Data-Driven Cooperative Control Model of Shearer-Scraper Conveyor Based on Rough Set Theory

The cooperative control of shearer and scraper conveyors is the prerequisite for realization intelligent comprehensive mining equipment unmanned workings. However, because harsh working face environment, complex process mining, many uncertainties, it difficult to establish a mathematical model precisely through operating mechanism. In era big data, data-driven has become popular trend. Therefore, according actual production this article proposed shearer–scraper conveyor based on rough set theory. First, selection method monitoring parameters theory was remove redundant parameter values. Moreover, decision rule base speed regulation established. Then collaborative algorithm attribute importance designed. matches rules real-time observation data then determines running shearer. simulation results show that overcomes limitations model. It can predict well realize conveyor.