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
- 已选事件数: 37

## 跨天活动摘要
- 2026-07-30: entrance=232, master_bedroom=233, kids_room=230, dining_room=223, living_room=110, master_bathroom=58

## 设备事件日志
[2026-07-30T07:29:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T07:29:26] front_door_contact | BooleanState.StateValue = False
[2026-07-30T07:29:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-30T16:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T16:25:02] front_door_contact | BooleanState.StateValue = False
[2026-07-30T18:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T18:33:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T18:53:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:13:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:20:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:23:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:23:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:26:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T19:33:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:37:05] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T19:40:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:41:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-07-30T19:48:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:48:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:51:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:53:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:00:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-30T20:04:00] entrance_light | OnOff.OnOff = True
[2026-07-30T20:08:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:08:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:11:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:13:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:25:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:28:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:28:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:36:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:43:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:45:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:48:00] master_bedroom_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。

```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晚间活动模式。",
  "reasoning": [
    "入户门锁在16:25被手动锁定（LockOperationType=1），随后在18:18状态确认为已锁（LockState=2），符合傍晚离家或归家后的常规上锁行为。",
    "19:41洗碗机启动，结合19:20-20:48期间玄关、儿童房、主卧、客厅、餐厅等多个区域持续存在人员占用信号（Occupancy=1），表明家庭成员正在家中进行晚餐后清洁及休闲活动，属于正常生活场景。",
    "20:02门锁再次确认为锁定状态，且玄关灯在20:04亮起，可能是住户在室内移动触发了玄关区域的感应或手动开关，整体时间线和设备联动逻辑自洽，无非法入侵或设备故障迹象。"
  ],
  "key_evidence": [
    "16:25 front_door_lock LockOperation(LockOperationType=1) - 正常上锁操作",
    "19:41 kitchen_dishwasher OperationalState.OperationalState = 1 - 家电正常运行",
    "19:20-20:48 多房间 occupancy_sensor 持续报告 Occupancy=1 - 证明有人在家活动"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统运行正常。"
  ]
}
```

{
  "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": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 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: 25

## 设备事件日志
[2026-08-13T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T07:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T07:38:02] kitchen_light | OnOff.OnOff = False
[2026-08-13T07:38:07] master_bedroom_light | OnOff.OnOff = False
[2026-08-13T07:38:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-13T07:38:19] front_door_lock | DoorLock.LockState = 2
[2026-08-13T07:38:21] front_door_contact | BooleanState.StateValue = False
[2026-08-13T07:38:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T07:38:27] front_door_contact | BooleanState.StateValue = True
[2026-08-13T07:38:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-13T07:38:28] front_door_lock | DoorLock.LockState = 1
[2026-08-13T07:50:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T07:58:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T08:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-13T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-08-13T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-08-13T08:10:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:18:22] 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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到住户正常离家出门行为，设备状态变化符合逻辑顺序，无安全威胁。",
  "reasoning": [
    "1. 分析门锁与门磁的联动关系：在 07:38:19，入户门锁执行了上锁操作（LockState=2），紧接着在 07:38:21 门磁传感器显示门未关闭（StateValue=False），这表明有人正在通过物理方式离开或检查门锁，随后在 07:38:27 门磁显示门已关闭（StateValue=True）。这一序列（上锁 -> 门开 -> 关门）是典型的住户出门离家的行为模式。",
    "2. 验证后续状态一致性：在 08:02:00，系统再次确认门锁处于锁定状态（LockState=2）且门磁显示门已关闭（StateValue=False），这证实了住户已经成功离家并确保了入口安全。",
    "3. 结合 occupancy 传感器数据：虽然 entrance_occupancy 在 07:38:22 和 07:58:22 显示为 1（有人），但这通常是因为住户在玄关区域停留、整理物品或刚走出感应范围前的延迟，或者是由于门打开时气流/光线变化导致的短暂误报，但随后的长时间离家状态（08:02后门锁常闭）以及主卧 occupany 持续为 1（可能为另一住户留守或早起活动）并不构成冲突。整体来看，核心事件“出门”的逻辑链条完整且合理。"
  ],
  "key_evidence": [
    "[2026-08-13T07:38:19] front_door_lock | Event: LockOperation(LockOperationType=1...) - 手动上锁",
    "[2026-08-13T07:38:21] front_door_contact | BooleanState.StateValue = False - 门未关",
    "[2026-08-13T07:38:27] front_door_contact | BooleanState.StateValue = True - 门关",
    "[2026-08-13T08:02:00] front_door_lock | DoorLock.LockState = 2 - 确认为锁定状态"
  ],
  "recommended_actions": [
    "无需采取任何行动，当前行为属于正常生活场景。",
    "建议保持现有自动化规则，确保离家后安防系统自动布防。"
  ]
}
```

{
  "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。"
  ]
}


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: 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: 108

## 跨天活动摘要
- 2026-08-09: entrance=51, living_room=49, master_bedroom=48, second_bedroom=48, bathroom=48

## 设备事件日志
[2026-08-09T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T12:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-09T13:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-08-09T13:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-09T13:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-08-09T13:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-08-09T13:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-09T13:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-09T13:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-08-09T13:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-08-09T13:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-08-09T13:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-09T13:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-09T13:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-08-09T13:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-08-09T13:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-09T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-08-09T13:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-08-09T13:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-09T13:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-09T13:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-08-09T13:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-08-09T13:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-09T13:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-08-09T13:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-09T13:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-09T13:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-09T13:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-08-09T13:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-09T13:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-08-09T13:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-08-09T13:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-08-09T13:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-09T13:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-09T14:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-08-09T14:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-08-09T14:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-08-09T14:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-09T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-08-09T14:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-08-09T14:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-08-09T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-09T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-09T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-09T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T14:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-09T14:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-08-09T14:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-08-09T14:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-08-09T14:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-09T14:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-08-09T14:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-08-09T14:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-08-09T14:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-08-09T14:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-08-09T14:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-08-09T14:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-08-09T14:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-08-09T14:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-08-09T14:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-08-09T14:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2452
[2026-08-09T14:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-08-09T14:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2467
[2026-08-09T14:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-08-09T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-08-09T14:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-08-09T14:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-08-09T14:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2447
[2026-08-09T14:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-08-09T14:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-08-09T14:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-08-09T14:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-08-09T14:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-08-09T14:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-08-09T14:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-08-09T14:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-08-09T14:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-08-09T14:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2438
[2026-08-09T14:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-08-09T14:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2440
[2026-08-09T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T19:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T23:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

## 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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常模式，日志显示为正常的家庭环境监控数据。",
  "reasoning": [
    "1. 门锁与传感器状态分析：在 14:05，入户门接触传感器（front_door_contact）显示关闭（False），同时门锁（front_door_lock）处于锁定状态（LockState=2，通常代表 locked）。这表明大门处于紧闭且上锁的安全状态，没有非法入侵迹象。",
    "2.  occupancy 活动模式分析：客厅运动传感器（living_room_occupancy）在 14:06 短暂变为占用（1），随后在 14:30 恢复为空闲（0）。这种短暂的占用后长时间空闲的模式符合住户短暂进入客厅或经过玄关后离开的情景，或者是系统误报后的自动复位，但结合后续所有房间均为空闲状态，更符合无人活动的常态。",
    "3. 温度数据合理性分析：日志中记录了多个时间点的温度读数（如 2472, 2468 等）。Matter 协议中温度通常以厘氏度（centi-degrees Celsius）为单位，即 2472 代表 24.72°C。这些数值处于舒适的室内温度范围（约 24-25°C），且随时间有微小波动，符合空调运行或自然热交换的物理规律，无传感器漂移或故障迹象。",
    "4. 综合行为判断：从 14:00 到 15:30 以及之后，所有房间的 occupancy 传感器均报告为 0，表明家中可能暂时无人或住户处于静止状态（如睡觉、外出）。考虑到这是下午时段，若住户在家，通常会有更频繁的活动记录；若住户外出，则当前状态完全正常。没有任何证据表明存在入侵、火灾、漏水或其他紧急状况。"
  ],
  "key_evidence": [
    "front_door_contact = False (门关闭) 且 front_door_lock.LockState = 2 (已锁定)",
    "所有房间 occupancy_sensor 最终状态均为 0 (无人/空闲)",
    "温度读数在 24.3°C - 25.1°C 之间波动，属于正常室内环境温度"
  ],
  "recommended_actions": [
    "无需采取任何行动，系统运行正常。",
    "建议定期检查门窗传感器和运动传感器的电池电量及连接状态，以确保长期监测的可靠性。"
  ]
}
```

{
  "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。"
  ]
}


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: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, balcony_light
- 已选事件数: 84

## 跨天活动摘要
- 2026-08-26: balcony=3, master_bedroom=233, kids_room=229, entrance=228, dining_room=222, living_room=113

## 设备事件日志
[2026-08-26T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-26T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-26T16:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-26T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-26T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T16:31:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T16:33:09] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T16:34:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T16:34:02] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T16:34:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-26T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-26T16:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-26T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-26T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-26T16:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-26T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-26T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-26T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-26T16:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-26T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-26T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-26T16:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-26T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-26T16:51:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T16:54:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T16:54:02] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T16:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-26T16:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-26T16:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-26T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-26T17:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-26T17:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-26T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:03:09] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-26T17:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-26T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-26T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-26T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-26T17:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-26T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-26T17:11:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T17:14:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T17:14:02] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T17:14:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T17:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-26T17:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-26T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-26T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-26T17:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-26T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-26T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-26T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-26T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-26T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-26T17:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-26T17:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-26T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-26T17:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-26T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-26T17:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-26T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-26T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:31:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T17:33:09] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:34:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T17:34:02] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T17:34:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-26T17:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-26T17:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-26T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-26T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-26T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-26T17:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-26T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-26T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-26T17:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-26T17:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331

## 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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常情况，日志显示为正常的家庭日常活动及环境监控数据。",
  "reasoning": [
    "1. **重点设备行为分析**：在 17:20，阳台门传感器状态变为 False（关闭），同时阳台灯开启，随后洗衣机启动。这符合典型的“回家/进入阳台 -> 开灯 -> 操作家电”的正常生活逻辑，且无非法入侵迹象（如门被强行打开后迅速关闭）。",
    "2. **人员活动模式一致性**：运动传感器数据显示，主卧、儿童房、玄关和餐厅在多个时间点（16:34, 16:54, 17:14, 17:34）频繁触发 Occupancy=1，表明住户在家中正常活动。客厅和次卧的 Occupancy=0 与这些活跃区域形成互补，符合多房间活动的家庭常态。",
    "3. **环境数据稳定性**：温度传感器读数在 23°C - 24°C 之间波动（Matter协议中通常单位为0.01摄氏度，即23.84°C等），变化平缓且数值合理，无剧烈跳变导致的传感器故障或火灾风险迹象。",
    "4. **无异常事件关联**：未检测到烟雾报警、漏水检测、门锁异常解锁或长时间无人活动后的突然闯入等高危信号。所有事件均在时间序列上具有合理的因果或伴随关系。"
  ],
  "key_evidence": [
    "[17:20:00] balcony_door_contact | BooleanState.StateValue = False (门关闭)",
    "[17:20:00] balcony_light | OnOff.OnOff = True (灯开启)",
    "[17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机启动)",
    "[16:34-17:34] 多个房间 occupancy_sensor 持续报告 Occupancy=1，显示住户在家活跃"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续常规监控，确保阳台门窗传感器电池电量充足以维持准确的状态上报。"
  ]
}
```

{
  "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。"
  ]
}


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: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 26

## 设备事件日志
[2026-08-28T07:09:08] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-28T07:09:08] front_door_lock | DoorLock.LockState = 2
[2026-08-28T07:09:10] front_door_contact | BooleanState.StateValue = False
[2026-08-28T07:09:16] front_door_contact | BooleanState.StateValue = True
[2026-08-28T07:09:17] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-28T07:09:17] front_door_lock | DoorLock.LockState = 1
[2026-08-28T08:37:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-28T08:37:00] front_door_lock | DoorLock.LockState = 2
[2026-08-28T08:37:02] front_door_contact | BooleanState.StateValue = False
[2026-08-28T18:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:28:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:30:11] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:31:51] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T19:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:40:02] living_room_light | LevelControl.CurrentLevel = 11
[2026-08-28T19:48:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:50:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:55:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T20:01:51] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-28T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-28T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-28T20:08:00] kitchen_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人在傍晚时段正常回家、开门、开灯及在屋内活动，所有设备状态变化符合正常的居家行为模式，未发现安全威胁。",
  "reasoning": [
    "1. 分析入户门操作：20:02 门锁上锁（LockState=2），20:03 门磁关闭（StateValue=False，表示门关），20:04 玄关灯开启。这一序列（关门->上锁->开灯）是典型的住户回家后进入室内的正常行为逻辑，且时间（20:04）与之前的室内活动（19:52-20:01 各房间有人）衔接自然，表明老人已安全回家并进入生活区域。",
    "2. 分析人员活动轨迹：从 18:52 开始，玄关运动传感器多次触发，随后厨房、卧室、客厅均有 occupancy 数据，卫生间有短暂的离开记录（19:31, 20:01）。这种多房间的活动轨迹符合老年人在晚间进行做饭、休息或如厕等日常活动的特征，无长时间静止不动导致的异常静默报警。",
    "3. 排除其他风险：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信号；门窗传感器仅在正常开关时变化，无非法入侵迹象（如深夜强行开锁或窗户异常打开）；设备状态响应及时，无传感器卡死或失灵迹象。"
  ],
  "key_evidence": [
    "[2026-08-28T20:02:00] front_door_lock | DoorLock.LockState = 2 (确认门锁闭)",
    "[2026-08-28T20:03:00] front_door_contact | BooleanState.StateValue = False (确认门已关)",
    "[2026-08-28T20:04:00] entrance_light | OnOff.OnOff = True (确认人进入并开灯)",
    "[2026-08-28T19:28:00 - 20:08:00] 多个房间 occupancy_sensor 持续或间歇性报告 Occupancy = 1 (证明人员在屋内正常活动)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控晚间活动规律，若后续出现长时间无活动或夜间异常开门，再行介入。"
  ]
}
```

{
  "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": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 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: 131

## 跨天活动摘要
- 2026-07-05: living_room=194, bedroom=209, bathroom=57, kitchen=14, entrance=3
- 2026-07-06: living_room=110, bedroom=66, bathroom=57, entrance=14, kitchen=8
- 2026-07-07: living_room=110, bedroom=221, bathroom=55, entrance=14, kitchen=9

## 设备事件日志
[2026-07-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T05:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2432
[2026-07-05T05:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2440
[2026-07-05T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-07-05T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-07-05T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2467
[2026-07-05T05:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-05T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-07-05T05:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-07-05T05:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-05T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-07-05T06:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-07-05T06:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-07-05T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-07-05T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-07-05T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-07-05T06:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-05T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-07-05T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2497
[2026-07-05T06:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-05T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T06:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-05T06:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T06:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-07-05T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-07-05T06:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2408
[2026-07-05T06:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-07-05T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-07-05T06:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-07-05T07:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-07-05T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-07-05T07:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-07-05T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-07-05T07:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-07-05T07:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2509
[2026-07-05T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-07-05T07:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-07-05T07:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-07-05T07:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-07-05T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2532
[2026-07-05T08:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524
[2026-07-05T08:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-05T11:58:00] kitchen_light | OnOff.OnOff = True
[2026-07-05T18:08:00] kitchen_light | OnOff.OnOff = True
[2026-07-06T05:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2440
[2026-07-06T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-07-06T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-07-06T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-07-06T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-07-06T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-07-06T06:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-07-06T06:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-07-06T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-06T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-07-06T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-07-06T06:17:05] bedroom_light | OnOff.OnOff = True
[2026-07-06T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-07-06T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-07-06T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-07-06T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-07-06T06:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-07-06T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T06:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-07-06T06:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-07-06T06:39:04] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T06:39:30] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T06:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-07-06T06:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-06T06:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-07-06T06:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-07-06T06:59:04] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T07:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2415
[2026-07-06T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-07-06T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-07-06T07:08:19] kitchen_light | OnOff.OnOff = True
[2026-07-06T07:09:30] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T07:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-07-06T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-07-06T07:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-07-06T07:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2519
[2026-07-06T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-07-06T07:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-07-06T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2521
[2026-07-06T07:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2528
[2026-07-06T07:34:00] kitchen_light | OnOff.OnOff = False
[2026-07-06T07:34:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-06T07:34:28] front_door_contact | BooleanState.StateValue = False
[2026-07-06T07:34:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-06T07:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2527
[2026-07-06T07:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-07-06T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-07-06T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-07-06T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524
[2026-07-06T08:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2532
[2026-07-06T18:53:00] kitchen_light | OnOff.OnOff = True
[2026-07-07T05:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2431
[2026-07-07T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2440
[2026-07-07T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2455
[2026-07-07T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-07-07T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-07-07T05:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-07T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-07-07T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2467
[2026-07-07T06:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-07-07T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-07-07T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-07-07T06:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-07T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-07-07T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-07-07T06:26:03] bathroom_light | OnOff.OnOff = True
[2026-07-07T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-07-07T06:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-07-07T06:31:03] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T06:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-07T06:36:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T06:36:07] bedroom_light | OnOff.OnOff = True
[2026-07-07T06:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T06:42:00] kitchen_light | OnOff.OnOff = True

## 任务
请从下面 3 天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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常模式，所有设备日志符合正常住户行为逻辑。",
  "reasoning": [
    "1. **活动规律性分析**：跨天摘要显示，客厅（living_room）和卧室（bedroom）在三天内均有显著的活动记录（如7月5日客厅194次、卧室209次），表明住户在家且作息规律。早晨6:30-7:30之间，卫生间、卧室、客厅的运动传感器依次触发，伴随灯光开启，符合典型的起床、洗漱、准备出门的晨间流程。",
    "2. **门锁与出入行为**：7月6日07:34左右，入户门先解锁后上锁，随后运动传感器显示无人（07:30及之后客厅/卧室无持续占用），这符合住户离家上班或外出的标准行为模式，不存在非法入侵迹象。",
    "3. **环境数据合理性**：温度传感器读数随时间缓慢变化（例如清晨室温从24°C逐渐上升至25°C以上），这是正常的室内热惯性表现，未发现传感器卡死（数值不变）或漂移（数值突变）的迹象。",
    "4. **关键设备状态**：重点关注的厨房灯仅在烹饪或准备时段短暂开启（如11:58, 18:08, 07:08），且关闭及时，未发现长时间无人却开着的“未看管烹饪”风险；烟雾报警器和漏水传感器无任何告警事件。"
  ],
  "key_evidence": [
    "7月6日07:34:26 front_door_lock 解锁 -> 07:34:37 上锁，随后各房间 occupancy 归零，符合离家逻辑。",
    "连续三天早晨 06:30-07:00 期间，bathroom_occupancy 和 bedroom_light 的联动触发，显示规律的晨间起居活动。",
    "TemperatureMeasurement.MeasuredValue 呈现平滑的自然升温曲线，无异常跳变。"
  ],
  "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。"
  ]
}
```

{
  "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": [
    "触发时间位于清晨起床窗口且有轻微抖动，不是固定的可疑重复模式。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 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: SQ2
- 重点房间: entrance
- 重点设备: front_door_contact, front_door_lock
- 已选事件数: 25

## 设备事件日志
[2026-07-10T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T07:12:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-10T07:12:24] front_door_lock | DoorLock.LockState = 2
[2026-07-10T07:12:26] front_door_contact | BooleanState.StateValue = False
[2026-07-10T07:12:27] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T07:12:34] front_door_contact | BooleanState.StateValue = True
[2026-07-10T07:12:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-10T07:12:35] front_door_lock | DoorLock.LockState = 1
[2026-07-10T07:27:48] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T07:30:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T07:31:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T07:32:27] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T07:50:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T07:50:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T07:51:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T07:52:27] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T07:57:48] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-10T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-10T08:03:00] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的早晨离家行为模式，无安全威胁。",
  "reasoning": [
    "1. 分析入户门状态：日志显示在 07:12:24 门锁被手动解锁（LockState=2），随后门传感器显示关闭（False），接着有人进入/离开导致 occupancy 变为 1，最后门锁再次被手动锁定（LockState=1）。这一系列动作符合住户出门并反锁门的正常逻辑。",
    "2. 分析人员分布与时间关联：在 07:30 至 08:00 期间，主卧、餐厅、儿童房等区域有人员活动（Occupancy=1），而客厅和次卧无人。这符合家庭成员起床后分散在家中的正常晨间活动特征。",
    "3. 确认最终状态：08:02 时，入户门传感器显示关闭（False）且门锁状态为已锁定（LockState=2，通常表示 locked/unsecured 或 simply locked depending on implementation, but combined with contact sensor closed and subsequent lock event at 08:03 showing state 1 which is often 'locked' in Matter spec where 1=Locked, 2=Unlocked or vice versa - let's re-verify Matter specs). Note: In Matter Door Lock Cluster, LockState 1 is Locked, 2 is Unlocked. The log shows 07:12 LockState=2 (Unlocked), then 07:12:35 LockState=1 (Locked). At 08:02, LockState=2 (Unlocked) appears briefly? Wait, looking closely at 08:02:00, LockState=2 and Contact=False. Then at 08:03:00, LockState=1. This sequence (Unlock -> Open/Close -> Lock) at 08:02 suggests a final check or a second person leaving/locking up, or potentially the system reporting the state after the previous manual lock action propagated. However, given the context of morning activity and no forced entry indicators (like rapid unlock without occupancy or alarm triggers), this aligns with normal household operations."
  ],
  "key_evidence": [
    "07:12:24 门锁手动解锁，随后立即重新锁定，伴随玄关运动传感器激活，符合出门行为。",
    "07:30-08:00 多个房间（主卧、餐厅、儿童房）存在人员活动，符合家庭晨间作息。",
    "08:02-08:03 门锁状态从解锁变为锁定，且门窗传感器闭合，表明入口处于安全封闭状态。"
  ],
  "recommended_actions": [
    "无需采取任何安全措施。",
    "继续监控日常模式以建立更精确的行为基线。"
  ]
}
```

{
  "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。"
  ]
}


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: front_door_contact, front_door_lock
- 已选事件数: 24

## 设备事件日志
[2026-07-17T07:10:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-17T07:10:19] front_door_lock | DoorLock.LockState = 2
[2026-07-17T07:10:21] front_door_contact | BooleanState.StateValue = False
[2026-07-17T07:10:27] front_door_contact | BooleanState.StateValue = True
[2026-07-17T07:10:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-17T07:10:28] front_door_lock | DoorLock.LockState = 1
[2026-07-17T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T07:47:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:51:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-17T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-17T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-17T08:11:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T08:17:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T08:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T18:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-17T18:22:00] front_door_lock | DoorLock.LockState = 2
[2026-07-17T18:22:02] front_door_contact | BooleanState.StateValue = False
[2026-07-17T21:49:37] front_door_contact | BooleanState.StateValue = True
[2026-07-17T21:49:38] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-17T21:49:38] front_door_lock | DoorLock.LockState = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示的是正常的入户门开关及上锁操作，结合时间点和后续的运动传感器数据，符合住户日常作息规律，未检测到安全风险。",
  "reasoning": [
    "分析07:10的事件序列：门锁先解锁（LockState=2），随后门磁显示关闭（False，即门开），几秒后门磁显示开启（True，即门关），最后门锁重新上锁（LockState=1）。这构成了一个完整的‘出门’或‘短暂外出后返回并反锁’的物理动作闭环，逻辑自洽且无异常延迟。",
    "分析08:02-08:03的事件序列：门锁再次上锁（LockState=2->1）且门磁为关闭状态（False）。考虑到07:51卧室有人活动，08:02可能是住户在屋内确认门锁好，或者是住户离开家时的最后一步操作。结合08:11卧室仍有 occupancy 信号，可能存在住户在屋内不同房间移动或刚起床整理仪容的情况，整体行为模式符合早晨时段特征。",
    "分析18:22和21:49的事件序列：18:22门锁上锁（LockState=2）且门磁关闭（False），符合傍晚回家进门后的反锁习惯；21:49门磁打开（True）且门锁解锁（LockState=1），符合夜间休息前检查门窗或准备就寝的行为。所有事件均发生在合理的时间窗口内，且设备状态变化顺序符合物理常识。"
  ],
  "key_evidence": [
    "07:10:19 LockOperation Unlock -> 07:10:21 Contact False (Open) -> 07:10:27 Contact True (Closed) -> 07:10:28 LockOperation Lock. 完整的外出/返回循环。",
    "18:22:00 LockState = 2 (Locked) 与 21:49:37 Contact StateValue = True (Open) 形成早晚出入的对比，符合正常生活轨迹。",
    "运动传感器(occupancy_sensor)在关键时间点前后均有活跃记录，排除了设备离线或误报导致的状态孤立现象。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议保持当前自动化规则，确保离家时自动上锁功能正常工作即可。"
  ]
}
```

{
  "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。"
  ]
}


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: front_door_contact, front_door_lock
- 已选事件数: 25

## 设备事件日志
[2026-07-13T07:12:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-13T07:12:19] front_door_lock | DoorLock.LockState = 2
[2026-07-13T07:12:21] front_door_contact | BooleanState.StateValue = False
[2026-07-13T07:12:24] front_door_contact | BooleanState.StateValue = True
[2026-07-13T07:12:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-13T07:12:25] front_door_lock | DoorLock.LockState = 1
[2026-07-13T07:29:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T07:30:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T07:49:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T08:00:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-13T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-13T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-13T08:09:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T08:29:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T08:30:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T18:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-13T18:17:00] front_door_lock | DoorLock.LockState = 2
[2026-07-13T18:17:02] front_door_contact | BooleanState.StateValue = False
[2026-07-13T22:04:34] front_door_contact | BooleanState.StateValue = True
[2026-07-13T22:04:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-13T22:04:35] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示的是正常的居家生活行为模式，包括早晨出门、白天在卧室活动以及晚间回家并反锁门锁，未发现安全威胁。",
  "reasoning": [
    "分析早晨时段 (07:12 - 08:09)：用户在 07:12 解锁门（LockState=2）并短暂开门后重新上锁（LockState=1），随后在 08:02 再次确认门锁状态为已锁定（LockState=2）。结合卧室运动传感器在 07:29 和 07:49 的激活，符合用户起床、整理或短暂外出后返回室内的正常晨间活动逻辑。",
    "分析日间时段 (08:30 - 18:17)：客厅和卫生间运动传感器持续显示无人（Occupancy=0），而卧室传感器间歇性激活，表明住户主要在卧室休息或工作，符合典型的居家/远程办公或休息状态。",
    "分析晚间时段 (18:17 - 22:04)：18:17 用户手动解锁大门（LockOperationType=1），对应下班回家场景；22:04 门传感器触发（StateValue=True，表示门打开），随即用户手动执行上锁操作（LockOperationType=0, LockState=1），这是标准的夜间归家后的安防动作。整个流程逻辑连贯，无异常闯入或设备故障迹象。"
  ],
  "key_evidence": [
    "07:12 和 18:17 的 LockOperationType=1 (Unlock) 与随后的 Home/Away 状态变化匹配",
    "22:04 的门开启后立即跟随手动上锁操作，符合归家安防习惯",
    "全天各区域 occupancy 传感器数据符合单人居住的行为轨迹，无长时间静止或异常活跃"
  ],
  "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（如离家自动布防）。"
  ]
}
```

{
  "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。"
  ]
}


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: 16

## 设备事件日志
[2026-07-04T16:46:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T16:48:07] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T17:06:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T17:18:07] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-04T17:20:00] balcony_light | OnOff.OnOff = True
[2026-07-04T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-04T17:26:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T17:46:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T17:48:07] bathroom_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到阳台门关闭、灯光开启及洗衣机启动，结合客厅有人活动且卧室无人，符合傍晚时段住户在阳台进行洗衣活动的正常行为模式。",
  "reasoning": [
    "1. 分析关键设备状态：17:20 阳台门传感器显示 False（通常代表关闭/锁定），同时阳台灯开启；17:21 洗衣机进入 OperationalState 1（运行中）。这表明住户正在使用阳台的洗衣设施。",
    "2. 结合人员分布推理：日志显示 16:46 至 17:48 期间，客厅运动传感器多次触发（Occupancy=1），而主卧、次卧、玄关及卫生间均无人员活动或处于空闲状态。这符合住户在客厅休息或活动，并前往阳台处理家务（洗衣）的场景。",
    "3. 排除安全威胁：阳台门在洗衣机启动前已关闭，未检测到非法入侵迹象；时间为 17:20，属于正常的日间/傍晚活动时间，非深夜异常活动；无漏水、烟雾或其他危险传感器报警。整体行为逻辑连贯，无异常风险。"
  ],
  "key_evidence": [
    "[2026-07-04T17:20:00] balcony_door_contact | BooleanState.StateValue = False (门已关闭)",
    "[2026-07-04T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机开始工作)",
    "[2026-07-04T17:26:00] living_room_occupancy | OccupancySensing.Occupancy = 1 (客厅有人，支持住户在家活动的假设)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统保持监控即可。"
  ]
}
```

{
  "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。"
  ]
}


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: 17

## 设备事件日志
[2026-08-29T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-29T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-29T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-29T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": 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，结合全屋无人员活动状态，判断为住户在阳台进行洗衣活动的正常行为。",
  "reasoning": [
    "1. 分析关键设备联动：日志显示阳台门传感器状态变为 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）。这一系列动作符合‘开门 -> 开灯 -> 使用电器’的正常生活逻辑。",
    "2. 结合时间与环境背景：时间为 17:20，属于傍晚时段，适合进行晾晒或洗衣家务。虽然此时段其他房间的运动传感器均显示无人（Occupancy = 0），但这可能是因为住户长时间停留在阳台区域，未触发室内传感器的移动检测，或者传感器存在盲区，这在智能家居中是常见现象，并不直接构成入侵证据。",
    "3. 排除安全威胁：没有发现门锁异常开启、烟雾报警、漏水或其他危险信号。阳台作为半户外空间，门打开且有人活动（通过洗衣机推断）是合理的家庭场景，未发现入侵、火灾或设备故障迹象。"
  ],
  "key_evidence": [
    "balcony_door_contact: BooleanState.StateValue = False (门打开)",
    "balcony_light: OnOff.OnOff = True (灯亮)",
    "balcony_laundry_washer: OperationalState.OperationalState = 1 (洗衣机工作)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议确认该时间段是否有住户在阳台活动，以完善用户习惯画像，减少未来可能的误报。"
  ]
}
```

{
  "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。"
  ]
}


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: front_door_contact, front_door_lock
- 已选事件数: 18

## 设备事件日志
[2026-07-05T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-05T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-05T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-05T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T08:31:10] bedroom_light | OnOff.OnOff = True
[2026-07-05T08:31:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-07-05T22:48:29] front_door_contact | BooleanState.StateValue = True
[2026-07-05T22:48:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-05T22:48:30] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的居家活动模式（早晨离家/起床，晚间回家）。",
  "reasoning": [
    "1. 分析早晨事件 (08:02 - 08:31): 08:02 门锁状态变为 '2' (通常代表已锁定或处于某种中间态)，紧接着门传感器显示 'False' (关闭)。随后在 08:03 门锁状态变为 '1' (通常代表已上锁/Secure)。这一序列符合用户出门并确认反锁的行为。虽然 occupancy 传感器在 08:30 仍显示无人，但 08:31 卧室有人且开灯、开窗，表明住户可能刚起床或在卧室活动，这与早晨的时间点吻合，属于正常生活节奏。",
    "2. 分析晚间事件 (22:48 - 22:48:30): 22:48 门传感器显示 'True' (打开)，紧接着触发手动开锁操作 (LockOperationType=0 通常指解锁)，最后门锁状态变为 '1' (Secure/Locked)。这里需要仔细解读 Matter 协议中的 LockState：通常 1 代表 Locked (Secure)，2 代表 Unlocked。如果 22:48:30 的 LockState=1 表示门已重新锁好，那么整个流程是：开门进入 -> 手动操作(可能是关门后的自动落锁或手动反锁) -> 门处于锁定状态。这完全符合住户深夜回家的正常行为。",
    "3. 综合判断: 所有关键设备（门锁、门磁）的状态变化逻辑连贯，时间分布合理（早晨出门/起床，晚上回家），没有发现非法入侵迹象（如非授权时间强行开锁）、设备故障（如传感器卡死）或异常行为模式。"
  ],
  "key_evidence": [
    "08:02-08:03 门锁从非锁定态转为锁定态 (LockState 2->1)，配合门磁关闭，符合出门反锁逻辑。",
    "22:48 门磁开启后触发手动解锁/操作，最终门锁保持锁定状态 (LockState 1)，符合回家进门并反锁的逻辑。",
    "全天无异常的时间段活动，Occupancy 传感器数据与灯光控制逻辑一致。"
  ],
  "recommended_actions": [
    "无需采取任何安全措施。",
    "建议定期检查门锁电池电量以确保长期稳定运行。"
  ]
}
```

{
  "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。"
  ]
}