Storage and processing method and system of rail transit monitoring data

Abstract

The invention relates to a storage and processing method and a system of rail transit monitoring data. The method comprises the steps that centralized monitoring systems are established in a station, an electric service section and a railway management department; a centralized monitoring system of the station acquires various monitoring data; the centralized monitoring system of the electric service section acquires the monitoring data acquired by the centralized monitoring system of the station; an HDFS (Hadoop Distributed File System), an Hbase database, an Oracle database and a MapReduce parallel processing framework are established on a comprehensive operation and maintenance platform to form a cloud computing platform; the monitoring data is stored, analyzed and mined to generate knowledge rule data and various statistical information; and the centralized monitoring system of the railway management department generates and feeds back a dispatch control command to the centralized monitoring system of the electric service section. According to the method and the system, a cloud storage technology and the parallel processing framework are adopted, the storage, analysis and processing efficiency of rail transit resources and data is improved, and the safety and high usability of the data are ensured.

Description

technical field [0001] The invention provides a method and system for storing and processing rail traffic monitoring data, which relates to technical fields such as railway signal data, railway communication data, railway knowledge data, system alarm data, cloud computing, cloud storage, parallel computing, etc. Storage and data processing of rapidly expanding railway monitoring data in technology. Background technique [0002] The existing rail transit monitoring data storage scheme is to store the historical monitoring data of each electrical section in each electrical section, and the data analysis and mining are also processed by each electrical section. [0003] Such as figure 1 As shown, the existing storage system includes: a centralized monitoring system (CSM) data processing server 11 located in the electrical workshop or work area; a data analysis server 12 located in the monitoring center of the electrical section of each site, and human-computer interaction inpu...

AI Technical Summary

Problems solved by technology

[0007] 1) High cost: The traditional storage solution requires the monitoring data of each workshop / site to be stored in the database of each electric service section, and the analysis and mining of the monitoring data are also stored in each electric service section for separate

This requires that each power section needs to be equipped with high-performance servers and storage devices, and at the same time, it is necessary to hire special equipment maintenance personnel

[0008] 2) Low resource utilization: when the frequency of knowledge mining (such as fault rules) for monitoring data is low in the electric service section, the data analysis server of the electric service section is idle most of the time

[0009] 3) The utilization rate of data relationship is low: because the monitoring data of each electric service section is stored separately, the data of each electric service section is also isolated when analyzed and mined, which makes the knowledge obtained by mining limited to this electric service section. part

[0011] 5) It does not support parallel computing and information query by lines, telegraph sections, etc.

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