Data management system and data management method for vehicle monitoring system

Abstract

The invention provides a data management system for a vehicle monitoring system. The data management system comprises a communication server, a relational database server and a client server, the communication server, the relational database server and the client server are connected with a data management module, the data management module is further connected with a memory database module, and the client server is connected with the memory database module and the relational database server. Real-time monitoring data can be stored into the memory database module by the data management module of the data management system, the client server can directly access the memory database module to read the corresponding monitoring data, data reading processes are simplified as compared with the mode of writing data into a relational database and then reading the data from the relational database, so that data reading speed is effectively increased, and the real-time performance of the monitoring data is greatly improved.

Description

technical field [0001] The invention relates to a data management system and a data management method, in particular to a data management system and a data management method for a vehicle monitoring system. Background technique [0002] At present, the background of the vehicle remote monitoring system generally adopts a technical framework such as a communication server plus a relational database server plus a client server. The communication server is responsible for data interaction with the vehicle data terminal. At the same time, the communication server directly stores the data from the vehicle into the relational database, and the client server extracts the data that the user is viewing or using from the relational database. [0003] Such a system architecture does not take into account the characteristics of the vehicle monitoring application itself. First of all, the vehicle remote monitoring system needs to monitor a large number of vehicles and a large number of ...

AI Technical Summary

Problems solved by technology

[0005] 1) The data storage capacity cannot meet the needs of the application. At the data writing end from the communication server to the relational database, due to the large number of vehicles and signals of single vehicles, and the data are all single and sporadic data, if traditional mechanical hard disks are used, A single IO operation can only write a small amount of data, which will soon reach the IO limit of the hard disk. Although the IO capability of the solid-state hard disk can meet the demand, its storage cost will increase exponentially, and the capacity of the solid-state hard disk is limited, which cannot meet the requirements. long-term storage requirements

Although the use of Oracle's RAC technology can meet the needs of the system, the cost of software and hardware of RAC itself is very high, and the cost performance of the solution itself is not high

[0006] 2) Data query response is slow

As time goes by, the amount of data stored in the database will gradually increase, and the corresponding data query speed will also be affected. At the same time, data query will also occupy the IO resources of the database server and increase the burden on the database server.

Affect the stability of the system, in severe cases, it will cause the system to crash

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