Intelligent operation and maintenance big data management system and method for urban rail transit

Abstract

The invention discloses an intelligent operation and maintenance big data management system and method for urban rail transit. The system comprises an infrastructure module used for building a privatecloud cluster; a data analysis and access module used for analyzing and converting the original data into message data; a heterogeneous data storage module used for establishing a data table for storing message data; a data processing and analyzing module used for processing data; and a cluster monitoring module used for collecting hardware facilities and operation state data, comparing the operation state data with corresponding thresholds and giving out alarm signals when the operation state data exceeds the corresponding thresholds. The effectiveness of data display of the vehicle-mountedmonitoring system is higher, massive structured / unstructured data can be effectively stored and processed, convenience is provided for metro vehicle big data analysis, and the requirements of metro vehicle intelligent operation and maintenance for informatization, digitization and refinement data management can be better met.

Description

Technical field [0001] The invention relates to the technical field of urban rail transit, in particular to an intelligent operation and maintenance big data management system and method for urban rail transit. Background technique [0002] With the development of the urban rail transit industry, subway vehicle operation safety, precise maintenance, and intensive resource management have become inevitable demands. The intelligent operation and maintenance system of subway vehicles provides important support for the transformation of subway vehicles from traditional maintenance to intelligent maintenance. The intelligent operation and maintenance system of subway vehicles mainly includes on-board monitoring system, trackside detection system, and business system. However, the data generated by each system lacks timely and effective communication and data sharing, resulting in "data islands" and insufficient maintenance and coordination capabilities; specifically, , The data involv...

AI Technical Summary

Problems solved by technology

The intelligent operation and maintenance system of subway vehicles mainly includes on-board monitoring system, trackside detection system, and business system, but the data generated by each system lacks timely and effective communication and data sharing, resulting in "data islands" and insufficient maintenance coordination capabilities; specifically The data involved in the subway vehicles include real-time running status data in transit, real-time video data in the car, trackside status perception data, trackside fault image data, maintenance data, log data, etc. These data come from various sources, complex types, and strong timeliness. Large scale and high safety requirements reflect the operation and maintenance methods and technical characteristics of subway vehicles

Although the current big data platform based on commercial software or open source software can provide general functions for massive data access and data storage analysis, the existing technology is still unable to solve the problem of system unit division and multi-source The problem of data acquisition protocol specification, the effective storage of massive data, and the processing and analysis problems can be effectively solved, which cannot meet the needs of intelligent operation and maintenance of subway vehicles for informatization, digitization, and refined data management.

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