Meikuang Anquan (Aug 2022)
Research on coal mine safety situation awareness analysis platform based on multi-source data fusion
Abstract
In order to meet the requirements of mine intelligent construction, reduce personnel, increase safety and improve 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 identification is realized. Based on the neutral reference object, the platform establishes the risk evaluation index system, builds the two -level risk evaluation model of the company and the mine, realizes the risk quantitative and hierarchical evaluation, establishes the characteristic map of monitoring data, realizes the automatic identification of mine typical anomalies, and realizes the visual analysis of safety situation by using GIS technology and spatial interpolation technology. The field application shows that the platform improves the ability of mine safety risk identification and risk exception handling, and provides guarantee for coal mine safety production.
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