触发安全警报，临时禁用 Keypad 输入，通知住户

Repeated lock failures and alarms at the front door were followed by the door unlocking, an occupancy sensor trigger in the bedroom, and window coverings retracting, indicating a likely successful unauthorized entry.

Explanation: Four rapid 'LockOperationError' events followed by a 'DoorLockAlarm' between 19:57 and 19:58 suggest repeated forced or failed entry attempts.

Explanation: The sequence concludes with the door contact changing to open (True) and the lock state becoming unlocked (1) at 20:49:12, confirming the barrier was compromised.

Explanation: Immediate subsequent events include a bedroom occupancy sensor triggering (19:59:00), lights turning on, and window coverings fully retracted (20:49:18), consistent with an intruder moving inside and accessing other areas.

[2026-06-20T19:57:00] ... [2026-06-20T19:57:50] Multiple LockOperationErrors and DoorLockAlarm

[2026-06-20T20:49:12] DoorLock.LockState = 1 (Unlocked)

[2026-06-20T19:59:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

Immediately contact local law enforcement to report a potential break-in.

Review entrance camera footage to identify the suspect and method of entry.

Change all smart home credentials (lock codes, Wi-Fi passwords, app access) pending a full security audit.

Final LockState change to Unlocked (1) at 20:49:12 after the alarm sequence

Bedroom window covering retracting (open) at 20:49:18, coinciding with the door unlocking

Motion sensor readings for entrance (hallway), living_room, and bedroom specifically between 19:57:00 and 20:50:00 to confirm if an intruder entered.

Video footage from entrance camera and living room cameras during the time window of the lock failures.

Audio logs from the front door area to detect scratching, drilling, or voice commands.

System log to verify if 'OperationSource=3' corresponds to a specific unauthorized user profile or generic error code.

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

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

## Evidence Packet
{
  "sq_type": "SQ2",
  "event_count": 1860,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 19,
    "living_room": 22,
    "bedroom": 19,
    "bathroom": 9,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-20T06:54:04] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-20T06:54:07] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-20T08:35:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-20T19:57:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-20T19:57:15] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-20T19:57:25] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-20T19:57:40] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-20T19:57:50] front_door_lock | Event: DoorLockAlarm(Alar

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unauthorized or forced entry attempt detected in the late evening (19:57 - 20:49) characterized by repeated lock failure alarms and a final state change to unlocked.",
      "supported_by": [
        "[2026-06-20T19:57:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-20T19:57:15] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-20T19:57:25] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-20T19:57:40] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-20T19:57:50] front_door_lock | Event: DoorLockAlarm(AlarmCode=3)",
        "[2026-06-20T20:49:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-20T20:49:18] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Window opening event in the master bedroom at 20:49 suggests potential secondary egress point usage or window tampering following the front door incident.",
      "supported_by": [
        "[2026-06-20T20:49:18] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "No direct occupancy sensor trigger for 'bedroom' listed in suspicious_signals immediately after 20:49:18, though general room activity counts exist."
      ]
    }
  ],
  "most_concerning_signals": [
    "Sequence of 4 rapid LockOperationErrors followed by DoorLockAlarm between 19:57:00 and 19:57:50",
    "Final LockState change to Unlocke


伪装开锁（被盗/复制凭证）

合法凭证开锁，但进入后的行为模式与住户不符 不开灯（住户通常到家后开灯） 进入后的移动路径和设备操作模式与住户日常习惯不一致 本场景的难点：单看门锁事件是合法的，需要结合行为模式判断

中等可信度警报，建议住户确认是否本人操作

The sequence of events represents a normal evening routine where the resident locked the door via an automated system before leaving the house, with subsequent logs confirming empty occupancy and no unauthorized entry.

Explanation: Occupancy sensors confirm all rooms were empty starting at 00:00 until 20:38, eliminating the possibility of someone hiding inside during the 'suspicious' window.

Explanation: At 20:38:12, the front door was automatically unlocked (Source=Auto) while the resident turned on the bedroom light, indicating they were still present and preparing to leave, which explains the temporary unlock state.

Explanation: At 20:48:00, the resident manually re-locked the door from the kitchen (UserIndex=1), and the door contact sensor immediately registered as open (False), proving the user exited the premises after locking up.

[2026-06-21T20:38:12] front_door_lock | OperationSource=Auto

[2026-06-21T20:48:03] front_door_contact | StateValue = False

Continue monitoring standard daily routines.

No immediate action required; log event as false positive for potential 'tailgating' alert if such alerts are triggered by auto-unlock sequences.

Timing mismatch: Door unlock event at 20:38 followed immediately by window opening at 20:38:16, while occupancy was still non-zero earlier in the day but drops to zero only at midnight

Raw timestamp for the 'UserIndex=8' manual lock operation to correlate with physical camera footage if available.

State transition logs for the bedroom window motor to determine if the window was opened physically or via automation command.

Motion sensor logs specifically for the entrance hallway between 20:38 and 20:48 to detect movement during the suspected tailgating window.

Battery voltage or communication status of the front door lock around 20:38 to rule out signal interference causing false 'Auto' triggers.

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

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

## Evidence Packet
{
  "sq_type": "SQ2",
  "event_count": 1850,
  "salient_event_count": 60,
  "focus_event_count": 97,
  "room_activity": {
    "kitchen": 23,
    "living_room": 22,
    "bedroom": 19,
    "bathroom": 9,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-21T07:06:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-21T07:06:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-21T08:32:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-21T20:38:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-21T20:48:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=8, UserIndex=1)",
    "[2026-06-21T05:39:10] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-21T07:06:05] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-21T07:06:11] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-21T08:32:00] front_door_lo

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or 'tailgating' incident where a secondary occupant entered the home after the primary resident (UserIndex=1) departed.",
      "supported_by": [
        "[2026-06-21T20:48:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=8, UserIndex=1)",
        "[2026-06-21T20:38:16] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-21T20:38:12] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening routine where the resident closes windows, locks the door manually, and later leaves via an automated lock mechanism or sensor-triggered event.",
      "supported_by": [
        "Sequence of events: Window closed -> Door Locked -> Occupancy drops to 0 at midnight",
        "Standard user activity distribution across rooms"
      ],
      "contradicted_by": [
        "Presence of 'UserIndex=8' on manual lock operation which is inconsistent with the single-user profile implied by other logs",
        "Door unlocking at 20:38 (Auto source) while window is open suggests potential system glitch or delayed state update rather than normal exit behavior"
      ]
    }
  ],
  "most_concerning_signals": [
    "front_door_lock: LockOperation with OperationSource=8 (Unknown/Unrecognized ID) instead of standard user IDs",
    "bedroom_window: State change to 10000% (Open) occurring simultaneously with the door being unlocked/locked sequence in the evening",
    "Timing mismatch: Door unlock event at 20:38 followed immediately by window opening at 20:38:16, while occupancy was still non-zero earlier in the day but drops to zero


通知住户，如果有智能水阀则关闭总水阀

A confirmed water leak in the bathroom was detected at 23:39 while the entire house remained unoccupied for over two hours, posing a significant property damage risk.

Explanation: Occupancy sensors across all rooms (living room, bedroom, kitchen, bathroom, entrance) reported '0' from 00:00 until 06:51, confirming the house was empty during the incident window.

Explanation: The bathroom water leak sensor triggered a state change to True at 23:39:00, indicating an active leak.

Explanation: No human presence or activity (such as lights turning on or doors opening) occurred near the bathroom between the leak trigger and the morning occupancy detection, ruling out resident use.

[2026-06-24T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0

Immediately dispatch maintenance personnel to inspect the bathroom for leaks and repair plumbing.

Check the main water shut-off valve status and prepare to isolate water supply if the leak persists.

Check if any motion sensor triggered between 00:00 and 06:51 in the living room, bedroom, or entrance.

Verify the source of the 'Auto' lock operation at 06:51:12 (was it triggered by a sensor or manual override?).

Confirm the duration and volume of the water leak event starting at 23:39.

Cross-reference smart plug energy consumption logs for the bathroom fan/heater during the leak event.

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

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

## Evidence Packet
{
  "sq_type": "SQ2",
  "event_count": 1852,
  "salient_event_count": 60,
  "focus_event_count": 97,
  "room_activity": {
    "kitchen": 22,
    "living_room": 23,
    "bedroom": 19,
    "bathroom": 11,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-24T06:51:07] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T06:51:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T08:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T20:50:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T23:39:00] bathroom_water_leak | Event: StateChange(StateValue=True)",
    "[2026-06-24T05:33:16] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-24T06:51:07] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-24T06:51:12] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-24T08:27:00] front_door_lock | DoorLock.LockState = 2",

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential intruder activity or unauthorized entry due to door lock state changes at unusual hours combined with window coverings being adjusted.",
      "supported_by": [
        "[2026-06-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-24T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-24T05:33:16] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-24T06:51:07] front_door_lock | DoorLock.LockState = 2"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident performing morning routine (opening curtains, locking/unlocking doors) after a night of rest.",
      "supported_by": [
        "[2026-06-24T08:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-24T12:21:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-24T14:06:07] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0"
      ],
      "contradicted_by": [
        "[2026-06-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-24T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Water leak in the bathroom detected late at night while the house is unoccupied.",
      "supported_by": [
        "[2026-06-24T23:39:00] bathroom_water_leak | Event: StateChange(StateValue=True)"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",


触发安全警报，临时禁用 Keypad 输入，通知住户

Repetitive lock operation failures followed by an alarm indicate a mechanical or electrical fault at the front door, compromising home security.

Explanation: Occupancy sensors confirm residents were present in the kitchen and living room immediately prior to and during the error cluster (11:06-11:08), ruling out total house vacancy as the cause.

Explanation: The raw log shows four consecutive 'LockOperationError' events within 40 seconds, which is inconsistent with normal user behavior or a single failed attempt.

Explanation: A 'DoorLockAlarm(AlarmCode=3)' was triggered following the rapid failure sequence, explicitly flagging the device state as unsafe.

Timestamps show occupancy=1 in kitchen/living room right before the errors

Manually verify if the front door is currently locked from the outside.

Attempt to physically operate the deadbolt mechanism to rule out electronic sensor failure.

Replace or recharge the smart lock battery pack immediately.

No explicit sensor data confirming active human presence *during* the specific error window (11:08), though room_activity counts imply general activity throughout the day.

Cluster of 4 failed lock operations within 40 seconds

Raw motion sensor logs (occupancy_sensor) specifically in the Entrance, Kitchen, and Living Room between 11:07:00 and 11:10:00 to verify if an unauthorized person was present while the lock was malfunctioning.

Camera footage (if available) or audio logs from the entrance hallway during the 11:08 error cluster.

Battery voltage levels of the front door lock module to rule out low battery as the cause of the repeated failures.

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

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

## Evidence Packet
{
  "sq_type": "SQ2",
  "event_count": 1854,
  "salient_event_count": 60,
  "focus_event_count": 98,
  "room_activity": {
    "kitchen": 20,
    "living_room": 23,
    "bedroom": 18,
    "bathroom": 10,
    "entrance": 27
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T06:52:10] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T06:52:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T08:38:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T11:08:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-26T11:08:15] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-26T11:08:25] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-26T11:08:40] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-26T11:08:50] front_door_lock | Event: DoorLockAlarm(Ala

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Forced entry attempt or lockout due to mechanical/electrical failure at the front door, potentially leading to an unsecured home.",
      "supported_by": [
        "[2026-06-26T11:08:00] front_door_lock | Event: LockOperationError...",
        "[2026-06-26T11:08:50] front_door_lock | Event: DoorLockAlarm(AlarmCode=3)",
        "High frequency of errors (4 attempts in 50 seconds) followed by a system alarm"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine daily routine involving manual locking/unlocking and automated window covering adjustments.",
      "supported_by": [
        "Multiple successful manual lock operations (06:52, 08:38, 20:43)",
        "Successful Auto unlock event at 20:43 suggesting normal automation logic exists",
        "Window coverings changing state during daylight hours (12:37 open, 14:07 closed)"
      ],
      "contradicted_by": [
        "The sustained sequence of LockOperationErrors between 11:08:00 and 11:08:40 which does not fit a standard routine pattern for a single user interacting with a functioning smart lock"
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Indicators of compromised occupancy status; potential intruder presence while resident is absent.",
      "supported_by": [
        "Room activity shows significant movement in Entrance (27), Kitchen (20), Living Room (23), Bedroom (18), Bathroom (10)",
        "Occupancy sensors report '0' (empty) at midnight across all monitored rooms simultaneously",
        "Timestamps suggest events occurred over a long duration without clear exit/entry correlation around the error time"
      ],
      "contradicted_by": [


通过门锁合法进入（有 LockOperation 事件+有效 UserIndex），不是通过窗户

The system is operating normally; the 'Auto' lock event is a scheduled routine triggered by geofencing (resident leaving) and confirmed by subsequent window closure and light turning off.

Explanation: Occupancy logs show zero presence from midnight until 22:59, confirming the home was empty during the night.

Explanation: At 22:59:24, the bedroom window closed automatically, followed immediately by the front door locking via 'Auto' source at 22:59:28, indicating a synchronized smart-home departure routine rather than an intrusion.

Explanation: No other devices (lights, AC, contacts) showed signs of forced entry or unauthorized activation between the lock event and the resident's return at 15:00.

[2026-06-20T22:59:35] bedroom_light | OnOff.OnOff = False

Continue monitoring normal occupancy patterns.

Verify that the 'Auto' lock schedule remains active for future departures.

Battery voltage levels of the front_door_lock and motion sensors to rule out false positives caused by low power.

Check if any other devices (lights, AC) activated between 22:59:30 and 00:00:00.

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

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

## 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": "SQ3",
  "event_count": 1346,
  "salient_event_count": 60,
  "focus_event_count": 109,
  "room_activity": {
    "kitchen": 20,
    "living_room": 41,
    "bedroom": 26,
    "bathroom": 18,
    "entrance": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-20T15:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=5)",
    "[2026-06-20T22:59:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-20T08:20:08] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-20T10:02:13] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-20T22:59:24] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-20T22:59:28] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:30:00] living_room_occupancy | OccupancyS

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Resident left the home late evening and has been absent for over 20 hours.",
      "supported_by": [
        "[2026-06-20T22:59:28] front_door_lock | LockOperation(LockOperationType=1, ...)",
        "[2026-06-20T22:59:24] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-20T22:59:28] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized entry or internal tampering due to 'Auto' lock source during a period of zero occupancy.",
      "supported_by": [
        "[2026-06-20T22:59:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": [
        "Zero occupancy in all rooms from 00:00 onwards suggests no one is inside to trigger an internal event; however, 'Auto' could also be a scheduled routine (e.g., smart lock disarming at night) which is less likely combined with immediate door locking.",
        "If H1 is true (resident left), an 'Auto' unlock followed immediately by a manual lock might indicate a confused sensor state or a glitch rather than active intrusion."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-20T22:59:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps surrounding the Auto lock event (seconds before/after) to check for proximity alerts or motion spikes.",
    "Device firmware logs for the smart lock to determine if 'Auto' corresponds to a scheduled schedule (cron job) or a geofence trigger.",
    "Battery voltage levels of the front_door_lock and moti


烟雾报警器低电量时发生事件

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

警告住户烟雾报警器可能失灵，建议更换电池/设备

The observed events are consistent with routine automated home security and comfort routines, supported by confirmed human occupancy at the times of window operation.

Explanation: Occupancy sensors registered '1' (present) in the entrance at 08:24 and living room/kitchen at 12:29-14:02, directly contradicting the hypothesis of an empty house during the night activity.

Explanation: The bedroom window motor activated at 05:31 and 20:39 shortly after lights turned on, indicating user-initiated actions rather than external tampering or intrusion attempts.

Explanation: All other sensor data (temperature drifts, smoke alarm battery alerts, lock operations) align with normal system behavior and environmental conditions.

[2026-06-04T08:23:05] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-04T12:29:10] living_room_occupancy | OccupancySensing.Occupancy = 1

No action required; continue standard monitoring.

Verify smoke alarm battery replacement schedule as per the early morning alert.

Timestamps of bedroom_window motor activity vs. manual override logs to determine if curtains were moved by an external force or remotely.

Door lock event details at 20:39:13 to verify if 'Auto' unlock was triggered by a sensor (e.g., key fob) or system error, especially given the subsequent window movement.

Bathroom and Kitchen water leak detector status history to rule out silent leakage events coinciding with the night activity.

Motion sensor raw data for the bedroom hallway or window sill to detect small movements that might trigger occupancy sensors but not register as human presence.

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

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

## Evidence Packet
{
  "sq_type": "SQ2",
  "event_count": 1853,
  "salient_event_count": 60,
  "focus_event_count": 98,
  "room_activity": {
    "kitchen": 24,
    "living_room": 26,
    "bedroom": 17,
    "bathroom": 9,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-04T07:03:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T07:03:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T08:24:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T20:39:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-03T03:58:00] kitchen_smoke_alarm | BatteryAlert = 1",
    "[2026-06-04T04:08:00] kitchen_smoke_alarm | SmokeState = 0",
    "[2026-06-04T05:31:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-04T07:03:02] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-04T07:03:13] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-04T08:24:00]

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unusual nocturnal activity in the bedroom window area combined with locked front doors, suggesting potential unauthorized entry or simulated presence.",
      "supported_by": [
        "[2026-06-04T03:58:00] kitchen_smoke_alarm | BatteryAlert = 1",
        "[2026-06-04T04:08:00] kitchen_smoke_alarm | SmokeState = 0",
        "[2026-06-04T05:31:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-04T20:39:13] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-04T20:39:20] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "[2026-06-04T00:00:00] ..._occupancy | OccupancySensing.Occupancy = 0 (All rooms)",
        "[2026-06-04T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine daily operations including battery checks, automatic locking schedules, and user-operated curtain adjustments.",
      "supported_by": [
        "[2026-06-04T07:03:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-04T08:24:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-04T04:08:00] kitchen_smoke_alarm | SmokeState = 0"
      ],
      "contradicted_by": [
        "[2026-06-04T05:31:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-04T20:39:20] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-04T05:31:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",


Initial analysis incorrectly flagged a door open/close sequence as suspicious; raw logs confirm the occupant entered after locking the door and remained inside for several hours, ruling out an intrusion.

Explanation: The Stage-1 hypothesis regarding unauthorized entry was based on a temporal gap between the manual lock (18:16:00) and the contact sensor reporting 'open' (18:16:02). However, the raw log shows occupancy in the living room changed from 0 to 1 at 18:16:26, confirming the resident re-entered immediately after locking the door from the outside.

Explanation: The subsequent 'Auto' lock operation at 21:51 occurred while the residence was occupied (living room occupancy=1), which is consistent with an automated schedule or smart-home routine rather than a forced entry attempt during a break-in window.

Explanation: No evidence of forced entry, tampering, or abnormal sensor behavior (like stuck sensors or unexplained temperature spikes) exists in the provided raw log data.

Explanation: The previously noted rapid occupancy toggles in the Stage-1 summary are not present in the detailed raw log, which shows stable occupancy once the resident entered.

[2026-06-05T18:16:02] front_door_contact | BooleanState.StateValue = False (Door opened shortly after lock)

[2026-06-05T18:16:26] living_room_occupancy | OccupancySensing.Occupancy = 1 (Resident re-entered immediately)

[2026-06-05T18:16:32] living_room_light_1 | OnOff.OnOff = True (Light turned on upon entry)

Archive this event as a confirmed normal user activity cycle (lockout/re-entry).

{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unauthorized entry and subsequent exit sequence: The front door was manually locked at 18:16, but the contact sensor indicates the door opened (State=False) immediately after. Later, the door lock transitioned to 'Auto' operation at 21:51 while the bedroom window was fully open, suggesting a potential break-in or forced entry event.",
      "supported_by": ["[2026-06-05T18:16:02] front_door_contact | BooleanState.StateValue = False" (Door opened shortly after manual lock), "[2026-06-05T21:51:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)" (Lock state change without explicit manual trigger context), "[2026-06-05T21:51:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000" (Bedroom window fully open during suspicious lock activity)],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Inconsistent occupancy patterns indicating possible eavesdropping or staged presence: Living room occupancy fluctuates rapidly between 0 and 1 over short intervals, while bathroom and bedroom show no occupancy during key times, which might indicate motion sensors being triggered by external factors (e.g., pets, drafts from open windows) rather than human presence.",
      "supported_by": ["Multiple rapid toggles of living_room_occupancy between 0 and 1 between 18:00 and 18:56", "[2026-06-05T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0" followed quickly by presence detection"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-05T18:16:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-05T21:51:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-05T21:51:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps and source IP/MAC address for all front_door_lock operations around 21:51",
    "Full state history of bedroom_window and kitchen_window contact sensors between 18:16 and 21:51",
    "Raw binary data from living_room_occupancy sensor to rule out false positives from pets or environmental factors",
    "Audio logs or camera footage if available for the period surrounding the 21:51 lock event"
  ],
  "provisional_risk": "high"
}

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "SQ3",
  "event_count": 348,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 39,
    "living_room": 65,
    "bathroom": 6,
    "entrance": 4,
    "bedroom": 6
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T18:16:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T21:51:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T18:16:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-05T21:51:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-05T21:51:27] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-05T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-05T18:13:06] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-05T18:16:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-05T18:16:26] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-05T18:21:26] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-05T18:21:41] bedroo

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unauthorized entry and subsequent exit sequence: The front door was manually locked at 18:16, but the contact sensor indicates the door opened (State=False) immediately after. Later, the door lock transitioned to 'Auto' operation at 21:51 while the bedroom window was fully open, suggesting a potential break-in or forced entry event.",
      "supported_by": ["[2026-06-05T18:16:02] front_door_contact | BooleanState.StateValue = False" (Door opened shortly after manual lock), "[2026-06-05T21:51:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)" (Lock state change without explicit manual trigger context), "[2026-06-05T21:51:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000" (Bedroom window fully open during suspicious lock activity)],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Inconsistent occupancy patterns indicating possible eavesdropping or staged presence: Living room occupancy fluctuates rapidly between 0 and 1 over short intervals, while bathroom and bedroom show no occupancy during key times, which might indicate motion sensors being triggered by external factors (e.g., pets, drafts from open windows) rather than human presence.",
      "supported_by": ["Multiple rapid toggles of living_room_occupancy between 0 and 1 between 18:00 and 18:56", "[2026-06-05T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0" followed quickly by presence detection"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-05T18:16:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-05T21:51:19] bedroom_window | WindowCovering.Curre


只有1-2次错误（非连续多次），最终成功解锁且 UserIndex 是合法用户

Occupancy sensors are stuck reporting 'Empty' (0) while temperature sensors and subsequent events confirm significant human presence and activity.

Explanation: Raw logs show a continuous stream of temperature readings from kitchen and living room sensors throughout the period, indicating the devices were active and connected, contradicting total network failure.

Explanation: The occupancy sensors reported '0' at regular intervals (e.g., 13:00, 13:13, 13:30), creating an artificial pattern of vacancy that contradicts the expected behavior of a single-occupant household during waking hours.

Explanation: At 18:12, after the system had logged zero occupancy for over 6 hours, the door was manually unlocked and the occupant entered; the occupancy sensor in the living room immediately flipped to '1' at 18:12:14, proving the sensor hardware was functional but previously frozen or drifting incorrectly.

Continuous temperature data (e.g., 2521 -> 2443 -> 2387) proves device connectivity and environmental changes consistent with habitation.

Rigid periodic timestamps (every ~13 minutes) for 'Occupancy=0' across all rooms suggests a software polling glitch or sensor calibration drift rather than natural absence.

State transition at 18:12:14 (0 -> 1) upon manual entry confirms the sensor capability to detect motion existed prior to the anomaly window.

Reset the local gateway or reboot the specific occupancy sensor nodes to clear the stuck state.

Check for firmware updates or recalibrate the PIR sensors if the issue persists after reboot.

Verify the HVAC/AC logic is not inadvertently turning off based on false empty-room signals.

Door lock operations occurring while the system believes the house is completely unoccupied.

Rigid, periodic zero-occupancy timestamps suggesting potential sensor loop glitches rather than natural human behavior.

Raw PIR/Microwave Doppler waveform data from living_room_occupancy and bedroom_occupancy around 13:00-14:00 to distinguish between 'no motion detected' vs 'data packet loss'.

Timestamp correlation between 'front_door_lock' manual/unlock events and any temporary deviation in occupancy sensor states.

Device state history for window_covering and cook_surface to confirm if actions were taken by an authenticated user or automated routine.

Network connectivity logs to rule out simultaneous disconnection of all occupancy sensors.

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

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

## 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": "SQ3",
  "event_count": 599,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 38,
    "living_room": 53,
    "bedroom": 13,
    "bathroom": 12,
    "entrance": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T21:50:52] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T18:12:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-25T21:50:46] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-25T21:50:52] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-25T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-25T12:13:59] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-25T12:16:28] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-25T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-25T12:43:59] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-25T12:46:28] bathroom_

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Sustained total house vacancy (all rooms reporting 0 occupancy) for over 6 hours, which is highly improbable for a single-occupant household unless explicitly away, yet contradicted by active device interactions.",
      "supported_by": ["[2026-06-25T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-25T12:13:59] bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-25T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-25T21:50:52] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": ["Total event count of 599 with 38 in kitchen and 53 in living room suggests significant activity during the 'vacant' period.", "Door lock states change between 18:12 and 21:50 while sensors report empty."]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Sensor synchronization failure or calibration drift causing all occupancy sensors to falsely report 'Empty' despite high traffic logs in Kitchen and Living Room.",
      "supported_by": ["Uniform pattern of every sensor reporting 0 occupancy at regular intervals (13:00, 13:13, 13:16, etc.) across all rooms simultaneously.", "Room activity counts show heavy usage (Kitchen: 38, Living: 53) which logically requires human presence."],
      "contradicted_by": ["No specific error codes in the provided snippet indicating sensor malfunction, though this remains a strong possibility given the data volume vs. sensor readings."]
    }
  ],
  "most_concerning_signals": [
    "Discrepancy between 'High Activity' room counts (Kitchen/Living) and 'Zero Occupancy' sensor readings across all zones.",
    "Door lo


INS-05-FP: 住户换了新手机/手表解锁

虽然用了不常用的RFID方式解锁，但进门后最终开灯、正常活动，行为模式与住户一致

The sequence of events indicates a normal resident returning home via keycard (UserIndex=1) and subsequently locking the door from the inside, with no signs of forced entry or unauthorized access.

Explanation: Raw log shows a manual lock operation at 13:58:00 by UserIndex=1 immediately preceding the door opening, which contradicts the hypothesis of an unauthenticated breach.

Explanation: The subsequent occupancy detection (13:58:05), lighting activation, and immediate re-locking at 18:21:00 (Manual) are consistent with a standard 'leave/return' cycle managed by an authorized user.

Explanation: There is no evidence of sensor malfunction or environmental anomalies; the temperature drift is gradual and within expected ranges for the time elapsed.

No action required; events are consistent with authorized user behavior.

Video footage or motion sensor data specifically at the entrance hallway between 13:58:00 and 13:58:10 to distinguish between someone entering normally vs. forced entry.

Status of the bedroom_window covering and state changes around 21:59 to understand the context of that separate event.

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

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

## 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": "SQ3",
  "event_count": 605,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 33,
    "living_room": 53,
    "bathroom": 14,
    "bedroom": 13,
    "entrance": 7
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T13:58:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=8, UserIndex=1)",
    "[2026-06-30T18:21:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T21:59:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T18:21:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-30T21:59:27] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-30T21:59:36] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-30T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-30T12:17:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-30T12:18:31] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-30T12:30:00] living_room_occupancy | OccupancySensing.Occupancy =

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced entry event detected.",
      "supported_by": [
        "[2026-06-30T13:58:03] front_door_contact | BooleanState.StateValue = False (Door opened)",
        "[2026-06-30T13:58:05] living_room_occupancy | OccupancySensing.Occupancy = 1 (Person entered immediately after door opening)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident left the home and is currently outside.",
      "supported_by": [
        "[2026-06-30T18:21:00] front_door_lock | OperationSource=Manual (Locking action)",
        "[2026-06-30T21:59:36] front_door_lock | LockOperationType=0, OperationSource=Auto (Unlocking action)"
      ],
      "contradicted_by": [
        "[2026-06-30T13:58:03] front_door_contact | BooleanState.StateValue = False followed by occupancy in living room at 13:58:05"
      ]
    }
  ],
  "most_concerning_signals": [
    "Sequence: Front door contact opens (False) at 13:58:03, immediately followed by Living Room occupancy detection at 13:58:05. No prior lock unlock event recorded in the suspicious signals list for this specific timestamp (though an Auto unlock occurred at 21:59).",
    "All rooms reported as unoccupied ('Occupancy = 0') from 12:00 to 13:48, suggesting the house was empty during the period leading up to the door opening."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of all 'front_door_lock' events between 13:57:00 and 13:58:05 to determine if a manual or auto unlock preceded the door opening.",
    "User authentication logs associated with UserIndex=1 around 13:58 to verify identity.",
    "Video footage or motion sensor data specifically at the entrance hallway between 13:


No security anomaly detected; the apparent occupancy toggle at 18:06 was a delayed detection of resident re-entry after door locking, and subsequent kitchen activity confirms normal household presence.

Explanation: The sequence 'Living Room Empty (18:00) -> Door Locked (18:01) -> Living Room Occupied (18:06)' is consistent with a standard departure where the sensor missed the final exit moment or triggered late upon re-entering the hallway/living area immediately after locking up.

Explanation: The log shows continuous 'Occupancy = 1' from 18:06 onwards, followed by active kitchen usage (cooking surface off at 19:39, dishwasher on at 20:03), proving residents are present inside rather than it being a phantom loop.

Explanation: The bedroom occupancy toggling to 0 at various times indicates room-specific vacancies while the house remains occupied elsewhere, which is normal behavior for a multi-room home.

[2026-06-22T19:39:00] kitchen_cook_surface | OnOff.OnOff = False

[2026-06-22T20:03:00] kitchen_dishwasher | OnOff.OnOff = True

Review PIR sensor calibration for the living room if false negatives occur frequently during transit.

No immediate action required regarding security status.

Raw motion sensor PIR data for the living room between 18:00 and 18:10 to check for signal noise or false positives causing the toggle from 0 to 1.

Bedroom window cover motor logs around 21:50 to determine if the command originated locally, via app, or automatically.

Front door lock state transition logs to confirm the 'Manual' lock at 18:01 was not followed by an immediate unlock/lock cycle within seconds.

Correlation of kitchen activity logs with the living room occupancy spikes to see if residents are moving between rooms.

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "SQ3",
  "event_count": 350,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 40,
    "living_room": 65,
    "entrance": 4,
    "bathroom": 6,
    "bedroom": 5
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T21:50:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T18:01:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-22T21:50:22] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-22T21:50:28] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-22T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-22T18:01:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-22T18:01:24] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-22T18:05:27] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-22T18:06:24] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-22T18:11:24] living

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Inconsistent occupancy pattern: Living room occupancy is detected as '0' (empty) at 18:00, but the front door was just locked manually at 18:01. Subsequently, the living room registers high-frequency occupancy toggling starting at 18:06, suggesting potential loop detection issues or phantom activity after a person supposedly left.",
      "supported_by": ["[2026-06-22T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-22T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-22T18:06:24] living_room_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": ["User history might indicate a delayed exit where the sensor missed the final departure."]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Temporal mismatch between manual locking and subsequent events: The front door was locked manually at 18:01, yet the bedroom window covering is reported at 100% (fully closed/open?) at 21:50 without any preceding movement event in the bedroom log provided, which could imply automated behavior triggered by an undetected presence or external control.",
      "supported_by": ["[2026-06-22T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-22T21:50:28] front_door_lock | DoorLock.LockState = 1", "[2026-06-22T21:50:22] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": ["No explicit bedroom occupancy change is logged before 21:50 to justify the window action."]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-0


开窗前住户先在同一房间活动并开灯，是主动行为

The front door contact sensor is malfunctioning and incorrectly reporting the door as open (False) immediately after a successful manual lock operation, despite evidence of continuous indoor occupancy and normal lighting activity.

Explanation: At 18:28:00, the system logged a manual 'LockOperation' with type=1 (locking) and state=2 (locked), indicating the physical mechanism engaged successfully.

Explanation: Immediately at 18:28:02, the contact sensor reported StateValue=False (Open). This creates a direct contradiction: the door was mechanically locked in the same second the sensor claimed it was open.

Explanation: Subsequent logs show high-frequency occupancy signals in the living room (e.g., 18:28:20, 18:33:20, 18:43:20) and lights turning on/off inside the home, proving residents were present and active inside while the sensor falsely maintained an 'open' status.

Explanation: No other security breaches or abnormal activities (like unauthorized entry attempts or loitering outside) are detected; the pattern matches a stuck or faulty magnetic contact sensor rather than an intrusion event.

Replace the front door contact sensor immediately due to hardware failure.

Review the alarm history to ensure no false alarms were triggered by this specific sensor glitch during the evening.

Suspected 'loitering' or delayed departure scenario: Door opened manually at 18:28 but did not close/lock for ~9 hours until 22:06, despite continuous living room occupancy signals suggesting someone was inside.

Front door manually unlocked at 18:28:00 followed immediately by contact sensor reporting OPEN (False).

No subsequent lock events recorded on the front door until 22:06:34 (a 3+ hour gap with the door reportedly open).

Living room occupancy consistently detected as present ('1') throughout the period from 18:28 to 19:08, implying occupants were inside while the main entry point remained unsecured.

Check if there are any movement logs in the entrance hallway or kitchen between 18:28 and 22:06 to see who was entering/exiting.

Verify the state of the front door contact sensor specifically at timestamps 18:28:05, 20:00:00, and 21:30:00 to confirm if the door actually stayed open or if the sensor malfunctioned.

Review smart light logs for the entrance hall and front door area during this window to see if lights were toggled, indicating human presence outside or inside near the door.

Check geofence data or mobile app usage logs to determine if the homeowner's device was online or offline during the 18:28–22:06 window.

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "SQ3",
  "event_count": 349,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 36,
    "living_room": 64,
    "bedroom": 10,
    "bathroom": 6,
    "entrance": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-24T18:28:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T22:06:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T18:28:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-24T22:06:31] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-24T22:06:34] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-24T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-24T18:17:10] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-24T18:19:37] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-24T18:28:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-24T18:28:20] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-24T18:33:20] living_ro

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or intrusion sequence: Front door unlocked manually at 18:28, remained open for over an hour while living room occupancy was detected, then auto-locked at 22:06. The delay between manual unlock and auto-lock suggests the resident may not have returned immediately, or the system failed to detect re-entry.",
      "supported_by": [
        "[2026-06-24T18:28:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-24T18:28:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-24T18:28:20] living_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-24T22:06:34] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident left home around 18:17 (bedroom empty), entered briefly via front door at 18:28 (manual lock/unlock cycle possibly indicating a visitor arriving/departing or a glitch), and eventually locked up automatically upon final departure around 22:06.",
      "supported_by": [
        "[2026-06-24T18:17:10] bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-24T18:47:10] bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-24T22:06:34] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": [
        "[2026-06-24T18:28:02] front_door_contact | BooleanState.StateValue = False"
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Suspected 'loitering' or delayed departure scenario: Door opened manually at 18:28 but did not cl


只在儿童房一个房间内发生，kids_room_occupancy=1，有小孩在场

The sequence of events indicates a likely 'bump and run' burglary where an intruder forced the front door open and exited while simultaneously leaving the bedroom window fully open to mask the entry point or facilitate escape.

Explanation: Occupancy logs show all rooms were empty from 00:00 until 23:03, confirming the house was unoccupied.

Explanation: At 23:03:10, occupancy briefly spiked in the bedroom, suggesting someone entered that room just before the window opened.

Explanation: Immediately after this spike (23:03:14), the bedroom window was set to 100% open, followed by the front door contact triggering (open) at 23:03:21 and auto-locking at 23:03:22.

Explanation: This specific temporal cluster (Window Open -> Door Open -> Auto-Lock) contradicts standard security routines and strongly suggests a forced entry event followed by a rapid exit.

Explanation: The system's auto-lock triggered immediately after the door opened, which is consistent with a mechanical failure or bypass of the latch causing the sensor to register 'open', prompting the lock mechanism to engage (potentially trapping the lock or indicating a tamper event).

[2026-06-13T23:03:10] bedroom_occupancy | OccupancySensing.Occupancy = 1 (Late-night intrusion)

[2026-06-13T23:03:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window opened)

[2026-06-13T23:03:21] front_door_contact | BooleanState.StateValue = True (Door opened)

[2026-06-13T23:03:22] front_door_lock | Event: LockOperation(LockOperationType=0...Auto)

Dispatch security personnel to physically inspect the property for signs of forced entry on the front door and damage to the bedroom window.

Review video footage from exterior cameras if available to confirm unauthorized access.

Check the state of the front door lock mechanism to determine if it was manually overridden or mechanically damaged.

At 23:03:14, bedroom window is OPEN (10000) while the door locks at 23:03:22. Leaving a ground-floor bedroom window open while leaving the house (implied by door lock + 0 occupancy next day) is highly irregular unless specifically programmed for ventilation, which conflicts with typical security routines.

The sequence of events (Window Open -> Door Lock) is counter-intuitive for a standard 'goodnight' routine which typically closes everything before locking up.

Sensor malfunction or configuration error: Window coverings are reported as fully open (10000) at 23:03, yet the previous morning they were closed (0). This could indicate a sensor drift, motor failure, or a misconfigured rule that opens windows when the door locks.

Discrepancy between morning state (0/closed) and evening state (10000/open) without explicit user interaction logs shown.

Time gap between events: Window change at 23:03:14, Door lock at 23:03:22 (8 seconds later).

Temporal proximity of Bedroom Window Opening (23:03:14) and Front Door Auto-Lock (23:03:22) while occupancy is zero.

Absence of human occupancy confirmation before the window opening event.

High percentage value (10000) for window position indicating 'Fully Open' status immediately prior to departure.

Check raw command logs for the `bedroom_window` actuator to determine if a 'Open' command was sent manually or via a scheduled task.

Verify the definition of `WindowCovering.CurrentPositionLiftPercent100ths`: Does 10000 mean 100% Open or 100% Closed? (Context suggests Open given 0 was morning, but needs confirmation).

Review `front_door_lock` logs for `LockOperationType=0`: Does this represent 'User Initiated', 'Auto-Vacancy', or 'Tamper Attempt'? Was there a corresponding `Unlock` event just before?

Cross-reference `living_room_occupancy` and `kitchen` logs around 22:50-23:05 to see if residents were present when the window opened.

Check for any associated motion detection spikes in the bedroom or hallway leading up to the window operation.

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

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

## 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": "SQ3",
  "event_count": 1348,
  "salient_event_count": 60,
  "focus_event_count": 104,
  "room_activity": {
    "kitchen": 19,
    "living_room": 40,
    "bedroom": 24,
    "bathroom": 18,
    "entrance": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-13T23:03:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-13T08:28:18] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-13T10:08:18] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-13T23:03:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-13T23:03:22] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T0

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or 'bump and run' burglary: The front door was locked automatically at 23:03, but shortly after (or potentially preceding based on log ordering ambiguity), bedroom and living room windows were fully opened (10000/100 = open) while the house was unoccupied. Alternatively, if the lock event indicates an attempted forced closure without human intervention, it suggests tampering.",
      "supported_by": [
        "[2026-06-13T23:03:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-13T23:03:22] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-13T23:03:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "Room activity data shows low activity in living_room (40) vs high in kitchen/bathroom/living_room during daytime hours, suggesting evening departure.",
        "Multiple occupancy sensors reporting 0 starting from 00:00:00 continuously."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled home automation routine: The system is configured to close blinds at night for security/privacy and auto-lock doors upon detecting vacancy.",
      "supported_by": [
        "Window covering events at 08:28 (close) and 23:03 (open? Wait, 10000 usually means open, need to verify direction logic). If 0 is closed and 10000 is open, then H2 is contradicted by the morning opening time being late (8 AM) but evening event being opening.",
        "Standard smart-home behavior patterns often involve locking doors and closing curtains at night."
      ],
      "contradicted_by": [
        "At 23:03:14, bedroom window is OPEN (1000


INS-05-FP: 住户换了新手机/手表解锁

Evidence indicates an unauthorized entry into the bedroom late at night while the house was reported as empty by all occupancy sensors.

Explanation: Occupancy sensors for living_room, bedroom, and bathroom consistently reported 'Empty' (0) from midnight through 21:54, establishing no authorized occupants were present.

Explanation: At 21:54:30, exactly three seconds after a light turned on in the same room, the bedroom window cover moved to 100% open, suggesting forced or deliberate manipulation of the window state.

Explanation: The sequence of events (light on -> window opened -> front door contact triggered -> auto-unlock) correlates with a breach pattern rather than routine automation, especially given the lack of prior human presence.

[2026-06-19T00:00:00] ..._occupancy | OccupancySensing.Occupancy = 0

Dispatch security personnel immediately to verify physical access and secure the premises.

Check video footage (if available) from the bedroom and exterior to identify the intruder.

Inspect the bedroom window mechanism for signs of forced entry or tampering.

Timestamps and user IDs for the 'Auto' lock operations to confirm if they are system-triggered or manipulated.

Raw state transitions of the bedroom window contact sensor around 21:54:30 to see if the cover was forcibly pulled or manually adjusted.

Historical occupancy logs for the exact minute preceding and following 21:54:30 to rule out sensor blind spots.

Correlation between the kitchen activity (22 events) and living room activity (36 events) vs. the empty status of bedrooms/bathrooms to map human movement patterns.

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

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

## 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": "SQ3",
  "event_count": 1124,
  "salient_event_count": 60,
  "focus_event_count": 113,
  "room_activity": {
    "kitchen": 22,
    "living_room": 36,
    "bedroom": 22,
    "bathroom": 19,
    "entrance": 14
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:20:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:20:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T12:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=8, UserIndex=1)",
    "[2026-06-19T18:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T21:54:38] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T06:38:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-19T07:20:26] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-19T07:20:33] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-19T18:29:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-19T21:54:30] bedro

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced entry: The front door was locked manually at 07:20 and again at 18:29, followed immediately by Auto-unlocking events. However, the critical anomaly is the sequence where the bedroom window is fully opened (100%) at 21:54:30, while all room occupancy sensors report 'Empty' from 00:00 onwards through the evening, suggesting an intrusion occurred after hours without triggering motion alarms inside.",
      "supported_by": [
        "[2026-06-19T21:54:30] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-19T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-19T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine household activity involving manual locking/unlocking and normal window operation during daylight hours.",
      "supported_by": [
        "[2026-06-19T07:20:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T12:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=8, UserIndex=1)"
      ],
      "contradicted_by": [
        "Lack of occupancy data correlating with the specific timing of the window opening at 21:54."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-19T21:54:30] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "Absence of any occupancy event in living_room, bedroom, or bathroom between 00:00 and 21:54:30 despite high overall event counts elsewhere (kitchen/living_room)."
  ],
  "what_to_verify_in_raw_log":


BA-05-FP: 邻居/亲友代为浇花/喂宠物

通过门锁合法进入（有效的临时 UserIndex），进出有完整的开锁+锁门记录

The system logs confirm a standard resident return sequence with authenticated manual locking and no signs of unauthorized access or automated tampering.

Explanation: The focused raw log contains explicit evidence of a user (UserIndex=5) manually unlocking the front door at 14:37:00 with authentication source 3, followed immediately by occupancy detection in the living room.

Explanation: This is confirmed by the subsequent event where the same user (UserIndex=5) manually locked the door at 14:47:00, establishing a clear pattern of legitimate resident activity rather than an automated anomaly.

Explanation: Contradicting the Stage-1 hypothesis about an unauthenticated night-time event, the provided raw data does not contain any lock operations between 21:00 and 22:00, nor does it show 'Auto' sources without user context; the 'medium risk' signal was likely a false positive based on incomplete data.

[2026-06-09T14:37:00] front_door_lock | ... OperationSource=3, UserIndex=5

[2026-06-09T14:47:00] front_door_lock | ... OperationSource=3, UserIndex=5

Absence of any lock events between 21:00 and 22:00 in the provided timeline

No action required; the system behavior is consistent with normal residential usage patterns.

Review the full 12-hour dataset if necessary to ensure no other segments were omitted, but the visible evidence is conclusive.

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

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

## 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": "SQ3",
  "event_count": 601,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 39,
    "bedroom": 13,
    "living_room": 53,
    "bathroom": 12,
    "entrance": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-09T14:37:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=5)",
    "[2026-06-09T14:47:00] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=3, UserIndex=5)",
    "[2026-06-09T18:23:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T21:47:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-09T18:23:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-09T21:47:20] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-09T21:47:26] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-09T11:55:04] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-09T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-09T12:09:57] bathroom_occ

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unusual automated door locking pattern at night coinciding with window closure, suggesting potential unauthorized access or system tampering.",
      "supported_by": [
        "[2026-06-09T21:47:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-09T21:47:20] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents are away from home during the midday hours (12:00 - 13:55).",
      "supported_by": [
        "Multiple occupancy sensors reporting 'Occupancy = 0' across all rooms between 12:00 and 13:55.",
        "Low room activity counts in bedroom/living_room/bathroom during this period."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Automated lock operation at 21:47:26 immediately following window covering actuation.",
    "Lock state transition to '1' (unlocked) at 21:47:26 shortly after auto-lock event.",
    "Absence of explicit user authentication (UserIndex) for the late-night auto-lock event."
  ],
  "what_to_verify_in_raw_log": [
    "Raw state history of bedroom_window_covering to confirm if it opened/closed before 21:47:20.",
    "Motion sensor logs for living_room/entrance between 21:00 and 22:00 to detect intruder entry.",
    "Detailed event log for front_door_lock at 21:47:26 to verify if 'Auto' source corresponds to a motion trigger or a scheduled script.",
    "Contact sensor status for front_door between 21:47:20 and 21:47:26 to ensure physical door was closed before automation triggered."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06


No definitive evidence of intrusion found; the provided raw log snippet only covers a morning period (11:55-14:55) and does not contain the critical evening events (18:14-21:54) hypothesized in Stage-1.

Explanation: The focused raw log excerpt contains data strictly between 11:55 and 14:55, which is chronologically prior to the suspected intrusion window (18:14 - 21:54).

Explanation: The high-frequency bathroom occupancy observed in the log is consistent with normal household activity during waking hours and contradicts no security breach indicators within this specific timeframe.

Explanation: Since the raw log lacks the door lock state changes, curtain movements, or occupancy gaps cited in the initial hypothesis, the anomaly cannot be confirmed from this specific evidence packet alone.

Time range mismatch: Raw log ends at 14:55, while H1 events occur after 18:00.

Normal pattern: Bathroom occupancy spikes align with typical daytime usage patterns rather than suspicious behavior.

Missing context: No motion sensor triggers for living/bedroom or door lock anomalies are present in the provided text.

Request the full event log covering the 18:00 to 22:00 time window.

Verify the source and authorization method for the manual door unlock at 18:14 if available in external databases.

Review camera footage or smart-lock audit logs for the specific sequence of events mentioned in H1.

Check if the window covering command at 21:54:26 was triggered by a user interaction or automated rule.

Review camera footage (if available) for the entrance and bedroom area around 21:54.

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

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

## 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": "SQ3",
  "event_count": 724,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 36,
    "bathroom": 36,
    "living_room": 42,
    "bedroom": 6
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T18:14:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T21:54:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-10T18:14:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-10T21:54:26] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-10T21:54:35] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-10T11:57:05] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-10T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-10T12:02:05] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-10T12:07:05] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-10T12:12:05] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-10T12:17:05] bathroom_occupancy | Occupancy

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Suspected unauthorized entry or intrusion event: Front door was manually unlocked at 18:14 and remained locked until 21:54, followed by bedroom curtains being fully closed immediately after the lock state changed to 'unlocked' (State=1). This sequence suggests an intruder entered, secured the room from inside, and then attempted to re-secure or exit.",
      "supported_by": [
        "[2026-06-10T18:14:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-10T21:54:35] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-10T21:54:26] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "High-frequency bathroom usage pattern indicating occupancy within the home.",
      "supported_by": [
        "Multiple consecutive 'Occupancy = 1' events in bathroom between 12:02 and 12:52.",
        "Room activity count for bathroom is high (36)."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Temporal proximity of Bedroom Curtain closing (21:54:26) to Front Door unlocking (21:54:35) and subsequent LockState change to 1.",
    "Duration of Front Door being manually unlocked (approx 3.7 hours) without a corresponding 'Auto' unlock or visible occupancy in living/bedroom during that gap."
  ],
  "what_to_verify_in_raw_log": [
    "Check if there are any motion sensor triggers in the living_room or bedroom between 18:14 and 21:54.",
    "Verify the source of the manual unlock at 18:14 (keypad code, physical key, or app) and who authorized it.",
    "Check if the window covering command at 21


BA-05-FP: 邻居/亲友代为浇花/喂宠物

通过门锁合法进入（有效的临时 UserIndex），进出有完整的开锁+锁门记录

An unauthorized entry event occurred at 23:08, evidenced by the bedroom window opening while occupancy sensors falsely reported an empty house.

Explanation: At 23:08:13, the bedroom occupancy sensor recorded '1' (occupied), but immediately after at 23:08:20, the bedroom window was opened to 100% lift, suggesting a person inside operated it.

Explanation: Simultaneously at 23:08:23, the front door contact changed from closed to open (True) and then locked via an 'Auto' command, indicating the intruder exited or triggered the lock remotely after entering.

Explanation: Crucially, between 00:00 and 07:30, all occupancy sensors consistently reported '0' despite temperature logs showing significant heating cycles, indicating the sensors were malfunctioning or bypassed during the intrusion period, failing to detect the presence of an intruder.

[2026-06-13T23:08:13] bedroom_occupancy | OccupancySensing.Occupancy = 1

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

Immediately dispatch security personnel to the property for physical verification.

Reset and calibrate all room occupancy sensors to restore monitoring capabilities.

Review network access logs for unauthorized commands sent to the 'Auto' lock function around 23:08.

Window coverings closed at 09:54 (living room) and 08:31 (bedroom).

The 'Auto' source for the 23:08 door unlock and the simultaneous window opening (100%) at 23:08 contradict a simple 'leaving home' pattern; typically one would leave windows open upon exiting if not closing them earlier, but here they are opened late at night while the house is reported empty.

Simultaneous window opening (bedroom) and automatic front door operation (unlock then lock) at 23:08 when all occupancy sensors report empty.

Sudden transition to consistent zero occupancy readings starting exactly at 00:00 across all monitored rooms.

Raw state history for front_door_lock around 23:08 to confirm if UserIndex 5 performed an action vs. purely auto-triggered.

Power status logs for occupancy sensors to rule out battery failure or reboot at midnight causing false zeros.

Network connectivity logs to verify if the 'Auto' lock command at 23:08 originated from a remote script or scheduled task.

Motion detector raw signal levels (IR/PIR data) around 23:00-00:00 to see if movement occurred but wasn't logged as occupancy.

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

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

## 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": "SQ3",
  "event_count": 1349,
  "salient_event_count": 60,
  "focus_event_count": 107,
  "room_activity": {
    "kitchen": 18,
    "living_room": 40,
    "bedroom": 25,
    "bathroom": 18,
    "entrance": 6
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-13T18:58:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=5)",
    "[2026-06-13T19:08:00] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=3, UserIndex=5)",
    "[2026-06-13T23:08:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-13T08:31:17] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-13T09:54:17] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-13T23:08:20] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-13T23:08:23] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:0

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unauthorized or automated entry/exit event detected late at night (23:08) with simultaneous window opening and door locking, despite no occupancy records.",
      "supported_by": [
        "[2026-06-13T23:08:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-13T23:08:20] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "No occupancy events recorded in living_room, bedroom, or bathroom between 00:00 and 02:00."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Systematic false-negative occupancy reporting starting at midnight, suggesting sensor malfunction, power loss, or deliberate tampering.",
      "supported_by": [
        "[2026-06-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-13T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-13T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
        "Repeated zero readings at hourly intervals from 00:00 to 02:00 across all rooms."
      ],
      "contradicted_by": [
        "Presence of automated lock/unlock operations at 23:08 implies system was active enough to execute commands, though it could be network-based without local motion detection."
      ]
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Routine evening departure sequence where resident locks doors and closes windows before going to sleep.",
      "supported_by": [
        "[2026-06-13T18:58:00] front_door_lock | Event: LockOperation...",
        "[2026-06-13T19:08:00] front_door_lock | Event: LockOperation...",
        "Window c