氧化铝回转窑烧成带火焰图像识别系统

作     者：孙鹏 柴天佑 周晓杰 岳恒 SUN Peng;CHAI Tianyou;ZHOU Xiaojie;YUE Heng

作者机构：东北大学流程工业综合自动化教育部重点实验室辽宁沈阳110004 

出 版 物：《化工学报》 (CIESC Journal)

年 卷 期：2008年第59卷第7期

页      面：1839-1842页

核心收录：

学科分类：0817[工学-化学工程与技术] 08[工学] 080203[工学-机械设计及理论] 0703[理学-化学] 0802[工学-机械工程] 

基　　金：高等学校学科创新引智计划项目(B08015) 教育部科学技术研究重大项目(308007) 国家高技术研究发展计划项目(2007AA041404)~~ 

主　　题：回转窑烧成带 火焰图像识别系统 火焰图像处理 模式识别 

摘      要：In the rotary kiln alumina production process, because of the complexity and variability of rotary kiln burning zone conditions, some important quality index related process parameters can not be detected continuously *** the different burning zone conditions on-line is a key factor for the whole process automation of alumina industry. The current method depends on flame observation by naked *** order to realize automated recognition of burning zone conditions, a method which learned experience and knowledge from naked eye observation was proposed to recognize burning zone conditions by utilizing the image processing technique and pattern classification *** first, features were extracted from flame images of rotary kiln burning zone and were combined with some important process parameters to constitute a hybrid feature *** a model with a binary tree based SVM (support vector machine) was *** last, a flame image recognition system was *** system was successfully applied to a domestic alumina plant, and good economic benefit was realized.