烟雾报警器低电量时发生事件

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

警告住户烟雾报警器可能失灵，建议更换电池/设备

The kitchen smoke alarm sensor has malfunctioned or become stuck in a false 'clear' state (SmokeState=0) following an explicit battery failure alert, creating a critical safety gap.

Explanation: Raw log confirms a BatteryAlert (value=1) occurred at 18:53:00 on the kitchen smoke alarm.

Explanation: At 19:03:00 (only 10 minutes later), the same sensor reported SmokeState = 0 (Clear/Normal).

Explanation: This rapid transition from 'Battery Low' to 'Clear' without any intervening maintenance event suggests the sensor failed to reset properly or is stuck, rendering it non-functional during a potential fire event.

Explanation: Although occupancy sensors confirm the house was empty and temperatures were stable until the very end of the log, the integrity of the primary fire detection device is compromised.

Immediately manually inspect and replace the battery in the kitchen smoke detector.

Test the smoke alarm's sounder and sensor functionality after replacement.

Check system logs for any missed maintenance notifications regarding this specific device.

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 1492,
  "salient_event_count": 60,
  "focus_event_count": 81,
  "room_activity": {
    "kitchen": 12,
    "living_room": 19,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 8,
    "kids_room": 8,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-06T18:53:00] kitchen_smoke_alarm | BatteryAlert = 1",
    "[2026-06-07T19:03:00] kitchen_smoke_alarm | SmokeState = 0",
    "[2026-06-07T00:00:00] living_

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Kitchen smoke alarm battery failure creating a potential false negative for fire detection.",
      "supported_by": ["[2026-06-06T18:53:00] kitchen_smoke_alarm | BatteryAlert = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "House is currently unoccupied during late-night hours (standard sleep/away mode).",
      "supported_by": ["Multiple occupancy sensors reporting Occupancy = 0 across all rooms between 00:00 and 01:00"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-06T18:53:00] kitchen_smoke_alarm | BatteryAlert = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Check if the 'BatteryAlert' event triggered any automatic maintenance alerts or doorbell notifications to the homeowner.",
    "Verify the timestamp of the last successful battery replacement for the kitchen smoke detector."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-06T18:53:00] kitchen_smoke_alarm | BatteryAlert = 1
[2026-06-07T00:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2280
[2026-06-07T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-06-07T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-07T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-07T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-07T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-07T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-07T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-07T00:00:00] entrance_occupancy | OccupancySensing.


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

立即提醒住户关闭灶具，如无法联系则自动关闭（如支持远程关闭）

Smoke alarm triggered due to a stove being turned on while the house was completely unoccupied, leading to an extreme temperature spike and potential fire.

Explanation: Occupancy logs from 00:00 to 04:00 consistently show 'Occupancy = 0' for all rooms, confirming the house was empty when the incident occurred.

Explanation: The kitchen cook_surface turned ON at 01:52:00 while no one was present in the kitchen or any other room.

Explanation: A critical temperature anomaly occurred at 02:02:00 (3500 degrees), immediately followed by the smoke alarm activation at 02:07:00, indicating a rapid escalation of heat likely from an unattended cooking source.

Explanation: Subsequent temperatures remain elevated (~2380-2400) rather than returning to baseline (2200-2300), suggesting active heating or sensor drift caused by the event, but the initial spike confirms the hazard.

[2026-06-14T01:52:00] kitchen_cook_surface | OnOff = True

[2026-06-14T02:02:00] kitchen_temp_sensor | MeasuredValue = 3500

Continuous 'OccupancySensing.Occupancy = 0' across all sensors between 01:52:00 and 02:07:00

Immediately verify if the kitchen is physically safe to enter; do not enter if smell of smoke persists or fire is visible.

Check the stove/cooktop area for burnt food, spilled oil, or malfunctioning elements that could cause overheating.

Inspect the kitchen smoke detector for false positives (e.g., dust, grease) versus actual smoke residue.

Review smart appliance logs to confirm why the stove activated without user command (smart home automation error vs. manual trigger).

[2026-06-14T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 1495,
  "salient_event_count": 60,
  "focus_event_count": 83,
  "room_activity": {
    "kitchen": 15,
    "living_room": 19,
    "dining_room": 9,
    "master_bedroom": 8,
    "second_bedroom": 8,
    "kids_room": 8,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-14T02:07:00] kitchen_smoke_alarm | Event: SmokeAlarm()",
    "[2026-06-14T02:07:00] kitchen_smoke_alarm | SmokeState = 1",
    "[2026-06-14T00:00:00] livi

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Active kitchen smoke alarm indicates a potential fire hazard or false positive requiring immediate attention.",
      "supported_by": ["[2026-06-14T02:07:00] kitchen_smoke_alarm | Event: SmokeAlarm()", "[2026-06-14T02:07:00] kitchen_smoke_alarm | SmokeState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The household is currently unoccupied (empty house) based on occupancy sensors across all rooms.",
      "supported_by": ["Multiple OccupancySensing.Occupancy = 0 events from 00:00 to 01:00 across living_room, dining_room, bedrooms, etc."],
      "contradicted_by": ["room_activity shows non-zero counts for some rooms at specific times, but suspicious_signals explicitly list 0 occupancy; the smoke event suggests someone might be present or a pet triggered it, creating ambiguity."]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-14T02:07:00] kitchen_smoke_alarm | Event: SmokeAlarm()",
    "[2026-06-14T02:07:00] kitchen_smoke_alarm | SmokeState = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Kitchen contact_sensor and window_covering state around 02:07:00 to determine if doors/windows were open.",
    "Kitchen cook_surface (stove/cooktop) activity logs immediately preceding 02:07:00 to rule out cooking-related smoke.",
    "Kitchen water_leak_detector status to rule out steam/water interaction triggering the sensor.",
    "Detailed timestamped log of 'kitchen_occupancy' around 02:07:00 to confirm if anyone was actually in the room.",
    "History of 'kitchen_smoke_alarm' maintenance or battery replacement dates to check for false positive likelihood."
  ],
  "provisional_risk": "high"
}

## Focused Raw Log
[2026-06-14T00:00:00]


烟雾报警器低电量时发生事件

警告住户烟雾报警器可能失灵，建议更换电池/设备

The sequence of events represents normal family routine activities including securing the home upon leaving and adjusting window coverings for privacy/ventilation while occupants are present.

Explanation: Manual door locks at 07:40, 15:55, and 18:16 correlate directly with occupancy logs showing residents entering or preparing to leave the home (e.g., entrance/dining occupancy spikes immediately prior to locking).

Explanation: The window opening event at 21:18 occurred shortly after dining room occupancy was detected (21:18:04), indicating a resident was likely in the house adjusting blinds for sleep preparation rather than an intruder entering.

Explanation: No motion sensors triggered in the children's room or hallway between 21:00 and 22:30; the only occupancy change before bed was the master bedroom light turning on/off at 22:32, confirming resident presence and subsequent departure via auto-lock.

Explanation: Temperature drift observed from midnight to early morning (2272 to 2369) is consistent with HVAC thermostat setbacks during overnight absence, not a fire or gas leak.

[2026-06-19T21:18:04] dining_room_occupancy | OccupancySensing.Occupancy = 1 followed by window change at 21:18:08

Multiple manual lock operations timed with known human activity cycles (morning departure, afternoon return, evening departure)

Absence of intrusion alarms or unauthorized access logs despite window state changes

Monitor temperature trends if they continue to rise abnormally during future occupied hours.

Verify smoke alarm battery replacement schedule as noted in the historical log.

[2026-06-19T07:40:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-19T22:32:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-18T15:05:00] kitchen_smoke_alarm | BatteryAlert = 1

[2026-06-19T15:15:00] kitchen_smoke_alarm | SmokeState = 0

Possible intruder accessing the home via the children's room window while occupants are asleep.

Time gap between manual door locks (18:16) and window opening (21:18) covers evening hours when residents might be preparing for bed.

Window covering changed to '10000' (open) at 21:18 in kids_room, coinciding with high activity in entrance/living areas later that night.

No immediate smoke/fire alerts triggered despite potential disturbance.

Front door was locked again at 22:32:22, suggesting either re-entry prevention or internal locking by a resident who noticed the anomaly.

Sequence of manual front door locks followed by an unexplained opening of the kids' room window late at night.

Discrepancy between high entrance activity counts and specific timing of window state changes relative to occupancy patterns.

Access control logs for the kids_room_window sensor to determine if the 'opening' event was a physical tamper, a cover motor activation, or a false positive.

Motion sensor timestamps in the hallway/kids_room vicinity between 21:00 and 22:30 to correlate with the window opening.

Audio logs or camera feeds (if available) around 21:18 to verify human presence near the window.

History of the 'manual' lock operations to confirm they were authorized user actions versus forced manipulation attempts.

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 2287,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 10,
    "living_room": 17,
    "dining_room": 9,
    "master_bedroom": 10,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 6,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:40:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:40:30] front_door_lock | Event:

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential forced entry or break-in attempt involving the front door and children's room window.",
      "supported_by": [
        "[2026-06-19T07:40:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T15:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T18:16:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T06:17:13] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Window fully closed/covered)",
        "[2026-06-19T21:18:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window fully opened shortly after manual locks occurred)"
      ],
      "contradicted_by": [
        "[2026-06-19T22:32:22] front_door_lock | DoorLock.LockState = 1 (Door locked from inside before midnight)"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residential routine with automated security protocols and family activities.",
      "supported_by": [
        "Multiple manual lock events at different times of day suggest standard locking/unlocking cycles.",
        "Smoke alarm battery alert is a scheduled maintenance item, not an emergency.",
        "Occupancy sensors showing '0' at 00:00 suggests normal overnight vacancy."
      ],
      "contradicted_by": [
        "The specific sequence of manual locks followed by a late-night window opening in the children's room deviates from typical passive routines unless explained by a specific event (e.g., child waking up)."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description":


玄关运动 + 门锁解锁失败

密码错误（小孩可能记不准密码）

跟 INS-02 的区别：这里不是暴力破解，只有1-2次尝试，且家中有其他房间的活动（说明有人在家）

Evidence indicates a potential unauthorized entry attempt at 02:33 AM where an occupant was present in the entrance while the front door lock suffered repeated failures from an unknown source (Source=3), followed by a successful manual unlock that may have been performed by an intruder.

Explanation: At 02:33:00, occupancy sensors detected someone ('Occupancy = 1') in the entrance area, coinciding exactly with two 'LockOperationError' events from Source=3.

Explanation: The error source '3' is not documented as a standard user controller or known automated system in the logs, suggesting a third-party device or tampering attempt.

Explanation: Subsequent logs show the door contact sensor transitioning to 'False' (open) at 07:37:35 and again at 17:46:02 without immediate corresponding authorized entry/exit context for the 02:33 event, implying the door may have been forced open or unlocked manually during the intrusion window.

[2026-06-30T02:33:00] entrance_occupancy | OccupancySensing.Occupancy = 1

Immediately change the primary locks on the front door and any connected smart locks.

Review security camera footage specifically for the 02:30–02:40 AM timeframe to identify the individual at the door.

Investigate the identity of 'OperationSource=3' and disable it if unrecognized.

[2026-06-30T07:37:33] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-30T07:37:44] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-30T16:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-30T17:46:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-30T22:43:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-30T22:43:23] front_door_lock | DoorLock.LockState = 1 (Locked at night)

Repeated LockOperationError events on the front door at 02:33 AM (Source=3, potentially automated system or tampering attempt rather than user interaction).

Transition of Front Door Lock State to 'Unlocked' (State=2) at 16:20 and 17:46 without clear context of authorized entry in the immediate log snippet, especially given the prior errors.

Timestamps of occupancy sensor triggers in the 'entrance' room around 02:33 and 16:20 to confirm if anyone was present when the lock errors occurred.

Identity of 'OperationSource=3' for the lock errors to determine if it is a known smart device controller, a third-party app, or an unknown entity.

Door contact sensor logs for the front door between 02:33 and 07:37 to see if the door was physically opened despite the lock status.

Video footage (if available) or motion sensor logs for the hallway/entrance corridor during the 02:33 AM timeframe.

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 2288,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 13,
    "second_bedroom": 6,
    "kids_room": 11,
    "master_bathroom": 6,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T02:33:05] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-30T02:33:15] front_door_lock | Event: Lock

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized access attempt or lock malfunction indicated by repeated failed lock operations (LockOperationError) shortly before the first successful manual unlock.",
      "supported_by": ["[2026-06-30T02:33:05] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)", "[2026-06-30T02:33:15] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Possible intrusion event sequence: Failed locks followed by state changes from Unlocked (2) to Locked (1) without corresponding entry/exit occupancy events in the entrance area during the specific timestamps of interest.",
      "supported_by": ["[2026-06-30T07:37:44] front_door_lock | DoorLock.LockState = 1 (Locked after Manual Unlock at 07:37:33? Or Auto Locking?)", "[2026-06-30T16:20:00] front_door_lock | DoorLock.LockState = 2", "[2026-06-30T17:46:00] front_door_lock | DoorLock.LockState = 2", "[2026-06-30T22:43:23] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": ["[2026-06-30T07:37:33] front_door_lock | DoorOperation(LockOperationType=1, OperationSource=Manual)"]
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Routine daily activity with normal window and door usage patterns (opening/closing curtains, locking/unlocking doors).",
      "supported_by": ["[2026-06-30T06:45:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Curtains closed upon waking/leaving?)", "[2026-06-30T20:43:02] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Curtains opened)", "[2026-06-30T22:43:23] front_door


从阳台到主卧在物理上必须经过客厅，但客厅无运动信号

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

标记为异常事件，建议检查客厅传感器或确认是否有人

All observed events align with normal household routines and sensor data confirms no unauthorized access or safety breaches.

Explanation: The front door auto-lock event at 07:15:29 is supported by the contact sensor showing the door was closed (True) immediately after manual locking, indicating a standard cycle rather than forced entry.

Explanation: The Kids Room window opening/closing at 06:46 and 21:08 coincides exactly with light state changes, consistent with automated curtains responding to sunrise/sunset schedules, not manual tampering.

Explanation: Occupancy logs confirm the house was empty during the night hours when the window opened at 21:08, and occupants were present during morning activities, ruling out intrusion.

[2026-06-18T07:15:27] front_door_contact | BooleanState.StateValue = True

[2026-06-18T06:46:08] kids_room_light | OnOff.OnOff = True followed by window change at 06:46:10

Continue monitoring routine operations as they appear normal.

No immediate security intervention required.

[2026-06-18T16:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-18T17:45:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-18T22:33:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

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

[2026-06-18T07:15:29] front_door_lock | DoorLock.LockState = 1

Check 'kids_room_occupancy' logs between 06:45 and 06:50 to confirm if any brief movement occurred before the window closed.

Check 'kids_room_occupancy' logs between 21:05 and 21:15 to confirm absence of occupants when the window was opened.

Verify the history of 'front_door_contact_sensor' states around 07:15:29 to see if the door was physically breached while auto-locking.

Review video feeds or camera logs for the Kids Room and Front Door entrance during the suspicious timestamps.

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 2466,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 15,
    "dining_room": 10,
    "master_bedroom": 11,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 7,
    "entrance": 19
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T07:15:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T07:15:29] front_door_lock | Event:

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced entry attempt detected via abnormal door lock state transitions during non-manual operation windows.",
      "supported_by": [
        "[2026-06-18T07:15:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-18T22:33:26] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": [
        "No motion sensors triggered in the Entrance room immediately following these events."
      ]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Suspicious window manipulation in Kids Room at night (06:46 closed -> 21:08 opened), potentially indicating access from outside or internal tampering.",
      "supported_by": [
        "[2026-06-18T06:46:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-18T21:08:05] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "Kids Room occupancy sensor shows 0 activity at both timestamps."
      ]
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Routine household activity pattern consistent with a family waking up, leaving, and returning home.",
      "supported_by": [
        "Room activity counts show high frequency in Kitchen, Living Room, Dining Room, and Master Bedroom.",
        "Front door lock operations align with typical daily commute times (07:15, 16:20, 17:45).",
        "Occupancy sensors report empty status consistently at 00:00:00."
      ],
      "contradicted_by": [
        "The specific anomaly of the Kids Room window opening/closing without occupant presence."
      ]
    }
  ],
  "most


儿童进入危险区域操作危险设备

活动轨迹：儿童房 → 厨房

无成人在厨房（厨房 occupancy 信号模式+其他房间的 occupancy 信号表明成人不在厨房）

如果灶具有 OffOnly 限制，理论上不能远程开启——这意味着是物理操作

立即通知家长，如可能则远程关闭灶具（OffOnly命令）

The system is reporting physically impossible temperature values (ranging from ~22°C to ~240°C) alongside zero occupancy, indicating severe sensor hardware failure or data corruption rather than an actual fire or intrusion.

Explanation: Occupancy sensors consistently report '0' across all rooms during the night, which is consistent with a normal 'Away' mode or empty house state.

Explanation: However, temperature sensors are logging values that escalate from 2273 (likely representing 22.73°C if scaled by 100) to 2394 (representing 23.94°C), but the raw integer values themselves would imply temperatures exceeding 2000°C, which is physically impossible for a residential environment and indicates a stuck sensor or software parsing error.

Explanation: There is no evidence of rapid temperature spikes characteristic of a fire (which would show exponential growth in realistic units) or forced entry events; the pattern suggests a single point of failure in the telemetry stream.

[2026-06-13T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273

[2026-06-13T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394

Immediately flag the kitchen and living room temperature sensors for replacement or calibration.

Ignore false fire alerts generated by this specific sensor until the hardware issue is resolved.

Verify physical conditions manually to rule out any other hazards, as the reading is unreliable.

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

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

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

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

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

Status history of `entrance_contact_sensor` and `entrance_door_lock` around T=00:00 to confirm if the door was unlocked/opened.

State transitions of `window_covering` and `contact_sensor` in living_room/kitchen to see if windows were breached.

Sequence of events: Did occupancy go from 1 -> 0 immediately after a specific door/window event, or did it drop gradually?

Check `room_activity` logs for specific event types (e.g., 'DoorOpen', 'Tamper') vs generic 'OccupancyChange'.

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 1492,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 9,
    "living_room": 17,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 9,
    "kids_room": 9,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Total House Abandonment / Unauthorized Entry (Break-in)",
      "supported_by": [
        "[2026-06-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-13T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
        "High focus_event_count (78) relative to normal occupancy patterns for a residential home, indicating significant state changes likely triggered by door/window breaches or motion in empty zones."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled Vacancy / Away Mode with System Errors",
      "supported_by": [
        "All room activity counts are low/zeroed at night hours (00:00 - 01:00).",
        "Uniform zero occupancy across all rooms suggests a deliberate 'Away' state rather than random sensor noise."
      ],
      "contradicted_by": [
        "The high `focus_event_count` (78) is disproportionately high for a simple transition to 'Away' mode, suggesting active triggering events (like door opens) rather than passive vacating.",
        "Presence of `suspicious_signals` tag implies the system has already flagged this pattern as non-standard."
      ]
    }
  ],
  "most_concerning_signals": [
    "Simultaneous zero occupancy in Entrance and Living Room combined with high event frequency suggests potential forced entry followed by movement restriction or repeated trigger attempts.",
    "Timestamp clustering at 00:00, 00:30, 01:00 indicates periodic reporting or alarm cycling after an initial breach, not just natural sleep cycles."
  ],
  "what_to_verify_in_raw_log": [
    "Status history of `entrance_contact_sensor` and `entrance_door_lock` around T=00:00 to co


从阳台到主卧在物理上必须经过客厅，但客厅无运动信号

标记为异常事件，建议检查客厅传感器或确认是否有人

Continuous zero occupancy readings across all zones from 00:00 to 04:00 are consistent with a standard 'away' mode; no motion or thermal anomalies indicate intrusion or malfunction.

Explanation: Occupancy sensors in every room (bedrooms, living areas, entrance) reported '0' consistently for over 4 hours without any fluctuations to '1'.

Explanation: If residents were sleeping inside, at least one bedroom sensor would likely report presence; simultaneous zeros strongly suggest total absence.

Explanation: Temperature readings show a gradual rise typical of an unoccupied building losing cooling/heating efficiency, rather than the rapid spike associated with human activity or fire.

Explanation: No intermittent motion events or conflicting data points were found in the provided raw log excerpt to suggest sensor drift or calibration failure.

Raw log shows OccupancySensing.Occupancy = 0 for all monitored zones continuously between T00:00 and T04:00.

Absence of any 'Occupancy = 1' events in bedroom logs during the early morning window rules out internal occupancy.

Confirm that the home automation system was manually set to 'Away' mode prior to sleep.

Verify door lock logs from the previous evening to ensure secure departure.

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

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

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

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

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

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

High event counts in multiple rooms immediately preceding the empty state indicate recent activity, making the sudden transition to 'completely empty' status require verification to rule out sensor drift.

Check the raw motion detection data for master_bedroom, second_bedroom, and kids_room between 23:00 and 00:00 to see if there were intermittent detections that caused the final state to flip to '0'.

Verify the configuration of the occupancy sensors to determine if they are set to 'instant trigger' (requiring movement now) or 'stay timer' (remembering presence for X minutes after last movement). If set to instant trigger, it confirms no one is currently moving.

Cross-reference door lock logs for the entrance around 00:00 to confirm when the house was locked/entered, establishing the timeline of departure vs. arrival.

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 1491,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 9,
    "living_room": 17,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 9,
    "kids_room": 9,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-06T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The entire residence is completely unoccupied (empty house) during the early morning hours (00:00 - 01:00), as indicated by zero occupancy in all monitored rooms.",
      "supported_by": ["suspicious_signals contains continuous 'OccupancySensing.Occupancy = 0' reports from living_room, dining_room, master_bedroom, second_bedroom, kids_room, master_bathroom, and entrance between T00:00 and T01:00"],
      "contradicted_by": ["room_activity counts show significant activity (8-17 events) in these same rooms immediately prior to the timestamp, suggesting recent human presence before the system registered a full empty state"]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The household has vacated the premises for the night, resulting in a standard 'away' mode where all occupancy sensors correctly report no presence.",
      "supported_by": ["The timestamp indicates early morning (00:00-01:00), a typical time for households to be asleep or absent if residents work late or travel; consistent zero readings across all zones align with an empty building logic"],
      "contradicted_by": ["If any resident was sleeping in one of the bedrooms, that specific room's sensor should report Occupancy = 1. The simultaneous '0' reading in master_bedroom, second_bedroom, and kids_room contradicts the hypothesis that anyone is currently inside resting."]
    }
  ],
  "most_concerning_signals": [
    "Simultaneous 'Occupancy = 0' across ALL bedrooms (master, second, kids) and common areas (living, dining, entrance) at 00:00 suggests either total absence or a sensor calibration failure masking presence.",
    "High event counts in multiple rooms immediately preceding the empty state indica


烟雾报警器低电量时发生事件

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

警告住户烟雾报警器可能失灵，建议更换电池/设备

The front door lock is exhibiting inconsistent behavior where manual unlocking events are immediately followed by automatic re-locking and door contact state flips, suggesting a sensor failure or firmware logic error rather than an intruder.

Explanation: Evidence shows a sequence at 17:53:00 where the user manually unlocked the door (LockState=2), but the system subsequently triggered an 'Auto' lock operation (LockState=1) just seconds later.

Explanation: This contradicts normal human behavior; if someone were entering, they would not trigger an immediate auto-relock that closes the door on them within seconds of opening it.

Explanation: A similar pattern occurred earlier at 07:11:31, confirming this is a recurring system issue with the lock mechanism or its sensors, not a unique security breach attempt.

Inspect the physical alignment of the door strike plate and check for debris obstructing the magnetic contact sensor.

Update the smart lock firmware to rule out known bugs causing false auto-lock triggers.

Temporarily bypass the auto-lock feature until the root cause is verified to prevent residents from being locked out.

[2026-06-10T07:11:39] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-10T16:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-10T07:29:00] kitchen_smoke_alarm | SmokeState = 0

[2026-06-10T06:28:07] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

Timestamps and IP addresses associated with the Manual lock operation at 17:53:00 to confirm user identity.

Motion sensor logs for the entrance area between 17:53:00 and 22:18:26 to see if anyone entered after the door was unlocked.

Historical occupancy patterns to verify if residents typically leave the house around 17:53 on weekdays.

Battery replacement history for the kitchen smoke alarm.

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 2297,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 11,
    "living_room": 16,
    "dining_room": 7,
    "master_bedroom": 12,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 7,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T07:11:31] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T07:11:39] front_door_lock | Event:

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or security breach via the front door.",
      "supported_by": [
        "[2026-06-10T17:53:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-10T17:53:00] front_door_lock | DoorLock.LockState = 2",
        "[2026-06-10T22:18:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-10T22:18:26] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Kitchen smoke alarm battery failure detected, reducing safety redundancy.",
      "supported_by": [
        "[2026-06-09T07:19:00] kitchen_smoke_alarm | BatteryAlert = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Residents are currently away (vacation/leaving) during daylight hours.",
      "supported_by": [
        "[2026-06-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-10T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-10T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": [
        "[2026-06-10T07:11:31] front_door_lock | Event: LockOperation...",
        "[2026-06-10T07:11:31] front_door_lock | DoorLock.LockState = 2"
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-10T17:53:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T17:53:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-10T22:18:26] front_door_lock | Event: LockOperation(LockO


从阳台到主卧在物理上必须经过客厅，但客厅无运动信号

标记为异常事件，建议检查客厅传感器或确认是否有人

Multiple occupancy sensors are malfunctioning due to sensor drift or calibration failure, falsely reporting an empty house while environmental data confirms the presence of a heating system in active use.

Explanation: All room occupancy sensors consistently report '0' (vacant) across all timestamps from 00:00 to 04:00, contradicting the high frequency of raw events mentioned in Stage-1.

Explanation: The temperature logs show a clear, continuous rise in kitchen and living room temperatures (from ~22°C to ~23.9°C), indicating that a heating appliance is actively running and the environment is inhabited.

Explanation: If the house were truly vacant as the sensors claim, heating systems would typically be off or thermostat-controlled differently; the simultaneous 'empty' reading and active heating indicates the occupancy logic has failed, not that the house is empty.

Explanation: This is classified as sensor drift/failure rather than an intrusion because the physical evidence (heat generation) proves presence despite the digital signal claiming absence.

Continuous OccupancySensing.Occupancy = 0 for all rooms between 00:00 and 04:00.

Kitchen temperature steadily increased from 2262 to 2394 over the same period, proving appliance usage and likely human supervision.

Immediately flag the occupancy network for recalibration or replacement.

Verify actual house status via alternative means (e.g., manual check-in, backup camera review) before triggering security alerts.

Review firmware logs for known bugs in the occupancy sensor algorithm affecting this batch.

[2026-06-28T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-28T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-28T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-28T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-28T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-28T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The household is completely empty (vacant) during the reported monitoring period, indicated by zero occupancy in all sensitive rooms.",
      "supported_by": [
        "suspicious_signals shows OccupancySensing.Occupancy = 0 across living_room, dining_room, master_bedroom, second_bedroom, kids_room, master_bathroom, and entrance at multiple timestamps (00:00, 00:30, 01:00).",
        "room_activity counts are low to moderate but do not contradict a vacant state if activity refers to passive sensor events rather than human presence."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential security breach or unauthorized entry due to high event count (1491) despite total vacancy.",
      "supported_by": [
        "event_count is very high (1491) while salient_event_count is relatively low (60), suggesting many noise events or sensor glitches.",
        "focus_event_count (78) is significant compared to salient events, implying specific systems triggered frequently."
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "High event count is caused by environmental factors (e.g., wind, pets, insects) or device malfunctions rather than human activity.",
      "supported_by": [],
      "contradicted_by": [
        "No specific evidence of malfunction or environmental triggers provided in the packet (e.g., no wind data, pet detection logs)."
      ]
    }
  ],
  "most_concerning_signals": [
    "Zero occupancy detected in both entrance and all interior rooms simultaneously over an extended period.",
    "Disproportionately high raw event count (1491) relative to salient/focus events, indicating potential sensor spoofing, glitching, or hidden movement not classified as 'salient'."
  ],
  "what_to_verify_in_raw_log": [
    "Check contact_sensor states for entrance_door_lock and all window_contact_sensors between 00:00 and 01:00 to confirm doors/windows were physically closed.",
    "Filter raw logs for motion vector data or heat signatures in the suspicious time window to distinguish between static sensor noise and actual micro-movements.",
    "Verify timestamp synchronization across all devices to rule out clock skew causing false simultaneous 'empty' readings.",
    "Inspect dishwasher, laundry_washer, and air_conditioner operation logs to see if appliance usage correlates with the high event count (suggesting residents are present but sensors are blind)."
  ],
  "provisional_risk": "medium"
}
```

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 1491,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 9,
    "living_room": 17,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 9,
    "kids_room": 9,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-28T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",

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

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

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The household is completely empty (vacant) during the reported monitoring period, indicated by zero occupancy in all sensitive rooms.",
      "supported_by": [
        "suspicious_signals shows OccupancySensing.Occupancy = 0 across living_room, dining_room, master_bedroom, second_bedroom, kids_room, master_bathroom, and entrance at multiple timestamps (00:00, 00:30, 01:00).",
        "room_activity counts are low to moderate but do not contradict a vacant state if activity refers to passive sensor events rather than human presence."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential security breach or unauthorized entry due to high event count (1491) despite total vacancy.",
      "supported_by": [
        "event_count is very high (1491) while salient_event_count is relatively low (60), suggesting many noise events or sensor glitches.",
        "focus_event_count (78) is significant compared to salient events, implying specific systems triggered frequently."
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "High event count is caused by environmental factors (e.g., wind, pets, insects) or device malfunctions rather than human activity.",
      "supported_by": [],
      "contradicted_by": [
        "No specific evidence of malfunction or environmental triggers provided in the packet (e.g., no wind data, pet detection logs)."
      ]
    }
  ],
  "most_concerning_signals": [
    "Zero occupancy detected in both entrance and all interior rooms simultaneously over an extended period.",
    "Disproportionately high raw event count (1491) relative to salien


SmokeCoAlarm 的 COState 变为 Warning 或 Critical

CO 报警是严重安全事件，不同于烟雾报警

紧急通知所有住户撤离，开窗通风，联系燃气公司

The home experienced a confirmed carbon monoxide alarm event while the property was unoccupied for over 8 hours, indicating a potential gas leak or malfunctioning appliance.

Explanation: Occupancy sensors reported 'Occupancy = 0' for all rooms from 00:00 until at least 04:00, and no entry events were logged before the alarm.

Explanation: At 08:35, the living room smoke/CO alarm triggered with explicit COState = 1 and Event: COAlarm(), confirming the presence of carbon monoxide.

Explanation: Temperature readings show a gradual rise (2273 to ~2380) during the empty period but a sharp spike to 2546 immediately coinciding with the alarm, suggesting an active heat source or rapid gas accumulation rather than sensor drift.

[2026-06-28T00:00:00] ... OccupancySensing.Occupancy = 0

Immediately evacuate the premises if occupants are present or if returning.

Do not re-enter until professional gas technicians verify the area is safe.

Inspect HVAC systems, water heaters, and attached garages for leaks or malfunctions once cleared.

Detailed sensor readings (temperature, humidity) in the living room leading up to and following the 08:35 event.

Activity logs for the living room to see if motion was detected prior to the alarm triggering.

Status of HVAC systems (air_conditioner) in the living room to rule out malfunction as a cause.

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 1491,
  "salient_event_count": 60,
  "focus_event_count": 81,
  "room_activity": {
    "kitchen": 10,
    "living_room": 21,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 8,
    "kids_room": 8,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-28T08:35:00] living_room_smoke_alarm | Event: COAlarm()",
    "[2026-06-28T08:35:00] living_room_smoke_alarm | COState = 1",
    "[2026-06-28T00:00:00] li

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Smoke alarm triggered in the living room indicating a potential fire hazard or carbon monoxide leak.",
      "supported_by": ["[2026-06-28T08:35:00] living_room_smoke_alarm | Event: COAlarm()", "[2026-06-28T08:35:00] living_room_smoke_alarm | COState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The house was completely empty (vacant) during the early morning hours from 00:00 to 01:00.",
      "supported_by": ["Multiple occupancy sensors reporting Occupancy = 0 between 00:00 and 01:00 across all rooms"],
      "contradicted_by": ["High activity counts in room_activity suggest recent or concurrent usage, though specific timestamps for these activities are missing"]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential safety risk due to smoke/CO detection while the home appeared vacant.",
      "supported_by": ["Smoke alarm activation at 08:35", "No recorded occupancy events immediately preceding or coinciding with the alarm in the provided log snippet"],
      "contradicted_by": ["Room activity data shows high activity in living_room (21), kitchen (10), etc., which might imply people were present later, but the temporal relationship to the 08:35 alarm is unclear without full logs"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-28T08:35:00] living_room_smoke_alarm | Event: COAlarm()",
    "[2026-06-28T08:35:00] living_room_smoke_alarm | COState = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of door lock status changes (entrance_occupancy vs contact_sensor) around 08:35 to determine if anyone entered or left.",
    "Detailed sensor readings (temperature, humidity) in the living


儿童进入危险区域操作危险设备

活动轨迹：儿童房 → 厨房

如果灶具有 OffOnly 限制，理论上不能远程开启——这意味着是物理操作

立即通知家长，如可能则远程关闭灶具（OffOnly命令）

The sequence of manual unlock followed by an immediate auto-lock without a confirmed occupant exit or intermediate motion detection suggests a potential tailgating event where an unauthorized individual may have entered while the door was held open.

Explanation: At 07:33:22, the front door was manually unlocked (State=2).

Explanation: The door contact sensor registered 'Open' (False) at 07:33:24 and 'Closed' (True) at 07:33:27, indicating the door remained open for approximately 3 seconds.

Explanation: Despite the door being open during this window, no occupancy change was logged in the living room, entrance, or hallway sensors between 07:33:20 and 07:33:35.

Explanation: An automatic lock command was issued at 07:33:28 immediately upon closure, which is suspiciously rapid for a standard resident exit routine that typically involves checking for pets/children or confirming absence before locking.

[2026-06-25T07:33:24] front_door_contact | BooleanState.StateValue = False

[2026-06-25T07:33:27] front_door_contact | BooleanState.StateValue = True

Absence of occupancy sensor triggers (OccupancySensing.Occupancy) in adjacent rooms during the 07:33:24–07:33:27 window despite the door being open.

Review security camera footage from the front entrance covering the 07:33:20 to 07:33:40 time window to identify any individuals entering.

Check smartphone location data or app logs to confirm if the primary resident exited the home completely between 07:33 and 07:35.

Inspect interior motion sensor logs to verify if the system failed to detect movement inside the house after the door opened.

[2026-06-25T16:35:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-25T17:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-25T22:34:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-25T06:31:12] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

Front door locked automatically (Source=Auto) at 22:34:16 after being unlocked manually earlier that evening.

Sequence at 07:33:22 - Manual Unlock followed 6 seconds later by Auto Lock. If this was a normal exit/entry, the auto-lock timing is suspiciously fast without an intermediate motion detection or user confirmation log, suggesting the door might have been held open briefly while someone else entered (tailgate) or the system logic is misinterpreting a rapid press-and-release as a lock/unlock cycle.

Late-night window openings (22:34) combined with zero occupancy readings afterward could indicate windows were left open inadvertently or intentionally for ventilation, reducing environmental control but not necessarily a security risk if doors are locked.

Motion sensor logs for entrance, hallway, and living room between 07:33:20 and 07:33:35 to confirm if anyone other than the primary resident passed through the doorway.

Door contact sensor state history during the 07:33 incident to verify duration of door opening.

Camera snapshots (if available) from entrance camera at 07:33:22.

Smartphone location data or app usage logs to correlate with the 'Manual' lock operations.

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 2297,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 15,
    "dining_room": 8,
    "master_bedroom": 10,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 8,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T07:33:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T07:33:28] front_door_lock | Event: L

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or 'tailgating' event at the front door between 07:33 and 07:38.",
      "supported_by": [
        "[2026-06-25T07:33:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-25T07:33:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-25T07:33:22] front_door_lock | DoorLock.LockState = 2 (Unlocked)",
        "[2026-06-25T07:33:28] front_door_lock | DoorLock.LockState = 1 (Locked)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents are awake and active during morning hours, followed by a standard nighttime routine.",
      "supported_by": [
        "Room activity counts show high engagement in kitchen, living_room, and dining_room early in the day.",
        "Front door locked manually multiple times during daytime (16:35, 17:57).",
        "Windows opened (kids_room_window, master_bedroom_window) late at night (22:34), likely for ventilation before sleep."
      ],
      "contradicted_by": [
        "The specific sequence of manual unlock -> immediate auto-lock with no reported occupancy change inside suggests a potential breach if someone entered without triggering motion sensors immediately upon the first unlock."
      ]
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Nighttime security protocol executed correctly with all rooms empty.",
      "supported_by": [
        "Multiple occupancy sensors reporting 0 at 00:00:00 across all monitored areas.",
        "Front door locked automatically (Source=Auto) at 22:34:16 after being unlocked manually earlier that ev


凌晨时段儿童房活动 → 离开房间去其他区域
家长卧室无活动（不是家长带着孩子）
低龄儿童深夜独自活动有安全风险（摔倒、误触电器等）

通知家长（轻柔方式），建议查看孩子情况

Analysis of raw logs confirms that all door lock state changes correspond to legitimate occupancy events (residents entering/leaving) and standard smart-lock automation cycles, with no evidence of unauthorized access or forced entry.

Explanation: The front door was manually unlocked at 07:11:17 immediately followed by a contact sensor detecting the door opening (False), then closing (True) and auto-locking within seconds, consistent with residents leaving for the day.

Explanation: The door remained locked until 18:04:00, when a resident manually unlocked it just before re-entering (contact sensor False -> True) at 18:04:02; this correlates with the subsequent arrival of occupants in the kids' room (18:02:08) and dining room (20:45:02).

Explanation: The late-night event at 22:45:20 shows the door unlocking automatically after the master bedroom window was opened (22:45:13) and the resident entered the room (22:45:09), indicating a routine return home rather than an intrusion.

[2026-06-15T07:11:19] front_door_contact | BooleanState.StateValue = False

[2026-06-15T18:04:02] front_door_contact | BooleanState.StateValue = False

[2026-06-15T22:45:09] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

No immediate action required; system behavior is consistent with normal household activity.

[2026-06-15T07:11:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T16:32:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T18:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T22:45:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T06:40:11] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-15T07:11:17] front_door_lock | DoorLock.LockState = 2

Check motion sensor logs (occupancy_sensor) in living_room, dining_room, and entrance between 18:04 and 22:45 to see if anyone entered via the front door after it was manually unlocked.

Verify the source IP or device ID for the 'Auto' lock operation at 07:11:21 to confirm if it was a smart lock feature triggered by closing the door or a remote command.

Cross-reference with camera footage (if available) or window coverings status to see if residents were actually home during the 18:04-22:45 window.

Check if the 'kids_room_window' opening/closing events correlate with any exterior noise or alarm triggers.

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 2298,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 9,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 12,
    "second_bedroom": 6,
    "kids_room": 14,
    "master_bathroom": 7,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-15T07:11:17] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T07:11:21] front_door_lock | Event: L

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential break-in or unauthorized entry event occurring early in the morning.",
      "supported_by": ["[2026-06-15T07:11:17] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-15T07:11:21] front_door_lock | DoorLock.LockState = 1 (Unlocked)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents leaving for work/school and securing the home later in the evening.",
      "supported_by": ["[2026-06-15T18:04:00] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-15T18:04:00] front_door_lock | DoorLock.LockState = 2 (Locked)"],
      "contradicted_by": ["[2026-06-15T22:45:20] front_door_lock | DoorLock.LockState = 1 (Unlocked at night while occupancy is low/zero)"]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Suspected tailgating or forced re-entry after the initial lock/unlock cycle in the morning.",
      "supported_by": ["Sequence: Manual Unlock (07:11:17) -> Auto Lock (07:11:21) -> Manual Lock (16:32:00) -> Manual Unlock (18:04:00). The gap between 18:04 (manual unlock) and 22:45 (auto unlock) suggests the door was left open for hours during evening activity."],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Manual unlock of front door at 07:11:17 followed immediately by auto-lock, but no subsequent manual lock until 16:32.",
    "Front door remained unlocked (State=1) from 18:04:00 until 22:45:20 while living room occupancy dropped to zero at midnight.",
    "High concentration of events in 'entrance' (21 events) compared to other rooms, indicating focused activity at the perimeter."
  ],
  "what_


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

立即提醒住户关闭灶具，如无法联系则自动关闭（如支持远程关闭）

Evidence strongly indicates a break-in attempt involving the opening of multiple windows and an automatic door lock engagement during unoccupied hours.

Explanation: Occupancy sensors confirm all rooms were empty between 21:08 (Kids Room window opened) and 23:20, ruling out normal resident activity.

Explanation: A sequence occurred where two separate windows (Kids Room then Master Bedroom) were opened within minutes of each other, followed immediately by the front door auto-locking at 22:18:22.

Explanation: The timing correlates with the 'most concerning signals' in Stage-1: window openings triggering a defensive or automated locking mechanism suggests either a smart-home glitch responding to intrusion or an intruder testing the system's response.

[2026-06-09T22:18:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

All occupancy sensors reported 0 during the window-opening events

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

Review physical security camera footage for the exterior of the home around 21:00-22:30 to identify any suspicious individuals.

Inspect the window tracks and motor logs for signs of forced entry or mechanical failure that triggered false open states.

[2026-06-09T07:10:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-09T16:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-09T17:47:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-09T06:15:16] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential forced entry or break-in attempt occurred around 22:18, indicated by the sequence of windows opening followed immediately by door locking.",
      "supported_by": [
        "[2026-06-09T21:08:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window Opened)",
        "[2026-06-09T22:18:17] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window Opened)",
        "[2026-06-09T22:18:22] front_door_lock | DoorLock.LockState = 1 (Door Locked)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Kitchen smoke alarm activation at 23:20 is a genuine safety event requiring verification.",
      "supported_by": [
        "[2026-06-09T23:20:00] kitchen_smoke_alarm | Event: SmokeAlarm()",
        "[2026-06-09T23:20:00] kitchen_smoke_alarm | SmokeState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "High frequency of manual lock/unlock operations suggests potential testing, distraction tactics, or unauthorized access attempts outside normal hours.",
      "supported_by": [
        "Multiple Manual LockOperation events at 07:10:25, 16:00:00, and 17:47:00 within short intervals",
        "Auto-lock triggered at 22:18:22 immediately after window openings"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Sequence: Kids Room Window Open -> Master Bedroom Window Open -> Front Door Lock State Change (Manual then Auto) within 5 minutes.",
    "Kitchen Smoke Alarm Trigger at Night (23:20).",
    "Rapid succession of multiple manual lock operations."
  ],
  "what_to_verify_in_raw_log": [
    "Motion sensor logs for Kitchen, Living Room, Entrance, and Hallway between 21:00 and 22:30 to confirm human presence vs. environmental triggers.",
    "Specific timestamp of the 'SmokeState' transition and any associated temperature/humidity spikes in the Kitchen.",
    "Access control logs to determine if the manual unlocks/locks at 16:00 and 17:47 correspond to authorized user IDs or generic system events.",
    "Window cover motor error logs to rule out mechanical failure causing false 'open' readings."
  ],
  "provisional_risk": "high"
}
```

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 2313,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 11,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 13,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 7,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-09T07:10:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T07:10:32] front_door_lock | Event:

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

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

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential forced entry or break-in attempt occurred around 22:18, indicated by the sequence of windows opening followed immediately by door locking.",
      "supported_by": [
        "[2026-06-09T21:08:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window Opened)",
        "[2026-06-09T22:18:17] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window Opened)",
        "[2026-06-09T22:18:22] front_door_lock | DoorLock.LockState = 1 (Door Locked)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Kitchen smoke alarm activation at 23:20 is a genuine safety event requiring verification.",
      "supported_by": [
        "[2026-06-09T23:20:00] kitchen_smoke_alarm | Event: SmokeAlarm()",
        "[2026-06-09T23:20:00] kitchen_smoke_alarm | SmokeState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "High frequency of manual lock/unlock operations suggests potential testing, distraction tactics, or unauthorized access attempts outside normal hours.",
      "supported_by": [
        "Multiple Manual LockOperation events at 07:10:25, 16:00:00, and 17:47:00 within short intervals",
        "Auto-lock triggered at 22:18:22 immediately after window openings"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Sequence: Kids Room Window Open -> Master Bedroom Window Open -> Front Door Lock State Change (Manual then Auto) within 5 minutes.",
    "Kitchen Smoke Alarm Trigger at Night (23:20).",
    "Rapid succession of multiple manual lock operations."
  ],
  "what_to_verify_


CO 报警是严重安全事件，不同于烟雾报警

紧急通知所有住户撤离，开窗通风，联系燃气公司

A Carbon Monoxide alarm was triggered in the living room at 09:59 while occupants were present, indicating a potential gas leak or faulty appliance.

Explanation: Raw logs confirm a COAlarm() event and COState=1 at 2026-06-15T09:59:00.

Explanation: Occupancy sensors show people were present in the master bathroom and dining room immediately after (09:59:07), ruling out an empty-house false positive.

Explanation: Kitchen temperature readings prior to the incident showed a gradual rise, suggesting active appliance usage which could be the source.

[2026-06-15T09:59:00] living_room_smoke_alarm | Event: COAlarm()

[2026-06-15T09:59:00] living_room_smoke_alarm | COState = 1

[2026-06-15T09:59:07] dining_room_occupancy | OccupancySensing.Occupancy = 1

Immediately evacuate all occupants from the house.

Ventilate the area by opening windows if safe to do so.

Do not restart any kitchen appliances until professional inspection confirms it is safe.

Contact emergency services or a gas utility provider for immediate assistance.

[2026-06-15T07:41:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T16:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T17:48:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T22:34:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T06:36:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

Check kitchen_appliance logs (cook_surface, dishwasher) around 09:59 for error codes or power cycles.

Verify front_door_lock raw signal timestamps between 16:07 and 17:48 to confirm if two separate unlock events occurred or if it was a hold-to-unlock duration.

Check kids_room_occupancy_sensor status between 06:36 and 21:17 to determine if anyone was trapped when the window was closed.

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 2463,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 7,
    "living_room": 17,
    "dining_room": 8,
    "master_bedroom": 10,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 8,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-15T07:41:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T07:41:30] front_door_lock | Event: L

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Household occupants are leaving or have left the house during early morning and evening hours.",
      "supported_by": ["front_door_lock: Manual Lock at 07:41, 16:07, 17:48", "front_door_lock: Auto Unlock at 22:34", "multiple occupancy sensors reporting '0' (empty) at midnight"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "A Carbon Monoxide (CO) alarm was triggered in the living room around 09:59, indicating a potential gas leak or faulty appliance.",
      "supported_by": ["living_room_smoke_alarm: COAlarm() event at 09:59", "living_room_smoke_alarm: COState = 1 at 09:59"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Children's room window covering is fully closed (0%) while other rooms show activity or later opening patterns, suggesting potential entrapment or unusual state.",
      "supported_by": ["kids_room_window: CurrentPositionLiftPercent100ths = 0 at 06:36"],
      "contradicted_by": ["kids_room_window: CurrentPositionLiftPercent100ths = 10000 at 21:17 (later opened)"]
    },
    {
      "id": "H4",
      "type": "anomaly",
      "description": "Front door was manually unlocked twice in rapid succession (16:07 -> 17:48), which may indicate testing, forced entry attempt followed by exit, or user error.",
      "supported_by": ["front_door_lock: LockOperationType=1 (Unlock?) at 16:07 and 17:48 with gap of ~1.5 hours", "Note: LockState changed to 2 (locked) immediately after each manual lock op suggests re-locking quickly or sensor glitch"],
      "contradicted_by": ["Auto unlock happened cleanly at 22:34"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-15T09:


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

火灾风险警报，建议住户检查该区域电器

An intruder or unauthorized person manually unlocked the front door, entered the house (confirmed by contact sensor change), and exited before the system could auto-lock.

Explanation: Manual unlock event occurred at 07:44:24 immediately followed by a transition in the door contact sensor from closed to open (07:44:26).

Explanation: The door remained physically open until 07:44:30 when the sensor returned to closed, indicating physical passage through the doorway.

Explanation: The subsequent auto-lock command at 07:44:31 locked the door while it was already closed, confirming the sequence of 'Unlock -> Enter -> Exit -> Lock' rather than a normal resident action where the door would likely remain closed longer.

[2026-06-02T07:44:26] front_door_contact | BooleanState.StateValue = False

[2026-06-02T07:44:30] front_door_contact | BooleanState.StateValue = True

Immediately review CCTV footage for the time range 07:44:00 to 07:45:00 to identify the individual at the front door.

Change all home network passwords and smart lock PINs/code immediately.

Contact local law enforcement to file a report regarding the attempted/breached entry.

[2026-06-02T07:44:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-02T16:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-02T18:11:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-02T22:23:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-02T06:43:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-02T07:44:24] front_door_lock | DoorLock.LockState = 2

Residents are closing curtains/blinds in bedrooms and kids' room as evening approaches (indicated by window covering position changing to closed/high value).

kids_room_window... = 0
master_bedroom_window... = 10000
master_bedroom_window... = 10000

Raw timestamped logs for 'front_door_contact_sensor' around 07:44:24 to confirm if the door was actually opened physically between the manual unlock and auto-lock events.

Logs for 'living_room_light' and 'kitchen_cook_surface' status at 14:53:00 to rule out steam/false-positive on smoke alarm.

Sequence of events for 'front_door_lock' after 18:11:00 to verify if the door remained locked (State=2) until the end of the day or if it was opened again.

Check 'temperature_patterns' data source availability; currently empty list may hide heat signatures related to the smoke event.

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

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

## Layout
Layout: 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": "SQ4",
  "event_count": 2288,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 8,
    "living_room": 17,
    "dining_room": 8,
    "master_bedroom": 11,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 6,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-02T07:44:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T07:44:31] front_door_lock | Event: L

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unauthorized entry or forced opening of the front door detected, indicated by a manual unlock immediately followed by an auto-lock event, occurring before the final confirmed lock state.",
      "supported_by": ["[2026-06-02T07:44:24] front_door_lock | LockOperation(LockOperationType=1...Manual)", "[2026-06-02T07:44:31] front_door_lock | LockOperation(LockOperationType=0...Auto)", "[2026-06-02T07:44:31] front_door_lock | DoorLock.LockState = 1 (Unlocked)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled daily reset of occupancy sensors at midnight indicating no occupants were detected in bedrooms/living areas at that specific timestamp.",
      "supported_by": ["Multiple entries for 'OccupancySensing.Occupancy = 0' at 2026-06-02T00:00:00 across multiple rooms"],
      "contradicted_by": ["High activity counts in room_activity for other times (e.g., entrance: 21), suggesting people moved through these spaces later in the day."],
      "status": "Contextually normal but requires checking if the time zone or sensor logic causes false negatives during active hours"
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Smoke alarm activation suggests a fire hazard or false positive from cooking/steam; requires verification against light states and temperature logs.",
      "supported_by": ["[2026-06-02T14:53:00] living_room_smoke_alarm | SmokeState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H4",
      "type": "normal",
      "description": "Residents are closing curtains/blinds in bedrooms and kids' room as evening approaches (indicated by window covering position changing to closed/high valu