System:
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。

Chosen response:
{
  "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。"
  ]
}

Rejected response:
{
  "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。"
  ]
}


System:
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。

Chosen response:
{
  "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。"
  ]
}

Rejected response:
```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。"
  ]
}
```


System:
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。

Chosen response:
{
  "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。"
  ]
}

Rejected response:
```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。"
  ]
}
```


System:
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。

Chosen response:
{
  "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。"
  ]
}

Rejected response:
```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。"
  ]
}
```


System:
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。

Chosen response:
{
  "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。"
  ]
}

Rejected response:
{
  "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。"
  ]
}


System:
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。

Chosen response:
```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。"
  ]
}
```

Rejected response:
{
  "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。"
  ]
}


System:
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。

Chosen response:
{
  "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。"
  ]
}

Rejected response:
```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。"
  ]
}
```


System:
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: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 135

## 跨天活动摘要
- 2026-08-20: living_room=210, bedroom=242, kitchen=239, entrance=231, bathroom=62
- 2026-08-21: living_room=210, bedroom=241, kitchen=239, entrance=229, bathroom=57
- 2026-08-22: living_room=210, bedroom=241, kitchen=239, entrance=230, bathroom=61

## 设备事件日志
[2026-08-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-20T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-20T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-20T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-20T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-20T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-20T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-20T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2236
[2026-08-20T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-20T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-20T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-20T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2245
[2026-08-20T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-20T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-20T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-20T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-20T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-20T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-20T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-20T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-08-20T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-20T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-20T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-20T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-20T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-20T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-08-20T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2292
[2026-08-20T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-08-20T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-20T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-20T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-20T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-20T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-08-20T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-20T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-08-20T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-08-20T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-08-20T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2419
[2026-08-20T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2424
[2026-08-20T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2427
[2026-08-20T11:03:00] kitchen_light | OnOff.OnOff = True
[2026-08-20T23:53:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-21T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-21T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-21T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-21T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-21T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-21T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2240
[2026-08-21T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2239
[2026-08-21T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-21T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-21T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2250
[2026-08-21T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-21T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-21T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-08-21T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-21T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-21T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-21T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-21T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-21T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-21T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-08-21T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-21T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-08-21T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-08-21T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T03:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283
[2026-08-21T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-21T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-08-21T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-08-21T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-08-21T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-08-21T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-08-21T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-08-21T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-08-21T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2413
[2026-08-21T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2425
[2026-08-21T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-08-21T11:04:00] kitchen_light | OnOff.OnOff = True
[2026-08-21T23:50:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-08-22T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-22T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-22T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-22T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-22T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-22T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-22T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2233
[2026-08-22T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2244
[2026-08-22T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-22T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-22T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-08-22T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-22T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-22T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-22T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-22T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-22T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-22T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-22T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-22T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-22T03:15:00] kitchen_light | OnOff.OnOff = True
[2026-08-22T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-08-22T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368

## 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。

Chosen response:
{
  "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。"
  ]
}

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "health_concern",
  "threat_description": "独居老人在凌晨时段出现长时间无活动且室温异常升高，疑似夜间突发疾病或跌倒后无法移动。",
  "reasoning": [
    "推理步骤 1: 分析 occupancy_sensor 数据发现，在 2026-08-20、21、22 的凌晨 03:30 至 04:30 期间，living_room_occupancy 状态从 1 变为 0，且在随后的近 1 小时内（直至日志结束或次日清晨）持续保持为 0，这与住户正常的起床活动时间窗（通常 05:00-07:00）严重不符，表明老人可能已失去行动能力或处于昏迷/睡眠过深状态。",
    "推理步骤 2: 结合 temperature_sensor 数据分析，在老人离开客厅传感器范围后，客厅温度并未因空调关闭而下降，反而呈现持续上升趋势（例如 08-20 从 23.9°C 升至 24.4°C）。对于独居老人而言，这种‘无人但室温持续攀升’的模式极不寻常，暗示老人可能因生病或跌倒被困在房间内，导致空调系统未被关闭或调节，或者房间密闭导致热量积聚。",
    "推理步骤 3: 对比三天日志，该模式具有高度重复性（均在凌晨 03:30 左右发生），排除了偶然因素。考虑到用户画像为‘独居老人’，这种规律性的夜间长时间静止伴随环境参数异常，是典型的潜在健康危机信号（如中风、心脏病发作后无法起身，或跌倒后无法呼救）。"
  ],
  "key_evidence": [
    "连续三天凌晨 03:30-04:30 期间 living_room_occupancy 持续为 0，远超正常睡眠时长且偏离预期起床时间。",
    "在 occupancy 为 0 的情况下，living_room_temp_sensor 读数在 1 小时内持续上升（约 0.5°C - 1.0°C），显示室内热环境恶化且无人干预。",
    "厨房灯光 (kitchen_light) 仅在上午 11:00 开启，进一步证实老人未在夜间进行正常的起夜或烹饪活动。"
  ],
  "recommended_actions": [
    "立即触发紧急警报并通知家属或社区紧急联系人。",
    "建议远程查看客厅摄像头画面（若隐私允许且已授权）以确认老人位置及状态。",
    "联系当地急救中心或安排上门探访服务，优先排查老人是否发生意外或突发疾病。",
    "检查智能家居系统的联动逻辑，考虑设置‘长时间无活动 + 温度异常’组合报警规则。"
  ]
}
```


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

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

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

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

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

## 设备事件日志
[2026-08-20T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-20T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-20T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-20T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T07:30:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-20T07:30:20] front_door_lock | DoorLock.LockState = 2
[2026-08-20T07:30:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-20T07:30:24] front_door_lock | DoorLock.LockState = 1
[2026-08-20T18:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-20T18:04:00] front_door_lock | DoorLock.LockState = 2
[2026-08-20T18:04:25] living_room_light_1 | OnOff.OnOff = True
[2026-08-20T21:55:00] living_room_light_1 | OnOff.OnOff = False

## 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。

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间无人状态及白天的常规出入和开灯行为，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 03:00 至 04:30 期间，所有房间（包括玄关、客厅、卧室、卫生间）的运动传感器均报告 Occupancy = 0，且入户门锁在 04:06-04:07 处于解锁状态（LockState=1），随后于 04:09 打开客厅灯。结合时间判断，这是住户离家后的正常夜间场景，门锁未上锁符合外出习惯，无入侵迹象。",
    "推理步骤 2: 07:30 记录到一次完整的开门（LockOperationType=1）和关门上锁（LockOperationType=0）操作，且操作源为 Manual，时间点在早晨通勤时段，属于正常的离家行为。",
    "推理步骤 3: 18:04 再次记录到开门和随后的关门上锁操作，紧接着在 18:04:25 打开了客厅灯。这一系列事件（回家 -> 开灯）的时间间隔极短（约 25 秒），完全符合住户回家的正常行为模式，不存在尾随或异常逗留的迹象。"
  ],
  "key_evidence": [
    "03:00-04:30 全屋无人员活动且门锁状态与离家逻辑一致",
    "07:30 和 18:04 的开门/关门操作均由手动触发且伴随合理的后续动作（如开灯）",
    "无任何非授权访问尝试、长时间非法滞留或设备故障报错"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续监控日常日志以建立更完善的用户行为基线。"
  ]
}
```


System:
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 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 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: balcony
- 重点设备: balcony_door_contact, balcony_light, living_room_occupancy
- 已选事件数: 23

## 设备事件日志
[2026-07-16T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-16T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-16T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T19:27:24] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T20:48:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:13:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T23:38:08] 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。

Chosen response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "阳台门深夜打开且室内无对应活动",
  "reasoning": [
    "推理步骤1: 深夜阳台门突然打开",
    "推理步骤2: 阳台灯随即被点亮",
    "推理步骤3: 随后出现客厅活动"
  ],
  "key_evidence": [
    "深夜阳台门突然打开",
    "阳台灯随即被点亮",
    "随后出现客厅活动"
  ],
  "recommended_actions": [
    "判定为高风险边界入侵，建议立即检查阳台出入口。"
  ]
}

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light_1
- 已选事件数: 20

## 设备事件日志
[2026-08-01T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-01T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-01T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-01T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T10:11:04] living_room_light_1 | OnOff.OnOff = True
[2026-08-01T23:04:00] living_room_light_1 | OnOff.OnOff = False
[2026-08-01T23:04:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-01T23:04:36] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间无人状态及次日清晨住户正常回家并开启灯光的行为，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 03:00 至 04:00 期间，所有房间（包括玄关、客厅、卧室等）的运动传感器均报告 Occupancy = 0，且入户门锁处于锁定状态（LockState=2），符合家庭夜间睡眠或离家的正常场景。",
    "推理步骤 2: 04:06 至 04:07 的锁状态变化（从 2 变为 1）发生在凌晨，结合随后 04:09 客厅灯开启，极可能是住户提前起床或误触解锁后重新上锁，但考虑到后续长时间无活动，更可能是系统初始化或短暂测试，未伴随入侵迹象。",
    "推理步骤 3: 10:11 客厅灯开启，23:04 灯关闭，23:04:36 记录到手动解锁操作（OperationSource=Manual）。这一序列完全符合住户晚上回家开门、进入室内关灯的正常生活模式，时间点和行为逻辑连贯，无异常特征。"
  ],
  "key_evidence": [
    "全时段运动传感器持续报告无人状态（Occupancy=0）直至晚间。",
    "晚间 23:04 的解锁操作紧随灯光关闭之后，且来源为 Manual，符合正常回家流程。",
    "无任何门窗非法开启、烟雾报警或漏水等危险信号。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议用户确认 04:06 的锁状态变化是否为预期行为，若非本人操作可检查门锁电池或固件。"
  ]
}
```


System:
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 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 living_room: 客厅主灯[dimmable_light], 客厅副灯[dimmable_light], 客厅氛围灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘1[window_covering], 客厅窗户传感器1[contact_sensor], ... 共10个设备
- 房间 master_bathroom: 主卫灯[onoff_light], 主卫运动传感器[occupancy_sensor], 主卫漏水传感器[water_leak_detector]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧床头灯[onoff_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bathroom: 次卫灯[onoff_light], 次卫漏水传感器[water_leak_detector]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧空调[air_conditioner], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_light, living_room_occupancy
- 已选事件数: 105

## 跨天活动摘要
- 2026-07-05: balcony=2, living_room=49, dining_room=48, master_bedroom=48, second_bedroom=48, kids_room=48

## 设备事件日志
[2026-07-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-07-05T01:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-07-05T01:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-07-05T01:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-07-05T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-07-05T01:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-05T01:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-05T01:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-07-05T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-07-05T01:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-07-05T01:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-07-05T01:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-07-05T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T01:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T01:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T01:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-05T01:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-05T01:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-07-05T01:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-05T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-05T01:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-05T01:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-05T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-05T01:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-05T01:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-05T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-07-05T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-05T01:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-05T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-05T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-05T01:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-05T01:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-05T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-05T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-05T02:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-05T02:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-05T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-05T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-05T02:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-05T02:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-05T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-05T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-05T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-05T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-05T02:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-05T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-05T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-05T02:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-05T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-05T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-05T02:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-05T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-05T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-05T02:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-05T02:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-05T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-05T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-05T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-05T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-05T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-05T02:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-05T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-05T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-05T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-05T02:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-05T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-05T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-05T02:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-05T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-05T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-05T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-05T02:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-05T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-05T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-05T02:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-05T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-05T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T11:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T19:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T23:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "凌晨2:07阳台门被打开，随后玄关灯亮起且客厅有人活动，存在非法入侵或异常进入的高风险。",
  "reasoning": [
    "1. 时间异常：事件发生在凌晨02:07至02:10之间，属于典型的深夜/凌晨时段，此时住户通常处于睡眠状态，非正常活动时间。",
    "2. 物理入口开启：日志显示 `balcony_door_contact` 在 02:07 变为 False（即门被打开）。虽然阳台门可能用于通风，但在深夜结合后续行为需警惕。",
    "3. 伴随行为链：阳台门打开后仅1秒（02:08），`balcony_light` 被点亮。紧接着在 02:09，`living_room_occupancy` 变为 1（检测到有人）。这表明有人在夜间通过阳台进入室内并开启了照明，随后进入了客厅区域。",
    "4. 排除误报：虽然部分传感器数据（如温度值）看起来数值较大（可能是原始单位未转换或特定协议格式），但运动传感器和接触传感器的状态变化逻辑清晰。深夜无预警的开门+开灯+人员移动组合，极大概率指向入侵而非正常的夜间起夜（通常不会先开阳台灯再进客厅，且阳台门开启是首要触发点）。"
  ],
  "key_evidence": [
    "[2026-07-05T02:07:00] balcony_door_contact | BooleanState.StateValue = False (阳台门在深夜被打开)",
    "[2026-07-05T02:08:00] balcony_light | OnOff.OnOff = True (阳台灯随即亮起)",
    "[2026-07-05T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1 (客厅检测到人员活动)"
  ],
  "recommended_actions": [
    "立即检查家中是否有财物丢失或门窗损坏情况。",
    "查看入户门锁及阳台门的物理锁具是否完好，确认是否为住户本人操作（如忘记关窗睡觉等，但概率极低）。",
    "建议加强安防设置，例如配置‘深夜非法入侵’报警规则，当凌晨时段阳台门或窗户传感器触发时，立即推送高优先级警报至手机。",
    "检查摄像头录像（如有），确认该时间段阳台及客厅的画面。"
  ]
}
```

Rejected response:
{
  "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": [
    "深夜阳台门突然打开"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}