Study On The Design Method Of Coal Mine Underground Auxiliary Transportation System And Intelligent Scheduling

With the widely using of computer technology, the automatic control technology and the network technology in coal mining enterprises, the level of coal mining and monitor's automation and information in our country has substantially increased,however, the underground auxiliary transportation system is developed relatively slow to become the weak links of restricting the modernization in coal mine. Therefore, it is of great practical significance to launch a study on the auxiliary haulage system to improve the efficiency of the system and to solve the field problems.This paper analyzes sorts of auxiliary transportation equipments and its application on the current use of coal mining enterprises to summarize the main problem which has hindered the development of auxiliary transportation system of coal mine in our country, and propose the effective addressing way in view of the existence question.This article conducts the detailed analytical study to the current design method of auxiliary transportation system of coal mine. From the system perspective of mine production, this article summarizes and analyzes the primarily influential factors of auxiliary transportation system in detail, and proposes the principle of design and transformation used by underground auxiliary transportation system of coal mine in our country.This text aims at the detailed analysis of the present situation and the existence question of underground auxiliary transportation system in the Datun mining area, to propose five kinds of reconstruction design scheme, and carries on the comparison to the design proposal from the aspects of economy, technical, safety reliability and so on, to determine the technical scheme which is suited to the transformation of auxiliary haulage system in the Datun mining area.This paper studies on the model, the structure and implementation method of neural network expert system (ANNES) and constructs the designing structure of the auxiliary transportation system underground coal mine, and analyzes experienced expert database on performance analysis of auxiliary transportation system based on neural network, established neural network model of expert database on performance analysis, chose learning algorithm and analyzed the work flow with expert system.According to traffic jam problem in the tunnel,we study and design an analysis method of roadway transportation line which is suited of trackless tyred vehicle system underground coal mine,and establish the model of auxiliary haulage system with trackless tyred vehicle underground coal mine basis on this method,analyze and research running rules in trackless tyred vehicle.Through detailed analysis for traffic jam problem by trackless tyred vehicle in the tunnel,we designed automatic control algorithm for trackless tyred vehicle haulage system underground coal mine. On the basis of trackless tyred vehicle transport system model this paper has designed the intelligent scheduling system, and solved the trackless tyred vehicle's traffic problems.In this paper, we analyze and contrast all kinds of localization algorithm of key technology——wireless sensing Location of intelligent scheduling system. According to the special working conditions underground coal mine and the characteristics of the transport system with trackless tyred vehicle, we propose one kind of simplified localization algorithm method.