Dangerous goods transportation vehicle prevention tracking system and method based on multi-source data fusion

Abstract

The invention relates to a dangerous goods transportation vehicle prevention tracking system and method based on multi-source data fusion. The tracking system comprises a vehicle-mounted terminal module, a road-side node device, an edge data processing module, a network transmission module, a remote monitoring system and a data storage module; the vehicle-mounted terminal module uploads position information of the dangerous goods transportation vehicle to the remote monitoring system through the network transmission module; and the edge data processing module can be used as an edge node of a certain area to process and store data. According to the invention, the multi-source data are collected through road side nodes and processed through the edge data processing module; the system has strong anti-external interference capability; the tracking system is simple in structure and low in cost; and the problems of no signal, poor signal, large data error and the like of a satellite positioning system in a special terrain are solved. And the information such as the position, identity and the like of the dangerous goods transportation vehicle can be displayed on the platform of the traffic management department in real time.

Description

technical field [0001] The present invention relates to the field of edge computing, in particular to a system and method for preventing and tracking dangerous goods transport vehicles based on multi-source data fusion, which realizes high-precision tracking by fusing edge computing and multi-source data collected by various devices. Background technique [0002] In recent years, with the rapid development of my country's economy, the number of motor vehicles has continued to grow rapidly, road traffic accidents have occurred frequently, and road congestion in large cities has become extremely congested and tends to spread to small and medium cities. The image recognition system is widely used to monitor the running status of vehicles and provide evidence for the punishment of illegal acts, so as to regulate the traffic order and alleviate the accident rate and road congestion to a certain extent. However, in practical applications, the recognition rate of the image recogniti...

AI Technical Summary

Problems solved by technology

Video-based vehicle tracking, compared with GPS, has greatly improved the tracking accuracy of vehicle trajectories, but because the setting of traffic cameras generally cannot guarantee the continuity of tracking, the path of vehicle tracking is relatively short, which is difficult for actual dangerous goods transport vehicles. There is little regulatory significance, and the video processing process is also greatly affected by weather and light

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