Abstract: The coal chemical industry is a resource-based industry that is highly dependent on coal and water resources.The pros and cons of its location and layout will largely determine the costs and benefits of subsequent operations.Based on the study of coal characteristics of coal chemical industry, a set of intelligent optimization site selection methods for coal chemical industry based on multi-index linear programming algorithm is proposed.By analyzing the key indicators of coal quality that meet the requirements of coal chemical industry, a set of coal quality, the intelligent optimization site selection model of multi-parameter constraint equations and objective functions for water resources, transportation, environment, etc., based on the coal results database of China’s first round of national survey of mineral resources and a large number of enterprise surveys, collecting mine coal quality parameters, transportation routes, water resources, multi-objective parameters such as environmental protection are integrated into the intelligent optimization model software, and the location of the coal chemical preparation plant is optimized through continuous iteration, and the optimal layout plan for the configuration of the elements required for production is found through trial and error.Taking the three coal enrichment areas of Zhundong, Yili and Wucai Bay as the research objects, this method is used to conduct intelligent site selection evaluation to obtain the optimal plan.