状态 vs 实际位置不一致

The second_bedroom window sensor is functioning correctly; the observed data represents a valid state transition (closing command followed by confirmation) and stable reporting during a period of inactivity.

Explanation: A 'DownOrClose' command was issued at 08:01:00, which explains the subsequent status reports.

Explanation: The OperationalStatus field remained consistent ('0b000010') after the command, indicating the device successfully acknowledged and maintained the requested state rather than failing or getting stuck.

Explanation: The CurrentPositionLiftPercent100ths value of 5000 (50%) suggests the window cover moved to an intermediate position or stopped midway, which is a valid physical outcome and not an error code.

Explanation: No heartbeat gaps, timeout errors, or conflicting state flips were detected in the raw log surrounding this event.

[2026-06-30T08:01:00] second_bedroom_window | Command: DownOrClose

[2026-06-30T08:01:30] second_bedroom_window | OperationalStatus = 0b000010

[2026-06-30T07:34:24] front_door_lock | DoorLock.LockState = 2

[2026-06-30T07:34:31] front_door_lock | DoorLock.LockState = 1

[2026-06-30T08:01:01] second_bedroom_window | OperationalStatus = 0b000010

Check timestamps immediately preceding and following the 08:01:30 window for any missed heartbeat packets from second_bedroom_window.

Verify if the 'OperationalStatus = 0b000010' corresponds to a valid physical state (e.g., Closed) or if it indicates a hardware timeout.

Cross-reference with network logs to ensure no packet loss occurred for the second_bedroom sub-network during the 08:00 hour.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1841,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 9,
    "living_room": 19,
    "master_bedroom": 14,
    "second_bedroom": 14,
    "bathroom": 9,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T07:34:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T07:34:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T16:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T18:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T22:14:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T07:34:24] front_

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "次卧 (second_bedroom) 的运动传感器和窗户传感器工作正常，未检测到异常事件或状态冲突。",
      "supported_by": [
        "Room activity for second_bedroom is low (14 events), consistent with an empty or unoccupied room during the log period.",
        "Occupancy sensor reports '0' (empty) at 00:00:00, matching the low activity count.",
        "Window sensor operational status remains constant ('0b000010') between 08:01:30 and 08:02:00, indicating stable state reporting without sudden flips or errors.",
        "No suspicious signals specifically flagged for second_bedroom sensors in the provided list."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "次卧窗户传感器可能存在固件故障或通信丢包，导致状态更新频率极低且缺乏上下文（如开/关动作）。",
      "supported_by": [
        "Only three specific events reported for second_bedroom_window between 08:01:30 and 08:02:00, all showing identical status.",
        "Lack of diverse event types (e.g., Opening/Closing operations) compared to other active devices like door locks."
      ],
      "contradicted_by": [
        "The system does not flag this as a 'suspicious_signal' despite the sparse data, suggesting it might be within normal quiescent behavior for that device type.",
        "OperationalStatus value is binary/clean, not showing error codes typically associated with sensor failure."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-30T08:01:00] second_bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-30T08:01:30] second_bedroom_window | CurrentPositionLiftPercent100ths = 5000"
  ],
  "what_to_verify_in_raw_log": [
    "Check timestamps immediately preceding and following the 08:01:30 window for any missed heartbeat pac


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

通知住户门锁可能卡住/故障，建议手动检查

The entrance sensor and lock system are functioning normally; the apparent 'stuck' state in Stage-1 analysis was caused by a transient signal bounce (false closure) that the system correctly handled with an auto-unlock recovery.

Explanation: Analysis of the raw log at 07:28 reveals a clear sequence: Manual Lock Command -> Sensor reads False (Closed) -> Sensor briefly reverts to True (Open/Bounce) -> System Auto-Unlocks (State 1).

Explanation: This confirms the physical door closed successfully (State 2), but the contactor generated a momentary noise event causing a brief false-open reading.

Explanation: The system's automatic correction mechanism (Auto Unlock at 07:28:21) resolved the discrepancy immediately, proving the logic is intact and not stuck.

Explanation: A similar pattern occurs at 22:03 where the sensor bounces after closing, triggering an auto-reversion, further validating normal operational behavior with minor electrical noise.

Explanation: There is no evidence of a persistent failure to detect closure or a security breach, as the lock state eventually returns to Open (1) consistently when the sensor indicates the door is open.

[2026-06-04T07:28:19] front_door_contact | BooleanState.StateValue = False (Door physically closed)

[2026-06-04T07:28:20] front_door_contact | BooleanState.StateValue = True (Transient bounce detected)

[2026-06-04T07:28:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto) (System corrected itself)

Monitor for recurring sensor bounce events if they become frequent, which could indicate loose wiring.

No immediate intervention required as the system self-corrected and maintained security integrity.

[2026-06-04T07:28:17] front_door_lock | DoorLock.LockState = 2

History of the entrance_occupancy_sensor to see if it registered motion entering/exiting around these times which might correlate with the lock state discrepancy.

Battery level and last calibration timestamp of the front_door_lock module to rule out power-induced sensor drift.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1660,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 22,
    "master_bedroom": 10,
    "second_bedroom": 11,
    "bathroom": 9,
    "entrance": 27
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-04T03:10:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-04T07:28:17] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T07:28:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T22:03:43] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T03:10:05] front_door_lock | LockState = 2",
    "[202

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Entrance contact sensor (front_door_lock) exhibits a 'Stuck Open' fault, failing to detect the door closure event despite manual locking operations.",
      "supported_by": [
        "[2026-06-04T07:28:17] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-04T07:28:21] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-04T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-04T18:01:00] front_door_lock | DoorLock.LockState = 2",
        "[2026-06-04T22:03:43] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive for 'DoorLeftOpen' alarm triggered by sensor failure rather than an actual security breach.",
      "supported_by": [
        "[2026-06-04T03:10:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Mismatch between Manual Lock Action (Time 07:28:17 and 18:01:00) and subsequent LockState readings indicating the door remains open (State 1/Open) immediately after locking.",
    "Repeated Alarm events occurring when the system logic expects a secure state due to the sensor's inability to transition from Open to Closed."
  ],
  "what_to_verify_in_raw_log": [
    "Raw GPIO voltage levels or magnetic reed switch closure timestamps at exactly 07:28:19 and 18:01:01 to confirm physical door closure vs. sensor signal absence.",
    "History of the entrance_occupancy_sensor to see if it registered motion entering/exiting around these times which might correl


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 occupancy sensor is functioning correctly; it consistently reported 'empty' during the night and subsequently detected occupancy when residents returned in the morning and evening.

Explanation: Analysis of the raw log shows continuous 'OccupancySensing.Occupancy = 0' reports for living_room_occupancy from 00:00 to 04:30, indicating a stable 'empty' state consistent with nighttime conditions.

Explanation: No data loss or timestamp gaps were found in the living room sensor logs; events are recorded regularly alongside other sensors (e.g., temperature sensors), ruling out communication failure.

Explanation: Contextual evidence confirms sensor accuracy: The sensor later correctly transitioned to 'Occupancy = 1' at 07:49:00 upon resident arrival and again at 18:14:00, proving the device is not stuck in an 'off' state.

Explanation: All bedroom and entrance sensors also show logical transitions corresponding to door lock events and light changes, further validating the integrity of the occupancy detection system.

[2026-06-12T07:49:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-12T18:14:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-12T07:45:30] front_door_lock | DoorLock.LockState = 2

[2026-06-12T07:45:37] front_door_lock | DoorLock.LockState = 1

[2026-06-12T16:06:00] front_door_lock | DoorLock.LockState = 2

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1843,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 10,
    "living_room": 19,
    "master_bedroom": 16,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-12T07:45:30] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T07:45:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-12T16:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T18:14:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T22:48:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-12T07:45:30] front_d

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Living room occupancy sensor is functioning correctly, reporting consistent 'empty' state during the monitored night period.",
      "supported_by": ["[2026-06-12T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-12T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive or sensor drift in living room occupancy detection due to lack of temporal context (e.g., could be empty all day vs. just at night).",
      "supported_by": [],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "The evidence packet provides zero activity data (room_activity count) for the living_room outside of the specific suspicious signals listed, making it impossible to verify if the sensor detected presence earlier in the day."
  ],
  "what_to_verify_in_raw_log": [
    "Search for any 'OccupancySensing.Occupancy = 1' events for 'living_room_occupancy' prior to 2026-06-12T00:00:00 to determine if the sensor was previously detecting presence.",
    "Check the timestamp resolution and event rate around 2026-06-12T00:00:00 to ensure no data loss occurred that might have hidden a transition from Occupied to Unoccupied."
  ],
  "provisional_risk": "low"
}

## Focused Raw Log
[2026-06-12T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-06-12T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-12T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-12T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-12T00:00:00] bathroom_occup


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）

All occupancy sensors across the entire house are simultaneously reporting a static '0' state for over five hours, indicating a global system failure or network freeze rather than isolated device malfunction.

Explanation: The raw log shows every single room's occupancy sensor (living_room, master_bedroom, second_bedroom, bathroom, entrance) reporting 'Occupancy = 0' at identical timestamps from 00:00 to 05:35.

Explanation: The simultaneous and persistent nature of this zero-readout across physically separated rooms makes independent sensor failure statistically impossible.

Explanation: This pattern matches the hypothesis of a global broadcast failure, power loss to the sensor hub, or firmware freeze affecting the entire monitoring cluster.

[2026-06-14T00:00:00] ... entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T05:30:00] ... second_bedroom_occupancy | OccupancySensing.Occupancy = 0

Check the physical power status and network connectivity of the central sensor hub/gateway.

Inspect system logs for a reboot event or watchdog timer reset around 00:00.

Manually verify the presence of occupants in the home via alternative means (e.g., door locks, camera feeds) until the sensor network is restored.

{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The second_bedroom occupancy sensor is reporting a continuous '0' (empty) state across multiple hourly intervals, which contradicts the expected dynamic behavior of an occupied home environment during this timeframe.",
      "supported_by": ["[2026-06-14T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-14T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-14T01:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-14T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": ["room_activity": { "second_bedroom": 12 } - The existence of 12 activity events in the second_bedroom suggests some interaction or signal generation occurred, implying the room was not entirely silent/dead for the entire duration."]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Global system-wide false negative: All motion sensors in the house are simultaneously stuck at '0', suggesting a potential network broadcast failure, power loss to the sensor hub, or a firmware freeze rather than individual device malfunction.",
      "supported_by": ["All listed suspicious_signals show Occupancy = 0 for every room (living_room, master_bedroom, second_bedroom, bathroom, entrance) at identical timestamps.", "The simultaneity of the zero readings across physically separated rooms makes independent sensor failure highly improbable."],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Data truncation or sampling gap: The logs only display data points starting from 00:00 and ending at 01:30, potentially missing the actual occupancy event that triggered one of the 12 recorded 'focus_event_count' entries for the second_bedroom.",
      "supported_by": ["The provided evidence packet only contains a subset of the total 1397 events, specifically highlighting the start of a monitoring window.", "The presence of 12 'room_activity' counts implies events exist outside the specific 'suspicious_signals' list shown."],
      "contradicted_by": ["The explicit labeling of these signals as 'suspicious_signals' by the system analyzer suggests the anomaly lies within the reported data itself, not just a missing slice."],
      "most_concerning_signals": [
        "[2026-06-14T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-14T01:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "what_to_verify_in_raw_log": [
        "Check raw MQTT/Kafka logs for the second_bedroom_occupancy topic between 00:00 and 01:30 to see if any non-zero values were transmitted but dropped by the aggregator.",
        "Verify network connectivity status and heartbeat packets for the second_bedroom motion sensor node during the reported timestamps.",
        "Cross-reference the timestamp of the 12th 'room_activity' event for second_bedroom to determine if it coincides with a period where other sensors showed anomalies."
      ],
      "provisional_risk": "medium"
    }
  ],
  "most_concerning_signals": [
    "[2026-06-14T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T01:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Inspect raw telemetry for the second_bedroom_occupancy sensor ID to detect any missed transmission windows or flatline errors.",
    "Check the system health log for global sensor hub reboots or PING failures occurring at 00:00 or 01:00.",
    "Correlate the exact timestamps of the 12 'room_activity' events in second_bedroom against the occupancy stream to find the missing positive reading."
  ],
  "provisional_risk": "medium"
}

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1397,
  "salient_event_count": 60,
  "focus_event_count": 84,
  "room_activity": {
    "kitchen": 12,
    "living_room": 24,
    "master_bedroom": 12,
    "second_bedroom": 12,
    "bathroom": 12,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-14T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The second_bedroom occupancy sensor is reporting a continuous '0' (empty) state across multiple hourly intervals, which contradicts the expected dynamic behavior of an occupied home environment during this timeframe.",
      "supported_by": ["[2026-06-14T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-14T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-14T01:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-14T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": ["room_activity": { "second_bedroom": 12 } - The existence of 12 activity events in the second_bedroom suggests some interaction or signal generation occurred, implying the room was not entirely silent/dead for the entire duration."]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Global system-wide false negative: All motion sensors in the house are simultaneously stuck at '0', suggesting a potential network broadcast failure, power loss to the sensor hub, or a firmware freeze rather than individual device malfunction.",
      "supported_by": ["All listed suspicious_signals show Occupancy = 0 for every room (living_room, master_bedroom, second_bedroom, bathroom, entrance) at identical timestamps.", "The simultaneity of the zero readings across physically separated rooms makes independent sensor failure highly improbable."],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Data truncation or sampling gap: The logs only display data points starting from 00:00 and ending at 01:30, potentially missing the actua


通知住户门锁可能卡住/故障，建议手动检查

The entrance lock sensor exhibits a critical malfunction where it triggers an alarm while reporting the door is locked, despite raw logs confirming the physical contact switch remains closed (door shut).

Explanation: Raw log at 09:07:05-09:07:15 shows repeated 'LockDoor' commands and the system reporting LockState=2 (Locked), yet an immediate 'DoorLockAlarm' fires.

Explanation: Crucially, unlike other timestamps in the log (e.g., 07:21 or 16:07) where the physical 'front_door_contact' state flips to True when unlocked, no contact state change occurs during the 09:07 alarm event, indicating the physical door was actually closed.

Explanation: This contradiction between the reported 'Locked' state and the triggered 'Alarm' (which typically implies unauthorized opening or tampering) confirms a sensor logic failure or firmware bug rather than a security breach.

[2026-06-29T07:21:14] front_door_contact | BooleanState.StateValue = False -> [2026-06-29T07:21:15] ... = True (Normal unlock cycle showing contact works)

Absence of 'front_door_contact' state toggle during the 09:07:15 alarm window

Inspect the physical front door magnetic contact sensor for misalignment or debris.

Review firmware logs for known bugs related to AlarmCode=0 triggering on valid locked states.

Calibrate the lock's internal state machine to decouple alarm triggers from the 'Locked' status flag if hardware replacement is not immediately feasible.

[2026-06-29T22:24:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-29T07:21:12] front_door_lock | DoorLock.LockState = 2

Timestamp mismatch: LockOperation(Auto, Type=0) at 07:21:16 followed immediately by LockState=1, but later LockState jumps to 2 without a clear manual unlock event before an Alarm triggers.

Inconsistent State Transition: Between 09:07:05 and 09:07:15, the lock state is reported as '2' (Locked), yet an 'DoorLockAlarm' fires. This suggests the alarm logic might be erroneously interpreting the 'Locked' state or there is a phantom unlock/unlock cycle not fully captured in the summary events.

High Focus Count vs Low Salient Events: Entrance has 30 focus events but only contributes minimally to salient events compared to its activity level, suggesting noise rather than significant security breaches.

Raw millisecond-level timestamps for front_door_lock contact_sensor and door_lock motor current to verify if the physical lock actually cycled during the 07:21:12 - 07:21:16 window.

Full list of all LockOperation events around 09:07:00 to confirm if any rapid-fire toggle (Open->Close->Open) occurred that was summarized as a single state change.

Check the definition of AlarmCode=0 in the device firmware documentation to determine if it indicates 'Tamper', 'Battery Low', or 'State Mismatch' specifically.

Correlate entrance_occupancy_sensor logs with the 09:07 alarm time to see if motion detection triggered the alarm logic falsely.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1837,
  "salient_event_count": 60,
  "focus_event_count": 94,
  "room_activity": {
    "kitchen": 10,
    "living_room": 21,
    "master_bedroom": 15,
    "second_bedroom": 9,
    "bathroom": 9,
    "entrance": 30
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T07:21:12] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T07:21:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-29T09:07:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-29T16:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T18:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T22:24:33] front_door_lock | Event: LockOperation(Loc

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The entrance area sensors exhibit inconsistent state reporting and potential logic failures. Specifically, the door lock state (2=Locked, 1=Unlocked) contradicts the sequence of LockOperation events, suggesting a sensor calibration error or firmware bug where the lock reports locked immediately after being unlocked automatically.",
      "supported_by": ["[2026-06-29T07:21:12] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-29T07:21:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-29T07:21:16] front_door_lock | DoorLock.LockState = 1", "[2026-06-29T09:07:05] front_door_lock | LockState = 2", "[2026-06-29T09:07:15] front_door_lock | LockState = 2", "[2026-06-29T09:07:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive alarm triggered by conflicting sensor data. The system generated a 'DoorLockAlarm' shortly after the lock was reported as 'Locked' (LockState=2), despite no explicit manual unlock event occurring in that specific window, indicating the alarm trigger condition may be misconfigured or reacting to noisy sensor inputs.",
      "supported_by": ["[2026-06-29T09:07:05] front_door_lock | LockState = 2", "[2026-06-29T09:07:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)", "[2026-06-29T09:07:15] front_door_lock | LockState = 2"],
      "contradicted_by": ["No manual UnlockOperation (Type=0) recorded between 09:07:05 and 09:07:15"]
    }
  ],
  "most_concerning_signals": [
    "Timestamp mismatch: LockOperation(Auto, Type=0) at 07:21:16 followed i


通知住户门锁可能卡住/故障，建议手动检查

The entrance occupancy sensor is functioning correctly as it consistently reports 'Empty' (0) during the provided time window where no room activity events occurred.

Explanation: The raw log shows 'entrance_occupancy' reporting Occupancy=0 at all timestamps from 00:00 to 05:30, which aligns with a typical period of inactivity.

Explanation: The Stage-1 hypothesis regarding malfunction relied on external metadata ('room_activity' showing 16 events) that is absent from the provided focused raw log excerpt.

Explanation: Without evidence of physical presence or interaction in the log file itself, the consistent 'Empty' reading represents normal operational behavior, not a sensor failure.

Explanation: The DoorLockAlarm event at 21:03:15 occurs after the monitoring window ends and corresponds to a successful lock state (State=2), likely triggered by an automated schedule rather than a sensor fault.

Absence of any 'room_activity' or motion trigger logs for the entrance area in the provided snippet

Continue routine monitoring; no immediate intervention required.

Verify if 'room_activity' events existed outside the 00:00-05:30 window to confirm sensor health over a full day cycle.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1397,
  "salient_event_count": 60,
  "focus_event_count": 87,
  "room_activity": {
    "kitchen": 12,
    "living_room": 24,
    "master_bedroom": 12,
    "second_bedroom": 12,
    "bathroom": 11,
    "entrance": 16
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-28T21:03:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-28T21:03:05] front_door_lock | LockState = 2",
    "[2026-06-28T21:03:15] front_door_lock | LockState = 2",
    "[2026-06-28T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T00:00:00] entrance_occupancy | Occupanc

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Entrance occupancy sensor is malfunctioning, consistently reporting 'Empty' (0) despite high room activity counts and door interaction events.",
      "supported_by": ["entrance_occupancy reports Occupancy=0 at multiple timestamps (00:00, 00:30, 01:00, etc.)", "room_activity shows 16 events in entrance, indicating physical presence or interaction"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Front door lock logic may be inconsistent or the contact sensor is failing to register state changes corresponding to the reported alarm/lock states.",
      "supported_by": ["DoorLockAlarm event occurred with AlarmCode=0 (often indicates unexpected state change or failure)", "LockState=2 reported twice in close proximity without explicit state transition logs between them"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-28T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T00:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T21:03:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of raw 'occupancy' state changes for entrance_occupancy_sensor to verify if they ever registered as 1 during the period of 'room_activity' events.",
    "Raw GPIO/I2C read values from the entrance motion sensor around T21:03:15 to see if the sensor detected movement triggering the lock alarm.",
    "History of 'front_door_contact_sensor' state transitions to correlate with the 'LockState' changes and the 'DoorLockAlarm' event."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-28T00:00:00] k


通知住户该区域烟雾报警器失灵，建议立即更换，期间注意防火

The kitchen smoke alarm has reported a confirmed hardware fault event at 19:17:00, rendering the safety device non-functional.

Explanation: Raw log explicitly records 'HardwareFaultAlert = True' and 'Event: HardwareFault()' for the kitchen_smoke_alarm at 2026-06-11T19:17:00.

Explanation: This event is corroborated by the ExpressedState changing to 5 (typically indicating fault/error states in smart home protocols).

Explanation: No contradictory evidence suggests the sensor was functioning normally during this specific timestamp; the temperature readings are from a different sensor (kitchen_temp_sensor) and do not negate the alarm's internal failure report.

Immediately inspect the physical battery and circuit board of the kitchen smoke alarm.

Replace the battery or the entire unit if hardware components are damaged, and verify restoration of status before clearing the alert.

[2026-06-11T07:37:12] front_door_lock | DoorLock.LockState = 2

[2026-06-11T07:37:23] front_door_lock | DoorLock.LockState = 1

room_activity.kitchen = 13
room_activity.living_room = 25

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1656,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 13,
    "living_room": 25,
    "master_bedroom": 10,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-11T19:17:00] kitchen_smoke_alarm | HardwareFaultAlert = True",
    "[2026-06-11T07:37:12] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-11T07:37:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-11T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-11T19:17:00] kitchen_smoke_alarm | Event: HardwareFault()",
    "[2026-06-11T21:55:45] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Kitchen smoke alarm has experienced a hardware fault, indicating potential sensor failure or connectivity issues.",
      "supported_by": ["[2026-06-11T19:17:00] kitchen_smoke_alarm | HardwareFaultAlert = True", "[2026-06-11T19:17:00] kitchen_smoke_alarm | Event: HardwareFault()"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "The kitchen area shows low activity relative to living spaces, which may correlate with the device malfunction preventing normal operation monitoring.",
      "supported_by": ["room_activity.kitchen = 13", "room_activity.living_room = 25"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-11T19:17:00] kitchen_smoke_alarm | HardwareFaultAlert = True",
    "[2026-06-11T19:17:00] kitchen_smoke_alarm | Event: HardwareFault()"
  ],
  "what_to_verify_in_raw_log": [
    "Check battery voltage levels for the kitchen_smoke_alarm at timestamp 19:17:00.",
    "Verify network connectivity status (Wi-Fi/Zigbee signal strength) for the kitchen_smoke_alarm during the event window.",
    "Review recent maintenance logs or firmware update history for the kitchen_smoke_alarm model.",
    "Inspect if other sensors in the kitchen (temperature_sensor, contact_sensor) also reported communication errors around the same time."
  ],
  "provisional_risk": "high"
}

## Focused Raw Log
[2026-06-11T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273
[2026-06-11T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-11T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-11T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy


温度传感器读数固定（stuck-at）

标记传感器可能故障，建议住户检查/更换

The kitchen temperature sensor is reporting physically impossible values (2000+ degrees) for an extended period and subsequently returns null data, indicating a hardware failure or calibration loss.

Explanation: Kitchen temperature readings are impossibly high (ranging from 2279 to 2356), which exceeds the maximum operational limit of any standard residential environment and likely any sensor's valid measurement range.

Explanation: In contrast, the living room temperature sensor shows plausible values (2248-2404), confirming that the data collection system is functional and the issue is isolated to the kitchen device.

Explanation: At timestamp 18:15:00, immediately after the cook surface was activated, the sensor returned 'None', suggesting a complete loss of signal or power following the anomaly.

[2026-06-09T18:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None

Replace or recalibrate the kitchen temperature sensor immediately.

Verify the sensor's physical connection and power supply status.

[2026-06-09T07:38:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-09T15:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-09T18:15:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-09T22:21:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-09T06:44:05] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-09T07:38:20] front_door_lock | DoorLock.LockState = 2

[2026-06-09T07:38:31] front_door_lock | DoorLock.LockState = 1

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

## Layout
Layout: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 2296,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 9,
    "living_room": 15,
    "dining_room": 8,
    "master_bedroom": 10,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 8,
    "entrance": 19
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-09T07:38:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T07:38:31] front_door_lock | E

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Kitchen sensors are functioning normally; no anomalous events or suspicious signals detected for kitchen devices.",
      "supported_by": ["room_activity.kitchen = 9 (indicating valid event logging)", "absence of any 'kitchen' entries in 'suspicious_signals'"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [],
  "what_to_verify_in_raw_log": [],
  "provisional_risk": "none"
}

## Focused Raw Log
[2026-06-09T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2279
[2026-06-09T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-09T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-09T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-09T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-09T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-09T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-09T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-06-09T00:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-06-09T00:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283
[2026-06-09T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-09T00:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-09T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-09T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-09T00:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-09T00:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-09T00:3


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

通知住户门锁可能卡住/故障，建议手动检查

The entrance door lock sensor reports a 'DoorLockAlarm' immediately after locking, despite the physical state changing to Locked, indicating a communication or mechanical failure in the lock module.

Explanation: At 14:59:05, the log shows LockState=2 (Locked), but an alarm triggers at 14:59:15 with AlarmCode=0, which typically signifies a status mismatch or failure to confirm the lock engagement.

Explanation: Unlike other incidents where the contact sensor toggles (e.g., 07:31 and 22:48) reflecting actual door movement, this specific alarm occurs while the system is commanding a static 'LockDoor' operation without any corresponding door opening/closing events in the immediate window.

Explanation: The repeated command for 'LockDoor' at 14:59:10 followed by the alarm suggests the control logic detected that the expected confirmation signal was missing after the physical actuation, pointing to a malfunction within the lock's internal reporting mechanism.

Physically inspect the entrance door lock cylinder and latch mechanism for binding or misalignment.

Replace or recalibrate the electronic lock module to resolve the false alarm generation.

[2026-06-15T07:31:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T15:58:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T18:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T22:48:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T06:34:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-15T07:31:29] front_door_lock | DoorLock.LockState = 2

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

## Layout
Layout: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 2298,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 8,
    "living_room": 15,
    "dining_room": 9,
    "master_bedroom": 12,
    "second_bedroom": 6,
    "kids_room": 10,
    "master_bathroom": 6,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-15T07:31:29] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T07:31:35] front_door_lock |

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Entrance door lock sensor state reporting is inconsistent with physical lock operation events.",
      "supported_by": ["[2026-06-15T14:59:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)", "[2026-06-15T14:59:05] front_door_lock | LockState = 2 (Locked) but Alarm triggered shortly after", "Multiple Manual Unlock events at 15:58 and 18:19 where the system may not have recorded a corresponding 'Unlock' event in the log snippet, only showing state change to 1 later or missing intermediate states"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Possible false positive on the entrance contact sensor due to lock mechanism interference or misalignment.",
      "supported_by": ["Repeated rapid toggling between LockState 1 (Unlocked) and LockState 2 (Locked) without clear OccupancySensor correlation in the entrance room activity count which seems low compared to other active rooms despite frequent door usage implied by lock logs"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-15T14:59:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-15T14:59:05] front_door_lock | LockState = 2"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamped raw readings from the entrance_contact_sensor to verify if it reports Open/Closed correctly during the alarm window.",
    "Raw GPIO/magnetometer data from the door_lock module to distinguish between mechanical binding and electrical signal noise causing the alarm.",
    "Check for missed 'Unlock' events immediately preceding the 'Manual' lock operations at 15:58 and 18:19."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-1


温度传感器读数固定（stuck-at）

标记传感器可能故障，建议住户检查/更换

All occupancy sensors are functioning normally, consistently reporting an empty state during the late-night/early-morning window and correctly detecting presence upon human return at 22:54.

Explanation: The 'living_room_occupancy' sensor reports '0' (empty) from 00:00 to 05:30, which aligns with the expected absence of occupants during these hours.

Explanation: At 22:54:00, the sensor correctly transitions to '1' (occupied) shortly after the front door contact triggers and the lock engages automatically, confirming the sensor is responsive to actual human presence.

Explanation: There is no evidence of a stuck state, signal loss, or failure to detect movement; the pattern represents normal operation for an unoccupied home that was later entered.

[2026-06-14T22:54:00] living_room_occupancy | OccupancySensing.Occupancy = 1

Consistent '0' readings between 00:00 and 05:30 indicating no unauthorized presence.

[2026-06-14T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

Front door lock operation (LockOperationType=0, Auto) occurring without a corresponding motion event in entrance or living room prior to it, though this could be normal automation.

Check raw packet timestamps between 22:52 and 01:30 for any missed transmission windows from the living_room_occupancy node.

Verify battery voltage levels for the living_room_occupancy sensor in device diagnostics.

Cross-reference with the `living_room_light` or `dimmable_light` power-on events to see if human presence was inferred via light usage despite the sensor saying 'empty'.

Inspect the network latency/jitter logs around 00:00 to rule out network timeouts causing stale data reads.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1573,
  "salient_event_count": 60,
  "focus_event_count": 88,
  "room_activity": {
    "kitchen": 12,
    "living_room": 27,
    "master_bedroom": 12,
    "second_bedroom": 12,
    "bathroom": 11,
    "entrance": 14
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-14T22:52:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-14T10:09:15] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-14T22:52:26] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-14T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:00:00] bathroom_occupancy | Occupa

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Living room occupancy sensor is malfunctioning or permanently offline, as it consistently reports '0' (empty) during a period where other sensors are also reporting '0', but the pattern of simultaneous zero-across-all-sensors suggests a potential system-wide state reset or a specific failure mode in the living room node if house activity logs indicate presence elsewhere.",
      "supported_by": [
        "[2026-06-14T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-14T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-14T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-14T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The house was completely empty during the observed time window (late night to early morning), and all sensors are functioning correctly by reporting consistent empty states.",
      "supported_by": [
        "All room occupancy sensors report 0 from 00:00 to 01:30",
        "Room activity count for living_room is low (27 events total, likely historical context)"
      ],
      "contradicted_by": [
        "The strict synchronization of all rooms going to '0' exactly at hourly marks might suggest a polling artifact rather than organic movement, but not necessarily a fault."
      ]
    }
  ],
  "most_concerning_signals": [
    "Repeated 'Occupancy = 0' readings for living_room at exact hourly intervals (00:00, 00:30, 01:00, 01:30) which may indicate a stuck sensor state or a firmware polling issue rather than dynamic detection.",
    "Fr


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）

Master bedroom sensors are functioning correctly, reporting consistent empty states during night hours and detecting occupancy upon human arrival in the evening.

Explanation: The master_bedroom_occupancy sensor consistently reports '0' from midnight (00:00) through early morning (03:00), which aligns with the expected state of an unoccupied room at night.

Explanation: At 17:43:00, the sensor correctly transitions to '1', coinciding with a manual lock operation on the front door, indicating the resident has returned home.

Explanation: The subsequent report of '1' at 22:22:16 is consistent with typical evening activity patterns, showing no data gaps or stuck states.

Explanation: All reported values fall within standard logical ranges for occupancy sensing.

[2026-06-30T00:00:00] ... master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-30T17:43:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-30T07:47:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-30T16:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-30T17:43:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-30T22:22:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-30T06:49:19] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-30T07:47:22] front_door_lock | DoorLock.LockState = 2

[2026-06-30T07:47:27] front_door_lock | DoorLock.LockState = 1

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

## Layout
Layout: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 2300,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 15,
    "dining_room": 8,
    "master_bedroom": 11,
    "second_bedroom": 7,
    "kids_room": 14,
    "master_bathroom": 8,
    "entrance": 19
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T07:47:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T07:47:27] front_door_l

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Master bedroom sensors are functioning correctly, reporting consistent occupancy states and standard window cover positions.",
      "supported_by": ["Room activity count for master_bedroom is 11 (consistent with other rooms), indicating the device is transmitting data regularly.", "Occupancy sensor reports '0' at midnight across all rooms, including master_bedroom, which is a valid state for an empty room.", "Window covering position reported as '10000' (fully closed) aligns with typical evening routines when lights are off or windows are secured."],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [],
  "what_to_verify_in_raw_log": [],
  "provisional_risk": "none"
}

## Focused Raw Log
[2026-06-30T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-06-30T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-06-30T00:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2274
[2026-06-30T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:30:00] master_


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 occupancy sensor is functioning correctly; the consistent '0' readings during the night are corroborated by simultaneous '0' readings from all other house sensors and the absence of any motion or window events in the living room area until morning.

Explanation: All occupancy sensors across the entire house (living room, dining room, bedrooms, etc.) reported '0' simultaneously at midnight intervals (00:00, 00:30, 01:00, etc.), indicating a synchronized state of an empty house rather than a single-point failure.

Explanation: There are no supporting evidence logs for human activity, door entry/exit, or window manipulation in the living room between 00:00 and 06:22, which aligns with the sensor's 'Empty' status.

Explanation: The first indication of presence occurs later in the day (entrance at 15:58, kids_room at 17:49), confirming the system was capable of detecting occupancy when present, thus ruling out a permanent malfunction.

[2026-06-23T00:00:00] to [2026-06-23T03:00:00]: All room occupancy sensors (living_room, master_bedroom, kids_room, etc.) consistently report Occupancy = 0.

No motion events, light activations, or window cover movements occurred in the living room during the nighttime period where occupancy was reported as 0.

[2026-06-23T07:43:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-23T15:59:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-23T17:50:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-23T22:31:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-23T06:22:12] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-23T07:43:21] front_door_lock | DoorLock.LockState = 2

[2026-06-23T07:43:29] front_door_lock | DoorLock.LockState = 1

Verify the timestamp accuracy of the 00:00:00 log entry (is it a system cron job or a real event?).

Compare the signal strength (RSSI) or battery level of the living_room_occupancy sensor against others to rule out power issues.

Check if the 00:00:00 reading is part of a batched reporting cycle common for occupancy sensors.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

## Layout
Layout: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 2308,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 16,
    "dining_room": 7,
    "master_bedroom": 10,
    "second_bedroom": 7,
    "kids_room": 14,
    "master_bathroom": 7,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-23T07:43:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-23T07:43:29] front_door_lock

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Living room occupancy sensor is malfunctioning, likely due to a sensor failure or configuration error causing it to report 'Empty' (0) at midnight while other rooms also show 'Empty' (possibly indicating a system-wide reset or synchronized false negative).",
      "supported_by": ["[2026-06-23T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The living room occupancy sensor is functioning correctly because the entire house was empty at 00:00:00 (midnight), consistent with typical household behavior where all residents are asleep or away.",
      "supported_by": ["[2026-06-23T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-23T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-23T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": ["No evidence of activity in living_room during daytime hours (only 16 events total vs 21 in entrance, suggesting low but not zero normal activity; however, absence of specific timestamps makes definitive contradiction impossible without raw logs)."],
      "notes": "This hypothesis relies on the assumption that 00:00:00 represents a valid time for an empty house. If the house should have occupants at midnight, H1 becomes true."
    }
  ],
  "most_concerning_signals": [
    "[2026-06-23T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check if there were any movement events in living_room between 23:59 and 00:01 to see if the sensor missed motion.",
    "Verify the timestamp accuracy


温度传感器读数固定（stuck-at）

标记传感器可能故障，建议住户检查/更换

The living room occupancy sensor is stuck reporting '0' (empty) during periods of confirmed high activity and device interaction, contradicting normal system behavior.

Explanation: System-wide analysis shows all occupancy sensors reported '0' simultaneously at midnight, suggesting a potential clock skew or sync event that was later corrected for other devices.

Explanation: Unlike other rooms which eventually report '1' upon user return (e.g., dining_room at 21:05), the living_room_occupancy sensor remains stuck at '0' even after timestamps indicate presence in other zones.

Explanation: Direct evidence confirms anomaly: At 2026-06-26T21:06:03, the living_room_occupancy sensor correctly reports '1', proving the hardware works when not stuck; however, prior readings at 00:00, 00:30, 01:00, etc., show it incorrectly stuck at '0' despite high activity counts attributed to this room.

[2026-06-26T21:06:03] living_room_occupancy | OccupancySensing.Occupancy = 1

Inspect the physical wiring and battery connection of the living room occupancy sensor.

Reset the specific sensor node to clear any stuck state caused by the initial sync failure.

[2026-06-26T07:25:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-26T16:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-26T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-26T22:35:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-26T06:50:18] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-26T07:25:25] front_door_lock | DoorLock.LockState = 2

[2026-06-26T07:25:35] front_door_lock | DoorLock.LockState = 1

Inspect the configuration history for the living_room_occupancy sensor to check for firmware updates or battery replacement events coinciding with the anomaly time.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

## Layout
Layout: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 2299,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 10,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 10,
    "second_bedroom": 7,
    "kids_room": 10,
    "master_bathroom": 7,
    "entrance": 22,
    "second_bathroom": 1
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T07:25:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-2

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Living room occupancy sensor is malfunctioning or falsely reporting an empty state during active periods, contradicting the high activity count observed in this room.",
      "supported_by": [
        "Room activity data shows 14 events specifically attributed to 'living_room', implying user presence and interaction with devices in that zone.",
        "Suspicious signal '[2026-06-26T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0' indicates a hard-coded or stuck zero reading at midnight."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential synchronization failure or clock skew causing all occupancy sensors across the entire house to report '0' simultaneously at exactly midnight (00:00:00).",
      "supported_by": [
        "Multiple suspicious signals show different room occupancy sensors (dining_room, master_bedroom, second_bedroom, kids_room, etc.) all logging 'Occupancy = 0' precisely at '2026-06-26T00:00:00'.",
        "The timestamp precision suggests a system-wide event rather than isolated device failures."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-26T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw logs around '2026-06-26T00:00:00' for the living_room_occupancy sensor to see if it was manually triggered by a reset command or if it dropped due to a communication timeout.",
    "Verify the 'focus_event_count' (89) against the specific timestamps of these occupancy readings to determine if the system ignored valid motion detection events when the sensor reported '0'.",


温度传感器读数漂移（drift）

The continuous 'Empty' readings for the master bedroom are consistent with a genuine household sleep schedule where all rooms were unoccupied during the specified night hours.

Explanation: All occupancy sensors across every monitored room (living_room, dining_room, bedrooms, bathrooms, entrance) report a value of 0 at identical timestamps.

Explanation: The uniformity of zero readings across the entire house strongly indicates a normal state of universal vacancy rather than isolated sensor failure.

Explanation: There is no evidence in the provided raw log of conflicting data (e.g., motion spikes or temperature anomalies) within the master bedroom that would contradict the 'Empty' status.

[2026-06-21T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0 AND [2026-06-21T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

Consistent zero occupancy reports from all zones between 00:00 and 04:00

[2026-06-21T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

## Layout
Layout: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1493,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 9,
    "living_room": 17,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 9,
    "kids_room": 9,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-21T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T00:00:00] dining_room_occupancy | OccupancySensing.Occ

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Master bedroom occupancy sensor is malfunctioning or blocked, reporting 'Empty' (0) continuously despite the room having a scheduled activity count of 9.",
      "supported_by": ["suspicious_signals shows repeated master_bedroom_occupancy = 0 at 00:00, 00:30, 01:00"],
      "contradicted_by": ["room_activity metadata for master_bedroom is 9, implying events were recorded in this room zone"]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The entire house was genuinely empty and sleeping during the night shift (00:00 - 01:00).",
      "supported_by": ["All other rooms also show Occupancy = 0 at these timestamps"],
      "contradicted_by": ["The presence of 78 focus events suggests specific interactions occurred, which might be misattributed if sensors fail to detect movement properly"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-21T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T01:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Search raw logs for any event type other than 'occupancy' (e.g., motion spikes, temperature changes, light toggles) occurring within the master_bedroom zone between 00:00 and 01:00.",
    "Check the signal strength (RSSI) or battery status of the master_bedroom_occupancy_sensor if available.",
    "Verify if the 'focus_event_count' of 78 corresponds to non-occupancy events that were incorrectly aggregated into the room's activity log."
  ],
  "provisional_risk": "medium"
}
```

## Focused Raw Log
[2026-06-21T00:00:00] kitchen_


状态 vs 实际位置不一致

The window covering sensor exhibits normal operation with a successful completion of the commanded movement despite intermittent operational status flags.

Explanation: Command 'DownOrClose' was issued at 21:02:00.

Explanation: OperationalStatus error (0b000010) appeared briefly but resolved as the motor executed the command.

Explanation: Sensor reported an intermediate state (5000) and successfully reached the final closed state (10000) at 21:05:02, confirming actuator functionality and data integrity.

[2026-06-15T21:02:00] kids_room_window | Command: DownOrClose

Monitor for recurrence of OperationalStatus errors.

Check motor firmware if errors persist in future cycles.

[2026-06-15T07:25:44] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T16:16:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T18:02:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T22:47:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T06:46:12] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-15T07:25:35] front_door_lock | DoorLock.LockState = 2

[2026-06-15T07:25:44] front_door_lock | DoorLock.LockState = 1

CurrentPositionLiftPercent100ths = 5000
OperationalStatus = 0b000010 (repeated)

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

## Layout
Layout: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 2295,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 8,
    "living_room": 15,
    "dining_room": 7,
    "master_bedroom": 11,
    "second_bedroom": 6,
    "kids_room": 18,
    "master_bathroom": 7,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-15T07:25:35] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T07:25:44] front_door_lock |

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Kids_room window covering sensor (window_covering) exhibits a failure to report state changes or data corruption.",
      "supported_by": [
        "[2026-06-15T21:02:30] kids_room_window | CurrentPositionLiftPercent100ths = 5000",
        "[2026-06-15T21:05:02] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential intermittent connectivity issue with the kids_room window covering motor, indicated by repeated 'OperationalStatus' errors without successful position updates for an extended period.",
      "supported_by": [
        "[2026-06-15T21:02:01] kids_room_window | OperationalStatus = 0b000010",
        "[2026-06-15T21:02:30] kids_room_window | OperationalStatus = 0b000010",
        "[2026-06-15T21:03:00] kids_room_window | OperationalStatus = 0b000010"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "CurrentPositionLiftPercent100ths = 5000",
    "OperationalStatus = 0b000010 (repeated)"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps between 'OperationalStatus' error events and the final successful position update ('10000') to determine if the motor was actually stalled or just unresponsive.",
    "Correlation between 'OperationalStatus' errors and network gateway packet loss in the same time window.",
    "Check if the 'contact_sensor' (kids_room_window) reports any opening/closing events during the period when the 'window_covering' motor is failing."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-15T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[


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 occupancy sensor is malfunctioning (stuck reporting 'Empty'), creating a discrepancy with system-wide activity logs that indicate presence events.

Explanation: Raw logs confirm the master_bedroom_occupancy sensor reports 'Occupancy = 0' continuously from 00:00 to 04:00 without any state changes.

Explanation: System-level room_activity data indicates non-zero event counts (e.g., count of 9) for the master_bedroom during this period, implying physical movement or presence was detected by other means or logged internally but not reflected in the primary sensor output.

Explanation: The simultaneous static 'Empty' reading across all other rooms suggests either a global house-emptiness scenario, which contradicts the specific activity counts in the bedroom, or a widespread sensor failure; however, the specific mismatch between the bedroom's high activity count and its zero sensor reading points to a localized sensor malfunction rather than normal behavior.

[2026-06-20T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0 ... [2026-06-20T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

room_activity shows a count of 9 for master_bedroom indicating expected events despite static sensor output

Manually inspect the master bedroom PIR/occupancy sensor hardware for obstruction or power issues.

Review device configuration to check if the sensor has been inadvertently disabled or set to an aggressive 'no-motion' suppression rule.

Correlate with temperature or light sensor logs in the master bedroom to verify if environmental changes occurred while occupancy remained falsely reported as zero.

[2026-06-20T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Master Bedroom Occupancy Sensor is malfunctioning (Stuck False), reporting continuous 'Empty' status despite high activity count.",
      "supported_by": [
        "Evidence: master_bedroom_occupancy consistently reports 'OccupancySensing.Occupancy = 0' at multiple timestamps (00:00, 00:30, 01:00).",
        "Evidence: room_activity shows a count of 9 for master_bedroom, indicating events were recorded or expected, yet the sensor output remains static at 0."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The home is completely empty, and all sensors are functioning correctly by reporting 'Empty' state.",
      "supported_by": [],
      "contradicted_by": [
        "Evidence: room_activity counts are non-zero (e.g., 9 for master_bedroom) across multiple rooms, suggesting system-level logging of presence/absence changes or external triggers, which contradicts a static 'always empty' physical reality if no one was ever there.",
        "Context: The timestamp is early morning (00:00 - 01:00), but without explicit 'away' mode activation logs, the total lack of fluctuation in occupancy across ALL rooms simultaneously suggests a sensor failure rather than a coordinated human absence event."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-20T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T01:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw IR/PIR data packets for master_bedroom_occupancy to verify if motion detection pulses were received but not reported.",
    "Verify if 'master_bedroom_occupancy' has been explicitly configured as disabled or set to a 'false positive suppression' rule.",
    "Cross-reference with other devices in master_bedroom (e.g., temperature_sensor, contact_sensor, light_dimmer) to see if their state changes correlate with occupancy events that the motion sensor missed."
  ],
  "provisional_risk": "medium"
}
```

## Task
Analyze the following evidence packet for a smart-home anomaly query.

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

## Layout
Layout: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1493,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 9,
    "living_room": 17,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 9,
    "kids_room": 9,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] dining_room_occupancy | OccupancySensing.Occ

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

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

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Master Bedroom Occupancy Sensor is malfunctioning (Stuck False), reporting continuous 'Empty' status despite high activity count.",
      "supported_by": [
        "Evidence: master_bedroom_occupancy consistently reports 'OccupancySensing.Occupancy = 0' at multiple timestamps (00:00, 00:30, 01:00).",
        "Evidence: room_activity shows a count of 9 for master_bedroom, indicating events were recorded or expected, yet the sensor output remains static at 0."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The home is completely empty, and all sensors are functioning correctly by reporting 'Empty' state.",
      "supported_by": [],
      "contradicted_by": [
        "Evidence: room_activity counts are non-zero (e.g., 9 for master_bedroom) across multiple rooms, suggesting system-level logging of presence/absence changes or external triggers, which contradicts a static 'always empty' physical reality if no one was ever there.",
        "Context: The timestamp is early morning (00:00 - 01:00), but without explicit 'away' mode activation logs, the total lack of fluctuation in occupancy across ALL rooms simultaneously suggests a sensor failure rather than a coordinated human absence event."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-20T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T01:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw IR/PIR data packets for master_bedroom_occupancy to verify if motion