A data processing method for highway video monitoring system

Abstract

The invention provides a data processing method for a highway video monitoring system, the method comprising: a plurality of cameras respectively transmit the collected videos to a video aggregation and processing integrated machine in real time; After processing, it is sent to the cloud service system for storage. The cloud service system includes multiple cloud server nodes; the video aggregation and processing machine receives the video playback request from the client and then obtains the video stream from the cloud service system according to the playback request and sends it to the client for playback. The invention solves the technical problem of large data delay in the existing highway video monitoring system, and the invention enables video data to be on-demand according to the required definition, and code streams can be multiplexed, reducing the use of network bandwidth and improving In order to improve the network performance, a scheduling algorithm for converging service nodes and server nodes is proposed, which solves the technical problems of inflexible scheduling and unbalanced load, and improves system performance.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a data processing method of a highway video monitoring system. Background technique [0002] The traditional highway monitoring video networking system adopts a multi-level and multi-domain networking architecture, and uploads video data level by level according to the four-level networking structure of "Ministry of Transport Center - Provincial Monitoring Center - Road Section Monitoring Center - Basic Monitoring Unit". [0003] The traditional expressway toll system has realized national network toll collection and adopts a closed toll collection model. From January 2020, toll stations at provincial borders on expressways will be cancelled, and the existing closed toll collection model will be transformed into an open free-flow segmental toll collection model. Set up ETC masts in the road section before the traffic flow changes (such as entry / exit ramps, int...

AI Technical Summary

Problems solved by technology

However, the existing highway video monitoring system has a large data delay, and the video data cannot be on-demand according to the needs. The bandwidth occupied by the video data transmission is large, which affects the network performance. The scheduling between server nodes is not flexible, resulting in service The load of the nodes is unbalanced, which affects the system performance. Therefore, the existing highway video surveillance system cannot meet the needs of the new charging model mentioned above.

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