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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 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
- 已选事件数: 12

## 设备事件日志
[2026-08-18T22:45:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T22:49:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T22:54:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T23:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T23:05:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T23:09:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T23:24:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T23:25:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T23:29:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T23:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T23:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示的是正常的夜间居家活动模式。",
  "reasoning": [
    "分析时间范围：所有事件发生在2026-08-18的22:45至23:30之间，属于典型的夜间休息时段。",
    "分析人员轨迹：日志显示人员在客厅(living_room)、玄关(entrance)和卫生间(bathroom)之间有规律地移动。例如，22:45在客厅，随后22:49出现在玄关（可能准备出门或刚回家），22:54离开卫生间，之后又多次在客厅和玄关出现。这种短时间的、多房间的往返移动符合人类正常的夜间行为（如喝水、上厕所、查看门窗等）。",
    "分析异常指标：卧室(master_bedroom, second_bedroom)的运动传感器持续报告为0（无人），这符合夜间就寝的预期状态。没有检测到非法入侵特征（如深夜门锁被暴力开启且无对应住户运动轨迹），也没有检测到火灾、漏水或设备故障的迹象。",
    "结论：基于Matter协议的标准传感器数据，这些状态变化构成了连贯且合理的用户行为链，未发现任何偏离正常基线的安全威胁。"
  ],
  "key_evidence": [
    "22:45-23:30期间，客厅、玄关、卫生间均有活跃的运动检测，表明有合法住户在家活动。",
    "主卧和次卧在整个时间段内均无运动检测(Occupancy=0)，符合夜间睡眠场景。",
    "未涉及门锁状态变更、烟雾报警、漏水检测或其他高危传感器的触发。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控夜间长时间无活动的情况，以防范可能的健康意外（如跌倒后无法起身），但当前日志尚不足以构成警报。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

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

## 设备事件日志
[2026-08-01T22:45:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T22:48:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T22:59:01] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T23:05:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T23:08:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T23:09:00] living_room_light_1 | OnOff.OnOff = False
[2026-08-01T23:09:04] living_room_ac | OnOff.OnOff = False
[2026-08-01T23:09:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-08-01T23:09:16] front_door_contact | BooleanState.StateValue = True
[2026-08-01T23:09:17] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-01T23:09:17] front_door_lock | DoorLock.LockState = 1
[2026-08-01T23:09:18] bedroom_light | OnOff.OnOff = False
[2026-08-01T23:25:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T23:29:01] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T23:29:10] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T23:45:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T23:49:10] 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。

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示住户在夜间正常活动（客厅、卧室、卫生间），并在23:09左右完成关灯、关空调及锁门动作，符合正常的就寝或离家准备行为模式，未检测到安全威胁。",
  "reasoning": [
    "1. 分析人员活动轨迹：22:45至23:49期间，客厅、卧室和卫生间的运动传感器多次触发（Occupancy=1）并随后消失（Occupancy=0），表明住户在房间内正常走动，无长时间静止不动导致的跌倒风险或异常静默。",
    "2. 识别关键安全动作序列：在23:09这一时间点，系统记录了一系列连贯的操作：关闭客厅灯、关闭客厅空调、关闭卧室灯，紧接着窗户传感器显示位置为100%（通常代表完全关闭/锁定状态），最后入户门锁执行了手动上锁操作（LockState=1）。",
    "3. 综合判断行为逻辑：上述“关灯+关电器+关窗+锁门”的组合是典型的夜间就寝前或短暂外出前的安全检查流程。所有设备状态变化符合人类正常的生活习惯，没有发现非法入侵、设备故障或危险源（如火灾、漏水）的迹象。"
  ],
  "key_evidence": [
    "[23:09:09] living_room_light_1 | OnOff.OnOff = False",
    "[23:09:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (表示窗户关闭)",
    "[23:09:17] front_door_lock | DoorLock.LockState = 1 (表示门锁已上锁)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，当前场景属于正常家庭行为。",
    "建议继续保持当前的自动化规则，以支持用户便捷的就寝/离家流程。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 已选事件数: 74

## 跨天活动摘要
- 2026-08-24: bedroom=241, kitchen=238, entrance=230, living_room=209, bathroom=63

## 设备事件日志
[2026-08-24T22:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-24T22:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2159
[2026-08-24T22:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-08-24T22:18:03] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T22:19:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T22:19:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T22:19:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T22:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-24T22:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2145
[2026-08-24T22:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-24T22:24:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T22:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2157
[2026-08-24T22:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-24T22:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-08-24T22:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2143
[2026-08-24T22:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-08-24T22:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-08-24T22:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2155
[2026-08-24T22:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-24T22:38:03] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T22:39:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T22:39:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T22:39:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T22:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2246
[2026-08-24T22:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2148
[2026-08-24T22:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2147
[2026-08-24T22:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-08-24T22:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-24T22:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2251
[2026-08-24T22:54:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T22:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-08-24T22:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2156
[2026-08-24T22:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-08-24T22:58:03] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T22:59:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T22:59:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T22:59:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T23:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-08-24T23:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2149
[2026-08-24T23:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-08-24T23:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-08-24T23:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2152
[2026-08-24T23:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-24T23:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2150
[2026-08-24T23:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2250
[2026-08-24T23:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-08-24T23:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2158
[2026-08-24T23:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-08-24T23:18:03] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T23:19:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T23:19:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T23:19:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T23:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2168
[2026-08-24T23:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-08-24T23:24:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T23:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-08-24T23:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2162
[2026-08-24T23:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-24T23:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2157
[2026-08-24T23:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-24T23:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273
[2026-08-24T23:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-08-24T23:38:03] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T23:39:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T23:39:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T23:39:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T23:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2172
[2026-08-24T23:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2274
[2026-08-24T23:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-08-24T23:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2163
[2026-08-24T23:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-08-24T23:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-24T23:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2159
[2026-08-24T23:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常情况，日志显示为独居老人在夜间正常的居家活动及环境数据波动。",
  "reasoning": [
    "1. 活动模式分析：日志显示住户在22:15至23:50期间，卧室、客厅、厨房和玄关的运动传感器频繁触发（Occupancy=1），且卫生间传感器间歇性触发后归零（Occupancy=0）。这种多房间、高频次的活动轨迹符合老人在睡前进行洗漱、整理或短暂休息的正常行为模式，未发现长时间静止不动导致的'异常无活动'警报。",
    "2. 设备状态检查：所有涉及安全的设备（烟雾报警器、漏水传感器、门窗传感器）在提供的日志片段中均未报告任何告警状态（如SmokeDetected、LeakDetected、ContactOpen等）。入户门锁也未出现非法开启记录。",
    "3. 环境数据合理性：温度传感器读数（如客厅22.59°C，卧室21.59°C）处于正常舒适范围内，数值随时间有微小波动，属于正常的室内热惯性变化，未出现导致火灾或设备故障的极端高温或低温突变。"
  ],
  "key_evidence": [
    "运动传感器在多个房间（Bedroom, Living Room, Kitchen, Entrance）持续触发，表明住户处于活跃状态，排除了跌倒或昏迷风险。",
    "卫生间传感器周期性归零（如22:24, 22:54, 23:24），符合使用卫生间后离开的正常逻辑。",
    "无烟雾、漏水、入侵或门锁异常的安全类事件日志。",
    "温度读数稳定在21-23摄氏度区间，无异常飙升。"
  ],
  "recommended_actions": [
    "继续常规监控，无需立即干预。",
    "建议确认老人作息规律，若未来出现长时间（如超过2小时）全屋无运动传感器触发的情况，再启动健康关怀检查流程。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 已选事件数: 26

## 跨天活动摘要
- 2026-07-09: kids_room=232, master_bedroom=227, entrance=226, dining_room=219, living_room=113, master_bathroom=55

## 设备事件日志
[2026-07-09T22:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:25:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:25:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:27:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:29:00] living_room_light_1 | OnOff.OnOff = False
[2026-07-09T22:29:05] living_room_ac | OnOff.OnOff = False
[2026-07-09T22:29:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:29:19] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-07-09T22:29:22] front_door_contact | BooleanState.StateValue = True
[2026-07-09T22:29:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-09T22:29:23] front_door_lock | DoorLock.LockState = 1
[2026-07-09T22:29:26] master_bedroom_light | OnOff.OnOff = False
[2026-07-09T22:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T22:32:08] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T22:45:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:45:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:47:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:49:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:49:12] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T23:02:08] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T23:05:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T23:05:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T23:07:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T23:09:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T23:09:12] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示为正常的夜间家庭活动模式，包括人员移动、灯光关闭及入户门正常上锁，未检测到安全威胁。",
  "reasoning": [
    "1. 分析入户门事件：在22:29:22至22:29:23期间，入户门传感器显示开启（True），随即门锁执行了手动锁定操作（LockOperationType=0, LockState=1）。这符合住户回家或检查门窗后正常反锁的行为逻辑，且发生在深夜，属于常规安防动作。",
    "2. 分析设备状态变化：22:29左右，客厅主灯和空调被关闭，主卧床头灯也关闭。结合运动传感器在22:25-22:49期间在各房间（卧室、客厅、餐厅）的活跃记录，表明住户正在家中进行睡前准备或休息前的整理工作，随后进入睡眠区域。",
    "3. 排除异常模式：虽然22:45至23:09期间各房间运动传感器再次触发，但这与之前的活动间隔较短，可能是住户在房间内走动、如厕或调整环境所致，并未出现长时间无人却有人活动的矛盾，也未发现非法入侵特征（如非授权时间段的强行开锁或窗户被破坏）。整体行为符合家庭成员夜间作息规律。"
  ],
  "key_evidence": [
    "[2026-07-09T22:29:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual) - 确认入户门被手动正常锁定",
    "[2026-07-09T22:29:00] living_room_light_1 | OnOff.OnOff = False - 确认公共区域灯光关闭，符合就寝前行为",
    "[2026-07-09T22:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1 - 确认主卧有人活动，无空置风险"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统保持监控即可。",
    "建议用户确认入户门自动上锁功能是否已启用，以增强安全性（当前为手动锁定，若习惯良好则无需干预）。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 已选事件数: 77

## 跨天活动摘要
- 2026-08-05: kids_room=232, master_bedroom=229, entrance=228, dining_room=219, living_room=111, master_bathroom=55

## 设备事件日志
[2026-08-05T22:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-08-05T22:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-08-05T22:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-08-05T22:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-08-05T22:15:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:16:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:18:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:18:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-08-05T22:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-08-05T22:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-05T22:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2250
[2026-08-05T22:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-05T22:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-05T22:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-05T22:29:53] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T22:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-05T22:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-05T22:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2251
[2026-08-05T22:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T22:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-08-05T22:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-08-05T22:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-05T22:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-08-05T22:35:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:36:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:38:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:38:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:38:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-08-05T22:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2251
[2026-08-05T22:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-08-05T22:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2246
[2026-08-05T22:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-08-05T22:48:00] living_room_light_1 | OnOff.OnOff = False
[2026-08-05T22:48:07] living_room_ac | OnOff.OnOff = False
[2026-08-05T22:48:15] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-08-05T22:48:21] front_door_contact | BooleanState.StateValue = True
[2026-08-05T22:48:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-05T22:48:22] front_door_lock | DoorLock.LockState = 1
[2026-08-05T22:48:29] master_bedroom_light | OnOff.OnOff = False
[2026-08-05T22:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-05T22:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-05T22:55:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:58:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:58:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:58:10] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T22:59:53] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T23:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-05T23:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-08-05T23:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-05T23:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2251
[2026-08-05T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T23:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-08-05T23:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-05T23:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-08-05T23:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2246
[2026-08-05T23:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-05T23:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-05T23:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-08-05T23:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-08-05T23:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-08-05T23:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-08-05T23:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-08-05T23:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-05T23:15:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T23:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T23:18:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T23:18:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T23:18:10] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-05T23:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-05T23:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-08-05T23:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2250
[2026-08-05T23:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-08-05T23:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常模式，日志显示为正常的夜间家庭活动及设备状态更新。",
  "reasoning": [
    "1. 温度数据解读：日志中的 `TemperatureMeasurement.MeasuredValue` 数值（如 2249, 2256）符合 Matter 协议标准，单位为 0.01°C，即实际温度约为 22.49°C - 22.63°C。所有房间温度均处于舒适范围内，且变化平缓，无剧烈波动，排除火灾或传感器故障导致的极端读数。",
    "2. 人员活动模式分析：在 22:15 至 23:25 期间，玄关 (entrance)、客厅 (living_room) 和餐厅 (dining_room) 的运动传感器多次触发（Occupancy=1），这通常表明住户在家中走动、进行晚间活动（如看电视、聊天或准备休息）。这种多区域的活动是典型的居家行为，而非入侵者的快速移动或单一角落的静止停留。",
    "3. 门锁与安防状态：22:48 左右，入户门传感器显示开启 (True)，随后门锁执行了手动上锁操作 (LockState=1, OperationSource=Manual)。结合此时玄关和客厅有人员活动，这极有可能是住户回家后的正常关门落锁行为，或者是检查门窗安全，并非非法入侵迹象。",
    "4. 设备控制逻辑：22:48 左右，客厅主灯关闭、空调关闭、主卧窗帘完全闭合 (100%)、主卧床头灯关闭。这一系列动作具有高度的一致性，符合住户准备就寝或进入休息模式的典型习惯（关灯、关空调、拉窗帘）。",
    "5. 卫生间活动：主卫运动传感器在 22:29 和 22:59 显示无人 (0)，中间时段有人，符合正常的如厕或洗漱时长，未发现长时间滞留等异常情况。"
  ],
  "key_evidence": [
    "Matter 协议温度值 2249-2263 对应室温约 22.5°C，属正常范围。",
    "22:48 时刻出现联动行为：客厅灯/空调关闭 + 主卧窗帘闭合 + 入户门上锁，符合睡前/归家后的常规生活逻辑。",
    "多房间（玄关、客厅、餐厅）频繁的运动检测证实了住户在家中的正常活动轨迹。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控夜间凌晨时段的异常活动（如凌晨3-4点的非预期运动检测）。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 已选事件数: 21

## 跨天活动摘要
- 2026-08-23: living_room=192, bathroom=56, entrance=51, master_bedroom=48, second_bedroom=48, kitchen=14

## 设备事件日志
[2026-08-23T22:25:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T22:25:59] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T22:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T22:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T22:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T22:45:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T22:55:59] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:04:00] living_room_light_1 | OnOff.OnOff = False
[2026-08-23T23:04:02] living_room_ac | OnOff.OnOff = False
[2026-08-23T23:04:22] front_door_contact | BooleanState.StateValue = True
[2026-08-23T23:04:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-23T23:04:23] front_door_lock | DoorLock.LockState = 1
[2026-08-23T23:05:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T23:25:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-23T23:25:59] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示住户在深夜正常活动后关闭客厅设备并锁门，属于正常的夜间就寝或离家行为模式。",
  "reasoning": [
    "1. 分析时间线与活动：22:25至23:04期间，客厅运动传感器持续触发（Occupancy=1），表明有人在客厅活动。同时卫生间、卧室等区域无人员活动（Occupancy=0），符合单人或主要人员在公共区域活动的特征。",
    "2. 分析关键动作序列：23:04住户关闭了客厅灯和空调（OnOff=False），随后在23:04:22检测到入户门被打开（Contact=True），紧接着门锁执行了手动上锁操作（LockOperation Manual, LockState=1）。这一系列动作（关灯关空调 -> 开门 -> 锁门）逻辑连贯，极有可能是住户准备休息前检查门窗安全，或者是晚归住户进门后的标准流程。",
    "3. 排除异常风险：虽然门锁状态变化发生在深夜，但结合之前的客厅活跃记录，这并非无人时的非法入侵。没有烟雾、漏水或一氧化碳报警信号。所有设备状态变化均符合人类日常行为逻辑，未发现传感器故障或恶意攻击迹象。"
  ],
  "key_evidence": [
    "[2026-08-23T23:04:02] living_room_ac | OnOff.OnOff = False (结束客厅活动)",
    "[2026-08-23T23:04:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual) (手动上锁)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议确认该时间段是否为住户预期的作息规律，若住户通常此时已入睡，可设置‘夜间模式’自动锁定以增强安全感。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ4
- 已选事件数: 82

## 跨天活动摘要
- 2026-07-13: bedroom=242, kitchen=238, entrance=230, living_room=210, bathroom=62

## 设备事件日志
[2026-07-13T21:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-07-13T21:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2152
[2026-07-13T21:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-07-13T21:55:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T21:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T21:55:05] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T21:58:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T22:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2243
[2026-07-13T22:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2148
[2026-07-13T22:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2246
[2026-07-13T22:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-07-13T22:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2153
[2026-07-13T22:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2250
[2026-07-13T22:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-07-13T22:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2157
[2026-07-13T22:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-07-13T22:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-07-13T22:15:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T22:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T22:15:05] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T22:15:58] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T22:18:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T22:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2146
[2026-07-13T22:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2245
[2026-07-13T22:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2242
[2026-07-13T22:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2147
[2026-07-13T22:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-07-13T22:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2244
[2026-07-13T22:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-07-13T22:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-07-13T22:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2144
[2026-07-13T22:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-07-13T22:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T22:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T22:35:05] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T22:38:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T22:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2245
[2026-07-13T22:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2156
[2026-07-13T22:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2250
[2026-07-13T22:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2250
[2026-07-13T22:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2158
[2026-07-13T22:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-07-13T22:45:58] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T22:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-07-13T22:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2148
[2026-07-13T22:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-07-13T22:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-07-13T22:55:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T22:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T22:55:05] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T22:58:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T23:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-07-13T23:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2150
[2026-07-13T23:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2246
[2026-07-13T23:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-07-13T23:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2251
[2026-07-13T23:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-07-13T23:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2149
[2026-07-13T23:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-07-13T23:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-07-13T23:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2160
[2026-07-13T23:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-07-13T23:15:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T23:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T23:15:05] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T23:15:58] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T23:18:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T23:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-07-13T23:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2159
[2026-07-13T23:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-07-13T23:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-07-13T23:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2169
[2026-07-13T23:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-07-13T23:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-07-13T23:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2153
[2026-07-13T23:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-07-13T23:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2158
[2026-07-13T23:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-07-13T23:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T23:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T23:35:05] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T23:38:00] kitchen_occupancy | OccupancySensing.Occupancy = 1

## 任务
请综合以下多个设备与环境状态，评估家庭整体安全状况，指出任何潜在风险。

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常情况，设备状态和住户活动符合独居老人的正常晚间生活规律。",
  "reasoning": [
    "1. 温度数据解读：日志中的温度值（如2258, 2152）为Matter协议标准下的厘氏度（Centi-Celsius），换算后分别为22.58°C、21.52°C等。这些数值处于人体舒适且安全的范围内，无过热（火灾风险）或过冷（健康风险）迹象。",
    "2. 活动模式分析：在21:55至23:38期间，客厅、玄关、卧室的运动传感器频繁触发（Occupancy=1），表明住户在家中正常走动。卫生间传感器间歇性显示无人（Occupancy=0），符合使用卫生间后离开的正常行为逻辑。",
    "3. 关键安全设备状态：厨房灶具、烟雾报警器、一氧化碳报警器在日志片段中未报告任何异常触发或故障信号；入户门锁及窗户传感器未见非法开启记录。",
    "4. 综合判断：所有传感器读数均在合理物理范围内，活动轨迹连贯且符合独居老人晚间休息前的常规活动（如在客厅活动、去卫生间、回卧室），未发现跌倒、长时间静止（可能昏迷）、入侵或设备故障的迹象。"
  ],
  "key_evidence": [
    "TemperatureMeasurement.MeasuredValue 范围在 2144-2271 (21.44°C - 22.71°C)，属正常室温。",
    "OccupancySensing.Occupancy 在 living_room, entrance, bedroom 间交替出现，显示住户在家中有正常的移动轨迹。",
    "bathroom_occupancy 多次变为 0，随后其他区域有活动，符合如厕后离开卫生间的正常行为。",
    "无 smoke_co_alarm 报警事件，无 door_lock 异常解锁事件。"
  ],
  "recommended_actions": [
    "无需采取紧急行动。",
    "建议继续监控日常活动基线，若发现长时间无活动或温度异常波动再行介入。"
  ]
}
```

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_drift",
  "threat_description": "厨房温度传感器读数异常偏高且持续漂移，远超正常室温范围，存在严重误报或硬件故障风险。",
  "reasoning": [
    "推理步骤 1: 分析日志发现厨房温度传感器 (kitchen_temp_sensor) 的 MeasuredValue 在 2252 到 2268 之间波动。考虑到 Matter 协议中温度通常以 0.01°C 为单位，该数值实际代表约 22.52°C - 22.68°C，这在夏季夜晚属于正常室温范围，看似无异常。",
    "推理步骤 2: 然而，重新审视数据模式，发现所有房间的温度传感器（客厅、卧室、厨房）在同一时间点几乎同步更新，且数值极其接近整数（如 2258, 2152, 2252）。这种完美的同步性和数值分布特征不符合真实物理环境的热惯性，更像是模拟信号或测试数据中的‘漂移’现象，或者是设备固件将原始 ADC 值直接上报而未正确转换。",
    "推理步骤 3: 结合独居老人场景，如果这是真实的温度读数（假设单位是毫摄氏度或其他未说明单位），则厨房温度高达 225°C+，这将立即触发烟雾报警并导致火灾。即使单位是摄氏度，如此精确且同步的微小波动也表明传感器可能已损坏或校准失效（Sensor Drift），导致无法准确反映环境温度，从而可能掩盖真实的火灾隐患（如灶具过热未被检测到）或产生大量虚假警报干扰老人生活。鉴于缺乏明确的单位定义且数据呈现非自然规律，判定为传感器漂移/故障风险。",
    "关键证据": [
      "厨房温度传感器读数在 2252-2268 区间内高频波动，与其他房间温度变化趋势不完全一致（例如卧室温度在 2144-2169 之间，差异较大但同样呈现非自然平滑度）。",
      "所有温度传感器在整点（如 22:00, 22:05, 22:10）严格同步上报，缺乏真实热环境下的随机噪声和延迟特性。"
    ],
    "recommended_actions": [
      "立即检查厨房温度传感器的物理状态及供电情况，确认是否因高温环境导致元件损坏。",
      "联系技术支持或更换该传感器，因为对于独居老人家庭，不可靠的温度监测可能导致火灾漏报。",
      "暂时人工监控厨房区域，确保无人时关闭灶具，防止潜在的火险。"
    ]
  }
}
```


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

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

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

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 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: SQ1
- 已选事件数: 117

## 设备事件日志
[2026-07-14T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-14T17:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-14T18:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-14T18:07:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:09:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-14T18:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-14T18:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-07-14T18:24:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-07-14T18:29:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T18:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-14T18:37:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-14T18:42:40] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T18:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-14T18:54:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:56:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:00:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-14T19:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T19:02:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2288
[2026-07-14T19:07:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2290
[2026-07-14T19:12:40] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T19:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2293
[2026-07-14T19:19:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-07-14T19:24:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:25:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-07-14T19:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-07-14T19:37:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2288
[2026-07-14T19:42:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-07-14T19:50:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-07-14T19:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T20:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2274
[2026-07-14T20:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-07-14T20:07:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T20:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-07-14T20:12:40] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T20:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-07-14T20:19:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T20:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-07-14T20:24:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T20:25:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T20:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-07-14T20:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-07-14T20:37:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T20:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-07-14T20:42:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T20:44:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T20:45:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T20:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-07-14T21:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-07-14T21:02:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T21:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2246
[2026-07-14T21:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T21:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-07-14T21:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2246
[2026-07-14T21:19:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T21:20:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T21:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-07-14T21:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T21:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-07-14T21:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-07-14T21:37:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T21:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-07-14T21:42:40] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T21:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-07-14T21:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T21:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-07-14T21:54:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T21:55:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T22:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-07-14T22:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-07-14T22:07:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T22:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2245
[2026-07-14T22:12:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T22:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-07-14T22:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2246
[2026-07-14T22:24:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T22:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-07-14T22:29:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T22:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T22:35:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T22:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-07-14T22:42:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T22:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-07-14T22:47:00] living_room_light_1 | OnOff.OnOff = False
[2026-07-14T22:47:19] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-07-14T22:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T22:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2246
[2026-07-14T22:54:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T22:55:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T23:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-07-14T23:07:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T23:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-07-14T23:12:10] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T23:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-07-14T23:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-07-14T23:24:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T23:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-07-14T23:29:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T23:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T23:35:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T23:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-07-14T23:42:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T23:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-07-14T23:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-07-14T23:52:10] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

## 任务
根据以下传感器与设备记录，评估目标设备当前工作状态是否正常。如异常，请给出故障判断依据。

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或设备异常，所有日志记录符合正常家庭晚间活动模式。",
  "reasoning": [
    "1. 温度数据合理性分析：日志中的温度传感器数值（如2334, 2309, 2287等）明显高于常规摄氏度读数（通常15-30°C）。在Matter协议中，TemperatureMeasurement.MeasuredValue的单位是厘氏度（centi-degrees Celsius），即实际温度需除以100。例如2334代表23.34°C，2267代表22.67°C。这些数值处于舒适的室内温度范围（约22-23°C），且随时间推移呈现夜间自然降温趋势，无突变或漂移，表明传感器工作正常。",
    "2. 人员活动模式分析： occupancy_sensor（运动传感器）在客厅、餐厅、主卧、儿童房和玄关之间频繁切换状态（Occupancy=1/0），时间间隔从几分钟到十几分钟不等。这符合家庭成员在晚间进行休闲、用餐、休息等正常活动的行为特征。没有发现长时间静止不动导致的误报，也没有出现非居住区域（如阳台、次卧）的异常入侵迹象。",
    "3. 关键设备状态检查：厨房灶具（cook_surface）在19:00关闭，之后无开启记录，排除了无人看管烹饪的风险。入户门锁（door_lock）和窗户传感器（contact_sensor）在日志片段中未报告任何打开或异常状态变化（仅记录了运动传感器和温度传感器），结合运动传感器的活动轨迹，未发现非法入侵迹象。"
  ],
  "key_evidence": [
    "温度值解析为22-23°C左右，符合舒适室温，且变化平滑，无传感器故障特征。",
    "运动传感器在多个房间交替激活，符合多人口家庭晚间正常生活轨迹。",
    "厨房灶具已关闭，无持续加热风险；门窗传感器无异常触发记录。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议定期校准温度传感器以确保长期读数准确性（尽管当前读数看起来合理）。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 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
- 已选事件数: 14

## 设备事件日志
[2026-08-23T23:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T23:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "所有区域运动传感器均显示无人状态，符合深夜时段的正常家庭行为模式，未检测到安全威胁。",
  "reasoning": [
    "1. 时间背景分析：日志记录的时间为 2026-08-23 23:00 和 23:30，属于深夜时段。在此时间段，家庭成员通常处于休息状态或已在卧室就寝，公共区域（客厅、餐厅、玄关等）保持无人状态是符合常理的。",
    "2. 数据一致性检查：在两个时间点（23:00 和 23:30），所有列出的运动传感器（living_room, dining_room, master_bedroom, second_bedroom, kids_room, master_bathroom, entrance）均报告 Occupancy = 0（无人）。这种全区域一致的“静默”状态表明没有异常的人员移动或入侵迹象。",
    "3. 排除误报可能：虽然主卧、次卧等私人区域也显示无人，但这可能是因为住户尚未入睡、已离开房间或传感器灵敏度设置问题。然而，结合深夜时间和公共区域的完全静止，这更倾向于是一种正常的夜间静态场景，而非需要立即干预的安全事件。除非有特定的健康监控需求（如长时间无活动），否则仅凭此日志不足以判定为异常。"
  ],
  "key_evidence": [
    "2026-08-23T23:00:00 至 2026-08-23T23:30:00 期间，所有7个关键区域的 OccupancySensing.Occupancy 均为 0",
    "深夜时段（23:00-23:30）全屋无人员活动符合常规作息规律"
  ],
  "recommended_actions": [
    "无需采取紧急行动，系统运行正常。",
    "若用户担心老人或儿童夜间安全，可建议检查卧室传感器的覆盖范围或灵敏度设置，但当前日志不构成威胁。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 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
- 已选事件数: 10

## 设备事件日志
[2026-07-26T23:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T23:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T23:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T23:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T23:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T23:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T23:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T23:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T23:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "所有区域运动传感器均显示无人状态，符合深夜时段的正常家庭行为模式，未检测到安全威胁。",
  "reasoning": [
    "1. 时间分析：日志记录的时间为 2026-07-26 的 23:00 和 23:30，属于深夜时段，通常家庭成员处于休息或睡眠状态。",
    "2. 状态一致性检查：在两个时间点（23:00 和 23:30），客厅、主卧、次卧、卫生间及玄关的所有运动传感器（occupancy_sensor）均报告 Occupancy = 0（无人）。这种全屋无人的状态在深夜是高度一致的。",
    "3. 排除异常逻辑：虽然深夜全屋无人可能让人联想到“离家”，但考虑到这是两室一厅的家庭布局，且没有伴随门锁异常开启、窗户异常打开或其他入侵迹象，最合理的解释是住户正在卧室休息，或者运动传感器存在短暂的检测盲区/延迟，但这属于正常生理活动范围，不构成安全威胁。若为入侵，通常会伴随特定区域（如入户门附近）的传感器触发，而非全静默。"
  ],
  "key_evidence": [
    "[2026-07-26T23:00:00] 所有房间 (living_room, master_bedroom, second_bedroom, bathroom, entrance) 的运动传感器状态均为 0",
    "[2026-07-26T23:30:00] 所有房间的运动传感器状态持续保持为 0，无变化"
  ],
  "recommended_actions": [
    "无需采取紧急行动。",
    "建议用户确认家中门窗已关闭并上锁，以消除心理疑虑。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 已选事件数: 19

## 跨天活动摘要
- 2026-08-28: master_bedroom=233, kids_room=232, entrance=231, dining_room=219, living_room=110, master_bathroom=57

## 设备事件日志
[2026-08-28T22:25:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:26:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:26:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:29:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:29:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T22:40:51] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T22:45:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:46:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:46:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:49:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:49:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T23:05:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:06:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:06:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:09:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:09:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:10:51] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的夜间家庭活动模式。",
  "reasoning": [
    "1. 分析时间窗口：所有事件发生在 2026-08-28 的 22:25 至 23:10 之间，属于典型的夜间休息时段。",
    "2. 分析人员分布：运动传感器在餐厅、客厅、玄关、儿童房和主卧同时或相继被触发（Occupancy=1），表明家庭成员正在家中进行正常的晚间活动（如散步、准备睡觉等）。次卧和主卫传感器显示无人（Occupancy=0）或短暂离开后恢复，符合正常作息。",
    "3. 排除异常特征：没有发现门锁异常开启、烟雾报警、漏水检测或长时间无活动的迹象。各房间传感器的状态变化逻辑连贯，没有出现设备故障（如传感器卡死）或入侵行为（如深夜非法闯入通常伴随门锁异常或单一区域孤立活动）。"
  ],
  "key_evidence": [
    "多个房间（dining_room, living_room, entrance, kids_room, master_bedroom）在同一时间段内出现 Occupancy=1，符合多人居家活动的特征。",
    "次卧（second_bedroom）和主卫（master_bathroom）显示 Occupancy=0，表明这些区域暂时无人，符合夜间睡眠或洗漱后的正常状态。",
    "未发现任何安防类设备（门锁、窗户传感器）的异常触发记录。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "继续常规监控，确保夜间照明和安全系统处于正常工作状态。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 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: SQ1
- 已选事件数: 112

## 设备事件日志
[2026-08-20T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-20T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-20T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-20T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-20T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T18:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-20T18:04:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T18:04:21] living_room_ac | OnOff.OnOff = True
[2026-08-20T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-20T18:08:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-20T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-20T18:14:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T18:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-20T18:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-20T18:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-20T18:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-20T18:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-20T18:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T18:34:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T18:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-08-20T18:39:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T18:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-20T18:43:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T18:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-20T18:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-08-20T18:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-20T18:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-20T18:51:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-08-20T18:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2296
[2026-08-20T19:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-20T19:03:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T19:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-08-20T19:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2296
[2026-08-20T19:09:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T19:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-08-20T19:14:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T19:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283
[2026-08-20T19:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-08-20T19:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2284
[2026-08-20T19:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-08-20T19:28:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T19:29:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T19:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-20T19:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T19:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2285
[2026-08-20T19:39:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T19:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2284
[2026-08-20T19:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-08-20T19:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-08-20T19:49:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T19:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-08-20T19:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-08-20T19:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T20:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-20T20:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-08-20T20:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-20T20:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-08-20T20:09:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T20:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-08-20T20:14:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T20:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273
[2026-08-20T20:18:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T20:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-08-20T20:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-08-20T20:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-20T20:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-20T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T20:34:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T20:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-08-20T20:38:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T20:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2251
[2026-08-20T20:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-08-20T20:44:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T20:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-08-20T20:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-20T20:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-20T20:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-08-20T21:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-20T21:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T21:04:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T21:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T21:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-20T21:13:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T21:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-08-20T21:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-08-20T21:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-08-20T21:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2244
[2026-08-20T21:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-20T21:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-20T21:33:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T21:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-08-20T21:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-08-20T21:39:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T21:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2245
[2026-08-20T21:44:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T21:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-08-20T21:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-08-20T21:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-20T21:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-08-20T22:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-20T22:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T22:04:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T22:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-08-20T22:08:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T22:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-20T22:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-08-20T22:14:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T22:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-08-20T22:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-08-20T22:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2242
[2026-08-20T22:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258

## 任务
根据以下传感器与设备记录，评估目标设备当前工作状态是否正常。如异常，请给出故障判断依据。

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "key_evidence": [
    "日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房温度传感器在正常监测期间突然返回 None 值，随后恢复，表明设备可能发生故障或通信中断。",
  "reasoning": [
    "推理步骤 1: 分析日志发现，从 2026-08-20T18:45:00 到 2026-08-20T19:05:00 期间，厨房温度传感器 (kitchen_temp_sensor) 持续报告有效的温度读数（约 2297°C 至 2321°C，注意：Matter 协议中温度常以毫开尔文或特定单位存储，此处数值逻辑上代表约 23°C 左右的环境温度，符合夏季室内常态）。",
    "推理步骤 2: 在 2026-08-20T18:50:00 这一时间点，该传感器突然上报 MeasuredValue = None。这打破了之前连续的正常数据流模式。",
    "推理步骤 3: 虽然该传感器在 19:05:00 恢复了正常读数，但中间近 15 分钟的缺失无法用正常的物理环境变化解释（如空调开关导致的剧烈波动），更符合传感器硬件故障、电池耗尽、网络丢包或固件崩溃的特征。考虑到这是关键的安全/环境监测设备，其失效属于异常状态。"
  ],
  "key_evidence": [
    "[2026-08-20T18:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281",
    "[2026-08-20T18:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None",
    "[2026-08-20T19:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2296"
  ],
  "recommended_actions": [
    "立即检查厨房温度传感器的电源连接和电池状态。",
    "尝试重启厨房温度传感器设备以恢复通信。",
    "若设备无法恢复，建议联系技术支持更换传感器，并在此期间加强人工巡查厨房区域以防过热风险。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 已选事件数: 16

## 跨天活动摘要
- 2026-07-17: entrance=228, living_room=108, bathroom=56, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-07-17T22:26:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T22:27:09] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T22:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T22:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T22:46:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T22:47:09] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T22:53:43] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T23:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T23:06:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T23:07:09] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T23:23:43] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T23:26:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T23:27:09] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T23:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T23:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的夜间居家活动模式。",
  "reasoning": [
    "1. 分析时间窗口：所有事件发生在2026-07-17的22:26至23:30之间，属于典型的夜间休息时段。",
    "2. 分析人员分布与行为逻辑：主卧和次卧的运动传感器（Occupancy=0）在整个时间段内持续保持无人状态，表明住户已离开卧室区域或处于静止睡眠状态（通常运动传感器在静止时会超时归零）。",
    "3. 分析公共区域活动：客厅（living_room）和玄关/入口（entrance）的运动传感器频繁触发（Occupancy=1），且呈现周期性或间歇性出现。结合卫生间（bathroom）偶尔的占用记录，这符合住户在夜间进行如厕、喝水或在客厅短暂活动的正常行为特征。",
    "4. 排除异常迹象：没有检测到门锁被非法开启、窗户异常打开、烟雾报警或漏水等危险信号。客厅和玄关的活跃与卧室的沉寂形成了合理的“动静分离”模式，无入侵或设备故障迹象。"
  ],
  "key_evidence": [
    "master_bedroom_occupancy 和 second_bedroom_occupancy 在 22:30-23:30 期间持续为 0 (无人)",
    "living_room_occupancy 和 entrance_occupancy 在 22:26-23:27 期间多次变为 1 (有人活动)",
    "bathroom_occupancy 仅在 22:53 和 23:23 短暂变为 0 (暗示之前有人使用，符合夜间如厕习惯)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施。",
    "建议继续监控，若后续出现卧室传感器长时间无响应但其他区域有异常闯入迹象，需进一步核查。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 已选事件数: 8

## 设备事件日志
[2026-07-09T22:49:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T23:05:48] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T23:09:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T23:13:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T23:29:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T23:35:48] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T23:43:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T23:49:06] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的夜间居家活动模式。",
  "reasoning": [
    "1. 分析时间背景：所有事件发生在2026-07-09的22:49至23:49之间，属于典型的夜间休息时段。",
    "2. 分析行为模式：客厅运动传感器（living_room_occupancy）在整点附近多次触发（22:49, 23:09, 23:29, 23:49），表明住户在客厅有间歇性活动或停留。同时，卧室和卫生间的传感器显示为无人状态（Occupancy = 0），这符合住户主要在客厅活动、未进入卧室或长时间占用卫生间的正常逻辑。",
    "3. 排除异常特征：没有检测到门锁开启、窗户打开、烟雾报警、漏水或灶具开启等危险信号。也没有出现长时间无活动的健康风险迹象（如跌倒后静止）。传感器读数变化符合人体移动的自然规律，无设备故障（如卡死或漂移）的迹象。"
  ],
  "key_evidence": [
    "客厅运动传感器在22:49-23:49期间多次报告 Occupancy=1，显示持续有人活动。",
    "卧室和卫生间传感器均报告 Occupancy=0，且无其他房间（如厨房、入户门）的异常触发。",
    "无任何安防类设备（门锁、窗户、烟雾、水浸）的告警或状态改变。"
  ],
  "recommended_actions": [
    "无需采取任何行动，系统运行正常。",
    "建议保持现有监控策略，继续观察夜间活动模式以建立更精准的用户行为基线。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "日志中未出现持续矛盾、直接告警或高风险时序链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}