西华大学学报（自然科学版）2025，Vol.44Issue(2)：113-119,7.DOI:10.12198/j.issn.1673-159X.5102
基于GA-BP的烧结风箱阀门预测模型
GA-BP Based Sintering Airbox Valve Prediction Model
摘要
Abstract
During the sintering ignition process,the airbox pressure needs to be maintained within the target range to keep the furnace chamber at a slightly negative pressure.In actual sintering production,the valve opening required for the blast box pressure within the target range is difficult to predict,and incorrect adjustment of the blast box valve often makes the internal pressure of the blast box not meet the sintering production requirements and makes it difficult to achieve the sintering micro-negative pressure ignition.To address this problem,a sintering bellows valve prediction model was proposed using genetic algorithm(GA)to optimize the BP neural network,which was trained with actual sintering data from a steel mill,and the prediction results of several prediction models were compared.The experimental results show that the prediction effect of the GA-BP prediction model is better than that of the traditional BP prediction model and the fitted prediction model,and the model can predict the valve opening required for the blast box pres-sure to reach the target range more accurately,which provides reliable theoretical support for the intelligent control of the blast box valve opening at the sintering site and can well meet the production requirements.关键词
BP神经网络/遗传算法/阀门预测/烧结点火/微负压Key words
BP neural network/genetic algorithm(GA)/valve prediction/sintering and ignition/micronegative pressure分类
机械制造引用本文复制引用
张学锋,朱梅,汤亚玲,储岳中..基于GA-BP的烧结风箱阀门预测模型[J].西华大学学报（自然科学版）,2025,44(2):113-119,7.基金项目
安徽高校自然科学研究项目(KJ2019A0063) （KJ2019A0063）
安徽高校自然科学研究项目(2022AH050290). （2022AH050290）
