Abstract: A large-scale coal preparation plant Shendong Coal Washing Center was taken as the research object. According to the intelligent demand of coal preparation plant,this paper put forward an all-round intelligent construction scheme. On the basis of closely integrating coal washing processing,process control and artificial intelligence,theoretical research was carried out from the aspects of intelligent perception,intelligent decision-making,intelligent diagnosis and management of equipment and intelligent production process. A set of intelligent construction technology of coal preparation plant was developed. Through intelligent decision-making system,the production rate and quality of commercial coal could be predicted by comparing different modes of production,so as to calculate product benefits,recommend the optimal mode of production,and make statistical analysis of production costs and benefits,which greatly promotedthe management innovation and intelligent construction of Shendong Coal Group. It realized the improvement of quality and efficiency,intelligent production and management. A structured private cloud database including washing process database,production model evaluation database and coal preparation expert database was established. On this basis,combined with artificial neural network and random search algorithm,according to the needs of user and the principle of maximum benefit,and on the basis of the original network,an intelligent diagnostic management system for coal preparation equipment was developed,which was based on industrial 4 G network and supported by fault characteristic data analysis. It realized real-time monitoring,online analysis,fault diagnosis and intelligent management of the whole life cycle of the equipment,and solved the existing problem of information island. On the basis of multi-dimensional intelligent monitoring,production environment perception,process system perception and production equipment perception were realized. Through intelligent statistics,analysis and prediction of production status,information management of washing daily business was carried out. Combining with mobile control and other means,the existing management institutions and production organization forms were optimized. The data-driven on-line intelligent parameter setting and precise control technology for gravity separation control was developed,and the intelligent and precise drug feeding technology based on the synergy of slurry feed characteristics and solid-liquid interface was developed,the intelligent power distribution,personnel intelligent positioning and automatic loading technology was developed to realize the intellectualization of coal preparation plant production process. The on-line intelligent setting of sorting parameters was realized by data-driven and expert decision-making. Through intelligent upgrade and transformation,the precise production and intelligent allocation of large-scale coal preparation plants with a capacity of 100 million tons could be realized,and the operation cost could be effectively reduced.