Soft-sensing Method of Gas Flow Distribution of Blast Furnace Burden Surface Based on Multi-level Hierarchical Fusion Algorithm

Abstract

Since the operation of blast furnace (BF) is closely related to the gas flow distribution in terms of stability, high production and low energy consumption, a soft-sensing method of gas flow distribution of BF burden surface based on multi-level hierarchical fusion is accordingly presented in order to solve the diffculty of direct detection for gas flow distribution. First, the multi-source information is registered to the same spatial dimension and temporal dimension. And then, the model of burden distribution and the model of burden surface temperature profile are respectively designed by means of data level fusion, which could reflect the gas distribution in the radial and axial directions. Finally, the gas flow distribution state is obtained by using the fuzzy decision level information fusion algorithm. According to the field simulation to verify the detection method, the method can accurately reflect the gas flow distribution of BF burden surface and offer a necessary guidance for the BF operation.