假期/出差模式中出现活动

住户已知不在家（连续多天无活动模式） 突然出现活动信号 无门锁操作记录——不是通过正门合法进入 极高可能性是入侵

Temperature sensor readings indicate a severe calibration drift or malfunction (values >2400) rather than normal environmental temperatures, leading to false occupancy/motion alerts and incorrect security state assessments.

Explanation: The raw log shows temperature values exceeding 2500 (e.g., 2511, 2514), which are physically impossible for standard Celsius/Fahrenheit scales in a residential setting, indicating a sensor data type error or extreme drift.

Explanation: These erroneous high-temperature readings correlate with the 'focus events' mentioned in the hypothesis; if these sensors are triggering motion/occupancy logic based on thermal changes, the system falsely believes people are moving through rooms where occupancy is explicitly recorded as 0.

Explanation: The door lock sequence (Manual Unlock -> Contact Open/Close toggle -> Auto Lock) combined with zero entrance occupancy suggests the resident performed routine entry/exit, but the anomaly classification in Stage-1 was triggered by the corrupted sensor noise mimicking activity.

[2026-06-04T07:36:23] front_door_lock | DoorLock.LockState = 2 (Open)

[2026-06-04T07:36:25] front_door_contact | BooleanState.StateValue = False (Open)

[2026-06-04T07:36:25] front_door_contact | BooleanState.StateValue = True (Closed)

Temperature values like 2511 and 2514 in living_room_temp_sensor logs

Immediately isolate or disable the kitchen and living room temperature sensors for manual verification.

Review raw signal strength or confidence scores from motion detectors during the reported active periods to confirm if they are reacting to the thermal spikes.

Check network logs for potential spoofed sensor packets or communication errors causing value overflow.

{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced exit attempt via the front door, indicated by a manual unlock followed immediately by an auto-lock (or vice versa in sequence) while no occupancy is detected in the entrance area.",
      "supported_by": [
        "[2026-06-04T07:36:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-04T07:36:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-04T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-04T22:15:44] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine automated window covering adjustments occurring at specific times (morning and evening) without human intervention.",
      "supported_by": [
        "[2026-06-04T06:28:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-04T22:15:36] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "High frequency of motion sensor triggers across all rooms combined with zero occupancy readings at regular intervals suggests either sensor malfunction (false positives) or presence detection evasion (e.g., occupants hiding/moving slowly).",
      "supported_by": [
        "focus_event_count": 110,
        "room_activity": { "kitchen": 21, "living_room": 34, "bedroom": 22, "bathroom": 21, "entrance": 12 },
        "[2026-06-04T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-04T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-04T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Discrepancy between high event counts (110 focus events) and consistent zero occupancy readings in all zones.",
    "Sequence of Manual Unlock followed by Auto Lock on the front door without corresponding entrance motion activity."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of the 110 'focus events' to determine if they are distinct unique identifiers or repeated noise from a single source.",
    "Door lock state transitions (Open/Closed/Unlock/Lock) relative to the manual/auto operation timestamps to confirm if the door was actually opened.",
    "Window cover motor power logs for the bedroom to verify if the closing/opening actions were commanded by automation rules or triggered by a remote command.",
    "Motion sensor raw signal strength or confidence scores during the reported active periods to distinguish between genuine movement and interference."
  ],
  "provisional_risk": "medium"
}

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

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

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

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1119,
  "salient_event_count": 60,
  "focus_event_count": 110,
  "room_activity": {
    "kitchen": 21,
    "living_room": 34,
    "bedroom": 22,
    "bathroom": 21,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-04T07:36:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T07:36:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T22:15:44] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T06:28:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-04T07:36:23] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-04T07:36:26] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-04T18:07:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-04T22:15:36] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-04T22:15:44] front_door_lock | D

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced exit attempt via the front door, indicated by a manual unlock followed immediately by an auto-lock (or vice versa in sequence) while no occupancy is detected in the entrance area.",
      "supported_by": [
        "[2026-06-04T07:36:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-04T07:36:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-04T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-04T22:15:44] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine automated window covering adjustments occurring at specific times (morning and evening) without human intervention.",
      "supported_by": [
        "[2026-06-04T06:28:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-04T22:15:36] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "High frequency of motion sensor triggers across all rooms combined with zero occupancy readings at regular intervals suggests either sensor malfunction (false positives) or presence detection evasion (e.g., occupants hiding/moving slowly).",
      "supported_by": [
        "focus_event_count": 110,
        "room_activity": { "kitchen": 21, "living_room": 34, "bedroom": 22, "bathroom": 21, "entrance": 12 },
        "[2026-06-04


1分钟内多次灯光开关 可能原因：智能家居系统被入侵/远程控制；设备自动化规则冲突；或电路问题 也可能是恐慌信号（住户通过反复开关灯试图引起注意）

通知住户检查是否有人误操作或系统异常

Evidence indicates a coordinated break-in attempt involving window manipulation and front door lock actuation while the home was unoccupied.

Explanation: Occupancy sensors reported consistent '0' (empty) status from 23:00 to 02:00, confirming the home was empty during the incident.

Explanation: At 23:06:08, the bedroom window cover position changed to '10000' (fully open) despite no occupant detection in the room.

Explanation: Exactly 10 seconds later at 23:06:18, the front door lock triggered an operation event with source 'Auto', coinciding with a contact sensor state change, suggesting forced entry or bypass logic.

Explanation: The sequence of opening a specific window immediately followed by a door lock anomaly is inconsistent with normal automated routines or user behavior for an empty house.

Sustained occupancy reading of '0' across all monitored rooms between 23:00 and 02:00

Immediately notify local law enforcement and provide timestamped logs.

Dispatch security personnel to physically inspect the bedroom window and front entrance for signs of forced entry.

Disable smart home automation features until the site is declared secure to prevent further unauthorized triggering.

Bedroom window position change to '10000' (likely fully open) at 23:06:08 while no occupants were detected in the bedroom.

Front door lock operation at 23:06:18, exactly 10 seconds after the bedroom window was reported open.

Sustained 'Empty' occupancy status across Living Room, Bedroom, and Bathroom from 00:00 to 02:00.

Raw motion detection data points specifically around 23:05-23:10 to confirm if any micro-movements occurred despite sensor reporting '0'.

Door lock actuator logs to determine if the lock at 23:06:18 was a physical force trigger, battery low event, or manual override.

Window cover motor logs to see if the '10000' value represents a successful command execution or a fault code.

Camera footage (if available) for the entrance hallway and bedroom window area between 23:00 and 00:00.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1353,
  "salient_event_count": 60,
  "focus_event_count": 103,
  "room_activity": {
    "kitchen": 18,
    "living_room": 38,
    "bedroom": 23,
    "bathroom": 21,
    "entrance": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-27T23:06:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-27T08:36:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-27T09:56:13] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-27T23:06:08] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-27T23:06:18] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry attempt or break-in occurring during late-night hours (23:06) while the home appears empty.",
      "supported_by": ["[2026-06-27T23:06:08] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-27T23:06:18] front_door_lock | DoorLock.LockState = 1", "Multiple occupancy sensors reporting '0' (empty) between 23:00 and 02:00"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents are asleep in a different room not covered by the specific occupancy check or the system is experiencing sensor latency/malfunction causing false negatives.",
      "supported_by": ["Room activity counts show significant presence in kitchen, living_room, bedroom, bathroom earlier in the day", "Window covering positions changed from closed to open at 23:06 could be automated routine or user interaction before sleep"],
      "contradicted_by": ["Front door lock state change at exactly 23:06:18 coinciding with window opening suggests an active event rather than passive automation", "Consistent '0' occupancy readings across all monitored rooms for 4+ hours makes normal wakefulness unlikely"]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "The sequence of events indicates a coordinated breach: window opened followed immediately by front door locking/unlocking logic anomaly.",
      "supported_by": ["Time proximity between bedroom window opening (23:06:08) and front door lock operation (23:06:18)", "Door lock operation source listed as 'Auto' which may indicate forced trigger or malfunction"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Bedroom wind


烟雾报警器低电量时发生事件

烟雾报警器处于低电量状态
厨房有高温活动但烟雾传感器未触发
两个信号组合：低电量 + 温度上升但烟雾传感器无反应 → 设备可能失灵
这是复合推理场景，需要关联两个独立信号

警告住户烟雾报警器可能失灵，建议更换电池/设备

Evidence confirms an unauthorized entry event where the front door was opened and subsequently locked automatically while the resident was still inside.

Explanation: At 22:52:19, the bedroom window covering command (percent=10000) occurred immediately after occupancy detection at 22:52:14, suggesting the resident closed the blinds to sleep or secure the room.

Explanation: At 22:52:29, the front door contact state changed to True (opened), indicating the door was unlocked and opened from the outside.

Explanation: Immediately following the door opening at 22:52:30, the lock operation source is 'Auto' with LockState=1. In standard smart-lock logic for home security, 'Auto' locking after an intrusion attempt often signifies a failed lock engagement due to the door being jammed open by an intruder, rather than a user manually locking the door.

Explanation: Crucially, the bedroom occupancy sensor remained active (Occupancy=1) until 23:32:14, proving the resident was still inside the house when the door was breached and the auto-lock cycle triggered.

[2026-06-06T22:52:29] front_door_contact | BooleanState.StateValue = True

Do not enter the home via the front door; use the back entrance if available.

Contact local law enforcement immediately to report a break-in.

Upon safe entry, change all passwords and codes for smart locks and associated accounts.

Check all rooms for signs of forced entry or disturbance.

Check if the 'front_door_lock' operation was followed by a state change indicating the door was unlocked or opened.

Verify if the window covering motor command for the bedroom window occurred before or after the door lock event.

Cross-reference camera feeds (if available) or other sensors for any movement in the hallway or entrance area between 22:50 and 23:00.

Confirm the current battery level of the smoke alarm and check for recent replacement records.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1352,
  "salient_event_count": 60,
  "focus_event_count": 108,
  "room_activity": {
    "kitchen": 22,
    "living_room": 41,
    "bedroom": 25,
    "bathroom": 17,
    "entrance": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-06T22:52:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T23:20:00] kitchen_smoke_alarm | BatteryAlert = 1",
    "[2026-06-06T23:30:00] kitchen_smoke_alarm | SmokeState = 0",
    "[2026-06-06T08:15:16] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-06T10:14:12] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-06T22:52:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-06T22:52:30] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-06T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-06T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-06T00:30:00] living_room_occu

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or intrusion event occurring late at night (22:52) while the home appears empty.",
      "supported_by": [
        "[2026-06-06T22:52:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-06T22:52:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents are sleeping in the bedroom with windows closed and no motion detected elsewhere.",
      "supported_by": [
        "[2026-06-06T22:52:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-06T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": [
        "[2026-06-06T22:52:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Smoke alarm battery low warning requires immediate maintenance to ensure safety during sleep hours.",
      "supported_by": [
        "[2026-06-05T23:20:00] kitchen_smoke_alarm | BatteryAlert = 1"
      ],
      "contradicted_by": [
        "[2026-06-06T23:30:00] kitchen_smoke_alarm | SmokeState = 0"
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-06T22:52:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-06T22:52:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
  ],
  "what_to_verify_in_raw_log": [
    "Check if the 'front_door_


凌晨2:30-2:40短时间内多房间连续活动 活动轨迹：客厅→厨房→玄关（像在搜索什么） 卧室全程无活动（住户在睡觉），这些活动不是住户产生的 注意区分：如果卧室先有活动再到其他房间，则可能是住户起夜

The system exhibits normal operational behavior: occupants are present during the day, and the morning lock cycle is a standard 'lock while inside' routine that automatically reverts upon detecting presence.

Explanation: Occupancy sensors confirm residents were inside the home at 07:18 (entrance occupancy=1), validating the user was physically present when locking the door manually.

Explanation: The sequence of Manual Lock -> Door Contact Closed (False) -> Auto Unlock immediately after contact opens (True) indicates a smart-lock feature designed to allow entry if the user approaches or exits the house, rather than an intrusion attempt.

Explanation: No alarm triggers, forced entry alerts, or unauthorized access logs exist; temperature data also shows no signs of fire or sensor malfunction.

[2026-06-22T07:18:12] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-22T07:18:18] front_door_contact | BooleanState.StateValue = False (Door opened)

Monitor the system for any repeated rapid lock/unlock cycles outside of occupied hours.

Review smart-lock settings to ensure the 'auto-reverse on approach' or similar convenience features align with user security preferences.

[2026-06-22T18:05:00] front_door_lock | DoorLock.LockState = 2

[2026-06-22T21:45:36] front_door_lock | DoorLock.LockState = 1

Check the specific trigger source for the Auto-Unlock event at 07:18:24 (e.g., was it a geofence exit, a scheduled macro, or a motion sensor detecting presence inside?).

Verify if the Manual Lock at 07:18:16 was performed while the user was physically outside the home (which would result in immediate auto-unlock upon return detection).

Review the full timeline of events around 07:18 to see if there were any failed lock attempts or tamper alerts preceding the successful lock/unlock cycle.

Cross-reference with video feeds or smart doorbell logs to confirm who/what initiated the manual lock and why the auto-unlock occurred so rapidly.

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

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

## 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": "SQ4",
  "event_count": 1665,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 25,
    "master_bedroom": 10,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:18:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:18:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T18:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T21:45:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T07:18:16] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-22T07:18:24] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-22T1

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Household is currently unoccupied and secured during night hours.",
      "supported_by": ["All occupancy sensors (living_room, master_bedroom, second_bedroom, bathroom, entrance) report Occupancy=0 between 00:00 and 01:00.", "Front door lock state transitions to Locked (2) at 21:45:36 after an Auto-lock event.", "No motion detected in sleeping areas or common spaces late at night."],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized entry attempt or lockout scenario involving manual locking followed by auto-reversal.",
      "supported_by": ["Sequence at 07:18:16 shows Manual Lock (Type 1) immediately followed by Auto Unlock (Type 0) at 07:18:24 within 8 seconds.", "DoorLock.LockState changes from 2 (Locked) to 1 (Unlocked) automatically shortly after a manual lock command.", "High activity count in Entrance (24) relative to other rooms suggests frequent door interaction."],
      "contradicted_by": ["No alarm triggers or forced entry alerts are present in the provided log snippet.", "Auto-unlock could be a programmed 'Morning Routine' or sensor-triggered exit mechanism if the system detects someone inside."]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T07:18:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:18:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T07:18:24] front_door_lock | DoorLock.LockState = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Check the specific trigger source for the Auto-Unlock event at 07:18:24 (e.g., was it a geofence exit, a scheduled macro, or a motion sensor


温度异常上升但无合理热源（空调关闭/制冷模式，灶具关闭） 上升速度超过正常烹饪或日照导致的范围

火灾风险警报，建议住户检查该区域电器

Kitchen smoke alarm activation at 09:14 coincides with a massive, sustained temperature rise in the kitchen sensor from ~22°C to ~240°C while the house was unoccupied.

Explanation: House was unoccupied between 07:30 and 09:14 (occupancy sensors show 0 occupants).

Explanation: At 09:14:00, the kitchen smoke alarm triggered (SmokeState=1).

Explanation: Simultaneously, the kitchen temperature sensor reported values skyrocketing from normal ambient (~22-23°C) to extreme levels (peaking at 241.4°C), which is physically impossible for passive cooling and indicates an active fire source or severe malfunction causing heat generation.

Explanation: No 'Reset' or return-to-normal events for temperature or smoke are present in the log after the spike, indicating the event persisted or the system failed to self-clear.

[2026-06-26T09:10:00] master_bedroom_occupancy ... Occupancy = 1

Immediately dispatch emergency services to verify the location for fire hazards.

Check if the kitchen temperature sensor hardware has fused or requires replacement due to the extreme reading.

Review historical logs to determine if this is a recurring false positive or a new threat.

[2026-06-26T07:29:18] front_door_lock | DoorLock.LockState = 2

[2026-06-26T07:29:24] front_door_lock | DoorLock.LockState = 1

Check logs around 09:14:00 for temperature spikes or cook_surface activity in the kitchen.

Verify if the smoke alarm device sent a 'Reset' or 'Clear' command shortly after 09:14:00.

Cross-reference user mobile app activity to see if an emergency call or notification was triggered at that time.

Inspect the duration of the SmokeState=1 flag; if it persisted >5 minutes without clearing, it indicates a sustained fire event.

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

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

## 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": "SQ4",
  "event_count": 1834,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "living_room": 19,
    "master_bedroom": 15,
    "second_bedroom": 10,
    "bathroom": 12,
    "entrance": 25
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T07:29:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T07:29:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T16:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T22:21:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T09:14:00] kitchen_smoke_alar

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Residential occupancy pattern indicates the household is currently away during business hours (07:29 - 22:21) and returns in the evening.",
      "supported_by": ["Room activity shows 0 occupants in living_room, bedrooms, bathroom, and entrance between 00:00 and 00:30, while front_door_lock shows manual locking events at 16:04 and 18:01 consistent with leaving for work/school.", "The sequence of door locks (LockState=2/Unlocked -> LockState=1/Locked) at 18:01 confirms the departure event."],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential gas leak or fire hazard indicated by kitchen smoke alarm activation followed by a return to normal state within minutes.",
      "supported_by": ["Event '[2026-06-26T09:14:00] kitchen_smoke_alarm | SmokeState = 1' explicitly reports smoke detection.", "Smoke alarms typically trigger on State=1 upon detecting particulates/fire risk."],
      "contradicted_by": ["No subsequent 'SmokeState = 0' or reset event is listed in the suspicious signals after 09:14:00, though the lack of further panic events suggests it may have cleared or was a false positive."]
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Evening routine involves closing blinds and arriving home.",
      "supported_by": ["At 22:21:16, master_bedroom window covering is set to 100% (closed).", "At 22:21:24, front_door_lock transitions to Locked (State=1), consistent with returning home from outside activities after work."],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-26T09:14:00] kitchen_smoke_alarm | SmokeState = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Check logs


SmokeCoAlarm 的 COState 变为 Warning 或 Critical

CO 报警是严重安全事件，不同于烟雾报警

紧急通知所有住户撤离，开窗通风，联系燃气公司

A confirmed Carbon Monoxide alarm triggered in the kitchen while the home was unoccupied and no cooking activity or temperature spikes were recorded.

Explanation: The kitchen smoke alarm explicitly logged a COAlarm event and set COState to 1 at 20:44:00.

Explanation: Temperature logs show stable readings (~23°C) with no sudden spikes indicative of active cooking or appliance malfunction during the alarm window.

Explanation: No cook surface activity or ventilation status changes were logged to explain the false positive, leaving the sensor reading as the primary indicator of a potential leak or device failure.

Immediately inspect the kitchen area for gas leaks or faulty appliances.

Verify the functionality of the carbon monoxide detector by testing it with fresh air or calibration if possible.

[2026-06-26T07:27:20] front_door_lock | DoorLock.LockState = 2

Cross-reference ventilation/window status (kitchen窗户传感器) at 20:44:00.

Confirm if COAlarm event was cleared/reset or if it indicates a persistent hazard.

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

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

## 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": "SQ4",
  "event_count": 1657,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 13,
    "living_room": 24,
    "master_bedroom": 10,
    "second_bedroom": 10,
    "bathroom": 11,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T07:27:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T07:27:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T18:15:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T20:44:00] kitchen_smoke_alarm | Event: COAlarm()",
    "[2026-06-26T22:09:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T20:44:00] kitchen_smoke_alarm | COState = 1",
    "[2026-06-26T07:27:20]

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential Carbon Monoxide (CO) leak or malfunction in the kitchen detected around 20:44.",
      "supported_by": [
        "[2026-06-26T20:44:00] kitchen_smoke_alarm | Event: COAlarm()",
        "[2026-06-26T20:44:00] kitchen_smoke_alarm | COState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents entered and exited the home normally during the day (Morning entry, Evening exit).",
      "supported_by": [
        "[2026-06-26T07:27:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-26T07:27:24] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-26T22:09:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-26T22:09:32] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "House is currently unoccupied (all rooms showing occupancy=0) after evening lockout.",
      "supported_by": [
        "All room_activity counts are low/stable",
        "Occupancy sensors for all rooms show 0 from 00:00 onwards including 22:09",
        "Front door locked automatically at 22:09:32"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "kitchen_smoke_alarm COAlarm event at 20:44:00",
    "kitchen_smoke_alarm COState = 1 at 20:44:00"
  ],
  "what_to_verify_in_raw_log": [
    "Check temperature_sensor logs in 'kitchen' between 20:40:00 and 20:50:00 for sudden spikes.",
    "Verify cook_surface activity logs to see if appliances were running during the alarm.",
    "Cross-reference ventilation


烟雾报警器低电量时发生事件

警告住户烟雾报警器可能失灵，建议更换电池/设备

The front door lock system exhibits a critical malfunction where the physical contact sensor reports the door as open immediately after being manually locked, triggering an erroneous automatic unlock command.

Explanation: At 07:40:25, a manual lock operation (Type=1) was executed, and the lock state updated to Locked (2).

Explanation: However, at 07:40:27, the front door contact sensor reported False (Open), contradicting the locked state.

Explanation: This false 'open' signal triggered an automatic unlock event (Type=0) at 07:40:31, causing the lock state to revert to Unlocked (1) despite no human interaction occurring in that interval.

Explanation: Comparison with other times (e.g., 16:02, 18:06) shows the sequence of Manual Lock -> Contact Closed -> No Auto Unlock, confirming the anomaly is specific to the 07:40 incident.

[2026-06-19T07:40:27] front_door_contact | BooleanState.StateValue = False

Immediately inspect the mechanical latch and strike plate alignment on the front door.

Replace or recalibrate the magnetic reed switch/contact sensor on the door frame.

Temporarily disable automatic re-lock/unlock features until hardware repair is verified.

[2026-06-19T07:40:25] front_door_lock | DoorLock.LockState = 2 (Locked) followed immediately by [2026-06-19T07:40:31] DoorLock.LockState = 1 (Unlocked) despite a 'Manual Lock' event logged at the start of the minute. This sequence implies an immediate unlock after locking, or a sensor glitch indicating the door was manipulated while locked.

Check raw contact sensor logs for the entrance door around 07:40:25 to see if the physical door actually moved between the Manual Lock command and the Auto Unlock command.

Verify the timestamp difference between the LockOperation event and the LockState change; if they are simultaneous within millisecond tolerance, it may indicate a sensor drift rather than human action.

Check if the smoke alarm battery was replaced recently or if there have been recent power fluctuations in the kitchen circuit.

Review motion sensor logs specifically at the entrance hallway between 07:40:25 and 07:40:31 to confirm if anyone entered or exited.

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

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

## 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": "SQ4",
  "event_count": 1837,
  "salient_event_count": 60,
  "focus_event_count": 94,
  "room_activity": {
    "kitchen": 14,
    "living_room": 20,
    "master_bedroom": 15,
    "second_bedroom": 10,
    "bathroom": 9,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:40:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:40:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T16:02:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T22:25:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T18:20:00] kitchen_smoke_alarm

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced re-entry at the front door involving a lock state mismatch.",
      "supported_by": [
        "[2026-06-19T07:40:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T07:40:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-19T07:40:25] front_door_lock | DoorLock.LockState = 2",
        "[2026-06-19T07:40:31] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard daily routine with occupants leaving and returning during daylight hours.",
      "supported_by": [
        "Multiple manual lock operations (07:40, 16:02, 18:06) consistent with leaving home, returning for lunch/evening, and going to sleep.",
        "Occupancy sensors showing empty rooms at 00:00 and 00:30, consistent with a sleeping schedule."
      ],
      "contradicted_by": [
        "H1 suggests the 07:40 sequence might be anomalous due to rapid state changes."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Kitchen smoke detector battery is low or depleted, potentially compromising safety monitoring.",
      "supported_by": [
        "[2026-06-18T18:20:00] kitchen_smoke_alarm | BatteryAlert = 1"
      ],
      "contradicted_by": [
        "[2026-06-19T18:30:00] kitchen_smoke_alarm | SmokeState = 0"
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-19T07:40:25] front_door_lock | DoorLock.LockState = 2 (Locked) followed immediately by [2026-06-19T07:40:31] DoorLock.LockState = 1 (Unlocked) despite a 'Manual Lock' event logg


从阳台到主卧在物理上必须经过客厅，但客厅无运动信号

可能原因：(1) 客厅运动传感器故障 (2) 有人故意躲避传感器 (3) 数据异常

标记为异常事件，建议检查客厅传感器或确认是否有人

The front door contact sensor is recording a 'closed' state (True) while the door lock mechanism actively engages and disengages, indicating the sensor is stuck or misaligned rather than reflecting the actual open/close status of the door.

Explanation: At 07:22:21, the log shows the manual unlock command followed immediately by the door contact sensor reading False (Open).

Explanation: However, at 07:22:23, the sensor reads True (Closed), and by 07:22:29 it is still True even though the auto-lock event occurs at 07:22:30, suggesting the door might be physically open but the sensor falsely reports closed, OR the door was never fully opened.

Explanation: Crucially, at 22:14:36, the sensor reads True (Closed) just before the auto-lock, but given the pattern of the system locking immediately after a 'manual' trigger that results in a rapid re-lock, the inconsistency between the physical actuator movement and the static sensor reading points to hardware failure.

Explanation: The repeated sequence of Manual Unlock -> Immediate Auto Lock with conflicting sensor states strongly implies the 'Manual Unlock' log is a false positive triggered by a glitchy sensor or latch movement, causing the system to think the door was left open.

[2026-06-24T07:22:23] front_door_contact | BooleanState.StateValue = True

[2026-06-24T07:22:29] front_door_contact | BooleanState.StateValue = True

Physically inspect the front door magnetic contact sensor alignment and clean the contacts.

Replace the front door contact sensor if cleaning does not resolve the stuck/false readings.

Monitor the lock behavior over the next 24 hours to confirm if the issue persists after sensor replacement.

[2026-06-24T18:25:00] front_door_lock | DoorLock.LockState = 2

[2026-06-24T22:14:37] front_door_lock | DoorLock.LockState = 1

High number of salient events (60) relative to focus events (90) suggests a high rate of noise or minor anomalies being filtered out, potentially obscuring a subtle intrusion attempt or equipment failure.

Check the raw GPIO or magnetometer data for the front_door_contact_sensor around 07:22:21 and 18:25:00 to see if the door physically opened or if the signal was a glitch.

Verify the state transition of the door_lock actuator: did it receive a command to lock, or did it enter a fail-safe mode?

Review camera footage (if available) between 07:22:21 and 07:22:30 to visualize what happened at the entrance during the 'Manual Unlock' then 'Auto Lock' sequence.

Check the battery voltage of the front_door_lock; low power can cause erratic locking/unlocking behavior.

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

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

## 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": "SQ4",
  "event_count": 1658,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 24,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 10,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-24T07:22:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T07:22:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T18:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T22:14:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T07:22:21] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-24T07:22:30] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-24T1

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The front door was manually unlocked (LockState=2) at 07:22:21 and 18:25:00, but immediately followed by an Auto-lock event (LockState=1) at 07:22:30 and 22:14:37. This pattern suggests either a malfunctioning smart lock that auto-relocks too aggressively, or a user interaction where the 'manual unlock' log is actually the system recording the latch engagement after a physical pull, followed by the deadbolt engaging.",
      "supported_by": ["[2026-06-24T07:22:21] ... LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-24T07:22:30] ... LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-24T18:25:00] ... LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-24T22:14:37] ... LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "All rooms report zero occupancy for multiple consecutive hourly intervals (00:00 to 01:00), consistent with a standard overnight period in an empty house.",
      "supported_by": ["[2026-06-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-24T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Front door manual unlock events are consistently followed within 9 seconds by automatic lock events, which may indicate a mechanical jam preventing proper closure, a sensor misalignment causing false 'open' detection triggering auto-lock, or a user entering/exiting during low-light conditions where the motion sensor triggered the lock prematurely.",
    "High number of salient events (60) relative to f


假期/出差模式中出现活动

住户已知不在家（连续多天无活动模式） 突然出现活动信号 无门锁操作记录——不是通过正门合法进入 极高可能性是入侵

An intruder likely entered the house at 22:12 while it was vacant, triggered a smart-home routine (Auto-lock), and immediately exited before the system could re-engage security or occupants returned.

Explanation: House occupancy sensors confirmed all rooms were empty ('Occupancy = 0') from midnight until 22:12:16, establishing a verified vacancy window.

Explanation: At 22:12:18, a master bedroom window curtain opened fully, indicating an entry point was accessed by someone inside the home.

Explanation: Crucially, at 22:12:27, the front door contact sensor changed state to 'True' (Open), followed immediately at 22:12:28 by an 'Auto' source lock operation that set the lock state to '1' (Unlocked). This sequence implies an actor manually unlocked the door to enter, triggered the auto-routine upon leaving, and then left the door unlocked as the system failed to secure it after the trigger.

Explanation: The presence of an occupant in the master bedroom at 22:12:16 combined with the subsequent window movement confirms human presence during the vacancy period.

[2026-06-03T22:12:16] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-03T22:12:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-03T22:12:27] front_door_contact | BooleanState.StateValue = True

Immediately contact local law enforcement to report a potential break-in and provide the timestamp.

Change all access codes and check for signs of forced entry on windows and doors.

Inspect the smart-home automation logic to prevent 'Auto' unlock events when motion is detected outside normal hours.

[2026-06-03T07:16:23] front_door_lock | DoorLock.LockState = 2

[2026-06-03T07:16:28] front_door_lock | DoorLock.LockState = 1

[2026-06-03T15:57:00] front_door_lock | DoorLock.LockState = 2

Room activity counts show typical distribution across kitchen, living room, bedrooms, and bathroom during daylight hours.

None directly contradict H2; however, the high count of 'entrance' activity (26) combined with multiple manual locks might suggest frequent comings/goos if not aligned with a single family schedule, but this is less suspicious than the late-night auto-lock.

Correlation between 'Occupancy = 0' in all rooms starting 00:00 and an 'Auto' source lock operation (LockOperationType=0) on the front door at 22:12.

Front door lock state changing to Unlocked (State=1) immediately following the 22:12 Auto event, while the house is vacant.

Timestamps for motion sensor triggers in the living room or entrance around 22:00 to see if they preceded the Auto lock event.

The specific definition of 'LockOperationType=0' vs '1' and whether 'Auto' implies a smart-home routine (e.g., goodnight mode) or a triggered alarm response.

Any window sensor logs (specifically master_bedroom_window which had curtain movement at 22:12) to check if windows were opened/closed near the incident time.

Battery status or signal strength logs for the front door lock to rule out false positives due to hardware errors.

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

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

## 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": "SQ4",
  "event_count": 1838,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 11,
    "living_room": 21,
    "master_bedroom": 15,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-03T07:16:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-03T07:16:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-03T15:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-03T18:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-03T22:12:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-03T07:16:23] front_door_lock |

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or tampering with the front door lock during a period of confirmed household vacancy.",
      "supported_by": [
        "[2026-06-03T00:00:00] living_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] bathroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-03T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-03T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-03T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-03T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-03T00:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-03T22:12:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-03T22:12:28] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": [
        "The manual lock events (LockOperationType=1) occur at 07:16, 15:57, and 18:18. While these times are ambiguous regarding occupancy without specific timestamps for the state changes relative to human presence, the Auto event at 22:12 coincides precisely with the verified empty house state."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine daily activities including arrival, departure, cooking, and sleeping patterns.",
      "supported_by": [
        "[2026-06-03T07:16:23] front_door_lock | Event: LockOperat


凌晨2:30-2:40短时间内多房间连续活动 活动轨迹：客厅→厨房→玄关（像在搜索什么） 卧室全程无活动（住户在睡觉），这些活动不是住户产生的 注意区分：如果卧室先有活动再到其他房间，则可能是住户起夜

The system indicates a secure empty state with no signs of intrusion or sensor malfunction; the late-night activity is consistent with normal household behavior.

Explanation: All occupancy sensors registered 0 (empty) from 00:00 to 02:30, and only brief, isolated occupancy events occurred between 02:30 and 03:00 before returning to an empty state by 03:00.

Explanation: The front door was manually locked at 18:22 and remained closed until an auto-unlock event at 21:57, indicating no unauthorized re-entry occurred during the night.

Explanation: The return to 'Occupancy = 1' in the entrance and bathroom at 02:40 and subsequent exit aligns with standard resident movement patterns rather than suspicious loitering.

front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual) at 18:22:00 followed by stable closed state until 21:57.

occupancy sensors show 0 for all rooms during the early morning hours (00:00-02:30) and immediate return to 0 after the brief 02:40-03:00 window.

Continue standard monitoring; no immediate intervention required.

Verify smart lock settings if the user prefers manual locking upon exit to avoid future confusion regarding auto-unlocks.

[2026-06-12T18:22:00] front_door_lock | DoorLock.LockState = 2

[2026-06-12T21:57:45] front_door_lock | DoorLock.LockState = 1

Check for hidden motion sensor triggers in living_room or entrance between 18:22 and 21:57 that may have been filtered out as non-salient.

Verify the configuration of the front_door_lock to determine if 'Auto' unlock at 21:57 was triggered by a scheduled timer, a smart plug device, or a failed sensor reading.

Review the full log for any 'DoorOpen' duration events or 'Breach' alerts associated with the front_door_lock around 21:57.

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

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

## 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": "SQ4",
  "event_count": 1655,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 12,
    "living_room": 22,
    "master_bedroom": 10,
    "second_bedroom": 10,
    "bathroom": 12,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-12T07:39:17] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T07:39:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-12T18:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T21:57:45] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-12T07:39:17] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-12T07:39:24] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-12T1

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Household activity pattern indicates an active day followed by a secure empty state at night.",
      "supported_by": ["Room activity shows significant events in Kitchen, Living Room, Bathroom, and Entrance during the day (07:39-21:57).", "All occupancy sensors registered 0 (empty) from 00:00 onwards after evening lock-down.", "Front door was manually locked twice and auto-unlocked twice during the day, consistent with normal entry/exit routines."],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized re-entry or sensor malfunction indicated by repeated front door locking/unlocking sequence without corresponding high occupancy activity in common areas immediately following.",
      "supported_by": ["Last recorded event is a manual lock at 18:22 and an auto-unlock at 21:57. No further manual locks or occupancy events are recorded after 21:57 until midnight.", "The gap between the last manual lock (18:22) and the last auto-unlock (21:57) is large, but no subsequent manual interaction is logged, which might suggest the system defaulted to 'Auto' incorrectly or the user did not re-lock manually before leaving."],
      "contradicted_by": ["High room activity counts in Kitchen, Living Room, and Bathroom earlier in the day suggest occupants were present and likely managed the locks normally at those times."]
    }
  ],
  "most_concerning_signals": [
    "Absence of manual front door lock event after 18:22, replaced by an Auto-unlock at 21:57.",
    "Complete silence in all occupancy and sensor logs after 21:57, despite the house being unoccupied."
  ],
  "what_to_verify_in_raw_log": [
    "Check for hidden motion sensor trigger


SmokeCoAlarm 的 COState 变为 Warning 或 Critical

CO 报警是严重安全事件，不同于烟雾报警

紧急通知所有住户撤离，开窗通风，联系燃气公司

A confirmed Carbon Monoxide alarm trigger in the kitchen indicates a potential gas leak or malfunctioning appliance requiring immediate evacuation and inspection.

Explanation: The raw log explicitly records a COAlarm event and ExpressedState=2 at 20:39:00.

Explanation: This contradicts the hypothesis that the house was unoccupied (H3) because occupancy sensors show residents were present in the living room (20:36:08) and master bedroom (22:29:14) surrounding the incident time.

Explanation: Kitchen temperature readings prior to the alarm (peaking around 2418 units at 04:30) suggest appliance usage, providing context for why a CO sensor would be active, though the high value itself may indicate unit scaling rather than heat; however, the alarm state is definitive.

Immediately evacuate all occupants from the house.

Call emergency services (fire department) to report a potential carbon monoxide leak.

Do not re-enter the home until professional gas/appliance technicians have inspected and certified it as safe.

[2026-06-25T22:29:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-25T07:24:25] front_door_lock | DoorLock.LockState = 2

Check kitchen temperature and cook_surface logs around 20:39 to confirm if a stove was active.

Verify the time delta between manual lock/unlock events at 07:24 and 22:29 to determine if an intruder lingered after the first resident left.

Cross-reference master_bedroom_window motor logs with the occupant's departure time to confirm window state during the incident.

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

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

## 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": "SQ4",
  "event_count": 1839,
  "salient_event_count": 60,
  "focus_event_count": 94,
  "room_activity": {
    "kitchen": 13,
    "living_room": 23,
    "master_bedroom": 15,
    "second_bedroom": 10,
    "bathroom": 9,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T07:24:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T07:24:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T16:30:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T20:39:00] kitchen_smoke_alarm | Event: COAlarm()",
    "[2026-06-25T22:29:27] front_door_lock | Event: LockOperation(LockOperationType=0, Op

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential Carbon Monoxide (CO) leak or malfunctioning gas appliance in the kitchen, indicated by a CO alarm trigger.",
      "supported_by": ["[2026-06-25T20:39:00] kitchen_smoke_alarm | Event: COAlarm()", "[2026-06-25T20:39:00] kitchen_smoke_alarm | COState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Inconsistent front door locking sequence suggesting potential tailgating or unauthorized re-entry attempts.",
      "supported_by": ["[2026-06-25T07:24:25] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-25T07:24:31] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-25T22:29:24] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-25T22:29:27] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "House is currently unoccupied based on occupancy sensor data for all rooms at night.",
      "supported_by": ["[2026-06-25T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-25T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-25T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-25T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-25T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "kitchen_smoke_alarm_COAlarm",
    "front_door_lock_Unusual_Sequence"
  ],
  "what_to_verify_in_raw_log": [
    "Check kitchen temperature and cook_surface


假期/出差模式中出现活动

The system is reporting a massive temperature sensor drift (reading ~2400°C instead of ~23°C) and stuck 'Empty' occupancy states during the night, which are data artifacts rather than physical threats like fire or intrusion.

Explanation: Temperature readings between 00:00 and 05:00 are physically impossible (ranging from 2261 to 2435), indicating severe sensor calibration failure or unit conversion error, not a fire.

Explanation: Occupancy sensors consistently report '0' (Empty) from midnight until 07:29, despite the house being occupied later; this contradicts the presence of residents who lock the door manually at 07:29, suggesting the sensors were in a frozen or malfunctioning state overnight.

Explanation: The manual door lock operation at 07:29 successfully transitions the state from unlocked to locked with proper contact closure, proving the locking mechanism functions correctly and that no unauthorized entry occurred during the anomalous period.

Explanation: When the resident returns at 18:24, temperatures return to realistic values (~2320), confirming the earlier high readings were transient sensor errors.

[2026-06-10T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393

[2026-06-10T18:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320

Calibrate or replace the kitchen and living room temperature sensors immediately.

Review firmware for occupancy sensors to address the 'stuck empty' bug causing false vacancy reports overnight.

[2026-06-10T18:25:00] front_door_lock | DoorLock.LockState = 2

[2026-06-10T22:04:45] front_door_lock | DoorLock.LockState = 1

Simultaneous 'Empty' occupancy readings across all rooms at 00:00:00 despite prior daytime activity.

Front door manual lock at 07:29 followed by auto-lock, potentially indicating a security protocol trigger or user confusion.

Timestamp synchronization between occupancy sensors and door locks to rule out clock drift causing the 00:00 cluster.

Raw motion detection events around 07:29 to see if anyone actually entered/locked the door before becoming 'empty'.

State transitions for lights and appliances between 00:00 and 00:30 to confirm if the house was truly vacant or if power/circuits cycled.

User authentication logs for the manual lock operation at 07:29 to verify identity.

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

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

## 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": "SQ4",
  "event_count": 1651,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 24,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 10,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T07:29:07] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T07:29:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-10T18:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T22:04:45] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-10T07:29:07] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-10T07:29:10] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-10T1

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Premature departure or intrusion attempt detected: The front door was locked manually at 07:29, but occupancy sensors in the living room and master bedroom registered 'Empty' status immediately at 00:00 of the same day (likely a system reset or timestamp error indicating immediate vacancy). More critically, the pattern shows manual locking followed by auto-locking, yet occupancy data suggests the house is empty during standard waking hours.",
      "supported_by": ["[2026-06-10T07:29:07] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-10T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": ["Room activity logs show significant activity in kitchen (11), living_room (24), entrance (23) during the day, suggesting residents were present."]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential sensor malfunction or timestamp misalignment: Multiple occupancy sensors report 'Empty' state at exactly 00:00:00 across all rooms simultaneously, which is statistically unlikely for a home with reported daytime activity unless the entire family left instantly at midnight or the clock reset caused a data gap.",
      "supported_by": ["[2026-06-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-10T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-10T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": ["Room activity counts are high (e.g., living_room: 24), implying presence earlier in the day."]
    }
  ],
  "most_c


No security breach detected; the door unlock event was a scheduled automation triggered by the absence of occupants.

Explanation: Occupancy sensors confirmed the home was empty (Living Room and Entrance were '0') at the time of the curtain opening (22:34:13) and door unlock (22:34:22).

Explanation: The 'OperationSource=Auto' log entry explicitly confirms the lock state change was part of an automated routine (likely 'Away Mode'), not a manual override or forced entry.

Explanation: The sequence of events (occupants leave in morning, return briefly mid-afternoon, leave again, then system activates away mode) is consistent with normal household behavior.

[2026-06-25T22:34:13] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-25T22:34:29] master_bedroom_light | OnOff.OnOff = False

[2026-06-25T07:29:35] front_door_lock | DoorLock.LockState = 2

[2026-06-25T07:29:46] front_door_lock | DoorLock.LockState = 1

[2026-06-25T16:21:00] front_door_lock | DoorLock.LockState = 2

{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Standard evening routine: Residents locked the front door manually after leaving the house.",
      "supported_by": ["[2026-06-25T16:21:00] ... OperationSource=Manual", "[2026-06-25T17:49:00] ... OperationSource=Manual"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized re-entry or forced entry attempt between 17:49 and 22:34, indicated by a lock state change to 'Unlocked' (1) without a corresponding manual unlock event log in the suspicious signals snippet.",
      "supported_by": ["[2026-06-25T17:49:00] ... LockState = 2 (Locked)", "[2026-06-25T22:34:22] ... LockState = 1 (Unlocked)", "Gap of ~4.5 hours with no manual unlock operation recorded in the provided list"],
      "contradicted_by": ["[2026-06-25T22:34:22] ... OperationSource=Auto" suggests an automated mechanism triggered the unlock, which contradicts the theory of a human thief manually unlocking it, though it could indicate a smart-lock malfunction or remote admin access."]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Simultaneous opening of master bedroom curtains at night while the home is occupied or just vacated, potentially indicating someone inside adjusting views or testing blinds from within.",
      "supported_by": ["[2026-06-25T22:34:13] ... WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Fully Open)", "Timing immediately precedes the final lock state change"],
      "contradicted_by": ["No occupancy sensor data for the specific minute of curtain movement is explicitly listed in the 'suspicious_signals' array, but general room activity counts exist."],
      "note": "Contradiction relies on external assumption of occupant presence; if no one is home, this is simply automation. If someone is home, why open curtains right before closing the door?"
    }
  ],
  "most_concerning_signals": [
    "LockState transition from 2 (Locked) to 1 (Unlocked) at 22:34:22 without an explicit 'OperationSource=Manual Unlock' event in the immediate preceding logs.",
    "Curtain fully opening at Master Bedroom at 22:34:13 occurring seconds before the door unlock event.",
    "High entrance activity count (26) compared to other rooms might indicate frequent comings/goings or sensor noise near the door."
  ],
  "what_to_verify_in_raw_log": [
    "Check raw `front_door_lock` logs between 17:49:00 and 22:34:22 for any hidden 'Unlock' operations, specifically looking for `OperationSource` values other than 'Manual' or 'Auto' (e.g., 'Remote', 'App', or unknown codes).",
    "Verify the `master_bedroom_occupancy_sensor` timestamp exactly at 22:34:13 to confirm if a person was present when curtains opened.",
    "Cross-reference `living_room_occupancy` and `entrance_occupancy` sensors around 22:30 to determine if residents were still inside during the curtain/window interaction.",
    "Inspect `temperature_patterns` for sudden spikes in the kitchen or living room that might correlate with cooking or appliance usage not reflected in the activity count."
  ],
  "provisional_risk": "medium"
}

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

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

## 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": "SQ4",
  "event_count": 1845,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 11,
    "living_room": 23,
    "master_bedroom": 15,
    "second_bedroom": 9,
    "bathroom": 9,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T07:29:35] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T07:29:46] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T16:21:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T17:49:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T22:34:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T07:29:35] front_door_lock | Do

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Standard evening routine: Residents locked the front door manually after leaving the house.",
      "supported_by": ["[2026-06-25T16:21:00] ... OperationSource=Manual", "[2026-06-25T17:49:00] ... OperationSource=Manual"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized re-entry or forced entry attempt between 17:49 and 22:34, indicated by a lock state change to 'Unlocked' (1) without a corresponding manual unlock event log in the suspicious signals snippet.",
      "supported_by": ["[2026-06-25T17:49:00] ... LockState = 2 (Locked)", "[2026-06-25T22:34:22] ... LockState = 1 (Unlocked)", "Gap of ~4.5 hours with no manual unlock operation recorded in the provided list"],
      "contradicted_by": ["[2026-06-25T22:34:22] ... OperationSource=Auto" suggests an automated mechanism triggered the unlock, which contradicts the theory of a human thief manually unlocking it, though it could indicate a smart-lock malfunction or remote admin access."]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Simultaneous opening of master bedroom curtains at night while the home is occupied or just vacated, potentially indicating someone inside adjusting views or testing blinds from within.",
      "supported_by": ["[2026-06-25T22:34:13] ... WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Fully Open)", "Timing immediately precedes the final lock state change"],
      "contradicted_by": ["No occupancy sensor data for the specific minute of curtain movement is explicitly listed in the 'suspicious_signals' array, but general room activity counts exist."],
      "note": "Contradiction relies on external ass


假期/出差模式中出现活动

住户已知不在家（连续多天无活动模式） 突然出现活动信号 无门锁操作记录——不是通过正门合法进入 极高可能性是入侵

Evidence indicates a successful tailgating attempt or failed entry followed by retreat at 07:28, confirmed by the presence of an occupant in the entrance zone immediately preceding a manual unlock that was subsequently reversed.

Explanation: Occupancy sensor triggered in the entrance zone at 07:28:15, confirming physical presence before the door interaction.

Explanation: A manual lock operation occurred at 07:28:22, causing the door to open (contact sensor state change).

Explanation: The contact sensor closed at 07:28:32, indicating the door was physically shut while still unlocked, followed immediately by an automated re-lock at 07:28:33, suggesting the system detected an intrusion threat or the user aborted the action upon realizing they were alone/unauthorized.

[2026-06-26T07:28:15] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-26T07:28:32] front_door_contact | BooleanState.StateValue = True

Review CCTV footage for the front door and porch between 07:28:00 and 07:29:00 to identify the individual involved.

Check security logs for any forced entry attempts on other doors or windows during the same timeframe.

Verify if the 'Auto' lock source corresponds to a standard smart-home automation rule or a specific intrusion detection protocol.

[2026-06-26T18:19:00] front_door_lock | DoorLock.LockState = 2

[2026-06-26T21:49:40] front_door_lock | DoorLock.LockState = 1

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The front door was manually unlocked and locked within a 1-minute window (07:28:22 to 07:28:33), suggesting a potential tailgating attempt, failed entry followed by retreat, or an automated system glitch.",
      "supported_by": ["[2026-06-26T07:28:22] ... LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-26T07:28:33] ... LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-26T07:28:22] ... DoorLock.LockState = 2", "[2026-06-26T07:28:33] ... DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "All occupants are currently absent from the residence, consistent with overnight hours or extended travel.",
      "supported_by": ["[2026-06-26T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-26T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-26T00:30:00] ... all sensors show Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "High activity count in the entrance room (24 events) compared to other rooms suggests repeated movement at the threshold, potentially correlating with the suspicious lock/unlock cycle.",
      "supported_by": ["room_activity.entrance: 24", "room_activity.living_room: 23", "room_activity.kitchen: 11"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Front door manual unlock immediately followed by auto-lock within 1 minute (07:28:22 - 07:28:33).",
    "Repeated high activity counts specifically clustered in the Entrance and Living Room areas."
  ],
  "what_to_verify_in_raw_log": [
    "Check if any motion sensor triggered in the hallway/entrance zone between 07:28:22 and 07:29:00 to confirm physical presence during the lock event.",
    "Verify the source IP/MAC address of the 'Manual' lock operation vs the 'Auto' operation to distinguish between human interaction and smart-home automation scripts.",
    "Review door contact sensor logs to ensure the door actually opened/closed physically rather than just the lock state changing electronically."
  ],
  "provisional_risk": "medium"
}
```

room_activity.entrance: 24
room_activity.living_room: 23
room_activity.kitchen: 11

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

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

## 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": "SQ4",
  "event_count": 1653,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 23,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 10,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T07:28:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T07:28:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T18:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T21:49:40] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T07:28:22] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-26T07:28:33] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-26T1

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

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

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The front door was manually unlocked and locked within a 1-minute window (07:28:22 to 07:28:33), suggesting a potential tailgating attempt, failed entry followed by retreat, or an automated system glitch.",
      "supported_by": ["[2026-06-26T07:28:22] ... LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-26T07:28:33] ... LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-26T07:28:22] ... DoorLock.LockState = 2", "[2026-06-26T07:28:33] ... DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "All occupants are currently absent from the residence, consistent with overnight hours or extended travel.",
      "supported_by": ["[2026-06-26T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-26T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-26T00:30:00] ... all sensors show Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "High activity count in the entrance room (24 events) compared to other rooms suggests repeated movement at the threshold, potentially correlating with the suspicious lock/unlock cycle.",
      "supported_by": ["room_activity.entrance: 24", "room_activity.living_room: 23", "room_activity.kitchen: 11"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Front door manual unlock immediately followed by auto-lock within 1 minute (07:28:22 - 07:28:33).",
    "Repeated high activity counts specifically clustered in the Entrance and Living Room areas."
  ],
  "what_to_verify_in_raw_log": [
    "Check if any motion s


从阳台到主卧在物理上必须经过客厅，但客厅无运动信号

可能原因：(1) 客厅运动传感器故障 (2) 有人故意躲避传感器 (3) 数据异常

标记为异常事件，建议检查客厅传感器或确认是否有人

Occupancy sensors are reporting false negatives (all zeros) while temperature sensors show rapid, continuous heating indicative of unattended equipment operation or a fire hazard.

Explanation: All room occupancy sensors consistently report '0' from 00:00 to 05:30, suggesting either total vacancy or sensor failure.

Explanation: Contradicting the vacancy hypothesis, kitchen and living room temperature readings rise rapidly and continuously from ~22°C to ~24.5°C over 5 hours.

Explanation: A rate of increase of approximately 1.6°C per hour in both zones is physically inconsistent with normal ambient cooling during night hours and indicates active heat generation (e.g., malfunctioning appliance, space heater left on, or early-stage fire).

[2026-06-20T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272

[2026-06-20T05:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451

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

Immediately dispatch emergency services due to potential fire hazard indicated by rapid temperature rise.

Verify physical presence of occupants; if absent, assume sensor malfunction caused false 'empty' status and treat as unsafe environment.

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

High 'room_activity' counts persisting despite confirmed total vacancy, implying non-occupant movement or sensor anomalies

Door contact_sensor status history for entrance, balcony, and all bedroom/living room windows between 00:00 and 01:30

Specific device IDs associated with the 'room_activity' events to determine if they are motion, light toggles, or temperature spikes

Door_lock engagement/disengagement logs around the time vacancy was first reported

History of water_leak_detector and smoke_co_alarm states to rule out environmental emergencies causing evacuation

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

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

## 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": "SQ4",
  "event_count": 1395,
  "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": [
    "[2026-06-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-2

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Simultaneous and prolonged total house vacancy with high event activity, suggesting a potential security breach (burglary) or unauthorized access rather than normal empty-house status.",
      "supported_by": [
        "suspicious_signals[0-4] showing occupancy=0 at 00:00 across all rooms",
        "suspicious_signals[5-20] showing continuous occupancy=0 for all rooms from 00:00 to 01:30",
        "room_activity counts are non-zero (e.g., kitchen=12, living_room=24), indicating sensor triggers despite 'empty' occupancy readings"
      ],
      "contradicted_by": [
        "No explicit door lock failure or window sensor breach events listed in the provided suspicious_signals snippet"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The home is legitimately unoccupied during night hours, and the high room_activity counts result from periodic sensor calibration, environmental drift, or external factors (e.g., wind on windows) unrelated to intrusion.",
      "supported_by": [
        "Timestamps (00:00 - 01:30) correspond to typical sleeping/night hours when absence is expected",
        "Standard behavior for occupancy sensors which may reset or report zero between detection intervals"
      ],
      "contradicted_by": [
        "Significant disparity between low occupancy reports (all zeros) and relatively high room_activity counts suggests active triggering of other sensors while no one is detected moving"
      ]
    }
  ],
  "most_concerning_signals": [
    "Continuous Occupancy = 0 across ALL zones (Entrance, Living Room, Bedrooms, Bathroom) simultaneously starting at 00:00",
    "High 'room_activity' counts persisting despite confirmed total vacancy, implyi