异常检测方法、装置、电子设备及存储介质

By acquiring the temperature and distribution information of the heat source under the vehicle, and combining it with the vehicle type and decay time constant, the predicted temperature deviation and rate are calculated, solving the problem of all-weather security intrusion detection at the bottom of vehicles in underground parking garages, and achieving security detection with low false alarm rate and high reliability.

CN122416601APending Publication Date: 2026-07-17QINHUANGDAO TANDA TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
QINHUANGDAO TANDA TECH CO LTD
Filing Date
2026-05-07
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Underground parking garages are enclosed and dark environments, and people can easily hide in the concealed spaces under vehicles. Existing vehicle under-vehicle personnel detection technologies are inefficient, have a high false alarm rate, and are expensive and poorly adaptable.

Method used

By acquiring the heat source temperature and distribution information under the vehicle, and combining the vehicle type with the pre-established correspondence between the heat source area and the decay time constant, the predicted temperature is calculated and the temperature deviation is judged. Combined with the heat source temperature rise rate and duration, alarm information is output to identify abnormal intrusion.

Benefits of technology

It enables all-weather, low-false-alarm security intrusion detection of the bottom of vehicles in underground parking garages, adapts to different vehicle models, reduces detection costs, and improves the intelligence and reliability of security management.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请提供的一种异常检测方法、装置、电子设备及存储介质,通过获取停入车位的车辆车底的热源温度及热源温度的分布信息;基于所述热源温度和所述分布信息确定是否存在车底异常入侵;在确定存在车底异常入侵的情况下,输出告警信息,本申请实施例提供的方法,依托车底热源温度与分布信息完成入侵检测,适配地下车库暗光封闭场景,能够实现地下车库车辆底部位全天候、低误报的安全入侵检测。
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