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中文摘要：
针对氧化铝回转窑烧成带工况变化复杂难以实现连续在线检测，长期依赖人工看火操作的难题，提出了利用计算机图像处理技术模拟传统的人工看火过程进行窑况识别研究的方法，方法包括两个部分：提取烧成带火焰图像特征，融合关键工艺过程数据组成混合特征；建立具有准正态二又树结构的支持向量机窑况识别模型对混合特征数据进行分类识别。最后，应用该方法对采集得到的火焰图像数据与过程数据进行仿真实验研究，获得了满意的效果。
英文摘要：
Considering the complexity, importance of the condition variation of the alumina rotary kiln burning zone and the deficiency of process detection method, a new method was put forward, in order to simulate traditional man-watch operation with computer image processing techniques. At first, flame image features were extracted, hybrid features were composed with important process data, then status recognition model was constructed based on semi-symmetrical binary tree structure and SVM theory, and hybrid features were used as model input, status recognition results as model ou~out, status recognition research was carried out for burning zone of alumina rotary Mln. At last, this method was applied to the application research based on the flame image and process data from practical industrial process, then a satisfied result was got.
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