Multi-scale entropy analysis on the complexity of blast furnace ironmaking process

Complexity study of blast furnace is of great importance. This paper employs the multi-scale entropy method to measure the complexity. The results show that it is more reasonable to analyze the complexity at different temporal scales. As the selected blast furnaces (BFs) are concerned, sulfur series is likely to exhibit more complex behavior than silicon series, and large BF tends to be more stable than small BF. The basic descending behaviors of multi-scale entropy of silicon series of two BFs with the scale factors increasing provide a possibility to simplify the silicon prediction issue using multi-scale methods in the future research.