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

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

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

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 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: SQ5
- 重点房间: living_room
- 重点设备: kitchen_smoke_alarm, living_room_smoke_alarm
- 已选事件数: 36

## 跨天活动摘要
- 2026-08-22: living_room=211, bedroom=241, kitchen=240, entrance=230, bathroom=57

## 设备事件日志
[2026-08-22T08:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-08-22T08:30:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T08:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-22T08:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-08-22T08:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-08-22T08:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-22T08:50:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-08-22T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-08-22T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-08-22T09:10:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-08-22T09:15:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:17:08] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-08-22T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-08-22T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-22T09:30:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-08-22T09:35:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:37:08] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:38:16] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-08-22T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-22T09:50:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-22T09:55:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:57:08] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T10:00:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = True
[2026-08-22T10:01:00] living_room_smoke_alarm | SmokeCoAlarm.TestInProgress = True
[2026-08-22T10:04:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = False
[2026-08-22T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-22T10:08:16] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 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 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 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: SQ4
- 重点房间: kitchen
- 重点设备: kitchen_cook_surface, kitchen_temp_sensor
- 已选事件数: 107

## 跨天活动摘要
- 2026-08-28: kitchen=13, entrance=232, master_bedroom=228, kids_room=228, dining_room=222, living_room=114

## 设备事件日志
[2026-08-28T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-08-28T06:52:40] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-28T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-08-28T16:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-08-28T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-28T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-28T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-28T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-28T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-28T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-28T18:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-28T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-28T18:01:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:03:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:03:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-28T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-28T18:06:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:08:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-28T18:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-28T18:12:00] kitchen_light | OnOff.OnOff = True
[2026-08-28T18:13:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-28T18:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-28T18:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-28T18:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-28T18:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-28T18:23:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:23:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-08-28T18:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-28T18:26:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:28:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-28T18:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-28T18:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T18:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-28T18:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-08-28T18:36:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-28T18:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-28T18:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-08-28T18:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-28T18:48:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:48:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-28T18:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-08-28T18:51:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-08-28T18:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-08-28T18:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2296
[2026-08-28T19:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2290
[2026-08-28T19:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T19:00:00] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-28T19:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-08-28T19:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-08-28T19:06:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:08:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:08:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-28T19:11:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2292
[2026-08-28T19:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-08-28T19:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2284
[2026-08-28T19:20:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-28T19:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2285
[2026-08-28T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-28T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2860
[2026-08-28T19:28:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:28:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:28:11] dining_room_light | OnOff.OnOff = True
[2026-08-28T19:29:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-28T19:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283
[2026-08-28T19:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-28T19:31:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:33:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:33:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:34:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-08-28T19:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-08-28T19:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-08-28T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2740
[2026-08-28T19:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-08-28T19:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-08-28T19:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-08-28T19:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-08-28T19:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-08-28T19:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-08-28T19:52:58] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T19:53:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:53:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-28T19:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2279
[2026-08-28T19:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:58:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T20:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-08-28T20:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-28T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T20:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-08-28T20:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-08-28T20:06:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T20:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-28T20:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-08-28T20:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-28T20:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-08-28T20:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T20:18:10] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请综合以下多个设备与环境状态，评估家庭整体安全状况，指出任何潜在风险。

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。


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

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

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

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 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]
- 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: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 36

## 设备事件日志
[2026-07-04T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T06:44:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T06:46:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T07:02:07] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-04T07:02:13] front_door_contact | BooleanState.StateValue = True
[2026-07-04T07:07:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T07:10:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-04T07:27:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T11:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T11:59:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:00:04] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T12:06:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:11:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:16:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:24:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-04T12:26:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:36:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:40:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-07-04T12:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:59:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:00:04] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T18:07:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:12:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:18:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:21:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:27:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:37:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:40:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-04T18:43:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:46:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:52:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:57:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T19:08:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T19:11:03] entrance_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 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]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 18

## 跨天活动摘要
- 2026-07-20: bathroom=58, bedroom=219, living_room=109, entrance=14, kitchen=8

## 设备事件日志
[2026-07-20T13:51:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T14:21:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T14:22:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T14:42:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T14:51:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T15:02:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-20T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-20T15:21:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T15:22:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T15:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-20T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T15:42:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T15:51:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T16:02:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 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 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 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: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 30

## 设备事件日志
[2026-08-14T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T06:45:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:01:07] kitchen_light | OnOff.OnOff = True
[2026-08-14T07:10:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-14T07:10:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-14T07:15:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:35:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:36:25] front_door_lock | DoorLock.LockState = 2
[2026-08-14T07:36:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-14T11:51:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T12:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T12:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-14T12:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T12:36:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T12:56:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T13:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T18:05:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:10:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:15:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T18:33:00] kitchen_light | OnOff.OnOff = True
[2026-08-14T18:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:40:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-14T18:40:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:50:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:54:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-08-14T19:00:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T19:05:05] 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。


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, bathroom_water_leak
- 已选事件数: 22

## 跨天活动摘要
- 2026-07-29: balcony=3, entrance=232, bathroom=223, living_room=110, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-07-29T15:15:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T15:30:14] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T15:50:14] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-29T16:00:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T16:20:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T16:30:14] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-29T16:50:14] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-29T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T17:00:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T17:02:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-29T17:20:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T17:30:14] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher], 厨房漏水传感器[water_leak_detector]
- 房间 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: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, master_bathroom_water_leak
- 已选事件数: 26

## 设备事件日志
[2026-08-06T15:29:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T15:32:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:34:30] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:52:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:59:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-06T16:01:00] front_door_lock | DoorLock.LockState = 2
[2026-08-06T16:06:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:17:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:22:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:26:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:31:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-06T16:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:52:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:56:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-08-06T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True
[2026-08-06T17:17:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T17:21:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T17:22:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T17:26:07] kids_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 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]
- 房间 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 48

## 跨天活动摘要
- 2026-07-01: bathroom=64, bedroom=244, kitchen=238, entrance=230, living_room=209

## 设备事件日志
[2026-07-01T05:45:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T06:25:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T06:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T06:50:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T07:03:02] front_door_lock | DoorLock.LockState = 2
[2026-07-01T07:03:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-01T07:08:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T07:10:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-01T07:10:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T07:28:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T07:36:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T07:45:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T07:53:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T08:06:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T11:41:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T11:46:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T11:54:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T11:56:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:01:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:06:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:19:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:21:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-01T12:26:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:31:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:36:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T12:39:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:52:10] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:59:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T13:01:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T13:06:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T17:36:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T17:56:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:01:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:06:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T18:14:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:19:16] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:21:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:26:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:34:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:40:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-01T18:44:16] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:46:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:59:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T19:04:16] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T19:06:00] kitchen_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 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]
- 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: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 18

## 设备事件日志
[2026-08-26T14:03:49] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T14:31:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:33:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:33:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:33:49] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T14:34:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:51:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:53:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:53:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T15:03:49] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-26T15:11:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T15:13:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T15:13:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T15:14:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-26T15:25:00] bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 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]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 15

## 设备事件日志
[2026-07-17T14:06:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T14:31:48] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T14:36:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:01:48] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-17T15:06:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-17T15:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-17T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:31:48] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:36:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T16:06:38] bathroom_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 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]
- 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: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 37

## 设备事件日志
[2026-08-02T06:24:16] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T06:35:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T06:53:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T07:04:06] front_door_lock | DoorLock.LockState = 2
[2026-08-02T07:04:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-02T07:10:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-02T07:13:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T07:29:09] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T07:38:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T07:54:16] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T11:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:06:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:14:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:19:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:24:16] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T12:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-02T12:31:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:39:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:46:06] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:54:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:14:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:17:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:24:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:34:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:39:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:40:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-02T18:42:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:49:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T19:04:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T19:07:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T19:14:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, bathroom_water_leak
- 已选事件数: 20

## 跨天活动摘要
- 2026-08-09: balcony=3, living_room=194, bathroom=59, entrance=51, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-08-09T15:18:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T15:24:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:38:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T15:54:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:58:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-09T16:18:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T16:24:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-09T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-08-09T17:02:00] bathroom_water_leak | BooleanState.StateValue = 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。


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

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

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

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 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]
- 房间 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]

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

## 跨天活动摘要
- 2026-07-17: bathroom=62, bedroom=242, kitchen=240, entrance=230, living_room=208

## 设备事件日志
[2026-07-17T13:53:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T14:21:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:21:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:22:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:23:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T14:24:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:41:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:41:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:42:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:44:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:53:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:01:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:01:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:02:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:04:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-17T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-17T15:21:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:21:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:22:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:23:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:24:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:25:00] bathroom_water_leak | BooleanState.StateValue = 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。


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

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

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

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher], 厨房漏水传感器[water_leak_detector]
- 房间 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: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, master_bathroom_water_leak
- 已选事件数: 25

## 跨天活动摘要
- 2026-08-01: balcony=3, master_bathroom=49, living_room=48, dining_room=48, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-08-01T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-01T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-01T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-08-01T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = 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。


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

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

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

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 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]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 17

## 跨天活动摘要
- 2026-08-27: bathroom=55, living_room=112, bedroom=66, entrance=14, kitchen=8

## 设备事件日志
[2026-08-27T13:47:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:17:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:46:50] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:47:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-27T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-27T15:16:50] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T15:17:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T15:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-27T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T15:46:50] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T15:47:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T16:17:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T16:47:21] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher], 厨房漏水传感器[water_leak_detector]
- 房间 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: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, master_bathroom_water_leak
- 已选事件数: 28

## 跨天活动摘要
- 2026-07-27: balcony=3, entrance=230, kids_room=228, master_bedroom=227, dining_room=223, living_room=113

## 设备事件日志
[2026-07-27T15:15:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:18:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:19:42] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T15:22:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:24:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T15:42:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:44:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:50:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:53:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-27T16:10:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:13:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:19:42] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T16:22:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:24:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:30:00] front_door_lock | DoorLock.LockState = 2
[2026-07-27T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T16:30:09] kids_room_light | OnOff.OnOff = True
[2026-07-27T16:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:44:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-27T16:50:02] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:53:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-27T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = 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。


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, bathroom_water_leak
- 已选事件数: 16

## 设备事件日志
[2026-08-09T15:25:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:45:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-09T16:05:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T16:25:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:45:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-09T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-08-09T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:02:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-09T17:05:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T17:25:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 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 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 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: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 19

## 设备事件日志
[2026-08-01T14:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T14:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T14:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T14:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T14:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-01T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-01T15:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-01T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 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]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 18

## 跨天活动摘要
- 2026-07-26: bathroom=61, bedroom=205, living_room=194, kitchen=14, entrance=3

## 设备事件日志
[2026-07-26T13:43:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T14:13:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T14:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T14:21:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T14:40:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T14:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T14:43:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T15:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T15:01:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-26T15:13:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-26T15:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T15:21:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T15:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-26T15:40:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T15:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T15:43:33] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher], 厨房漏水传感器[water_leak_detector]
- 房间 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: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, master_bathroom_water_leak
- 已选事件数: 28

## 设备事件日志
[2026-08-10T15:29:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T15:32:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T15:34:20] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T15:37:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T15:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T15:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T15:59:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-10T16:02:03] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T16:22:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T16:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T16:29:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T16:32:03] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-10T16:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T16:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-08-10T16:59:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True
[2026-08-10T17:02:03] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T17:22:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T17:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T17:29:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T17:32:03] kids_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher], 厨房漏水传感器[water_leak_detector]
- 房间 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: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, master_bathroom_water_leak
- 已选事件数: 26

## 跨天活动摘要
- 2026-08-28: balcony=3, master_bedroom=231, kids_room=230, entrance=229, dining_room=219, living_room=113

## 设备事件日志
[2026-08-28T15:15:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T15:17:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T15:33:55] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T15:35:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T15:37:37] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T15:55:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T15:57:37] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-28T16:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-28T16:02:02] front_door_contact | BooleanState.StateValue = False
[2026-08-28T16:02:09] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T16:03:55] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T16:15:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T16:22:09] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T16:37:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-28T16:50:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T16:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-08-28T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 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 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 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: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 19

## 设备事件日志
[2026-08-22T13:56:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T14:26:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T14:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T14:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T14:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T14:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T14:54:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T14:56:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T15:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T15:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T15:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-22T15:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-22T15:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-22T15:26:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T15:30:00] entrance_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。