Prediction Model of AOD Furnace Based on Flame Image Characteristic
Through analysis the principle of temperature measurement which was based on CCD image sensor, the mathematic model of temperature measurement with image was established. Then according to the character of CCD, the model was amended in bandwidth and gray body assumption. Experimental results show that during their own service of furnace the hit rate with prediction method of the Argon-Oxygen Decarburization refining end-point based on the flame image is higher than that with prediction method of Artificial experience. This way that measuring temperature by image is accurate. Therefore it has very wide application spaces)
flame image temperature measurement prediction model
Guan Changjun Lin Xiaomei You Wen Ma Haitao
College of Electrical & Electronic Engineering Changchun University of Technology Changchun, China College of Electrical & Electronic Engineering ChangchunUniversity of Technology Changchun, China
国际会议
长春
英文
17-20
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）