Analysis Of Blast Furnace Data Based On Data Mining Technology

Blast furnace ironmaking play an important role in China's social construction.Blast furnace antegrade can improve the production of blast furnace and steel quality,it is necessary to have a clear understanding of blast furnace condition to keep the blast furnace in direct motion,to this end,the blast furnace is required to be modeled.The operation of blast furnace is very complicated,it is difficult to establish the corresponding model,normally,needed to collect the blast furnace wall surface temperature data,through the data mining of temperature data,and backstepping of the furnace conditions.Through the data mining of blast furnace antegrade,the results are applied to the production process,auxiliary experts and technical staff to carry out the appropriate operation,it can effectively reduce the error rate,thereby increasing the production of blast furnace and ensure the blast furnace antegrade.The objective of this thesis is to mine the data of blast furnace anterograde state,to find out the correlation between the temperature measure points and the blast furnace antegrade of the surface of the blast furnace,the temperature data of the surface of a blast furnace furnace of an ironwork are taken as data sources,the Apriori algorithm and the least squares fitting algorithm in data mining are used to analyze the data.First of all,this thesis describes the background of this study,and introduced the theory associated with this article,the Apriori algorithm and the least squares method are introduced;in this thesis,the surface temperature data of the furnace wall of a blast furnace B are selected as the research object,Apriori algorithm was used to analyze the temperature detection points of blast furnace body surface,find the correlation between the various temperature detection points;the least square method was used to fit the data of the same subjects,find the law of the temperature data of the blast furnace.The conclusion of this thesis has a great practical significance for the production process of blast furnace.In the next work group,will be selected for different blast furnace data for data analysis,and try to use other data mining methods to mine.