通知住户门锁可能卡住/故障，建议手动检查

The entrance door contact sensor is malfunctioning by reporting an 'Open' state (True) while the door is physically locked and closed, triggering a false alarm.

Explanation: At 22:35:19, the raw log shows front_door_contact StateValue = True (Open), which contradicts the subsequent manual lock command at 23:53:00.

Explanation: Despite the system receiving 'LockDoor' commands at 23:53:00 and 23:53:10 and updating LockState to 2 (Closed), the DoorLockAlarm was triggered immediately at 23:53:15.

Explanation: Historical data confirms the sensor works correctly during other lock cycles (e.g., at 07:12:28 it reported False/Closed after locking), isolating the failure to this specific event window where the sensor falsely indicated the door was open.

[2026-06-29T22:35:19] front_door_contact | BooleanState.StateValue = True

Physically inspect the entrance door magnetic contact sensor for debris, misalignment, or battery failure.

Re-calibrate or replace the front_door_contact sensor if physical inspection reveals no obstruction.

[2026-06-29T07:12:26] front_door_lock | DoorLock.LockState = 2

[2026-06-29T07:12:30] front_door_lock | DoorLock.LockState = 1

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Entrance door lock state reporting inconsistency and potential sensor misalignment.",
      "supported_by": [
        "At 2026-06-29T22:35:14, master_bedroom window covering is reported as fully open (100%).",
        "Immediately at 2026-06-29T22:35:20, front_door_lock reports LockState = 1 (Open) despite a prior Manual Lock operation at 17:51:00.",
        "At 2026-06-29T23:53:05, front_door_lock reports LockState = 2 (Closed).",
        "At 2026-06-29T23:53:15, an 'DoorLockAlarm' event occurs immediately after the state change to Closed."
      ],
      "contradicted_by": [
        "Manual lock operations were recorded at 07:12:26, 16:09:00, and 17:51:00 with subsequent LockState=2 readings.",
        "No explicit 'Unlock' events are logged between the last manual lock and the alarm, suggesting the sensor might have failed to detect an unlock rather than the user unlocking it manually."
      ]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive on DoorLockAlarm triggered by rapid state fluctuation or sticky contact.",
      "supported_by": [
        "The sequence: State=2 -> State=1 -> State=2 within ~1 minute (22:35:14 to 23:53:15) triggers an AlarmCode=0 event.",
        "AlarmCode=0 often indicates a generic fault or intrusion attempt if the door was supposed to remain locked."
      ],
      "contradicted_by": [
        "The log shows 'LockOperation(LockOperationType=0, OperationSource=Auto)' at 22:35:20 which might explain the temporary opening if the system attempted to arm/disarm based on occupancy, though the timing seems tight for a user exit."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-29T23:53:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-29T22:35:20] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-29T22:35:14] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamped raw voltage/resistance readings of the entrance contact sensor around 22:35:00 - 23:53:00 to verify physical stickiness vs. digital glitch.",
    "Motion sensor logs for the hallway/entrance area between 17:51:00 and 23:53:15 to confirm if anyone exited/entered without triggering a manual unlock event.",
    "System automation logs to check if the 'Auto' source lock/unlock at 22:35:20 corresponds to an arming routine that conflicts with the manual lock state."
  ],
  "provisional_risk": "medium"
}
```

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1842,
  "salient_event_count": 60,
  "focus_event_count": 94,
  "room_activity": {
    "kitchen": 10,
    "living_room": 21,
    "master_bedroom": 15,
    "second_bedroom": 9,
    "bathroom": 9,
    "entrance": 30
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T07:12:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T07:12:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-29T16:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T17:51:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T22:35:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-29T23:53:15] front_door_l

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Entrance door lock state reporting inconsistency and potential sensor misalignment.",
      "supported_by": [
        "At 2026-06-29T22:35:14, master_bedroom window covering is reported as fully open (100%).",
        "Immediately at 2026-06-29T22:35:20, front_door_lock reports LockState = 1 (Open) despite a prior Manual Lock operation at 17:51:00.",
        "At 2026-06-29T23:53:05, front_door_lock reports LockState = 2 (Closed).",
        "At 2026-06-29T23:53:15, an 'DoorLockAlarm' event occurs immediately after the state change to Closed."
      ],
      "contradicted_by": [
        "Manual lock operations were recorded at 07:12:26, 16:09:00, and 17:51:00 with subsequent LockState=2 readings.",
        "No explicit 'Unlock' events are logged between the last manual lock and the alarm, suggesting the sensor might have failed to detect an unlock rather than the user unlocking it manually."
      ]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive on DoorLockAlarm triggered by rapid state fluctuation or sticky contact.",
      "supported_by": [
        "The sequence: State=2 -> State=1 -> State=2 within ~1 minute (22:35:14 to 23:53:15) triggers an AlarmCode=0 event.",
        "AlarmCode=0 often indicates a generic fault or intrusion attempt if the door was supposed to remain locked."
      ],
      "contradicted_by": [
        "The log shows 'LockOperation(LockOperationType=0, OperationSource=Auto)' at 22:35:20 which might explain the temporary opening if the system attempted to arm/disarm based on occupancy, though the timing seems tight for a user exit."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-29T23:53:


运动传感器高频率周期性触发 该房间无其他活动迹象（灯关、无门窗事件） 周期性极其规律（不像人类活动的随机性）

The sensor data shows consistent behavior across all zones with no indications of malfunction or failure.

Explanation: The raw log confirms that the second_bedroom_occupancy sensor is functioning correctly by reporting 'Occupancy = 0' at every scheduled timestamp (00:00 to 05:30).

Explanation: This reading aligns perfectly with the state of all other sensors in the house (living_room, master_bedroom, etc.), indicating a synchronized and normal system-wide status during these hours.

Explanation: There are no error codes, communication failures, or conflicting states in the log that would suggest the sensor is stuck or malfunctioning.

[2026-06-14T05:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

Continue routine monitoring as the sensor is operating within expected parameters.

[2026-06-14T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

Compare the timestamp of the last successful state change for second_bedroom_occupancy against the system clock to rule out time synchronization issues causing missed packets.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1573,
  "salient_event_count": 60,
  "focus_event_count": 88,
  "room_activity": {
    "kitchen": 12,
    "living_room": 27,
    "master_bedroom": 12,
    "second_bedroom": 12,
    "bathroom": 11,
    "entrance": 14
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-14T22:47:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-14T09:51:11] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-14T22:47:30] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-14T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:00:00] bathroom_occupancy | Occ

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The second_bedroom occupancy sensor is stuck in 'Empty' (0) state, likely due to a hardware failure or firmware freeze.",
      "supported_by": ["second_bedroom has 12 recorded room activities indicating events occurred there, but all suspicious_signals for this room show Occupancy=0 at various timestamps including midnight and early morning when activity should logically occur if people are home."],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "The second_bedroom motion sensor is malfunctioning, failing to detect movement despite the room being active.",
      "supported_by": ["Room activity count of 12 suggests presence or interaction, yet no positive occupancy transitions are recorded in the suspicious signals list between 00:00 and 01:30."],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-14T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T01:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw event logs for second_bedroom_occupancy around the timestamps of other room activities to see if any non-zero occupancy values were logged but filtered out.",
    "Verify if the device ID for second_bedroom_occupancy matches the correct sensor model and check for battery voltage or communication error codes associated with that specific sensor.",
    "Compare the timestamp of the last successful state change for second_bedroom_occupancy against the system clock to rule out time synchronization issues causi


通知住户该区域烟雾报警器失灵，建议立即更换，期间注意防火

The kitchen smoke alarm has confirmed a hardware fault, rendering it non-functional and creating a significant fire safety risk.

Explanation: Raw logs explicitly record 'HardwareFaultAlert = True' and 'Event: HardwareFault()' for the kitchen_smoke_alarm at 06:49:00.

Explanation: No transient recovery or battery replacement events are logged in the provided excerpt to suggest a temporary glitch.

Explanation: Other sensors (temperature) appear operational, isolating the issue specifically to the smoke alarm device.

Immediately manually inspect and test the kitchen smoke alarm.

Replace the smoke alarm unit if hardware failure is confirmed during inspection.

[2026-06-30T22:40:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-30T07:45:19] front_door_lock | DoorLock.LockState = 2

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1829,
  "salient_event_count": 60,
  "focus_event_count": 94,
  "room_activity": {
    "kitchen": 13,
    "living_room": 22,
    "master_bedroom": 18,
    "second_bedroom": 10,
    "bathroom": 9,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T06:49:00] kitchen_smoke_alarm | HardwareFaultAlert = True",
    "[2026-06-30T06:49:00] kitchen_smoke_alarm | Event: HardwareFault()",
    "[2026-06-30T07:45:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T07:45:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T16:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Kitchen smoke alarm is experiencing a hardware fault, rendering it non-functional.",
      "supported_by": ["[2026-06-30T06:49:00] kitchen_smoke_alarm | HardwareFaultAlert = True", "[2026-06-30T06:49:00] kitchen_smoke_alarm | Event: HardwareFault()"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Kitchen temperature sensor and lighting are operating within normal parameters (no specific alerts or anomalies detected in logs).",
      "supported_by": [],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-30T06:49:00] kitchen_smoke_alarm | HardwareFaultAlert = True"
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw communication bus for kitchen_smoke_alarm between 06:48:00 and 06:50:00 to confirm if the alert was a transient glitch or persistent failure.",
    "Verify if any battery replacement events were logged around the time of the fault.",
    "Cross-reference with the kitchen_temperature_sensor logs to see if there is any concurrent thermal anomaly that might have triggered a self-diagnostic fail-safe."
  ],
  "provisional_risk": "high"
}
```

## Focused Raw Log
[2026-06-30T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-06-30T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:05:00] living_room_temp_sensor | Tempera


No anomaly detected; the continuous 'Occupancy=0' readings for second_bedroom are consistent with normal night-time inactivity and match the behavior of all other occupancy sensors.

Explanation: All room occupancy sensors (living_room, master_bedroom, bathroom, entrance) report '0' at the exact same timestamps as second_bedroom throughout the entire log period.

Explanation: The uniform state across all devices rules out isolated sensor failure, network disconnection, or power loss specific to the second_bedroom node.

Explanation: The data reflects a normal scenario where no one is present in any room during the late-night/early-morning hours, evidenced by the lack of door lock events until the next morning.

[2026-06-27T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0 AND second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T01:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0 AND second_bedroom_occupancy | OccupancySensing.Occupancy = 0

Continue monitoring; no immediate action required.

Verify if household members expect activity in second_bedroom during these hours only if they believe someone should be there.

[2026-06-27T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

Cross-reference timestamps with door lock logs to see if someone entered the second_bedroom after 00:00 but before 01:30 while the sensor remained silent.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1574,
  "salient_event_count": 60,
  "focus_event_count": 88,
  "room_activity": {
    "kitchen": 12,
    "living_room": 27,
    "master_bedroom": 12,
    "second_bedroom": 12,
    "bathroom": 11,
    "entrance": 14
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-27T22:57:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-27T09:51:21] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-27T22:57:25] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T00:00:00] bathroom_occupancy | Occ

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The second_bedroom occupancy sensor exhibits a complete data blackout or stuck-off state, reporting '0' (empty) continuously from midnight through the early morning hours despite potential human activity in the home.",
      "supported_by": [
        "[2026-06-27T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-27T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-27T01:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential power loss or network disconnection for the second_bedroom motion sensor, indicated by a long interval of static zero readings compared to other sensors that may have updated or reset at T+30m.",
      "supported_by": [
        "Consistent stream of identical '0' values for second_bedroom_occupancy over 3 hours",
        "Absence of any timestamped updates between 00:00 and 01:30 specifically for this room's sensor in the suspicious_signals list"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Continuous 'Occupancy=0' reports from second_bedroom starting at 00:00 without any subsequent state change or heartbeat update in the provided log snippet."
  ],
  "what_to_verify_in_raw_log": [
    "Check for battery voltage levels (< 3.0V) on the second_bedroom_occupancy sensor node.",
    "Verify if there are any 'DeviceOffline', 'ReconnectFailure', or 'NetworkTimeout' events associated with the second_bedroom MQTT/CoAP ID.",
    "Cross-reference timestamps with door lock logs to see if someone entered the second_bedroom after


温度传感器读数固定（stuck-at）

Day1 温度有正常的日间波动（上午偏低、中午偏高、晚间回落）
Day2 中午开始读数完全固定在 23.50°C
连续24小时+完全无变化，真实温度不可能如此稳定

标记传感器可能故障，建议住户检查/更换

The living_room occupancy sensor is malfunctioning and reporting a permanent 'empty' state despite significant environmental activity (rising temperature) and system interactions (AC activation), contradicting the expected behavior for an occupied smart home.

Explanation: All rooms reported 'Occupancy = 0' throughout the night, which is consistent with a house being empty at 00:00-05:30, establishing a baseline of normality for that specific hour block.

Explanation: However, from 10:07 onwards, the `living_room_ac` activated (`SystemMode=3`) and the `living_room_temp_sensor` recorded a rapid rise in temperature (from 2448 to 2552), indicating active human usage or presence in the room.

Explanation: Despite the AC running and temperature rising (signs of occupancy), the `living_room_occupancy` sensor continued to report `0`, failing to detect the change in state caused by the system interaction or the resulting thermal changes, confirming a sensor logic failure rather than actual emptiness.

[2026-06-21T10:07:05] living_room_ac | Thermostat.SystemMode = 3

[2026-06-21T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552

[2026-06-21T10:10:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Manually inspect the living room occupancy sensor hardware for physical obstruction or battery issues.

Review firmware logs for calibration errors or missed pulse detection thresholds during the morning hours.

Temporarily replace the sensor with a known-good unit to verify functionality before permanent repair.

[2026-06-21T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

Raw IR/RF raw signal strength and timestamp correlation for living_room_occupancy_sensor to detect if it is receiving valid pulses but misclassifying them as 'empty'.

Check battery voltage levels for the living_room_occupancy_sensor device node.

Verify if there were any motion events logged for living_room_occupancy that were filtered out or suppressed by firmware logic due to calibration errors.

Cross-reference with living_room_temperature_sensor and air_conditioner logs to see if AC cycles occurred while occupancy remained 0 (indicating user presence).

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 living_room 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1580,
  "salient_event_count": 60,
  "focus_event_count": 88,
  "room_activity": {
    "kitchen": 12,
    "living_room": 26,
    "master_bedroom": 12,
    "second_bedroom": 12,
    "bathroom": 12,
    "entrance": 14
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-21T23:12:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-21T10:07:13] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-21T23:12:24] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-21T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T00:00:00] bathroom_occupancy | Occupa

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 living_room 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Living room occupancy sensor is non-functional or permanently reporting empty state.",
      "supported_by": [
        "[2026-06-21T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-21T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-21T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-21T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "House was empty during the monitored night period, and sensors are functioning correctly.",
      "supported_by": [],
      "contradicted_by": [
        "Global context implies a 'smart-home anomaly query' which typically arises when expected activity does not match sensor data; combined with H1's persistent zero reading despite other rooms also being zero at specific timestamps, a total house emptiness for 4+ hours without any movement events (salient_event_count=60 but focus on living_room shows no positive triggers) makes functional correctness of the sensor in isolation unlikely if human presence was expected."
      ]
    }
  ],
  "most_concerning_signals": [
    "Persistent Occupancy=0 readings for living_room at hourly intervals (00:00, 00:30, 01:00, 01:30).",
    "Contrast between reported 'room_activity': living_room: 26 vs actual occupancy log showing only zeros suggests the 26 events might be background noise or false positives from other sub-sensors, or the activity count includes the error itself."
  ],
  "what_to_verify_in_raw_log": [
    "Raw IR/RF raw signal strength and timestamp correlation for living_


The second_bedroom occupancy sensor is functioning normally, consistently reporting 'empty' states during the analyzed night hours with no signs of malfunction or stuck states.

Explanation: Raw logs show consistent 'OccupancySensing.Occupancy = 0' for second_bedroom_occupancy at every timestamp from 00:00 to 04:30, indicating regular heartbeat and data transmission.

Explanation: No error flags (e.g., timeout, lost heartbeat) are present in the log entries for this specific sensor.

Explanation: The behavior aligns with a normal household schedule where the bedroom is unoccupied during the early morning hours, contradicting hypotheses of sensor failure.

[2026-06-10T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-10T07:42:21] front_door_lock | DoorLock.LockState = 2

[2026-06-10T07:42:26] front_door_lock | DoorLock.LockState = 1

[2026-06-10T15:57:00] front_door_lock | DoorLock.LockState = 2

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1836,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 11,
    "living_room": 21,
    "master_bedroom": 15,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T07:42:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T07:42:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-10T15:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T18:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T22:18:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-10T07:42:21] fron

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Second bedroom occupancy sensor is functioning normally, reporting consistent 'empty' states aligned with the household schedule (night/early morning) and lack of activity events in that zone.",
      "supported_by": [
        "room_activity.second_bedroom = 10 (low but non-zero, consistent with occasional movement or background noise)",
        "suspicious_signals contains multiple timestamps at 00:00:00 and 00:30:00 showing second_bedroom_occupancy = 0",
        "No suspicious signals indicate stuck states (e.g., persistent 1 when empty) or communication errors for this specific sensor."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [],
  "what_to_verify_in_raw_log": [
    "Check raw packet headers for any 'timeout' or 'heartbeat lost' flags associated with second_bedroom_occupancy events.",
    "Verify if the 10 recorded activity events in room_activity correspond to valid motion detection triggers or false positives from environmental factors."
  ],
  "provisional_risk": "none"
}

## Focused Raw Log
[2026-06-10T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-06-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-10T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-10T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-10T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-10T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-06-10T00:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-06-10T00:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273
[2026-06


温度传感器读数固定（stuck-at）

标记传感器可能故障，建议住户检查/更换

The living room occupancy sensor is functioning correctly; the house was empty during the monitoring period until a resident returned late at night.

Explanation: Raw logs show consistent 'Occupancy = 0' readings for the living room between 00:00 and 22:01, which aligns with the absence of any other activity indicators (like lights turning on or motion events) during these hours.

Explanation: The 'room_activity' count mentioned in Stage-1 refers to historical data or metadata not present in the provided log snippet; within the visible timestamps, no conflicting positive signals exist.

Explanation: A legitimate 'Occupancy = 1' event appears at 22:02:07, immediately following door lock unlock events at 22:00:46, confirming the sensor successfully detects entry when occupants return.

No positive occupancy events recorded for living_room between 00:00 and 22:00.

Successful detection of Occupancy = 1 at 22:02:07 correlating with front_door_lock state changes indicating a person's arrival.

Verify if the high 'room_activity' count (23 events) mentioned in system metadata corresponds to historical data outside the current log window.

Continue standard monitoring; no immediate intervention required as sensor behavior is consistent with an empty house followed by normal re-entry.

[2026-06-03T18:09:00] front_door_lock | DoorLock.LockState = 2

[2026-06-03T22:00:46] front_door_lock | DoorLock.LockState = 1

Consistent 'Occupancy = 0' readings from living_room_occupancy sensor over multiple time intervals (00:00, 00:30, 01:00) without any corresponding state change or positive detection, especially given the high room_activity count for living_room.

Absence of any positive occupancy events for living_room in the provided log snippet, contrasting with the expected behavior of a main living area.

Timestamps between 07:16 and 22:00 to check for manual lock operations correlating with entry/exit into the living room.

State changes for living_room_dimmable_light and living_room_onoff_light to see if they triggered automatically upon motion (which would confirm sensor failure if lights turned off/on while person was present).

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 living_room 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1668,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 23,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 11,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-03T07:16:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-03T07:16:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-03T18:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-03T22:00:46] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-03T07:16:18] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-03T07:16:26] front_door_lock | DoorLock.LockState = 1",
    "[2

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 living_room 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Living room occupancy sensor is non-functional or misconfigured, reporting 'empty' (0) continuously even when other rooms show activity.",
      "supported_by": [
        "living_room has 23 room_activity events, indicating potential human presence in the home that might overlap with the living area.",
        "All recorded living_room_occupancy events explicitly state Occupancy = 0 at 00:00, 00:30, and 01:00.",
        "Contrast with entrance_occupancy also showing 0, but entrance often sees higher traffic; however, if no one enters, this is normal. The key anomaly is the lack of any positive detection event for the living room despite it being a high-traffic zone (23 events vs others)."
      ],
      "contradicted_by": [
        "Evidence does not explicitly prove someone was in the living room; absence of evidence is not evidence of absence unless correlated with other sensors (e.g., lights turning on/off unexpectedly, though no such light events are in the suspicious_signals list)."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The house is currently empty, and all sensors are functioning correctly by reporting zero occupancy.",
      "supported_by": [
        "All occupancy sensors across all rooms report 0 at the sampled timestamps.",
        "No conflicting data suggests motion where none should be."
      ],
      "contradicted_by": [
        "The layout shows living_room has significantly higher activity count (23) than bedrooms/kitchen/bath (11), which might imply the living room is the primary activity hub during the monitoring period, yet it shows no occupancy spikes. If activity occurred, the sensor failed to detect it."
      ]


通知住户该区域烟雾报警器失灵，建议立即更换，期间注意防火

The kitchen smoke alarm has triggered a hardware fault event and entered an error state, rendering it non-functional.

Explanation: Raw logs explicitly show 'HardwareFaultAlert = True' and 'Event: HardwareFault()' at 19:39:00 for the kitchen_smoke_alarm.

Explanation: The device state changed to 'ExpressedState = 5', which typically indicates a specific fault code or disabled status in IoT protocols.

Explanation: No subsequent reset or replacement events are recorded in the provided log excerpt, confirming the sensor is currently failed.

Immediately manually inspect the kitchen smoke alarm unit for physical damage or battery issues.

Replace the smoke alarm or its battery if removable to restore safety monitoring.

Verify operation of backup fire detection methods until the sensor is confirmed functional.

[2026-06-06T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-06T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1571,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 14,
    "living_room": 28,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 11,
    "entrance": 14
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-06T19:39:00] kitchen_smoke_alarm | HardwareFaultAlert = True",
    "[2026-06-06T19:39:00] kitchen_smoke_alarm | Event: HardwareFault()",
    "[2026-06-06T22:53:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-06T09:53:12] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-06T22:53:29] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-06T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Kitchen smoke alarm is experiencing a hardware failure, rendering it non-functional.",
      "supported_by": [
        "[2026-06-06T19:39:00] kitchen_smoke_alarm | HardwareFaultAlert = True",
        "[2026-06-06T19:39:00] kitchen_smoke_alarm | Event: HardwareFault()"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Living room curtains are fully closed as expected during the night cycle (or due to automation rules).",
      "supported_by": [
        "[2026-06-06T09:53:12] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "All occupancy sensors report zero activity at midnight and hourly intervals, consistent with an empty house or standard sleep schedule.",
      "supported_by": [
        "[2026-06-06T00:00:00] ... OccupancySensing.Occupancy = 0",
        "[2026-06-06T00:30:00] ... OccupancySensing.Occupancy = 0",
        "[2026-06-06T01:00:00] ... OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-06T19:39:00] kitchen_smoke_alarm | HardwareFaultAlert = True",
    "[2026-06-06T19:39:00] kitchen_smoke_alarm | Event: HardwareFault()"
  ],
  "what_to_verify_in_raw_log": [
    "Check for subsequent events related to kitchen_smoke_alarm indicating a reset attempt or replacement order.",
    "Verify if any fire/smoke event was triggered immediately after the fault alert but before any user intervention.",
    "Review maintenance logs for battery replacement or sensor calibration history around 19:39."
  ],
  "provisional_r


LockDoor 命令后 LockState 未变为 Locked
DoorLockAlarm (LockJammed) 触发
门锁故障意味着家庭物理安全降级

通知住户门锁可能卡住/故障，建议手动检查

The entrance occupancy sensor is functioning normally; the apparent lack of logs is due to the sensor only reporting changes (state transitions) rather than continuous status updates.

Explanation: Raw logs show that at 07:13:11 and 18:18:16, the entrance_occupancy sensor explicitly reported Occupancy = 1 immediately preceding door interactions.

Explanation: At 21:04:09, while a living room occupancy event was logged, there is no entry for the entrance sensor. Since the sensor reports state changes only, this indicates the occupancy value did not change from its previous state (likely already 1 from the 18:18 event or remained 1 until a departure occurred).

Explanation: Door contact sensors confirm physical access events (e.g., opening/closing at 07:13:15/13:20), proving the door hardware and contacts are operational, contradicting any theory of a stuck 'empty' sensor.

[2026-06-22T07:13:11] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-22T18:18:16] entrance_occupancy | OccupancySensing.Occupancy = 1

Update system documentation to clarify that entrance_occupancy uses delta-based logging (event-driven) rather than periodic polling.

[2026-06-22T07:13:21] front_door_lock | DoorLock.LockState = 1

[2026-06-22T18:20:00] front_door_lock | DoorLock.LockState = 2

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Entrance area occupancy sensor is malfunctioning (stuck reporting empty) or the zone configuration is incorrect, as it fails to detect human presence despite door lock interactions occurring within the same timeframe.",
      "supported_by": [
        "[2026-06-22T07:13:13] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-22T07:13:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-22T18:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-22T21:04:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
        "Room activity count for entrance (28) vs living_room (24) suggests high traffic, yet no occupancy events are logged in the suspicious signals list."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "The front door lock is experiencing a state inconsistency or firmware bug where the 'LockState' does not align with the reported 'LockOperation' events (e.g., locking operation followed by immediate unlock without explicit event, or alarm triggered while locked).",
      "supported_by": [
        "[2026-06-22T07:13:13] ... LockState = 2",
        "[2026-06-22T07:13:21] ... LockState = 1",
        "[2026-06-22T21:04:05] ... LockState = 2",
        "[2026-06-22T21:04:15] ... LockState = 2",
        "[2026-06-22T22:00:23] ... LockState = 1"
      ],
      "contradicted_by": [
        "Standard lock behavior implies a manual lock should result in state 2 persisting until unlocked; the transition at 07:13:21 occurs only 8 seconds after manual lock."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T21:04:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "Absence of any entrance_occupancy log entries during times of confirmed door interaction (07:13, 18:20, 21:04)."
  ],
  "what_to_verify_in_raw_log": [
    "Raw timestamps and state transitions of entrance_occupancy_sensor to check if it went into 'error', 'calibrating', or simply missed packets.",
    "Raw logs for entrance_contact_sensor to see if the door was actually opened/closed when the alarm occurred at 21:04.",
    "Firmware version and last reboot time for front_door_lock and entrance_occupancy_sensor.",
    "Network connectivity logs for the entrance zone devices between 07:13 and 22:00."
  ],
  "provisional_risk": "medium"
}
```

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1659,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 10,
    "living_room": 24,
    "master_bedroom": 10,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 28
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:13:13] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:13:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T18:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T21:04:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-22T22:00:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T07:13:13] front_door_lock | DoorLock.LockState = 2",

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Entrance area occupancy sensor is malfunctioning (stuck reporting empty) or the zone configuration is incorrect, as it fails to detect human presence despite door lock interactions occurring within the same timeframe.",
      "supported_by": [
        "[2026-06-22T07:13:13] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-22T07:13:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-22T18:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-22T21:04:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
        "Room activity count for entrance (28) vs living_room (24) suggests high traffic, yet no occupancy events are logged in the suspicious signals list."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "The front door lock is experiencing a state inconsistency or firmware bug where the 'LockState' does not align with the reported 'LockOperation' events (e.g., locking operation followed by immediate unlock without explicit event, or alarm triggered while locked).",
      "supported_by": [
        "[2026-06-22T07:13:13] ... LockState = 2",
        "[2026-06-22T07:13:21] ... LockState = 1",
        "[2026-06-22T21:04:05] ... LockState = 2",
        "[2026-06-22T21:04:15] ... LockState = 2",
        "[2026-06-22T22:00:23] ... LockState = 1"
      ],
      "contradicted_by": [
        "Standard lock behavior implies a manual lock should result in state 2 persisting until unlocked; the transition at 07:13:21 occurs only 8 seconds after manual lock."


温度传感器读数固定（stuck-at）

标记传感器可能故障，建议住户检查/更换

The living room occupancy sensor is functioning correctly; the consistent '0' readings are explained by the absence of human activity during the night and early morning hours shown in the logs.

Explanation: The raw log shows continuous, regular heartbeat updates from the living_room_occupancy sensor at hourly intervals (00:00, 01:00, etc.), refuting the hypothesis of a data staleness or packet loss failure.

Explanation: Correlating with other sensors, the living_room_temp_sensor also reports values consistently every 5 minutes during this period, confirming that the device is alive and communicating properly.

Explanation: The first recorded presence event for any sensor in the house occurs at 16:01:25 (entrance), meaning the living room was legitimately unoccupied between 00:00 and 16:00, validating the zero occupancy readings as normal behavior.

[2026-06-19T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-19T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-19T16:01:25] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-19T07:16:22] front_door_lock | DoorLock.LockState = 2

[2026-06-19T07:16:33] front_door_lock | DoorLock.LockState = 1

[2026-06-19T16:02:00] front_door_lock | DoorLock.LockState = 2

Check the raw timestamp intervals of 'living_room_occupancy' events to determine if they are missing packets or consistently stuck at 0.

Correlate 'living_room_dimmable_light', 'living_room_window_covering', and 'living_room_onoff_light' state changes with occupancy reports to see if light switches occur without occupancy detection.

Verify battery levels and last heartbeat time for the living_room_occupancy_sensor.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 living_room 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1849,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 10,
    "living_room": 20,
    "master_bedroom": 15,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:16:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:16:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T16:02:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T17:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T22:24:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T07:16:22] front_d

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 living_room 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Living room occupancy sensor exhibits data staleness or failure to update, reporting a static 'empty' state for over 24 hours despite significant activity in other rooms.",
      "supported_by": ["[2026-06-19T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-19T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": ["room_activity.living_room has 20 events (likely lighting/curtain/window adjustments)", "suspicious_signals shows master_bedroom_window and front_door_lock activity late in the evening (22:24), suggesting human presence elsewhere in the house"]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The living room is genuinely unoccupied for an extended period (e.g., overnight or during work hours), explaining the consistent zero readings.",
      "supported_by": ["Consistent Occupancy = 0 at 00:00 and 00:30", "No contradictory high-energy events specific to the living room in the suspicious signals list"],
      "contradicted_by": ["Significant 'living_room' activity count of 20 suggests device interactions occurred", "The timestamp gap between 00:30 and later evening events implies the sensor may have stopped updating rather than just detecting emptiness"]
    }
  ],
  "most_concerning_signals": [
    "Multiple consecutive timestamps (00:00, 00:30) showing no change in living_room_occupancy status while other rooms show activity",
    "Total event count (1849) vs Salient event count (60) discrepancy might indicate silent failures in non-salient sensors like the living room motion detector"
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw timestamp intervals of 'living_room_occu


状态 vs 实际位置不一致

The second_bedroom window sensor is reporting a static error state (0b000010) and an inconsistent position value (5000) immediately after receiving a close command, indicating the device is unresponsive or mechanically stuck.

Explanation: At 07:53:00, a valid 'DownOrClose' command was sent to the second_bedroom_window.

Explanation: Starting at 07:53:01, the sensor returned OperationalStatus = 0b000010 continuously for over a minute, which contradicts the expected progression of a closing operation.

Explanation: Simultaneously, CurrentPositionLiftPercent100ths reported 5000 (mid-position), failing to update towards 0 (closed) despite the command, confirming the sensor/actuator feedback loop is broken.

Explanation: No subsequent logs show a return to normal operational status or a successful completion state.

[2026-06-08T07:53:00] second_bedroom_window | Command: DownOrClose

[2026-06-08T07:53:30] second_bedroom_window | CurrentPositionLiftPercent100ths = 5000

Manually inspect the physical window blind motor in the second bedroom for obstructions or mechanical jams.

Replace the battery or re-pair the second_bedroom_window sensor if power issues are suspected.

Reset the smart home hub's actuator configuration for this specific device to clear any firmware glitches.

[2026-06-08T07:48:32] front_door_lock | DoorLock.LockState = 2

[2026-06-08T07:48:40] front_door_lock | DoorLock.LockState = 1

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1835,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 10,
    "living_room": 20,
    "master_bedroom": 16,
    "second_bedroom": 14,
    "bathroom": 9,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-08T07:48:32] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T07:48:40] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-08T16:15:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T18:16:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T22:11:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-08T07:48:32] front

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "次卧 (second_bedroom) 窗户传感器报告了持续且无变化的异常操作状态 (0b000010)，表明设备可能卡死、固件错误、电池电量耗尽或物理连接中断。",
      "supported_by": ["[2026-06-08T07:53:01] second_bedroom_window | OperationalStatus = 0b000010", "[2026-06-08T07:53:30] second_bedroom_window | OperationalStatus = 0b000010", "[2026-06-08T07:54:00] second_bedroom_window | OperationalStatus = 0b000010"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "次卧 occupancy_sensor 在凌晨 00:00 报告无人状态，符合夜间作息规律，显示其基本功能正常。",
      "supported_by": ["[2026-06-08T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "second_bedroom_window | OperationalStatus = 0b000010 (Repeated for 3 minutes)",
    "second_bedroom_window | CurrentPositionLiftPercent100ths = 5000"
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw signal strength (RSSI) and battery voltage logs for 'second_bedroom_window' during 07:53 to rule out power issues.",
    "Verify if there were any simultaneous network packet loss or retransmission events around 07:53.",
    "Cross-reference with the physical state of the window blind/motor at that time to see if a command was actually received."
  ],
  "provisional_risk": "low"
}
```

## Focused Raw Log
[2026-06-08T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-06-08T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-08T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-08T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-08T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0


通知住户门锁可能卡住/故障，建议手动检查

The entrance contact sensor is functioning normally, correctly detecting door opening/closing events which triggered expected auto-locking behaviors.

Explanation: Analysis of the raw log shows a clear sequence at 07:26:34-07:26:41 where the front_door_contact sensor reported state changes (False then True) corresponding to manual unlocking and subsequent closing/opening actions.

Explanation: These sensor updates directly preceded the 'Auto' lock operation at 07:26:42, confirming the system relies on valid sensor input rather than faulty internal logic.

Explanation: The earlier alarm at 07:23:15 was likely a transient glitch or false positive that self-resolved, as the sensor subsequently operated without issue during the verified interaction window.

Explanation: No evidence of stuck states, unresponsiveness, or data drift was found in the provided log excerpt for the entrance area.

[2026-06-08T07:26:34] front_door_contact | BooleanState.StateValue = False

[2026-06-08T07:26:41] front_door_contact | BooleanState.StateValue = True

Monitor the entrance contact sensor logs over the next 24 hours to ensure no recurrence of the sporadic alarm seen at 07:23:15.

Verify physical installation of the door contact magnet if the alarm persists despite normal sensor readings.

[2026-06-08T22:27:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

Search for events from 'front_door_contact_sensor' around 07:23:00 - 07:27:00 to see if it reported a change in state corresponding to the door being opened/closed.

Check the timestamp difference between the physical door movement (if available via vibration/mic logs) and the contact sensor update to verify latency.

Verify if the 'DoorLockAlarm' persists after the subsequent manual unlock operation.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1837,
  "salient_event_count": 60,
  "focus_event_count": 94,
  "room_activity": {
    "kitchen": 10,
    "living_room": 20,
    "master_bedroom": 17,
    "second_bedroom": 9,
    "bathroom": 9,
    "entrance": 29
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-08T07:23:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-08T07:26:32] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T07:26:42] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-08T16:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T18:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T22:27:29] front_door_lock | Event: LockOperation(Loc

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The entrance contact sensor is malfunctioning (stuck or unresponsive), as indicated by a DoorLockAlarm occurring while the lock state reports 'Locked' (State=2). If the door were actually open, the alarm would not trigger; if the door was closed but the sensor failed to report 'Closed', the lock might behave erratically.",
      "supported_by": [
        "[2026-06-08T07:23:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
        "[2026-06-08T07:23:05] front_door_lock | LockState = 2",
        "[2026-06-08T07:23:15] front_door_lock | LockState = 2"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Temporal inconsistency in lock operations suggests a communication lag or sensor sync issue between the door contact and the lock controller. The manual unlock at 07:26:32 immediately followed by an auto-lock at 07:26:42 without an intervening 'door opened' event from the contact sensor implies the system relies solely on the lock's internal logic rather than the physical door state.",
      "supported_by": [
        "[2026-06-08T07:26:32] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-08T07:26:42] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "The high activity count (29) for the entrance room correlates with legitimate user behavior (entering/leaving multiple times), suggesting the occupancy sensor is functional despite the lock anomalies.",
      "supported_by": [
        "\"room_activity\": { ... \"entrance\": 29 }"


运动传感器高频率周期性触发 该房间无其他活动迹象（灯关、无门窗事件） 周期性极其规律（不像人类活动的随机性）

The sensor is functioning correctly, accurately detecting a transient occupant activity period in the second bedroom between 00:40 and 00:41.

Explanation: Initial readings at 00:00 and 00:30 showed 'empty' (0), consistent with the household's sleep schedule and other room states.

Explanation: Critical anomaly detected at 00:40:00 where second_bedroom_occupancy switched to 'occupied' (1), followed by rapid toggling (0/1) until 00:41:10, indicating actual presence rather than sensor failure.

Explanation: Subsequent readings at 01:00 returned to 'empty', confirming the device successfully reported both the absence and the brief presence of an occupant.

[2026-06-01T00:40:00] second_bedroom_occupancy | Occupancy = 1

[2026-06-01T00:40:30] second_bedroom_occupancy | Occupancy = 0

[2026-06-01T07:33:36] front_door_lock | DoorLock.LockState = 2

[2026-06-01T07:33:40] front_door_lock | DoorLock.LockState = 1

[2026-06-01T16:06:00] front_door_lock | DoorLock.LockState = 2

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1844,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 11,
    "living_room": 19,
    "master_bedroom": 14,
    "second_bedroom": 14,
    "bathroom": 9,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-01T07:33:36] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T07:33:40] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-01T16:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T17:43:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T22:14:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-01T07:33:36] front

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The second_bedroom occupancy sensor is likely malfunctioning or experiencing a communication glitch, as it reports 'empty' (0) during the same time window where other room sensors report consistent 'empty' states, but lacks contextual movement data compared to high-activity areas.",
      "supported_by": ["[2026-06-01T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-01T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The second_bedroom occupancy sensor is functioning correctly, accurately reporting an empty state at midnight and 30 minutes past, consistent with the household's sleep schedule indicated by master_bedroom emptiness.",
      "supported_by": ["[2026-06-01T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-01T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "Consistency with master_bedroom_occupancy readings"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [],
  "what_to_verify_in_raw_log": [
    "Check for missing heartbeat/ping events from second_bedroom_occupancy_sensor around 00:00 and 00:30.",
    "Verify if there were any transient motion events in second_bedroom between 00:00 and 00:30 that were not reported.",
    "Compare raw temperature logs from second_bedroom to see if the presence of a human caused a detectable micro-change in ambient temperature."
  ],
  "provisional_risk": "low"
}

## Focused Raw Log
[2026-06-01T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-06-01T00:00:00] living_room_occupancy


通知住户该区域烟雾报警器失灵，建议立即更换，期间注意防火

The kitchen smoke alarm is reporting a persistent hardware fault accompanied by an invalid state code (5) and zero temperature readings, indicating a device failure rather than a fire event.

Explanation: Raw logs confirm the kitchen_temp_sensor has no entries for the entire monitored period (00:00 to 10:35), suggesting the sensor module or the alarm unit itself has stopped transmitting data.

Explanation: At 10:33:00, the system logs explicit 'HardwareFaultAlert = True' and 'Event: HardwareFault()' for the kitchen_smoke_alarm.

Explanation: Simultaneously at 10:33:00, the alarm reports 'ExpressedState = 5', which typically indicates an internal error or communication failure, further confirming the device is malfunctioning and not just silent due to a temporary glitch.

Absence of any TemperatureMeasurement entries for kitchen_temp_sensor in the provided log window

Physically inspect the kitchen smoke alarm for battery corrosion, loose connections, or dust accumulation.

Replace the smoke alarm battery or the entire unit if it continues to report hardware faults after cleaning.

Test the alarm using the built-in test button to verify if the sensor mechanism is responsive once power is restored.

[2026-06-06T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-06T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1575,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 14,
    "living_room": 28,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 11,
    "entrance": 14
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-06T10:33:00] kitchen_smoke_alarm | HardwareFaultAlert = True",
    "[2026-06-06T10:33:00] kitchen_smoke_alarm | Event: HardwareFault()",
    "[2026-06-06T23:13:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-06T10:13:20] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-06T23:13:31] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-06T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Kitchen smoke alarm has experienced a hardware fault.",
      "supported_by": ["[2026-06-06T10:33:00] kitchen_smoke_alarm | HardwareFaultAlert = True", "[2026-06-06T10:33:00] kitchen_smoke_alarm | Event: HardwareFault()"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Living room window is fully closed (consistent with night time occupancy patterns).",
      "supported_by": ["[2026-06-06T10:13:20] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Front door was locked automatically at 23:13, consistent with end of day routine.",
      "supported_by": ["[2026-06-06T23:13:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-06T23:13:31] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-06T10:33:00] kitchen_smoke_alarm | HardwareFaultAlert = True"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps and frequency of 'HardwareFault' events for kitchen_smoke_alarm to determine if it is intermittent or persistent.",
    "Battery voltage levels or last maintenance record for the kitchen smoke alarm.",
    "Correlation between the fault event and any power grid fluctuations in the kitchen circuit.",
    "Status of other safety devices (e.g., water leak detector) to rule out a systemic hub failure."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-06T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-06-06T00:00:00] living_room_occupancy | O


The second_bedroom occupancy sensor is functioning correctly; the lack of 'Occupancy = 1' readings indicates no one was present in the room during the monitoring period, consistent with a normal empty-house state.

Explanation: All occupancy sensors across all rooms (living_room, master_bedroom, bathroom, entrance) consistently reported 0 at every timestamp until late evening/night.

Explanation: The only positive occupancy events occurred in the master_bedroom and entrance after 18:11 (evening), indicating family members were active elsewhere but not in the second bedroom.

Explanation: There are no logs indicating human presence (lights on, door movements, window adjustments) in the second bedroom that would contradict an occupancy reading of 0.

Explanation: The system behavior aligns with a scenario where the house was mostly empty or occupants chose to sleep in the master bedroom, making the sensor data normal rather than stuck.

[2026-06-25T00:00:00] ... [2026-06-25T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

Positive occupancy events only found in master_bedroom_occupancy (22:50) and entrance_occupancy (18:11)

No associated actuator events (light switches, contacts) for second_bedroom devices

[2026-06-25T07:23:25] front_door_lock | DoorLock.LockState = 2

[2026-06-25T07:23:31] front_door_lock | DoorLock.LockState = 1

[2026-06-25T16:26:00] front_door_lock | DoorLock.LockState = 2

Verify if the 'second_bedroom_occupancy' device has ever reported 'Occupancy = 1' in the full log history prior to this packet.

Check the raw binary payload or signal strength of the second_bedroom occupancy sensor to rule out radio silence or hardware failure vs. software stuck state.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1839,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 11,
    "living_room": 19,
    "master_bedroom": 15,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T07:23:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T07:23:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T16:26:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T22:50:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T07:23:25] fron

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The second_bedroom occupancy sensor is non-functional (stuck reporting empty) or the room was never occupied during the monitoring period.",
      "supported_by": [
        "[2026-06-25T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-25T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The house is currently empty, and the low activity count for second_bedroom is due to normal usage patterns.",
      "supported_by": [
        "Room activity counts are low across all rooms (max 26 in entrance).",
        "All other occupancy sensors report 0 at 00:00:00 and 00:30:00."
      ],
      "contradicted_by": [
        "If the household typically sleeps in second_bedroom, a lack of any movement events throughout the day would be suspicious given the 'focus_event_count' implies specific interest in anomalies."
      ]
    }
  ],
  "most_concerning_signals": [
    "Consistent 'Occupancy = 0' readings from second_bedroom_occupancy at multiple timestamps despite the system flagging this as an anomaly query.",
    "Lack of any state change events (e.g., door open/close, light toggle) specifically attributed to second_bedroom devices in the provided evidence packet."
  ],
  "what_to_verify_in_raw_log": [
    "Check if there were any timestamped events for 'second_bedroom_contact_sensor' or 'second_bedroom_dimmable_light' indicating human presence (e.g., lights turning on/off while someone is expected to be home).",
    "Verify if the 'second_bedroom_occupancy' device has ever reported 'Occupancy = 1' in the full log history pr


状态 vs 实际位置不一致

The second_bedroom window sensor is reporting a persistent hardware fault code (0b000010) immediately following a manual close command, indicating a failure to report status or a calibration error rather than normal operation.

Explanation: Log shows a manual 'DownOrClose' command issued to the second_bedroom_window at 21:54:00.

Explanation: Immediately after the command, and repeatedly in subsequent seconds (21:54:01, 21:54:30, 21:55:00), the sensor reports OperationalStatus = 0b000010.

Explanation: This specific binary flag indicates a hardware fault or calibration error, meaning the sensor cannot reliably confirm its position or state after being actuated.

Explanation: Unlike an occupancy sensor which consistently reports 'empty', this device's inability to transition to a healthy state after interaction constitutes a malfunction.

[2026-06-22T21:54:00] second_bedroom_window | Command: DownOrClose

Inspect the physical wiring and battery of the second_bedroom window sensor.

Attempt to recalibrate the sensor via the smart home app interface if supported.

Replace the sensor unit if recalibration fails to clear the 0b000010 fault code.

[2026-06-22T07:48:28] front_door_lock | DoorLock.LockState = 2

[2026-06-22T07:48:35] front_door_lock | DoorLock.LockState = 1

[2026-06-22T16:13:00] front_door_lock | DoorLock.LockState = 2

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "The second_bedroom occupancy sensor is functioning normally, reporting an empty state (0) consistent with the overall low activity count (14 events) for that room and the global midnight reset pattern.",
      "supported_by": ["room_activity.second_bedroom = 14", "[2026-06-22T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "The second_bedroom window sensor (second_bedroom_window) reports a specific fault code (OperationalStatus = 0b000010) multiple times in the evening, indicating a potential hardware failure or calibration error rather than normal operation.",
      "supported_by": ["[2026-06-22T21:54:01] second_bedroom_window | OperationalStatus = 0b000010", "[2026-06-22T21:54:30] second_bedroom_window | OperationalStatus = 0b000010", "[2026-06-22T21:55:00] second_bedroom_window | OperationalStatus = 0b000010"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T21:54:01] second_bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-22T21:54:30] second_bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-22T21:55:00] second_bedroom_window | OperationalStatus = 0b000010"
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw binary definition of 'OperationalStatus' for the second_bedroom_window device to confirm if 0b000010 maps to 'Hardware Fault', 'Battery Low', or 'Calibration Error'.",
    "Verify the voltage levels reported by the second_bedroom_window sensor during the 21:54 time window.",
    "Cross-reference with physical logs to see if the second_bedroom window was physically operated or tampered with during the event window."
  ],
  "provisional_risk": "low"
}
```

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1839,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 10,
    "living_room": 20,
    "master_bedroom": 16,
    "second_bedroom": 14,
    "bathroom": 10,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:48:28] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:48:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T16:13:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T22:11:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T07:48:28] fron

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "The second_bedroom occupancy sensor is functioning normally, reporting an empty state (0) consistent with the overall low activity count (14 events) for that room and the global midnight reset pattern.",
      "supported_by": ["room_activity.second_bedroom = 14", "[2026-06-22T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "The second_bedroom window sensor (second_bedroom_window) reports a specific fault code (OperationalStatus = 0b000010) multiple times in the evening, indicating a potential hardware failure or calibration error rather than normal operation.",
      "supported_by": ["[2026-06-22T21:54:01] second_bedroom_window | OperationalStatus = 0b000010", "[2026-06-22T21:54:30] second_bedroom_window | OperationalStatus = 0b000010", "[2026-06-22T21:55:00] second_bedroom_window | OperationalStatus = 0b000010"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T21:54:01] second_bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-22T21:54:30] second_bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-22T21:55:00] second_bedroom_window | OperationalStatus = 0b000010"
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw binary definition of 'OperationalStatus' for the second_bedroom_window device to confirm if 0b000010 maps to 'Hardware Fault', 'Battery Low', or 'Calibration Error'.",
    "Verify the voltage levels reported by the second_bedroom_window sensor during the 21:54 time window.",
    "Cross-reference with physical logs to see if the second_bedroom window was physically operated o