Construction of intelligent visual coal and gangue separation system based on CoppeliaSim

Abstract

Due to the energy composition of China rich in coal, poor in oil and low in gas, coal will continue to be the main energy source in China for a long time. In order to improve the intelligence level of coal mine and realize the efficient and clean utilization, coal and gangue sorting is the research focus of many experts and scholars. At present, the construction of the intelligent visual coal and gangue separation platform is complex, the algorithm effect is difficult to verify, and the research and development cost is high, which is not conducive to the progress of technology. In this paper, the intelligent visual gangue sorting system is built based on the robot simulator CoppeliaSim, combining the robot virtual simulation technology with intelligent coal gangue separation system. The modeling of the whole system is highly close to the real scene, and is coordinated with the software program, which lays a good foundation for the intelligent coal and gangue separation, provides a new way to solve the problem of system construction, and improves the level of intelligence by using virtual and real methods.