铸造技术2025，Vol.46Issue(11)：1138-1145,8.DOI:10.16410/j.issn1000-8365.2025.5082
基于智能化算法的炼钢厂能源介质优化研究与实践
Research and Practice of Energy Medium Optimization in Steelmaking Plants via an Intelligent Algorithm
胡绍伟 1李智慧 2丁屹 1李海涛 2程锦君 1张立强 1张超杰1
作者信息
- 1. 安徽工业大学冶金工程学院,安徽马鞍山 243000
- 2. 常州东方特钢有限公司,江苏常州 213000
- 折叠
摘要
Abstract
To address the issues of high energy consumption and low energy management efficiency in the steel industry,an onsite energy medium optimization system was designed and developed.The system integrates multiple functions,including energy data acquisition,real-time monitoring,intelligent analysis,and optimized control,covering key processes such as converters and LF refinement,with the aim of improving energy utilization efficiency,reducing energy consumption,and supporting green and low-carbon transformation in enterprises.A random forest regression model optimized by a genetic algorithm was constructed,which enhanced the prediction accuracy of oxygen consumption in converters by analysing the nonlinear relationships among 12 process parameters,such as scrap steel quantity and furnace age,resulting in a 1.3％reduction in oxygen consumption.For LF refining,an LSTM-based temperature prediction model was introduced,achieving a prediction error of±5 ℃ for the molten steel temperature,which enabled the optimization of power supply strategies and reduced electricity consumption by 1.5％.关键词
能源介质/监测/算法/智能优化/节能降本Key words
energy media/monitoring/algorithm/intelligent optimization/energy savings and cost reduction分类
矿业与冶金引用本文复制引用
胡绍伟,李智慧,丁屹,李海涛,程锦君,张立强,张超杰..基于智能化算法的炼钢厂能源介质优化研究与实践[J].铸造技术,2025,46(11):1138-1145,8.
