Optimization of Computer Control System for Blast Furnace Smelting Process
Iron and steel is an indispensable basic resource for urban construction,with the rapid development of our country's economy and society,the demand for iron and steel products is constantly expanding,promoting rapid development of our country's iron and steel industry.Blast furnace smelting process is an important link in iron and steel production,its production efficiency and product quality directly affect the economic benefits and market competitiveness of iron and steel enterprises,at present,China's blast furnace ironmaking technology is con-stantly updated,with low pollution,low consumption,low cost as the main goal,towards high efficiency,automation,large-scale forward.It presents an intelligent BF performance control system based on big data analysis.The system makes use of the hidden relationship in the statis-tical data of blast furnace operation for many years,and determines the operation mode of blast furnace by cluster analysis.Kohonen neural network is used as a clustering analysis tool.According to the parameters of blast furnace,different operation modes are obtained,and the de-sign idea of expert system is put forward.The expert system evaluates and optimizes the efficiency of the blast furnace against the objectives of maximum productivity and minimum coke consumption.In addition,the system can also provide computational support in planning the work of the workshop during a specific period of time.
blast furnace smeltingiron makingkohonen neural networkcluster analysisexpert system
万方数据
维普
