The invention relates to the technical field of road monitoring, and discloses a multi-angle road monitoring system based on machine learning, a data acquisition module is added in an original road monitoring system, multi-angle data acquisition is completed by coordinating nearby monitoring to perform angle rotation when data acquisition is performed through single monitoring, and data features are learned through artificial intelligence, so that the data acquisition efficiency is improved. The learning of the data features comprises multi-angle features and interval time features, and the artificial intelligence forms a monitoring alarm for abnormal data and reports the monitoring alarm to the alarm module. According to the method, the multi-angle data features of the suspected abnormal data are captured, meanwhile, the data features of the same road section in the same time period every day are captured, and the abnormal data of the upstream road section are reversely detected through the abnormality of the same road section in the same time period, so that the judgment of the suspected abnormal data is greatly improved; and the abnormal road sections can be screened more quickly to find the actual abnormal road.

    本发明涉及道路监控技术领域,公开了一种机器学习的多角度道路监控系统,在原有道路监控系统中加入数据采集模块,通过单一监控进行数据采集时协调附近监控进行角度转动完成多角度数据采集,通过人工智能对数据特征的学习,数据特征的学习包括多角度特征和区间时间特征,人工智能将异常数据形成监控警告,并上报警告模块。本发明通过将疑似异常数据的多角度数据特征进行捕捉,同时对每天同一时段同一路段的数据特征进行捕捉,通过同一路段的同一时段的异常反检上游路段的异常数据,有利于大大提高对疑似异常数据的判断,有利于更为快速对异常路段进行筛选找寻实际异常道路。


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    Title :

    Machine learning multi-angle road monitoring system


    Additional title:

    一种机器学习的多角度道路监控系统


    Contributors:
    ZHOU YE (author)

    Publication date :

    2022-04-12


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / H04N PICTORIAL COMMUNICATION, e.g. TELEVISION , Bildübertragung, z.B. Fernsehen



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