A design for simulation model and algorithm of rail transport of molten iron in steel enterprise

Bin Ge, Kai Wang, Yue Han

School of Computer Science and Engineering, Anhui University of Science & Technology, Huainan, Anhui, 232001, China

An emulation method can be chosen according to the characteristics in rail transport of molten iron in steel companies and a simulation model can be established based on the basic conditions for model, distributed tank mode and path selection, etc. By studying the automatic collision avoidance algorithm, a method of shortest path optimization for rail transport scheduling of molten iron was proposed based on ant colony algorithm. Simulation results show the validity and the feasibility of the algorithm. Programs and strategies of implementing visual simulation platform are proposed laying the theoretical foundation of further research and application for rail transport scheduling model of molten iron and intelligent optimization algorithm.