Method and system for collection, storage, analysis and application of railway maintenance section equipment data

Abstract

The invention discloses a method and a system for collection, storage, analysis and application of railway maintenance section equipment data. According to the scheme, data of railway maintenance sections scattered in all regions is gathered and stored, and the data is analyzed and applied. Since open-source components frequently used in big data and part of big data analysis mining algorithms areused, gathering and storage of the railway maintenance section equipment data can be realized, and the data can also be analyzed and mined, so that useful information is obtained, and the available value of the data is increased. The problems of data barriers, data islands, data loss and data waste in the current railway maintenance industry are solved.

Description

technical field [0001] The present invention relates to a method and system for collecting, storing, analyzing and applying equipment data in railway maintenance yards. The data generated in the field segment, including various data generated by equipment, and various data generated by trains under maintenance, are collected, classified and stored, big data analysis and calculation, and application solutions. Background technique [0002] After more than 50 years of development, China's railway informatization has been widely used and has massive data resources. Big data will become a new engine to promote the innovation and development of China's railways. [0003] However, the current application status of big data technology in my country's railway-related industries is not optimistic. Although the construction of information systems in my country's railway-related industries has been gradually improved in recent years, each system operates independently and independentl...

AI Technical Summary

Problems solved by technology

The method proposed by the present invention is mainly aimed at all kinds of maintenance equipment in each maintenance station section, and aims to solve the situation that each station section in the country is relatively isolated in the detection and maintenance of trains, and breaks the current data system of each maintenance section. , the status quo of independent construction, can collect and store a large amount of data that can be obtained during train inspection and maintenance, solve the problem of insufficient data sharing and backup, increase the degree of data integration in each maintenance field, and the designed big data platform can Real-time and long-term continuous reception of data sent back by maintenance yards, so that insufficient bandwidth between railways is no longer the bottleneck of data collection, data collection is automated, and the problem of inconvenient data interaction between systems at all levels is solved, and the method combines Computing engines, non-relational databases and other high-efficiency components for big data storage, analysis, and calculation. The application of data is no longer a traditional database technology. It can efficiently read data, calculate data, and obtain useful analysis results through specific analysis. , to improve the situation that the maintenance of trains and equipment is only qualitatively judged by the experience of some old employees, and finally to achieve the effect of being able to give maintenance plans and suggestions that are beneficial to train maintenance work and its maintenance equipment

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