Abstract: In order to realize the automation, digitalization and intelligence of the whole process of coal preparation, the intelligent control system of coal preparation plant based on the Internet of mining industry is built, and the intelligent control platform of coal preparation plant is built and the production application practice is carried out. Based on the coal preparation plant real-time perspective intelligent control overall design objectives, established including edge layer, data center, Mining Industry Internet platform and business application of coal preparation plant intelligent control platform system, design the data center, business applications, studied the coal preparation data management, BIM driven digital twin, fine intelligent sorting control platform construction related key technologies. The coal preparation data management technology to give full play to the value of coal preparation industry data to provide technical support, BIM drive digital twin technology to realize the whole chain of intelligent management, fine sorting control realizes the product coal quality real-time online security, finally built with management system standardization, business process integration, data fusion collaborative intelligent control, rapid decision and analysis of coal preparation plant intelligent control platform. The platform based on Mining Industry Internet technology to connect production management, safety monitoring, production control and auxiliary decision-making systems, real-time perspective monitoring, scheduling and control of the production process, to achieve the implementation of production plan, optimal allocation of resources,Through the intelligent management and control system design and practice of Xiayukou coal preparation plant, it is verified that the platform has reached the goals of intelligent perception, auxiliary decision-making and accurate control, which has stabilized the quality of cleaned coal products, improved the recovery rate of cleaned coal, reduced production costs and reduced accident downtime.