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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 44

## 跨天活动摘要
- 2026-08-16: entrance=234, bedroom=242, kitchen=239, living_room=209, bathroom=58

## 设备事件日志
[2026-08-16T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T01:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T01:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-08-16T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-08-16T02:12:00] entrance_light | OnOff.OnOff = True
[2026-08-16T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T06:55:04] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-16T06:55:04] front_door_lock | DoorLock.LockState = 2
[2026-08-16T06:55:06] front_door_contact | BooleanState.StateValue = False
[2026-08-16T06:55:13] front_door_contact | BooleanState.StateValue = True
[2026-08-16T06:55:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-16T06:55:14] front_door_lock | DoorLock.LockState = 1
[2026-08-16T08:38:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-16T08:38:00] front_door_lock | DoorLock.LockState = 2
[2026-08-16T08:38:02] front_door_contact | BooleanState.StateValue = False
[2026-08-16T09:53:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T12:43:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T15:30:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T18:20:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T20:37:20] front_door_contact | BooleanState.StateValue = True
[2026-08-16T20:37:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-16T20:37:21] front_door_lock | DoorLock.LockState = 1
[2026-08-16T21:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T23:54:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人正常的夜间外出（凌晨 2:11）及白天规律活动，门锁操作与人员进出逻辑一致，未发现入侵或异常行为。",
  "reasoning": [
    "推理步骤 1: 分析凌晨 02:11 的事件序列：门锁先解锁 (LockState=2)，随后门接触传感器变 False (开门)，紧接着玄关灯开启，最后客厅运动传感器在 3 分钟后检测到有人 (Occupancy=1)。这一系列事件符合住户起床上厕所或短暂离开房间后返回的常规模式，且后续在 02:30 所有区域 occupancy 归零，表明住户已离开该时段关注的公共区域或进入睡眠状态，逻辑自洽。",
    "推理步骤 2: 检查白天的活动模式：06:55 和 08:38 分别记录了手动解锁、开门、关门并重新上锁的操作，时间间隔合理，符合起床出门上班/活动的习惯。20:37 记录了一次正常的回家过程（开门 -> 上锁），随后在 21:09 检测到客厅有人，符合晚间回家的作息。",
    "推理步骤 3: 综合评估跨天摘要与设备状态：全天各房间 occupancy 计数分布均匀，无长时间无人但门窗开着的异常情况，也无传感器数据冲突（如门开着但锁是锁上的）。对于独居老人而言，这种规律的夜间短暂外出和白天的正常往返属于健康的行为模式，而非异常。"
  ],
  "key_evidence": [
    "02:11 门锁解锁后立即开门，随后玄关灯亮起，3 分钟后客厅检测到人员，符合夜间起夜或短暂离开的特征。",
    "02:30 所有房间 occupancy 同时归零，表明人员已完全离开监控区域或进入深度睡眠/休息状态。",
    "白天 06:55-08:38 及晚上 20:37 的门锁操作均遵循“解锁 - 开门 - 关门 - 上锁”的标准安全流程，且与 occupancy 检测到的活动时间吻合。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持对独居老人的日常活动模式监控，关注其夜间外出频率是否发生突变。"
  ]
}
```


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: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 103

## 跨天活动摘要
- 2026-07-11: living_room=212, bedroom=243, kitchen=239, entrance=231, bathroom=60

## 设备事件日志
[2026-07-11T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-07-11T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-07-11T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T01:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2289
[2026-07-11T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2295
[2026-07-11T01:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-11T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-11T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-11T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-11T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-11T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-11T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-11T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2222
[2026-07-11T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-11T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-11T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2219
[2026-07-11T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-11T01:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2217
[2026-07-11T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-11T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-11T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2223
[2026-07-11T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-11T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2225
[2026-07-11T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-11T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-11T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2232
[2026-07-11T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-11T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-11T02:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2244
[2026-07-11T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-11T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-11T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2235
[2026-07-11T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-11T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2239
[2026-07-11T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-11T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-11T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2243
[2026-07-11T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-11T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-11T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-11T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-11T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-07-11T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-11T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-11T02:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2250
[2026-07-11T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-11T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-11T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-07-11T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-11T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-11T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-07-11T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-11T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-07-11T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-11T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-11T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-07-11T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-11T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T03:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-11T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-07-11T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-11T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-11T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-07-11T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-11T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-11T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2280
[2026-07-11T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-11T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-11T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-07-11T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-11T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-11T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-11T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-11T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-11T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-11T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-11T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-07-11T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-07-11T09:48:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T12:38:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T15:23:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T18:13:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T21:00:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T23:50:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "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。"
  ]
}

```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内温度异常升高，存在健康风险或意外滞留的可能性。",
  "reasoning": [
    "推理步骤 1: 时间窗口分析。日志显示在 2026-07-11T00:00:00 至 2026-07-11T09:48:02 之间，客厅 (living_room) 和卧室 (bedroom) 的运动传感器持续报告无人状态 (Occupancy=0)，长达近 10 小时。对于独居老人而言，整夜无活动属于高风险的'异常不活跃'模式。",
    "推理步骤 2: 环境数据关联。在此期间，客厅温度传感器读数从约 23°C (2299mK) 持续上升至超过 24°C (2411mK)。虽然空调可能开启，但结合无人状态，这种升温可能是由于缺乏人员调节（如忘记关窗、忘记开空调或空调故障），或者是为了掩盖某种情况（如火灾初期烟雾导致传感器误报或真实升温）。",
    "推理步骤 3: 关键事件触发。在 T02:31:00 和 T02:32:00，客厅和卧室的窗户接触传感器状态变为 False (打开)。此时屋内无人，窗户被打开可能导致热量流失或进入，但也可能是有人试图通风后离开，或者更危险的是，有人在夜间开窗透气后未返回，增加了老人独自暴露在极端天气或发生意外的风险。随后直到早上 09:48 才检测到有人活动，中间间隔过长。",
    "推理步骤 4: 综合判断。独居老人 + 整夜无活动 + 窗户异常开启 + 温度变化，高度疑似老人夜间突发疾病昏迷、跌倒无法移动，或是发生了其他意外导致无法进行正常活动。这不仅仅是简单的'不在家'，而是需要紧急干预的'健康关注'信号。"
  ],
  "key_evidence": [
    "2026-07-11T00:00:00 至 2026-07-11T09:48:02 期间，living_room_occupancy 和 bedroom_occupancy 持续为 0，持续时间超过 9.5 小时。",
    "同一时间段内，living_room_window_contact 在 T02:31:00 变为 False (打开)，而屋内无人。",
    "living_room_temp_sensor 读数在无人期间呈现非正常的持续上升趋势 (2299 -> 2411 mK)。",
    "直到次日早晨 09:48:02 才首次检测到 occupancy=1，表明老人可能在夜间长时间处于静止或无法行动的状态。"
  ],
  "recommended_actions": [
    "立即联系家属或紧急联系人确认老人状况。",
    "若无法联系到家属，建议启动紧急预案，派遣社区工作人员或安保人员上门查看。",
    "检查家中空调及温控系统是否正常工作，排除因设备故障导致的过热风险。",
    "回顾并优化夜间安全策略，例如设置更短的时间阈值来触发报警，或增加夜间巡逻频率。"
  ]
}
```


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: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_light, living_room_occupancy
- 已选事件数: 97

## 跨天活动摘要
- 2026-08-15: balcony=2, living_room=196, bathroom=54, entrance=51, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-08-15T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-15T01:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-15T01:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-15T01:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-08-15T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-08-15T01:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-15T01:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-08-15T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-15T01:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-15T01:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-15T01:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-08-15T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-15T01:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-15T01:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-08-15T01:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-15T01:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-15T01:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-15T01:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-15T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-15T01:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-15T01:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-15T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-15T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-15T01:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-15T01:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-15T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-15T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-15T02:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-15T02:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-15T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-15T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-15T02:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-15T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-15T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-15T02:08:00] balcony_light | OnOff.OnOff = True
[2026-08-15T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-15T02:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-15T02:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-15T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-15T02:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-15T02:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-15T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-15T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-15T02:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-15T02:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-15T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-15T02:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-15T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-15T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-15T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-15T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-15T02:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-15T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-15T02:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-15T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-15T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-15T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-15T02:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-15T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-15T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-15T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-15T02:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-15T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-15T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-15T02:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-15T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-15T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-15T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-15T02:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-15T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-15T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T10:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T13:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T15:51:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T18:26:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T21:01:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T23:36:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "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。"
  ]
}

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


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 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
[2026-08-23T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-23T02:08:00] balcony_light | OnOff.OnOff = True
[2026-08-23T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T10:45:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T13:20:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T15:55:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T18:30:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T21:05:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T23:40:00] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "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。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间起床活动模式，无安全威胁迹象。",
  "reasoning": [
    "推理步骤 1: 凌晨 02:07 阳台门传感器状态变为 False（打开），随后 02:08 阳台灯开启，这是典型的住户起夜去阳台查看或取物的行为序列。",
    "推理步骤 2: 紧接着在 02:09 客厅运动传感器检测到有人（Occupancy=1），且该人员随后在 02:30 离开（Occupancy=0），时间间隔极短（约 2 分钟），符合短暂活动的特征，而非入侵者长时间潜伏。",
    "推理步骤 3: 后续白天及晚上的日志显示客厅多次有人活动，且所有房间其他传感器（如卧室、卫生间）均保持无人状态，整体行为模式与家庭日常作息一致，未发现尾随、非法闯入或设备故障等异常。"
  ],
  "key_evidence": [
    "02:07 阳台门打开后立即伴随灯光开启和客厅有人检测",
    "02:09 检测到人员后仅 21 秒内即恢复无人状态",
    "全时段其他关键区域（卧室、厨房等）无异常联动事件"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "可继续监控后续日志以确认该时间段为常规夜间活动。"
  ]
}
```


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

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

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

## 家庭环境信息
家庭布局: 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: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 37

## 跨天活动摘要
- 2026-08-12: entrance=231, master_bedroom=228, living_room=112, second_bedroom=48, bathroom=48, kitchen=12

## 设备事件日志
[2026-08-12T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T06:55:04] kitchen_light | OnOff.OnOff = True
[2026-08-12T07:21:02] kitchen_light | OnOff.OnOff = False
[2026-08-12T07:21:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-12T07:21:21] front_door_lock | DoorLock.LockState = 2
[2026-08-12T07:21:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-12T07:21:30] front_door_lock | DoorLock.LockState = 1
[2026-08-12T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T15:59:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-12T15:59:00] front_door_lock | DoorLock.LockState = 2
[2026-08-12T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-12T18:12:00] front_door_lock | DoorLock.LockState = 2
[2026-08-12T18:40:00] kitchen_light | OnOff.OnOff = True
[2026-08-12T19:22:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:47:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T21:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T21:52:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T22:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T22:12:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T22:29:17] front_door_contact | BooleanState.StateValue = True
[2026-08-12T22:29:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-12T22:29:18] front_door_lock | DoorLock.LockState = 1
[2026-08-12T22:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T22:32:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T22:34:09] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T22:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T22:52:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T22:54:09] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T23:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T23:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T23:12:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T23:14:09] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-08-12T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T23:25:00] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的家庭出入活动模式，未发现入侵、尾随或其他安全威胁迹象。",
  "reasoning": [
    "推理步骤 1: 分析门锁操作序列。日志中显示的锁操作（LockOperationType=1 上锁，0 解锁）均发生在合理的时间窗口内：早晨 07:21 出门上锁，下午 15:59 和 18:12 回家/外出切换状态，晚上 22:29 开门进入并随后上锁。这些时间点和操作顺序符合典型的居民日常作息。",
    "推理步骤 2: 检查门传感器与占用传感器的相关性。在 22:29:17 门接触传感器触发（True，表示门被打开），紧接着在 22:29:18 执行了解锁操作，随后玄关和客厅的占用传感器在几分钟内陆续变为活跃（Occupancy=1）。这种‘开门->解锁->人员进入’的时序逻辑严密，排除了无人闯入的可能性。",
    "推理步骤 3: 验证夜间活动合理性。晚间 22:00 至 23:30 期间，多个房间（玄关、客厅、主卧）的占用传感器持续或间歇性报告有人（Occupancy=1），且厨房灯在 23:25 开启，表明住户仍在室内正常活动，不存在长时间无人看管或异常滞留的情况。",
    "推理步骤 4: 综合评估。所有设备状态变化（灯光开关、温度、占用检测）均与门锁事件和人类行为逻辑一致，没有检测到传感器故障、设备卡死或违背常理的行为模式。"
  ],
  "key_evidence": [
    "门锁操作时间与进出逻辑一致：开门后立即解锁，关门后手动上锁。",
    "门开事件（22:29:17）与人员进入事件（22:32:03 玄关占用=1）之间存在合理的物理延迟，且后续有明确的室内活动记录。",
    "夜间时段（22:00-23:30）多房间占用传感器持续活跃，证明住户在室内正常生活。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续监控，保持当前告警阈值设置即可。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 98

## 跨天活动摘要
- 2026-07-19: living_room=195, bedroom=211, bathroom=51, kitchen=14, entrance=3

## 设备事件日志
[2026-07-19T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2290
[2026-07-19T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-07-19T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T01:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-07-19T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2292
[2026-07-19T01:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-19T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-07-19T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-19T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-19T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-19T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-07-19T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-19T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2219
[2026-07-19T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-19T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-19T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2214
[2026-07-19T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-19T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-19T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-19T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-19T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2235
[2026-07-19T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-19T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-19T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2232
[2026-07-19T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-19T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-19T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2228
[2026-07-19T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-19T02:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2244
[2026-07-19T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-19T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-19T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2229
[2026-07-19T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-19T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-19T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2243
[2026-07-19T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-19T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-19T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-07-19T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-19T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-19T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-19T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-19T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-19T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-07-19T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-19T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-19T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-19T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-19T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-07-19T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-19T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-19T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-07-19T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-19T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-07-19T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-19T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-19T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-07-19T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-19T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-19T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-07-19T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-19T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-07-19T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-19T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-19T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-07-19T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-19T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-19T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-07-19T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-19T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-19T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-19T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-19T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-19T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-19T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-19T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-07-19T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-07-19T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-07-19T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-07-19T10:54:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-19T13:29:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-19T16:04:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-19T18:39:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-19T21:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-19T23:49:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

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


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

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

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

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

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

## 跨天活动摘要
- 2026-07-16: entrance=230, kids_room=233, master_bedroom=229, dining_room=218, living_room=111, master_bathroom=58

## 设备事件日志
[2026-07-16T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T07:04:09] kitchen_light | OnOff.OnOff = True
[2026-07-16T07:36:04] kitchen_light | OnOff.OnOff = False
[2026-07-16T07:36:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-16T07:36:23] front_door_lock | DoorLock.LockState = 2
[2026-07-16T07:36:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-16T07:36:26] front_door_lock | DoorLock.LockState = 1
[2026-07-16T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T16:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-16T16:08:00] front_door_lock | DoorLock.LockState = 2
[2026-07-16T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T18:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-16T18:19:00] front_door_lock | DoorLock.LockState = 2
[2026-07-16T18:34:00] kitchen_light | OnOff.OnOff = True
[2026-07-16T19:29:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T20:54:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T21:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T21:49:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:09:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:26:17] front_door_contact | BooleanState.StateValue = True
[2026-07-16T22:26:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-16T22:26:18] front_door_lock | DoorLock.LockState = 1
[2026-07-16T22:29:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:29:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:33:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:35:08] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T22:36:10] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:37:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:49:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:53:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:56:10] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:57:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-16T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T23:25:00] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的家庭晚间活动模式，包括入户、厨房使用及家庭成员在客厅和儿童房的正常移动，未发现入侵或异常行为迹象。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，2026-07-16 的 07:36 至 18:19 期间，门锁状态变化（LockState=2 锁上）与厨房灯光开启/关闭的时间点高度吻合，符合典型的早晨离家准备和傍晚回家后的日常作息。",
    "推理步骤 2: 22:26 的门接触传感器触发（True）随后立即伴随手动解锁操作（LockOperationType=0），紧接着是玄关和客厅运动传感器的激活，这表明有人正常开门进入家中，而非非法闯入（非法闯入通常不会立即触发合法的解锁序列）。",
    "推理步骤 3: 后续日志中，多个房间（客厅、儿童房、主卧、餐厅）的运动传感器在短时间内连续被触发，且人员分布合理（如先回客厅，再去儿童房，最后去主卧），这完全符合一家人晚饭后团聚并各自活动的正常行为模式，不存在尾随、长时间滞留或异常徘徊的迹象。"
  ],
  "key_evidence": [
    "22:26:17 门接触传感器触发后，系统记录到合法的手动解锁操作 (LockOperationType=0) 和门锁状态变更 (LockState=1)。",
    "22:29:03 至 22:57:04 期间，客厅、儿童房、主卧、餐厅等多个内部房间的运动传感器按逻辑顺序依次被激活，表明人员正常在室内移动。",
    "整个监控时段内，所有设备状态变化均能由合理的住户行为解释，无未授权访问特征。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，当前系统运行正常。",
    "建议继续保持常规监控，关注未来是否有类似模式的偏离。"
  ]
}
```


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: 133

## 跨天活动摘要
- 2026-08-09: living_room=209, bedroom=242, kitchen=238, entrance=229, bathroom=65
- 2026-08-10: living_room=210, bedroom=241, kitchen=239, entrance=231, bathroom=60
- 2026-08-11: living_room=210, bedroom=240, kitchen=240, entrance=231, bathroom=59

## 设备事件日志
[2026-08-09T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-09T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-09T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-09T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-09T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-09T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-09T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-09T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2237
[2026-08-09T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-08-09T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-09T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-08-09T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-09T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-09T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-09T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-09T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-09T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-09T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-09T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-09T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-09T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-09T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2275
[2026-08-09T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T03:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-08-09T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-09T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-09T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-08-09T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-08-09T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-08-09T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-08-09T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-09T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-08-09T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409
[2026-08-09T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2418
[2026-08-09T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-08-09T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2433
[2026-08-09T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2438
[2026-08-09T10:52:00] kitchen_light | OnOff.OnOff = True
[2026-08-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-10T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-10T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-10T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-10T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-10T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-10T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-10T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-08-10T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2238
[2026-08-10T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-10T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-10T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-10T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-10T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-10T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2250
[2026-08-10T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-10T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-10T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-10T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-10T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-08-10T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-10T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283
[2026-08-10T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-10T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-10T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2286
[2026-08-10T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-08-10T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-10T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-08-10T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2289
[2026-08-10T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-10T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-10T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-10T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-08-10T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-08-10T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-08-10T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2419
[2026-08-10T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2418
[2026-08-10T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2422
[2026-08-10T11:07:00] kitchen_light | OnOff.OnOff = True
[2026-08-10T23:52:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-11T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-11T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-11T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-11T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-11T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-11T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2242
[2026-08-11T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2239
[2026-08-11T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-11T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-11T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-08-11T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-11T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-11T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-08-11T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-11T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-11T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-11T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-11T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-11T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-11T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-11T03:15:00] kitchen_light | OnOff.OnOff = True
[2026-08-11T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-08-11T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378

## 任务
以下是过去 3 天的设备活动记录。请识别其中是否存在可疑行为模式，并解释你的判断。

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "过去三天的设备日志显示独居老人的活动模式高度一致且符合正常作息，未发现安全威胁或异常行为。",
  "reasoning": [
    "1. 活动规律性分析：三天内（8-09 至 8-11）的跨天活动摘要数据几乎完全一致（living_room ~210, bedroom ~240, kitchen ~238），表明住户的生活节奏非常稳定，没有突发性的长时间离家、深夜异常活动或设备被入侵的迹象。",
    "2. 温度与占用逻辑验证：日志中显示的室温数值（如 2313 代表 23.13°C）在夜间无人时缓慢上升，白天有人时保持稳定，这与空调运行和人体散热产生的热力学现象完全吻合，排除了传感器故障或漂移的可能。",
    "3. 关键事件时序确认：厨房灯光开启时间（约 10:52/11:07）与老人起床后的常规活动时间相符；凌晨 3:14 左右的短暂占用信号随后立即消失，符合起夜或短暂经过客厅的习惯，且未伴随其他危险信号（如烟雾报警或漏水）。"
  ],
  "key_evidence": [
    "连续三天各房间活动计数高度重复，显示极稳定的日常习惯。",
    "温度传感器读数随时间和占用状态呈现合理的物理变化趋势，无突变或死值。",
    "所有运动传感器触发后均有相应的环境响应（如温度微变），且无持续的高风险状态（如门开灯亮但无人移动）。"
  ],
  "recommended_actions": [
    "继续保持当前的监控频率，无需额外干预。",
    "建议定期检查空调滤网以确保室内空气质量，鉴于老人独居，良好的通风对健康至关重要。"
  ]
}
```


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
[2026-07-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-07-10T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-10T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-10T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-10T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-10T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-10T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-10T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-10T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-10T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-10T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-10T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-10T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-10T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-10T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-10T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-10T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-10T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-10T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-10T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-10T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-10T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-10T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-10T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-10T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-10T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-10T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-10T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-10T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T19:29:24] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T20:54:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T22:19:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T23:44:07] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

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


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

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

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

## 家庭环境信息
家庭布局: 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
[2026-07-15T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-15T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-15T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-07-15T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T07:13:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-15T07:13:20] front_door_lock | DoorLock.LockState = 2
[2026-07-15T07:13:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-15T07:13:30] front_door_lock | DoorLock.LockState = 1
[2026-07-15T18:11:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-15T18:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-15T18:11:31] living_room_light_1 | OnOff.OnOff = True
[2026-07-15T22:08:00] 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。

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间无人状态及白天的常规出入活动，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）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），随后在 04:09 打开客厅灯，这符合住户起床上厕所或短暂查看后返回并锁门的正常行为模式，而非入侵迹象。",
    "推理步骤 2: 早上 07:13 的日志显示入户门先被手动上锁（LockOperationType=1），紧接着在 30 秒后被手动解锁（LockOperationType=0），随后 18:11 再次出现上锁操作。这种‘上锁 - 解锁’的序列通常发生在住户出门前检查门锁或进出过程中调整门锁状态，结合后续 18:11 开门和 18:18 开灯的时间点，符合典型的离家/回家流程。",
    "推理步骤 3: 整个时间窗口内没有检测到窗户传感器异常开启、烟雾报警器触发、漏水报警或其他设备故障事件，所有动作均由 Manual 源发起，逻辑连贯且符合人类行为习惯。"
  ],
  "key_evidence": [
    "凌晨时段全屋无人员活动记录，排除夜间入侵可能。",
    "门锁操作均为手动触发，且伴随合理的上下楼/开关门时间间隔，无暴力破解或异常停留特征。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前监控策略，关注未来是否有非手动触发的异常开锁事件。"
  ]
}
```


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

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

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

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

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

## 设备事件日志
[2026-08-17T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-08-17T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-08-17T02:12:00] entrance_light | OnOff.OnOff = True
[2026-08-17T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:36:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间离家模式及次日早晨手动上锁行为，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 02:11 分，入户门锁状态变为 2（通常代表解锁或开启），同时门接触传感器状态为 False（门打开）。这符合住户夜间起床如厕或短暂离开房间后开门的常规行为。",
    "推理步骤 2: 紧接着在 02:12 分玄关灯自动亮起，随后在 02:13 分客厅运动传感器检测到有人（Occupancy=1），表明住户正在屋内活动，且系统联动逻辑正常。",
    "推理步骤 3: 住户在 02:30 分离开客厅区域，所有房间 occupancy 归零，直到次日早上 07:36 分出现一次手动上锁操作（LockOperationType=1, OperationSource=Manual），这是典型的早晨出门前确认门锁安全的正常习惯。",
    "推理步骤 4: 整个时间线中，没有发现未授权进入、长时间门窗敞开、异常设备触发或传感器故障的迹象，所有事件均符合家庭日常作息规律。"
  ],
  "key_evidence": [
    "02:11 门锁开启与门传感器变化同步，且随后有室内人员活动记录。",
    "02:30 至 07:36 期间无异常入侵迹象，且 07:36 有明确的手动上锁记录。",
    "玄关灯与人感应的联动符合预设自动化场景。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，当前系统运行正常。",
    "建议继续保持当前的监控频率，关注后续是否有偏离此模式的异常行为。"
  ]
}
```


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
[2026-08-05T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-05T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-05T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-05T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T07:14:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-05T07:14:23] front_door_lock | DoorLock.LockState = 2
[2026-08-05T07:14:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-05T07:14:30] front_door_lock | DoorLock.LockState = 1
[2026-08-05T18:13:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-05T18:13:00] front_door_lock | DoorLock.LockState = 2
[2026-08-05T18:13:24] living_room_light_1 | OnOff.OnOff = True
[2026-08-05T22:02:00] 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。

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间无人状态及白天的常规出入和开灯行为，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 03:00 至 05:00 期间，所有房间（包括玄关、客厅、卧室、卫生间）的运动传感器均报告 Occupancy = 0，且入户门锁在 04:06-04:09 处于解锁状态（LockState=1），随后于 07:14 被手动上锁。这符合住户夜间离家后房屋空置的正常模式。",
    "推理步骤 2: 07:14 的开门事件伴随手动上锁操作，时间点在早晨，符合住户起床出门或回家的常规作息；紧接着 18:13 再次出现开门并上锁的操作，符合傍晚回家或出门的规律。",
    "推理步骤 3: 客厅灯光在 04:09 开启（可能是误触或测试，但无人员活动记录），并在 18:13 住户回家后开启，22:02 关闭。灯光开启与人员活动（或预期活动）的时间逻辑基本吻合，未检测到入侵迹象（如有人进入但门已锁死，或有人进入但运动传感器未触发）。"
  ],
  "key_evidence": [
    "03:00-05:00 全房无人且门锁状态正常切换",
    "07:14 和 18:13 的开门/关门操作均为 Manual 来源且逻辑连贯",
    "无异常时间段内的非授权访问尝试或传感器冲突"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议定期查看完整日志以确认 04:09 的灯光开启是否为偶发误触。"
  ]
}
```