Gong-kuang zidonghua (Sep 2020)

Coal mine dual prevention information system based on Apriori algorithm

  • HUANG Yuxin,
  • YAN Zhenguo,
  • FAN Jingdao,
  • LI Chuan

DOI
Journal volume & issue
Vol. 46, no. 10
pp. 92 – 98

Abstract

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The current information systems have relatively single function, and most of them are still in the stage of simple mathematical statistics and information reporting. Moreover, most systems split risk control and accident hidden into two different systems for management, and fail to integrate them, so it is difficult to achieve closed management, thus resulting many vulnerabilities in management process;At the same time, a large amount of data collected by the system in the daily safety production process of coal mine has not been effectively utilized, so it is difficult to find deep laws hidden in the data and the association rules between the data, resulting in a large amount of data waste. For the above problems,a coal mine dual prevention information system based on Apriori algorithm was designed, and the system architecture and function realization were introduced in detail. Based on the Apriori algorithm and basic theory of the dual prevention mechanism of coal mine, hidden dangers of accidents and risk control were integrated,while realizing the closed management of the two, the Apriori algorithm is used to conduct in -depth analysis of the hidden danger data of accidents, excavate its potential association rules, and formulate relevant daily preventive measures through analysis of the potential association rules to realize risk of accidents source identification, control and troubleshooting and control of hidden danger. The application results show that the system realizes full life cycle management of hidden accidents and risk management. Through in -depth analysis, the law of occurrence of hidden accidents is obtained, and the prevention, early warning and pre -control of coal mine accidents are realized, and the level of coal mine safety production management is improved.

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