Analysis of blast furnace cross thermometric based on spatial data mining

Current clustering algorithms are limited in insufficient use of spatial information of cross thermometric temperature data. To address this problem, this paper presents a new similarity and distance measurement approach with which the spatial distance can be effectively computed. On the basis of new measurement, the clustering result of Jinan Iron and Steel 1# blast furnace cross thermometric temperature data show that the method can fully extract useful information of the temperature data and in practical applications with higher accuracy and reliability.