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《Energy for Metallurgical Industry》 2016-04
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Discharging pacing forecast technology for walking beam reheating furnace

Zhang Jiulin;Gu Shuo;Baosteel Industrial Furnace Engineering and Technology Co.,Ltd.;  
Discharging pacing forecast is a basic technology to optimize the heating process of Walking beam furnace,also be of great significance to optimal heating curve selection,optimal temperature setting of different regions in the furnace and comparable energy consumption analysis. Systematically discussed the calculation process of furnace 's discharging pacing by using recursive method and self-learning method. The recursive method analyzed the influence on discharging pacing made by the followed factors: pacing of mill line,actions of walking beam machine and heating capacity of furnace,and also discussed the factors of roller transmission time and the impact of charging and discharging time on walking machine's actions to make the theoretical model more in line with the actual situation.Discharging pacing self- learning is a method based on statistical learning,which can accurately forecast each furnace's discharging interval by combining sample collection and analysis with expert database.
【CateGory Index】: TG307
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