A road vehicle monitoring platform system based on dual server clusters

Abstract

The invention discloses a road vehicle monitoring platform system based on double server clusters. The road vehicle monitoring platform system based on the double server clusters comprises a data center, wherein the data center is connected with a monitoring and management server cluster and a communication server cluster, the monitoring and management server cluster is uniformly connected with a management terminal, and the communication server cluster is uniformly connected with a vehicle-mounted terminal; the data center comprises a WebGis server and a database server, and the WebGis server and the database server are connected with each other; the communication server cluster comprises two or more communication servers, each communication server has a unique physical IP address, and a virtual communication server cluster IP address is set for the communication server cluster; the monitoring and management server cluster comprises two or more monitoring and management servers, and a virtual monitoring and management server cluster IP address is set for the monitoring and management server cluster; the WebGis server is used for providing a map engine service; the database server stores a mapping table between all vehicle-mounted terminals and the corresponding communication servers.

Description

technical field [0001] The invention relates to the field of vehicle networking and road vehicle monitoring, in particular to a road vehicle monitoring platform system based on dual server clusters. Background technique [0002] With the continuous improvement of the country's economic level, the number of road transport vehicles has increased rapidly in recent years. Strengthening the supervision of road transport vehicles, especially the vehicles engaged in the transport of dangerous goods, long-distance passenger transport, cargo transport and logistics transport, has become a matter of great concern to the relevant government departments. In addition, road transportation companies are paying more and more attention to improving the economic efficiency of enterprises and strengthening transportation safety monitoring through technical means. With the increasing demand of government departments, enterprises and the public for the positioning and safety services of operati...

AI Technical Summary

Problems solved by technology

[0005] 1. Poor concurrency performance and poor resource scalability:

[0006] Due to the limited hardware resources, the design of the previous monitoring platform needs to fully consider the number of terminals in demand at the same time, but even so, it is difficult to accurately predict the actual growth of vehicles over a period of time

Many platforms can withstand 1,000 or 2,000 terminals online at the same time, but when the number of vehicles exceeds this number, the terminal cannot be connected or even the system will crash

The only way to solve this problem is to redesign the system and purchase newer hardware

[0007] 2. Poor scalability of platform functions and large resource redundancy:

It is difficult for a system to easily adapt to changes in customer needs, and it is difficult to be compatible with the applications of units with similar needs, resulting in different departments using different management platforms, and the basic functions used are generally similar

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