西安科技大学学报2025，Vol.45Issue(4)：726-734,9.DOI:10.13800/j.cnki.xakjdxxb.2025.0409
基于IWOA-LSSVM的矿用差压式流量计误差补偿方法
Error compensation method of mine differential pressure flowmeter based on IWOA-LSSVM
摘要
Abstract
Aiming at the problem that the differential pressure flowmeter for mining was easily inter-fered by factors such as temperature,humidity and pressure in the underground gas drainage pipeline,resulting in relatively large measurement errors,an error compensation method based on the improved whale optimization algorithm(IWOA)optimizing the least squares support vector machine(LSSVM)was proposed.The whale optimization algorithm(WOA)was used to optimize the kernel function parameters and penalty factor of the LSSVM model,tent chaotic mapping,random learning method and adaptive weight were introduced and the IWOA-LSSVM error compensation model was constructed;A simulated experimental platform was built to simulate the environment of the drainage pipeline,Matlab was used to simulate the test data,the error compensation result of BP neural network,PSO-LSSVM algorithm and GWO-LSSVM algorithm were compared.The results show that:Compared with the original meas-urement value,the BP Neural Network reduces the mean percentage error of the differential pressure flowmeter from 7.40％to 1.13％,the PSO-LSSVM algorithm further reduces this error to 1.05％,the GWO-LSSVM algorithm reduces the mean percentage error to 0.47％,while the IWOA-LSSVM algo-rithm further reduces the mean percentage error to 0.23％.The IWOA-LSSVM algorithm effectively e-liminates the influence of environmental factors on the output results of the flowmeter and improves the reliability and detection accuracy of the differential pressure flowmeter for mining.关键词
差压式流量计/误差补偿/鲸鱼算法/最小二乘支持向量机/瓦斯抽采Key words
differential pressure flowmeter/error compensation/whale optimization algorithm/least squares support vector machine/gas extraction分类
矿业与冶金引用本文复制引用
王伟峰,李煜,田丰,李卓洋,白玉,李寒冰..基于IWOA-LSSVM的矿用差压式流量计误差补偿方法[J].西安科技大学学报,2025,45(4):726-734,9.基金项目
陕西省重点研发计划项目(2021SF-472,2022QCY-LL-70) （2021SF-472,2022QCY-LL-70）
陕西省秦创原"科学家+工程师"队伍建设项目(2023KXJ-052) （2023KXJ-052）
