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

The living room temperature and occupancy sensors are operating normally with stable reporting cadence and correct state transitions.

Explanation: The living_room_temp_sensor reports consistently every 5 minutes across all provided chunks, maintaining a stable indoor temperature range (~22.4-23.3°C) with no stuck values or missed reports.

Explanation: A single transient temperature spike to 25.10°C at 18:24:00 immediately recovered to baseline at 18:25:00, which qualifies as environmental noise or sensor noise rather than a persistent device fault per device-health thresholds.

Explanation: The living_room_occupancy sensor correctly transitions from unoccupied to occupied at 18:13 and remains stable through the evening, demonstrating proper protocol behavior without contradictory or impossible state transitions.

Explanation: No direct fault evidence (e.g., repeated non-recovery, explicit alarm events, or sustained abnormal readings) is present, confirming normal device operation.

Consistent 5-minute reporting cadence with stable temperature readings across C00, C10, and C13.

Immediate recovery from the isolated 18:24 temperature spike without further deviations or stuck values.

Correct and stable occupancy state transitions (unoccupied -> occupied at 18:13, sustained through evening).

Continue routine monitoring of the living room sensors.

No immediate maintenance or intervention required.

```json
{
  "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": "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。"
  },
  "focus_rooms": ["living_room"],
  "focus_devices": ["living_room_temp_sensor", "living_room_occupancy"],
  "focus_chunk_ids": ["C00", "C10", "C13"],
  "suspected_patterns": ["normal_operation_verification", "temperature_stability", "occupancy_transition"],
  "why_these_chunks": [
    "C00 establishes baseline morning telemetry with stable temperature and unoccupied state.",
    "C10 captures evening occupancy transition and corresponding temperature drop, verifying responsive reporting.",
    "C13 confirms sustained nighttime occupancy and stable readings. Together they cover the full daily cycle to rule out stuck values, missed reports, or impossible transitions."
  ]
}
```

C10 captures correct occupancy transition to 'occupied' at 18:13 and stable temperature reporting thereafter.

C13 confirms sustained nighttime occupancy and stable readings (22.43-22.68 C).

A single transient temperature spike to 25.10 C at 18:24:00 occurred, but it immediately recovered to baseline at 18:25:00, which does not meet the threshold for a device fault.

Transient temperature spike at 18:24:00 suggests brief environmental interference or sensor noise, but lacks evidence of persistent malfunction.

18:24:00 reading jumps to 25.10 C, deviating from the ~23.0 C baseline.

Immediately recovers to 23.06 C at 18:25:00 with no further deviations.

Isolated single reading with immediate recovery.

No repeated occurrences, explicit fault codes, or corroborating device failures.

Fails the device-health threshold for sensor_malfunction per guidelines.

Consistent 5-minute reporting cadence across all chunks.

Stable temperature range (22.4-23.3 C) with only one transient spike.

Immediate recovery from the 18:24 temperature spike without repeated retries or stuck values.

None required; logs provide sufficient coverage of the full daily cycle to rule out device faults.

The investigator correctly interprets Matter-scaled temperature values and properly applies the device-health threshold, distinguishing a single transient environmental spike from a persistent sensor fault. The selected chunks (C00, C10, C13) provide adequate coverage of the target devices across the daily cycle, confirming stable reporting cadence and correct occupancy transitions. No protocol misunderstandings or missing checks are identified.

## 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": "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。"
  },
  "focus_rooms": [
    "living_room"
  ],
  "focus_devices": [
    "living_room_temp_sensor",
    "living_room_occupancy"
  ],
  "focus_chunk_ids": [
    "C00",
    "C10",
    "C13"
  ],
  "suspected_patterns": [
    "normal_operation_verification",
    "temperature_stability",
    "occupancy_transition"
  ],
  "why_these_chunks": [
    "C00 establishes baseline morning telemetry with stable temperature and unoccupied state.",
    "C10 captures evening occupancy transition and corresponding temperature drop, verifying responsive reporting.",
    "C13 confirms sustained nighttime occupancy and stable readings. Together they cover the full daily cycle to rule out stuck values, missed reports, or impossible transitions."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "Living room temperature and occupancy sensors are functioning normally. Temperature readings show stable, gradual fluctuations within a typical indoor range, and the occupancy sensor correctly transitions and maintains state without stuck values or missed reports.",
      "evidence": [
        "C00 shows consistent 5-minute temperature reporting (22.67-23.27 C) and unoccupied state.",
        "C10 captures correct occupancy t


DF-04-FP: 门锁响应延迟但最终成功锁定

The entrance area sensors (contact, lock, light) are operating normally with coherent state transitions and no fault evidence.

Explanation: Analyzed logs for front_door_contact, front_door_lock, and entrance_light across chunks C03, C04, C09, and C12.

Explanation: Observed sequences show logical transitions: manual unlock followed by contact state changes and auto-lock upon door closure (C04, C12), and manual unlock triggering contact false and light on (C09).

Explanation: No stuck values, impossible state transitions, or failed actuator commands are present. Sparse reporting aligns with expected event-driven Matter protocol behavior for a low-traffic entrance area.

Explanation: Conclusion: Sensors are functioning correctly without anomalies.

C09: 18:24:00 manual unlock -> 18:24:02 contact false -> 18:24:14 light on.

No action required. Continue routine monitoring.

```json
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "Entrance area sensors (contact, lock, light) are operating normally.",
      "evidence": [
        "Contact sensor correctly reports state transitions (false to true) that immediately precede auto-lock events in C04 (07:15:22->07:15:23) and C12 (22:09:37->22:09:38).",
        "Contact sensor false state in C09 (18:24:02) correctly correlates with manual unlock and subsequent light activation (18:24:14).",
        "No stuck values, impossible state transitions, or failed actuator commands are observed across all chunks.",
        "Sparse telemetry frequency is consistent with event-driven Matter protocol behavior for a low-traffic entrance area."
      ],
      "weaknesses": [
        "Continuous telemetry logs between 18:24 and 22:09 are absent, but this is expected for event-driven sensors unless periodic reporting was configured."
      ]
    }
  ],
  "anomaly_hypotheses": [],
  "most_discriminative_evidence": [
    "C04: 07:15:20 contact false -> 07:15:22 true -> 07:15:23 auto-lock.",
    "C12: 22:09:37 contact true -> 22:09:38 auto-lock.",
    "C09: 18:24:02 contact false -> 18:24:14 light on."
  ],
  "missing_information": [
    "Configuration details on whether the contact sensor is set to event-driven or periodic reporting.",
    "Full log stream for the 18:24-22:09 window to confirm if the door remained closed or if brief openings occurred without triggering reports."
  ]
}
```

Investigator correctly applies Matter event-driven semantics to sparse contact/lock logs. The observed transitions (false->true->auto-lock) and manual unlock sequences are coherent and show no direct fault evidence (stuck values, impossible transitions, or failed actuator commands). Sparse telemetry between events is expected for this device type. Conclusion of normal operation is well-supported by the provided chunks.

## 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": "none",
  "query_anchor": {
    "target_rooms": [
      "entrance"
    ],
    "target_devices": [
      "contact_sensor",
      "door_lock",
      "onoff_light"
    ],
    "target_question": "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。"
  },
  "focus_rooms": [
    "entrance"
  ],
  "focus_devices": [
    "contact_sensor",
    "door_lock"
  ],
  "focus_chunk_ids": [
    "C03",
    "C04",
    "C09",
    "C12"
  ],
  "suspected_patterns": [
    "contact_sensor rapid state transition (false->true)",
    "lock auto-operation and state reporting",
    "sparse telemetry frequency for entrance area"
  ],
  "why_these_chunks": [
    "These are the only chunks containing entrance-area events. C04 captures a complete contact-to-lock sequence essential for evaluating sensor responsiveness and protocol transitions. C03, C09, and C12 provide additional context on activity frequency and state reporting stability to rule out communication drops, stuck values, or missing follow-through."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator

```json
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "Entrance area sensors (contact, lock, light) are operating normally.",
      "evidence": [
        "Contact sensor correctly reports state transitions (false to true) that immediately precede auto-lock events in C04 (07:15:22->07:15:23) and C12 (22:09:37->22:09:38).",
        "Contact sensor false state in C09 (18:24:02) correctly correlates with manual unlock and subsequent light activation (18:24:14).",


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 temperature and occupancy sensors are operating normally with no evidence of faults.

Explanation: Analyzed telemetry for second_bedroom_temp_sensor and second_bedroom_occupancy across four daily intervals (C00, C05, C12, C22).

Explanation: Temperature readings show smooth, expected diurnal variations (ranging from ~22.5°C to ~25.3°C) without stuck values, dropouts, or impossible transitions.

Explanation: No explicit fault events, alarm codes, or recovery attempts are present in the logs, confirming normal operation.

Temperature values fluctuate smoothly within expected indoor ranges across all chunks.

Occupancy sensor reports stable 'unoccupied' state with no contradictory transitions.

No immediate action required; continue routine monitoring.

No explicit fault events, alarm codes, or recovery attempts are present in the logs.

Analysis relies on sampled telemetry intervals rather than continuous streams, though the sampled data is sufficient to rule out obvious faults like stuck values or complete dropouts.

Consistent temperature scaling and diurnal trends across all chunks without deviation or saturation.

Stable occupancy reporting (raw=0) with no contradictory transitions or missing updates.

Continuous telemetry logs to verify exact reporting intervals and latency.

Historical baseline data to confirm if the observed temperature range is typical for this specific room's insulation and usage.

The investigator correctly focused on the target devices and timeframes, properly applied the centi-degree scaling, and verified consistent diurnal temperature trends and stable occupancy states across multiple daily intervals. No direct fault evidence (stuck values, dropouts, or alarms) was found. The conclusion of normal operation is well-supported by the provided sampled logs.

## 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
{
  "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": "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。"
  },
  "focus_rooms": [
    "second_bedroom"
  ],
  "focus_devices": [
    "second_bedroom_temp_sensor",
    "second_bedroom_occupancy"
  ],
  "focus_chunk_ids": [
    "C00",
    "C05",
    "C12",
    "C22"
  ],
  "suspected_patterns": [
    "normal_diurnal_variation",
    "stable_occupancy_reporting"
  ],
  "why_these_chunks": [
    "Covers the full 24-hour cycle to verify diurnal temperature trends and occupancy status, ensuring no stuck values, missing reports, or impossible transitions."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The second_bedroom temperature and occupancy sensors are operating normally.",
      "evidence": [
        "Temperature readings for second_bedroom_temp_sensor show smooth diurnal variation (22.5-23.0°C overnight, 24.4-25.3°C daytime) that aligns with other rooms and expected indoor climate patterns.",
        "No stuck values, missing reports, or impossible state transitions are observed across all sampled chunks (C00, C05, C12, C22).",
        "Occupancy sensor consistently reports 'unoccupied' (raw=0) during sampled intervals, which is plausible for a secondary bedroom at those times.",
        "No explicit fault events, alarm codes, or re


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 operating normally with consistent reporting and realistic temperature variations.

Explanation: Analyzed telemetry across four 24-hour chunks (C00, C06, C13, C17) covering the full day.

Explanation: Verified consistent 5-minute reporting intervals and smooth, realistic temperature fluctuations (22.5°C–25.5°C) that align with expected diurnal patterns.

Explanation: Confirmed the complete absence of stuck values, communication dropouts, impossible state transitions, or explicit fault/alarm events in the logs.

Consistent 5-minute reporting intervals across all sampled chunks

Smooth diurnal temperature drift without sudden jumps or plateaus

Absence of stuck values, telemetry dropouts, or device fault events

No action required; continue routine monitoring.

Consistent 5-minute reporting intervals across all chunks

None required; the provided chunks span the full 24-hour period and demonstrate consistent telemetry reporting.

The investigation correctly targets the kitchen temperature sensor, verifies consistent 5-minute reporting intervals, realistic temperature drift, and absence of fault indicators across the sampled 24-hour span. The conclusion of normal operation is well-supported by the telemetry data and aligns with Matter protocol semantics.

## 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",
    "C06",
    "C13",
    "C17"
  ],
  "suspected_patterns": [
    "normal_diurnal_variation",
    "consistent_reporting"
  ],
  "why_these_chunks": [
    "Span the full 24-hour period to verify consistent telemetry reporting, normal temperature drift across day/night cycles, and absence of stuck values, communication dropouts, or impossible state transitions."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The kitchen temperature sensor is operating normally.",
      "evidence": [
        "Reports telemetry consistently every 5 minutes across all four time chunks (C00, C06, C13, C17).",
        "Temperature values fluctuate smoothly within a realistic indoor range (22.5°C to 25.5°C).",
        "Exhibits expected diurnal temperature variation (cooler overnight ~22.6°C, warmer in the morning ~25.3°C).",
        "No stuck values, communication dropouts, impossible state transitions, or explicit fault/alarm events are present."
      ],
      "weaknesses": [
        "Relies on sampled 5-minute intervals; however, the consistency across a full 24-hour span strongly indicates stable operation."
      ]
    }
  ],


DF-06-FP: 窗帘正常移动但速度慢

The master_bedroom sensors are operating normally with consistent reporting cadence and logical state transitions.

Explanation: Temperature sensor logs across all sampled chunks (C00, C15, C29, C30) show a consistent 5-minute reporting cadence with values fluctuating within a realistic indoor range (22.5°C–25.0°C), indicating no stuck values or data dropouts.

Explanation: Occupancy sensor logs demonstrate logical state transitions from unoccupied (overnight) to occupied (afternoon/evening) without oscillation or contradictory states, aligning with expected daily patterns.

Explanation: No explicit fault events, alarm codes, impossible state transitions, or actuator/command failures were detected for the target sensors, confirming normal device health.

Consistent 5-minute reporting cadence for temperature across all chunks without gaps, stuck values, or impossible jumps.

Logical occupancy state transitions (unoccupied -> occupied) matching expected daily patterns with no contradictory or oscillating states.

Continue routine monitoring of the master_bedroom sensors.

No immediate maintenance or troubleshooting actions are required.

The master_bedroom temperature and occupancy sensors are operating normally. Temperature data is reported consistently every 5 minutes across all sampled time windows with values fluctuating within a realistic indoor range (22.5°C–25.0°C). Occupancy data transitions logically from unoccupied (overnight) to occupied (afternoon/evening) with no stuck values, missed reports, or contradictory state changes.

master_bedroom_temp_sensor reports at regular 5-minute intervals in C00 (00:00-01:10), C15 (13:35-14:10), C29 (22:50-23:25), and C30 (23:30-23:55) with stable, plausible values.

master_bedroom_occupancy transitions from unoccupied (raw=0) at 00:00-01:00 to occupied (raw=1) starting at 13:34 and remains occupied through the evening logs without oscillation or stuck states.

No explicit fault events, alarm codes, or impossible state transitions are present in the logs.

Assessment is based on sampled 24-hour windows rather than continuous raw logs, but the spread covers overnight, mid-day, and evening periods sufficiently to rule out common fault patterns.

Complete absence of explicit fault codes, repeated non-recovery attempts, or actuator/command failures for the target sensors.

No additional information is required to conclude normal operation based on the provided telemetry.

The investigator correctly interpreted Matter-scaled temperature values (centi-degrees Celsius) and verified the consistent 5-minute reporting cadence across all sampled windows. Occupancy transitions are logical and align with expected daily patterns. No direct fault evidence (e.g., stuck values, impossible state jumps, or explicit alarm events) was detected. The conclusion of normal operation is well-supported by the telemetry, and the analysis remains strictly on-topic without protocol misunderstandings or false-alarm risks.

## 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
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": [
      "master_bedroom"
    ],
    "target_devices": [
      "temperature_sensor",
      "occupancy_sensor",
      "contact_sensor",
      "window_covering"
    ],
    "target_question": "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。"
  },
  "focus_rooms": [
    "master_bedroom"
  ],
  "focus_devices": [
    "master_bedroom_temp_sensor",
    "master_bedroom_occupancy",
    "master_bedroom_window",
    "master_bedroom_contact_sensor"
  ],
  "focus_chunk_ids": [
    "C00",
    "C15",
    "C29",
    "C30"
  ],
  "suspected_patterns": [
    "telemetry_consistency",
    "state_transition_normalcy",
    "missing_data_check"
  ],
  "why_these_chunks": "C00 establishes baseline overnight readings; C15 checks mid-day stability; C29 captures late-night window covering and lock context; C30 verifies end-of-day continuity. This spread ensures comprehensive coverage for detecting missing logs, stuck values, or impossible transitions across the full 24-hour cycle without prematurely narrowing to a single time window.",
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The master_bedroom temperature and occupancy sensors are operating normally. Temperature data is reported consistently every 5 minutes across all sampled time windows with values fluctuating within a realistic indoor range (22.5°C–25.0°C). Occupancy data transitions logically from unoccupied (overnight) to occupied (afternoon/eveni


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 and occupancy sensors are operating normally with consistent telemetry and logical state transitions.

Explanation: Temperature sensor logs show consistent 5-minute reporting intervals across all chunks (C00, C10, C20, C28) with physically plausible values ranging from 22.54°C to 25.57°C, reflecting normal diurnal variation.

Explanation: Occupancy sensor logs correctly reflect expected daily patterns, remaining unoccupied during night and mid-day periods, and transitioning to occupied in the evening (C20) which correlates logically with door lock, lighting, and AC activation events.

Explanation: The sparse occupancy logs during the mid-day window (C10) are consistent with the room being unoccupied, as occupancy sensors typically report on state changes; no contradictory transitions, stuck values, or explicit fault events are present.

Explanation: No direct device-fault evidence (e.g., repeated non-recovery, impossible state transitions, or alarm events) exists for either sensor, confirming normal operation.

Consistent 5-minute temperature reporting intervals and physically plausible values across the full daily cycle.

Logical occupancy state transitions aligning with daily routines and correlated device actions (e.g., lock/light/AC activation in C20).

Absence of stuck values, repeated non-recovery, or explicit fault events for living_room devices.

Continue routine monitoring of sensor telemetry.

No immediate maintenance or troubleshooting required.

OccupancySensing.Occupancy correctly reflects expected daily patterns: unoccupied (0) during night/early morning (C00) and mid-day (C10), and occupied (1) during evening/night activity (C20, C28).

No stuck values, repeated non-recovery, explicit fault events, or impossible state transitions are observed for living_room devices.

Temperature drift aligns with normal diurnal variation and correlates logically with other room sensors.

Mid-day occupancy logs for living_room are sparse compared to other rooms, though this may simply reflect lack of presence rather than a fault.

Potential intermittent occupancy reporting gap or missed detection during mid-day.

In C10 (10:00-10:48), living_room_occupancy only logs a single state at 10:30 (unoccupied), while other rooms (dining, kids, entrance, master bedroom) log frequent occupancy transitions.

This discrepancy could indicate a delayed report, missed detection, or temporary reporting suspension, though it does not meet the threshold for a confirmed fault.

Single data point in the chunk; absence of logs could simply mean the room was unoccupied during that period.

No corroborating evidence of missed presence, failed actuator commands, or sensor malfunction patterns (e.g., stuck values, repeated retries).

Temperature sensor continues reporting normally, indicating the device is not completely offline.

Consistent 5-minute temperature reporting intervals and logical occupancy state transitions across C00, C20, and C28 confirm baseline telemetry health.

Sparse mid-day occupancy logs in C10 contrast with frequent reports from other rooms, serving as the only potential indicator of a reporting gap.

Continuous occupancy telemetry for living_room during the 10:00-10:48 window to confirm whether the lack of reports was due to room unoccupancy or a sensor/reporting delay.

Device-level heartbeat or connection status logs to rule out transient network drops affecting the occupancy sensor.

Investigator correctly applied Matter protocol semantics and the high threshold for device-fault evidence. The analysis accurately distinguishes between normal occupancy sensor behavior (state-change reporting) and actual faults. The sparse logs in C10 are correctly attributed to likely room unoccupancy rather than a malfunction, given the absence of contradictory transitions or explicit fault events. The investigation covers a full daily cycle and provides a robust health assessment.

## 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": [
      "living_room_temp_sensor",
      "living_room_occupancy"
    ],
    "target_question": "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。"
  },
  "focus_rooms": [
    "living_room"
  ],
  "focus_devices": [
    "living_room_temp_sensor",
    "living_room_occupancy"
  ],
  "focus_chunk_ids": [
    "C00",
    "C10",
    "C20",
    "C28"
  ],
  "suspected_patterns": [
    "normal_diurnal_temperature_variation",
    "expected_occupancy_transitions"
  ],
  "why_these_chunks": [
    "C00 establishes baseline morning readings and initial unoccupied state.",
    "C10 captures mid-day temperature peak and activity context.",
    "C20 covers the evening transition period where occupancy typically shifts.",
    "C28 confirms late-night stabilization and continuous reporting.",
    "Together they verify uninterrupted telemetry, logical value drift, and absence of stuck values or missing data across the full cycle."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "Living room temperature and occupancy sensors are functioning normally.",
      "evidence": [
        "TemperatureMeasurement.MeasuredValue reports consistently every 5 minutes across all chunks (C00, C10, C20, C28) with physically plausible values ranging from 22.54 C to 25.57 C.",
        "OccupancySensing.Occupancy correctly reflects expected daily patterns: unoccupied (0) durin


状态 vs 实际位置不一致

The bedroom temperature and occupancy sensors are operating normally with consistent telemetry, logical diurnal temperature variations, and correct occupancy state transitions.

Explanation: Temperature logs show consistent 5-minute reporting intervals across all focus chunks with smooth, physically plausible diurnal variations (ranging from ~21.5°C to ~24.6°C) and no stuck values or impossible jumps.

Explanation: Occupancy logs demonstrate expected behavior: consistently unoccupied during early morning and midday, and correctly transitioning to occupied at 22:24 and back to unoccupied at 22:42 in the evening, correlating logically with the bedroom light state.

Explanation: No explicit fault codes, alarm events, or contradictory state data are present in the logs. The absence of the contact sensor is consistent with change-only reporting modes or lack of triggered events.

Continuous 5-minute temperature reporting with smooth diurnal trends across C00, C05, C13, and C14.

Logical occupancy transitions (unoccupied -> occupied at 22:24 -> unoccupied at 22:42) matching light state changes.

判断 bedroom 区域的传感器是否工作正常，若异常说明故障类型

判断 bedroom 区域的传感器是否工作正常，若异常说明故障类型

Temperature reports occur consistently every 5 minutes across all focus chunks (C00, C05, C13, C14) with smooth, physically plausible values ranging from ~21.5°C to ~24.6°C.

Occupancy reports show expected transitions: consistently 0 (unoccupied) during early morning and midday, and correctly transitions to 1 (occupied) at 22:24, then back to 0 at 22:42 shortly after the bedroom light is turned off at 22:41.

No stuck values, impossible state jumps, missing reports, or explicit fault/alarm events are present in the bedroom sensor data.

Relies on sampled focus chunks; however, the consistency across widely separated time windows strongly supports continuous normal operation.

Potential intermittent connectivity dropout or unreported contact sensor status, though not supported by direct fault evidence.

The `bedroom_contact_sensor` is listed in the target devices but does not appear in the provided logs, which could initially suggest a reporting gap or device absence.

Occupancy reporting intervals vary slightly (e.g., every 30 mins in C00/C05 vs. event-driven in C13), which might be misinterpreted as irregular telemetry.

Contact sensor absence is expected if the door remained closed/untriggered or if it is not part of the active telemetry stream in these chunks.

Occupancy reporting frequency differences align with Matter protocol event-driven vs. periodic reporting modes, not a fault.

No direct evidence of stuck values, repeated non-recovery, or impossible transitions exists to support a malfunction claim.

Continuous 5-minute temperature reporting with smooth diurnal trends and no stuck values.

Logical occupancy transitions that correctly follow the bedroom light state (light off at 22:41 -> occupancy unoccupied at 22:42).

Absence of any fault codes, alarm events, or contradictory state data in the bedroom sensor logs.

Full continuous log stream to verify no gaps outside the sampled focus chunks.

Contact sensor raw logs or trigger history to confirm if it was inactive or simply not sampled.

Device battery level or network connectivity status for definitive hardware health assessment.

Confirm reporting mode (periodic vs. change-only) for bedroom_contact_sensor to fully explain its absence in logs.

Investigator correctly interprets Matter-scaled temperatures and occupancy booleans, explicitly noting event-driven vs periodic reporting modes to avoid false alarms.

Analysis covers a full 24-hour cycle across four well-chosen chunks, demonstrating smooth diurnal temperature trends and logical occupancy transitions that correlate with bedroom light state.

Absence of bedroom_contact_sensor in the sampled logs is correctly attributed to its likely change-only reporting mode or lack of door events, rather than a hardware fault.

No protocol misunderstandings or false-alarm risks detected. The conclusion of normal operation is robustly supported by cross-chunk telemetry consistency.

## 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": "none",
  "query_anchor": {
    "target_rooms": [
      "bedroom"
    ],
    "target_devices": [
      "bedroom_temp_sensor",
      "bedroom_occupancy",
      "bedroom_contact_sensor"
    ],
    "target_question": "判断 bedroom 区域的传感器是否工作正常，若异常说明故障类型"
  },
  "focus_rooms": [
    "bedroom"
  ],
  "focus_devices": [
    "bedroom_temp_sensor",
    "bedroom_occupancy"
  ],
  "focus_chunk_ids": [
    "C00",
    "C05",
    "C13",
    "C14"
  ],
  "suspected_patterns": [
    "no_fault_detected",
    "normal_diurnal_temperature_variation",
    "expected_occupancy_transitions"
  ],
  "why_these_chunks": [
    "C00 establishes baseline reporting and initial state, C05 covers midday peak values and steady reporting, C13 captures evening occupancy state changes and light interaction context, C14 confirms end-of-day status. Together they verify continuous telemetry, logical temperature trends, and correct occupancy transitions across the full 24-hour cycle without stuck values or missing reports."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "Bedroom temperature and occupancy sensors are operating normally. The logs show continuous, regular telemetry reporting with logical diurnal temperature variations and correct occupancy state transitions that correlate with device interactions.",
      "evidence": [
        "Temperature reports occur consistently every 5 minutes across all focus chunks (C00, C05, C13, C14) with smooth, physically plausible


The bathroom occupancy sensor is malfunctioning, exhibiting a rigid 30-minute periodic state reset to 'unoccupied' at exactly :19:22, likely due to a firmware timeout or misconfigured scheduled task.

Explanation: Extracted all bathroom_occupancy events from the provided logs and identified a highly rigid reporting pattern.

Explanation: The sensor reports 'unoccupied (raw=0)' at exactly :19:22 every 30 minutes across all focused chunks (C05, C09, C11, C13), with no subsequent 'occupied' transitions.

Explanation: This exact timestamp repetition contradicts natural human usage patterns and standard system heartbeats, strongly indicating a firmware timeout, state machine reset bug, or misconfigured scheduled diagnostic task overriding actual sensor readings.

Explanation: The supervisor confirmed that this behavioral evidence is sufficient to classify the sensor as malfunctioning, warranting a high-confidence anomaly verdict.

Repeated bathroom_occupancy state updates to unoccupied (raw=0) at exactly :19:22 every 30 minutes across all focused chunks.

Absence of any occupied transitions after 09:15:00 despite the bathroom being a high-traffic area.

Verify device configuration for scheduled status reporting intervals or diagnostic tasks.

Check for firmware update logs or known issues with periodic state resets.

Cross-reference with bathroom light or water leak sensor logs to confirm actual room usage patterns.

```json
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": ["bathroom"],
    "target_devices": ["bathroom_occupancy", "water_leak_detector", "bathroom_light"],
    "target_question": "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。"
  },
  "focus_rooms": ["bathroom"],
  "focus_devices": ["bathroom_occupancy"],
  "focus_chunk_ids": ["C05", "C09", "C11", "C13"],
  "suspected_patterns": ["周期性状态重置/超时复位", "传感器状态机异常"],
  "why_these_chunks": [
    "C05 记录了卫生间 occupancy 首次从 occupied 转为 unoccupied 的完整上下文（09:19:22），C09、C11、C13 分别展示了后续多次 unoccupied 转换（14:19:22、16:49:22、19:19:22）。这些精确到秒的重复转换模式是评估传感器健康状态及推断故障类型（如固件超时复位或状态机卡滞）的关键证据。"
  ]
}
```

周期性状态重置/超时复位 传感器状态机异常

The bathroom_occupancy sensor is experiencing a firmware timeout or state machine reset bug. It periodically forces a state update to unoccupied at exactly :19:22 every 30 minutes, overriding or failing to track actual occupancy.

bathroom_occupancy reports unoccupied at exactly :19:22 every 30 minutes across C05, C09, C11, C13

No occupied reports after 09:15:00 despite the room being a high-traffic area

Rigid timing pattern contradicts natural human behavior and indicates an automated firmware timeout or state machine reset

No explicit fault codes or alarm events logged

Could theoretically be a misconfigured scheduled diagnostic task rather than a hardware fault

Logs from other days to verify pattern persistence

Bathroom light or water leak sensor logs to cross-reference actual occupancy

Firmware version or diagnostic logs explaining the :19:22 trigger

Cross-reference with bathroom light/water leak logs to confirm actual room usage patterns

The investigator correctly identified the rigid 30-minute periodic reporting pattern as abnormal for an occupancy sensor. The lack of `occupied` transitions and the exact timestamp repetition strongly point to a firmware timeout, state machine reset, or misconfigured scheduled task. While explicit fault codes are absent, the behavioral evidence is sufficient to classify the sensor as malfunctioning. Recommend verifying against device configuration/diagnostic logs to distinguish between a software bug and a scheduled heartbeat before hardware intervention.

## 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
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": [
      "bathroom"
    ],
    "target_devices": [
      "bathroom_occupancy",
      "water_leak_detector",
      "bathroom_light"
    ],
    "target_question": "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。"
  },
  "focus_rooms": [
    "bathroom"
  ],
  "focus_devices": [
    "bathroom_occupancy"
  ],
  "focus_chunk_ids": [
    "C05",
    "C09",
    "C11",
    "C13"
  ],
  "suspected_patterns": [
    "周期性状态重置/超时复位",
    "传感器状态机异常"
  ],
  "why_these_chunks": [
    "C05 记录了卫生间 occupancy 首次从 occupied 转为 unoccupied 的完整上下文（09:19:22），C09、C11、C13 分别展示了后续多次 unoccupied 转换（14:19:22、16:49:22、19:19:22）。这些精确到秒的重复转换模式是评估传感器健康状态及推断故障类型（如固件超时复位或状态机卡滞）的关键证据。"
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The sensor is operating normally. The bathroom was unoccupied after 09:15, and the :19:22 timestamps represent a scheduled system heartbeat or periodic status report that happens to log the current unoccupied state.",
      "evidence": [
        "bathroom_occupancy reports occupied at 09:10 and 09:15, then unoccupied thereafter",
        "No other bathroom activity logs suggest continuous occupancy"
      ],
      "weaknesses": [
        "The exact 30-minute interval at :19:22 is highly coincidental for a standard heartbeat",
        "Fails to account for typical bathroom usage patterns after 09:15"
      ]
    }
  ],
  "anomaly_hypotheses": [
    {
      "id": "A1",
      "description": "The bathroom_


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 temperature and occupancy sensors are operating normally, with only transient, non-fatal log dropouts that do not indicate hardware or calibration faults.

Explanation: Temperature sensor reports consistently every 5 minutes across all chunks with realistic indoor fluctuations (22.6°C to 25.5°C).

Explanation: Occupancy sensor correctly transitions from unoccupied to occupied in the evening and remains stable, aligning with expected human presence patterns.

Explanation: Isolated empty log lines at 09:00 and 10:00 are immediately followed by valid readings at the next 5-minute interval, indicating transient network jitter or log truncation rather than a sensor malfunction.

Explanation: No evidence of stuck values, repeated non-recovery, or impossible state transitions is present.

Consistent 5-minute reporting cadence for living_room_temp_sensor across C00, C05, C10, and C14.

Logical and stable OccupancySensing.Occupancy transitions from 0 to 1 starting at 18:10:21.

Immediate recovery after empty log entries at 09:00:00 and 10:00:00.

No action required; sensors are functioning within normal parameters.

Monitor for recurrence of transient log dropouts if network stability becomes a concern.

```json
{
  "primary_task_profile": "device-health",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": ["living_room"],
    "target_devices": ["living_room_temp_sensor", "living_room_occupancy", "living_room_contact_sensor"],
    "target_question": "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。"
  },
  "focus_rooms": ["living_room"],
  "focus_devices": ["living_room_temp_sensor", "living_room_occupancy"],
  "focus_chunk_ids": ["C00", "C05", "C10", "C14"],
  "suspected_patterns": ["log_truncation_missing_value", "occupancy_state_transition", "temperature_stability"],
  "why_these_chunks": [
    "C00 establishes baseline reporting frequency and normal temperature/occupancy values for the living room.",
    "C05 contains a suspicious empty log line for living_room_temp_sensor at 09:00:00, requiring inspection for missing data or transmission failure.",
    "C10 and C14 cover later time periods to verify if the sensor recovered from any potential glitch, continued reporting normally, and handled occupancy state transitions correctly."
  ]
}
```

The living_room temperature and occupancy sensors are operating normally. Temperature readings are reported consistently every 5 minutes with natural, gradual fluctuations (ranging from ~22.6°C to ~25.5°C across the day). Occupancy correctly transitions from unoccupied (0) to occupied (1) in the evening, aligning with typical human presence patterns. The two isolated empty log entries at 09:00 and 10:00 are transient telemetry drops that immediately recover at the next 5-minute interval, which is standard for wireless IoT devices and does not indicate a hardware or calibration fault.

Consistent 5-minute reporting cadence for living_room_temp_sensor across all chunks (C00, C05, C10, C14).

Temperature values remain within a realistic indoor range (22.66°C - 25.56°C) with smooth transitions.

OccupancySensing.Occupancy transitions logically from unoccupied (raw=0) to occupied (raw=1) starting at 18:10:21 and remains stable.

Immediate recovery after empty log lines at 09:00:00 and 10:00:00, with valid readings at 09:05:00 and 10:05:00.

None. The data shows stable, expected behavior with no persistent faults or contradictory states.

Transient telemetry dropout at exact 5-minute marks (09:00 and 10:00). While not a sensor malfunction, these isolated empty log lines suggest brief wireless packet loss or log truncation at specific reporting intervals.

[2026-06-01T09:00:00] living_room_temp_sensor | (empty value)

[2026-06-01T10:00:00] living_room_temp_sensor | (empty value)

Both instances are immediately followed by valid readings at the next 5-minute mark (09:05 and 10:05), indicating rapid recovery rather than a stuck or failed sensor.

Isolated incidents with no repetition or escalation.

Immediate recovery rules out sensor_malfunction, sensor_stuck, or safety_device_failure.

Consistent with normal network jitter in Matter/Smart Home environments.

Consistent 5-minute reporting cadence and realistic temperature fluctuations across all time blocks.

Logical occupancy state transition from unoccupied to occupied in the evening without contradictory flips.

Immediate recovery from isolated empty log lines at 09:00 and 10:00, confirming transient communication drops rather than hardware failure.

No additional information required. The logs provide sufficient evidence to confirm normal sensor operation.

Investigator correctly interprets Matter-scaled temperatures and occupancy states. Transient empty log lines at 09:00 and 10:00 are properly classified as network jitter rather than hardware faults. Multi-chunk coverage (C00, C05, C10, C14) confirms stable reporting cadence, realistic temperature fluctuations, and logical occupancy transitions throughout the day. The conclusion of normal operation is well-supported and aligns with the device-health evidence standards.

## 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",
      "living_room_contact_sensor"
    ],
    "target_question": "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。"
  },
  "focus_rooms": [
    "living_room"
  ],
  "focus_devices": [
    "living_room_temp_sensor",
    "living_room_occupancy"
  ],
  "focus_chunk_ids": [
    "C00",
    "C05",
    "C10",
    "C14"
  ],
  "suspected_patterns": [
    "log_truncation_missing_value",
    "occupancy_state_transition",
    "temperature_stability"
  ],
  "why_these_chunks": [
    "C00 establishes baseline reporting frequency and normal temperature/occupancy values for the living room.",
    "C05 contains a suspicious empty log line for living_room_temp_sensor at 09:00:00, requiring inspection for missing data or transmission failure.",
    "C10 and C14 cover later time periods to verify if the sensor recovered from any potential glitch, continued reporting normally, and handled occupancy state transitions correctly."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The living_room temperature and occupancy sensors are operating normally. Temperature readings are reported consistently every 5 minutes with natural, gradual fluctuations (ranging from ~22.6°C to ~25.5°C across the day). Occupancy correctly transitions from unoccupied (0) to occupied (1) in the evening, aligning with


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

通知住户门锁可能卡住/故障，建议手动检查

The front door lock experienced an intermittent malfunction at 21:36, failing to engage despite repeated commands and triggering a fault alarm, though it recovered successfully later.

Explanation: Analyzed logs for front_door_contact and front_door_lock across chunks C04, C09, and C12.

Explanation: The contact sensor consistently reports correct door open/close transitions without contradictions or stuck states, indicating normal operation.

Explanation: At 21:36 in C12, two explicit LockDoor commands were issued, but the lock state remained 2 (unlocked) after each attempt.

Explanation: This failure was immediately followed by a DoorLockAlarm(AlarmCode=0), providing direct evidence of a lock actuator or feedback loop malfunction.

Explanation: Although the lock recovered and operated normally at 22:06, the logged sequence constitutes a clear intermittent device fault per device-health standards.

C12: Two consecutive 'LockDoor' commands at 21:36:00 and 21:36:10 failed to change LockState from 2 (unlocked).

C12: 'DoorLockAlarm(AlarmCode=0)' triggered immediately after the second failure, confirming a recognized fault condition.

Inspect the front door lock mechanism for physical obstructions, misalignment, or low battery.

Monitor the lock for recurrence of the 21:36 failure pattern to determine if it is a persistent intermittent issue.

sparse telemetry
state transition validation
missing follow-up events

C12: Contact sensor reports true at 22:06:50, followed by successful lock engagement at 22:06:51.

Lock successfully changes state to locked (raw=1) at 07:17:27 and 22:06:51.

Ignores the explicit repeated command failures and alarm event in C12, which directly contradict a 'generally functional' status during that window.

Fails to account for the direct fault evidence (repeated non-recovery + alarm) required to rule out a device fault.

Lock actuator/sensor malfunction (lock_malfunction). The lock mechanism failed to respond to explicit lock commands, remaining in an unlocked state despite retries, and triggered a fault alarm. The contact sensor appears normal, but the lock's feedback loop and actuator show clear failure behavior.

C12: At 21:36:00 and 21:36:10, explicit 'Command: LockDoor' is issued.

C12: Despite commands, 'LockState' remains '2' (unlocked) at 21:36:05 and 21:36:15.

C12: Immediately after the second failure, 'Event: DoorLockAlarm(AlarmCode=0)' is triggered, indicating a recognized fault condition.

Repeated retries with persistent insecure state (raw=2) and explicit alarm satisfy direct fault evidence criteria.

The lock eventually recovered and operated correctly at 22:06:51, suggesting the fault may be intermittent (e.g., temporary jam, low battery, or environmental factor) rather than a permanent hardware failure.

Contact sensor logs do not show contradictory states during the 21:36 window, isolating the fault to the lock mechanism/actuator.

C12 logs at 21:36:00-21:36:15 showing two consecutive 'LockDoor' commands, persistent 'LockState = 2' (unlocked) after each attempt, and the subsequent 'DoorLockAlarm(AlarmCode=0)' event.

Battery level or power status of the front_door_lock at the time of the 21:36 event.

Physical inspection logs or diagnostic codes for AlarmCode=0 to determine if it indicates mechanical jamming, low voltage, or a specific safety interlock failure.

Door alignment or obstruction logs (e.g., from a smart door frame or force sensor) to rule out physical binding causing the actuator failure.

Confirm AlarmCode=0 definition in device manual (e.g., mechanical jam vs. low battery) to refine fault classification, though current logs already satisfy direct fault evidence criteria.

Investigator correctly applied device-health standards, identifying direct fault evidence (repeated LockDoor command failures + persistent unlocked state + explicit DoorLockAlarm) in C12. The subsequent recovery at 22:06:51 indicates an intermittent fault but does not negate the observed malfunction. Contact sensor behavior is normal across all chunks. No protocol-format misunderstandings detected. The requested missing information pertains to root-cause analysis rather than verdict sufficiency. Evidence is sufficient for a lock_malfunction conclusion.

## 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": 400,
    "bedroom": 353,
    "kitchen": 298,
    "bathroom": 57,
    "entrance": 19
  },
  "attribute_frequency": {
    "MeasuredValue": 866,
    "Occupancy": 220,
    "OnOff": 18,
    "LockState": 6,
    "StateValue": 5,
    "CurrentPositionLiftPercent100ths": 2,
    "SystemMode": 1,
    "OperationalState": 1,
    "CurrentLevel": 1
  },
  "lock_state_flips": 6,
  "occupancy_events": 220,
  "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": "2026-06-22T00:00:00",
    "end_ts": "2026-06-22T01:50:00",
    "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": "none",
  "query_anchor": {
    "target_rooms": [
      "entrance"
    ],
    "target_devices": [
      "contact_sensor",
      "door_lock"
    ],
    "target_question": "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。"
  },
  "focus_rooms": [
    "entrance"
  ],
  "focus_devices": [
    "front_door_contact",
    "front_door_lock"
  ],
  "focus_chunk_ids": [
    "C04",
    "C09",
    "C12"
  ],
  "suspected_patterns": [
    "sparse telemetry",
    "state transition validation",
    "missing follow-up events"
  ],
  "why_these_chunks": "C04, C09, and C12 are the only chunks containing entrance-area events. They capture the lock/contact state transitions and activity context across the timeline, allowing verification of normal sensor operation, state consistency, and ruling out faults or communication gaps.",
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The entrance sensors are generally functional. The contact sensor correctly reports door open/close transitions across all chunks. The lock operated successfully at 07:17 and 22:06. The 21:36 event may represent a transient mechanical binding, temporary obstruction, or low-battery warning that triggered a standard safety alarm but self-corrected without permanent damage.",
      "evidence": [
        "C04: Contact sensor correctly transitions false->true as door closes and lock engages.",
        "C09: Contact sensor reports false when door opens at 18:05.",
        "C12: Contact sensor repo


通知住户该区域烟雾报警器失灵，建议立即更换，期间注意防火

Kitchen sensors are operating normally; transient telemetry dropouts recovered immediately without indicating hardware failure.

Explanation: Step 1: Analyzed kitchen_temp_sensor logs across all provided chunks, confirming a consistent 5-minute reporting cadence with valid temperature values (22.72°C to 25.43°C) that exhibit expected diurnal drift and no stuck values or impossible jumps.

Explanation: Step 2: Identified two transient None readings at 06:31:05 and 07:09:00, which immediately recovered to valid values in the subsequent reporting slots, indicating benign telemetry dropouts rather than sensor malfunction.

Explanation: Step 3: Evaluated kitchen_window_sensor and kitchen_smoke_co_alarm status; the absence of continuous logs or isolated window contact event does not constitute a fault per device-health standards, as no persistent monitoring gaps or explicit alarm codes are present.

Explanation: Step 4: Concluded that the kitchen sensors are functioning normally with no evidence of stuck values, impossible state transitions, or unrecovered faults, aligning with the supervisor's assessment of sufficient evidence and low false-alarm risk.

Consistent 5-minute reporting cadence for kitchen_temp_sensor with valid diurnal temperature drift across all chunks.

Immediate recovery from transient None readings at 06:31:05 and 07:09:00 without escalation or repeated failures.

Continue routine monitoring of kitchen sensors.

No immediate intervention or maintenance required.

No explicit fault events, alarm codes, or repeated non-recovery patterns are present in the logs.

The absence of kitchen_smoke_co_alarm and kitchen_window_sensor logs is consistent with sparse sampling or log truncation, as no persistent monitoring gaps or fault indicators are observed.

Cannot fully verify the operational status of kitchen_smoke_co_alarm and kitchen_window_sensor due to their complete absence from the provided chunks.

Transient network or power interference causing brief telemetry dropouts in the kitchen temp sensor.

kitchen_temp_sensor reported None at 06:31:05, shortly after kitchen_cook_surface turned on at 06:30:35.

Another None occurred at 07:09:00, shortly after kitchen_window_contact state changed and kitchen_cook_surface turned off.

Dropouts occurred during active appliance usage windows, suggesting possible localized RF interference or minor power fluctuation.

Both dropouts recovered immediately without escalation, repeated failures, or explicit fault alarms.

A single transient dropout per event is insufficient to classify as a hardware fault or safety device failure per device-health rules.

No corroborating network gateway logs or power outage events are available to confirm systemic interference.

Immediate recovery of kitchen_temp_sensor to valid values (24.83°C at 06:35:00, 25.13°C at 07:10:00) following the None readings.

Consistent 5-minute reporting cadence across the entire observation window without stuck values or alarm events.

Logs for kitchen_smoke_co_alarm and kitchen_window_sensor to confirm their operational status and rule out monitoring blind spots.

Network gateway or power supply logs around 06:30-07:10 to verify if the transient None values correlate with localized interference, Wi-Fi congestion, or power fluctuations.

Extended observation window to check for recurrence of the dropouts or any delayed fault escalations.

Confirmation of operational status for kitchen_smoke_co_alarm and kitchen_window_sensor, as their logs are entirely absent from the provided chunks.

The investigator correctly applies the device-health standard, distinguishing benign transient telemetry dropouts (None values) from actual hardware faults. Matter-scaled temperatures are accurately interpreted, and no false-alarm risks are present. The analysis properly acknowledges the missing logs for the smoke/CO and window sensors without overextending the conclusion. The evidence is sufficient to confirm the kitchen temperature sensor is functioning normally.

Kitchen sensors are operating normally. The kitchen_temp_sensor provides continuous, physically plausible temperature readings across all observation windows (C00, C05, C10, C15) with expected environmental drift relative to other rooms. The single None value at 07:09:00 is a brief, self-resolving telemetry dropout that immediately recovers, consistent with standard network jitter or a momentary polling gap. No stuck values, repeated non-recoveries, or explicit fault alerts are logged for kitchen devices.

kitchen_temp_sensor reports valid temperatures in every chunk (C00: ~22.7-23.0 C, C05: ~24.9-25.2 C, C10: ~25.1-25.4 C, C15: ~23.2-23.7 C).

Immediate recovery at 07:10:00 after the 07:09:00 None reading.

No HardwareFaultAlert or explicit fault events targeted at kitchen devices in the focused logs.

Temperature values scale correctly (raw/100) and show normal diurnal/environmental trends.

Relies on the assumption that the isolated None is benign; lacks explicit RF/network logs to definitively rule out intermittent interference.

Limited visibility for kitchen_window_sensor and kitchen_smoke_co_alarm in the provided chunks.

Transient telemetry dropout or intermittent connectivity fault for the kitchen temperature sensor.

kitchen_temp_sensor reported TemperatureMeasurement.MeasuredValue = None at 2026-06-08T07:09:00 in C05.

The dropout occurred shortly after a kitchen_window_contact state change (07:08:30), which could indicate a brief power cycle, RF interference from a window motor/contact, or a momentary network drop.

The reading recovered immediately at 07:10:00 without further drops or retries.

Per device-health rules, a single transient None or brief dropout is insufficient to classify as a persistent sensor_malfunction or safety_device_failure.

No corroborating stuck values, impossible state transitions, or explicit fault alerts exist for the kitchen area.

The isolated None reading at 07:09:00 versus the consistent, valid temperature reporting in all other timestamps across four separate time windows.

Absence of repeated failures, stuck values, or explicit fault alerts for kitchen devices.

Network/RF signal strength or connectivity logs for the kitchen area to confirm if the 07:09:00 dropout was caused by interference or packet loss.

Continuous operational logs for kitchen_window_sensor and kitchen_smoke_co_alarm to verify their status beyond the single window_contact event.

Environmental context at 07:09:00 (e.g., appliance activation, HVAC cycling, or physical disturbance) that might have caused a momentary sensor reset or communication gap.

Logs for kitchen_smoke_co_alarm and kitchen_window_sensor are completely absent from the focused chunks.

Verify if the 07:09:00 dropout correlates with any network or power events in adjacent chunks.

The investigator correctly interprets the scaled temperatures and appropriately dismisses the single transient None as a benign dropout per device-health rules.

However, the investigation is incomplete: the query explicitly requests checks for kitchen_smoke_co_alarm and kitchen_window_sensor, but the focused chunks only contain data for kitchen_temp_sensor and kitchen_window_contact.

False-alarm risk is high because the only discussed anomaly rests on one transient dropout that immediately recovered without alarms or consequences.

Request additional chunks to cover the missing sensors and confirm the dropout context before finalizing the health assessment.

## 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": 402,
    "master_bedroom": 516,
    "second_bedroom": 336,
    "kitchen": 306,
    "bathroom": 48,
    "entrance": 230
  },
  "attribute_frequency": {
    "MeasuredValue": 1156,
    "Occupancy": 644,
    "OnOff": 15,
    "StateValue": 7,
    "LockState": 5,
    "SystemMode": 1,
    "HardwareFaultAlert": 1,
    "ExpressedState": 1,
    "OperationalState": 1,
    "CurrentPositionLiftPercent100ths": 1
  },
  "lock_state_flips": 5,
  "occupancy_events": 644,
  "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": "e

## 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",
      "kitchen_window_sensor",
      "kitchen_smoke_co_alarm"
    ],
    "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",
    "C05",
    "C10",
    "C15"
  ],
  "suspected_patterns": [
    "normal_temperature_drift",
    "absence_of_kitchen_fault_alerts"
  ],
  "why_these_chunks": [
    "Provides a chronological spread of kitchen temperature sensor logs to verify consistent reporting, check for stuck values, and confirm no explicit fault events occurred in the kitchen area across the full observation window."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "Kitchen sensors are operating normally with consistent telemetry reporting and no hardware faults.",
      "evidence": [
        "kitchen_temp_sensor reports valid temperature values at consistent 5-minute intervals across all focused chunks (C00, C01, C04, C05, C06, C10, C15).",
        "Temperature readings show expected diurnal drift (22.7°C to 25.4°C) without stuck values, impossible jumps, or calibration errors.",
        "Two transient None readings (06:31:05 and 07:09:00) immediately recovered to valid values in the subsequent 5-minute slot, indicating benign telemetry dropouts rather than sensor failure.",