Big data analysis system for monitoring state of railway automatic fare collection equipment

Abstract

The invention discloses a big data analysis system for a monitoring state of railway automatic fare collection equipment. The system comprises a base layer, a management layer, an analysis layer and an application layer. Along with the increase of an installation quantity of the automatic fare collection equipment, the developmental key of an existing automatic fare collection system is to improvethe system stability and shorten and reduce the maintenance time and cost by adopting fault analysis and early warning means through fully utilizing existing automatic fare collection service data. In order to solve the problems that the complex problem is difficult to locate and the experience of maintenance personnel is excessively relied on for manual handling in maintenance operation of an automatic fare collection network, response time data of the system is subjected to clustering analysis, and a big data technology is adopted for effectively finding out fault rules from the mass data of the system and mining relations between faults and a system environment and between the faults and user behaviors, so that the effects of improving the monitoring level of the system and ensuring the normal operation of the automatic fare collection system are achieved.

Description

technical field [0001] The invention belongs to the technical field of big data analysis, and relates to a big data analysis system for monitoring status of railway automatic fare collection equipment. Background technique [0002] With the increase of the installed capacity of automatic fare collection equipment, the role of automatic fare collection network in China's high-speed railway (referred to as: high-speed rail) passenger transport operations is becoming more and more obvious, and the reliable and stable operation of equipment is becoming more and more important. [0003] At present, the software and hardware of the high-speed rail automatic fare collection network are relatively complex. The automatic ticket vending machine sells magnetic media tickets that conform to the ISO7816 standard size, supports cash and bank card payment, and provides change for banknotes and coins at the same time; the automatic ticket vending software system supports passengers to obtai...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a big data analysis system for the monitoring status of railway automatic fare collection equipment. Data clustering analysis, using big data technology, effectively find out the fault rules from the massive data of the system, dig out the relationship between the fault and the system environment, and user behavior, and realize the improvement of the monitoring level of the system and the normal operation of the automatic fare collection system. running effect

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