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

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

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

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 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: 29

## 设备事件日志
[2026-07-23T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T06:37:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T06:37:06] bedroom_light | OnOff.OnOff = True
[2026-07-23T06:37:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-07-23T06:46:07] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T06:46:07] bathroom_light | OnOff.OnOff = True
[2026-07-23T06:48:52] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T07:06:07] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-23T07:13:00] bathroom_light | OnOff.OnOff = False
[2026-07-23T07:13:00] kitchen_light | OnOff.OnOff = False
[2026-07-23T07:13:10] bedroom_light | OnOff.OnOff = False
[2026-07-23T07:13:18] kitchen_light | OnOff.OnOff = True
[2026-07-23T07:13:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-23T07:13:23] front_door_lock | DoorLock.LockState = 2
[2026-07-23T07:13:25] front_door_contact | BooleanState.StateValue = False
[2026-07-23T07:13:30] front_door_contact | BooleanState.StateValue = True
[2026-07-23T07:13:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-23T07:13:31] front_door_lock | DoorLock.LockState = 1
[2026-07-23T07:14:04] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-23T07:18:52] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T07:44:04] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "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。"
  ]
}

Rejected response:
{
  "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。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-07-16T15:27:34] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T15:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T15:33:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T15:53:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-16T16:02:34] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T16:21:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-16T16:21:02] front_door_contact | BooleanState.StateValue = False
[2026-07-16T16:23:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T16:31:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-16T16:47:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-16T16:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T17:03:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "key_evidence": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-07-02T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T06:57:04] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T09:42:18] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T14:12:18] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T18:42:18] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T20:12:18] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T20:35:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T20:38:51] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T20:42:18] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T20:55:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T21:08:51] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-02T21:12:18] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T21:15:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T21:16:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-02T21:35:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T21:38:51] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T21:42:18] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "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。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 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: 26

## 跨天活动摘要
- 2026-08-20: bathroom=60, entrance=228, living_room=113, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-08-20T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T07:01:02] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T10:14:05] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T14:44:05] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T19:14:05] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T19:44:05] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T20:14:05] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T20:25:07] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T20:26:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T20:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T20:44:05] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T20:45:07] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T20:46:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T21:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T21:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T21:05:07] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T21:06:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-20T21:14:05] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T21:16:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-20T21:25:07] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T21:26:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T21:30:00] master_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。

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有浴室使用上下文；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。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 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: 21

## 跨天活动摘要
- 2026-08-01: bathroom=58, living_room=195, entrance=51, master_bedroom=48, second_bedroom=48, kitchen=14

## 设备事件日志
[2026-08-01T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T06:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T06:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T07:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T07:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T07:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-01T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-01T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T07:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T07:30:00] 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。

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本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。"
  ]
}

Rejected response:
{
  "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。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: 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
- 2026-08-04: balcony=3, entrance=230, living_room=112, bathroom=59, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-08-04T15:17:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T15:37:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T15:43:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T15:57:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-04T16:13:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:17:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T16:37:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-04T16:47:00] balcony_door_contact | BooleanState.StateValue = False

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "key_evidence": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

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

## 跨天活动摘要
- 2026-08-03: balcony=3, master_bedroom=232, entrance=231, living_room=113, second_bedroom=48, bathroom=48

## 设备事件日志
[2026-08-03T15:15:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T15:18:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T15:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T15:35:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T15:38:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T15:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T15:58:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T16:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-03T16:15:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T16:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-03T16:18:00] front_door_lock | DoorLock.LockState = 2
[2026-08-03T16:18:02] front_door_contact | BooleanState.StateValue = False
[2026-08-03T16:23:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-03T16:47:00] 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。

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "key_evidence": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer
- 已选事件数: 21

## 设备事件日志
[2026-07-13T15:25:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T15:29:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T15:33:40] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T15:34:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T15:35:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T15:54:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T15:55:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T16:00:00] front_door_lock | DoorLock.LockState = 2
[2026-07-13T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-13T16:00:10] kids_room_light | OnOff.OnOff = True
[2026-07-13T16:03:40] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T16:05:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T16:15:03] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T16:25:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T16:34:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T16:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-13T16:47:00] 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。

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "key_evidence": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 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: 16

## 设备事件日志
[2026-08-19T15:25:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T15:28:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T15:48:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T15:55:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-19T16:08:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T16:25:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T16:28:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-19T16:47:00] 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。

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "key_evidence": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 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
[2026-07-13T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T06:03:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T06:04:00] bathroom_light | OnOff.OnOff = False
[2026-07-13T06:05:22] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T06:35:22] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T06:38:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T06:39:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T06:50:00] kitchen_light | OnOff.OnOff = False
[2026-07-13T06:50:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-13T06:50:02] front_door_lock | DoorLock.LockState = 2
[2026-07-13T06:50:04] front_door_contact | BooleanState.StateValue = False
[2026-07-13T06:50:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T06:50:08] front_door_contact | BooleanState.StateValue = True
[2026-07-13T06:50:09] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-13T06:50:09] front_door_lock | DoorLock.LockState = 1
[2026-07-13T06:58:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T06:59:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T07:05:22] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T07:10:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-13T07:18:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-13T07:19:04] kitchen_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本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。"
  ]
}

Rejected response:
{
  "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。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: bathroom
- 重点设备: bathroom_occupancy, bathroom_water_leak
- 已选事件数: 21

## 设备事件日志
[2026-08-24T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T08:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T12:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T16:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T20:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T20:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T20:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T20:35:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T20:39:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T20:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T20:55:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T20:59:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T21:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T21:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-24T21:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T21:15:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T21:16:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-24T21:19:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有浴室使用上下文；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。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 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
- 2026-08-06: bathroom=59, entrance=232, living_room=110, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-08-06T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T06:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T06:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T06:47:07] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T06:47:07] bathroom_light | OnOff.OnOff = True
[2026-08-06T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T07:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T07:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T07:07:07] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-06T07:13:00] kitchen_light | OnOff.OnOff = False
[2026-08-06T07:13:20] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T07:13:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-06T07:13:24] front_door_lock | DoorLock.LockState = 2
[2026-08-06T07:13:26] front_door_contact | BooleanState.StateValue = False
[2026-08-06T07:13:32] front_door_contact | BooleanState.StateValue = True
[2026-08-06T07:13:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-06T07:13:33] front_door_lock | DoorLock.LockState = 1
[2026-08-06T07:14:00] bathroom_light | OnOff.OnOff = False
[2026-08-06T07:14:12] kitchen_light | OnOff.OnOff = True
[2026-08-06T07:15:49] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-06T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T07:33:27] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 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。"
  ]
}

Rejected response:
{
  "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。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 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: 21

## 跨天活动摘要
- 2026-07-11: bathroom=58, living_room=196, entrance=51, master_bedroom=48, second_bedroom=48, kitchen=14

## 设备事件日志
[2026-07-11T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T06:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T06:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-11T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-11T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:30:00] 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。

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本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。"
  ]
}

Rejected response:
{
  "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。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 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: 23

## 跨天活动摘要
- 2026-07-05: bathroom=59, bedroom=205, living_room=192, kitchen=14, entrance=3

## 设备事件日志
[2026-07-05T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:35:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T10:34:41] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T15:04:41] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T19:34:41] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T20:04:41] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T20:27:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T20:28:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T20:34:41] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T20:47:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T20:48:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T21:04:41] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T21:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T21:08:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-05T21:16:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-05T21:27:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T21:28:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T21:34:41] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T21:47:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T21:48:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有浴室使用上下文；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。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 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: 21

## 设备事件日志
[2026-07-31T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:04:02] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T10:35:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T14:35:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T18:35:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T20:05:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T20:35:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T20:39:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T20:56:12] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T20:59:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T21:05:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-31T21:16:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-31T21:19:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T21:26:12] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T21:35:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T21:39:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T22:05:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T23:35:38] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "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。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-08-15T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T06:36:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:39:02] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:50:00] kitchen_light | OnOff.OnOff = False
[2026-08-15T06:50:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-15T06:50:02] front_door_lock | DoorLock.LockState = 2
[2026-08-15T06:50:04] front_door_contact | BooleanState.StateValue = False
[2026-08-15T06:50:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:50:10] front_door_contact | BooleanState.StateValue = True
[2026-08-15T06:50:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-15T06:50:11] front_door_lock | DoorLock.LockState = 1
[2026-08-15T06:56:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:59:02] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T07:10:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-15T07:16:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-15T07:19:02] kitchen_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本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。"
  ]
}

Rejected response:
{
  "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。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer
- 已选事件数: 22

## 设备事件日志
[2026-07-28T15:25:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T15:29:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T15:45:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T15:49:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T15:54:57] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T15:56:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T15:58:00] front_door_lock | DoorLock.LockState = 2
[2026-07-28T15:58:11] kids_room_light | OnOff.OnOff = True
[2026-07-28T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-28T16:03:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T16:05:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T16:23:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T16:24:57] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T16:28:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T16:29:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-28T16:47:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-28T16:48:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T16:49:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "key_evidence": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

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

## 跨天活动摘要
- 2026-08-22: bathroom=66, bedroom=242, kitchen=239, entrance=231, living_room=209

## 设备事件日志
[2026-08-22T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T05:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T05:43:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T05:58:00] bathroom_light | OnOff.OnOff = False
[2026-08-22T05:58:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T06:28:06] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T06:28:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T06:29:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T06:48:06] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T06:49:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T06:54:00] kitchen_light | OnOff.OnOff = False
[2026-08-22T06:54:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-22T06:54:03] front_door_lock | DoorLock.LockState = 2
[2026-08-22T06:54:05] front_door_contact | BooleanState.StateValue = False
[2026-08-22T06:54:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T06:54:12] front_door_contact | BooleanState.StateValue = True
[2026-08-22T06:54:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-22T06:54:13] front_door_lock | DoorLock.LockState = 1
[2026-08-22T06:58:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T07:08:06] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T07:09:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-22T07:14:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-08-22T07:28:06] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T07:28:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T07:29:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本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。"
  ]
}

Rejected response:
{
  "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。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-08-27T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T07:04:45] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T11:34:45] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T16:04:45] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T20:04:45] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T20:30:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T20:30:06] bathroom_light | OnOff.OnOff = True
[2026-08-27T20:37:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T20:37:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T20:37:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T20:39:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T20:50:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T20:54:00] bathroom_light | OnOff.OnOff = False
[2026-08-27T20:54:14] front_door_contact | BooleanState.StateValue = True
[2026-08-27T20:54:15] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-27T20:54:15] front_door_lock | DoorLock.LockState = 1
[2026-08-27T20:54:24] bedroom_light | OnOff.OnOff = True
[2026-08-27T20:54:34] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-08-27T20:54:39] bedroom_light | OnOff.OnOff = False
[2026-08-27T20:55:41] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T20:57:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T20:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T20:59:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T20:59:04] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T21:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T21:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-27T21:16:00] bathroom_water_leak | BooleanState.StateValue = False

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本有浴室使用上下文；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。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本有浴室使用上下文；异常样本无人在场但漏水重复持续。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 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
[2026-07-05T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:10:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T07:12:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-05T07:18:00] bathroom_water_leak | BooleanState.StateValue = False
[2026-07-05T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T09:38:36] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:38:36] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T17:38:36] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T21:38:36] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T23:38:36] 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。

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本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。"
  ]
}

Rejected response:
{
  "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。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer
- 已选事件数: 21

## 设备事件日志
[2026-07-21T15:25:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T15:26:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T15:34:14] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T15:35:40] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T15:39:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T15:55:40] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T15:56:00] front_door_lock | DoorLock.LockState = 2
[2026-07-21T15:56:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T15:56:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T15:59:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-21T16:16:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T16:16:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T16:34:14] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T16:36:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T16:39:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-21T16:47:00] balcony_door_contact | BooleanState.StateValue = False

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "key_evidence": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer
- 已选事件数: 24

## 跨天活动摘要
- 2026-07-18: balcony=3, living_room=48, dining_room=48, master_bedroom=48, second_bedroom=48, kids_room=48

## 设备事件日志
[2026-07-18T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T15:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T15:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T15:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-18T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-18T16:47:00] balcony_door_contact | 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。

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "key_evidence": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
{
  "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": [
    "正常样本洗衣结束后住户去阳台处理衣物；异常样本结束后延迟出现漏水信号。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}