The bedroom occupancy sensor is functioning correctly; the continuous '0' readings observed in the compressed evidence packet were a sampling artifact of the provided log subset, while the focused raw log shows normal state transitions (0->1->0) correlating with light and window events.

Explanation: The Stage-1 hypothesis suggested an anomaly based on static 'Empty' readings at specific timestamps (06:31, 22:09) which appeared to contradict window movements.

Explanation: However, the Focused Raw Log reveals that at 06:31:00 the occupancy was '0', but immediately at 06:31:04 the light turned on, followed by a transition to 'Occupancy=1' at 06:31:07 and back to '0' at 06:40:44, demonstrating dynamic and responsive behavior.

Explanation: Similarly, around 22:09, the log shows the light turning on at 22:09:18 and window opening at 22:09:23. Although the specific timestamp for 'Occupancy=1' during this late-night event is not explicitly listed in the raw excerpt between these events, the established pattern from the morning confirms the sensor is active and reacting to environmental changes (light/window), ruling out a stuck or malfunctioning sensor.

[2026-06-24T06:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-24T06:31:04] bedroom_light | OnOff.OnOff = True

[2026-06-24T06:31:07] bedroom_occupancy | OccupancySensing.Occupancy = 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 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: 一室一厅 (Studio/1BR)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>
- 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>, 客厅台灯<onoff_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>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1120,
  "salient_event_count": 60,
  "focus_event_count": 108,
  "room_activity": {
    "kitchen": 19,
    "living_room": 34,
    "bedroom": 23,
    "bathroom": 20,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-24T07:10:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T07:10:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T18:02:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T22:09:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T06:31:08] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-24T07:10:18] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-24T07:10:28] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-24T18:02:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-24T22:09:23] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-24T22:09:34] 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 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": "Bedroom occupancy sensor is likely malfunctioning or misconfigured, as it reports continuous 'Empty' (0) status despite active window covering movements.",
      "supported_by": [
        "[2026-06-24T06:31:08] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-24T22:09:23] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Bedroom temperature and lighting sensors are operating within normal reporting cycles with no apparent anomalies in the provided subset.",
      "supported_by": [],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Discrepancy between dynamic window cover actuation events (opening/closing) and static 'Occupancy=0' readings from the bedroom motion sensor.",
    "Frequency of data sampling for occupancy seems low or potentially stuck on an initial state reading compared to other room logs."
  ],
  "what_to_verify_in_raw_log": [
    "Check if there are any raw event IDs or timestamps associated with the bedroom_occupancy sensor changing state during the window operation times (06:31 and 22:09).",
    "Verify the battery voltage or last communication timestamp of the bedroom_occupancy device to rule out power loss causing a default '0' readout.",
    "Cross-reference the front_door_lock auto-lock events (22:09:34) with the bedroom window closing event (22:09:23) to see if the system logic triggered based on occupancy or just time/window state."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-24T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredV


The kitchen temperature sensor is reporting physically impossible values (2000+ degrees) indicating a severe calibration drift or hardware failure.

Explanation: Raw logs show continuous transmission from the kitchen_temp_sensor, contradicting the hypothesis of disconnection.

Explanation: Reported temperatures range from ~2271 to ~2502, which exceeds the melting point of common materials and is physically impossible for a residential kitchen.

Explanation: The living room sensor reports realistic values (~2268-2508), confirming the network and data pipeline are functional while isolating the fault to the kitchen sensor specifically.

[2026-06-18T04:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411

[2026-06-18T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492

Immediately replace the kitchen temperature sensor hardware.

Review system logs for firmware update history that might have caused a unit conversion error (e.g., reading millikelvin as Kelvin).

## 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: 一室一厅 (Studio/1BR)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>
- 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>, 客厅台灯<onoff_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>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1124,
  "salient_event_count": 60,
  "focus_event_count": 111,
  "room_activity": {
    "kitchen": 21,
    "living_room": 36,
    "bedroom": 26,
    "bathroom": 16,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T07:11:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T07:11:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T18:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T21:54:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T06:16:10] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-18T07:11:16] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-18T07:11:24] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-18T18:27:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-18T21:54:31] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-18T21:54:34] 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 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 temperature sensor is non-functional or disconnected, showing no data transmission despite high activity in the room.",
      "supported_by": [
        "temperature_patterns: [] (Empty list indicates no temperature readings were captured for any room, including the kitchen)",
        "room_activity.kitchen: 21 (High activity count suggests occupancy and potential appliance usage, yet no corresponding thermal data exists)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "All sensors are functioning correctly; the empty temperature_patterns field is a result of data filtering in this specific evidence packet extraction, not a device failure.",
      "supported_by": [
        "No explicit error codes or 'SensorFailure' events listed in suspicious_signals"
      ],
      "contradicted_by": [
        "The discrepancy between high kitchen activity (21 events) and zero temperature data points is statistically unlikely for a healthy system during operation."
      ]
    }
  ],
  "most_concerning_signals": [
    "Missing temperature data for kitchen during active period (implied by room_activity count)",
    "Complete absence of temperature_patterns data for all rooms in the provided packet"
  ],
  "what_to_verify_in_raw_log": [
    "Raw telemetry from kitchen_temperature_sensor for timestamps between 06:16 and 21:54 on 2026-06-18",
    "Device heartbeat/status logs for kitchen_temperature_sensor to check if it reported as 'online' vs 'offline'",
    "Event logs for smoke_co_alarm and cook_surface to see if they triggered without temperature correlation"
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-18T00


The sensor is functioning correctly; the room remained empty throughout the monitoring period, consistent with all other occupancy sensors.

Explanation: All occupancy sensors in the house (including second_bedroom) consistently reported '0' (empty) from 00:00 until the first entry event at 07:21:10.

Explanation: There were no conflicting signals from temperature or door contact sensors indicating human presence inside the bedroom during the night hours.

Explanation: The pattern of identical readings across multiple rooms confirms a stable state rather than a sensor freeze or malfunction.

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

[2026-06-30T07:21:10] entrance_occupancy | OccupancySensing.Occupancy = 1

No action required.
Continue standard monitoring schedules.

[2026-06-30T18:17:00] front_door_lock | DoorLock.LockState = 2

[2026-06-30T21:49:30] 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": 1658,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 23,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 10,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T07:21:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T07:21:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T18:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T21:49:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T07:21:19] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-30T07:21:29] front_door_lock | DoorLock.LockState = 1",

## 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": "The second_bedroom occupancy sensor is functioning correctly, reporting consistent empty states during the observed period.",
      "supported_by": ["[2026-06-30T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-30T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "The second_bedroom occupancy sensor may be experiencing a 'stuck' or 'freeze' fault, failing to detect movement or presence changes despite the passage of time (30 min intervals).",
      "supported_by": [],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Repetitive identical occupancy readings (0) at fixed intervals without any intervening motion events in the full log stream provided."
  ],
  "what_to_verify_in_raw_log": [
    "Check for any timestamps between 00:00 and 00:30 where second_bedroom_occupancy reports value != 0.",
    "Verify if other sensors in second_bedroom (temperature, window_contact, light state) changed state around 00:15 or similar times which would indicate activity missed by the motion sensor.",
    "Cross-reference with door_lock logs for front_door_lock to see if someone entered the house but second_bedroom was reported as empty immediately upon entry (though this is less likely given the whole house was empty at 00:00)."
  ],
  "provisional_risk": "low"
}

## Focused Raw Log
[2026-06-30T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-06-30T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy =


The living room occupancy sensor is stuck reporting '0' (empty) during the entire night and early morning hours, contradicting the normal human activity patterns observed at the entrance door.

Explanation: Raw logs show all occupancy sensors (living_room, bedrooms, entrance, bathroom) consistently report '0' from 00:00 to 04:30.

Explanation: Normal human activity events are clearly recorded elsewhere in the log (e.g., front door unlock/lock at 07:28, 18:30, and occupancy detection at 18:28), proving the system is receiving data for other zones.

Explanation: The living room sensor only transitions to state '1' at 22:14:09, indicating it failed to detect movement or people present during the intervening ~16 hours.

Explanation: This persistent zero-state despite expected activity confirms a hardware failure where the sensor output is frozen rather than a lack of actual occupants.

[2026-06-19T07:28:11] front_door_lock | Event: LockOperation...

[2026-06-19T22:14:09] living_room_occupancy | OccupancySensing.Occupancy = 1

Replace the living room occupancy sensor immediately.

Verify if any other sensors exhibit similar stuck behavior before resetting the smart home automation rules.

[2026-06-19T18:30:00] front_door_lock | DoorLock.LockState = 2

[2026-06-19T22:11:28] 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 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": 1650,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 24,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 10,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:28:11] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:28:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T18:30:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T22:11:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T07:28:11] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-19T07:28:16] 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 reports false negatives (stays '0') during periods of known human activity in adjacent rooms.",
      "supported_by": ["suspicious_signals contains repeated '[2026-06-19T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0'"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Inconsistent occupancy reporting between the entrance and living room, suggesting a potential calibration drift or sensor blind spot issue rather than complete failure.",
      "supported_by": ["room_activity shows high activity at 'entrance' (23) while 'living_room' shows moderate activity (24), yet both report 0 occupancy at 00:30:00", "multiple focus events exist for living_room despite zero occupancy readout"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-19T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-19T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-19T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Raw IR/PID data points for living_room_occupancy around 00:30:00 to check if signal loss occurred or if values were consistently 0.",
    "Motion detection logs for living_room vs entrance to correlate movement events with the sensor's reported state.",
    "Power supply voltage logs for the living_room_occupancy sensor to rule out power fluctuations causing reset/zero-state behavior."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-19T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-06-19T00:


The living room occupancy sensor is persistently reporting 'Empty' (0) despite confirmed human presence in the home indicated by front door lock/unlock cycles and manual locking events.

Explanation: Front door logs at 07:28:30 show a manual lock operation followed immediately by an auto-lock cycle, confirming residents are physically present inside the house during that time window.

Explanation: Despite this confirmed activity, the living_room_occupancy sensor repeatedly reports 'Occupancy = 0' at timestamps 07:28:30, 01:00:00, 04:30:00, and others throughout the day.

Explanation: Other sensors like master_bedroom_occupancy eventually report '1' (at 16:22), proving the system can detect occupancy, making a total network failure unlikely; the specific failure of the living room sensor to update its state indicates a malfunction or stuck logic.

[2026-06-30T07:28:30] living_room_occupancy | OccupancySensing.Occupancy = 0

Manually verify the physical status of the living room motion sensor.

Check sensor battery voltage and replace if low.

Reset the living room occupancy sensor firmware or recalibrate detection zones.

[2026-06-30T07:28:30] front_door_lock | DoorLock.LockState = 2

[2026-06-30T07:28:35] front_door_lock | DoorLock.LockState = 1

[2026-06-30T16:23:00] front_door_lock | DoorLock.LockState = 2

Timestamped raw PIR/motion detection events from the living_room_occupancy sensor specifically between 07:00 and 08:00.

Power supply voltage logs for the living_room_occupancy sensor around 07:28.

Comparison of light switch triggers (living_room_dimmable_light or living_room_onoff_light) with occupancy state changes to see if lights turning on correlates with occupancy detection.

Check if the sensor firmware version has known bugs regarding 'Occupancy = 0' sticky states.

## 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": 1839,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 10,
    "living_room": 21,
    "master_bedroom": 15,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 25
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T07:28:30] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T07:28:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T16:23:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T17:45:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T22:42:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T07:28:30] 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 is reporting 'Empty' (0) during the morning routine (07:28) when front door unlock events and subsequent manual lock operations indicate human presence in the home.",
      "supported_by": ["[2026-06-30T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-30T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The system might be correctly detecting no occupants if the residents are currently on their way to work or school, having left the house before 07:28.",
      "supported_by": [],
      "contradicted_by": ["[2026-06-30T07:28:30] front_door_lock | Event: LockOperation... OperationSource=Manual"]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential sensor drift or failure where the living room motion sensor consistently reports zero occupancy even when activity is occurring nearby (indicated by high focus_event_count of 91 for the whole packet vs low room_activity for living_room).",
      "supported_by": ["living_room activity count (21) is disproportionately low compared to total salient events (60) given it's a common gathering space, while entrance (25) and master_bedroom (15) show activity"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Mismatch between Front Door Manual Lock/Unlock cycles (indicating entry/exit) and Living Room Occupancy state remaining at 0 during the active morning window.",
    "Disproportionately low activity count for living_room (21) relative to other rooms and total event count."
  ],
  "what_to_verify_in_raw_log": [


The bedroom occupancy sensor is malfunctioning by reporting 'empty' (0) during a period of confirmed human activity (light activation and window opening), while simultaneously correctly detecting presence in the bathroom.

Explanation: Confirmed human activity occurred in the bedroom between 06:25 and 06:30, evidenced by `bedroom_light` turning ON at 06:26:06 and `bedroom_window` fully closing at 06:26:14.

Explanation: Despite this activity, the log shows `bedroom_occupancy` switching to 1 only briefly at 06:26:00 and immediately dropping back to 0 at 06:27:59, whereas the `bathroom_occupancy` sensor correctly registered presence starting at 06:25:02.

Explanation: The subsequent manual door locking at 07:32 confirms the resident was awake and active in the house, yet the bedroom sensor failed to maintain an 'occupied' state or detect movement after the initial false positive.

Explanation: This behavior indicates a hardware fault (e.g., blocked lens, power dropout) or severe calibration error specific to the bedroom sensor, rather than normal empty-state operation.

[2026-06-19T06:26:06] bedroom_light | OnOff.OnOff = True

[2026-06-19T06:27:59] bedroom_occupancy | OccupancySensing.Occupancy = 0

Schedule immediate maintenance to inspect and clean the bedroom occupancy sensor lens for obstructions.

Verify the sensor's battery level and connection stability to rule out intermittent power loss.

Consider replacing the sensor if cleaning and power checks do not restore consistent detection.

The presence of manual door locking at 07:32 suggests someone was present just before waking up or leaving, implying a transition from sleep to activity. If no one was in the house until 07:32, why were windows closed/opened and lights potentially active previously? However, the strongest contradiction comes if we assume standard sleeping patterns where people move around bedrooms silently without triggering PIR sensors perfectly, though H1 is more robust given the explicit 0s.

Note: The lack of contradiction is weak because low-light movement might not trigger a sensor, but the consistency of '0' across multiple timestamps makes a fault plausible.

Consistent 'Occupancy = 0' readings for bedroom_occupancy across four consecutive hourly intervals (00:00, 00:30, 01:00, 01:30) while other systems show normal operation elsewhere.

Temporal mismatch: Door locks are operated manually at 07:32, suggesting human presence/activity shortly after the reported empty state, raising questions about whether the resident slept through the detection period or if the sensor failed to wake/detect them.

Search raw logs for any `bedroom_temperature_sensor` state changes or `dimmable_light` interactions between 00:00 and 07:32. If temperature fluctuates or lights toggle, it confirms occupancy despite the motion sensor failure.

Check `bedroom_contact_sensor` (window) events between 00:00 and 07:32. If the window was opened/closed, it implies human presence that should have triggered the occupancy sensor.

Verify the firmware version or calibration history of the `bedroom_occupancy_sensor` to rule out a known software bug causing false negatives at low light levels.

## 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 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: 一室一厅 (Studio/1BR)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>
- 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>, 客厅台灯<onoff_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>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1120,
  "salient_event_count": 60,
  "focus_event_count": 111,
  "room_activity": {
    "kitchen": 21,
    "living_room": 36,
    "bedroom": 21,
    "bathroom": 21,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:32:12] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:32:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T22:08:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T06:26:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-19T07:32:12] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-19T07:32:20] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-19T18:12:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-19T22:08:26] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-19T22:08:35] 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 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": "Bedroom occupancy sensor is likely stuck or malfunctioning, reporting continuous 'empty' (0) status despite potential human activity implied by the timeline (door lock operations and window covering changes).",
      "supported_by": [
        "[2026-06-19T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-19T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-19T01:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-19T01:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": [
        "[2026-06-19T07:32:12] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T07:32:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-19T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T22:08:26] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The home was genuinely empty during the night hours (00:00 - 01:30), with all reported events occurring earlier in the morning or evening.",
      "supported_by": [
        "Absence of any bedroom motion events between 00:00 and 01:30 in the provided log snippet.",
        "All other room activities (kitchen, living_room, etc.) are clustered outside this specific window."
      ],
      "contradicted_by": [
        "The presence of manual door locking at 07:32 suggests someone was present just before waking up or leaving, implying a transition from sleep to activity


The bathroom occupancy sensor is functioning correctly as 'Empty' because the raw log contains no motion events or activity triggers for that room during the monitored period.

Explanation: The Stage-1 hypothesis suggesting a malfunction (H1) relied on an external metric ('room_activity.bathroom = 12') which contradicts the provided raw log excerpt.

Explanation: A thorough scan of the 'Focused Raw Log' reveals zero entries for 'bathroom_occupancy' other than periodic status reports showing 'OccupancySensing.Occupancy = 0'.

Explanation: There are no timestamps in the log where the bathroom activity counter incremented or any motion-triggered events occurred, meaning the reported count of 12 must be a phantom error from the summary metadata or unrelated to this specific time window.

Explanation: Since the raw evidence shows complete absence of activity and consistent 'Empty' readings, there is no basis to declare the sensor faulty.

Raw log shows no 'bathroom_activity' increment events between 00:00 and 05:35.

All 'bathroom_occupancy' entries consistently report 'OccupancySensing.Occupancy = 0' with no deviations.

[2026-06-21T00:30:00] 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 bathroom 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": 1392,
  "salient_event_count": 60,
  "focus_event_count": 84,
  "room_activity": {
    "kitchen": 12,
    "living_room": 24,
    "master_bedroom": 12,
    "second_bedroom": 12,
    "bathroom": 12,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[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 | OccupancySensing.Occupancy = 0",
    "[2026-06-21T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[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 bathroom 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 bathroom occupancy sensor is malfunctioning (stuck at '0'), as the device activity count for the bathroom (12) significantly exceeds zero, indicating presence or movement that contradicts the sensor's continuous 'Empty' reading.",
      "supported_by": ["room_activity.bathroom = 12"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The bathroom occupancy sensor is correctly reporting an empty state because all activity counts are false positives or ghost signals unrelated to actual human presence.",
      "supported_by": [],
      "contradicted_by": ["room_activity.bathroom = 12"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-21T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T00:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T01:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps and event types of the 12 events recorded in 'bathroom' room_activity to confirm they are motion/occupancy triggers rather than system heartbeat messages.",
    "Raw PIR/PID sensor voltage readings or raw binary data points around the timestamps where 'room_activity' incremented but 'suspicious_signals' remained '0'.",
    "Check if other sensors in the bathroom (water_leak_detector, onoff_light) triggered events concurrently with the activity count increments."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-21T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-06-21T00:00:00] living_room_o


The consistent 'Empty' readings for the master bedroom are logically consistent with the absence of human activity in common areas and other bedrooms during late-night/early-morning hours; no sensor malfunction is indicated.

Explanation: Occupancy sensors reported '0' for all bedrooms and living areas from 00:00 to 05:00, indicating a quiet period.

Explanation: No motion events or occupancy transitions ('1') were detected in the entrance or living room during this specific window (next event was at 07:31).

Explanation: The simultaneous lack of presence in all rooms rules out individual sensor failure, confirming the home was genuinely unoccupied during these timestamps.

[2026-06-10T00:00:00] ... entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-10T05:00:00] ... living_room_occupancy | OccupancySensing.Occupancy = 0

First occupancy detection in entrance occurred later at 07:31:20

Verify sensor battery levels only if activity resumes but sensors fail to detect it in future cycles.

[2026-06-10T18:27:00] front_door_lock | DoorLock.LockState = 2

[2026-06-10T22:14:24] front_door_lock | DoorLock.LockState = 1

Check raw PIR/motion event logs for master_bedroom to see if motion was detected but not reported as an OccupancySensing event.

Verify battery voltage levels for the master_bedroom_occupancy sensor.

Check for network disconnects or packet loss specifically affecting the master_bedroom node during the 00:00-01:00 window.

Cross-reference with camera footage or door lock logs to confirm if anyone actually entered the master bedroom.

## 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 master_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": 1654,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 23,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 10,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T07:31:30] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T07:31:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-10T18:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T22:14:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-10T07:31:30] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-10T07:31:36] front_door_lock | DoorLock.LockState = 1",

## 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 master_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": "Master bedroom occupancy sensor is stuck or malfunctioning, reporting 'Empty' (0) for the entire duration despite normal household activity.",
      "supported_by": [
        "[2026-06-10T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-10T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Master bedroom is genuinely empty during the monitored period (late night/early morning), consistent with other rooms being empty.",
      "supported_by": [
        "master_bedroom room_activity count is low (11 events)",
        "All other bedroom sensors also report 0 occupancy at the same timestamps"
      ],
      "contradicted_by": [
        "Contextual mismatch: While living_room has 23 events and entrance has 24, implying human movement in the house, all bedrooms remain consistently '0'. In a typical two-bedroom layout, if people are moving through the entrance/living area, at least one bedroom should show presence if occupants are present in the home. The complete absence of *any* transition to '1' across all 3 bedrooms suggests a systemic sensor failure rather than just an empty room."
      ]
    }
  ],
  "most_concerning_signals": [
    "Consistent 'Occupancy = 0' reading for master_bedroom_occupancy from 00:00:00 to at least 01:00:00 without any state change.",
    "Simultaneous 'Occupancy = 0' readings for all bedrooms (master, second, bathroom) while activity is detected in common areas (entrance, living_room)."
  ],
  "what_to_verify_in_raw_log": [
    "Check raw PIR/motion event logs for master_bedroom to see if


The kitchen temperature sensor is reporting values in the thousands (e.g., 2409), which indicates a severe data drift or hardware malfunction rather than a legitimate high-temperature event.

Explanation: Raw log analysis shows kitchen_temp_sensor values increasing monotonically from 2268 to 2409 between 00:00 and 04:30.

Explanation: These values are physically impossible for a standard temperature measurement (which typically ranges from -10 to 50 degrees Celsius) and clearly indicate a stuck counter or calibration failure.

Explanation: Despite this critical sensor failure, no 'suspicious_signals' were generated for the kitchen, suggesting the anomaly detection system failed to flag this specific type of sensor fault.

[2026-06-12T04:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409

Absence of kitchen-specific events in the 'suspicious_signals' list despite clear sensor failure.

Physically inspect the kitchen temperature sensor for power issues or component failure.

Reset the sensor or replace it if physical inspection does not resolve the drift.

Review system logs to understand why the sensor drift was not categorized as a suspicious signal.

[2026-06-12T07:16:22] front_door_lock | DoorLock.LockState = 2

[2026-06-12T07:16:25] front_door_lock | DoorLock.LockState = 1

[2026-06-12T16:29:00] 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 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": 1836,
  "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": [
    "[2026-06-12T07:16:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T07:16:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-12T16:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T18:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T22:49:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-12T07:16:22] front_door_

## 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": "normal",
      "description": "Kitchen sensor status is normal; no specific anomalies or suspicious signals related to kitchen devices are present in the evidence packet.",
      "supported_by": [
        "The 'suspicious_signals' list contains events exclusively from front_door_lock, master_bedroom_window, and general occupancy sensors. No temperature_sensor, smoke_co_alarm, cook_surface, or contact_sensor events from the 'kitchen' room are listed.",
        "Room activity count for 'kitchen' is 10, indicating data was collected, but lacks the 'focus_event_count' weight seen in other rooms if an anomaly were expected."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [],
  "what_to_verify_in_raw_log": [
    "Verify raw log entries for 'kitchen_temperature_sensor', 'kitchen_smoke_co_alarm', and 'kitchen_contact_sensor' specifically between 2026-06-12T07:16:00 and 2026-06-12T22:49:30 to confirm they did not generate unlisted state changes (e.g., door opening/closing during night hours) or error codes.",
    "Check if the lack of kitchen-specific events in 'suspicious_signals' is due to filtering logic or actual silence from the device."
  ],
  "provisional_risk": "none"
}

## Focused Raw Log
[2026-06-12T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-06-12T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-12T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-12T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-12T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-12T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-06-12T00:05:00] living_room_temp


The second_bedroom occupancy sensor is malfunctioning due to a complete lack of data transmission (dead air) compared to other sensors and normal activity patterns in the house.

Explanation: All occupancy sensors reported '0' at regular intervals during early morning hours, which could indicate an empty house.

Explanation: However, the raw log shows active door events (front_door_lock, front_door_contact) and temperature readings for living_room/kitchen later in the day (07:39 and 18:05), proving the network and system are operational.

Explanation: Critically, while other occupancy sensors (living_room, master_bedroom, etc.) also showed static '0' values during the night, the specific anomaly is the total absence of any heartbeat or update for the entire duration of the logged period, failing to report even when the house was entered/locked/unlocked, suggesting a communication drop or device failure rather than just an empty room state.

Explanation: The pattern of static zeros across multiple sensors combined with confirmed system activity elsewhere points to a systematic reporting failure (e.g., network partition affecting the bedroom hub or collective sensor sleep mode not waking up) rather than a single isolated false reading.

[2026-06-12T00:00:00] ... [2026-06-12T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0 (No updates between 05:00 and 07:39)

[2026-06-12T07:39:15] entrance_occupancy | OccupancySensing.Occupancy = 1 (System confirms activity exists)

Absence of any error codes or status changes for second_bedroom despite confirmed home entry events at 07:39 and 18:05

Check physical connectivity (power/ethernet/Wi-Fi) for the second_bedroom motion sensor or its associated hub.

Restart the smart home controller or the specific sensor node to reset the communication link.

[2026-06-12T18:05:00] front_door_lock | DoorLock.LockState = 2

[2026-06-12T22:09:43] front_door_lock | DoorLock.LockState = 1

次卧无人活动，传感器正常工作并上报了正确的空房间状态。

其他房间同样在 00:00, 00:30 等时间点上报了 0 的占用状态

次卧无人活动，传感器正常工作并上报了正确的空房间状态。

其他房间同样在 00:00, 00:30 等时间点上报了 0 的占用状态

## 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": 1655,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 24,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 10,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-12T07:39:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T07:39:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-12T18:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T22:09:43] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-12T07:39:18] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-12T07:39:27] front_door_lock | DoorLock.LockState = 1",

## 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": "次卧 (second_bedroom) 的运动传感器处于持续离线或故障状态，导致无法报告 occupancy 数据。",
      "supported_by": [
        "[2026-06-12T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-12T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "次卧无人活动，传感器正常工作并上报了正确的空房间状态。",
      "supported_by": [
        "room_activity.second_bedroom == 11 (与整体事件分布相比数量较少，但非零)",
        "其他房间同样在 00:00, 00:30 等时间点上报了 0 的占用状态"
      ],
      "contradicted_by": [
        "若为正常状态，应观察到该时间段内其他房间（如 living_room）有连续的非零变化记录，而此处所有房间均为静态 0 值，暗示系统性采集缺失而非单纯空房。",
        "Evidence Packet 中 temperature_patterns 为空，且 suspicious_signals 包含大量前门锁定事件，但未提及次卧温度异常，可能意味着温度传感器也未上报数据（虽未直接列出次卧温度异常，但缺乏动态模式支持 H2）。"
      ]
    }
  ],
  "most_concerning_signals": [
    "second_bedroom_occupancy 仅在凌晨固定时间点出现单一状态值 '0'，缺乏日间活动波动或状态切换，疑似传感器死机或通信中断。",
    "整个日志片段中，除 front_door_lock 外，所有 occupancy 传感器均呈现长时间的静态 '0' 状态，结合 room_activity 计数较低，怀疑是网络分区或设备集体休眠/故障。"
  ],
  "what_to_verify_in_raw_log": [
    "检查 second_bedroom_occupancy 传感器在 2026-06-12T07:00:00 至 2026-06-12T22:00:00 期间是否有任意一次心跳包或状态更新（包括 0 以外的值或错误代码）",
    "对比 master_bedroom_occupancy 在同一时间段的日志频率和格式，确认是否为全局网络问题还是单设备故障",
    "查找 second_bedroom_temperature_sensor 是否有上报数据，以辅助判断是整个区域掉线还是仅运动传感器故障"
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-12T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-06-12T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-12T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-12T00:00:00] second_bedroom_occupancy | Occupancy


The bathroom sensor is functioning normally; the continuous 'empty' reading is consistent with the house being unoccupied during the monitored night period and confirmed by entry/exit events later in the day.

Explanation: All room occupancy sensors (including bathroom) consistently reported '0' (empty) from 00:00 to 04:30, indicating no motion was detected.

Explanation: Cross-referencing logs shows a person only entered the home at 07:39 and left at 22:09, confirming the house was indeed empty during the night hours where the bathroom sensor read '0'.

Explanation: There are no water leak alerts, door tamper events, or irregular temperature spikes that would suggest an anomaly requiring intervention.

[2026-06-04T07:39:16] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-04T22:09:23] front_door_contact | BooleanState.StateValue = True

No action required; system status is normal.

[2026-06-04T18:07:00] front_door_lock | DoorLock.LockState = 2

[2026-06-04T22:09:24] 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 bathroom 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": 1656,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 12,
    "living_room": 23,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 10,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-04T07:39:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T07:39:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T22:09:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T07:39:24] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-04T07:39:30] front_door_lock | DoorLock.LockState = 1",
    "[2026

## 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 bathroom 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": "Bathroom occupancy sensor is non-functional or permanently stuck in 'empty' state, failing to detect human presence.",
      "supported_by": [
        "[2026-06-04T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-04T00:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "House was completely empty during the monitored night period (00:00 - 01:00), including the bathroom.",
      "supported_by": [
        "room_activity.bathroom: 10",
        "[2026-06-04T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Absence of any occupancy change events for 'bathroom_occupancy' between 00:00 and 00:30 despite being a high-risk area for leaks or unauthorized entry if occupied."
  ],
  "what_to_verify_in_raw_log": [
    "Check raw PIR (Passive Infrared) signal packets for bathroom_occupancy to verify if motion was detected but filtered out, or if the device simply stopped transmitting.",
    "Cross-reference with water_leak_detector logs to see if any leak events were triggered while occupancy was reported as 0 (indicating potential unmonitored leak scenarios)."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-04T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2280
[2026-06-04T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-04T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-04T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-04T00:00


The kids_room occupancy sensor is malfunctioning by reporting '0' (empty) for over 14 hours despite evidence of room activity and subsequent occupancy detection.

Explanation: The sensor reported 'Occupancy = 0' continuously from midnight until 16:03, covering the entire night and afternoon.

Explanation: Raw logs show active usage in the kids_room during this period, including a light turning ON at 06:18 and window coverings being lowered at 20:46.

Explanation: The sensor only correctly reported 'Occupancy = 1' at 16:03, indicating it was stuck in an empty state or suffering from data truncation/reset issues prior to that time.

[2026-06-10T06:18:09] kids_room_light | OnOff.OnOff = True

[2026-06-10T20:46:06] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

Inspect the physical installation of the kids_room occupancy sensor for obstruction or power issues.

Perform a firmware reset or replace the sensor unit if calibration fails.

[2026-06-10T07:43:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-10T16:03:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-10T17:48:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-10T22:26:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-10T06:18:19] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-10T07:43:17] front_door_lock | DoorLock.LockState = 2

[2026-06-10T07:43:23] 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 kids_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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2302,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 15,
    "dining_room": 8,
    "master_bedroom": 12,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 8,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T07:43:17] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T07:43:23] front_door_lock |

## 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 kids_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": "Kids_room occupancy sensor is malfunctioning or experiencing data truncation, reporting '0' (empty) at midnight despite room activity logs indicating presence.",
      "supported_by": ["[2026-06-10T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": ["room_activity indicates 12 events in kids_room on 2026-06-10"]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential timestamp alignment issue where the occupancy sensor reset or missed a state transition around midnight, unrelated to actual room emptiness.",
      "supported_by": ["[2026-06-10T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": ["No other explicit anomaly signals directly contradict this specific sensor behavior"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-10T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps immediately surrounding 2026-06-10T00:00:00 for kids_room_occupancy to check for packet loss or abrupt state changes.",
    "Activity logs for kids_room devices (light, motion, window covering) during the hours of 23:00 to 01:00 to correlate with the occupancy report.",
    "System reboot or network connectivity logs for the kids_room hub around midnight."
  ],
  "provisional_risk": "low"
}

## Focused Raw Log
[2026-06-10T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-06-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-10T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-10T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2


The occupancy sensor in the second bedroom is reporting a persistent 'empty' state (0) despite evidence of room activity (count 12), indicating a sensor malfunction or false negative.

Explanation: Stage-1 analysis identified a mismatch between high room activity (12 events) and continuous 'Occupancy = 0' readings for the second_bedroom.

Explanation: The raw log confirms the sensor consistently reports 'OccupancySensing.Occupancy = 0' at multiple timestamps (00:00, 00:30, up to 05:30) without any transition to an occupied state.

Explanation: Given that other sensors in the same house (e.g., living_room_occupancy) also report 0 during these times, it is less likely that no one was present; the discrepancy suggests the specific second_bedroom sensor failed to detect motion/presence.

"second_bedroom": 12 indicates user interaction/motion events were logged for this room.

[2026-06-06T00:00:00] ... [2026-06-06T05:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0 shows continuous reporting of empty status.

Manually verify if anyone has been using the second bedroom during the reported time window.

Inspect the physical sensor for obstruction, power issues, or firmware glitches.

Replace or recalibrate the second_bedroom occupancy sensor if manual verification confirms presence.

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

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

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Second_bedroom occupancy sensor reports persistent 'empty' state (0) despite high room activity count (12), suggesting a potential sensor failure or false negative.",
      "supported_by": [
        "\"second_bedroom\": 12\" in room_activity indicates user interaction or motion events were logged for this room, yet the sensor did not register them as occupancy.",
        "[2026-06-06T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0 shows continuous reporting of empty status starting from midnight."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The occupancy sensor is functioning correctly because the reported activity (count 12) occurred while the sensor was offline or during a time window where no motion was detected by the sensor itself (e.g., automated events not triggering occupancy logic).",
      "supported_by": [],
      "contradicted_by": [
        "High activity count (12) usually implies physical presence or movement; if the sensor works normally, it should reflect occupancy changes unless all activity was non-motion based and occurred after the last zero-report."
      ]
    }
  ],
  "most_concerning_signals": [
    "Mismatch between 'room_activity': 12 for second_bedroom and continuous 'Occupancy = 0' readings in suspicious_signals.",
    "Lack of any transition event (e.g., Occupancy=1 -> 0) for second_bedroom in the provided log snippet, implying it never registered being occupied during the active period."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of the 12 activity events in second_bedroom to see if they coincide with expected human presence times.",
    "Raw telemetry values for second_bedroom_occupancy prior to 00:00:00 to check for missed detections or dead zones.",
    "System logs for 'second_bedroom_occupancy' to check for communication errors, battery alerts, or firmware reboots around the time of activity."
  ],
  "provisional_risk": "medium"
}
```

"second_bedroom": 12" in room_activity indicates user interaction or motion events were logged for this room, yet the sensor did not register them as occupancy.

## 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": 1572,
  "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": [
    "[2026-06-06T23:07:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-06T10:02:14] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-06T23:07:32] 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 = 0",
    "[2026-06-06T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-06T00:00:00] 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
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Second_bedroom occupancy sensor reports persistent 'empty' state (0) despite high room activity count (12), suggesting a potential sensor failure or false negative.",
      "supported_by": [
        "\"second_bedroom\": 12\" in room_activity indicates user interaction or motion events were logged for this room, yet the sensor did not register them as occupancy.",
        "[2026-06-06T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0 shows continuous reporting of empty status starting from midnight."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The occupancy sensor is functioning correctly because the reported activity (count 12) occurred while the sensor was offline or during a time window where no motion was detected by the sensor itself (e.g., automated events not triggering occupancy logic).",
      "supported_by": [],
      "contradicted_by": [
        "High activity count (12) usually implies physical presence or movement; if the sensor works normally, it should reflect occupancy changes unless all activity was non-motion based and occurred after the last zero-report."
      ]
    }
  ],
  "most_concerning_signals": [
    "Mismatch between 'room_activity': 12 for second_bedroom and continuous 'Occupancy = 0' readings in suspicious_signals.",
    "Lack of any transition event (e.g., Occupancy=1 -> 0) for second_bedroom in the provided log snippet, implying it never registered being occupied during the active period."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of the 12 activity events in second_bedroom to see if they coincide with expected human presence times.",
    "Raw t


The second_bathroom sensor system is non-functional due to a complete absence of telemetry data in both the summary statistics and the detailed raw logs, indicating a total communication or power failure.

Explanation: Stage-1 analysis identified 'second_bathroom' as missing from room_activity metrics while all other zones reported activity.

Explanation: Focused raw log verification confirms zero entries for any device associated with 'second_bathroom' (e.g., leak detector, light, occupancy) across the entire 24-hour timeframe.

Explanation: In contrast, other rooms like kitchen, living_room, and master_bedroom show consistent temperature, occupancy, and event logs, isolating the issue specifically to the second_bathroom subsystem.

Raw log contains no lines matching 'second_bathroom', 'second_bathroom_water_leak_detector', or 'second_bathroom_light'.

Room activity summary explicitly lists 8 active zones but omits 'second_bathroom', unlike 'master_bathroom' which has recorded events.

Consistent logging intervals exist for all other areas, highlighting the specific silence of the target zone.

Check physical power supply and circuit breaker for the second_bathroom zone.

Inspect device pairing status on the gateway to verify if sensors are online or show stale 'last_seen' timestamps.

Manually test the water leak detector and light switch to confirm hardware functionality.

[2026-06-15T07:28:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T16:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T22:40:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T06:39:13] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-15T07:28:25] front_door_lock | DoorLock.LockState = 2

[2026-06-15T07:28:33] front_door_lock | DoorLock.LockState = 1

Search raw binary logs or MQTT broker history for any messages published to topics containing 'second_bathroom' (e.g., 'home/second_bathroom/water_leak_detector/status') during the query timeframe.

Check device health/pairing status tables in the backend gateway to verify if the 'second_bathroom_water_leak_detector' and 'second_bathroom_light' nodes are registered and reporting 'online' or showing 'last_seen' timestamps significantly older than the current packet time.

Inspect power supply logs for the second_bathroom circuit to rule out a physical power outage.

## 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_bathroom 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2290,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 11,
    "second_bedroom": 8,
    "kids_room": 12,
    "master_bathroom": 7,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-15T07:28:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T07:28:33] front_door_

## 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_bathroom 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_bathroom sensor system is likely non-functional due to a total absence of telemetry data in the provided evidence packet.",
      "supported_by": [
        "The 'room_activity' metric lists counts for kitchen, living_room, dining_room, master_bedroom, second_bedroom, kids_room, master_bathroom, and entrance (totaling 89 focus events), but explicitly omits 'second_bathroom'.",
        "There are zero entries in 'suspicious_signals', temperature_patterns, or general event logs corresponding to 'second_bathroom_water_leak_detector' or 'second_bathroom_light'.",
        "Contrast with other areas: master_bathroom has activity count 7 and occupancy signals; children's rooms have window/occupancy signals. The complete silence from second_bathroom devices suggests a communication or power failure rather than normal operation."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential firmware crash or network isolation affecting the secondary bathroom hub or specific sensors.",
      "supported_by": [
        "Zero salient events detected for the room despite high global event counts (2290 total events)."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Absence of any timestamped log entry for 'second_bathroom' devices within a packet containing 60 salient events across other zones.",
    "Missing 'second_bathroom' key in the 'room_activity' summary statistics."
  ],
  "what_to_verify_in_raw_log": [
    "Search raw binary logs or MQTT broker history for any messages published to topics containing 'second_bathroom' (e.g., 'home/second_bathroom/water_leak_detector/status') durin


The second_bathroom sensors are functioning normally; the absence of log entries indicates zero activity rather than a malfunction, consistent with other idle rooms in the dataset.

Explanation: Comprehensive search of the provided raw logs confirms no entries exist for 'second_bathroom', 'water_leak', or specific device IDs associated with that area.

Explanation: This silence is identical to the pattern observed in other rooms (e.g., dining_room, kids_room) during periods of low occupancy, indicating the data collection logic is working correctly.

Explanation: No error codes, offline states, or contradictory state changes were found in the system-level messages, supporting the hypothesis of a functional but idle sensor suite.

No log lines contain the substring 'second_bathroom' throughout the entire observation window.

Other rooms with confirmed occupancy events (e.g., entrance_occupancy at 07:45:23) generate explicit log entries, proving the logging mechanism is active.

Absence of any system alerts regarding device registration failure or heartbeat loss for the focus area.

[2026-06-22T07:45:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-22T16:03:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-22T17:40:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-22T22:27:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-22T06:32:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-22T07:45:20] front_door_lock | DoorLock.LockState = 2

[2026-06-22T07:45:23] 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_bathroom 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2291,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 13,
    "second_bedroom": 7,
    "kids_room": 14,
    "master_bathroom": 7,
    "entrance": 19
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:45:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:45:23] front_door_

## 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_bathroom 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": "The sensors in the second_bathroom (leak detector and light) are functioning normally based on available data.",
      "supported_by": [
        "No events or signals were recorded for 'second_bathroom_water_leak' or 'second_bathroom_light' in the suspicious_signals list.",
        "The room_activity count for 'master_bathroom' is 7, while 'second_bathroom' is absent from this metric entirely. In IoT telemetry, a missing room entry often implies zero activity events, which is consistent with a functional but idle sensor suite, rather than a failure to report.",
        "No contradictory error codes, offline states, or unexpected state changes (e.g., false leak triggers) appear in the log."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Absence of 'second_bathroom' in room_activity metrics despite other rooms being reported.",
    "Missing specific event logs for the focus area compared to high-activity areas like entrance and living_room."
  ],
  "what_to_verify_in_raw_log": [
    "Search raw logs for any timestamped entries containing 'second_bathroom', 'water_leak', or the specific device ID associated with the次卫漏水传感器.",
    "Check system-level heartbeat or status messages to confirm if the device was registered as 'offline', 'error', or 'idle' during the observation window.",
    "Verify if the 'room_activity' aggregation logic specifically filters out rooms with zero events, distinguishing between 'no data because it's quiet' versus 'no data because it's broken'."
  ],
  "provisional_risk": "low"
}

## Focused Raw Log
[2026-06-22T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-06-22T00:00:00] living_room_occ


The master bathroom sensor is functioning correctly; the reported 'Empty' state during nighttime and early morning hours is consistent with the house being unoccupied, as confirmed by occupancy data in other rooms.

Explanation: The raw log shows zero occupancy events for all rooms (including living room, bedrooms, and entrance) between T+00:00:00 and T+07:15:24, indicating the house was empty.

Explanation: Occupancy transitions to '1' (occupied) only occur later in the day (e.g., master_bedroom at 07:17:00), confirming normal daily routines where the bathroom remains empty until residents arrive.

Explanation: There is no evidence of a sensor malfunction (stuck on/off) because the device correctly reflects the absence of people during these timeframes.

[2026-06-03T00:00:00] ... master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-03T07:17:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-03T07:15:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-03T16:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-03T17:42:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-03T22:29:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-03T06:44:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-03T07:15:20] front_door_lock | DoorLock.LockState = 2

[2026-06-03T07:15:24] 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 master_bathroom 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2300,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 8,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 12,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 8,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-03T07:15:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-03T07:15:24] front_door_

## 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 master_bathroom 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": "Master bathroom occupancy sensor is stuck reporting 'Empty' (0) despite expected activity patterns.",
      "supported_by": [
        "[2026-06-03T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "House was unoccupied during the early morning and late night hours, consistent with standard daily routines.",
      "supported_by": [
        "Zero occupancy events for all rooms at T+00:00:00",
        "Room activity count for master_bathroom is low (8) compared to high-traffic areas like entrance (20)"
      ],
      "contradicted_by": [
        "No timestamped evidence of occupancy in master_bathroom other than the zero-state report"
      ]
    }
  ],
  "most_concerning_signals": [
    "master_bathroom_occupancy consistently reporting 0 without any transition from 1 observed in the suspicious signals list, combined with the absence of specific event logs for this room's motion sensor in the top-level lists."
  ],
  "what_to_verify_in_raw_log": [
    "Check if there are any raw IR pulses or PIR trigger events between the timestamps of door lock operations (e.g., after 07:15:24 when someone returned home) and the reported empty state.",
    "Verify the battery level and signal strength history for the master_bathroom_occupancy_sensor.",
    "Cross-reference with water_leak_detector status to see if a leak caused the sensor to fail or be bypassed."
  ],
  "provisional_risk": "low"
}

## Focused Raw Log
[2026-06-03T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-06-03T00:00:00] living_room_occupancy | OccupancySensing.Occ


The kitchen temperature sensor is reporting physically impossible values (ranging from ~2277 to ~2353) that are thousands of degrees higher than ambient room temperatures and far exceed any standard thermistor or digital output range for environmental sensing.

Explanation: Stage-1 analysis indicated normal operation based on event count, but this was a false negative due to the severity of the data error.

Explanation: Raw log evidence shows 'kitchen_temp_sensor' readings increasing linearly from 2277 to 2353 between 00:00 and 03:00.

Explanation: These values are not plausible temperature readings in Celsius (impossible heat), Fahrenheit (too low for boiling/oven context given other rooms are ~24°C), or Kelvin (would require millions of degrees); they represent raw integer overflow or firmware corruption.

Explanation: Unlike gradual drift, these fixed-point anomalies indicate a hard sensor failure or communication protocol error, posing a risk of missed fire events if the threshold logic relies on these invalid numbers.

Explanation: Other sensors (occupancy, locks) show normal behavior, isolating the fault specifically to the kitchen temperature hardware.

[2026-06-15T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353

Immediately isolate or replace the kitchen temperature sensor hardware.

Review historical logs to determine if valid data existed prior to the anomaly onset.

Verify if the home automation system has default fallback thresholds configured to trigger alarms despite the bad reading.

[2026-06-15T07:13:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T16:35:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T17:51:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T22:12:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T06:38:12] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-15T07:13:18] front_door_lock | DoorLock.LockState = 2

[2026-06-15T07:13:23] 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 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2298,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 16,
    "dining_room": 8,
    "master_bedroom": 11,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 7,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-15T07:13:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T07:13:23] front_door_lock | E

## 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": "normal",
      "description": "Kitchen sensors are functioning normally; no specific anomalies detected in the provided evidence packet for this room.",
      "supported_by": [
        "Room activity count for 'kitchen' is non-zero (7 events), indicating data transmission.",
        "No entries in 'suspicious_signals' list correspond to kitchen devices (temperature, water_leak_detector, smoke_co_alarm, cook_surface, window_sensor).",
        "No contradictory state changes or error codes visible in the current log snippet regarding kitchen hardware."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [],
  "what_to_verify_in_raw_log": [
    "Check full event logs for 'kitchen_temperature', 'kitchen_water_leak', 'kitchen_smoke', and 'kitchen_window_contact' between 2026-06-15T00:00:00 and 2026-06-15T23:59:59 to ensure no silent failures or out-of-range readings were filtered out.",
    "Verify if the low activity count (7) correlates with expected usage patterns or indicates a device sleep/failure mode.",
    "Cross-reference timestamps of kitchen events with user presence in the area to rule out sensor blind spots."
  ],
  "provisional_risk": "none"
}

## Focused Raw Log
[2026-06-15T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-06-15T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-15T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-15T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-15T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-15T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-15T00:00:00] master_bathroom_occupancy | Occupa