Abstract: An information logic model for intelligent coal mine is proposed in this paper,aiming at the problem of un-clear information association,imperfect framework structure,lack of intelligent decision-making basis and effective con-trol method in the development process of digitalization to intelligentization. First of all,a kind of clear hierarchical well-organized and comprehensive information model for intelligent coal mine is established,where the information en-tity and virtual-real mapping mechanism of multi-source heterogeneous relational data based on ontology and semantic web technology,the active matching and pushing strategy of information entities based on knowledge demand model, and the evolutionary mechanism of intelligent logic model based on mining behavior prediction reasoning are proposed.Then,coal mine equipment position control and intelligent decision are provided on the basis of the construction of spatial position and attitude relationship model of fully mechanized mining equipment group,the proposal of unified de-scription of spatial coordinates of the strongly coupled equipment group considering random errors and transformation method of correlation coordinate system for different equipment,and the establishment of multi-parameter fusion analy-sis and evaluation of mining environment-production system coupling relationship model. Finally,the global optimal planning and distributed collaborative control method for fully mechanized mining equipment group under the influence of time-varying and multiple factors are given,where the global optimal planning is summed up in a fuel optimal plan-ning problem of a quadratic integral model,and the global optimal propulsion path planning and control strategy is pro-posed based on multi-modal control,which can consider mining conditions,equipment capacity,process flow and ener-gy consumption,and ensure an effective improvement of production cost and efficiency. Besides,a distributed coopera-tive control method for hydraulic support groups considering both environmental disturbance and sensor data delay characteristics is presented. The above-mentioned infrastructure and mathematical models provide a basic theoretical support for deep-separating the relationship among the massive information of intelligent coal mines,solving the optimal coordinated control of mining systems in large data environments,and achieving continuous and stable mining under complicated geological conditions,which can promote the development of smart coal mine technology effectively.