投审稿入口

基于大数据平台的加热炉燃烧智能控制系统研发

Research and development of an intelligent control system for heating furnace combustion based on big data cloud platform

  • 摘要: 由于加热炉工序生产环境恶劣、控制系统耦合因素众多,始终是产线自动化程度薄弱的环节,影响产线智能化、数字化的进程。随着大数据技术的不断更新和发展,也逐步进入冶金工业领域,旨在采用数据挖掘技术,建立基于数据驱动的数学模型,以突破传统模型瓶颈。本文介绍了某场景基于大数据平台的加热炉燃烧智能控制系统的构建,采用大数据算法对加热炉燃烧过程进行智能优化控制,提高加热炉控制精度,炉温智能控制在线率不小于93%,出炉板温控制精度(±12 ℃)达93.2%,降低燃耗3.5%,从而实节能降耗、改善产品质量的目的。

     

    Abstract: Due to harsh production environment and numerous coupling factors of control system, the process of heating furnace is always a weak link in the automation degree of production line, which affects the intelligent and digital process of production line. With the continuous update and development of big data technology, it has gradually entered the field of metallurgical industry, aiming at using data mining technology to establish data-driven mathematical models, so as to break through the bottleneck of traditional models. This paper introduces the construction of intelligent control system of heating furnace combustion based on big data platform in a certain scene. Big data algorithm is adopted to carry out intelligent optimization control for heating furnace combustion process, improve the control precision of heating furnace. The intelligent furnace temperature control boasts an online rate not less than 93% and discharge slab temperature control accuracy (±12 ℃) of 93.2%, while reducing fuel consumption of 3.5%,achieving energy savings and improve product quality.

     

/

返回文章
返回