Method for parsing, storing and real-time displaying of high-concurrency vehicle acquisition data

Abstract

The invention provides a method for parsing, storing and real-time displaying of high-concurrency vehicle acquisition data. A front-end processor server collects automobile data via an intelligent terminal, and sends the automobile data to an MQ server after processing; the MQ server receives and classifies the processed automobile data, and stores the data into a corresponding message queue; a business processing server processes the data in the MQ server, and sends information needing to be pushed to a client by calling an application server; and meanwhile, the data is stored into a database via a database server. Thus, the usage for users is facilitated.

Description

technical field [0001] The invention relates to a method for analyzing and storing highly concurrent vehicle-mounted collected data and presenting it in real time. Background technique [0002] The vehicle-mounted monitoring platform adopts advanced technologies such as dynamic target tracking, position positioning, navigation and map matching, and is mainly used in vehicle positioning monitoring. By installing intelligent vehicle-mounted terminal equipment on the vehicle, the device will automatically report its location information at regular intervals The front-end processor of the software platform is responsible for receiving, analyzing, and even storing and finally presenting the data to the user display interface, such as figure 1 Shown: [0003] The front-end processor, as the communication processing center of the entire system, realizes data reception, data delivery, message analysis, link maintenance, etc. between the intelligent terminal and sends it to the busi...

AI Technical Summary

Problems solved by technology

[0008] Due to the large number of smart terminals and the high frequency of data reporting, there is a high requirement for the concurrent capability of the system. Under this solution, frequent calls between the front-end server and the business processing server often lead to Overwhelmed, prone to downtime or data loss

In addition, because all data presentation of the application server needs to pass through the database, some data with high real-time requirements cannot be presented in time, such as real-time location data, terminal alarm data, etc., and if the frequency of database polling and reading is increased, It will also cause excessive pressure on the database server, or even downtime.

Therefore, the solution of the background technology has shortcomings such as incomplete data, unstable system, and slow response speed in dealing with large concurrent data.

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