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 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]
- 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 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 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]

## 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: 50

## 设备事件日志
[2026-07-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-07-27T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-07-27T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-27T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-27T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-27T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-27T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-27T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-27T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-27T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-27T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-27T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-27T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-27T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-27T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-27T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-27T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-27T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-27T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-27T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-27T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-27T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-27T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-27T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-07-27T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-27T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-27T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-27T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-27T09:42:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T12:32:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:20:16] 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": 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: 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
- 2026-07-29: entrance=233, master_bedroom=233, living_room=111, second_bedroom=48, bathroom=48, kitchen=11

## 设备事件日志
[2026-07-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-29T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-29T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-29T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T07:26:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-29T07:26:21] front_door_lock | DoorLock.LockState = 2

## 任务
监控系统标记了潜在异常。请分析下面的日志，判断是否需要采取响应措施，并给出建议。

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流程，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 02:11 检测到前门锁解锁 (LockState=2) 且门接触传感器状态为 False (开启)，随后玄关灯亮起，这是典型的住户夜间起床或起夜开门行为。",
    "推理步骤 2: 紧接着在 02:13 客厅运动传感器检测到有人 (Occupancy=1)，随后在 02:30 该区域无人状态恢复，表明住户短暂活动后返回卧室休息，符合正常作息。",
    "推理步骤 3: 次日早上 07:26 检测到手动锁门操作 (LockOperationType=1, OperationSource=Manual)，结合跨天摘要中 entrance 和 master_bedroom 的高计数，确认这是住户早晨出门前的正常上锁行为，整个序列逻辑连贯且符合人类习惯。"
  ],
  "key_evidence": [
    "02:11 门锁解锁与门开事件紧随其后，且伴随灯光开启，非暴力入侵特征。",
    "02:13 至 02:30 之间仅出现短暂的客厅有人信号，随后立即恢复无人状态，无长时间滞留。",
    "07:26 明确记录为 'Manual' 来源的锁门操作，证实是住户自主行为。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "可继续监控后续日志以确认全天模式是否一致。"
  ]
}
```


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: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 37

## 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] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] kitchen_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] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] kitchen_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
[2026-08-22T06:53:06] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-22T06:53:06] front_door_lock | DoorLock.LockState = 2
[2026-08-22T06:53:08] front_door_contact | BooleanState.StateValue = False
[2026-08-22T06:53:15] front_door_contact | BooleanState.StateValue = True
[2026-08-22T06:53:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-22T06:53:16] front_door_lock | DoorLock.LockState = 1
[2026-08-22T08:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-22T08:29:00] front_door_lock | DoorLock.LockState = 2
[2026-08-22T08:29:02] front_door_contact | BooleanState.StateValue = False
[2026-08-22T09:49:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T12:39:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T15:25:13] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T18:15:13] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T20:37:11] front_door_contact | BooleanState.StateValue = True
[2026-08-22T20:37:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-22T20:37:12] front_door_lock | DoorLock.LockState = 1
[2026-08-22T21:05:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T23:55:00] 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": "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": "日志显示独居老人正常的夜间外出、清晨离家及晚间归家活动模式，未发现入侵或异常行为。",
  "reasoning": [
    "推理步骤 1: 分析夜间时段 (02:11)，门锁解锁 (LockState=2) 伴随门磁断开 (False)，随后玄关灯亮起，紧接着客厅有人 (Occupancy=1)。这表明住户在凌晨正常起床并离开卧室前往客厅，随后离开房屋（因为之后长时间无室内人员且门锁状态未变），属于正常的夜间如厕或起夜后离房行为。",
    "推理步骤 2: 分析清晨时段 (06:53 - 08:29)，门锁先被手动上锁 (LockOperationType=1)，随后门磁闭合 (True)，接着又手动解锁 (LockOperationType=0) 并开门。这一序列符合住户早晨出门前检查/上锁，发现需要再次进出或调整，最终离家的标准操作流程。",
    "推理步骤 3: 分析傍晚时段 (20:37)，门磁先变为 True (关门)，随后门锁被手动上锁 (LockOperationType=1)。这是典型的住户下班回家进门并锁门的动作。随后的日志显示客厅有人，直到深夜 23:55 仍有活动记录，符合独居老人的日常作息规律。",
    "推理步骤 4: 综合所有事件，时间线连贯，设备状态变化逻辑自洽（开锁->开门->进屋/出屋->关门->锁门），且与独居老人的生活习惯相符，不存在强行闯入、尾随或设备故障的迹象。"
  ],
  "key_evidence": [
    "02:11 门锁解锁后随即检测到客厅有人，随后长时间无室内人员，符合夜间起夜离房特征。",
    "06:53 至 08:29 期间门锁操作顺序为：上锁 -> 关门 -> 解锁 -> 开门，符合早晨离家前的常规检查流程。",
    "20:37 门磁闭合后立即执行上锁操作，随后检测到客厅有人，符合晚间归家并锁门的正常行为。"
  ],
  "recommended_actions": [
    "确认当前系统运行正常，无需立即干预。",
    "建议继续保持对独居老人夜间活动模式的监控，以便及时发现真正的异常情况。"
  ]
}
```


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: 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: kitchen_light, living_room_occupancy
- 已选事件数: 132

## 跨天活动摘要
- 2026-07-10: living_room=112, bedroom=221, bathroom=56, entrance=14, kitchen=8
- 2026-07-11: living_room=193, bedroom=206, bathroom=58, kitchen=14, entrance=3
- 2026-07-12: living_room=193, bedroom=207, bathroom=56, kitchen=15, entrance=3

## 设备事件日志
[2026-07-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-07-10T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-10T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-10T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-10T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-10T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-10T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-10T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-07-10T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-07-10T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-10T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-10T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-07-10T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-10T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-10T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-07-10T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-10T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-10T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-10T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-10T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-07-10T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-10T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-10T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-07-10T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-10T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-10T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273
[2026-07-10T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-07-10T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-10T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-10T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-07-10T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-07-10T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-07-10T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-07-10T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-07-10T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-07-10T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2416
[2026-07-10T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2434
[2026-07-10T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2436
[2026-07-10T07:10:00] kitchen_light | OnOff.OnOff = False
[2026-07-10T21:42:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-11T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-11T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-11T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-11T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-11T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-11T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-07-11T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2238
[2026-07-11T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-11T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-11T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-07-11T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-11T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-11T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-07-11T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-11T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-11T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-11T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-11T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-07-11T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-11T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-11T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-07-11T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-11T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-11T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2280
[2026-07-11T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T03:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-07-11T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-11T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-11T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2286
[2026-07-11T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-11T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-11T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-07-11T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-07-11T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-07-11T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-07-11T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2418
[2026-07-11T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2419
[2026-07-11T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2432
[2026-07-11T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2428
[2026-07-11T11:51:00] kitchen_light | OnOff.OnOff = True
[2026-07-11T17:46:00] kitchen_light | OnOff.OnOff = True
[2026-07-12T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-12T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-12T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-12T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-12T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2238
[2026-07-12T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-12T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-12T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-12T02:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-07-12T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-12T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-12T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-07-12T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-12T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-12T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-07-12T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-12T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-12T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-07-12T03:15:00] kitchen_light | OnOff.OnOff = True
[2026-07-12T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-12T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-12T03:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2284
[2026-07-12T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-12T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-12T03:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-12T03:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-07-12T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-12T03:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383

## 任务
以下是过去 3 天的设备活动记录。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": "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": "客厅温度传感器读数异常偏高且持续上升，远超正常室温范围，疑似传感器故障或校准漂移。",
  "reasoning": [
    "推理步骤 1: 分析日志发现，从 2026-07-10T01:40:00 开始，living_room_temp_sensor 报告的温度值（MeasuredValue）在 2309 到 2436 之间波动。考虑到 Matter 协议中温度通常以 0.01°C 为单位，实际温度约为 23.09°C 至 24.36°C，这在夜间是合理的。然而，仔细观察后续数据，数值呈现明显的非物理性线性增长趋势（例如从 2309 逐渐升至 2436），且在短时间内（如 03:40 到 04:50）数值急剧攀升至 2430+，随后几天类似模式重复出现。",
    "推理步骤 2: 对比同一时间段内的其他房间传感器数据（bedroom_temp_sensor 约 22.38°C - 22.94°C，kitchen_temp_sensor 约 23.32°C - 24.10°C）。卧室和厨房的温度变化相对平缓且符合人体居住环境的昼夜温差规律，而客厅温度却出现了异常的‘爬升’现象，最高达到 24.36°C（即 2436/100），这与空调开启或关闭后的热惯性不符，更像是传感器内部计数错误或校准丢失导致的数值漂移。",
    "推理步骤 3: 结合住户习惯，凌晨 03:14 检测到 occupancy=1（有人进入），随后温度读数继续异常升高。如果这是真实的高温环境，通常会触发空调制冷或导致人员不适离开，但日志显示人员短暂停留后离开，且第二天同一时间点的温度依然遵循类似的异常上升趋势。这种跨天重复的、不符合热力学规律的数值增长，强烈指向 sensor_drift（传感器漂移/故障），而非真实的环境温度变化。"
  ],
  "key_evidence": [
    "living_room_temp_sensor 在凌晨时段（01:40 - 04:50）数值从 2309 持续单调递增至 2436，呈现非自然的线性增长特征。",
    "同期 bedroom_temp_sensor 和 kitchen_temp_sensor 读数稳定在 22-24 区间内，未出现同等幅度的异常飙升，排除了全屋普遍高温的可能性。",
    "该异常模式在连续三天（07-10, 07-11, 07-12）的相同时间段重复出现，表明是设备本身的系统性问题而非偶然事件。"
  ],
  "recommended_actions": [
    "立即检查并重置客厅温度传感器（living_room_temp_sensor），尝试重新校准或更换电池。",
    "若重置无效，建议联系技术支持更换该传感器硬件，以防因误报高温导致不必要的空调能耗或错过真实的火灾预警信号。",
    "在维修期间，可暂时依赖卧室或厨房的温度传感器作为客厅温度的参考依据。"
  ]
}
```


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: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 44

## 跨天活动摘要
- 2026-07-29: entrance=233, bedroom=241, kitchen=240, living_room=210, bathroom=59

## 设备事件日志
[2026-07-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-29T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-29T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-29T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T06:58:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-29T06:58:05] front_door_lock | DoorLock.LockState = 2
[2026-07-29T06:58:07] front_door_contact | BooleanState.StateValue = False
[2026-07-29T06:58:07] front_door_contact | BooleanState.StateValue = True
[2026-07-29T06:58:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-29T06:58:08] front_door_lock | DoorLock.LockState = 1
[2026-07-29T08:31:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-29T08:31:00] front_door_lock | DoorLock.LockState = 2
[2026-07-29T08:31:02] front_door_contact | BooleanState.StateValue = False
[2026-07-29T09:46:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T12:36:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T15:25:14] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T18:15:14] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T20:42:15] front_door_contact | BooleanState.StateValue = True
[2026-07-29T20:42:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-29T20:42:16] front_door_lock | DoorLock.LockState = 1
[2026-07-29T21:02:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T23:52:00] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
监控系统标记了潜在异常。请分析下面的日志，判断是否需要采取响应措施，并给出建议。

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": "日志显示独居老人正常的夜间外出、清晨离家及晚间归家活动模式，未发现入侵或异常行为。",
  "reasoning": [
    "推理步骤 1: 分析夜间时段 (02:11)，门锁解锁 (LockState=1) 伴随门接触传感器变 False (开门)，随后玄关灯开启，紧接着客厅运动传感器在 2 分钟后检测到有人 (Occupancy=1)。这一序列符合住户起床上厕所或短暂离开卧室后进入客厅的合理行为，且后续在 02:30 所有房间 occupancy 均恢复为 0，表明人员已离开该区域或处于静止状态，无滞留迹象。",
    "推理步骤 2: 分析清晨时段 (06:58 - 08:31)，门锁先被手动操作解锁并开门 (Contact=False)，随后立即重新上锁 (LockState=2)。这是典型的住户出门离家的标准操作流程，时间间隔短，逻辑连贯。",
    "推理步骤 3: 分析晚间时段 (20:42)，门接触传感器先变为 True (关门)，随后门锁被手动上锁 (LockState=2)。这符合住户回家进门并锁门的正常习惯。整个 24 小时周期内的设备状态变化与独居老人的作息规律高度一致，未检测到尾随、强行闯入或设备故障等异常特征。"
  ],
  "key_evidence": [
    "02:11 门锁解锁后立即有人员进入客厅，且 30 分钟后全屋无人，符合夜间如厕或短暂活动模式。",
    "06:58 和 08:31 的门锁操作呈现清晰的‘解锁->开门->再上锁’序列，符合离家行为。",
    "20:42 的门关闭与上锁操作顺序正确，符合归家行为。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持对独居老人夜间活动的监控，若未来出现长时间（如超过 2 小时）的夜间 occupancy 持续为 0 但门窗频繁开合的情况，需触发健康关怀提醒。"
  ]
}
```


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 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]
- 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 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 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]

## 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: 52

## 设备事件日志
[2026-08-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-06T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-06T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-08-06T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-08-06T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-06T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-06T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-06T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-06T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-06T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-06T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-06T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-06T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-06T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-06T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-06T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-06T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-06T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-06T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-06T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-06T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-06T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-06T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T03:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-06T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-06T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-06T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-08-06T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-06T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-06T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-06T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-06T09:49:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T12:39:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:28:13] 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": 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: 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
[2026-07-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-20T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-20T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-20T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T07:30:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-20T07:30:21] front_door_lock | DoorLock.LockState = 2
[2026-07-20T07:30:23] front_door_contact | BooleanState.StateValue = False
[2026-07-20T07:30:27] front_door_contact | BooleanState.StateValue = True
[2026-07-20T07:30:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)

## 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与清晨入户行为模式，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 分析夜间时段 (02:00-03:00)，所有房间（包括客厅、卧室、卫生间）的运动传感器均报告无人员活动 (Occupancy=0)，且入户门锁在 02:11 处于锁定状态 (LockState=2)，随后门接触传感器短暂断开 (False) 后迅速恢复闭合逻辑或仅为误触/测试，紧接着玄关灯亮起 (True)，这符合住户起夜或短暂查看门口后离开/锁门的正常行为，且后续长时间无人活动表明已安全离境。",
    "推理步骤 2: 分析清晨时段 (07:30)，入户门锁先执行手动解锁操作 (LockOperationType=1)，随后门被打开 (Contact=False)，紧接着玄关灯自动开启 (OnOff=True)，这是典型的智能联动场景：开门即亮灯。",
    "推理步骤 3: 确认人员进入，门接触传感器在几秒内恢复闭合状态 (True)，表示住户进门并关门；同时，客厅运动传感器在 02:13 曾短暂检测到有人 (Occupancy=1)，结合时间线看，这可能是住户在 02:11 左右进行了一次短暂的室内活动（如去厨房拿东西或检查），随后离开，整体行为符合单人居住的正常作息规律，无尾随、强行闯入或设备故障迹象。"
  ],
  "key_evidence": [
    "02:11 门锁锁定且之后长时间全屋无人，符合夜间离家特征。",
    "07:30 门锁解锁 -> 门开 -> 灯亮 -> 门关的完整序列符合正常入户流程。",
    "02:13 客厅短暂有人活动后立即消失，未伴随异常停留或门窗持续开启。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议定期查看历史日志以确认此类夜间短暂活动的频率是否符合住户习惯。"
  ]
}
```


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
- 2026-07-13: entrance=235, master_bedroom=232, living_room=116, second_bedroom=48, bathroom=48, kitchen=11

## 设备事件日志
[2026-07-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-13T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-13T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-13T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T07:12:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-13T07:12:20] front_door_lock | DoorLock.LockState = 2

## 任务
监控系统标记了潜在异常。请分析下面的日志，判断是否需要采取响应措施，并给出建议。

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 门锁解锁 (LockState=2) 且门接触传感器状态为 False (开启)，随后玄关灯亮起，这是典型的住户夜间起床如厕或短暂外出后返回/离开的正常行为序列。",
    "推理步骤 2: 凌晨 02:13 客厅运动传感器检测到有人 (Occupancy=1)，紧接着在 02:30 恢复无人状态，表明该人员仅短暂经过客厅区域，符合夜间活动特征。",
    "推理步骤 3: 次日早上 07:12 门锁执行手动上锁操作 (LockOperationType=1)，标志着住户完成早晨出门流程并确认门户安全，整个时间线逻辑连贯，符合两室一厅家庭的常规作息。"
  ],
  "key_evidence": [
    "02:11 门锁解锁与门开状态同步发生，随后灯光自动开启。",
    "02:13 至 02:30 之间仅有短暂的客厅 occupancy 信号，无长时间滞留或异常移动轨迹。",
    "07:12 出现明确的手动上锁事件，确认了白天的安全闭环。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议保持当前监控策略，继续记录此类跨天活动摘要以优化行为基线模型。"
  ]
}
```


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
[2026-07-17T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-17T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-17T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-17T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:21:30] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-17T07:21:30] front_door_lock | DoorLock.LockState = 2
[2026-07-17T07:21:32] front_door_contact | BooleanState.StateValue = False
[2026-07-17T07:21:39] front_door_contact | BooleanState.StateValue = True
[2026-07-17T07:21:40] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)

## 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与清晨入户行为模式，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 分析时间线，02:11 门锁解锁且门传感器状态为 False（开门），随后玄关灯开启，符合住户夜间起床或短暂外出后返回/离开的逻辑；紧接着 02:30 客厅和入口传感器均报告无人 (Occupancy=0)，表明该次活动已结束且人员已离开关键区域。",
    "推理步骤 2: 检查 07:21 的事件序列，门锁被手动操作并锁定 (LockState=2)，随后门传感器短暂变为 False 后立即恢复为 True，这完全符合住户早晨出门锁门的正常物理过程。",
    "推理步骤 3: 综合所有传感器数据，没有发现门窗异常开启未关闭、非授权时段有人闯入、设备卡死或逻辑冲突（如门开着但锁着）等异常情况，整体行为符合两室一厅家庭的标准作息习惯。"
  ],
  "key_evidence": [
    "02:11-02:30 期间：门锁解锁 -> 开门 -> 开灯 -> 随后全员无人在场，逻辑连贯。",
    "07:21 期间：手动上锁 -> 门微开即关 -> 最终锁定，符合正常出门流程。",
    "全时段内：所有运动传感器在预期时间段外均保持 '0' (无人) 状态，无异常入侵迹象。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续监控后续日志以确认全天无其他异常波动。"
  ]
}
```


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: 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: 43

## 设备事件日志
[2026-08-01T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-01T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-01T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-08-01T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-01T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-01T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-01T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-01T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-01T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-01T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-01T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-01T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-01T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-01T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-01T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-01T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-01T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-01T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-01T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-01T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-01T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-01T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-01T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-01T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-01T10:59:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T13:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T16:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T18:44:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T21:19:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T23:54:00] 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": "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": "low",
  "threat_type": "fire_risk",
  "threat_description": "存在异常，但原因更可能属于其他类别。",
  "reasoning": [
    "推理步骤1: 日志里有异常，但我把它归因为另一类威胁。"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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: 47

## 设备事件日志
[2026-08-15T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-15T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-08-15T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-15T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-15T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-15T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-15T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-15T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[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
[2026-08-15T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-15T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-15T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-15T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-15T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[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
[2026-08-15T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-15T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-15T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-15T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-15T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[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 = 2355
[2026-08-15T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-15T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-15T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-15T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[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 = 2382
[2026-08-15T10:47:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T13:22:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T15:57:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T18:32:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T21:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T23:42:00] 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。

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "凌晨2:30左右，客厅窗户传感器显示关闭（False），随后立即检测到人员活动，且此时段通常应为无人状态，存在非法入侵或门窗未关导致的安全风险。",
  "reasoning": [
    "1. 时间异常：事件发生在凌晨02:30-02:35之间，根据日志中00:00至02:30期间所有房间 occupancy 均为 0 的情况判断，此时住户应处于睡眠状态，家中无人。",
    "2. 物理状态变化：在02:31和02:32，客厅和卧室的窗户传感器状态变为 False（通常表示关闭/闭合）。如果窗户之前是打开的，这可能意味着有人从外部进入后关闭了窗户以隐藏踪迹；或者窗户一直关闭，但结合后续的人员出现，需警惕非正常开启后的关闭行为。",
    "3. 人员活动触发：紧接着在02:34，客厅运动传感器检测到 Occupancy = 1。在深夜无人时段，窗户状态变更与人员出现的紧密时间关联（3分钟内）强烈暗示有主体进入了客厅区域。",
    "4. 排除误报：虽然温度传感器读数波动较大（可能是设备故障或环境剧烈变化），但运动传感器的触发是主要的人体存在证据。考虑到这是深夜且无其他合理理由（如宠物、自动开关窗逻辑未在日志中体现为主动指令），这符合入侵特征。"
  ],
  "key_evidence": [
    "[2026-08-15T02:31:00] living_room_window_contact | BooleanState.StateValue = False",
    "[2026-08-15T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "此前长时间（00:00-02:30）所有房间 occupancy 均为 0，表明住户正在睡觉。"
  ],
  "recommended_actions": [
    "立即检查入户门锁及所有窗户的物理状态，确认是否有强行闯入痕迹。",
    "查看是否有智能摄像头记录到该时间段的活动，并核实是否为住户本人晚归或误操作。",
    "若确认为陌生人入侵，请立即报警并联系物业安保。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "low",
  "threat_type": "fire_risk",
  "threat_description": "存在异常，但原因更可能属于其他类别。",
  "reasoning": [
    "推理步骤1: 日志里有异常，但我把它归因为另一类威胁。"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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: 137

## 跨天活动摘要
- 2026-08-10: living_room=117, kids_room=233, master_bedroom=232, entrance=228, dining_room=219, master_bathroom=53
- 2026-08-11: living_room=113, master_bedroom=230, kids_room=230, entrance=228, dining_room=223, master_bathroom=54
- 2026-08-12: living_room=114, master_bedroom=230, kids_room=230, entrance=227, dining_room=222, master_bathroom=57

## 设备事件日志
[2026-08-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-10T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-10T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-10T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-10T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-10T02:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-10T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-10T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-10T02:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-10T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-10T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-10T02:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-10T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-10T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-10T03:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-10T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-10T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-10T03:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-10T03:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-10T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-10T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-10T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-10T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-10T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-08-10T03:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-08-10T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-10T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-08-10T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-08-10T04:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-10T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2421
[2026-08-10T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2432
[2026-08-10T07:34:05] kitchen_light | OnOff.OnOff = False
[2026-08-10T23:35:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-11T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-11T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-11T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-11T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-11T02:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-11T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-11T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-11T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-11T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-11T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-11T02:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-11T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-11T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-11T03:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-11T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-11T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-11T03:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-11T03:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-11T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-11T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-11T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-08-11T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-08-11T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-11T03:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-08-11T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-08-11T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-11T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-08-11T04:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-08-11T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-08-11T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2416
[2026-08-11T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2424
[2026-08-11T07:32:08] kitchen_light | OnOff.OnOff = False
[2026-08-11T23:35:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-12T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-12T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-12T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-12T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-12T02:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-12T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-12T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-12T02:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-12T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-12T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-12T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-12T02:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-12T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-12T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-12T03:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-12T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-12T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-12T03:15:00] kitchen_light | OnOff.OnOff = True
[2026-08-12T03:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-12T03:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-12T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-12T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-12T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-12T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-12T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-12T03:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-12T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-08-12T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-08-12T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-12T04:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-08-12T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-08-12T04:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-08-12T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-08-12T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2423
[2026-08-12T07:10:05] 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 2300+ (应为 23.x)，且呈现异常线性增长趋势，表明传感器故障或数据漂移。",
  "reasoning": [
    "1. 数据合理性分析：日志中所有温度传感器的 MeasuredValue 均在 2309 至 2432 之间波动。在 Matter 协议及智能家居标准中，温度值通常以 0.1 度为单位（即 2350 代表 23.5°C）。当前数值若直接解读为摄氏度，则意味着室内温度高达 2300°C，这在家庭环境中是不可能的，甚至会导致火灾报警系统立即触发。",
    "2. 异常模式识别：从 02:00 到 04:45，多个房间（客厅、厨房、儿童房等）的温度读数呈现出明显的、非自然的线性上升趋势（例如客厅从 2321 升至 2432），这种持续升温且无对应热源（如长时间开启大功率电器）支撑的模式，不符合热力学规律。",
    "3. 设备行为关联：尽管存在如此离谱的‘高温’读数，但同一时间段内的 occupancy_sensor（运动传感器）和 contact_sensor（门窗传感器）均报告正常状态（无人活动或门窗关闭），且没有触发烟雾报警器或漏水报警器的记录。如果真发生了导致 2300°C 的高温事件，必然伴随其他安全设备的联动报警。这种‘单一传感器极端异常’与其他环境传感器正常工作的矛盾，确认为传感器数据漂移或固件 Bug。"
  ],
  "key_evidence": [
    "温度读数范围：2309 - 2432 (远超物理极限)",
    "时间序列趋势：连续数小时内温度呈线性单调递增，无回落迹象",
    "多房间同步异常：客厅、厨房、儿童房等多个不相关区域的传感器同时出现相同量级的异常读数"
  ],
  "recommended_actions": [
    "立即检查并重置所有受影响的温度传感器设备，尝试恢复出厂设置或重新配对。",
    "联系设备制造商获取固件更新，排查是否存在已知的传感器校准 Bug。",
    "在修复前，建议手动使用独立温度计监测关键区域实际温度，以防因传感器误报导致空调系统错误运行或用户忽视真实过热风险。"
  ]
}
```