重庆科技大学学报（自然科学版）2024，Vol.26Issue(6)：52-58,7.DOI:10.19406/j.issn.2097-4531.2024.06.008
基于改进PSO算法的煤矿输送带喷雾除尘系统研究
Research on Coal Mine Conveyor Belt Spray Dust Suppression System Based on Improved PSO Algorithm
摘要
Abstract
The large amounts of dust generated during coal mining and transportation pose significant environmental and safety challenges.Spray dust suppression is one of the preferred methods for dust control.To address this,a dual droplet composite spray dust suppression system based on an improved PSO(Particle Swarm Optimization)al-gorithm has been designed.By constructing a variable spray dust suppression control model,the system can accu-rately control the spray volume in real time.This ensures compliance with environmental requirements while main-taining low moisture content in the coal,effectively improving the dust removal efficiency at transfer points on con-veyor belts and during transportation.Simulation results indicate that the improved PSO algorithm offers greater effi-ciency and stability compared to the classical PSO algorithm.关键词
喷雾除尘/双雾滴/改进PSO算法/除尘效率Key words
spray dust suppression/dual droplets/improved PSO algorithm/dust removal rate分类
矿业与冶金引用本文复制引用
李敬兆,戴梦飞,石晴,刘继超,胡迪..基于改进PSO算法的煤矿输送带喷雾除尘系统研究[J].重庆科技大学学报（自然科学版）,2024,26(6):52-58,7.基金项目
国家自然科学基金项目"矿山安全感控联动系统云雾资源智能调度方法研究"(52374154) （52374154）
