回转窑烧成带状态混合智能识别方法  

Hybrid Recognition Method for Burning Zone Condition of Rotary Kiln

作　　者：刘金鑫[1] 朱云龙[1] 沈喆[2] 孙鹏[3] 

机构地区：[1]中国科学院沈阳自动化研究所工业信息学研究室,沈阳110016 [2]东北大学信息科学与工程学院,沈阳110819 [3]中国刑事警察学院声像资料检验技术系,沈阳110854

出　　处：《自动化学报》2012年第7期1153-1161,共9页Acta Automatica Sinica

基　　金：国家高技术研究发展计划(863计划)(2006AA04Z185;2007AA041404);国家自然科学基金(61174164;61003208;61105067)资助~~

摘　　要：针对氧化铝回转窑过程复杂、长期依赖人工看火操作而造成的生产过程不稳定、产品质量一致性差、能源消耗大等问题,提出了基于烧成带火焰图像特征与关键过程数据融合的烧成带状态自动识别方法,该方法由烧成带火焰图像的分割、特征提取、关键过程数据的融合以及二叉树支持向量机分类器模型组成.工业实验表明,该方法能够较准确地识别烧成带状态,为基于产品质量指标优化的窑温控制器提供决策依据.Because of complex conditions of the burning zone, alumina rotary kiln production control has depended on man-watch operation mode for many years, which causes problems of weak coherence of product quality and big depletion of resources. A recognition method for burning zone conditions based on flame images and process data is put forward in this paper, with data fusion techniques and pattern recognition techniques. The method consists of four parts： burning zone flame image segmentation, feature extraction, process key data fusion, and design and parameters selection for classifier model based on the support vector machine. The industrial experiments prove that the burning zone condition can be recognized correctly with the proposed method, which provide decision basis to kiln temperature controller for product quality indices optimization.

关 键 词：氧化铝回转窑 烧成带状态 图像处理 模式识别 

分 类 号：TF821[冶金工程—有色金属冶金]