你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 46

## 设备事件日志
[2026-08-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-08-20T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-08-20T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-20T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-20T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-20T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-20T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-20T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-20T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-20T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-20T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-20T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-20T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-20T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-20T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-20T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-20T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-20T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-20T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-20T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-20T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-20T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-20T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-20T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-20T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-08-20T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-20T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-20T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T19:32:17] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T20:57:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T22:22:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T23:47:04] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
系统刚记录到以下一段设备状态变化。请评估这些变化是否已经构成安全风险，并说明原因。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 短时间内两个不同房间窗户先后打开",
    "推理步骤2: 触发时间位于深夜",
    "推理步骤3: 随后出现室内运动"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开",
    "触发时间位于深夜",
    "随后出现室内运动"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "这些变化仍可视为正常波动。",
  "reasoning": [
    "推理步骤1: 没有看到必须报警的直接证据。"
  ],
  "key_evidence": [
    "设备状态变化幅度看起来仍在可接受范围内。"
  ],
  "recommended_actions": [
    "保持观察即可。"
  ]
}


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅落地灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor], 次卧温度传感器[temperature_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 24

## 设备事件日志
[2026-08-22T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-08-22T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-08-22T02:12:00] entrance_light | OnOff.OnOff = True
[2026-08-22T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T10:54:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T13:29:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T16:04:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T18:39:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T21:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "credential_theft",
  "threat_description": "临时访客码在非预约时段使用",
  "reasoning": [
    "推理步骤1: 凌晨 02:11 门锁解锁并开门",
    "推理步骤2: 玄关灯随后开启",
    "推理步骤3: 紧接着出现室内活动，不像误触"
  ],
  "key_evidence": [
    "凌晨 02:11 门锁解锁并开门",
    "玄关灯随后开启",
    "紧接着出现室内活动，不像误触"
  ],
  "recommended_actions": [
    "标记为异常入户，建议检查临时访客码使用记录并立即重置。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间离家模式及随后的日间正常活动，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 分析时间线，02:11 分门锁解锁 (LockState=2) 且门接触传感器状态为 False (开门)，随后玄关灯开启 (OnOff=True)，这是典型的住户夜间起床或起夜开门行为。",
    "推理步骤 2: 在 02:13 分客厅运动传感器检测到有人 (Occupancy=1)，紧接着在 02:30 分所有房间（包括入口、卧室、卫生间）的运动传感器均报告无人 (Occupancy=0)，表明住户已离开房屋并锁好门，符合正常的睡眠/离家周期。",
    "推理步骤 3: 后续日志中，从 10:54 开始出现的多次客厅有人检测事件，时间分布均匀（上午、下午、傍晚），符合白天的正常居住活动规律，无异常入侵迹象。"
  ],
  "key_evidence": [
    "02:11 门锁解锁与开门动作后，短时间内 (约 20 分钟) 全屋恢复无人状态。",
    "日间 (10:54 - 21:14) 的 occupancy 变化呈现规律的白天活动模式，无深夜长时间滞留或非法闯入特征。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前的设备监控策略。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 床头灯[onoff_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房运动传感器[occupancy_sensor], 厨房漏水传感器[water_leak_detector]
- 房间 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light
- 已选事件数: 29

## 设备事件日志
[2026-07-18T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-18T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-18T04:09:00] living_room_light | OnOff.OnOff = True
[2026-07-18T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T06:54:08] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-18T06:54:08] front_door_lock | DoorLock.LockState = 2
[2026-07-18T06:54:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-18T06:54:11] front_door_lock | DoorLock.LockState = 1
[2026-07-18T08:26:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-18T08:26:00] front_door_lock | DoorLock.LockState = 2
[2026-07-18T08:26:10] living_room_light | OnOff.OnOff = True
[2026-07-18T12:33:00] living_room_light | OnOff.OnOff = False
[2026-07-18T14:03:20] living_room_light | OnOff.OnOff = True
[2026-07-18T19:30:04] living_room_light | LevelControl.CurrentLevel = 31
[2026-07-18T20:40:00] living_room_light | OnOff.OnOff = False
[2026-07-18T20:43:09] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-18T20:43:09] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "门锁状态变化但没有对应开门链路",
  "reasoning": [
    "推理步骤1: 门锁状态先解锁再回锁",
    "推理步骤2: 缺乏门磁开关记录",
    "推理步骤3: 却伴随室内灯光变化"
  ],
  "key_evidence": [
    "门锁状态先解锁再回锁",
    "缺乏门磁开关记录",
    "却伴随室内灯光变化"
  ],
  "recommended_actions": [
    "判为异常门锁状态切换，建议核查锁日志与物理门状态。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人正常的夜间睡眠、清晨起床及日间活动模式，门锁操作符合预期，未发现入侵或异常行为迹象。",
  "reasoning": [
    "时间线分析：日志始于凌晨 03:00 至 04:00，所有房间（包括玄关、卧室、客厅等）的 Occupancy 均为 0，表明住户处于深度睡眠状态，这是独居老人典型的夜间休息模式。",
    "门锁行为验证：在 04:06-04:11 期间，门锁先解锁后上锁（LockState 2->1），随后在 06:54 和 08:26 分别有明确的 Manual 手动开锁和上锁记录，且伴随玄关/客厅灯光开启，这完全符合老人起床如厕、洗漱并准备出门或开始一天的正常生活流程。",
    "无入侵迹象：在整个监控时段内，虽然门锁被操作过，但从未检测到非授权进入事件（如门打开后长时间有人停留却未触发运动传感器，或门关闭时内部无人）。所有开门动作均紧随室内人员活动（灯光亮起）之后，逻辑自洽。",
    "设备状态正常：Living_room_light 的开关和调光操作与 occupancy 变化（虽日志中 occupancy 多为 0，但结合灯光开启时间点推断为人为控制）一致，烟雾报警器和漏水传感器未在日志中报错，系统运行平稳。"
  ],
  "key_evidence": [
    "04:06-04:11 门锁自动/远程锁定序列与后续 06:54 的手动开门序列形成连贯的‘起夜 - 起床’逻辑。",
    "08:26 开门后立即开启客厅灯 (08:26:10)，符合老人起床后的常规习惯。",
    "全时段各房间 Occupancy 为 0 的时间段与门锁锁定状态吻合，排除了夜间非法闯入的可能性。"
  ],
  "recommended_actions": [
    "继续按当前频率监测，无需立即干预。",
    "建议关注今日剩余时间的活动情况，确保老人按时用餐和就寝。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 46

## 设备事件日志
[2026-07-01T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-01T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-07-01T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-01T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-01T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-01T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-01T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-01T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-01T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-01T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-01T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-01T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-01T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-01T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-01T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-01T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-01T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-01T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-01T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-01T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-01T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-01T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-01T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-01T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-01T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-01T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-01T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-01T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T19:24:13] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T20:45:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T22:10:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T23:35:09] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 短时间内两个不同房间窗户先后打开",
    "推理步骤2: 触发时间位于深夜",
    "推理步骤3: 随后出现室内运动"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开",
    "触发时间位于深夜",
    "随后出现室内运动"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "这些变化仍可视为正常波动。",
  "reasoning": [
    "推理步骤1: 没有看到必须报警的直接证据。"
  ],
  "key_evidence": [
    "设备状态变化幅度看起来仍在可接受范围内。"
  ],
  "recommended_actions": [
    "保持观察即可。"
  ]
}


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher], 厨房漏水传感器[water_leak_detector]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅副灯[dimmable_light], 客厅氛围灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘1[window_covering], 客厅窗户传感器1[contact_sensor], ... 共10个设备
- 房间 master_bathroom: 主卫灯[onoff_light], 主卫运动传感器[occupancy_sensor], 主卫漏水传感器[water_leak_detector]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧床头灯[onoff_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bathroom: 次卫灯[onoff_light], 次卫漏水传感器[water_leak_detector]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧空调[air_conditioner], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light_1
- 已选事件数: 24

## 设备事件日志
[2026-08-17T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-17T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-17T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-17T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:17:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-17T07:17:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-17T16:23:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-17T18:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

## 任务
系统刚记录到以下一段设备状态变化。请评估这些变化是否已经构成安全风险，并说明原因。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "门锁状态变化但没有对应开门链路",
  "reasoning": [
    "推理步骤1: 门锁状态先解锁再回锁",
    "推理步骤2: 缺乏门磁开关记录",
    "推理步骤3: 却伴随室内灯光变化"
  ],
  "key_evidence": [
    "门锁状态先解锁再回锁",
    "缺乏门磁开关记录",
    "却伴随室内灯光变化"
  ],
  "recommended_actions": [
    "判为异常门锁状态切换，建议核查锁日志与物理门状态。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示的家庭活动模式符合正常的夜间睡眠及次日清晨起床开门的规律，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 03:00 至 04:00 期间，全屋（包括入户玄关、客厅、卧室等）运动传感器均报告无人 (Occupancy=0)，且入户门锁状态在 04:06-04:09 之间发生了短暂的'解锁->上锁'循环。结合时间判断，这极可能是住户睡前检查门锁或误触后自动/手动重新上锁的正常行为，随后系统进入静默监控状态。",
    "推理步骤 2: 07:17 记录到一次明确的'手动解锁'事件，紧接着在 07:17:33 发生'手动上锁'事件。这一秒级的操作间隔完全符合住户早晨出门前正常关门上锁的行为习惯，且发生在白天非敏感时段。",
    "推理步骤 3: 下午 16:23 和傍晚 18:05 分别记录了两次'手动上锁'事件，对应住户下班回家进门后的正常操作。整个日志序列中，所有设备状态变化均有合理的用户行为解释，未出现入侵迹象（如门被非法打开）、异常停留或设备故障特征。"
  ],
  "key_evidence": [
    "凌晨时段全屋无人员活动，门锁短暂状态波动后立即恢复锁定状态。",
    "早晨 07:17 的解锁与上锁操作时间间隔仅为 6 秒，符合正常出门流程。",
    "全天所有运动传感器读数均为 0 或符合预期的人员进出逻辑，无长时间异常滞留。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，当前系统运行正常。",
    "建议继续保持对入户门锁状态的实时监控，确保下次离家时确认已上锁。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 床头灯[onoff_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房运动传感器[occupancy_sensor], 厨房漏水传感器[water_leak_detector]
- 房间 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light
- 已选事件数: 29

## 设备事件日志
[2026-07-19T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-19T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-19T04:09:00] living_room_light | OnOff.OnOff = True
[2026-07-19T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T07:01:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-19T07:01:02] front_door_lock | DoorLock.LockState = 2
[2026-07-19T07:01:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-19T07:01:12] front_door_lock | DoorLock.LockState = 1
[2026-07-19T08:26:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-19T08:26:00] front_door_lock | DoorLock.LockState = 2
[2026-07-19T08:26:12] living_room_light | OnOff.OnOff = True
[2026-07-19T12:37:00] living_room_light | OnOff.OnOff = False
[2026-07-19T13:59:20] living_room_light | OnOff.OnOff = True
[2026-07-19T19:20:10] living_room_light | LevelControl.CurrentLevel = 36
[2026-07-19T20:38:00] living_room_light | OnOff.OnOff = False
[2026-07-19T20:42:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-19T20:42:19] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "门锁状态变化但没有对应开门链路",
  "reasoning": [
    "推理步骤1: 门锁状态先解锁再回锁",
    "推理步骤2: 缺乏门磁开关记录",
    "推理步骤3: 却伴随室内灯光变化"
  ],
  "key_evidence": [
    "门锁状态先解锁再回锁",
    "缺乏门磁开关记录",
    "却伴随室内灯光变化"
  ],
  "recommended_actions": [
    "判为异常门锁状态切换，建议核查锁日志与物理门状态。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人正常的夜间休息、清晨起床及日间活动模式，门锁操作符合预期，未发现入侵或异常行为。",
  "reasoning": [
    "推理步骤 1: 分析时间线，03:00-04:00 期间所有房间（包括玄关、卧室、厨房等）的 Occupancy 均为 0，且入户门锁处于锁定状态 (LockState=2)，符合独居老人夜间睡眠的正常作息。",
    "推理步骤 2: 04:06-04:07 出现了一次短暂的锁状态变化 (2->1->2)，随后在 04:09 打开了客厅灯。考虑到此时为凌晨，可能是老人起夜如厕后忘记重新上锁，或者传感器误报有人经过触发了解锁逻辑，但紧接着在 04:30 全屋再次确认无人，且后续直到 07:01 才有明确的开门事件，因此该短暂波动更倾向于偶发的正常干扰或非侵入性事件，未构成持续威胁。",
    "推理步骤 3: 07:01 和 08:26 的门锁操作均伴随明确的 Manual 来源记录，且随后有开灯行为，符合老人起床洗漱、准备出门或开始日常活动的规律；20:42 门锁解锁状态变为 1（未锁定），结合之前关灯的时间点，极有可能是老人睡前将门打开以便进出或通风，属于正常家庭行为。",
    "推理步骤 4: 全程未检测到烟雾报警、漏水报警、灶具异常开启或窗户非法开启等安全设备故障或入侵信号，整体行为模式与独居老人的生活习惯高度一致。"
  ],
  "key_evidence": [
    "03:00-04:00 全屋无人员活动且门锁保持锁定状态。",
    "07:01 和 08:26 的门锁操作均有明确的 Manual 手动操作记录，且后续行为（开灯）符合起床活动逻辑。",
    "未出现任何安全传感器（烟雾、漏水、门窗接触）的异常报警信号。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议定期回顾 04:06 附近的短暂锁状态波动日志，确认是否为传感器灵敏度设置问题，若频繁发生可调整阈值。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 95

## 跨天活动摘要
- 2026-08-15: living_room=198, bedroom=207, bathroom=55, kitchen=14, entrance=3

## 设备事件日志
[2026-08-15T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-15T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2292
[2026-08-15T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-15T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2289
[2026-08-15T01:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2296
[2026-08-15T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-08-15T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-15T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-15T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-15T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-15T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-15T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2225
[2026-08-15T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-15T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-15T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2211
[2026-08-15T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-15T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-15T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-15T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-15T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2232
[2026-08-15T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-15T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-15T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2230
[2026-08-15T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-15T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-15T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2233
[2026-08-15T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-15T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-15T02:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2235
[2026-08-15T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-15T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-15T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2236
[2026-08-15T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-15T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-08-15T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-15T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-15T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-08-15T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-15T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-15T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-15T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-15T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2243
[2026-08-15T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-15T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-15T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-15T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-15T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-15T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-15T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-15T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-15T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-08-15T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-15T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-08-15T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-15T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-15T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-08-15T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-15T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-15T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-08-15T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-15T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-15T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-15T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-15T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-15T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-15T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-15T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-08-15T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-15T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-15T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-08-15T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-08-15T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-08-15T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2408
[2026-08-15T10:38:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T13:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T15:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T18:23:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T20:58:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T23:33:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T23:53:00] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
以下是过去一段时间的设备活动记录。请识别其中是否存在可疑行为模式，并解释你的判断。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 短时间内两个不同房间窗户先后打开",
    "推理步骤2: 触发时间位于深夜",
    "推理步骤3: 随后出现室内运动"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开",
    "触发时间位于深夜",
    "随后出现室内运动"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 床头灯[onoff_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房运动传感器[occupancy_sensor], 厨房漏水传感器[water_leak_detector]
- 房间 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light
- 已选事件数: 29

## 设备事件日志
[2026-07-07T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-07T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-07T04:09:00] living_room_light | OnOff.OnOff = True
[2026-07-07T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T07:00:07] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-07T07:00:07] front_door_lock | DoorLock.LockState = 2
[2026-07-07T07:00:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-07T07:00:18] front_door_lock | DoorLock.LockState = 1
[2026-07-07T08:26:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-07T08:26:00] front_door_lock | DoorLock.LockState = 2
[2026-07-07T08:26:17] living_room_light | OnOff.OnOff = True
[2026-07-07T12:30:00] living_room_light | OnOff.OnOff = False
[2026-07-07T13:54:10] living_room_light | OnOff.OnOff = True
[2026-07-07T19:27:09] living_room_light | LevelControl.CurrentLevel = 35
[2026-07-07T20:34:00] living_room_light | OnOff.OnOff = False
[2026-07-07T20:53:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-07T20:53:11] front_door_lock | DoorLock.LockState = 1

## 任务
系统刚记录到以下一段设备状态变化。请评估这些变化是否已经构成安全风险，并说明原因。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "门锁状态变化但没有对应开门链路",
  "reasoning": [
    "推理步骤1: 门锁状态先解锁再回锁",
    "推理步骤2: 缺乏门磁开关记录",
    "推理步骤3: 却伴随室内灯光变化"
  ],
  "key_evidence": [
    "门锁状态先解锁再回锁",
    "缺乏门磁开关记录",
    "却伴随室内灯光变化"
  ],
  "recommended_actions": [
    "判为异常门锁状态切换，建议核查锁日志与物理门状态。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人正常的夜间休息、清晨起床及日间活动模式，未发现入侵或异常行为迹象。",
  "reasoning": [
    "推理步骤 1: 凌晨 04:06-04:07 门锁状态变化（2->1）发生在所有房间运动传感器均报告无人（Occupancy=0）的情况下，且随后在 04:09 客厅灯被打开，这符合老人起夜如厕后返回卧室并锁门的正常生理节律，而非入侵者尝试开门。",
    "推理步骤 2: 早晨 07:00 和 08:26 的门锁操作（解锁->上锁）与随后的灯光开启时间吻合，构成了典型的‘出门 - 关门’或‘回家 - 开灯’的完整闭环，逻辑连贯。",
    "推理步骤 3: 整个时间段内，各房间运动传感器数据与设备动作（灯光开关、窗帘等）的时间序列高度一致，没有检测到未经授权的访问尝试、长时间未响应或设备故障特征。"
  ],
  "key_evidence": [
    "04:06 门锁解锁时，entrance_occupancy 和 living_room_occupancy 均为 0，排除了有人强行闯入的可能。",
    "07:00 和 08:26 的门锁操作紧随其后的灯光开启事件，符合住户主动回家的行为模式。",
    "全时段无烟雾、漏水或其他紧急传感器报警。"
  ],
  "recommended_actions": [
    "继续监控，当前无需干预。",
    "建议定期回顾此类夜间活动日志，以建立更精准的基线模型，区分偶尔的起夜和潜在的异常徘徊。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher], 厨房漏水传感器[water_leak_detector]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅副灯[dimmable_light], 客厅氛围灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘1[window_covering], 客厅窗户传感器1[contact_sensor], ... 共10个设备
- 房间 master_bathroom: 主卫灯[onoff_light], 主卫运动传感器[occupancy_sensor], 主卫漏水传感器[water_leak_detector]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧床头灯[onoff_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bathroom: 次卫灯[onoff_light], 次卫漏水传感器[water_leak_detector]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧空调[air_conditioner], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 24

## 设备事件日志
[2026-07-04T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-04T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-04T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-04T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

## 任务
系统刚记录到以下一段设备状态变化。请评估这些变化是否已经构成安全风险，并说明原因。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "凌晨2点11分入户门锁被解锁且门传感器显示开启，随后玄关灯亮起并检测到客厅有人活动，存在极高的非法入侵风险。",
  "reasoning": [
    "时间异常：事件发生在凌晨02:11，属于典型的深夜时段，此时家庭成员通常处于睡眠状态，非正常活动时间。",
    "物理访问异常：日志显示 front_door_lock (DoorLock.LockState = 2) 变为解锁状态，同时 front_door_contact (BooleanState.StateValue = False) 表明门已打开。在无人知晓或无预设自动化场景的情况下，深夜开门是强烈的入侵信号。",
    "人员活动轨迹吻合：门开后1分钟（02:12）玄关灯亮起，紧接着（02:13）living_room_occupancy 检测到有人（Occupancy=1），并在短时间内（02:30）消失。这种“开门-亮灯-进入室内-离开/静止”的行为模式符合入侵者进入住宅后短暂停留或寻找物品的特征，而非正常的夜间起床活动（通常会有更长的停留或伴随其他如卫生间传感器的活动）。"
  ],
  "key_evidence": [
    "[2026-07-04T02:11:00] front_door_lock | DoorLock.LockState = 2 (门锁解锁)",
    "[2026-07-04T02:11:00] front_door_contact | BooleanState.StateValue = False (门打开)",
    "[2026-07-04T02:12:00] entrance_light | OnOff.OnOff = True (玄关灯开启)",
    "[2026-07-04T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1 (客厅检测到人体)"
  ],
  "recommended_actions": [
    "立即触发最高级别安全警报，通知住户及安保服务。",
    "检查入户门附近的监控摄像头录像，确认闯入者身份及行为。",
    "远程锁定入户门锁（如果支持且未损坏），并检查其他门窗传感器状态以防二次入侵。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "credential_theft",
  "threat_description": "临时访客码在非预约时段使用",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "标记为异常入户，建议检查临时访客码使用记录并立即重置。"
  ]
}


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 床头灯[onoff_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房运动传感器[occupancy_sensor], 厨房漏水传感器[water_leak_detector]
- 房间 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 38

## 跨天活动摘要
- 2026-08-28: entrance=231, bedroom=242, kitchen=240, living_room=210, bathroom=62

## 设备事件日志
[2026-08-28T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:07:08] kitchen_light | OnOff.OnOff = True
[2026-08-28T06:59:00] kitchen_light | OnOff.OnOff = False
[2026-08-28T06:59:09] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-28T06:59:09] front_door_lock | DoorLock.LockState = 2
[2026-08-28T06:59:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-28T06:59:16] front_door_lock | DoorLock.LockState = 1
[2026-08-28T08:26:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-28T08:26:00] front_door_lock | DoorLock.LockState = 2
[2026-08-28T09:51:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T11:08:00] kitchen_light | OnOff.OnOff = True
[2026-08-28T12:41:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T15:30:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T16:54:00] kitchen_light | OnOff.OnOff = True
[2026-08-28T18:20:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T20:54:15] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-28T20:54:15] front_door_lock | DoorLock.LockState = 1
[2026-08-28T21:06:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T21:51:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T21:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:11:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:11:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:31:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:31:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:34:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:34:09] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:51:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:54:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:54:09] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:55:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T23:11:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:11:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:14:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:14:09] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-08-28T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:25:00] kitchen_light | OnOff.OnOff = True

## 任务
请根据以下设备记录评估当前是否需要安全响应；若需要，请说明原因与处置建议。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "credential_theft",
  "threat_description": "远程解锁后室内活动延迟出现",
  "reasoning": [
    "推理步骤1: 先出现远程解锁结果",
    "推理步骤2: 几分钟后才有室内活动",
    "推理步骤3: 中间缺乏正常进门链路"
  ],
  "key_evidence": [
    "先出现远程解锁结果",
    "几分钟后才有室内活动",
    "中间缺乏正常进门链路"
  ],
  "recommended_actions": [
    "标记为可疑远程开锁事件，建议核查账户凭证与远程授权。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人正常的日间活动模式及晚间规律作息，未发现入侵、异常停留或设备故障迹象。",
  "reasoning": [
    "时间线分析：日志从清晨 06:59 开始记录门锁解锁（LockOperationType=1），随后在 08:26 再次解锁出门，符合老人起床洗漱后外出买菜或活动的正常行为；傍晚 20:54 门锁状态变为 1（通常代表未锁定/开启），紧接着 21:06 客厅出现人员活动，表明老人已安全返回家中。",
    "活动连贯性：晚间 22:34 至 23:25 期间，厨房、卧室、卫生间等区域的人员占用传感器（OccupancySensing.Occupancy）频繁交替触发为 1，且伴随厨房灯光开启，显示出老人在室内进行正常的晚餐准备、休息和如厕等活动，无长时间静止或异常徘徊现象。",
    "设备状态验证：所有关键设备（门锁、运动传感器、照明）的状态变化逻辑自洽，未见传感器卡死（sensor_stuck）、误报或设备离线等异常情况，光照与人员活动的时间匹配度良好。"
  ],
  "key_evidence": [
    "2026-08-28T06:59:09 门锁手动解锁操作，随后于 08:26 再次解锁，符合外出习惯。",
    "2026-08-28T20:54:15 门锁状态变更，随即在 21:06 检测到客厅有人，确认老人安全归家。",
    "晚间多房间（厨房、卧室、卫生间）占用信号交替出现，显示正常的居家生活轨迹。"
  ],
  "recommended_actions": [
    "继续监控当前状态，无需立即干预。",
    "建议保持对门锁状态和夜间活动模式的常规周期性检查。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅落地灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor], 次卧温度传感器[temperature_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 30

## 设备事件日志
[2026-08-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T07:08:08] kitchen_light | OnOff.OnOff = True
[2026-08-27T07:30:00] kitchen_light | OnOff.OnOff = False
[2026-08-27T07:30:28] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-27T07:30:28] front_door_lock | DoorLock.LockState = 2
[2026-08-27T07:30:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-27T07:30:33] front_door_lock | DoorLock.LockState = 1
[2026-08-27T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-27T18:07:00] front_door_lock | DoorLock.LockState = 2
[2026-08-27T19:07:00] kitchen_light | OnOff.OnOff = True
[2026-08-27T19:32:17] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T21:02:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T22:02:46] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-27T22:02:46] front_door_lock | DoorLock.LockState = 1
[2026-08-27T22:12:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T22:12:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T22:32:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T22:32:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T22:52:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T22:52:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T23:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T23:09:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T23:12:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T23:12:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-08-27T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T23:25:00] kitchen_light | OnOff.OnOff = True

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "credential_theft",
  "threat_description": "远程解锁后室内活动延迟出现",
  "reasoning": [
    "推理步骤1: 先出现远程解锁结果",
    "推理步骤2: 几分钟后才有室内活动",
    "推理步骤3: 中间缺乏正常进门链路"
  ],
  "key_evidence": [
    "先出现远程解锁结果",
    "几分钟后才有室内活动",
    "中间缺乏正常进门链路"
  ],
  "recommended_actions": [
    "标记为可疑远程开锁事件，建议核查账户凭证与远程授权。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的家庭作息模式，包括早晚出门/回家及夜间活动，未发现入侵或异常行为迹象。",
  "reasoning": [
    "推理步骤 1: 分析门锁事件，07:30 和 22:02 分别记录了手动上锁（LockState=2）和下锁（LockState=1）操作，且随后有对应的开门/关门动作逻辑，符合住户正常离家和回家的行为模式。",
    "推理步骤 2: 检查厨房灯光与占用传感器，19:07 开启厨房灯，21:02 客厅有人，23:25 再次开启厨房灯，时间分布合理，符合晚间用餐或准备食物的习惯，无长时间无人看管烹饪的迹象。",
    "推理步骤 3: 观察 occupancy 传感器数据，22:12 至 23:25 期间玄关、客厅、主卧等区域人员进出频繁但状态切换自然，23:00 次卧和主卧无人，符合家庭成员休息前的正常流动，未检测到尾随（Tailgating）或非法闯入特征。"
  ],
  "key_evidence": [
    "07:30 和 22:02 的 DoorLock.LockOperation 事件序列完整且符合逻辑。",
    "living_room_occupancy 和 entrance_occupancy 的状态变化与前后门的开关时间高度同步。",
    "kitchen_light 的开启时间与 living_room_occupancy 的活跃时段存在合理的关联。"
  ],
  "recommended_actions": [
    "继续监控当前设备状态，无需立即干预。",
    "建议定期校准 occupancy_sensor 以确保夜间低光照下的检测准确性。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅落地灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor], 次卧温度传感器[temperature_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light_1
- 已选事件数: 24

## 设备事件日志
[2026-08-19T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-19T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-19T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-19T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T07:33:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-19T07:33:22] front_door_lock | DoorLock.LockState = 2
[2026-08-19T07:33:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-19T07:33:33] front_door_lock | DoorLock.LockState = 1
[2026-08-19T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-19T18:12:00] front_door_lock | DoorLock.LockState = 2
[2026-08-19T18:12:23] living_room_light_1 | OnOff.OnOff = True
[2026-08-19T21:47:00] living_room_light_1 | OnOff.OnOff = False

## 任务
系统刚记录到以下一段设备状态变化。请评估这些变化是否已经构成安全风险，并说明原因。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "门锁状态变化但没有对应开门链路",
  "reasoning": [
    "推理步骤1: 门锁状态先解锁再回锁",
    "推理步骤2: 缺乏门磁开关记录",
    "推理步骤3: 却伴随室内灯光变化"
  ],
  "key_evidence": [
    "门锁状态先解锁再回锁",
    "缺乏门磁开关记录",
    "却伴随室内灯光变化"
  ],
  "recommended_actions": [
    "判为异常门锁状态切换，建议核查锁日志与物理门状态。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间无人状态及白天的常规出入和开灯行为，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 03:00 至 04:30 期间，所有房间（包括玄关、客厅、卧室、卫生间）的运动传感器均报告 Occupancy = 0，且入户门锁在 04:06-04:09 处于解锁状态（LockState=1），随后于 07:33 被手动上锁。这符合住户夜间外出或清晨离家前的正常场景，无入侵迹象。",
    "推理步骤 2: 07:33 的日志记录了明确的'LockOperation'事件，操作源为'Manual'（手动），先解锁后上锁，时间间隔仅 11 秒，这是典型的住户开门进入并关门的正常行为模式。",
    "推理步骤 3: 18:12 再次记录到手动解锁和上锁操作，紧接着 18:12:23 客厅主灯开启，21:47 关闭。这一系列动作（回家->开门->开灯->休息/活动->关灯->关门）完全符合家庭日常作息规律，设备响应及时，逻辑连贯。"
  ],
  "key_evidence": [
    "07:33 和 18:12 均有明确的手动锁具操作记录 (OperationSource=Manual) 且伴随状态变化，证实是人为控制。",
    "全时段运动传感器数据与门锁状态变化在时间轴上逻辑一致，不存在‘有人移动但门未开’或‘门开后长时间无人’等矛盾情况。",
    "灯光开启时间与入户开锁时间高度相关，符合用户回家后的自然行为链。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前的日志监控频率，关注未来是否有非授权时间的门锁异常变动。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 床头灯[onoff_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房运动传感器[occupancy_sensor], 厨房漏水传感器[water_leak_detector]
- 房间 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light
- 已选事件数: 29

## 设备事件日志
[2026-07-22T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T04:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-22T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-22T04:09:00] living_room_light | OnOff.OnOff = True
[2026-07-22T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T04:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T04:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T07:04:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-22T07:04:02] front_door_lock | DoorLock.LockState = 2
[2026-07-22T07:04:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-22T07:04:08] front_door_lock | DoorLock.LockState = 1
[2026-07-22T08:34:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-22T08:34:00] front_door_lock | DoorLock.LockState = 2
[2026-07-22T08:34:16] living_room_light | OnOff.OnOff = True
[2026-07-22T12:38:00] living_room_light | OnOff.OnOff = False
[2026-07-22T13:54:19] living_room_light | OnOff.OnOff = True
[2026-07-22T19:24:07] living_room_light | LevelControl.CurrentLevel = 45
[2026-07-22T20:22:00] living_room_light | OnOff.OnOff = False
[2026-07-22T20:51:07] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-22T20:51:07] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "门锁状态变化但没有对应开门链路",
  "reasoning": [
    "推理步骤1: 门锁状态先解锁再回锁",
    "推理步骤2: 缺乏门磁开关记录",
    "推理步骤3: 却伴随室内灯光变化"
  ],
  "key_evidence": [
    "门锁状态先解锁再回锁",
    "缺乏门磁开关记录",
    "却伴随室内灯光变化"
  ],
  "recommended_actions": [
    "判为异常门锁状态切换，建议核查锁日志与物理门状态。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的独居老人日间活动模式，无安全威胁迹象。",
  "reasoning": [
    "时间线分析：所有事件发生在白天（04:00 - 21:00），符合正常作息。凌晨 04:06-04:09 的锁状态变化（LockState 2->1）伴随随后 07:04 和 08:34 的正常开门/关门操作，表明该时段可能是误触或测试，但后续行为已恢复正常且有人在场（灯光开启）。",
    " occupancy 一致性：在门锁解锁（07:04）和开启客厅灯（08:34）前后，各房间运动传感器均报告 Occupancy=0，这在独居老人场景下是合理的（例如刚起床、正在洗漱或移动中未触发特定区域传感器，或者传感器采样间隔导致短暂未上报，但整体无长时间无人却频繁操作的矛盾）。",
    "设备行为逻辑：前门锁的操作序列（07:04 开->关，08:34 开->关，20:51 关）与客厅灯的开关（08:34 开，12:38 关，13:54 开，20:22 关）高度吻合，呈现出典型的“出门锁门”、“回家开灯”、“睡觉关灯”的生活规律，未发现强行闯入、尾随或异常滞留的迹象。"
  ],
  "key_evidence": [
    "07:04 和 08:34 的前门手动开锁/闭锁操作与随后的客厅灯光开启时间紧密相关，符合居民回家的行为模式。",
    "全天各房间运动传感器状态基本一致，没有出现‘全屋无人’但‘门锁频繁被远程操控’或‘窗户异常打开’等入侵特征。",
    "20:51 前门关闭操作后，系统进入夜间静默期，符合睡前准备流程。"
  ],
  "recommended_actions": [
    "继续监控，当前无需干预。",
    "建议关注 04:06 的锁状态变化原因，若老人有认知障碍，可考虑设置防误触策略或提醒家属确认当时情况。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 living_room: 客厅主灯[dimmable_light], 客厅副灯[dimmable_light], 客厅氛围灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘1[window_covering], 客厅窗户传感器1[contact_sensor], ... 共10个设备
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher], 厨房漏水传感器[water_leak_detector]
- 房间 master_bathroom: 主卫灯[onoff_light], 主卫运动传感器[occupancy_sensor], 主卫漏水传感器[water_leak_detector]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧床头灯[onoff_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bathroom: 次卫灯[onoff_light], 次卫漏水传感器[water_leak_detector]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧空调[air_conditioner], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 135

## 跨天活动摘要
- 2026-07-04: living_room=49, dining_room=48, master_bedroom=48, second_bedroom=48, kids_room=48, master_bathroom=48
- 2026-07-05: living_room=49, dining_room=48, master_bedroom=48, second_bedroom=48, kids_room=48, master_bathroom=48
- 2026-07-06: living_room=111, master_bedroom=232, entrance=228, kids_room=227, dining_room=218, master_bathroom=54

## 设备事件日志
[2026-07-04T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-04T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-04T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-04T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-04T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-04T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-04T02:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-04T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-04T02:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-04T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-04T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-04T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-04T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-04T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-04T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-04T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-04T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-04T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-04T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-04T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-04T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-04T03:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-04T03:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-04T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-04T03:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-04T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-04T03:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-04T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-04T03:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-07-04T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-04T03:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-04T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-04T03:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-04T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-04T03:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-04T03:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-04T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-04T03:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-04T03:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-04T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-07-04T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-04T03:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-04T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-04T04:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-07-04T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-07-04T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T04:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-07-04T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-07-04T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2425
[2026-07-04T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2424
[2026-07-04T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2423
[2026-07-05T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-05T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-05T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-05T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-05T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-05T02:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-05T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-05T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-05T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-05T02:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-05T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-05T02:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-05T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-05T02:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-05T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-05T02:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-05T02:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-05T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-05T03:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-05T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-05T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-05T03:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-05T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-05T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T03:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-05T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-05T03:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-05T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-05T03:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-05T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-07-05T03:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-05T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-05T03:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-05T03:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-05T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-05T03:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-05T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-05T03:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-07-05T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-07-05T03:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-05T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-07-05T03:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-07-05T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-05T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-07-05T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-07-05T04:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2427
[2026-07-05T04:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2423
[2026-07-05T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-06T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-06T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-06T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T03:15:00] kitchen_light | OnOff.OnOff = True

## 任务
请从下面 3 天的时序日志中分析住户或环境是否出现异常模式，不要只看单个事件。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "连续多天同一时段出现陌生运动模式",
  "reasoning": [
    "推理步骤1: 连续 3 天都在 03:14 出现客厅运动",
    "推理步骤2: 时间点高度一致",
    "推理步骤3: 第 3 天继续延伸到厨房活动"
  ],
  "key_evidence": [
    "连续 3 天都在 03:14 出现客厅运动",
    "时间点高度一致",
    "第 3 天继续延伸到厨房活动"
  ],
  "recommended_actions": [
    "标记为重复异常夜间活动，建议排查入侵或异常访客。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_drift",
  "threat_description": "温度传感器读数严重偏离物理现实，显示为 2300K+ (约 2000°C)，而非正常的摄氏度数值，表明传感器数据漂移或固件故障。",
  "reasoning": [
    "推理步骤 1: 分析日志中的温度数据，发现 living_room_temp_sensor、kids_room_temp_sensor 等设备的 TemperatureMeasurement.MeasuredValue 在 2026-07-04 至 07-06 期间持续报告 2300 至 2400 之间的数值。",
    "推理步骤 2: 结合家庭环境常识，室内环境温度通常在 -10°C 到 50°C 之间（即 263K 到 323K）。日志中的数值（如 2324）若解释为开尔文，意味着室温高达 2051°C，这在住宅环境中是不可能的；若解释为摄氏度，则远超任何已知传感器的量程且会导致火灾报警立即触发。",
    "推理步骤 3: 对比同一时间段内的 occupancy_sensor 状态，虽然检测到有人活动（Occupancy=1），但并未伴随空调异常开启或烟雾报警器触发，且跨天模式显示该错误读数具有持续性而非瞬时干扰，这排除了真实高温事件的可能性，确认为传感器数据漂移（Sensor Drift）或校准错误。",
    "推理步骤 4: 这种数据异常可能导致基于温度的自动化逻辑（如恒温器控制、漏水联动判断）失效，属于设备层面的安全隐患。"
  ],
  "key_evidence": [
    "[2026-07-04T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324",
    "[2026-07-04T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407",
    "[2026-07-05T04:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2427"
  ],
  "recommended_actions": [
    "立即检查客厅和厨房的温度传感器硬件连接及供电情况。",
    "重置相关 Matter 设备并重新校准温度传感器。",
    "暂时禁用依赖这些温度读数的自动化场景，直至数据恢复正常。",
    "联系设备制造商获取固件更新或技术支持以修复潜在的固件 bug。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅落地灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor], 次卧温度传感器[temperature_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 28

## 跨天活动摘要
- 2026-08-27: entrance=234, living_room=109, bathroom=59, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-08-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-08-27T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-08-27T02:12:00] entrance_light | OnOff.OnOff = True
[2026-08-27T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T07:22:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-27T07:22:21] front_door_lock | DoorLock.LockState = 2

## 任务
请根据以下设备记录评估当前是否需要安全响应；若需要，请说明原因与处置建议。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "credential_theft",
  "threat_description": "临时访客码在非预约时段使用",
  "reasoning": [
    "推理步骤1: 凌晨 02:11 门锁解锁并开门",
    "推理步骤2: 玄关灯随后开启",
    "推理步骤3: 紧接着出现室内活动，不像误触"
  ],
  "key_evidence": [
    "凌晨 02:11 门锁解锁并开门",
    "玄关灯随后开启",
    "紧接着出现室内活动，不像误触"
  ],
  "recommended_actions": [
    "标记为异常入户，建议检查临时访客码使用记录并立即重置。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间离家与清晨入户行为模式，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 02:11 至 02:13 的事件序列（门锁解锁、门接触传感器断开、玄关灯开启）随后在 02:13 检测到客厅有人，符合住户夜间起床如厕或短暂活动后离家的正常行为逻辑。",
    "推理步骤 2: 该时段内所有房间（包括卧室和卫生间）的运动传感器均报告无人状态，且后续在 02:30 再次确认全屋无人，排除了入侵者滞留或非法进入的可能性。",
    "推理步骤 3: 早晨 07:22 的门锁操作记录明确标记为手动操作（Manual），且时间符合常规起床出门时间，进一步证实了这是住户正常的日常活动，而非异常闯入。"
  ],
  "key_evidence": [
    "02:11-02:13 期间仅玄关灯亮起且随后检测到客厅有人，无其他房间被激活。",
    "02:30 及之后多次心跳确认全屋运动传感器均为 0（无人）。",
    "07:22 门锁事件源明确为 Manual（手动），时间合理。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前的设备监控频率，确保数据完整性。"
  ]
}
```