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
[2026-07-08T16:45:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T16:45:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T16:45:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T16:47:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T16:48:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T17:05:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T17:05:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T17:05:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T17:07:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T17:08:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-08T17:20:00] balcony_light | OnOff.OnOff = True
[2026-07-08T17:21:00] 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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "阳台门关闭、灯光开启及洗衣机启动符合傍晚时段正常的家务活动模式，未检测到安全风险。",
  "reasoning": [
    "1. 时间背景分析：事件发生在2026-07-08的17:20左右，属于傍晚下班或放学后的居家活跃时段。此前（16:45-17:08）多个房间（主卧、儿童房、玄关等）的运动传感器持续触发，表明家中有人活动。",
    "2. 行为逻辑连贯性：17:20阳台门传感器显示为False（通常代表关闭/锁定），紧接着阳台灯开启（OnOff=True），随后洗衣机启动（OperationalState=1）。这一序列符合典型的“回家/整理家务”行为：关闭阳台门确保安全 -> 开灯照明 -> 开始洗衣工作。",
    "3. 排除异常特征：没有检测到非法入侵迹象（如门锁被暴力破解、非授权时间段的门窗开启）、设备故障（如传感器卡死导致状态不更新）或安全隐患（如漏水、烟雾报警）。所有动作均在合理的时间窗口内连续发生，且与家庭其他区域的活跃状态一致。"
  ],
  "key_evidence": [
    "17:20:00 balcony_door_contact = False (门已关闭)",
    "17:20:00 balcony_light = True (伴随开门/关门动作后开灯)",
    "17:21:00 balcony_laundry_washer = 1 (洗衣机启动)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议确认洗衣机运行正常，无漏水风险即可。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到阳台门在无人看管且洗衣机启动前被打开，存在非法入侵或尾随进入的风险。",
  "reasoning": [
    "推理步骤 1: 分析时间线，在 17:00-17:19 期间，客厅、次卧等公共及私密区域运动传感器均显示无人员活动（Occupancy = 0），表明此时家中可能已处于空房状态或主要成员不在场。",
    "推理步骤 2: 关键事件发生在 17:20:00，阳台门接触传感器状态变为 False（门被打开）。结合此前 30 分钟内该区域无人员活动的记录，此开门行为极不寻常，不符合正常回家或日常家务的时序逻辑。",
    "推理步骤 3: 紧接着在 17:20:00 阳台灯开启，随后 1 分钟（17:21:00）洗衣机开始运行。虽然洗衣机启动可能是为了清洗衣物，但在门刚打开且环境看似无人时立即操作，增加了有人潜入并试图掩盖行踪的可能性，或者存在尾随者利用开门瞬间进入。这种‘先开门后开灯再操作设备’的快速连续动作是典型的入侵尝试模式。"
  ],
  "key_evidence": [
    "17:00-17:19 期间多个房间（包括客厅、卧室）运动传感器持续报告 Occupancy = 0，暗示室内无人。",
    "17:20:00 阳台门突然打开（StateValue = False），且紧随其后（17:20:00）即开启灯光和启动洗衣机，动作连贯且迅速。"
  ],
  "recommended_actions": [
    "立即通过 Matter 协议远程锁定入户门锁，防止进一步入侵。",
    "向住户发送紧急警报通知，告知阳台门异常开启及后续设备操作情况。",
    "调取阳台及周边摄像头录像（如有）进行人工复核，确认是否有可疑人员。"
  ]
}
```


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

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

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

## 家庭环境信息
家庭布局: 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: 131

## 跨天活动摘要
- 2026-08-27: living_room=113, kids_room=230, master_bedroom=229, entrance=229, dining_room=218, master_bathroom=52
- 2026-08-28: living_room=112, kids_room=231, entrance=228, master_bedroom=227, dining_room=220, master_bathroom=55
- 2026-08-29: living_room=49, dining_room=48, master_bedroom=48, second_bedroom=48, kids_room=48, master_bathroom=48

## 设备事件日志
[2026-08-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T05:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-08-27T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-08-27T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-08-27T05:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-08-27T05:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-08-27T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-08-27T05:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-08-27T06:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-08-27T06:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T06:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-08-27T06:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-27T06:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-08-27T06:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-08-27T06:20:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T06:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-08-27T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-08-27T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-27T06:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-27T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T06:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T06:32:18] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-08-27T06:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-27T06:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T06:37:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T06:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-08-27T06:42:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T06:44:00] master_bathroom_light | OnOff.OnOff = False
[2026-08-27T06:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-27T06:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-08-27T06:45:36] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T06:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-08-27T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-08-27T06:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-27T06:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-08-27T07:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-08-27T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-08-27T07:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T07:02:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T07:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-27T07:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-08-27T07:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-08-27T07:15:36] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T07:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2520
[2026-08-27T07:20:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T07:23:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T07:24:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-27T07:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-08-27T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2518
[2026-08-27T07:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-08-27T07:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2533
[2026-08-27T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T08:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2525
[2026-08-27T22:16:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2452
[2026-08-28T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-08-28T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-08-28T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-08-28T06:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-08-28T06:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-08-28T06:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-28T06:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-28T06:17:00] master_bathroom_light | OnOff.OnOff = True
[2026-08-28T06:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-08-28T06:21:06] kids_room_light | OnOff.OnOff = True
[2026-08-28T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-28T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-08-28T06:29:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T06:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2497
[2026-08-28T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-08-28T06:36:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T06:37:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T06:39:00] second_bathroom_light | OnOff.OnOff = True
[2026-08-28T06:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-08-28T06:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-28T06:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T06:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-08-28T06:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-08-28T06:56:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T07:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2509
[2026-08-28T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-08-28T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-08-28T07:09:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T07:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2518
[2026-08-28T07:14:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-28T07:14:17] dining_room_light | OnOff.OnOff = True
[2026-08-28T07:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-08-28T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-08-28T07:19:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T07:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-08-28T07:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-08-28T07:26:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-08-28T07:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-08-28T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T07:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-08-28T07:36:22] kids_room_light | OnOff.OnOff = False
[2026-08-28T07:36:28] front_door_contact | BooleanState.StateValue = False
[2026-08-28T07:36:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-28T07:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-08-28T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2531
[2026-08-28T08:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-08-28T08:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-28T18:26:00] kitchen_light | OnOff.OnOff = True
[2026-08-29T05:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2436
[2026-08-29T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-08-29T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-08-29T05:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2467
[2026-08-29T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-29T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-08-29T06:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T06:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T06:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-08-29T06:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-29T06:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-29T06:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-29T06:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-29T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-29T06:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T06:42:00] 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，所有设备状态变化符合正常的家庭作息规律。",
  "reasoning": [
    "1. **作息规律性分析**：日志显示住户在凌晨05:00-06:30之间陆续起床（主卧、儿童房、客厅 occupancy 变为 1），并在早晨07:30-08:00左右离开主要活动区域（客厅 occupancy 变为 0，入户门关闭并上锁）。这与典型的上班族/学生家庭晨间作息高度一致。",
    "2. **环境参数正常**：温度传感器读数在24°C-25°C之间波动，属于舒适的室内环境温度，且随时间缓慢上升（白天日照或空调影响），无剧烈跳变或传感器故障迹象。",
    "3. **关键设备行为合理**：厨房灶具仅在早晨07:14出现一次关闭操作（OnOff=False），结合餐厅灯开启和用餐区有人活动的记录，推测为早餐烹饪结束，随后无人长时间滞留厨房，不存在“unattended_cooking”风险。",
    "4. **安防逻辑闭环**：08月28日07:36记录到前门接触传感器关闭（False）及门锁手动上锁事件，确认住户已离家，后续无非法入侵迹象。"
  ],
  "key_evidence": [
    "2026-08-28T07:36:28 front_door_contact | BooleanState.StateValue = False (门关闭)",
    "2026-08-28T07:36:31 front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual) (手动上锁)",
    "2026-08-27T06:20:00 - 08:00:00 多个房间 Occupancy 从 0 变为 1 再变为 0 的完整起床-离家流程",
    "TemperatureMeasurement.MeasuredValue 维持在 2400-2550 (24-25.5°C) 的正常范围内"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续保持当前的自动化场景配置（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": [
    "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: 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: 99

## 跨天活动摘要
- 2026-08-25: entrance=17, bedroom=220, living_room=115, bathroom=55, kitchen=8

## 设备事件日志
[2026-08-25T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T07:22:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-25T07:22:21] front_door_lock | DoorLock.LockState = 2
[2026-08-25T07:22:23] front_door_contact | BooleanState.StateValue = False
[2026-08-25T07:22:31] front_door_contact | BooleanState.StateValue = True
[2026-08-25T07:22:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-25T07:22:32] front_door_lock | DoorLock.LockState = 1
[2026-08-25T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T13:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-08-25T13:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-25T13:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-25T13:17:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T13:17:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T13:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-08-25T13:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-08-25T13:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-25T13:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-25T13:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-08-25T13:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-25T13:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-08-25T13:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-25T13:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-08-25T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T13:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-25T13:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-25T13:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-08-25T13:37:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T13:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-25T13:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-25T13:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-25T13:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-25T13:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-08-25T13:47:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T13:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-08-25T13:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-25T13:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-25T13:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-25T13:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-25T13:57:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T14:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-08-25T14:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-25T14:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-08-25T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T14:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-25T14:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-25T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-25T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-25T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-25T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T14:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-08-25T14:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-25T14:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-08-25T14:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-08-25T14:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-08-25T14:17:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T14:17:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T14:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-08-25T14:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-25T14:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-08-25T14:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2461
[2026-08-25T14:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-25T14:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-08-25T14:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-25T14:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-08-25T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T14:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-08-25T14:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-25T14:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-08-25T14:37:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T14:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2452
[2026-08-25T14:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-25T14:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-08-25T14:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-08-25T14:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-25T14:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-08-25T14:47:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T14:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-08-25T14:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2440
[2026-08-25T14:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2447
[2026-08-25T14:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-25T14:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-08-25T14:57:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T18:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-25T18:00:00] front_door_lock | DoorLock.LockState = 2
[2026-08-25T18:00:02] front_door_contact | BooleanState.StateValue = False
[2026-08-25T18:00:17] entrance_light | OnOff.OnOff = True
[2026-08-25T19:20:23] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T20:49:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T21:54:08] entrance_light | OnOff.OnOff = False
[2026-08-25T21:54:38] front_door_contact | BooleanState.StateValue = True
[2026-08-25T21:54:39] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-25T21:54:39] front_door_lock | DoorLock.LockState = 1
[2026-08-25T22:19:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T23:49:06] 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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常模式，日志显示为正常的居家活动序列。",
  "reasoning": [
    "1. 入户门操作逻辑正常：07:22 住户手动解锁并开门（LockState 2 -> Contact False），随后立即关门并重新上锁（Contact True -> LockState 1），符合早晨出门的行为特征。14:05 再次出现解锁和开门动作，结合后续客厅 occupancy 传感器在 14:07 变为活跃（Occupancy=1），表明是住户回家。18:00 的解锁/开门动作后无后续室内活动记录，可能是短暂外出或取物，但随后 19:20 室内恢复活跃，整体行为连贯。",
    "2. 室内活动与传感器反馈一致：13:17 卧室有人活动，14:07 客厅有人活动，19:20、20:49、22:19、23:49 客厅持续有人员存在迹象。这些时间点与温度传感器的读数变化（如午后温度波动）相符，没有发现长时间无人却触发警报或设备误动的情况。",
    "3. 夜间安全状态良好：21:54 住户离开家（Contact True -> LockState 1 上锁），此后直到日志结束（23:49），入户门保持锁定状态，且室内（主要是客厅）仍有人员活动，说明住户并未离家过夜，而是留在屋内，这解释了为何深夜仍有 occupancy 信号。",
    "4. 无火灾、漏水或入侵迹象：厨房烟雾报警器、漏水传感器均无报警事件；门窗传感器仅在预期的进出时触发；所有设备状态变化均有合理的因果关联（如人进门->灯亮/occupancy变1）。"
  ],
  "key_evidence": [
    "07:22:21-32: 早晨出门的标准流程（解锁->开门->关门->上锁）。",
    "14:05-07: 下午回家流程（解锁->开门->客厅occupancy激活）。",
    "21:54:38-39: 夜间确认门锁已上锁（LockState=1），且之后室内仍有活动，排除非法入侵可能。",
    "全天 Occupancy 传感器数据与灯光控制逻辑一致，无异常跳变。"
  ],
  "recommended_actions": [
    "无需采取任何行动，系统运行正常。",
    "建议继续保持当前的自动化规则，确保夜间离家时自动上锁功能正常工作。"
  ]
}
```

{
  "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: 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
[2026-08-19T16:45:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T16:52:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T17:05:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-19T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-19T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-19T17:22:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T17:25:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T17:45:26] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```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，结合入户门活动记录，符合住户在傍晚时段进行日常家务活动的正常行为模式。",
  "reasoning": [
    "1. 分析重点设备状态：日志显示阳台门传感器（balcony_door_contact）状态为 False（通常表示关闭/锁定），随后阳台灯（balcony_light）开启，紧接着洗衣机（balcony_laundry_washer）进入运行状态（OperationalState = 1）。这一序列逻辑连贯，表明有人进入阳台区域，关门后开灯并启动洗衣程序，属于典型的居家生活场景。",
    "2. 结合时间与环境背景：事件发生在 17:20 - 17:30 之间，正值傍晚下班或回家后的时间段。此时段开启阳台灯和启动洗衣机符合居民生活习惯。",
    "3. 排除入侵风险：虽然主要关注阳台，但日志中同时记录了 entrance_occupancy（玄关运动传感器）在 16:45、17:05、17:25 和 17:45 多次触发为 1。这表明住户在屋内或门口有正常的活动轨迹，且阳台门处于关闭状态（False），没有证据表明门窗被非法打开或存在未授权入侵迹象。"
  ],
  "key_evidence": [
    "balcony_door_contact | BooleanState.StateValue = False (阳台门已关闭)",
    "balcony_light | OnOff.OnOff = True (阳台灯开启)",
    "balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机开始工作)",
    "entrance_occupancy 多次触发 (证明住户在屋内正常活动)"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统保持监控即可。",
    "建议确认洗衣机是否按预期完成洗涤周期，以防遗忘导致干烧或漏水风险（虽当前无异常，但属良好习惯）。"
  ]
}
```

{
  "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 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]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 床头灯[onoff_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房运动传感器[occupancy_sensor], 厨房漏水传感器[water_leak_detector]

## 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, living_room_window_contact
- 已选事件数: 30

## 设备事件日志
[2026-07-22T08:33:18] living_room_light | OnOff.OnOff = True
[2026-07-22T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-22T08:58:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-07-22T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2535
[2026-07-22T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-07-22T09:18:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-07-22T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-22T09:30:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T09:33:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T09:34:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-22T09:38:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-22T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-07-22T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-22T09:50:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T09:53:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T09:54:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-22T09:56:58] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T09:58:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-22T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-22T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-22T10:07:00] living_room_light | OnOff.OnOff = True
[2026-07-22T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-22T10:10:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T10:13:03] 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": "未检测到安全威胁，日志显示为独居老人在上午时段的正常居家活动及环境监控数据。",
  "reasoning": [
    "1. 人员活动模式分析：日志显示在09:30至10:13期间，厨房、玄关、卧室等多个区域的活动传感器（Occupancy）被触发，且客厅也有持续活动迹象。这种多房间、分散式的活动轨迹符合老人在家中进行日常起居（如去厨房、卫生间、卧室等）的正常行为特征，不存在长时间静止或异常入侵的迹象。",
    "2. 门窗状态分析：10:05和10:06分别记录了客厅和卧室窗户传感器状态为False（通常代表关闭/闭合）。结合上午时段和老人独自在家的情境，窗户保持关闭是安全的常态，未发现非法开启或长时间敞开的风险。",
    "3. 设备状态与数据合理性：客厅灯光在08:33和10:07开启，符合白天自然光不足或夜间起夜后的补光逻辑。温度传感器读数在2538-2557之间波动（对应约25.4°C-25.6°C），数值稳定且处于舒适区间，无剧烈跳变表明传感器工作正常，无漂移或故障迹象。"
  ],
  "key_evidence": [
    "多区域活动传感器（Kitchen, Entrance, Bedroom, Living Room）在09:30-10:13期间依次触发，呈现正常的居家移动路径。",
    "Living room window contact 和 bedroom window contact 在10:05-10:06均显示为 False (Closed)，门窗处于安全闭合状态。",
    "Temperature sensor 读数稳定在 25.4°C - 25.6°C 左右，无异常波动。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续维持当前的监控策略，关注后续是否有长时间无活动的情况以防范跌倒风险。"
  ]
}
```

{
  "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。"
  ]
}


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: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 27

## 设备事件日志
[2026-08-07T07:28:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-07T07:28:21] front_door_lock | DoorLock.LockState = 2
[2026-08-07T07:28:23] front_door_contact | BooleanState.StateValue = False
[2026-08-07T07:28:23] front_door_contact | BooleanState.StateValue = True
[2026-08-07T07:28:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-07T07:28:24] front_door_lock | DoorLock.LockState = 1
[2026-08-07T18:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-07T18:08:00] front_door_lock | DoorLock.LockState = 2
[2026-08-07T18:08:02] front_door_contact | BooleanState.StateValue = False
[2026-08-07T18:08:15] entrance_light | OnOff.OnOff = True
[2026-08-07T18:53:07] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T19:13:07] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T19:28:20] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T19:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T19:30:05] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T19:33:07] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T19:48:20] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T19:50:05] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T19:53:07] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T19:58:00] kitchen_dishwasher | OnOff.OnOff = True
[2026-08-07T19:58:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-08-07T20:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-07T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-07T20:04:00] entrance_light | OnOff.OnOff = True

## 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": "未检测到安全风险，日志显示为正常的晚间回家、活动及离家上锁流程。",
  "reasoning": [
    "1. 分析入户门锁与传感器状态：20:02:00 门锁变为锁定状态 (LockState=2)，随后 20:03:00 门磁传感器显示关闭 (False)。这符合住户在室内完成活动后，从内部反锁或确认门锁好的正常行为逻辑（或者如果是外部上锁，通常伴随门磁打开再关闭，但此处结合后续灯光开启，更倾向于室内操作或系统自动同步）。",
    "2. 分析照明与人员存在：20:04:00 玄关灯开启，同时此前多个房间（客厅、卫生间）的运动传感器持续报告有人 (Occupancy=1)，表明住户仍在屋内活动。这与“离家”场景不符，排除了非法入侵者趁夜潜入的可能性（入侵者通常不会在刚上锁后立即开灯并长时间停留而不触发其他警报，且门锁状态变化发生在灯光之前，符合住户自己回家的反向逻辑或睡前检查逻辑）。",
    "3. 综合时间线与设备联动：回顾全天日志，18:08 用户手动上锁出门，之后玄关灯在 18:53 因运动传感器触发而短暂亮起（可能是误触或宠物，但随即熄灭），随后各房间有规律的人员移动轨迹（玄关->客厅->卫生间->厨房洗碗机启动）。20:02 再次上锁并开灯，极有可能是住户在准备休息前进行的例行安全检查（确认门锁好）或夜间起夜/整理玄关。整个序列没有发现暴力破拆、异常时间段闯入、或设备故障导致的矛盾状态。"
  ],
  "key_evidence": [
    "20:02:00 front_door_lock LockState = 2 (锁定)",
    "20:03:00 front_door_contact StateValue = False (门关)",
    "20:04:00 entrance_light OnOff = True (灯开)",
    "20:00:00 - 20:04:00 期间多个房间 occupancy_sensor 持续为 1 (有人)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议检查是否设置了‘离家模式’自动化，以便在检测到所有门窗关闭且无人时自动布防，减少人工操作遗漏。"
  ]
}
```

{
  "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 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: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 31

## 跨天活动摘要
- 2026-08-18: entrance=17, living_room=111, bedroom=69, bathroom=56, kitchen=8

## 设备事件日志
[2026-08-18T07:11:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-18T07:11:18] front_door_lock | DoorLock.LockState = 2
[2026-08-18T07:11:20] front_door_contact | BooleanState.StateValue = False
[2026-08-18T07:11:27] front_door_contact | BooleanState.StateValue = True
[2026-08-18T07:11:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-18T07:11:28] front_door_lock | DoorLock.LockState = 1
[2026-08-18T18:16:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-18T18:16:00] front_door_lock | DoorLock.LockState = 2
[2026-08-18T18:16:02] front_door_contact | BooleanState.StateValue = False
[2026-08-18T18:16:05] entrance_light | OnOff.OnOff = True
[2026-08-18T19:21:14] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T19:38:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T19:41:14] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T19:43:55] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T19:53:00] kitchen_dishwasher | OnOff.OnOff = True
[2026-08-18T19:53:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-08-18T19:54:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-18T19:54:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-08-18T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-18T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-18T20:03:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-18T20:08:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T20:13:55] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T20:23:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:38:40] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T20:43:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:43:55] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T21:59:05] entrance_light | OnOff.OnOff = False
[2026-08-18T21:59:24] front_door_contact | BooleanState.StateValue = True
[2026-08-18T21:59:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)

## 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，日志显示为正常的居家活动模式（离家上锁、晚间回家开灯、夜间休息）。",
  "reasoning": [
    "1. 离家行为分析：07:11 用户手动解锁并出门（门锁状态2->1，门磁False->True），18:16 再次手动上锁（门锁状态2），符合典型的早出晚归生活规律。",
    "2. 晚间回家行为分析：20:03 门磁显示关闭（False），随后20:04 玄关灯开启，表明用户已回家并进入室内，逻辑连贯且无异常闯入迹象。",
    "3. 夜间活动与睡眠准备：21:59 玄关灯熄灭，紧接着21:59:24 门磁变为开启（True），21:59:25 门锁执行开锁操作（Manual）。这通常解释为用户在睡前检查门窗是否关好，或短暂外出/返回后确认门锁状态，属于常见的安全确认行为，而非入侵。",
    "4. 其他设备状态：厨房灶具在19:54关闭，洗碗机启动，无火灾或燃气泄漏风险；各房间运动传感器变化符合单人居住的活动轨迹，无长时间静止（跌倒风险）或异常活跃。"
  ],
  "key_evidence": [
    "07:11 和 18:16 的门锁手动操作与门磁状态变化一致，确认为正常离家。",
    "20:03-20:04 门磁关闭后玄关灯亮起，确认为正常回家。",
    "21:59 关灯后立即进行门锁操作，符合睡前安全检查习惯。"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施。",
    "建议保持现有自动化规则，如离家自动布防、回家自动撤防。"
  ]
}
```

{
  "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 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
[2026-07-13T16:46:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T16:52:54] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T17:06:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-13T17:20:00] balcony_light | OnOff.OnOff = True
[2026-07-13T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-13T17:22:54] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T17:26:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T17:46:28] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```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，结合入户门传感器频繁触发，符合住户回家并在家中进行日常家务（洗衣）的正常行为模式。",
  "reasoning": [
    "1. 分析重点设备状态：在 17:20:00，阳台门传感器显示为 False（通常代表关闭/闭合），同时阳台灯开启；紧接着在 17:21:00，洗衣机开始运行（OperationalState = 1）。这一序列表明有人进入阳台区域，关好门后启动了洗衣机，属于典型的居家生活场景。",
    "2. 分析人员活动轨迹：日志中多次出现 entrance_occupancy（玄关运动传感器）值为 1（16:46, 17:06, 17:26, 17:46），且间隔较短。这强烈暗示住户在下午时段频繁进出入户门或在家中玄关附近活动。考虑到阳台位于室内或半封闭空间，住户完全可能从屋内其他区域前往阳台操作洗衣机。",
    "3. 排除安全威胁：没有检测到门锁异常开启、窗户被强行打开、烟雾报警或漏水等危险信号。阳台门在洗衣机启动前已关闭，符合安全习惯。所有事件均在合理的时间窗口内发生，无长时间无人值守的潜在风险（如未关火、未关水等，因为当前仅涉及洗衣机启动且门已关）。"
  ],
  "key_evidence": [
    "[2026-07-13T17:20:00] balcony_door_contact | BooleanState.StateValue = False (阳台门关闭)",
    "[2026-07-13T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机启动)",
    "[2026-07-13T17:06:28] & [2026-07-13T17:26:28] entrance_occupancy | OccupancySensing.Occupancy = 1 (玄关持续有人活动)"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统记录正常。",
    "建议确认洗衣机程序设置正确，避免长时间无人看管导致溢水风险（虽概率低，但属良好实践）。"
  ]
}
```

{
  "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: 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: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, balcony_light
- 已选事件数: 99

## 跨天活动摘要
- 2026-07-12: balcony=3, living_room=193, bathroom=60, entrance=51, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-07-12T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-12T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-12T16:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-12T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-12T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:33:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-12T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-12T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-12T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-12T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-12T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-12T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-12T16:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-12T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-12T16:49:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-12T16:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-12T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-12T16:53:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-12T16:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-12T16:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-12T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-12T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-12T17:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-12T17:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-12T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-12T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-12T17:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-12T17:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-12T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-12T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-12T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-12T17:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-12T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-12T17:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T17:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-12T17:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-12T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-12T17:19:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-12T17:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-12T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-12T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-12T17:20:00] balcony_light | OnOff.OnOff = True
[2026-07-12T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-12T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-12T17:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-12T17:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-12T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-12T17:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-12T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-12T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:33:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-12T17:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-12T17:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-12T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-12T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-12T17:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-12T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-12T17:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-12T17:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-12T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-12T17:48:00] kitchen_light | OnOff.OnOff = True
[2026-07-12T17:48:30] kitchen_cook_surface | OnOff.OnOff = True
[2026-07-12T17:49:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-07-12T17:49:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-12T17:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-12T17:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-12T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-12T17:53:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-12T17:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-12T17:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-12T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-12T18:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-12T18:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-12T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-12T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-12T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-12T18:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-12T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-12T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-12T18:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-12T18:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-12T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312

## 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。

```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（如洗衣、烹饪）及环境数据波动。",
  "reasoning": [
    "1. 重点设备行为分析：在 17:20，阳台门传感器显示关闭 (False)，随后阳台灯开启 (True) 且洗衣机启动 (OperationalState=1)。这符合典型的‘回家/进入阳台区域 -> 开灯 -> 开始洗衣’的正常生活逻辑序列，无非法入侵迹象。",
    "2. 厨房活动分析：17:48 厨房灯开启，17:49 灶具开启。这是标准的烹饪准备流程。虽然日志中未明确显示烟雾报警器触发或长时间无人看管，但在当前时间窗口内（仅开启约1分钟），属于正常操作初期，不构成 'unattended_cooking' 风险。",
    "3. 温度数据解读：所有温度传感器的读数（如 2375, 2382 等）明显高于常规摄氏度数值。根据 Matter 协议标准，TemperatureMeasurement 通常以厘氏度（centi-degrees Celsius）为单位，即 2375 代表 23.75°C。这些数值处于舒适的室内温度范围（23-24°C），且随时间有微小波动，符合空调运行或自然散热特征，无传感器故障或极端环境风险。",
    "4. 人员活动模式：客厅运动传感器多次触发 (Occupancy=1)，而卧室和玄关在无特定事件时保持空闲 (Occupancy=0)。这表明住户主要在客厅活动，与晚间休闲或准备晚餐的场景一致，未发现异常的人员滞留或失踪迹象。"
  ],
  "key_evidence": [
    "17:20 balcony_door_contact=False, 17:20 balcony_light=True, 17:21 balcony_laundry_washer=1 (正常洗衣流程)",
    "17:48 kitchen_light=True, 17:49 kitchen_cook_surface=True (正常烹饪开始)",
    "Temperature values ~2375 (23.75°C) are within normal comfort range and consistent across sensors."
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控灶具使用时长，若超过预设阈值（如30分钟）且无后续活动，可配置自动化提醒以防遗忘关火。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "unattended_cooking",
  "threat_description": "检测到厨房灶具在无人值守状态下被开启，且随后温度传感器数据丢失，存在严重火灾风险。",
  "reasoning": [
    "推理步骤 1: 在 2026-07-12T17:30:00 时，所有卧室和入口的运动传感器均报告 Occupancy = 0，表明此时家中主要区域无人。",
    "推理步骤 2: 尽管客厅运动传感器在 17:33:00 显示有人，但厨房区域直到 17:48:00 才开启灯光 (kitchen_light)，随后在 17:48:30 开启了灶具 (kitchen_cook_surface)。",
    "推理步骤 3: 关键异常在于 17:49:00 厨房温度传感器返回 None（数据丢失），这通常意味着传感器因高温、烟雾或设备故障而停止工作，结合灶具开启且无明确人员在场记录，极大概率发生了无人看管烹饪导致的过热或起火前兆。",
    "推理步骤 4: 虽然 17:53:00 客厅有人，但无法确认此人是否及时发现了厨房的异常情况并关闭了火源，因此必须按最高风险处理。"
  ],
  "key_evidence": [
    "2026-07-12T17:48:30 kitchen_cook_surface | OnOff.OnOff = True (灶具开启)",
    "2026-07-12T17:49:00 kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None (关键安全传感器失效/数据丢失)",
    "2026-07-12T17:30:00 ... occupancy sensors report 0 for bedrooms and entrance (此前主要区域无人)"
  ],
  "recommended_actions": [
    "立即远程通知住户前往厨房检查并关闭灶具。",
    "触发家庭烟雾报警器测试或联动本地警报系统。",
    "检查厨房温度传感器硬件状态，排除物理损坏导致的数据丢失。",
    "建议启用“无人自动关火”策略，当检测到灶具开启超过设定时间（如 15 分钟）且无人员进入厨房时自动切断电源。"
  ]
}
```


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: 35

## 设备事件日志
[2026-08-15T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-08-15T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-15T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-15T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-08-15T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-15T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-15T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T09:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-08-15T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-15T09:47:14] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-08-15T09:50:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T09:54:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-15T09:54:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-08-15T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-15T09:57:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T09:57:10] living_room_light_1 | OnOff.OnOff = True
[2026-08-15T09:57:15] living_room_ac | OnOff.OnOff = True
[2026-08-15T09:57:15] living_room_ac | Thermostat.SystemMode = 3
[2026-08-15T09:57:18] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-08-15T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-15T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-15T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-15T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-15T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-15T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-15T10:10:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-15T10:17:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T10:17:14] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-08-15T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-08-15T10:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的早晨起床及居家活动模式。",
  "reasoning": [
    "1. 时间与环境分析：事件发生在上午08:55至10:30之间，属于典型的早晨时段。客厅温度传感器读数在25.36°C至25.59°C之间波动（Matter协议中通常单位为0.01摄氏度，即约25.4-25.6°C），处于舒适区间，无极端高温或低温异常。",
    "2. 人员活动轨迹正常：09:30卧室有人（Occupancy=1），随后09:57客厅有人（Occupancy=1）并开启灯光和空调，符合住户从卧室起床进入客厅活动的行为逻辑。卫生间传感器短暂出现0后再次活跃，符合洗漱习惯。",
    "3. 设备操作合理：09:57住户进入客厅后，依次开启了灯、空调，并打开了窗帘（CurrentPositionLiftPercent100ths = 0 表示完全打开/收起状态，配合窗户接触传感器关闭状态，表明窗户是关闭的但窗帘已拉开以采光）。这些动作连贯且符合日常居住习惯。",
    "4. 门窗状态安全：虽然客厅和卧室窗户接触传感器显示为False（通常代表关闭/闭合），但在09:57窗帘打开时，窗户并未被打开（若窗户打开，接触传感器通常会变为True或触发特定状态，且此处无开窗指令）。所有门窗保持关闭状态，无入侵迹象。"
  ],
  "key_evidence": [
    "09:57 living_room_occupancy 变为 1，紧接着 living_room_light_1 和 living_room_ac 开启，living_room_window 窗帘打开，符合起床后开灯开空调拉窗帘的正常行为序列。",
    "09:30 bedroom_occupancy 为 1，表明住户仍在卧室，随后转移至客厅，无长时间无人却设备异常激活的情况。",
    "living_room_window_contact 和 bedroom_window_contact 均为 False（关闭），且无非法开启记录，排除入侵风险。"
  ],
  "recommended_actions": [
    "无需采取任何安全措施。",
    "建议继续保持当前的自动化规则，如‘人走灯灭’或‘温度联动空调’，以优化能源使用。"
  ]
}
```

{
  "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。"
  ]
}


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
[2026-07-24T16:45:21] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T16:58:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T17:05:21] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-24T17:20:00] balcony_light | OnOff.OnOff = True
[2026-07-24T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-24T17:25:21] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T17:28:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T17:45:21] 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": "检测到阳台门关闭、灯光开启及洗衣机启动，结合入户门区域的人员活动，符合正常的居家洗衣行为模式，未发现安全威胁。",
  "reasoning": [
    "1. 分析核心事件链：在 17:20:00，阳台门传感器显示状态为 False（通常表示门已关闭/闭合），紧接着阳台灯开启 (OnOff=True)，随后洗衣机进入工作状态 (OperationalState=1)。这一序列逻辑连贯，表明有人进入或经过阳台区域，关闭了门并启动了洗衣机。",
    "2. 验证人员存在性：日志中多次出现 entrance_occupancy (玄关运动传感器) 的状态为 1 (Occupancy=1)，特别是在 16:45, 17:05, 17:25, 17:45。这证实了住户在傍晚时段活跃于家中，且位置靠近入口和公共区域，支持了有人在家操作家电的假设。",
    "3. 排除异常风险：没有检测到入侵迹象（如门锁被非法打开、窗户在非正常时间剧烈震动等）；没有火灾或漏水警报；设备状态变化符合日常家务习惯（傍晚回家/休息时洗衣服）。因此，判定为正常行为。"
  ],
  "key_evidence": [
    "balcony_door_contact | BooleanState.StateValue = False (17:20:00)",
    "balcony_light | OnOff.OnOff = True (17:20:00)",
    "balcony_laundry_washer | OperationalState.OperationalState = 1 (17:21:00)",
    "entrance_occupancy | OccupancySensing.Occupancy = 1 (多次记录，证明人员在位)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施。",
    "建议用户确认洗衣机运行正常，无异常噪音或漏水即可。"
  ]
}
```

{
  "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 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: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 29

## 设备事件日志
[2026-07-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T07:45:20] front_door_lock | DoorLock.LockState = 2
[2026-07-29T07:45:29] front_door_contact | BooleanState.StateValue = True
[2026-07-29T07:45:30] front_door_lock | DoorLock.LockState = 1
[2026-07-29T12:55:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T13:20:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T13:34:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T13:35:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T13:47:50] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T13:49:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T13:50:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-07-29T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-07-29T14:06:00] entrance_light | OnOff.OnOff = True
[2026-07-29T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T14:09:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T14:10:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T14:19:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T14:20:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T14:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T14:39:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T14:40:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T14:45:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T15:10:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T16:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

## 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": "未检测到安全风险，日志显示为正常的家庭日常活动模式。",
  "reasoning": [
    "1. 门锁状态分析：07:45 记录到门锁解锁(2) -> 门开(True) -> 门锁上锁(1)，这符合住户早晨离家或归家后确认落锁的正常行为逻辑。14:05 再次出现解锁->开门->关门（接触传感器False）序列，且随后玄关灯亮起，表明有人进出并触发了照明，符合正常回家或外出场景。",
    "2. 人员活动轨迹合理性：13:30-14:40 期间，客厅、次卧 occupancy 为 0，而儿童房、主卧、餐厅、玄关有人员活动。这种分布符合家庭成员在下午时段分散在不同房间休息或活动的常态，没有发现长时间无人却频繁触发运动传感器的异常（如传感器故障），也没有发现所有区域同时无人的异常静默。",
    "3. 设备联动与时间逻辑：14:06 玄关灯亮起紧随 14:05 的门开事件，体现了合理的自动化联动或人工操作习惯。16:27 的手动锁定操作也是常见的安全加固行为。整体时间线连贯，无突兀的夜间入侵迹象或设备故障特征。"
  ],
  "key_evidence": [
    "07:45:29 front_door_contact = True (门开) 伴随 07:45:30 DoorLock.LockState = 1 (上锁)，符合离家/归家后的常规操作。",
    "14:05:00 front_door_lock 解锁及 14:05:00 front_door_contact False (门关) 后，14:06:00 entrance_light 开启，符合有人进出的正常逻辑。",
    "全天 Occupancy 传感器数据呈现分散的家庭成员活动模式，无长时间异常静止或全屋无人时的异常触发。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续保持当前的监控策略，关注夜间非正常时段的门锁状态变化。"
  ]
}
```

{
  "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: 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
[2026-07-11T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T17:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T17:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T17:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-11T17:20:00] balcony_light | OnOff.OnOff = True
[2026-07-11T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-11T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T17:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T17:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T17:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T17:30:00] 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": "检测到阳台门关闭、灯光开启及洗衣机启动，结合全屋无人员活动状态，判断为正常的家务操作或自动化场景触发，未发现安全风险。",
  "reasoning": [
    "1. 分析重点设备行为：在17:20，阳台门传感器显示关闭（False），随后阳台灯开启（True）。这符合用户进入阳台或离开后关门开灯的常规逻辑，或者是智能场景（如开门亮灯）的触发。",
    "2. 分析关键动作：紧接着在17:21，阳台洗衣机启动（OperationalState = 1）。这表明有人正在使用阳台区域的家电进行洗衣操作。",
    "3. 结合环境上下文：日志中多次出现所有房间（客厅、餐厅、主卧等）的运动传感器均为0（无人）。虽然这与“有人操作洗衣机”看似矛盾，但在智能家居场景中，运动传感器可能存在盲区（例如阳台未被覆盖或传感器灵敏度问题），或者用户处于静止状态（如弯腰放置衣物）。此外，17:00和17:30的全屋无活动快照可能捕捉的是用户尚未到达或已短暂离开其他区域的状态。",
    "4. 排除威胁：没有非法入侵迹象（门锁未异常开启，且阳台门是关闭的），没有火灾、漏水或一氧化碳风险，也没有长时间无活动的健康隐患。因此，这是一组正常的家庭活动日志。"
  ],
  "key_evidence": [
    "balcony_door_contact: False (门已关闭)",
    "balcony_light: True (灯已开启)",
    "balcony_laundry_washer: OperationalState=1 (洗衣机正在运行)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议检查阳台是否覆盖了运动传感器，若经常误报无人，可考虑增加传感器或调整灵敏度以减少未来可能的误判。"
  ]
}
```

{
  "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。"
  ]
}