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

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

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

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

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

## 设备事件日志
[2026-08-21T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-21T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-21T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-21T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T07:38:14] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-21T07:38:14] front_door_lock | DoorLock.LockState = 2
[2026-08-21T07:38:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-21T07:38:23] front_door_lock | DoorLock.LockState = 1
[2026-08-21T18:02:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-21T18:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-21T18:02:23] living_room_light_1 | OnOff.OnOff = True
[2026-08-21T21:52:00] living_room_light_1 | OnOff.OnOff = False

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间无人状态及白天的常规出入活动，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 04:06-04:09 处于解锁状态（LockState=1），随后于 07:38 被手动上锁，这符合住户夜间外出或清晨离家前的正常行为模式。",
    "推理步骤 2: 07:38 的日志记录了明确的'LockOperation'事件，操作源为'Manual'（手动），先解锁后上锁，紧接着 18:02 再次记录了一次完整的手动开锁和上锁过程，时间间隔合理，符合典型的早晚通勤规律。",
    "推理步骤 3: 客厅灯光在 18:02 开启并在 21:52 关闭，与 18:02 的入户开门动作高度相关，表明住户回家并开启了照明，整个序列逻辑连贯，无异常入侵迹象或设备故障特征。"
  ],
  "key_evidence": [
    "07:38 和 18:02 均有明确的手动锁具操作记录 (OperationSource=Manual) 且状态切换正常。",
    "全时段内除预期活动外，其他区域运动传感器持续保持空闲状态 (Occupancy=0)。",
    "灯光开启时间与入户开门时间存在合理的因果关联。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续监控后续日志以确认日常模式的稳定性。"
  ]
}
```


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 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 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 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: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 132

## 跨天活动摘要
- 2026-07-03: living_room=112, entrance=229, bathroom=54, master_bedroom=48, second_bedroom=48, kitchen=8
- 2026-07-04: living_room=195, bathroom=54, entrance=51, master_bedroom=48, second_bedroom=48, kitchen=14
- 2026-07-05: living_room=196, bathroom=56, entrance=51, master_bedroom=48, second_bedroom=48, kitchen=15

## 设备事件日志
[2026-07-03T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-03T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-03T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-03T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-03T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-03T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-03T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-03T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-03T02:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-03T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-03T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-03T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-03T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-03T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-03T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-03T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-03T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-03T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-03T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-03T03:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-03T03:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-03T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-03T03:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-03T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-03T03:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-03T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-03T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-03T03:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-03T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-03T03:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-07-03T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T03:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-03T03:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-03T03:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-03T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-03T03:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-03T03:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-03T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-07-03T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-07-03T03:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-07-03T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-03T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-07-03T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-07-03T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-07-03T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2421
[2026-07-03T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2427
[2026-07-03T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2430
[2026-07-03T07:35:00] kitchen_light | OnOff.OnOff = False
[2026-07-03T21:49:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-04T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-04T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-04T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-04T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-04T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-04T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-04T02:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-04T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-04T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-04T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-04T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-04T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-04T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-04T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-04T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-04T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-04T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-04T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-04T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-04T03:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-04T03:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-04T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-04T03:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-04T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-04T03:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-04T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-04T03:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-04T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-04T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-04T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-04T03:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-04T03:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-04T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-04T03:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-04T03:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-04T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-04T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-04T03:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-04T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-04T04:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-04T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-07-04T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-07-04T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-07-04T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2415
[2026-07-04T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2416
[2026-07-04T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2430
[2026-07-04T11:45:00] kitchen_light | OnOff.OnOff = True
[2026-07-04T18:13:00] kitchen_light | OnOff.OnOff = True
[2026-07-05T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-05T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-05T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-05T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-05T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-05T02:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-05T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-05T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T03:15:00] kitchen_light | OnOff.OnOff = True

## 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。

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

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_drift",
  "threat_description": "客厅温度传感器读数异常偏高且波动剧烈，显示为摄氏度数值的十倍（例如 2317 代表 23.17°C），表明传感器存在严重的校准漂移或固件故障。",
  "reasoning": [
    "推理步骤 1: 分析日志中的温度数据，发现所有房间的温度传感器报告的值均在 2300-2430 之间（如 living_room_temp_sensor 在 02:00 报告 2322）。考虑到 Matter 协议中温度通常以 0.01°C 为单位存储，实际温度约为 23.22°C，这在物理上是合理的室温范围。然而，数值本身是整数形式而非小数形式，或者设备配置错误导致单位解析偏差，这属于数据格式/校准层面的异常。",
    "推理步骤 2: 观察同一时间段内不同传感器的行为模式。虽然多个房间（客厅、次卧、厨房、主卧）都报告了类似的'高位'整数温度，但更关键的是这些数值的稳定性与变化率。例如，living_room_temp_sensor 在 02:00 到 02:25 期间从 2322 快速上升至 2342，随后又下降至 2336，这种高频的微小整数跳动（±10 个单位即 ±0.1°C 的剧烈震荡）不符合真实热力学环境的热惯性特征，更像是传感器噪声过大或采样逻辑错误导致的漂移。",
    "推理步骤 3: 结合上下文判断威胁等级。尽管没有直接检测到入侵（occupancy 传感器在夜间大部分时间为 0，仅在凌晨短暂触发一次可能误报或正常活动），但温度传感器的严重漂移会导致空调系统基于错误数据运行（如过度制冷或制热），造成能源浪费甚至设备损坏。此外，如果该数值被错误地解释为绝对高温（2317°C），将直接触发火灾报警，构成潜在的安全误报风险。因此，判定为 sensor_drift（传感器漂移/故障）。"
  ],
  "key_evidence": [
    "living_room_temp_sensor 在 2026-07-03T02:00:00 至 04:50:00 期间持续报告 2300+ 的整数值，且数值频繁在几十的范围内无规律波动（如 2322 -> 2342 -> 2336），表现出非物理性的抖动特征。",
    "跨房间一致性检查显示，厨房和主卧传感器也出现了类似的数值偏移（如 kitchen_temp_sensor 达到 2402），暗示可能是全局配置错误或批量固件问题，而非单一设备故障。"
  ],
  "recommended_actions": [
    "立即检查并重置所有受影响的温度传感器设备，确认其固件版本是否为最新。",
    "联系设备制造商或技术支持，核实 Matter 协议下的温度测量单元（Unit of Measure）配置是否正确（应为 0.01°C 而非 1°C 或其他错误映射）。",
    "在修复前，暂时忽略基于这些温度数据的自动化场景（如自动开空调），以免引发错误的执行动作。"
  ]
}
```


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

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

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

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

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

## 跨天活动摘要
- 2026-08-02: entrance=54, living_room=195, bathroom=54, master_bedroom=48, second_bedroom=48, kitchen=14

## 设备事件日志
[2026-08-02T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-08-02T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-08-02T02:12:00] entrance_light | OnOff.OnOff = True
[2026-08-02T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T10:46:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T13:21:00] 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。

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间离家模式及随后的日间回家活动，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 02:11 至 02:13 期间，入户门锁状态变为'解锁'(LockState=2)，门接触传感器变为'打开'(False)，随后玄关灯开启，紧接着客厅运动传感器在 02:13 检测到有人。这一序列完全符合住户夜间起床或短暂外出（如去阳台、厨房）后返回并锁门的正常行为逻辑，且时间点在深夜，非入侵高发时段。",
    "推理步骤 2: 从 02:30 开始，所有房间（包括入口、客厅、卧室、卫生间）的运动传感器均持续报告无人 (Occupancy=0)，直到次日 10:46 客厅才再次检测到人员。这表明住户在凌晨离开后，家中长时间处于空置状态，符合典型的睡眠或离家模式，无异常徘徊迹象。",
    "推理步骤 3: 白天 10:46 和 13:21 的客厅 occupancy 变化符合正常的日间作息规律。整个日志片段中，设备状态变化连贯且符合物理常识，没有发现门窗非法开启、异常长时间滞留或设备故障等异常模式。"
  ],
  "key_evidence": [
    "02:11 门锁解锁与开门事件紧随其后的是灯光开启和极短时间内的客厅有人检测，随后立即恢复无人状态。",
    "02:30 至 10:46 长达 8 小时内全屋传感器持续报告无人，符合夜间/清晨的空置特征。",
    "所有涉及的设备（门锁、传感器、灯具）状态转换逻辑一致，无冲突或卡死现象。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续监控后续日志，确认日间活动模式是否符合预期。"
  ]
}
```


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

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

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

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 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 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]

## 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: 37

## 跨天活动摘要
- 2026-07-31: entrance=17, living_room=110, bedroom=66, bathroom=57, kitchen=8

## 设备事件日志
[2026-07-31T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T01:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-31T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-31T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-31T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:18:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-31T07:18:26] front_door_lock | DoorLock.LockState = 2
[2026-07-31T07:18:28] front_door_contact | BooleanState.StateValue = False
[2026-07-31T07:18:32] front_door_contact | BooleanState.StateValue = True
[2026-07-31T07:18:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-31T07:18:33] front_door_lock | DoorLock.LockState = 1
[2026-07-31T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T18:21:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-31T18:21:00] front_door_lock | DoorLock.LockState = 2
[2026-07-31T18:21:02] front_door_contact | BooleanState.StateValue = False
[2026-07-31T18:21:06] entrance_light | OnOff.OnOff = True
[2026-07-31T19:26:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T20:51:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T22:03:02] entrance_light | OnOff.OnOff = False
[2026-07-31T22:03:34] front_door_contact | BooleanState.StateValue = True
[2026-07-31T22:03:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-31T22:03:35] front_door_lock | DoorLock.LockState = 1
[2026-07-31T22:16:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T23:41:07] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "所有设备事件均符合正常家庭作息模式，未发现入侵、尾随或设备故障迹象。",
  "reasoning": [
    "推理步骤 1: 凌晨 02:11 的开门事件发生在住户深度睡眠时段（根据跨天摘要，此时全屋无活动），且随后立即检测到客厅有人（02:13），紧接着在 02:30 所有人离开并恢复无人状态。这种‘深夜短暂起身’的模式符合单人居住者的正常生理节律（如起夜），而非入侵者行为（入侵者通常会避免触发内部传感器或长时间停留）。",
    "推理步骤 2: 早晨 07:18 和傍晚 18:21 的开门/关门操作均由手动触发，且门锁状态变化与门接触传感器（Door Contact）的状态翻转逻辑一致（开门时锁解锁且门开，关门后门锁闭且门关），时序紧密，排除了远程破解或机械破坏的可能性。",
    "推理步骤 3: 晚间 22:03 的关门上锁操作紧随最后一名住户离开客厅之后，且玄关灯自动关闭，整个流程符合标准的离家程序。日志中未出现门锁反复尝试、异常时间段的持续占用或传感器数据漂移等异常特征。"
  ],
  "key_evidence": [
    "02:11-02:30 期间的活动呈现典型的‘短暂离床 - 返回 - 再次离开’模式，且后续无其他人员进入，符合主人夜间活动特征。",
    "所有门锁操作（LockOperation）均为手动触发，且与门接触传感器状态变化完全同步，逻辑闭环完整。",
    "全天各房间 occupancy 传感器读数与时间轴高度吻合，无幽灵信号或长时间异常滞留记录。"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施，系统运行正常。",
    "建议继续保持当前的监控频率，关注未来是否有类似深夜活动的频率增加趋势。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 21

## 设备事件日志
[2026-08-16T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T20:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T22:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T22:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T23:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T23:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T23:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T23:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-08-16T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T23:25:00] kitchen_light | OnOff.OnOff = True
[2026-08-16T23:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T23:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T23:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T23:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T23:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "credential_theft",
  "threat_description": "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。"
  ]
}

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间回家及短暂活动模式，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 在 23:00 时，所有房间（包括客厅、卧室、卫生间和玄关）的运动传感器均报告无人 (Occupancy=0)，且入户门锁处于锁定状态 (LockState=2)，表明家庭处于安全的就寝或离家状态。",
    "推理步骤 2: 在 23:18 发生了一次门锁解锁事件，随后在 23:24 检测到客厅有人出现，并在 23:25 开启了厨房灯光。这一序列符合住户正常回家的行为逻辑：先开门，进入客厅，然后去厨房操作（如做饭或取物）。",
    "推理步骤 3: 该人员在厨房停留约 6 分钟后，于 23:30 离开（客厅运动传感器再次变为 0），且后续日志中未再检测到异常移动或设备触发。整个过程时间连贯，行为符合常理，无尾随入侵或非法闯入迹象。"
  ],
  "key_evidence": [
    "23:18 门锁解锁后紧接着 23:24 检测到室内人员活动",
    "23:25 开启厨房灯与人员出现在客厅的时间间隔合理，符合回家后的自然动线",
    "23:30 人员离开后，全屋传感器恢复为无人状态，系统重新进入安全监控模式"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前的安防监控策略，定期查看日志以确认长期模式的一致性。"
  ]
}
```


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 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 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 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: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 131

## 跨天活动摘要
- 2026-08-11: living_room=116, master_bedroom=230, entrance=228, second_bedroom=48, bathroom=48, kitchen=11
- 2026-08-12: living_room=114, master_bedroom=232, entrance=226, second_bedroom=48, bathroom=48, kitchen=11
- 2026-08-13: living_room=111, master_bedroom=230, entrance=229, second_bedroom=48, bathroom=48, kitchen=12

## 设备事件日志
[2026-08-11T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-11T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-11T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-11T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-11T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-11T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-11T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-11T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-11T02:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-11T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-11T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-11T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-11T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-11T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-11T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-11T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-11T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-11T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-11T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-11T03:00:00] master_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] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-11T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-11T03:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-11T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-11T03:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-11T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-11T03:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-11T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-11T03:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-11T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-11T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-08-11T03:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-11T03:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-11T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-11T03:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-11T03:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-11T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-11T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-11T03:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-11T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-11T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-08-11T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-08-11T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-08-11T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2420
[2026-08-11T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2435
[2026-08-11T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2425
[2026-08-11T07:32:04] kitchen_light | OnOff.OnOff = False
[2026-08-11T19:10:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-12T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-12T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-12T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-12T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-12T02:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-12T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-12T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-12T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-12T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-12T02:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-12T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-12T02:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-12T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-12T02:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-12T02:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-12T02:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-12T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-12T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-12T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-12T03:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-12T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-12T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T03:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-12T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-12T03:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-12T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-12T03:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-08-12T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-12T03:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-12T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-12T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-12T03:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-12T03:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-08-12T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-12T03:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-12T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-08-12T03:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-08-12T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-12T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-08-12T04:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-08-12T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-08-12T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2422
[2026-08-12T04:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2423
[2026-08-12T04:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2431
[2026-08-12T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2425
[2026-08-12T06:33:06] kitchen_light | OnOff.OnOff = True
[2026-08-12T18:49:00] kitchen_light | OnOff.OnOff = True
[2026-08-12T23:35:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-08-13T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-13T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-08-13T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-13T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-13T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-13T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-13T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-13T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T03:15:00] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_drift",
  "threat_description": "客厅温度传感器读数严重偏离物理现实，显示异常高温（2300-2400+），且与住户活动模式不匹配，疑似传感器故障或数据漂移。",
  "reasoning": [
    "推理步骤 1: 分析日志发现，从 2026-08-11T01:40:00 开始，living_room_temp_sensor 的 MeasuredValue 持续在 2300 至 2400+ 之间波动。考虑到 Matter 协议中温度通常以 0.01°C 为单位，该数值实际代表 23.00°C 至 24.00°C，这在夏季夜间是合理的室温范围。然而，若假设系统未进行单位缩放或存在严重的浮点数溢出/截断错误，这些数值本身作为原始整数（如 2312）对于普通家用传感器来说极高（2312°C），这显然不可能。更可能的情况是：这是一个单位转换错误（例如将毫开尔文 mK 误报为摄氏度，或者内部存储值未正确除以 100），或者是传感器固件 Bug 导致上报了错误的原始值。",
    "推理步骤 2: 对比同一时间段内的其他房间数据。master_bedroom、kitchen、second_bedroom 的温度传感器也报告了类似的数值范围（2300-2400+）。虽然全屋温度同时升高可能意味着极端天气，但结合时间戳（凌晨 1 点至 4 点），此时室外气温通常较低，室内空调应处于制冷或待机状态，不太可能出现全屋同时达到 2300°C（或即使按 0.01 换算后的异常剧烈波动模式）的情况。更重要的是，这种‘整齐’的高数值分布强烈暗示是数据采集或传输层面的系统性错误，而非真实的热事件。",
    "推理步骤 3: 观察住户行为与设备状态的关联。日志显示在 2026-08-11T03:14:00 和 2026-08-12T03:14:00 左右，living_room_occupancy 短暂变为 1（有人），随后又迅速归零。如果温度传感器正常工作，当有人进入时，由于人体散热，温度应有微小上升或保持稳定；但在日志中，温度读数在人员出现前后并没有表现出符合物理规律的动态变化，而是维持着异常的静态高值。此外，厨房灯光在凌晨 07:32 和 06:33 被开启，这与正常的作息不符（除非是定时任务，但通常不会如此频繁且无关联操作），进一步增加了环境数据的不可信度。综合来看，温度传感器的数据可信度极低，属于典型的 sensor_drift 或 sensor_malfunction（此处归类为 drift 涵盖数据偏差类故障）。",
    "推理步骤 4: 排除入侵风险。虽然入户门传感器（entrance_contact_sensor）未在提供的片段中明确显示‘打开’状态，但 occupancy_sensor 在凌晨时段多次检测到有人（Occupancy=1），且随后立即消失。如果这是入侵者，通常会伴随门窗接触传感器报警或长时间停留。目前的证据链主要指向传感器数据本身的异常，而非明确的入侵行为。因此，首要问题是传感器数据失真。"
  ],
  "key_evidence": [
    "living_room_temp_sensor 在凌晨时段连续上报数值 2300-2400+，远超正常室温范围（即使考虑单位问题，其波动模式也异常）。",
    "多个房间（客厅、主卧、厨房、次卧）的温度传感器在同一时间段内同步出现类似的高数值异常，表明可能是系统级配置错误或固件 bug，而非局部热源。",
    "温度读数的异常值与 occupancy_sensor 检测到的短暂人员活动没有合理的物理因果关系（如人体热效应导致的显著升温）。"
  ],
  "recommended_actions": [
    "立即检查所有温度传感器的固件版本，并尝试重启相关设备以清除临时缓存错误。",
    "联系设备制造商或技术支持，确认是否存在已知的温度测量 Bug 或单位转换配置错误。",
    "暂时忽略基于温度数据的自动化场景（如过热保护、恒温控制），直到传感器读数恢复正常。",
    "建议用户手动校准或使用独立温度计验证当前实际室温，以确保居住安全。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 37

## 设备事件日志
[2026-08-28T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-08-28T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-08-28T02:12:00] entrance_light | OnOff.OnOff = True
[2026-08-28T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:59:04] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-28T06:59:04] front_door_lock | DoorLock.LockState = 2
[2026-08-28T06:59:06] front_door_contact | BooleanState.StateValue = False
[2026-08-28T06:59:10] front_door_contact | BooleanState.StateValue = True
[2026-08-28T06:59:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-28T06:59:11] front_door_lock | DoorLock.LockState = 1
[2026-08-28T08:26:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-28T08:26:00] front_door_lock | DoorLock.LockState = 2
[2026-08-28T08:26:02] front_door_contact | BooleanState.StateValue = False
[2026-08-28T09:46:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T12:36:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T15:25:13] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:15:13] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T20:43:11] front_door_contact | BooleanState.StateValue = True
[2026-08-28T20:43:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-28T20:43:12] front_door_lock | DoorLock.LockState = 1
[2026-08-28T21:01:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:51:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间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 02:11 至 02:30 期间，门锁解锁、门接触传感器触发（False）、玄关灯开启以及客厅有人检测，随后在 02:30 所有房间 occupancy 归零且门锁重新上锁。结合独居老人的作息习惯，这符合老人夜间起夜如厕或短暂外出后返回并锁门的正常行为模式，且后续长时间无活动直至次日清晨，排除了入侵可能。",
    "推理步骤 2: 06:59 和 08:26 的日志记录了手动解锁、开门、关门及重新上锁的操作序列，时间间隔合理，符合老人早晨起床出门上班或外出的常规流程。",
    "推理步骤 3: 傍晚 20:43 记录了一次完整的开门 - 关门 - 上锁操作，随后在 21:01 检测到客厅有人，表明老人已安全回家。整段日志中设备状态变化逻辑连贯，传感器读数与物理动作一致，未出现异常滞留、非法闯入或设备故障迹象。"
  ],
  "key_evidence": [
    "02:11-02:30 期间的完整‘解锁 - 进门 - 离开 - 上锁’闭环且之后长时间无活动",
    "06:59 和 08:26 的手动操作序列符合日常出行规律",
    "20:43 的关门上锁操作紧随其后 21:01 的室内有人检测，确认住户安全归位"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持对入户门锁和运动传感器的监控，关注夜间是否有非预期的长时间停留。"
  ]
}
```


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

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

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

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

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

## 设备事件日志
[2026-07-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-20T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-20T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-20T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T07:35:29] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间离家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 至 02:13 的事件序列（门锁解锁、门接触传感器断开、玄关灯开启）符合住户夜间起床如厕或短暂离开房间后返回的典型行为模式，且随后在 02:30 所有房间 occupancy 均恢复为 0，表明住户已重新进入并处于休息状态，非入侵迹象。",
    "推理步骤 2: 凌晨 02:30 之后直到 07:35，所有重点房间（entrance, living_room 等）的 occupancy 持续为 0，符合家庭夜间无人活动的正常状态。",
    "推理步骤 3: 07:35 发生的 LockOperation (LockOperationType=1, OperationSource=Manual) 表示住户在早晨出门前手动锁门，这是标准的日常安全操作，与之前的异常事件无关联，整体时间线逻辑连贯且合理。"
  ],
  "key_evidence": [
    "02:11-02:13 的门锁/传感器变化后立即伴随 occupancy 归零，符合内部人员活动特征。",
    "02:30 全房 occupancy 同时变为 0，确认了‘空屋’状态的建立。",
    "07:35 的手动上锁操作发生在长时间的空屋期之后，符合早晨离家的常规流程。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持对入户门锁和运动传感器的监控，以捕捉未来可能的异常模式。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_light, living_room_occupancy
- 已选事件数: 23

## 设备事件日志
[2026-07-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-20T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-20T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T19:21:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T20:51:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T22:21:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T23:51:08] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

Rejected response:
{
  "is_anomaly": true,
  "confidence": "low",
  "threat_type": "fire_risk",
  "threat_description": "存在异常，但原因更可能属于其他类别。",
  "reasoning": [
    "推理步骤1: 日志里有异常，但我把它归因为另一类威胁。"
  ],
  "key_evidence": [
    "深夜阳台门突然打开"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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

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

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

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

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

## 跨天活动摘要
- 2026-08-19: entrance=235, living_room=114, bathroom=56, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-08-19T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-08-19T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-08-19T02:12:00] entrance_light | OnOff.OnOff = True
[2026-08-19T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T07:14:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-19T07:14:19] front_door_lock | DoorLock.LockState = 2

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间离家与清晨入户行为模式，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 02:11 至 02:13 的事件序列（门锁解锁、门接触传感器断开、玄关灯开启）随后在 02:13 检测到客厅有人，符合住户夜间起床如厕或短暂活动后离家的正常行为逻辑。",
    "推理步骤 2: 该时段内所有房间运动传感器均报告无人状态（0），且后续长时间无异常闯入迹象，排除了非法入侵的可能性。",
    "推理步骤 3: 早晨 07:14 的锁操作事件标记为手动操作且状态变为锁定（LockState=2），结合时间戳符合住户正常出门上班/上学的日常习惯。"
  ],
  "key_evidence": [
    "02:11-02:13 的门锁/传感器联动与随后短暂的客厅 occupancy 信号一致于内部人员活动。",
    "07:14 的 LockOperation 类型为 Manual 且发生在早晨通勤时间，符合预期行为。",
    "全时段无其他房间传感器触发报警或异常占用记录。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前的设备监控频率以确保全天候安全。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 37

## 设备事件日志
[2026-07-21T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-21T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-21T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-21T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T06:56:10] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-21T06:56:10] front_door_lock | DoorLock.LockState = 2
[2026-07-21T06:56:12] front_door_contact | BooleanState.StateValue = False
[2026-07-21T06:56:14] front_door_contact | BooleanState.StateValue = True
[2026-07-21T06:56:15] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-21T06:56:15] front_door_lock | DoorLock.LockState = 1
[2026-07-21T08:30:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-21T08:30:00] front_door_lock | DoorLock.LockState = 2
[2026-07-21T08:30:02] front_door_contact | BooleanState.StateValue = False
[2026-07-21T09:45:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T12:35:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T15:24:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T18:14:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T20:35:12] front_door_contact | BooleanState.StateValue = True
[2026-07-21T20:35:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-21T20:35:13] front_door_lock | DoorLock.LockState = 1
[2026-07-21T21:00:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T23:50:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人正常的夜间外出、日间活动及晚间归家模式，未发现入侵或异常行为迹象。",
  "reasoning": [
    "推理步骤 1: 凌晨 02:11 至 02:30 期间，门锁解锁 (LockState=1)、门接触传感器断开 (False) 随后在 02:14 恢复闭合 (True)，紧接着玄关灯亮起且客厅有人 (Occupancy=1)，随后人在 02:30 离开。这符合老人起夜如厕后短暂外出（可能是去阳台或小区散步）并返回的完整闭环，且门锁最终处于锁定状态 (LockState=2)。",
    "推理步骤 2: 早晨 06:56 和 08:30 的门锁操作均为手动上锁，伴随门接触传感器先断后合再断的过程，这是典型的开门离家动作，时间规律且逻辑正常。",
    "推理步骤 3: 傍晚 20:35 门锁被手动解锁并打开，随后客厅运动传感器在 21:00 检测到人员存在，表明老人已安全归家。整个时间轴内的所有设备状态变化均符合独居老人的生活习惯，无强行闯入、尾随或设备故障特征。"
  ],
  "key_evidence": [
    "02:11-02:30 时间段内，门锁状态经历了 '解锁 -> 开门 -> 关门 -> 重新上锁' 的完整序列，且后续未检测到非法入侵尝试。",
    "所有门接触传感器 (front_door_contact) 的状态变化均与门锁操作事件 (LockOperation) 在时间上紧密耦合，排除了传感器卡死或恶意篡改的可能性。",
    "人员出现 (living_room_occupancy = 1) 的时间点与门锁开启后的合理延迟一致，确认了合法住户的存在。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持对独居老人夜间活动的监控，若未来出现长时间未归或门锁异常开启的情况，系统将自动触发警报。"
  ]
}
```


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

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

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

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

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

## 设备事件日志
[2026-08-26T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-26T02:08:00] balcony_light | OnOff.OnOff = True
[2026-08-26T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T19:21:15] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T20:43:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T22:08:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T23:33:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T23:53:05] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

Rejected response:
{
  "is_anomaly": true,
  "confidence": "low",
  "threat_type": "fire_risk",
  "threat_description": "存在异常，但原因更可能属于其他类别。",
  "reasoning": [
    "推理步骤1: 日志里有异常，但我把它归因为另一类威胁。"
  ],
  "key_evidence": [
    "深夜阳台门突然打开"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 23

## 跨天活动摘要
- 2026-08-22: entrance=49, living_room=49, master_bedroom=48, second_bedroom=48, bathroom=48, kitchen=1

## 设备事件日志
[2026-08-22T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T20:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T22:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T22:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T22:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T22:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T23:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T23:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T23:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T23:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-08-22T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T23:25:00] kitchen_light | OnOff.OnOff = True
[2026-08-22T23:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T23:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T23:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T23:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T23:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "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。"
  ]
}

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间归家及短暂厨房活动模式，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 在 23:00 至 23:18 期间，所有房间（包括客厅、卧室、卫生间）的运动传感器均报告无人 (Occupancy=0)，且入户门锁状态为未锁定 (LockState != 2)，表明此时家中无人且大门紧闭，处于安全的离家/睡眠状态。",
    "推理步骤 2: 23:18 发生门锁解锁事件 (LockState = 2)，紧接着在 6 分钟后 (23:24) 检测到客厅有人 (Occupancy=1)，随后在 23:25 开启厨房灯。这一时间序列完全符合住户正常回家的行为逻辑：进门 -> 进入客厅 -> 前往厨房。",
    "推理步骤 3: 异常点排查：虽然从开门到客厅有人仅间隔 6 分钟，但考虑到入户门位于玄关，而客厅运动传感器可能受墙体遮挡或距离较远，存在合理的物理延迟；此外，用户可能在玄关停留整理物品或换鞋。随后用户在厨房短暂停留后离开，并在 23:30 时所有区域再次恢复无人状态，整体行为连贯且无入侵迹象。"
  ],
  "key_evidence": [
    "23:18 门锁解锁后立即于 23:24 检测到客厅有人，时间差符合正常步行速度。",
    "23:25 厨房灯光开启与人员出现在客厅后的行为顺序一致，排除了尾随入侵的可能性。",
    "23:30 所有区域运动传感器重新变为 0，确认活动结束后房屋已恢复安全状态。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议保持当前监控策略，继续记录后续活动以建立更精确的基准线。"
  ]
}
```


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

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

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

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 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 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]

## 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: 33

## 设备事件日志
[2026-08-03T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-08-03T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-08-03T02:12:00] entrance_light | OnOff.OnOff = True
[2026-08-03T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T07:31:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-03T07:31:18] front_door_lock | DoorLock.LockState = 2
[2026-08-03T07:31:20] front_door_contact | BooleanState.StateValue = False
[2026-08-03T07:31:27] front_door_contact | BooleanState.StateValue = True
[2026-08-03T07:31:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-03T07:31:28] front_door_lock | DoorLock.LockState = 1
[2026-08-03T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T18:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-03T18:18:00] front_door_lock | DoorLock.LockState = 2
[2026-08-03T18:18:02] front_door_contact | BooleanState.StateValue = False
[2026-08-03T18:18:18] entrance_light | OnOff.OnOff = True
[2026-08-03T19:23:20] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T20:48:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T22:03:10] entrance_light | OnOff.OnOff = False
[2026-08-03T22:03:37] front_door_contact | BooleanState.StateValue = True
[2026-08-03T22:03:38] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-03T22:03:38] front_door_lock | DoorLock.LockState = 1
[2026-08-03T22:13:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T23:38:04] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间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: 凌晨时段 (02:00-03:00) 所有房间运动传感器均为 0，且门锁保持锁定状态 (LockState=2)，符合夜间睡眠或离家后的正常无人模式。",
    "推理步骤 2: 早晨 (07:31) 和傍晚 (18:18) 的门锁操作均伴随门接触传感器短暂断开 (False) 后恢复闭合 (True)，且随后有手动上锁动作，这是标准的开门进出并重新锁门的正常行为序列。",
    "推理步骤 3: 晚间 (22:03) 检测到人员离开后，门锁被手动关闭并上锁 (LockState=1)，随后客厅运动传感器在深夜至凌晨持续报告有人 (Occupancy=1)，结合入户门已锁闭，这极可能是住户在室内休息或活动，而非入侵事件。"
  ],
  "key_evidence": [
    "02:00-03:00 期间所有 OccupancySensing.Occupancy = 0 且 DoorLock.LockState = 2",
    "07:31 和 18:18 的 LockOperation 事件后均有对应的 front_door_contact 状态变化及后续的上锁操作",
    "22:03 之后 front_door_lock 执行了关闭和上锁操作 (LockState=1)"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前的设备监控策略，关注深夜客厅持续有人活动的具体时间段以优化节能逻辑（如自动关灯）。"
  ]
}
```