Underground Coal Bunker Unblocking Control System Based on Improved Particle Swarm Optimization Algorithm
ZHU Zhao
SHI Can
Abstract：With the increase in coal production,the development of underground transportation systems in some coal mines has become uncoordinated,leading to a growing severity of coal bunker clogging issues.Coal bunker blockages not only impact production efficiency but also pose safety hazards.The underground coal bunker unclogging equipment based on multi-frequency high-intensity acoustic wave generators has demonstrated promising practical application in resolving such blockages.Building upon the operational challenges observed in existing unclogging devices,an enhanced control system was proposed for underground coal bunker declogging that incorporates an improved Particle Swarm Optimization(PSO)algorithm.The system achieves frequency self-regulation of acoustic wave generators through this optimized algorithm,with performance tests conducted to validate the effectiveness of the improved PSO approach.In practical applications,the frequency self-regulation mechanism has reduced cleaning time by over 50％,effectively meeting the requirements for automated transformation of coal bunkers.
Keywords：coal bunkerimproved PSO algorithmsound wave unblocking technologyfrequency self-regulation
Publication Date：2025-12-31
Pages：5( 1-5 )