基于事件响应的公路管理系统

By constructing time-domain variation curves and corroborating correlation analysis, the problems of wasted computing resources and poor real-time performance in the highway monitoring system were solved, and efficient abnormal event identification and rapid response were achieved.

CN122049787BActive Publication Date: 2026-07-17CHINA MERCHANTS XINZHI TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA MERCHANTS XINZHI TECH CO LTD
Filing Date
2026-04-17
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In the existing highway monitoring system, the raw code streams generated by massive acquisition terminals need to be decoded and analyzed across the entire domain, which leads to a waste of computing resources, high computation time, poor real-time performance, and failure to consider the regularity of traffic flow in the time domain of a single terminal, thus reducing the efficiency of abnormal event identification.

Method used

The original bitstream from the acquisition terminal is obtained through the multi-source sensing module. The coding domain features are extracted to construct the time-domain change curve. The time-domain change curve is segmented and classified using the correlation processing module. The analysis module performs corroborating correlation analysis. The intelligent processing module decodes and analyzes the original bitstream within the time-domain interval based on the corroborating correlation tags. The response module performs anomaly handling.

Benefits of technology

The number of decoded frame verifications was reduced, improving the reliability and efficiency of anomaly identification and ensuring the accuracy and real-time performance of anomaly identification.

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Abstract

本发明涉及智慧公路管理领域,尤其涉及基于事件响应的公路管理系统,本发明通过设置多源感知模块获取采集终端的原始码流并提取编码域特征构建时域变化曲线,通过关联处置模块对时域变化曲线进行分割处理,对所得曲线段进行分类,构建曲线段之间的佐证关联关系,分析模块依据曲线段的类别进行佐证关联分析,为曲线段设置佐证关联标签,智能处置模块依据佐证关联标签对各所述时域区间内的原始码流进行解码分析,响应模块用以进行异常处置。本发明针对设置佐证关联标签的曲线段适应性的进行解码分析进而减少解码帧验证数量,并保证异常识别的可靠性和识别效率,并将异常信息及时推送至响应端以及路侧显示牌,提高应急处置效率。
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