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

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

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

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

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

## 设备事件日志
[2026-07-20T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T07:20:13] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T07:20:15] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-20T07:20:15] front_door_lock | DoorLock.LockState = 2
[2026-07-20T07:20:17] front_door_contact | BooleanState.StateValue = False
[2026-07-20T07:20:17] front_door_contact | BooleanState.StateValue = True
[2026-07-20T07:20:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-20T07:20:18] front_door_lock | DoorLock.LockState = 1
[2026-07-20T07:27:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T07:40:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T07:57:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T08:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T08:00:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-20T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-20T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-20T08:20:18] entrance_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:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的住户离家/外出行为模式，门锁与传感器状态变化符合逻辑时序。",
  "reasoning": [
    "1. 分析07:20的事件序列：玄关运动传感器先触发（Occupancy=1），随后门锁执行解锁操作（LockState=2），门磁显示门打开（False->True），紧接着门锁执行上锁操作（LockState=1）。这符合典型的“出门”或“短暂开门后离开”的行为逻辑。",
    "2. 分析08:00-08:03的事件序列：在08:00时，所有房间（客厅、主卧、次卧、卫生间）的运动传感器均报告无人员活动（Occupancy=0），表明家中处于无人状态。此时玄关再次检测到运动（08:00:18），随后门锁解锁（08:02:00）并上锁（08:03:00）。结合全天其他区域无人的情况，这极有可能是住户返回家中取物、检查门窗或短暂外出后的再次确认，或者是住户在家中的正常移动被误判为外出（但考虑到全屋其他区域长时间无人，更倾向于住户确实离开了家或在门口区域活动）。",
    "3. 综合判断：虽然出现了两次门口的开关锁动作，但第二次动作发生时全屋其他区域无人员活动，且间隔时间合理（约40分钟），没有发现暴力破解、多次失败尝试或异常时间段（如深夜）的入侵迹象。设备状态响应迅速，无卡死或故障迹象。因此判定为正常行为。"
  ],
  "key_evidence": [
    "07:20:15-07:20:18: 完整的‘检测到人 -> 解锁 -> 开门 -> 上锁’序列，符合出门逻辑。",
    "08:00:00: 全屋其他房间（living_room, master_bedroom, second_bedroom, bathroom）Occupancy均为0，确认家中大部分区域无人。",
    "08:02:00-08:03:00: 在全屋无人的背景下，玄关再次发生开关锁操作，可能是住户回家或检查，属于可控的正常交互。"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施。",
    "建议用户确认08:00左右的门口活动是否为本人操作，以排除访客或异常情况，若确认为本人则忽略此告警。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "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": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "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, balcony_light
- 已选事件数: 15

## 设备事件日志
[2026-08-02T16:47:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T16:55:59] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-02T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-02T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-02T17:25:59] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:27:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:47:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到阳台门打开、灯光开启及洗衣机启动，结合客厅持续有人活动的传感器数据，判断为住户正常进行洗衣家务活动，无安全风险。",
  "reasoning": [
    "1. 分析核心事件链：在 17:20 左右，阳台门传感器显示状态为 False（通常代表门被打开），紧接着阳台灯开启，随后洗衣机进入运行状态（OperationalState = 1）。这一序列符合典型的“开门 -> 开灯 -> 操作电器”的用户行为逻辑。",
    "2. 验证人员存在性：在阳台设备触发前后（16:47 - 17:47），客厅运动传感器（living_room_occupancy）多次报告 Occupancy = 1，表明家中有人活动。这排除了无人状态下设备自动误触或非法入侵的可能性。",
    "3. 排除异常模式：阳台门打开发生在傍晚时段（17:20），且伴随照明和家电使用，属于正常的居家生活场景（如晾晒衣物或取放物品）。没有发现门锁被暴力破解、窗户异常开启伴随其他危险信号（如烟雾、漏水）或长时间无人却有关闭门窗等反常行为。"
  ],
  "key_evidence": [
    "[2026-08-02T17:20:00] balcony_door_contact | BooleanState.StateValue = False (门打开)",
    "[2026-08-02T17:20:00] balcony_light | OnOff.OnOff = True (灯亮)",
    "[2026-08-02T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机启动)",
    "[2026-08-02T17:27:00] living_room_occupancy | OccupancySensing.Occupancy = 1 (确认室内有人)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统记录正常。",
    "建议用户继续监控洗衣机运行状态，确保结束后及时关闭电源以防干烧或漏水风险。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "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": [
    "正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "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 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 17

## 设备事件日志
[2026-08-02T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T10:46:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T13:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T13:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T13:36:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T13:51:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T13:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T13:57:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-02T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-02T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-02T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T14:11:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T14:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T14:27:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T14:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为正常的居家活动模式。",
  "reasoning": [
    "1. 门锁与传感器状态分析：在 14:05，入户门锁处于锁定状态 (LockState=2)，同时门磁传感器显示关闭 (False)，这符合门窗紧闭的正常物理状态。随后在 14:06 玄关灯亮起，结合后续客厅和卧室的运动传感器持续有人 (Occupancy=1)，表明住户正在家中正常活动，而非非法入侵。",
    "2. 人员活动轨迹合理性：从 10:46 开始，客厅运动传感器检测到有人，随后在 13:31、13:51、14:11 等时间点，卧室和客厅传感器交替或同时检测到有人。这种多房间的人员分布符合一室一厅户型中住户在不同区域（如客厅休息、卧室休息/工作）活动的正常行为逻辑。",
    "3. 卫生间活动正常：卫生间运动传感器在 13:57 和 14:27 显示无人 (0)，中间间隔约半小时，符合正常使用卫生间的时长，未发现长时间滞留（可能跌倒）或异常频繁开关的情况。"
  ],
  "key_evidence": [
    "front_door_lock LockState = 2 (Locked) 且 front_door_contact StateValue = False (Closed)，表明入口安全且无强行开启迹象。",
    "entrance_light OnOff = True 发生在门锁状态稳定后，配合 living_room_occupancy 持续为 1，证实是住户在家内的正常照明操作。",
    "多个房间的 occupancy_sensor 数据显示人员在客厅和卧室之间活动，时间跨度合理，无异常静止或突发消失。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续保持当前的自动化规则，确保离家时自动布防。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "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": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "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 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher], 厨房漏水传感器[water_leak_detector]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅副灯[dimmable_light], 客厅氛围灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘1[window_covering], 客厅窗户传感器1[contact_sensor], ... 共10个设备
- 房间 master_bathroom: 主卫灯[onoff_light], 主卫运动传感器[occupancy_sensor], 主卫漏水传感器[water_leak_detector]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧床头灯[onoff_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bathroom: 次卫灯[onoff_light], 次卫漏水传感器[water_leak_detector]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧空调[air_conditioner], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 40

## 跨天活动摘要
- 2026-08-10: entrance=235, kids_room=231, master_bedroom=227, master_bathroom=226, dining_room=218, living_room=116

## 设备事件日志
[2026-08-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T07:12:26] front_door_lock | DoorLock.LockState = 2
[2026-08-10T07:12:29] front_door_contact | BooleanState.StateValue = True
[2026-08-10T07:12:30] front_door_lock | DoorLock.LockState = 1
[2026-08-10T12:37:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T12:57:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T13:20:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T13:23:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T13:24:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T13:27:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T13:29:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T13:40:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T13:43:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T13:44:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T13:47:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T13:49:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T14:03:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:04:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-10T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-10T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-10T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:07:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:09:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:10:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:23:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:24:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:27:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:29:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T14:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T14:40:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:43:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:44:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:47:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T14:49:00] kids_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的家庭日常活动模式。",
  "reasoning": [
    "1. 门锁状态分析：07:12 记录显示门锁先解锁（LockState=2）后上锁（LockState=1），且伴随门磁传感器触发（True->False），符合住户早晨离家或归家后的正常操作逻辑。14:05 再次出现解锁并开门（Contact=False），随后玄关灯亮起，符合有人进入室内的行为特征。",
    "2. 人员活动轨迹合理性：从 13:20 开始，多个房间（主卧、餐厅、主卫、儿童房、客厅等）的运动传感器陆续被触发，表明家庭成员在下午时段在家中活跃走动。这种多房间、分散式的活动模式与正常居家生活一致，未发现长时间静止或异常聚集。",
    "3. 设备联动正常：14:06 玄关灯随人员进入（14:07 入口 occupancy 确认）而开启，体现了自动化场景的正常工作，无设备故障或误报迹象。"
  ],
  "key_evidence": [
    "[2026-08-10T07:12:29] front_door_contact | BooleanState.StateValue = True (门打开)",
    "[2026-08-10T14:05:00] front_door_lock | DoorLock.LockState = 2 (门锁解锁)",
    "[2026-08-10T14:06:00] entrance_light | OnOff.OnOff = True (灯光自动开启)",
    "多房间运动传感器在 13:20-14:49 期间持续触发，显示正常的人员活动"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统运行正常。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "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": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "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 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 130

## 跨天活动摘要
- 2026-07-11: living_room=195, bedroom=209, bathroom=55, kitchen=14, entrance=3
- 2026-07-12: living_room=195, bedroom=210, bathroom=53, kitchen=14, entrance=3
- 2026-07-13: living_room=109, bedroom=70, bathroom=54, entrance=14, kitchen=9

## 设备事件日志
[2026-07-11T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T05:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2438
[2026-07-11T05:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-07-11T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2455
[2026-07-11T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-07-11T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-07-11T05:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-11T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-07-11T05:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-07-11T05:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-11T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-07-11T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-07-11T06:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-07-11T06:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-07-11T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-11T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-07-11T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-07-11T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-07-11T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-07-11T06:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-07-11T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T06:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-11T06:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T06:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2497
[2026-07-11T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-07-11T06:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-07-11T06:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-07-11T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-07-11T06:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-07-11T07:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-07-11T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-07-11T07:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-07-11T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-07-11T07:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-07-11T07:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-07-11T07:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2413
[2026-07-11T07:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2521
[2026-07-11T07:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-07-11T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-07-11T08:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-07-11T08:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524
[2026-07-11T08:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-07-11T12:13:00] kitchen_light | OnOff.OnOff = True
[2026-07-11T18:08:00] kitchen_light | OnOff.OnOff = True
[2026-07-12T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-07-12T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2455
[2026-07-12T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-07-12T05:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-07-12T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-07-12T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-07-12T06:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-12T06:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T06:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-12T06:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-07-12T06:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-07-12T06:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-12T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-07-12T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-07-12T06:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-12T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-07-12T06:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-07-12T06:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T06:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-07-12T06:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-07-12T06:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-07-12T06:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-07-12T06:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409
[2026-07-12T06:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-07-12T06:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-07-12T07:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-07-12T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T07:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T07:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2413
[2026-07-12T07:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-07-12T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-07-12T07:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-07-12T07:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2521
[2026-07-12T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2509
[2026-07-12T07:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-07-12T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-07-12T07:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-07-12T07:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T07:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524
[2026-07-12T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2525
[2026-07-12T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-07-12T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-12T08:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-12T09:09:09] kitchen_light | OnOff.OnOff = True
[2026-07-12T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T19:10:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2436
[2026-07-13T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-07-13T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-07-13T05:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-07-13T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-07-13T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-07-13T05:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-07-13T06:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-13T06:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T06:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-13T06:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-07-13T06:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-07-13T06:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-13T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-07-13T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-07-13T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-07-13T06:25:10] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-07-13T06:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-13T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T06:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-13T06:35:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T06:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-07-13T06:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T06:42:00] kitchen_light | OnOff.OnOff = True
[2026-07-13T06:43:09] bathroom_light | OnOff.OnOff = True
[2026-07-13T06:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-13T06:48:09] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409
[2026-07-13T06:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-07-13T07:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，设备日志显示的行为模式符合正常住户作息规律。",
  "reasoning": [
    "1. 活动模式分析：跨天摘要显示，7月11日和12日客厅(living_room)和卧室(bedroom)的活动量较高（约200次），而厨房(kitchen)和入口(entrance)较低；7月13日所有区域活动量显著下降。这种变化符合周末或节假日居家休息、减少外出活动的正常行为模式，而非异常入侵或故障。",
    "2. 传感器数据合理性：温度传感器读数在合理范围内（如2438代表24.38°C），且随时间缓慢变化，无突变或停滞迹象，排除传感器卡死(drift/stuck)的可能。运动传感器(Occupancy)在夜间/清晨显示为0，白天或有人活动时显示为1，逻辑一致。",
    "3. 关键事件时序正常：以7月13日为例，06:25卧室窗帘打开，随后06:35卧室有人，06:41客厅有人，06:42厨房灯亮，06:43卫生间灯亮，06:48卫生间有人。这一系列动作构成了完整的“起床-洗漱-准备早餐”的早晨例行程序，时序紧凑且符合人类行为逻辑，不存在入侵者快速移动或设备误触的特征。",
    "4. 无危险信号：日志中未出现烟雾报警器触发、漏水检测报警、门锁异常开启或长时间无人但电器持续运行等高风险场景。"
  ],
  "key_evidence": [
    "7月13日早晨06:25至06:48期间，窗帘、灯光、运动传感器的联动顺序符合正常的起床洗漱流程。",
    "连续三天的活动量分布（11-12日高，13日低）呈现合理的周期性波动，无突兀中断。",
    "温度传感器数值变化平滑，无跳变或固定值异常。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续保持当前的监控策略，关注后续几天是否恢复工作日的高频出入模式。"
  ]
}
```

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "sensor_drift",
  "threat_description": "多个房间的温度传感器报告了异常大的原始数值（2400+），虽经换算可能代表正常室温，但表明存在严重的单位配置错误或数据漂移风险，可能导致环境监测失效。",
  "reasoning": [
    "推理步骤 1: 数据分析显示，客厅、卧室和厨房的温度传感器在 2026-07-11 至 07-13 期间，MeasuredValue 均维持在 2366 至 2540 的范围内。在 Matter 协议标准中，温度通常以 0.01°C 为单位，这意味着实际温度为 23.66°C 至 25.40°C，属于正常室温。",
    "推理步骤 2: 尽管数值换算后合理，但原始读数高达 2400+ 对于常规温度监控界面而言属于异常量级。如果系统逻辑错误地将此值直接视为摄氏度（即 2400°C），将立即触发火灾警报；反之，如果系统依赖此原始值进行阈值判断（如 >2000 视为过热），则会导致误判。这种跨设备、跨天数的数值量级异常表明存在**传感器数据漂移**或**固件配置错误**（单位缩放因子丢失）。",
    "推理步骤 3: 观察 occupancy 和 actuator 日志，未发现入侵、尾随或异常用电模式。厨房灯光在白天开启（12:13, 09:09）虽无对应 occupancy 记录，但考虑到是一室一厅且可能有自然光不足的情况，不足以确认为异常。唯一的新增变量是 2026-07-13 出现的 `bedroom_window` 状态变化，但这与随后的 occupancy 变化逻辑自洽。因此，核心风险在于温度数据的可靠性受损。"
  ],
  "key_evidence": [
    "2026-07-11T05:00:00 至 2026-07-13T08:00:00 期间，living_room_temp_sensor, bedroom_temp_sensor, kitchen_temp_sensor 的 MeasuredValue 持续在 2366-2540 区间波动，远超常规摄氏度读数范围。",
    "所有温度传感器在同一时间段内表现出高度一致的数值量级（均在 2400 左右），排除了单个设备故障的可能性，指向系统级的数据解析或上报配置问题。"
  ],
  "recommended_actions": [
    "立即检查 Matter 网关及终端设备的温度传感器配置，确认 `TemperatureMeasurement` cluster 的 `unitOfMeasure` 属性是否正确设置为 0x0001 (DegreeCelsius) 且缩放因子（scale）已正确应用。",
    "在管理界面上强制刷新温度传感器数据，并验证显示值是否为 23-25°C 而非 2400°C，同时检查是否有相关的固件更新可用以修复潜在的显示 Bug。"
  ]
}
```


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 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 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 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: SQ3
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 82

## 跨天活动摘要
- 2026-07-06: entrance=233, bedroom=243, kitchen=238, living_room=209, bathroom=61

## 设备事件日志
[2026-07-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T07:05:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-06T07:05:03] front_door_lock | DoorLock.LockState = 2
[2026-07-06T07:05:05] front_door_contact | BooleanState.StateValue = False
[2026-07-06T07:05:05] front_door_contact | BooleanState.StateValue = True
[2026-07-06T07:05:06] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-06T07:05:06] front_door_lock | DoorLock.LockState = 1
[2026-07-06T08:37:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-06T08:37:00] front_door_lock | DoorLock.LockState = 2
[2026-07-06T08:37:02] front_door_contact | BooleanState.StateValue = False
[2026-07-06T09:57:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T12:27:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T12:27:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T12:47:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T12:47:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T13:07:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T13:07:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T13:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-07-06T13:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-07-06T13:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-07-06T13:18:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T13:19:02] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T13:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-07-06T13:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-07-06T13:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-07-06T13:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-07-06T13:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-07-06T13:27:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T13:27:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T13:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-07-06T13:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-07-06T13:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2497
[2026-07-06T13:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-07-06T13:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-07-06T13:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-07-06T13:36:56] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T13:38:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T13:39:02] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T13:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-06T13:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-07-06T13:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-07-06T13:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-06T13:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-07-06T13:47:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T13:47:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T13:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-07-06T13:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-06T13:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-07-06T13:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-07-06T13:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-06T13:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-07-06T13:58:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T13:59:02] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T14:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-07-06T14:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-06T14:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-07-06T14:01:07] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-07-06T14:01:15] living_room_light | OnOff.OnOff = True
[2026-07-06T14:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-07-06T14:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-06T14:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-07-06T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-07-06T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-07-06T14:06:00] entrance_light | OnOff.OnOff = True
[2026-07-06T14:06:56] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T14:07:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T14:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-07-06T14:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-06T14:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-07-06T14:11:11] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T14:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-07-06T14:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-06T14:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2467
[2026-07-06T14:18:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T14:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2461
[2026-07-06T14:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-06T14:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-07-06T14:21:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T14:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-07-06T14:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-06T14:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453

## 任务
以下是过去一段时间的设备活动记录。请识别其中是否存在可疑行为模式，并解释你的判断。

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为独居老人的正常日常活动模式。",
  "reasoning": [
    "1. 门锁与门禁逻辑正常：07:05 用户手动解锁并开门（LockState 2->1, Contact False->True），随后在 08:37 再次手动上锁（LockState 1->2）。这符合老人早起出门或处理事务后返回并反锁的习惯，无暴力破解或异常频繁开关迹象。",
    "2. 室内活动轨迹合理：从 09:57 开始，客厅 occupancy 传感器激活，随后 12:27 起玄关、客厅、厨房、卧室等多个区域陆续出现人员活动信号。这种多房间、长时间（持续至 14:25）的分散活动符合老人在家休息、做饭、如厕的日常行为特征。",
    "3. 环境状态稳定：温度传感器读数在 23-25°C 之间波动，属于舒适范围；未触发烟雾报警器、漏水传感器或一氧化碳报警器等关键安全设备。",
    "4. 无孤立或危险行为：虽然存在多次 occupancy 变化，但结合时间跨度（数小时）和多个房间的同时/交替活跃，排除了跌倒后静止不动（abnormal_inactivity）或非法入侵（intrusion）的可能性。"
  ],
  "key_evidence": [
    "07:05-08:37 门锁操作序列完整且符合手动操作逻辑",
    "09:57-14:25 期间多个房间（Living Room, Kitchen, Bedroom, Entrance）持续有 Occupancy 信号，表明住户处于清醒和活动状态",
    "所有安全类传感器（Smoke, Water Leak, CO）均无报警记录"
  ],
  "recommended_actions": [
    "无需立即干预，建议继续监控后续日志以确认晚间活动规律",
    "可考虑设置‘长时间无活动’预警阈值（如超过 4-6 小时无任何传感器触发），以便在极端情况下及时发现潜在健康风险"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "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": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "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 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 93

## 跨天活动摘要
- 2026-07-06: entrance=17, living_room=109, bedroom=70, bathroom=54, kitchen=8

## 设备事件日志
[2026-07-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T07:20:12] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-06T07:20:12] front_door_lock | DoorLock.LockState = 2
[2026-07-06T07:20:14] front_door_contact | BooleanState.StateValue = False
[2026-07-06T07:20:20] front_door_contact | BooleanState.StateValue = True
[2026-07-06T07:20:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-06T07:20:21] front_door_lock | DoorLock.LockState = 1
[2026-07-06T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T13:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-07-06T13:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-06T13:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-07-06T13:15:30] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T13:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-07-06T13:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-06T13:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-07-06T13:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-07-06T13:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-07-06T13:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-07-06T13:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-07-06T13:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-07-06T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T13:30:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T13:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-07-06T13:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-06T13:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-07-06T13:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-07-06T13:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-06T13:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-07-06T13:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-06T13:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-07-06T13:45:30] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T13:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-07-06T13:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-06T13:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-07-06T13:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-07-06T13:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-07-06T14:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-07-06T14:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-07-06T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T14:00:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T14:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-07-06T14:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-06T14:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-07-06T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-07-06T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-07-06T14:06:00] entrance_light | OnOff.OnOff = True
[2026-07-06T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T14:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-07-06T14:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-06T14:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-07-06T14:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2467
[2026-07-06T14:15:30] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T14:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-07-06T14:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-06T14:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-07-06T14:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-07-06T14:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-06T14:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-07-06T14:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-07-06T14:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-06T14:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-07-06T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T14:30:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T14:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-07-06T14:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-06T14:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-07-06T14:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-07-06T14:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-06T14:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-07-06T14:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-06T14:45:30] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T14:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442
[2026-07-06T14:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-06T14:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2435
[2026-07-06T14:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-07-06T14:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2434
[2026-07-06T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T18:28:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-06T18:28:00] front_door_lock | DoorLock.LockState = 2
[2026-07-06T18:28:02] front_door_contact | BooleanState.StateValue = False
[2026-07-06T18:28:13] entrance_light | OnOff.OnOff = True
[2026-07-06T19:33:21] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T20:58:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T21:50:07] entrance_light | OnOff.OnOff = False
[2026-07-06T21:50:45] front_door_contact | BooleanState.StateValue = True
[2026-07-06T21:50:46] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-06T21:50:46] front_door_lock | DoorLock.LockState = 1
[2026-07-06T22:23:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T23:48:04] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常情况，日志显示为正常的居家生活模式。",
  "reasoning": [
    "1. 入户门操作逻辑正常：07:20 记录了一次完整的‘开锁-出门-关门-反锁’流程（LockState 2->1），符合早晨离家习惯；14:05 和 18:28 的门状态变化及灯光开启也符合归家场景，无暴力破解或异常频繁尝试迹象。",
    "2. 人员活动轨迹合理：客厅 occupancy 传感器在 14:06、19:33、20:58、22:23、23:48 等时间段检测到有人活动，与门锁的开关时间吻合，表明住户在家且活动规律，无长时间静止不动（可能跌倒）或完全无人却有人活动的矛盾。",
    "3. 环境数据稳定：温度传感器读数在 23-25°C 之间波动，属于正常室温范围，无火灾或极端天气导致的异常升温/降温。",
    "4. 无其他高危设备报警：日志中未出现烟雾报警器、漏水传感器或一氧化碳报警器的触发记录，厨房灶具也无异常持续开启记录。"
  ],
  "key_evidence": [
    "07:20:12 - 07:20:21: 完整的离家门锁操作序列 (Manual Lock -> Open -> Close -> Manual Lock)",
    "14:05:00 - 14:06:00: 归家后的门锁解锁与玄关灯开启联动",
    "19:33:21 - 23:48:04: 晚间客厅持续的人员存在检测，符合夜间居家活动特征",
    "Temperature readings: All within normal range (23-25°C)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续保持当前的自动化规则（如进门开灯），以维持良好的居住体验。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "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": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "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 living_room: 客厅主灯[dimmable_light], 客厅副灯[dimmable_light], 客厅氛围灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘1[window_covering], 客厅窗户传感器1[contact_sensor], ... 共10个设备
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher], 厨房漏水传感器[water_leak_detector]
- 房间 master_bathroom: 主卫灯[onoff_light], 主卫运动传感器[occupancy_sensor], 主卫漏水传感器[water_leak_detector]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧床头灯[onoff_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bathroom: 次卫灯[onoff_light], 次卫漏水传感器[water_leak_detector]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧空调[air_conditioner], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 124

## 跨天活动摘要
- 2026-08-06: living_room=115, master_bedroom=229, entrance=229, kids_room=226, master_bathroom=222, dining_room=220
- 2026-08-07: living_room=116, kids_room=230, entrance=230, master_bedroom=227, dining_room=222, master_bathroom=222
- 2026-08-08: living_room=49, dining_room=48, master_bedroom=48, second_bedroom=48, kids_room=48, master_bathroom=48

## 设备事件日志
[2026-08-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T05:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442
[2026-08-06T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-08-06T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-08-06T05:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-08-06T05:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-08-06T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-06T05:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-06T06:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-06T06:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T06:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-08-06T06:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-06T06:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-08-06T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-08-06T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-08-06T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-06T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-08-06T06:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-06T06:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T06:31:10] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-06T06:35:00] second_bathroom_light | OnOff.OnOff = True
[2026-08-06T06:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-08-06T06:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T06:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-08-06T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-06T06:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2497
[2026-08-06T06:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T06:48:06] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-08-06T06:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2510
[2026-08-06T06:53:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T06:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-08-06T06:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-06T07:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-06T07:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-08-06T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-08-06T07:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-08-06T07:13:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T07:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-06T07:16:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-06T07:16:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-08-06T07:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-08-06T07:21:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T07:23:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T07:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-06T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T07:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2531
[2026-08-06T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524
[2026-08-06T18:16:00] kitchen_light | OnOff.OnOff = True
[2026-08-07T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2438
[2026-08-07T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2461
[2026-08-07T05:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2467
[2026-08-07T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2465
[2026-08-07T06:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-07T06:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T06:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T06:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T06:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-08-07T06:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-07T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-07T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-08-07T06:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-07T06:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-08-07T06:26:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T06:28:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T06:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-08-07T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T06:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T06:32:02] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-07T06:34:00] second_bathroom_light | OnOff.OnOff = True
[2026-08-07T06:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-07T06:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-08-07T06:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-08-07T06:48:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T06:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T06:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-07T06:53:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T06:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-08-07T06:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-07T07:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-07T07:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T07:01:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-08-07T07:08:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T07:08:10] dining_room_light | OnOff.OnOff = True
[2026-08-07T07:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-07T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-07T07:13:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T07:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-08-07T07:18:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T07:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-08-07T07:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-08-07T07:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2515
[2026-08-07T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-08-07T07:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-08-07T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T07:30:22] kids_room_light | OnOff.OnOff = False
[2026-08-07T07:30:30] front_door_contact | BooleanState.StateValue = False
[2026-08-07T07:30:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-07T07:33:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T07:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-08-07T07:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2523
[2026-08-07T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-08-07T08:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-08-07T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2526
[2026-08-07T08:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-08-07T20:33:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-08T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2437
[2026-08-08T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-08-08T05:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-08-08T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-08-08T05:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-08-08T06:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-08-08T06:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T06:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T06:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-08T06:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-08-08T06:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-08T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-08-08T06:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-08T06:42:00] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，设备日志显示为正常的家庭日常活动模式。",
  "reasoning": [
    "1.  occupancy传感器（人体感应）在清晨06:30-07:30期间陆续从0变为1，随后在上午逐渐消失或保持正常活动状态，符合家庭成员起床、洗漱、准备早餐和出门上班/上学的常规作息规律。",
    "2.  关键安防设备如入户门锁（front_door_lock）仅在08-07早晨07:30左右记录了一次手动开锁操作，且伴随玄关灯关闭和门磁状态变化，这是典型的离家行为，无非法入侵迹象。",
    "3.  厨房灶具（kitchen_cook_surface）在08-06早晨07:16关闭，之后未见异常开启；烟雾报警器和漏水传感器无任何触发记录，排除了火灾和水患风险。",
    "4.  温度传感器读数随时间缓慢上升（从约24°C升至25°C+），符合白天环境温度自然变化的物理规律，无传感器故障或漂移迹象。",
    "5.  灯光控制（如次卫灯、餐厅灯、厨房灯）均在有人活动的时段开启，或在无人时关闭，逻辑一致，未发现长时间无人亮灯等浪费能源或异常行为。"
  ],
  "key_evidence": [
    "08-06至08-08连续三天，living_room_occupancy在06:30-07:00之间由0变1，随后在07:30左右变回0，呈现一致的日间活动模式。",
    "08-07T07:30:36 front_door_lock Event: LockOperation(LockOperationType=0, OperationSource=Manual)，确认为用户主动离家。",
    "所有water_leak_detector和smoke_co_alarm在整个日志期间无报警事件。",
    "kitchen_cook_surface仅在08-06T07:16有一次关闭记录，此前无开启记录（可能是在日志开始前已开启或仅记录了关闭动作），且之后长时间未使用，符合早餐场景。"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统运行正常。",
    "建议继续保持当前的自动化规则，以优化居住舒适度和能源效率。"
  ]
}
```

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "检测到厨房温度异常升高且伴随窗户关闭，存在严重的火灾风险隐患。",
  "reasoning": [
    "推理步骤 1: 分析日志发现，在 2026-08-06T05:40 至 2026-08-06T07:40 期间，厨房温度传感器 (kitchen_temp_sensor) 读数从约 24.7°C (2479 mK) 持续攀升至 25.3°C (2531 mK)，并在次日凌晨继续上升。这种非线性的快速升温模式远超正常环境温度波动范围。",
    "推理步骤 2: 关键证据在于 2026-08-06T07:16:00 厨房灶具 (cook_surface) 被手动关闭 (OnOff=False)，但随后温度并未下降，反而在 07:16:30 厨房窗户接触传感器报告状态为 False (即窗户关闭)。这表明热源可能来自内部故障（如电器过热、线路短路）或外部入侵者使用设备后未离开，而封闭的窗户阻碍了热量散发和烟雾排出。",
    "推理步骤 3: 结合跨天摘要，8 月 6 日客厅活动量显著低于前一日（115 vs 229），暗示家中可能无人或人员极少，此时厨房出现不明原因的持续高温且窗户紧闭，极有可能是‘无人看管下的烹饪事故’或‘入侵者遗留火源/热源’导致的早期火灾征兆。"
  ],
  "key_evidence": [
    "2026-08-06T07:16:00 厨房灶具关闭后，温度仍持续上升至 25.3°C。",
    "2026-08-06T07:16:30 厨房窗户传感器显示关闭 (False)，导致热量积聚无法扩散。",
    "2026-08-06 全天客厅活动量骤降，可能存在无人监管的情况。"
  ],
  "recommended_actions": [
    "立即检查厨房区域是否有烟雾、异味或明火，确认是否存在真实火灾。",
    "检查厨房内所有电器（特别是灶具、烤箱、微波炉）是否因故障导致过热，必要时联系专业维修。",
    "测试厨房烟雾报警器功能是否正常，确保其处于激活状态。",
    "审查家庭安防策略，考虑在厨房安装独立的热成像传感器或加强该区域的视频监控覆盖。"
  ]
}
```


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 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 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 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: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 34

## 跨天活动摘要
- 2026-07-04: entrance=232, bedroom=241, kitchen=239, living_room=210, bathroom=63

## 设备事件日志
[2026-07-04T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T07:10:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-04T07:10:02] front_door_lock | DoorLock.LockState = 2
[2026-07-04T07:10:04] front_door_contact | BooleanState.StateValue = False
[2026-07-04T07:10:06] front_door_contact | BooleanState.StateValue = True
[2026-07-04T07:10:07] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-04T07:10:07] front_door_lock | DoorLock.LockState = 1
[2026-07-04T08:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-04T08:27:00] front_door_lock | DoorLock.LockState = 2
[2026-07-04T08:27:02] front_door_contact | BooleanState.StateValue = False
[2026-07-04T09:52:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:37:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:37:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:57:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:17:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:17:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:21:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:21:02] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:34:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T13:37:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:37:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:41:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:41:02] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:57:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:59:09] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-07-04T13:59:17] living_room_light | OnOff.OnOff = True
[2026-07-04T14:01:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T14:04:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-07-04T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-07-04T14:06:00] entrance_light | OnOff.OnOff = True
[2026-07-04T14:07:00] living_room_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:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人在上午7:10正常出门，随后在下午14:05左右返回家中并开启灯光，活动模式符合日常作息，未发现入侵或异常行为。",
  "reasoning": [
    "分析早晨事件：2026-07-04T07:10:02，门锁执行上锁操作（LockState=2），紧接着门磁传感器显示门关闭（False）后短暂打开（True，可能是门未关严或传感器抖动，但随即门锁再次操作变为解锁状态LockState=1且门磁为True，这通常意味着用户正在开门离开）。结合后续逻辑，更合理的解释是：07:10:02用户从内部反锁/确认锁好（LockState=2），然后07:10:07用户手动开锁（LockOperationType=0, LockState=1）并推门离开（Contact=True表示门被推开/未闭合）。这是一个典型的‘离家’序列。",
    "分析日间状态：从08:27到13:59期间，入户门保持锁定状态（LockState=2），且没有新的开锁记录。客厅和玄关的运动传感器在12:37至13:57之间频繁触发，表明屋内有人活动（可能是老人起床或在客厅休息），这与独居老人的日间作息相符。",
    "分析傍晚事件：2026-07-04T14:05:00，门锁状态变为2（Locked），门磁变为False（Closed）。注意这里缺少了明确的‘Unlock’事件日志，但在Matter协议中，如果用户通过钥匙、密码或生物识别从外部开锁，可能不会立即上报Unlock事件，或者该事件被合并。然而，关键证据在于紧随其后的14:06:00玄关灯亮起（OnOff=True），以及14:07:00客厅运动传感器激活。这表明有人进入了室内并触发了照明。考虑到之前门锁是锁着的，且此时是下午，最可能的情况是老人外出归来（可能在08:27有过一次短暂的锁门确认或外出，或者之前的07:10是出门，中间有未记录的返回？不，看时间线：07:10出门 -> 白天屋内有人(12:37+) -> 14:05门锁变锁(可能是误报或自动落锁?) -> 14:06开灯。",
    "重新审视14:05的逻辑：如果14:05门锁直接变为Locked且无Unlock事件，通常意味着门是从外部被锁上（例如关门即锁）或者系统状态同步。但紧接着14:06灯亮了，说明人进来了。对于独居老人，下午14:05回家是合理的。虽然日志中没有显式的‘Unlock’动作，但‘DoorLock.LockState = 2’有时在Matter中可能指代‘Secured’状态，而进入时如果是智能锁自动识别或快速操作，可能只记录了最终状态。更重要的是，整个序列（出门->白天活动->回家开灯）构成了一个完整的闭环，没有检测到暴力破解、多次失败尝试或长时间无人居住的迹象。"
  ],
  "key_evidence": [
    "07:10:07 门锁执行解锁操作(LockState=1)且门磁显示开启(True)，符合离家特征。",
    "14:06:00 玄关灯亮起，14:07:00 客厅运动传感器激活，符合归家特征。",
    "全天无非法入侵迹象（如非授权时间的开锁尝试、门窗异常开启等）。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议定期查看设备电池状态，确保门锁和传感器工作正常。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "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": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "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 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_light_1, living_room_window_contact
- 已选事件数: 40

## 设备事件日志
[2026-08-26T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-26T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-26T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-08-26T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-08-26T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-08-26T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-08-26T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-08-26T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T09:35:58] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-08-26T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-08-26T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-08-26T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-08-26T09:59:42] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-08-26T10:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-26T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-26T10:05:58] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-26T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-26T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-26T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-08-26T10:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-08-26T10:29:42] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-26T10:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-26T10:35:58] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T10:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-26T10:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-26T10:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-08-26T11:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-26T11:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T11:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-08-26T11:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-08-26T11:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-08-26T18:12:23] living_room_light_1 | OnOff.OnOff = True
[2026-08-26T22:14:00] living_room_light_1 | OnOff.OnOff = 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:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的设备状态监测及晚间常规活动。",
  "reasoning": [
    "1. 分析重点设备 'living_room_light_1'：该灯在 10:07 开启，随后在 18:12 再次开启，最终于 22:14 关闭。这符合典型的家庭作息规律（白天可能因自然光或短暂停留开启，傍晚至夜间作为主照明使用），且持续时间合理，无异常长亮或频繁开关迹象。",
    "2. 分析传感器数据：客厅温度传感器读数在 2536-2557 (即 25.36°C - 25.57°C) 之间波动，属于室内正常温度范围，无剧烈跳变或传感器卡死/漂移迹象。运动传感器持续报告 Occupancy=0，表明在大部分时间段内无人活动，这与灯光仅在特定时间点开启的行为相符（可能是用户手动控制而非自动感应触发，或者用户在非传感器覆盖区域活动）。",
    "3. 分析门窗状态：日志中仅记录了卧室和客厅窗户接触传感器在 10:05-10:06 左右的状态为 False（通常代表关闭/闭合，具体取决于安装逻辑，但结合全天无入侵报警及其他异常，视为正常闭合状态）。没有发现入户门锁的异常操作记录，也没有其他房间（如浴室、厨房）的漏水或烟雾报警触发。"
  ],
  "key_evidence": [
    "living_room_light_1 在 10:07 和 18:12 开启，22:14 关闭，符合日常作息。",
    "living_room_temp_sensor 数值稳定在 25.4°C 左右，无异常波动。",
    "所有 occupancy_sensor 均报告为 0，无异常人员移动模式。",
    "无门锁、烟雾报警器或漏水传感器的异常事件。"
  ],
  "recommended_actions": [
    "无需采取任何行动，系统运行正常。",
    "建议继续监控夜间灯光关闭后的状态，确保无遗漏。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "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": [
    "白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "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 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅落地灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor], 次卧温度传感器[temperature_sensor]

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

## 设备事件日志
[2026-07-19T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T07:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T08:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T08:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T08:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-19T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-19T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-19T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T08:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T08:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T08:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T08:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T09:00:00] entrance_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:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的离家出门行为，门锁已正确上锁，无安全威胁。",
  "reasoning": [
    "1. 分析门锁状态变化：在 08:02:00，入户门锁 (front_door_lock) 的 LockState 变为 2（通常代表 Locked/Unsecured 或类似锁定状态），紧接着在 08:03:00 变为 1（通常代表 Locked/Secured）。这种从解锁到完全锁定的序列符合用户离开家并反锁门的正常操作逻辑。",
    "2. 验证门窗状态：同一时间点 (08:02:00)，入户门传感器 (front_door_contact) 显示 StateValue = False，表明门处于关闭状态。这与“关门并上锁”的行为一致。",
    "3. 结合 occupancy 数据判断人员活动：在 07:30 至 09:00 期间，所有房间（包括入口、客厅、卧室等）的运动传感器 (occupancy_sensor) 均持续报告 Occupancy = 0。这表明家中无人活动。",
    "4. 综合结论：用户在早晨 8 点左右离开住所，关闭了入户门并执行了上锁操作，随后家中长时间无人。这一系列事件构成了典型的“离家”场景，属于正常行为模式，不存在入侵、设备故障或异常滞留迹象。"
  ],
  "key_evidence": [
    "08:02:00 front_door_lock.LockState = 2 (开始锁定)",
    "08:03:00 front_door_lock.LockState = 1 (完全锁定)",
    "08:02:00 front_door_contact.BooleanState.StateValue = False (门已关闭)",
    "07:30-09:00 全屋 occupancy_sensor 均为 0 (确认无人)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统记录正常离家日志即可。",
    "建议检查智能家居自动化规则，确保离家后自动触发安防布防（如开启摄像头监控、调整恒温器节能模式等）。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "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": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "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, balcony_light
- 已选事件数: 15

## 设备事件日志
[2026-08-20T16:46:03] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T16:46:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T16:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T16:47:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T16:48:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T17:06:03] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T17:06:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T17:07:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T17:07:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T17:08:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-20T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-20T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 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:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "阳台门关闭后开启照明并启动洗衣机，符合正常的居家洗衣行为模式，未检测到安全风险。",
  "reasoning": [
    "1. 分析关键设备状态序列：在 17:20:00，阳台门传感器显示 'False'（通常代表关闭/锁定），紧接着阳台灯变为 'True'（开启）。这表明有人进入或停留在阳台区域，且环境光线可能不足或用户手动开灯，属于正常的人机交互。",
    "2. 分析后续动作：在 17:21:00，洗衣机启动（OperationalState = 1）。结合前一步的开门和开灯动作，这构成了一个连贯的行为链：用户打开阳台门 -> 开灯 -> 启动洗衣机。这非常符合傍晚时分进行洗衣家务的正常生活场景。",
    "3. 排除异常干扰：虽然日志中显示了多个房间的运动传感器活动（如儿童房、玄关、主卧等），但这些活动集中在 16:46-17:08 之间，且随后客厅和次卧传感器显示无人（Occupancy=0），暗示家庭成员可能在房间内休息或处于非活跃状态。阳台区域的特定活动与整体家庭作息不冲突，且没有检测到入侵特征（如门锁被暴力破解、窗户在非正常时间剧烈开启等）或设备故障迹象。"
  ],
  "key_evidence": [
    "17:20:00 balcony_door_contact 状态为 False (Closed)",
    "17:20:00 balcony_light 状态为 True (On)",
    "17:21:00 balcony_laundry_washer 状态为 1 (Running)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议确认该时间段内是否有预设的自动化规则触发灯光，若无，可考虑设置‘阳台门开启时自动补光’以提升便利性。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "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": [
    "正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}