摘要
根据冶金学的基本原理与RH精炼处理的内在原理,建立了RH静态脱碳模型、动态脱碳模型、温度模型、合金最小成本模型、成分预报模型等过程控制模型。集成式RH模型具有广泛的适应性和系统性,且成本低。模型先后在宝钢3#RH、梅钢新建RH精炼炉、宝钢2#RH、上钢一厂新建RH精炼炉取得了成功的应用。基于数据、专家经验、公式开发的人工智能自动建模软件的应用使RH温度模型取得了较高的精度。
An integrated RH process control model based on basic theory of metallurgy and RH refining treatment was developed. It consists of static decarburization model, dynamic decarburization model, temperature model, alloy minimum cost model and composition prediction model. This integrated model is adaptable and systematic with low cost. It has been implemented successfully in No 3 RH of Baosteel, new-built RH of Meishan Steel Making Plant, No 2 RH of Baosteel, new-build RH of the First Steel Making Plant of Shanghai. The application of artificial intelligence auto-modeling software developed on the basis of data, expert's experience and formula achieved preferable control precision.
出处
《吉林大学学报(工学版)》
EI
CAS
CSCD
北大核心
2004年第3期454-458,共5页
Journal of Jilin University:Engineering and Technology Edition
关键词
自动控制技术
RH精炼
过程控制模型
集成式模型
自动建模
automatic control technology
RH refining
process control model
integrated model
auto-modeling