深夜窗户传感器从 Closed 变 Open
随后该房间运动传感器触发，但住户在卧室睡觉
运动信号沿非住户房间传播

触发入侵警报，通知住户，记录事件

No anomalous behavior is detected in the available telemetry; the data reflects a normal single-occupant evening routine with steady HVAC cooling.

Explanation: The provided chunks (C01-C04, C06-C08) show a smooth, consistent temperature decline (~2.5°C over 9 hours) across all sensors, indicating normal HVAC operation or ambient evening cooling without erratic spikes, stuck values, or sensor faults.

Explanation: Occupancy booleans remain stable throughout: living_room is continuously occupied (1) while all other rooms remain unoccupied (0), which is physically plausible for a single occupant and matches typical evening routines.

Explanation: The investigator's primary anomaly hypothesis (A1) regarding a 'LockState flip' is explicitly refuted by the evidence, as no lock events appear in any of the provided chunks. The supervisor correctly flags this as relying on hallucinated or missing data.

Explanation: While critical context chunks (C00, C05, C10) are missing, the continuous normal pattern in the sampled data, absence of alarms/fault codes, and lack of corroborating evidence for the lock hypothesis support a normal behavior conclusion. Additional chunks are needed for full verification.

Steady temperature decline from ~25.1°C to ~22.5°C across all sensors without erratic jumps or fault codes.

Consistent occupancy pattern: living_room=1, all other rooms=0 throughout the entire 12-hour window.

Retrieve missing chunks C00, C05, and C10 to verify the complete 12-hour timeline and confirm the absence of any lock events or HVAC setpoint changes.

Monitor for future deviations in occupancy or temperature trends to ensure the single-occupant routine remains consistent.

请分析是否存在异常行为模式，并说明推理过程。

missing or sparse telemetry in specific rooms

请分析是否存在异常行为模式，并说明推理过程。

Normal evening cooling routine with consistent single-room occupancy.

Uniform temperature decline (~2.5°C over 9 hours) across all sensors indicates steady HVAC operation or ambient evening cooling.

Living room occupancy remains continuously active (1) while bedrooms, entrance, and bathroom remain unoccupied (0), matching a typical single-occupant evening pattern.

No safety alarms, fault codes, erratic telemetry, or hazardous temperature spikes are present.

Assumes HVAC is functioning as intended without explicit thermostat logs.

Relies on occupancy sensors being correctly placed and configured for the household layout.

Isolated lock state transition combined with exclusive living room occupancy, suggesting a potential schedule misconfiguration or unverified access event.

Structured signals indicate exactly one `LockState` flip during the 12-hour window, with no contextual logs in the sampled chunks.

All bedroom, entrance, and bathroom occupancy sensors report `unoccupied` (0) continuously, while the living room is `occupied` (1).

The absence of bedroom activity alongside a single lock event could indicate a resident bypassing normal bedroom routines, a misconfigured occupancy schedule, or an unverified entry/exit.

The lock flip is isolated with no corroborating intrusion indicators (e.g., forced entry, repeated failures, or subsequent security alarms).

The occupancy pattern is physically plausible for a single occupant or pet, and the smooth temperature data explicitly rules out fire/CO/unattended cooking risks.

Lacks direct evidence of malicious intent, device failure, or hazardous escalation.

The combination of a single, context-free lock state transition against a backdrop of completely stable, uniformly cooling temperatures and consistent occupancy booleans.

Smooth temperature gradients rule out sensor malfunction or fire risk, isolating the anomaly to behavioral/security configuration rather than device health.

Timestamp, direction (lock/unlock), and device ID of the single `LockState` flip.

HVAC setpoint and schedule configuration to verify if the cooling rate matches expected operation.

Household occupancy baseline (number of residents, expected bedroom usage) to contextualize the exclusive living room occupancy.

Verify the alleged `LockState` flip: it is completely absent from all provided chunks (C01-C04, C06-C08). Hypothesis A1 relies on a hallucinated or unprovided event.

Re-evaluate based on actual telemetry: temperature shows a smooth, steady decline (~2.5°C over 12h) and occupancy is consistently living_room=1 with all others=0, strongly indicating a normal single-occupant evening routine.

Determine if the lock event is a metadata artifact, a log truncation issue, or a genuine missing chunk that must be retrieved.

The investigator correctly handles Matter-scaled temperatures and occupancy booleans, but the primary anomaly conclusion (A1) is built on a `LockState` transition that does not exist in the provided evidence.

The provided data covers C01-C04 and C06-C08, while the triage explicitly targeted C00, C05, and C10. These critical context chunks are missing, creating a significant blind spot.

Based strictly on the available data, the behavior is highly regular and consistent with normal HVAC operation and single-occupancy patterns. The false-alarm risk is high because the investigation pivots to an unverified lock event rather than addressing the actual telemetry.

Request the missing chunks to verify the lock event. If unavailable, the investigation should be refocused on the steady temperature/occupancy trends, which currently show no anomalies.

Routine household activity with a single occupant (or couple) spending time in the living room and preparing meals in the kitchen. The observed patterns align with standard lunch and dinner preparation, followed by cooling and appliance use.

Living room occupancy remains consistently 'occupied' (raw=1) across all three sampled windows (11:55-13:00, 17:40-18:43, 23:23-23:55), indicating a resident is present in the main living area.

Kitchen cook surface activates for ~30-35 minute intervals (12:15-12:51 and 17:54-18:25), consistent with typical meal preparation durations.

Kitchen temperature rises moderately during cooking (peaking at 29.18°C) and returns to baseline (~23°C) by the next window, which is expected thermal behavior for a kitchen during active cooking.

Kitchen window contact closes shortly after cooking sessions, likely for ventilation, cooling, or security, followed by dishwasher activation in the evening.

Bedrooms, entrance, and bathroom remain unoccupied (raw=0) throughout, consistent with a single-person or couple household focusing on living/kitchen zones.

Does not explicitly account for the brief `None` telemetry drops on the kitchen temperature sensor, though these are transient and recover immediately.

Relies on the assumption that the cook surface was turned off manually or by a safe timer rather than an automated safety feature triggering.

Potential unattended cooking or heat-induced sensor telemetry dropout. The kitchen temperature sensor loses data exactly when the cook surface activates or deactivates, and the occupant is logged in the living room rather than the kitchen, raising a mild question about supervision during heat generation.

Kitchen temperature sensor reports `None` at 12:16:00, 12:52:00, 17:55:00, and 18:26:00, precisely coinciding with cook surface On/Off transitions.

Kitchen temperature rises to 29.18°C during the first session, indicating active heat generation.

Occupancy is recorded in the living room, not the kitchen, during both cooking windows, creating a spatial gap between the heat source and the detected person.

Only 1 lock state flip recorded in 12 hours, but no explicit lock/unlock or alarm events are visible to confirm secure entry or rule out unauthorized presence.

Cook surface is deactivated within ~30-35 minutes in both instances, strongly suggesting active supervision or a timer, not unattended cooking.

Temperature rise is moderate and typical for kitchen cooking; no fire alarm, smoke detector trigger, or extreme thermal escalation is present.

The `None` telemetry drops are isolated, recover immediately, and correlate with rapid thermal/device state changes, which is insufficient to claim sensor malfunction per benchmark rules.

Living room is typically adjacent to kitchens in residential layouts; absence of kitchen occupancy does not equate to lack of supervision.

Duration and manual/auto deactivation of the kitchen cook surface (~30-35 min intervals) relative to living room occupancy.

Transient `None` telemetry drops on the kitchen temperature sensor exactly at cook surface activation/deactivation timestamps.

Consistent living room occupancy (raw=1) contrasted with persistent unoccupied states in bedrooms, entrance, and bathroom.

Kitchen temperature trajectory (steady rise during cooking, return to baseline post-cooking) without alarm or extreme values.

Continuous logs between 13:00-17:40 and 18:43-23:23 to verify uninterrupted living room occupancy and absence of other appliance/activity patterns.

Explicit smoke/CO alarm status or any fault/alarm events from the cook surface or temperature sensors.

Control method for the cook surface (manual vs. auto-timer vs. smart routine) to definitively rule out unattended cooking.

Details of the single lock state flip (time, direction, device) to rule out intrusion or tailgating.

Sensor placement or environmental context for the kitchen temperature sensor to explain the heat-correlated `None` telemetry drops.

Verify continuous occupancy and temperature trends across the 13:00-17:40 and 18:43-23:23 gaps to confirm routine behavior.

Check for explicit smoke/CO alarm triggers or fault events during cooking windows.

Clarify the single door_lock state transition (time, direction, device) to rule out intrusion.

Confirm if cook surface auto-shutoff or timer is configured.

The investigator correctly interprets Matter-scaled values and occupancy booleans, avoiding naive natural-language assumptions.

However, the anomaly hypothesis (A1) relies heavily on transient `None` telemetry drops and the absence of kitchen occupancy, which the rules flag as high false-alarm risk for unattended cooking/sensor malfunction without corroborating alarms or hazardous escalation.

The investigation covers only three sparse windows, leaving large gaps where routine activity or device recovery could occur.

Request the missing chunks to establish a continuous behavioral sequence, verify lock events, and check for explicit safety alarms before concluding any anomaly.

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

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

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

## Deterministic Signals
{
  "room_activity": {
    "living_room": 291,
    "master_bedroom": 169,
    "second_bedroom": 169,
    "kitchen": 159,
    "entrance": 27,
    "bathroom": 24
  },
  "attribute_frequency": {
    "MeasuredValue": 584,
    "Occupancy": 240,
    "OnOff": 9,
    "StateValue": 3,
    "OperationalState": 1,
    "LockState": 1
  },
  "lock_state_flips": 1,
  "occupancy_events": 240,
  "temperature_patterns": [],
  "value_format_hints": {
    "temperature": "MeasuredValue is shown as Celsius with the raw integer preserved in parentheses.",
    "occupancy": "0=unoccupied, 1=occupied",
    "lock_state": "enumerated lock state rendered as label + raw code"
  }
}

## Chunk Index
[
  {
    "chunk_id": "C00",
    "start_ts": "2026-06-07T11:

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "behavior-sequence",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": [
      "living_room",
      "master_bedroom",
      "second_bedroom",
      "kitchen",
      "entrance",
      "bathroom"
    ],
    "target_devices": [
      "temperature_sensor",
      "occupancy_sensor",
      "door_lock",
      "onoff_light",
      "cook_surface",
      "smoke_co_alarm",
      "contact_sensor",
      "dishwasher",
      "air_conditioner",
      "window_covering"
    ],
    "target_question": "请分析是否存在异常行为模式，并说明推理过程。"
  },
  "focus_rooms": [
    "living_room",
    "master_bedroom",
    "second_bedroom",
    "kitchen"
  ],
  "focus_devices": [
    "temperature_sensor",
    "occupancy_sensor",
    "door_lock"
  ],
  "focus_chunk_ids": [
    "C00",
    "C05",
    "C10"
  ],
  "suspected_patterns": [
    "occupancy-temperature correlation mismatch",
    "unusual lock state transition",
    "missing or sparse telemetry in specific rooms",
    "abnormal routine deviation"
  ],
  "why_these_chunks": "C00, C05, and C10 span the start, middle, and end of the 12-hour window, providing necessary context to trace occupancy and temperature sequences over time. This sampling allows evaluation of whether device-state transitions align with ordinary daily routines, identifies any unexplained gaps or trigger events, and verifies if observed patterns represent normal behavior or genuine anomalies without prematurely narrowing to a single event.",
  "latent_task_profile": "behavior-sequence",
  "query_intent_profile": "behavior-sequence"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "descript


玄关运动 + 门锁解锁失败

密码错误（小孩可能记不准密码）

跟 INS-02 的区别：这里不是暴力破解，只有1-2次尝试，且家中有其他房间的活动（说明有人在家）

No abnormal behavior detected; logs indicate a normal household routine with stable sensor operation and benign transient telemetry glitches.

Explanation: The cook surface was active for approximately 36.5 minutes, which falls within typical cooking durations and does not inherently indicate an unattended hazard.

Explanation: Occupancy sensors in adjacent rooms (dining_room, entrance, living_room) consistently report 'occupied' throughout the cooking window, providing strong contextual evidence of household presence and supervision.

Explanation: The kitchen temperature sensor's transient `None` readings recovered immediately to valid values, consistent with standard wireless polling or minor communication glitches rather than a device fault or safety monitoring failure.

Explanation: No smoke/CO alarms, explicit fault events, or impossible state transitions were recorded across the full 12-hour window, confirming stable system operation.

Kitchen cook surface OnOff transitions (18:38:30 on, 19:15:00 off) establishing a normal activity window.

Continuous 'occupied' (raw=1) signals in dining_room, entrance, and living_room throughout the evening.

Immediate recovery of kitchen_temp_sensor after `None` readings, distinguishing comms glitches from persistent faults.

Complete absence of smoke/CO alarm triggers or explicit device fault events across all chunks.

Maintain current monitoring configuration; no immediate intervention is required.

Consider adding a direct kitchen occupancy sensor or verifying network signal strength in the kitchen to eliminate telemetry blind spots for future analysis.

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.

分析过去12小时日志中是否存在异常行为模式

occupancy state persistence and transitions

分析过去12小时日志中是否存在异常行为模式

Normal evening household routine with supervised cooking and stable sensor operation.

Kitchen cook surface activated at 18:38:30 and deactivated at 19:15:00, lasting ~36.5 minutes, which is within typical cooking durations.

Adjacent room occupancy sensors (dining_room, entrance, living_room) consistently report 'occupied' (raw=1) throughout the cooking window, indicating continuous household presence and likely supervision.

Kitchen temperature sensor `None` readings at 18:39:00 and 19:16:00 immediately recover to valid values (23.04 C and 22.79 C respectively) within 1-4 minutes, consistent with transient wireless comms glitches or standard polling intervals rather than hardware failure.

No smoke/CO alarm triggers, explicit fault events, or impossible state transitions are recorded across all devices.

Relies on inference of supervision from adjacent rooms since direct kitchen occupancy logs are absent in the provided chunks.

Does not account for potential network-level issues causing the brief telemetry dropouts, though these appear benign.

Unattended cooking / potential safety monitoring gap due to missing kitchen telemetry and transient sensor dropouts.

Cook surface remained active for ~36.5 minutes without explicit kitchen occupancy confirmation in the logs.

Kitchen temperature sensor reported `None` twice (18:39:00, 19:16:00) during/adjacent to the cooking period, creating brief monitoring blind spots.

Living room AC was turned on at 18:00:23, but no corresponding HVAC response or temperature stabilization is explicitly logged for the kitchen, leaving heat dissipation unverified.

Immediate recovery of the temperature sensor after `None` readings strongly indicates a benign comms glitch rather than a safety device failure or sensor malfunction.

Consistent 'occupied' status in dining, entrance, and living rooms provides strong contextual evidence of household presence, reducing the likelihood of unattended cooking.

Absence of smoke/CO alarms or delayed fault events contradicts a hazardous escalation scenario.

Per protocol, transient telemetry dropouts without downstream consequences or explicit safety triggers should not be elevated to safety anomalies without corroborating evidence of missing supervision or dangerous duration.

Kitchen cook surface OnOff transitions (18:38:30 on, 19:15:00 off) establishing the activity window.

Kitchen temp sensor `None` readings at 18:39:00 and 19:16:00 followed by immediate recovery, distinguishing comms glitches from persistent faults.

Continuous 'occupied' (raw=1) signals in dining_room, entrance, and living_room throughout the evening, supporting the supervision hypothesis.

Complete absence of smoke/CO alarm triggers or explicit device fault events across all chunks.

Direct kitchen occupancy sensor logs to confirm physical presence in the kitchen during the cooking window.

Network health or signal strength logs to correlate the transient `None` readings with known Wi-Fi/Zigbee polling cycles or interference events.

Thermostat or HVAC actuator logs to verify if the living room AC (SystemMode=3) responded to ambient temperature changes or if kitchen heat was dissipated normally.

Confirmation of whether the cook surface has automatic shut-off timers enabled, which would further mitigate the unattended cooking risk.

Explicitly verify the full 12-hour window for any other behavioral deviations beyond the cooking event.

Corroborate the transient `None` readings with network/polling logs or confirm they align with standard device sleep/wake cycles.

Assess whether the ~36-minute cook duration and adjacent room occupancy patterns are consistent with historical household routines.

The investigator correctly handles Matter protocol semantics (centi-degrees, occupancy booleans).

The unattended cooking hypothesis is flagged but relies primarily on missing kitchen occupancy logs and transient `None` telemetry, which constitutes a high false-alarm risk per safety evaluation standards.

The analysis is on-topic but remains speculative on the safety aspect without direct fault or escalation evidence.

Refine the investigation to explicitly contextualize the telemetry gaps as benign, verify full 12-hour coverage for other patterns, and avoid elevating transient comms glitches to safety anomalies without corroborating hazardous outcomes.

Normal household activity with expected evening temperature decline and routine occupancy patterns. The brief `None` reading on the kitchen temperature sensor is a transient telemetry dropout likely caused by temporary interference or a comms glitch when the cook surface was activated.

Steady temperature drop from ~25.3°C at noon to ~22.6°C by late evening aligns with typical residential cooling/AC operation.

Occupancy sensors show consistent presence in main living areas (entrance, dining, master bedroom, kids room) with expected toggling in the living room.

The kitchen temperature sensor recovered to 23.04°C within one minute after the `None` reading, indicating no persistent fault or stuck value.

Does not fully explain the exact 30-second timing of the `None` reading coinciding with the cook surface activation, though a transient dropout is plausible.

Lacks explicit kitchen occupancy logs to definitively rule out an empty room during cooking.

Potential unattended cooking or localized heat hazard causing a temporary sensor failure/telemetry gap. The cook surface activation coincides with a sensor dropout, and the absence of kitchen occupancy logs leaves supervision status ambiguous.

kitchen_cook_surface | OnOff.OnOff = on at 18:38:30.

kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None exactly 30 seconds later at 18:39:00, suggesting possible heat interference or safety-related telemetry drop.

No explicit kitchen occupancy logs in the 18:38-18:45 window to confirm active supervision, creating a potential unattended cooking window.

The sensor recovered quickly (18:40:00), and there are no smoke/CO alarm triggers, explicit fault codes, or prolonged unattended duration in the provided chunks.

The `None` reading could simply be a transient comms glitch rather than heat damage or a safety event.

Dining room and entrance occupancy suggests people are home nearby, reducing the likelihood of prolonged unattended cooking.

kitchen_cook_surface activation at 18:38:30 followed immediately by kitchen_temp_sensor reporting `None` at 18:39:00.

Consistent, gradual temperature decline across all sensors (~25.3°C to ~22.6°C) without spikes or stuck values.

Persistent occupancy in master/kids rooms and entrance/dining, contrasting with living room toggling, indicating normal evening presence patterns.

Explicit kitchen occupancy logs for the 18:38-18:45 window to confirm supervision status.

Timestamp for when the kitchen_cook_surface was turned off to assess duration of use.

Smoke/CO alarm status or any explicit fault/alarm events from the cook surface or temperature sensors.

Full 12-hour log to verify if the `None` reading was an isolated glitch or part of a recurring telemetry issue.

Context on whether the `None` reading correlates with a known heat spike or just a comms glitch.

Verify cook_surface off timestamp and total duration of use

Check for explicit smoke/CO alarm triggers or device fault events in surrounding logs

Confirm whether kitchen occupancy sensor is actually deployed or logging in other chunks

The investigator correctly identifies the transient `None` reading at 18:39:00 but elevates it to a safety hypothesis (unattended cooking) primarily due to missing kitchen occupancy logs and a single telemetry dropout. Per protocol, device-fault or safety conclusions require direct fault evidence or hazardous escalation; the immediate recovery at 18:40:00 and absence of alarms strongly indicate a benign comms glitch. The false-alarm risk is high because the anomaly story relies on a transient gap and missing logs without corroborating safety context. Request C09 to capture the cook surface off event and verify no delayed alarms or fault patterns emerge. Clarify that transient telemetry dropouts without downstream consequences should not be treated as safety anomalies without further evidence.

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": 234,
    "master_bedroom": 291,
    "kids_room": 293,
    "kitchen": 153,
    "entrance": 153,
    "dining_room": 146,
    "second_bedroom": 24,
    "master_bathroom": 24
  },
  "attribute_frequency": {
    "Occupancy": 709,
    "MeasuredValue": 582,
    "OnOff": 13,
    "StateValue": 4,
    "LockStat

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "behavior-sequence",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": [
      "living_room",
      "master_bedroom",
      "kids_room",
      "kitchen",
      "entrance",
      "dining_room",
      "master_bathroom",
      "second_bedroom"
    ],
    "target_devices": [
      "temperature_sensor",
      "occupancy_sensor",
      "door_lock",
      "water_leak_detector",
      "smoke_co_alarm",
      "light",
      "air_conditioner"
    ],
    "target_question": "分析过去12小时日志中是否存在异常行为模式"
  },
  "focus_rooms": [
    "living_room",
    "master_bedroom",
    "kids_room",
    "kitchen",
    "entrance",
    "dining_room"
  ],
  "focus_devices": [
    "temperature_sensor",
    "occupancy_sensor"
  ],
  "focus_chunk_ids": [
    "C00",
    "C08",
    "C15"
  ],
  "suspected_patterns": [
    "temperature drift and stability",
    "occupancy state persistence and transitions",
    "sensor reporting frequency and gaps",
    "absence of fault/alarms or stuck values"
  ],
  "why_these_chunks": [
    "C00 establishes the initial baseline for temperature and occupancy at the start of the 12-hour window to define normal operating ranges.",
    "C08 provides a mid-period snapshot to verify if trends are consistent and check for any mid-day anomalies or reporting irregularities.",
    "C15 captures the late-night period to confirm if the gradual temperature drop and occupancy patterns hold steady without device faults or unexpected gaps."
  ],
  "latent_task_profile": "behavior-sequence",
  "query_intent_profile": "behavior-sequence"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "de


儿童进入危险区域操作危险设备

活动轨迹：儿童房 → 厨房

无成人在厨房（厨房 occupancy 信号模式+其他房间的 occupancy 信号表明成人不在厨房）

如果灶具有 OffOnly 限制，理论上不能远程开启——这意味着是物理操作

立即通知家长，如可能则远程关闭灶具（OffOnly命令）

The logs reflect a normal prolonged absence pattern with consistently unoccupied sensors and stable, naturally fluctuating temperatures, showing no device faults or abnormal behavior.

Explanation: All occupancy sensors across eight rooms consistently report unoccupied (raw=0) for 339 events with zero state transitions, indicating a continuous unoccupied state.

Explanation: Temperature readings fluctuate smoothly between 22.4°C and 25.5°C, consistent with natural ambient changes or standard HVAC operation without sensor drift or hardware faults.

Explanation: The complete absence of lock interactions, actuator commands, or explicit fault/alarm events, combined with the supervisor's validation, confirms this is a routine absence scenario rather than an anomaly.

339 consecutive occupancy events all reporting unoccupied (raw=0) with zero state flips

Temperature readings remain within a stable 22.4°C–25.5°C range with smooth natural fluctuations

No lock operations, actuator commands, or explicit fault/alarm logs detected

Verify household schedule to confirm expected absence

No immediate action required; continue routine monitoring

分析过去24小时日志中是否存在异常行为模式

持续未占用状态 温度平稳日变化 无显著设备交互或状态翻转

分析过去24小时日志中是否存在异常行为模式

持续未占用状态 温度平稳日变化 无显著设备交互或状态翻转

正常无人居住状态与平稳的环境温度变化

结构化信号显示occupancy_events为339，结合全时段零占用，符合传感器持续输出单一状态的特征。

缺乏直接的设备故障证据（如显式报警、重复重试、状态矛盾或执行器失效）。 无法排除住户确实全天外出的合理情况，仅凭占用数据为0不足以确诊传感器硬件故障。

全时段339次占用事件全部为unoccupied (0)，零状态翻转。
温度读数在22.4°C至25.5°C之间平滑变化，无异常尖峰或停滞。
无门锁操作、无执行器命令、无其他设备交互日志。

该住宅过去24小时的预期占用计划或住户行程。

HVAC系统配置及设定温度，以确认温度波动是否由温控系统主动维持。

其他存在检测源（如智能门锁、运动传感器、电器使用日志）的状态，用于交叉验证占用情况。

正常无人居住状态与平稳的环境温度变化

该住宅过去24小时的预期占用计划或住户行程。

HVAC系统配置及设定温度，以确认温度波动是否由温控系统主动维持。

Investigator correctly interprets Matter-scaled temperatures (centi-degrees Celsius) and occupancy booleans per protocol notes. The analysis accurately identifies the continuous unoccupied pattern and stable temperature range, appropriately distinguishing between normal prolonged absence and potential sensor fault without overclaiming. The reasoning directly addresses the query's request to analyze behavior patterns, and the evidence is sufficient to characterize the observed sequence. No protocol misunderstandings or false-alarm risks detected.

正常无人居住状态与平稳的环境温度变化

该住宅过去24小时的预期占用计划或住户行程。

HVAC系统配置及设定温度，以确认温度波动是否由温控系统主动维持。

正常无人居住状态与平稳的环境温度变化

该住宅过去24小时的预期占用计划或住户行程。

HVAC系统配置及设定温度，以确认温度波动是否由温控系统主动维持。

## Query
以下是过去 24 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": 337,
    "master_bedroom": 336,
    "kids_room": 338,
    "kitchen": 289,
    "dining_room": 48,
    "second_bedroom": 48,
    "master_bathroom": 48,
    "entrance": 48
  },
  "attribute_frequency": {
    "MeasuredValue": 1152,
    "Occupancy": 339,
    "OnOff": 1
  },
  "lock_state_flips": 0,
  "occu

## Query
以下是过去 24 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "behavior-sequence",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": [
      "living_room",
      "master_bedroom",
      "kids_room",
      "kitchen",
      "all"
    ],
    "target_devices": [
      "temperature_sensor",
      "occupancy_sensor"
    ],
    "target_question": "分析过去24小时日志中是否存在异常行为模式"
  },
  "focus_rooms": [
    "living_room",
    "master_bedroom",
    "kids_room",
    "kitchen"
  ],
  "focus_devices": [
    "temperature_sensor",
    "occupancy_sensor"
  ],
  "focus_chunk_ids": [
    "C00",
    "C06",
    "C12",
    "C18"
  ],
  "suspected_patterns": [
    "持续未占用状态",
    "温度平稳日变化",
    "无显著设备交互或状态翻转"
  ],
  "why_these_chunks": [
    "均匀分布覆盖24小时全时段，便于追踪温度自然波动趋势与占用状态的连续性，识别是否存在异常停滞、突变或缺失模式。"
  ],
  "latent_task_profile": "behavior-sequence",
  "query_intent_profile": "behavior-sequence"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "正常无人居住状态与平稳的环境温度变化",
      "evidence": [
        "过去24小时内所有8个房间的OccupancySensing.Occupancy均持续报告为unoccupied (raw=0)，共339次事件，无任何状态翻转。",
        "四个主要房间的温度读数呈现平滑的昼夜自然波动（约22.4°C至25.5°C），无突变或停滞，符合无人状态下环境温度随自然节律或基础温控系统运行的物理规律。",
        "零锁状态翻转（lock_state_flips: 0）及无其他设备交互记录，符合长期无人居家的行为特征。"
      ],
      "weaknesses": [
        "假设住户确实外出；若住户本应在家，则无法解释为何所有传感器均未检测到任何活动或人体热源。"
      ]
    }
  ],
  "anomaly_hypotheses": [
    {
      "id": "A1",
      "description": "占用传感器卡滞（sensor_stuck）或住户未报备的长期缺席",
      "threat_type": "sensor_stuck",
      "evidence": [
        "339次占用事件在全部8个房间中100%报告为unoccupied (0)，且24小时内无任何状态转换。",
        "温度数据虽平稳，但缺乏任何人体活动或电器使用导致的典型温度微升或波动，若该时段预期有人居住，则构成监控盲区或传感器故障迹象。",
        "结构化信号显示occu


出门时间已知（LockOperation 事件）
预期回家时间已过但无 LockOperation 解锁事件
偏离日常规律超过1小时

9:30开始尝试联系，10:00后联系紧急联系人

Occupancy sensors in four main rooms are stuck reporting 'occupied' continuously for 10 hours, contradicting normal human movement patterns and functional bathroom sensor toggling.

Explanation: Logs across C00, C05, and C10 show living_room, bedroom, kitchen, and entrance occupancy sensors rigidly reporting 'occupied (raw=1)' at 5-minute intervals for the entire 10-hour window without a single 'unoccupied' transition.

Explanation: The bathroom occupancy sensor correctly toggles to 'unoccupied (raw=0)' at regular intervals, confirming the network and reporting cadence are functional and isolating the fault to the main room sensors.

Explanation: Simultaneous continuous occupancy across four distinct rooms is statistically implausible for normal household activity, strongly indicating a hardware or configuration fault (sensor_stuck) rather than a behavioral anomaly, while temperature and cooking logs remain normal.

Persistent 'occupied (raw=1)' state across living_room, bedroom, kitchen, and entrance occupancy sensors for 10 hours.

Bathroom occupancy sensor correctly reports 'unoccupied (raw=0)' at multiple intervals (e.g., 12:09, 16:39, 21:17), proving network functionality.

Inspect and recalibrate the four stuck occupancy sensors for hardware faults, sensitivity misconfiguration, or placement issues.

Check device firmware and network logs for stale state caching or reporting glitches, and consider replacing sensors if the fault persists.

living_room bedroom kitchen entrance bathroom

分析过去12小时设备活动日志中是否存在异常行为模式

多房间 occupancy 持续为 occupied (raw=1)
温度传感器固定间隔上报且数值稳定
缺乏明确的安全告警或设备故障事件

C00 覆盖时间起点，用于建立活动基线和确认初始状态。

C05 覆盖时间中段，用于检验模式的一致性及是否出现日常作息变化。

C10 覆盖时间后段，用于确认模式是否持续或出现偏离。

分析过去12小时设备活动日志中是否存在异常行为模式

C00 覆盖时间起点，用于建立活动基线和确认初始状态。

C05 覆盖时间中段，用于检验模式的一致性及是否出现日常作息变化。

C10 覆盖时间后段，用于确认模式是否持续或出现偏离。

Bedroom window opens to 100% at 12:30:08, correlating with the start of the temperature decline.

Brief `None` reading on kitchen temp sensor at 17:00:00 immediately recovers, consistent with a transient network/sensor glitch rather than a failure.

Simultaneous continuous `occupied` status across four distinct rooms (living room, bedroom, kitchen, entrance) for 10 hours is highly atypical for normal human movement patterns, making a purely behavioral explanation statistically unlikely.

Occupancy sensor fault (`sensor_stuck`). The occupancy sensors in the living room, bedroom, kitchen, and entrance are stuck reporting `occupied` (raw=1), failing to capture actual room vacating or state transitions.

Rigid 5-minute reporting cadence across all occupancy sensors with identical `occupied` (raw=1) flags maintained simultaneously in 4 rooms for the entire 10-hour window.

Bathroom occupancy sensors correctly report `unoccupied` (raw=0) at intervals (e.g., 12:09, 12:39, 16:39, 17:09, 21:17, 21:47), proving the reporting mechanism and network are functional, but isolating the fault to the main room sensors.

Lack of any `unoccupied` transitions despite a 10-hour span that should logically include periods of room vacating (e.g., sleeping, leaving for errands, or bathroom use).

Lacks explicit fault codes or alarm events in the logs; could theoretically represent a specific test environment, automated simulation, or an unusual household routine (e.g., work-from-home with no one leaving main areas).

Cannot definitively rule out misconfigured sensor sensitivity or placement causing persistent detection without raw diagnostic logs.

Simultaneous, unchanging `occupied` (raw=1) status across living_room, bedroom, kitchen, and entrance occupancy sensors for the entire 10-hour window, contrasted with the bathroom sensor correctly toggling to `unoccupied` at regular intervals.

Raw diagnostic logs or configuration settings for the occupancy sensors to verify hardware health and reporting thresholds.

Context on household occupancy (number of residents, typical daily routines, or if the system is in a test/demo mode).

Network connectivity logs to rule out stale cached states or packet loss causing delayed state updates.

Door lock state logs to correlate with the `lock_state_flips: 1` signal noted in structured data.

Investigator correctly applies Matter semantics (centi-degree temperature scaling, occupancy raw values) and avoids false alarms from transient telemetry gaps or isolated readings.

Identifies a coherent behavioral anomaly: persistent 'occupied' (raw=1) state across four rooms without transitions, contrasting with functional bathroom toggling. This aligns with the 'stuck sensor' or abnormal routine hypothesis and satisfies the requirement for direct fault/behavior evidence.

Analysis stays focused on the 12-hour behavior sequence, correctly weights evidence, and does not over-rely on device telemetry quality debates.

No protocol misunderstandings or task drift detected. Conclusion is well-supported by the provided chunks and ready for finalization.

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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: 独居老人 (Elderly Living Alone)
- bathroom: 卫生间漏水传感器<water_leak_detector>, 卫生间灯<onoff_light>, 卫生间运动传感器<occupancy_sensor>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Deterministic Signals
{
  "room_activity": {
    "living_room": 294,
    "bedroom": 296,
    "kitchen": 295,
    "entrance": 147,
    "bathroom": 28
  },
  "attribute_frequency": {
    "Occupancy": 606,
    "MeasuredValue": 437,
    "OnOff": 10,
    "CurrentPositionLiftPercent100ths": 3,
    "CurrentLevel": 1,
    "StateValue": 1,
    "LockState": 1
  },
  "lock_state_flips": 1,
  "occupancy_events": 606,
  "temperature_patterns": [],
  "value_format_hints": {
    "temperature": "MeasuredValue is shown as Celsius with the raw integer preserved in parentheses.",
    "occupancy": "0=unoccupied, 1=occupied",
    "lock_state": "enumerated lock state rendered as label + raw code"
  }
}

## Chunk Index
[
  {
    "chunk_id": "C00",
    "start_ts": "2026-06-18T11:55:00",
    "end_ts": "2026-06-18T12:47:03",
    "event_count": 80,
    "rooms": {
      "living_room": 22,
      "bedroom": 23,
      "kitchen": 22,
      "entrance": 11,
      "bathr

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "behavior-sequence",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": [
      "living_room",
      "bedroom",
      "kitchen",
      "entrance",
      "bathroom"
    ],
    "target_devices": [
      "occupancy_sensor",
      "temperature_sensor",
      "water_leak_detector",
      "smoke_co_alarm",
      "door_lock"
    ],
    "target_question": "分析过去12小时设备活动日志中是否存在异常行为模式"
  },
  "focus_rooms": [
    "living_room",
    "bedroom",
    "kitchen",
    "entrance",
    "bathroom"
  ],
  "focus_devices": [
    "occupancy_sensor",
    "temperature_sensor"
  ],
  "focus_chunk_ids": [
    "C00",
    "C05",
    "C10"
  ],
  "suspected_patterns": [
    "多房间 occupancy 持续为 occupied (raw=1)",
    "温度传感器固定间隔上报且数值稳定",
    "缺乏明确的安全告警或设备故障事件"
  ],
  "why_these_chunks": [
    "C00 覆盖时间起点，用于建立活动基线和确认初始状态。",
    "C05 覆盖时间中段，用于检验模式的一致性及是否出现日常作息变化。",
    "C10 覆盖时间后段，用于确认模式是否持续或出现偏离。",
    "三者均匀分布可代表完整12小时窗口，避免冗余，同时满足行为序列分析对时序上下文的需求。"
  ],
  "latent_task_profile": "behavior-sequence",
  "query_intent_profile": "behavior-sequence"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "Normal multi-person household activity with ambient evening cooling and supervised cooking. Residents remain in main living areas throughout the observed window.",
      "evidence": [
        "Temperature sensors show a steady, logical cooling trend from ~25.2°C to ~21.5°C, consistent with natural evening ambient temperature drop.",
        "Kitchen cook surface activates at 16:59:30 with corresponding light activation, indicating normal cooking activity.",
        "Bedroom window opens to 100% at 1


灶具开着 + 厨房无人 + 老人在其他房间
跟 FG-01 类似但在老人场景下更危险（认知衰退风险更高）

Occupancy sensors in four rooms are stuck in a continuous 'occupied' state for over 12 hours, failing to report normal absence transitions.

Explanation: Analyzed 12 hours of logs across four time chunks (C00, C05, C10, C13) focusing on occupancy sensor behavior.

Explanation: Living room, bedroom, kitchen, and entrance occupancy sensors continuously report 'occupied (raw=1)' without a single transition to 'unoccupied'.

Explanation: The bathroom occupancy sensor correctly reports 'unoccupied' multiple times, proving the reporting system is functional and ruling out a global configuration default or system-wide override.

Explanation: The persistent, unchanging state across multiple distinct sensors over a 12-hour window meets the benchmark threshold for a stuck-state device fault, as it contradicts standard occupancy sensing logic and normal human activity patterns.

Continuous 'OccupancySensing.Occupancy = occupied (raw=1)' for living_room, bedroom, kitchen, and entrance across all chunks with zero 'unoccupied' transitions.

Bathroom sensor correctly reports 'unoccupied' at multiple intervals, contrasting with the stuck state of the other four sensors and confirming system functionality.

Diagnose firmware and hardware of the affected occupancy sensors for stuck-state faults or misconfigured reporting intervals.

Check Matter cluster commissioning status and network connectivity for the affected devices to rule out communication drops.

Reset or replace the stuck sensors if diagnostics confirm a persistent hardware or firmware fault.

分析过去12小时日志中是否存在异常行为模式

门锁/接触传感器事件孤立，未伴随 occupancy 状态变化

C00 展示日志起始阶段的持续占用模式

C05 验证该模式在日间是否持续存在

C13 确认模式延续至日志末尾，排除临时性故障

分析过去12小时日志中是否存在异常行为模式

门锁/接触传感器事件孤立，未伴随 occupancy 状态变化

C00 展示日志起始阶段的持续占用模式

C05 验证该模式在日间是否持续存在

C13 确认模式延续至日志末尾，排除临时性故障

Kitchen cook surface activation and door lock auto-lock in C10 are standard household operations.

Temperature readings remain within normal residential ranges without erratic spikes.

Does not explain why four distinct room sensors simultaneously fail to clear the 'occupied' state for 12 hours without a single 'unoccupied' report, which contradicts standard occupancy sensing logic.

Bathroom sensor correctly reports 'unoccupied' multiple times, making a system-wide config override less likely unless it's a targeted firmware bug.

sensor_stuck. The occupancy sensors in the living room, bedroom, kitchen, and entrance are stuck in the 'occupied' state due to a hardware fault, firmware glitch, or communication failure. They continuously report 'occupied' without ever transitioning to 'unoccupied', indicating a failure to detect absence.

Repeated 'OccupancySensing.Occupancy = occupied (raw=1)' reports for living_room, bedroom, kitchen, and entrance across all four chunks (C00, C05, C10, C13).

Zero 'unoccupied' transitions for these four rooms over a 12-hour window, despite normal human activity patterns implied by other events.

Bathroom sensor correctly reports 'unoccupied' at multiple intervals (e.g., 12:01, 12:31, 16:31, 17:01, 20:55, 21:25), proving the system can and does report 'unoccupied' when functioning normally.

Persistent stuck state meets the threshold for sensor_stuck per benchmark rules.

Lacks explicit fault codes or alarm events; could theoretically be a software/automation rule rather than a physical sensor fault, though the pattern strongly indicates a stuck state.

Does not account for the exact root cause (hardware vs. firmware vs. network) without additional diagnostics.

Complete absence of 'OccupancySensing.Occupancy = unoccupied (raw=0)' for living_room, bedroom, kitchen, and entrance across all four time chunks, contrasted with the bathroom sensor's multiple correct 'unoccupied' reports.

Sensor hardware type (PIR vs. mmWave) and firmware versions for the affected devices.

Network connectivity logs or Matter commissioning status for the stuck sensors.

Occupancy reporting configuration settings (e.g., reporting intervals, default states, or automation rules overriding transitions).

Context on household occupancy (e.g., number of residents, pets, or HVAC systems that might trigger sensors).

The investigator correctly identifies the persistent 'occupied' state across four distinct rooms as a clear behavioral anomaly, effectively contrasting it with the functioning bathroom sensor to rule out a system-wide reporting default or configuration override. The analysis strictly adheres to Matter semantics (correctly interpreting raw=1/0 and scaled temperatures) and avoids false alarms. The evidence of repeated non-recovery over a 12-hour window meets the benchmark threshold for a stuck-state/device-fault conclusion. No protocol misunderstandings, task drift, or false-alarm risks are detected. The investigation is complete and ready for final verdict.

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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: 独居老人 (Elderly Living Alone)
- bathroom: 卫生间漏水传感器<water_leak_detector>, 卫生间灯<onoff_light>, 卫生间运动传感器<occupancy_sensor>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Deterministic Signals
{
  "room_activity": {
    "living_room": 294,
    "bedroom": 295,
    "kitchen": 300,
    "entrance": 147,
    "bathroom": 31
  },
  "attribute_frequency": {
    "Occupancy": 610,
    "MeasuredValue": 438,
    "OnOff": 12,
    "CurrentPositionLiftPercent100ths": 3,
    "CurrentLevel": 1,
    "StateValue": 1,
    "LockState": 1
  },
  "lock_state_flips": 1,
  "occupancy_events": 610,
  "temperature_patterns": [],
  "value_format_hints": {
    "temperature": "MeasuredValue is shown as Celsius with the raw integer preserved in parentheses.",
    "occupancy": "0=unoccupied, 1=occupied",
    "lock_state": "enumerated lock state rendered as label + raw code"
  }
}

## Chunk Index
[
  {
    "chunk_id": "C00",
    "start_ts": "2026-06-16T11:55:00",
    "end_ts": "2026-06-16T12:49:03",
    "event_count": 80,
    "rooms": {
      "living_room": 22,
      "bedroom": 23,
      "kitchen": 22,
      "entrance": 11,
      "bathr

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "behavior-sequence",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": [
      "living_room",
      "bedroom",
      "kitchen",
      "entrance",
      "bathroom"
    ],
    "target_devices": [
      "occupancy_sensor",
      "temperature_sensor",
      "door_lock",
      "contact_sensor"
    ],
    "target_question": "分析过去12小时日志中是否存在异常行为模式"
  },
  "focus_rooms": [
    "living_room",
    "bedroom",
    "kitchen",
    "entrance",
    "bathroom"
  ],
  "focus_devices": [
    "occupancy_sensor",
    "door_lock",
    "contact_sensor"
  ],
  "focus_chunk_ids": [
    "C00",
    "C05",
    "C10",
    "C13"
  ],
  "suspected_patterns": [
    "多房间运动传感器同时持续上报'occupied'状态（单人独居场景下物理上不可能）",
    "缺乏正常的'occupied'到'unoccupied'状态转换",
    "门锁/接触传感器事件孤立，未伴随 occupancy 状态变化"
  ],
  "why_these_chunks": [
    "C00 展示日志起始阶段的持续占用模式",
    "C05 验证该模式在日间是否持续存在",
    "C10 包含入户门锁和接触传感器事件，用于检查异常模式是否在该事件前后有状态转换或解释",
    "C13 确认模式延续至日志末尾，排除临时性故障"
  ],
  "latent_task_profile": "behavior-sequence",
  "query_intent_profile": "behavior-sequence"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "System configuration or reporting logic defaults to 'occupied' for these sensors. Some occupancy sensors or Matter cluster implementations may have a configuration flag that forces continuous 'occupied' reporting, or a background automation rule overrides natural transitions. The bathroom sensor's different behavior could stem from separate hardware, firmware, or placement.",
      "evidence": [
        "All main room sensors consistently report 'occupied (raw=1)' across all time chunks.",


FG-01-FP: 煲汤/慢炖（正常长时间开灶）

温度上升后稳定（不持续飙升），住户定期回来检查，烟雾传感器未触发

No confirmed safety threats; observed events align with a normal morning routine and transient telemetry noise.

Explanation: The logged sequence (cook surface on at 06:45, kitchen light on, front door auto-lock at 07:27, kitchen light off) strongly indicates a standard morning departure routine rather than an unattended hazard.

Explanation: Transient kitchen temperature spikes (27.00°C at 06:50, 27.50°C at 07:15) immediately revert to the ~25°C baseline, which per Matter notes is characteristic of telemetry noise rather than sustained heat escalation.

Explanation: The unattended cooking hypothesis relies primarily on the absence of a logged cook surface 'off' event and missing smoke/CO detector logs, rather than direct evidence of hazardous escalation or device fault.

Explanation: Per composite-safety guidelines, a plausible ordinary routine combined with incomplete telemetry and missing supervision logs does not confirm an anomaly, and the supervisor explicitly flags a high risk of false alarm for this pattern.

Cook surface activated at 06:45, kitchen light on at 06:59, front door auto-locked at 07:27, kitchen light off at 07:27.

Transient kitchen temperature spikes at 06:50 and 07:15 that immediately return to baseline (~25°C).

Absence of explicit cook surface 'off' event, kitchen occupancy logs, and smoke/CO detector logs.

Enable and verify smoke/CO detector logging to confirm fire mitigation status during cooking.

Check cook surface auto-shutoff configuration and ensure power/current telemetry is logged to close the appliance state loop.

Verify kitchen occupancy sensor reporting configuration to prevent future supervision gaps.

kitchen living_room bedroom entrance bathroom

判断家庭当前的安全状况，指出任何潜在风险。

Kitchen appliance shutdown and window closing sequence

Evening/night occupancy and lock activity

Overall environmental and sensor stability

判断家庭当前的安全状况，指出任何潜在风险。

Normal morning routine with transient telemetry noise.

Cook surface activated at 06:45 coincides with bedroom and bathroom occupancy, indicating a standard morning routine.

Kitchen light turns on at 07:00, consistent with active kitchen use.

Front door auto-locks at 07:27, a standard security behavior upon departure.

Kitchen temperatures show a slow, steady rise (24.7°C to 25.4°C) typical of ambient heating or cooking heat dissipating.

Transient temperature spikes (27.00°C at 06:50, 27.50°C at 07:15) are isolated and immediately revert to baseline, characteristic of telemetry glitches rather than sustained heat.

Does not account for explicit cook surface deactivation or direct kitchen occupancy confirmation.

Lacks smoke/CO or HVAC logs to fully rule out ventilation issues or delayed fire response.

Unattended cooking / Fire risk due to potential departure with active appliance.

Front door lock auto-locks at 07:27, strongly suggesting the occupant departed the premises.

No explicit 'cook surface off' event is logged, leaving the appliance state ambiguous during/after departure.

Transient temperature spikes in the kitchen (27.00°C at 06:50, 27.50°C at 07:15) occur while the appliance is active, potentially indicating localized heat buildup.

Absence of kitchen occupancy logs and smoke/CO detector logs leaves supervision and mitigation status unverified.

Relies on inferred departure from the front door lock rather than direct kitchen occupancy data.

Transient temperature spikes are brief and could be sensor noise rather than heat escalation.

No explicit fire alarm, smoke detection, or sustained temperature growth is recorded to confirm a hazard.

Sequence of cook surface activation (06:45) -> kitchen light on (07:00) -> front door auto-lock (07:27) without a logged cook surface deactivation event.

Kitchen occupancy logs during and after the cooking window to confirm supervision or departure.

Smoke/CO detector logs to verify fire mitigation or alarm status.

HVAC/ventilation logs to assess heat dissipation and air quality.

Cook surface power/current telemetry to confirm actual power state and auto-shutoff behavior.

Explicit cook surface off event log to close the appliance state loop.

Confirm cook surface power state or explicit 'off' event in logs following 07:30

Check for smoke/CO detector or HVAC system activity during the cooking window

Verify if kitchen occupancy sensor was offline or simply not reporting

Analyze temperature trend continuity to rule out sensor calibration drift vs. actual heat

The analysis correctly flags the missing cook surface 'off' event and transient temperature spikes, but the fire risk hypothesis is primarily driven by missing logs and inferred departure rather than direct hazardous escalation. Ambient temperatures remained stable (~25°C) with only brief, non-escalating spikes to 27°C, consistent with telemetry noise per Matter notes. Missing occupancy and smoke/CO logs inflate the perceived risk without corroborating evidence. Request C05 to verify appliance state recovery and check for delayed safety responses. Emphasize that absence of logs alone does not confirm a hazard.

The home is operating safely with normal daily routines. Morning and evening activities (locking, cooking, cooling, bedtime) follow expected patterns. Brief telemetry anomalies (temperature spike, single missing reading) are transient and self-correcting, indicating minor network or sensor noise rather than hardware faults or safety hazards.

Kitchen cook surface turned off at 19:43, followed by window closure at 19:43:30 and a steady temperature decline from 26.82°C to 22.59°C over 1.5 hours, indicating normal post-cooking cleanup and cooling.

Front door auto-locked at 07:27 and 21:55 with consistent contact state transitions (open -> closed).

Living room occupancy remained stable during evening kitchen activity, suggesting normal supervision or cohabitation.

Transient 27.50°C spike at 07:15 and `None` reading at 19:44 both recovered within 5-10 minutes, failing the threshold for persistent sensor malfunction.

Relies on the absence of explicit alarm/fault events to rule out fire or gas risks definitively.

Assumes transient telemetry drops are benign without direct device health diagnostics.

Potential transient sensor instability or unmonitored kitchen heat dissipation. While not currently hazardous, the isolated telemetry glitches and elevated kitchen temperatures warrant monitoring to rule out intermittent sensor drift or delayed heat dissipation.

Kitchen temperature sensor reported a sudden spike to 27.50°C (raw=2750) at 07:15, deviating from the stable 24-25°C baseline before immediately recovering.

Kitchen temperature sensor returned `None` at 19:44, immediately after the cook surface was turned off and the window was closed, suggesting a brief comms dropout or sensor reset.

Kitchen ambient temperature remained elevated (26.82°C) during evening cooking before gradually cooling.

The spike and `None` reading are isolated and recovered quickly, lacking repetition or failed recovery required for a confirmed sensor malfunction.

The post-cooking temperature decline is consistent with normal cooling, not hazardous escalation or fire risk.

No smoke/CO alarms, failed mitigation events, or sustained heat growth are present to support a fire or safety device failure hypothesis.

Kitchen cook surface shutdown at 19:43 followed by steady temperature decline and window closure.

Transient 27.50°C spike (07:15) and single `None` reading (19:44) with immediate recovery.

Consistent auto-lock sequences at 07:27 and 21:55 matching door contact states.

Stable living room occupancy during evening kitchen activity.

Smoke/CO detector status and logs to definitively rule out fire or gas risks.

HVAC/ventilation logs to confirm if active cooling or natural ventilation assisted the kitchen temperature drop.

Cook surface power/current telemetry to verify complete electrical shutdown.

Supervision context (e.g., was the kitchen occupied during/after cooking to confirm safe unattended duration).

Smoke/CO detector logs
Kitchen occupancy during/after cooking
HVAC/ventilation logs
Cook surface power/current telemetry

The investigator correctly interprets Matter-scaled values and appropriately flags transient telemetry (temp spike, single None reading) as non-hazardous, avoiding false alarms. However, the composite-safety verdict remains incomplete without smoke/CO detector logs and explicit kitchen supervision context during/after cooking. While the investigator notes these gaps in weaknesses, they do not yet request the necessary adjacent chunks or device logs to close them. Recommend refining the investigation to scan remaining chunks for smoke/CO events and verify kitchen occupancy patterns to solidify the safety assessment.

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

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

## Layout
Layout: 一室一厅 (Studio/1BR)
- bathroom: 卫生间漏水传感器<water_leak_detector>, 卫生间灯<onoff_light>, 卫生间运动传感器<occupancy_sensor>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅台灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Deterministic Signals
{
  "room_activity": {
    "living_room": 403,
    "bedroom": 356,
    "kitchen": 301,
    "bathroom": 56,
    "entrance": 14
  },
  "attribute_frequency": {
    "MeasuredValue": 868,
    "Occupancy": 225,
    "OnOff": 19,
    "StateValue": 5,
    "LockState": 4,
    "CurrentPositionLiftPercent100ths": 2,
    "SystemMode": 1,
    "OperationalState": 1,
    "CurrentLevel": 1
  },
  "lock_state_flips": 4,
  "occupancy_events": 225,
  "temperature_patterns": [],
  "value_format_hints": {
    "temperature": "MeasuredValue is shown as Celsius with the raw integer preserved in parentheses.",
    "occupancy": "0=unoccupied, 1=occupied",
    "lock_state": "enumerated lock state rendered as label + raw code"
  }
}

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "composite-safety",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": [
      "kitchen",
      "living_room",
      "bedroom",
      "entrance",
      "bathroom"
    ],
    "target_devices": [
      "all"
    ],
    "target_question": "判断家庭当前的安全状况，指出任何潜在风险。"
  },
  "focus_rooms": [
    "kitchen",
    "living_room",
    "bedroom",
    "entrance"
  ],
  "focus_devices": [
    "kitchen_temp_sensor",
    "kitchen_cook_surface",
    "kitchen_window_contact",
    "living_room_occupancy",
    "bedroom_occupancy",
    "front_door_lock"
  ],
  "focus_chunk_ids": [
    "C04",
    "C11",
    "C12",
    "C13"
  ],
  "suspected_patterns": [
    "Transient temperature telemetry anomaly",
    "Kitchen appliance shutdown and window closing sequence",
    "Evening/night occupancy and lock activity",
    "Overall environmental and sensor stability"
  ],
  "why_these_chunks": [
    "C04 captures a transient temperature reading spike (2750) to assess sensor stability and rule out environmental hazards.",
    "C11 shows the cook surface turning off, window closing, and a missing temperature value, providing context for kitchen safety and sensor health.",
    "C12 and C13 cover the evening and night occupancy patterns, lock state context, and temperature trends to evaluate overall home safety and routine behavior."
  ],
  "latent_task_profile": "composite-safety",
  "query_intent_profile": "composite-safety"
}

## Investigator

{
  "normal_hypotheses": [
    {
      "id": "N1",
      "description": "Normal morning routine with transient telemetry noise.",
      "evidence": [
        "Cook surface activated at


FG-02-FP: 电暖器/取暖器正常使用

有人在房间且温度上升后趋于稳定（不是持续飙升），无烟雾报警触发

Normal evening routine with standard cooking, cleanup, and security behaviors observed; no safety hazards detected.

Explanation: The cook surface was active for approximately 45 minutes and immediately followed by the dishwasher turning ON with a completed operational state, strongly indicating a standard cooking and cleanup routine rather than unattended cooking.

Explanation: The transient `None` reading from the kitchen temperature sensor at 18:50 recovered instantly to 26.24°C, and the subsequent gradual temperature decline to baseline is consistent with post-cooking ventilation, refuting the hypothesis of a persistent sensor fault or developing fire hazard.

Explanation: Occupancy remained stable in the living room and entrance, and the front door triggered an immediate auto-lock upon opening, demonstrating proper security protocol. The absence of kitchen occupancy logs is likely due to sensor placement or reporting frequency rather than actual absence, given the prompt cleanup sequence and lack of alarm triggers.

Kitchen cook surface ON at 18:49:30 -> OFF at 19:34:00, followed by dishwasher ON at 19:45:00 with OperationalState=1

Transient kitchen_temp_sensor dropout at 18:50:00 recovered instantly without persistent fault

Front door contact opened at 22:13:46 and auto-locked at 22:13:47

Stable occupancy in living room and entrance from 18:15 to 23:10 with no smoke/CO alarm triggers

Continue routine monitoring of home safety systems.

Verify kitchen occupancy sensor configuration or reporting frequency if the absence of logs is a concern for future safety audits.

判断家庭当前的安全状况，指出任何潜在风险

Kitchen temperature spike (26.39 C) during evening hours

Frequent entrance occupancy and door lock operations

Consistently high alarmish event count across all rooms

判断家庭当前的安全状况，指出任何潜在风险

Normal evening routine: cooking, cleanup, and standard auto-lock security behavior.

Kitchen cook surface turned ON at 18:49:30 and OFF at 19:34:00, followed by the kitchen dishwasher turning ON at 19:45:00 with OperationalState=1, indicating a completed cooking and cleanup sequence.

Kitchen window contact sensor reported closed (false) at 19:34:30, consistent with post-cooking ventilation or routine closure.

Living room and entrance occupancy remained continuously occupied (1) from 18:15 through 23:10, indicating residents were present in the home.

Front door contact opened at 22:13:46 and immediately triggered an auto-lock event at 22:13:47, demonstrating standard security protocol.

All room temperatures stabilized between 22.4 C and 22.7 C from 20:10 onwards, with no sustained thermal escalation.

Relies on the assumption that living room/entrance occupancy implies adequate supervision of the kitchen during the cooking window.

Does not explicitly account for the missing kitchen occupancy log or the transient telemetry dropout at 18:50.

Unattended cooking / potential fire risk due to cook surface activation without direct kitchen presence and transient sensor interference.

Kitchen cook surface remained ON for approximately 45 minutes (18:49:30 to 19:34:00).

No `kitchen_occupancy` events logged during the 18:49-19:34 window; only living room and entrance occupancy were recorded as occupied.

Kitchen temperature sensor reported `None` at 18:50:00, immediately after the cook surface was turned on, suggesting possible heat interference or telemetry dropout.

Kitchen temperature dropped from 27.14 C (18:35) to 22.74 C (19:30) while the cook surface was active, which is atypical for active cooking and may indicate poor ventilation or sensor placement issues.

No smoke/CO alarm or water leak detector telemetry is present in the logs to corroborate safety or rule out environmental hazards.

The cook surface eventually turned off, and the dishwasher started shortly after, strongly indicating a completed routine rather than an abandoned hazard.

The temperature drop and lack of alarm triggers contradict a developing fire or thermal escalation.

The `None` reading was isolated and recovered instantly, lacking persistence required for a sensor malfunction or persistent hazard confirmation.

Absence of kitchen occupancy logs may be due to sensor placement or reporting frequency rather than actual absence.

kitchen_cook_surface OnOff transition: ON at 18:49:30 -> OFF at 19:34:00

Absence of kitchen_occupancy events during the 18:49-19:34 cooking window

kitchen_temp_sensor telemetry dropout (None) at 18:50:00

kitchen_dishwasher OnOff ON at 19:45:00 with OperationalState=1

front_door_lock auto-lock event at 22:13:47 following contact opening

Smoke/CO alarm telemetry during evening hours to rule out combustion or air quality hazards

Water leak detector status and readings to assess plumbing safety

Explicit kitchen occupancy sensor logs (if available) to confirm presence/absence during cooking

HVAC or ventilation logs to explain the kitchen temperature drop while the cook surface was active

Verify if kitchen_occupancy sensor is configured or simply not logging in this dataset.

Note complete absence of smoke/CO and water leak device logs in provided chunks; status is unknown.

Investigator correctly interprets Matter-scaled temperatures and occupancy booleans.

Minor inaccuracy: The temperature drop from 27.14°C began at 18:45, *before* the cook surface was activated at 18:49:30, though this does not change the safety conclusion.

The anomaly hypothesis (A1) relies heavily on missing kitchen occupancy logs and a transient `None` reading, which carries a high false-alarm risk per guidelines. However, the investigator appropriately weighs this against strong corroborating evidence (dishwasher startup, gradual temp decline, no alarm triggers) and correctly classifies it as a likely false alarm.

Analysis is on-topic, protocol-compliant, and sufficiently covers the trigger, context, and mitigation phases. Ready for final verdict.

Routine evening cooking and standard night routine. The home transitions from an unoccupied overnight baseline to occupied evening hours with normal cooking activity, followed by a secure night state with auto-locking.

C00 shows all rooms unoccupied with stable temperatures (~22.7-23.0 C) overnight.

C15 shows entrance and living room occupancy at 1, indicating residents are home.

C15 shows kitchen cook surface turning on at 18:49:30, coinciding with elevated kitchen temperatures (peak 27.14 C at 18:35), consistent with normal meal preparation.

C19 shows a standard auto-lock sequence: front door contact opens at 22:13:46, followed immediately by an auto-lock event and locked state at 22:13:47.

Assumes the cook surface was turned off after the 19:10 log cutoff without explicit confirmation.

Relies on the dropping kitchen temperature as the primary indicator that cooking activity is safe and non-escalating.

Potential unattended cooking risk. The cook surface activates in the evening, but logs end without recording it being turned off, and kitchen occupancy is not tracked, leaving supervision status unverified.

C15: `kitchen_cook_surface | OnOff.OnOff = on` at 18:49:30 with no subsequent off-state logged before the window closes at 19:10:28.

C15: Kitchen occupancy sensor data is absent, so it is unknown if a resident is actively monitoring the cooking area.

C15: Brief telemetry dropout (`None`) from the kitchen temp sensor at 18:50:00 coincides with the cook surface activation, potentially masking real-time heat monitoring.

Kitchen temperature shows a steady decline from 27.14 C (18:35) to 24.52 C (19:10), which strongly contradicts a fire risk or hazardous heat escalation.

The cook surface log may simply be a delayed state update or part of a normal, supervised cooking session that continues safely past the log cutoff.

No smoke, CO, or heat-escalation alarms are triggered.

C15: Cook surface turns on at 18:49:30 but remains in an unknown state at 19:10:28.

C15: Kitchen temperature trend (27.14 C -> 24.52 C) indicates cooling rather than heating, mitigating fire risk.

C15: Transient `None` reading from kitchen_temp_sensor at 18:50:00, immediately recovering to 26.24 C.

C19: Front door contact opens at 22:13:46 followed immediately by an auto-lock event and locked state, confirming secure access control.

Post-19:10 state of the kitchen cook surface to confirm it was turned off.

Kitchen occupancy sensor logs to verify active human supervision during cooking.

Smoke or CO alarm telemetry during the 18:15-19:10 window to rule out combustion byproducts.

Root cause of the transient `None` reading from the kitchen temperature sensor at 18:50:00.

Kitchen cook surface remained ON for approximately 45 minutes (18:49:30 to 19:34:00).

smoke_co_alarm telemetry during evening hours

air_conditioner/window_covering states for environmental safety

Correctly interpreted Matter-scaled temperatures and occupancy booleans, avoiding naive literal readings.

The unattended cooking hypothesis (A1) rests mainly on missing OFF logs near the 19:10 truncation boundary and absent kitchen occupancy, which per guidelines triggers a high false-alarm risk without corroborating heat escalation or alarms.

The query requests a 'comprehensive safety status', but the analysis omits critical safety devices: smoke/CO alarms, water leak detectors, and other appliances (dishwasher, laundry_washer, AC, window_covering).

Request adjacent chunks (C16, C17) to verify the cook surface state post-truncation and to cover the broader evening/night safety context.

Refine the investigation to explicitly assess all target safety devices and address the log truncation limitation before concluding.

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

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

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

## Deterministic Signals
{
  "room_activity": {
    "living_room": 405,
    "master_bedroom": 336,
    "second_bedroom": 336,
    "kitchen": 298,
    "bathroom": 54,
    "entrance": 230
  },
  "attribute_frequency": {
    "MeasuredValue": 1157,
    "Occupancy": 473,
    "OnOff": 14,
    "StateValue": 5,
    "LockState": 4,
    "SystemMode": 1,
    "OperationalState": 1
  },
  "lock_state_flips": 4,
  "occupancy_events": 473,
  "temperature_patterns": [],
  "value_format_hints": {
    "temperature": "MeasuredValue is shown as Celsius with the raw integer preserved in parentheses.",
    "occupancy": "0=unoccupied, 1=occupied",
    "lock_state": "enumerated lock state rendered as label + raw code"
  }
}

## Chunk Index
[
  {
    "chunk_id": "C00",

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "composite-safety",
  "secondary_task_profile": "none",
  "query_anchor": {
    "target_rooms": [
      "living_room",
      "master_bedroom",
      "second_bedroom",
      "kitchen",
      "bathroom",
      "entrance",
      "balcony"
    ],
    "target_devices": [
      "temperature_sensor",
      "occupancy_sensor",
      "door_lock",
      "contact_sensor",
      "smoke_co_alarm",
      "water_leak_detector",
      "onoff_light",
      "air_conditioner",
      "window_covering",
      "cook_surface",
      "dishwasher",
      "laundry_washer"
    ],
    "target_question": "判断家庭当前的安全状况，指出任何潜在风险"
  },
  "focus_rooms": [
    "kitchen",
    "entrance",
    "living_room"
  ],
  "focus_devices": [
    "kitchen_temp_sensor",
    "front_door_lock",
    "front_door_contact",
    "entrance_occupancy",
    "living_room_occupancy"
  ],
  "focus_chunk_ids": [
    "C00",
    "C15",
    "C19"
  ],
  "suspected_patterns": [
    "Kitchen temperature spike (26.39 C) during evening hours",
    "Frequent entrance occupancy and door lock operations",
    "Consistently high alarmish event count across all rooms"
  ],
  "why_these_chunks": [
    "C00 establishes baseline overnight status with all rooms unoccupied and stable temperatures",
    "C15 captures the kitchen temperature anomaly and evening occupancy context, relevant for cooking/fire or sensor fault assessment",
    "C19 covers the door lock operation and contact sensor state, critical for evaluating access security and routine behavior"
  ],
  "latent_task_profile": "composite-safety",
  "query_intent_profile": "composite-safety"
}

## Investigator

{
  "normal_hypotheses