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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 40

## 设备事件日志
[2026-07-08T06:21:27] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T06:41:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T06:45:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T07:06:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T07:07:06] front_door_contact | BooleanState.StateValue = False
[2026-07-08T07:07:08] front_door_lock | DoorLock.LockState = 1
[2026-07-08T07:10:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-08T07:10:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T07:17:07] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T07:26:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T07:35:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T07:42:07] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T07:51:27] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T11:51:27] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T11:57:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T12:01:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T12:06:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T12:11:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T12:17:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T12:21:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T12:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-08T12:31:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T12:46:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T12:51:27] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T12:57:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T18:08:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T18:13:16] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T18:16:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T18:21:27] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T18:28:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T18:33:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T18:38:16] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T18:40:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-08T18:41:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T18:48:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T18:58:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T19:03:16] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T19:06:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T19:13:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器在多个时间点持续触发报警，表明存在持续的漏水风险。",
  "reasoning": [
    "1. 识别核心异常：日志中明确记录了 `bathroom_water_leak` 设备在 07:10、12:25 和 18:40 三个时间点状态变为 `True`（BooleanState.StateValue = True），这直接指示检测到水泄漏。",
    "2. 排除误报可能性：虽然卫生间运动传感器 (`bathroom_occupancy`) 在漏水触发时显示为 `0` (无人)，但这通常是因为老人可能坐在马桶上未移动导致传感器盲区，或者漏水发生在淋浴区/洗手台而人不在该特定检测区域。更重要的是，漏水事件并非单次瞬时触发，而是多次出现，且间隔较长（早晨、中午、傍晚），符合管道破裂或水龙头未关导致的持续性或间歇性漏水特征，而非偶然的溅水。",
    "3. 结合住户背景评估风险：独居老人对突发状况的反应能力较弱，若发生漏水未及时察觉，可能导致地板湿滑引发跌倒（secondary fall risk）或长期积水损坏房屋结构。因此，必须将此视为高优先级的安全威胁进行处理。"
  ],
  "key_evidence": [
    "[2026-07-08T07:10:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-08T12:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-08T18:40:00] bathroom_water_leak | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "立即通过语音助手或电话通知住户检查卫生间水源（如马桶、洗手盆、淋浴喷头）。",
    "若无法联系到住户或确认漏水，建议远程关闭家中总水阀（如果已安装智能水阀），并联系紧急联系人或物业上门查看。",
    "检查卫生间地面是否有积水，提醒住户注意防滑，防止因漏水导致的二次跌倒事故。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "low",
  "threat_type": "intrusion",
  "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": [
    "同一传感器多次间歇性报漏水"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-08-07T14:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T14:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T14:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T14:31:30] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T14:33:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T14:51:30] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T14:53:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T15:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T15:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-07T15:11:30] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T15:13:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-07T15:25:00] bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器持续触发报警，表明卫生间存在正在进行的漏水事件。",
  "reasoning": [
    "1. 识别核心异常：日志中明确显示 bathroom_water_leak 设备在 15:05、15:13 和 15:25 多次上报 BooleanState.StateValue = True（即检测到水/泄漏）。",
    "2. 排除误报可能性：漏水状态持续超过 20 分钟（从 15:05 到至少 15:25），且中间没有复位为 False 的记录，这符合真实物理泄漏的特征，而非瞬时的传感器抖动或误触。",
    "3. 结合环境背景：虽然此时段入户门和主卧有人员活动迹象（Occupancy=1），但卫生间本身无人（bathroom_occupancy 始终为 0）。这意味着漏水发生时卫生间内无人看管，或者住户未察觉，增加了财产损失风险（如地板浸泡、楼下渗漏）和滑倒风险。"
  ],
  "key_evidence": [
    "[2026-08-07T15:05:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-07T15:15:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-07T15:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "漏水持续时间超过 20 分钟且无恢复迹象"
  ],
  "recommended_actions": [
    "立即通过智能家居系统向用户发送高优先级推送通知，告知卫生间漏水情况。",
    "如果系统支持，自动关闭卫生间进水阀门（如有智能角阀）以切断水源。",
    "建议用户尽快回家检查卫生间地面及管道状况，并联系物业或维修人员处理。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "无人使用时浴室仍出现漏水信号",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "判定为无人时漏水异常，建议立即检查供水与排水。"
  ]
}


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

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

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

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

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

## 跨天活动摘要
- 2026-07-10: bathroom=61, bedroom=242, kitchen=240, entrance=231, living_room=209

## 设备事件日志
[2026-07-10T13:56:59] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T14:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T14:20:19] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T14:22:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T14:24:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T14:26:59] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T14:40:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T14:40:19] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T14:42:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T14:44:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T14:56:59] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T15:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T15:00:19] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T15:02:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T15:04:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-10T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-10T15:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T15:20:19] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T15:22:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T15:24:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T15:25:00] bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器持续触发报警，且住户长时间未离开卫生间或进行干预，存在严重漏水风险。",
  "reasoning": [
    "1. 检测到关键安全事件：在 15:05、15:15 和 15:25，bathroom_water_leak 传感器连续三次报告 StateValue = True（漏水状态），表明漏水情况持续存在而非瞬时误报。",
    "2. 结合住户行为分析异常性：虽然卫生间 occupancy 传感器在 14:56 显示为 0（无人），但随后其他房间（卧室、客厅、厨房、玄关）的 occupancy 传感器在 15:00-15:24 期间频繁交替显示为 1。对于独居老人而言，这种全屋多房间的活跃模式通常意味着老人在家中活动，但并未出现在卫生间门口或关闭水源的迹象。",
    "3. 排除正常用水场景：如果是正常的洗澡或洗手，通常会有明确的进入卫生间并停留一段时间的模式，且漏水传感器不应在长达 20 分钟的时间段内（15:05-15:25）持续报警而不被重置。考虑到老人独居，若发生滑倒或身体不适导致无法关闭水源，或者水管爆裂，这将构成紧急安全隐患。"
  ],
  "key_evidence": [
    "[2026-07-10T15:05:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-10T15:15:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-10T15:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "住户在其他房间有活动迹象（如 bedroom_occupancy=1 at 15:20），但未对卫生间漏水做出响应。"
  ],
  "recommended_actions": [
    "立即通过智能家居系统向家属或紧急联系人发送高优先级警报，通知卫生间疑似漏水。",
    "尝试远程关闭卫生间进水阀门（如果已安装智能水阀）。",
    "建议家属尽快联系老人确认其身体状况及现场情况，必要时派遣人员上门查看。"
  ]
}
```

{
  "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。"
  ]
}


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

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

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

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

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

## 跨天活动摘要
- 2026-07-30: balcony=3, master_bedroom=230, kids_room=228, entrance=228, dining_room=222, living_room=111

## 设备事件日志
[2026-07-30T15:16:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T15:17:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T15:20:46] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T15:22:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T15:23:21] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T15:42:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T15:43:21] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T15:51:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T15:52:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-30T16:11:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:12:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:15:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T16:15:02] front_door_contact | BooleanState.StateValue = False
[2026-07-30T16:15:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:20:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:20:46] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T16:32:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:35:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-30T16:51:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-30T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "主卫生间漏水传感器触发报警，检测到疑似漏水情况。",
  "reasoning": [
    "1. 识别关键事件：日志显示在 2026-07-30T17:02:00，`master_bathroom_water_leak` 设备的 `BooleanState.StateValue` 变为 `True`（通常表示检测到水/泄漏）。",
    "2. 排除误报可能性：虽然同一时间段内主卫 occupancy 为 0（无人），但这并不排除漏水发生的可能。相反，无人时发生的漏水往往更危险，因为可能未被及时发现。",
    "3. 关联分析：虽然阳台洗衣机在 16:45 结束运行，但漏水发生在主卫，且时间间隔较长，不太可能是洗衣机溢流导致的直接连锁反应（除非管道连通，但通常独立）。重点在于主卫本身的漏水检测。",
    "4. 风险评估：水是智能家居中主要的物理损害源之一，可能导致地板损坏、电路短路或霉菌滋生。这是一个需要立即响应的安全威胁。"
  ],
  "key_evidence": [
    "[2026-07-30T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True",
    "当前时间为下午 17:02，属于家庭活动时段，若家中有人应能察觉；若无人则需远程确认。"
  ],
  "recommended_actions": [
    "1. 立即通过手机 App 查看主卫摄像头（如有）或发送通知提醒住户检查主卫地面是否有积水。",
    "2. 如果确认漏水，建议远程关闭主卫进水阀门（如果有智能阀门）或通知住户手动关闭总阀。",
    "3. 检查漏水原因，是水管破裂、地漏堵塞还是其他设备（如热水器、马桶）故障。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "low",
  "threat_type": "intrusion",
  "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": [
    "洗衣机已经结束"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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

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

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

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

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

## 跨天活动摘要
- 2026-07-24: balcony=3, master_bedroom=229, kids_room=227, entrance=226, dining_room=219, living_room=113

## 设备事件日志
[2026-07-24T15:15:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T15:16:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T15:23:59] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T15:25:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T15:28:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T15:45:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T15:48:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T15:55:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T15:56:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-24T16:15:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T16:16:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T16:17:00] front_door_lock | DoorLock.LockState = 2
[2026-07-24T16:17:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T16:17:15] kids_room_light | OnOff.OnOff = True
[2026-07-24T16:25:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T16:37:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-24T16:45:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T16:53:59] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T16:56:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T16:57:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-24T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "主卫生间检测到漏水状态，且该区域人员已离开，存在潜在的水损风险。",
  "reasoning": [
    "1. 识别关键异常事件：在 2026-07-24T17:02:00，主卫漏水传感器 (master_bathroom_water_leak) 触发报警，BooleanState.StateValue = True。",
    "2. 结合人员活动分析：根据日志，主卫运动传感器 (master_bathroom_occupancy) 在 15:23:59 和 16:53:59 均显示为无人状态 (Occupancy = 0)。这意味着当漏水发生时，卫生间内无人值守。",
    "3. 排除误报可能性：虽然无法完全排除传感器故障，但在智能家居安全分析中，'有人时漏水'可能仅导致地面积水，而'无人时漏水'则极大概率意味着管道破裂、水龙头未关或设备故障导致的持续渗漏，具有更高的财产损失风险，因此视为真实威胁处理。"
  ],
  "key_evidence": [
    "[2026-07-24T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-24T16:53:59] master_bathroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "recommended_actions": [
    "立即通过手机App查看主卫摄像头（如有）或联系住户确认现场情况。",
    "若确认为漏水，建议远程关闭主卫进水阀门（如果安装了智能角阀），并通知住户回家检修。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "low",
  "threat_type": "intrusion",
  "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": [
    "洗衣机已经结束"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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

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

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

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

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

## 跨天活动摘要
- 2026-08-13: balcony=3, master_bedroom=232, entrance=232, living_room=116, bathroom=49, second_bedroom=48

## 设备事件日志
[2026-08-13T15:17:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T15:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T15:34:36] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T15:54:36] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T16:00:00] front_door_lock | DoorLock.LockState = 2
[2026-08-13T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-13T16:00:02] front_door_contact | BooleanState.StateValue = False
[2026-08-13T16:02:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T16:22:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T16:30:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-13T16:50:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-08-13T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T17:02:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T17:02:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-13T17:22:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T17:30:03] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器触发报警，表明可能存在水管破裂、设备泄漏或积水情况。",
  "reasoning": [
    "1. 核心证据：日志显示在 2026-08-13T17:02:00，bathroom_water_leak 传感器的 BooleanState.StateValue 变为 True。在智能家居安全逻辑中，漏水传感器通常默认为干燥状态（False），触发为 True 代表检测到水分，这是明确的物理异常信号。",
    "2. 排除误报可能性：虽然同一时间点主卧 occupancy 传感器持续活跃（Occupancy=1），但这仅说明有人在家，并不能解释漏水原因。阳台门传感器在稍早时间（16:58）打开，但阳台洗衣机已在 16:45 停止运行，且阳台与卫生间无直接水路连接，因此阳台活动不是导致卫生间漏水的直接原因。",
    "3. 风险评估：卫生间是家中用水密集区域，漏水可能导致地板损坏、电路短路或邻里纠纷。即使没有伴随烟雾或入侵迹象，水患本身属于需要立即干预的安全威胁。"
  ],
  "key_evidence": [
    "[2026-08-13T17:02:00] bathroom_water_leak | BooleanState.StateValue = True",
    "该事件发生在下午时段，非夜间休眠期，住户可能在场，但也可能因忙碌未察觉。"
  ],
  "recommended_actions": [
    "1. 立即推送高优先级通知给住户，提示卫生间检测到漏水。",
    "2. 建议住户检查卫生间水龙头、马桶、淋浴区及地漏是否有明显积水或渗漏源。",
    "3. 如果确认漏水，建议关闭家庭总水阀并联系维修人员；若为误报，指导用户擦干传感器后重置。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "洗衣结束后延迟出现漏水",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "按排水系统异常处理，建议检查洗衣机和排水管。"
  ]
}


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

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

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

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

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

## 跨天活动摘要
- 2026-07-06: balcony=3, master_bedroom=231, entrance=227, living_room=114, bathroom=49, second_bedroom=48

## 设备事件日志
[2026-07-06T15:16:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T15:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T15:34:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T15:54:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-06T16:01:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T16:12:00] front_door_lock | DoorLock.LockState = 2
[2026-07-06T16:17:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T16:31:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-06T16:51:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-06T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T17:02:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-06T17:02:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T17:22:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T17:31:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器触发报警，且此时段入户门有人活动，需警惕因水管破裂或设备故障导致的积水风险及潜在的安全隐患。",
  "reasoning": [
    "1. 核心异常检测：日志显示在 2026-07-06T17:02:00，bathroom_water_leak 设备的 BooleanState.StateValue 变为 True，这直接表明检测到水泄漏。",
    "2. 关联行为分析：在漏水报警前后（17:02 - 17:31），entrance_occupancy（玄关运动传感器）持续报告 Occupancy = 1，说明家中有人活动。结合重点房间 balcony 的洗衣机在 16:00-16:45 期间运行过，虽然洗衣机位于阳台，但卫生间漏水通常与用水习惯或管道维护有关。",
    "3. 排除误报逻辑：虽然阳台门在 16:58 打开，但这主要影响阳台区域。卫生间漏水传感器触发是一个高优先级的安全事件，尤其是在有人居住的情况下，必须立即确认是否发生真实漏水，以防止地板损坏、滑倒事故或电路短路。"
  ],
  "key_evidence": [
    "[2026-07-06T17:02:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-06T17:02:03] entrance_occupancy | OccupancySensing.Occupancy = 1 (确认家中有人)"
  ],
  "recommended_actions": [
    "立即通过智能家居APP查看卫生间摄像头（如有）或远程语音询问住户，确认是否有明显漏水现象。",
    "建议住户检查卫生间水龙头、马桶及地漏情况，若确认为漏水，请立即关闭总水阀并联系维修人员。"
  ]
}
```

{
  "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。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 18

## 设备事件日志
[2026-08-06T13:58:20] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T14:28:20] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T14:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T14:30:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T14:30:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T14:33:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T14:50:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T14:50:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T14:50:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T14:53:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T14:58:20] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-06T15:10:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:10:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:10:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:13:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-06T15:25:00] bathroom_water_leak | BooleanState.StateValue = True

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器持续触发报警，且检测到漏水时卫生间内无人员活动，存在未察觉的水患风险。",
  "reasoning": [
    "1. 识别核心异常：日志显示在 15:05、15:15 和 15:25 三个时间点，bathroom_water_leak 传感器的 BooleanState.StateValue 均为 True，表明漏水检测被持续触发。",
    "2. 结合环境状态分析：在漏水报警期间（15:05-15:25），bathroom_occupancy 传感器显示为 0（无人）。虽然其他房间（卧室、玄关等）有人员活动迹象，但卫生间处于无人状态。",
    "3. 排除误报与评估风险：对于独居老人家庭，卫生间漏水若发生在无人使用时，极易导致地板浸泡、电路短路或邻里纠纷。由于传感器连续多次上报同一状态，排除了瞬时干扰的可能性，确认为真实漏水事件。"
  ],
  "key_evidence": [
    "[2026-08-06T15:05:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-06T15:15:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-06T15:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-06T14:58:20] bathroom_occupancy | OccupancySensing.Occupancy = 0 (漏水发生时卫生间无人)"
  ],
  "recommended_actions": [
    "立即向用户发送高优先级警报，提示卫生间可能存在漏水。",
    "建议用户远程检查卫生间情况，或通过智能音箱询问家中是否有异常声响/气味。",
    "若确认漏水，指导用户关闭入户总水阀并联系物业或维修人员。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "无人使用时浴室仍出现漏水信号",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "判定为无人时漏水异常，建议立即检查供水与排水。"
  ]
}


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

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

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

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

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

## 跨天活动摘要
- 2026-07-11: balcony=3, living_room=197, bathroom=55, entrance=51, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-07-11T15:15:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T15:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T15:35:13] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T15:55:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T16:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-11T16:05:13] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T16:15:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T16:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-11T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-11T17:02:00] bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间检测到漏水状态，且阳台门处于开启状态，存在因天气或设备故障导致的水损风险。",
  "reasoning": [
    "1. 核心异常触发：日志显示在 17:02:00，bathroom_water_leak (卫生间漏水传感器) 的 BooleanState.StateValue 变为 True，明确指示检测到水泄漏。这是直接的安全威胁信号。",
    "2. 关联环境分析：在漏水发生前约 4 分钟 (16:58:00)，balcony_door_contact (阳台门传感器) 的状态变为 True (通常代表门被打开/非闭合)。虽然阳台与卫生间物理上可能不直接连通，但阳台门开启可能导致雨水进入或湿气增加，若房屋结构存在渗漏点，可能加剧卫生间区域的潮湿或积水情况；或者仅仅是巧合，但需警惕外部水源侵入。",
    "3. 排除误报可能性：洗衣机在 16:00-16:45 期间运行完毕并停止，此时段内未报告漏水。漏水发生在洗衣机停止后一个多小时，且地点在卫生间而非洗衣区（尽管两者可能相邻），因此不太可能是洗衣机溢出的直接后续，更可能是管道破裂、水龙头未关或外部雨水渗入。鉴于传感器报警为高置信度事件，应视为真实威胁处理。"
  ],
  "key_evidence": [
    "[2026-07-11T17:02:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-11T16:58:00] balcony_door_contact | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "立即推送紧急通知给用户，提示卫生间漏水。",
    "建议用户远程检查卫生间状况，确认水源（如关闭角阀、清理积水）。",
    "检查阳台门是否因风雨导致雨水飘入室内，必要时提醒用户关闭阳台门。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "洗衣结束后延迟出现漏水",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "按排水系统异常处理，建议检查洗衣机和排水管。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-07-05T15:26:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T15:46:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-05T16:11:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T16:31:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-05T16:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-05T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T17:02:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-05T17:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "检测到卫生间漏水传感器触发，且阳台洗衣机刚刚结束运行，存在因洗衣机故障或水管破裂导致的水浸风险。",
  "reasoning": [
    "1. 识别关键事件：日志显示在 17:02 触发了 bathroom_water_leak (BooleanState.StateValue = True)，这是一个明确的安全告警信号。",
    "2. 关联上下文行为：在漏水报警前约 6 分钟（16:45），balcony_laundry_washer 的 OperationalState 从 1 (运行中) 变为 0 (停止/空闲)。这表明洗衣机刚刚完成一个洗涤周期。",
    "3. 风险评估：虽然洗衣机位于阳台，但漏水传感器位于卫生间。这可能意味着两种情况：一是洗衣机排水不畅或软管脱落导致水溢出并蔓延至卫生间区域；二是卫生间自身的水管或地漏出现问题。无论哪种情况，持续的水流都可能导致地板损坏、电路短路或霉菌滋生，属于需要立即处理的安全隐患。"
  ],
  "key_evidence": [
    "[2026-07-05T17:02:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-05T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0"
  ],
  "recommended_actions": [
    "立即检查卫生间地面是否有积水，确认漏水源头。",
    "检查阳台洗衣机的进水管和排水管连接是否牢固，以及排水泵是否正常工作，防止水回流或溢出。",
    "如果无法自行解决，请联系专业水管工进行检修。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "low",
  "threat_type": "intrusion",
  "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": [
    "洗衣机已经结束"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-07-25T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T15:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T15:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T15:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-25T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-25T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-25T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "主卫漏水传感器检测到水渍，表明可能存在水管破裂、水龙头未关或地漏溢水等漏水情况。",
  "reasoning": [
    "1. 核心异常识别：日志显示在 2026-07-25T17:02:00，master_bathroom_water_leak 设备的 BooleanState.StateValue 变为 True。在智能家居安全逻辑中，漏水传感器触发（True）通常意味着检测到了水分，这是明确的物理环境异常信号。",
    "2. 排除误报与关联分析：虽然同一时间段内阳台门被打开（16:58），但阳台与主卫空间隔离，且阳台门开启本身不直接导致主卫漏水。同时，所有房间的运动传感器在 15:30 至 16:45 期间均为 0（无人），直到 16:58 阳台门才有人活动迹象。这意味着在漏水发生前的一段时间内，家中可能处于无人状态，增加了漏水未被及时发现并造成损失的风险。",
    "3. 风险评估：主卫是家庭用水密集区，漏水若不及时关闭水源，可能导致地板浸泡、墙体发霉甚至渗漏到楼下邻居，造成财产损失。因此，这是一个需要立即干预的安全威胁。"
  ],
  "key_evidence": [
    "[2026-07-25T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-25T16:30:00] 及之前所有 occupancy_sensor 均为 0，表明事发时家中可能无人值守"
  ],
  "recommended_actions": [
    "立即通过手机 App 查看主卫摄像头（如有）或联系家人确认现场情况。",
    "若确认为漏水，请远程关闭主卫角阀或总水阀，并安排人员前往处理。",
    "检查漏水原因（如马桶水箱故障、洗手盆下水管松动等），修复后复位传感器。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "在洗衣机停止运行且全屋无人时，阳台门被打开，随后主卫漏水传感器报警，存在极高的非法入侵及水损风险。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，在 16:45 阳台洗衣机停止运行后，直到 16:58 阳台门接触传感器才报告开门状态（StateValue=True）。此时距离上次记录的全屋人员离开（15:30-16:30 均为 0）已过去较长时间，且期间无人员进入迹象。",
    "推理步骤 2: 关键异常在于，当阳台门在 16:58 被打开时，所有室内房间（包括客厅、卧室、厨房等）的运动传感器均持续报告为'无人'（Occupancy=0）。这表明有人从外部通过阳台门进入并试图潜入室内，但尚未触发室内的运动检测，或者入侵者动作极其隐蔽/缓慢，这符合典型的尾随或潜行入侵特征。",
    "推理步骤 3: 紧随其后（17:02），主卫漏水传感器报警。考虑到入侵路径是从阳台进入，最合理的解释是入侵者打开了阳台的窗户或移除了遮挡物导致雨水/积水流入，或者是入侵者携带了水源/破坏了水管。结合‘无人’状态下门被打开的事实，极大概率是非法入侵者正在屋内活动并造成了水患，而非单纯的设备故障（因为如果是设备故障，通常不会伴随特定时间的门锁开启事件，除非是巧合，但概率极低）。"
  ],
  "key_evidence": [
    "16:58 阳台门传感器状态变为 True (Open)，而此时所有室内运动传感器仍为 False (Empty)。",
    "17:02 主卫漏水传感器报警，发生在入侵行为之后，且与无人状态下的门开事件存在强时序关联。",
    "从 15:30 到 16:58 期间，除洗衣机和门之外，无任何人员活动记录，表明该时间段家庭处于完全空置状态。"
  ],
  "recommended_actions": [
    "立即通知物业安保或当地警方，提供入侵时间和地点信息。",
    "远程锁定入户门锁（如果支持），防止入侵者进一步行动或逃离。",
    "派遣维修人员检查主卫漏水情况，评估财产损失并进行修复。",
    "检查阳台门窗的物理锁具是否完好，排查是否有被破坏的痕迹。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, bathroom_water_leak
- 已选事件数: 19

## 设备事件日志
[2026-07-30T15:25:17] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T15:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T15:34:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T15:54:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-30T16:00:17] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T16:21:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T16:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T16:34:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-30T16:54:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-30T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T17:01:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T17:02:00] bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器检测到漏水状态，且洗衣机刚结束运行，存在因洗衣设备故障或管道破裂导致的水浸风险。",
  "reasoning": [
    "1. 识别关键异常事件：日志显示在 17:02:00，bathroom_water_leak (卫生间漏水传感器) 的 BooleanState.StateValue 变为 True，明确指示检测到水泄漏。",
    "2. 关联上下文与潜在源头：在 16:00:00 至 16:45:00 期间，balcony_laundry_washer (阳台洗衣机) 处于 OperationalState = 1 (运行中)，并在 16:45:00 停止。虽然洗衣机位于阳台，但漏水发生在卫生间，这可能意味着水管连接处故障、地漏反溢，或者之前的清洗作业导致了积水蔓延/渗透。",
    "3. 排除误报可能性：漏水传感器通常具有较高的特异性，且结合近期有用水设备（洗衣机）运行的历史，真实发生水患的概率极高，而非单纯的传感器漂移或误触。"
  ],
  "key_evidence": [
    "[2026-07-30T17:02:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-30T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1",
    "[2026-07-30T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0"
  ],
  "recommended_actions": [
    "立即检查卫生间地面及墙角是否有明显积水，确认漏水点位置。",
    "检查阳台洗衣机进排水管及卫生间相关水路设施，关闭总水阀以防损失扩大，并联系维修人员。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "洗衣结束后延迟出现漏水",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "按排水系统异常处理，建议检查洗衣机和排水管。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-08-25T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T06:32:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T06:45:00] bathroom_light | OnOff.OnOff = False
[2026-08-25T06:45:10] kitchen_light | OnOff.OnOff = True
[2026-08-25T07:04:41] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T07:10:00] kitchen_light | OnOff.OnOff = False
[2026-08-25T07:10:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-25T07:10:04] bedroom_light | OnOff.OnOff = False
[2026-08-25T07:10:14] front_door_lock | DoorLock.LockState = 2
[2026-08-25T07:10:22] front_door_contact | BooleanState.StateValue = True
[2026-08-25T07:10:23] front_door_lock | DoorLock.LockState = 1
[2026-08-25T07:15:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T08:15:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T11:45:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T12:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-25T12:34:41] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T12:45:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T17:45:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T18:15:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T18:29:00] front_door_lock | DoorLock.LockState = 2
[2026-08-25T18:29:11] entrance_light | OnOff.OnOff = True
[2026-08-25T18:29:20] living_room_light_1 | OnOff.OnOff = True
[2026-08-25T18:29:24] living_room_ac | Thermostat.SystemMode = 3
[2026-08-25T18:34:16] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T18:40:00] bathroom_water_leak | BooleanState.StateValue = True

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器在无人居住时段持续触发报警，存在真实漏水风险。",
  "reasoning": [
    "1. 识别关键异常事件：日志显示 bathroom_water_leak 传感器在 07:10、12:25 和 18:40 多次触发（StateValue = True）。",
    "2. 结合 occupancy 状态分析：在 07:10 触发时，bathroom_occupancy 为 0（无人）；在 12:25 和 18:40 触发时，虽然未直接列出 bathroom_occupancy 的实时值，但根据上下文（如 12:34 bedroom_occupancy=0, 12:45 bathroom_occupancy=0），卫生间处于无人状态。",
    "3. 排除误报可能性：漏水通常由管道破裂、马桶水箱故障或地漏反水引起。由于传感器在多个不同时间点（早晨、中午、傍晚）重复触发，且发生在无人使用时段，这极大概率是真实的物理漏水，而非传感器故障（传感器故障通常表现为持续不变或随机跳变，而此处有明确的时间间隔）。",
    "4. 风险评估：卫生间漏水若不及时关闭水源，可能导致地板浸泡、墙体发霉甚至电路短路，属于需要立即干预的安全威胁。"
  ],
  "key_evidence": [
    "[2026-08-25T07:10:00] bathroom_water_leak | BooleanState.StateValue = True (此时 bathroom_occupancy = 0)",
    "[2026-08-25T12:25:00] bathroom_water_leak | BooleanState.StateValue = True (此时 bathroom_occupancy = 0)",
    "[2026-08-25T18:40:00] bathroom_water_leak | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "立即通过智能家居系统检查卫生间是否有可见积水或听到流水声。",
    "如果确认漏水，请远程关闭家中总水阀或卫生间角阀，并联系物业或水管工进行维修。",
    "检查马桶水箱是否持续进水或地漏是否堵塞导致返水。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "漏水传感器间歇性触发",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "标记为隐蔽性漏水，建议检查管道和地漏。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-08-11T06:01:00] bathroom_light | OnOff.OnOff = False
[2026-08-11T06:42:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T06:46:08] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T06:59:00] kitchen_light | OnOff.OnOff = False
[2026-08-11T06:59:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T07:07:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T07:10:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-11T07:27:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T07:32:30] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T11:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T11:59:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T12:02:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T12:14:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T12:19:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T12:24:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T12:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-11T12:27:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T12:44:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T12:49:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T12:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T12:59:04] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:02:30] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T18:05:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:12:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:17:18] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:24:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:25:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:32:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:40:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-11T18:42:18] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:50:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:57:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T19:02:18] 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。

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器在多个时间点持续触发报警，表明存在持续的漏水风险或设备故障。",
  "reasoning": [
    "1. 识别关键异常事件：日志中显示 bathroom_water_leak (BooleanState.StateValue = True) 分别在 07:10:00、12:25:00 和 18:40:00 三次触发。",
    "2. 分析时间模式与持续性：第一次触发发生在早晨洗漱时段（07:10），可能与使用卫生间有关；但第二次（12:25）和第三次（18:40）触发时，结合其他传感器数据（如 bathroom_occupancy 在 18:32:30 已变为 0，即无人状态），表明漏水发生在无人使用时或持续存在。",
    "3. 排除正常行为：对于独居老人家庭，卫生间漏水通常不是正常现象。虽然早晨可能是用水导致，但随后多次重复触发且伴随无人状态，极大概率指向管道破裂、马桶水箱故障或地漏反水等真实漏水事故，而非误报。"
  ],
  "key_evidence": [
    "[2026-08-11T07:10:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-11T12:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-11T18:40:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-11T18:02:30] bathroom_occupancy | OccupancySensing.Occupancy = 0 (漏水发生时卫生间无人)"
  ],
  "recommended_actions": [
    "立即向住户发送高优先级漏水警报通知。",
    "建议住户检查卫生间水龙头、马桶及地漏情况，确认是否有物理漏水。",
    "若无法远程确认，建议联系物业或紧急联系人上门排查，防止地板损坏或滑倒风险。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "low",
  "threat_type": "intrusion",
  "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": [
    "同一传感器多次间歇性报漏水"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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

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

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

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

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

## 跨天活动摘要
- 2026-08-15: balcony=3, living_room=192, bathroom=55, entrance=51, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-08-15T15:18:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T15:38:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T15:38:43] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T15:58:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T16:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-15T16:08:43] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T16:18:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T16:38:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-15T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-08-15T17:02:00] bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间检测到漏水，且阳台门处于开启状态，洗衣机刚结束工作，存在因门窗未关或设备故障导致的水损风险。",
  "reasoning": [
    "1. 核心异常触发：日志显示在 17:02:00，bathroom_water_leak (卫生间漏水传感器) 的 BooleanState.StateValue 变为 True，这是明确的物理泄漏信号。",
    "2. 关联环境分析：在漏水发生前约 14 分钟 (16:58:00)，balcony_door_contact (阳台门传感器) 显示为 True (开启)。虽然阳台与卫生间不在同一房间，但阳台门常开可能导致湿气进入或雨水倒灌，若房屋结构连通或排水系统共用，可能加剧水患风险；或者暗示住户在洗衣机工作后未及时关闭阳台门/窗，导致环境湿度变化或意外进水。",
    "3. 设备状态时序：洗衣机在 16:00 开始运行，16:45 结束。漏水发生在洗衣机停止后不久。虽然漏水点在卫生间而非阳台（洗衣机所在处），但这可能意味着：a) 卫生间自身管道破裂或地漏反溢；b) 住户从阳台/厨房区域移动至卫生间时发生了泼洒；c) 外部水源通过未关闭的门窗渗入并积聚在卫生间最低点。无论哪种情况，'水'的存在是确定的威胁。",
    "4. 排除误报：漏水传感器通常具有较高的特异性，且结合时间窗口内的其他活动（如客厅有人、卧室无人），没有明显的传感器故障迹象（如持续高频抖动）。"
  ],
  "key_evidence": [
    "[2026-08-15T17:02:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-15T16:58:00] balcony_door_contact | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "立即推送高优先级警报通知用户检查卫生间是否有积水或管道破裂。",
    "建议用户远程查看卫生间摄像头（如有）确认现场情况，并手动关闭入户总水阀以防损失扩大。",
    "检查阳台门是否因风雨原因被吹开，或是否存在雨水倒灌路径，并在确认安全后关闭阳台门。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "洗衣结束后延迟出现漏水",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "按排水系统异常处理，建议检查洗衣机和排水管。"
  ]
}


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

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

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

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

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

## 跨天活动摘要
- 2026-07-01: bathroom=59, living_room=113, bedroom=70, entrance=14, kitchen=8

## 设备事件日志
[2026-07-01T13:40:10] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T14:10:10] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T14:40:10] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T14:44:44] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-01T15:10:10] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T15:14:44] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-01T15:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-01T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T15:40:10] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T15:44:44] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T16:10:10] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T16:40:10] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器持续触发报警，且长时间无人进入卫生间，疑似发生持续性漏水事故。",
  "reasoning": [
    "1. 检测到关键安全事件：在 15:05 至 16:40 期间，bathroom_water_leak 传感器多次上报 StateValue = True（检测到水），表明存在漏水情况。",
    "2. 排除人为活动干扰：在同一时间段内，bathroom_occupancy（卫生间 occupancy）传感器始终显示为 0（无人）。通常用户在使用卫生间或处理漏水时会触发占用检测，持续的“无水+有人”或“有水+无人”状态异常强烈暗示非正常用水场景。",
    "3. 持续时间较长：从第一次检测到漏水（15:05）到日志结束（16:40），漏水状态持续超过 1.5 小时，这不符合正常的短暂用水行为（如洗手、洗澡），极有可能是管道破裂、马桶水箱故障或未关闭的水龙头导致的持续泄漏。"
  ],
  "key_evidence": [
    "[2026-07-01T15:05:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-01T15:15:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-01T15:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "全时段 bathroom_occupancy 均为 0，无人员活动记录"
  ],
  "recommended_actions": [
    "立即通过智能家居系统向住户发送高优先级漏水警报通知。",
    "若系统支持，自动关闭卫生间进水阀门以切断水源。",
    "建议住户尽快回家检查卫生间设施（马桶、水管、地漏），并联系专业维修人员排查漏水点。"
  ]
}
```

{
  "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。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, master_bathroom_water_leak
- 已选事件数: 25

## 跨天活动摘要
- 2026-07-12: balcony=3, master_bathroom=49, living_room=48, dining_room=48, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-07-12T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T15:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T15:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T15:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-12T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-12T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-12T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "主卫生间漏水传感器触发报警，检测到疑似漏水情况。",
  "reasoning": [
    "1. 核心异常识别：日志显示在 2026-07-12T17:02:00，master_bathroom_water_leak 设备的 BooleanState.StateValue 变为 True。在智能家居安全逻辑中，漏水传感器状态为 True 通常代表检测到水分/泄漏，属于紧急安全事件。",
    "2. 排除误报与关联分析：虽然同一时间段（16:58）阳台门被打开，但这与主卫漏水无直接物理关联。所有运动传感器在 15:30 至 16:30 期间均为空闲状态（Occupancy=0），表明家中可能无人或处于低活动状态，这增加了未察觉的漏水风险（如管道破裂、马桶持续进水等）。",
    "3. 风险评估：主卫生间是用水高频区域，漏水可能导致地板损坏、电路短路或邻里纠纷。鉴于这是明确的传感器报警，且没有对应的“关闭水源”或“人工复位”日志，判定为真实威胁。"
  ],
  "key_evidence": [
    "[2026-07-12T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True",
    "所有房间 occupancy_sensor 在报警前长时间保持 0 (无人状态)，无法通过人员活动确认是否为误触或已处理。"
  ],
  "recommended_actions": [
    "立即推送高优先级警报通知住户手机，提示主卫生间漏水。",
    "建议住户远程检查主卫生间视频（如有摄像头）或联系物业/维修人员上门排查水源。",
    "若配备智能水阀，建议自动执行关闭主供水阀门操作以防止损失扩大。"
  ]
}
```

{
  "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。"
  ]
}


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

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

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

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

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

## 跨天活动摘要
- 2026-07-06: balcony=3, entrance=229, living_room=110, bathroom=57, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-07-06T15:15:20] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T15:35:20] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T15:43:09] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T15:55:20] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-06T16:13:09] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T16:15:20] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T16:35:20] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-06T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-06T17:02:00] bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器检测到漏水状态，且阳台门处于开启状态，存在雨水或外部水源侵入风险。",
  "reasoning": [
    "1. 核心异常触发：日志显示在 17:02:00，bathroom_water_leak (卫生间漏水传感器) 的 BooleanState.StateValue 变为 True，这直接表明该区域检测到液体存在，属于明确的安全威胁信号。",
    "2. 潜在原因关联：在漏水发生前约 4 分钟 (16:58:00)，balcony_door_contact (阳台门传感器) 的状态变为 True (通常代表门被打开)。虽然阳台和卫生间物理位置不同，但阳台门长时间开启可能导致雨水飘入室内，或者如果房屋结构导致水流蔓延，可能间接引发问题；更可能的情况是，用户可能在处理阳台事务时忽略了卫生间的状况，或者漏水源头与阳台无关（如管道破裂），但阳台门的开启增加了环境的不确定性。",
    "3. 排除误报可能性：结合时间线，16:00-16:45 期间洗衣机正在运行 (OperationalState=1)，随后停止。虽然洗衣机故障也可能导致漏水，但传感器位于卫生间而非阳台/洗衣区。然而，无论源头是外部雨水还是内部管道，'水泄漏'这一事实本身构成了需要立即响应的安全事件，以防止地板损坏、电路短路或霉菌滋生。"
  ],
  "key_evidence": [
    "[2026-07-06T17:02:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-06T16:58:00] balcony_door_contact | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "1. 立即推送高优先级警报通知住户，确认卫生间是否有明显积水或漏水点。",
    "2. 建议住户检查卫生间水龙头、马桶及地漏是否正常，并关闭总水阀以防万一。",
    "3. 检查阳台门是否已关闭，若天气恶劣，需防止进一步雨水进入。",
    "4. 若确认为持续漏水，建议联系物业或专业维修人员进行检查。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "洗衣结束后延迟出现漏水",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "按排水系统异常处理，建议检查洗衣机和排水管。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, bathroom_water_leak
- 已选事件数: 19

## 设备事件日志
[2026-07-23T15:26:14] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T15:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T15:33:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T15:53:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-23T16:01:14] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T16:21:14] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T16:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T16:31:00] front_door_lock | DoorLock.LockState = 2
[2026-07-23T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-23T16:46:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-23T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:02:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-23T17:03:00] 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。

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间检测到漏水状态，且阳台洗衣机刚结束运行，存在因洗衣机故障或管道破裂导致的水浸风险。",
  "reasoning": [
    "1. 识别关键异常事件：日志显示在 17:02:00，bathroom_water_leak (卫生间漏水传感器) 的 BooleanState.StateValue 变为 True，明确指示检测到水泄漏。",
    "2. 关联潜在源头：在漏水发生前约 42 分钟（16:00:00），balcony_laundry_washer (阳台洗衣机) 开始运行，并于 16:45:00 停止。虽然洗衣机位于阳台，但现代智能家居中水管可能贯穿多个区域，或者漏水点可能在卫生间但与用水习惯相关；更有可能的是，如果用户刚从阳台回到室内，或者洗衣机排水管连接不当导致溢水/渗漏，需警惕。此外，若漏水发生在卫生间，可能是卫生间自身的水管或地漏问题，与之前的活动无直接因果，但属于独立的高危事件。",
    "3. 排除误报可能性：漏水传感器通常具有较高的特异性，除非环境极度潮湿导致冷凝，否则 'True' 状态通常代表真实泄漏。结合时间戳，这是一个即时发生的物理状态变化，而非长期漂移。"
  ],
  "key_evidence": [
    "[2026-07-23T17:02:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-23T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机近期使用过)"
  ],
  "recommended_actions": [
    "立即检查卫生间地面及周围是否有积水，确认漏水具体位置。",
    "检查阳台洗衣机的进水管和排水管是否松动或破裂，防止水源持续泄漏。",
    "若无法自行解决，建议关闭家庭总水阀并联系专业维修人员。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "洗衣结束后延迟出现漏水",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "按排水系统异常处理，建议检查洗衣机和排水管。"
  ]
}