Intelligent Scheduling Strategy of Electric Locomotive Robots for Underground Mining

Abstract

In order to improve the working efficiency of underground electric locomotive robots in complex geological coal mines and realize the automation of underground scheduling system, the scheduling model of electric locomotive robots is established based on the underground track layout. Firstly, the cooperative operation routes of different types of electric locomotive robots are planned based on deadlock-free and collision rules. Then, according to the planning route, the scheduling parameters are set, and the transportation mode of electric locomotive robots is determined as interlaced transportation. The scheduling model is proved to be conflict-free by theory. Then the scheduling parameters are optimized by simulation under the scheduling rules of electric locomotive robots. Finally, the practicability of the scheduling strategy is verified by experiments. The research shows that the scheduling strategy improves the transportation efficiency by 47.6 % compared with manual scheduling. It can organize the transportation activities of electric locomotive robots scientifically, safely and efficiently, ensure the orderly distribution work and improve the intelligent degree of transportation system.