Decentralized data communication system and method for urban curb parking management

Abstract

The invention provides a decentralized data communication system for urban curb parking management, and the system comprises a communication gateway cluster comprising a plurality of edge computing server gateways; an edge computing server cluster which comprises a plurality of edge computing servers and is connected with the communication gateway cluster; and a wireless communication module which is connected with the communication gateway cluster and the edge computing server cluster. The beneficial effects of the invention are that through clustering deployment of the communication gateway cluster, the edge computing server cluster and the wireless communication module, the problem that the whole system is unavailable due to a single-point fault can be effectively solved; through deployment of local service nodes of the edge computing server cluster, the edge computing server cluster has independent service processing capacity, high accessibility is guaranteed, and service processing cannot be affected even if communication with the cloud server is interrupted; through the wireless communication module, deployment is not limited by a machine room, and decentralized deployment and data communication are truly realized.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a decentralized data communication system and method for on-street parking management in cities. Background technique [0002] Most of the existing management platforms in the field of urban on-street parking use centralized data reporting technology, that is, terminal devices installed in on-street parking spaces directly report the collected on-site data to the central server, and then the central server performs Subsequent business processing. The data reporting of this type of system is one-way. At the same time, there is no data processing capability locally, and it strongly relies on the processing capability of the centralized cloud server. Once the central server fails, the entire business system will not be able to operate. [0003] One of the commonly used optimization methods at present is to use hot backup technology to back up the central server, but this m...

AI Technical Summary

Problems solved by technology

The data reporting of this type of system is one-way. At the same time, there is no local data processing capability, and it strongly relies on the processing capability of the centralized cloud server. Once the central server fails, the entire business system will fail to operate.

[0003] One of the commonly used optimization methods is to use hot backup technology to back up the central server, but this method is still limited by the environment of the hosting computer room, for example, the same network line is still used in the same computer room

[0004] The second commonly used optimization method is to use the hot backup method of different computer rooms, but this method also has problems such as untimely switching process and delay in switching networks when a failure occurs.

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