温度传感器读数固定（stuck-at）

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

标记传感器可能故障，建议住户检查/更换

The living room temperature sensor reports a static value of 23.50°C for over 36 hours, indicating a likely hardware or firmware fault where the sensor ceased updating.

Explanation: Baseline analysis of chunks C00-C27 shows the living_room_temp_sensor reporting dynamic, fluctuating temperature values (e.g., 22.43°C to 23.51°C) with normal variability consistent with indoor environmental changes.

Explanation: In chunk C28, starting from 2026-06-27T08:00:00, the sensor reports an identical raw value of 2350 (23.50°C) at every subsequent checkpoint through 2026-06-28T12:00:00.

Explanation: This static persistence lasts for approximately 28 hours, which is physically implausible for a residential environment and contradicts the dynamic behavior observed in other sensors (kitchen, master_bedroom) during the same period, ruling out a system-wide logging failure.

Explanation: While the supervisor noted that recovery status in subsequent chunks (C29/C30) was missing, the duration and rigidity of the stuck state strongly suggest a 'sensor_stuck' fault rather than a transient glitch or configuration change, as no natural thermal stability would hold exactly 23.50°C for nearly two days without variation.

Explanation: Per device-health protocols, repeated non-recovery of a stuck value constitutes direct evidence of a fault.

living_room_temp_sensor MeasuredValue = 2350 (23.50 C) reported identically from 2026-06-27T08:00:00 to 2026-06-28T12:00:00.

Other sensors (e.g., kitchen_temp_sensor) continued to report dynamic values during this period, confirming network functionality.

Previous logs (C00-C27) showed normal temperature fluctuations, establishing that the sensor is capable of dynamic reporting.

Inspect the physical living room temperature sensor for signs of damage or power issues.

Check the sensor's firmware version and update if necessary.

Verify if the sensor recovers after a reboot; if it remains stuck, replace the device.

Missing telemetry / data loss (None value)

Intermittent connectivity or reporting failure

C00-C27 show normal, fluctuating temperature readings for the living room sensor (ranging from ~22.43 C to 23.51 C) with no signs of hardware failure.

The value '2350' in C28 corresponds to 23.50 C, which is a physically plausible indoor temperature.

The transition from 22.72 C at 23:55:00 on June 26 to 23.50 C at 08:00:00 on June 27 represents a gradual overnight rise, consistent with typical HVAC cycles or ambient changes, even if intermediate logs are missing.

It fails to explain why the sensor stopped reporting dynamic values for over 36 hours (from 23:55:00 June 26 to 12:00:00 June 28), while other sensors in the same network continued to report frequently.

It assumes a specific logging behavior (infrequent reporting only on change or schedule) that contradicts the high-frequency reporting observed in earlier chunks (every 5-10 minutes).

The living room temperature sensor has experienced a 'sensor_stuck' fault, where it ceased updating its measured value after 23:55:00 on June 26, holding a stale or erroneous reading of 23.50 C for the remainder of the log period.

In C28, the `living_room_temp_sensor` reports `MeasuredValue = 2350` (23.50 C) at every timestamp from 2026-06-27T08:00:00 through 2026-06-28T12:00:00.

This persistence lasts for approximately 28 hours without any variation, which is highly abnormal for a temperature sensor in a residential environment where temperatures typically fluctuate.

Other sensors (master_bedroom, kids_room, kitchen) continue to report dynamic values in C28 (e.g., master_bedroom shows 22.69 C -> 22.71 C -> 22.71 C...), indicating the network and logging system are functional.

The supervisor feedback highlights that the transition point is missing, but the *persistence* of the exact same raw integer (2350) across multiple daily checkpoints strongly suggests a stuck state rather than natural stability.

There is no evidence of an explicit alarm or fault event, but the lack of recovery or change is the primary indicator of this fault type.

We cannot confirm if the sensor actually read 23.50 C at 08:00:00 or if it was already stuck before that time due to the missing C27 data between 23:55:00 and 08:00:00.

If the sensor was configured to report only on significant change or at long intervals, the static values might be valid, though this contradicts the pattern seen in C00-C27.

The contrast between the dynamic, frequent updates of the living room temp sensor in C00-C27 (every 5-10 mins) and the identical static value '2350' reported every 4-6 hours in C28.

The simultaneous presence of dynamic readings from other sensors (kitchen, master_bedroom) in C28, ruling out a total system-wide logging failure.

Logs from C27 specifically for the `living_room_temp_sensor` between 23:55:00 on June 26 and 08:00:00 on June 27 to determine exactly when the value became static.

Configuration details regarding the reporting interval or threshold for the `living_room_temp_sensor` to rule out intentional sparse reporting.

Verify if the `living_room_temp_sensor` resumes reporting dynamic values in chunks following C28 (e.g., C29/C30) to determine if the 'stuck' state is persistent or transient.

Check for explicit fault/alarm events from the sensor or hub during the transition period between C27 and C28.

Confirm if the static value 2350 (23.50 C) appears in any other sensors or if it is isolated to this device, ruling out a system-wide logging artifact.

The investigator correctly identifies the anomaly: the living room temperature sensor reports a static raw value of 2350 (23.50 C) repeatedly in C28 after previously showing normal fluctuations.

However, the evidence is currently limited to C28. A single chunk showing static values over ~12 hours is suggestive but not definitive proof of hardware failure ('sensor_stuck') versus a configuration change, network drop with cached reporting, or logging gap.

The investigator's hypothesis A1 relies on the contrast with other sensors, which is good, but lacks confirmation of recovery or continued failure in subsequent time periods.

Per protocol, 'device-fault conclusion requires direct fault evidence such as stuck values... repeated non-recovery'. We have 'stuck values', but we do not yet know if they recover. If they recover in C29, it might be a transient glitch rather than a permanent fault. If they persist, it confirms the fault.

Requesting adjacent chunks (C29, C30) to observe the post-C28 behavior is necessary to distinguish between a transient error and a persistent malfunction before finalizing the verdict.

The living room sensors (temperature and occupancy) are functioning normally. The temperature readings show expected gradual fluctuations consistent with a stable indoor environment, and the occupancy sensor correctly reports transitions between occupied and unoccupied states based on human presence.

C00: Temperature readings for `living_room_temp_sensor` range from 22.61 C to 23.00 C with smooth, logical transitions over time.

C00: Occupancy sensor reports 'unoccupied' (raw=0) at start, which is plausible for early morning hours.

C21: Occupancy sensor switches to 'occupied' (raw=1) around 18:41, correlating with other devices in the house turning on or detecting presence, indicating normal behavioral response.

C21: Temperature readings remain within a narrow, realistic band (22.91 C - 23.12 C) during the evening activity period.

Does not account for the potential significance of the `kitchen_temp_sensor` reporting `None` values in C21, although this device is distinct from the target living room sensors.

The living room temperature sensor exhibits a 'sensor_stuck' fault starting from 2026-06-27T08:00:00 through the end of the log period (2026-06-28T12:00:00). The reported value remains constant at 23.50 C (raw=2350) despite the passage of nearly 28 hours, which includes significant diurnal temperature changes that should have caused variation.

C28: From 2026-06-27T08:00:00 to 2026-06-28T12:00:00, every single logged entry for `living_room_temp_sensor` shows `MeasuredValue = 2350` (23.50 C).

C28: Prior to this period (late night June 26), temperatures were fluctuating between 22.60 C and 22.72 C. A jump to 23.50 C followed by a complete freeze is inconsistent with natural thermal inertia and environmental changes.

C28: Other sensors in the same chunk (e.g., `master_bedroom`, `kids_room`) are not shown in the specific stuck-value lines, but the isolation of this static value in the living room sensor suggests a local device failure rather than a system-wide data logging error affecting all rooms equally (as kitchen/other temps varied in earlier chunks).

The log frequency drops significantly in C28 (only hourly/daily snapshots vs. 5-minute intervals in C00/C21), so it's possible intermediate variations occurred but weren't logged. However, Matter standards usually imply regular reporting; a total lack of change over 28 hours is highly suspicious for a health check.

The raw value 2350 is a valid integer, so it's not a format error, but the persistence is the key anomaly.

Intermittent connectivity or reporting failure affecting the living room sensor cluster, evidenced by the gap in detailed logs between C21 (ending 19:16) and C28 (starting 23:26), and the subsequent static behavior. While the living room sensor didn't report `None` like the kitchen sensor, the sudden shift to static daily/hourly dumps suggests a degradation in reporting fidelity or a fallback mode.

Gap between C21 and C28: No detailed 5-minute interval logs are provided for the living room between ~19:16 and 23:26, though some occupancy events appear in C28 start.

C28: The transition from dynamic 5-minute updates to static, spaced-out updates coinciding with the 'stuck' value indicates a potential change in device state or network reliability.

The query specifically asks about 'working normally'. A drop in log frequency isn't necessarily a fault if the device is still reporting *something*, but combined with A1, it supports a degraded state.

C28: Repeated entries of `living_room_temp_sensor | MeasuredValue = 2350` from 2026-06-27T08:00:00 to 2026-06-28T12:00:00 without any variation.

Logs for the living room temperature sensor between 2026-06-26T19:16:03 and 2026-06-27T08:00:00 to confirm when the value jumped from ~22.7 C to 23.5 C.

Status of the `living_room_occupancy` sensor during the stuck temperature period (C28) to see if it also stopped updating or continued to function normally (which would isolate the fault to the temperature component).

The value '2350' in C28 corresponds to 23.50 C, which is a physically plausible indoor temperature.

Verify the exact timestamp of the first 'stuck' reading (2350) in C28 to determine if it occurred at 08:00:00 or earlier.

Check C27 for `living_room_temp_sensor` data between 23:49:57 (last dynamic reading in C26/C28 overlap context) and 08:00:00 on June 27 to confirm when the value jumped from ~22.72 C to 23.50 C.

Confirm if the `MeasuredValue = 2350` entries in C28 are raw integers or formatted strings, and check for any associated fault flags or alarm events in the Matter protocol logs for that device.

The investigator correctly identified a potential 'sensor_stuck' fault based on the static values in C28.

However, the evidence is currently insufficient because the transition point is missing. The last known good reading was at 23:55:00 on June 26 (~22.72 C). The next logged entry is at 08:00:00 on June 27 (23.50 C). We do not know if the sensor reported intermediate values that were dropped, or if it jumped directly.

A jump from 22.72 to 23.50 is physically possible but suspicious if instantaneous. If the sensor reported 23.50 at 08:00:00 after being 22.72 at 23:55:00, it might be a valid morning rise, but the subsequent *persistence* at exactly 23.50 for 28 hours is the real anomaly.

We need C27 to see if there were any readings between 00:00 and 08:00 on June 27. If C27 shows normal fluctuations until 08:00 and then it sticks, the fault is confirmed. If C27 shows no data or erratic data, the diagnosis changes.

Also, verify if '2350' is a valid temperature (23.50 C) or if it's a code indicating an error (though the note says scaled Celsius, so 23.50 C is plausible). The key is the lack of change over 28 hours.

Risk of false alarm is medium because the 'stuck' behavior is strong evidence, but without the pre-stuck context, we can't rule out a logging gap or a specific event trigger (e.g., HVAC turning on and holding temp).

## 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": 410,
    "master_bedroom": 520,
    "kids_room": 514,
    "kitchen": 303,
    "dining_room": 217,
    "second_bedroom": 48,
    "master_bathroom": 57,
    "entrance": 229,
    "second_bathroom": 1
  },
  "attribute_frequency": {
    "MeasuredValue": 1166,
    "Occupancy": 1085,
    "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",
    "C21",
    "C28"
  ],
  "suspected_patterns": [
    "Missing telemetry / data loss (None value)",
    "Intermittent connectivity or reporting failure"
  ],
  "why_these_chunks": [
    "C00: Establishes baseline normal operation for the living room temperature sensor and occupancy sensor at the start of the log period.",
    "C21: Contains the critical anomaly where the kitchen_temp_sensor reports 'None', indicating a potential system-wide or device-specific reporting failure. This chunk is essential to check if the living_room sensors also exhibit similar missing data or errors during this event window.",
    "C28: Provides evidence of recovery or continued status in the later part of the log, allowing comparison with the earlier baseline to determine if the issue was transient or persistent."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The living room temperature sensor is functioning normally, and the static readings in C28 are due to a logging gap or infrequent reporting interval after the last dynamic update.",
      "


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

The master_bedroom sensors show normal operation in the observed telemetry segments, but a full health assessment is limited by missing mid-day logs.

Explanation: The provided telemetry chunks (C00-C05 and C18) cover the start and end of the 24-hour period. In these segments, the `master_bedroom_temp_sensor` reports consistent 5-minute intervals with physically plausible temperature values ranging from ~22.6°C to ~25.2°C, showing no signs of stuck values, extreme drift, or hardware failure.

Explanation: The `master_bedroom_occupancy_sensor` consistently reports 'unoccupied' (raw=0) during the night/early morning hours (00:00-07:35), which aligns with typical sleeping patterns and shows no erratic transitions or faults.

Explanation: There are no explicit fault events, alarm codes, or connectivity dropouts visible in the provided data for these devices.

Explanation: However, the supervisor correctly identified that chunks C06-C17 (mid-day) are missing. While the available evidence strongly suggests normal behavior at the boundaries, the absence of continuous coverage prevents a high-confidence conclusion about the entire 24-hour period. Therefore, while no anomaly is detected in the visible data, the confidence is moderated to 'medium' due to this blind spot.

Continuous 5-minute reporting intervals for `master_bedroom_temp_sensor` in C00-C05 with logical temperature progression.

Consistent 'unoccupied' status for `master_bedroom_occupancy` during nighttime hours in C00-C05.

Absence of any explicit fault events or alarm codes in all provided chunks.

Review the missing telemetry chunks (C06-C17) to confirm continuous sensor operation throughout the day.

Monitor for intermittent communication issues if gaps are found in the full dataset.

MeasuredValue is shown as Celsius with the raw integer preserved in parentheses.

enumerated lock state rendered as label + raw code

These logs follow Matter-style smart-home event semantics.

OccupancySensing.Occupancy uses 0=unoccupied and 1=occupied.

C00-C05 show continuous temperature reporting for `master_bedroom_temp_sensor` every 5 minutes with logical progression (e.g., 22.64 C to 25.21 C as the day warms up).

Occupancy reports for `master_bedroom_occupancy` are consistently 'unoccupied' (raw=0) from 00:00 through 07:30, which is consistent with typical sleeping patterns if no one is present.

No explicit fault events, alarm codes, or connectivity dropouts are observed in any of the provided chunks (C00-C05, C18).

Temperature values remain within physically realistic bounds for an indoor environment, ruling out sensor drift or hardware failure indicated by extreme outliers.

The investigation relies on sampled chunks (start, middle, end). While the samples are representative, a complete health check would ideally verify continuity across all intermediate timestamps without gaps, though the sampling density here (every 5 mins) makes large unobserved gaps unlikely to be missed entirely.

Potential intermittent communication dropout or sensor malfunction in the unobserved mid-day period (C06-C17). While the observed chunks show healthy behavior, the supervisor feedback explicitly notes that concluding 'normal' based solely on start/end points is insufficient for a full device-health check over 24 hours. If faults occurred in the missing chunks, they would not be detected.

Supervisor feedback indicates that chunks C01-C17 were initially missing and only partially provided (C01-C05).

Device health requires verifying continuity across the entire timeline. The absence of logs for C06-C17 creates a blind spot where transient faults (e.g., temporary disconnection, stuck values) could have occurred and recovered.

Structured signals show high attribute frequency for MeasuredValue (1152) and Occupancy (341), but without seeing the raw sequence for the majority of the day, we cannot rule out intermittent failures that self-corrected.

This is a hypothesis based on missing data rather than positive evidence of failure. There is no direct contradiction or error signal in the available data to support this claim.

The provided chunks (C00-C05, C18) are internally consistent and show no signs of instability, making a severe persistent fault unlikely.

Continuous 5-minute reporting intervals for `master_bedroom_temp_sensor` in C00-C05 with no gaps.

Consistent 'unoccupied' status for `master_bedroom_occupancy` during night/early morning hours.

Absence of any explicit fault events or alarm codes in all provided chunks.

Plausible temperature trends (gradual warming) correlating with time of day, indicating normal sensor operation.

Telemetry logs for chunks C06 through C17 (mid-day period) to confirm continuous operation and rule out intermittent dropouts.

Any explicit fault or diagnostic logs from the Matter controller or device itself.

Verify continuity of `master_bedroom_temp_sensor` and `master_bedroom_occupancy_sensor` logs during the unobserved mid-day period (C06-C17).

Check for any explicit fault events, connectivity dropouts, or stuck values in the full timeline.

Confirm that occupancy transitions (if any occurred) are consistent with physical presence.

The investigator correctly identified that C00-C05 and C18 show normal behavior but failed to account for the significant gap in evidence (C06-C17).

Concluding 'normal' based solely on start/end points is insufficient for a device-health check over a 24-hour period, as intermittent faults could have occurred and recovered in the missing chunks.

The hypothesis A1 regarding potential intermittent failure in the missing chunks is valid and cannot be dismissed without reviewing those specific logs.

Requesting the full set of intermediate chunks (C06-C17) is necessary to rule out transient malfunctions or data loss events.

The master_bedroom temperature and occupancy sensors are functioning normally. The temperature readings show expected diurnal variation (cooling overnight) with stable reporting intervals and no stuck values or impossible transitions. Occupancy remains consistently unoccupied, which is consistent with the time of day (nighttime).

C00 shows regular 5-minute reporting intervals for master_bedroom_temp_sensor from 00:00 to 01:10.

Temperature values fluctuate naturally between 22.64 C and 23.07 C, showing no signs of being stuck or drifting abnormally.

C18 shows continued regular reporting from 23:00 to 23:55 with temperatures ranging from 22.47 C to 22.73 C.

OccupancySensing.Occupancy for master_bedroom_occupancy is consistently reported as 'unoccupied' (raw=0) at all checked timestamps in both C00 and C18.

No explicit fault events, alarms, or error codes are present in the logs.

The analysis relies on sampled chunks (start and end of the day); a brief intermittent failure in the middle of the day might be missed if not captured in other chunks, though the structured signals suggest high activity frequency throughout.

Consistent 5-minute reporting intervals for temperature sensors across both morning (C00) and night (C18) periods.

Plausible temperature trends (gradual cooling overnight) without sudden jumps or flatlining.

Consistent 'unoccupied' status for occupancy sensor, matching expected nighttime behavior.

Absence of any fault flags, retry loops, or contradictory state transitions in the Matter-style logs.

Logs from the mid-day period to confirm continuous operation without gaps, although structured signals indicate high attribute frequency which supports continuity.

Context on whether the master bedroom was expected to be occupied during the logged times (though 'unoccupied' is plausible for night).

Check for intermittent data dropouts or reporting gaps in the mid-day chunks (C01-C17) which are currently missing.

Verify if 'unoccupied' status for occupancy sensors is consistent with expected human presence patterns during daytime hours (if any logs exist).

Confirm no explicit fault events or alarm codes appear in the full log sequence.

The investigator correctly identified that C00 and C18 show normal telemetry behavior for the target devices.

However, concluding 'normal' based solely on start and end points is insufficient for a device-health check over a 24-hour period. Intermittent failures (e.g., temporary disconnection, stuck values, or sensor drift) could have occurred in the unobserved middle chunks (C01-C17).

The current evidence does not rule out transient faults. A robust health check requires verifying continuity across the entire timeline or at least sampling multiple intermediate chunks to ensure no gaps or anomalies occurred.

No protocol-format misunderstandings were detected; temperature scaling was handled correctly.

Request investigation of intermediate chunks to confirm continuous operation.

## 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": 336,
    "master_bedroom": 341,
    "kids_room": 336,
    "kitchen": 288,
    "dining_room": 48,
    "second_bedroom": 48,
    "master_bathroom": 48,
    "entrance": 48
  },
  "attribute_frequency": {
    "MeasuredValue": 1152,
    "Occupancy": 341
  },
  "lock_state_flips": 0,
  "o

## 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": [
      "master_bedroom_temp_sensor",
      "master_bedroom_occupancy_sensor"
    ],
    "target_question": "Check if the sensors in the master_bedroom area are working normally. If abnormal, explain the possible fault type."
  },
  "focus_rooms": [
    "master_bedroom"
  ],
  "focus_devices": [
    "master_bedroom_temp_sensor",
    "master_bedroom_occupancy_sensor"
  ],
  "focus_chunk_ids": [
    "C00",
    "C18"
  ],
  "suspected_patterns": [
    "sensor_data_continuity",
    "value_stability",
    "missing_fault_events"
  ],
  "why_these_chunks": [
    "C00 provides baseline telemetry for the master_bedroom temperature and occupancy sensors at the start of the log period, showing normal reporting intervals and plausible values.",
    "C18 provides end-of-period telemetry to confirm that the sensors continued to report consistently until the end of the window, ruling out intermittent failure or dropouts."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The master_bedroom temperature and occupancy sensors are functioning normally. The telemetry shows consistent reporting intervals, plausible temperature fluctuations within a residential range (22-25°C), and stable 'unoccupied' states during nighttime hours, with no evidence of data loss, stuck values, or protocol errors.",
      "evidence": [
        "C00-C05 show continuous


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 master_bedroom temperature sensor exhibits intermittent data loss (empty payloads) at regular intervals, indicating a reliability anomaly in its reporting mechanism.

Explanation: Analysis of the logs reveals a recurring pattern where `master_bedroom_temp_sensor` reports an empty value at specific timestamps (08:00, 09:00, 10:00, 14:00), while other sensors in the home report valid data simultaneously.

Explanation: In every instance, the sensor recovers within 5 minutes with a physically plausible temperature reading that continues the existing trend (e.g., 25.35 C after 25.21 C), ruling out permanent hardware failure or stuck values.

Explanation: The specificity of the dropout to this single device and the regularity of the interval suggest a systematic issue such as a subscription refresh failure, network packet loss, or gateway timeout, rather than random noise.

Explanation: While the sensor is not 'broken' in the sense of being offline permanently, the periodic loss of telemetry constitutes a malfunction in its operational health/reliability, justifying the `sensor_malfunction` classification over `none`.

Empty payload at 08:00:00 followed by valid 25.35 C at 08:05:00.

Empty payload at 09:00:00 followed by valid 25.49 C at 09:05:00.

Empty payload at 10:00:00 followed by valid 25.43 C at 10:05:00.

Empty payload at 14:00:00 followed by valid 24.75 C at 14:05:00.

Concurrent sensors (living_room, kids_room, kitchen) show no similar dropouts at these times.

Check Matter cluster subscription stability and network connectivity for the master_bedroom_temp_sensor.

Verify if the :00 minute timestamp correlates with any scheduled system tasks or heartbeat timeouts.

Monitor for recurrence to determine if the issue persists or resolves itself.

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。

The master_bedroom_temp_sensor is functioning normally. The empty log entries observed at 08:00, 09:00, 10:00, and 14:00 are transient telemetry dropouts or logging truncations (network jitter/packet loss) rather than hardware faults. The sensor immediately recovers in the subsequent polling interval with valid, physically plausible temperature readings that track consistently with other sensors in the home.

C06: At 08:00, `master_bedroom_temp_sensor` logs an empty value, but at 08:05 it reports 25.35 C, a normal continuation of the trend from 07:55 (25.30 C).

C07: At 09:00, an empty value is logged, followed by a valid reading of 25.49 C at 09:05.

C07: At 10:00, an empty value is logged, followed by a valid reading of 25.43 C at 10:05.

C11: At 14:00, an empty value is logged, followed by a valid reading of 24.75 C at 14:05.

Temperature trends across all chunks (C05-C12) show smooth, gradual changes consistent with ambient room temperature fluctuations, with no stuck values or impossible jumps.

The recurrence of empty payloads at specific hourly marks (08:00, 09:00, 10:00, 14:00) suggests a systematic issue (e.g., subscription refresh failure or gateway timeout) rather than random noise, though this does not constitute a permanent device fault.

Intermittent Data Loss / Telemetry Dropouts. The sensor exhibits a recurring pattern of missing data points at regular intervals (approximately every hour), indicating a potential instability in the Matter cluster subscription or network connectivity for this specific device. While not a permanent hardware failure, this represents a reliability anomaly where monitoring coverage is periodically interrupted.

The pattern repeats roughly every 60 minutes, suggesting a scheduled event (like a re-subscription or heartbeat timeout) is failing for this device specifically, while other devices (living_room, kids_room, kitchen) maintain continuous reporting.

The sensor always recovers within 5 minutes, so there is no prolonged blind spot or stuck state.

No explicit error codes or alarm events are present in the logs to confirm a protocol-level fault versus simple packet loss.

The query asks if the sensor is 'working normally'; intermittent dropout is technically abnormal behavior, but often classified as a network/logic issue rather than a physical sensor defect.

Recurring empty payloads for `master_bedroom_temp_sensor` at 08:00, 09:00, 10:00, and 14:00 across chunks C06, C07, and C11.

Immediate recovery with valid temperature values in the subsequent 5-minute interval (e.g., 08:05, 09:05, 10:05, 14:05).

Absence of similar empty payloads for concurrent sensors (living_room, kids_room, kitchen) during the same timestamps, isolating the issue to the master bedroom sensor's transmission or subscription.

Matter protocol-level logs (e.g., CHIP Error codes, Subscription Lost events) to distinguish between network packet loss and device-side processing errors.

Network signal strength (RSSI) or connection stability logs for the master_bedroom_temp_sensor during the dropout windows.

Configuration details regarding the polling/subscription interval for the TemperatureMeasurement cluster on this specific device.

Verify if the empty payload pattern at :00 timestamps is consistent across all devices or specific to master_bedroom_temp_sensor.

Check C09 (11:30-12:45) for similar empty payloads to confirm if the hourly dropout pattern persists or stops.

Distinguish between 'device fault' (hardware/sensor failure) and 'telemetry/logic issue' (subscription/packet loss). The current evidence supports the latter but does not prove hardware malfunction.

The investigator correctly identifies intermittent data loss (empty payloads) as an anomaly.

However, the conclusion that this constitutes a 'sensor malfunction' (A1) or 'normal operation' (N1) is premature without checking the continuity of this pattern in the missing chunk C09.

If the pattern continues in C09, it suggests a systematic protocol/network issue rather than a random device fault. If it stops, it might be transient.

Crucially, 'intermittent data loss' is often a network/subscription issue, not necessarily a sensor hardware fault. The query asks if the sensor is 'working normally'. A sensor that fails to report periodically is technically abnormal, but labeling it a 'malfunction' requires ruling out network causes or confirming the sensor itself is stuck/failing to generate data.

The investigator's focus on 'recovery' is good, but the distinction between 'faulty sensor' and 'unreliable link' needs more rigorous evidence from adjacent chunks to avoid false alarms regarding hardware health.

The master_bedroom sensors are functioning normally, and the empty log entries represent transient network packet loss or logging truncation that did not affect the underlying sensor operation.

In C07, the master_bedroom_temp_sensor reports valid temperatures (25.52 C) at 09:00, then an empty entry at 09:00 (likely a duplicate timestamp or parsing error in the log stream), followed by valid readings (25.49 C) at 09:05. The temperature trend is consistent with other rooms.

In C11, the master_bedroom_temp_sensor reports valid temperatures (24.75 C) at 14:05, following an empty entry at 14:00. The values remain stable and physically plausible.

The occupancy sensor for master_bedroom consistently reports 'unoccupied' (raw=0) across all timestamps in both chunks, which is a valid state if no one is present.

Temperature values fluctuate within a normal range (~24-26 C) and correlate reasonably well with adjacent rooms (living_room, kids_room), suggesting the sensor is measuring ambient conditions correctly.

Does not fully explain why the log explicitly records an empty payload for the specific device `master_bedroom_temp_sensor` at regular intervals (09:00, 10:00, 14:00), whereas other devices do not show this pattern as frequently or distinctly.

Assumes the empty logs are benign noise rather than a symptom of a deeper communication fault.

The master_bedroom temperature sensor is experiencing intermittent data transmission failures or parsing faults, resulting in missing telemetry events.

C07 shows `master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 25.52 C (raw=2552)` at 09:00:00, immediately followed by `master_bedroom_temp_sensor | ` (empty value) at the same timestamp 09:00:00. This suggests a malformed packet or truncated log entry.

C07 shows another instance at 10:00:00 where `master_bedroom_temp_sensor | ` appears after a valid reading at 10:00:00 from other devices, indicating a recurring issue at the top of the hour or during specific polling cycles.

C11 shows `master_bedroom_temp_sensor | ` (empty value) at 14:00:00, again distinct from the valid readings at 14:05:00.

The triage output explicitly flags these as 'intermittent_data_loss' and 'missing_telemetry_events', noting that these are not isolated glitches but a recurring pattern.

While the sensor recovers quickly (next 5-minute interval has valid data), the repeated failure to transmit complete payloads constitutes a device health anomaly.

The sensor does not appear completely dead; it provides valid data in subsequent intervals, so it is not a total failure.

It is difficult to distinguish between a physical sensor fault and a network/logic layer fault (e.g., Matter cluster subscription drop) based solely on these logs without seeing retry mechanisms or explicit error codes.

Repeated occurrences of `master_bedroom_temp_sensor | ` (empty payload) at timestamps 09:00, 10:00, and 14:00, while other sensors in the same timeframes report valid data.

The immediate recovery of valid temperature readings in the next 5-minute interval (e.g., 09:05, 14:05) indicates intermittent rather than permanent failure.

Logs for other time periods to determine if this empty-payload pattern occurs more frequently than observed.

Network-level logs or Matter protocol error codes to distinguish between physical sensor hardware issues and connectivity/parsing issues.

Confirmation of whether the 'empty' entries are logged by the hub (indicating receipt of bad data) or by the device itself (indicating internal error).

Verify if the empty payload pattern is isolated to C07/C11 or persists in adjacent time windows (e.g., C06, C08, C10, C12).

Check for explicit Matter protocol error codes or subscription drop events associated with `master_bedroom_temp_sensor`.

Confirm if the 'empty' log entries are consistent across all hourly marks or specific to certain polling cycles.

Distinguish between network/logic layer issues (Matter cluster subscription) and physical sensor hardware faults.

The investigator correctly identified intermittent data loss (empty payloads) as a potential fault indicator.

However, concluding a 'device malfunction' based solely on three instances of empty logs within two chunks is premature. The sensor recovers immediately in subsequent intervals, which could indicate transient network jitter or logging truncation rather than a persistent hardware fault.

Per protocol, 'device-fault' conclusions require direct fault evidence like stuck values, repeated non-recovery, or explicit alarms. Intermittent missing telemetry is ambiguous without broader context.

We need to check adjacent chunks (C06, C08, C10, C12) to determine if this is a systemic issue (happening every hour) or an anomaly in these specific windows. If it happens every hour, it might be a configuration/polling issue; if sporadic, it might be noise.

Do not finalize a 'malfunction' verdict yet. Refine investigation to establish frequency and root cause category (network vs. hardware).

## 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": 336,
    "master_bedroom": 341,
    "kids_room": 336,
    "kitchen": 288,
    "dining_room": 48,
    "second_bedroom": 48,
    "master_bathroom": 48,
    "entrance": 48
  },
  "attribute_frequency": {
    "MeasuredValue": 1152,
    "Occupancy": 336
  },
  "lock_state_flips": 0,
  "o

## 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": [
      "master_bedroom_temp_sensor",
      "master_bedroom_occupancy_sensor"
    ],
    "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_sensor"
  ],
  "focus_chunk_ids": [
    "C07",
    "C11"
  ],
  "suspected_patterns": [
    "intermittent_data_loss",
    "missing_telemetry_events"
  ],
  "why_these_chunks": [
    "C07 contains a specific instance where the master_bedroom_temp_sensor event is logged with an empty value (truncated or missing payload) at 09:00, indicating a potential transmission or parsing fault.",
    "C11 contains another instance of the same sensor logging an empty event at 14:00, suggesting this is not a one-off glitch but a recurring pattern of data loss.",
    "These chunks provide direct evidence of 'stuck values' or 'missing follow-through' required for a device-fault conclusion, distinct from normal temperature fluctuations."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The master_bedroom_temp_sensor is functioning normally. The empty log entries observed at 08:00, 09:00, 10:00, and 14:00 are transient telemetry dropouts or logging truncations (network jitter/packet loss) rather than hardware faults. The sensor immediately recovers in the subs


状态 vs 实际位置不一致

The kids_room temperature and occupancy sensors are functioning normally with consistent telemetry and logical state transitions.

Explanation: The investigation focused on `kids_room_temp_sensor` and `kids_room_occupancy` across multiple time chunks (C00-C04, C06, C28).

Explanation: Temperature readings from `kids_room_temp_sensor` show smooth, gradual changes consistent with thermal inertia in a residential environment (e.g., rising during the day, stable/cooling at night), with no stuck values, impossible spikes, or data loss (`None`).

Explanation: Occupancy sensor transitions are binary and logical: unoccupied during sleep hours (C00-C05) and occupied during active periods (C06 morning wake-up, C28 evening/night presence).

Explanation: Although the supervisor noted a gap in coverage between C04 and C06, the available evidence shows no anomalies. The isolated `None` value observed in C06 belongs to the `kitchen_temp_sensor`, not the target devices, ruling out a systemic network failure affecting the kids' room.

Explanation: No explicit fault codes, repeated retries, or contradictory states were observed for the kids' room sensors.

Continuous valid temperature reporting from `kids_room_temp_sensor` in all reviewed chunks (C00-C04, C06, C28) with physically plausible drifts.

Logical occupancy transitions: `unoccupied` (raw=0) during night (C00-C05) and `occupied` (raw=1) during morning activity (C06) and late night (C28).

Absence of any fault indicators (e.g., `None`, error codes) for `kids_room` devices, unlike the isolated kitchen sensor anomaly.

No immediate action required; sensors appear healthy.

Routine monitoring can continue; if intermittent issues are suspected, verify connectivity logs for the specific device ID.

Check if sensors in kids_room are working normally; if abnormal, specify fault type.

Missing telemetry (None value)
Sensor silence vs. activity context

C00: Baseline check for normal temperature reporting and occupancy transitions at the start of the log.

C00-C05: Continuous temperature reporting from `kids_room_temp_sensor` every 5 minutes with values ranging from ~22.7°C to ~24.8°C, showing smooth, gradual changes typical of thermal inertia.

C06: At 07:15, `kids_room_temp_sensor` reports 25.07°C while `kids_room_occupancy` is occupied (raw=1). This transition coincides with morning wake-up activity, indicating the sensor correctly reflects environmental changes due to occupancy.

C28: Late night (23:30-23:55) temperature readings (~22.6°C-22.7°C) are stable and lower than daytime peaks, consistent with nighttime cooling. Occupancy remains 'occupied' (raw=1), suggesting occupants are present in bed or the room, which is a valid state for a child's room at night.

No explicit fault codes, `None` values, or stuck states were observed for the kids_room sensors in any of the reviewed chunks (C00-C06, C28).

Occupancy transitions are binary and clear (0 to 1 or 1 to 0) without ambiguous intermediate states.

While the sampled chunks show normal behavior, the investigation covers specific time windows. However, the consistency across early morning, mid-morning, and late night suggests robust performance.

Potential intermittent connectivity or data loss issue affecting the kitchen sensor, but NOT the kids_room sensors. The supervisor feedback highlighted C06 as containing a `kitchen_temp_sensor` anomaly (`None`). A thorough check confirms this anomaly is isolated to the kitchen device. The kids_room sensors do not exhibit similar faults.

In C06 (07:12:00), `kitchen_temp_sensor` reports `TemperatureMeasurement.MeasuredValue = None`. This is a clear data loss event.

However, immediately after (07:15:00), `kitchen_temp_sensor` resumes reporting (25.06°C), and `kids_room_temp_sensor` continues to report normally (25.07°C) during this same interval.

No corresponding `None` or error values appear for `kids_room_temp_sensor` or `kids_room_occupancy` in C06 or any other chunk.

Therefore, while an anomaly exists in the system (kitchen sensor), it does not apply to the target devices (kids_room sensors).

This hypothesis identifies an anomaly in the broader system but explicitly excludes the target devices from being faulty based on the evidence. It serves to rule out a systemic network failure if the kitchen fault was unique.

False positive suspicion of 'sensor silence' or 'missing telemetry' for kids_room. Initial triage suspected missing telemetry, but detailed review of all provided chunks (C00-C06, C28) shows no gaps in kids_room temperature reporting. The occupancy sensor also shows continuous updates during active periods.

C00: Temperature reported at 00:00, 00:05, ..., 01:10. No gaps.

C01: Temperature reported at 01:15, ..., 02:30. No gaps.

C02: Temperature reported at 02:35, ..., 03:45. No gaps.

C03: Temperature reported at 03:50, ..., 05:00. No gaps.

C04: Temperature reported at 05:05, ..., 06:24. No gaps.

C06: Temperature reported at 07:15, ..., 07:50. No gaps.

C28: Temperature reported at 23:30, ..., 23:55. No gaps.

Occupancy updates are frequent during occupied periods (e.g., C06, C28) and static during unoccupied periods (e.g., C00-C05), which is expected behavior for PIR/motion sensors.

This hypothesis is essentially a refutation of the initial suspicion. It relies on the completeness of the provided chunks. If there were unobserved gaps between these chunks, they remain unknown, but the pattern within chunks is healthy.

Comparison of `kitchen_temp_sensor` reporting `None` in C06 vs. `kids_room_temp_sensor` continuing to report valid values (25.07°C) at 07:15:00. This isolates the fault to the kitchen device.

Consistent 5-minute reporting intervals for `kids_room_temp_sensor` across all checked chunks (C00-C04, C06, C28) with no missing entries.

Logical correlation between `kids_room_occupancy` state changes and temperature trends (e.g., temp rise in C06 when occupancy becomes 1).

Logs for the exact minute of the kitchen sensor failure (07:12:00) to see if kids_room sensors experienced any concurrent transient glitch, though unlikely given the 5-minute polling rate.

Diagnostic logs for the kids_room sensors specifically, to confirm no internal error counters were incremented during the day, although operational telemetry appears healthy.

Occupancy transitions are binary and clear (0 to 1 or 1 to 0) without ambiguous intermediate states.

In C06 (07:12:00), `kitchen_temp_sensor` reports `TemperatureMeasurement.MeasuredValue = None`. This is a clear data loss event.

No corresponding `None` or error values appear for `kids_room_temp_sensor` or `kids_room_occupancy` in C06 or any other chunk.

Therefore, while an anomaly exists in the system (kitchen sensor), it does not apply to the target devices (kids_room sensors).

C00: Temperature reported at 00:00, 00:05, ..., 01:10. No gaps.

C01: Temperature reported at 01:15, ..., 02:30. No gaps.

C02: Temperature reported at 02:35, ..., 03:45. No gaps.

C03: Temperature reported at 03:50, ..., 05:00. No gaps.

C04: Temperature reported at 05:05, ..., 06:24. No gaps.

C06: Temperature reported at 07:15, ..., 07:50. No gaps.

C28: Temperature reported at 23:30, ..., 23:55. No gaps.

Verify continuous telemetry for kids_room sensors in the gap between C04 (ends 06:24) and C06 (starts 07:11). Specifically check C05 to ensure no intermittent failures or data loss occurred during the morning transition.

Check C07 to confirm sensor behavior immediately following the events in C06, ensuring no delayed faults or state inconsistencies.

The investigator correctly identified that the `kitchen_temp_sensor` anomaly in C06 is isolated and does not affect the target devices. The conclusion that kids_room sensors are normal based on C00-C04 and C06/C28 is plausible but relies on a significant time gap (approx. 45 minutes) where chunks C05 and potentially C07 were not explicitly reviewed in detail.

While the sampled data shows healthy behavior, a robust device-health check requires verifying continuity across the entire timeline, especially around activity transitions (morning wake-up). Missing C05 leaves a blind spot in the early morning period.

No protocol format misunderstandings detected. Temperature scaling and occupancy logic are handled correctly.

Request review of C05 and C07 to close the temporal gaps before finalizing the 'normal' verdict.

The kids_room temperature and occupancy sensors are functioning normally. The logs show consistent reporting intervals, physically plausible temperature fluctuations (22-25°C range), and logical occupancy transitions corresponding to human presence.

C00: Temperature readings for kids_room_temp_sensor are reported every 5 minutes with values ranging from 22.70 C to 23.07 C, showing normal thermal drift.

C00: Occupancy is consistently 'unoccupied' (raw=0) during the early morning hours when no activity is expected.

C06: At 07:11, occupancy transitions to 'occupied' (raw=1), coinciding with other household members waking up and lights turning on, indicating a coherent start-of-day routine.

C06: Temperature readings remain stable around 25.0-25.3 C during the occupied period, consistent with indoor heating/cooling systems maintaining comfort.

C28: Late evening logs (23:27-23:55) show continued occupancy and stable temperatures (~22.6-22.7 C), indicating the sensor remains active and responsive throughout the day.

Does not account for the isolated 'None' value in the kitchen sensor at 07:12, though this is a different device.

No anomaly detected in kids_room sensors. The query specifically targets kids_room, and while there is a telemetry gap ('None') in the kitchen sensor, the kids_room sensors show no such faults, stuck values, or impossible transitions.

Comparison with C06 shows that while kitchen_temp_sensor reported 'None' at 07:12, kids_room_temp_sensor reported valid data (25.07 C) at 07:15, proving the network and gateway are functional for kids_room devices.

No explicit fault events, alarms, or repeated non-recovery patterns are observed for kids_room_temp_sensor or kids_room_occupancy_sensor in any of the focused chunks (C00, C06, C28).

Occupancy transitions are binary and clean (0->1 or 1->0) without intermediate invalid states or rapid flickering indicative of sensor failure.

Relies on the assumption that the lack of evidence for fault implies normal operation, which is standard for health checks but cannot rule out intermittent failures outside the sampled time windows.

kids_room_temp_sensor reports valid, continuous temperature data across all three time segments (C00, C06, C28) with no 'None' values or stuck readings.

kids_room_occupancy sensor correctly reflects state changes (unoccupied to occupied) aligned with household activity patterns.

Contrast with kitchen_temp_sensor which explicitly reported 'None' at 07:12, highlighting that the kids_room sensors did not suffer similar data loss.

Full 24-hour log to confirm if the 'None' event in the kitchen was an isolated incident or part of a broader connectivity issue affecting multiple rooms.

Device-specific error codes or diagnostic registers which might reveal internal hardware faults not visible in application-level telemetry.

Occupancy transitions are binary and clear (0 to 1 or 1 to 0) without ambiguous intermediate states.

In C06 (07:12:00), `kitchen_temp_sensor` reports `TemperatureMeasurement.MeasuredValue = None`. This is a clear data loss event.

No corresponding `None` or error values appear for `kids_room_temp_sensor` or `kids_room_occupancy` in C06 or any other chunk.

Therefore, while an anomaly exists in the system (kitchen sensor), it does not apply to the target devices (kids_room sensors).

C00: Temperature reported at 00:00, 00:05, ..., 01:10. No gaps.

C01: Temperature reported at 01:15, ..., 02:30. No gaps.

C02: Temperature reported at 02:35, ..., 03:45. No gaps.

C03: Temperature reported at 03:50, ..., 05:00. No gaps.

C04: Temperature reported at 05:05, ..., 06:24. No gaps.

C06: Temperature reported at 07:15, ..., 07:50. No gaps.

C28: Temperature reported at 23:30, ..., 23:55. No gaps.

Occupancy transitions are binary and clear (0 to 1 or 1 to 0) without ambiguous intermediate states.

In C06 (07:12:00), `kitchen_temp_sensor` reports `TemperatureMeasurement.MeasuredValue = None`. This is a clear data loss event.

No corresponding `None` or error values appear for `kids_room_temp_sensor` or `kids_room_occupancy` in C06 or any other chunk.

Therefore, while an anomaly exists in the system (kitchen sensor), it does not apply to the target devices (kids_room sensors).

C00: Temperature reported at 00:00, 00:05, ..., 01:10. No gaps.

C01: Temperature reported at 01:15, ..., 02:30. No gaps.

C02: Temperature reported at 02:35, ..., 03:45. No gaps.

C03: Temperature reported at 03:50, ..., 05:00. No gaps.

C04: Temperature reported at 05:05, ..., 06:24. No gaps.

C06: Temperature reported at 07:15, ..., 07:50. No gaps.

C28: Temperature reported at 23:30, ..., 23:55. No gaps.

Continuous telemetry coverage for kids_room sensors between the sampled chunks (C00, C06, C28) to rule out intermittent failures or data loss not captured in the sparse samples.

Verification of sensor reporting intervals and consistency across the full 24-hour period.

Check for any explicit fault events, alarms, or diagnostic codes associated with kids_room devices that might be present in non-focused chunks.

The investigator correctly identified that the specific focused chunks (C00, C06, C28) show normal behavior for the target devices.

However, relying on three sparse time points (early morning, mid-morning, late night) is insufficient to declare a device 'working normally' over a 24-hour period. Intermittent faults, connectivity drops, or drift could occur in the unobserved gaps.

The protocol notes emphasize that a device-fault conclusion requires direct evidence, but conversely, a 'normal' conclusion should ideally be supported by consistent telemetry throughout the relevant timeframe, or at least acknowledge the limitation of sparse sampling more strongly.

To confirm the sensors are working normally, we need to see that they reported consistently in the intervening hours (C01-C05, C07-C27). Without this, we cannot rule out intermittent issues.

Therefore, the investigation needs to expand to cover the missing time segments to ensure no silent failures occurred.

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

## 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": 401,
    "master_bedroom": 516,
    "kids_room": 520,
    "kitchen": 303,
    "dining_room": 221,
    "second_bedroom": 48,
    "master_bathroom": 55,
    "entrance": 230,
    "second_bathroom": 1
  },
  "attribute_frequency": {
    "MeasuredValue": 1156,
    "Occupancy": 1086,
    "OnOf

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

## 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": [
      "kids_room"
    ],
    "target_devices": [
      "kids_room_temp_sensor",
      "kids_room_occupancy_sensor"
    ],
    "target_question": "Check if sensors in kids_room are working normally; if abnormal, specify fault type."
  },
  "focus_rooms": [
    "kids_room"
  ],
  "focus_devices": [
    "kids_room_temp_sensor",
    "kids_room_occupancy_sensor"
  ],
  "focus_chunk_ids": [
    "C00",
    "C06",
    "C28"
  ],
  "suspected_patterns": [
    "Missing telemetry (None value)",
    "Sensor silence vs. activity context"
  ],
  "why_these_chunks": [
    "C00: Baseline check for normal temperature reporting and occupancy transitions at the start of the log.",
    "C06: Contains a specific anomaly where kitchen_temp_sensor reports 'None', serving as a reference point for data loss or sensor failure patterns to compare against kids_room behavior.",
    "C28: End-of-day check to verify if kids_room sensors continue to report correctly during low-activity periods, ensuring no intermittent failure."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The kids_room temperature and occupancy sensors are functioning normally throughout the 24-hour period. The telemetry shows consistent reporting intervals, physically plausible temperature drifts (consistent with a residential environment), and logical occupancy transitions that align with household activity patterns.",
      "evidence": [


温度传感器读数漂移（drift）

The master_bedroom temperature and occupancy sensors are functioning normally with no evidence of faults.

Explanation: Analysis of the provided logs (C00-C22) confirms that the master_bedroom_temp_sensor consistently reports valid temperature readings within a normal residential range (approx. 22.6°C to 23.9°C) with smooth, gradual transitions consistent with environmental changes.

Explanation: The master_bedroom_occupancy sensor correctly transitions between 'unoccupied' (raw=0) during night hours and 'occupied' (raw=1) during evening hours, aligning logically with other device activities (e.g., lights, AC) in the home.

Explanation: There are no instances of stuck values, impossible state transitions, communication dropouts, or explicit fault codes for either the temperature or occupancy sensors in the master bedroom.

Explanation: Although the kitchen_temp_sensor experienced intermittent data loss (None values) in chunks C21 and C22, this did not affect the master_bedroom sensors, which continued to report normally throughout the same period.

Continuous valid telemetry from master_bedroom_temp_sensor across all chunks (e.g., 22.65 C at 00:00, 23.95 C at 16:20, 22.88 C at 19:15).

Logical occupancy transitions: unoccupied (0) from 00:00-16:20, occupied (1) from 16:23 onwards.

Absence of any error states, None values, or stuck readings for master_bedroom devices.

No action required; sensors are operating as expected.

Missing telemetry logs (silence)
Sensor failure or communication drop

C00: master_bedroom_temp_sensor reports valid temperatures (22.65 C to 22.95 C) with smooth transitions every 5 minutes.

C00-C22: master_bedroom_occupancy sensor consistently reports 'unoccupied' (raw=0) during night hours (00:00-16:20) and 'occupied' (raw=1) during evening hours (16:23 onwards), matching expected usage.

C18-C22: Temperature values remain within a normal range (23.00 C - 23.95 C) without spikes or drops indicative of sensor failure.

No explicit fault codes, alarm events, or communication errors are present in any chunk for these specific devices.

Relies on the assumption that the absence of logs in intermediate chunks (if any existed outside the provided set) would have been flagged; however, the provided chunks C19 and C20 confirm continuous operation, closing this gap.

Intermittent telemetry dropout or data loss event affecting the master_bedroom_temp_sensor, potentially indicating a temporary communication fault or power glitch, although it recovered immediately.

Triage Output initially suspected missing telemetry in C21 based on preview lines, but verification of full chunks (C19, C20) shows no such gap for master_bedroom.

In C21, at 18:36:00, kitchen_temp_sensor reports None, but master_bedroom_temp_sensor continues to report 23.08 C at 18:35:00 and 23.07 C at 18:40:00, showing no correlation with the kitchen fault.

No evidence of stuck values, impossible transitions, or repeated failures for master_bedroom sensors.

The hypothesis is weak because direct inspection of C19 and C20 (as requested by Supervisor Feedback) confirms continuous, valid telemetry from master_bedroom sensors. There is no actual dropout or fault evidence for these specific devices. The initial suspicion was likely a display artifact or misinterpretation of the kitchen sensor's failure.

Continuous presence of valid temperature and occupancy logs for master_bedroom sensors across all provided chunks (C00, C18-C22).

Absence of any 'None', error codes, or stuck values specifically for master_bedroom_temp_sensor or master_bedroom_occupancy.

Occupancy state transitions (unoccupied -> occupied) occur logically with surrounding activity (lights/AC in other rooms, lock operations).

No additional information is required as the investigation has confirmed the health of the target sensors through the requested intermediate chunks.

The investigator correctly identified that the master_bedroom sensors (temperature and occupancy) are functioning normally.

Evidence review confirms continuous telemetry for master_bedroom_temp_sensor and logical occupancy transitions in master_bedroom_occupancy across all provided chunks (C00-C22).

The initial suspicion of a fault in C21 was correctly dismissed as it pertained to the kitchen sensor, not the master bedroom. The investigator verified this by checking adjacent chunks (C19, C20) which showed no gaps for the target devices.

No direct fault evidence (stuck values, alarms, impossible transitions) exists for the master_bedroom sensors.

The conclusion is robust and supported by the full set of relevant logs.

The master_bedroom sensors (temperature and occupancy) are functioning normally. The temperature readings show stable, gradual changes consistent with a residential environment, and the occupancy sensor correctly reports unoccupied status during early morning hours and occupied status during evening hours.

C00: master_bedroom_temp_sensor reports values ranging from 22.62 C to 23.01 C between 00:05 and 01:05, showing normal thermal inertia and drift.

C00: master_bedroom_occupancy consistently reports 'unoccupied' (raw=0) at 00:00, 00:30, and 01:00, which is expected for a bedroom at night.

C21: master_bedroom_occupancy transitions to 'occupied' (raw=1) starting at 18:38 and remains occupied through the end of the log period, consistent with evening activity.

C21: master_bedroom_temp_sensor continues to report valid values (22.91 C - 23.07 C) during the occupied period in C21.

Does not fully address the triage suspicion regarding potential intermittent data loss or missing logs, although no explicit fault is visible in the provided chunks.

Intermittent communication drop or telemetry gap affecting the master_bedroom_temp_sensor. While the sensor recovers and provides valid data in both C00 and C21, the triage output highlights a specific instance in C21 where the sensor might be absent or omitted compared to other devices, suggesting a potential connectivity issue or data packet loss event.

Triage Output notes that C21 contains an instance where master_bedroom_temp_sensor is absent from the top devices list or its reading is omitted/missing in preview lines compared to other rooms.

In C21, at 18:36:00, kitchen_temp_sensor reports None, indicating a general momentary telemetry glitch or network congestion in the system, which could correlate with similar issues for other sensors if they were present in that specific millisecond window (though master_bedroom_temp_sensor is not listed at 18:36:00 in the snippet, it appears at 18:35:00 and 18:40:00).

The provided chunk C21 does not explicitly show a 'None' or error for master_bedroom_temp_sensor; it shows valid readings at 18:35, 18:40, 18:45, etc. The absence is inferred from the triage description rather than direct evidence in the text.

The sensor recovers immediately after any potential gap, lacking persistent stuck values or repeated failures required for a definitive malfunction classification.

No explicit alarm or fault codes are generated by the device itself.

Presence of valid, continuous temperature and occupancy logs for master_bedroom in both C00 (night) and C21 (evening).

Absence of explicit fault codes, stuck values, or impossible state transitions in the provided logs.

Triage suspicion of missing telemetry in C21 vs. actual presence of valid data points in the provided C21 snippet.

Full raw logs for the time periods surrounding the suspected omission in C21 to verify if master_bedroom_temp_sensor was truly missing or just filtered out in the preview.

Network connectivity logs or MQTT broker errors to confirm if there were transmission drops affecting the master_bedroom zone specifically.

Device health diagnostics or battery levels for the wireless sensors.

Verify if master_bedroom_temp_sensor is present in the full logs of C19 and C20 to confirm continuous operation between the night (C00) and evening (C21) periods.

Check for any explicit fault codes or 'None' values for master_bedroom sensors in the missing chunks.

Confirm if the 'omission' noted in triage was a display artifact or actual data loss by inspecting raw logs of adjacent time slots.

The investigator correctly identifies that the provided chunks (C00, C21) show normal sensor behavior with no direct fault evidence.

However, the investigation relies heavily on the Triage Output's suspicion of 'missing telemetry' in C21 without verifying the actual content of the intermediate period (likely C19-C20).

Since there is a significant gap between 01:10 (end of C00) and 18:34 (start of C21), assuming health based solely on endpoints is insufficient for a definitive 'working normally' verdict, especially given the triage flag.

The risk of false alarm is medium because the current conclusion ('normal') might be premature if a fault occurred in the unobserved middle period. The 'anomaly' hypothesis is weak but not disproven yet.

Need to check C19/C20 to ensure no silent failure occurred during the day/night transition.

## 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": 401,
    "master_bedroom": 524,
    "kids_room": 519,
    "kitchen": 303,
    "dining_room": 223,
    "second_bedroom": 48,
    "master_bathroom": 53,
    "entrance": 232,
    "second_bathroom": 1
  },
  "attribute_frequency": {
    "MeasuredValue": 1156,
    "Occupancy": 1095,

## 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": [
      "master_bedroom_temp_sensor",
      "master_bedroom_occupancy_sensor"
    ],
    "target_question": "Check if sensors in master_bedroom are working normally; if abnormal, specify fault type."
  },
  "focus_rooms": [
    "master_bedroom"
  ],
  "focus_devices": [
    "master_bedroom_temp_sensor",
    "master_bedroom_occupancy_sensor"
  ],
  "focus_chunk_ids": [
    "C00",
    "C21"
  ],
  "suspected_patterns": [
    "Missing telemetry logs (silence)",
    "Sensor failure or communication drop"
  ],
  "why_these_chunks": [
    "C00 establishes the baseline operational status of the master_bedroom sensors at the start of the log period.",
    "C21 contains a specific instance where the master_bedroom_temp_sensor is absent from the top devices list and its temperature reading is missing/omitted in the preview lines compared to other rooms, suggesting a potential intermittent fault or data loss event that requires verification against the full chunk content."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The master_bedroom sensors (temperature and occupancy) are functioning normally throughout the observed period. The temperature readings show stable, gradual changes consistent with a residential environment, and occupancy transitions align with typical human presence patterns.",
      "evidence": [
        "C00: master_b


The master_bedroom_occupancy sensor appears to be stuck in the 'occupied' state, failing to report transitions to 'unoccupied' during a prolonged daytime absence.

Explanation: The investigator initially concluded the sensor was normal based on morning activation (C04/C05) and evening presence (C21).

Explanation: However, the supervisor correctly identified a critical gap: between ~07:00 (end of C05) and 18:35 (start of C21), there is no evidence of the master bedroom becoming unoccupied.

Explanation: In a residential context, it is highly improbable for a bedroom to remain continuously occupied for over 11 hours without the occupant leaving (e.g., for work or other activities).

Explanation: The lack of an 'unoccupied' transition during this long interval strongly suggests the occupancy sensor is stuck at value 1 ('occupied'), rather than reflecting actual human behavior.

Explanation: While temperature readings are valid, the occupancy logic failure constitutes a device fault (stuck sensor).

Master bedroom occupancy remains 'occupied' from 06:11 through the end of C05 (07:05) with no subsequent 'unoccupied' event recorded in the provided chunks.

At C21 (18:35), the sensor is still reported as 'occupied', implying a continuous state that contradicts typical daily routines.

No explicit fault codes were found, but the behavioral pattern (continuous occupancy >11h) is inconsistent with normal usage.

Verify if the user left the house during the day by cross-referencing entrance/exit sensors or other room occupancy logs if available.

Check the raw log data for chunks C06-C20 to confirm if any 'unoccupied' events were missed or if the sensor truly remained stuck.

Inspect the sensor hardware for physical obstructions or calibration issues causing false positives.

TemperatureMeasurement.MeasuredValue consistency and range

Presence of explicit fault or alarm events

The master bedroom sensors (occupancy and temperature) are functioning normally. The occupancy sensor correctly transitions from unoccupied to occupied in the morning, reflecting typical user behavior. The temperature sensor reports consistent, physically plausible values within a normal residential range.

C00-C04: Occupancy remains 'unoccupied' (raw=0) consistently during the night (00:00 - 06:10), which is expected for a bedroom at that time.

C04 (06:11): Occupancy transitions to 'occupied' (raw=1), coinciding with the master bedroom light turning on, indicating a coherent presence detection event.

C05: Occupancy remains 'occupied' throughout the morning period (06:15 - 07:05).

C21: Occupancy remains 'occupied' in the evening (18:35 - 19:13), showing continued functionality.

Temperature readings across C00-C05 and C21 are stable, fluctuating only slightly (e.g., 22.69°C to 25.16°C), with no impossible jumps or stuck values.

The investigation relies on sampled chunks; while the supervisor feedback noted gaps, the available data points do not show any anomalies that would suggest a fault.

No device fault detected. The previous suspicion of insufficient coverage was addressed by reviewing the full sequence of provided chunks (C00-C05, C21). No evidence of stuck states, communication drops specific to these devices, or invalid readings exists.

No explicit fault codes or alarm events found in any chunk.

Occupancy state transitions are logical and match actuator states (lights).

Temperature values are within valid ranges and change gradually.

No repeated non-recovery or stuck values observed.

None identified based on the provided logs.

Master bedroom occupancy transition from unoccupied (0) to occupied (1) at 06:11:00 in C04, immediately followed by the master bedroom light turning on at 06:11:02, confirming the sensor's responsiveness and correctness.

Consistent 'unoccupied' status from 00:00 to 06:10 in C00-C04, ruling out a stuck 'occupied' fault.

Stable temperature readings (e.g., 22.69°C in C00, 24.79°C in C05, 23.17°C in C21) without erratic spikes or flatlines indicative of sensor failure.

None required for this conclusion. The provided chunks cover the key operational periods (night, morning wake-up, evening) and show consistent, healthy behavior.

Check for 'stuck' occupancy state: The master_bedroom_occupancy sensor transitions to 'occupied' at 06:11 and remains 'occupied' through C21 (19:13). A full day of continuous 'occupied' status without any transition back to 'unoccupied' is highly suspicious for a malfunctioning PIR sensor or a stuck boolean flag, rather than normal human behavior.

Check for intermittent dropout: Investigate if there are gaps in reporting or `None` values for the master bedroom sensors between C05 and C21, which might indicate communication issues or power cycling.

Verify temperature consistency during the 'stuck' period: Ensure temperature readings remain physically plausible and do not show drift or flatlines that would suggest sensor failure alongside the occupancy issue.

The investigator concluded the device is 'normal' based on the morning transition (C04/C05) and evening snapshot (C21). However, this ignores the critical gap between ~07:00 (end of C05) and 18:35 (start of C21). During this ~11.5 hour window, the master_bedroom_occupancy sensor never reported 'unoccupied'. In a residential context, it is extremely unlikely for a bedroom to be continuously occupied for nearly 12 hours without the occupant leaving (e.g., to work, use bathroom, etc.). This pattern strongly suggests a 'stuck' fault (sensor failure) rather than normal operation. The current evidence is insufficient to rule out this fault because the intermediate chunks covering the daytime absence are missing. The investigator failed to check for the necessary 'unoccupied' transitions that define healthy occupancy sensing cycles.

The master_bedroom sensors (occupancy and temperature) are functioning normally. The occupancy sensor correctly detects presence transitions, and the temperature sensor provides consistent, physically plausible readings within expected ranges for a residential environment.

C05 shows a clear transition of `master_bedroom_occupancy` from unoccupied to occupied at 06:16:00, confirming the sensor is responsive to presence.

C21 confirms continued operation with `master_bedroom_occupancy` remaining 'occupied' throughout the evening period (18:36 - 19:13), ruling out a stuck 'unoccupied' fault.

Temperature readings in C00, C05, and C21 are stable and within normal indoor ranges (approx 22-25°C), showing no impossible values or drift.

No explicit fault codes, alarms, or error messages are present in the logs for these devices.

Does not account for potential intermittent communication drops if they occurred outside the sampled chunks, though none are evident in the focused data.

Potential transient telemetry dropout or sensor malfunction indicated by missing temperature data in adjacent rooms, which may suggest a broader system instability affecting sensor reporting, although the master_bedroom sensors themselves appear functional in the provided chunks.

In C05, `kitchen_temp_sensor` reports `None` at 06:41:09, shortly after being active.

In C21, `kitchen_temp_sensor` reports `None` at 18:36:00 and 18:59:00.

These dropouts coincide with high activity periods (cooking surface on), suggesting possible interference or device-specific failure, though isolated to the kitchen sensor.

The query specifically targets `master_bedroom` sensors. The evidence points to `kitchen_temp_sensor` issues, not master_bedroom ones.

Isolated `None` values are explicitly stated as insufficient for claiming `sensor_malfunction` without repetition or direct contradiction in the target device's data.

Master bedroom temperature and occupancy logs remain complete and valid throughout all chunks.

C05: `master_bedroom_occupancy` transitions to occupied (raw=1) at 06:16:00, proving functionality.

C21: `master_bedroom_occupancy` remains occupied (raw=1) consistently from 18:36 to 19:13, proving no stuck state.

C00/C05/C21: `master_bedroom_temp_sensor` provides continuous, valid Celsius readings (e.g., 22.69 C, 24.79 C, 23.17 C) with no gaps or errors.

Logs for other time periods (e.g., mid-day, night) to ensure no intermittent failures occur outside the sampled windows.

Diagnostic status or error logs from the Matter controller regarding any reported connection issues with the master_bedroom devices.

Check for intermittent communication drops or missing logs in the large gap between C00 (01:05) and C05 (06:15).

Verify if `master_bedroom_occupancy` remained 'unoccupied' consistently during the night (C01-C04) to rule out a stuck 'occupied' fault.

Verify if `master_bedroom_temp_sensor` reported values continuously throughout the day, not just at sampled intervals.

Check for any explicit fault codes or alarm events associated with the master bedroom devices in the full log stream.

The investigator correctly identified that the sampled chunks (C00, C05, C21) show normal behavior for the target devices.

However, the investigation is insufficient because it relies on sparse sampling. There is a significant time gap between C00 (ending 01:05) and C05 (starting 06:15), and another gap between C05 (ending 07:05) and C21 (starting 18:35).

A device-health conclusion requires verifying continuous operation or identifying specific faults. The current evidence only proves the sensors worked at those specific moments.

The investigator's anomaly hypothesis regarding the kitchen sensor is irrelevant to the query about the master bedroom and was correctly dismissed as weak, but the lack of comprehensive coverage for the target devices remains the primary issue.

Request adjacent chunks to ensure no intermittent failures occurred during the unobserved periods.

## 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": 401,
    "master_bedroom": 523,
    "kids_room": 520,
    "kitchen": 303,
    "dining_room": 217,
    "second_bedroom": 48,
    "master_bathroom": 54,
    "entrance": 231,
    "second_bathroom": 1
  },
  "attribute_frequency": {
    "MeasuredValue": 1156,
    "Occupancy": 1094,

## 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": [
      "master_bedroom_occupancy_sensor",
      "master_bedroom_temperature_sensor"
    ],
    "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_occupancy",
    "master_bedroom_temp_sensor"
  ],
  "focus_chunk_ids": [
    "C00",
    "C05",
    "C21"
  ],
  "suspected_patterns": [
    "OccupancySensing.Occupancy transition from unoccupied (0) to occupied (1)",
    "TemperatureMeasurement.MeasuredValue consistency and range",
    "Presence of explicit fault or alarm events"
  ],
  "why_these_chunks": [
    "C00: Baseline state at start of day (unoccupied, stable temps). Shows initial 'unoccupied' status.",
    "C05: Critical transition chunk. Shows occupancy changing to 'occupied' (raw=1) around 06:16, confirming the sensor detects presence. Also shows normal temperature readings.",
    "C21: Later in the day, confirms continued operation with 'occupied' status and valid temperature data, ruling out a stuck 'unoccupied' fault."
  ],
  "latent_task_profile": "device-health",
  "query_intent_profile": "device-health"
}

## Investigator
{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "The master bedroom sensors (occupancy and temperature) are functioning normally. The occupancy sensor correctly transitions from unoccupied to occupied in the morning, reflecting typical user behavior. The temperature sensor reports consistent, phys