Research progress of intelligent sintering prediction technology based on big data
Sintering is one of the important processes in blast furnace ironmaking.Using intelligent technology to accurately predict the state,quality and other parameters during the sintering process to control the sintering process is crucial for reducing production costs,optimizing the sintering process,and improving production safety.Firstly,the role of big data platforms in sintering parameter predic-tion technology was analyzed.Secondly,the application of intelligent technology in sintering produc-tion process was compared and analyzed from the aspects of sintering endpoint position prediction,sintering material layer permeability prediction,sintering endpoint temperature prediction,FeO con-tent prediction,drum strength prediction,ignition temperature prediction,bellows valve opening pre-diction,and economic and technical index prediction.The development process of FeO content pre-diction from manual observation method to mathematical modeling method and then to artificial intel-ligence method,revealing the development status and evolution law of intelligent sintering prediction technology based on big data.In addition,the shortcomings and development trends of intelligent sin-tering prediction technology in sintering production prediction were discussed.
万方数据
维普
