Abstract
In this paper, BOF steelmaking cost data from a steelmaking plant is analyzed, results show that production fluctuations greatly impact BOF cost, the cost of the best heat is much lower than average. Its presented that if every heat can be operated as the best heat, the average cost will reduced dramatically. The software pro-vides a method which is based on PLC network; and assisted with k-means clustering and feedback approach. After compiling software features, covering data acquisition, data storage, data filter and analysis, and data feedback control, the software is finished and implemented in production. With optimization of software, BOF smelting consumption declined and smelting fluctuation reduced significantly.
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