A New Correction Method of Electronic-weighing System for Blast Furnace

摘要

In the injection of pulverized coal into a blast furnace, there are some factors which affect the readout of electronic-weighing system. Through analyzing the measuring errors, it is found that the main reasons are pressure fluctuations of storage tank and puffing tank. According to the interaction of pressures, a neural-network-based method combined with fuzzy logic is adopted to enhance the precision. Experimental results show this method is satisfactory.