The Study On The Expert System Of Mining-excavation Plan Based On Nural Networks

In order to guarantee the proper production, the coal mine long-term planning based on district and working face replacement should be worked out no matter in the design of new coal mines or in the technology transformation of productive mines. Mining plan is the most important decision-making activity, and it can influence the production and economic returns of coal enterprises, and affect the coal mines greatly.For a long time, the mining plan is worked out by the traditional manual method, which is inefficient and difficult to ensure the quality. So in recent years, many domestic and overseas experts have researched on the mining plans' automation, intersection and computerization and have gained a series of achievements, of which the replacement of manual work by computer simulation is most prominent.However, the complexity of the mine production system, various factors affecting mining replacement and nonlinear characters make the model optimization more complicated. Many problems encountered in practice need a lot of experiential knowledge and the analysis of uncertain factors; many parameters in calculation are difficult to select; the result reliability is low; the application scope is confined. So until now the mining calculation cannot give a convincing quantitative relation for the mining decision-making.Applying the neural networks to the mining replacement plan, combining expert system and CAD technology, with the intellectual language Visual C++ as the development tool, this paper successfully builds a mining plan system, and the working out of the mining plan is visualized by CAD. This system can reduce the cost and improve the work efficiency practice.