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回转窑烧成带状态混合智能识别方法
Alternative TitleHybrid Recognition Method for Burning Zone Condition of Rotary Kiln
刘金鑫; 朱云龙; 沈喆; 孙鹏
Department信息服务与智能控制技术研究室
Source Publication自动化学报
ISSN0254-4156
2012
Volume38Issue:7Pages:1153-1161
Indexed ByEI ; CSCD
EI Accession number20123615396072
CSCD IDCSCD:4579394
Contribution Rank1
Funding Organization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
Keyword氧化铝回转窑 烧成带状态 图像处理 模式识别
Abstract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.
Other AbstractBecause 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. 
Language中文
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/9948
Collection信息服务与智能控制技术研究室
Affiliation1.中国科学院沈阳自动化研究所工业信息学研究室
2.东北大学信息科学与工程学院
3.中国刑事警察学院声像资料检验技术系
Recommended Citation
GB/T 7714
刘金鑫,朱云龙,沈喆,等. 回转窑烧成带状态混合智能识别方法[J]. 自动化学报,2012,38(7):1153-1161.
APA 刘金鑫,朱云龙,沈喆,&孙鹏.(2012).回转窑烧成带状态混合智能识别方法.自动化学报,38(7),1153-1161.
MLA 刘金鑫,et al."回转窑烧成带状态混合智能识别方法".自动化学报 38.7(2012):1153-1161.
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