工矿自动化2025，Vol.51Issue(12)：72-79,8.DOI:10.13272/j.issn.1671-251x.2025090111
基于PSO-BP的瓦斯抽采钻孔负压智能调控方法
Intelligent control method for negative pressure of gas extraction boreholes based on PSO-BP
摘要
Abstract
Existing control methods for negative pressure of gas extraction boreholes exhibit delayed responses to changing operating conditions and lack adaptive capability and dynamic feedback control,making it difficult to achieve precise control of borehole negative pressure.To address these problems,an intelligent control method for negative pressure in gas extraction boreholes based on Particle Swarm Optimization(PSO)and Back Propagation(BP)was proposed.A coal seam gas-air migration model was derived,and on this basis,COMSOL numerical simulation software was used to obtain gas extraction datasets under different extraction conditions.A PSO algorithm was introduced to optimize the initial weights of the BP algorithm,improving the reliability of negative pressure prediction for gas extraction.Taking gas extraction flow rate or gas extraction volume fraction as the target value,the PSO-BP algorithm predicted the corresponding extraction negative pressure,and the valve opening was adjusted to make the borehole negative pressure reach the predicted value,thereby achieving precise control of gas extraction boreholes.The results showed that,compared with Extreme Learning Machine(ELM),Temporal Convolutional Network(TCN),and Support Vector Machine(SVM)algorithms,the BP algorithm more accurately captured the variation patterns of gas extraction data characteristics.The PSO-BP algorithm achieved better performance than the BP algorithm in terms of Mean Squared Error(MSE),Root Mean Squared Error(RMSE),Mean Absolute Error(MAE),Mean Bias Error(MBE),Mean Absolute Percentage Error(MAPE),and Coefficient of Determination(R2).After on-site implementation of intelligent borehole negative pressure control,both gas extraction volume fraction and gas extraction flow rate increased compared with those before implementation.关键词
瓦斯抽采/钻孔负压调控/负压预测/粒子群优化/BP算法/抽采流量/抽采浓度Key words
gas extraction/borehole negative pressure control/negative pressure prediction/particle swarm optimization/BP algorithm/extraction flow rate/extraction concentration分类
矿业与冶金引用本文复制引用
高涵,周爱桃,成小雨,程成,王东旭..基于PSO-BP的瓦斯抽采钻孔负压智能调控方法[J].工矿自动化,2025,51(12):72-79,8.基金项目
深地国家科技重大专项项目(2024ZD1000408) （2024ZD1000408）
国家重点研发计划项目(2023YFF0615404) （2023YFF0615404）
中国中煤重大科技专项项目(20221BY001). （20221BY001）
