DF-05-FP: 烟雾报警器正常自检

有完整的自检流程（TestInProgress=true → SelfTestComplete → TestInProgress=false），不是HardwareFault

The kitchen temperature sensor is functioning normally with consistent reporting intervals, realistic values, and no signs of being stuck or drifting abnormally compared to peer sensors.

Explanation: The sensor reports values every 5 minutes in both provided time windows (C00 and C13), matching the expected behavior of other room sensors.

Explanation: Temperature readings remain within a realistic residential range (~22.6°C to ~23.4°C) and show gradual thermal drift correlated with other sensors (e.g., living_room_temp_sensor).

Explanation: No impossible state transitions or 'stuck' values were observed; notably, the sensor updated its value immediately following the kitchen smoke alarm self-test event, confirming communication integrity.

Explanation: Matter Notes clarify that scaled temperature values alone do not constitute fault evidence without accompanying anomalies like static values or out-of-range spikes, neither of which are present here.

Consistent 5-minute update interval for kitchen_temp_sensor throughout the log duration.

Thermal correlation: Kitchen sensor follows the same drift pattern as master_bedroom and living_room sensors (e.g., rise from 22.68°C to 23.04°C in C00).

Recovery after event: Sensor updated successfully at 18:45:00 despite concurrent SmokeCoAlarm.TestInProgress event on the nearby device.

Correlated thermal drift: In C00, all sensors show a gradual rise from ~22.68°C to ~23.13°C. The kitchen sensor follows this trend closely (22.68 -> 23.04), differing by only ~0.1°C from neighbors at peak times.

No impossible states: Values remain within a realistic residential range (approx. 22.6°C - 23.4°C) without sudden jumps or stuck values.

Recovery after event: Following the smoke alarm self-test in C13, the kitchen temperature reading resumes normal fluctuation patterns rather than staying static.

Minor variance: At 18:00, the kitchen reads 23.25°C while living room reads 23.28°C; however, this difference falls well within expected environmental variation for adjacent rooms or sensor tolerance.

All temperature sensors across all rooms report values within a tight cluster (±0.15°C of each other) during steady-state periods.

The kitchen sensor successfully updates its value immediately following the SmokeCoAlarm.TestInProgress event, ruling out a communication or power fault.

No evidence of 'stuck' values (repeated identical readings over time) or rapid, unexplained spikes that would indicate hardware failure.

Historical baseline data from previous days to definitively rule out seasonal drift or calibration shifts not present in the current window.

The investigator correctly interpreted the raw values (e.g., 2466 -> 24.66C) and identified normal operation based on consistent reporting intervals and correlated thermal drift across all sensors.

The analysis properly distinguished between the kitchen smoke alarm event (which is a separate device) and the temperature sensor performance, noting that the temp sensor continued to update normally during the self-test.

No impossible state transitions or stuck values were found in the provided logs for the kitchen temperature sensor. The evidence supports the conclusion that the device is functioning within expected parameters.

While historical data from previous days was noted as missing information by the investigator, it is not required to determine immediate hardware faults like 'stuck' states or communication drops based on the current high-quality temporal baseline.

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## 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>

## Deterministic Signals
{
  "room_activity": {
    "living_room": 336,
    "master_bedroom": 336,
    "second_bedroom": 336,
    "kitchen": 293,
    "bathroom": 48,
    "entrance": 48
  },
  "attribute_frequency": {
    "MeasuredValue": 1152,
    "Occupancy": 240,
    "TestInProgress": 2,
    "ExpressedState": 2
  },
  "lock_state_flips": 0,
  "occupancy_events": 240,
  "temperature_patterns": [],
  "value_format_hints": {
    "temperature": "MeasuredValue is shown as Celsius with the raw integer preserved in parentheses.",
    "occupancy": "0=unoccupied, 1=occupied",
    "lock_state": "enumerated lock state rendered as label + raw code"
  }
}

## Chunk Index
[
  {
    "chunk_id": "C00",
    "start_ts": "2026-06-06T00:00:00",
    "end_ts":

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## Triage
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": ["kitchen"],
    "target_devices": ["kitchen_temp_sensor"],
    "target_question": "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。"
  },
  "focus_rooms": ["kitchen"],
  "focus_devices": ["kitchen_temp_sensor"],
  "focus_chunk_ids": ["C00", "C13"],
  "suspected_patterns": [
    "Temperature drift consistency check: Compare kitchen sensor values against other room sensors to identify if the device is stuck, lagging, or reporting impossible values.",
    "Event frequency anomaly: Verify if the kitchen sensor reports at the expected interval compared to peers."
  ],
  "why_these_chunks": [
    "C00 provides the baseline start-of-day readings for the kitchen temperature sensor and its peers to establish a normal operating range.",
    "C13 includes 'kitchen_smoke_alarm' in top devices alongside temperature data; while the query focuses on the temperature sensor, checking this chunk helps ensure no overlapping fault events (like alarm triggers) correlate with temperature anomalies, and confirms the sensor was active during a period with higher event counts."
  ]
}

## Investigator
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The kitchen temperature sensor is functioning normally, providing accurate and consistent readings that correlate well with other room sensors.",
      "evidence": [
        "Consistent reporting frequency: The kitchen sensor reports every 5 minutes throughout both C00 (00:00-01:20) and C13 (17:55-19:05), matching the peer devices' interval.",
        "Correlated thermal drift: I


DF-02-FP: 夏季午后持续升温（正常日照效应）

温度上升后在午后到达峰值并回落，符合日间正弦曲线；而真正的漂移是不回落的单向偏移

Living room sensors are functioning normally, accurately tracking environmental changes and responding correctly to HVAC activation.

Explanation: Temperature sensor analysis: In Chunk C03, while the living room temperature showed a gradual rise (24.54°C to 25.16°C) consistent with ambient heat accumulation, other rooms (bedroom, kitchen) showed independent fluctuations. This divergence proves the sensor is not stuck or failing to report dynamic changes.

Explanation: HVAC responsiveness test: In Chunk C10, upon AC activation at 18:13:31, the sensor reported an immediate response with values dropping from ~25°C to ~23°C by 18:24, demonstrating high responsiveness and calibration accuracy.

Explanation: Occupancy sensor verification: The occupancy sensor correctly reported 'unoccupied' during empty periods and transitioned to 'occupied' immediately following light activation events, showing no false negatives or significant lag indicative of failure.

Explanation: Cross-device consistency: Throughout all chunks, the living room sensor readings remained within realistic physical bounds and correlated logically with time-of-day and environmental events, unlike the hypothetical anomalies considered.

C03: Living room temp rose steadily (24.54->25.16) while bedroom/kitchen temps fluctuated independently, ruling out sensor stagnation.

C10: Temperature dropped rapidly (~2°C in 10 mins) after AC turned on, confirming sensor responsiveness.

These chunks cover the transition from static readings to active HVAC usage and subsequent occupancy events, providing the full context needed to diagnose health.

Living room sensors are functioning normally, accurately reflecting environmental changes and occupancy status.

C03: Temperature readings show gradual warming (24.54°C to 25.16°C) consistent with ambient heat accumulation, while the bedroom sensor shows independent fluctuations (dipping to 23.65°C then rising). This divergence confirms the living room sensor is not stuck at a single value.

C10-C12: Upon AC activation (18:13), the temperature drops rapidly from ~25°C to ~23°C by 18:24. The sensor continues to report small, realistic drifts (±0.05°C) throughout the night as the room stabilizes around 22-23°C.

C03: Occupancy correctly reports 'unoccupied' (raw=0) when no activity is logged in that specific time window, and transitions to 'occupied' immediately following the entrance light turn-on event in C10.

Minor lag between the AC command (18:13:31) and the first recorded temperature drop (18:15:00), though this is likely due to reporting frequency rather than sensor failure.

In C03, while kitchen and bedroom temperatures fluctuate significantly (kitchen: 24.63->25.11, bedroom: 23.72->24.15), the living room temperature rises steadily but distinctly (24.54->25.16), proving it is tracking environmental conditions rather than being stuck.

In C10, the immediate response of the living room temperature sensor (~2°C drop within 10 mins of AC start) demonstrates high responsiveness and calibration accuracy compared to the static values seen in other logs.

The Investigator correctly interpreted the Matter-scaled temperature values (e.g., 2468 = 24.68°C), avoiding the false-alarm risk of treating raw integers as literal impossible temperatures.

The analysis successfully utilized cross-device comparison (living_room vs bedroom/kitchen) to distinguish sensor stagnation from actual environmental changes in C03.

The response to AC activation in C10 provided definitive evidence of sensor responsiveness and calibration, confirming normal operation.

Occupancy sensor behavior was verified against lighting events, showing no false negatives or lag indicative of failure.

No protocol-format misunderstandings were found; the investigator adhered to the Note regarding BooleanState transitions and scaled values.

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## 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>

## Deterministic Signals
{
  "room_activity": {
    "living_room": 404,
    "bedroom": 357,
    "kitchen": 298,
    "bathroom": 58,
    "entrance": 14
  },
  "attribute_frequency": {
    "MeasuredValue": 871,
    "Occupancy": 224,
    "OnOff": 18,
    "StateValue": 5,
    "LockState": 4,
    "CurrentPositionLiftPercent100ths": 2,
    "SystemMode": 1,
    "OperationalState": 1,
    "CurrentLevel": 1
  },
  "lock_state_flips": 4,
  "occupancy_events": 224,
  "temperature_patterns": [],
  "value_format_hints": {
    "temperature": "MeasuredValue is shown as Celsius with the raw integer preserved in parentheses.",
    "occupancy": "0=unoccupied, 1=occupied",
    "lock_state": "enumerated lock state rendered as label + raw code"
  }
}

## Chunk Index
[
  {
    "chunk_id": "C00",
    "start_ts": "2026-06-09T00:00:00",
    "end_ts": "2026-06-09T01:50:00",
    "event_count": 80,
    "rooms": {
      "living_room": 27,
      "bedroom": 27,
      "kitchen": 22,
      "bathroom": 4
    },
    "top_devices":

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## Triage
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": ["living_room"],
    "target_devices": ["living_room_temp_sensor", "living_room_occupancy"],
    "target_question": "Check if sensors in living_room are working normally and identify fault types if abnormal."
  },
  "focus_rooms": ["living_room"],
  "focus_devices": ["living_room_temp_sensor", "living_room_occupancy"],
  "focus_chunk_ids": ["C03", "C10", "C11", "C12"],
  "suspected_patterns": [
    "Temperature sensor showing stuck or near-stationary values despite AC operation changes (e.g., C03 flatlining around 24.68-24.75°C while other rooms vary).",
    "Occupancy sensor reporting 'unoccupied' (raw=0) during periods when occupancy events occur or lights/AC are active (potential false negative or communication lag).",
    "Discrepancy between high alarm counts in chunks with temperature plateaus, suggesting the sensor may be failing to report dynamic changes correctly."
  ],
  "why_these_chunks": [
    "C03: Shows a period where living_room_temp_sensor values appear flattened (24.68-24.75) compared to fluctuating kitchen/bedroom temps, raising suspicion of sensor stagnation.",
    "C10: Contains explicit AC activation ('OnOff.OnOff = on') and mode change; critical for verifying if the temperature sensor reacts to HVAC changes.",
    "C11 & C12: High alarm counts combined with specific occupancy toggles allow cross-referencing sensor responsiveness against known environmental changes (people entering/leaving).",
    "These chunks cover the transition from static readings to active HVAC usage and subsequent occ


触发间隔不规律（不是周期性的），且频率较低（几分钟一次不是几十秒一次）

The second_bedroom sensors are functioning normally with consistent data reporting and logical state transitions throughout the observed period.

Explanation: In Chunk C00 (00:00-01:20), the temperature sensor reported valid fluctuating values (22.65 C to 23.14 C) every 5 minutes, establishing a healthy baseline.

Explanation: In Chunk C17 (18:45-19:39), while the kitchen_temp_sensor experienced a 'None' value at 18:52:00 indicating an isolated failure or communication drop in that specific device, the second_bedroom_temp_sensor continued to report valid integers (e.g., 22.97 C) at the exact same timestamp, proving it was not affected by the system-wide logging issue.

Explanation: In Chunk C21 (22:15-23:09), both temperature and occupancy sensors maintained consistent reporting frequencies and logical transitions (occupied/unoccupied) matching expected usage patterns without any gaps or stuck values.

Explanation: No explicit fault events, impossible state transitions, or prolonged missing telemetry were found for the target devices across all three chunks.

Contrast between kitchen_temp_sensor reporting 'None' at 18:52:00 versus second_bedroom_temp_sensor successfully reporting 22.97 C at the same timestamp.

Consistent presence of valid TemperatureMeasurement.MeasuredValue logs for second_bedroom_temp_sensor in every time window (C00, C17, C21).

Logical OccupancySensing.Occupancy transitions observed in C17 and C21 corresponding to room activity.

Continue standard monitoring; no immediate intervention required.

Investigate the kitchen_temp_sensor anomaly if persistent.

In Chunk C00 (00:00-01:20), the temperature sensor reports values ranging from 22.65 C to 23.14 C, showing natural thermal variation without sticking or gaps.

In Chunk C17 (18:45-19:39), the sensor continues to report values (e.g., 22.97 C, 22.88 C) despite activity in other rooms (kitchen heating up to 26.65 C).

In Chunk C21 (22:15-23:09), the sensor reports stable nighttime temperatures around 22.48 C - 22.62 C.

Occupancy events show logical transitions (unoccupied -> occupied -> unoccupied) matching expected usage patterns.

Minor value fluctuations between chunks could theoretically indicate slow drift, but the magnitude is within normal sensor noise limits.

Contrast between kitchen_temp_sensor reporting 'None' at 18:52:00 in Chunk C17 versus second_bedroom_temp_sensor successfully reporting a valid integer value (22.97 C) at the same timestamp.

Consistent reporting frequency of the second_bedroom_temp_sensor across all three time windows (C00, C17, C21) compared to the gap observed in the kitchen sensor logs.

No explicit 'DeviceFault' or 'Error' event logs for the second_bedroom sensors were found in the provided chunks.

Verify if 'None' values in kitchen_temp_sensor were preceded by specific fault events (e.g., TemperatureMeasurement.Fault) to rule out transient communication drops.

Confirm occupancy sensor reporting frequency matches the baseline established in C00 during high-activity periods in C17.

The investigator correctly identified that the second_bedroom sensors are functioning normally despite anomalies in other devices (kitchen).

Evidence from C17 is critical: while kitchen_temp_sensor reported 'None' at 18:52:00, second_bedroom_temp_sensor reported a valid value (22.97 C) at the exact same timestamp. This isolates the issue to the kitchen device/system and confirms the bedroom sensor's integrity.

No stuck values, impossible transitions, or missing telemetry gaps were found for the target devices across C00, C17, and C21.

The hypothesis of 'Normal Operation' is strongly supported by consistent data presence and logical state transitions.

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## 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>

## Deterministic Signals
{
  "room_activity": {
    "living_room": 401,
    "master_bedroom": 336,
    "second_bedroom": 340,
    "kitchen": 298,
    "bathroom": 222,
    "entrance": 233
  },
  "attribute_frequency": {
    "MeasuredValue": 1154,
    "Occupancy": 647,
    "OnOff": 14,
    "StateValue": 5,
    "LockState": 4,
    "SystemMode": 1,
    "OperationalState": 1
  },
  "lock_state_flips": 4,
  "occupancy_events": 647,
  "temperature_patterns": [],
  "value_format_hints": {
    "temperature": "MeasuredValue is shown as Celsius with the raw integer preserved in parentheses.",
    "occupancy": "0=unoccupied, 1=occupied",
    "lock_state": "enumerated lock state rendered as label + raw code"
  }
}

## Chunk Index
[
  {
    "chunk

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## Triage
```json
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": ["second_bedroom"],
    "target_devices": ["second_bedroom_temp_sensor", "second_bedroom_occupancy"],
    "target_question": "Check if the second_bedroom sensor is working normally and identify potential faults if abnormal."
  },
  "focus_rooms": ["second_bedroom"],
  "focus_devices": ["second_bedroom_temp_sensor", "second_bedroom_occupancy"],
  "focus_chunk_ids": ["C00", "C17", "C21"],
  "suspected_patterns": [
    "Stuck or missing telemetry values (e.g., 'None' in C17, C18)",
    "Inconsistent reporting frequency compared to other rooms",
    "Lack of explicit fault events requiring correlation with data gaps"
  ],
  "why_these_chunks": [
    "C00: Establishes baseline behavior for the second_bedroom_temp_sensor to confirm it is reporting valid temperature data initially.",
    "C17: Contains a critical anomaly where kitchen_temp_sensor reports 'None'; inspecting this chunk helps determine if the system-wide logging issue affects the bedroom sensor similarly or if the bedroom sensor behaves differently.",
    "C21: Used to verify if the sensor recovers from any observed anomalies or maintains consistent reporting throughout the night cycle."
  ]
}
```

## Investigator
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The second_bedroom sensors (temperature and occupancy) are operating normally, reporting valid, fluctuating data consistent with environmental conditions.",
      "evidence": [
        "In Chunk C00 (00:00-01:20), the temperature sensor reports values ranging from


DF-04-FP: 门锁响应延迟但最终成功锁定

The entrance sensors experienced a temporary communication gap or offline state during the early morning hours (05:40-07:15) but recovered immediately and functioned normally upon reconnection.

Explanation: Analysis of Chunk C03 (05:40-07:15) reveals zero events from 'entrance' devices (front_door_contact, front_door_lock), while other rooms reported normal telemetry, indicating an isolated connectivity issue rather than a global system failure.

Explanation: The silence was followed immediately by Chunk C04 (starting 07:15:20), where the front_door_contact sensor successfully reported state transitions (false -> true) and triggered the automatic lock mechanism, proving the device hardware and firmware were intact and responsive once the network connection was restored.

Explanation: Although the manual unlock event at the end of C03 (07:15:18) lacked a corresponding contact report, the immediate recovery in C04 suggests the sensor was likely in a deep-sleep mode or experiencing a radio dropout, which is a transient fault type not indicative of permanent sensor malfunction or security breach.

Complete absence of 'front_door_contact' or 'front_door_lock' log entries in Chunk C03 despite active logging in other zones.

Successful generation of valid contact state ('true') and auto-lock operation ('LockOperationType=0') at 07:15:20 in Chunk C04, confirming device recovery.

Verify physical power supply stability for the entrance sensor node to rule out battery drainage during sleep cycles.

Check Zigbee/Wi-Fi mesh signal strength logs between 05:40 and 07:15 to identify potential interference or router dropouts.

Monitor future early-morning activity windows to confirm if this intermittent disconnect pattern persists.

入户门传感器 (front_door_contact)
入户门锁 (front_door_lock)

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "Entrance sensors are operating normally; the absence of data in C03 was due to low activity or a temporary network/communication gap, not device failure.",
      "evidence": [
        "In Chunk C03 (05:40-07:15), there are zero events for 'entrance' devices, but extensive normal telemetry from living_room, bedroom, and kitchen sensors confirms the network backbone and other devices were active.",
        "In Chunk C04 (immediately following C03 at 07:15:20), the front_door_contact sensor reports a valid state transition (false -> true) and triggers an automatic lock operation, proving the device hardware and firmware recovered instantly after the gap.",
        "The manual unlock event at the end of C03 (07:15:18) occurred just before the recovery sequence, suggesting the door was physically interacted with, which would naturally generate a contact event if the sensor had been working."
    ]
  ],
  "anomaly_hypotheses": [
    {
      "id": "A1",
      "description": "Temporary sensor unavailability or communication drop during the early morning hours (C03).",
      "threat_type": "abnormal_inactivity",
      "evidence": [
        "Complete silence on all entrance-related attributes (contact, occupancy, temperature if present) for over 95 minutes (05:40 to 07:15) while other rooms remain active.",
        "No explicit 'DeviceFault' or 'CommissioningFailed' error messages appear in the logs for the entrance zone."
    ],
    "weaknesses": [
        "The immediate return to perfect functionality in C04 makes a permanent hardware failure highly unlikely.",
        "No evidence of intrusion or tailgating can be confirmed because the lack of sensor data prevents verification of who entered or when."
    ]
  ],
  "most_discriminative_evidence": [
    "The temporal proximity of the manual unlock event (C03 end) and the subsequent healthy auto-lock sequence (C04 start) indicates the device was likely asleep or offline rather than broken.",
    "The presence of robust data streams from neighboring zones during the C03 gap isolates the issue to either the specific entrance device power supply or its radio link, rather than a global system failure."
  ],
  "missing_information": [
    "System-level logs for the timestamp range 05:40-07:15 specifically mentioning 'DeviceFault', 'RF Loss', or 'Power Cycle' for the entrance node.",
    "Network connectivity logs to determine if the gap corresponds to a Wi-Fi/Zigbee mesh dropout.",
    "Verification of whether the manual unlock at 07:15:18 generated any intermediate signal that might have been suppressed by a deep-sleep state."
  ]
}

Verify if 'entrance' devices appear in chunks C06 and C07 to confirm the duration of the outage.

Check system-level logs for specific error codes (e.g., RF Loss, Battery Low) during the gap.

Cross-reference manual unlock timestamp with network mesh status.

The investigator correctly identified that the silence in C03 is likely a temporary network drop rather than hardware failure, supported by the immediate recovery in C04 and healthy neighboring sensors.

However, evidence remains insufficient because we do not know if the outage was isolated to C03 or persisted longer. The query asks to check 'if working normally', implying a need to determine the total downtime duration.

Chunks C06 and C07 are missing from the current view. If they also show silence, this extends the fault window significantly. If they show activity, it confirms a transient issue but requires explicit confirmation of the exact start/stop times.

No false-alarm risk regarding temperature values; the raw data (e.g., 2455 -> 24.55) is interpreted correctly per Matter notes.

Entrance sensors are functioning normally with a known temporary network latency gap during the early morning window (05:40 - 07:15).

The 'entrance' room activity count is low (17) compared to other rooms, but not zero.

Chunk C04 shows a complete, healthy interaction sequence: Door contact state change -> Auto-lock event -> Locked state. This proves the sensor and lock logic work when data is received.

Chunk C12 later in the evening shows normal operation: Door contact detects presence -> Auto-lock triggers immediately.

Temperature readings for living_room, bedroom, and kitchen are stable and realistic throughout all chunks, indicating the general sensor network is operational.

Complete absence of any entrance-specific events (contact or occupancy) in Chunk C03 between 05:40 and 07:15 creates an observational gap that cannot be definitively ruled out as a device fault without external network logs.

Presence of a successful auto-lock cycle in C04 and C12 confirms the sensor-to-actuator chain is intact when active.

Stable temperature reporting from multiple sensors rules out a global system failure or widespread sensor drift.

Network connectivity status or packet loss logs for the time period 05:40 - 07:15 to confirm if the silence was due to communication failure rather than device failure.

Verify 'front_door_contact' sensor state during the C03 gap (05:40-07:15) to confirm if it was offline or simply silent.

Check for explicit 'DeviceFault' or 'CommissioningFailed' events in the system log for the entrance zone during the gap period.

Compare packet loss/network connectivity logs against the timestamp range 05:40-07:15 to distinguish network issues from device failure.

The investigator correctly identified a data gap in Chunk C03 but jumped to a 'network latency' hypothesis without ruling out total device power loss or radio sleep mode.

Chunk C03 shows the front_door_lock manually unlocking at 07:15:18. If the contact sensor had failed completely, this manual unlock might have been triggered by an external override rather than user action, though context suggests otherwise.

Chunk C04 immediately following C03 shows normal operation, which makes a permanent hardware failure unlikely, but does not rule out a temporary firmware crash or deep-sleep state.

We need to inspect Chunk C05 (the hour between C04 and C12) to see if there are any other entrance events that occurred when the house was likely active, which would help characterize the frequency of the silence in C03.

Current evidence is ambiguous: The sensors work fine later, but the absence of data in C03 could be a network drop, a power cycle, or a sensor fault. A definitive 'working normally' verdict requires confirming the sensor was actually receiving power/signals during the gap, not just assuming network latency based on lack of evidence.

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

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## 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>

## Deterministic Signals
{
  "room_activity": {
    "living_room": 397,
    "bedroom": 353,
    "kitchen": 298,
    "bathroom": 52,
    "entrance": 17
  },
  "attribute_frequency": {
    "MeasuredValue": 866,
    "Occupancy": 212,
    "OnOff": 18,
    "LockState": 6,
    "StateValue": 5,
    "CurrentPositionLiftPercent100ths": 2,
    "SystemMode": 1,
    "OperationalState": 1,
    "CurrentLevel": 1
  },
  "lock_state_flips": 6,
  "occupancy_events": 212,
  "temperature_patterns": [],
  "value_format_hints": {
    "temperature": "MeasuredValue is shown as Celsius with the raw integer preserved in parentheses.",
    "occupancy": "0=unoccupied, 1=occupied",
    "lock_state": "enumerated lock state rendered as label + raw code"
  }
}

## Chunk Index
[
  {
    "chunk_id": "C00",
    "start_ts": "2026-06-12T00:00:00",
    "end_ts": "2026-06-12T01:50:00",
    "event_count": 80,
    "rooms": {
      "living_room": 27,
      "bedroom": 27,
      "kitchen": 22,
      "bathroom": 4
    },
    "top_devices": [

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

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## Triage
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "behavior-sequence",
  "query_anchor": {
    "target_rooms": ["entrance"],
    "target_devices": ["入户门传感器 (front_door_contact)", "入户门锁 (front_door_lock)"],
    "target_question": "Check if entrance sensors are working normally and identify potential faults."
  },
  "focus_rooms": ["entrance", "bedroom", "living_room"],
  "focus_devices": ["front_door_contact", "front_door_lock", "bedroom_occupancy", "living_room_occupancy"],
  "focus_chunk_ids": ["C03", "C04", "C12"],
  "suspected_patterns": [
    "Missing occupancy/lock events in specific chunks despite room activity",
    "Potential sensor failure or network drop indicated by absence of expected state transitions",
    "Inconsistent lock operation sequence relative to door contact states"
  ],
  "why_these_chunks": [
    "C03: Contains the first recorded events for 'entrance' (2 events) but lacks detailed context on sensor behavior compared to other rooms.",
    "C04: Shows a complete, healthy interaction sequence between the door contact (open/close) and the lock (auto-lock), establishing a baseline for normal operation.",
    "C12: Records additional 'entrance' activity (4 events) later in the day; comparing this with C04 helps determine if the earlier silence was a temporary gap or a persistent fault."
  ]
}

## Investigator
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "Entrance sensors are operating normally; the absence of data in C03 was due to low activity or a temporary network/communication gap, not device failure.",
      "evidence": [
        "In Chunk C03 (05:40-07:15), th


DF-01-FP: 空调恒温控制导致温度稳定

有微小波动（±0.2°C），不是完全固定值；且空调处于开启状态

The living_room temperature sensor is functioning normally, exhibiting expected thermal drift and bidirectional fluctuations consistent with environmental changes.

Explanation: The sensor reports a continuous range of values (22.69°C to 24.44°C) over the observation period without any static 'stuck' behavior or impossible jumps.

Explanation: Temperature fluctuations are clearly bidirectional (e.g., dropping from 23.88°C to 23.80°C then rising again), indicating dynamic responsiveness rather than a frozen reading.

Explanation: The magnitude of change between consecutive readings aligns with the thermal inertia of a room environment, and no protocol-level error flags or alarm states were present in the logs.

Explanation: Other zone sensors show similar trends, confirming the data reflects a global environmental shift (likely HVAC cycling) rather than a localized sensor malfunction.

Continuous variance in raw values (e.g., 2271 -> 2280 -> 2275) rules out stuck/pinpointed output.

Absence of explicit fault events, alarm states, or impossible state transitions in the Matter logs.

Consistency of behavior across multiple sensors in different zones supports a normal environmental response.

Continue monitoring for future anomalies.

No immediate intervention required as the device is operating within expected parameters.

判断 living_room 区域的传感器是否工作正常，若异常说明故障类型。

判断 living_room 区域的传感器是否工作正常，若异常说明故障类型。

Without external ground truth (e.g., a calibrated reference thermometer), it is impossible to mathematically prove the absolute accuracy of the sensor, only its behavioral consistency.

Absence of raw values outside the plausible physical range for an indoor environment (-20°C to +50°C).

Presence of value variance over time, contradicting hypotheses of sensor failure due to stuck/pinpointed output.

Lack of any protocol-level error flags or system-mode interruptions associated with temperature reporting.

Calibration history or factory-set accuracy tolerances for the specific sensor model.

External environmental data (HVAC settings, window status) to contextualize the rate of temperature rise.

Logs from other sensors in the same zone to rule out a localized environmental heating event affecting all devices simultaneously.

Cross-zone correlation check (verify if other zones show similar trends to rule out global HVAC changes vs localized sensor drift)

Occupancy context validation (confirm 'unoccupied' status matches physical reality or HVAC cycling logic)

The investigator correctly interpreted the Matter scaled values (e.g., 2466 = 24.66°C), avoiding the false-alarm risk of treating raw integers as impossible temperatures.

Evidence shows consistent bidirectional fluctuations and a gradual trend across all sensors in the zone, supporting the hypothesis of normal thermal response to environmental changes rather than a stuck fault.

No protocol-level error flags or impossible state transitions were found in the provided logs.

The analysis is sufficient to conclude the sensor is functioning normally based on behavioral consistency, though external ground truth would be ideal for absolute accuracy verification.

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## 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>

## Deterministic Signals
{
  "room_activity": {
    "living_room": 403,
    "master_bedroom": 520,
    "kids_room": 521,
    "kitchen": 303,
    "dining_room": 224,
    "second_bedroom": 48,
    "master_bathroom": 60,
    "entrance": 227,
    "second_bathroom": 1
  },
  "attribute_frequency": {
    "MeasuredValue": 1160,
    "Occupancy": 1098,
    "On

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## Triage
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": ["living_room"],
    "target_devices": ["客厅温度传感器"],
    "target_question": "判断 living_room 区域的传感器是否工作正常，若异常说明故障类型。"
  },
  "focus_rooms": ["living_room"],
  "focus_devices": ["living_room_temp_sensor"],
  "focus_chunk_ids": ["C00", "C01", "C02", "C03"],
  "suspected_patterns": [],
  "why_these_chunks": "These chunks contain the earliest and most frequent temperature readings for the living_room sensor, allowing for an analysis of baseline stability, drift, or stuck values necessary to determine health status."
}

## Investigator
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The living_room_temp_sensor is functioning normally, exhibiting expected thermal drift consistent with environmental changes and sensor physics.",
      "evidence": [
        "The sensor reports a continuous range of values from 22.69°C to 24.44°C over the observation period, showing no static 'stuck' behavior.",
        "Temperature fluctuations are bidirectional (e.g., dropping from 23.92°C to 23.88°C at 03:50, rising from 23.78°C to 23.89°C at 03:35), indicating dynamic responsiveness rather than a frozen reading.",
        "The magnitude of change between consecutive readings (typically <0.1°C within 5 minutes) aligns with the thermal inertia of a room environment.",
        "No explicit fault events, alarm states, or impossible state transitions are present in the logs."
      ],
      "weaknesses": [
        "Without external ground truth (e.g., a calibrated reference thermometer), it is impossible to mathemati


DF-06-FP: 窗帘正常移动但速度慢

Master bedroom temperature and occupancy sensors are functioning normally with realistic data fluctuations and no fault events detected.

Explanation: Temperature readings for master_bedroom_temp_sensor show consistent, logical variations across all time chunks (C05 to C30), ranging from ~22.4°C to ~25.1°C, which aligns with expected environmental changes rather than being stuck or drifting.

Explanation: Occupancy sensor (master_bedroom_occupancy) consistently reports 'occupied' (raw=1) during active periods and correlates with other room states, with no evidence of missed updates or impossible state transitions.

Explanation: The single 'None' value observed in the logs corresponds to a kitchen_temp_sensor event, not the target devices, and no explicit DeviceFault or ServiceUnavailable events were recorded for the master bedroom sensors.

In C05, master_bedroom_temp_sensor values change from 24.89°C to 25.09°C, demonstrating active polling and responsiveness.

In C17, temperatures drop logically as ambient conditions change, with master_bedroom tracking neighbors without significant lag.

No explicit fault events or null values were found in the log entries for master_bedroom_temp_sensor or master_bedroom_occupancy.

```json
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "behavior-sequence",
  "query_anchor": {
    "target_rooms": ["master_bedroom"],
    "target_devices": ["master_bedroom_temp_sensor", "master_bedroom_occupancy"],
    "target_question": "Check if the master_bedroom temperature and occupancy sensors are functioning normally; identify faults if any."
  },
  "focus_rooms": ["master_bedroom", "living_room", "kitchen"],
  "focus_devices": ["master_bedroom_temp_sensor", "living_room_temp_sensor", "kitchen_temp_sensor", "master_bedroom_occupancy", "entrance_occupancy"],
  "focus_chunk_ids": ["C05", "C17", "C28", "C30"],
  "suspected_patterns": [
    "Stuck sensor values: Temperature readings in C05 (24.89) and C17 (24.43) show no change despite time passing or other rooms changing, suggesting a potential stuck value.",
    "Occupancy/Occupancy mismatch: High 'alarmish_count' in C17 (42) combined with static temperatures while occupancy events occur suggests sensor lag or failure to update state correctly.",
    "Data loss: Although not explicitly seen in preview lines for master_bedroom, checking later chunks (like C30) ensures no sudden drop to 'None' or invalid states occurs late in the log."
  ],
  "why_these_chunks": [
    "C05: Shows a period where master_bedroom_temp_sensor reported 24.89 C at 06:20 and 24.87 C at 06:25, appearing stable while living_room/kitchen fluctuated, indicating a potential stuck temperature reading.",
    "C17: Contains a high 'alarmish_count' (42) during evening hours; inspection is needed to verify if the sensor stopped updating or reporting impossible values relative to occupancy changes.",
    "C28: Evening data point showing 22.41 C vs neighbors (kids 22.60, kitchen 22.41); critical to check if this is a valid cooling trend or a drift/stuck error.",
    "C30: Late night snapshot to ensure the sensor does not fail silently or return null/invalid data at the end of the monitoring window."
  ]
}
```

Master bedroom temperature and occupancy sensors are functioning normally, reflecting realistic environmental changes and human presence.

In C05 (morning), the master bedroom temperature fluctuates realistically from 24.89°C to 25.09°C while other rooms show similar variance patterns, indicating active sensor polling rather than a stuck value.

In C17 (afternoon), temperatures drop logically as ambient conditions change or AC engages (living_room drops to 24.07°C), and the master_bedroom tracks this trend downwards from 24.43°C to 24.07°C without lagging significantly behind neighbors.

In C28 (evening) and C30 (late night), temperatures stabilize in the 22.4°C - 22.7°C range, consistent with nighttime cooling. The master_bedroom values (e.g., 22.61°C at 22:10, 22.57°C at 23:30) align closely with adjacent rooms (kids_room, kitchen).

Occupancy states remain consistently 'occupied' during these intervals, matching the high activity counts in structured signals for master_bedroom (526) and frequent Occupancy attribute updates (1254 total).

Minor discrepancies exist between specific timestamps (e.g., C28 22:15 shows master_bedroom 22.41°C vs kids_room 22.60°C), but these fall within acceptable thermal gradients for different room volumes or insulation.

Consistent correlation between temperature trends in master_bedroom and neighboring rooms across all four time chunks (C05, C17, C28, C30), refuting the hypothesis of a 'stuck' sensor.

Absence of explicit fault events, null values (except for one isolated kitchen sensor event in C05 which is unrelated to the target device), or impossible state transitions in the master_bedroom logs.

High frequency of valid OccupancySensing.Occupancy reports (raw=1) correlating with expected resident presence patterns.

Verification of the kitchen sensor null event in C05 to ensure it was an isolated incident unrelated to the master_bedroom device.

Confirmation that no 'DeviceFault' or 'ServiceUnavailable' events were logged for the master_bedroom devices across all chunks.

The investigator correctly identified that the initial suspicion of 'stuck values' (noted by Triage) was a false alarm. The raw logs show consistent temperature fluctuations and correlation with neighboring rooms in C05, C17, C28, and C30.

Matter protocol notes regarding centi-degrees Celsius are respected; all temperatures are realistic (approx. 22-25°C).

Occupancy states are consistently reported as 'occupied' (raw=1) matching the context of active usage in the evening/night chunks.

The single 'None' value for the kitchen sensor in C05 is an isolated anomaly and does not impact the health assessment of the master_bedroom sensors.

No explicit fault events or impossible state transitions were found for the target devices. The conclusion of 'Normal Operation' is well-supported by the provided evidence.

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## 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>

## Deterministic Signals
{
  "room_activity": {
    "living_room": 403,
    "master_bedroom": 526,
    "kids_room": 517,
    "kitchen": 303,
    "dining_room": 219,
    "second_bedroom": 48,
    "master_bathroom": 222,
    "entrance": 225,
    "second_bathroom": 1
  },
  "attribute_frequency": {
    "Occupancy": 1254,
    "MeasuredValue": 1156,

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## Triage
```json
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "behavior-sequence",
  "query_anchor": {
    "target_rooms": ["master_bedroom"],
    "target_devices": ["master_bedroom_temp_sensor", "master_bedroom_occupancy"],
    "target_question": "Check if the master_bedroom temperature and occupancy sensors are functioning normally; identify faults if any."
  },
  "focus_rooms": ["master_bedroom", "living_room", "kitchen"],
  "focus_devices": ["master_bedroom_temp_sensor", "living_room_temp_sensor", "kitchen_temp_sensor", "master_bedroom_occupancy", "entrance_occupancy"],
  "focus_chunk_ids": ["C05", "C17", "C28", "C30"],
  "suspected_patterns": [
    "Stuck sensor values: Temperature readings in C05 (24.89) and C17 (24.43) show no change despite time passing or other rooms changing, suggesting a potential stuck value.",
    "Occupancy/Occupancy mismatch: High 'alarmish_count' in C17 (42) combined with static temperatures while occupancy events occur suggests sensor lag or failure to update state correctly.",
    "Data loss: Although not explicitly seen in preview lines for master_bedroom, checking later chunks (like C30) ensures no sudden drop to 'None' or invalid states occurs late in the log."
  ],
  "why_these_chunks": [
    "C05: Shows a period where master_bedroom_temp_sensor reported 24.89 C at 06:20 and 24.87 C at 06:25, appearing stable while living_room/kitchen fluctuated, indicating a potential stuck temperature reading.",
    "C17: Contains a high 'alarmish_count' (42) during evening hours; inspection is needed to verify if the sensor stopped updating or reporting impossible values relative to oc


Bathroom sensors are functioning normally with consistent state transitions and no evidence of faults or malfunctions.

Explanation: The bathroom occupancy sensor correctly detected user entry (transition to 'occupied' at 08:55:00) and exit events (transitions to 'unoccupied' at 09:19:22 and subsequent times).

Explanation: The lighting actuator responded appropriately to occupancy changes, turning on immediately when the room was occupied and turning off after a standard timeout delay while the room remained occupied, which is expected behavior.

Explanation: There are no stuck values, impossible state transitions, missing data points for the bathroom devices, or explicit fault alarms in the provided log chunks.

[2026-06-07T08:55:00] bathroom_occupancy | OccupancySensing.Occupancy = occupied (raw=1)

[2026-06-07T08:55:00] bathroom_light | OnOff.OnOff = on (raw=True)

[2026-06-07T09:18:00] bathroom_light | OnOff.OnOff = off (raw=False)

[2026-06-07T09:19:22] bathroom_occupancy | OccupancySensing.Occupancy = unoccupied (raw=0)

Bathroom occupancy sensors are functioning normally, detecting entry and exit events accurately.

Chunk C04 shows a clear transition: bathroom_occupancy reported 'unoccupied' at 07:30:00, then 'occupied' at 08:55:00.

Chunk C05 shows the sensor reporting 'occupied' from 08:55:00 through 09:15:00, followed by a transition to 'unoccupied' at 09:19:22 after the light turned off.

Chunk C16 shows consistent 'unoccupied' status at 23:19:22 and 23:49:22 during low-activity periods.

The frequency of occupancy changes (4 transitions in ~12 hours) is plausible for a bathroom usage pattern.

No direct evidence of user presence (e.g., motion detection while occupied) to confirm the sensor isn't just holding state, though the state changes align with light activation/deactivation times.

Lighting logic is operating correctly based on occupancy states.

In C05, bathroom_light turns 'on' at 08:55:00 immediately following an occupancy change to 'occupied'.

In C05, bathroom_light turns 'off' at 09:18:00 shortly before the occupancy sensor reports 'unoccupied' at 09:19:22, suggesting a standard timer or delay logic rather than sensor failure.

In C16, no light commands are issued for the bathroom, consistent with the sensor reporting 'unoccupied' for over an hour prior to the log end.

The time gap between occupancy becoming 'unoccupied' (09:19:22) and light turning 'off' (09:18:00 - wait, the log says light OFF at 09:18:00 which is *before* occupancy became unoccupied at 09:19:22. This suggests the light turned off due to a timer/timeout while the user was still present, or the occupancy sensor lagged. However, this is a common 'normal' behavior for timers, not necessarily a fault.

Consistent correlation between occupancy state changes and logical system responses (lighting) without any stuck values or impossible state transitions in the bathroom logs.

Absence of explicit fault events (alarms, error codes) for the bathroom device in the provided chunks.

Raw data from outside the specified chunks (C04, C05, C16) to see if there were earlier anomalies or longer periods of silence.

Configuration details regarding the specific timeout settings for the bathroom lights vs. occupancy hold time.

Verify bathroom_light state history between 09:18:00 (off) and 09:19:22 (occupancy unoccupied) to confirm no 'on' event occurred during the gap.

Confirm that the lack of bathroom occupancy events in C16 is due to silence or absence of log entries rather than a missing chunk.

The investigator correctly interpreted Matter-scaled temperature values (e.g., 2526 = 25.26°C), avoiding false alarms based on literal raw values.

Evidence shows consistent state transitions for `bathroom_occupancy` (Occupied -> Unoccupied) correlating with expected usage patterns (light activation/deactivation).

The potential anomaly identified by the Triage Output (light off before occupancy cleared) was resolved by the Investigator noting this is likely a standard timer delay, supported by the subsequent 'unoccupied' report.

No stuck values, impossible transitions, or explicit fault codes were found for the bathroom devices in the provided chunks.

Conclusions are conservative and rely on direct evidence from the logs; no aggressive fault claims are made.

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## 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>

## Deterministic Signals
{
  "room_activity": {
    "living_room": 482,
    "bedroom": 493,
    "kitchen": 308,
    "bathroom": 55,
    "entrance": 3
  },
  "attribute_frequency": {
    "MeasuredValue": 870,
    "Occupancy": 442,
    "OnOff": 18,
    "StateValue": 4,
    "CurrentPositionLiftPercent100ths": 3,
    "SystemMode": 1,
    "OperationalState": 1,
    "LockState": 1
  },
  "lock_state_flips": 1,
  "occupancy_events": 442,
  "temperature_patterns": [],
  "value_format_hints": {
    "temperature": "MeasuredValue is shown as Celsius with the raw integer preserved in parentheses.",
    "occupancy": "0=unoccupied, 1=occupied",
    "lock_state": "enumerated lock state rendered as label + raw code"
  }
}

## Chunk Index
[
  {
    "chunk_id": "C00",
    "start_ts": "2026-06-07T00:00:00",
    "end_ts": "2026-06-07T01:50:00",
    "event_count": 80,
    "rooms": {
      "living_room": 27,
      "bedroom": 27,
      "kitchen": 22,
      "bathroom": 4
    },
    "top_devices": [
      "living_room_temp_s

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## Triage
```json
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": ["bathroom"],
    "target_devices": ["bathroom_occupancy", "bathroom_light", "water_leak_detector"],
    "target_question": "Check if bathroom sensors are working normally and identify potential faults."
  },
  "focus_rooms": ["bathroom"],
  "focus_devices": ["bathroom_occupancy", "bathroom_light"],
  "focus_chunk_ids": ["C04", "C05", "C16"],
  "suspected_patterns": [
    "Intermittent data loss (None) in other sensors suggests potential network or power instability.",
    "Occupancy state transitions occur but lack corresponding light activation events, suggesting potential sensor misalignment or logic failure.",
    "Low event frequency for bathroom devices compared to living areas may indicate a device entering a low-power sleep mode prematurely or failing to wake."
  ],
  "why_these_chunks": [
    "C04: Shows the first instance of bathroom occupancy transitioning to 'unoccupied' after a period of activity, with no subsequent light events to verify context.",
    "C05: Critical chunk showing 'Occupancy = occupied' followed by 'OnOff.OnOff = off' immediately, indicating the light turned off while the room was occupied. It also shows 'MeasuredValue = None' for the kitchen sensor, hinting at system-wide intermittent reporting issues that could affect the bathroom.",
    "C16: Ends the log session; checking if the bathroom sensor went silent or stopped reporting before the end of the day helps determine if the issue is transient or persistent."
  ]
}
```

## Investigator
{
  "normal_hypotheses": [
    {


状态 vs 实际位置不一致

Bedroom sensors are functioning normally with consistent temperature reporting and valid occupancy states, showing no signs of malfunction or communication failure.

Explanation: The bedroom_temp_sensor reports continuous, physically plausible temperature values (ranging from ~21.5°C to ~22.2°C) across both the night baseline (Chunk C00) and the evening activity period (Chunk C11), indicating active sensing and stable communication.

Explanation: No instances of 'MeasuredValue = None' or explicit fault events were observed for the bedroom sensor, contrasting sharply with the kitchen sensor in Chunk C11 which exhibited a clear communication failure pattern.

Explanation: The bedroom_occupancy sensor correctly transitions between 'occupied' and 'unoccupied' states (e.g., at 20:01:42 and 20:31:42), demonstrating proper state machine behavior without stuck values or impossible transitions.

[2026-06-19T19:41:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None (Positive control for fault pattern)

[2026-06-19T19:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 21.80 C (Valid data during same time window)

Continue routine monitoring of the system.

Investigate the kitchen_temp_sensor failure separately as it is currently reporting None.

判断 bedroom 区域的传感器是否工作正常，如异常说明故障类型

判断 bedroom 区域的传感器是否工作正常，如异常说明故障类型

C11: bedroom_temp_sensor reports valid values throughout the evening (e.g., 21.86 C at 19:40, 21.53 C at 20:50).

No explicit fault events, alarms, or 'MeasuredValue = None' errors observed for bedroom devices in either chunk.

The temperature drift between living room (rising ~0.6°C) and bedroom (stable/slight rise) is physically plausible but could theoretically indicate a calibration offset if not accounted for in expectations.

Absence of 'MeasuredValue = None' or similar error states in bedroom logs, contrasting with the kitchen sensor event in C11 which explicitly shows such a failure.

Continuous sequence of valid temperature readings in both C00 and C11 for bedroom_temp_sensor.

Ground truth occupancy status of the bedroom during the intervals reported as 'unoccupied' in C11 (e.g., 20:01:42, 20:31:42) to verify potential false negatives, though the pattern suggests normal operation during low-activity periods.

Verification of 'MeasuredValue = None' absence in bedroom logs (confirmed present).

Confirmation that occupancy transitions (e.g., at 20:01:42) align with expected human behavior or lack thereof.

Cross-check of temperature drift rates against physical constraints for both sensors.

The Investigator correctly identified that the bedroom sensors are functioning normally based on the provided chunks C00 and C11.

Crucially, the specific fault pattern mentioned in Matter Notes ('Missing value reporting') was observed only in the kitchen sensor (C11), NOT in the bedroom sensor. The Investigator avoided a false alarm by not assuming the bedroom had the same issue as the kitchen without evidence.

Temperature values in C00 and C11 for the bedroom sensor are physically plausible (drifting slowly between ~21.6°C and ~22.1°C) and follow proper protocol formatting (raw values converted to centi-degrees).

No explicit fault events, alarms, or impossible state transitions were found for the target devices.

The selected chunks provide sufficient temporal coverage (night baseline and evening activity period) to rule out intermittent failures during active usage.

The conclusion that the sensors are healthy is robust given the direct contrast with the known faulty kitchen sensor in the same dataset.

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## 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>

## Deterministic Signals
{
  "room_activity": {
    "living_room": 401,
    "bedroom": 357,
    "kitchen": 298,
    "bathroom": 59,
    "entrance": 14
  },
  "attribute_frequency": {
    "MeasuredValue": 866,
    "Occupancy": 222,
    "OnOff": 18,
    "StateValue": 5,
    "LockState": 4,
    "CurrentPositionLiftPercent100ths": 3,
    "OperationalStatus": 3,
    "SystemMode": 1,
    "OperationalState": 1,
    "CurrentLevel": 1
  },
  "lock_state_flips": 4,
  "occupancy_events": 222,
  "temperature_patterns": [],
  "value_format_hints": {
    "temperature": "MeasuredValue is shown as Celsius with the raw integer preserved in parentheses.",
    "occupancy": "0=unoccupied, 1=occupied",
    "lock_state": "enumerated lock state rendered as label + raw code"
  }
}

## Chunk Index
[
  {
    "chunk_id": "C00",
    "start_ts": "2026-06-19T00:00:00",
    "end_ts": "2026-06-19T01:50:00",
    "event_count": 80,
    "rooms": {
      "living_room": 27,
      "bedroom": 27,
      "kitchen": 22,
      "bathroom": 4

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## Triage
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "behavior-sequence",
  "query_anchor": {
    "target_rooms": ["bedroom"],
    "target_devices": ["bedroom_temp_sensor", "bedroom_occupancy"],
    "target_question": "判断 bedroom 区域的传感器是否工作正常，如异常说明故障类型"
  },
  "focus_rooms": ["bedroom"],
  "focus_devices": ["bedroom_temp_sensor", "bedroom_occupancy"],
  "focus_chunk_ids": ["C00", "C11"],
  "suspected_patterns": [
    "Missing value reporting (None) indicates sensor communication failure or power loss.",
    "Stuck values or impossible transitions indicate hardware malfunction."
  ],
  "why_these_chunks": [
    "C00 is selected as the baseline to observe normal operation patterns (regular temperature drift, consistent occupancy updates).",
    "C11 is selected because it contains an explicit 'MeasuredValue = None' event for kitchen_temp_sensor, which serves as a positive control example of a fault pattern. We must inspect C11's bedroom_temp_sensor events to see if it exhibits similar missing data issues or anomalous behavior during this high-alarm period."
  ]
}

## Investigator
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "Bedroom sensors are functioning normally, reporting valid temperature and occupancy data consistent with environmental conditions.",
      "evidence": [
        "C00: bedroom_temp_sensor reports continuous TemperatureMeasurement.MeasuredValue (e.g., 21.72 C at 00:00, drifting to 22.12 C by 01:50), indicating active sensing and communication.",
        "C00: bedroom_occupancy consistently reports 'unoccupied' (raw=0) when no activity events occur.",
        "C11: bedroom_


温度传感器读数漂移（drift）

温度读数持续单向偏移，不符合正常日间温度曲线 其他传感器或空调自带温度显示不一致（如果可以交叉验证）

The living room sensors are functioning normally; observed empty log entries are transient communication artifacts with immediate recovery and no associated fault alarms.

Explanation: Analysis of Chunk C05 reveals two instances where `living_room_temp_sensor` reports an empty `TemperatureMeasurement.MeasuredValue` (at 09:00:00 and 10:00:00), while concurrent readings from bedroom and kitchen sensors remain valid.

Explanation: Crucially, valid temperature readings for the living room sensor resume immediately in the subsequent intervals (09:05:00 and 10:05:00), demonstrating that the device did not go offline permanently or experience a hardware failure.

Explanation: The pattern of missing values coincides exactly with hourly timestamps, suggesting a periodic logging retry mechanism or transient network bridge timeout rather than a physical sensor defect. No explicit 'fault' or 'alarm' events were logged for this device during these gaps.

Explanation: Analysis of Chunk C11 confirms the living room occupancy sensor is working correctly (showing consistent 'occupied' states) and the temperature sensor provides continuous valid data throughout the chunk, further supporting the conclusion that the isolated gaps in C05/C11 are minor anomalies unrelated to device malfunction.

Log entry `[2026-06-01T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = ` shows a failed payload delivery but is followed by a successful reading at 09:05:00.

All other sensors (bedroom_temp, kitchen_temp) reported valid values at the exact same timestamps as the living room sensor failures, isolating the issue to a transient reporting glitch rather than a systemic outage.

No `OperationalState` or `AlarmStatus` faults were recorded for the living room devices during the periods of missing data.

Monitor the sensor logs periodically to ensure the hourly missing value pattern does not evolve into frequent drops.

Verify network stability between the Matter bridge and the living room sensor if the frequency of these transient glitches increases.

The 'missing value' logs at `[2026-06-01T09:00:00]` and `[2026-06-01T10:00:00]` occur exactly once per hour, coinciding with the timestamp of the preceding valid reading, suggesting a periodic retry or logging artifact rather than a continuous hardware failure.

Values recover immediately in the subsequent interval (e.g., 09:05:00), indicating no persistent loss of contact.

Intermittent empty log lines could theoretically indicate temporary communication drops, but the immediate recovery makes a permanent fault unlikely.

Transient sensor read failures or communication drops affecting the temperature sensor reporting mechanism.

Log entry `[2026-06-01T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = ` contains an empty value field while other concurrent sensors report successfully.

Log entry `[2026-06-01T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = ` shows the same pattern one hour later.

Log entry `[2026-06-01T20:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = ` shows the same pattern approximately 10 hours after the first incident.

The anomaly is transient; values return to normal ranges in the following intervals.

No explicit 'fault' alarm or 'stuck' value is reported in the Matter notes for this device.

The exact hourly recurrence might suggest a system-level logging issue rather than a physical sensor defect.

The specific log syntax `TemperatureMeasurement.MeasuredValue = ` followed by nothing, appearing multiple times for the living_room_temp_sensor but not consistently for others, indicates a failed payload delivery event.

The immediate resumption of valid readings in the next time bucket (e.g., 09:05:00) supports a transient glitch over a catastrophic failure.

OperationalState or AlarmStatus attributes for the living_room_temp_sensor during the timestamps of the missing values to confirm if the device explicitly flagged an error.

Raw packet logs or network latency metrics to distinguish between a sensor drop and a bridge/logging service timeout.

Cross-verification with C04/C06 to confirm the hourly recurrence pattern is consistent across all chunks (not just isolated incidents in C05/C11).

Check for `OperationalState` or `AlarmStatus` attributes in logs surrounding the empty entries to rule out silent device resets.

The investigator correctly identified that the 'empty value' logs are transient glitches rather than permanent faults, evidenced by immediate recovery and lack of contradictory sensor behavior.

The Triage Output incorrectly flagged Chunk C11 as containing a missing value for the *kitchen* sensor; however, the provided text shows the kitchen sensor reported valid values, while the *living_room* sensor had the missing entry. The Investigator Output correctly focused on the living_room anomalies despite this triage error.

The evidence is sufficient to conclude the sensors are functioning normally with minor communication artifacts. No false-alarm risk regarding impossible temperatures exists as the investigator properly used raw codes where available.

No additional chunks are strictly necessary to validate the conclusion given the clear recovery patterns, but checking adjacent chunks would strengthen the statistical confidence in the 'periodic artifact' hypothesis.

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## 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>

## Deterministic Signals
{
  "room_activity": {
    "living_room": 407,
    "bedroom": 357,
    "kitchen": 298,
    "bathroom": 56,
    "entrance": 14
  },
  "attribute_frequency": {
    "MeasuredValue": 866,
    "Occupancy": 225,
    "OnOff": 18,
    "StateValue": 5,
    "LockState": 4,
    "CurrentPositionLiftPercent100ths": 2,
    "SystemMode": 1,
    "OperationalState": 1,
    "CurrentLevel": 1
  },
  "lock_state_flips": 4,
  "occupancy_events": 225,
  "temperature_patterns": [],
  "value_format_hints": {
    "temperature": "MeasuredValue is shown as Celsius with the raw integer preserved in parentheses.",
    "occupancy": "0=unoccupied, 1=occupied",
    "lock_state": "enumerated lock state rendered as label + raw code"
  }
}

## Chunk Index
[
  {
    "chunk_id": "C00",
    "start_ts": "2026-06-01T00:00:00",
    "end_ts": "2026-06-01T01:50:00",
    "event_count": 80,
    "rooms": {
      "living_room": 27,
      "bedroom": 27,
      "kitchen": 22,
      "bathroom": 4
    },
    "top_devices":

## 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。

## Matter Notes
- These logs follow Matter-style smart-home event semantics.
- TemperatureMeasurement.MeasuredValue is represented in centi-degrees Celsius in this benchmark: 2466 means 24.66 C, not 2466 C.
- BooleanState and other protocol booleans should be interpreted using transitions and surrounding events, not naive natural-language assumptions from a single isolated value.
- OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.
- DoorLock.LockState is an enumerated state; formatted logs may show both the label and the raw code.
- A device-fault conclusion requires direct fault evidence such as stuck values, repeated non-recovery, explicit alarm/fault events, or impossible state transitions. Scaled temperature values alone are not enough.

## Triage
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": ["living_room"],
    "target_devices": ["living_room_temp_sensor", "living_room_occupancy"],
    "target_question": "Check if sensors in living_room are functioning normally and identify any faults."
  },
  "focus_rooms": ["living_room"],
  "focus_devices": ["living_room_temp_sensor", "living_room_occupancy"],
  "focus_chunk_ids": ["C05", "C11"],
  "suspected_patterns": [
    "Missing MeasuredValue payload (sensor offline)",
    "Data gap between chunks (missing events)"
  ],
  "why_these_chunks": [
    "Chunk C05 shows a malformed log line '[2026-06-01T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = ' with no value, indicating a potential sensor read failure or communication drop.",
    "Chunk C11 contains the same pattern of missing data for the kitchen sensor ('None'), which helps establish if this is an isolated living room issue or a systemic logging/sensor problem. Additionally, C11 has a high alarm count, warranting inspection of sensor stability during that period."
  ]
}

## Investigator
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "Living room sensors are functioning normally with minor, expected data transmission gaps.",
      "evidence": [
        "Temperature values in C05 (25.36-25.56 C) and C11 (22.47-22.81 C) fluctuate naturally within a small range consistent with ambient conditions.",
        "Occupancy events in C11 show logical transitions ('occupied' to 'occupied') without contradictory state flips indicating sensor failure.",
        "The