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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 27

## 跨天活动摘要
- 2026-08-29: entrance=49, living_room=49, dining_room=48, master_bedroom=48, second_bedroom=48, kids_room=48

## 设备事件日志
[2026-08-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T20:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T22:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T22:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T22:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T22:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-08-29T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T23:25:00] kitchen_light | OnOff.OnOff = True
[2026-08-29T23:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间回家及短暂厨房活动模式，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，在 23:00 所有房间（包括客厅、卧室、玄关）均报告无人状态 (Occupancy=0)，符合典型的深夜休息或离家后的静默期特征。",
    "推理步骤 2: 23:18 门锁解锁 (LockState=2) 紧接着 23:24 客厅检测到有人 (Occupancy=1)，随后 23:25 开启厨房灯，这一序列完全符合住户正常回家的行为逻辑：进门 -> 进入客厅 -> 去厨房操作。",
    "推理步骤 3: 异常点排查中，虽然 23:30 客厅和厨房区域迅速恢复无人状态，但这可能是住户离开厨房后直接返回卧室或去了其他未监测到的区域，或者是短暂的停留。考虑到之前全房无人且随后有明确的开门动作，这属于正常的家庭内部移动，而非入侵者快速撤离（入侵者通常不会特意开灯并长时间停留在厨房）。",
    "推理步骤 4: 综合来看，设备状态变化连贯且符合人类行为习惯，没有发现门窗非法开启、传感器故障或异常滞留等风险信号。"
  ],
  "key_evidence": [
    "23:18 门锁解锁与 23:24 客厅有人检测的时间差极短，符合正常进门流程。",
    "23:25 厨房灯开启紧随人员进入之后，表明是住户主动操作而非被动触发。",
    "23:00 至 23:17 期间全屋无活动记录，排除了长时间潜伏的入侵可能性。"
  ],
  "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，继续观察后续时段的活动模式以确认是否为常规作息。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_light, living_room_occupancy
- 已选事件数: 99

## 跨天活动摘要
- 2026-08-01: balcony=2, living_room=195, bathroom=56, entrance=51, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-08-01T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-08-01T01:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-01T01:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2295
[2026-08-01T01:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-01T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-08-01T01:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-01T01:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-01T01:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-08-01T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-01T01:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-08-01T01:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-08-01T01:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-08-01T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T01:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-08-01T01:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-08-01T01:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-08-01T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-01T01:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-01T01:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-01T01:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-01T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-01T01:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-01T01:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-01T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-01T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-01T01:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-01T01:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-01T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-01T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-01T01:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-01T01:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-08-01T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-01T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-01T02:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-01T02:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-01T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-01T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-01T02:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-01T02:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-01T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-01T02:08:00] balcony_light | OnOff.OnOff = True
[2026-08-01T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-01T02:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-01T02:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-01T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-01T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-01T02:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-01T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-01T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-01T02:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-01T02:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-01T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-01T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-01T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-01T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-01T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-01T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-01T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-01T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-01T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-01T02:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-01T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-01T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-01T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-01T02:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-01T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-01T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-01T02:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-01T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-01T02:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-01T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-01T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-01T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-01T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T10:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T13:23:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T15:58:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T18:33:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T21:08:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T23:43:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

{
  "is_anomaly": 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。"
  ]
}


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

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

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

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

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

## 跨天活动摘要
- 2026-08-10: entrance=232, bedroom=241, kitchen=240, living_room=211, bathroom=59

## 设备事件日志
[2026-08-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T01:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T01:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-08-10T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-08-10T02:12:00] entrance_light | OnOff.OnOff = True
[2026-08-10T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T07:09:10] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-10T07:09:10] front_door_lock | DoorLock.LockState = 2
[2026-08-10T07:09:12] front_door_contact | BooleanState.StateValue = False
[2026-08-10T07:09:16] front_door_contact | BooleanState.StateValue = True
[2026-08-10T07:09:17] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-10T07:09:17] front_door_lock | DoorLock.LockState = 1
[2026-08-10T08:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-10T08:25:00] front_door_lock | DoorLock.LockState = 2
[2026-08-10T08:25:02] front_door_contact | BooleanState.StateValue = False
[2026-08-10T09:45:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T12:35:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T15:20:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T18:10:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T20:44:11] front_door_contact | BooleanState.StateValue = True
[2026-08-10T20:44:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-10T20:44:12] front_door_lock | DoorLock.LockState = 1
[2026-08-10T21:00:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T23:50:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人正常的夜间外出、清晨离家及晚间归家活动模式，未发现入侵或异常行为。",
  "reasoning": [
    "推理步骤 1: 分析凌晨 02:11 的事件序列：门锁解锁 (LockState=1) -> 门接触传感器变 False (开门) -> 玄关灯开启 -> 客厅有人检测 -> 随后客厅无人且门锁重新上锁 (LockState=2)。这一连贯的时序逻辑（开门->进屋->关门）符合住户夜间起床上厕所或短暂离开房间后返回卧室的正常行为，且最终门锁已安全上锁。",
    "推理步骤 2: 分析早晨 07:09 至 08:25 的事件：门锁手动操作解锁并开门，随后在 08:25 再次手动操作上锁并关门。结合时间点和后续白天客厅多次检测到有人（09:45, 12:35 等），这完全符合老人起床出门倒垃圾/取报或进行晨间活动后返回家中并关门的正常生活规律。",
    "推理步骤 3: 分析晚上 20:44 的事件：门接触传感器变 True (关门)，紧接着门锁手动上锁。随后在 21:00 检测到客厅有人，直到深夜 23:50 仍有人。这表明老人按时回家并在屋内休息，整个监控周期内所有设备状态变化均与预期的独居老人作息高度一致，无长时间未上锁、非法闯入或异常滞留迹象。"
  ],
  "key_evidence": [
    "02:11-02:30 期间门锁先开后关，且伴随灯光和人员移动，形成完整的进出闭环。",
    "07:09 和 08:25 两次门锁操作均为手动且间隔合理，符合日常出行习惯。",
    "全天各时间段的人员分布（夜间仅在特定时刻出现，白天规律出现）符合独居老人的生理节律。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持对门锁状态和运动传感器的实时监控，作为基线数据用于未来异常检测模型的训练。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 50

## 设备事件日志
[2026-08-11T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-08-11T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-08-11T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-11T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-11T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-11T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-11T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-11T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-11T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-11T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-11T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-11T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-11T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-11T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-11T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-11T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-11T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-11T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-11T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-11T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-11T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-11T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-11T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-11T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-11T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-11T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-11T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-11T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-08-11T09:53:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T12:43:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T15:29:12] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

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


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

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

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

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

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

## 设备事件日志
[2026-07-09T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-07-09T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-09T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-09T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-09T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-09T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-09T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-09T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-09T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-09T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-09T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-09T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-09T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-09T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-09T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-09T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-09T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-09T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-09T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-09T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-09T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-09T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-09T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-09T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-09T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-09T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-09T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-09T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T19:27:23] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:55:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:25:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T23:50:02] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 32

## 设备事件日志
[2026-07-07T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T07:48:08] kitchen_light | OnOff.OnOff = False
[2026-07-07T07:48:25] front_door_lock | DoorLock.LockState = 2
[2026-07-07T07:48:29] front_door_lock | DoorLock.LockState = 1
[2026-07-07T15:59:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-07T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T18:07:00] front_door_lock | DoorLock.LockState = 2
[2026-07-07T19:32:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T22:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T22:27:29] front_door_contact | BooleanState.StateValue = True
[2026-07-07T22:27:30] front_door_lock | DoorLock.LockState = 1
[2026-07-07T22:32:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T22:45:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T22:49:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T22:51:51] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T22:52:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T22:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T22:57:18] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T23:05:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T23:09:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T23:17:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-07T23:21:51] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T23:25:00] kitchen_light | OnOff.OnOff = True
[2026-07-07T23:27:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T23:27:18] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T23:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T23:35:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T23:37:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T23:39:08] kids_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的家庭晚间活动模式，包括门锁操作、灯光控制及多房间人员流动，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 分析入户门锁状态，记录显示在 07:48 和 23:18 有明确的锁定/解锁操作（LockState 变化及 Manual LockOperation），且随后门传感器（contact_sensor）在 22:27 检测到开门并立即触发重新上锁（22:30），符合正常进出逻辑。",
    "推理步骤 2: 检查 occupancy 传感器数据，从 19:32 开始，客厅、玄关、餐厅、儿童房、主卧等多个区域的人员占用状态呈现合理的时序流动（如先动身去厨房，后进入卧室等），没有长时间无人却有人活动的矛盾或异常聚集现象。",
    "推理步骤 3: 验证设备联动行为，厨房灯在 23:25 被开启，对应之前 23:18 的入户动作和后续的人员移动轨迹，属于正常的照明控制；所有传感器读数均在合理范围内，无卡死或漂移迹象。",
    "推理步骤 4: 综合判断，该时间段（傍晚至深夜）的活动模式完全符合典型家庭作息，未检测到入侵、尾随、设备故障或其他安全风险特征。"
  ],
  "key_evidence": [
    "front_door_lock 在 22:27 开门后立即于 22:30 自动/手动上锁 (LockState=2)。",
    "occupancy 传感器记录了连贯的人员移动路径：Living Room -> Kitchen -> Dining Room -> Kids Room -> Master Bedroom。",
    "kitchen_light 在人员进入厨房区域附近时正常开启 (OnOff=True)。"
  ],
  "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夜间睡眠期间的安静模式是否建立。"
  ]
}
```


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: SQ3
- 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: 119

## 跨天活动摘要
- 2026-07-30: entrance=230, master_bedroom=228, living_room=115, second_bedroom=48, bathroom=48, kitchen=11

## 设备事件日志
[2026-07-30T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-30T01:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-07-30T01:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-07-30T01:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-07-30T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-30T01:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-07-30T01:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-30T01:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-30T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-30T01:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-30T01:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-07-30T01:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-30T01:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-30T01:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-07-30T01:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-07-30T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-07-30T01:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-30T01:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-30T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-30T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-30T01:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-30T01:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-30T01:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-30T01:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-30T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-30T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-30T02:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-30T02:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-30T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-30T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-30T02:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-30T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-30T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-30T02:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-30T02:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-30T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-30T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-30T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-30T02:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-30T02:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-30T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-30T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-30T02:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-30T02:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-30T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-30T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-30T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-30T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-30T02:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-30T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-30T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-30T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-30T02:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-30T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-30T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-30T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-30T02:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-30T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-30T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-30T02:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-30T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-30T02:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-30T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-30T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-30T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-30T02:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-30T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-30T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-30T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-30T03:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-30T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-30T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T07:42:28] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T07:42:28] front_door_lock | DoorLock.LockState = 2
[2026-07-30T07:42:30] front_door_contact | BooleanState.StateValue = False
[2026-07-30T07:42:38] front_door_contact | BooleanState.StateValue = True
[2026-07-30T07:42:39] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-30T07:42:39] front_door_lock | DoorLock.LockState = 1
[2026-07-30T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T16:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T16:19:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T16:19:02] front_door_contact | BooleanState.StateValue = False
[2026-07-30T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T17:50:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T17:50:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T17:50:02] front_door_contact | BooleanState.StateValue = False
[2026-07-30T19:15:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:45:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T22:15:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T22:18:24] front_door_contact | BooleanState.StateValue = True
[2026-07-30T22:18:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-30T22:18:25] front_door_lock | DoorLock.LockState = 1
[2026-07-30T23:45:08] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

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


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

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

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

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

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

## 跨天活动摘要
- 2026-07-15: entrance=229, master_bedroom=233, kids_room=228, dining_room=221, living_room=114, master_bathroom=53

## 设备事件日志
[2026-07-15T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T06:47:05] kitchen_light | OnOff.OnOff = True
[2026-07-15T07:26:07] kitchen_light | OnOff.OnOff = False
[2026-07-15T07:26:17] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-15T07:26:17] front_door_lock | DoorLock.LockState = 2
[2026-07-15T07:26:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-15T07:26:28] front_door_lock | DoorLock.LockState = 1
[2026-07-15T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T16:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-15T16:05:00] front_door_lock | DoorLock.LockState = 2
[2026-07-15T17:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-15T17:55:00] front_door_lock | DoorLock.LockState = 2
[2026-07-15T17:55:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T18:40:00] kitchen_light | OnOff.OnOff = True
[2026-07-15T19:25:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T20:55:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T21:50:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T21:50:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:10:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:10:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:24:22] front_door_contact | BooleanState.StateValue = True
[2026-07-15T22:24:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-15T22:24:23] front_door_lock | DoorLock.LockState = 1
[2026-07-15T22:30:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:30:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:34:08] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:35:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:37:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:48:25] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T22:50:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:50:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:54:08] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:55:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:57:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-15T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T23:25:00] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的家庭晚间活动模式，包括离家锁门、夜间室内活动及睡前准备，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 分析入户门锁事件，07:26 和 16:05 的 LockOperationType=1 (Lock) 配合 DoorLock.LockState=2 (Locked) 表明住户正常离家并锁门；22:24 的 LockOperationType=0 (Unlock) 配合 DoorLock.LockState=1 (Unlocked) 且随后 door_contact 变为 True (开门)，符合回家开门的正常逻辑。",
    "推理步骤 2: 检查 occupancy_sensor 数据，21:50 开始 living_room 和 entrance 检测到有人，随后在 22:34-22:57 期间 kids_room, master_bedroom, dining_room 等房间依次检测到人员，时间线连贯，符合家庭成员从客厅进入各房间休息的自然流动，无异常闯入迹象。",
    "推理步骤 3: 验证厨房设备状态，kitchen_light 在 22:25 开启，此时 living_room 仍有人员活动，可能是家人返回厨房或准备晚餐/夜宵，属于正常生活行为，未触发烟雾报警或灶具异常关闭等危险信号。"
  ],
  "key_evidence": [
    "22:24 前门锁已锁定，22:24 解锁后紧接着 door_contact 变真，符合回家流程。",
    "21:50 至 22:57 期间多个房间（客厅、玄关、儿童房、主卧、餐厅）按顺序检测到人员存在，轨迹合理。",
    "全时段无烟雾报警器、漏水传感器或窗户非法开启的报警记录。"
  ],
  "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，确认夜间睡眠期间所有门窗保持锁定状态。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_light_1, living_room_window_contact
- 已选事件数: 94

## 跨天活动摘要
- 2026-07-11: living_room=196, bedroom=207, bathroom=51, kitchen=14, entrance=3

## 设备事件日志
[2026-07-11T08:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2528
[2026-07-11T08:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-11T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T08:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-07-11T08:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-11T08:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-11T08:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-11T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-11T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-07-11T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-11T09:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-07-11T09:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-11T09:19:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-11T09:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2438
[2026-07-11T09:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-07-11T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-11T09:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-11T09:28:07] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T09:30:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-11T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-07-11T09:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-07-11T09:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-11T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T09:30:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-07-11T09:31:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-07-11T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-11T09:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442
[2026-07-11T09:39:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-11T09:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-07-11T09:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-11T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-11T09:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-07-11T09:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-11T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-11T09:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2446
[2026-07-11T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-11T09:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-11T09:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T09:56:07] living_room_light_1 | OnOff.OnOff = True
[2026-07-11T09:56:14] living_room_ac | OnOff.OnOff = True
[2026-07-11T09:56:14] living_room_ac | Thermostat.SystemMode = 3
[2026-07-11T09:56:24] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-07-11T09:58:07] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T09:59:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2560
[2026-07-11T10:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-07-11T10:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-11T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-11T10:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2452
[2026-07-11T10:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-11T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-11T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-11T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-07-11T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-11T10:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-07-11T10:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-11T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-07-11T10:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2440
[2026-07-11T10:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-11T10:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:19:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-07-11T10:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-11T10:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-07-11T10:28:07] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-11T10:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-07-11T10:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-11T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-11T10:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2446
[2026-07-11T10:36:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:39:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-07-11T10:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-07-11T10:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-11T10:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-07-11T10:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-11T10:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-11T10:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-07-11T10:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-07-11T10:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2535
[2026-07-11T10:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T11:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-11T11:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-11T11:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T11:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2533
[2026-07-11T11:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-11T11:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2535
[2026-07-11T11:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-11T11:36:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T11:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的早晨起床及居家活动模式。",
  "reasoning": [
    "1. 人员活动轨迹符合逻辑：09:19 卧室有人（Occupancy=1），随后在 09:56 客厅出现活动并开启灯光和空调，表明住户从卧室移动到客厅开始日常活动，时间线连贯。",
    "2. 设备操作行为正常：09:56 开启客厅灯和空调（制冷模式 SystemMode=3），且窗帘位置设为 0%（通常表示完全打开或关闭，结合早晨光线需求，若为遮光帘则可能为关闭以调节光线，或为百叶窗全开，此处无矛盾），符合夏季早晨（7月）居家习惯。",
    "3. 传感器数据稳定：温度读数在 24-25°C 左右波动，属于正常室内环境温度范围，无剧烈跳变或异常数值（如传感器故障导致的极值）。",
    "4. 门窗状态一致：客厅窗户传感器在 10:05 显示 False（通常代表关闭/闭合），与开启空调的行为相符，不存在开窗制冷的能源浪费或安全隐患。"
  ],
  "key_evidence": [
    "[09:19] bedroom_occupancy = 1 (确认人员在卧室)",
    "[09:56] living_room_occupancy = 1, living_room_light_1 = True, living_room_ac = True (人员移动至客厅并启动舒适设备)",
    "[10:05] living_room_window_contact = False (窗户关闭，配合空调使用)"
  ],
  "recommended_actions": [
    "无需采取任何行动，系统运行正常。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-07-11T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:05:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-11T07:05:05] front_door_lock | DoorLock.LockState = 2
[2026-07-11T07:05:07] front_door_contact | BooleanState.StateValue = False
[2026-07-11T07:05:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T07:05:09] front_door_contact | BooleanState.StateValue = True
[2026-07-11T07:05:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-11T07:05:10] front_door_lock | DoorLock.LockState = 1
[2026-07-11T07:25:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T07:29:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T07:45:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T07:49:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T07:50:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T07:55:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-11T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-11T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-11T08:05:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T08:09:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T08:10:00] bedroom_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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的居家活动模式，包括早晨起床、短暂外出及返回，未发现安全威胁。",
  "reasoning": [
    "1. 分析早晨活动序列：07:05 门锁解锁并开门（LockState 2->1），随后玄关 occupancy 变为 1，符合老人早起出门或活动的正常行为。",
    "2. 分析外出与返回逻辑：08:02 门锁再次锁定（LockState 2）且门磁关闭，表明有人离开；紧接着 08:03 门锁解锁（LockState 1）且门磁打开，08:05 玄关 occupancy 再次激活，表明住户在极短时间内（约3分钟）返回家中。对于独居老人而言，这可能是取快递、扔垃圾或忘记带物品后折返，属于常见的生活场景。",
    "3. 综合环境状态：活动期间厨房、卧室等区域均有 occupancy 传感器触发，证明屋内有人移动，排除了设备故障或无人居住的情况。整个时间线逻辑连贯，无暴力破解、长时间未关门或异常入侵迹象。"
  ],
  "key_evidence": [
    "07:05:05 - 07:05:10: 门锁手动解锁->开门->进入->关门->上锁的完整序列",
    "08:02:00 - 08:05:08: 门锁上锁->快速解锁->开门->进入的短时往返序列",
    "各房间 Occupancy 传感器随时间变化，显示人员在家中的正常流动轨迹"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议保持常规监控，若此类‘短时外出’频率异常增加，可关注老人是否有认知障碍风险。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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
- 已选事件数: 32

## 设备事件日志
[2026-08-12T07:11:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-12T07:11:26] front_door_contact | BooleanState.StateValue = False
[2026-08-12T07:11:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-12T16:14:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-12T16:14:02] front_door_contact | BooleanState.StateValue = False
[2026-08-12T18:13:00] front_door_lock | DoorLock.LockState = 2
[2026-08-12T18:53:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:13:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:29:02] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T19:33:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:33:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:34:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:38:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:42:00] kitchen_dishwasher | OnOff.OnOff = True
[2026-08-12T19:42:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-08-12T19:54:02] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:58:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:59:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-12T20:02:51] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-12T20:03:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-12T20:14:02] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:18:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:18:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:19:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:23:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:32:51] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T20:34:02] kids_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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的家庭晚间活动模式。",
  "reasoning": [
    "1. 门锁状态分析：20:02 时入户门锁状态为 Locked (LockState=2)，且在此前无解锁记录（最近的解锁操作在早上 07:11），表明大门处于关闭且上锁的安全状态，无非法入侵迹象。",
    "2. 人员活动轨迹合理性：从 19:30 到 20:34，多个房间（儿童房、主卧、客厅、餐厅）的运动传感器持续触发 Occupancy=1，符合家庭成员在晚间聚集在公共区域或各自房间进行正常活动的特征。",
    "3. 设备联动逻辑正常：20:03 玄关运动传感器触发后，紧接着 20:04 玄关灯开启，这是典型的自动化场景响应，进一步佐证了有人在家且行为正常。",
    "4. 无异常时间窗口：所有事件均发生在傍晚至夜间时段（18:53-20:34），属于常规居家活动时间，未发现深夜异常闯入或长时间无人却频繁触发的异常情况。"
  ],
  "key_evidence": [
    "front_door_lock | DoorLock.LockState = 2 (20:02:00) - 确认大门已锁",
    "entrance_light | OnOff.OnOff = True (20:04:00) - 灯光随人体感应正常开启",
    "Multiple occupancy sensors active in living_room, master_bedroom, kids_room between 19:30 and 20:34 - 多房间人员活动正常"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统运行正常。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 29

## 跨天活动摘要
- 2026-08-13: entrance=234, bedroom=242, kitchen=239, living_room=208, bathroom=60

## 设备事件日志
[2026-08-13T06:53:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-13T06:53:05] front_door_lock | DoorLock.LockState = 2
[2026-08-13T06:53:07] front_door_contact | BooleanState.StateValue = False
[2026-08-13T06:53:14] front_door_contact | BooleanState.StateValue = True
[2026-08-13T06:53:15] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-13T06:53:15] front_door_lock | DoorLock.LockState = 1
[2026-08-13T08:37:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-13T08:37:00] front_door_lock | DoorLock.LockState = 2
[2026-08-13T08:37:02] front_door_contact | BooleanState.StateValue = False
[2026-08-13T18:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T18:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:19:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:19:15] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:21:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:29:48] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T19:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:38:04] living_room_light | LevelControl.CurrentLevel = 24
[2026-08-13T19:39:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:41:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:43:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:59:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:59:48] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T20:01:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-13T20:03:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-13T20:04:00] entrance_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人在傍晚时段正常回家、开门、开灯及在屋内活动，符合正常的居家生活行为模式，未发现安全威胁。",
  "reasoning": [
    "1. 回家行为分析：20:02 门锁状态变为锁定(LockState=2)，20:03 门磁传感器显示门关闭(BooleanState=False)，随后20:04 玄关灯开启(OnOff=True)。这一序列（开锁/进门 -> 关门 -> 开灯）是典型的归家流程，且时间（20:00左右）对于独居老人来说是合理的晚间活动时间。",
    "2. 室内活动连续性：从18:32开始，玄关运动传感器多次触发，随后19:19至20:03期间，卧室、客厅、厨房、卫生间的运动传感器均有活跃记录。这表明住户在回家后一直在屋内不同房间之间移动，没有长时间静止或异常滞留，排除了跌倒后无法动弹或昏迷的可能性。",
    "3. 排除入侵特征：虽然20:02门锁上锁，但紧接着门磁显示关闭且灯光开启，说明是住户本人操作而非外部强行闯入。此外，全天无烟雾报警、漏水报警或一氧化碳报警等紧急事件触发。"
  ],
  "key_evidence": [
    "[2026-08-13T20:02:00] front_door_lock | DoorLock.LockState = 2 (门锁上锁)",
    "[2026-08-13T20:03:00] front_door_contact | BooleanState.StateValue = False (门已关闭)",
    "[2026-08-13T20:04:00] entrance_light | OnOff.OnOff = True (玄关灯开启)",
    "[2026-08-13T19:19:00 - 20:03:00] 多个房间 occupancy_sensor 持续触发 (证明人员在屋内正常活动)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控后续夜间活动，确保老人按时休息。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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
- 已选事件数: 28

## 设备事件日志
[2026-07-09T07:16:15] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-09T07:16:17] front_door_contact | BooleanState.StateValue = False
[2026-07-09T07:16:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-09T16:33:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-09T16:33:02] front_door_contact | BooleanState.StateValue = False
[2026-07-09T18:09:00] front_door_lock | DoorLock.LockState = 2
[2026-07-09T18:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:14:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:29:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:29:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T19:38:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:39:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-07-09T19:40:34] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T19:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:50:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:54:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:54:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:58:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-09T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-09T20:04:00] entrance_light | OnOff.OnOff = True
[2026-07-09T20:10:34] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T20:14:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:14:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:18:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:19:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:20:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示的是正常的家庭晚间活动模式，包括门锁操作、人员移动及设备启动，未检测到安全威胁或异常行为。",
  "reasoning": [
    "1. 门锁与门禁状态分析：日志中记录了多次门锁操作（07:16, 16:33）和门磁状态变化（False表示关闭/锁定）。特别是在20:02-20:03期间，门锁状态变为2（通常代表已锁定），紧接着门磁状态为False（门关闭），这符合住户回家或离家后正常锁门的逻辑闭环。",
    "2. 人员活动轨迹合理性：从18:54开始，玄关运动传感器被触发，随后人员依次出现在餐厅、客厅、儿童房、厨房（洗碗机启动）、主卧等区域。这种从入户到分散至各个生活区域的活动路径符合典型的晚间居家生活习惯。",
    "3. 设备联动正常：厨房洗碗机在19:39启动，结合此时段其他房间有人活动的情况，属于正常的家务行为。没有发现长时间无人却开启危险设备（如灶具）或门窗异常开启的情况。"
  ],
  "key_evidence": [
    "[2026-07-09T20:02:00] front_door_lock | DoorLock.LockState = 2 (门锁已锁定)",
    "[2026-07-09T20:03:00] front_door_contact | BooleanState.StateValue = False (门已关闭)",
    "[2026-07-09T19:39:05] kitchen_dishwasher | OperationalState.OperationalState = 1 (洗碗机正常工作)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续保持常规监控，确保门锁固件更新以维持最佳安全性。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}