The invention discloses an expressway tunnel abnormal event alarm method and system based on multiple information channels, and the method comprises the steps: collecting a video image signal in an expressway tunnel; processing the video image signal by adopting a background splitting algorithm to obtain information of each vehicle; tracking each piece of vehicle information to calculate corresponding vehicle data information, comparing the vehicle data information with preset vehicle threshold data information to judge whether abnormal event data exist or not, and the vehicle data information comprising existence data information, speed data information and parking data information. Under the condition of judging that abnormal event data exist, the method overcomes the defects that in the prior art, highway tunnel monitoring is single and not comprehensive, accuracy of automatic abnormal event recognition is low, early warning and monitoring cannot be conducted timely and accurately after abnormal events occur, accident processing is not timely, and more serious secondary accidents are caused.
本发明公开了一种基于多信息渠道的高速公路隧道异常事件报警方法和系统,其中,所述方法包括:采集高速公路隧道内的视频图像信号;采用背景拆分算法对所述视频图像信号进行处理以获取每一个车辆信息;分别对每一个车辆信息进行跟踪以计算出其对应的车辆数据信息,并且与预设的车辆阈值数据信息进行比较以判断是否存在异常事件数据,所述车辆数据信息包括存在数据信息、速度数据信息以及停车数据信息;在判断存在异常事件数据的情况下,该方法克服现有技术中的高速公路隧道监控单一不够全面,而且自动识别异常事件的准确性低,以造成发生异常事件后无法及时准确地预警和监控到,从而事故处理不及时,而造成更加严重的二次事故的问题。
Expressway tunnel abnormal event alarm method and system based on multiple information channels
一种基于多信息渠道的高速公路隧道异常事件报警方法和系统
2022-02-25
Patent
Electronic Resource
Chinese
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