Work

Mining of expert rules for blast furnace air volume regulation

Year: 2025

Type: article

Abstract: Air volume regulation is a crucial means for adjusting the blast furnace burden condition, which directly influences the reaction process inside the furnace and is closely related to the quality of hot metal and production efficiency. In this paper, based on theoretical knowledge and process logic, we screen the monitoring parameters that affect air volume regulation. These parameters include charge velocity, static pressure, full differential pressure, utilization rate of coal gas, permeability, and furnace temperature. By comparing various encoding methods, an effective discretization encoding of continuous monitoring data is realized through a combination of normal distribution division and empirical correction. The FP-Growth algorithm is applied to mine the correlation between air volume regulation and monitoring parameters, and intelligent regulation expert rules for increasing/decreasing the air volume in the blast furnace are constructed. These rules have been put into application in a 1750 m3 blast furnace in actual production. The application results demonstrate that this system can accurately generate regulation strategies, and the analysis of the rule triggering frequency further validates its effectiveness. This research provides a solid basis for optimizing regulation strategies, significantly enhancing the intelligent level and regulation accuracy of blast furnace smelting.

Source: Results in Engineering

DOI: 10.1016/j.rineng.2025.108473

Authors: Yuanjin Mu, Bingji Yan, Huabin He, Hongwei Guo, Helan Liang

Institution: Soochow University

Language: English

Topic: Iron and Steelmaking Processes

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,940

Funders: National Natural Science Foundation of China, Science and Technology Program of Suzhou, Wuhan Science and Technology Project