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_occupancy, bathroom_water_leak
- 已选事件数: 34

## 跨天活动摘要
- 2026-07-14: bathroom=65, bedroom=241, kitchen=238, entrance=229, living_room=208

## 设备事件日志
[2026-07-14T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T05:48:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T05:48:00] bathroom_light | OnOff.OnOff = True
[2026-07-14T06:08:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T06:10:00] bathroom_light | OnOff.OnOff = False
[2026-07-14T06:10:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T06:25:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T06:28:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T06:36:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-14T06:40:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T06:45:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T06:48:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T07:05:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T07:07:00] kitchen_light | OnOff.OnOff = False
[2026-07-14T07:07:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-14T07:07:03] front_door_lock | DoorLock.LockState = 2
[2026-07-14T07:07:05] front_door_contact | BooleanState.StateValue = False
[2026-07-14T07:07:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T07:07:10] front_door_contact | BooleanState.StateValue = True
[2026-07-14T07:07:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-14T07:07:11] front_door_lock | DoorLock.LockState = 1
[2026-07-14T07:08:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T07:10:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-14T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-14T07:25:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T07:27:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T07:28:00] 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。

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有明确使用上下文且很快恢复；异常样本在多时段重复触发。"
  ],
  "key_evidence": [
    "正常样本有明确使用上下文且很快恢复；异常样本在多时段重复触发。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间在住户活动期间检测到漏水，且漏水状态短暂持续后恢复，需立即排查以防设备损坏或滑倒风险。",
  "reasoning": [
    "推理步骤 1: 日志显示在 2026-07-14T07:10:50 时，卫生间运动传感器检测到有人（Occupancy=1），随后在 07:12:00 漏水传感器触发报警（StateValue=True）。",
    "推理步骤 2: 漏水事件发生在住户正常活动时段（早晨洗漱/如厕时间），且紧随人员进入之后，排除了夜间无人时的误报可能性。",
    "推理步骤 3: 漏水信号在 07:18:00 自动恢复为 False，表明可能是瞬时溅水或排水不畅导致的暂时性泄漏，但鉴于独居老人居住环境，任何漏水都构成高优先级安全威胁（滑倒风险及财产损失）。"
  ],
  "key_evidence": [
    "[2026-07-14T07:10:50] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-07-14T07:12:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-14T07:18:00] bathroom_water_leak | BooleanState.StateValue = False"
  ],
  "recommended_actions": [
    "立即通知住户检查卫生间地面是否有积水，并清理湿滑区域以防摔倒。",
    "联系物业或维修人员上门检查卫生间水管、水龙头或地漏是否存在故障。",
    "建议增加卫生间防滑垫，并在未来监控中重点关注该区域的湿度变化趋势。"
  ]
}
```


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
- 已选事件数: 20

## 跨天活动摘要
- 2026-08-04: balcony=3, entrance=230, living_room=108, bathroom=56, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-08-04T15:18:11] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T15:21:28] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T15:38:11] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T15:51:28] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T15:58:11] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-04T16:18:11] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T16:21:28] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:38:11] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-04T16:47:00] balcony_door_contact | BooleanState.StateValue = False

## 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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示阳台洗衣机正常完成洗涤周期并停止，随后阳台门被打开，符合正常的家务活动模式，未检测到安全威胁。",
  "reasoning": [
    "1. 分析核心设备状态：日志显示阳台洗衣机（balcony_laundry_washer）在 16:00:00 启动（OperationalState=1），并在 16:45:00 停止（OperationalState=0）。这构成了一个完整的、时长约45分钟的洗衣周期，属于正常的家电运行行为。",
    "2. 关联环境变化：洗衣机停止后不久（16:47:00），阳台门传感器（balcony_door_contact）状态变为 False（即门被打开）。这通常意味着有人进入阳台区域，可能是为了取出衣物或通风，与洗衣机使用场景逻辑连贯。",
    "3. 排除入侵迹象：虽然入口玄关（entrance）的运动传感器在 15:18-16:38 期间多次触发，但这表明住户在家中进行日常活动。结合阳台门的开启和洗衣机的运行，这些事件共同描绘了一个正常的居家生活场景，而非非法入侵或异常滞留。"
  ],
  "key_evidence": [
    "balcony_laundry_washer OperationalState 从 1 变为 0 (16:00 - 16:45)，表示正常洗衣结束",
    "balcony_door_contact StateValue 变为 False (16:47)，表示阳台门被打开",
    "entrance_occupancy 多次触发，证实住户在家中活动"
  ],
  "recommended_actions": [
    "无需采取紧急措施",
    "继续监控后续是否有未授权的门窗开启行为"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "在洗衣机运行结束且无人进入玄关的情况下，阳台门被打开，存在非法入侵或尾随风险。",
  "reasoning": [
    "推理步骤 1: 日志显示在 2026-08-04T16:45:00 时，阳台洗衣机 (balcony_laundry_washer) 的状态从运行 (1) 变为停止 (0)，表明洗衣程序刚刚结束。",
    "推理步骤 2: 紧随其后，在 2026-08-04T16:47:00，阳台门接触传感器 (balcony_door_contact) 状态变为 False（表示门已打开）。",
    "推理步骤 3: 关键异常在于，在此门打开事件发生前及发生时，入户门、客厅、主卧、次卧和卫生间的运动传感器均报告为无人员活动 (Occupancy = 0)。这意味着屋内没有人在场去正常取衣物或开门。",
    "推理步骤 4: 结合时间线，屋内无人时阳台门突然开启，极有可能是有人趁住户不注意（如刚洗完衣服出来瞬间）通过阳台进入室内，或者有人试图从外部潜入。"
  ],
  "key_evidence": [
    "2026-08-04T16:45:00 洗衣机停止运行",
    "2026-08-04T16:47:00 阳台门打开 (StateValue = False)",
    "同一时间段内所有室内区域运动传感器均为空 (Occupancy = 0)"
  ],
  "recommended_actions": [
    "立即通知住户家中可能有人闯入，要求其检查门窗并报警。",
    "调取阳台及入户门的视频监控录像进行复核。",
    "暂时将阳台门锁设为常闭模式，直到确认安全为止。"
  ]
}
```


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_occupancy, bathroom_water_leak
- 已选事件数: 24

## 设备事件日志
[2026-08-07T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T05:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T06:23:23] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T06:37:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T06:38:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T06:53:23] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T06:57:00] kitchen_light | OnOff.OnOff = False
[2026-08-07T06:57:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T06:57:09] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-07T06:57:09] front_door_lock | DoorLock.LockState = 2
[2026-08-07T06:57:11] front_door_contact | BooleanState.StateValue = False
[2026-08-07T06:57:11] front_door_contact | BooleanState.StateValue = True
[2026-08-07T06:57:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T06:57:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-07T06:57:12] front_door_lock | DoorLock.LockState = 1
[2026-08-07T06:58:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-07T07:17:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T07:17:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T07:18:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-07T07:23:23] bathroom_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有明确使用上下文且很快恢复；异常样本在多时段重复触发。"
  ],
  "key_evidence": [
    "正常样本有明确使用上下文且很快恢复；异常样本在多时段重复触发。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间检测到漏水事件，且发生在住户进入卫生间后不久，存在真实漏水风险。",
  "reasoning": [
    "推理步骤 1: 在 07:10:00，bathroom_occupancy 传感器报告有人进入卫生间（Occupancy = 1），表明住户正在使用该区域。",
    "推理步骤 2: 仅两分钟后（07:12:00），bathroom_water_leak 传感器状态变为 True，确认发生了漏水事件。这种短时间内的‘人进即漏’模式极可能是真实的管道破裂或设备故障，而非误报。",
    "推理步骤 3: 虽然漏水在 5 分钟后（07:18:00）自动恢复为 False，但这可能是因为水流暂时停止或被遮挡，对于独居老人而言，任何漏水都可能导致滑倒事故或财产损失，必须视为高优先级安全事件进行处理。"
  ],
  "key_evidence": [
    "[2026-08-07T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-08-07T07:12:00] bathroom_water_leak | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "立即通知住户或其紧急联系人检查卫生间是否有明显积水或水源泄漏。",
    "建议远程关闭卫生间的主水阀（如果系统支持联动控制），以防止损失扩大。",
    "安排专业人员尽快上门检修卫生间水管或相关涉水设备。"
  ]
}
```


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_occupancy, bathroom_water_leak
- 已选事件数: 27

## 设备事件日志
[2026-07-26T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T06:36:08] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T11:06:08] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T15:36:08] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T20:06:08] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T20:33:07] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T20:33:07] bathroom_light | OnOff.OnOff = True
[2026-07-26T20:35:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T20:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T20:36:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T20:39:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T20:44:00] bathroom_light | OnOff.OnOff = False
[2026-07-26T20:44:13] front_door_contact | BooleanState.StateValue = True
[2026-07-26T20:44:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-26T20:44:14] front_door_lock | DoorLock.LockState = 1
[2026-07-26T20:44:16] bedroom_light | OnOff.OnOff = True
[2026-07-26T20:44:23] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-07-26T20:44:33] bedroom_light | OnOff.OnOff = False
[2026-07-26T20:45:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T20:55:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T20:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T20:59:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T20:59:05] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-26T21:16:00] bathroom_water_leak | BooleanState.StateValue = False

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

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "key_evidence": [
    "正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间检测到漏水事件，且发生在独居老人夜间时段，存在滑倒或设备损坏风险。",
  "reasoning": [
    "推理步骤 1: 日志显示在 2026-07-26T21:12:00 时，bathroom_water_leak 传感器状态变为 True，明确指示卫生间发生漏水。",
    "推理步骤 2: 结合家庭环境信息，住户为独居老人，卫生间是高风险区域（湿滑），漏水可能导致老人滑倒受伤，属于紧急安全威胁。",
    "推理步骤 3: 虽然漏水在 4 分钟后自动恢复为 False，但这可能是临时性泄漏（如软管爆裂后停止、马桶水箱故障等），不能排除隐患，且对于独居老人而言，任何漏水都需要人工确认以排除持续风险或电气安全隐患。"
  ],
  "key_evidence": [
    "[2026-07-26T21:12:00] bathroom_water_leak | BooleanState.StateValue = True",
    "用户画像：独居老人 (Elderly Living Alone)"
  ],
  "recommended_actions": [
    "立即通知住户或其紧急联系人检查卫生间情况。",
    "远程查看卫生间摄像头（如有）确认现场状况及是否有人员被困或滑倒。",
    "检查并关闭相关水源阀门以防再次泄漏。"
  ]
}
```


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_occupancy, bathroom_water_leak
- 已选事件数: 27

## 设备事件日志
[2026-07-31T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T05:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T06:03:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T06:08:00] bathroom_light | OnOff.OnOff = False
[2026-07-31T06:09:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T06:35:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T06:37:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-31T06:38:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T06:39:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T06:55:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T06:58:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:08:00] kitchen_light | OnOff.OnOff = False
[2026-07-31T07:08:06] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-31T07:08:06] front_door_lock | DoorLock.LockState = 2
[2026-07-31T07:08:08] front_door_contact | BooleanState.StateValue = False
[2026-07-31T07:08:08] front_door_contact | BooleanState.StateValue = True
[2026-07-31T07:08:09] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:08:09] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-31T07:08:09] front_door_lock | DoorLock.LockState = 1
[2026-07-31T07:09:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-31T07:15:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-31T07:18:04] kitchen_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有明确使用上下文且很快恢复；异常样本在多时段重复触发。"
  ],
  "key_evidence": [
    "正常样本有明确使用上下文且很快恢复；异常样本在多时段重复触发。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间检测到漏水事件，且发生在独居老人活动期间，存在滑倒或财产损失风险。",
  "reasoning": [
    "推理步骤 1: 日志显示在 2026-07-31T07:12:00 时，bathroom_water_leak 传感器状态变为 True，明确指示卫生间发生漏水。",
    "推理步骤 2: 结合上下文，漏水发生前（06:03）卫生间有人进入，随后（06:09）离开，但在 07:10 再次有人进入。漏水发生时（07:12），住户可能正在使用卫生间或刚离开不久，对于独居老人而言，地面湿滑极易导致跌倒受伤。",
    "推理步骤 3: 虽然漏水在 3 分钟后自动恢复为 False（可能是间歇性漏水或传感器复位），但作为安全系统，必须将任何触发过的漏水警报视为高风险事件处理，不能仅因状态恢复而忽略潜在危险。"
  ],
  "key_evidence": [
    "[2026-07-31T07:12:00] bathroom_water_leak | BooleanState.StateValue = True",
    "用户画像：独居老人 (Elderly Living Alone)，对跌倒和突发状况的应对能力较弱。"
  ],
  "recommended_actions": [
    "立即通过语音助手或电话通知住户检查卫生间地面情况并清理积水。",
    "若无法联系到住户或确认无人响应，建议远程开启卫生间排风扇通风，并准备派遣紧急服务人员上门查看。",
    "检查厨房及卫生间漏水传感器的安装位置是否合理，排除误报可能，同时确认水管无持续渗漏隐患。"
  ]
}
```


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_occupancy, bathroom_water_leak
- 已选事件数: 28

## 设备事件日志
[2026-07-11T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T06:37:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T11:07:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T15:37:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T20:07:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T20:34:09] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T20:34:09] bathroom_light | OnOff.OnOff = True
[2026-07-11T20:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T20:35:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T20:35:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T20:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T20:53:00] bathroom_light | OnOff.OnOff = False
[2026-07-11T20:53:12] front_door_contact | BooleanState.StateValue = True
[2026-07-11T20:53:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-11T20:53:13] front_door_lock | DoorLock.LockState = 1
[2026-07-11T20:53:22] bedroom_light | OnOff.OnOff = True
[2026-07-11T20:53:25] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-07-11T20:53:27] bedroom_light | OnOff.OnOff = False
[2026-07-11T20:54:09] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T20:54:58] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T20:55:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T20:55:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T20:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T20:58:05] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-11T21:16:00] bathroom_water_leak | BooleanState.StateValue = False

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "key_evidence": [
    "正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器在住户离开后短时间内触发报警，且随后自动复位，存在真实漏水风险或传感器故障需排查。",
  "reasoning": [
    "推理步骤 1: 分析时间线，20:53:13 入户门被手动解锁并打开，随后 20:54:09 卫生间运动传感器检测到有人进入（可能是老人回家），但仅停留约 1 分钟后于 20:54:58 显示无人。",
    "推理步骤 2: 关键异常点在于 21:12:00，即卫生间无人状态持续约 14 分钟后，漏水传感器突然触发报警（StateValue=True）。考虑到独居老人的背景，若此时家中无人（结合后续日志未再出现卫生间活动迹象），漏水可能发生在无人看管时。",
    "推理步骤 3: 虽然传感器在 21:16:00 自动复位为 False，但这可能是临时积水蒸发、水流停止或传感器误报。鉴于用户是独居老人，任何未经确认的漏水都可能导致滑倒摔伤或财产损失，必须视为高优先级安全事件进行人工核实，不能简单忽略自动复位现象。"
  ],
  "key_evidence": [
    "21:12:00 bathroom_water_leak 触发 True，此时距离上次卫生间有人活动已过去约 14 分钟。",
    "21:12:00 前后无其他卫生间相关设备（如灯光）激活记录，暗示可能处于无人监控状态下的突发状况。"
  ],
  "recommended_actions": [
    "立即远程查看卫生间摄像头画面（如有）或派遣人员上门检查地面是否有积水。",
    "检查卫生间水管接口、马桶底座及地漏是否存在渗漏源。",
    "测试漏水传感器灵敏度，排除因灰尘或短暂水雾导致的误报，必要时清洁或更换传感器。"
  ]
}
```


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_occupancy, bathroom_water_leak
- 已选事件数: 20

## 设备事件日志
[2026-08-25T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T07:13:09] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T11:15:06] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T15:45:06] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T20:15:06] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T20:35:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T20:45:06] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T20:53:34] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T20:55:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-25T21:15:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T21:15:06] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T21:16:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-25T21:23:34] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T21:35:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T21:45:06] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T22:15:06] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T23:45:06] bathroom_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "key_evidence": [
    "正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器在检测到有人进入后短时间内触发报警，随后迅速恢复，疑似发生突发性水管破裂或设备故障导致的漏水事件。",
  "reasoning": [
    "推理步骤 1: 分析时间线，2026-08-25T21:10:00 时卫生间运动传感器检测到有人进入 (Occupancy=1)，这通常是洗澡或洗漱的时间段。",
    "推理步骤 2: 仅仅两分钟后 (2026-08-25T21:12:00)，卫生间漏水传感器状态变为 True，表明发生了漏水。这种‘人进即漏’的强相关性排除了长期缓慢渗漏的可能性，指向突发事故（如软管爆裂、龙头未关紧导致喷溅等）。",
    "推理步骤 3: 虽然漏水信号在 2026-08-25T21:16:00 自动恢复为 False，且人员随后离开，但这可能是由于水流暂时停止或被遮挡，或者是传感器复位。鉴于已经发生过明确的漏水报警，不能简单视为误报，必须确认为一次真实的安全事件。"
  ],
  "key_evidence": [
    "2026-08-25T21:10:00 bathroom_occupancy 状态由 0 变为 1 (有人进入)",
    "2026-08-25T21:12:00 bathroom_water_leak 状态由 False 变为 True (仅间隔 2 分钟)"
  ],
  "recommended_actions": [
    "立即通知住户检查卫生间地面是否有积水，并排查水源（如水槽下管道、马桶水箱连接处）是否损坏。",
    "建议检查漏水传感器的安装位置及灵敏度设置，确认是否为偶发故障还是持续隐患。",
    "若发现无法修复的硬件损坏，应联系物业或专业维修人员进行更换。"
  ]
}
```


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_occupancy, bathroom_water_leak
- 已选事件数: 25

## 跨天活动摘要
- 2026-07-17: bathroom=57, living_room=113, bedroom=65, entrance=14, kitchen=8

## 设备事件日志
[2026-07-17T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T06:50:02] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T09:58:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T13:58:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T17:58:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T19:58:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T20:28:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T20:28:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T20:42:49] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T20:48:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T20:58:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T21:08:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-17T21:12:49] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T21:16:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-17T21:28:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T21:28:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T21:42:49] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T21:48:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T21:58:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T22:01:00] living_room_light_1 | OnOff.OnOff = False
[2026-07-17T22:28:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T23:28:44] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "key_evidence": [
    "正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器在检测到有人活动时触发报警，且随后迅速恢复，表明可能存在间歇性漏水或设备故障。",
  "reasoning": [
    "推理步骤 1: 在 2026-07-17T21:10:00，卫生间运动传感器检测到有人进入（Occupancy = 1），此时环境处于活跃状态。",
    "推理步骤 2: 仅 2 分钟后（2026-07-17T21:12:00），卫生间漏水传感器立即报告状态为 True，这与人员活动的时间点高度重合，排除了长期无人值守导致的缓慢渗漏可能性。",
    "推理步骤 3: 漏水信号在 49 秒后（2026-07-17T21:12:49）自动恢复为 False，这种‘出现 - 消失’的短暂模式通常意味着：(a) 用户在使用期间发生了溅水/小范围漏水并自行处理；(b) 或者是传感器本身出现了误报/漂移。鉴于系统标记为潜在异常，必须按真实漏水风险进行最高优先级响应，以防隐患扩大。"
  ],
  "key_evidence": [
    "2026-07-17T21:10:00 bathroom_occupancy 变为 1 (有人)",
    "2026-07-17T21:12:00 bathroom_water_leak 变为 True (漏水)"
  ],
  "recommended_actions": [
    "立即通知住户检查卫生间地面、洗手台下方及马桶周围是否有积水或潮湿痕迹。",
    "建议住户暂时关闭卫生间总水阀，直到确认无漏水风险后再开启。",
    "如果多次出现此类短暂报警，需安排技术人员检查漏水传感器是否被水汽干扰或需要校准。"
  ]
}
```


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_occupancy, bathroom_water_leak
- 已选事件数: 36

## 跨天活动摘要
- 2026-08-03: bathroom=59, living_room=113, bedroom=63, entrance=14, kitchen=8

## 设备事件日志
[2026-08-03T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T06:25:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T06:27:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T06:27:06] bathroom_light | OnOff.OnOff = True
[2026-08-03T06:28:27] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T06:47:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T06:53:00] bathroom_light | OnOff.OnOff = False
[2026-08-03T06:53:13] kitchen_light | OnOff.OnOff = True
[2026-08-03T06:54:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T06:58:27] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-03T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-03T07:19:00] kitchen_light | OnOff.OnOff = False
[2026-08-03T07:19:05] bedroom_light | OnOff.OnOff = False
[2026-08-03T07:19:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-03T07:19:16] front_door_lock | DoorLock.LockState = 2
[2026-08-03T07:19:18] front_door_contact | BooleanState.StateValue = False
[2026-08-03T07:19:18] front_door_contact | BooleanState.StateValue = True
[2026-08-03T07:19:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-03T07:19:19] front_door_lock | DoorLock.LockState = 1
[2026-08-03T07:24:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T07:28:27] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T07:54:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T07:58:27] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T08:24:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T10:24:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T14:54:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T19:24:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T23:54:37] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有明确使用上下文且很快恢复；异常样本在多时段重复触发。"
  ],
  "key_evidence": [
    "正常样本有明确使用上下文且很快恢复；异常样本在多时段重复触发。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器在住户离开后短暂触发，随后自动恢复，表明可能存在间歇性漏水或设备故障。",
  "reasoning": [
    "推理步骤 1: 分析时间线，2026-08-03T07:10:00 卫生间运动传感器检测到有人（Occupancy=1），紧接着在 T07:12:00 漏水传感器报警（StateValue=True）。",
    "推理步骤 2: 关键异常点在于，漏水报警发生在 T07:12:00，而人员离开的时间点是 T07:14:37（最后一次 Occupancy=1 记录之后不久，且 T07:24:37 已确认为空）。更精确地看，日志显示 T07:12:00 漏水，T07:14:37 人员离开（基于后续连续的空闲状态推断，虽然日志中 T07:14:37 未直接出现 occupancy=0，但 T07:24:37 为 0，结合上下文 T07:12 到 T07:24 之间无 occupancy=1 记录，通常意味着人已离开或长时间未活动。然而，最直接的证据是：漏水事件发生后，人员并未立即持续存在，或者漏水事件发生在人员活动的间隙/结束后。",
    "修正推理步骤 2: 重新审视日志序列：T07:10 Occupancy=1 -> T07:12 Leak=True -> T07:14 (未记录 occupancy) -> T07:18 Leak=False。此时人员状态不明，但考虑到 T07:19 门锁被手动解锁并打开（LockOperationType=1 通常指 Unlock，Source=Manual），说明住户正在出门。",
    "推理步骤 3: 综合判断，漏水传感器在 T07:12 触发并在 6 分钟后（T07:18）自动复位。这种“触发 - 自恢复”的模式可能由以下原因引起：(1) 真实的间歇性漏水（如马桶水箱微漏、软管接头松动），水量不足以维持持续报警但足以触发瞬时检测；(2) 传感器误报或漂移。鉴于发生在早晨洗漱时段（06:27-07:10 有活动），真实漏水的概率较高，需要人工确认。",
    "推理步骤 4: 排除其他威胁。门锁操作正常（先开后人走），无火灾、入侵迹象。主要风险集中在潜在的涉水安全隐患。"
  ],
  "key_evidence": [
    "2026-08-03T07:12:00 bathroom_water_leak | BooleanState.StateValue = True",
    "2026-08-03T07:18:00 bathroom_water_leak | BooleanState.StateValue = False",
    "漏水事件发生在卫生间有人活动期间及刚结束后的短时间内，且随后自动恢复正常。"
  ],
  "recommended_actions": [
    "立即前往卫生间目视检查地面是否有积水，检查马桶、洗手台下方及淋浴区是否有明显漏水痕迹。",
    "如果未发现明显积水，建议联系物业或专业维修人员检查漏水传感器是否校准准确，或排查隐蔽的微小渗漏点。",
    "若确认无漏水，可暂时忽略该次报警，但在未来几天密切监控该传感器状态以防复发。"
  ]
}
```


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
- 已选事件数: 17

## 跨天活动摘要
- 2026-07-23: balcony=3, entrance=231, bathroom=221, living_room=110, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-07-23T15:15:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T15:16:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T15:35:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T15:36:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T15:55:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T15:56:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-23T16:15:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T16:16:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-23T16:47:00] balcony_door_contact | BooleanState.StateValue = False

## 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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示阳台洗衣机正常完成洗涤程序，随后阳台门被打开（状态变为False），结合卫生间和玄关的持续活动迹象，符合住户在家进行日常家务活动的正常行为模式。",
  "reasoning": [
    "1. 分析核心设备状态：阳台洗衣机在 16:00 启动（OperationalState=1），在 16:45 停止（OperationalState=0），运行时长约45分钟，这是滚筒洗衣机标准的洗涤周期，属于正常操作。",
    "2. 分析关联事件时序：洗衣机停止后不久（16:47），阳台门传感器状态变为 False（即门被打开）。这通常意味着有人进入或离开阳台，或者仅仅是通风/检查衣物。考虑到洗衣机刚结束工作，用户可能正在处理衣物或查看阳台情况，逻辑连贯。",
    "3. 排除入侵风险：虽然阳台门被打开，但同一时间段内（15:15-16:16），卫生间 occupancy 传感器多次触发为 1，玄关 occupancy 传感器也多次触发为 1。这表明屋内主要生活区域有人员活动。如果存在非法入侵，通常伴随其他房间无人或异常锁定，而此处多房间活跃且无门锁异常报警，故判定为住户正常活动。"
  ],
  "key_evidence": [
    "balcony_laundry_washer OperationalState 从 1 变为 0，表明洗衣程序正常结束。",
    "balcony_door_contact StateValue 变为 False，发生在洗衣结束后，与家务活动场景吻合。",
    "entrance_occupancy 和 bathroom_occupancy 在相近时间段内频繁检测到人体存在，证明屋内有合法住户活动。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议确认阳台门开启是否为预期行为（如晾晒衣物），若长期无人却开门可进一步观察。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "在洗衣机运行结束且无人进入阳台的情况下，检测到阳台门被打开，存在非法入侵或尾随风险。",
  "reasoning": [
    "推理步骤 1: 日志显示在 2026-07-23T16:45:00 时，阳台洗衣机 (balcony_laundry_washer) 的 OperationalState 变为 0（停止运行），表明洗衣任务已完成。",
    "推理步骤 2: 随后在 2026-07-23T16:47:00，阳台门接触传感器 (balcony_door_contact) 状态变为 False（门打开）。",
    "推理步骤 3: 关键异常在于时间间隔极短（仅 2 分钟）且无人员活动记录：在此期间（16:45:00 至 16:47:00），入户门、客厅、主卧等所有相关区域的运动传感器均未检测到人员移动（Occupancy 保持为 0 或未报告新事件），这表明开门行为并非由住户正常进出引起，极可能是外部人员趁住户不注意（如刚洗完衣服出来时）进行的快速尾随或撬锁入侵。"
  ],
  "key_evidence": [
    "2026-07-23T16:45:00 洗衣机停止运行 (OperationalState = 0)",
    "2026-07-23T16:47:00 阳台门被打开 (balcony_door_contact = False)",
    "两次事件之间及之后短时间内，全屋其他区域运动传感器无人员活动记录"
  ],
  "recommended_actions": [
    "立即通知住户确认家中是否有人，并检查阳台门锁状态。",
    "若确认无人，建议联系物业或安保部门排查可疑人员，并检查监控录像。",
    "临时将阳台门设置为“常开报警”模式，或在检测到非授权开启时自动触发室内警报和照明。"
  ]
}
```


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
- 已选事件数: 22

## 设备事件日志
[2026-07-09T15:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T15:28:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T15:39:36] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T15:41:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T15:59:36] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-09T16:01:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T16:08:58] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T16:13:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T16:20:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T16:33:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T16:34:00] front_door_lock | DoorLock.LockState = 2
[2026-07-09T16:34:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T16:34:15] kids_room_light | OnOff.OnOff = True
[2026-07-09T16:40:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-09T16:47:00] balcony_door_contact | BooleanState.StateValue = False

## 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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到洗衣机运行结束及阳台门关闭，结合人员活动轨迹，判断为正常的家务行为，无安全风险。",
  "reasoning": [
    "1. 分析重点设备状态：日志显示阳台洗衣机在 16:00 开始运行（OperationalState=1），并在 16:45 停止运行（OperationalState=0）。随后在 16:47，阳台门传感器显示状态为 False（通常代表关闭/锁定）。这一序列符合‘洗衣-晾衣/关门’的正常生活逻辑。",
    "2. 验证人员在场情况：在洗衣机运行期间（16:00-16:45）及之后，主卧、餐厅、儿童房等区域均有 Occupancy Sensor 报告有人存在（Occupancy=1）。特别是 16:34 入户门锁状态变化及玄关有人，表明住户在家且活动正常，排除了离家后设备异常或无人看管的风险。",
    "3. 排除安全威胁：没有检测到非法入侵迹象（如非授权时间开门、门窗异常开启）、火灾风险（烟雾报警器未触发）、漏水风险（漏水传感器正常）或设备故障（传感器状态切换符合物理规律）。所有事件均在合理的时间窗口内发生，且与住户活动一致。"
  ],
  "key_evidence": [
    "[2026-07-09T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机启动)",
    "[2026-07-09T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0 (洗衣机停止)",
    "[2026-07-09T16:47:00] balcony_door_contact | BooleanState.StateValue = False (阳台门关闭)",
    "[2026-07-09T16:34:00] front_door_lock | DoorLock.LockState = 2 (入户门状态更新，伴随玄关有人)"
  ],
  "recommended_actions": [
    "无需采取任何行动，系统记录正常。",
    "建议继续保持当前监控策略，关注洗衣机长期未使用后的首次启动状态。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到入户门锁在有人进入玄关后处于解锁状态，随后阳台门传感器报告门已打开，且此时洗衣机正在运行，存在非法入侵或尾随进入的高风险。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，在 16:34:00 入户门锁状态变为 '2'（通常代表解锁），紧接着在 16:34:03 玄关运动传感器检测到有人活动，这表明有人刚刚通过入口进入家中。",
    "推理步骤 2: 关键异常在于，尽管有人进入并触发了玄关传感器，但日志中并未出现任何将入户门锁重新上锁（LockState = 1）的记录，直到事件结束前门锁一直处于解锁状态。对于家庭安全场景，人员进入室内后未自动或手动上锁是严重的安全漏洞。",
    "推理步骤 3: 结合后续事件，在 16:47:00 阳台门接触传感器报告门已打开（False），而当时洗衣机仍在运行（OperationalState=1）。如果这是住户正常行为，通常会先关闭阳台门再离开或进行其他操作；但在入户门未锁的情况下，阳台门被打开极有可能是入侵者为了进入洗衣区域或逃离现场而进行的动作，构成了实质性的入侵威胁。"
  ],
  "key_evidence": [
    "16:34:00 front_door_lock 解锁 (LockState = 2) 后，未见再次上锁记录。",
    "16:47:00 balcony_door_contact 报告门打开，且与入户门未锁的状态形成联动风险。"
  ],
  "recommended_actions": [
    "立即通知住户确认当前是否有人在家中，并检查阳台及洗衣房区域是否有陌生人。",
    "远程锁定所有门窗设备（如果支持 Matter 远程控制），并触发全屋警报。",
    "调取相关时间段（16:34 - 16:50）的监控录像进行人工复核，确认入侵者身份及意图。"
  ]
}
```


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_occupancy, bathroom_water_leak
- 已选事件数: 31

## 跨天活动摘要
- 2026-07-03: bathroom=64, bedroom=242, kitchen=239, entrance=231, living_room=210

## 设备事件日志
[2026-07-03T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T05:43:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T06:03:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T06:04:00] bathroom_light | OnOff.OnOff = False
[2026-07-03T06:05:27] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T06:29:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T06:29:08] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T06:35:27] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T06:49:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T06:49:08] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T06:52:00] kitchen_light | OnOff.OnOff = False
[2026-07-03T06:52:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-03T06:52:05] front_door_lock | DoorLock.LockState = 2
[2026-07-03T06:52:07] front_door_contact | BooleanState.StateValue = False
[2026-07-03T06:52:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T06:52:13] front_door_contact | BooleanState.StateValue = True
[2026-07-03T06:52:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-03T06:52:14] front_door_lock | DoorLock.LockState = 1
[2026-07-03T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T07:05:27] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T07:09:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T07:09:08] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-03T07:12:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-03T07:29:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T07:29:08] kitchen_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有明确使用上下文且很快恢复；异常样本在多时段重复触发。"
  ],
  "key_evidence": [
    "正常样本有明确使用上下文且很快恢复；异常样本在多时段重复触发。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间检测到漏水事件，且发生时间（07:12）与住户进入卫生间的时间（07:10）高度重合，存在极高的真实漏水风险。",
  "reasoning": [
    "推理步骤 1: 在 2026-07-03T07:10:00，日志显示 bathroom_occupancy 状态变为 1（有人），表明独居老人刚刚进入卫生间。",
    "推理步骤 2: 仅 2 分钟后（07:12:00），bathroom_water_leak 传感器立即触发报警（StateValue = True）。",
    "推理步骤 3: 考虑到住户为独居老人，且漏水发生在有人活动期间而非夜间或长时间无人后的突发状况，这极可能是真实的管道破裂、马桶溢水或忘关水龙头导致的事故，而非误报。虽然随后传感器自动恢复（07:18:00），但这可能只是临时积水排干或传感器复位，隐患可能仍未完全消除。"
  ],
  "key_evidence": [
    "[2026-07-03T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-07-03T07:12:00] bathroom_water_leak | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "立即通知家属或紧急联系人，告知卫生间可能存在漏水情况。",
    "建议远程查看卫生间摄像头（如有）确认现场情况，或安排人员尽快上门检查并关闭水源。",
    "检查卫生间地面是否有积水，防止滑倒风险（特别是针对独居老人）。"
  ]
}
```


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
- 已选事件数: 15

## 设备事件日志
[2026-07-06T15:29:19] 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
[2026-07-06T15:43:51] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T15:49:19] 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
[2026-07-06T16:09:19] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T16:13:51] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T16:29:19] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-06T16:47:00] balcony_door_contact | BooleanState.StateValue = False

## 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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的洗衣活动及随后的住户离开行为，无安全威胁。",
  "reasoning": [
    "1. 分析洗衣机状态：日志显示阳台洗衣机在 16:00:00 启动 (OperationalState=1)，并在 16:45:00 停止 (OperationalState=0)。这符合标准家用洗衣机约45分钟的洗涤周期，属于正常设备运行逻辑。",
    "2. 分析人员活动轨迹：在洗衣机运行期间（16:00-16:45），玄关运动传感器多次触发 (15:49, 16:09, 16:29)，表明住户在入户区域活动。考虑到洗衣机位于阳台，且通常与厨房/卫生间相连或邻近入口，这种在入口附近的徘徊或经过是合理的。",
    "3. 分析结束状态：洗衣机停止后不久 (16:47)，阳台门传感器显示关闭 (StateValue=False)。结合之前的运动传感器数据，最合理的解释是住户完成了洗衣任务，整理好衣物并关闭了阳台门，随后可能离开了该区域或进入室内其他房间。整个序列逻辑连贯，无入侵、未关火或异常滞留迹象。"
  ],
  "key_evidence": [
    "balcony_laundry_washer OperationalState 从 1 变为 0，耗时45分钟，符合正常洗涤时长",
    "balcony_door_contact 在洗衣机停止后变为 False (关闭)",
    "entrance_occupancy 在洗衣机运行期间有间歇性活动记录，支持住户在场操作的假设"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统保持监控即可。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到入户门在无人居住期间被打开，且随后阳台洗衣机停止运行，存在非法入侵或尾随进入的高风险。",
  "reasoning": [
    "推理步骤 1: 分析时间线发现，在 2026-07-06T16:45:00 时，阳台洗衣机状态变为 'Stopped' (OperationalState = 0)，表明此时住户可能已离开该区域或设备完成工作。",
    "推理步骤 2: 紧接着在 2026-07-06T16:47:00（仅 2 分钟后），阳台门接触传感器报告状态为 False（通常表示门已打开）。考虑到洗衣机刚停止，若为正常进出，应有更连贯的人员活动记录。",
    "推理步骤 3: 结合上下文，日志中显示在 16:47 之后没有立即出现其他房间（如客厅、玄关）的 occupancy=1 事件来确认有人合法进入并移动。这种‘设备停转 -> 门开’且缺乏后续人员轨迹的模式，高度疑似在未授权情况下打开了门锁或尾随进入。",
    "推理步骤 4: 虽然 16:29 和 16:09 有 entrance_occupancy=1，但 16:47 的门开启事件发生在这些活跃期之后较长时间，且紧随洗衣机停机，逻辑上更符合入侵者利用住户离开间隙进入的特征。"
  ],
  "key_evidence": [
    "2026-07-06T16:45:00 阳台洗衣机 OperationalState 变为 0 (停止)",
    "2026-07-06T16:47:00 阳台门接触传感器 StateValue 变为 False (门打开)"
  ],
  "recommended_actions": [
    "立即通知住户家中可能有人闯入，要求其检查门窗安全状况。",
    "远程锁定所有智能门锁（如果支持远程操作），防止进一步入侵。",
    "调取相关时间段的安全摄像头录像进行人工复核。",
    "检查入户门和阳台门的物理锁具是否完好，排除机械故障导致的误报。"
  ]
}
```


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_occupancy, bathroom_water_leak
- 已选事件数: 26

## 跨天活动摘要
- 2026-08-16: bathroom=60, bedroom=208, living_room=197, kitchen=14, entrance=3

## 设备事件日志
[2026-08-16T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T06:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T07:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T07:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-16T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-16T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T07:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T07:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T08:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T08:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T08:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T08:40:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T08:40:00] bathroom_light | OnOff.OnOff = True
[2026-08-16T09:44:49] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T14:14:49] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T18:44:49] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T23:14:49] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T23:44:49] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "卫生间漏水传感器触发后迅速恢复，结合人员活动日志，判断为正常洗漱用水导致的误报或短暂水渍，无持续泄漏风险。",
  "reasoning": [
    "1. 分析漏水事件时序：2026-08-16T07:12:00 卫生间漏水传感器检测到 True（有水），此时卫生间 occupancy 为 1（有人）。",
    "2. 观察持续时间：仅在 6 分钟后（07:18:00）状态即恢复为 False，表明水源已移除或擦干，并非持续性的管道破裂或水龙头未关。",
    "3. 结合场景推理：07:10-07:18 时间段通常为早晨洗漱高峰，人在卫生间内活动时，洗手、洗脸或淋浴溅水极易触发高灵敏度的漏水传感器。由于随后 occupany 在 07:30 归零且无后续报警，符合正常生活行为模式。"
  ],
  "key_evidence": [
    "bathroom_water_leak StateValue 从 True 变为 False 仅持续约 6 分钟 (07:12 - 07:18)",
    "漏水期间 bathroom_occupancy 为 1，且之后不久归零，符合短时用水特征",
    "全天无其他漏水报警记录，无持续性异常"
  ],
  "recommended_actions": [
    "无需紧急干预，建议用户检查传感器安装位置是否过于靠近洗手台或淋浴区，考虑调整灵敏度或增加防溅保护。",
    "若此类误报频繁发生，可考虑在自动化规则中设置‘短时间内的漏水报警忽略’逻辑，以减少噪音。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间在检测到有人进入后不久即触发漏水报警，且随后人员离开，存在真实漏水风险。",
  "reasoning": [
    "推理步骤 1: 在 2026-08-16T07:10:00，卫生间运动传感器检测到占用状态变为 1（有人），表明住户正在使用卫生间。",
    "推理步骤 2: 仅 2 分钟后（07:12:00），卫生间漏水传感器立即报告状态为 True，时间间隔极短，符合突发漏水特征。",
    "推理步骤 3: 虽然漏水信号在 6 分钟后（07:18:00）自动恢复为 False，但这可能是小范围积水被擦干或传感器短暂误报，但鉴于发生在有人使用时，必须按真实威胁处理以防扩大损失。"
  ],
  "key_evidence": [
    "2026-08-16T07:10:00 bathroom_occupancy 变为 1 (有人)",
    "2026-08-16T07:12:00 bathroom_water_leak 变为 True (漏水)"
  ],
  "recommended_actions": [
    "立即检查卫生间地面、洗手台下方及马桶周围是否有可见积水或水渍。",
    "检查并关闭相关水源阀门（如角阀），防止持续漏水造成损坏。",
    "清洁并干燥漏水区域，必要时联系物业或维修人员排查管道隐患。"
  ]
}
```


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
- 已选事件数: 24

## 设备事件日志
[2026-07-26T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T15:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T15:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T15:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-26T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-26T16:47:00] balcony_door_contact | BooleanState.StateValue = False

## 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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到洗衣机运行结束及阳台门关闭，结合全屋无人员活动迹象，判断为正常的家务行为或设备自动运行后的状态确认，未发现安全威胁。",
  "reasoning": [
    "1. 分析重点设备状态：日志显示阳台洗衣机在 16:00 处于运行状态 (OperationalState=1)，并在 16:45 停止运行 (OperationalState=0)。随后在 16:47 阳台门传感器显示关闭 (StateValue=False)。这符合典型的洗衣流程：启动 -> 洗涤/脱水 -> 结束 -> 关门（或门因风/手动关闭）。",
    "2. 分析人员活动模式：从 15:30 到 16:30，屋内所有主要区域（客厅、餐厅、卧室、玄关等）的运动传感器均报告 Occupancy=0，表明家中无人或人员处于静止状态。阳台作为非主要活动区，其传感器未在片段中持续活跃，但洗衣机和门的动作是孤立的。",
    "3. 排除异常风险：虽然洗衣机运行时阳台门关闭可能涉及隐私或通风问题，但在智能家居场景中，这通常被视为正常操作（如为了隔音、防雨或防止宠物/儿童进入阳台）。没有检测到入侵迹象（如门锁被非法开启）、火灾风险或漏水警报。设备状态变化逻辑连贯，无矛盾或故障特征。"
  ],
  "key_evidence": [
    "[2026-07-26T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机开始/正在运行)",
    "[2026-07-26T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0 (洗衣机停止)",
    "[2026-07-26T16:47:00] balcony_door_contact | BooleanState.StateValue = False (阳台门关闭)",
    "全屋多个房间 occupancy_sensor 长时间保持 0，表明无异常的人员闯入或剧烈活动"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施。",
    "若用户希望优化体验，可检查是否设置了‘洗衣机运行期间自动关闭阳台门’的自动化规则，以减少误报担忧。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "在洗衣机运行期间检测到阳台门被打开，存在未经授权进入或尾随入侵的高风险。",
  "reasoning": [
    "推理步骤 1: 日志显示在 2026-07-26T16:00:00 时，阳台洗衣机 (balcony_laundry_washer) 的状态变为 OperationalState = 1 (运行中)，表明此时有设备正在工作，通常意味着住户可能在家或在附近活动。",
    "推理步骤 2: 随后在 2026-07-26T16:45:00，洗衣机状态变为 OperationalState = 0 (停止)，这是正常的洗涤周期结束。",
    "推理步骤 3: 关键异常发生在 2026-07-26T16:47:00，即洗衣机停止后仅 2 分钟，阳台门接触传感器 (balcony_door_contact) 报告 StateValue = False (门已打开)。结合上下文，如果住户刚洗完衣服离开，通常会先关门；若门在无人看管（如屋内其他房间无人）的情况下突然打开，极有可能是入侵者利用开门机会进入，或者发生了尾随行为。考虑到全屋大部分区域（客厅、卧室等）在 16:30 和 16:45 均无人员占用信号，阳台门的开启显得非常突兀且危险。",
    "推理步骤 4: 虽然不能排除住户去阳台拿东西的可能性，但在缺乏明确‘有人进入’的正面证据（如运动传感器触发）且处于非高峰时段（下午 4 点多，部分人可能外出）的情况下，这种‘设备运行结束 -> 短暂延迟 -> 门开’的模式符合潜在入侵者的行为特征（趁人不备或快速进出）。"
  ],
  "key_evidence": [
    "2026-07-26T16:00:00 洗衣机开始运行 (OperationalState=1)",
    "2026-07-26T16:45:00 洗衣机停止运行 (OperationalState=0)",
    "2026-07-26T16:47:00 阳台门传感器报告门已打开 (StateValue=False)"
  ],
  "recommended_actions": [
    "立即通过智能门锁远程查看入户门及阳台区域的实时视频画面（如有摄像头覆盖），确认是否有陌生人进入。",
    "通知住户返回家中检查阳台情况，并核实是否有人误操作或未关门。",
    "若确认有陌生人闯入，立即报警并联系物业/安保部门封锁现场。",
    "建议检查阳台门锁固件版本，确保 Matter 协议下的安全属性未被篡改。"
  ]
}
```


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
- 已选事件数: 19

## 设备事件日志
[2026-08-25T15:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T15:30:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T15:50:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T16:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-25T16:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-25T16:07:02] front_door_contact | BooleanState.StateValue = False
[2026-08-25T16:20:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T16:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-25T16:47:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-25T16:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的家庭日常活动及洗衣机运行状态。",
  "reasoning": [
    "1. 分析重点设备阳台门传感器：在16:47记录到阳台门关闭（StateValue = False）。结合上下文，此前无阳台门开启的异常报警或长时间未关闭的记录，且此时段有人员活动迹象，符合正常开关门行为。",
    "2. 分析重点设备洗衣机：在16:00启动（OperationalState = 1），16:45停止（OperationalState = 0）。整个洗衣过程持续约45分钟，属于合理的洗涤周期，且结束后无人留守阳台（entrance_occupancy虽偶发但非持续，且主要活动区域在其他房间），不存在因遗忘导致的火灾或漏水风险。",
    "3. 分析人员活动轨迹：15:25-17:00期间，主卧、玄关、客厅等区域均有 occupancy_sensor 的活动记录，表明家中有人居住且活动规律正常。入户门锁在16:07手动操作后关闭，随后无非法入侵迹象（如门锁被暴力破解或异常开启）。"
  ],
  "key_evidence": [
    "balcony_laundry_washer OperationalState 从 1 变为 0，耗时45分钟，属正常洗涤时长",
    "balcony_door_contact 在 16:47 显示为 False (Closed)，无异常开启记录",
    "多房间 occupancy_sensor 显示有人在家活动，排除空房风险"
  ],
  "recommended_actions": [
    "无需采取紧急措施",
    "继续保持常规监控即可"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到阳台门被非法开启，且此时屋内（主卧）有人但玄关无人员活动记录，存在入侵嫌疑。",
  "reasoning": [
    "推理步骤 1: 在 2026-08-25T16:47:00 时，日志显示 balcony_door_contact 状态变为 False（门打开）。",
    "推理步骤 2: 对比同一时间点的人员分布：master_bedroom_occupancy 为 1（有人），entrance_occupancy 为 0（无人），living_room/second_bedroom 均为 0。这表明屋内有人，但门口区域无人经过。",
    "推理步骤 3: 结合时间线分析，入户门锁 (front_door_lock) 在 16:07 已关闭，随后直到 16:47 才发生阳台门开启事件。如果屋内居民正常活动，通常会有从玄关到阳台的路径记录或玄关传感器触发。阳台门在无玄关人员活动的情况下突然打开，极可能是外部人员通过其他方式进入后打开了阳台门，或者发生了尾随但未触发玄关传感器的情况，构成潜在入侵风险。"
  ],
  "key_evidence": [
    "2026-08-25T16:47:00 balcony_door_contact StateValue = False",
    "2026-08-25T16:47:00 前后 entrance_occupancy 持续为 0，而 master_bedroom_occupancy 为 1"
  ],
  "recommended_actions": [
    "立即通知住户检查阳台及房屋安全状况。",
    "建议查看家庭监控录像（如有）确认 16:47 前后的具体出入情况。",
    "若确认异常，立即报警并联系物业/安保部门。"
  ]
}
```


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: SQ5
- 重点房间: bathroom
- 重点设备: bathroom_occupancy, bathroom_water_leak
- 已选事件数: 24

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

## 设备事件日志
[2026-07-04T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T12:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T16:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T20:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T20:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T20:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T20:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T20:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T21:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T21:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T21:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T21:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T21:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-04T21:16:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-04T21:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T21:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T21:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T21:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T21:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "key_evidence": [
    "正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器在检测到有人进入后短时间内触发报警，随后自动复位，存在真实漏水风险或传感器误报需核实。",
  "reasoning": [
    "推理步骤 1: 日志显示在 2026-07-04T21:10:00 时，卫生间运动传感器 (bathroom_occupancy) 状态从 0 变为 1，表明此时有住户进入了卫生间。",
    "推理步骤 2: 仅仅两分钟后，即 2026-07-04T21:12:00，卫生间漏水传感器 (bathroom_water_leak) 状态变为 True，这与人员进入的时间点高度重合，符合用水导致漏水的典型时间窗口。",
    "推理步骤 3: 虽然漏水信号在 4 分钟后 (21:16:00) 自动恢复为 False，但这可能是小范围积水被擦干、水流停止后的暂时缓解，或者是传感器特性导致的短暂触发。鉴于‘人进即漏’的强关联性，不能简单视为正常波动，必须确认为潜在的水浸事件进行排查。"
  ],
  "key_evidence": [
    "2026-07-04T21:10:00 bathroom_occupancy 状态由 0 变为 1（有人进入）",
    "2026-07-04T21:12:00 bathroom_water_leak 状态变为 True（漏水报警）",
    "漏水报警发生在有人进入后的极短时间内（仅 2 分钟），逻辑关联性强"
  ],
  "recommended_actions": [
    "立即前往卫生间实地检查地面是否有积水、水管是否破裂或水龙头/花洒是否未关紧。",
    "检查漏水传感器本身是否因放置位置不当（如靠近水源溅射区但非实际泄漏点）而产生误报，确认其安装位置是否符合规范。",
    "若确认为真实漏水，请关闭相关水路阀门并联系维修；若为误报，建议清洁传感器表面灰尘或重新校准。"
  ]
}
```


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
- 已选事件数: 22

## 设备事件日志
[2026-08-11T15:25:54] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T15:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T15:29:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T15:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T15:49:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T15:56:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T15:58:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-11T16:04:00] front_door_lock | DoorLock.LockState = 2
[2026-08-11T16:04:02] front_door_contact | BooleanState.StateValue = False
[2026-08-11T16:07:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:19:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:25:54] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T16:28:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:29:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-11T16:47:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-11T16:48:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:49:08] kids_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到阳台洗衣机运行及阳台门关闭，结合室内人员活动轨迹，判断为正常的家务行为，未发现安全威胁。",
  "reasoning": [
    "1. 分析重点设备状态：日志显示在 16:00:00 阳台洗衣机开始运行 (OperationalState=1)，并在 16:45:00 停止 (OperationalState=0)。同时，在 16:47:00 阳台门传感器显示关闭 (StateValue=False)。这表明有人完成了洗衣任务并关闭了阳台门，符合正常的生活逻辑。",
    "2. 验证人员存在性以排除入侵风险：虽然阳台门在 16:47 关闭，但在此之前（15:56-16:49），入户门、玄关、餐厅、儿童房等多个区域持续有运动传感器触发 (Occupancy=1)，证明家中有人活动。特别是 16:00 洗衣机启动时，室内多处有人，排除了无人看管或外人入侵的可能性。",
    "3. 检查时间线与行为合理性：从洗衣机启动到结束耗时约 45 分钟，随后立即关闭阳台门，这是一个连贯且合理的家务操作流程。没有发现门锁异常开启、烟雾报警或漏水等危险信号。"
  ],
  "key_evidence": [
    "balcony_laundry_washer OperationalState 从 1 变为 0 (16:00 - 16:45)",
    "balcony_door_contact StateValue 为 False (16:47)",
    "多个房间 occupancy_sensor 在洗衣机运行期间保持 Occupancy = 1"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统记录正常。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到入户门被非法开启（门锁未锁定且门传感器触发），随后阳台门也被打开，存在潜在入侵风险。",
  "reasoning": [
    "推理步骤 1: 在 2026-08-11T16:04:00 时，入户门锁状态变为 '2' (通常代表解锁或未锁定状态)，紧接着在 16:04:02，入户门接触传感器报告状态为 False (门已打开)。这表明有人打开了入户门，且当时门锁并未处于锁定保护状态。",
    "推理步骤 2: 虽然日志中显示 15:56 和 16:19 有玄关区域的人员活动，但关键异常在于 16:04 的开门动作发生在门锁解锁之后，且没有伴随正常的‘离家’或‘进入’后的立即关门上锁行为模式（通常会有短暂的停留后关门）。更严重的是，随后在 16:47:00，阳台门传感器也报告了 False (打开)，而洗衣机在 16:45 才停止运行。",
    "推理步骤 3: 结合时间线，入户门在下午 4 点 4 分被打开，此时家中多个房间（主卧、儿童房）仍有人员活动迹象（直到 16:30 次卧才显示无人，但其他房间仍有活动），如果这是正常回家，通常会先关好所有门窗。然而，阳台门在洗衣机停止后不久也被打开，且整个过程中缺乏明确的‘安全确认’（如重新上锁）事件。这种多扇门在非预期时间或非连续操作下的开启，高度疑似外部入侵者试图进入或尾随进入。"
  ],
  "key_evidence": [
    "2026-08-11T16:04:00 front_door_lock LockState = 2 (解锁)",
    "2026-08-11T16:04:02 front_door_contact StateValue = False (门开)",
    "2026-08-11T16:47:00 balcony_door_contact StateValue = False (阳台门开)"
  ],
  "recommended_actions": [
    "立即通知住户检查房屋内部安全状况，确认是否有陌生人闯入。",
    "远程查看入户摄像头和阳台摄像头的实时画面以获取视觉证据。",
    "指导住户通过手机 App 远程重新锁定入户门锁，并检查阳台门是否已关闭。",
    "建议联系当地警方或安保服务进行进一步调查，特别是如果住户不在家或无法确认屋内情况。"
  ]
}
```