Research and Application of Collection Algorithm for Characteristic Section Image of Sintering Machine PlantTail
LIU Zhengjian1,ZUO Haibin1,ZHANG Handou2, ZHANG Jianliang1,YANG Tianjun1
1. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China;2. Donganshan Sintering Plant, Anshan Mining Co., Anshan Iron and Steel Group, Anshan 114041, Liaoning, China
Abstract：Ｔhe definition of characteristic section image of sintering machine planttail is thoroughly described and deeply analyzed for the first time, two types of characteristic section image and pallet critical value are proposed, and the calculation method of pallet critical value is demonstrated. For 360 m2 sintering machine at Donganshan sintering plant, the disadvantages of existing collection algorithm were eliminated by using, a new algorithm,which is simple, efficient, adaptable and easy to use.By resonable presetting up and down borderlines of the judging area and three simple judging thresholds,the new algorithm can exactly collect characteristic section image for every operation mode,and by presetting minimum average temperature the new algorithm can efficiently eliminate the misjudgment for glow image. Since the system was put into production in Jan, 2007, the rate of exact collecting characteristic section image has been over 95%.
刘征建;左海滨;张瀚斗;张建良;杨天钧. 烧结机尾特征断面图像采集算法的研究及应用[J]. 钢铁, 2008, 43(3): 21-0.
LIU Zhengjian;ZUO Haibin;ZHANG Handou;ZHANG Jianliang;YANG Tianjun. Research and Application of Collection Algorithm for Characteristic Section Image of Sintering Machine PlantTail. Iron and Steel, 2008, 43(3): 21-0.
2008, Vol. 43 
