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题名: 回转窑烧成带状态混合智能识别方法
其他题名: Hybrid Recognition Method for Burning Zone Condition of Rotary Kiln
作者: 刘金鑫 ; 朱云龙 ; 沈喆 ; 孙鹏
作者部门: 信息服务与智能控制技术研究室
关键词: 氧化铝回转窑 ; 烧成带状态 ; 图像处理 ; 模式识别
刊名: 自动化学报
ISSN号: 0254-4156
出版日期: 2012
卷号: 38, 期号:7, 页码:1153-1161
收录类别: EI ; CSCD
产权排序: 1
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.
英文摘要: 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. 
语种: 中文
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/9948
Appears in Collections:信息服务与智能控制技术研究室_期刊论文

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