DF-04-FP: 门锁响应延迟但最终成功锁定

{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "Entrance sensors are functioning correctly with no evidence of malfunction, drift, or security breaches.",
  "reasoning": [
    "Occupancy sensor at entrance shows consistent '0' state during off-hours and correctly transitions to '1' upon human arrival events (e.g., 07:31:15, 18:01:24).",
    "Lock operations (manual/unlock) and door contact states align perfectly with occupancy changes, indicating no sensor desynchronization or clock drift.",
    "No contradictory signals such as locked doors while occupancy is detected or missing unlock events were found in the raw log."
  ],
  "key_evidence": [
    "[2026-06-29T07:31:15] entrance_occupancy | OccupancySensing.Occupancy = 1" followed immediately by manual lock and contact closure.
    "[2026-06-29T22:07:37] Auto Unlock event" coinciding with subsequent occupancy detection at 22:08:03.
  ],
  "recommended_actions": [
    "Continue standard monitoring; no immediate intervention required.",
    "Verify this specific time window represents normal household routine for historical consistency."
  ]
}

[2026-06-29T18:03:00] front_door_lock | DoorLock.LockState = 2

[2026-06-29T21:31:03] 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: 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": 1657,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 10,
    "living_room": 22,
    "master_bedroom": 10,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 28
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T07:31:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T07:31:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-29T18:03:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T22:07:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-29T07:31:21] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-29T07:31:28] front_door_lock | DoorLock.LockState = 1",
    "[2026

## 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": "normal",
      "description": "Entrance sensors (door lock and occupancy) are functioning correctly, reflecting standard user behavior patterns.",
      "supported_by": [
        "LockState transitions align perfectly with LockOperation events (Manual Lock->2, Auto Unlock->1).",
        "No conflicting state reports found between operation logs and state snapshots.",
        "Room activity count for entrance (28) is consistent with typical morning/evening routines in a multi-room layout."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [],
  "what_to_verify_in_raw_log": [
    "Verify the timestamp synchronization between front_door_lock operations and entrance_occupancy changes to rule out clock drift causing false negative occupancy readings.",
    "Check if any 'DoorOpen' duration exceeds expected thresholds before the 'Auto' unlock event triggers."
  ],
  "provisional_risk": "none"
}

## Focused Raw Log
[2026-06-29T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-06-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-29T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-29T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-29T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-29T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-06-29T00:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-06-29T00:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-06-29T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-29T00:30:00] master_bedroom_occupancy | OccupancySensing.Occ


DF-06-FP: 窗帘正常移动但速度慢

The sensor reports are consistent with normal operation; the reported 'activity' in summary statistics corresponds to window blind movements detected by a different sensor (second_bedroom_window), not human occupancy.

Explanation: Raw logs show second_bedroom_occupancy only reporting at scheduled intervals (00:00, 00:30, etc.) with value 0, which is normal for this device's polling behavior.

Explanation: Activity was detected in the room via 'second_bedroom_window' sensors between 14:39 and 14:40 showing blinds opening/closing, explaining the non-zero activity count without triggering occupancy.

Explanation: No conflicting data exists where human presence occurred but the sensor failed to report, as no other occupancy event contradicts the empty state during these specific timestamps.

[2026-06-26T14:39:01] second_bedroom_window | WindowCovering.OperationalStatus = 0b000010

[2026-06-26T14:39:30] second_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

No action required; system is functioning as designed.

Review configuration if real-time motion alerts are desired for this zone instead of periodic polling.

[2026-06-26T14:39:10] second_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 5500

Inspect system logs for 'heartbeat' timeouts or connection resets specifically associated with the second_bedroom_occupancy device ID.

## 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": 1661,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 11,
    "living_room": 21,
    "master_bedroom": 10,
    "second_bedroom": 16,
    "bathroom": 9,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T07:39:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T07:39:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T21:45:40] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T07:39:18] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-26T07:39:24] front_door_lock | DoorLock.LockState = 1",
    "

## 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 'Empty' state (0) despite the room having activity recorded in the summary statistics, suggesting potential sensor failure or misconfiguration.",
      "supported_by": ["second_bedroom_occupancy | OccupancySensing.Occupancy = 0 (repeated at 00:00:00 and 00:30:00)", "room_activity shows 16 events for second_bedroom, implying some interaction occurred"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential timestamp synchronization issue where occupancy data only updates at hourly intervals (00:00, 00:30) rather than reacting to real-time motion events.",
      "supported_by": ["All second_bedroom_occupancy entries occur exactly on the hour or half-hour marks"],
      "contradicted_by": ["standard IoT behavior usually involves event-driven updates for occupancy sensors"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-26T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-26T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw MQTT/CoAP logs between 14:39:00 and 15:00:00 for any 'OccupancyChanged' or 'MotionDetected' messages from second_bedroom_occupancy sensor that may have been dropped or ignored by the aggregator.",
    "Verify the specific type of event causing the 'room_activity' count of 16 (e.g., was it window covering movement detected by another sensor, or actual human presence?) to confirm if the occupancy sensor truly missed detection.",
    "Inspect system logs for 'heartbeat' timeouts or connection resets specifically associated with the se


DF-02-FP: 夏季午后持续升温（正常日照效应）

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

The master_bedroom occupancy sensor is functioning correctly; the window actuation at 22:32 occurred while the room was legitimately unoccupied (last detection at 22:32:11) and subsequent events confirm normal user activity.

Explanation: Occupancy sensor registered presence ('1') at 22:32:11, immediately before the window event.

Explanation: Window covering opened to 100% at 22:32:20 when occupancy reading was still '1'.

Explanation: No motion event is required between 22:32:11 and 22:32:20 as the state did not change from occupied to empty; the sensor correctly maintained the 'occupied' state during the action.

Explanation: Later logs show manual locking of the front door at 22:32:31 with no occupancy detected, confirming the sensor accurately reflects the current absence of users.

[2026-06-16T22:32:11] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-16T07:25:21] front_door_lock | DoorLock.LockState = 2

[2026-06-16T07:25:28] front_door_lock | DoorLock.LockState = 1

[2026-06-16T16:04:00] 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 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: 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": 1842,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 11,
    "living_room": 19,
    "master_bedroom": 16,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 25
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-16T07:25:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-16T07:25:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-16T16:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-16T17:58:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-16T22:32:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-16T07:25:21] fron

## 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": "anomaly",
      "description": "The master_bedroom occupancy sensor is likely malfunctioning or disabled, as it reports '0' (empty) during a time window when the master bedroom window covering was actively operated.",
      "supported_by": [
        "[2026-06-16T22:32:20] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-16T22:32:31] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-16T07:25:21] ... [22:32:31] front_door_lock | Event: LockOperation(...)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The master_bedroom occupancy sensor is working correctly, and no one is present in the room; the window operation occurred by an automated routine or remote control without human presence.",
      "supported_by": [],
      "contradicted_by": [
        "[2026-06-16T22:32:20] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ]
    }
  ],
  "most_concerning_signals": [
    "Temporal mismatch between manual/automated window actuation (22:32:20) and zero occupancy reading (last seen at 00:30:00) for master_bedroom."
  ],
  "what_to_verify_in_raw_log": [
    "Check if there are any motion events logged for master_bedroom_occupancy between 22:00 and 23:00.",
    "Verify if the window covering event was triggered by a user command (app/voice) vs. an automation rule that might bypass occupancy checks.",
    "Inspect the device status of master_bedroom_occupancy to see if it is currently powered or reporting errors."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-16T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[202


DF-01-FP: 空调恒温控制导致温度稳定

有微小波动（±0.2°C），不是完全固定值；且空调处于开启状态

The living room occupancy sensor is functioning normally; the reported '0' readings correspond to the actual unoccupied state during the logged timeframe (midnight to late evening), with occupancy only registering at 23:18:00.

Explanation: Raw logs show 'living_room_occupancy = 0' consistently from midnight until 23:15:14.

Explanation: Temperature readings in the living room (e.g., 2393-2550) indicate environmental activity or heating but do not contradict an empty room if no occupants were present to generate body heat signatures.

Explanation: The first positive occupancy event ('Occupancy = 1') occurs exactly at 23:18:00, aligning logically with the front door being unlocked/locked around 23:15:14, suggesting a resident returned home rather than a sensor failure.

Explanation: No evidence of false negatives exists because the sensor correctly remained '0' while the house was effectively unoccupied.

[2026-06-13T23:18:00] living_room_occupancy | OccupancySensing.Occupancy = 1

Continue standard monitoring; no immediate intervention required.

Verify sensor placement if future data shows persistent zero readings despite confirmed human presence via camera or other sensors.

[2026-06-13T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T00:00:00] entrance_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 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": 1572,
  "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": [
    "[2026-06-13T23:15:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-13T09:53:18] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-13T23:15:14] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] 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 reporting false negatives (showing empty) during active household periods, indicated by high activity counts and non-zero temperature patterns.",
      "supported_by": ["living_room_activity_count=27", "living_room_occupancy reports 0 at multiple timestamps"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The living room is genuinely unoccupied during the logged timeframe (night to early morning), resulting in zero occupancy readings.",
      "supported_by": ["living_room_occupancy = 0 at midnight and subsequent hourly checks"],
      "contradicted_by": ["high activity count of 27 in living_room suggesting movement or events occurred"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-13T09:53:18] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "room_activity.living_room = 27 vs suspicious_signals showing persistent Occupancy=0"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps between 09:53:18 and 23:15:14 for 'living_room_occupancy' events to check if any read 1.",
    "Correlation between 'living_room_temperature_sensor' readings and occupancy states to see if heat signatures are detected despite occupancy=0.",
    "Event logs for 'living_room_dimmable_light', 'living_room_onoff_light', or 'living_room_air_conditioner' to verify if devices were triggered while occupancy was reported as 0."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-13T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-06-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-13T00:00:00] master_bedroom_occupan


DF-02-FP: 夏季午后持续升温（正常日照效应）

A window covering motor event at 22:42:23 with a suspicious value of 10000 coincides exactly with the last occupancy detection in the master bedroom, suggesting a forced entry or tampering attempt that was likely masked by the sensor's immediate reset.

Explanation: The raw log shows 'master_bedroom_occupancy' reporting 1 at 22:42:18, indicating someone was present.

Explanation: At exactly 5 seconds later (22:42:23), a 'master_bedroom_window' event occurred with an anomalous value '10000', which typically indicates a parsing error for a full-open state or a motor fault during a breach.

Explanation: No subsequent occupancy logs appear after this sequence until morning, and the light turns off shortly after, consistent with an intruder exiting quickly or the system failing to report further due to the device malfunction/interference.

[2026-06-24T22:42:18] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Physically inspect the master bedroom window for signs of forced entry or damage.

Check the motor mechanism for the window covering to rule out physical obstruction or tampering.

Reset the motion sensor and verify its calibration against the window cover actuator.

[2026-06-24T07:27:20] front_door_lock | DoorLock.LockState = 2

[2026-06-24T07:27:27] front_door_lock | DoorLock.LockState = 1

[2026-06-24T16:34:00] front_door_lock | DoorLock.LockState = 2

Verify the 'current_position_lift_percent' value mapping: does 10000 mean 100% open? If so, check if the window contact sensor reported 'open' simultaneously.

Search raw logs for any 'motion_detected' events in master_bedroom between 22:00 and 00:00 to rule out silent failures.

## 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: 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": 1842,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 11,
    "living_room": 20,
    "master_bedroom": 14,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-24T07:27:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T07:27:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T16:34:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T17:56:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T22:42:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T07:27:20] fron

## 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 occupancy sensor is functioning correctly, reporting zero occupancy during late night hours.",
      "supported_by": [
        "[2026-06-24T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-24T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false negative or missed detection by the master bedroom motion sensor if activity occurred but was not logged.",
      "supported_by": [
        "[2026-06-24T22:42:23] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "Room activity count for master_bedroom (14) vs living_room (20)"
      ],
      "contradicted_by": [
        "Explicit occupancy logs showing '0' at 00:00 and 00:30 suggest no movement detected."
      ]
    }
  ],
  "most_concerning_signals": [
    "Window covering position data at 22:42:23 showing value 10000 (likely a parsing error or full open state indicator) without corresponding window contact sensor status in the suspicious list, potentially masking a breach if the window was forced.",
    "Discrepancy between the high number of salient events (60) and focus events (91) compared to room activity counts; need to verify if any master_bedroom events were filtered out incorrectly."
  ],
  "what_to_verify_in_raw_log": [
    "Check raw timestamps around 22:42:23 to confirm if the window cover motor event triggered a power cycle that might have reset the adjacent motion sensor.",
    "Verify the 'current_position_lift_percent' value mapping: does 10000 mean 100% open? If so, check if the window


触发间隔不规律（不是周期性的），且频率较低（几分钟一次不是几十秒一次）

The second_bedroom occupancy sensor is functioning correctly, reporting consistent 'Empty' status during a verified period of low activity with no contradictory motion events in the raw logs.

Explanation: Stage-1 analysis identified a potential discrepancy between non-zero room_activity count and zero occupancy readings, suggesting a need to verify the source of activity.

Explanation: Focused raw log review confirms that for the entire observation window (00:00 to 05:35), all entries for 'second_bedroom_occupancy' consistently report 'OccupancySensing.Occupancy = 0'.

Explanation: No timestamped event logs exist in the provided excerpt showing any specific activity (e.g., temperature changes, window contacts, or motion) occurring within the second_bedroom; all recorded events are from kitchen_temp_sensor and living_room devices. The 'room_activity' count likely reflects historical data or metadata not present in this specific log slice, but the live sensor stream shows no anomalies.

Raw log explicitly shows 'second_bedroom_occupancy | OccupancySensing.Occupancy = 0' at every timestamp from 00:00 to 05:30.

Absence of any 'TemperatureMeasurement', 'WindowContact', or other device events originating from 'second_bedroom' in the provided log snippet.

Continue monitoring; no immediate action required as the sensor behavior aligns with expected low-activity conditions.

If user presence is suspected despite sensor reading, perform a physical check of the room to confirm occupancy status.

[2026-06-13T00:30:00] second_bedroom_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 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": 1396,
  "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": [
    "[2026-06-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:30:00] 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": "normal",
      "description": "The second_bedroom occupancy sensor is functioning correctly, reporting consistent 'Empty' status during a period of known low activity.",
      "supported_by": ["suspicious_signals shows repeated Occupancy = 0 for second_bedroom_occupancy at 30-minute intervals from 00:00 to 01:30"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "The second_bedroom occupancy sensor has failed (stuck or dead), falsely reporting 'Empty' when the room might be occupied.",
      "supported_by": ["room_activity count for second_bedroom is 12, which is non-zero and equal to other rooms, suggesting potential human presence or device interaction despite the sensor reading zero"],
      "contradicted_by": ["No direct evidence of motion detected by the sensor if someone were present; all explicit log entries show 0"]
    }
  ],
  "most_concerning_signals": [
    "Discrepancy between non-zero room_activity count (12) for second_bedroom and persistent Occupancy=0 readings in suspicious_signals."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamped event logs around the times when room_activity recorded events in second_bedroom to see if they originated from the occupancy_sensor or other devices (e.g., temperature, window_contact).",
    "Check if there are any 'heartbeat' or 'calibration' messages from the second_bedroom_occupancy sensor indicating it went offline or reset.",
    "Verify if the user manually triggered an event in the second bedroom that would increment the activity counter without triggering motion detection."
  ],
  "provisional_risk": "low"
}

## Focused Raw Log
[2026-06-13T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.Mea


DF-06-FP: 窗帘正常移动但速度慢

The second_bedroom occupancy sensor is malfunctioning by reporting 'Vacant' during a period of significant room activity (17 events), likely due to a logic filter or sensor failure.

Explanation: Analysis of the focused raw log shows no motion detection events for the second_bedroom between 00:00 and 04:30, but the hypothesis analysis explicitly notes this room had 17 recorded events, indicating human presence was not detected.

Explanation: The occupancy sensor consistently reported 'Vacant' (0) across multiple timestamps (00:00, 00:30, 01:00, etc.) while other rooms also showed 0, making it indistinguishable from a normal empty house based on logs alone; however, the high event count in Stage-1 contradicts the sensor's 'Vacant' state.

Explanation: The inconsistency between the system's internal record of activity (17 events) and the sensor's continuous 'Vacant' output suggests the sensor failed to trigger or transmit motion data despite presence.

"room_activity": { "second_bedroom": 17 }

Inspect the physical installation of the second_bedroom occupancy sensor for obstructions or misalignment.

Check the sensor's power supply and battery levels if applicable.

Review the sensor's configuration settings to ensure the sensitivity threshold is appropriate for the room size and lighting conditions.

[2026-06-27T14:05:30] second_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-27T14:05:30] second_bedroom_window | WindowCovering.OperationalStatus = 0b000000

[2026-06-27T22:52:30] front_door_lock | DoorLock.LockState = 1

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The second_bedroom window covering (curtain) sensor exhibits a data inconsistency where the operational status indicates 'Open' (bit 1 set in 0b000010) while the position percentage reads 55%.",
      "supported_by": [
        "[2026-06-27T14:05:01] second_bedroom_window | WindowCovering.OperationalStatus = 0b000010",
        "[2026-06-27T14:05:10] second_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 5500"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "The second_bedroom occupancy sensor reports 'Vacant' (0) at midnight and 30 minutes later, despite being one of the rooms with significant activity (17 events) compared to other low-traffic areas like the bathroom or master bedroom.",
      "supported_by": [
        "[2026-06-27T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-27T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "\"room_activity\": { \"second_bedroom\": 17 }"
      ],
      "contradicted_by": [
        "High event count relative to typical empty room baselines suggests potential human presence not detected."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-27T14:05:01] second_bedroom_window | WindowCovering.OperationalStatus = 0b000010",
    "[2026-06-27T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw GPIO/IR signal logs for the second_bedroom occupancy sensor between 00:00 and 00:30 to see if motion was triggered but filtered out by logic.",
    "Inspect the specific bit definitions for WindowCovering.OperationalStatus to confirm if bit 1 strictly means 'Open' or if it indicates 'Moving' or 'Error', and cross-reference with motor current draw logs.",
    "Verify timestamps and sequence of events for the second_bedroom window to determine if the status change at 14:05:01 preceded the position change at 14:05:10 (lag error) or if they are simultaneous readings from different calibration offsets."
  ],
  "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": 1569,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 11,
    "living_room": 26,
    "master_bedroom": 11,
    "second_bedroom": 17,
    "bathroom": 11,
    "entrance": 13
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-27T22:52:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-27T10:12:18] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-27T14:05:01] second_bedroom_window | WindowCovering.OperationalStatus = 0b000010",
    "[2026-06-27T14:05:10] second_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 5500",
    "[2026-06-27T14:05:20] second_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 7000",
    "[2026-06-27T14:05:30] second_bedroom_window | WindowCovering.

## 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
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The second_bedroom window covering (curtain) sensor exhibits a data inconsistency where the operational status indicates 'Open' (bit 1 set in 0b000010) while the position percentage reads 55%.",
      "supported_by": [
        "[2026-06-27T14:05:01] second_bedroom_window | WindowCovering.OperationalStatus = 0b000010",
        "[2026-06-27T14:05:10] second_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 5500"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "The second_bedroom occupancy sensor reports 'Vacant' (0) at midnight and 30 minutes later, despite being one of the rooms with significant activity (17 events) compared to other low-traffic areas like the bathroom or master bedroom.",
      "supported_by": [
        "[2026-06-27T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-27T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "\"room_activity\": { \"second_bedroom\": 17 }"
      ],
      "contradicted_by": [
        "High event count relative to typical empty room baselines suggests potential human presence not detected."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-27T14:05:01] second_bedroom_window | WindowCovering.OperationalStatus = 0b000010",
    "[2026-06-27T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw GPIO/IR signal logs for the second_bedroom occupancy sensor between 00:00 and 00:30 to see if motion was triggered but filtered out by logic.",
    "Inspect the specific bit definitions for WindowCovering.OperationalStatu


DF-01-FP: 空调恒温控制导致温度稳定

有微小波动（±0.2°C），不是完全固定值；且空调处于开启状态

Living room occupancy sensor is functioning normally; all reported empty states are consistent with the absence of activity logs (lights, door events) in that specific zone during the observed period.

Explanation: The living_room_occupancy sensor consistently reports '0' (empty) at regular intervals throughout the night and early morning hours.

Explanation: There are no contradictory events such as lights turning on, doors opening/closing, or temperature spikes specifically linked to human presence in the living room during these times.

Explanation: Activity in other rooms (e.g., master_bedroom light off at 07:44, front door lock/unlock sequences) confirms the system is active and capable of detecting state changes elsewhere, making a global sensor failure unlikely.

Explanation: The later appearance of occupancy in the master bedroom at 15:58 demonstrates the sensor network correctly detects presence when it occurs.

[2026-06-22T07:44:15] master_bedroom_light | OnOff.OnOff = False

[2026-06-22T15:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Continue routine monitoring.
No immediate action required.

[2026-06-22T07:44:23] front_door_lock | DoorLock.LockState = 2

[2026-06-22T07:44:34] front_door_lock | DoorLock.LockState = 1

[2026-06-22T15:59:00] 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": 1839,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 11,
    "living_room": 20,
    "master_bedroom": 15,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 25
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:44:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:44:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T15:59:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T17:56:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T22:11:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T07:44:23] 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 normally, reporting consistent 'empty' states during the observed period.",
      "supported_by": [
        "[2026-06-22T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-22T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive or sensor malfunction where the sensor reports no occupancy despite potential ambient activity or environmental changes not captured in the snippet.",
      "supported_by": [],
      "contradicted_by": [
        "No contradictory events (like lights turning on unexpectedly) are present in the provided evidence to confirm a malfunction."
      ]
    }
  ],
  "most_concerning_signals": [],
  "what_to_verify_in_raw_log": [
    "Check for missing heartbeat packets from living_room_occupancy between T00:00 and T00:30 to rule out packet loss.",
    "Cross-reference with living_room_dimmable_light and living_room_onoff_light state logs to see if any illumination occurred without occupancy detection."
  ],
  "provisional_risk": "low"
}

## Focused Raw Log
[2026-06-22T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-06-22T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-22T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-22T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-22T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-22T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-06-22T00:05:00] li


DF-05-FP: 烟雾报警器正常自检

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

The kitchen smoke alarm is functioning correctly; the transient 'Alarm' state (4) observed during a scheduled self-test was immediately resolved to 'Normal' (0) upon test completion, and no environmental conditions (temperature spike, occupancy changes) in the raw logs support an actual fire or gas leak.

Explanation: Stage-1 analysis identified a potential anomaly where ExpressedState=4 occurred simultaneously with TestInProgress=True.

Explanation: Raw log verification confirms the sequence: State 4 appeared at 21:59:00, but SelfTestComplete() event and State 0 appeared exactly at 21:59:30.

Explanation: This rapid transition indicates the alarm entered a temporary diagnostic state during testing and successfully returned to normal, consistent with standard self-test procedures rather than a malfunction or real hazard.

Explanation: Supporting data shows stable temperature readings around 22°C and no cooking activity (no cook_surface logs), ruling out heat/smoke sources.

Explanation: No other devices in the kitchen area reported anomalies during this window.

Acknowledge that the device completed its self-test cycle successfully.

Continue routine monitoring of sensor health metrics.

[2026-06-25T16:02:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-25T17:41:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

Cross-reference with the living_room_temperature_sensor to see if there was an unrecorded temperature spike in the kitchen vicinity.

## 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": 1839,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 15,
    "living_room": 18,
    "master_bedroom": 15,
    "second_bedroom": 9,
    "bathroom": 9,
    "entrance": 25
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T21:59:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = True",
    "[2026-06-25T21:59:00] kitchen_smoke_alarm | SmokeCoAlarm.ExpressedState = 4",
    "[2026-06-25T21:59:30] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = False",
    "[2026-06-25T21:59:30] kitchen_smoke_alarm | SmokeCoAlarm.ExpressedState = 0",
    "[2026-06-25T07:41:33] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T07:41:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T16:02:00] front_door_

## 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 smoke alarm is functioning correctly as it completed a scheduled self-test cycle.",
      "supported_by": ["[2026-06-25T21:59:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = True", "[2026-06-25T21:59:30] kitchen_smoke_alarm | Event: SelfTestComplete()"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive or sensor malfunction indicated by the transition from 'TestInProgress' to 'ExpressedState = 4' (likely Alarm) immediately before the test completion.",
      "supported_by": ["[2026-06-25T21:59:00] kitchen_smoke_alarm | SmokeCoAlarm.ExpressedState = 4", "[2026-06-25T21:59:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = True"],
      "contradicted_by": ["[2026-06-25T21:59:30] kitchen_smoke_alarm | SmokeCoAlarm.ExpressedState = 0", "[2026-06-25T21:59:30] kitchen_smoke_alarm | Event: SelfTestComplete()"]
    }
  ],
  "most_concerning_signals": [
    "kitchen_smoke_alarm reported ExpressedState=4 (Alarm) while TestInProgress was true, suggesting either an actual leak/fire during testing or a glitch where the test routine triggered the alarm state erroneously.",
    "No temperature pattern data provided for kitchen, making it impossible to correlate potential smoke with heat sources."
  ],
  "what_to_verify_in_raw_log": [
    "Check raw voltage/current readings of the kitchen smoke alarm during the 21:59:00 - 21:59:30 window to distinguish between an intentional test pulse and an external trigger event.",
    "Verify if any other kitchen devices (cook_surface, dishwasher) logged activity coinciding with the smoke alarm state change.",
    "Cross-reference with the living_room_temperature_sen


DF-02-FP: 夏季午后持续升温（正常日照效应）

The master bedroom occupancy sensor is malfunctioning by reporting a persistent 'empty' state (0) despite recorded activity counts indicating human presence.

Explanation: Stage-1 analysis identifies a direct contradiction: 12 distinct activity events were recorded in the master bedroom, yet the sensor reported 'Occupancy = 0' across all sampled intervals.

Explanation: The focused raw log confirms this discrepancy by showing continuous zero readings for master_bedroom_occupancy at multiple timestamps (e.g., T00:00, T00:30, T01:00), while other rooms and sensors are functioning normally.

Explanation: Since the system explicitly logs activity counts separate from the raw sensor state, the failure lies within the sensor's ability to detect motion or report its state, rather than an actual absence of occupants.

[2026-06-14T00:00:00] ... room_activity indicates 12 distinct events occurred in master_bedroom

Inspect the physical sensor unit in the master bedroom for battery depletion or connection issues.

Perform a manual calibration test or replace the sensor with a backup unit to verify functionality.

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

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

Check raw messages for master_bedroom_occupancy between T09:49 and T22:53 to see if there were transient spikes or packet loss masked by sampling.

Verify if any other master_bedroom devices (light, AC, curtain) triggered events that might correlate with human presence but were not detected by the motion sensor.

Check battery voltage or connection status logs for the master_bedroom_occupancy device.

## 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: 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": 1578,
  "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": [
    "[2026-06-14T22:53:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-14T09:49:19] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-14T22:53:26] 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 | 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
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Master bedroom occupancy sensor is reporting a persistent 'empty' state (0) across multiple time intervals, despite the room having a recorded activity count of 12 events.",
      "supported_by": [
        "[2026-06-14T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-14T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-14T01:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-14T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": [
        "room_activity indicates 12 distinct events occurred in master_bedroom during this period",
        "The presence of activity implies an occupant or significant movement should have triggered the sensor."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "All other sensors are functioning as expected based on available data (e.g., front door locking/unlocking sequence, window coverings closing).",
      "supported_by": [
        "front_door_lock LockOperation and LockState events show consistent behavior",
        "living_room_window event shows expected state change",
        "Other rooms (kitchen, living_room, etc.) also report 0 occupancy at these specific timestamps which may be valid if empty."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Discrepancy between high event count (12) in master_bedroom and continuous zero-occupancy readings from the occupancy sensor."
  ],
  "what_to_verify_in_raw_log": [
    "Check raw messages for master_bedroom_occupancy between T09:49 and T22:53 to see if there were transient spi


DF-06-FP: 窗帘正常移动但速度慢

Master bedroom sensors are functioning normally; the observed binary state and position progression indicate a successful manual or scheduled curtain opening operation without faults.

Explanation: The OperationalStatus sequence (0b000010 -> 0b000000) combined with monotonic position increase (5500 -> 10000) represents a valid motor start-to-stop cycle.

Explanation: No contradictory events such as rapid reversals, stuck states, or temperature spikes were detected in the surrounding logs.

Explanation: Occupancy and light sensor data show consistent residential patterns with no signs of malfunction or security breaches.

[2026-06-22T07:49:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-22T16:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-22T17:45:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-22T22:46:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-22T06:34:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-22T07:49:29] front_door_lock | DoorLock.LockState = 2

[2026-06-22T07:49:34] front_door_lock | DoorLock.LockState = 1

Check the raw binary payload for OperationalStatus bits at T15:24:01 to confirm if it represents 'Motor Running' vs 'Error Code'.

Verify the time delta between OccupancySensor reports and WindowCovering commands to ensure no phantom triggering occurred.

Cross-reference TemperatureSensor logs during the curtain opening event (15:24) to ensure HVAC wasn't triggered erroneously by a temporary draft.

## 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": 2464,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 6,
    "living_room": 15,
    "dining_room": 7,
    "master_bedroom": 15,
    "second_bedroom": 6,
    "kids_room": 11,
    "master_bathroom": 8,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:49:29] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:49:34] 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 (temperature, motion, window cover) are functioning within expected parameters for a residential pattern.",
      "supported_by": [
        "Room activity count of 15 indicates active sensor reporting consistent with occupancy.",
        "master_bedroom_window shows a logical sequence: OperationalStatus changed to '0b000010' (likely starting motor), position increased smoothly from 5500 to 10000 (fully open), then status returned to '0b000000' (stopped/open).",
        "No temperature anomalies or stuck states reported in the packet."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive or communication glitch in master bedroom window coverage reporting due to timestamp granularity or state interpretation.",
      "supported_by": [
        "OperationalStatus value '0b000010' appears only once before the position update completes, suggesting an intermediate state that might be ambiguous without full bitmask definition."
      ],
      "contradicted_by": [
        "The subsequent position data (5500 -> 7000 -> 10000) is monotonic and physically realistic for opening curtains. The final status '0b000000' implies completion.",
        "No contradictory events (e.g., rapid closing immediately after opening) were observed."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T15:24:01] master_bedroom_window | WindowCovering.OperationalStatus = 0b000010",
    "[2026-06-22T15:24:30] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-22T15:24:30] master_bedroom_window | WindowCovering.OperationalStatus = 0b000000"
  ],
  "wha


DF-01-FP: 空调恒温控制导致温度稳定

有微小波动（±0.2°C），不是完全固定值；且空调处于开启状态

The living room occupancy sensor is functioning correctly, consistently reporting an empty state during the monitored night hours.

Explanation: The raw log shows regular telemetry intervals (every 30 minutes) for the living_room_occupancy sensor from 00:00 to 02:30, with no missing packets or timeout errors.

Explanation: All recorded values for living_room_occupancy are explicitly '0', indicating a consistent and valid detection of an empty room.

Explanation: The simultaneous zero readings across all rooms at midnight is corroborated by the absence of any human activity events (lights, locks, door contacts) until morning, confirming it represents a true empty house state rather than sensor failure.

[2026-06-08T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Continue standard monitoring; no intervention required.

Log this as a verified negative event for audit purposes.

[2026-06-08T07:36:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-08T16:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-08T18:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-08T22:46:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-08T06:48:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-08T07:36:26] front_door_lock | DoorLock.LockState = 2

[2026-06-08T07:36:37] 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 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": 2292,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 16,
    "dining_room": 8,
    "master_bedroom": 12,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 7,
    "entrance": 19
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-08T07:36:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T07:36:37] 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": "normal",
      "description": "Living room occupancy sensor is functioning normally, reporting expected empty state at midnight.",
      "supported_by": ["[2026-06-08T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential sensor failure or data loss in living room; no activity events recorded despite high global event count.",
      "supported_by": [
      "room_activity.living_room (16) vs total salient_event_count (60)",
      "Absence of specific device events (lights, AC, curtains) in the provided 'suspicious_signals' list for living_room"
],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Absence of living_room specific events in suspicious_signals despite 16 reported activities",
    "Simultaneous zero occupancy reports across all rooms at 00:00:00 (potential system-wide reset or time-sync artifact)"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps and payload of the 16 'living_room' activities to determine if they are valid sensor readings or noise",
    "Check for 'null' values or timeout errors associated with living_room_occupancy sensor around the 00:00:00 mark",
    "Verify if other sensors in living_room (lights, AC) sent telemetry during their respective activity windows"
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-08T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-06-08T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-08T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-08T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0


DF-01-FP: 空调恒温控制导致温度稳定

有微小波动（±0.2°C），不是完全固定值；且空调处于开启状态

The sensor reporting zero occupancy at midnight is a synchronized system reset across all devices, not a malfunction.

Explanation: All occupancy sensors (living_room, dining_room, bedrooms, etc.) report exactly 0 at the precise timestamp 00:00:00, indicating a global event rather than isolated hardware failure.

Explanation: At 00:30:00, all sensors simultaneously revert to 0 again, confirming a periodic polling or status refresh cycle at the start of each hour.

Explanation: Later in the log (e.g., 20:46:07), living_room_occupancy correctly detects presence, proving the sensor itself is functional and capable of sensing motion.

Explanation: No lights were turned off based on this reading; the first light event occurs much later at 06:13:07.

[2026-06-03T20:46:07] living_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-03T07:38:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-03T16:33:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-03T18:16:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-03T22:20:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-03T06:13:11] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-03T07:38:24] front_door_lock | DoorLock.LockState = 2

[2026-06-03T07:38:34] 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 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": 2307,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 8,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 12,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 7,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-03T07:38:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-03T07:38:34] 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 (living_room_occupancy) is likely malfunctioning or misconfigured, reporting false negatives at the hourly boundary (00:00:00).",
      "supported_by": ["[2026-06-03T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The reported zero occupancy at 00:00:00 represents a valid system reset event rather than a fault.",
      "supported_by": [],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-03T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw PIR/ultrasonic data stream for living_room_occupancy immediately before and after 00:00:00 to see if motion was detected but not reported.",
    "Verify if other sensors (e.g., kids_room_occupancy, master_bedroom_occupancy) also report exactly 0 at 00:00:00 to determine if this is a global gateway clock sync issue or isolated hardware failure.",
    "Cross-reference with living_room dimmable_light events to see if lights turned off based on the false 'empty' reading."
  ],
  "provisional_risk": "low"
}

## Focused Raw Log
[2026-06-03T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2279
[2026-06-03T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-03T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-03T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-03T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-03T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-0


触发间隔不规律（不是周期性的），且频率较低（几分钟一次不是几十秒一次）

Master bedroom occupancy sensor is functioning correctly; the midnight data points represent a system-wide daily reset/batch update rather than sensor failure or intrusion.

Explanation: The master_bedroom_occupancy sensor reports '0' (empty) at 00:00:00, which aligns perfectly with the identical '0' status reported by all other room sensors (living_room, kitchen, etc.) at the exact same timestamp.

Explanation: This simultaneous state across multiple independent zones indicates a scheduled system event (e.g., nightly batch update or clock sync reset) rather than individual sensor malfunction or physical tampering.

Explanation: Later in the log (20:45:00 and 22:44:11), the master_bedroom_occupancy sensor correctly transitions to '1' (occupied), confirming the device is active and responsive to presence changes.

[2026-06-02T07:34:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-02T16:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-02T18:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-02T22:44:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-02T06:26:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-02T07:34:23] front_door_lock | DoorLock.LockState = 2

[2026-06-02T07:34:28] 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": 2298,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 11,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 9,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-02T07:34:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T07:34:28] 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 expected occupancy states consistent with the timeline of other room activities.",
      "supported_by": ["master_bedroom_occupancy reports 0 at 00:00:00 matching the midnight reset pattern seen in all other rooms", "No suspicious signals indicate master_bedroom_window or master_bedroom_temperature anomalies"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential data synchronization delay or clock skew affecting master_bedroom occupancy sensor readings.",
      "supported_by": ["Occupancy events for all rooms (including master_bedroom) cluster exactly at 00:00:00 on a different date than the surrounding lock/window events (2026-06-02)", "This suggests a timestamp alignment issue rather than physical sensor failure"],
      "contradicted_by": ["The specific value '0' is semantically correct for an empty room; if the sensor were dead, it might report null, constant '1', or random values instead of a clean state"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-02T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-02T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of raw packets from master_bedroom_occupancy compared to system time logs to rule out NTP sync failure",
    "Historical occupancy values for master_bedroom around 22:44:27 (when window closed) to see if the transition to 0 was immediate or delayed",
    "Check if the 00:00:00 entries are a daily batch update or real-time transmission artifacts"
  ],
  "provisional_risk": "low"
}

## Focused R


DF-05-FP: 烟雾报警器正常自检

Kitchen sensors are functioning normally; the smoke alarm completed a scheduled self-test successfully with no detected hazards.

Explanation: The raw log confirms the kitchen smoke alarm entered a test state (TestInProgress=True) at 17:44:00 and exited it (SelfTestComplete) at 17:44:30.

Explanation: The ExpressedState changed from 4 (testing) to 0 (normal/no fault), indicating the hardware passed the diagnostic check.

Explanation: No temperature spikes, occupancy anomalies, or water leak events were recorded for the kitchen area in the provided time window.

Continue routine monitoring of sensor health.

[2026-06-10T17:44:00] kitchen_smoke_alarm | SmokeCoAlarm.ExpressedState = 4

[2026-06-10T17:44:30] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = False

[2026-06-10T07:26:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-10T07:26:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-10T16:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Kitchen sensors are functioning normally; the smoke alarm is performing a scheduled self-test, and no leak or fire events were detected.",
      "supported_by": [
        "[2026-06-10T17:44:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = True",
        "[2026-06-10T17:44:30] kitchen_smoke_alarm | Event: SelfTestComplete()",
        "[2026-06-10T17:44:30] kitchen_smoke_alarm | SmokeCoAlarm.ExpressedState = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive or sensor malfunction regarding the water leak detector due to missing explicit state logs in the salient/focus event list despite high room activity.",
      "supported_by": [
        "Room activity count for 'kitchen' is 11 (moderate), but no specific 'water_leak_detector' status events appear in the provided suspicious_signals array."
      ],
      "contradicted_by": [
        "Absence of any 'ExpressedState' anomalies or trigger events for water_leak_detector in the packet suggests either silence (no leak) or that the log compression omitted negative states for this specific device class in this summary view."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-10T17:44:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = True",
    "[2026-06-10T17:44:30] kitchen_smoke_alarm | Event: SelfTestComplete()"
  ],
  "what_to_verify_in_raw_log": [
    "Search raw logs for 'water_leak_detector' specifically to confirm if it reported a state change or remained silent during the period of 17:44.",
    "Verify the duration and result code of the smoke alarm test (SelfTestComplete) to ensure it passed without hardware faults."
  ],
  "provisional_risk": "low"
}
```

## 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": 2294,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 11,
    "living_room": 15,
    "dining_room": 8,
    "master_bedroom": 12,
    "second_bedroom": 6,
    "kids_room": 10,
    "master_bathroom": 7,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T17:44:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = True",
    "[2026-06-10T17:44:00] kitchen_smoke_alarm | SmokeCoAlarm.ExpressedS

## 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
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Kitchen sensors are functioning normally; the smoke alarm is performing a scheduled self-test, and no leak or fire events were detected.",
      "supported_by": [
        "[2026-06-10T17:44:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = True",
        "[2026-06-10T17:44:30] kitchen_smoke_alarm | Event: SelfTestComplete()",
        "[2026-06-10T17:44:30] kitchen_smoke_alarm | SmokeCoAlarm.ExpressedState = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive or sensor malfunction regarding the water leak detector due to missing explicit state logs in the salient/focus event list despite high room activity.",
      "supported_by": [
        "Room activity count for 'kitchen' is 11 (moderate), but no specific 'water_leak_detector' status events appear in the provided suspicious_signals array."
      ],
      "contradicted_by": [
        "Absence of any 'ExpressedState' anomalies or trigger events for water_leak_detector in the packet suggests either silence (no leak) or that the log compression omitted negative states for this specific device class in this summary view."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-10T17:44:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = True",
    "[2026-06-10T17:44:30] kitchen_smoke_alarm | Event: SelfTestComplete()"
  ],
  "what_to_verify_in_raw_log": [
    "Search raw logs for 'water_leak_detector' specifically to confirm if it reported a state change or remained silent during the period of 17:44.",
    "Verify the duration and result code of the smoke alarm test (SelfTestComplete) to ensure it passed without hardware faults


DF-04-FP: 门锁响应延迟但最终成功锁定

The entrance occupancy sensor is malfunctioning (stuck), reporting a continuous '0' state despite evidence of high activity in the room and a door lock interaction that should have triggered an occupancy event.

Explanation: Raw logs show repeated hourly reports of 'OccupancySensing.Occupancy = 0' for the entrance from 00:00 to 04:00.

Explanation: Stage-1 analysis indicates a discrepancy between this zero reading and a recorded 'room_activity' count of 11 for the same area.

Explanation: A front door lock state change occurred at 06:42; normally, such an event would generate an occupancy transition signal if the sensor were functional, but no such transition is visible in the provided log snippet or suspected by the anomaly hypothesis.

"entrance_occupancy | OccupancySensing.Occupancy = 0" reported consistently across multiple timestamps.

Contradiction between sensor output (empty) and metadata indicating high room activity (count: 11).

Perform a physical inspection of the entrance motion sensor to check for obstruction, misalignment, or power issues.

Replace the battery of the entrance occupancy sensor if it is wireless and battery-operated.

[2026-06-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Entrance occupancy sensor is likely malfunctioning (stuck or failing to detect motion), indicated by a continuous '0' state despite high room activity counts.",
      "supported_by": [
        "\"room_activity\": \"entrance\": 11",
        "\"suspicious_signals\" contains multiple entries of \"[2026-06-27T00:00:00]... entrance_occupancy | OccupancySensing.Occupancy = 0\" and subsequent hourly checks also showing 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "The front door lock interaction at 06:42 may be coincidental or part of a routine, but does not directly contradict the sensor failure hypothesis; however, the lack of occupancy event *during* the lock change suggests the sensor failed to register the entry/exit transition.",
      "supported_by": [
        "\"suspicious_signals\" shows DoorLock.LockState changing from 2 (Unlocked) to 1 (Locked) between 06:42:03 and 06:42:08."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-27T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T00:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "High room_activity count for entrance (11) vs. zero occupancy reports in suspicious_signals timeframe"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of specific motion detection events in 'entrance_occupancy' stream to see if they are completely missing or suppressed.",
    "Raw signal strength (RSSI) or battery voltage of the entrance occupancy sensor around 06:42.",
    "Correlation between 'front_door_lock' unlock events and any transient changes in 'entrance_occupancy'.",
    "Check if other sensors in the same physical zone (e.g., balcony door contact if adjacent) report movement when the front door was accessed."
  ],
  "provisional_risk": "medium"
}
```

"suspicious_signals" contains multiple entries of "[2026-06-27T00:00:00]... entrance_occupancy | OccupancySensing.Occupancy = 0" and subsequent hourly checks also showing 0

"suspicious_signals" shows DoorLock.LockState changing from 2 (Unlocked) to 1 (Locked) between 06:42:03 and 06:42:08.

## 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": 1491,
  "salient_event_count": 60,
  "focus_event_count": 80,
  "room_activity": {
    "kitchen": 9,
    "living_room": 18,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 8,
    "kids_room": 8,
    "master_bathroom": 8,
    "entrance": 11
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-27T06:42:03] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-27T06:42:08] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-27T00:

## 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
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Entrance occupancy sensor is likely malfunctioning (stuck or failing to detect motion), indicated by a continuous '0' state despite high room activity counts.",
      "supported_by": [
        "\"room_activity\": \"entrance\": 11",
        "\"suspicious_signals\" contains multiple entries of \"[2026-06-27T00:00:00]... entrance_occupancy | OccupancySensing.Occupancy = 0\" and subsequent hourly checks also showing 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "The front door lock interaction at 06:42 may be coincidental or part of a routine, but does not directly contradict the sensor failure hypothesis; however, the lack of occupancy event *during* the lock change suggests the sensor failed to register the entry/exit transition.",
      "supported_by": [
        "\"suspicious_signals\" shows DoorLock.LockState changing from 2 (Unlocked) to 1 (Locked) between 06:42:03 and 06:42:08."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-27T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T00:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "High room_activity count for entrance (11) vs. zero occupancy reports in suspicious_signals timeframe"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of specific motion detection events in 'entrance_occupancy' stream to see if they are completely missing or suppressed.",
    "Raw signal strength (RSSI) or battery voltage of the entrance occupancy sensor around 06:42.",
    "Correlation between 'front_door_lock' unlock events and any transient changes in 'entrance_occupancy'.",
    "Che