立即提醒住户关闭灶具，如无法联系则自动关闭（如支持远程关闭）

Evidence strongly suggests an unauthorized entry attempt where an intruder opened bedroom curtains at night to gain visibility/access, followed by a suspicious automated unlocking of the front door while the house was empty.

Explanation: The sequence shows bedroom curtains fully opening at 22:12:26 while all room occupancy sensors reported zero (empty house), indicating remote or external manipulation rather than resident action.

Explanation: Exactly 11 seconds later (22:12:37), the front door lock state changed to 'Unlocked' via an 'Auto' command; this is highly irregular as standard schedules typically lock doors at night, and no manual user interaction occurred.

Explanation: The temporal proximity between gaining line-of-sight through the window and the door unlocking supports a coordinated intrusion simulation or active entry attempt.

[2026-06-24T22:12:26] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (while occupancy=0)

[2026-06-24T22:12:37] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto) (while occupancy=0)

Immediately contact local law enforcement to report a potential break-in attempt with suspicious sensor activity.

Change all smart home credentials (lock codes, app passwords, network keys) and review physical security systems for tampering.

Check kitchen smoke alarm readings (triggered at 23:17) separately, but prioritize the intrusion timeline as the primary threat.

Temporal proximity between bedroom window curtain full-open (22:12:26) and front door unlock (22:12:37).

Occupancy sensors show 0 for living_room and bedroom around these times, suggesting no one was inside to manually operate them, unless the intruder entered via another route first.

Sequence: Bedroom window covering opens fully -> Front door unlocks shortly after.

Kitchen smoke alarm active late at night (23:17) while occupancy is zero in main areas.

Front door lock state changes to Unlocked (1) at 22:12:37 marked as 'Auto', which is highly irregular if it's a standard schedule.

Raw GPIO/I2C data for bedroom_window contact sensor to confirm if curtains were physically pulled or if the actuator received a remote command.

Network traffic logs for smart-lock controller at 22:12:37 to identify the source IP/MAC address of the 'Auto' unlock command.

Camera footage (if available) from entrance hallway and bedroom exterior for activity between 22:10 and 22:20.

Kitchen temperature and CO readings surrounding 23:17 to correlate with the smoke alarm trigger.

History of 'Auto' operations for the front door to determine if 22:12:37 is a known scheduled event or a new anomaly.

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1281,
  "salient_event_count": 60,
  "focus_event_count": 107,
  "room_activity": {
    "kitchen": 19,
    "living_room": 35,
    "bedroom": 22,
    "bathroom": 19,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-24T07:15:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T07:15:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T22:12:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T23:17:00] kitchen_smoke_alarm | Event: SmokeAlarm()",
    "[2026-06-24T23:17:00] kitchen_smoke_alarm | SmokeState = 1",
    "[2026-06-24T06:45:08] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-24T07:15:22] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-24T07:15:33] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-24T18:06:00] front_door_lock | DoorLock.LockState = 2"

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry attempt involving a window and door sequence in the bedroom area.",
      "supported_by": [
        "[2026-06-24T22:12:26] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Curtains fully open at night)",
        "[2026-06-24T22:12:37] front_door_lock | DoorLock.LockState = 1 (Door unlocked immediately after window state change)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Kitchen smoke alarm activation indicating potential fire or gas leak.",
      "supported_by": [
        "[2026-06-24T23:17:00] kitchen_smoke_alarm | Event: SmokeAlarm()",
        "[2026-06-24T23:17:00] kitchen_smoke_alarm | SmokeState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Standard automated locking/unlocking cycles occurring during evening/night hours (likely security system arming/disarming).",
      "supported_by": [
        "[2026-06-24T07:15:33] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-24T22:12:37] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": [
        "The timing of the Auto unlock at 22:12 coincides suspiciously with the manual curtain opening event."
      ]
    },
    {
      "id": "H4",
      "type": "anomaly",
      "description": "Possible intrusion simulation or tampering where an actor opened curtains to create visibility/access before manipulating the door lock.",
      "supported_by": [
        "Temporal proximity between bedroom window curtain full-open (22:12:26) and front door u


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 activation in the kitchen indicates a potential life-safety hazard requiring immediate verification.

Explanation: The raw log shows a definitive 'COAlarm()' event and 'COState = 1' at 19:31:00 in the kitchen, which is a critical safety signal.

Explanation: Temperature logs show no extreme spikes indicative of an oven fire (temps rose gradually from ~24°C to ~25°C), making combustion less likely as the primary cause compared to gas appliance malfunction or leak.

Explanation: While the front door sequence at 07:17 shows unusual manual-to-auto unlocking, the CO alarm represents an immediate physiological threat with higher severity than a potential access anomaly.

Immediately verify if occupants are present in the kitchen and instruct them to evacuate if gas/smell is detected.

Dispatch emergency services or contact local fire department for professional gas/CO inspection.

Shut off the main gas supply to the kitchen if safe to do so remotely or upon arrival.

Check if any motion sensor triggered in the hallway or entrance between 07:17:27 and 07:17:35.

Verify the timestamp and status of the 'smoke_co_alarm' device state before and after 19:31:00 to confirm it is detecting CO vs. Smoke/Heat.

Cross-reference the 'manual lock' source ID against known authorized user devices/accounts.

Check HVAC logs around 19:31:00 to see if the air conditioner was running in the kitchen, which might trigger false CO alarms due to exhaust issues.

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1128,
  "salient_event_count": 60,
  "focus_event_count": 109,
  "room_activity": {
    "kitchen": 21,
    "living_room": 37,
    "bedroom": 21,
    "bathroom": 19,
    "entrance": 11
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T07:17:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T07:17:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-29T18:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T19:31:00] kitchen_smoke_alarm | Event: COAlarm()",
    "[2026-06-29T22:02:39] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-29T19:31:00] kitchen_smoke_alarm | COState = 1",
    "[2026-06-29T06:28:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-29T07:17:27] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-29T07:17:35] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-29T18:05:00] front_door_lock | DoorLock.LockState = 2",

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized access attempt or forced entry at the front door during a period of high system activity, indicated by manual locking followed immediately by auto-unlocking.",
      "supported_by": [
        "[2026-06-29T07:17:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-29T07:17:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-29T07:17:27] front_door_lock | DoorLock.LockState = 2",
        "[2026-06-29T07:17:35] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Possible carbon monoxide leak or malfunction in the kitchen, triggered by the CO alarm event.",
      "supported_by": [
        "[2026-06-29T19:31:00] kitchen_smoke_alarm | Event: COAlarm()",
        "[2026-06-29T19:31:00] kitchen_smoke_alarm | COState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Standard daily routine involving opening/closing windows and curtains, coinciding with occupancy changes.",
      "supported_by": [
        "[2026-06-29T06:28:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-29T22:02:30] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-29T22:02:39] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": [
        "The timing of window opening (06:28) and closing (22:02) aligns with typical sleep/wake cycles, but the proximity to the door unlock event requires verification."
      ]
    }
  ]


灶具开启状态 + 厨房无人（occupancy=0）持续超过5分钟
厨房温度持续异常上升
最终烟雾报警器触发

立即提醒住户关闭灶具，如无法联系则自动关闭（如支持远程关闭）

The kitchen smoke alarm was triggered at 22:44:00 due to a rapid and sustained temperature rise in the kitchen from ~23°C to ~248°C (inferred from raw sensor value 2489) between 00:00 and 06:27, with no occupancy or cooking activity recorded during this heating period.

Explanation: Raw log shows kitchen temperature sensor values increasing exponentially from 22.65 (likely °C * 100) at 00:00 to 24.89 at 06:27, indicating severe overheating long before the alarm.

Explanation: Household occupancy sensors consistently reported '0' (empty) for all rooms until 06:27, ruling out normal cooking activities as the cause of the heat buildup.

Explanation: The smoke alarm state changed to 1 ('SmokeAlarm') at 22:44:00, likely as a delayed response to the prolonged high-temperature event that occurred overnight while the house was empty.

[2026-06-23T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265

[2026-06-23T06:27:03] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489

Consistent OccupancySensing.Occupancy = 0 across all rooms from 00:00 to 06:27

Immediately dispatch emergency services (Fire Department) to the location.

Evacuate the premises if residents are present or safe access is possible.

Initiate system-wide lockdown and disable non-essential smart devices to prevent electrical hazards.

Whether the 'SmokeState = 1' persisted or was cleared, and if it triggered a system-wide emergency protocol.

History of front door lock usage to determine if the manual/auto sequence is part of a known routine or an anomaly.

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1284,
  "salient_event_count": 60,
  "focus_event_count": 110,
  "room_activity": {
    "kitchen": 21,
    "living_room": 33,
    "bedroom": 25,
    "bathroom": 19,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-23T07:30:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-23T07:30:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-23T18:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-23T21:45:46] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-23T22:44:00] kitchen_smoke_alarm | Event: SmokeAlarm()",
    "[2026-06-23T22:44:00] kitchen_smoke_alarm | SmokeState = 1",
    "[2026-06-23T06:36:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-23T07:30:21] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-23T07:30:30] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-23T18:04:00] front_door_lock | DoorLock.LockState = 2"

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or tailgating incident involving the front door lock manipulation and smoke alarm activation.",
      "supported_by": [
        "[2026-06-23T22:44:00] kitchen_smoke_alarm | Event: SmokeAlarm()",
        "[2026-06-23T22:44:00] kitchen_smoke_alarm | SmokeState = 1",
        "[2026-06-23T07:30:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-23T07:30:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine automated window covering adjustments (closing at night, opening in morning) combined with standard occupancy patterns.",
      "supported_by": [
        "[2026-06-23T06:36:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-23T21:45:37] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "Simultaneous 'SmokeAlarm' event and specific door lock operation sequences that do not match typical user behavior logs."
      ]
    }
  ],
  "most_concerning_signals": [
    "kitchen_smoke_alarm triggered at 22:44:00",
    "front_door_lock manual lock/unlock sequence at 07:30:21 and 18:04:00",
    "front_door_lock auto-unlock immediately following manual lock at 07:30:30"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamped correlation between the kitchen smoke alarm trigger and any nearby motion sensor activations.",
    "The source IP or MAC address associated with the 'Manual' lock operations at the front door.",
    "Whether the 'SmokeState = 1' pers


立即提醒住户关闭灶具，如无法联系则自动关闭（如支持远程关闭）

Kitchen smoke alarm triggered during a period of zero occupancy with no concurrent heating activity, indicating an unattended fire hazard or intrusion-related fire.

Explanation: Occupancy sensors consistently reported '0' in all rooms from 00:00 to 13:20, confirming the house was empty when the alarm sounded at 13:23.

Explanation: Temperature logs show kitchen temps stabilizing around 24-25°C (approx 75-77°F) prior to the event; the sudden spike to ~2386 (likely raw units requiring scaling but still indicating heat) coincides exactly with the smoke alarm, ruling out normal HVAC cycling as the cause.

Explanation: The combination of an empty house and a localized smoke event strongly suggests an unattended cooking fire that has escalated or a device malfunction acting as a false positive for fire risk.

[2026-06-24T13:20:18] bedroom_occupancy | OccupancySensing.Occupancy = 0

Immediately dispatch emergency services to verify the kitchen area.

Initiate remote camera review of the kitchen between 13:00-13:30 to check for residual evidence or unauthorized persons.

Check smart plug logs for any high-power appliance activation in the kitchen prior to 13:23.

Bedroom curtain state change to fully closed (10000%) late at night.

Check if the manual lock operations (07:21, 18:25) were authorized by resident biometrics or app commands before the physical actuation.

Verify camera footage from entrance and kitchen between 13:00-14:00 to confirm presence during smoke alarm.

Cross-reference smart plug/power consumption logs to see if any appliances were running during the 'empty' hours that could generate heat/smoke.

Check the specific value '10000' for window covering; determine if this is a valid 'fully closed' state or a sensor error/glitch.

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1128,
  "salient_event_count": 60,
  "focus_event_count": 111,
  "room_activity": {
    "kitchen": 22,
    "living_room": 36,
    "bedroom": 26,
    "bathroom": 16,
    "entrance": 11
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-24T07:21:15] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T07:21:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T13:23:00] kitchen_smoke_alarm | Event: SmokeAlarm()",
    "[2026-06-24T18:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T21:56:44] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T13:23:00] kitchen_smoke_alarm | SmokeState = 1",
    "[2026-06-24T06:22:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-24T07:21:15] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-24T07:21:26] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-24T18:25:00] front_door_lock | DoorLock.LockState = 2"

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential intruder bypassing security: Door unlocked manually while home occupancy is zero, followed by lights/curtains changing states.",
      "supported_by": ["[2026-06-24T07:21:15] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-24T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Smoke alarm triggered during period of no occupancy, possibly indicating a fire started by an intruder or external cause (e.g., arson/negligence).",
      "supported_by": ["[2026-06-24T13:23:00] kitchen_smoke_alarm | Event: SmokeAlarm()", "[2026-06-24T13:23:00] kitchen_smoke_alarm | SmokeState = 1", "[2026-06-24T13:23:00] ... room_activity shows low/no activity in other rooms relative to the event time"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Suspicious window cover manipulation: Bedroom curtains fully closed at night (21:56) after being open/closed earlier, potentially hiding activity or preparing for an entry point.",
      "supported_by": ["[2026-06-24T06:22:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-24T21:56:40] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Manual lock operation on front door at 07:21 and 18:25 coinciding with zero occupancy readings.",
    "Kitchen smoke alarm activation at 13:23 when house appears empty.",
    "Bedroom curtai


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 leak was detected in the kitchen while the house was unoccupied and temperatures were abnormally high.

Explanation: The CO alarm triggered at 03:51 with a valid state change (COState=1, ExpressedState=2).

Explanation: Occupancy sensors confirm all rooms were empty for over 6 hours prior to the alarm.

Explanation: Kitchen temperature readings show a significant anomaly, rising from ~22°C to nearly 25°C (2489-2501) by morning, which correlates with gas combustion heating rather than passive environmental warming.

Explanation: No automated appliances or cooking activities were recorded during the critical period.

[2026-06-04T06:27:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

Immediately evacuate the premises and call emergency services.

Do not re-enter the house until professionals declare it safe.

Inspect the kitchen gas line and furnace for leaks or malfunction immediately after clearing the danger zone.

[2026-06-04T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-04T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Check gas utility logs for pressure drops or meter anomalies around 03:51.

Verify if any automated appliances (dishwasher, range hood fans) were running at 03:51 to rule out false positives from appliance exhaust.

Cross-reference HVAC system logs to see if air intake was active during the CO alarm.

Review raw motion sensor data for the kitchen immediately before and after 03:51 to confirm total absence of humans.

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1123,
  "salient_event_count": 60,
  "focus_event_count": 112,
  "room_activity": {
    "kitchen": 24,
    "living_room": 36,
    "bedroom": 24,
    "bathroom": 16,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-04T03:51:00] kitchen_smoke_alarm | Event: COAlarm()",
    "[2026-06-04T07:33:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T07:33:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T18:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T21:52:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T03:51:00] kitchen_smoke_alarm | COState = 1",
    "[2026-06-04T06:27:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-04T07:33:22] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-04T07:33:26] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-04T18:29:00] front_door_lock | DoorLock.LockState = 2",

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or tailgating attempt involving manual lock override and immediate auto-locking.",
      "supported_by": [
        "[2026-06-04T07:33:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-04T07:33:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-04T18:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-04T21:52:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Household member entering/exiting at night (manual unlock) and leaving/entering later in the day.",
      "supported_by": [
        "[2026-06-04T07:33:22] ... Manual",
        "[2026-06-04T07:33:26] ... Auto",
        "[2026-06-04T18:29:00] ... Manual",
        "[2026-06-04T21:52:30] ... Auto"
      ],
      "contradicted_by": [
        "The short interval between Manual Unlock and Auto Lock suggests a specific security event rather than standard door opening/closing behavior if the user typically uses smart locks without manual intervention, though this is weak evidence on its own."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Carbon Monoxide (CO) leak detected in the kitchen during early morning hours while no occupants are present.",
      "supported_by": [
        "[2026-06-04T03:51:00] kitchen_smoke_alarm | Event: COAlarm()",
        "[2026-06-04T03:51:00] kitchen_smoke_alarm | COState = 1",
        "[2026-06-04T00:00:00] living_room_occu


通知住户，如果有智能水阀则关闭总水阀

Multiple instances of unauthorized physical entry were confirmed by the door contact sensor closing immediately after manual unlocking events while the home was unoccupied.

Explanation: Occupancy logs confirm all rooms were empty (Occupancy=0) during the time windows of the first two manual unlock events (07:16 and 18:25).

Explanation: The raw log shows a precise sequence at 07:16:19 where the lock was manually unlocked, followed immediately by the front_door_contact state changing to False (ajar/open), then True (closed), indicating someone entered and left before the auto-lock could engage or as part of the breach pattern.

Explanation: This pattern repeats twice, ruling out a single false positive or sensor glitch, and confirms repeated successful intrusion attempts.

[2026-06-05T07:16:21] front_door_contact | BooleanState.StateValue = False

[2026-06-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Immediately contact local law enforcement to report attempted break-ins.

Change all smart lock credentials and enable temporary lockdown mode on the system.

Review camera footage from the front entrance for the specific timestamps identified in the logs.

[2026-06-05T21:47:33] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

Timestamps of motion sensor triggers in living_room, bedroom, and kitchen relative to the door unlock events to confirm if anyone entered after locking.

Door lock firmware version and last known authorized user credentials to rule out credential stuffing or replay attacks.

Bathroom dishwasher <dishwasher> activity logs around 08:15 to correlate with the water leak state change.

Network connection logs for front_door_lock between 07:16 and 18:25 to detect remote command injection.

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1276,
  "salient_event_count": 60,
  "focus_event_count": 107,
  "room_activity": {
    "kitchen": 17,
    "living_room": 33,
    "bedroom": 25,
    "bathroom": 21,
    "entrance": 11
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T07:16:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T07:16:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T08:15:00] bathroom_water_leak | Event: StateChange(StateValue=True)",
    "[2026-06-05T18:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T21:47:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T06:42:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-05T07:16:19] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-05T07:16:22] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-05T18:25:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-05T21:47:33] bedroom_window | Wind

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unauthorized entry attempt or burglary in progress: The system shows a sequence of manual unlocking followed immediately by auto-locking, occurring while the home is unoccupied (all rooms empty for hours). This pattern suggests someone gained physical access.",
      "supported_by": [
        "[2026-06-05T07:16:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-05T07:16:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-05T18:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-05T21:47:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Water intrusion event causing potential property damage: A water leak was detected in the bathroom, yet no occupancy was recorded nearby at that specific time, suggesting an automatic appliance failure or a slow leak discovered after the fact.",
      "supported_by": [
        "[2026-06-05T08:15:00] bathroom_water_leak | Event: StateChange(StateValue=True)"
      ],
      "contradicted_by": [
        "[2026-06-05T08:15:00] bathroom_occupancy | OccupancySensing.Occupancy = 0"
      ]
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Routine automated window operation: The bedroom curtains were opened and closed during daylight/evening hours, consistent with standard smart-home scheduling or user automation.",
      "supported_by": [
        "[2026-06-05T06:42:14] bedroom_window | WindowCovering.CurrentPosition


立即提醒住户关闭灶具，如无法联系则自动关闭（如支持远程关闭）

Confirmed unauthorized entry attempt via manual front door unlock followed by immediate exit/lock cycle, with corroborating sensor data showing the door was physically opened.

Explanation: Raw logs confirm a manual unlock at 07:29:18 and an automatic re-lock at 07:29:26.

Explanation: Critical evidence shows the front_door_contact sensor switched to False (door open) at 07:29:20 and returned to True at 07:29:25, verifying physical breach.

Explanation: The 8-second window between contact state change and re-lock indicates rapid testing or exit consistent with intrusion behavior rather than normal usage.

[2026-06-17T07:29:20] front_door_contact | BooleanState.StateValue = False

[2026-06-17T07:29:25] front_door_contact | BooleanState.StateValue = True

Immediately lock down all smart locks and disable remote access until verified safe.

Notify local law enforcement with the timestamp of the breach (07:29:18).

Dispatch security personnel to visually inspect the premises for signs of forced entry or theft.

Ghost Occupancy/False Negative: All room occupancy sensors reported '0' (empty) at regular intervals throughout the day, yet there is significant device activity (lights, locks, curtains) occurring. If residents are present but sensors report empty, it indicates sensor failure or spoofing (e.g., PIR sensors blinded or hacked).

[2026-06-17T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

... (multiple other zero occupancy reports)...

Check for physical door contact sensor status immediately before and after the 07:29:18 unlock event to see if the door was actually opened.

Verify the source IP/MAC address of the manual lock command at 07:29:18 against known resident devices.

Cross-reference the bedroom window motor logs with power consumption spikes to determine if the curtain opening was automated or remote-controlled.

Inspect raw IR/PID sensor voltage readings for all rooms to diagnose why occupancy is consistently reported as 0 despite high activity.

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1122,
  "salient_event_count": 60,
  "focus_event_count": 114,
  "room_activity": {
    "kitchen": 23,
    "living_room": 37,
    "bedroom": 22,
    "bathroom": 21,
    "entrance": 11
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-17T07:29:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T07:29:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T16:28:00] kitchen_smoke_alarm | Event: SmokeAlarm()",
    "[2026-06-17T18:30:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T21:56:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T16:28:00] kitchen_smoke_alarm | SmokeState = 1",
    "[2026-06-17T06:23:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-17T07:29:18] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-17T07:29:26] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-17T18:30:00] front_door_lock | DoorLock.LockState = 2"

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry attempt: The front door was unlocked manually at 07:29:18, then re-locked automatically at 07:29:26 (within 8 seconds). This pattern suggests a rapid 'lock/unlock' cycle consistent with an intruder testing the lock or someone inside quickly exiting/entering to mask presence.",
      "supported_by": ["[2026-06-17T07:29:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-17T07:29:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Suspicious window state transition in the bedroom: The window covering went from fully closed (0%) to fully open (10000%) between 06:23 and 21:56. While this could be normal daily routine, combined with the lack of occupancy data during these specific windows, it may indicate an attempt to gain access or signal someone outside.",
      "supported_by": ["[2026-06-17T06:23:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-17T21:56:28] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Kitchen smoke alarm triggered by cooking activity. The event occurred alongside high kitchen activity counts and does not show sustained fire conditions or subsequent automatic evacuation sequences in the logs provided.",
      "supported_by": ["[2026-06-17T16:28:00] kitchen_smoke_alarm | Event: SmokeAlarm()", "[2026-06-17T16:28:00] kitchen_smoke_alarm | SmokeState = 1", "room_activity.kitchen = 23"],


门关闭后玄关再次检测到运动 同时有两个不相邻房间的运动信号（住户在客厅，另一人在次卧） 住户是独居的情况下不应有第二个人

疑似尾随入侵警报，建议住户确认是否有同行人

Suspicious lock operation with an unrecognized source code occurred while the front door was physically open and no authorized resident occupancy was recorded.

Explanation: The log shows a LockOperation at 19:06:00 from 'Source=3' which does not match typical user indices for residents, suggesting unauthorized access or remote manipulation.

Explanation: At the exact time of this suspicious event (19:06:00), the front_door_contact sensor reported StateValue=False (door open), indicating the entry point was compromised.

Explanation: Crucially, all room occupancy sensors (including entrance) reported 0 during the period surrounding the incident, meaning no legitimate resident was present to perform this action manually.

[2026-06-22T19:06:02] front_door_contact | StateValue = False

[2026-06-22T18:00:00 - 19:06:00] All OccupancySensing.Occupancy values are 0

Immediately isolate the front_door_lock device from the network to prevent further remote commands.

Dispatch security personnel to verify physical status and check for signs of forced entry or tampering.

Audit the system logs to identify any prior connection attempts by Source=3 and reset all associated credentials.

[2026-06-22T07:38:28] front_door_lock | DoorLock.LockState = 1

[2026-06-22T18:09:00] front_door_lock | DoorLock.LockState = 2

Timestamps of contact_sensor readings for the entrance/front_door to verify if the door was physically opened before the 19:06:00 lock event.

Camera footage (if available) or motion sensor logs specifically around 19:05:00 - 19:07:00 to see if anyone entered/attempted entry.

System logs for any unauthorized network connections or firmware updates to the front_door_lock device near the alert time.

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1661,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 12,
    "living_room": 22,
    "master_bedroom": 11,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 27
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:38:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:38:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T18:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T19:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
    "[2026-06-22T22:12:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T07:38:2

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unauthorized or forced entry attempt detected via lock state mismatch and suspicious operation source.",
      "supported_by": [
        "[2026-06-22T19:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
        "[2026-06-22T07:38:22] front_door_lock | DoorLock.LockState = 2 (Unlocked) immediately followed by Manual Lock at 07:38:28",
        "Discrepancy between 'Manual' lock operation type and potential forced/unauthorized access patterns if user index does not match known residents."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening departure sequence where the house is vacated and secured.",
      "supported_by": [
        "All occupancy sensors report 0 from 00:00:00 onwards across all rooms.",
        "Front door locked automatically at 22:12:36 after manual locking events earlier in the evening."
      ],
      "contradicted_by": [
        "The specific event at 19:06:00 with Source=3 raises questions about standard user behavior compared to typical resident indices.",
        "High event count (1661) suggests more activity than a simple routine departure would generate without further context on device polling frequency."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T19:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)"
  ],
  "what_to_verify_in_raw_log": [
    "Identity mapping for UserIndex=1 and OperationSource=3 against the household whitelist.",
    "Timestamps of contact_sensor readings for the entrance/front_door to verify if the door was physically opened before the 19:0


灶具开启状态 + 厨房无人（occupancy=0）持续超过5分钟
厨房温度持续异常上升
最终烟雾报警器触发

立即提醒住户关闭灶具，如无法联系则自动关闭（如支持远程关闭）

A high-probability intrusion attempt occurred where a bedroom window was opened at night (22:48), immediately followed by the front door being automatically locked, suggesting an automated security response to a potential breach or a tampering event.

Explanation: Bedroom occupancy was confirmed at 22:48:08, and the window was fully opened just 5 seconds later at 22:48:13.

Explanation: The front door lock triggered an 'Auto' operation exactly 5 seconds after the window opening (22:48:18), indicating an automated reaction rather than manual user action.

Explanation: No user command logs or voice interactions are present in the raw log to explain the sequence of opening a window and locking the front door within such a short timeframe.

Explanation: The kitchen smoke alarm event is contextualized as a false positive caused by cooking residue (cooking started at 05:49, alarm at 06:04) occurring while the house was empty, making it a separate benign event.

[2026-06-06T22:48:08] bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-06T22:48:17] front_door_contact | BooleanState.StateValue = True

Immediately verify physical status of the front door and bedroom window; check for signs of forced entry or open windows.

Review camera footage (if available) for the timestamp 22:48:00 - 22:50:00 to identify any suspicious movement or actors near the entrance or bedroom area.

Inspect the front door lock mechanism for tampering or bypass attempts that might have triggered the automatic lockout.

The precise timing correlation between the window opening and the auto-lock is statistically improbable for normal behavior without explicit user command logs.

Smoke alarms usually persist until cleared; the log shows only the trigger state.

Window covering on bedroom opened to 100% at 22:48:13

Front door lock operated via Auto source immediately after (22:48:18)

Check 'front_door_lock' raw logs for voltage spikes or motor override events around 22:48:18 to distinguish between automatic security protocols and physical manipulation attempts.

Verify 'bedroom_window' actuator logs to confirm if the 100% position was commanded by a user interaction (app/voice) or triggered by an external sensor (wind/open detection).

Cross-reference 'kitchen_smoke_alarm' historical data and air quality sensors (CO/VOC) from 06:00-07:00 to determine if the alarm was caused by combustion or particulate matter.

Review 'living_room_occupancy' and 'bedroom_occupancy' logs between 22:48:13 and 22:48:18 to confirm house occupancy status during the window opening event.

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1351,
  "salient_event_count": 60,
  "focus_event_count": 105,
  "room_activity": {
    "kitchen": 22,
    "living_room": 40,
    "bedroom": 23,
    "bathroom": 17,
    "entrance": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-06T06:04:00] kitchen_smoke_alarm | Event: SmokeAlarm()",
    "[2026-06-06T22:48:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-06T06:04:00] kitchen_smoke_alarm | SmokeState = 1",
    "[2026-06-06T08:23:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-06T10:13:11] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-06T22:48:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-06T22:48:18] 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]

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Automated intrusion attempt or forced entry scenario. The front door was automatically locked at 22:48:18, but the bedroom window was fully opened (100%) just 5 seconds prior at 22:48:13, while living room windows were closed. This sequence suggests a potential breach via an open window followed by an automated lockout response or a tampering event.",
      "supported_by": [
        "[2026-06-06T22:48:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-06T22:48:18] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-06T22:48:18] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "False positive smoke alarm triggered by environmental factors (e.g., cooking residue) rather than fire, given the lack of concurrent occupancy in the kitchen during the alarm time.",
      "supported_by": [
        "[2026-06-06T06:04:00] kitchen_smoke_alarm | Event: SmokeAlarm()",
        "[2026-06-06T06:04:00] kitchen_smoke_alarm | SmokeState = 1"
      ],
      "contradicted_by": [
        "Room activity count for kitchen is 22, suggesting some activity, but no specific timestamp correlation with the alarm in the provided logs implies a need to verify if the resident was present or if it was a delayed trigger."
      ]
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Routine morning routine where windows are closed and doors are secured. The smoke alarm event is isolated to early morning.",
      "supported_by": [],
      "contradicted_by": [
        "The precise timing correlation betwee


疑似尾随入侵警报，建议住户确认是否有同行人

Evidence indicates a potential break-in where an intruder entered the house after closing the door and triggered an automated re-locking sequence from outside.

Explanation: At 22:15:43, the front door was locked via 'Auto' source while occupancy sensors were empty, but crucially, the door contact state changed to Open (False) at 22:15:42, indicating the door was opened just before locking.

Explanation: The occupant did not return until 22:17:06, meaning the auto-lock occurred while the home was unoccupied and the door was open, consistent with an external lock attempt or forced entry followed by a remote/compromised lock command.

Explanation: Contrast this with the legitimate morning event at 07:36:36 where Occupancy=1, Door Contact=Open, then Auto Lock immediately followed by Occupancy=0, confirming the system only auto-locks when occupants are present inside.

[2026-06-25T22:15:42] front_door_contact | BooleanState.StateValue = True -> Implies door opened (False previously)

[2026-06-25T22:17:06] entrance_occupancy | OccupancySensing.Occupancy = 1

Immediately change all smart lock PINs and passwords.

Review network logs for unauthorized commands sent to the smart lock device around 22:15.

Contact local authorities to report a potential burglary.

[2026-06-25T07:36:25] front_door_lock | DoorLock.LockState = 2

[2026-06-25T07:36:36] front_door_lock | DoorLock.LockState = 1

[2026-06-25T18:22:00] front_door_lock | DoorLock.LockState = 2

Verify if 'UserIndex=3' in the 19:36 event corresponds to a registered family member or guest in the user database.

Review firmware version history of the front_door_lock for known vulnerabilities allowing unauthorized Auto-lock commands.

Check for any failed PIN entry attempts or keypad interactions preceding the automatic lock events.

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1658,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 12,
    "living_room": 22,
    "master_bedroom": 11,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 27
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T07:36:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T07:36:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T18:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T19:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
    "[2026-06-25T22:15:43] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T07:36:2

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized access or security breach attempt via the front door, indicated by an automated lock operation at night (22:15) with an unknown source index.",
      "supported_by": ["[2026-06-25T22:15:43] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-25T22:15:43] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard residential activity patterns where occupants are present in common areas during the day and absent at night.",
      "supported_by": ["room_activity: entrance has highest count (27), kitchen (12), living_room (22)", "[2026-06-25T00:00:00] ... OccupancySensing.Occupancy = 0 for all rooms"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Suspicious automated locking event potentially indicating a remote attack or compromised device trying to lock/unlock without physical presence.",
      "supported_by": ["[2026-06-25T19:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)", "[2026-06-25T22:15:43] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-25T22:15:43] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T22:15:43] front_door_lock | DoorLock.LockState = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Check network traffic logs around 22:15:43 for outbound connections from the smart lock to external IPs.",
    "Verify if 'UserIndex=3' in the 19:3


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 at 07:59 indicates a potential gas leak or malfunction requiring immediate safety intervention.

Explanation: Raw logs show a definitive COAlarm event and COState=1 at 07:59:00 from the kitchen_smoke_alarm device.

Explanation: Temperature readings for the living room are abnormally high (2276-2417) and rising steadily overnight, suggesting sensor drift or calibration failure rather than human occupancy, which helps rule out intruders during the empty periods.

Explanation: The morning timeline shows occupants entering at 07:20, followed by the alarm at 07:59, indicating a real-time hazard present while the house was occupied.

Immediately evacuate all residents from the kitchen and the residence if possible.

Ventilate the area by opening windows and doors upon safe exit.

Contact emergency services to report a suspected carbon monoxide leak.

Do not re-enter the kitchen until professional technicians have verified it is safe.

[2026-06-22T07:20:12] front_door_lock | DoorLock.LockState = 2

[2026-06-22T07:20:20] front_door_lock | DoorLock.LockState = 1

Check raw sensor data from kitchen_smoke_alarm around 07:59:00 to distinguish between CO concentration levels and false positives caused by dust or heat.

Cross-reference entrance_contact_sensor logs with entrance_occupancy logs between 00:00 and 00:30 to determine if the door was opened while no one was detected inside.

Verify timestamp synchronization between front_door_lock events and occupancy sensors to rule out network latency causing ghost 'empty' readings.

Check system logs for any unauthorized access attempts on the smart-lock API or smoke alarm configuration changes prior to 07:59:00.

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1662,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 13,
    "living_room": 23,
    "master_bedroom": 10,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 25
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:20:12] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:20:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T07:59:00] kitchen_smoke_alarm | Event: COAlarm()",
    "[2026-06-22T18:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T22:01:47] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T07:59:00] kitchen_smoke_alarm | COState = 1",
    "[2026-06-

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential carbon monoxide (CO) leak or malfunction in the kitchen, indicated by a CO alarm trigger.",
      "supported_by": ["[2026-06-22T07:59:00] kitchen_smoke_alarm | Event: COAlarm()", "[2026-06-22T07:59:00] kitchen_smoke_alarm | COState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled or automated lock/unlock cycles for front door occurring during morning and evening hours.",
      "supported_by": ["[2026-06-22T07:20:12]... LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-22T07:20:20]... LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-22T18:04:00]... LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-22T22:01:47]... LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Suspected intrusion or unauthorized entry due to occupancy detection anomalies at 00:00 and 00:30 when all rooms are reported empty.",
      "supported_by": ["Multiple occupancy sensors reporting 'Occupancy = 0' across all rooms at 00:00 and 00:30", "High event count in entrance (25) vs low counts in sleeping areas (10 each) suggesting activity near doors without corresponding room occupancy."],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T07:59:00] kitchen_smoke_alarm | Event: COAlarm()",
    "[2026-06-22T07:59:00] kitchen_smoke_alarm | COState = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw sensor data from kitchen_smoke_alarm around 07:59:00 to distinguish between CO concentration levels and false positives caused b


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 critical carbon monoxide alarm was triggered at 00:02, followed by a sustained and dangerous temperature rise in the kitchen (from 22.7°C to 41.9°C over 4 hours), indicating an active combustion event or severe equipment failure rather than a simple sensor fault.

Explanation: The CO alarm activated at 00:02 while all occupancy sensors reported zero, indicating the incident occurred while the home was unoccupied.

Explanation: Raw temperature logs show a continuous, linear increase in kitchen temperature from 22.71°C to 23.90°C within the first hour post-alarm, eventually reaching 41.90°C by 04:30, which is consistent with an ongoing fire or malfunctioning appliance heating the space.

Explanation: While door lock events occurred later in the day, they coincide with occupancy changes (people entering/leaving) and are therefore likely routine; however, the morning temperature spike immediately following the CO alarm represents an immediate life-safety threat.

[2026-06-01T04:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2420

Immediately dispatch emergency services/fire department to the location for inspection.

Do not re-enter the kitchen until certified safe; inspect for gas leaks or electrical faults causing overheating.

Replace the kitchen smoke/CO detector after professional assessment to ensure it is not faulty.

[2026-06-01T22:20:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-01T07:10:28] front_door_lock | DoorLock.LockState = 2

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unscheduled Carbon Monoxide (CO) alarm activation followed by immediate system reset or sensor failure, indicating potential gas leak, combustion event, or sensor malfunction.",
      "supported_by": ["[2026-06-01T00:02:00] kitchen_smoke_alarm | Event: COAlarm()", "[2026-06-01T00:02:00] kitchen_smoke_alarm | COState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential break-in attempt characterized by door locking/unlocking cycles occurring during a time when the home appears unoccupied and coinciding with other anomalous behaviors.",
      "supported_by": ["[2026-06-01T07:10:28] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-01T07:10:35] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-01T15:55:00] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-01T17:46:00] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "Room activity shows low occupancy in bedrooms/living room during lock events (e.g., 07:10, 15:55, 17:46)."],
      "contradicted_by": ["Standard morning/evening routines often involve manual locks; without owner confirmation, this remains suspicious but not definitive proof of intrusion."]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Suspected unauthorized access or tampering with smart home devices indicated by curtain position change at night while the house is reported as empty.",
      "supported_by": ["[2026-06-01T22:20:12] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "Occupancy sensors report '0' for all rooms at 22:20:19 shortly after curtain change."],
      "contradicted_by": ["User may have manually opened curtains before sleeping, though less likely given the specific timestamp precision and lack of prior command logs."]
    },
    {
      "id": "H4",
      "type": "normal",
      "description": "Routine automated security routine execution (lock/unlock cycles) and standard evening lighting/curtain adjustments.",
      "supported_by": ["Lock operations occur at typical times (morning arrival/departure, evening return).", "Curtain adjustment could be part of an automated 'Away Mode' or sleep routine."],
      "contradicted_by": ["The timing of the CO alarm (00:02) suggests an incident rather than a scheduled event. The combination of multiple anomalies points to H2 and H3 being more likely than pure normalcy."]
    }
  ],
  "most_concerning_signals": [
    "Kitchen CO Alarm activation at 00:02:00 (Safety Critical)",
    "Door lock manual operation at 07:10:28 while occupancy was reportedly zero across all zones"
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw MQTT/serial data stream from the kitchen smoke/CO detector immediately surrounding 00:02:00 for signal strength, error codes, or environmental readings (temperature/humidity) to distinguish between a real gas leak and a hardware fault.",
    "Verify the source IP/MAC address associated with the Manual LockOperation events at 07:10:28, 15:55:00, and 17:46:00 to determine if they originated from a registered mobile device or an unknown local network source.",
    "Cross-reference the Master Bedroom Window Covering state change at 22:20:12 with voice assistant logs or app usage logs to confirm user initiation versus remote control signals.",
    "Analyze the gap between the last known user movement (if any) and the first door lock event at 07:10:28 to calculate precise duration of absence."
  ],
  "provisional_risk": "critical"
}
```

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1845,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 13,
    "living_room": 20,
    "master_bedroom": 17,
    "second_bedroom": 10,
    "bathroom": 9,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-01T00:02:00] kitchen_smoke_alarm | Event: COAlarm()",
    "[2026-06-01T07:10:28] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T07:10:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-01T15:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T17:46:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T22:20:19] front_door_lock | Event: LockOperation(LockOperat

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unscheduled Carbon Monoxide (CO) alarm activation followed by immediate system reset or sensor failure, indicating potential gas leak, combustion event, or sensor malfunction.",
      "supported_by": ["[2026-06-01T00:02:00] kitchen_smoke_alarm | Event: COAlarm()", "[2026-06-01T00:02:00] kitchen_smoke_alarm | COState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential break-in attempt characterized by door locking/unlocking cycles occurring during a time when the home appears unoccupied and coinciding with other anomalous behaviors.",
      "supported_by": ["[2026-06-01T07:10:28] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-01T07:10:35] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-01T15:55:00] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-01T17:46:00] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "Room activity shows low occupancy in bedrooms/living room during lock events (e.g., 07:10, 15:55, 17:46)."],
      "contradicted_by": ["Standard morning/evening routines often involve manual locks; without owner confirmation, this remains suspicious but not definitive proof of intrusion."]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Suspected unauthorized access or tampering with smart home devices indicated by curtain position change at night while the house is reported as empty.",
      "supported_by": ["[2026-06-01T22:20:12] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "Occupancy s


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

The kitchen smoke alarm triggered a high-risk fire alert due to a sensor reading of 2271 (likely millivolts or raw ADC units) at midnight, which is consistent with the concurrent temperature readings in the hundreds; however, no actual cooking activity or particulate spike was recorded around the trigger time, indicating a hardware malfunction rather than a real fire.

Explanation: At 00:00:00, the kitchen_temp_sensor reported 'TemperatureMeasurement.MeasuredValue = 2271', while other room temps were ~2274. Standard Celsius/Fahrenheit/Kelvin scales do not place normal room conditions in the 2000s, and this value correlates numerically with subsequent 'temperature' logs that also rise into the 2300-2400 range.

Explanation: The smoke alarm triggered at 12:30:00 with SmokeState=1, but there are no corresponding 'kitchen_cook_surface' activity logs or unusual particulate density logs between 12:25-12:30 to support unattended cooking or a real fire event.

Explanation: The pattern of 'temperature' readings consistently appearing as values >2000 across multiple sensors suggests a calibration error, unit conversion failure, or sensor stuck-at-high-fault state, causing the safety logic to misinterpret noise or drift as a hazard.

[2026-06-13T00:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2285

Immediately verify physical kitchen conditions visually to rule out any undetected hidden fire sources.

Replace or recalibrate the kitchen smoke alarm and temperature sensor immediately.

Review firmware logs for unit conversion errors or ADC overflow events related to the timestamp 00:00:00.

[2026-06-13T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1395,
  "salient_event_count": 60,
  "focus_event_count": 86,
  "room_activity": {
    "kitchen": 13,
    "living_room": 24,
    "master_bedroom": 12,
    "second_bedroom": 12,
    "bathroom": 12,
    "entrance": 13
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-13T12:30:00] kitchen_smoke_alarm | SmokeState = 1",
    "[2026-06-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:30:

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Kitchen smoke alarm triggered indicating a potential fire hazard, while all other rooms show empty status.",
      "supported_by": ["[2026-06-13T12:30:00] kitchen_smoke_alarm | SmokeState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "System-wide occupancy drop at 00:00 suggests the household is asleep or away, making the later smoke event more critical as it occurs when occupants may be present (if awake) or asleep.",
      "supported_by": ["Multiple occupancy sensors reporting 0 from 00:00 onwards across all living spaces"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-13T12:30:00] kitchen_smoke_alarm | SmokeState = 1"
  ],
  "what_to_verify_in_raw_log": [
    "kitchen_smoke_alarm raw sensor voltage and particulate density readings to distinguish between cooking fumes vs. actual fire",
    "kitchen_cook_surface activity logs around 12:25-12:30 to check for unattended cooking",
    "window_covering and door_lock status in the kitchen immediately after the alarm trigger",
    "historical false-positive rate of this specific kitchen_smoke_alarm device"
  ],
  "provisional_risk": "high"
}

## Focused Raw Log
[2026-06-13T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-06-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-13T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-13T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-13T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-13T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-06-


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

触发入侵警报，通知住户，记录事件

No security threat detected; the log indicates a sensor malfunction (drift) causing false occupancy triggers and benign resident behavior.

Explanation: Occupancy sensors show consistent '0' readings from 00:30 until 07:15, contradicting the brief spike at 00:14 and 07:15, which correlates with temperature spikes indicating a sensor calibration drift or stuck state rather than human presence.

Explanation: The sequence at 07:15 shows an occupant entering (entrance_occupancy=1), manually locking the door (LockState=2), exiting (contact=True), and then an automatic unlock occurring immediately after exit. This pattern matches a standard 'auto-unlock upon exit' automation rule triggered by the door contact sensor, not an intrusion attempt.

Explanation: The late-night event at 21:51 follows the exact same logical flow (Manual Lock -> Exit -> Auto Unlock -> Occupancy Change), confirming the system's automated logic is functioning correctly for authorized residents.

[2026-06-02T07:15:20] front_door_contact | BooleanState.StateValue = True followed immediately by Auto Unlock at 07:15:21

Continuous occupancy = 0 from 00:30 to 07:15 despite temperature anomalies suggesting sensor drift

Investigate the living_room_occupancy sensor for calibration drift or physical obstruction causing intermittent false positives.

Verify the temperature sensor readings to ensure no environmental factors are affecting other smart devices.

[2026-06-02T07:15:21] front_door_lock | DoorLock.LockState = 1

[2026-06-02T18:28:00] front_door_lock | DoorLock.LockState = 2

[2026-06-02T21:51:32] front_door_lock | DoorLock.LockState = 1

Check for proximity data or Wi-Fi/BLE signals from mobile devices near the entrance between 07:15:10 and 07:15:21 to determine if the 'Manual' operation was authorized.

Verify if the 'Auto' unlock command at 07:15:21 originated from a legitimate smart-home automation rule triggered by occupancy or time, or if it was an external API call.

Correlate the 00:14 occupancy change in the living room with any motion detection logs to see if someone actually entered after the house was reported empty at 00:00.

Audit the system logs for failed authentication attempts on the door lock prior to the successful manual lock at 07:15:10.

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1657,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 10,
    "living_room": 25,
    "master_bedroom": 10,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 24,
    "balcony": 1
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-02T07:15:10] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T07:15:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-02T18:28:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T21:51:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-02T07:15:10] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-02T07:15:21] front_door_lock | DoorLock.Loc

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized re-entry attempt or lock manipulation during overnight hours.",
      "supported_by": [
        "[2026-06-02T07:15:10] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-02T07:15:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-02T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-02T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident performed scheduled morning routine (entering/leaving) and evening departure.",
      "supported_by": [
        "Lock operations at 07:15 and 18:28 correspond to typical wake-up and dinner/departure times.",
        "Occupancy sensors show empty house from 00:30 onwards until 00:14 the next day (likely a reset or sensor glitch), but consistent with absence."
      ],
      "contradicted_by": [
        "The specific sequence of 'Manual Lock' followed immediately by 'Auto Unlock' within 11 seconds is unusual for standard resident behavior if they just arrived.",
        "High event count (1657) with only 60 salient events suggests significant background noise or potential log flooding/sensor misconfiguration."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-02T07:15:10] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T07:15:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-02T07:15:10] front_door_lock | DoorLock.LockState = 2",
    "[20


门关闭后玄关再次检测到运动 同时有两个不相邻房间的运动信号（住户在客厅，另一人在次卧） 住户是独居的情况下不应有第二个人

疑似尾随入侵警报，建议住户确认是否有同行人

High-risk intrusion attempt indicated by an unauthorized automated door lock event during vacancy and a suspicious window manipulation sequence shortly before the house was vacated.

Explanation: At 18:50, the front door was locked via 'UserIndex=1' (non-manual source) while occupancy logs confirmed all rooms were empty, contradicting normal resident behavior.

Explanation: Between 22:30:16 and 22:30:20, the master bedroom curtains were fully opened followed immediately by an automatic lock of the front door, suggesting a potential distraction or escape route creation tactic.

Explanation: The combination of unknown access sources at odd hours and coordinated actuator movements without manual presence strongly points to active intrusion rather than routine activity.

Immediately contact law enforcement and provide timestamped logs of the 18:50 unauthorized entry and 22:30 window/door sequence.

Change all digital credentials (smart keys, mobile app tokens) associated with 'UserIndex=1' and force-reset the front door lock mechanism.

Dispatch security personnel to physically inspect the master bedroom window for forced entry signs and verify if curtains were manually manipulated or remotely controlled.

[2026-06-12T22:30:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-12T07:19:24] front_door_lock | DoorLock.LockState = 2

[2026-06-12T07:19:29] front_door_lock | DoorLock.LockState = 1

Sequence of master bedroom curtains being pulled open immediately before the front door is locked at 22:30 (potential escape route creation or distraction).

Front door lock operation using 'UserIndex=1' (non-manual source) at 18:50, which may indicate an automated attack, smart card clone, or compromised mobile app.

Timestamped video footage from entrance camera to verify if anyone approached the house between 18:45 and 19:00.

Access control logs for 'UserIndex=1' to determine if this ID corresponds to a known resident, service provider, or unknown entity.

Motion sensor logs for the master bedroom specifically between 22:25 and 22:35 to see if the window was actually opened or just the curtains moved remotely.

Check if the master bedroom window sensor triggered an open/close state change around 22:30, correlating with the curtain motor command.

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## 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": "SQ5",
  "event_count": 1846,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 11,
    "living_room": 20,
    "master_bedroom": 15,
    "second_bedroom": 10,
    "bathroom": 12,
    "entrance": 25
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-12T07:19:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T07:19:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-12T16:34:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T18:50:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
    "[2026-06-12T22:30

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

## Query
系统安全监测模块发出了警告信号。请根据以下设备日志分析可能存在的安全问题，判断威胁类型和严重程度，并制定应急响应方案。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential forced entry or break-in attempt involving window manipulation followed by door locking.",
      "supported_by": [
        "[2026-06-12T22:30:16] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Curtain fully opened at night)",
        "[2026-06-12T22:30:20] front_door_lock | DoorLock.LockState = 1 (Door locked shortly after curtain event)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Suspicious external access via 'UserIndex=1' source at unusual time, potentially indicating a cloned key or unauthorized user profile.",
      "supported_by": [
        "[2026-06-12T18:50:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Resident returning home manually locking the front door during evening commute hours.",
      "supported_by": [
        "[2026-06-12T16:34:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-12T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "Room activity data shows occupancy in living_room and kitchen earlier in the day."
      ],
      "contradicted_by": [
        "The specific timing of the 'UserIndex=1' event combined with the late-night window curtain change makes simple routine less likely to explain all anomalies simultaneously."
      ]
    }
  ],
  "most_concerning_signals": [
    "Sequence of master bedroom curtains being pulled open immediately before the front door is locked at