Design of coal mine safety risk index analysis system based on big data
Kejie Wu · 2023
In order to meet the requirements of mine intelligent construction which requiring the reduction of person, the increasment of safety and the improvement of efficiency, a coal mine safety situation awareness analysis platform based on multi-source data fusion is designed and implemented by using the mode of “platform + end” and micro service. Through multi protocol adaptation, coal mine safety risk data integration is realized, data credibility measurement and analysis indicators are established, and safety risk data quality judgment is realized. Based on the neutral reference object, we have established the risk evaluation index system and builded the two-level risk evaluation model applied to the company and the mine, which realizing the risk quantitative and hierarchical evaluation. The automatic identification of mine typical anomalies is realized by establishing the characteristic map of monitoring data. The visual analysis of safety situation is realized by using GIS technology and spatial interpolation technology. The field application reflects that the platform improves the ability of mine safety risk identification and risk exception handling, and provides guarantee for coal mine safety production.