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: SQ5
- 重点房间: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 33

## 跨天活动摘要
- 2026-07-15: entrance=15, living_room=110, bedroom=71, bathroom=57, kitchen=9

## 设备事件日志
[2026-07-15T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T07:06:10] kitchen_light | OnOff.OnOff = True
[2026-07-15T07:19:00] kitchen_light | OnOff.OnOff = False
[2026-07-15T07:19:14] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-15T07:19:14] front_door_lock | DoorLock.LockState = 2
[2026-07-15T07:19:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-15T07:19:24] front_door_lock | DoorLock.LockState = 1
[2026-07-15T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T18:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-15T18:20:00] front_door_lock | DoorLock.LockState = 2
[2026-07-15T19:07:00] kitchen_light | OnOff.OnOff = True
[2026-07-15T19:30:21] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T20:55:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T21:46:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-15T21:46:26] front_door_lock | DoorLock.LockState = 1
[2026-07-15T21:50:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:10:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:30:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:36:09] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:37:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T22:50:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:56:09] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T22:59:00] bedroom_light | OnOff.OnOff = False
[2026-07-15T23:01:18] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T23:07:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T23:10:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-15T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T23:25:00] kitchen_light | OnOff.OnOff = True
[2026-07-15T23:30:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T23:31:18] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T23:37:33] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的家庭作息模式，无安全威胁或异常行为。",
  "reasoning": [
    "推理步骤 1: 分析入户门锁 (front_door_lock) 事件。07:19 和 21:46 分别记录了手动上锁 (LockState=2) 和解锁 (LockState=1) 操作，且时间间隔合理（约 14 小时），符合典型的离家与回家场景，未见未授权访问迹象。",
    "推理步骤 2: 分析厨房灯光 (kitchen_light) 事件。07:19 开启后于 07:19:14 关闭，随后在 19:07、23:25 等时间点根据住户活动规律开启，持续时间短且逻辑连贯，排除了无人看管烹饪或设备卡死的风险。",
    "推理步骤 3: 分析客厅 occupancy 传感器数据。传感器状态变化（0->1->0）与卧室/卫生间的使用时间高度吻合（例如 22:36 进入卧室，23:01 离开；23:10 回到客厅），体现了连贯的家庭内部移动轨迹，未发现传感器故障或长时间异常静止导致的误报风险。"
  ],
  "key_evidence": [
    "前门在 07:19 和 21:46 有明确的手动上锁/解锁记录，符合正常作息。",
    "厨房灯光仅在有人活动时短暂开启，无长时间持续开启现象。",
    "各房间运动传感器状态变化逻辑一致，反映了正常的室内人员流动。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前的监控频率，定期审查此类跨天摘要以确认长期模式的一致性。"
  ]
}
```


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_light, living_room_occupancy
- 已选事件数: 24

## 设备事件日志
[2026-08-04T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-04T02:08:00] balcony_light | OnOff.OnOff = True
[2026-08-04T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T19:15:08] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

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


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

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

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

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

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

## 设备事件日志
[2026-08-22T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-22T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-22T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-22T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T10:11:07] living_room_light_1 | OnOff.OnOff = True
[2026-08-22T22:55:00] living_room_light_1 | OnOff.OnOff = False
[2026-08-22T22:55:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-22T22:55:24] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示的是正常的夜间离家模式及次日清晨的常规开门行为，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 03:00 至 04:00 期间，所有房间（包括玄关、客厅、卧室）的运动传感器均报告 Occupancy = 0，表明住户已完全离家，处于正常的睡眠或外出状态。",
    "推理步骤 2: 04:06 门锁解锁 (LockState=1) 后于 04:07 重新上锁 (LockState=2)，随后在 04:09 打开客厅灯。结合此时全屋无人且时间较早，这极可能是住户早起出门前进行的例行检查（如确认灯光、查看门口情况），属于正常的人为操作序列。",
    "推理步骤 3: 后续日志中，白天 10:11 再次开启客厅灯，晚上 22:55 关闭灯光并手动记录了一次开门事件 (LockOperationType=0, OperationSource=Manual)。这些时间点符合典型的居家作息规律，且没有伴随异常入侵迹象（如有人进入但无运动检测，或门被非法撬动）。",
    "推理步骤 4: 综合来看，设备状态变化逻辑连贯，符合‘离家 - 晨起检查 - 日间活动 - 晚间归家’的正常生活模式，不存在尾随、非法入侵或设备故障的特征。"
  ],
  "key_evidence": [
    "03:00-04:00 全屋运动传感器持续报告无人 (Occupancy=0)。",
    "04:06-04:07 门锁快速完成‘解锁 - 上锁’循环，紧接着是开灯动作，符合单人操作特征。",
    "22:55 的关门/开门事件标记为 Manual 来源，且发生在合理的晚间回家时间段。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前的日志监控频率，关注未来是否有非授权时间的频繁开关门行为。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 135

## 跨天活动摘要
- 2026-08-04: living_room=111, kids_room=231, entrance=230, master_bedroom=227, master_bathroom=222, dining_room=220
- 2026-08-05: living_room=114, master_bedroom=227, kids_room=227, entrance=227, dining_room=222, master_bathroom=53
- 2026-08-06: living_room=111, kids_room=233, master_bedroom=232, entrance=229, dining_room=220, master_bathroom=53

## 设备事件日志
[2026-08-04T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-04T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-04T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-04T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-04T02:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-04T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-04T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-04T02:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-04T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-04T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-04T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-04T02:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-04T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-04T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T03:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-04T03:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-04T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-04T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-04T03:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-04T03:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-04T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-04T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-04T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T03:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-04T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-04T03:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-08-04T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-04T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-08-04T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-04T04:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-08-04T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409
[2026-08-04T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2418
[2026-08-04T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2428
[2026-08-04T07:20:02] kitchen_light | OnOff.OnOff = False
[2026-08-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-05T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-05T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-05T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-05T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-05T02:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-05T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-05T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-05T02:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-05T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-05T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-05T02:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-05T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-05T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T03:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-05T03:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-05T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-05T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-05T03:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-05T03:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-05T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-05T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-05T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T03:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-05T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-05T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-05T03:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-05T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-08-05T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-08-05T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-08-05T04:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-08-05T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-08-05T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2414
[2026-08-05T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2422
[2026-08-05T07:36:06] kitchen_light | OnOff.OnOff = False
[2026-08-05T23:41:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-06T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-06T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-06T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-06T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-06T02:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-06T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-06T02:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-06T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-06T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-06T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-06T02:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-06T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T03:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-06T03:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-06T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-06T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-06T03:15:00] kitchen_light | OnOff.OnOff = True
[2026-08-06T03:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-06T03:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-06T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-06T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-06T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T03:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-06T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-06T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-06T03:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-06T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-08-06T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-06T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-08-06T04:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-08-06T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-08-06T04:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-06T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-08-06T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2420
[2026-08-06T06:34:09] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到凌晨时段（03:14-04:30）客厅存在持续的人员活动，且伴随厨房灯光开启，疑似非正常作息下的入侵或异常行为。",
  "reasoning": [
    "1. 时间异常：日志显示在连续三天（8月4日、5日、6日）的凌晨 03:14 左右，客厅运动传感器（living_room_occupancy）从空闲（0）变为有人（1），并在约1.5小时后（04:30）再次变为空闲。这种深夜时段的活跃不符合常规睡眠习惯。",
    "2. 关键设备联动异常：在8月6日凌晨 03:15，即客厅检测到有人后的1分钟内，厨房灯（kitchen_light）被开启（OnOff.OnOff = True）。此前两天同一时间段厨房灯未开启。深夜开启厨房灯通常意味着有人在厨房进行取水、进食或其他操作，结合客厅的活动，构成了完整的“进入-移动-使用设施”的行为链。",
    "3. 排除误报：虽然温度传感器数据有波动，但这是正常的物理现象。重点在于 occupancy_sensor 和 actuator（灯）的状态变化。凌晨3点并非典型的起夜时间（通常更晚或更早），且持续一个多小时的活动周期较长，增加了非法入侵或醉酒/药物影响下异常行为的嫌疑。"
  ],
  "key_evidence": [
    "[2026-08-06T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-08-06T03:15:00] kitchen_light | OnOff.OnOff = True",
    "[2026-08-06T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "recommended_actions": [
    "立即检查入户门锁（entrance_door_lock）及窗户传感器（window_covering/contact_sensor）在过去72小时内是否有未授权的开启记录。",
    "调取家庭监控录像（如有），确认凌晨3点左右客厅和厨房内的人员身份及行为特征。",
    "若确认为非家庭成员，请立即报警并加强安防措施；若为家庭成员，建议核实其健康状况或精神状态。"
  ]
}
```

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "过去三天的设备日志显示正常的夜间温度调节模式和规律的日间活动，未发现安全威胁或异常行为。",
  "reasoning": [
    "推理步骤 1: 温度数据分析。日志中的温度值（如 2322-2428）符合 Matter 协议中摄氏度乘以 10 的编码格式，换算后为 23.2°C - 24.3°C。该数值范围在夏季夜间至清晨的正常居住舒适区间内，且多房间传感器读数高度一致，表明传感器工作正常，无漂移或故障。",
    "推理步骤 2: 占用模式分析。所有房间的占用传感器（occupancy_sensor）在凌晨 00:00 至 04:30 期间均报告为 0（无人），直到早上 07:20 左右厨房灯关闭（可能是定时或手动），随后在 07:36 和 06:34 再次开启，符合典型的起床/离家准备流程。没有发现非授权人员进入的迹象。",
    "推理步骤 3: 跨天一致性检查。三天（8 月 4 日、5 日、6 日）的活动摘要和设备事件序列表现出极高的规律性：夜间无人、温度稳定、早晨特定时间唤醒灯光。这种重复性排除了随机入侵或设备被恶意篡改的可能性。"
  ],
  "key_evidence": [
    "所有房间在凌晨时段（00:00-04:30）持续报告 Occupancy = 0，且无窗户/门接触传感器触发报警。",
    "温度传感器读数在三天内保持稳定的 23°C-24°C 区间，无异常高温或低温波动。",
    "厨房灯光状态变化（关闭 -> 开启）与典型的人类作息时间表吻合，未出现逻辑冲突。"
  ],
  "recommended_actions": [
    "继续保持当前的监控策略，无需额外干预。",
    "建议定期校准温度传感器以确保长期准确性，尽管当前数据表现良好。"
  ]
}
```


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_light, living_room_occupancy
- 已选事件数: 24

## 设备事件日志
[2026-08-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-06T02:08:00] balcony_light | OnOff.OnOff = True
[2026-08-06T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T19:21:07] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示凌晨时段存在正常的夜间活动模式，无入侵或异常行为迹象。",
  "reasoning": [
    "推理步骤 1: 分析时间线，在 02:07 阳台门传感器状态变为 False（打开），紧接着 02:08 阳台灯开启，随后 02:09 客厅运动传感器检测到有人（Occupancy=1）。这一序列符合住户起夜、经过阳台区域并进入客厅的正常行为逻辑。",
    "推理步骤 2: 检查后续状态，住户在 02:30 离开客厅后，所有房间（包括卧室、厨房等）的运动传感器均报告无人（Occupancy=0），且直到次日傍晚 19:21 才再次检测到客厅有人。这表明该次夜间活动是孤立的，并未伴随其他可疑的徘徊或重复进出行为。",
    "推理步骤 3: 结合家庭布局，阳台门与客厅相邻，起夜时短暂开启阳台门并开灯查看或通行是常见场景。由于没有发现入户门锁被非法操作、窗户传感器异常触发或其他安防设备报警，因此判定为正常的生活习惯而非安全威胁。"
  ],
  "key_evidence": [
    "02:07 阳台门打开后立即有灯光和人员活动记录",
    "02:30 之后所有区域持续保持无人状态直至次日傍晚",
    "未检测到入户门锁状态变化或其他安防警报"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议用户确认是否记得当时起夜经过阳台，若不确定可忽略此条提示。"
  ]
}
```


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: 135

## 跨天活动摘要
- 2026-08-15: living_room=197, bedroom=210, bathroom=56, kitchen=14, entrance=3
- 2026-08-16: living_room=195, bedroom=208, bathroom=56, kitchen=14, entrance=3
- 2026-08-17: living_room=110, bedroom=64, bathroom=54, entrance=14, kitchen=9

## 设备事件日志
[2026-08-15T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-08-15T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-15T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-15T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-15T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-15T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-15T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-15T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-08-15T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2242
[2026-08-15T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-15T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-15T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-15T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-15T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-15T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-15T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-15T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-15T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-15T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-15T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-15T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2280
[2026-08-15T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-15T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-15T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T03:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2284
[2026-08-15T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-15T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-15T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-08-15T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-08-15T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-15T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-08-15T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-08-15T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-15T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409
[2026-08-15T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-08-15T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2413
[2026-08-15T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2422
[2026-08-15T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2437
[2026-08-15T12:14:00] kitchen_light | OnOff.OnOff = True
[2026-08-15T17:45:00] kitchen_light | OnOff.OnOff = True
[2026-08-16T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-16T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-16T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-16T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-16T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-16T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-08-16T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-16T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-16T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-16T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-16T02:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-08-16T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-16T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-16T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-16T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-16T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-16T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-08-16T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-08-16T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-16T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-16T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-16T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-16T03:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-08-16T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-16T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-16T03:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-16T03:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-16T03:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2284
[2026-08-16T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-08-16T03:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-16T03:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-16T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-08-16T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-08-16T04:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-16T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-08-16T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2418
[2026-08-16T04:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2422
[2026-08-16T04:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2421
[2026-08-16T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2436
[2026-08-16T09:05:04] kitchen_light | OnOff.OnOff = True
[2026-08-16T12:17:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T18:57:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-08-17T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-17T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-17T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-17T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-17T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-17T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-17T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2234
[2026-08-17T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2236
[2026-08-17T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-17T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-17T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-08-17T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-17T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-17T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-08-17T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-17T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-17T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-17T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-17T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-08-17T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-17T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-17T03:15:00] kitchen_light | OnOff.OnOff = True
[2026-08-17T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-08-17T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-17T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2275
[2026-08-17T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T03:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2293
[2026-08-17T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-08-17T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-17T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2295
[2026-08-17T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384

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

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_drift",
  "threat_description": "客厅温度传感器存在严重的数值漂移和异常读数，导致环境数据不可信，可能掩盖真实的火灾风险或设备故障。",
  "reasoning": [
    "推理步骤 1: 分析日志发现，所有温度传感器的原始读数均以 '23xx' 开头（例如 2317, 2437），这明显不符合摄氏度 (°C) 的正常范围（通常为 -10 到 50）。结合 Matter 协议标准，这些数值极有可能是以 0.01°C 为单位的整数表示，即实际温度为 23.17°C 至 24.37°C，这在物理上是合理的室温范围。",
    "推理步骤 2: 尽管基础数值转换后合理，但观察同一时间段内不同房间的温度变化模式发现严重的不一致性。在 2026-08-15T02:00 至 04:00 期间，卧室温度稳定在 22.4°C - 22.9°C 之间，而客厅温度却从 23.1°C 持续攀升至 24.3°C，且厨房温度也同步升高。这种跨房间的剧烈温差（>2°C）在没有人员活动（occupancy=0）的情况下是不自然的，暗示传感器校准失效或受到局部热源干扰。",
    "推理步骤 3: 最关键的异常在于数据的非物理性波动。例如在 2026-08-15T02:25:00，客厅温度瞬间从 23.42 跳变到 23.41，随后又迅速爬升；而在 2026-08-16T04:45:00，温度出现无规律的锯齿状波动（2421 -> 2436）。这种高频、无逻辑的数值跳动超出了正常热惯性变化的范畴，表明传感器硬件可能已损坏、固件读取错误，或者通信链路存在严重的丢包/重传导致的数值错乱（Sensor Drift/Malfunction）。",
    "推理步骤 4: 由于温度是火灾检测的关键指标，且日志中包含了烟雾报警器（smoke_co_alarm）但未触发报警，如果真实环境温度因传感器故障未能被正确记录（例如实际过热但显示正常），将构成重大的安全隐患。因此，必须将此类数据异常视为高优先级事件处理。"
  ],
  "key_evidence": [
    "温度读数格式异常：原始值如 '2317' 远超常规摄氏度范围，需按 0.01 倍率换算，但换算后的趋势仍存疑。",
    "跨房间温差异常：在无人员活动的深夜时段，客厅与卧室温差持续超过 2°C，违背热力学平衡常识。",
    "数据波动非物理性：温度在短时间内出现无规律的剧烈跳变（如 23.42 -> 23.41 -> 23.42...），符合传感器故障特征而非真实环境变化。"
  ],
  "recommended_actions": [
    "立即标记客厅温度传感器 [living_room_temp_sensor] 为‘故障’状态，并在智能家居系统中暂时禁用其自动温控逻辑，防止基于错误数据做出危险决策。",
    "安排技术人员现场检修或更换客厅温度传感器，并检查其安装位置是否靠近空调出风口或其他热源。",
    "在修复前，建议用户手动监测客厅实际温度，并留意是否有异味或烟雾，以防传感器失灵掩盖了潜在的火灾隐患。"
  ]
}
```


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

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

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

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

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

## 设备事件日志
[2026-08-20T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-20T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-20T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-20T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T07:16:34] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-20T07:16:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-20T15:56:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-20T17:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示的家庭活动模式符合正常的夜间至清晨作息，未发现入侵、异常操作或设备故障迹象。",
  "reasoning": [
    "时间线分析：所有事件发生在凌晨 03:00 至次日早晨 07:16 之间，且随后在白天（15:56, 17:57）有正常的开门记录，表明这是典型的夜间无人居住时段及随后的正常离家/回家流程。",
    "门锁状态验证：凌晨 04:06-04:09 的门锁状态变化（LockState=2 解锁 -> LockState=1 上锁）发生在入户运动传感器持续报告'无人'(Occupancy=0) 的情况下，且紧接着客厅灯光被打开，这完全符合住户从外部返回家中并自行开门开灯的正常行为逻辑，而非非法闯入（非法闯入通常伴随传感器未检测到人员或强行开启）。",
    "环境一致性：整个时间段内，除玄关和客厅外，其他房间（卧室、厨房等）均无人员活动报告，与深夜休息状态一致；后续白天的开门事件也均为手动正常操作，未见异常徘徊或重复尝试开锁的行为。"
  ],
  "key_evidence": [
    "04:06-04:09 期间 entrance_occupancy 持续为 0，排除了有人尾随进入的可能性。",
    "04:09 客厅灯光 (living_room_light_1) 开启，佐证了住户主动进入并照明的意图。",
    "白天 07:16 及之后的开门事件标记为 Manual 且间隔合理，属于正常生活轨迹。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续监控日常模式，若未来出现非手动解锁或夜间长时间无人却频繁触发门锁事件，则需重新评估。"
  ]
}
```


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

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

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

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

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

## 设备事件日志
[2026-08-01T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-01T02:08:00] balcony_light | OnOff.OnOff = True
[2026-08-01T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T10:54:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T13:29:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T16:04:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T18:39:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T21:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T23:49:00] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示夜间阳台门被打开并开启灯光，随后客厅检测到人员活动，符合住户夜间起夜或起床活动的正常行为模式。",
  "reasoning": [
    "推理步骤 1: 在凌晨 02:07，阳台门传感器（balcony_door_contact）状态变为 False（打开），紧接着在 02:08 阳台灯（balcony_light）被开启。这表明有人主动打开了阳台门并打开了灯，而非入侵者强行闯入（通常不会立即开灯）。",
    "推理步骤 2: 在 02:09，客厅运动传感器（living_room_occupancy）检测到人员出现（Occupancy = 1）。时间序列上，先有阳台门动作，后有客厅人员活动，逻辑连贯，说明是同一人从阳台区域移动到了客厅。",
    "推理步骤 3: 结合上下文，所有卧室在 02:00 均无人员活动，且后续在 02:30 和 03:00 客厅人员再次消失，这非常符合居民深夜起床、短暂活动（如喝水、上厕所或查看阳台）后返回休息的正常生活场景。没有发现门窗异常保持开启、长时间无人值守或设备故障的迹象。"
  ],
  "key_evidence": [
    "02:07 阳台门打开后立即于 02:08 开启灯光",
    "02:09 客厅随即检测到人员活动，形成完整的‘开门 - 开灯 - 进入’行为链"
  ],
  "recommended_actions": [
    "无需采取紧急措施，该事件属于正常家庭活动。",
    "建议确认用户是否有意保留阳台门开启状态，若需安全起见可设置自动关闭延时或提醒用户检查门锁状态。"
  ]
}
```


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

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

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

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

## 设备事件日志
[2026-07-31T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-31T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-31T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T19:15:02] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 28

## 设备事件日志
[2026-08-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T07:47:09] kitchen_light | OnOff.OnOff = False
[2026-08-06T07:47:32] front_door_lock | DoorLock.LockState = 2
[2026-08-06T07:47:42] front_door_lock | DoorLock.LockState = 1
[2026-08-06T16:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-06T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T18:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-06T19:30:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T22:10:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T22:27:28] front_door_contact | BooleanState.StateValue = True
[2026-08-06T22:27:29] front_door_lock | DoorLock.LockState = 1
[2026-08-06T22:30:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T22:45:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T22:47:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T22:47:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T23:00:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:02:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:04:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-08-06T23:20:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:22:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:24:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:25:00] kitchen_light | OnOff.OnOff = True
[2026-08-06T23:30:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:32:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T23:32:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的家庭作息模式，包括离家锁门、夜间回家及室内活动，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 分析时间线，07:47 门锁状态从锁定 (2) 变为未锁定 (1)，随后在 16:19 有手动上锁操作，符合早晨出门和下午回家的正常行为逻辑。",
    "推理步骤 2: 检查入侵迹象，22:27 入户门接触传感器触发 (True)，紧接着 22:29 门锁自动或手动上锁 (LockState=2)，且此时客厅和玄关运动传感器均检测到有人 (Occupancy=1)，表明是住户正常开门进入，而非非法闯入（非法闯入通常伴随门锁被强行打开或长时间未上锁）。",
    "推理步骤 3: 验证后续活动，22:47 开始多个房间（主卧、主卫、儿童房等）的运动传感器陆续报 '1'，23:25 厨房灯开启，显示家庭成员在屋内正常活动，无异常徘徊或滞留现象。"
  ],
  "key_evidence": [
    "22:27 门开后立即于 22:29 完成上锁动作",
    "进门后短时间内多个内部房间运动传感器同时激活，符合正常入户动线"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前的设备联动策略（如开门即报警/记录，确认无人后自动落锁）。"
  ]
}
```


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

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

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

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

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

## 设备事件日志
[2026-07-12T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-12T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-12T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-07-12T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "凌晨4点入户门锁被解锁且客厅灯光开启，但所有区域运动传感器均未检测到人员活动，存在非法入侵或设备故障风险。",
  "reasoning": [
    "时间异常：事件发生在凌晨04:06至04:09，属于典型的深夜/凌晨时段，非正常家庭活动时间。",
    "行为矛盾（核心证据）：入户门智能锁（front_door_lock）在04:06显示解锁状态（LockState=2），随后在04:07锁定；紧接着04:09客厅主灯（living_room_light_1）开启。这构成了‘开门-开灯’的潜在入侵行为链。",
    "传感器缺失：尽管门锁已操作且灯光已开启，但在同一时间段及随后的04:30、05:00，包括玄关（entrance）、客厅（living_room）在内的所有运动传感器（occupancy_sensor）均报告无人（Occupancy=0）。",
    "排除误报可能性：虽然存在传感器故障的可能，但在智能家居安全分析中，‘物理访问控制设备触发 + 照明设备响应 + 人体存在传感器无反馈’的组合通常优先被视为高风险入侵迹象（如入侵者穿着遮挡物、传感器盲区或故意破坏传感器），需立即介入确认。"
  ],
  "key_evidence": [
    "[2026-07-12T04:06:00] front_door_lock | DoorLock.LockState = 2 (门锁解锁)",
    "[2026-07-12T04:09:00] living_room_light_1 | OnOff.OnOff = True (客厅灯亮)",
    "[2026-07-12T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0 (玄关无人)",
    "[2026-07-12T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0 (客厅无人)"
  ],
  "recommended_actions": [
    "立即推送高优先级警报给住户，并尝试通过APP视频对讲或查看门口摄像头（如有）确认现场情况。",
    "若确认为误报（如宠物或传感器故障），检查玄关和客厅运动传感器的覆盖范围及灵敏度设置。",
    "若无法确认或怀疑入侵，建议住户立即联系安保或报警，并远程将门锁重新强制锁定以确保安全。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "low",
  "threat_type": "fire_risk",
  "threat_description": "存在异常，但原因更可能属于其他类别。",
  "reasoning": [
    "推理步骤1: 日志里有异常，但我把它归因为另一类威胁。"
  ],
  "key_evidence": [
    "门锁状态先解锁再回锁"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 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
- 2026-07-06: entrance=234, living_room=113, bathroom=54, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-07-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-06T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-06T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-06T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T07:17:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-06T07:17:23] front_door_lock | DoorLock.LockState = 2

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

请按以下 JSON 格式回答：

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

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

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

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间离家与清晨入户行为模式，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 02:11 至 02:13 的事件序列（门锁解锁、门接触传感器断开、玄关灯开启）随后在 02:13 检测到客厅有人，符合住户夜间起床如厕或短暂活动后离家的正常行为逻辑。",
    "推理步骤 2: 该时段内所有房间运动传感器状态均为 0（无人），且后续在 02:30 再次确认全屋无人，排除了入侵者滞留或尾随进入的可能性。",
    "推理步骤 3: 早晨 07:17 的锁操作事件标记为手动 (Manual) 且状态变为锁定 (LockState=2)，结合跨天摘要中白天各房间有少量活动记录，符合住户正常上班/出门前的上锁行为。"
  ],
  "key_evidence": [
    "02:11-02:13 期间仅发生一次短暂的开门 - 关门循环，且随即恢复无人状态。",
    "07:17 的 LockOperation 事件明确标识来源为 Manual，表明是人为主动操作而非系统故障或强制闯入。",
    "全时段无窗户传感器异常触发、烟雾报警或漏水报警等高危设备事件。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前的设备监控频率，关注未来是否有类似非高峰时段的频繁开关门行为。"
  ]
}
```


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_light, living_room_occupancy
- 已选事件数: 105

## 跨天活动摘要
- 2026-08-24: balcony=2, entrance=229, living_room=111, bathroom=54, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-08-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-24T01:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-08-24T01:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-24T01:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-08-24T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-24T01:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-24T01:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-24T01:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-08-24T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-24T01:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-24T01:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-24T01:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-24T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-08-24T01:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-24T01:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-24T01:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-08-24T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-24T01:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-24T01:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-24T01:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-24T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-24T01:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-24T01:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-24T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-24T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-24T01:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-24T01:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-24T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-24T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-24T01:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-24T01:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-24T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-24T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-24T02:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-24T02:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-24T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-24T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-24T02:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-24T02:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-24T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-24T02:08:00] balcony_light | OnOff.OnOff = True
[2026-08-24T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-24T02:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-24T02:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-24T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-24T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-24T02:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-24T02:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-24T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-24T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-24T02:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-24T02:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-24T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-24T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-24T02:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-24T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-24T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-24T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-24T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-24T02:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-24T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-24T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-24T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-24T02:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-24T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-24T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-24T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-24T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-24T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-24T02:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-24T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-24T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-24T02:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-24T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-24T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-24T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-24T02:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-24T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-24T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T19:21:17] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T20:45:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T22:10:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T23:35:03] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到凌晨2:07阳台门被打开，随后玄关灯亮起且客厅有人活动，存在非法入侵或异常进入的高风险。",
  "reasoning": [
    "1. 时间异常：事件发生在凌晨02:07至02:30之间，属于典型的深夜/凌晨时段，此时住户通常处于睡眠状态，非正常活动时间。",
    "2. 物理入口开启：日志显示 `balcony_door_contact` 在 02:07 变为 False（即门被打开）。虽然阳台门可能用于通风，但在深夜结合后续行为需警惕。",
    "3. 连锁反应与人员移动：阳台门打开后仅1分钟（02:08），`balcony_light` 被点亮。紧接着在 02:09，`living_room_occupancy` 变为 1（有人）。这表明有人从阳台区域移动到了客厅。",
    "4. 排除误报：虽然日志中未直接显示入户门（entrance）的传感器触发，但“阳台开门 -> 开灯 -> 客厅有人”这一序列符合入侵者通过阳台进入并在家中活动的模式。即使是通过阳台进入，也构成了未经授权的进入行为（Intrusion）。",
    "5. 持续活动：客厅 occupancy 在 02:30 才变回 0，说明有人在客厅停留了约20分钟，进一步证实了这是人为活动而非传感器故障。"
  ],
  "key_evidence": [
    "[2026-08-24T02:07:00] balcony_door_contact | BooleanState.StateValue = False (阳台门在深夜被打开)",
    "[2026-08-24T02:08:00] balcony_light | OnOff.OnOff = True (阳台灯随即亮起)",
    "[2026-08-24T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1 (客厅检测到人员活动)"
  ],
  "recommended_actions": [
    "立即检查家中是否有财物丢失或门窗损坏情况。",
    "确认是否为住户本人夜间起夜或通风习惯，若否，请立即报警并保留现场证据。",
    "建议加强阳台门的安防措施（如安装更灵敏的传感器或警报器），并检查窗帘是否遮挡导致外部无法察觉内部灯光。"
  ]
}
```

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_drift",
  "threat_description": "客厅温度传感器读数严重偏离物理现实（显示 22-26°C 的千位数值），且伴随异常的时间序列波动，表明传感器数据漂移或故障。",
  "reasoning": [
    "推理步骤 1: 分析日志中的温度数据，发现所有房间的温度传感器（living_room_temp_sensor 等）在 01:20 至 03:00 期间报告的值均在 2294 到 2366 之间。",
    "推理步骤 2: 结合 Matter 协议标准及常识判断，室内环境温度不可能达到 2200°C 以上，这些数值极有可能是传感器校准错误、固件 Bug 导致的单位/比例错误，或是数据上报时的整数溢出/偏移（例如实际为 22.94°C 被误报为 2294）。",
    "推理步骤 3: 尽管该时间段内 occupancy 传感器显示无人（0），但如此大规模、持续性的多设备同步数据异常属于典型的 sensor_drift（传感器漂移/故障）模式，而非正常的环境变化或用户行为。这种数据失真可能导致基于温度的自动化场景（如空调控制、烟雾报警联动）失效或误触发。",
    "推理步骤 4: 虽然阳台门在 02:07 打开且随后有人进入（02:09），但这可能是正常的夜间活动或入侵尝试，但由于核心环境数据（温度）已不可信，首要风险是传感器本身的可靠性问题，需优先处理数据源故障。"
  ],
  "key_evidence": [
    "2026-08-24T01:20:00 至 2026-08-24T03:00:00 期间，多个温度传感器连续报告 2294-2366 的异常高值。",
    "同一时间段内，所有房间的 OccupancySensing.Occupancy 均为 0，排除了因人员聚集导致的高温可能性。",
    "温度数值呈现无规律的微小波动（如 2350 -> 2341 -> 2356），符合传感器噪声或漂移特征，而非真实热力学过程。"
  ],
  "recommended_actions": [
    "立即检查并重置客厅及厨房的温度传感器，确认其固件版本是否最新。",
    "查看设备配置，确认温度测量单元（Unit of Measure）是否正确设置为摄氏度（°C）而非其他单位，或检查是否存在小数点丢失的配置错误。",
    "在修复前，暂时禁用依赖这些温度数据的自动化场景（如高温自动开窗或空调联动），防止逻辑混乱。",
    "若重置无效，建议联系设备制造商进行硬件更换或固件升级。"
  ]
}
```