Application of intelligent algorithms in pellet manufacturing process
JIANG Tian-yu1, XUE Tao2, LI Ze-zheng1, YANG Ai-min2, LI Jie1, ZHANG Zun-qian1
1. College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, Hebei, China; 2. College of Science, North China University of Science and Technology, Tangshan 063210, Hebei, China
Abstract：Intelligent algorithm is an important support for data modeling and decision analysis before ironmaking, and it is also a key bridge to connect data with process production and control. In order to explore the adaptation scenarios of different intelligent algorithms in pellet plants, the research was mainly carried out in three directions, the particle size identification of green pellet, the intelligent control technology of pellet preparation, and the intelligent algorithm of pellet quality prediction. The advantages and disadvantages of algorithms in different directions were compared. At the same time, the problems such as how to improve the time delay and redundancy of factory data were summarized. It is expected that the intelligent algorithm can provide ideas for the selection of pellet raw material ratio, improvement of pelletizing process, improvement of pellet metallurgical performance and better control of roasting equipment, and also provide reference for subsequent research.
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2022, Vol. 32 
