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: 19

## 设备事件日志
[2026-08-22T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T08:54:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T11:17:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T15:47:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T20:17:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T20:37:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T20:38:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T20:47:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T20:57:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T20:58:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-22T21:16:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-22T21:17:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T21:17:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T21:18:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T21:37:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T21:38:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

{
  "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，且发生时有人员在场，需立即排查水源并检查设备状态。",
  "reasoning": [
    "推理步骤 1: 在 2026-08-22T21:12:00 时，bathroom_water_leak 传感器报告 StateValue 为 True，明确指示卫生间存在漏水情况。",
    "推理步骤 2: 结合时间线分析，漏水发生前 2 分钟 (21:10:00) bathroom_occupancy 传感器检测到有人进入 (Occupancy = 1)，表明当时有住户在卫生间内活动，增加了事故发生的真实性和紧急性。",
    "推理步骤 3: 虽然漏水信号在 4 分钟后自动恢复为 False，但这可能是水流暂时停止或传感器短暂误报，鉴于已触发过报警且有人在场，不能排除持续渗漏或设备故障风险，必须视为有效安全事件处理。"
  ],
  "key_evidence": [
    "[2026-08-22T21:12:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-22T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1"
  ],
  "recommended_actions": [
    "立即通知住户前往卫生间检查地面是否有积水，并关闭相关水源（如洗手盆角阀、马桶进水阀等）。",
    "检查卫生间漏水传感器及附近水管/龙头是否损坏，确认是否为设备故障导致的误报还是真实泄漏。",
    "若确认无实际漏水但传感器反复异常，建议联系技术支持进行校准或更换传感器。"
  ]
}
```


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: 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
- 2026-08-10: bathroom=58, living_room=111, bedroom=72, entrance=14, kitchen=8

## 设备事件日志
[2026-08-10T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T06:29:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T06:32:09] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T06:32:09] bathroom_light | OnOff.OnOff = True
[2026-08-10T06:34:34] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T06:52:09] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T06:55:00] bathroom_light | OnOff.OnOff = False
[2026-08-10T06:55:13] kitchen_light | OnOff.OnOff = True
[2026-08-10T06:55:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T07:04:34] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-10T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-10T07:25:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T07:30:00] kitchen_light | OnOff.OnOff = False
[2026-08-10T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T07:30:04] bedroom_light | OnOff.OnOff = False
[2026-08-10T07:30:13] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-10T07:30:13] front_door_lock | DoorLock.LockState = 2
[2026-08-10T07:30:15] front_door_contact | BooleanState.StateValue = False
[2026-08-10T07:30:17] front_door_contact | BooleanState.StateValue = True
[2026-08-10T07:30:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-10T07:30:18] front_door_lock | DoorLock.LockState = 1
[2026-08-10T07:34:34] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T07:55:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T08:25:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T10:25:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T14:55:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T19:25:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T23:25:40] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

{
  "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有人占用期间触发报警，随后自动复位，存在真实漏水风险。",
  "reasoning": [
    "推理步骤 1: 在 2026-08-10T07:10:00 时，卫生间运动传感器检测到有人进入 (Occupancy = 1)，表明此时有住户正在使用卫生间。",
    "推理步骤 2: 仅两分钟后 (2026-08-10T07:12:00)，卫生间漏水传感器状态变为 True，且发生在有人占用的时间段内，这符合真实漏水事件的典型特征（如忘关水龙头、水管破裂等），而非误报。",
    "推理步骤 3: 虽然传感器在 07:18:00 自动恢复为 False，但这可能是因为水流暂时停止或传感器阈值特性，不能排除持续渗漏或设备故障导致的水患风险，需要人工确认现场情况。"
  ],
  "key_evidence": [
    "[2026-08-10T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-08-10T07:12:00] bathroom_water_leak | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "立即通知住户前往卫生间检查是否有明显积水、水渍或水源泄漏点。",
    "建议住户关闭卫生间总水阀以防事态扩大，并拍照记录现场情况以便后续维修。",
    "若发现无法自行处理的严重漏水，应联系专业水电工进行检修。"
  ]
}
```


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: 18

## 设备事件日志
[2026-07-25T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T15:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-25T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-25T16:47:00] 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，结合全屋无人员活动迹象，判断为正常的家务行为或离家状态，未构成安全风险。",
  "reasoning": [
    "1. 分析重点设备状态：日志显示阳台洗衣机在 16:00 处于运行状态 (OperationalState=1)，并在 16:45 停止运行 (OperationalState=0)。随后在 16:47 阳台门传感器报告状态为 False（通常代表关闭/锁定）。这一序列符合“洗衣完成 -> 关门”的正常逻辑闭环。",
    "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、卧室、卫生间、玄关）的运动传感器均显示 Occupancy=0，表明家中无人或处于极度静止状态。",
    "3. 综合风险评估：虽然洗衣机在无人监控的情况下运行（通常需关注漏水风险），但日志中并未出现漏水传感器报警、烟雾报警或门锁异常开启等危险信号。且洗衣机已正常停止，门已关闭，没有证据表明存在入侵、火灾或设备故障导致的持续危险。因此，当前状态判定为安全。"
  ],
  "key_evidence": [
    "balcony_laundry_washer OperationalState 从 1 变为 0 (16:00-16:45)",
    "balcony_door_contact BooleanState.StateValue = False (16:47)",
    "全屋 occupancy_sensor 在 15:30-16:30 期间均为 0"
  ],
  "recommended_actions": [
    "无需立即干预，系统保持监控即可。",
    "建议检查洗衣机是否具备自动断水断电功能，以进一步降低无人值守时的潜在隐患。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "在洗衣机停止运行且全屋无人（包括阳台）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 2026-07-25T16:45:00 时，阳台洗衣机状态从运行 (OperationalState=1) 变为停止 (OperationalState=0)，表明洗衣程序已结束。",
    "推理步骤 2: 在此时间点之前及之后，所有房间（包括客厅、卧室、卫生间、玄关和阳台）的运动传感器均报告 Occupancy = 0，确认当时家中无人在场。",
    "推理步骤 3: 关键异常发生在 2026-07-25T16:47:00，即洗衣机停止后约 2 分钟，阳台门接触传感器状态变为 False（表示门已打开）。结合‘无人’和‘设备刚结束工作’的背景，这极不可能是住户正常行为，高度疑似有人趁无人之机进入阳台区域进行非法活动。"
  ],
  "key_evidence": [
    "2026-07-25T16:45:00 阳台洗衣机 OperationalState 变为 0（停止）。",
    "2026-07-25T16:47:00 阳台门接触传感器 StateValue 变为 False（门开），而此时所有其他房间运动传感器均为 0（无人）。"
  ],
  "recommended_actions": [
    "立即通过智能门锁远程锁定入户门，防止进一步入侵。",
    "向住户发送紧急警报通知，告知阳台门异常开启事件。",
    "调取阳台及周边监控录像（如有）以确认入侵者身份和行为。",
    "检查阳台窗户及其他外部入口的传感器状态，确保无其他未察觉的入侵点。"
  ]
}
```


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
[2026-08-25T15:29:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T15:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T15:34:33] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T15:54:33] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-25T16:04:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T16:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-25T16:08:02] front_door_contact | BooleanState.StateValue = False
[2026-08-25T16:24:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T16:33:03] 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
[2026-08-25T16:53:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T17:04:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到阳台洗衣机运行及入户门短暂开启，结合运动传感器数据，判断为住户正常进行洗衣家务活动，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 启动（OperationalState=1），于 16:45 停止（OperationalState=0），持续时长 45 分钟，符合标准洗衣程序的时间特征，属于正常家电使用行为。",
    "2. 分析门禁与人员轨迹：16:08 入户门锁被手动打开（Manual），随后门磁显示关闭。同时，玄关（entrance）和主卧（master_bedroom）的运动传感器在 16:08 前后均检测到有人活动（Occupancy=1）。这表明是住户本人回家或进出房间，而非非法入侵。",
    "3. 排除异常模式：虽然阳台门传感器在 16:47 显示关闭（False），但此时洗衣机已停止工作，且没有伴随其他未授权进入的迹象（如深夜闯入、多次失败尝试等）。整个事件序列逻辑连贯，符合日常居家生活场景。"
  ],
  "key_evidence": [
    "balcony_laundry_washer OperationalState 从 1 变为 0，耗时 45 分钟，符合正常洗衣周期。",
    "front_door_lock 记录为 Manual 操作，且 entrance_occupancy 同步检测到人员存在，确认为合法用户行为。",
    "master_bedroom_occupancy 在门锁开启期间保持活跃，佐证了住户在家中的活动轨迹。"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统判定为正常行为。",
    "建议继续监控洗衣机运行状态，若未来出现长时间未停止或异常报错再行关注。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到阳台门在无人值守且洗衣机运行期间被非法开启，存在入侵风险。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，在 16:00:00 时，阳台洗衣机 (balcony_laundry_washer) 开始运行 (OperationalState=1)，表明住户正在使用阳台区域或设备处于自动运行状态。",
    "推理步骤 2: 随后在 16:45:00 洗衣机停止运行，但在 16:47:00 发生了关键事件：阳台门接触传感器 (balcony_door_contact) 状态变为 False (打开)。",
    "推理步骤 3: 结合上下文，从 16:08:00 到 16:47:00 期间，虽然入户门有活动记录，但没有任何日志显示有人进入阳台房间 (balcony_occupancy 未报告为 1，且通常运动传感器会触发)。在洗衣机运行时（可能涉及噪音掩盖或注意力分散）且无人员在场确认的情况下，阳台门被打开，极有可能是外部人员尾随进入或通过其他方式闯入，属于典型的入侵行为特征。"
  ],
  "key_evidence": [
    "16:00:00 - 16:45:00 期间洗衣机处于运行状态 (OperationalState=1->0)",
    "16:47:00 阳台门接触传感器状态突变 (BooleanState.StateValue = False)"
  ],
  "recommended_actions": [
    "立即通知住户家中可能存在入侵者，建议其不要开门并报警。",
    "检查监控录像（如有）以确认入侵者身份和具体路径。",
    "暂时将阳台门锁设置为‘防撬’模式或加强警报联动，直到安全威胁解除。"
  ]
}
```


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: 33

## 跨天活动摘要
- 2026-07-04: bathroom=61, bedroom=243, kitchen=239, entrance=230, living_room=211

## 设备事件日志
[2026-07-04T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T06:58:02] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T11:28:02] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T15:58:02] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T19:58:02] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T20:25:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T20:25:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T20:27:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T20:28:02] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T20:29:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T20:37:00] living_room_light | OnOff.OnOff = False
[2026-07-04T20:37:00] bathroom_light | OnOff.OnOff = False
[2026-07-04T20:37:04] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T20:37:04] bathroom_light | OnOff.OnOff = True
[2026-07-04T20:37:11] front_door_contact | BooleanState.StateValue = True
[2026-07-04T20:37:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-04T20:37:12] front_door_lock | DoorLock.LockState = 1
[2026-07-04T20:37:20] bedroom_light | OnOff.OnOff = True
[2026-07-04T20:37:23] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-07-04T20:37:30] bedroom_light | OnOff.OnOff = False
[2026-07-04T20:45:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T20:47:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T20:47:04] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T20:49:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T21:05:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T21:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T21:07:04] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T21:08:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T21:09:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[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

## 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独居老人夜间时段（21:12）触发报警，且随后自动恢复，需立即核实是否存在真实漏水或传感器故障。",
  "reasoning": [
    "推理步骤 1: 目标用户为独居老人，安全优先级最高。日志显示在 2026-07-04T21:12:00，bathroom_water_leak 状态变为 True，这是一个明确的安全威胁信号。",
    "推理步骤 2: 结合上下文，该事件发生在夜间（21:12），此时老人可能正在休息或刚起床。虽然 occupancy_sensor 在 21:10 曾检测到有人，但在 21:08 曾短暂消失，存在人员移动或跌倒后无法及时关闭水源的风险。",
    "推理步骤 3: 漏水传感器在 21:16:00 自动恢复为 False。这可能是由于水流暂时停止、传感器误报，或者是严重的间歇性泄漏。对于独居老人，任何未经人工确认的漏水报警都必须视为潜在紧急情况处理，以防房屋受损或引发次生灾害（如触电、滑倒）。"
  ],
  "key_evidence": [
    "[2026-07-04T21:12:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-04T21:16:00] bathroom_water_leak | BooleanState.StateValue = False"
  ],
  "recommended_actions": [
    "立即远程通知住户或其紧急联系人，告知卫生间可能存在漏水情况。",
    "建议系统自动发送语音提示至住户家中的智能音箱（如果已连接），提醒其检查卫生间地面及水龙头/马桶状态。",
    "若无法联系到住户，建议派遣物业或安保人员进行现场快速核查，排除火灾或水浸风险。"
  ]
}
```


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: 22

## 跨天活动摘要
- 2026-07-02: bathroom=51, master_bedroom=232, entrance=226, living_room=110, second_bedroom=48, kitchen=11

## 设备事件日志
[2026-07-02T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T08:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T12:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T16:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T20:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T20:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T20:26:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T20:26:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T20:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T20:45:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T20:46:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T20:46:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T21:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T21:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T21:05:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T21:06:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T21:06:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-02T21:16:00] bathroom_water_leak | 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。

{
  "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进入卫生间后短时间内触发报警，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: 日志显示在 2026-07-02T21:10:00 时，bathroom_occupancy 状态变为 1（有人），紧接着在 T21:12:00（仅 2 分钟后），bathroom_water_leak 状态变为 True。",
    "推理步骤 2: 漏水事件发生在有人使用卫生间的时段，且持续时间极短（从 21:12 到 21:16 自动恢复为 False）。这种‘有人即漏’且‘快速自愈’的模式，既可能是马桶/水管的瞬时故障，也可能是传感器误报。",
    "推理步骤 3: 考虑到这是跨天摘要中的关键异常点，且漏水涉及财产安全和房屋结构安全，不能简单视为正常行为。即使传感器已复位，仍需人工确认现场情况以排除持续隐患。"
  ],
  "key_evidence": [
    "2026-07-02T21:10:00 bathroom_occupancy = 1 (有人)",
    "2026-07-02T21:12:00 bathroom_water_leak = True (漏水报警)",
    "2026-07-02T21:16:00 bathroom_water_leak = False (报警解除)"
  ],
  "recommended_actions": [
    "立即检查卫生间地面、马桶底部及洗手台下方是否有明显积水或潮湿痕迹。",
    "联系物业或专业维修人员检查卫生间水路管道，排查是否存在间歇性渗漏问题。",
    "若确认无物理漏水，建议对漏水传感器进行校准或更换，以防误报导致不必要的恐慌。"
  ]
}
```


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: 19

## 跨天活动摘要
- 2026-08-17: balcony=3, master_bedroom=232, entrance=228, living_room=115, second_bedroom=48, bathroom=48

## 设备事件日志
[2026-08-17T15:18:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T15:18:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T15:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T15:38:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T15:38:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T15:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T15:58:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T16:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-17T16:18:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T16:18:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T16:28:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-17T16:28:00] front_door_lock | DoorLock.LockState = 2
[2026-08-17T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-17T16:47:00] 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": "日志显示为正常的家庭日常活动，包括洗衣运行、人员在不同房间移动以及入户门的正常手动操作，未检测到安全威胁。",
  "reasoning": [
    "1. 洗衣机状态分析：阳台洗衣机在 16:00 启动（OperationalState=1），于 16:45 结束（OperationalState=0），持续约 45 分钟，符合标准洗衣程序时长，属于正常家电使用行为。",
    "2. 门锁与门禁分析：16:28 记录到入户门锁的 Manual 开锁操作及门状态变化，结合此时段玄关和主卧均有 occupancy 传感器触发（16:18-16:28 期间），表明是住户在家或回家时的正常进出行为，非非法入侵。",
    "3. 人员活动模式：主卧和玄关的运动传感器在 15:18 至 16:18 期间多次触发，且客厅、次卧、卫生间无活动，符合部分家庭成员在卧室/玄关区域活动的常态，未发现长时间静止（跌倒风险）或异常的大范围无人/有人冲突。",
    "4. 综合判断：所有设备事件均在合理的时间窗口内发生，逻辑连贯（如先有人员活动，后有门锁操作；洗衣机运行结束后关门），无矛盾或危险信号。"
  ],
  "key_evidence": [
    "balcony_laundry_washer OperationalState 从 1 变为 0，耗时 45 分钟，属正常洗涤周期。",
    "front_door_lock 在 16:28 执行 Manual LockOperation，伴随 entrance_occupancy 活跃，确认为住户正常操作。",
    "master_bedroom_occupancy 和 entrance_occupancy 在关键时间段内有连续的活动记录，排除了设备故障或长期静止的风险。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控洗衣机运行状态，确保其按时停止以防过热或漏水隐患（虽本次正常，但作为预防性建议）。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到入户门被手动解锁后，阳台门传感器在极短时间内（约 17 秒）由闭合变为开启，且此时洗衣机已停止运行，住户不在现场，存在非法入侵或尾随进入的嫌疑。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，在 2026-08-17T16:28:00，入户门锁 (front_door_lock) 发生了手动解锁操作 (LockOperationType=1)，随后状态变为未锁定 (LockState=2)。",
    "推理步骤 2: 紧接着在 2026-08-17T16:47:00，阳台门接触传感器 (balcony_door_contact) 报告状态为 False (开启)。考虑到日志中提到的重点设备包括洗衣机，且洗衣机在 16:45:00 已停止运行，这表明有人进入了阳台区域并打开了门。",
    "推理步骤 3: 结合 occupancy 数据，在 16:28 到 16:47 期间，entrance、master_bedroom 等关键区域的运动传感器并未持续报告有人活动（虽然 16:18 有记录，但 16:28 之后直到 16:47 没有新的 occupancy 更新），或者即使有短暂活动，从入户门解锁到阳台门打开的时间间隔较短，且发生在非典型的高频活动时段，符合入侵者快速通过或尾随的特征。特别是如果这是主人离开家去洗衣服（16:00 启动，16:45 结束），那么 16:47 开门时屋内应无人，属于异常。",
    "推理步骤 4: 综合来看，入户门被手动操作后，阳台门迅速被打开，且缺乏明确的内部人员移动轨迹支持这一行为（特别是在洗衣机刚停机的时间点），高度疑似外部人员闯入。"
  ],
  "key_evidence": [
    "2026-08-17T16:28:00 front_door_lock 发生手动解锁操作",
    "2026-08-17T16:47:00 balcony_door_contact 状态变为 False (开启)",
    "2026-08-17T16:45:00 balcony_laundry_washer 停止运行，暗示可能无人在场进行正常家务"
  ],
  "recommended_actions": [
    "立即通知住户确认家中安全状况及是否有人在家。",
    "建议住户检查阳台及入户门周围是否有陌生人或遗留物品。",
    "联系当地警方报备潜在入侵事件，并提供相关时间戳和传感器数据。",
    "远程查看家庭摄像头（如有）回放 16:28 至 16:47 期间的画面以获取视觉证据。"
  ]
}
```


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: 22

## 跨天活动摘要
- 2026-07-21: bathroom=51, master_bedroom=233, entrance=226, living_room=109, second_bedroom=48, kitchen=11

## 设备事件日志
[2026-07-21T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T08:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T12:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T16:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T20:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T20:25:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T20:25:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T20:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T20:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T20:45:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T20:45:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T20:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T21:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T21:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T21:05:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T21:05:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T21:07:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-21T21:16:00] bathroom_water_leak | 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。

{
  "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进入卫生间后短时间内触发报警，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: 日志显示在 2026-07-21T21:10:00 时，bathroom_occupancy 状态变为 1（有人），紧接着在 4 分钟后（21:12:00）bathroom_water_leak 状态变为 True。",
    "推理步骤 2: 这种‘有人 + 立即漏水’的时间关联模式高度可疑，通常意味着漏水是由当前在场人员的活动引起的（如忘关水龙头、水管爆裂），或者是传感器因潮湿环境导致的误报但需优先排查。",
    "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，但这可能是临时积水被擦干、水流停止或传感器短暂接触水后的复位，不能排除持续漏水的风险，必须人工确认现场情况。"
  ],
  "key_evidence": [
    "2026-07-21T21:10:00 bathroom_occupancy = 1 (有人)",
    "2026-07-21T21:12:00 bathroom_water_leak = True (漏水报警)"
  ],
  "recommended_actions": [
    "立即通知住户前往卫生间检查是否有水源泄漏、水龙头未关或管道破裂。",
    "检查卫生间地面和天花板是否有水渍痕迹，并清理积水以防滑倒或电路短路。",
    "如果漏水再次发生或无法找到源头，建议联系专业水管工进行检修，并考虑更换或校准漏水传感器。"
  ]
}
```


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: 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: 33

## 跨天活动摘要
- 2026-07-29: bathroom=65, bedroom=242, kitchen=239, entrance=231, living_room=210

## 设备事件日志
[2026-07-29T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T06:29:15] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T10:59:15] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T15:29:15] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T19:59:15] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T20:27:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T20:27:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T20:28:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T20:29:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T20:29:15] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T20:38:00] living_room_light | OnOff.OnOff = False
[2026-07-29T20:38:09] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T20:38:09] bathroom_light | OnOff.OnOff = True
[2026-07-29T20:47:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T20:47:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T20:48:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T20:49:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T20:53:00] bathroom_light | OnOff.OnOff = False
[2026-07-29T20:53:08] front_door_contact | BooleanState.StateValue = True
[2026-07-29T20:53:09] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-29T20:53:09] front_door_lock | DoorLock.LockState = 1
[2026-07-29T20:53:10] bedroom_light | OnOff.OnOff = True
[2026-07-29T20:53:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-07-29T20:53:20] bedroom_light | OnOff.OnOff = False
[2026-07-29T20:54:30] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T21:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T21:07:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T21:08:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-29T21:13:05] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T21:16:00] bathroom_water_leak | 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。

{
  "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活动期间触发报警，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: 日志显示在 2026-07-29T21:10:00 时 bathroom_occupancy 检测到有人（Occupancy=1），表明此时有住户正在使用卫生间。",
    "推理步骤 2: 仅 1 分钟后（2026-07-29T21:12:00），bathroom_water_leak 传感器状态变为 True，这与住户在室内的时间高度重合，排除了夜间无人时的误报可能性。",
    "推理步骤 3: 虽然传感器在 2026-07-29T21:16:00 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，或者是传感器本身的间歇性故障。考虑到独居老人的背景，必须假设最坏情况（真实漏水）以保障安全。"
  ],
  "key_evidence": [
    "2026-07-29T21:10:00 bathroom_occupancy = 1 (有人)",
    "2026-07-29T21:12:00 bathroom_water_leak = True (漏水报警)"
  ],
  "recommended_actions": [
    "立即通知老人检查卫生间地面是否有积水，并清理水源以防滑倒。",
    "联系物业或维修人员上门检查水管接口、马桶底座及地漏，确认是否存在持续渗漏隐患。",
    "若老人无法自行处理，建议安排紧急探访或远程协助，确保其人身安全。"
  ]
}
```


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: 21

## 设备事件日志
[2026-08-11T15:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T15:28:21] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T15:39:49] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T15:40:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T15:44:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-11T16:01:00] front_door_lock | DoorLock.LockState = 2
[2026-08-11T16:01:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:01:12] kids_room_light | OnOff.OnOff = True
[2026-08-11T16:09:49] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T16:14:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:21:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:34:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:41:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-11T16:47:00] 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，结合此前的人员活动轨迹，判断为正常的家务行为结束后的状态复位，未发现安全威胁。",
  "reasoning": [
    "1. 分析核心设备状态：日志显示在 16:00 阳台洗衣机开始运行 (OperationalState=1)，并在 16:45 停止运行 (OperationalState=0)。随后在 16:47 阳台门传感器显示关闭 (StateValue=False)。这符合‘洗衣-晾衣/收衣-关门’的正常生活逻辑闭环。",
    "2. 验证人员在场情况：在洗衣机运行的整个时间段内（16:00-16:45），系统记录到儿童房、餐厅、玄关等多个区域存在持续或间歇性的人体存在信号 (Occupancy=1)。这表明住户在家中进行日常活动，并非无人值守导致的意外风险。",
    "3. 排除入侵与异常：虽然 16:01 入户门锁状态变为 2 (通常代表锁定或已上锁，取决于具体实现，但结合此时段有人在家且无其他门窗异常开启记录)，且阳台门在洗衣机结束后才关闭，说明住户可能在操作完洗衣机后顺手关上了阳台门。没有发现非法闯入、长时间未活动或危险设备（如灶具）异常开启的迹象。"
  ],
  "key_evidence": [
    "[2026-08-11T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机启动)",
    "[2026-08-11T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0 (洗衣机停止)",
    "[2026-08-11T16:47:00] balcony_door_contact | BooleanState.StateValue = False (阳台门关闭)",
    "多房间 occupancy_sensor 在 16:00-16:45 期间多次触发 Occupancy=1，证明住户在家"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议保持当前监控策略，继续观察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": "检测到入户门在内部有人（玄关/餐厅）活动时被从外部锁定，随后阳台门传感器状态异常变为关闭，存在非法入侵或尾随风险。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，在 16:01:00 入户门锁状态变为锁定 (LockState=2)，此时玄关和餐厅区域仍有人员活动记录 (Occupancy=1)，表明住户可能正在屋内操作门锁，或者门锁在无人察觉的情况下被触发。",
    "推理步骤 2: 关键异常点在于 16:47:00 的 `balcony_door_contact` 事件，其状态值变为 `False`。根据 Matter 协议及常规逻辑，接触传感器通常报告 `True` 表示闭合（门已关好），`False` 表示断开（门未关）。然而，结合上下文，如果这是指“门处于开启状态”的报警信号，那么意味着在入户门锁定的情况下，通往阳台的门却处于开启或未正确闭合状态，这构成了极大的安全隐患。另一种可能是日志语义为 `StateValue=False` 代表“门已关闭且密封”，但考虑到 16:01 锁定后不久即出现此状态变化，更合理的推断是：系统检测到阳台门意外打开（或传感器误报为开），而入户门已锁，导致室内与室外连通性异常，或者反之，入户门被从外锁死而内部人员无法通过正常路径进出，暗示可能存在尾随者进入后反锁了主门。",
    "推理步骤 3: 综合判断，最危险的情景是：住户在屋内（16:01 锁定前），有人尾随进入并迅速锁上了入户门（16:01:00），随后该人可能打开了阳台门（16:47:00 传感器状态突变）准备离开或进行其他操作，而此时屋内其他人（如儿童房、餐厅有 occupancy 记录）被困或不知情。这种‘内有人、门锁死、阳台门状态异常’的组合模式高度符合入侵或家庭暴力/绑架前的异常行为特征。",
    "关键证据": [
      "16:01:00 front_door_lock 锁定，但同时间段 entrance_occupancy 和 dining_room_occupancy 仍为 1，显示内部有人时发生锁定动作。",
      "16:47:00 balcony_door_contact 状态突变为 False，在入户门已锁定的情况下，阳台门状态异常，打破了正常的封闭空间逻辑。"
    ],
    "recommended_actions": [
      "立即通知住户确认家中人员安全及门锁状态。",
      "远程查看阳台摄像头画面（如有）以确认阳台门实际物理状态。",
      "检查入户门锁日志，确认是手动锁定还是自动锁定，排查是否有非授权访问痕迹。",
      "若确认异常，建议警方介入或联系紧急联系人。"
    ]
  }
}
```


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: 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
- 2026-07-07: balcony=3, master_bedroom=228, entrance=225, living_room=116, second_bedroom=48, bathroom=48

## 设备事件日志
[2026-07-07T15:15:33] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T15:16:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T15:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T15:35:33] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T15:36:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T15:55:33] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T15:56:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T16:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-07T16:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-07T16:09:00] front_door_lock | DoorLock.LockState = 2
[2026-07-07T16:09:02] front_door_contact | BooleanState.StateValue = False
[2026-07-07T16:16:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T16:19:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-07T16:47:00] 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": "日志显示为正常的家庭日常活动，包括人员移动、洗衣机运行及门锁操作，未检测到安全威胁或设备异常。",
  "reasoning": [
    "1. 人员活动模式正常：日志显示用户在入口（entrance）、主卧（master_bedroom）和客厅等区域有规律的活动记录。例如，15:15-16:45期间，入口和主卧的 occupancy 传感器多次触发，符合住户在室内活动的特征。",
    "2. 洗衣机运行逻辑合理：阳台洗衣机在 16:00 开始运行（OperationalState=1），并在 16:45 结束（OperationalState=0），持续约45分钟，这是标准的洗衣周期时长，无长时间无人看管或故障迹象。",
    "3. 门锁与门窗状态一致：16:09 入户门被手动锁定（LockOperation Manual），随后门磁传感器显示关闭（StateValue=False），表明住户可能外出或确认关门，行为连贯且无强行闯入迹象。",
    "4. 阳台门状态关联：16:47 阳台门传感器显示关闭，此时洗衣机刚停止工作，推测住户可能在完成洗衣后检查并关闭了阳台门，属于正常的家务流程闭环。"
  ],
  "key_evidence": [
    "[2026-07-07T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机启动)",
    "[2026-07-07T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0 (洗衣机结束)",
    "[2026-07-07T16:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual) (手动锁门)",
    "[2026-07-07T16:47:00] balcony_door_contact | BooleanState.StateValue = False (阳台门关闭)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控洗衣机运行状态，确保其按时结束以避免能源浪费或安全隐患。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到入户门被手动解锁后，阳台门传感器在数分钟内报告开启状态，且期间无人员进入客厅或主卧室的占用信号，疑似有人从外部通过阳台门潜入室内。",
  "reasoning": [
    "推理步骤 1: 日志显示在 2026-07-07T16:09:00 时，入户门锁 (front_door_lock) 发生了手动解锁操作 (LockOperationType=1)，随后门接触传感器 (front_door_contact) 变为 False，表明住户正常离家。",
    "推理步骤 2: 然而，在 2026-07-07T16:47:00（离家约 38 分钟后），阳台门接触传感器 (balcony_door_contact) 突然报告 StateValue = False（开启）。",
    "推理步骤 3: 关键异常在于，当阳台门开启时，系统并未检测到任何人员进入相关区域。具体表现为：客厅、次卧、卫生间和阳台本身的运动传感器在此期间均保持 Occupancy = 0。如果这是住户回家或正常活动，必然会有相应的占用信号。这种‘门开无人’的模式强烈暗示有入侵者试图通过阳台门进入，但尚未深入室内触发其他传感器，或者入侵者正在尝试无声潜入。"
  ],
  "key_evidence": [
    "2026-07-07T16:09:00 入户门手动解锁并开启，随后长时间未关闭。",
    "2026-07-07T16:47:00 阳台门传感器报告开启 (False)，但同一时间段内所有室内及阳台区域的运动传感器均为空 (Occupancy = 0)。"
  ],
  "recommended_actions": [
    "立即向住户发送紧急警报通知，告知阳台门异常开启且可能有人闯入。",
    "建议住户不要直接开门，而是先联系物业或警方核实情况，必要时远程查看监控录像（如有）确认现场状况。",
    "检查阳台门锁具是否完好，并在确认安全前暂时将家中贵重物品移至安全位置或暂时离开房屋。"
  ]
}
```


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: 31

## 跨天活动摘要
- 2026-08-26: bathroom=62, living_room=111, bedroom=66, entrance=14, kitchen=8

## 设备事件日志
[2026-08-26T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T06:50:07] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T09:12:36] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T13:42:36] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T18:12:36] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T19:42:36] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T20:12:36] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T20:29:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T20:30:35] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T20:42:36] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T20:49:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T21:00:35] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T21:09:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-26T21:12:36] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T21:16:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-26T21:29:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T21:30:35] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T21:42:36] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T21:47:00] living_room_light_1 | OnOff.OnOff = False
[2026-08-26T21:47:05] entrance_light | OnOff.OnOff = False
[2026-08-26T21:47:12] living_room_ac | OnOff.OnOff = False
[2026-08-26T21:47:16] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T21:47:18] bedroom_light | OnOff.OnOff = True
[2026-08-26T21:47:25] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-08-26T21:47:30] front_door_contact | BooleanState.StateValue = True
[2026-08-26T21:47:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-26T21:47:31] front_door_lock | DoorLock.LockState = 1
[2026-08-26T21:49:06] living_room_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，且发生时有人员在场，存在即时水损及电气安全隐患。",
  "reasoning": [
    "在 2026-08-26T21:12:00 时，bathroom_water_leak 传感器状态变为 True，明确指示发生了漏水。",
    "关键时间窗口分析显示，漏水发生前 10 秒 (21:10:00) bathroom_occupancy 传感器检测到有人 (Occupancy=1)，表明当时有住户正在使用卫生间，增加了事故发生的合理性和紧急性。",
    "虽然漏水在 21:16:00 自动恢复为 False，但这可能是水流暂时停止或传感器特性所致，鉴于已触发报警且涉及用水区域，必须视为真实威胁进行响应，以防后续复漏或造成二次伤害。"
  ],
  "key_evidence": [
    "[2026-08-26T21:12:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-26T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1"
  ],
  "recommended_actions": [
    "立即通知住户前往卫生间检查地面是否有积水，并关闭水源（如角阀）。",
    "检查卫生间灯具、插座等电气设备是否因进水而处于危险状态，必要时切断该回路电源。",
    "建议用户清理积水并擦干地板，防止滑倒风险；若漏水持续或无法定位源头，请联系专业维修人员。"
  ]
}
```


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: 33

## 跨天活动摘要
- 2026-08-26: bathroom=57, entrance=231, living_room=110, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-08-26T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T06:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T06:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T06:50:03] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T06:50:03] bathroom_light | OnOff.OnOff = True
[2026-08-26T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T07:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T07:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T07:07:00] bathroom_light | OnOff.OnOff = False
[2026-08-26T07:07:15] kitchen_light | OnOff.OnOff = True
[2026-08-26T07:08:12] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-26T07:16:00] kitchen_light | OnOff.OnOff = False
[2026-08-26T07:16:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T07:16:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-26T07:16:19] front_door_lock | DoorLock.LockState = 2
[2026-08-26T07:16:21] front_door_contact | BooleanState.StateValue = False
[2026-08-26T07:16:29] front_door_contact | BooleanState.StateValue = True
[2026-08-26T07:16:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-26T07:16:30] front_door_lock | DoorLock.LockState = 1
[2026-08-26T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-26T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T07:36:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T07:38:12] 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进入并开启灯光后不久触发报警，随后检测到占用状态消失，表明可能存在突发漏水事件。",
  "reasoning": [
    "推理步骤 1: 在 06:50:03，卫生间运动传感器检测到有人进入（Occupancy=1），同时卫生间灯被打开，这是正常的晨间活动模式。",
    "推理步骤 2: 仅仅 17 秒后（07:07:00），卫生间灯关闭，且 7 秒后（07:08:12）运动传感器显示占用状态变为 0，说明该次进入非常短暂或人员已离开。",
    "推理步骤 3: 关键异常发生在 07:12:00，此时卫生间无人（上一次占用结束于 07:08:12，中间虽有厨房和入户门活动，但卫生间无人在场），漏水传感器突然报告 True。这种‘无人时漏水’的模式极大概率是真实的水管破裂或设备故障，而非误报。",
    "推理步骤 4: 虽然 07:18:00 传感器状态恢复为 False，但这可能是由于水位暂时下降、水流停止或传感器特性导致的间歇性读数，不能排除持续漏水的风险。结合时间紧迫性，必须视为高优先级安全事件处理。"
  ],
  "key_evidence": [
    "2026-08-26T07:12:00 bathroom_water_leak | BooleanState.StateValue = True (发生在卫生间无人占用期间)",
    "2026-08-26T07:08:12 bathroom_occupancy | OccupancySensing.Occupancy = 0 (确认漏水发生时卫生间内无人)"
  ],
  "recommended_actions": [
    "立即通知住户前往卫生间检查是否有明显积水或水源，并关闭主水阀以防损失扩大。",
    "建议物业或维修人员尽快上门检修卫生间水管及涉水电器（如马桶、洗手盆软管）。",
    "监控后续日志，若漏水传感器再次长时间保持 True 或伴随湿度传感器读数升高，需启动紧急排水预案。"
  ]
}
```


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: 26

## 设备事件日志
[2026-08-09T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T05:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T06:01:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T06:07:00] bathroom_light | OnOff.OnOff = False
[2026-08-09T06:08:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T06:35:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T06:37:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T06:38:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T06:55:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T06:57:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T06:58:00] kitchen_light | OnOff.OnOff = False
[2026-08-09T06:58:08] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-09T06:58:08] front_door_lock | DoorLock.LockState = 2
[2026-08-09T06:58:10] front_door_contact | BooleanState.StateValue = False
[2026-08-09T06:58:10] front_door_contact | BooleanState.StateValue = True
[2026-08-09T06:58:11] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T06:58:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-09T06:58:11] front_door_lock | DoorLock.LockState = 1
[2026-08-09T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T07:08:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-09T07:15:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T07:17:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-09T07:18:11] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

{
  "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 2026-08-09T07:10:00 时 bathroom_occupancy 状态变为 1（有人），表明此时有住户正在使用卫生间。",
    "推理步骤 2: 仅两分钟后（2026-08-09T07:12:00），bathroom_water_leak 传感器触发报警（StateValue = True），确认发生漏水。",
    "推理步骤 3: 虽然漏水在两分钟后自动恢复（False），但考虑到用户为独居老人，短时间内发生的漏水极易导致地面湿滑引发跌倒事故，属于高优先级安全威胁，不能简单视为正常波动。"
  ],
  "key_evidence": [
    "[2026-08-09T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-08-09T07:12:00] bathroom_water_leak | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "立即通知住户检查卫生间地面是否干燥，防止滑倒。",
    "建议联系物业或维修人员排查水管接口、水龙头等潜在漏水点。",
    "若无法及时修复，建议在卫生间门口放置防滑垫并加强该区域监控。"
  ]
}
```


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: 33

## 跨天活动摘要
- 2026-08-25: bathroom=63, bedroom=242, kitchen=239, entrance=231, living_room=210

## 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
[2026-08-25T05:44:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T05:44:00] bathroom_light | OnOff.OnOff = True
[2026-08-25T06:04:00] bathroom_light | OnOff.OnOff = False
[2026-08-25T06:04:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T06:05:48] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T06:26:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T06:29:08] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T06:35:48] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T06:37:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-25T06:46:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T06:49:08] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T06:51:00] kitchen_light | OnOff.OnOff = False
[2026-08-25T06:51:10] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-25T06:51:10] front_door_lock | DoorLock.LockState = 2
[2026-08-25T06:51:12] front_door_contact | BooleanState.StateValue = False
[2026-08-25T06:51:12] front_door_contact | BooleanState.StateValue = True
[2026-08-25T06:51:13] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T06:51:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-25T06:51:13] front_door_lock | DoorLock.LockState = 1
[2026-08-25T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T07:05:48] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T07:06:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T07:09:08] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T07:11:13] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-25T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-25T07:26:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T07:29:08] kitchen_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

{
  "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活动期间触发报警，且随后自动复位，存在真实漏水风险。",
  "reasoning": [
    "推理步骤 1: 日志显示在 2026-08-25T07:10:00 时，bathroom_occupancy 状态变为 1（有人），表明此时有住户正在使用卫生间。",
    "推理步骤 2: 仅 1 分钟后（2026-08-25T07:12:00），bathroom_water_leak 传感器状态变为 True，这与住户活动的时间高度重合，极大概率是由用水行为导致的真实漏水，而非误报。",
    "推理步骤 3: 虽然传感器在 4 分钟后（07:18:00）自动恢复为 False，但这可能是因为水位下降或水流暂时停止，并不代表隐患已完全消除。对于独居老人，任何漏水事件都可能导致滑倒摔伤或电路短路，必须视为高优先级安全事件进行处理。"
  ],
  "key_evidence": [
    "[2026-08-25T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-08-25T07:12:00] bathroom_water_leak | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "立即通知住户检查卫生间地面是否有积水，并清理水源以防滑倒。",
    "建议远程查看卫生间摄像头（如有）确认现场情况，或联系家属/社区服务人员上门核实。",
    "检查卫生间水管及龙头连接处是否松动或老化，必要时安排维修。"
  ]
}
```


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: 32

## 跨天活动摘要
- 2026-07-17: bathroom=59, entrance=231, living_room=113, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-07-17T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T06:26:03] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T06:26:03] bathroom_light | OnOff.OnOff = True
[2026-07-17T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T06:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T06:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T06:46:03] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T06:50:00] bathroom_light | OnOff.OnOff = False
[2026-07-17T06:50:05] kitchen_light | OnOff.OnOff = True
[2026-07-17T06:51:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-17T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-17T07:19:00] kitchen_light | OnOff.OnOff = False
[2026-07-17T07:19:11] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T07:19:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-17T07:19:16] front_door_lock | DoorLock.LockState = 2
[2026-07-17T07:19:18] front_door_contact | BooleanState.StateValue = False
[2026-07-17T07:19:22] front_door_contact | BooleanState.StateValue = True
[2026-07-17T07:19:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-17T07:19:23] front_door_lock | DoorLock.LockState = 1
[2026-07-17T07:21:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:30:00] second_bedroom_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有人占用期间触发报警，且随后检测到人员离开并开门外出，存在真实漏水风险。",
  "reasoning": [
    "推理步骤 1: 在 06:26 和 06:46，卫生间运动传感器检测到有人（Occupancy=1），并在 06:50 检测到灯光关闭，表明住户正在使用卫生间。",
    "推理步骤 2: 在 07:12，即住户仍在卫生间内时，漏水传感器状态变为 True，确认发生了漏水事件。",
    "推理步骤 3: 漏水持续约 7 分钟后在 07:18 恢复为 False，随后住户于 07:19 离开卫生间并手动解锁入户门外出。虽然漏水已停止，但‘有人使用时发生漏水’属于需要立即响应的安全事件，以防后续扩大或造成财产损失。"
  ],
  "key_evidence": [
    "[2026-07-17T07:12:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-17T06:26:03] bathroom_occupancy | OccupancySensing.Occupancy = 1"
  ],
  "recommended_actions": [
    "立即通知住户检查卫生间地面及管道是否有明显积水或损坏。",
    "建议住户暂时避免再次使用该卫生间，直到确认无泄漏隐患。",
    "若漏水原因不明或持续，建议联系专业维修人员进行检修。"
  ]
}
```


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: 30

## 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
[2026-07-17T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T06:36:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T06:44:05] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T06:44:05] bathroom_light | OnOff.OnOff = True
[2026-07-17T06:45:45] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T06:50:00] bathroom_light | OnOff.OnOff = False
[2026-07-17T06:50:12] kitchen_light | OnOff.OnOff = True
[2026-07-17T06:51:51] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-17T07:15:45] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:16:00] kitchen_light | OnOff.OnOff = False
[2026-07-17T07:16:08] bedroom_light | OnOff.OnOff = False
[2026-07-17T07:16:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-17T07:16:18] front_door_lock | DoorLock.LockState = 2
[2026-07-17T07:16:20] front_door_contact | BooleanState.StateValue = False
[2026-07-17T07:16:25] front_door_contact | BooleanState.StateValue = True
[2026-07-17T07:16:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-17T07:16:26] front_door_lock | DoorLock.LockState = 1
[2026-07-17T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-17T07:21:51] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:45:45] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:51:51] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T08:21:51] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T10:21:51] 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。"
  ]
}

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本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": [
    "建议立即检查并触发安全响应。"
  ]
}


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
- 2026-08-01: bathroom=51, living_room=48, master_bedroom=48, second_bedroom=48, entrance=48

## 设备事件日志
[2026-08-01T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T08:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T12:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T20:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T20:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T20:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T20:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T20:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T21:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T21:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T21:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T21:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T21:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-01T21:16:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-01T21:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T21:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T21:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T21:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T21:30:00] 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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到卫生间短暂漏水报警，但随后迅速恢复常态，结合人员活动日志判断为正常洗漱或清洁行为导致的误报或轻微渗漏已自动修复，无持续安全风险。",
  "reasoning": [
    "1. 分析时间线与人员活动：21:10 卫生间 occupancy 传感器检测到有人（Occupancy=1），表明住户正在使用卫生间。",
    "2. 分析漏水事件：21:12 漏水传感器触发（True），21:16 恢复正常（False）。该事件发生在人员活动期间，且持续时间极短（仅4分钟）。",
    "3. 排除严重威胁：如果是严重水管破裂，漏水状态通常会持续更长时间或伴随其他异常（如水流声、持续湿度变化等，虽此处未提供湿度数据，但4分钟的瞬时触发更符合洗手、洗脸或马桶冲水溅水等日常行为特征）。",
    "4. 综合判断：在有人活动的短时间内出现的瞬时漏水信号，且迅速消失，最可能是日常用水产生的误报或轻微溅水，而非灾难性泄漏。系统无需紧急干预，但建议用户留意后续是否有重复发生。"
  ],
  "key_evidence": [
    "2026-08-01T21:10:00 bathroom_occupancy | OccupancySensing.Occupancy = 1 (确认有人在卫生间)",
    "2026-08-01T21:12:00 bathroom_water_leak | BooleanState.StateValue = True (触发漏水报警)",
    "2026-08-01T21:16:00 bathroom_water_leak | BooleanState.StateValue = False (4分钟后报警解除)"
  ],
  "recommended_actions": [
    "无需立即采取紧急安全措施。",
    "建议用户在下次使用时检查水龙头或淋浴区是否有明显溅水情况，若频繁出现此类短时报警，可考虑调整漏水传感器的灵敏度或位置。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间在无人占用期间检测到漏水，随后传感器状态恢复正常，存在潜在的管道泄漏或设备故障风险。",
  "reasoning": [
    "推理步骤 1: 分析时间线，在 2026-08-01T21:10:00 时，卫生间运动传感器报告有人 (Occupancy=1)，表明住户当时正在使用卫生间。",
    "推理步骤 2: 仅仅两分钟后 (2026-08-01T21:12:00)，漏水传感器触发报警 (StateValue=True)。虽然此时有人在场，但漏水通常发生在用水过程中或之后，需关注后续状态变化。",
    "推理步骤 3: 关键异常点在于，漏水报警后仅 4 分钟 (2026-08-01T21:16:00)，漏水传感器即恢复为 False，且随后的运动传感器读数显示无人 (2026-08-01T21:30:00 Occupancy=0)。这种'短暂触发后立即消失'的模式可能意味着：(a) 是一次偶发的溅水被误报；(b) 更危险的是，漏水源（如软管破裂）在极短时间内自行停止（可能性低），或者 (c) 传感器本身出现了漂移或故障，未能持续监测到真实的积水情况。考虑到安全原则，必须假设可能存在未被持续发现的微小渗漏。",
    "推理步骤 4: 结合跨天摘要，该家庭在 2026-08-01 全天大部分时间卫生间均无活动 (00:00-20:00 均为 0)，唯一的活跃时段是 21:10。如果漏水发生在无人时段，则是严重的安防隐患；若发生在有人时段，则可能是用户操作不当或设备老化。无论哪种情况，都需要人工确认以排除真实的水损风险。"
  ],
  "key_evidence": [
    "2026-08-01T21:12:00 bathroom_water_leak 触发 True",
    "2026-08-01T21:16:00 bathroom_water_leak 迅速恢复 False",
    "2026-08-01T21:30:00 bathroom_occupancy 显示无人"
  ],
  "recommended_actions": [
    "立即通知住户检查卫生间地面是否有潮湿痕迹、异味或水渍。",
    "建议住户检查马桶水箱、洗手盆下水管及淋浴软管等常见漏水点。",
    "若发现明显漏水，立即关闭家中总水阀并联系维修人员。",
    "若无明显漏水，建议对漏水传感器进行校准或更换，以防传感器误报或失效导致未来风险。"
  ]
}
```