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: SQ3
- 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: 74

## 跨天活动摘要
- 2026-07-09: living_room=210, bedroom=243, kitchen=238, entrance=230, bathroom=63

## 设备事件日志
[2026-07-09T08:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-09T08:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-09T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T08:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-07-09T08:38:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T08:38:18] living_room_light | OnOff.OnOff = True
[2026-07-09T08:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-09T08:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-09T08:58:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-09T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-09T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-09T09:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-07-09T09:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-09T09:16:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T09:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T09:18:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T09:18:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-09T09:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-07-09T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-09T09:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-07-09T09:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-09T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-07-09T09:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-07-09T09:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-09T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-07-09T09:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2440
[2026-07-09T09:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-07-09T09:36:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T09:38:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T09:38:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T09:38:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T09:38:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-07-09T09:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-09T09:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2452
[2026-07-09T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-09T09:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-07-09T09:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-09T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-09T09:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-07-09T09:56:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T09:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T09:58:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T09:58:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-09T10:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2446
[2026-07-09T10:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-07-09T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-09T10:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-07-09T10:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-09T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-09T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-09T10:07:00] living_room_light | OnOff.OnOff = True
[2026-07-09T10:08:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-09T10:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-07-09T10:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-07-09T10:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-07-09T10:16:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T10:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T10:18:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T10:18:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-09T10:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-09T10:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-09T10:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-07-09T10:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-09T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-07-09T10:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-09T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-09T10:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2440
[2026-07-09T10:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常情况，日志显示为独居老人在上午时段的正常居家活动。",
  "reasoning": [
    "1. 温度数据解读：日志中的 `TemperatureMeasurement.MeasuredValue` 数值（如 2543, 2541）符合 Matter 协议标准，单位为 0.01°C。例如 2543 代表 25.43°C，处于舒适的室内环境温度范围内，无传感器故障或极端环境风险。",
    "2. 人员活动模式分析：从 08:38 开始，客厅、厨房、玄关等公共区域出现连续的运动传感器触发（Occupancy=1），且伴随灯光开启（OnOff=True）。这符合老人起床后在客厅和厨房进行日常活动（如看电视、准备早餐/饮水）的行为特征。",
    "3. 门窗状态逻辑自洽：10:05 和 10:06 分别记录了客厅和卧室窗户传感器状态为 False（通常表示关闭/闭合）。结合此时段室内人员活跃且无入侵迹象，门窗关闭属于正常的居家安防状态，未发现非法入侵导致的门窗异常开启。",
    "4. 跨房间联动合理性：卫生间运动传感器在 09:36 和 10:08 显示为 0（无人），而在其他时间段有活动记录，符合如厕或洗漱的短暂停留习惯。整体动线（玄关->客厅->厨房->卧室）连贯，无长时间静止不动（可能跌倒）或异常徘徊的迹象。"
  ],
  "key_evidence": [
    "温度读数稳定在 24-25°C (24xx-25xx) 舒适区间，排除环境异常。",
    "08:38-10:35 期间，客厅、厨房、玄关等多区域运动传感器持续触发，表明住户处于清醒和活动状态。",
    "10:05/10:06 窗户传感器显示关闭状态，与正常居家行为一致，无入侵痕迹。",
    "无烟雾报警、漏水报警或门锁异常操作记录。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控后续时段的活动规律，以建立更精准的用户行为基线。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "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: 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: SQ3
- 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: 76

## 跨天活动摘要
- 2026-07-13: living_room=211, bedroom=243, kitchen=239, entrance=231, bathroom=63

## 设备事件日志
[2026-07-13T08:23:18] living_room_light | OnOff.OnOff = True
[2026-07-13T08:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-13T08:28:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T08:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2531
[2026-07-13T08:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2533
[2026-07-13T08:48:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T08:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-13T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-13T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-13T09:08:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-13T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-13T09:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-07-13T09:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-07-13T09:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:19:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:19:07] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-13T09:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2446
[2026-07-13T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-07-13T09:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442
[2026-07-13T09:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-13T09:28:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:29:57] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-13T09:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-07-13T09:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-13T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-13T09:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-07-13T09:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-13T09:38:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:39:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:39:07] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-07-13T09:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-07-13T09:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-13T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-13T09:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-07-13T09:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-13T09:48:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-07-13T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-13T09:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-07-13T09:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:59:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:59:07] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:59:57] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-07-13T10:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-07-13T10:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-13T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-13T10:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-07-13T10:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-13T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-13T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-13T10:07:00] living_room_light | OnOff.OnOff = True
[2026-07-13T10:08:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-13T10:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-07-13T10:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-13T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-13T10:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-07-13T10:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-13T10:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T10:19:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T10:19:07] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-13T10:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-07-13T10:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-07-13T10:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-07-13T10:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-13T10:28:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T10:29:57] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-13T10:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-07-13T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556

## 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：日志显示从08:23开始，客厅灯光开启，随后客厅、卧室、厨房、玄关等多个区域的运动传感器（Occupancy Sensor）在09:18至10:35期间频繁触发。这种多房间、高频次的移动符合独居老人在早晨起床后洗漱、准备早餐或进行日常家务的正常行为轨迹。",
    "2. 门窗状态分析：重点关注的卧室窗户和客厅窗户传感器在10:05-10:06均报告关闭状态（False）。结合运动传感器的活跃情况，这表明住户在室内活动且门窗保持关闭，没有发现非法入侵导致的门窗异常开启迹象。",
    "3. 环境数据合理性：温度传感器读数在24°C-25.5°C之间波动（Matter协议中通常单位为0.01摄氏度，即24.44°C-25.59°C），属于舒适的室内环境温度，无火灾或极端天气导致的异常高温/低温报警。烟雾报警器和水浸传感器在此期间无任何触发记录。",
    "4. 排除误报可能：虽然运动传感器触发频率较高，但考虑到老人可能行动缓慢或在房间内长时间停留（如坐在沙发上），传感器周期性上报“存在”状态是正常现象。没有发现长时间静止不动（跌倒风险）或完全无活动的异常情况。"
  ],
  "key_evidence": [
    "08:23 - 10:35 期间，living_room_occupancy, bedroom_occupancy, kitchen_occupancy, entrance_occupancy 多次触发 Occupancy = 1，显示住户在多个房间活动。",
    "10:05:00 living_room_window_contact | BooleanState.StateValue = False",
    "10:06:00 bedroom_window_contact | BooleanState.StateValue = False",
    "所有 smoke_co_alarm 和 water_leak_detector 在此时间段内无报警事件。",
    "温度读数稳定在舒适区间 (约24.4°C - 25.6°C)。"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施。",
    "建议继续监控该时间段的日常活动规律，以便在未来建立更精准的行为基线，用于检测潜在的跌倒或健康异常。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "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: 三室两厅 (3BR)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher], 厨房漏水传感器[water_leak_detector]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅副灯[dimmable_light], 客厅氛围灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘1[window_covering], 客厅窗户传感器1[contact_sensor], ... 共10个设备
- 房间 master_bathroom: 主卫灯[onoff_light], 主卫运动传感器[occupancy_sensor], 主卫漏水传感器[water_leak_detector]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧床头灯[onoff_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bathroom: 次卫灯[onoff_light], 次卫漏水传感器[water_leak_detector]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧空调[air_conditioner], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor]

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

## 设备事件日志
[2026-07-03T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T07:23:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-03T07:23:26] front_door_lock | DoorLock.LockState = 2
[2026-07-03T07:23:28] front_door_contact | BooleanState.StateValue = False
[2026-07-03T07:23:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T07:23:31] front_door_contact | BooleanState.StateValue = True
[2026-07-03T07:23:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-03T07:23:32] front_door_lock | DoorLock.LockState = 1
[2026-07-03T07:27:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T07:28:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T07:29:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T07:43:29] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T07:44:56] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T07:47:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T07:48:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T07:49:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-03T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-03T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-03T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-03T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-03T08:03:29] 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": "检测到正常的早晨离家/外出行为模式，门锁状态变化符合用户出门上锁的逻辑。",
  "reasoning": [
    "分析入户门事件序列：07:23:26 门锁执行手动解锁（LockState=2），随后门磁显示关闭（False）且有人体感应（True），表明有人进入或检查；紧接着在 07:23:32 门锁执行手动上锁（LockState=1）。这一系列动作发生在极短时间内（约6秒），符合用户回家开门后随即反锁，或者用户在门口短暂停留并确认安全上锁的行为特征。",
    "分析后续时间窗：08:02:00 门锁再次变为未锁定状态（LockState=2），门磁关闭（False），这通常意味着有人离开房屋。随后在 08:03:00 门锁恢复锁定状态（LockState=1），且玄关人体感应在 08:03:29 触发（可能是传感器延迟或人员仍在门口区域）。这种‘开锁-离开-重新上锁’的模式是典型的早晨离家上班或外出的行为。",
    "结合其他房间传感器：07:27-07:49 期间，儿童房、主卧、餐厅等区域均有 occupancy 活动记录，说明家庭成员正在家中进行晨间活动（如起床、洗漱、用餐），与早晨时间点吻合。没有发现非法入侵迹象（如深夜异常开锁）、设备故障（如反复无意义的开关）或安全隐患。"
  ],
  "key_evidence": [
    "07:23:26 至 07:23:32 之间发生了一次完整的‘解锁-上锁’循环，间隔仅6秒，属正常操作。",
    "08:02:00 至 08:03:00 之间发生第二次‘解锁-上锁’循环，符合离家上锁逻辑。",
    "早晨时段（07:00-08:00）多个房间（儿童房、主卧、餐厅）存在活跃的人体感应，佐证了家庭正常作息。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议保持当前自动化规则，确保离家时自动上锁功能正常工作即可。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 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 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 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: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 131

## 跨天活动摘要
- 2026-07-15: living_room=114, master_bedroom=228, entrance=228, second_bedroom=48, bathroom=48, kitchen=11
- 2026-07-16: living_room=114, master_bedroom=228, entrance=228, second_bedroom=48, bathroom=48, kitchen=11
- 2026-07-17: living_room=115, entrance=229, master_bedroom=227, second_bedroom=48, bathroom=48, kitchen=12

## 设备事件日志
[2026-07-15T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T05:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2447
[2026-07-15T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-07-15T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-07-15T05:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-07-15T05:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-07-15T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2467
[2026-07-15T05:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-07-15T06:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-07-15T06:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T06:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T06:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-07-15T06:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-07-15T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-07-15T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-07-15T06:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-07-15T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-07-15T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-07-15T06:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-07-15T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T06:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-07-15T06:35:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T06:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T06:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-07-15T06:41:06] kitchen_light | OnOff.OnOff = True
[2026-07-15T06:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-07-15T06:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2497
[2026-07-15T06:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-07-15T06:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-07-15T07:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-07-15T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-07-15T07:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-07-15T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-07-15T07:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-07-15T07:10:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-15T07:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2510
[2026-07-15T07:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2519
[2026-07-15T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-07-15T07:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2515
[2026-07-15T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-07-15T08:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-07-15T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-07-15T19:20:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-07-16T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-07-16T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-07-16T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-07-16T06:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-07-16T06:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T06:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T06:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-07-16T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-07-16T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-07-16T06:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-07-16T06:23:10] master_bedroom_light | OnOff.OnOff = True
[2026-07-16T06:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-07-16T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-07-16T06:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-07-16T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T06:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-07-16T06:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-07-16T06:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-07-16T06:43:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T06:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-07-16T06:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T06:49:05] kitchen_light | OnOff.OnOff = True
[2026-07-16T06:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-07-16T06:50:05] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-07-16T06:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2497
[2026-07-16T07:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2509
[2026-07-16T07:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T07:03:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T07:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-07-16T07:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-07-16T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-07-16T07:13:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-07-16T07:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-07-16T07:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524
[2026-07-16T07:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2523
[2026-07-16T07:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2523
[2026-07-16T07:29:09] master_bedroom_light | OnOff.OnOff = False
[2026-07-16T07:29:16] front_door_contact | BooleanState.StateValue = False
[2026-07-16T07:29:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-16T07:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2525
[2026-07-16T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T07:33:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T07:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-07-16T07:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-07-16T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T08:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2531
[2026-07-16T18:24:00] kitchen_light | OnOff.OnOff = True
[2026-07-17T05:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2434
[2026-07-17T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-07-17T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-07-17T05:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-07-17T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2465
[2026-07-17T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-07-17T06:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-07-17T06:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-07-17T06:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-07-17T06:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-07-17T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-07-17T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-07-17T06:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-07-17T06:28:04] master_bedroom_light | OnOff.OnOff = True
[2026-07-17T06:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-07-17T06:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T06:33:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T06:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-07-17T06:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-07-17T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-07-17T06:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T06:42:00] kitchen_light | OnOff.OnOff = True
[2026-07-17T06:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-07-17T06:52:34] kitchen_cook_surface | OnOff.OnOff = True
[2026-07-17T06:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-07-17T06:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2497
[2026-07-17T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-07-17T07:08:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T07:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-07-17T07:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-07-17T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-07-17T07:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511

## 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，所有设备活动符合正常的家庭作息规律。",
  "reasoning": [
    "1. **作息规律性分析**：连续三天（7月15-17日）的日志显示高度一致的作息模式。早晨06:30-06:45左右，主卧和客厅 occupancy 传感器激活，伴随灯光开启（厨房灯、主卧灯），随后温度传感器读数随日照/空调运行缓慢上升，符合典型的“起床-准备早餐”行为。",
    "2. **烹饪行为正常**：7月17日06:52灶具开启，此时厨房灯已开（06:42），且有人体存在（虽然日志中kitchen_occupancy未直接显示，但结合时间窗和后续无报警，视为正常烹饪）。没有发现长时间无人看管的烹饪迹象（如深夜开启或持续数小时无关闭记录）。",
    "3. **离家/归家逻辑一致**：7月16日07:29门锁手动锁定（LockOperation=0通常指锁闭），且此前主卧 occupany 曾短暂为0后变1（可能是最后确认），整体流程符合住户出门上班的逻辑。其他两天虽无明确门锁事件，但早晨活动模式一致，暗示类似行程。",
    "4. **传感器数据合理性**：温度读数在合理范围内（约24-25°C），变化趋势平缓，无突变或停滞导致的故障特征。Occupancy 传感器在夜间保持为0，白天活动时段有波动，符合存在检测逻辑。",
    "5. **无入侵迹象**：入户门传感器仅在7月16日早晨显示关闭状态（配合上锁），未见非正常时间的开启或非法解锁尝试。"
  ],
  "key_evidence": [
    "连续三天早晨06:30-07:00期间，master_bedroom_occupancy 和 living_room_occupancy 同步激活，伴随灯光控制，呈现稳定的晨间活动模式。",
    "7月16日07:29出现 front_door_lock 手动锁定事件，与早晨离家时间吻合，无异常闯入记录。",
    "7月17日06:52 kitchen_cook_surface 开启，处于正常的早餐准备时间段，且前后有灯光和环境监测支持，无火灾或燃气泄漏报警。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续保持当前的自动化规则，可考虑优化夜间休眠时的传感器灵敏度以减少误报。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "检测到厨房窗户在有人活动且温度持续上升期间被打开，随后出现传感器数据丢失和异常波动，存在极高的火灾或燃气泄漏风险。",
  "reasoning": [
    "推理步骤 1: 在 2026-07-16T07:13:30 记录到厨房窗户接触传感器状态变为 False（打开），此时厨房温度传感器读数约为 25°C (2496K)，且 shortly after 有人员进入主卧并开启灯光，表明住户正在家中活动。",
    "推理步骤 2: 紧随其后，在 2026-07-16T06:50:05 至 07:13:30 之间，厨房温度传感器多次报告 None 值，随后数值剧烈波动（从 2507K 跳变至 2523K），这种数据缺失和突变通常意味着传感器故障、通信中断或环境发生了剧烈变化导致测量失效。",
    "推理步骤 3: 结合时间线，住户在早晨起床后不久打开了厨房窗户，紧接着传感器数据异常。如果这是为了通风，温度不应如此剧烈波动；如果是设备故障导致无法监测高温，而住户又处于家中（occupancy=1），则构成了严重的安全盲区，极易引发火灾未被及时发现的风险。此外，日志中未显示烟雾报警器触发，说明该异常可能发生在报警阈值之前或传感器本身已失效。",
    "推理步骤 4: 对比其他两天，虽然也有温度上升和开窗行为，但 7 月 16 日的传感器数据丢失（None）和随后的数值跳变是独特的异常模式，区别于正常的温度渐变。"
  ],
  "key_evidence": [
    "2026-07-16T07:13:30 kitchen_window_contact 状态变为 False (Open)",
    "2026-07-16T06:50:05 至 07:13:30 期间 kitchen_temp_sensor 多次报告 MeasuredValue = None",
    "2026-07-16T07:10:00 厨房温度突然从 2507K 跳升至 2523K，伴随窗户打开事件",
    "同一时间段内 master_bedroom_occupancy 为 1，表明住户在场但未触发烟雾警报"
  ],
  "recommended_actions": [
    "立即检查厨房烟雾报警器和一氧化碳报警器是否正常工作，必要时手动测试。",
    "检查厨房温度传感器及连接线路，排除硬件故障或信号干扰。",
    "建议住户在烹饪时保持窗户关闭或使用排油烟机，避免直接对流影响传感器读数。",
    "联系智能家居技术支持排查 Matter 协议下的传感器通信稳定性问题。"
  ]
}
```


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: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 21

## 跨天活动摘要
- 2026-08-02: entrance=54, living_room=196, bathroom=55, master_bedroom=48, second_bedroom=48, kitchen=14

## 设备事件日志
[2026-08-02T19:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T19:17:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T19:19:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T19:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T19:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T19:39:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T19:47:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T19:59:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T20:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T20:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-02T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-02T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-02T20:17:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T20:19:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T20:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T20:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T20:39:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示住户在晚间正常回家并开启玄关灯，设备状态变化符合常规生活行为模式，未检测到安全威胁。",
  "reasoning": [
    "1. 时间线与行为逻辑分析：20:02 门锁解锁 (LockState=2)，紧接着 20:03 门磁传感器显示门关闭 (StateValue=False)，随后 20:04 玄关灯亮起 (OnOff=True)。这一序列（开锁->关门->开灯）是典型的住户夜间归家后的标准操作顺序。",
    "2. 环境背景验证：同一时间段内，客厅运动传感器持续报告有人活动 (Occupancy=1)，而卧室和卫生间无人活动 (Occupancy=0)。这表明住户已进入公共区域（客厅/玄关），且未在休息区活动，符合下班回家后在客厅活动的常态。",
    "3. 排除异常特征：没有检测到暴力破拆、多次错误尝试或长时间未关门的迹象。门锁状态与门磁状态一致，无冲突。所有事件均在合理的时间间隔内发生，无传感器故障或执行器卡滞的迹象。"
  ],
  "key_evidence": [
    "[2026-08-02T20:02:00] front_door_lock | DoorLock.LockState = 2 (门锁已解锁)",
    "[2026-08-02T20:03:00] front_door_contact | BooleanState.StateValue = False (门已关闭)",
    "[2026-08-02T20:04:00] entrance_light | OnOff.OnOff = True (玄关灯开启)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施。",
    "建议保持现有自动化场景配置，以确保后续归家体验流畅。"
  ]
}
```

{
  "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: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, balcony_light
- 已选事件数: 94

## 跨天活动摘要
- 2026-08-09: balcony=3, living_room=48, master_bedroom=48, second_bedroom=48, bathroom=48, entrance=48

## 设备事件日志
[2026-08-09T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-09T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-09T16:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-08-09T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-09T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-09T16:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-09T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-09T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-09T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-09T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-09T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-08-09T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-09T16:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-09T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-09T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-09T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-09T16:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-09T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-09T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-09T16:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-09T16:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-09T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-09T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-09T17:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-09T17:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-09T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-09T17:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-09T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-09T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-09T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-09T17:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-09T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-09T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-09T17:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-09T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-09T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-09T17:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-09T17:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-09T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-09T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-09T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-09T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-09T17:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-09T17:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-09T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-09T17:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-09T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-09T17:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-09T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-09T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-09T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-09T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-09T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-09T17:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-09T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-09T17:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-09T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-09T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-09T17:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-09T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-09T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-09T17:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-09T17:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-09T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-09T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-09T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-09T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-09T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-09T18:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-09T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-09T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-09T18:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-09T18:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-09T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常模式，日志显示为正常的家庭环境监控数据及一次常规的阳台洗衣活动。",
  "reasoning": [
    "1.  occupancy传感器持续报告为0：从16:30到18:10，所有房间（客厅、主卧、次卧、卫生间、玄关）的运动传感器均保持Occupancy=0状态。这表明在观察的时间窗口内，家中无人活动，或者住户处于静止状态且未触发传感器。结合温度数据的缓慢变化，这符合“家中无人”或“长时间静止”的特征，而非突发的入侵或跌倒（通常伴随剧烈运动或特定姿态）。",
    "2.  温度数据正常波动：各房间温度传感器读数在2314-2389 (单位通常为0.01摄氏度，即约23.1°C-23.9°C) 之间小幅波动，呈现随时间缓慢下降后稳定的趋势，符合夏季傍晚室内自然降温或空调维持温度的物理规律，无骤升（火灾风险）或骤降（设备故障/极端天气）迹象。",
    "3.  阳台活动逻辑自洽：17:20左右，阳台门传感器状态变为False（通常表示关闭或锁定，取决于具体实现，但结合后续动作看），阳台灯开启(OnOff=True)，紧接着洗衣机启动(OperationalState=1)。这一序列（开灯->启动洗衣机）是典型的用户操作行为，表明有人（或自动化场景）在阳台进行洗衣活动。虽然此时其他区域occupancy为0，但这可能是因为用户仅在阳台局部活动，或者该片段仅为部分日志切片，不足以构成全屋无人的矛盾（例如用户可能刚进入阳台或正在阳台停留）。",
    "4.  无其他危险信号：未检测到烟雾报警、漏水、门锁异常开启、灶具未关等高风险事件。"
  ],
  "key_evidence": [
    "所有房间 OccupancySensing.Occupancy 持续为 0 (16:30 - 18:10)",
    "阳台灯 OnOff=True 与 洗衣机 OperationalState=1 在短时间间隔内连续发生 (17:20 - 17:21)",
    "各房间温度数值在合理范围内缓慢波动 (23.1°C - 23.9°C)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "若希望减少误报或优化体验，可检查阳台运动传感器是否过于灵敏导致频繁上报，或确认阳台门传感器状态定义（True/False对应开/关）是否与业务逻辑一致。"
  ]
}
```

{
  "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: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 41

## 跨天活动摘要
- 2026-08-18: entrance=230, master_bedroom=227, kids_room=226, dining_room=218, living_room=110, master_bathroom=51

## 设备事件日志
[2026-08-18T07:43:31] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-18T07:43:33] front_door_contact | BooleanState.StateValue = False
[2026-08-18T07:43:39] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-18T16:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-18T16:20:02] front_door_contact | BooleanState.StateValue = False
[2026-08-18T18:18:00] front_door_lock | DoorLock.LockState = 2
[2026-08-18T18:33:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T18:53:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T19:13:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T19:18:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T19:20:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T19:25:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T19:26:00] kitchen_dishwasher | OnOff.OnOff = True
[2026-08-18T19:26:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-08-18T19:28:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-18T19:28:14] dining_room_light | OnOff.OnOff = True
[2026-08-18T19:28:33] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T19:31:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T19:38:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T19:43:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T19:45:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T19:48:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T19:51:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T19:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-18T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-18T20:03:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-18T20:05:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:08:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:11:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:23:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:25:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:28:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T20:31:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:38:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T20:43:05] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示为正常的晚间家庭活动模式，包括回家、开启电器及室内人员移动，未发现安全威胁或设备异常。",
  "reasoning": [
    "1. 门锁与门禁状态分析：16:20 用户手动上锁（LockOperationType=1），随后在 18:18 和 20:02 记录到 DoorLock.LockState = 2（通常表示已锁定/已上锁）。虽然中间没有明确的‘开锁’事件日志，但结合 18:33 玄关 occupancy 传感器检测到有人（Occupancy=1），且后续多个房间（客厅、儿童房等）陆续出现人员活动，可以推断用户在 18:18-18:33 之间正常回家并进入室内。门锁状态保持锁定符合离家或夜间安防逻辑。",
    "2. 室内活动轨迹合理性：从 18:33 开始，玄关运动传感器触发，随后在 19:18-19:25 期间，客厅、儿童房、餐厅的运动传感器依次被触发，这符合家庭成员回家后分散到各个房间进行日常活动（如休息、准备晚餐）的行为模式。",
    "3. 家电使用行为正常：19:26 洗碗机启动（OnOff=True, OperationalState=1），19:28 灶具关闭（OnOff=False）。这表明厨房区域有正常的烹饪后清理活动，且灶具在使用后被正确关闭，不存在未关火风险。",
    "4. 无异常入侵迹象：所有活动均发生在傍晚至夜间时段，且伴随室内多区域的人员存在信号，符合住户在家的特征，而非非法入侵者快速通过或仅在门口徘徊的模式。"
  ],
  "key_evidence": [
    "18:33 entrance_occupancy 检测到人员进入，紧随其后是 16:20 的上锁操作，构成完整的回家闭环。",
    "19:26 kitchen_dishwasher 启动，表明正常的家务活动正在进行。",
    "19:18-20:43 期间，living_room, kids_room, dining_room, master_bedroom 等多个房间的运动传感器交替或同时激活，显示多名家庭成员在室内正常活动。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控夜间（22:00后）的门窗状态及睡眠区域的异常活动，以维持全天候安全。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: 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
[2026-08-01T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-01T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-08-01T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-08-01T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-08-01T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-01T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-08-01T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T09:34:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-01T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-08-01T09:45:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-08-01T09:45:03] living_room_light_1 | OnOff.OnOff = True
[2026-08-01T09:45:06] living_room_ac | OnOff.OnOff = True
[2026-08-01T09:45:06] living_room_ac | Thermostat.SystemMode = 3
[2026-08-01T09:45:14] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-08-01T09:48:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-01T09:48:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-08-01T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-08-01T09:54:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T09:58:39] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-08-01T10:05:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-01T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-01T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-01T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-08-01T10:14:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-01T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-01T10:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-08-01T10:25:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T10:28:39] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544

## 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，日志显示为正常的早晨起床及居家活动模式。",
  "reasoning": [
    "1. 时间线与行为逻辑一致：事件发生在上午09:45左右，符合一般居民起床后的活动时间。卧室运动传感器在09:34激活，随后客厅在09:45被占用并开启灯光和空调，表明住户从卧室移动到客厅开始日常活动。",
    "2. 设备状态符合正常操作：客厅窗户传感器在10:05报告关闭（False），结合窗帘位置数据（09:45时 liftPercent=0 通常表示完全打开或完全关闭，需结合具体协议定义，但此处更可能是用户手动或自动调节后状态稳定），且室内温度维持在舒适范围（约25-26°C），空调开启制冷/制热以维持舒适度，无异常能耗或故障迹象。",
    "3. 无入侵或危险迹象：入户门锁、其他门窗传感器在所选时间段内无异常触发记录；厨房灶具在09:48关闭，烟雾报警器未报警，排除火灾风险；所有传感器读数（如温度）变化平缓，无突变或卡死现象。"
  ],
  "key_evidence": [
    "bedroom_occupancy 在 09:34 激活，living_room_occupancy 在 09:45 激活，符合人员移动路径。",
    "living_room_light_1 和 living_room_ac 在 09:45 同时开启，符合起床后开灯降温/升温的习惯。",
    "living_room_window_contact 在 10:05 保持 False (Closed)，无非法开启记录。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控该时间段的常规活动模式，以建立更精准的用户行为基线。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "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: 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: 32

## 跨天活动摘要
- 2026-07-31: entrance=17, living_room=112, bedroom=66, bathroom=56, kitchen=8

## 设备事件日志
[2026-07-31T07:12:14] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-31T07:12:14] front_door_lock | DoorLock.LockState = 2
[2026-07-31T07:12:16] front_door_contact | BooleanState.StateValue = False
[2026-07-31T07:12:18] front_door_contact | BooleanState.StateValue = True
[2026-07-31T07:12:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-31T07:12:19] front_door_lock | DoorLock.LockState = 1
[2026-07-31T18:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-31T18:09:00] front_door_lock | DoorLock.LockState = 2
[2026-07-31T18:09:02] front_door_contact | BooleanState.StateValue = False
[2026-07-31T18:09:12] entrance_light | OnOff.OnOff = True
[2026-07-31T19:17:05] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T19:19:19] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T19:39:19] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T19:45:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T19:47:05] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T19:51:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-31T19:51:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-07-31T19:59:00] kitchen_dishwasher | OnOff.OnOff = True
[2026-07-31T19:59:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-07-31T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-31T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-31T20:04:00] entrance_light | OnOff.OnOff = True
[2026-07-31T20:04:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T20:15:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T20:17:05] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T20:24:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T20:44:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T20:45:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T20:47:05] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T21:52:06] entrance_light | OnOff.OnOff = False
[2026-07-31T21:52:39] front_door_contact | BooleanState.StateValue = True
[2026-07-31T21:52:40] 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。",
  "reasoning": [
    "1. 门锁与传感器状态逻辑一致：07:12 和 18:09 的出门场景中，门锁先上锁（LockState=2），随后门磁显示关闭（False），符合正常离家流程；21:52 进门场景中，门磁打开（True）后手动解锁（LockState=1），符合正常回家流程。",
    "2. 无非法入侵迹象：所有门锁操作均标记为 'Manual'（手动），且发生在合理的时间段（早晨、傍晚、晚上），没有非授权时间的异常开锁记录。",
    "3. 室内活动轨迹正常：晚间（19:17-21:52）客厅、卧室、卫生间均有运动传感器触发，表明住户在屋内正常活动，无长时间静止或跌倒风险，也无无人看管时的异常设备开启（如灶具仅在19:51前使用并关闭）。"
  ],
  "key_evidence": [
    "07:12:14 LockOperation(LockOperationType=1) -> 07:12:16 Contact=False (正常出门)",
    "18:09:00 LockOperation(LockOperationType=1) -> 18:09:02 Contact=False (正常出门)",
    "21:52:39 Contact=True -> 21:52:40 LockOperation(LockOperationType=0) (正常回家)",
    "19:17-21:52 期间多个房间 Occupancy Sensor 有规律触发，证明有人在家"
  ],
  "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: 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: SQ3
- 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: 80

## 跨天活动摘要
- 2026-07-26: living_room=209, bedroom=244, kitchen=238, entrance=229, bathroom=65

## 设备事件日志
[2026-07-26T08:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2527
[2026-07-26T08:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-26T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T08:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2532
[2026-07-26T08:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-26T08:40:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T08:40:04] living_room_light | OnOff.OnOff = True
[2026-07-26T08:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2535
[2026-07-26T08:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2533
[2026-07-26T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-26T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-26T09:00:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-07-26T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-26T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-26T09:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-07-26T09:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-26T09:15:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T09:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T09:16:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-26T09:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-07-26T09:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-26T09:20:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T09:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2447
[2026-07-26T09:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-26T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-26T09:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-07-26T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-26T09:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-07-26T09:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-07-26T09:35:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T09:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T09:36:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T09:37:20] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-26T09:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-07-26T09:40:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-26T09:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-07-26T09:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-26T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-26T09:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2455
[2026-07-26T09:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-26T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-26T09:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-07-26T09:55:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T09:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T09:56:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-26T10:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-07-26T10:00:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-26T10:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-07-26T10:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-26T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-26T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-26T10:07:00] living_room_light | OnOff.OnOff = True
[2026-07-26T10:07:20] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-07-26T10:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-07-26T10:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-07-26T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-26T10:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-26T10:15:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T10:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T10:16:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-26T10:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-26T10:20:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T10:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-26T10:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-07-26T10:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-26T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-07-26T10:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2438
[2026-07-26T10:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-26T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-26T10:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-07-26T10:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-26T10:35:00] bedroom_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情况，日志显示为独居老人在上午时段的正常居家活动。",
  "reasoning": [
    "1. 人员活动模式分析：日志显示从08:40开始，客厅、卧室、厨房、玄关等多个区域的活动传感器（Occupancy）频繁触发且状态持续为1，表明住户在上午时段处于活跃状态，并在不同房间间移动（如从卧室到客厅，再到厨房/玄关），符合独居老人起床后日常活动的特征。",
    "2. 环境与安全设备状态：所有温度传感器读数在合理范围内（约24-25°C），无剧烈波动；烟雾报警器、漏水传感器、灶具等关键安全设备在日志期间未触发任何报警或异常状态（如CO浓度升高、水浸、明火等）。",
    "3. 门窗与照明逻辑：客厅和卧室窗户传感器在10:05-10:06显示关闭（False），随后客厅灯光开启，这属于正常的室内光线调节行为，未发现非法入侵迹象（如门锁异常开启或窗户长时间未关导致的安全隐患）。",
    "4. 排除误报可能：虽然卫生间运动传感器在09:37和10:07显示为0（无人），但这通常意味着用户离开了卫生间，结合其他区域的高活跃度，排除了‘跌倒’或‘长时间静止’导致的健康风险（abnormal_inactivity/possible_fall）。"
  ],
  "key_evidence": [
    "多区域 occupancy_sensor 在 08:40-10:35 期间持续报告 Occupancy=1，证明住户活跃。",
    "所有 smoke_co_alarm, water_leak_detector, cook_surface 均无异常触发记录。",
    "temperature_sensor 读数稳定在舒适区间 (24.4°C - 25.6°C)，无极端值。",
    "window_contact_sensor 状态变化与 lighting 操作时间接近，符合正常生活逻辑。"
  ],
  "recommended_actions": [
    "无需立即干预，建议继续监控后续日志以确认全天活动规律。",
    "可考虑设置自动化规则：若白天多个区域长时间无活动（如超过2小时），则发送健康检查提醒。"
  ]
}
```

{
  "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。"
  ]
}