115 lines
4.7 KiB
JSON
115 lines
4.7 KiB
JSON
{
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"_meta": {
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"description": "SafeHome 异常场景分类体系",
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"分类逻辑": "先按威胁大类分，再按适用的住户画像标记，每种异常都配有对应的误报(FP)场景"
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},
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"categories": {
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"intrusion": {
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"name": "入侵类",
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"description": "未授权人员进入住宅",
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"severity": "critical",
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"scenarios": [
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"INS-01: 窗户入侵（夜间破窗）",
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"INS-02: 门锁暴力破解",
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"INS-03: 尾随入室",
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"INS-04: 白天撬窗入室（住户外出时）",
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"INS-05: 伪装开锁（使用被盗/复制的凭证）"
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]
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},
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"fire_gas": {
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"name": "火灾/燃气类",
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"description": "火灾风险、燃气泄漏、一氧化碳",
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"severity": "critical",
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"scenarios": [
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"FG-01: 厨房忘关火",
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"FG-02: 电器过热起火",
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"FG-03: CO浓度升高（燃气热水器/壁挂炉故障）",
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"FG-04: 烟雾报警器低电量时发生烟雾事件"
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]
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},
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"water_damage": {
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"name": "水损类",
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"description": "漏水、水管破裂、设备漏水",
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"severity": "high",
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"scenarios": [
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"WD-01: 卫生间水管漏水",
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"WD-02: 洗碗机/洗衣机漏水",
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"WD-03: 无人在家时漏水持续"
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]
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},
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"device_fault": {
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"name": "设备故障类",
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"description": "设备异常工作、传感器故障",
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"severity": "medium",
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"scenarios": [
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"DF-01: 温度传感器读数固定（stuck-at）",
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"DF-02: 温度传感器读数漂移（drift）",
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"DF-03: 运动传感器持续触发（误报或硬件故障）",
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"DF-04: 门锁响应异常（命令无响应/状态不一致）",
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"DF-05: 烟雾报警器硬件故障自检失败",
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"DF-06: 窗帘电机卡住（操作状态一直是moving但位置不变）"
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]
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},
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"elderly_specific": {
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"name": "老人特有类",
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"description": "独居老人场景特有的异常",
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"severity": "high",
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"applicable_profiles": ["elderly_living_alone"],
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"scenarios": [
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"EL-01: 疑似跌倒（卫生间/浴室长时间有人但无后续活动）",
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"EL-02: 疑似跌倒（某房间运动触发后长时间全屋无活动）",
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"EL-03: 忘记关火（灶具长时间开启+厨房无人）",
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"EL-04: 作息异常（平时6点起床但到9点仍无任何活动）",
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"EL-05: 夜间频繁起夜（频繁的卧室→卫生间往返）",
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"EL-06: 忘记锁门（出门后门锁未锁定）",
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"EL-07: 长时间未归（出门后超过预期时间未回家）"
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]
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},
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"child_specific": {
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"name": "儿童特有类",
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"description": "有小孩家庭场景特有的异常",
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"severity": "high",
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"applicable_profiles": ["family_with_children"],
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"scenarios": [
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"CH-01: 儿童独自在家异常（非预期时段仅儿童房有活动）",
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"CH-02: 儿童进入危险区域（儿童房活动后→厨房灶具开启）",
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"CH-03: 儿童深夜活动（儿童房半夜运动传感器触发+灯开+离开房间）",
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"CH-04: 儿童尝试开门外出（入户门解锁尝试+无成人在场）",
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"CH-05: 儿童长时间无活动（放学回家后长时间仅一个房间有信号然后消失）"
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]
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},
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"behavioral_anomaly": {
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"name": "行为模式异常类",
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"description": "不符合住户日常行为规律的活动模式",
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"severity": "medium",
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"scenarios": [
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"BA-01: 深夜异常活动（凌晨2-5点非惯常的多房间活动）",
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"BA-02: 设备使用模式突变（平时不做饭的时间段灶具开启）",
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"BA-03: 异常高的设备交互频率（短时间内大量开关灯）",
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"BA-04: 不合理的房间移动序列（直接从阳台到卧室，跳过中间房间）",
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"BA-05: 假期模式中的异常活动（已知出远门但家中出现活动）"
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]
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}
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},
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"false_positive_categories": {
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"description": "每种异常类都有对应的误报场景，LLM需要能区分",
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"examples": {
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"intrusion_fp": "深夜起来喝水/上厕所，看起来像入侵但是正常行为",
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"fire_fp": "正常做饭导致的烟雾/温度上升，不是火灾",
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"elderly_fp": "老人午睡时间长，不是跌倒",
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"child_fp": "孩子周末在家正常活动，不是异常独处",
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"device_fp": "季节变化导致的温度读数变化，不是传感器故障"
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}
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},
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"total_scenario_count": {
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"intrusion": 5,
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"fire_gas": 4,
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"water_damage": 3,
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"device_fault": 6,
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"elderly_specific": 7,
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"child_specific": 5,
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"behavioral_anomaly": 5,
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"total": 35
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}
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}
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