Compensation Method for Molten Iron Temperature Measurement Based on Heterogeneous Features of Infrared Thermal Images

Accurate temperature measurement of blast furnace molten iron is essential for regulating the furnace temperature. However, the dust interference at blast furnace cast field makes it difficult to measure molten iron temperature accurately using the infrared temperature measurement method. To reduce the influence of dust on the results of infrared measurement method, a compensation method using the heterogeneous features of infrared images is proposed in this article. First, the infrared image of the molten iron flow is divided into subregions, from which the subregions containing only molten iron are selected. Then, the statistic and the texture features influenced by dust are extracted from the selected subregions. Finally, the heterogeneous features are used as the compensation model input to estimate the measurement error of each subregion and compensate for the molten iron temperature. Experimental results demonstrate that the compensation method can significantly reduce the infrared measurement errors caused by dust and obtain accurate molten iron temperature.