伪装开锁（被盗/复制凭证）

中等可信度警报，建议住户确认是否本人操作

An unknown entity (OperationSource=8) unlocked the front door at 18:25 while multiple interior sensors simultaneously detected occupancy, indicating a potential unauthorized entry or compromised credential.

Explanation: At 16:24 and 18:00, manual locks were performed by standard sources, establishing a baseline for normal resident activity.

Explanation: At 18:25, an anomalous 'Unlock' event occurred with 'OperationSource=8', which is distinct from previous manual operations and implies a non-resident source or automated exploit.

Explanation: Immediately following this unlock (within seconds), occupancy sensors in the entrance, dining room, kids' room, and master bedroom all registered as '1', suggesting someone physically entered and distributed themselves through the house without triggering a standard alarm response.

Explanation: The lack of prior failed authentication attempts in the provided log suggests the credential used was either stolen, shared, or bypassed successfully.

[2026-06-03T18:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=8, UserIndex=1)

[2026-06-03T18:25:03] entrance_occupancy | OccupancySensing.Occupancy = 1

Immediately change the smart lock credentials and review access logs for any other instances of Source ID 8.

Alert household members to secure valuables and verify if anyone else has entered since 18:25.

Contact local authorities to report a potential burglary attempt if occupants are not present.

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

[2026-06-03T22:20:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-03T16:24:00] front_door_lock | DoorLock.LockState = 2

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

[2026-06-03T21:01:04] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-03T22:20:21] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

No subsequent alarm events or rapid movement to secure locations (like master bathroom with leak sensor) recorded in salient signals immediately after unlock.

Simultaneous occupancy detection in Kids Room, Master Bedroom, Dining Room, and Entrance between 18:25 and 19:00.

Verify identity of 'UserIndex=1' and if 'OperationSource=8' corresponds to a known authorized service account, guest, or unknown entity.

Check camera feeds (if available) or motion vector data between 18:20 and 18:40 to see if anyone physically entered after the unlock.

Correlate lighting state changes (living_room lights, hallway lights) immediately following the 18:25 unlock to determine if lights were turned on automatically or manually by a new occupant.

Check audit logs for any failed authentication attempts prior to the successful unlock at 18:25.

## 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: 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": 1325,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 13,
    "dining_room": 13,
    "kids_room": 15,
    "entrance": 21,
    "master_bedroom": 15,
    "living_room": 14,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-03T16:24:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-03T18:00:00] front_door_lock | Event: Lock

## 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 'Burglary Attempt' or 'Forced Entry': A sequence where the front door is manually unlocked (likely by an intruder) while interior sensors (kids_room, master_bedroom, dining_room, entrance) simultaneously detect occupancy.",
      "supported_by": ["[2026-06-03T18:25:00] front_door_lock | Event: LockOperation... OperationSource=8, UserIndex=1 (Unusual source ID)", "[2026-06-03T18:25:00] - T+25min later, multiple interior zones show occupancy (kids, master, dining, entrance)", "Timing correlation: Unlocked door precedes widespread room activation."],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Family returning home and settling in: Residents unlock the door and move through various rooms (kitchen, dining, bedrooms).",
      "supported_by": ["[2026-06-03T16:24:00] & [18:00:00] Manual locks (Locking state 2)", "Occupancy spikes in common areas (dining, entrance, kitchen) around 11:57-12:06 suggest arrival.", "Window coverings pulled down at 22:20 suggests evening routine."],
      "contradicted_by": ["OperationSource=8 for unlock at 18:25 is non-standard for a typical household member (usually Owner/Resident IDs like 1-4)."]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Privacy Violation / Unauthorized Access: Someone accessed the house via a compromised smart lock credential (UserIndex=8) without triggering a standard alarm or immediate mass evacuation response from occupants.",
      "supported_by": ["Unlock event at 18:25 uses 'OperationSource=8', distinct from manual user operations.", "No subsequent alarm events or rapid movement to secure locations (like master bathroom with leak sensor) recorded i


伪装开锁（被盗/复制凭证）

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

中等可信度警报，建议住户确认是否本人操作

The log indicates a normal evening routine where occupants were present inside the house (Master Bedroom) while the front door was auto-locked from the outside upon exit, with no signs of intrusion or sensor malfunction.

Explanation: Occupancy sensors show consistent presence in private rooms (Master Bedroom) and dining areas during the evening sequence, indicating family members remained inside after others left.

Explanation: At 22:11:27, the front door contact sensor registered 'Closed' (True) immediately before the automated lock command at 22:11:28, ruling out an open door entry attempt.

Explanation: The state transition to '1' (Unlocked/Open) reported in the hypothesis analysis corresponds to the standard smart-lock behavior of reporting the latch release status before re-engaging, not a forced breach.

Explanation: Window coverings closed manually in the Kids Room earlier (20:46) and Master Bedroom later (22:11) align with standard user actions for sleep preparation.

[2026-06-22T22:11:27] front_door_contact | BooleanState.StateValue = True

[2026-06-22T22:11:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

No immediate action required; system is functioning normally.

Optional: Review automation rules if frequent manual overrides of window blinds are desired.

[2026-06-22T17:54:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-22T19:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=8, UserIndex=1)

[2026-06-22T16:13:00] front_door_lock | DoorLock.LockState = 2

[2026-06-22T17:54:00] front_door_lock | DoorLock.LockState = 2

Rapid sequence at 22:11: Master bedroom blinds closed -> Front door auto-locked -> Front door state changed to unlocked/open (state 1).

Timestamps and sources for window covering motor commands in kids_room and master_bedroom to distinguish between manual app control vs. automation rules.

Motion sensor logs for living_room and hallway during the 22:11 sequence to determine if anyone exited the house before the auto-lock triggered.

Door lock state history between 22:11:19 and 22:11:28 to clarify if the transition from State 2 (Locked) to State 1 (Unlocked/Open) represents a forced entry attempt or a system reset glitch.

User session logs for UserIndex=1 around 19:19 to confirm identity and location prior to the evening events.

## 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: 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": 1328,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 12,
    "master_bedroom": 15,
    "dining_room": 13,
    "entrance": 23,
    "kids_room": 15,
    "living_room": 13,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T16:13:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T17:54:00] front_door_lock | Event: Lock

## 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": "Simultaneous occupancy in multiple private rooms (Master Bedroom, Dining Room, Entrance) suggests a family gathering or unexpected guests.",
      "supported_by": ["[2026-06-22T11:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-22T11:55:02] dining_room_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-22T11:55:26] entrance_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard evening routine: Front door locked manually, followed by automated locking shortly after occupants depart.",
      "supported_by": ["[2026-06-22T16:13:00] front_door_lock | Event: LockOperation(..., OperationSource=Manual)", "[2026-06-22T22:11:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-22T22:11:28] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Window coverings (blinds/curtains) were fully closed (100%) in the Kids Room and Master Bedroom at 22:11, coinciding with the front door auto-lock event.",
      "supported_by": ["[2026-06-22T20:46:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-22T22:11:19] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-22T22:11:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Simultaneous detection of people in Master Bedroom, Dining Room, and Entrance at 11:55-11:56.",
    "Rapid sequence at 22:11: Master bedro


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

Automated front door unlocking occurred immediately after bedroom windows were opened at night, a pattern inconsistent with standard resident behavior and highly indicative of an intrusion attempt or automated exploit.

Explanation: Residents were confirmed present in the home late into the evening (occupancy sensor active in master_bedroom at 22:47:07).

Explanation: At 22:47:10-22:47:12, bedroom windows were fully opened while occupants were still inside, which is atypical for bedtime routines unless preparing to leave.

Explanation: Immediately following the window events, the front door contact changed state (opened) and the lock automatically unlocked (OperationSource=Auto) at 22:47:14, suggesting a trigger sequence rather than manual user action.

Explanation: The rapid succession of 'open windows' -> 'door open' -> 'auto-unlock' within seconds indicates a coordinated sequence likely designed to gain access without physical force on the door.

[2026-06-18T22:47:10] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-18T22:47:13] front_door_contact | BooleanState.StateValue = True

[2026-06-18T22:47:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-18T22:47:07] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Secure the premises immediately by changing all smart lock PINs and codes.

Review camera footage specifically around 22:47 to identify if anyone entered via the windows or if the automation was triggered remotely.

Check HVAC logs for temperature drops in bedrooms to confirm ventilation changes aligned with the window opening event.

Temporarily disable any 'Goodnight' or 'Away' automation routines that might involve window/door interactions until investigated.

[2026-06-18T18:11:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-18T16:10:00] front_door_lock | DoorLock.LockState = 2

[2026-06-18T18:11:00] front_door_lock | DoorLock.LockState = 2

[2026-06-18T21:14:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-18T22:47:14] front_door_lock | DoorLock.LockState = 1

Check for motion sensor triggers in the hallway or near the front door between 22:47:00 and 22:48:00 to confirm if anyone entered after the auto-unlock.

Verify the source ID/User Agent for the automatic lock unlock event at 22:47:14; determine if it was triggered by a smart-home routine (e.g., 'Goodnight' mode) or an external signal.

Correlate temperature changes in the kids_room and master_bedroom around 22:47 to see if HVAC adjusted when windows were opened.

Review camera footage (if available) or specific doorbell logs for the exact timestamp of the 22:47:14 unlock to rule out physical tampering.

## 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: 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": 1316,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "dining_room": 12,
    "entrance": 20,
    "kids_room": 14,
    "master_bedroom": 16,
    "living_room": 15,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T16:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T18:11:00] front_door_lock | Event: Lock

## 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": "normal",
      "description": "Residents are entering and moving through the home during mid-day hours (approx. 12:00 PM), with activities distributed across dining, entrance, kids' room, master bedroom, and living areas.",
      "supported_by": ["Occupancy events in dining_room, entrance, kids_room, master_bedroom starting at 11:56 AM", "Front door lock operations at 16:10 and 18:11 indicating entry/exit", "Room activity counts show significant presence in Kitchen (12), Dining (12), Entrance (20), Kids (14), Master Bed (16), Living (15)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential security breach or unauthorized access attempt via automated window opening/closing combined with door locking patterns that do not align with a single continuous human presence.",
      "supported_by": ["Kids room window fully open (100%) at 22:47:10", "Master bedroom window fully open (100%) at 22:47:12", "Front door unlocked automatically at 22:47:14 immediately after windows opened", "Lack of occupancy sensor triggers in Living Room or other common areas between 11:56 AM and 12:06 AM despite high room activity counts later suggests possible 'ghost' activity or delayed reporting, though raw logs show occupancy spikes around 12:00-12:06"],
      "contradicted_by": ["High occupancy counts in multiple rooms (Dining, Entrance, Kids, Master Bed) from 11:56 AM to 12:06 AM suggest legitimate residents were present and active before the late-night window events", "Standard manual locking at 16:10 and 18:11 followed by state confirmation suggests normal user control"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-18T22:47:10] master_bedroom_window | WindowCovering.CurrentPositi


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

触发入侵警报，通知住户，记录事件

The rapid sensor triggers represent a systematic house sweep by residents prior to departure, confirmed by subsequent normal activities (cooking) and the logical sequence of closing windows and locking the door.

Explanation: The initial burst of occupancy sensors between 17:58 and 18:09 shows a repeating pattern across multiple time blocks (e.g., 17:57-18:09, 18:02-18:14), indicating repeated passes rather than a single forced entry or glitch.

Explanation: Normal household behavior resumed immediately after the first sweep, evidenced by kitchen lights turning on at 18:29 and the cook surface activating at 18:30, proving no intrusion occurred.

Explanation: The final sequence from 20:59 to 22:29 follows a logical 'leave home' protocol: closing window coverings in sleeping areas followed immediately by the front door contact triggering and automatic locking.

[2026-06-04T18:29:00] kitchen_light | OnOff.OnOff = True

[2026-06-04T18:30:00] kitchen_cook_surface | OnOff.OnOff = True

[2026-06-04T22:29:16] front_door_lock | Event: LockOperation(... OperationSource=Auto)

No action required; system is operating normally.

Verify that the automatic lock routine is functioning as intended for future departures.

[2026-06-04T20:59:07] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-04T22:29:09] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-04T22:29:16] front_door_lock | DoorLock.LockState = 1

[2026-06-04T17:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-04T17:57:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-04T17:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-04T17:58:06] dining_room_occupancy | OccupancySensing.Occupancy = 1

High concentration of activity in master bathroom and kids room later in the sequence seems unusual if leaving immediately.

Timestamps and duration of light/dimmer changes in each room to distinguish between quick passes vs. deliberate checks.

Source of the window covering commands (manual app control, voice assistant, or automated routine).

Motion sensor data (velocity/dwell time) to confirm if the rapid occupancy spikes corresponded to actual human footsteps or static sensor glitches.

Thermostat/Air conditioner setpoint changes around 20:59-22:30 to see if heating/cooling was adjusted for departure.

## 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": 756,
  "salient_event_count": 60,
  "focus_event_count": 84,
  "room_activity": {
    "kitchen": 11,
    "master_bedroom": 11,
    "master_bathroom": 9,
    "entrance": 12,
    "dining_room": 9,
    "living_room": 17,
    "kids_room": 13,
    "second_bedroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-04T22:29:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T20:59:07] kids_room_window | WindowCovering.

## 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": "Rapid sequential activation of all rooms within a short timeframe suggests either a 'house tour' check, a system reset, or potentially forced entry simulation/testing rather than organic daily living.",
      "supported_by": [
        "Multiple occupancy sensors triggered in rapid succession across almost every room (Entrance -> Dining -> Living -> Kids -> MasterBed -> MasterBath) between 17:58 and 18:08.",
        "Window coverings in both Kids Room and Master Bedroom were adjusted to 100% (fully closed) at 20:59 and 22:29 respectively.",
        "Front door was locked automatically at 22:29."
      ],
      "contradicted_by": [
        "Second bedroom occupancy remained at 0 throughout the sequence, suggesting not everyone moved simultaneously through the house.",
        "No motion events reported for other devices like lights or thermostats in the provided log snippet, which might be expected during a full house sweep."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents performed a systematic security check of the home before leaving, closing windows/curtains and verifying presence in key areas.",
      "supported_by": [
        "Curtains/Windows fully closed in sleeping areas shortly after evening onset (20:59, 22:29).",
        "Door locked automatically at 22:29 immediately after the final movement in the log.",
        "Room-by-room movement pattern is consistent with someone walking through to ensure everything is secure."
      ],
      "contradicted_by": [
        "The speed and lack of dwell time implied by sensor triggers could indicate automated scanning rather than human movement.",
        "High concentration of activity in master bathroom an


住户外出期间（门锁显示已锁+无人在家）窗户被打开
随后出现多房间运动信号
入侵者未使用门锁（无 LockOperation 事件）

触发入侵警报，通知住户，建议报警

All manual locking events occurred immediately after verified occupancy triggers in common areas, confirming resident presence and normal departure behavior.

Explanation: Occupancy sensors for the dining room and kids' room triggered at 16:15 and 18:17 respectively, providing a valid source for the manual lock operations at 16:17 and 18:20.

Explanation: The door contact sensor confirmed the front door was closed (State=1) immediately after the manual lock command in both instances, ruling out locking an open door or unauthorized entry via tailgating.

Explanation: The sequence of 'Manual Lock' followed quickly by 'Auto Lock' matches the expected pattern of residents securing their home upon leaving work/school, contradicting the hypothesis of an empty house.

[2026-06-24T16:15:03] dining_room_occupancy | OccupancySensing.Occupancy = 1

Continue standard monitoring; no intervention required.

Log this activity as a confirmed routine event for household members.

[2026-06-24T07:27:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-24T22:48:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-24T06:37:05] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

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

[2026-06-24T07:27:29] front_door_lock | DoorLock.LockState = 1

The sequence of events shows manual locking followed by auto-locking, but the timing relative to occupancy gaps raises suspicion of an intruder entering after the last legitimate occupant left.

Timestamps of motion sensor triggers in the entrance hallway immediately preceding the 16:17 and 18:20 lock events.

Door contact sensor state transitions to ensure the door was actually closed before being locked.

History of 'Manual' lock operations to determine if this behavior is a new anomaly or established pattern for specific family members.

Activity logs for the kitchen and bathrooms between 15:00 and 19:00 to rule out residents leaving briefly without triggering motion sensors.

## 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": 2297,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 16,
    "dining_room": 8,
    "master_bedroom": 10,
    "second_bedroom": 7,
    "kids_room": 14,
    "master_bathroom": 8,
    "entrance": 19
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-24T07:27:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T07:27:29] 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": "Suspected unauthorized entry or 'tailgating' event where the front door was locked manually while occupants were reportedly absent from the main living areas (Living Room, Dining Room, Master Bedroom).",
      "supported_by": [
        "[2026-06-24T16:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-24T18:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-24T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-24T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents are at work/school during daytime hours (16:00 - 18:00), locking doors manually upon arrival and departure, resulting in zero occupancy readings in common areas.",
      "supported_by": [
        "[2026-06-24T16:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-24T18:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Manually locking the front door at 16:17 and 18:20 while multiple major rooms report 0% occupancy simultaneously, suggesting no resident is present to perform this action naturally.",
    "The sequence of events shows manual locking followed by auto-locking, but the timing relative to occupancy gaps raises suspicion of an intruder entering after the last legitimate occu


触发安全警报，临时禁用 Keypad 输入，通知住户

The front door lock experienced repeated operational failures followed by an alarm state, indicating a high-probability mechanical or electronic malfunction rather than a confirmed unauthorized entry.

Explanation: Multiple consecutive 'LockOperationError' events occurred within a short timeframe (19:11:00 to 19:11:40) from the same source, suggesting a failure mode rather than intermittent user error.

Explanation: A subsequent 'DoorLockAlarm' event was triggered at 19:11:50, confirming the system detected a critical breach attempt or lockout condition.

Explanation: Occupancy sensors remained at zero during the morning hours but temperature readings show a consistent drop in the evening, consistent with an empty house where no one is present to manually intervene with the failing lock.

Immediately dispatch a technician to inspect and repair/replace the front door lock mechanism.

Temporarily secure the entrance with a portable lock until professional service arrives.

[2026-06-13T19:11:15] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)

[2026-06-13T19:11:25] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)

[2026-06-13T19:11:40] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)

[2026-06-13T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T12:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Front door lock is experiencing repeated mechanical or electronic failure, escalating to an alarm state.",
      "supported_by": [
        "Multiple consecutive LockOperationError events from source 3 at 19:11:00, 19:11:15, 19:11:25, and 19:11:40.",
        "Subsequent DoorLockAlarm event at 19:11:50 indicating the system detected a critical security breach attempt or lockout."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "House was empty during the morning hours (approx. 12:00-13:00).",
      "supported_by": [
        "Simultaneous occupancy=0 reports across all major rooms (living_room, dining_room, bedrooms, entrance) at 12:00:00 and 12:30:00."
      ],
      "contradicted_by": [
        "Room activity counts show 8 events each in master_bedroom, second_bedroom, kids_room, and master_bathroom between 12:00-13:00, which contradicts total vacancy if those events were motion-based presence detections."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential unauthorized entry or tampering with the front door while the house appears occupied later in the day (based on activity distribution), given the lock failure pattern.",
      "supported_by": [
        "High concentration of activity in kitchen (9), living_room (16), and entrance (13) suggests recent human presence.",
        "The sequence of lock errors followed by an alarm typically precedes or accompanies an attempted forced entry or keying issue."
      ],
      "contradicted_by": [
        "No specific timestamp provided for the 'active' period relative to the lock failure at 19:11; the active room counts are aggregate for the 12-hour window, not a snapshot."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-13T19:11:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-13T19:11:50] front_door_lock | Event: DoorLockAlarm(AlarmCode=3)"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps and values of sensor readings in 'entrance', 'kitchen', and 'living_room' immediately after 19:11:50 to determine if anyone entered.",
    "The identity of 'OperationSource=3' to see if it corresponds to a known user, a smart device, or an unknown entity.",
    "Door contact sensor status history around 19:11 to verify if the door was physically opened/closed during the error sequence.",
    "Activity logs for 'master_bedroom', 'kids_room', etc., specifically between 12:00 and 13:00 to resolve the contradiction between zero occupancy sensors and non-zero activity counts."
  ],
  "provisional_risk": "high"
}
```

## 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: 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": 753,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 9,
    "living_room": 16,
    "dining_room": 8,
    "master_bedroom": 8,
    "second_bedroom": 8,
    "kids_room": 8,
    "master_bathroom": 8,
    "entrance": 13
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-13T19:11:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-13T19:11:15] front_door_lock | Event: LockOperatio

## 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
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Front door lock is experiencing repeated mechanical or electronic failure, escalating to an alarm state.",
      "supported_by": [
        "Multiple consecutive LockOperationError events from source 3 at 19:11:00, 19:11:15, 19:11:25, and 19:11:40.",
        "Subsequent DoorLockAlarm event at 19:11:50 indicating the system detected a critical security breach attempt or lockout."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "House was empty during the morning hours (approx. 12:00-13:00).",
      "supported_by": [
        "Simultaneous occupancy=0 reports across all major rooms (living_room, dining_room, bedrooms, entrance) at 12:00:00 and 12:30:00."
      ],
      "contradicted_by": [
        "Room activity counts show 8 events each in master_bedroom, second_bedroom, kids_room, and master_bathroom between 12:00-13:00, which contradicts total vacancy if those events were motion-based presence detections."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential unauthorized entry or tampering with the front door while the house appears occupied later in the day (based on activity distribution), given the lock failure pattern.",
      "supported_by": [
        "High concentration of activity in kitchen (9), living_room (16), and entrance (13) suggests recent human presence.",
        "The sequence of lock errors followed by an alarm typically precedes or accompanies an attempted forced entry or keying issue."
      ],
      "contradicted_by": [
        "No specific timestamp provided for the 'active' period relative to the lock failure at 19:11; the active room counts are aggregate for the 1


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

通知住户检查是否有人误操作或系统异常

No confirmed intrusion detected; observed events align with a standard nightly security routine (closing windows/turning off lights) followed by an automatic lock cycle consistent with arming a home alarm system.

Explanation: Occupancy sensors confirm the house was empty during the critical window-lock events at 21:16 and 22:45, ruling out active occupancy-based entry.

Explanation: The sequence of turning off lights and closing window coverings before the door lock event indicates a resident preparing to leave or secure the home for the night, not an intruder forced entry.

Explanation: The 'Auto' unlock at 22:45:30 immediately following the manual lock is consistent with a smart lock disarming or transitioning states as part of a scheduled 'Away' mode or alarm arm sequence, rather than a malfunction or tailgating attempt.

[2026-06-12T21:16:08] kids_room_occupancy | OccupancySensing.Occupancy = 1 (Contradicts hypothesis of empty rooms during activity; likely a sensor glitch or delayed update given light turned off)

[2026-06-12T22:45:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto) (Consistent with automated security protocol)

Review historical logs to verify if the 'Auto' unlock at 22:45:30 is part of the standard nightly 'Away' mode activation schedule.

Calibrate or replace the kids_room_occupancy sensor if it frequently reports presence after lights are turned off, as this contradicts the visual evidence of the room being dark.

[2026-06-12T07:25:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-12T16:11:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-12T17:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-12T06:48:06] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

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

[2026-06-12T07:25:23] front_door_lock | DoorLock.LockState = 1

Sequence of Front Door Auto-Unlock at 22:45:30 coinciding with Kids Room and Master Bedroom window status changes while all internal occupancy sensors read 0.

Front Door Manual Lock at 22:45:30 immediately followed by Auto Unlock within seconds.

Timestamps for motion sensor triggers in the hallway/entrance area between 21:00 and 00:00 to confirm if anyone moved towards the doors.

Raw signal strength or RSSI values for the front_door_lock events to distinguish between local manual input vs. remote command vs. sensor malfunction.

Historical logs for the front_door_lock to verify if 'LockOperationType=0, Source=Auto' is part of a standard nightly routine or triggered only after intrusion detection.

Contact sensor data for the kitchen and living room windows around 21:00 to see if the window coverings were opened/closed due to physical force rather than motorized control.

## 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": 2294,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 15,
    "dining_room": 8,
    "master_bedroom": 12,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 8,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-12T07:25:12] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T07:25:23] 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 unauthorized entry or door propping event at night: Manual lock state change followed immediately by an auto-unlock, while occupancy sensors in sleeping areas remain empty.",
      "supported_by": [
        "[2026-06-12T22:45:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-12T21:16:02] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window fully closed/opened sequence near lock event)",
        "[2026-06-12T00:00:00] ..._occupancy | OccupancySensing.Occupancy = 0 (No occupants detected in bedrooms/living areas during the window/lock events)"
      ],
      "contradicted_by": [
        "Standard automation schedules often trigger auto-locks/unlocks; however, the specific timing combined with empty rooms makes this suspicious without context.",
        "The presence of a manual lock operation at 22:45:30 suggests human interaction, but the subsequent 'Auto' unlock contradicts typical secure locking behavior unless it's a specific alarm disarming protocol."
      ]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Inconsistent window covering states for children's room and master bedroom occurring when no one is present, possibly indicating forced access or tampering.",
      "supported_by": [
        "[2026-06-12T21:16:02] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-12T22:45:21] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "Users may manually close windows before bed, though the timestamp correlation with the door unlock event raises suspicion."


出门时间已知（LockOperation 事件）
预期回家时间已过但无 LockOperation 解锁事件
偏离日常规律超过1小时

9:30开始尝试联系，10:00后联系紧急联系人

Automated front door locking followed by immediate illumination and full curtain opening in the absence of occupancy strongly indicates an intrusion protocol or compromised security automation.

Explanation: The system logs show no human occupancy after 12:57 until the anomaly event at 20:46, ruling out manual operation by a resident.

Explanation: At 20:46:18, the front door lock triggered automatically (Source=Auto) immediately after a contact change, suggesting an external trigger rather than user action.

Explanation: Within 9 seconds of locking, the bedroom light turned on and curtains opened to 100%, a sequence consistent with surveillance preparation (checking for intruder presence or thermal imaging) rather than routine behavior.

[2026-06-18T20:46:20] bedroom_light | OnOff.OnOff = True

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

Dispatch a trusted emergency contact to verify safety inside the residence.

Review network logs to identify the source IP/MAC of the 'Auto' command originating from the door lock.

Timestamps of all commands sent to 'front_door_lock' and 'bedroom_window' to verify if they originated from the same IP/MAC address or external controller.

State history of the bathroom motion sensor around 20:46 to check for hidden presence before the door lock event.

Command logs for any other smart home devices (lights, thermostats) activated within the 5-minute window surrounding 20:46.

Authentication logs for the 'Auto' source on the door lock to determine if it's a known automation rule or a spoofed signal.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1060,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 28,
    "bedroom": 20,
    "entrance": 16,
    "living_room": 27,
    "bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T20:46:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T12:30:08] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-18T13:56:02] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-18T20:46:18] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-18T20:46:27] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-18T11:55:00] kitchen_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-18T11:57:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-18T11:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-18T11:57:08] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-18T12:00:00] k

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Suspected automated security bypass or unauthorized access attempt: Front door lock cycled to 'Locked' state at 20:46:18, immediately followed by a command to open bedroom curtains (100%) at 20:46:27. This sequence suggests a potential intrusion protocol where the system locks the perimeter and then maximizes visibility for surveillance or thermal imaging from inside.",
      "supported_by": [
        "[2026-06-18T20:46:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-18T20:46:27] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening routine with delayed window opening; occupant locked the door earlier in the day (noon) and opened curtains later in the evening for light/ventilation.",
      "supported_by": [],
      "contradicted_by": [
        "The temporal proximity (9 seconds) between locking the door and opening the curtain is highly irregular for manual human behavior, especially in an elderly living-alone scenario.",
        "No occupancy events are recorded after 12:12 until the suspicious signals at 20:46, suggesting no one was home to manually operate these devices during the gap."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-18T20:46:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T20:46:27] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of all commands sent to 'front_door_lock' and 'bedroom_window' to verify if they originated from t


超过合理时间（10分钟）仍未自动锁定，且 AutoRelockTime 可能未启用

通知老人远程锁门，或自动锁门

The apparent lock state discrepancy is resolved by raw evidence showing the door was never physically opened; the sequence represents a normal user locking/unlocking cycle followed by a delayed auto-lock.

Explanation: Raw logs show that immediately after the initial lock command (18:32:00), the front_door_contact sensor registered 'False' (open) at 18:32:03, indicating the resident manually opened the door to enter or adjust something inside.

Explanation: The contact sensor returned to 'True' (closed) at 18:32:15, and no unauthorized motion or prolonged opening occurred in the entrance zone between 18:32 and 18:42.

Explanation: The LockState=2 event at 18:42 likely reflects a transient communication delay or a specific firmware status code rather than an unforced breach, as the physical barrier remained intact and occupancy patterns remained consistent with normal evening routine.

[2026-06-19T18:32:03] front_door_contact | StateValue = False

[2026-06-19T18:32:15] front_door_contact | StateValue = True

Continue monitoring for any recurrence of lock/unlock cycles without corresponding physical door movement.

Review device firmware logs if this specific 'LockState = 2' pattern persists as a recurring anomaly outside of manual operation windows.

History of front_door_lock events between 18:42:00 and 20:43:21 to rule out missed auto-lock triggers or manual toggling.

Correlation with motion sensor data in the hallway/entrance zone during the gap between 18:42 and 20:43.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 540,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 26,
    "bedroom": 16,
    "living_room": 24,
    "entrance": 21,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T18:32:00] front_door_lock | Event: LockOperation(LockOperationType=1)",
    "[2026-06-19T20:43:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T18:42:00] front_door_lock | LockState = 2",
    "[2026-06-19T20:43:21] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-19T20:43:33] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-19T17:55:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-19T17:55:12] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-19T17:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-19T17:56:44] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-19T17:57:00] kitchen_occupancy | OccupancySensing.Occupancy = 1",

## 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 in the entrance area, indicated by a sequence of conflicting lock states and door sensor readings.",
      "supported_by": [
        "[2026-06-19T18:32:00] front_door_lock | Event: LockOperation(LockOperationType=1)",
        "[2026-06-19T18:42:00] front_door_lock | LockState = 2 (Likely 'Unlocked' or 'Open' state code depending on schema, occurring 10 mins after a lock command)",
        "[2026-06-19T20:43:21] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening occupancy pattern where the resident moves through multiple rooms sequentially before settling in the bedroom.",
      "supported_by": [
        "Sequential occupancy detections: Entrance -> Living Room -> Kitchen -> Bedroom (17:55 - 18:10)",
        "High activity count in kitchen (26) and living room (24) vs low in bathroom (3), consistent with meal preparation and relaxation."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Timestamp discrepancy between LockOperation (18:32) and subsequent LockState change (18:42).",
    "Presence of LockState = 2 at 18:42 followed by LockState = 1 at 20:43 without an explicit re-lock operation log between them."
  ],
  "what_to_verify_in_raw_log": [
    "Raw binary state of front_door_contact_sensor at 18:42:00 to confirm if the door was physically open.",
    "Source IP/MAC address for the LockOperation at 18:32:00 to verify if it originated from a local device (phone/switch) or external network.",
    "History of front_door_lock events between 18:42:00 and 20:43:21 to rule out missed auto-lock trigger


通知住户检查是否有人误操作或系统异常

Suspected unauthorized entry at 06:52 where the front door was manually locked from the inside immediately followed by a contact sensor flip and an automated unlock, while all interior occupancy sensors reported zero.

Explanation: Occupancy sensors in all rooms (kitchen, living room, bedroom, bathroom) consistently reported '0' between 00:00 and 08:17, indicating no residents were present inside during the incident.

Explanation: At 06:52:06, a 'Manual' lock operation occurred, changing the state to Locked (2), which typically requires physical presence inside to initiate via smart lock keypad or handle.

Explanation: Immediately after locking, the door contact sensor flipped to False (open/unlatched) at 06:52:08 and back to True at 06:52:11, suggesting the door was opened from the outside or manipulated without triggering a standard alarm sequence before being unlocked automatically.

Explanation: The sequence of Lock -> Contact Flip -> Auto Unlock suggests someone entered, locked the door from the inside (perhaps testing or trying to secure themselves in), then left through an unlocked path or triggered an automation that unlocked it, contradicting the 'empty house' sensor data.

[2026-06-18T06:52:00] ... entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-18T06:52:08] front_door_contact | BooleanState.StateValue = False

Review CCTV footage for the front door and hallway specifically around 06:52:00 to identify if anyone approached or entered.

Check the physical condition of the front door lock mechanism for signs of tampering or forced entry attempts.

Verify the logic of the 'Auto' unlock rule to ensure it wasn't triggered erroneously by the contact sensor glitch.

If the resident was remote at 06:52, why did the log show a Manual Lock *before* an Auto Unlock? Usually, a remote check triggers a state read, not a manual lock event unless the phone physically triggered a button that locked it (unlikely without context).

Sequence at 06:52:06: Manual Lock -> Auto Unlock within 6 seconds. This pattern often indicates someone manually locking the door from the inside (perhaps tripping a sensor or pressing a button), followed by an automated system response or a second person unlocking it.

Total lack of occupancy data in all rooms between 00:00 and 08:20, yet multiple significant interactions with the entrance door lock occurred at 06:52 and 08:20.

Window covering manipulation (closing at 05:31, opening at 12:21, closing at 14:04, opening at 20:37) suggests someone is actively managing the environment, but combined with the empty house readings, it raises questions about who is controlling these devices.

Raw MQTT/Event logs for the period 06:45:00 to 08:30:00 to determine if there were any motion sensor triggers in the hallway/entrance before the lock operations.

Network connection logs for the smartphone device associated with the resident to verify if the user was physically present or geofenced elsewhere during the 06:52 incident.

Specific value of 'LockOperationType' definitions: Confirm if Type=1 is definitely 'Lock' and Type=0 is 'Unlock', and verify if 'Auto' source can be triggered by external API calls vs internal automation.

Check camera footage (if available) or doorbell chime logs around 06:52:06 and 08:20:00 to confirm if anyone approached the door.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1858,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 21,
    "living_room": 24,
    "bedroom": 18,
    "bathroom": 11,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T06:52:06] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T06:52:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T08:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T20:37:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T05:31:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-18T06:52:06] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-18T06:52:12] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-18T08:20:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-18T12:21:08] bedroom_window | WindowCovering.CurrentPositionLiftP

## 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": "Suspected unauthorized entry or tampering with the front door due to a specific sequence of lock events occurring while no one is inside.",
      "supported_by": [
        "[2026-06-18T06:52:06] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-18T06:52:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-18T08:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-18T08:20:00] front_door_lock | DoorLock.LockState = 2",
        "[2026-06-18T20:37:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-18T20:37:19] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident is away during the day (no occupancy detected) and interacts with the smart home system remotely via mobile app to check/control the door lock.",
      "supported_by": [
        "All room activity counts are low relative to event count, implying absence.",
        "Occupancy sensors consistently report '0' across all rooms between 00:00 and 00:30."
      ],
      "contradicted_by": [
        "The timestamp 06:52:06 shows a 'Manual' lock operation followed immediately by an 'Auto' unlock. If the user was remote, they would likely see the status before acting, or the sequence implies physical presence first then remote action which is illogical for a single user unless checking from outside.",
        "If the resident was remote at 06:52, why did the log show a Manual Lock *before* an Auto Unlock? Usually, a remote check


灶具开着 + 厨房无人 + 老人在其他房间
跟 FG-01 类似但在老人场景下更危险（认知衰退风险更高）

The system behavior is consistent with an automated 'Away Mode' routine triggered by a door opening/closing cycle while the resident is away, rather than an intrusion.

Explanation: Occupancy logs confirm high human activity and movement throughout the day (11:55-14:06), establishing legitimate presence.

Explanation: The sequence at 20:55 shows the front door contact triggered first (True), followed immediately by an automatic lock operation and window closure, which aligns with standard smart-home automation rules for securing the home when the door is opened/closed in the evening.

Explanation: The timing of the bedroom light turning on shortly after the lock engages suggests a normal return-to-home or 'Goodnight' automation sequence initiated by the user leaving the property.

[2026-06-16T11:55:00] to [2026-06-16T14:06:00]: Continuous occupancy events across kitchen, entrance, and living room indicating resident activity.

[2026-06-16T20:55:15] front_door_contact | BooleanState.StateValue = True followed instantly by Auto-lock event, indicating a sensor-triggered automation rule rather than manual tampering.

Review the smart-home automation schedule to confirm the 'Auto-Lock on Door Open/Close' rule is active.

Verify that no physical damage was found on the front door handle or sensors upon next inspection.

Review video feed or camera logs for the entrance and bedroom between 12:39 and 14:06 to confirm who operated the window covering.

Check if the bathroom occupancy sensor went from 0 to 1 around the time of the window operations to rule out missed detection.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1067,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 26,
    "bedroom": 20,
    "entrance": 16,
    "living_room": 28,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-16T20:55:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-16T12:39:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-16T14:06:04] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-16T20:55:16] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-16T20:55:32] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-16T11:55:00] kitchen_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-16T11:57:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-16T11:59:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-16T11:59:08] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-16T12:00:00] k

## 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": "normal",
      "description": "Routine morning household routine: resident wakes up, moves through kitchen/entrance/living room to bedroom, performs daily chores.",
      "supported_by": ["Sequential occupancy events starting at 11:55 in kitchen and moving systematically to other rooms until 12:12"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized entry or 'looping' behavior where the door locks automatically shortly after a specific window state change, without corresponding human movement patterns.",
      "supported_by": ["front_door_lock lock operation at 20:55:16 coincides exactly with front_door_lock state change; suspicious signals show window fully closed (100%) at 12:39 then fully open (0%) at 14:06, then fully closed again at 20:55:32 immediately before the door lock event sequence."],
      "contradicted_by": ["High volume of normal occupancy events between 11:55-12:12 suggests legitimate human presence during the day"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-16T20:55:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-16T20:55:32] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
  ],
  "what_to_verify_in_raw_log": [
    "Verify if 'Auto' lock source corresponds to a motion sensor trigger or a scheduled task rather than manual intervention by an intruder.",
    "Check timestamp correlation between the window closing at 20:55:32 and the door locking at 20:55:16 to determine causality (did the window close cause the lock, or is it a coincidence?).",
    "Review video feed or camera logs for the entrance and bedroom between 12:39 and 14:06 to confirm who


一晚4次以上卧室→卫生间往返 间隔越来越短 可能的健康问题：泌尿系统感染、前列腺问题、糖尿病等

非紧急但需要记录，建议子女/看护者关注，如连续多天则建议就医

Repetitive, physically impossible occupancy triggers across multiple rooms at regular intervals indicate a sensor synchronization failure or environmental interference, not human activity.

Explanation: Human movement between Kitchen, Entrance, Bedroom, and Living Room cannot occur in the observed ~3-8 second windows (e.g., 17:57:00 to 17:58:00), violating basic physics of walking speed.

Explanation: The pattern repeats identically every ~2 minutes with a consistent offset for each room, suggesting a system-level clock drift, polling loop error, or a single external trigger (like dust/light) affecting the network rather than independent human events.

Explanation: Total absence of correlated events (lights, appliances, door contacts) during these spikes further confirms the data is noise rather than actual household activity.

Occupancy=1 triggered in Kitchen (17:57:00), Entrance (17:57:03), Bedroom (17:58:00), and Living Room (17:58:08) within less than 2 minutes total.

Identical timestamp offsets repeated throughout the log (e.g., +3s for entrance, +60s for bedroom, +48s for living room) despite different physical distances between rooms.

No corresponding light on/off, appliance usage, or door lock interactions occurred during the burst of occupancy alerts between 17:55 and 19:00.

Inspect physical sensors for debris, insects, or misalignment causing false PIR triggers.

Check device firmware for known bugs regarding multi-room occupancy aggregation or time-sync issues.

Replace batteries in all affected occupancy sensors if voltage logs show instability.

Lack of any light on/off, appliance usage, or window state changes accompanying the occupancy spikes makes the activity invisible despite high sensor frequency.

Sequential occupancy triggers in Kitchen -> Entrance -> Bedroom -> Living Room occurring within <1 minute intervals (e.g., 18:07-18:08), defying human walking speeds.

Bathroom occupancy dropping to 0 at 18:01 while other sensors simultaneously begin spamming positive detections, indicating potential cross-sensor correlation failure or a specific trigger (like dust/moisture) affecting multiple sensors.

Raw motion vector data (if available) or proximity distances for the 'Occupancy=1' events to confirm if they are point-source triggers or broad-area false positives.

Correlation with ambient light levels or camera frames around 18:07-18:13 to see if objects (pets, dust bunnies, curtains blowing) triggered the PIR sensors.

Battery voltage logs for all occupancy sensors to rule out low-battery erratic behavior.

Check if the 'LockOperation' at 20:51 was manual or automated, and verify if the user was actually home at that time to calibrate the 'active' baseline.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 539,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 28,
    "entrance": 17,
    "bedroom": 17,
    "living_room": 26,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-07T20:51:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-07T20:51:10] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-07T20:51:28] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-07T17:57:00] kitchen_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-07T17:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-07T17:58:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-07T17:58:08] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-07T18:01:18] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T18:02:00] kitchen_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-07T18:02:03] entrance_occupancy | OccupancySensing.Occu

## 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": "High-frequency 'ghost' occupancy cycling across all rooms (Kitchen/Entrance/Bedroom/Living) without corresponding user movement or door interaction, suggesting sensor malfunction or environmental interference rather than human activity.",
      "supported_by": [
        "Repeated identical timestamps for Occupancy=1 in multiple rooms (e.g., Kitchen 18:07 -> Entrance 18:07 -> Bedroom 18:08 -> Living 18:08), creating an impossible travel pattern for a single person.",
        "Sudden drop to Occupancy=0 in Bathroom at 18:01 followed by immediate return to high activity elsewhere, while the bathroom sensor itself is silent during the burst of other room alerts.",
        "Total event count (539) vs Salient event count (60) suggests a massive amount of noise triggering these specific focus events."
      ],
      "contradicted_by": [
        "The presence of a LockOperation event at 20:51 indicates the resident was active later in the evening, making total absence of activity earlier in the day less likely if no one entered/exited."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine household activity where the resident moved quickly between rooms preparing dinner and resting.",
      "supported_by": [
        "Presence in Kitchen, Entrance, Bedroom, and Living Room is consistent with normal daily routine."
      ],
      "contradicted_by": [
        "The precise synchronization of occupancy triggers (within seconds of each other across distant rooms like Kitchen and Living Room) is physically improbable for a human moving naturally.",
        "Lack of any light on/off, appliance usage, or window state changes accompanying the occupancy spikes makes the activity i


老人进入卫生间（灯开+运动触发） 运动传感器因PIR超时归零（人倒在地上不动），但灯仍开着 随后30分钟+全屋完全无活动 卫生间是老人跌倒高发区域（地滑） 跟正常午睡的区别：午睡在卧室且会先关灯

中等紧急度警报，尝试通过语音/通知联系老人，如无回应建议联系紧急联系人

The observed window cycling and automatic lock engagement are consistent with a resident's normal evening routine (waking up, adjusting environment, and leaving the house) rather than malicious intrusion.

Explanation: Occupancy logs show continuous presence in the home from 11:58 until late evening, with no gaps indicating an intruder entering while the resident was absent.

Explanation: The bedroom window adjustments occurred at 12:37, 14:09, and 20:55; given the occupant is present in the bedroom at all these times, this indicates manual or automated user control for comfort/lighting, not surveillance evasion.

Explanation: The front door lock engaged automatically at 20:55 exactly when the front door contact sensor triggered ('True'), confirming a standard 'auto-lock upon exit' sequence by the resident, not a phantom unlock event.

[2026-06-22T20:55:17] front_door_contact | BooleanState.StateValue = True

[2026-06-22T12:37:10] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (with bedroom_occupancy = 1 at 12:37:02)

Continue monitoring; current behavior aligns with baseline normal operations.

Timestamps of front_door_contact_sensor state changes relative to the automatic lock event at 20:55:18.

Command history or user authentication logs associated with the bedroom_window covering changes to determine if they were manual or automated.

Motion sensor data in the hallway or outside the bedroom during the window cycling events to check for unauthorized approach.

Battery levels or error codes for the bedroom window covering motor.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1066,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 26,
    "bathroom": 3,
    "entrance": 16,
    "living_room": 28,
    "bedroom": 19
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T20:55:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T12:37:10] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-22T14:09:09] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-22T20:55:18] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-22T20:55:35] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-22T11:56:00] kitchen_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-22T11:56:58] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-22T11:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-22T11:58:09] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-22T11:59:00]

## 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": "Rapid cycling of bedroom window coverings (100% -> 0% -> 100%) within a short timeframe, potentially indicating an attempt to obscure or reveal the interior for surveillance, or a malfunctioning automated system.",
      "supported_by": ["[2026-06-22T12:37:10] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-22T14:09:09] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-22T20:55:35] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Front door lock engaged automatically at 20:55 while the front door contact sensor was not explicitly reported as 'open' immediately prior in the suspicious list, suggesting either a phantom unlock event or an external interaction without physical entry detection triggering a log.",
      "supported_by": ["[2026-06-22T20:55:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-22T20:55:18] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Resident moved through the home sequentially from entrance to living room to bedroom and kitchen between 11:58 and 12:13, consistent with waking up or starting daily routines.",
      "supported_by": ["[2026-06-22T11:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-22T11:59:00] bedroom_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-22T12:01:00] kitchen_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2


居家意外（任意位置跌倒/晕倒）

最后一次运动在非卧室房间（如客厅、厨房） 随后异常长时间无任何活动 不在正常午睡时段（比如上午10点或下午4点）

紧急联系老人，如无应答联系紧急联系人或120

The observed events are consistent with automated home routines and occupant behavior rather than an intrusion or malfunction.

Explanation: Occupancy logs confirm a single resident was present and moving between rooms consistently throughout the period from 11:56 to 20:48, ruling out unauthorized entry during the curtain cycling events.

Explanation: The bedroom window covering commands at 12:23 (open) and 13:50 (close) occurred while occupancy sensors in the bedroom and living room were active, indicating user-initiated action for privacy or light control.

Explanation: The event at 20:44 shows the front door contact opening followed immediately by an 'Auto' lock operation and a brief activation of the bedroom light; this sequence aligns with a resident returning home, locking the door automatically via smart home routine, and turning on a lamp, without any signs of forced entry or delayed response.

[2026-06-28T12:01:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

Continue monitoring standard daily patterns.

Review smart-home automation settings if the 'Auto' lock timing feels inconsistent with user preference.

Repeated full-cycle operation of bedroom window covering (Close -> Open -> Close) between 12:23 and 13:50.

Temporal correlation between front door auto-lock event and abrupt full-opening of bedroom curtains at 20:44.

Timestamps and duration of motor commands for the bedroom window covering device to rule out sensor misreading vs. actual mechanical movement.

Source of the 'Auto' lock operation at 20:44:13 (was it triggered by an open/close loop timeout or manual interaction?).

Motion sensor logs in the hallway/bathroom immediately preceding the 20:44 events to check for unauthorized entry/exit patterns.

Temperature and humidity spikes in the bedroom between 12:23 and 13:50 to confirm air circulation changes due to curtain movement.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1063,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 27,
    "bedroom": 19,
    "entrance": 16,
    "living_room": 28,
    "bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-28T20:44:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-28T12:23:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-28T13:50:10] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-28T20:44:13] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-28T20:44:23] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-28T11:56:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-28T11:58:00] kitchen_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-28T11:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-28T11:58:10] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-28T12:01:00] b

## 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": "Rapid, repetitive cycling of bedroom window coverings (fully closed to fully open and back) within a 5-minute window while the resident is present.",
      "supported_by": ["[2026-06-28T12:23:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-28T13:50:10] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-28T20:44:23] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Door lock state change at 20:44 coincides exactly with the final rapid opening of the bedroom curtains, suggesting a potential coordinated event or intrusion sequence rather than independent routine activity.",
      "supported_by": ["[2026-06-28T20:44:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-28T20:44:23] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Standard daily routine involving movement through multiple rooms (kitchen, entrance, living room, bedroom) consistent with a single occupant's schedule.",
      "supported_by": ["[2026-06-28T11:56:00] bedroom_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-28T11:58:00] kitchen_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-28T11:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-28T11:58:10] living_room_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": ["[2026-06-28T12:23:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[


与老人的日常作息规律（daily_routines 中的 elderly 画像）显著偏离

不是周末睡懒觉（老人每天作息一样）

上午8点后联系老人确认状况

Occupancy sensors reported 'empty' during the night due to sensor drift or calibration issues, while temperature data confirms a human resident was present and active in the house.

Explanation: Raw logs show all occupancy sensors reading '0' from 00:00 to 04:30, contradicting the later activity of a resident (lights on at 05:20, door/window operations).

Explanation: However, kitchen temperature readings rose steadily from ~2279 to ~2414 between 00:00 and 04:30, indicating metabolic heat from a person sleeping in the kitchen area, proving presence despite sensor failure.

Explanation: The door lock events at 07:08 and 08:28 follow a logical pattern: Manual Lock -> Door Contact Open -> Auto Unlock, consistent with a resident leaving and returning, not an intruder breach.

Explanation: The window covering movements (open/close) occurred after the resident's lights turned on, confirming routine behavior rather than intrusion.

[2026-06-30T00:00:00] ... OccupancySensing.Occupancy = 0 (all rooms)

[2026-06-30T04:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2414 (indicates presence)

[2026-06-30T05:20:05] bedroom_light | OnOff.OnOff = True (resident awake)

Calibrate or replace the living room and bedroom occupancy sensors immediately.

Verify the battery levels of the entrance and bedroom motion detectors.

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

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

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

Activity logs show frequent door/window interactions between 05:20 and 08:28, implying someone was present; if they were present at midnight/early morning, why did sensors report empty?

No explicit evidence of an intruder causing false negatives other than the data itself showing gaps.

Door lock manual operation followed immediately by auto-unlock sequence twice within a short timeframe (07:08 and 08:28).

Bedroom window being opened/closed multiple times in rapid succession (05:20 -> 12:40 -> 14:10).

Widespread occupancy sensor reports of '0' during the night while subsequent events suggest human presence.

Timestamps and duration of the 'LockOperation' events to determine if the door was actually forced open or just manipulated.

Raw IR/microwave signal strength or proximity data from the entrance motion sensor around 07:08 and 08:28.

Calibration status and battery level of the bedroom and living room occupancy sensors.

Video feed or doorbell camera logs for the timestamp range 07:08:00 to 08:30:00.

Specific state change of the bedroom window covering motor commands vs. actual position feedback.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1850,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 24,
    "living_room": 22,
    "bedroom": 18,
    "bathroom": 10,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T07:08:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T07:08:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T08:28:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T20:43:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T05:20:11] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-30T07:08:03] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-30T07:08:10] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-30T08:28:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-30T12:40:15] bedroom_window | WindowCovering.CurrentPositionLiftP

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or security breach indicated by the door locking pattern.",
      "supported_by": [
        "[2026-06-30T07:08:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-30T07:08:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-30T08:28:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-30T20:43:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident is awake and active during early morning hours (05:20 - 08:28) engaging in routine window opening/closing and door operations.",
      "supported_by": [
        "[2026-06-30T05:20:11] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-30T12:40:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-30T14:10:07] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0"
      ],
      "contradicted_by": [
        "Occupancy sensors show '0' (empty) from 00:00:00 to at least 00:30:00 across all rooms, which contradicts the activity seen later if the resident was sleeping in bed throughout this time without triggering motion."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Inconsistent occupancy reporting suggesting sensor malfunction or data gap.",
      "supported_by": [
        "[2026-06-30T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-30T00:00:00] b