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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 34

## 设备事件日志
[2026-08-23T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T06:00:09] kitchen_light | OnOff.OnOff = True
[2026-08-23T06:57:00] kitchen_light | OnOff.OnOff = False
[2026-08-23T06:57:08] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-23T06:57:08] front_door_lock | DoorLock.LockState = 2
[2026-08-23T06:57:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-23T06:57:12] front_door_lock | DoorLock.LockState = 1
[2026-08-23T08:32:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-23T08:32:00] front_door_lock | DoorLock.LockState = 2
[2026-08-23T09:52:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T11:04:00] kitchen_light | OnOff.OnOff = True
[2026-08-23T12:42:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T15:30:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T16:52:00] kitchen_light | OnOff.OnOff = True
[2026-08-23T18:20:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T20:45:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-23T20:45:08] front_door_lock | DoorLock.LockState = 1
[2026-08-23T21:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T22:12:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T22:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T22:32:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T22:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T22:45:05] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T22:46:17] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T22:47:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T22:52:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T22:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T23:05:05] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T23:07:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T23:12:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T23:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-08-23T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T23:25:00] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
{
  "is_anomaly": true,
  "confidence": "high",
  "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: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "标记为可疑远程开锁事件，建议核查账户凭证与远程授权。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 91

## 跨天活动摘要
- 2026-08-17: living_room=111, bedroom=63, bathroom=57, entrance=14, kitchen=8

## 设备事件日志
[2026-08-17T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2286
[2026-08-17T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-08-17T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T01:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-17T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2292
[2026-08-17T01:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-17T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-17T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-17T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-17T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-17T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-17T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2211
[2026-08-17T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-17T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-08-17T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2225
[2026-08-17T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-17T01:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2219
[2026-08-17T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-17T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-17T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2216
[2026-08-17T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-17T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-17T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2222
[2026-08-17T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2228
[2026-08-17T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-17T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-17T02:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2243
[2026-08-17T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-17T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-08-17T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-17T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2239
[2026-08-17T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-17T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-17T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-08-17T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-17T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-17T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-17T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-17T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2236
[2026-08-17T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-17T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-17T02:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-08-17T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-17T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-17T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-17T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-17T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-17T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-17T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-17T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-17T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-17T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-08-17T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-17T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-17T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-17T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-17T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-17T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-17T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-17T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-17T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-17T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2274
[2026-08-17T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-17T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-17T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-08-17T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-17T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-08-17T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-08-17T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-08-17T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-08-17T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2416
[2026-08-17T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T19:29:21] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:53:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T22:18:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T23:43:04] 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。

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

Rejected response:
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 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: 32

## 跨天活动摘要
- 2026-07-08: entrance=227, kids_room=231, master_bedroom=230, master_bathroom=222, dining_room=221, living_room=114

## 设备事件日志
[2026-07-08T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T07:44:05] kitchen_light | OnOff.OnOff = False
[2026-07-08T07:44:24] front_door_lock | DoorLock.LockState = 2
[2026-07-08T07:44:28] front_door_lock | DoorLock.LockState = 1
[2026-07-08T16:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-08T17:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-08T17:55:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T19:25:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T21:50:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:10:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:30:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:33:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:36:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:45:00] living_room_light_1 | OnOff.OnOff = False
[2026-07-08T22:45:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:45:36] front_door_contact | BooleanState.StateValue = True
[2026-07-08T22:45:37] front_door_lock | DoorLock.LockState = 1
[2026-07-08T22:49:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:56:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:00:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:00:19] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:02:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-08T23:20:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:20:19] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:22:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:25:00] kitchen_light | OnOff.OnOff = True
[2026-07-08T23:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T23:30:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:31:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:34:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
{
  "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": [
    "先出现远程解锁结果"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 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
- 2026-07-03: entrance=230, kids_room=228, master_bedroom=227, dining_room=220, living_room=113, master_bathroom=52

## 设备事件日志
[2026-07-03T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T06:38:04] kitchen_light | OnOff.OnOff = True
[2026-07-03T07:24:06] kitchen_light | OnOff.OnOff = False
[2026-07-03T07:24:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-03T07:24:27] front_door_lock | DoorLock.LockState = 2
[2026-07-03T07:24:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-03T07:24:30] front_door_lock | DoorLock.LockState = 1
[2026-07-03T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T16:14:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-03T16:14:00] front_door_lock | DoorLock.LockState = 2
[2026-07-03T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-03T18:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-03T18:47:00] kitchen_light | OnOff.OnOff = True
[2026-07-03T19:31:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T21:01:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T21:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T21:51:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T22:11:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T22:11:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T22:21:21] front_door_contact | BooleanState.StateValue = True
[2026-07-03T22:21:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-03T22:21:22] front_door_lock | DoorLock.LockState = 1
[2026-07-03T22:31:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T22:31:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T22:34:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T22:35:03] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T22:36:06] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T22:39:14] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T22:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T22:51:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T22:54:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T22:55:03] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T22:56:06] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-03T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T23:25:00] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

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

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


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

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

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

## 家庭环境信息
家庭布局: 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
- 2026-08-06: entrance=229, kids_room=233, master_bedroom=227, dining_room=224, living_room=114, master_bathroom=56

## 设备事件日志
[2026-08-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T07:32:08] kitchen_light | OnOff.OnOff = False
[2026-08-06T07:32:35] front_door_lock | DoorLock.LockState = 2
[2026-08-06T07:32:39] front_door_lock | DoorLock.LockState = 1
[2026-08-06T16:32:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-06T17:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-06T17:55:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T19:25:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T21:50:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T22:10:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T22:30:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T22:34:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T22:37:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T22:40:00] living_room_light_1 | OnOff.OnOff = False
[2026-08-06T22:40:09] living_room_ac | OnOff.OnOff = False
[2026-08-06T22:40:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-08-06T22:40:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-06T22:40:24] master_bedroom_light | OnOff.OnOff = False
[2026-08-06T22:45:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T22:50:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T22:50:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T22:54:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:05:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:07:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:10:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:10:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:14:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-08-06T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:25:00] kitchen_light | OnOff.OnOff = True
[2026-08-06T23:30:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:30:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:34:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:35:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:37:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:50:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:50:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:54:02] dining_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 35

## 跨天活动摘要
- 2026-07-28: entrance=230, living_room=110, bathroom=55, master_bedroom=48, second_bedroom=48, kitchen=9

## 设备事件日志
[2026-07-28T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T07:04:18] kitchen_light | OnOff.OnOff = True
[2026-07-28T07:35:00] kitchen_light | OnOff.OnOff = False
[2026-07-28T07:35:09] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-28T07:35:09] front_door_lock | DoorLock.LockState = 2
[2026-07-28T07:35:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-28T07:35:19] front_door_lock | DoorLock.LockState = 1
[2026-07-28T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T18:23:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-28T18:23:00] front_door_lock | DoorLock.LockState = 2
[2026-07-28T19:10:00] kitchen_light | OnOff.OnOff = True
[2026-07-28T19:33:11] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T20:56:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T21:48:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T21:51:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T22:08:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T22:11:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T22:13:08] entrance_light | OnOff.OnOff = False
[2026-07-28T22:13:26] front_door_contact | BooleanState.StateValue = True
[2026-07-28T22:13:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-28T22:13:27] front_door_lock | DoorLock.LockState = 1
[2026-07-28T22:28:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T22:31:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T22:34:53] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T22:48:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T22:51:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T23:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T23:04:53] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T23:08:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T23:11:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-28T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T23:25:00] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
{
  "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": [
    "先出现远程解锁结果"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 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: 31

## 跨天活动摘要
- 2026-07-08: entrance=233, master_bedroom=232, kids_room=231, master_bathroom=225, dining_room=218, living_room=114

## 设备事件日志
[2026-07-08T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T07:11:09] kitchen_light | OnOff.OnOff = False
[2026-07-08T07:11:20] front_door_lock | DoorLock.LockState = 2
[2026-07-08T07:11:25] front_door_lock | DoorLock.LockState = 1
[2026-07-08T16:24:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-08T17:59:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-08T17:59:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T19:29:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T21:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:22:24] front_door_contact | BooleanState.StateValue = True
[2026-07-08T22:22:25] front_door_lock | DoorLock.LockState = 1
[2026-07-08T22:24:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:34:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:37:12] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:44:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T22:57:12] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T23:03:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:04:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:04:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-08T23:23:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:24:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:24:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:25:00] kitchen_light | OnOff.OnOff = True
[2026-07-08T23:32:12] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:34:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T23:34:05] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
{
  "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": [
    "先出现远程解锁结果"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light_1
- 已选事件数: 13

## 设备事件日志
[2026-08-16T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-16T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-16T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-16T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T04:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T10:02:05] living_room_light_1 | OnOff.OnOff = True
[2026-08-16T23:04:00] living_room_light_1 | OnOff.OnOff = False
[2026-08-16T23:04:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-16T23:04:35] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

Rejected response:
{
  "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": [
    "门锁状态先解锁再回锁"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 137

## 跨天活动摘要
- 2026-07-01: living_room=112, master_bedroom=232, kids_room=231, entrance=226, dining_room=223, master_bathroom=55
- 2026-07-02: living_room=111, master_bedroom=231, entrance=229, kids_room=228, dining_room=224, master_bathroom=51
- 2026-07-03: living_room=117, entrance=231, master_bedroom=228, kids_room=227, dining_room=221, master_bathroom=54

## 设备事件日志
[2026-07-01T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-07-01T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-01T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-01T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-01T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-01T02:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-01T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-01T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-01T02:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-01T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-01T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-01T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-01T02:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-01T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-01T03:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-01T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-01T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-01T03:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-01T03:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-01T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-01T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-01T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-01T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-01T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-01T03:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-01T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-07-01T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-01T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-07-01T04:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-01T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-07-01T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2419
[2026-07-01T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2432
[2026-07-01T07:49:06] kitchen_light | OnOff.OnOff = False
[2026-07-02T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-02T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-02T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-02T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-02T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-02T02:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-02T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-02T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-02T02:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-02T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-02T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-02T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-02T02:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-02T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-02T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T03:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-02T03:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-02T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-02T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-02T03:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-02T03:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-02T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-02T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-02T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T03:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-02T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-02T03:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-07-02T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-02T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-02T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-07-02T04:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-02T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-07-02T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2418
[2026-07-02T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2434
[2026-07-02T07:28:06] kitchen_light | OnOff.OnOff = False
[2026-07-03T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-03T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-03T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-03T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-03T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-03T02:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-03T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-03T02:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-03T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-03T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-03T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-03T02:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-03T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-03T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T03:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-03T03:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-03T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-03T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-03T03:15:00] kitchen_light | OnOff.OnOff = True
[2026-07-03T03:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-03T03:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-03T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-03T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-03T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T03:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-03T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-03T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-03T03:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-07-03T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-03T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-03T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-03T04:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409
[2026-07-03T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-03T04:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-03T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-07-03T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2438
[2026-07-03T06:59:09] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "连续多天同一时段出现陌生运动模式",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "标记为重复异常夜间活动，建议排查入侵或异常访客。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-08-05T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-05T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-05T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-05T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T07:28:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-05T07:28:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-05T16:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-05T18:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
{
  "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": [
    "门锁状态先解锁再回锁"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-07-22T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-22T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-22T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-22T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-22T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-22T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-22T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-22T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-22T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-22T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-22T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-22T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-22T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-22T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-22T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-22T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-22T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-22T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-22T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-22T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-22T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-22T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-22T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-22T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-22T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-22T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-22T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-22T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T19:32:20] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T20:57:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T22:22:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T23:47:08] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

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


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

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

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

## 家庭环境信息
家庭布局: 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, living_room_light_1
- 已选事件数: 24

## 设备事件日志
[2026-08-07T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-07T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-07T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-07T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T07:42:35] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-07T07:42:42] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-07T15:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-07T18:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

Rejected response:
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "门锁状态变化但没有对应开门链路",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "判为异常门锁状态切换，建议核查锁日志与物理门状态。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 95

## 跨天活动摘要
- 2026-08-01: living_room=196, bedroom=209, bathroom=59, kitchen=14, entrance=3

## 设备事件日志
[2026-08-01T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-08-01T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2296
[2026-08-01T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T01:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-01T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-08-01T01:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-08-01T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-01T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-01T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-01T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-01T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-01T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-01T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2217
[2026-08-01T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-01T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-01T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2216
[2026-08-01T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-01T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-01T01:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2214
[2026-08-01T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-01T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-01T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2219
[2026-08-01T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-01T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-01T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2222
[2026-08-01T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-01T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-01T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2223
[2026-08-01T02:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2232
[2026-08-01T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-01T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-01T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2233
[2026-08-01T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-01T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2239
[2026-08-01T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-01T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-01T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2251
[2026-08-01T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-01T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-01T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-01T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-01T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-01T02:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2250
[2026-08-01T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-01T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-01T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-01T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-01T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-08-01T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-01T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-01T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-01T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-01T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-01T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-08-01T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-01T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-08-01T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-01T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-01T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-01T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-01T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-01T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-01T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-01T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2275
[2026-08-01T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-01T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-01T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-08-01T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-08-01T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-08-01T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-01T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-08-01T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-08-01T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-08-01T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2413
[2026-08-01T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-08-01T10:47:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T13:22:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T15:57:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T18:32:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T21:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T23:42:00] 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。

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

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 38

## 设备事件日志
[2026-07-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T06:46:07] kitchen_light | OnOff.OnOff = True
[2026-07-10T07:42:03] kitchen_light | OnOff.OnOff = False
[2026-07-10T07:42:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-10T07:42:27] front_door_lock | DoorLock.LockState = 2
[2026-07-10T07:42:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-10T07:42:35] front_door_lock | DoorLock.LockState = 1
[2026-07-10T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T16:35:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-10T16:35:00] front_door_lock | DoorLock.LockState = 2
[2026-07-10T17:54:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-10T17:54:00] front_door_lock | DoorLock.LockState = 2
[2026-07-10T17:54:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T18:48:00] kitchen_light | OnOff.OnOff = True
[2026-07-10T19:24:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T20:54:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T22:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T22:09:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T22:29:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T22:29:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T22:43:00] living_room_light_1 | OnOff.OnOff = False
[2026-07-10T22:43:07] living_room_ac | OnOff.OnOff = False
[2026-07-10T22:43:12] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T22:43:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-07-10T22:43:27] front_door_contact | BooleanState.StateValue = True
[2026-07-10T22:43:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-10T22:43:28] front_door_lock | DoorLock.LockState = 1
[2026-07-10T22:43:30] master_bedroom_light | OnOff.OnOff = False
[2026-07-10T22:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T22:49:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T23:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T23:03:12] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T23:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T23:09:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-10T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T23:25:00] kitchen_light | OnOff.OnOff = True

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

Rejected response:
{
  "is_anomaly": true,
  "confidence": "high",
  "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: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "标记为可疑远程开锁事件，建议核查账户凭证与远程授权。"
  ]
}