氧化铝回转窑烧成带火焰图像识别系统
Flame image recognition system for alumina rotary kiln burning zone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.