Intelligent Research Of Centralized Monitoring Based On Big Data Analysis

In recent years,with a large number of advanced railway signal constantly put to use new technology,new equipment,signal equipment automation and intelligent level,at the same time as the electricity system maintenance system perfecting,electricity maintenance personnel's quality enhances unceasingly,the railway signal equipment maintenance have improved a lot in the quality and level of ascension.But as the number and variety of a big increase in railway signal equipment,railway signal equipment of the diversity and complexity of the railway running environment caused the randomicity,diversity and complexity of signal equipment failure reasons,all of these unfavorable factors for signal equipment failure emergency control put forward higher request,request signal equipment maintenance with effectiveness and pertinence,fault emergency disposal to fast and efficient.This article takes the centralized signal monitoring as the background,analyzes the current status and development trend of the centralized monitoring system,studies the system structure,network design and system functions of the centralized monitoring system,combined with the current wide application of big data analysis technology in various industries,proposes a basis for The intelligent design concept of centralized monitoring of big data analysis focuses on the application of data mining algorithms in system information collection,the application of big data visualization technology in the conversion of system data into icons we are familiar with,and the application of big data storage technology The current situation is described,the application of big data storage technology in the monitoring system is studied and analyzed,and relevant measures for data security are put forward.Finally,this article studies and analyzes the big data intelligent operation and maintenance platform,the focus is on the detailed interpretation of related functions that meet the needs of the site.