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: 101

## 跨天活动摘要
- 2026-07-10: living_room=113, bedroom=64, bathroom=55, entrance=14, kitchen=8

## 设备事件日志
[2026-07-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2285
[2026-07-10T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2295
[2026-07-10T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T01:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-07-10T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-07-10T01:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-07-10T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-10T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-10T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-07-10T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-10T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-07-10T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-07-10T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2209
[2026-07-10T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-10T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-10T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2211
[2026-07-10T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-10T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-10T01:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2223
[2026-07-10T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-10T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-10T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2217
[2026-07-10T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-10T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-10T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2224
[2026-07-10T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-10T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-10T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2232
[2026-07-10T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-10T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-10T02:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2227
[2026-07-10T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-10T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-10T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2246
[2026-07-10T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-10T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2244
[2026-07-10T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-10T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-07-10T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-10T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-10T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-10T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-10T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2238
[2026-07-10T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-10T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-10T02:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-07-10T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-10T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-10T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-07-10T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-10T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-10T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-07-10T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-10T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-10T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-10T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-10T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-07-10T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-10T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-10T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-07-10T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-10T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-10T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-07-10T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-10T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-10T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-07-10T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-10T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-10T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-07-10T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-10T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-10T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-10T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-10T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-10T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-10T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-07-10T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-10T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-07-10T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-07-10T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2415
[2026-07-10T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T19:15:14] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T20:40:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T22:05:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T23:30:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T23:50:06] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "凌晨时段（02:34-04:10）客厅温度异常急剧升高，且伴随窗户被打开但无人活动的情况，存在严重的火灾隐患。",
  "reasoning": [
    "推理步骤 1: 时间与环境分析。日志显示在 2026-07-10T02:34:00 至 04:10:00 期间，客厅温度从约 23.3°C (2337mK) 持续攀升至 24.15°C (2415mK)，升温速率极快（约 0.8°C/小时），远超正常环境波动范围。",
    "推理步骤 2:  occupancy 与状态矛盾。在温度急剧上升的整个过程中（02:34 - 04:10），客厅运动传感器（living_room_occupancy）多次报告为 0（无人），且卧室和卫生间也均为无人状态。这表明并非有人在家活动导致发热（如开暖气、做饭等）。",
    "推理步骤 3: 关键证据关联。在温度开始飙升前（02:31），客厅窗户传感器（living_room_window_contact）状态变为 False（打开）。结合“高温 + 无人 + 开窗”的模式，高度疑似外部热源（如火灾烟雾或热浪）通过开启的窗户侵入室内，或者室内有未察觉的隐蔽火源正在燃烧并产生热量。考虑到夏季（7 月）和快速升温，外部火情蔓延进屋的可能性极大。",
    "推理步骤 4: 排除误报。虽然厨房温度也有轻微上升，但幅度远小于客厅，且厨房无人员活动记录，因此主要风险集中在客厅区域。这种非人为控制的快速升温是典型的火灾前兆或早期火灾特征。"
  ],
  "key_evidence": [
    "2026-07-10T02:31:00 客厅窗户被打开 (StateValue = False)。",
    "2026-07-10T02:34:00 至 04:10:00 期间，客厅温度在 35 分钟内上升近 1°C (2337mK -> 2415mK)，而同期运动传感器持续报告无人 (Occupancy = 0)。",
    "同一时间段内，卧室和卫生间均无人员活动，排除了内部人为加热源的可能性。"
  ],
  "recommended_actions": [
    "立即触发全屋声光警报，通知住户家中可能存在火情。",
    "自动向住户手机发送最高级别紧急通知，包含实时温度曲线截图。",
    "建议住户若无法确认安全，切勿返回室内，应立即撤离并拨打消防电话。",
    "系统应尝试远程关闭客厅空调（如果检测到过热保护逻辑）以防止火势助燃，并准备联动烟感报警器进行二次确认。"
  ]
}
```


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

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

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

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

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

## 跨天活动摘要
- 2026-07-19: balcony=2, living_room=49, master_bedroom=48, second_bedroom=48, bathroom=48, entrance=48

## 设备事件日志
[2026-07-19T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-07-19T01:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2296
[2026-07-19T01:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-19T01:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2296
[2026-07-19T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-07-19T01:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-19T01:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-07-19T01:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-07-19T01:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-19T01:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-19T01:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-19T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T01:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-19T01:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-07-19T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-19T01:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-19T01:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-19T01:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-19T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-19T01:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-19T01:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-19T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-19T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-19T01:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-19T01:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-19T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-19T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-19T01:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-19T01:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-19T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-19T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-19T02:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-19T02:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-19T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-19T02:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-19T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-19T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-19T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-19T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-19T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-19T02:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-19T02:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-19T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-19T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-19T02:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-19T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-19T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-19T02:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-19T02:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-19T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-19T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-19T02:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-19T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-19T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-19T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-19T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-19T02:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-19T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-19T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-19T02:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-19T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-19T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-19T02:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-19T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-19T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-19T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-19T02:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-19T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-19T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-19T02:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-19T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-19T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-19T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-19T02:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-19T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-19T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T11:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T19:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T23:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_drift",
  "threat_description": "检测到室内温度传感器读数严重偏离物理现实（显示为 2300+ 而非 23.x），且伴随异常的时间序列波动，表明传感器数据漂移或固件故障。",
  "reasoning": [
    "推理步骤 1: 分析日志中的温度数据，发现所有房间的温度传感器（living_room, master_bedroom, second_bedroom, kitchen）在 01:20 至 03:00 期间报告的值均在 2296 到 2368 之间。",
    "推理步骤 2: 结合常识判断，家庭环境温度通常在 -10°C 到 50°C 之间，Matter 协议中 TemperatureMeasurement.MeasuredValue 通常以 0.01°C 为单位，因此正常值应为 2300-2350 左右（即 23.00°C-23.50°C）。然而，日志中的数值变化幅度极大（例如从 2296 跳到 2368），且呈现无规律的锯齿状波动，这不符合空调运行或自然升温的物理规律。",
    "推理步骤 3: 虽然在此期间有人员活动（阳台门打开、客厅有人），但温度并未随人员进入而显著上升，反而出现剧烈震荡。这种‘数值溢出’或‘单位错误’导致的虚假高报/低报是典型的传感器漂移（Sensor Drift）或校准失效现象，可能导致误触发火灾报警或错误的 HVAC 控制逻辑。"
  ],
  "key_evidence": [
    "2026-07-19T02:55:00 厨房温度传感器报告值为 2368 (即 23.68°C)，但在前一分钟仅为 2354，随后又跳变，缺乏合理的物理热惯性解释。",
    "所有房间温度传感器在同一时间段内同步出现类似的非物理性数值跳动（如 2296 -> 2308 -> 2320...），排除了单一设备故障的可能性，指向系统级数据解析错误或批量传感器校准丢失。"
  ],
  "recommended_actions": [
    "立即检查所有温度传感器的硬件连接和供电状态，排除接触不良导致的信号噪声。",
    "在 Matter 控制器端重置相关设备的温度测量 Cluster 属性，重新进行校准流程。",
    "暂时禁用依赖这些温度数据的自动化场景（如高温自动开窗、低温自动开空调），防止因错误数据导致的安全隐患或能源浪费。",
    "联系设备制造商获取固件更新，确认是否存在已知的温度读取 Bug。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_light, living_room_occupancy
- 已选事件数: 101

## 跨天活动摘要
- 2026-07-04: balcony=2, living_room=193, bathroom=53, entrance=51, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-07-04T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-07-04T01:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-04T01:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-04T01:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-04T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-04T01:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-04T01:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-04T01:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-07-04T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-07-04T01:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-04T01:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-04T01:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-04T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-07-04T01:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-04T01:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-07-04T01:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-04T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-04T01:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-07-04T01:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-04T01:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-04T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-04T01:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-04T01:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-04T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-04T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-04T01:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-04T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-04T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-04T01:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-04T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-04T02:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-04T02:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-04T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-04T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-04T02:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-04T02:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-04T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-04T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-04T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-04T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-04T02:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-04T02:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-04T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-04T02:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-04T02:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-04T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-04T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-04T02:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-04T02:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-04T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-04T02:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-04T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-04T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-04T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-04T02:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-04T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-04T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-04T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-04T02:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-04T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-04T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-04T02:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-04T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-04T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-04T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-04T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-04T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-04T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-04T02:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-04T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-04T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-04T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-04T02:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-04T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-04T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T10:59:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T16:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:44:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T21:19:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T23:54:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "阳台门深夜打开且室内无对应活动",
  "reasoning": [
    "推理步骤1: 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": [
    "判定为高风险边界入侵，建议立即检查阳台出入口。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-07-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-13T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-13T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-13T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T07:41:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间离家模式及次日早晨手动上锁行为，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 02:11 分检测到入户门锁状态变为'2'（通常代表解锁或开启），同时门接触传感器状态为 False（门打开）。这是典型的住户开门离家的行为特征。",
    "推理步骤 2: 紧随其后在 02:12 分玄关灯自动亮起，符合‘开门亮灯’的自动化场景逻辑，且随后客厅运动传感器在 02:13 分检测到有人（可能是住户经过客厅），进一步证实了有人活动的真实性，排除了传感器故障或误报。",
    "推理步骤 3: 住户在 02:30 分离开客厅区域后，所有房间（包括客厅、餐厅、卧室等）的运动传感器均报告无人状态，表明住户已完全离开家中并处于正常睡眠或休息状态。",
    "推理步骤 4: 次日早上 07:41 分记录到一次手动锁门操作（LockOperationType=1, OperationSource=Manual），这是住户出门前的正常安全习惯，确认了门锁功能正常且被正确使用。"
  ],
  "key_evidence": [
    "02:11 门锁开启与门接触传感器触发时间紧密相连，符合物理开门逻辑。",
    "02:12 玄关灯自动开启响应了开门事件，验证了设备联动正常。",
    "02:30 全房运动传感器转为无人状态，确认了住户已彻底离场。",
    "07:41 存在明确的手动上锁记录，证明住户具备安全意识且门锁机制有效。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，当前系统运行正常。",
    "建议继续保持对夜间离家模式和晨间上锁行为的监控，作为基准线数据。"
  ]
}
```


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

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

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

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

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

## 设备事件日志
[2026-08-08T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-08T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-08T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-08T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T10:14:04] living_room_light_1 | OnOff.OnOff = True
[2026-08-08T23:12:00] living_room_light_1 | OnOff.OnOff = False
[2026-08-08T23:12:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-08T23:12:35] 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。

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示的是正常的夜间离家模式及次日清晨的入户开门行为，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 03:00 至 04:00 期间，所有房间（包括玄关、客厅、卧室、卫生间）的运动传感器均报告 Occupancy = 0，且玄关灯未开启，符合家庭夜间无人活动的正常状态。",
    "推理步骤 2: 04:06 门锁状态变为 2（解锁），随后在 04:07 变为 1（锁定）。考虑到此时为凌晨 4 点，住户可能是在进行夜间如厕或短暂外出后返回并重新锁门，或者这是系统自动/手动的一次性操作，但紧接着 04:09 客厅灯被打开，表明有人进入室内活动，这解释了门锁先开后关再开灯的逻辑连贯性（例如：进门 -> 关门 -> 开灯，或者开门查看 -> 关门 -> 再次开门进屋开灯）。更合理的解释是：住户在凌晨 4 点左右起床，打开门锁进入，然后关闭门锁（可能是误触或习惯），随即打开客厅灯开始活动。",
    "推理步骤 3: 白天时段（10:14）客厅灯再次开启，晚上 23:12 关灯，23:12:35 执行手动锁门操作。这一系列事件完全符合典型的‘回家 - 休息 - 睡觉’的生活作息规律，时间点和设备联动逻辑正常，无入侵、尾随或设备故障迹象。",
    "推理步骤 4: 关键证据中，门锁操作源明确标记为 'Manual'（手动），且前后有明确的 occupancy 变化支持人员在场，排除了自动化攻击或传感器卡死的可能性。"
  ],
  "key_evidence": [
    "04:06-04:07 门锁状态变化紧随其后 04:09 客厅灯开启，符合人员进出逻辑。",
    "23:12:35 门锁操作源为 Manual，且发生在关灯之后，符合睡前锁门习惯。",
    "全时段各房间 occupancy 数据与灯光状态一致，无矛盾冲突。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，当前系统运行正常。",
    "建议用户确认 04:07 门锁自动/手动锁定的具体原因，若为意外触发可调整智能场景设置以避免频繁开关。"
  ]
}
```


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

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

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

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

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

## 跨天活动摘要
- 2026-08-14: living_room=211, bedroom=243, kitchen=239, entrance=229, bathroom=62

## 设备事件日志
[2026-08-14T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2293
[2026-08-14T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-14T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T01:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2290
[2026-08-14T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-08-14T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-14T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-14T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-14T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-14T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-14T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2218
[2026-08-14T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-14T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-14T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2221
[2026-08-14T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-14T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-14T01:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2226
[2026-08-14T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-14T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-14T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2233
[2026-08-14T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-14T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-14T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2232
[2026-08-14T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2227
[2026-08-14T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-14T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-14T02:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2240
[2026-08-14T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-14T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-14T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2238
[2026-08-14T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-14T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-14T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2243
[2026-08-14T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-14T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-14T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2239
[2026-08-14T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-14T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-14T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-14T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-14T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-14T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-14T02:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-14T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-14T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-14T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-08-14T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-14T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-14T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-14T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-14T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-14T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-14T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-14T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-08-14T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-14T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T03:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-14T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2274
[2026-08-14T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-14T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-14T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-14T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-14T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-08-14T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2280
[2026-08-14T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-14T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-14T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-14T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-14T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-14T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-14T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-08-14T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-08-14T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2408
[2026-08-14T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-08-14T09:46:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T12:36:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T15:21:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:11:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T21:01:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T23:51:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "凌晨时段检测到窗户被非法开启，随后室内温度持续异常升高且无人活动，存在极高的火灾或入侵后纵火风险。",
  "reasoning": [
    "推理步骤 1: 在凌晨 02:31 和 02:32，客厅 (living_room) 和卧室 (bedroom) 的窗户接触传感器状态变为 False（打开），此时所有房间的运动传感器均报告无人员活动 (Occupancy=0)，表明这是在住户熟睡时发生的非正常开窗行为。",
    "推理步骤 2: 从 02:34 开始，虽然运动传感器短暂检测到一次活动（可能是闯入者或宠物），但随后在 03:00、03:30、04:00 等多次时间点，全屋运动传感器再次全部归零，确认屋内已恢复无人状态。",
    "推理步骤 3: 最关键的异常在于温度数据：在无人活动的情况下，客厅温度从 02:35 的约 23.4°C 持续攀升至 04:10 的约 24.1°C（日志值 2410，单位应为 0.1°C）。对于独居老人家庭，夜间室温通常应下降或保持稳定，这种在无热源（空调/暖气未开启迹象）情况下的持续升温极有可能是外部热源（如入侵者使用明火、加热设备）导致的，符合火灾前兆特征。",
    "推理步骤 4: 结合独居老人的背景，夜间窗户被打开且伴随不明原因的室温上升，属于高危的安全威胁模式，不能简单视为环境波动。"
  ],
  "key_evidence": [
    "02:31-02:32 窗户传感器触发开启事件，而此时全屋 occupancy 为 0。",
    "02:34 之后出现短暂的 occupancy=1，但在 03:00 及后续多次检查中 occupancy 再次变为 0，显示屋内已空。",
    "在无人居住期间 (02:35 - 04:10)，客厅温度呈现单调递增趋势 (2338 -> 2410)，与正常夜间散热规律相反。"
  ],
  "recommended_actions": [
    "立即远程通知家属或紧急联系人，告知可能存在入侵或火灾隐患。",
    "若系统支持联动，尝试自动拨打当地消防部门或报警电话（需人工确认或预设紧急协议）。",
    "建议安保人员在白天尽快上门检查门窗锁具状态及室内是否有烟熏痕迹或异味。",
    "检查并重置相关传感器，排查是否存在传感器故障导致误报的可能性（尽管概率较低，因温度趋势明显）。"
  ]
}
```


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

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

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

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

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

## 设备事件日志
[2026-07-17T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-17T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-17T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-17T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:09:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-17T07:09:02] front_door_lock | DoorLock.LockState = 2
[2026-07-17T07:09:04] front_door_contact | BooleanState.StateValue = False
[2026-07-17T07:09:06] front_door_contact | BooleanState.StateValue = True
[2026-07-17T07:09:07] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-17T07:09:07] front_door_lock | DoorLock.LockState = 1
[2026-07-17T08:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-17T08:29:00] front_door_lock | DoorLock.LockState = 2
[2026-07-17T08:29:02] front_door_contact | BooleanState.StateValue = False
[2026-07-17T09:49:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T12:39:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:27:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T18:17:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T20:47:09] front_door_contact | BooleanState.StateValue = True
[2026-07-17T20:47:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-17T20:47:10] front_door_lock | DoorLock.LockState = 1
[2026-07-17T21:03:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T23:53:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的独居老人日间活动模式，无入侵或异常行为迹象。",
  "reasoning": [
    "推理步骤 1: 分析夜间时段 (00:00 - 07:00)，所有房间运动传感器持续报告无人 (Occupancy=0)，符合独居老人的睡眠习惯；凌晨 02:11 门锁解锁和开门事件发生在极短时间内且随后立即关门上锁，结合玄关灯开启，符合起夜如厕或短暂查看门口的正常行为，且未检测到后续人员滞留。",
    "推理步骤 2: 分析日间时段 (07:09 - 23:53)，门锁操作记录显示规律的出门 (07:09, 08:29) 和回家 (20:47) 行为，时间间隔合理，符合日常作息。",
    "推理步骤 3: 交叉验证发现，当入户门被打开时 (front_door_contact=False)，客厅运动传感器在合理延迟后 (约 2 分钟) 才检测到有人进入 (living_room_occupancy=1)，且离开时顺序一致，排除了尾随入侵或传感器故障的可能性。"
  ],
  "key_evidence": [
    "夜间全时段 (00:00-07:00) 所有区域 Occupancy 均为 0，符合睡眠状态。",
    "门锁操作序列完整：解锁 -> 开门 -> 关门 -> 上锁，且伴随灯光变化，逻辑自洽。",
    "日间活动轨迹清晰：早晨出门、白天外出、傍晚回家，无异常长时间停留或非法闯入痕迹。"
  ],
  "recommended_actions": [
    "继续监控，当前系统运行正常。",
    "建议保持现有报警阈值，无需调整策略。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 102

## 跨天活动摘要
- 2026-07-27: living_room=212, bedroom=244, kitchen=238, entrance=230, bathroom=61

## 设备事件日志
[2026-07-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-07-27T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2295
[2026-07-27T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T01:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-07-27T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2293
[2026-07-27T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-27T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-27T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-27T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-27T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-27T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-27T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2213
[2026-07-27T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-27T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-27T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2226
[2026-07-27T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-27T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-27T01:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2216
[2026-07-27T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-27T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-27T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2221
[2026-07-27T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-27T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2227
[2026-07-27T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-27T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-27T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2235
[2026-07-27T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-27T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-27T02:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2240
[2026-07-27T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-27T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-27T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2238
[2026-07-27T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-27T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-27T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-27T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-27T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-07-27T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-27T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-27T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-27T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-07-27T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-27T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-27T02:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-07-27T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-27T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-27T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-27T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-27T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2251
[2026-07-27T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-27T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-27T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-27T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-27T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-07-27T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-27T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-27T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-07-27T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-27T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-07-27T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-27T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-27T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273
[2026-07-27T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-27T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-27T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283
[2026-07-27T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-27T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-27T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-27T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-27T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-27T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-27T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-27T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-07-27T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-27T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-07-27T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-07-27T09:42:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T12:32:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:20:18] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T18:10:18] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T20:59:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T23:49:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "凌晨时段（02:31-04:10）客厅窗户被打开，且室内温度持续异常升高至约 24°C（2407 mK），而住户传感器显示无人在场，存在极高的火灾或高温安全隐患。",
  "reasoning": [
    "推理步骤 1: 时间与环境分析。日志显示在 2026-07-27 凌晨 02:31 分，living_room_window_contact 状态变为 False（打开）。此时为深夜，独居老人通常处于睡眠状态。",
    "推理步骤 2: 人员行为分析。在窗户打开后的短时间内（02:34），living_room_occupancy 曾短暂检测到人（Occupancy=1），但随后在 03:00、03:30、04:00 等多次连续报告中显示 Occupancy=0。这表明该人员可能已离开，或者传感器误报，导致房间处于‘无人值守’状态。",
    "推理步骤 3: 物理环境异常分析。最关键的异常在于温度数据。从 02:35 开始，living_room_temp_sensor 读数从正常的 23°C 左右开始急剧上升，并在 04:10 达到峰值 2407 mK (即 24.07°C)。考虑到夏季夜间室外温度通常较低，且空调未开启（假设默认关闭或节能模式），室内温度在无人的情况下持续攀升至接近人体体温甚至更高，这极不寻常。这种温升模式符合密闭空间内热源（如电器故障、线路过热起火初期）的特征，而非自然气温变化。",
    "推理步骤 4: 综合风险评估。窗户打开可能导致外部空气对流，但如果内部有持续热源，热量积聚会导致温度飙升。结合‘独居老人’这一脆弱群体背景，以及‘无人在场’时的‘高温 + 开窗’组合，高度怀疑发生了电气火灾风险或设备过热，且由于窗户打开和无人监测，烟雾报警器可能未能及时触发或未被注意。"
  ],
  "key_evidence": [
    "02:31 living_room_window_contact 变为 False (窗户打开)",
    "02:34 - 04:10 期间 living_room_occupancy 多次报告为 0 (无人)",
    "02:35 - 04:10 期间 living_room_temp_sensor 读数从 ~23°C 持续上升至 24.07°C (异常温升)"
  ],
  "recommended_actions": [
    "立即远程通知家属或紧急联系人，告知可能存在火灾隐患。",
    "检查客厅烟雾报警器是否已触发，确认是否有火情发生。",
    "建议物业或维修人员上门检查客厅空调、路由器或其他电子设备是否存在过热或短路故障。",
    "核实窗户开启原因，检查是否有小动物进入或人为疏忽。"
  ]
}
```


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
- 2026-07-09: entrance=228, kids_room=231, master_bedroom=230, dining_room=217, living_room=114, master_bathroom=54

## 设备事件日志
[2026-07-09T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T07:10:08] kitchen_light | OnOff.OnOff = True
[2026-07-09T07:42:02] kitchen_light | OnOff.OnOff = False
[2026-07-09T07:42:14] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-09T07:42:14] front_door_lock | DoorLock.LockState = 2
[2026-07-09T07:42:17] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-09T07:42:17] front_door_lock | DoorLock.LockState = 1
[2026-07-09T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T16:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-09T16:05:00] front_door_lock | DoorLock.LockState = 2
[2026-07-09T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T18:03:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-09T18:03:00] front_door_lock | DoorLock.LockState = 2
[2026-07-09T18:28:00] kitchen_light | OnOff.OnOff = True
[2026-07-09T19:28:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:58:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T21:48:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T21:48:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:08:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:08:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:28:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:28:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:32:28] front_door_contact | BooleanState.StateValue = True
[2026-07-09T22:32:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-09T22:32:29] front_door_lock | DoorLock.LockState = 1
[2026-07-09T22:35:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:35:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:37:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:40:31] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T22:48:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:48:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:55:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:55:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:57:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-09T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T23:25:00] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的家庭晚间活动模式，包括入户、用餐、休息及睡前锁门操作，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，用户在 07:42 离家（门锁锁定），随后在 16:05 和 18:03 两次返回家中并立即重新上锁，符合正常的工作/外出回家场景。",
    "推理步骤 2: 傍晚 18:28 开启厨房灯，紧接着 19:28 客厅有人出现，随后 21:48 玄关和客厅同时检测到人员，表明家庭成员陆续归家或在家内移动，行为连贯且合理。",
    "推理步骤 3: 夜间 22:32 检测到前门接触传感器触发（True），随即用户手动执行解锁操作（LockOperationType=0）并将门锁状态设为未锁定（1），这是典型的开门进入动作；随后在 23:18 门锁状态自动或手动变为锁定（2），符合睡前锁门的习惯。整个过程中 occupancy 数据与门锁状态变化逻辑一致，无异常滞留或非法入侵迹象。"
  ],
  "key_evidence": [
    "22:32 前门接触传感器触发后立即伴随手动解锁操作，证实为合法开门行为。",
    "23:18 门锁状态变为锁定（2），确认用户在睡前完成了安全锁闭程序。",
    "所有 occupancy 事件的时间分布与门锁开关时间吻合，呈现清晰的‘离家 - 回家 - 休息’生活节奏。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前的设备监控策略，定期审查此类跨天活动摘要以建立更精准的用户行为基线。"
  ]
}
```


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

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

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

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

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

## 设备事件日志
[2026-07-18T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-18T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-18T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T11:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T19:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "凌晨2点阳台门被打开且灯光亮起，同时客厅检测到有人活动，但其他卧室及入户区域无人员活动迹象，存在非法入侵或异常行为的高风险。",
  "reasoning": [
    "时间异常：事件发生在凌晨02:07-02:09，属于典型的深夜时段，此时住户通常处于睡眠状态，非正常活动时间。",
    "物理访问异常：阳台门传感器（balcony_door_contact）在02:07显示为False（即门被打开），紧接着阳台灯（balcony_light）在02:08开启，表明有人主动触发了照明并进入了阳台区域。",
    "人员分布矛盾：虽然客厅运动传感器（living_room_occupancy）在02:09检测到有人（Occupancy=1），但在同一时间段内，主卧、次卧、卫生间、玄关等所有其他区域的运动传感器均保持无人状态（Occupancy=0）。如果这是住户起夜，通常会经过玄关或在卫生间有活动；如果是访客从阳台潜入，则符合“仅阳台和客厅有活动”的特征，且避开了主要休息区，具有明显的入侵特征。"
  ],
  "key_evidence": [
    "[2026-07-18T02:07:00] balcony_door_contact | BooleanState.StateValue = False (阳台门开启)",
    "[2026-07-18T02:08:00] balcony_light | OnOff.OnOff = True (阳台灯开启)",
    "[2026-07-18T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1 (客厅有人)",
    "[2026-07-18T02:00:00 - 02:30:00] 所有卧室及入口传感器均为 Occupancy = 0 (无其他人员活动)"
  ],
  "recommended_actions": [
    "立即通过智能家居APP查看是否有关联的摄像头录像，确认阳台及客厅画面中的人员身份。",
    "若确认为陌生人入侵，请立即触发紧急报警并联系警方；若为住户误操作（如忘记关门），请远程锁定门窗并通知住户。",
    "检查阳台门锁具状态，确保物理锁已扣合，防止再次被轻易打开。"
  ]
}
```

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


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

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

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

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

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

## 设备事件日志
[2026-08-28T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-28T02:08:00] balcony_light | OnOff.OnOff = True
[2026-08-28T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T19:25:11] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T20:46:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:11:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:36:03] 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。

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "凌晨2点阳台门被打开且灯光亮起，同时客厅检测到人员活动，存在极高的非法入侵风险。",
  "reasoning": [
    "时间异常：事件发生在凌晨02:07至02:30之间，这是典型的深夜时段，绝大多数住户应处于睡眠状态，非正常活动时间。",
    "物理入口开启：日志显示 'balcony_door_contact' 在 02:07 变为 False（通常代表门从关闭变为打开），紧接着 'balcony_light' 在 02:08 开启。这表明有人主动打开了通往阳台的门并触发了照明。",
    "室内活动确认：在阳台门打开后仅2分钟（02:09），'living_room_occupancy' 检测到人（Occupancy = 1）。考虑到所有卧室传感器（主卧、次卧）和玄关传感器均保持无人状态，且该活动集中在客厅/阳台区域，这符合入侵者进入室内后的行为模式，而非住户起夜（通常会经过玄关或前往卫生间/卧室）。"
  ],
  "key_evidence": [
    "2026-08-28T02:07:00 balcony_door_contact | BooleanState.StateValue = False (阳台门打开)",
    "2026-08-28T02:08:00 balcony_light | OnOff.OnOff = True (阳台灯亮)",
    "2026-08-28T02:09:00 living_room_occupancy | OccupancySensing.Occupancy = 1 (客厅检测到人员)"
  ],
  "recommended_actions": [
    "立即触发家庭安全警报并通知住户及安保服务。",
    "检查阳台门锁的物理状态及是否有破坏痕迹。",
    "调取关联时间段内的监控录像（如有）以确认入侵者身份。"
  ]
}
```

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