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: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, balcony_light
- 已选事件数: 96

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

## 设备事件日志
[2026-08-09T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-09T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-09T16:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-09T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-09T16:30:00] living_room_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] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-09T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-09T16:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-09T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-09T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-09T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-08-09T16:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-09T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-09T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-09T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-09T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-09T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-09T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-09T16:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-09T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-09T16:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-09T16:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-09T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-09T17:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-09T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-09T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-09T17:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-09T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-09T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-09T17:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-09T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-09T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-09T17:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-09T17:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-09T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-09T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-09T17:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-09T17:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-09T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-09T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-09T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-09T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-09T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-09T17:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-09T17:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-09T17:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-09T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-09T17:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-09T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-09T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-09T17:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-09T17:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-09T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-09T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-09T17:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-09T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-09T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-09T17:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-09T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-09T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-09T17:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-09T17:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-09T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-09T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-09T17:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-09T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-09T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-09T18:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-09T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-09T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-09T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-09T18:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-09T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-09T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-09T18:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-09T18:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-09T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "key_evidence": [
    "正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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, balcony_light
- 已选事件数: 19

## 设备事件日志
[2026-08-17T16:45:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T16:45:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T16:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T16:47:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T16:52:45] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T17:05:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:05:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:07:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:07:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-17T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-17T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-17T17:22:45] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T17:25:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:25:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:27:08] dining_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "key_evidence": [
    "正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_contact, front_door_lock
- 已选事件数: 27

## 设备事件日志
[2026-07-31T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:27:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:29:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:47:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:47:43] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:49:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:50:00] dining_room_light | OnOff.OnOff = False
[2026-07-31T07:50:03] kitchen_light | OnOff.OnOff = False
[2026-07-31T07:50:06] master_bedroom_light | OnOff.OnOff = False
[2026-07-31T07:50:11] kids_room_light | OnOff.OnOff = False
[2026-07-31T07:50:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-31T07:50:16] front_door_lock | DoorLock.LockState = 2
[2026-07-31T07:50:18] front_door_contact | BooleanState.StateValue = False
[2026-07-31T07:50:19] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:50:26] front_door_contact | BooleanState.StateValue = True
[2026-07-31T07:50:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-31T07:50:27] front_door_lock | DoorLock.LockState = 1
[2026-07-31T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-31T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-31T08:03:00] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "key_evidence": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 35

## 设备事件日志
[2026-08-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T07:33:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-13T07:33:25] front_door_lock | DoorLock.LockState = 2
[2026-08-13T07:33:27] front_door_contact | BooleanState.StateValue = False
[2026-08-13T07:33:31] front_door_contact | BooleanState.StateValue = True
[2026-08-13T07:33:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-13T07:33:32] front_door_lock | DoorLock.LockState = 1
[2026-08-13T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T13:37:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T13:42:48] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-13T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-13T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-13T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T14:07:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T14:12:48] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T14:37:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-13T18:10:00] front_door_lock | DoorLock.LockState = 2
[2026-08-13T18:10:02] front_door_contact | BooleanState.StateValue = False
[2026-08-13T18:10:06] entrance_light | OnOff.OnOff = True
[2026-08-13T19:15:14] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T20:40:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T21:53:04] entrance_light | OnOff.OnOff = False
[2026-08-13T21:53:26] front_door_contact | BooleanState.StateValue = True
[2026-08-13T21:53:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-13T21:53:27] front_door_lock | DoorLock.LockState = 1
[2026-08-13T22:05:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T23:30:10] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "key_evidence": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 31

## 跨天活动摘要
- 2026-07-24: entrance=235, living_room=113, bathroom=53, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-07-24T07:16:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-24T07:16:16] front_door_lock | DoorLock.LockState = 2
[2026-07-24T07:16:18] front_door_contact | BooleanState.StateValue = False
[2026-07-24T07:16:19] front_door_contact | BooleanState.StateValue = True
[2026-07-24T07:16:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-24T07:16:20] front_door_lock | DoorLock.LockState = 1
[2026-07-24T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-24T18:07:00] front_door_lock | DoorLock.LockState = 2
[2026-07-24T18:07:02] front_door_contact | BooleanState.StateValue = False
[2026-07-24T18:07:15] entrance_light | OnOff.OnOff = True
[2026-07-24T18:32:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T18:52:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:12:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:17:19] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:17:48] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T19:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T19:32:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:37:19] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:47:48] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T19:48:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-24T19:48:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-07-24T19:52:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:57:19] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:59:00] kitchen_dishwasher | OnOff.OnOff = True
[2026-07-24T19:59:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-07-24T20:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-24T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-24T20:04:00] entrance_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "key_evidence": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 131

## 跨天活动摘要
- 2026-08-28: living_room=114, bedroom=65, bathroom=55, entrance=14, kitchen=8
- 2026-08-29: living_room=196, bedroom=207, bathroom=57, kitchen=14, entrance=3
- 2026-08-30: living_room=194, bedroom=208, bathroom=57, kitchen=15, entrance=3

## 设备事件日志
[2026-08-28T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T05:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-08-28T05:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-08-28T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442
[2026-08-28T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-08-28T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-08-28T05:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-28T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-08-28T05:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-08-28T05:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-28T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-08-28T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-28T06:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-08-28T06:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-28T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-28T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-28T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-28T06:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-28T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-28T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-28T06:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-28T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:32:08] bedroom_light | OnOff.OnOff = True
[2026-08-28T06:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-08-28T06:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T06:37:05] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T06:38:50] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-08-28T06:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-28T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-28T06:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-08-28T06:57:00] bathroom_light | OnOff.OnOff = False
[2026-08-28T06:57:07] kitchen_light | OnOff.OnOff = True
[2026-08-28T07:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-08-28T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-28T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-08-28T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-28T07:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-28T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-28T07:11:02] bedroom_light | OnOff.OnOff = False
[2026-08-28T07:11:14] front_door_lock | DoorLock.LockState = 2
[2026-08-28T07:11:22] front_door_contact | BooleanState.StateValue = True
[2026-08-28T07:11:23] front_door_lock | DoorLock.LockState = 1
[2026-08-28T07:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-28T07:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524
[2026-08-28T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2515
[2026-08-28T07:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2422
[2026-08-28T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-08-28T07:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-08-28T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-08-28T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-28T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-28T19:14:00] kitchen_light | OnOff.OnOff = True
[2026-08-29T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-08-29T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442
[2026-08-29T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-08-29T05:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-08-29T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-08-29T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-08-29T06:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-29T06:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T06:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-29T06:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-29T06:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-29T06:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-29T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-29T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-08-29T06:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-29T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-29T06:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T06:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-29T06:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-08-29T06:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-08-29T06:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-08-29T06:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-08-29T06:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-08-29T06:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-08-29T07:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409
[2026-08-29T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T07:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T07:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2415
[2026-08-29T07:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-08-29T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-29T07:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-08-29T07:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2521
[2026-08-29T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-29T07:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2414
[2026-08-29T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2520
[2026-08-29T07:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2527
[2026-08-29T07:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T07:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-08-29T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2518
[2026-08-29T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-08-29T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2532
[2026-08-29T08:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-08-29T09:02:02] kitchen_light | OnOff.OnOff = True
[2026-08-29T12:31:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T19:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-30T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-08-30T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-08-30T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-08-30T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-08-30T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-30T05:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2465
[2026-08-30T06:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-30T06:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-30T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-30T06:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-08-30T06:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-08-30T06:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-30T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-08-30T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-30T06:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-30T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-08-30T06:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-08-30T06:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-30T06:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-30T06:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-08-30T06:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-30T06:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-30T06:42:00] kitchen_light | OnOff.OnOff = True
[2026-08-30T06:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-30T06:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-30T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 触发时间位于清晨起床窗口且有轻微抖动，不是固定的可疑重复模式。"
  ],
  "key_evidence": [
    "触发时间位于清晨起床窗口且有轻微抖动，不是固定的可疑重复模式。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "触发时间位于清晨起床窗口且有轻微抖动，不是固定的可疑重复模式。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 21

## 跨天活动摘要
- 2026-07-19: entrance=51, living_room=48, master_bedroom=48, second_bedroom=48, bathroom=48

## 设备事件日志
[2026-07-19T19:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T19:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T19:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T19:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T19:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-19T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-19T20:04:00] entrance_light | OnOff.OnOff = True
[2026-07-19T20:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T21:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T21:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "key_evidence": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_light_1, living_room_window_contact
- 已选事件数: 37

## 设备事件日志
[2026-07-11T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-11T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-11T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-11T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-07-11T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-11T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-11T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-11T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-11T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T09:33:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-11T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-11T09:44:16] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-11T09:53:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-11T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-11T10:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-11T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-11T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-11T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-07-11T10:10:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-11T10:10:05] living_room_light_1 | OnOff.OnOff = True
[2026-07-11T10:10:11] living_room_ac | OnOff.OnOff = True
[2026-07-11T10:10:11] living_room_ac | Thermostat.SystemMode = 3
[2026-07-11T10:10:18] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-07-11T10:13:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:14:16] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-11T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-11T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-11T10:30:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:33:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "key_evidence": [
    "白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 26

## 设备事件日志
[2026-08-12T07:06:10] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-12T07:06:10] front_door_lock | DoorLock.LockState = 2
[2026-08-12T07:06:12] front_door_contact | BooleanState.StateValue = False
[2026-08-12T07:06:17] front_door_contact | BooleanState.StateValue = True
[2026-08-12T07:06:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-12T07:06:18] front_door_lock | DoorLock.LockState = 1
[2026-08-12T08:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-12T08:36:00] front_door_lock | DoorLock.LockState = 2
[2026-08-12T08:36:02] front_door_contact | BooleanState.StateValue = False
[2026-08-12T18:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:16:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:27:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:27:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:27:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T19:28:03] living_room_light | LevelControl.CurrentLevel = 33
[2026-08-12T19:29:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:36:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:47:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:49:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:57:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-12T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-12T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-12T20:07:00] 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。

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "key_evidence": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

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

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

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

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

## 跨天活动摘要
- 2026-08-15: entrance=234, bedroom=242, kitchen=240, living_room=209, bathroom=58

## 设备事件日志
[2026-08-15T07:00:09] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-15T07:00:09] front_door_lock | DoorLock.LockState = 2
[2026-08-15T07:00:11] front_door_contact | BooleanState.StateValue = False
[2026-08-15T07:00:17] front_door_contact | BooleanState.StateValue = True
[2026-08-15T07:00:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-15T07:00:18] front_door_lock | DoorLock.LockState = 1
[2026-08-15T08:31:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-15T08:31:00] front_door_lock | DoorLock.LockState = 2
[2026-08-15T08:31:02] front_door_contact | BooleanState.StateValue = False
[2026-08-15T18:36:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T18:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:16:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:17:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:20:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:23:22] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T19:36:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:37:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:38:07] living_room_light | LevelControl.CurrentLevel = 24
[2026-08-15T19:40:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:43:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:53:22] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T19:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:57:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T20:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-15T20:03:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-15T20:04:00] entrance_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "key_evidence": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

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

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

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

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

## 跨天活动摘要
- 2026-07-29: entrance=234, living_room=110, bathroom=53, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-07-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T07:16:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-29T07:16:22] front_door_lock | DoorLock.LockState = 2
[2026-07-29T07:16:24] front_door_contact | BooleanState.StateValue = False
[2026-07-29T07:16:29] front_door_contact | BooleanState.StateValue = True
[2026-07-29T07:16:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-29T07:16:30] front_door_lock | DoorLock.LockState = 1
[2026-07-29T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T12:36:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T12:56:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T13:16:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T13:36:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T13:46:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T13:56:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-07-29T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-07-29T14:06:00] entrance_light | OnOff.OnOff = True
[2026-07-29T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T14:16:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T14:16:25] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "key_evidence": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 26

## 设备事件日志
[2026-07-25T07:03:08] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-25T07:03:08] front_door_lock | DoorLock.LockState = 2
[2026-07-25T07:03:10] front_door_contact | BooleanState.StateValue = False
[2026-07-25T07:03:18] front_door_contact | BooleanState.StateValue = True
[2026-07-25T07:03:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-25T07:03:19] front_door_lock | DoorLock.LockState = 1
[2026-07-25T08:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-25T08:22:00] front_door_lock | DoorLock.LockState = 2
[2026-07-25T08:22:02] front_door_contact | BooleanState.StateValue = False
[2026-07-25T18:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:29:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:29:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:29:10] living_room_light | LevelControl.CurrentLevel = 50
[2026-07-25T19:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:33:42] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T19:49:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:49:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:50:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-25T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-25T20:03:42] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T20:04:00] entrance_light | OnOff.OnOff = True
[2026-07-25T20:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "key_evidence": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

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

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

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

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

## 跨天活动摘要
- 2026-08-27: entrance=232, living_room=112, bathroom=55, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-08-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T07:29:09] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-27T07:29:09] front_door_lock | DoorLock.LockState = 2
[2026-08-27T07:29:11] front_door_contact | BooleanState.StateValue = False
[2026-08-27T07:29:14] front_door_contact | BooleanState.StateValue = True
[2026-08-27T07:29:15] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-27T07:29:15] front_door_lock | DoorLock.LockState = 1
[2026-08-27T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T12:39:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T12:59:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T13:19:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T13:20:03] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T13:39:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T13:50:03] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T13:59:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-27T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-27T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-27T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T14:19:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T14:20:03] 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。

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "key_evidence": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_light, living_room_window_contact
- 已选事件数: 32

## 设备事件日志
[2026-08-13T08:36:10] living_room_light | OnOff.OnOff = True
[2026-08-13T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-08-13T08:56:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-13T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-08-13T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-13T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-13T09:16:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-08-13T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-08-13T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-13T09:30:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:31:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:32:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-08-13T09:36:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-13T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-13T09:50:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:52:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-08-13T09:56:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:56:57] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-08-13T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-08-13T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-13T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-13T10:07:00] living_room_light | OnOff.OnOff = True
[2026-08-13T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-13T10:10:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T10:11:03] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "key_evidence": [
    "白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, balcony_light
- 已选事件数: 104

## 跨天活动摘要
- 2026-08-29: balcony=3, living_room=48, dining_room=48, master_bedroom=48, second_bedroom=48, kids_room=48

## 设备事件日志
[2026-08-29T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-29T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-29T16:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-29T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-29T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-29T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-08-29T16:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-29T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-29T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-08-29T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-29T16:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-29T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-29T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-29T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-29T16:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-29T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-29T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-29T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-29T16:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-29T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-29T16:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-29T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-29T17:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-29T17:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-29T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-29T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-29T17:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-29T17:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-29T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-29T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-29T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-29T17:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-29T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-29T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-29T17:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-29T17:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-29T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-29T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-29T17:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-29T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-29T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-29T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-29T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-29T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-29T17:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-29T17:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-29T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-29T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-29T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-29T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-29T17:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-29T17:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-29T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-29T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-29T17:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-29T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-29T17:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-29T17:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-29T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-29T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-29T17:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-29T17:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-29T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-29T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-29T17:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-29T17:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-29T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-29T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-29T18:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-29T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-29T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-29T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-29T18:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-29T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-29T18:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-29T18:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "key_evidence": [
    "正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}