Research and application of coal exploration data management method in working face based on GIS

In order to improve the efficiency of dynamic calculation of coal reserves in the mining process of coal working face and enrich the dynamic updated data required in the construction of 3D geological model of working face in intelligent mining, a GIS based coal mining face data management method is proposed through the full analysis and in-depth research on the professional needs, business processes, technical routes and data structure of coal mining face data management. At the data level, the business process of coal exploration data management was optimized, the data structure and storage method of different types of coal exploration data were designed, the coal exploration data sharing and management of mining face based on spatial relational database were realized from using the spatial data organization and management mode. At the presentation level, the interactive management of coal exploration data and graphics was realized based on the domestic geographic information system platform, LongRuanGIS, independently developed from the bottom. At the business level, a drawing algorithm of coal exploration line was proposed to realize the rapid drawing of different coal exploration lines. The data structure, drawing style, drawing method and data management method of coal exploration point were designed to ensure the beautiful mapping of coal exploration data and efficient reuse of data; a method of dynamically updating the geological model of coal mining face by using the data of coal thickness detection was proposed, which enriches the dynamic updating data source of high-precision three-dimensional dynamic geological model of working face. The results of normalization application in many mines show that the management method of coal exploration data based on GIS realizes the unified management and sharing of different types of coal exploration data, realizes the rapid automatic mapping and dynamic updating of coal exploration data and improves the drawing efficiency of coal mine geologists. At the same time, the timely updating of coal exploration data provides convenient and effective data management measures for dynamic calculation of reserves and dynamic updating of high-precision 3D geological model, ensuring the efficient use of coal exploration data in many aspects.