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 represents a standard residential evening routine where occupants secure the home after settling in for the night.

Explanation: Occupancy sensors show continuous presence in living areas and the master bedroom until late evening (22:42), confirming residents were present.

Explanation: The window closing event at 22:42:22 is immediately followed by the front door contact sensor triggering (StateValue=True) at 22:42:29, indicating an occupant physically exited the house to lock the door from the outside or triggered the auto-lock upon exit.

Explanation: The subsequent lock operation (LockOperationType=0/Auto) and light off at 22:42:30 are consistent with automated 'Good Night' routines triggered by motion/occupancy changes or manual app commands after departure.

Explanation: No evidence of forced entry, unauthorized access, or abnormal sensor states exists; the timeline aligns perfectly with normal human behavior.

[2026-06-10T22:42:29] front_door_contact | BooleanState.StateValue = True

Continue monitoring standard daily patterns.

[2026-06-10T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-10T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0

Check the specific timestamp and device ID for the 'front_door_lock' lock operation to confirm if OperationSource='Auto' corresponds to a known user action (e.g., app command) or an unknown automated trigger.

Verify the state of the 'master_bedroom_window' contact_sensor immediately before and after 22:42:22 to ensure it was closed (no gap in coverage).

Review raw logs for any 'contact_sensor' opens on the front door within the last 6 hours that are not accompanied by a corresponding 'door_lock' unlock event.

Cross-reference the timeline of the last occupant leaving the master bedroom (last seen 18:17) with the time the front door was locked (22:42) to determine if the house was truly empty or if occupants remained unseen.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 548,
  "salient_event_count": 60,
  "focus_event_count": 98,
  "room_activity": {
    "kitchen": 21,
    "living_room": 31,
    "entrance": 20,
    "master_bedroom": 20,
    "second_bedroom": 3,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T22:42:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-10T22:42:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-10T22:42:30] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-10T17:56:03] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-10T17:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-10T17:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-10T18:00:00] second_bedroom_occupancy | OccupancySensing.Oc

## 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": "normal",
      "description": "Residential evening routine: Family members move through the home, settling into bedrooms while lights and locks operate as expected.",
      "supported_by": [
        "Sequential occupancy events showing movement from entrance/living_room to master_bedroom between 17:56 and 18:17.",
        "Door lock operation at 22:42 (LockOperationType=0/Auto) likely represents a scheduled or smart-home triggered security arm sequence after hours.",
        "Window covering event at 22:42 (Position=100%) indicates closing blinds for night mode."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential forced entry or unauthorized access attempt due to door locking state immediately following window closure without preceding motion detection in the bedroom where the window is located.",
      "supported_by": [
        "Master bedroom window covering closed at 22:42:22.",
        "Front door locked at 22:42:30 (28 seconds later).",
        "No explicit 'DoorContact' open/close event listed for the front door before/after the lock command in the suspicious_signals snippet, making the trigger source opaque."
      ],
      "contradicted_by": [
        "Occupancy sensor in master_bedroom was active until 18:17, implying residents were present earlier; however, absence of recent occupancy updates does not rule out presence.",
        "Event count shows significant activity in kitchen (21), living_room (31), and entrance (20) throughout the period, suggesting high human activity rather than an isolated intrusion event."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-10T22:42:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPe


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 sequence of events represents a standard user routine where an authorized resident unlocked the door, entered briefly to perform an action (e.g., checking mail or petting a dog), and immediately re-locked it before leaving.

Explanation: Occupancy sensors confirm the house was empty from 00:00 until 07:25, establishing a secure baseline.

Explanation: At 18:05:00, an 'Auto' unlock event occurred for UserIndex=5, followed by occupancy detection at 18:05:25, confirming legitimate entry.

Explanation: The subsequent manual lock at 18:10:00 is consistent with a user performing a quick task and exiting, rather than a forced entry or breach, as no tamper alarms were triggered and the system remained secured overnight.

Explanation: All other sensor data (temperature, room occupancy) shows normal residential patterns with no signs of intrusion attempts.

[2026-06-12T18:05:25] entrance_occupancy | OccupancySensing.Occupancy = 1

Continue monitoring; no immediate intervention required.

Optional: Review smart-home app logs if specific context about the 18:05 activity is desired for audit purposes.

[2026-06-12T22:00:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-12T07:25:22] front_door_lock | DoorLock.LockState = 2

[2026-06-12T07:25:33] front_door_lock | DoorLock.LockState = 1

High concentration of entrance activity (26 events) compared to other rooms might indicate frequent door interaction, though not inherently suspicious without more context.

No subsequent auto-unlock at 22:00:30 suggests the house remained secured overnight, negating a sustained breach scenario.

Occupancy sensors show empty status for all rooms starting 00:00:00, consistent with residents sleeping after the 22:00 lock.

Check the raw log entries between 18:04:00 and 18:09:00 for any motion sensor triggers, window contact changes, or keypad entry attempts coinciding with the Auto Unlock event.

Verify the definition of OperationSource=3 and UserIndex=5 to confirm if this matches a known household member or an external actor.

Cross-reference the 18:10:00 Manual Lock event with camera footage or smart-home app logs to see who physically performed the action.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1660,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 12,
    "living_room": 23,
    "master_bedroom": 10,
    "second_bedroom": 10,
    "bathroom": 11,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-12T07:25:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T07:25:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-12T17:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=5)",
    "[2026-06-12T18:05:00] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=3, UserIndex=5)",
    "[2026-06-12T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T22:00:30] front

## 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": "Standard daily routine involving manual locking in the morning, automated unlocking upon return, a brief manual re-locking event during evening activities, and automated night-time locking.",
      "supported_by": [
        "Lock operations follow a logical temporal sequence (Morning Lock -> Evening Unlock/Enter -> Evening Re-lock -> Night Lock).",
        "Source 'Manual' at 07:25 suggests leaving home; Source 'Auto' at 07:25 suggests immediate return or system glitch, but followed by consistent Auto unlock at 18:00 and 22:00.",
        "UserIndex=5 appears consistently with Auto operations at 18:05 and 22:00, indicating a specific authorized user triggering automation."
      ],
      "contradicted_by": [
        "The gap between 07:25:33 (Auto Unlock) and 18:05:00 (Next Auto Unlock) is long, implying no auto-triggered entry events occurred mid-day, which is expected if the user was away or manually operated the door.",
        "The lock state change at 18:10:00 to State=2 (Locked) via Manual operation shortly after an Auto Unlock at 18:05:00 suggests a specific human intervention rather than a standard auto-cycle."
      ]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized access or forced entry attempt at 18:10:00, indicated by a sudden manual lock-down immediately following an automatic unlock event.",
      "supported_by": [
        "Sequence: Auto Unlock (18:05:00) -> Manual Lock (18:10:00). While this could be a resident securing the house, the tight coupling of Auto then Manual in the evening often flags systems where a sensor triggered an unlock that wasn't desired, or a manual override occurred quickly.",
        "High concentration of entra


BA-04-FP: 传感器触发延迟导致顺序看似跳跃

客厅occupancy在阳台和主卧之间有触发（2秒时），移动路径合理

The sequence of events indicates a resident returning home after a period of absence, manually locking the door from the outside (or inside via an override), and subsequently entering, rather than an unauthorized intrusion.

Explanation: Occupancy sensors at the entrance were active prior to the lock event (17:55:18), suggesting someone was already present or approached the door before the 18:02:00 manual operation.

Explanation: The 'Manual' lock operation at 18:02:00 followed immediately by the door opening and occupancy detection is consistent with a user closing a door they just opened or re-locking before stepping inside, especially given the lack of prior forced entry indicators.

Explanation: Normal evening behavior patterns are confirmed later in the log with lights turning on, temperature stabilization, and movement into living rooms/bedrooms without further security breaches.

[2026-06-17T18:02:29] living_room_occupancy | OccupancySensing.Occupancy = 1

Monitor system for continued normal activity.

Review access logs if the resident reports being locked out previously, but no immediate action required for this specific incident.

[2026-06-17T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

Check if there were any preceding 'Unlock' events for the front door within the last hour to determine if the resident was locked out.

Verify the 'OperationSource' context for the 18:02 event; confirm if it is truly 'Manual' via app/keypad or if it represents an override/forced mechanism.

Cross-reference camera footage or motion logs specifically around 18:01:30 - 18:02:30 to visualize who approached the door and whether they entered directly or used a key/code without triggering an initial unlock log.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 499,
  "salient_event_count": 60,
  "focus_event_count": 105,
  "room_activity": {
    "kitchen": 22,
    "entrance": 31,
    "living_room": 41,
    "master_bedroom": 4,
    "second_bedroom": 4,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-17T18:02:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T22:15:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T18:02:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-17T22:15:37] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-17T17:55:18] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-17T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-17T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",

## 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 forced entry event at 18:02, indicated by a sequence of door unlock (manual), door contact opening, and subsequent occupancy in the entrance area.",
      "supported_by": [
        "[2026-06-17T18:02:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-17T18:02:00] front_door_lock | DoorLock.LockState = 2",
        "[2026-06-17T18:02:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-17T18:02:03] entrance_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident returns home between 18:00 and 18:02, manually unlocking the door and entering the living room.",
      "supported_by": [
        "[2026-06-17T17:55:18] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-17T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-17T18:02:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
      ],
      "contradicted_by": [
        "The lack of prior 'Unlock' events before the manual lock operation at 18:02, which might suggest a previous lockout or emergency re-entry rather than a standard return if the door was already closed/locked from inside."
      ]
    }
  ],
  "most_concerning_signals": [
    "Manual lock operation (Type=1) at 18:02:00 followed immediately by door state change to Open (False) and Entrance Occupancy detection.",
    "Door contact sensor reports False (Open) exactly 2 seconds after the manual lock operation timestamp, implying the door was opened post-manual-interaction."
  ],
  "wha


第二人通过合法凭证解锁（不同UserIndex），且有合理时间间隔

The system activity represents a standard evening routine where residents occupied the living room until late afternoon and left, with no evidence of unauthorized entry or intrusion.

Explanation: The raw log confirms continuous occupancy in the living room from 12:03 to at least 14:33, contradicting the hypothesis that the house was empty before the auto-lock event.

Explanation: Occupancy sensors for all private rooms (bedrooms) and the entrance remained '0' throughout the entire period, indicating no one was inside the secure zones when the door locked.

Explanation: The sequence of events (living room active -> bathroom cleared -> departure implied by lack of subsequent presence) aligns perfectly with a normal household leaving pattern, rendering the 'unauthorized entry' hypothesis invalid based on available sensor data.

[2026-06-21T14:33:00] living_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-21T12:08:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 836,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 35,
    "living_room": 62,
    "master_bedroom": 6,
    "second_bedroom": 6,
    "entrance": 6,
    "bathroom": 5
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-21T23:02:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-21T23:02:35] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-21T11:58:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-21T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T12:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T12:03:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-

## 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 intrusion attempt: The front door was locked automatically at 23:02, but the system shows no occupancy events in the entrance hallway prior to this lock event, suggesting the house may have been empty when the door was secured, or an intruder bypassed motion detection.",
      "supported_by": ["[2026-06-21T23:02:35] front_door_lock | Event: LockOperation... OperationSource=Auto", "No entrance_occupancy events recorded before 23:02"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard evening routine where residents were present in the living room throughout the afternoon (12:00-12:46) and left the premises after the bathroom occupancy cleared at 12:46, with the auto-lock occurring later at night (23:02).",
      "supported_by": ["Multiple consecutive living_room_occupancy = 1 events between 12:03 and 12:46", "bathroom_occupancy returning to 0 at 12:46"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-21T23:02:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
  ],
  "what_to_verify_in_raw_log": [
    "Check for any contact_sensor trigger on the front_door during the period 23:00 - 23:03 to verify if the door was opened/closed manually before auto-locking.",
    "Verify the timestamp of the last manual unlock command vs. the auto-lock trigger to ensure no forced re-locking occurred while the door was ajar.",
    "Cross-reference camera feeds (if available) or other smart devices (e.g., smart speakers) around 23:02 to confirm whether anyone was physically present inside the home."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log


INS-05-FP: 住户换了新手机/手表解锁

The sequence of events indicates a resident locking the door from the outside after exiting, followed by re-entry and normal household activity; no intrusion or tailgating is supported.

Explanation: At 18:06:00, the lock was engaged manually (LockOperationType=1), likely by the resident standing outside.

Explanation: The occupancy sensor at the entrance remained '1' until 18:06:03, which corresponds to the time required for the person to walk through the now-closed door into the foyer/living area, rather than an intruder lingering in the vestibule.

Explanation: Subsequent logs show consistent occupancy in the living room and kitchen, with lights turning on and cooking activities resuming normally, confirming the presence of a legitimate occupant inside.

[2026-06-05T18:06:07] entrance_light | OnOff.OnOff = True

[2026-06-05T18:46:30] kitchen_cook_surface | OnOff.OnOff = True

Review camera footage if available to confirm the user locked the door while outside before re-entering.

[2026-06-05T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

Timestamps of the motion sensor events leading up to the manual lock to determine if the user actually walked out.

Audio logs or camera feeds (if available) around 18:05-18:06 to verify if the door opened twice or if someone lingered.

The specific logic of the smart lock: Does 'LockOperationType=1' mean 'Locked' or 'Unlocked'? (Assumed Locked based on context, but verification needed).

Latency between door closure detection and the manual lock command.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 494,
  "salient_event_count": 60,
  "focus_event_count": 107,
  "room_activity": {
    "kitchen": 24,
    "entrance": 29,
    "living_room": 42,
    "master_bedroom": 4,
    "second_bedroom": 4,
    "bathroom": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T22:08:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T18:06:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-05T22:08:31] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-05T17:59:25] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-05T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-05T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",

## 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 'tailgating' incident where an intruder entered after the legitimate resident locked the door from the inside.",
      "supported_by": [
        "[2026-06-05T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-05T17:59:25] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-05T18:06:02] front_door_contact | BooleanState.StateValue = False"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident exited via the front door, manually locked it immediately upon closing (standard behavior), and subsequently returned to the house.",
      "supported_by": [
        "[2026-06-05T18:06:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-05T18:06:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-05T18:06:05] entrance_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": [
        "[2026-06-05T17:59:25] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-05T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
      ]
    }
  ],
  "most_concerning_signals": [
    "Occupancy detected at entrance (17:59) followed by a Manual Lock event (18:06) before the door contact confirmed closed state.",
    "Door contact transitioned to Closed (False) at 18:06:02, but Occupancy remained 1 at the entrance sensor until 18:06:03, suggesting someone was physically present in the foyer when the lock was engaged."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of the motion sensor events leading up to the manual l


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

Evidence indicates a forced entry attempt at 07:42 and a successful intrusion or breach at 22:42, characterized by the door being unlocked immediately after manual locking and coinciding with an open master bedroom window while the house was occupied.

Explanation: At 07:42, the front door contact sensor changed to 'open' (False) exactly 1 second before the lock auto-unlocked, confirming physical manipulation of the door rather than a logical system error.

Explanation: At 22:42, the master bedroom window covering opened to full extension just 6 seconds before the front door contact sensor triggered 'open', suggesting coordinated access via the window leading to interior movement.

Explanation: The timing correlation between the window opening, the door contact breach, and the subsequent auto-unlock during an occupied period (Master Bedroom occupancy = 1) strongly points to an intruder bypassing external locks.

[2026-06-30T07:42:14] front_door_contact | BooleanState.StateValue = False

[2026-06-30T22:42:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-30T22:42:26] front_door_contact | BooleanState.StateValue = True

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

Do not re-enter the property until authorities have secured the scene.

Review all camera footage for the time periods surrounding 07:42 and 22:42 to identify suspects.

[2026-06-30T07:42:12] front_door_lock | DoorLock.LockState = 2

[2026-06-30T07:42:22] front_door_lock | DoorLock.LockState = 1

[2026-06-30T16:20:00] front_door_lock | DoorLock.LockState = 2

Temporal Correlation: Door unlock event happens exactly 5 minutes after the master bedroom window is reported as fully open.

Raw sensor readings for 'front_door_contact_sensor' to confirm if the door was actually opened between 07:42:12 and 07:42:22, or if the lock logic malfunctioned without physical entry.

Raw sensor readings for 'master_bedroom_window_sensor' (contact_sensor) to verify if the window covering opening ('10000') correlates with an actual window breach/opening event.

System logs for 'front_door_lock' around 22:42:22 to determine if the 'Auto' source was triggered by a scheduled smart-home rule, a motion detection event, or a remote command.

Check for any 'smoke_co_alarm' or 'water_leak_detector' events that might have triggered emergency unlocking protocols.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1839,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 10,
    "living_room": 20,
    "master_bedroom": 17,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T07:42:12] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T07:42:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T16:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T17:44:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T22:42:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T07:42:12] front_door_lock | DoorL

## 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 forced entry attempt: The front door was manually locked at 07:42, then immediately auto-unlocked 10 seconds later. Later in the evening (16:20, 17:44), the door was manually locked again but remained locked until 22:42 when it auto-unlocked while the master bedroom window was fully open.",
      "supported_by": ["[2026-06-30T07:42:12]... LockOperation(Manual)... State=2", "[2026-06-30T07:42:22]... LockOperation(Auto)... State=1", "[2026-06-30T22:42:27]... LockOperation(Auto)... State=1", "[2026-06-30T22:42:22]... WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine household activity with automated lighting/curtain adjustments based on occupancy and time.",
      "supported_by": ["Room activity counts are distributed across kitchen, living room, bedrooms, bathroom, and entrance", "Occupancy sensors show consistent '0' readings during early morning hours (00:00 - 00:30) suggesting an empty house period"],
      "contradicted_by": ["The specific sequence of manual lock -> immediate auto-unlock and the coincidence of door unlocking with a master bedroom window being fully open suggests potential intrusion or system compromise rather than routine behavior."]
    }
  ],
  "most_concerning_signals": [
    "Sequence: Manual Lock (07:42:12) -> Auto Unlock (07:42:22): Unusual rapid state change immediately after manual engagement.",
    "Sequence: Manual Lock (17:44:00, State=2) -> Auto Unlock (22:42:27, State=1) coinciding with Master Bedroom Window Opening (22:42:22).",
    "Temporal Correlation: Door unlock event happens exactly 5 minutes after the master bedroom window is


活动从卧室开始（住户起床），路径合理（卧室→客厅→厨房→卧室），最终回到卧室

A person manually locked the front door at 18:10:00 while still standing inside or immediately exiting, causing a sensor conflict where the contact sensor registered an 'open' state seconds later despite the lock engaging, followed by lights turning on and occupancy persisting in the entrance.

Explanation: At 18:10:00, the user manually locked the front door (LockState=2), indicating the door was secured from the inside.

Explanation: Only 2 seconds later at 18:10:02, the contact sensor reported the door as OPEN (False), which is physically impossible if the lock successfully engaged and the user had fully exited; this suggests the 'Open' reading occurred before the latch fully dropped or due to a tailgater entering just after the lock command but before the mechanical seal.

Explanation: The entrance occupancy remained active ('1') during this critical window, and the entrance light turned on at 18:10:11, confirming someone was present in the entryway when the door was allegedly secured. The subsequent activation of the living room confirms they entered the main space.

Review video footage from the time of locking to verify if a second individual entered immediately after the resident.

Inspect the physical alignment of the door strike plate and sensors for tampering or obstruction that could cause false readings.

Update smart lock settings to require a double-check confirmation or integrate with a video doorbell alert upon manual locking.

[2026-06-25T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

Entrance occupancy sensor remained ACTIVE ('1') during the time window when the door was allegedly locked and then reported open.

Living room occupancy jumped from 0 to 1 at 18:14, shortly after the door anomaly, suggesting someone gained access to the interior space.

Check raw timestamp granularity for the `front_door_contact` event at 18:10:02 to rule out network latency or clock skew causing a false 'open' reading.

Verify if any `motion` or `pressure` data exists on the floor mat inside the entrance hallway between 18:10:00 and 18:10:05.

Cross-reference the `manual` lock operation source IP/MAC address against known resident devices to confirm if it was an authorized action.

Check camera footage (if available in logs) or smart lock video feed for the exact moment the lock turned vs. the door opening.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 493,
  "salient_event_count": 60,
  "focus_event_count": 107,
  "room_activity": {
    "kitchen": 24,
    "bathroom": 4,
    "entrance": 30,
    "living_room": 41,
    "master_bedroom": 4,
    "second_bedroom": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T21:50:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T18:10:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-25T21:50:36] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-25T17:55:59] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-25T17:57:20] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-25T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "

## 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 'tailgating' incident. Evidence suggests the front door was manually locked at 18:10, but the contact sensor registered an open state (False) immediately after, while occupancy sensors in the hallway/entrance remained active. The subsequent transition of the main living area from empty to occupied within minutes implies either a delayed entry event or an intrusion that occurred before the door was fully secured.",
      "supported_by": [
        "[2026-06-25T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-25T18:10:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-25T18:10:03] entrance_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard evening arrival sequence where residents arrive in shifts or one resident entered late. The high frequency of entrance occupancy events (18:07-18:25) and the eventual activation of the living room suggest normal household activity levels for the evening.",
      "supported_by": [
        "room_activity.living_room = 41",
        "room_activity.entrance = 30",
        "Multiple transitions showing Occupancy = 1 in entrance and living_room between 18:00 and 18:25"
      ],
      "contradicted_by": [
        "The specific timing gap between manual locking at 18:10:00 and the door contact reporting 'Open' at 18:10:02, combined with persistent entrance occupancy."
      ]
    }
  ],
  "most_concerning_signals": [
    "Door lock engaged manually at 18:10:00, yet door contact sensor reported OPEN state just 2 seconds later (18:10:02).",


BA-04-FP: 传感器触发延迟导致顺序看似跳跃

客厅occupancy在阳台和主卧之间有触发（2秒时），移动路径合理

The sequence of events represents a standard automated evening routine where occupants are already inside (Master Bedroom), followed by a scheduled automation closing the window and locking the front door.

Explanation: Occupancy logs confirm residents were present in the master bedroom immediately prior to the event (22:46:14), ruling out an intruder entering from outside.

Explanation: The 'Auto' lock source combined with the specific timing suggests a pre-configured smart scene rather than manual intervention or forced entry.

Explanation: The window closure occurred while occupancy was detected inside, which is consistent with securing the home for the night, not sealing off an intrusion point from the outside.

[2026-06-04T22:46:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-04T22:46:27] front_door_lock | Event: LockOperation(... OperationSource=Auto)

Verify the user's preferred 'Good Night' or 'Away' automation schedule to confirm if this exact timestamp and sequence are intentional.

No immediate security alert required; monitor system as normal.

[2026-06-04T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-04T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0

The specific correlation between closing the Master Bedroom window (often a private space) and immediately locking the front door via an automated rule triggered at 22:46 is less common in standard routines unless explicitly configured for this exact minute.

Absence of temperature pattern data or light state changes to confirm a typical 'bedtime' or 'away' mode activation.

Check the trigger condition for the 'front_door_lock' Auto event: Was it linked to a specific time schedule, geofence exit, or a virtual sensor change?

Verify the state of the master_bedroom_window prior to 22:46:23 to determine if it was manually opened/closed or moved by a mechanism.

Cross-reference the 'Living Room Occupancy' and 'Entrance Occupancy' logs around 22:46 to see if occupants were present or had just left, which would explain why the Auto-lock didn't trigger earlier.

Inspect the configuration history for any recent changes to automation rules linking window sensors to door locks.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 550,
  "salient_event_count": 60,
  "focus_event_count": 98,
  "room_activity": {
    "kitchen": 20,
    "living_room": 32,
    "entrance": 20,
    "master_bedroom": 20,
    "second_bedroom": 3,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-04T22:46:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T22:46:23] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-04T22:46:27] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-04T17:57:03] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-04T17:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-04T17:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-04T18:00:00] second_bedroom_occupancy | OccupancySensing.Oc

## 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 attempt involving a sequence of window closure, door locking (potentially by intruder or automated bypass), and occupant movement patterns inconsistent with a standard departure/arrival.",
      "supported_by": [
        "[2026-06-04T22:46:23] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window closed at 22:46)",
        "[2026-06-04T22:46:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto) & DoorLock.LockState = 1 (Door locked automatically ~4 minutes after window closed)",
        "Occupancy signals show activity in living_room and entrance starting at 17:57, but no explicit 'leaving' event triggers before the late-night lock/window sequence."
      ],
      "contradicted_by": [
        "No motion detected in second_bedroom or bathroom during the critical late-night window (22:46) where the anomaly occurred, suggesting residents might be elsewhere or asleep.",
        "The lock operation is marked as 'Auto', which could indicate a scheduled routine rather than manual intervention, though the timing is suspicious relative to the window state."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard evening routine followed by an automated security arm/disarm cycle triggered by a smart scene that coincidentally includes closing blinds and locking doors.",
      "supported_by": [
        "High frequency of occupancy events in living_room and entrance between 18:00-18:18 suggests normal household activity/evening gathering.",
        "LockState=1 and Auto source are consistent with pre-set automation rules for securing the home at night."
      ],
      "c


第二人通过合法凭证解锁（不同UserIndex），且有合理时间间隔

Evidence indicates a likely break-in where the front door was manually locked at 18:12, immediately forced open (contact sensor triggered while locked), and an unknown occupant entered the entrance area before the resident returned.

Explanation: At 18:12:00, the front door lock was manually engaged, followed by the door contact sensor triggering 'False' (open) at 18:12:02 while the system recorded the door as locked, indicating forced entry or bypass.

Explanation: Immediately following the breach (18:12:03), occupancy sensors in the entrance lit up, confirming someone entered without normal access.

Explanation: The sequence contradicts a simple exit/entry scenario because the house interior (living room, bedrooms) was vacant from 18:00 to 18:16, yet an intruder accessed the home right after the owner supposedly secured it.

Contact local law enforcement immediately to report a potential burglary.

Check live video feeds for any footage of the suspect entering or inside the property.

Review smart lock logs for details on how the lock state changed relative to the physical contact sensor.

[2026-06-08T18:12:04] entrance_occupancy | OccupancySensing.Occupancy = 1 (Re-entry consistent)

[2026-06-08T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0 ... [18:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1 (12-minute total absence while resident was theoretically present at 17:57 and re-entering at 18:12 suggests a significant time gap inconsistent with simple transit unless they were outside for 12 minutes which contradicts the immediate 'manual lock' event timing relative to the last known internal presence)

Sequence: Manual Lock -> Door Contact Open -> Immediate Internal Occupancy Detection

Time Gap: Last confirmed internal occupancy at 17:57 vs First post-lock internal occupancy at 18:12 (15 mins missing while home status ambiguous)

Raw timestamp of 'front_door_contact' state change relative to 'LockOperation' to confirm if door was forced open before locking or unlocked after.

Motion detection logs for the hallway/transit area between 17:57 and 18:12 to see if the occupant actually exited.

Video footage (if available) or smart light strip logs for the entrance foyer during the 17:57-18:12 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: 两室一厅 (2BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- bathroom: 卫生间漏水传感器<water_leak_detector>, 卫生间灯<onoff_light>, 卫生间运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅温度传感器<temperature_sensor>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅落地灯<onoff_light>, 客厅运动传感器<occupancy_sensor>
- master_bedroom: 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bedroom: 次卧温度传感器<temperature_sensor>, 次卧灯<dimmable_light>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 492,
  "salient_event_count": 60,
  "focus_event_count": 109,
  "room_activity": {
    "kitchen": 27,
    "entrance": 30,
    "living_room": 41,
    "master_bedroom": 4,
    "second_bedroom": 4,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-08T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T22:06:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-08T18:12:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-08T22:06:29] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-08T17:57:26] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-08T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-08T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",

## 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 suspected due to a sequence where the front door was manually locked at 18:12, followed shortly by a transition from 'no occupancy' inside to 'occupancy detected' in the entrance and living room, suggesting an intruder bypassed or forced the lock.",
      "supported_by": [
        "[2026-06-08T17:57:26] entrance_occupancy | OccupancySensing.Occupancy = 1 (Initial presence)",
        "[2026-06-08T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-08T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-08T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-08T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-08T18:12:02] front_door_contact | BooleanState.StateValue = False (Door opened immediately after manual lock)",
        "[2026-06-08T18:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1 (Occupancy re-detected instantly after door open)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident left the house, secured it, then returned. The brief gap in internal sensors is due to rapid movement through transit zones (hallway/stairs) not triggering specific room sensors or sensor latency.",
      "supported_by": [
        "[2026-06-08T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual) (Consistent with leaving/securing)",
        "[2026-06-08T18:12:02] front_door_contact | BooleanState.StateValue = False (Door closed/open cycle normal for entry/exit)",
        "[2026-06-08T18:12:04] entrance_occupancy |


INS-05-FP: 住户换了新手机/手表解锁

The sequence represents a normal automated security routine where the system re-locks the door after detecting the occupant has vacated the entry area (or simply as part of an evening schedule), triggered by the window covering movement which may have been misinterpreted as an exit signal or coincidental environmental change.

Explanation: Occupancy logs show Master Bedroom occupancy was present at 22:44:12 but no subsequent 'entrance' or 'living_room' occupancy events followed immediately before the lock event, suggesting the user had already moved to another room or the sensor logic interpreted the window actuation as a state change requiring re-locking.

Explanation: The front door contact sensor shows a brief False state at 22:44:20 immediately preceding the Auto-Lock, indicating the door was physically opened (likely by a resident checking the status or passing through) and closed within seconds, rather than left ajar for escape.

Explanation: The timestamp gap between the window opening (22:44:16) and the auto-lock (22:44:21) is exactly 5 seconds, consistent with a standard 'delayed secure' timer or a direct trigger from the smart home hub reacting to the device state change, not an immediate panic response to an intruder.

[2026-06-18T22:44:12] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-18T22:44:20] front_door_contact | BooleanState.StateValue = True (Door closed)

Review camera footage for the 22:43-22:45 window to confirm if a person interacted with the blinds or if it was automated.

Verify if the 'master_bedroom_window' device supports motion detection or contact sensors that might have falsely triggered the automation rule.

[2026-06-18T17:57:06] living_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-18T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

Temporal proximity between Master Bedroom Window fully opening (22:44:16) and Front Door Auto-Locking (22:44:21).

Automatic lock operation source='Auto' coinciding with a window state change, which may indicate a security breach protocol triggered by a window sensor or a manual override misinterpreted as auto-lock.

WindowCovering value '10000' indicating 100% openness (100/100ths).

Check if the master_bedroom_window contact_sensor triggered an alarm state immediately before or during the window cover actuation.

Verify the identity of UserIndex=1 for the 20:19 manual lock operation to confirm if it is the expected homeowner.

Review camera feeds (if available) for the period 22:43-22:45 to see who or what interacted with the window coverings.

Check logs for any other sensor triggers on the master bedroom window (contact_sensor) around 22:44.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 554,
  "salient_event_count": 60,
  "focus_event_count": 99,
  "room_activity": {
    "kitchen": 18,
    "master_bedroom": 20,
    "entrance": 22,
    "living_room": 33,
    "second_bedroom": 3,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T20:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=8, UserIndex=1)",
    "[2026-06-18T22:44:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T22:44:16] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-18T22:44:21] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-18T17:56:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-18T17:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-18T17:57:06] 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": "Suspected unauthorized entry or forced exit event: Front door was locked at 20:19 (likely by resident), but the window covering in the master bedroom was raised to 100% (fully open) at 22:44, followed immediately by an automatic locking of the front door. This sequence suggests a potential breach where the intruder opened the window to escape after being detected, or the system reacted to a sensor trigger associated with the window state change.",
      "supported_by": [
        "[2026-06-18T22:44:16] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-18T22:44:21] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-18T22:44:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening routine involving multiple room transitions and occupancy checks without security incidents.",
      "supported_by": [
        "High frequency of occupancy events in living_room, entrance, and master_bedroom between 17:56 and 18:17 indicates active human presence and movement.",
        "Room activity counts show significant usage in kitchen, living_room, and master_bedroom."
      ],
      "contradicted_by": [
        "The specific timestamped correlation between the master bedroom window opening and the subsequent automatic door lock event at 22:44 deviates from standard passive routines.",
        "Suspicious_signals list explicitly flags the door lock and window events as anomalous."
      ]
    }
  ],
  "most_concerning_signals": [
    "Temporal proximity between Master Bedroom Window fully opening (22:44:1


开窗前住户先在同一房间活动并开灯，是主动行为

The system correctly reports zero occupancy for all rooms during the early morning hours (00:00–04:30), which is consistent with residents having left the house before midnight and returning later in the evening, as confirmed by door lock events.

Explanation: Analysis of raw logs confirms no motion or presence events occurred between 00:00 and 04:30, validating the 'Occupancy=0' readings across all sensors.

Explanation: Timestamps at 07:15 show a manual front-door unlock followed by an automatic re-lock sequence, indicating a standard morning departure routine after the occupants were away overnight.

Explanation: Timestamps at 22:11 confirm a return event where the front door was unlocked manually and then auto-locked, establishing that the house was indeed empty during the night hours in question.

Explanation: Temperature readings remain stable within a normal range (approx. 22-24 degrees) throughout the night, ruling out fire risks or equipment malfunction causing sensor drift.

[2026-06-18T00:00:00]... OccupancySensing.Occupancy = 0

[2026-06-18T07:15:25] front_door_lock | DoorLock.LockState = 2

[2026-06-18T07:15:34] front_door_lock | DoorLock.LockState = 1

[2026-06-18T16:25:00] front_door_lock | DoorLock.LockState = 2

Whether the occupancy sensors reset automatically at midnight or if a manual trigger occurred.

Correlation between the last manual front-door lock event and the first 'empty' occupancy reading.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1847,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 11,
    "living_room": 20,
    "master_bedroom": 16,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T07:15:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T07:15:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T16:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T17:42:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T22:11:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T07:15:25] front_door_lock | DoorL

## 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": "Standard evening departure sequence: Residents manually lock the front door upon exiting, and the system auto-locks it shortly after to secure the home.",
      "supported_by": ["[2026-06-18T07:15:25]... Manual Lock", "[2026-06-18T07:15:34]... Auto Lock (9s delay)", "[2026-06-18T16:25:00]... Manual Lock -> State 2", "[2026-06-18T22:11:19]... Auto Lock"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Unusual occupancy pattern suggesting a 'ghost' or sensor malfunction during late-night hours, as all rooms report zero occupancy for over two consecutive hours despite no explicit timestamp indicating total house emptying at that specific time relative to activity logs.",
      "supported_by": ["[2026-06-18T00:00:00]... All rooms Occupancy=0", "[2026-06-18T00:30:00]... All rooms Occupancy=0"],
      "contradicted_by": ["High room activity count in master_bedroom (16) and living_room (20) might imply presence earlier in the night, but the log snippet starts at 00:00. If residents were awake later, this is suspicious. However, if they left by 23:00, this is normal."],
      "severity_note": "Ambiguous without full timeline context of when occupants actually left."
    }
  ],
  "most_concerning_signals": [
    "Simultaneous zero occupancy across ALL monitored rooms (Living, Master, Second Bed, Bath, Entrance) starting exactly at 00:00:00 and persisting through 00:30:00.",
    "The abruptness of the state change to 'empty' at midnight compared to typical gradual transitions."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of the last motion detection event in each room prior to 00:00:00 to determine actual departure time.",
    "Whether the occ


开窗前住户先在同一房间活动并开灯，是主动行为

The sequence of events indicates a normal resident arrival where the door was manually locked while still open (likely due to sensor latency or user habit), followed by a continuous, uneventful evening routine.

Explanation: The 'lock' event at 18:08:00 occurred before the door contact changed state at 18:08:02, but occupancy sensors confirmed immediate presence inside at 18:08:03, ruling out a successful tailgate or intrusion.

Explanation: Occupancy logs show a single, continuous presence in the entrance and living room from 18:07 to 22:14, with no gaps suggesting unauthorized exit or re-entry.

Explanation: The automatic lock at 22:14:37 immediately following the door closing confirms a standard departure routine for the legitimate occupant.

[2026-06-05T18:08:03] entrance_occupancy | OccupancySensing.Occupancy = 1 (Confirms resident was already inside when lock command was issued)

[2026-06-05T22:14:37] front_door_lock | LockOperation(LockOperationType=0...Auto) (Confirms standard automated exit protocol)

Review device firmware to check if manual locking can be disabled until the door is fully closed to prevent future confusion.

No immediate security intervention required.

[2026-06-05T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Resident arrived home, entered the house, and settled into the living room.",
      "supported_by": ["[2026-06-05T18:08:02] front_door_contact | BooleanState.StateValue = False" (Door opened), "[2026-06-05T18:08:03] entrance_occupancy | OccupancySensing.Occupancy = 1" (Occupant detected immediately after entry), "[2026-06-05T18:15] living_room_occupancy | OccupancySensing.Occupancy = 1" (Moved to living room shortly after arrival)],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Possible 'tailgating' or unauthorized re-entry attempt followed by a legitimate exit/lock sequence.",
      "supported_by": ["[2026-06-05T18:08:00] front_door_lock | LockOperation(LockOperationType=1...Manual)" (Manual lock attempt at exact minute start of sequence), "[2026-06-05T18:08:02] front_door_contact | StateValue = False" (Door open while occupant is already inside based on occupancy sensor trigger at :03)", "[2026-06-05T22:14:37] front_door_lock | LockOperation(LockOperationType=0...Auto)" (Automatic lock later in evening, suggesting a standard departure routine)"],
      "contradicted_by": ["[2026-06-05T18:08:03] entrance_occupancy | OccupancySensing.Occupancy = 1" (Immediate occupancy confirms someone was physically present right after the door opened, making a ghost-tailgate less likely than a normal entry with a delayed manual lock check or a glitched log timestamp relative to the physical event.)]
    }
  ],
  "most_concerning_signals": [
    "Temporal overlap between Manual Lock Operation (18:08:00) and Door Opening (18:08:02) suggests the user may have locked the door before fully entering or the system registered a lock command prematurely.",
    "Rapid transition from Entrance Occupancy -> Living Room Occupancy within seconds indicates a single continuous movement vector consistent with normal entry, which contradicts the suspicion of multiple people or loitering."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamp precision difference between the 'LockOperation' event and the 'ContactSensor' state change to determine if the manual lock was attempted while the door was still closing/opening.",
    "Motion sensor trajectory data (if available) to confirm the occupant moved directly from the entrance hallway to the living room without lingering in the doorway.",
    "System clock synchronization logs to rule out timestamp drift causing the apparent simultaneity of the lock and door-open events."
  ],
  "provisional_risk": "low"
}

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 494,
  "salient_event_count": 60,
  "focus_event_count": 106,
  "room_activity": {
    "kitchen": 25,
    "entrance": 30,
    "living_room": 40,
    "master_bedroom": 4,
    "second_bedroom": 4,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T18:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T22:14:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T18:08:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-05T22:14:37] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-05T17:57:24] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-05T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-05T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",

## 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": "normal",
      "description": "Resident arrived home, entered the house, and settled into the living room.",
      "supported_by": ["[2026-06-05T18:08:02] front_door_contact | BooleanState.StateValue = False" (Door opened), "[2026-06-05T18:08:03] entrance_occupancy | OccupancySensing.Occupancy = 1" (Occupant detected immediately after entry), "[2026-06-05T18:15] living_room_occupancy | OccupancySensing.Occupancy = 1" (Moved to living room shortly after arrival)],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Possible 'tailgating' or unauthorized re-entry attempt followed by a legitimate exit/lock sequence.",
      "supported_by": ["[2026-06-05T18:08:00] front_door_lock | LockOperation(LockOperationType=1...Manual)" (Manual lock attempt at exact minute start of sequence), "[2026-06-05T18:08:02] front_door_contact | StateValue = False" (Door open while occupant is already inside based on occupancy sensor trigger at :03)", "[2026-06-05T22:14:37] front_door_lock | LockOperation(LockOperationType=0...Auto)" (Automatic lock later in evening, suggesting a standard departure routine)"],
      "contradicted_by": ["[2026-06-05T18:08:03] entrance_occupancy | OccupancySensing.Occupancy = 1" (Immediate occupancy confirms someone was physically present right after the door opened, making a ghost-tailgate less likely than a normal entry with a delayed manual lock check or a glitched log timestamp relative to the physical event.)]
    }
  ],
  "most_concerning_signals": [
    "Temporal overlap between Manual Lock Operation (18:08:00) and Door Opening (18:08:02) suggests the user may have locked the door before fully entering or the system registered a lock command prematurely.",
    "Rapid


第二人通过合法凭证解锁（不同UserIndex），且有合理时间间隔

The synchronized occupancy sensor readings of zero across all zones during early morning hours are contradicted by a continuous and logical rise in ambient temperature, indicating the presence of occupants (likely sleeping) rather than an empty house.

Explanation: Occupancy sensors reported '0' for all rooms between 00:00 and 05:30, suggesting an empty house state.

Explanation: Simultaneously, temperature sensors recorded a steady increase from ~22°C to ~24.5°C (values like 2392, 2425, 2463), which is physically impossible if no humans were generating body heat in those rooms overnight.

Explanation: The combination of false negative occupancy data and realistic thermal dynamics confirms the occupancy sensors are malfunctioning or stuck at zero, not that the house is unoccupied.

[2026-06-20T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392

[2026-06-20T04:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2425

[2026-06-20T05:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2434

Immediately schedule maintenance to inspect and calibrate all zone occupancy sensors.

Verify camera footage around 01:00-05:00 to visually confirm residents are present and sleeping.

Review system logs for firmware updates or connectivity issues affecting the occupancy sensor nodes during the night.

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

Check for front_door_contact_sensor state change between 23:59 and 00:00 to confirm if the user actually exited the home.

Verify if the front_door_lock was unlocked before 00:00 to rule out an intruder entering after a failed previous attempt.

Inspect temperature sensor logs to see if ambient temperatures dropped significantly in unoccupied rooms, confirming lack of HVAC usage consistent with vacancy.

Review camera footage (if available) around 23:30-00:15 to visually confirm empty rooms vs. sleeping occupants.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1394,
  "salient_event_count": 60,
  "focus_event_count": 88,
  "room_activity": {
    "kitchen": 14,
    "living_room": 25,
    "master_bedroom": 12,
    "second_bedroom": 12,
    "bathroom": 12,
    "entrance": 13
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-20T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
    "[2026-06-20T18:11:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=2)",
    "[2026-06-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] ent

## 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": "Routine household activity with standard entry/exit patterns and nighttime vacancy.",
      "supported_by": ["Multiple occupancy events in kitchen, living_room, master_bedroom, second_bedroom, bathroom, entrance indicate daytime usage.", "Timestamped lock operations at 18:06 and 18:11 suggest normal arrival/departure sequence."],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential 'empty house' state during early morning hours (00:00 - 01:30) where all rooms simultaneously report zero occupancy without a confirmed exit event.",
      "supported_by": ["suspicious_signals shows synchronized Occupancy = 0 across ALL monitored zones (living_room, master_bedroom, second_bedroom, bathroom, entrance) at 00:00, 00:30, 01:00, and 01:30.", "Total room_activity counts show significant presence earlier in the day, making the sudden total void suspicious if not accompanied by a door unlock/opening event prior to 00:00."],
      "contradicted_by": ["Absence of explicit door_open or door_close events immediately preceding the first 00:00 reading in the provided snippet (though logs may be truncated)."]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check for front_door_contact_sensor state change between


CH-05-FP: 孩子安静写作业后正常活动

虽然安静了1.5小时，但之后正常起身活动去了其他房间，说明只是在专注写作业

The system logs confirm standard household activity with no unauthorized access or security breaches; the 'Auto' lock events are triggered by residents entering and leaving the entryway.

Explanation: Occupancy sensors at the entrance (entrance_occupancy) transition from 0 to 1 immediately preceding and following manual lock/unlock operations, confirming physical presence of a resident inside the home boundary during these events.

Explanation: The sequence at 07:20:23 shows a manual unlock, followed instantly by occupancy detection (07:20:26), and then an auto-lock. This indicates a resident opened the door, stepped onto the porch/sensor zone (triggering occupancy), and the smart-lock auto-locked them out upon detecting their absence from the immediate interior/exterior threshold, which is normal behavior for automated locks.

Explanation: Temperature readings show a steady drift consistent with environmental changes rather than sudden spikes indicative of fire or gas leaks, and all room occupancy sensors remain at 0 until expected wake-up times later in the morning.

[2026-06-30T07:20:26] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-30T15:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-30T17:47:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-30T22:23:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-30T06:48:13] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-30T07:20:23] front_door_lock | DoorLock.LockState = 2

[2026-06-30T07:20:26] front_door_lock | DoorLock.LockState = 1

Check if the 'Auto' lock event at 07:20:26 was triggered by a motion sensor inside (implying someone entered and left quickly) or a timer.

Verify GPS/location data associated with the Mobile App user at 07:20:23 to confirm if they were physically present or remotely controlling the lock.

Check camera feeds (if available) or doorbell logs for the exact minute around 07:20 to see who approached the door.

Correlate the 'Kids Room Window' state change with any audio anomalies or occupancy spikes in that room.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 2299,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 8,
    "living_room": 13,
    "dining_room": 7,
    "master_bedroom": 12,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 7,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T07:20:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T07:20:26] front_door_lock | Event: LockOp

## 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 'Backdoor Entry' or Unauthorized Access via Front Door while house is empty.",
      "supported_by": ["suspicious_signals[0]: Manual lock unlock at 07:20:23 followed by Auto lock at 07:20:26 (3s gap)", "suspicious_signals[1]: Manual lock unlock at 15:57:00 and 17:47:00", "room_activity: entrance has highest activity count (22) compared to bedrooms/kitchen", "temperature_patterns[]: Empty temperature readings suggest no occupancy sensors triggered thermal changes"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Household routine involving children waking up, opening curtains, and residents leaving/entering normally.",
      "supported_by": ["suspicious_signals[2]: Kids room window opened (position 10000) at 07:20:26 shortly after front door interaction", "suspicious_signals[3]: Master bedroom window opened later in evening", "suspicious_signals[4-9]: Standard manual locking/unlocking patterns during day"],
      "contradicted_by": ["The specific sequence of Unlock->AutoLock within 3 seconds is highly unusual for a resident manually operating the door unless it's a specific smart-lock glitch or remote trigger not logged as 'Manual'", "High concentration of events at entrance suggests someone lingering outside or frequent re-entry attempts"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-30T07:20:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T07:20:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "Gap between kids_room_window opening and front_door_lock events"
  ],
  "what_to_verify_in_raw_log": [
    "Check if the 'Auto' lo


BA-02-FP: 住户周末改变习惯早起做饭

住户先从卧室起床再去厨房（正常路径），虽然时间段不同寻常但行为模式是住户自己

The front door lock automatically unlocked while the house was unoccupied in common areas and window coverings were opened, a sequence inconsistent with standard 'away' mode routines or user presence.

Explanation: Occupancy logs show the living room and dining room were empty (0) between 18:00 and 21:00, indicating the household had vacated public spaces after locking up at 18:07.

Explanation: At 22:38, window coverings in private bedrooms were fully opened simultaneously, followed immediately by the front door contact opening and the lock state changing to 'unlocked' via an 'Auto' source.

Explanation: This sequence contradicts typical automated safety protocols (which usually secure windows/doors when no one is home) and suggests either a logic error in the smart home automation script or a compromised device acting autonomously.

[2026-06-05T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-05T22:38:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

Manually verify the physical status of the front door and all windows to ensure they are securely closed.

Review smart home automation schedules for any recent changes to 'day/night' or 'vacation' modes that might trigger this sequence.

Check the battery levels and firmware status of the front door lock and window motor controllers to rule out sensor drift or actuator failure.

[2026-06-05T18:07:00] front_door_lock | DoorLock.LockState = 2

[2026-06-05T17:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-05T17:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1

The manual locking at 18:07 followed by an auto-unlock 4+ hours later without explicit user interaction logs in between is inconsistent with typical home routines unless pre-programmed, which usually doesn't involve sequential window opening in sleeping quarters before unlocking the main door from the outside logic perspective.

Simultaneous full opening of window coverings in private bedrooms (kids_room, master_bedroom) shortly before the front door lock state changed to 'unlocked'.

Front door lock state change from 'Locked' to 'Unlocked' occurring via 'Auto' source 4 hours after a 'Manual' lock, with no intermediate occupancy events in public spaces.

High concentration of activity in entrance/master_bedroom/kids_room compared to other rooms, yet lack of corresponding motion sensor data in connecting areas (dining/living) during the critical evening hours.

Raw timestamped logs for 'front_door_lock' between 18:07 and 22:38 to check for any hidden unlock attempts, keypad entries, or smart lock battery/power anomalies.

Motion sensor logs for 'entrance', 'living_room', and 'dining_room' specifically between 21:00 and 22:40 to confirm if anyone physically moved through these zones.

Logs for 'window_covering' motors in kitchen, bathroom, and second_bedroom to see if only specific windows were opened or if it was a global command.

Network connectivity logs for the smart lock and window covering devices to rule out remote command hijacking.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 703,
  "salient_event_count": 60,
  "focus_event_count": 88,
  "room_activity": {
    "kitchen": 12,
    "master_bedroom": 13,
    "entrance": 17,
    "kids_room": 12,
    "dining_room": 11,
    "living_room": 19,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T22:38:31] front_door_lock | Event: LockOp

## 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 or forced exit event: The front door was manually locked at 18:07, but later automatically unlocked and the lock state changed to 'unlocked' (1) at 22:38:31, immediately preceded by window coverings being fully opened in the kids' room and master bedroom. This sequence suggests a potential breach where someone entered, manipulated locks/windows, and exited, or an automated system failure mimicking intrusion.",
      "supported_by": [
        "[2026-06-05T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-05T22:38:31] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-05T22:38:24] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-05T21:08:06] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "No occupancy events recorded in living_room or dining_room between 18:00 and 22:38 after initial departure, suggesting no one was moving through common areas during the suspicious window opening times."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled maintenance or automation routine: Windows were opened for ventilation, and the door lock cycle represents a standard day/night transition protocol.",
      "supported_by": [
        "Window coverings opened in multiple rooms simultaneously.",
        "Door lock operation source listed as 'Auto' at 22:38:31."
      ],
      "contradicted_by": [
        "The manual locking at 18:07 followed by an auto-unlock 4+ hours later without explicit user interaction logs in between is inconsistent with typical home routines