Research on quality evaluation method and application of power coal resources based on clustering algorithm

In order to quickly and accurately evaluate the grade of power coal resources in the Huainan Coalfield and achieve the purpose of rational development and utilization of high-quality power coal resources, the No.8 coal seam is selected as the research object based on the coal quality database of drilling in the Huainan Coalfield, and the caloric value, ash, sulfur, volatile, softening temperature and Harlott grindability of coal are taken as the basic indexes for the quality evaluation of power coal resources. Based on GIS platform, the ISODATA algorithm is used to cluster power coal resources in the study area, and the coal quality data information is mined deeply. Combined with the entropy weight method, the weights of each cluster evaluation index are determined. Through the comprehensive index method, the quality grades of power coal resources are divided. The results show that the cluster of power coal resources from No.8 coal seam in the Huainan Coalfield can be divided into three categories, of which the second cluster has the best quality of power coal resources, followed by the third cluster, and the first cluster has relatively poor quality. The second cluster is dominated by high quality coal, the third cluster is dominated by medium quality coal, and the first cluster is dominated by medium and low quality coal. It provides technical guidance for the rational development and utilization of power coal resources in the Huainan Coafield in future, and expands the utilization of coal quality database in the coalfield.