首页 | 本学科首页   官方微博 | 高级检索  
     

基于图像识别的二次仿真及在氧化铝回转窑上的应用
引用本文:罗宗山.基于图像识别的二次仿真及在氧化铝回转窑上的应用[J].有色金属(冶炼部分),2011(11):30-33.
作者姓名:罗宗山
作者单位:长沙有色冶金设计研究院,长沙,410011
基金项目:国家自然科学基金重点项目(60634020);国家自然科学基金面上项目(50874020)
摘    要:提出一种基于图像识别的二次仿真的方法。首先,介绍图像—运行工况—数值仿真结果之间的关系。其次,提出一种二次仿真系统的框架,并详细介绍二次仿真的数学模型、图像识别、聚类等模块。最后,以回转窑火焰图像及回转窑内温度场为对象,实现了系统原型机。通过实际数据进行验证试验,结果表明,该方法能够较准确地给出仿真结果,极大缩短计算时间,从而为回转窑内温度监测提供一种新思路。

关 键 词:二次仿真  图像识别  Fluent数值模拟  回转窑  火焰图像
收稿时间:4/6/2011 12:00:00 AM

Image Recognition Based on Secondary Simulation and its Application on Alumina Rotary Kiln
LUO Zong-shan.Image Recognition Based on Secondary Simulation and its Application on Alumina Rotary Kiln[J].Nonferrous Metals(Extractive Metallurgy),2011(11):30-33.
Authors:LUO Zong-shan
Affiliation:Changsha Engineering and Research Institute of Nonferrous Metallurgy
Abstract:A secondary simulation method based on the pattern recognition was proposed. First, the relationship between images, running states and simulation results were introduced. Then, a secondary simulation framework was proposed, and the mathematic model, pattern recognition and running states clustering were explained in detail. Finally, a system prototype machine was achieved by VC++6.0 based on the images and production data sampled from the rotary kiln of an alumina plant. Simulation experiments were carried out between the proposed method and the Fluent software under the corresponding conditions. The results indicate that the proposed method can obtain satisfactory simulation result in very short time, which provides a novel view for the temperature monitoring in rotary kilns.
Keywords:Secondary simulation  Pattern recognition  Fluent numerical simulation  Rotary kiln  Flame image  
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《有色金属(冶炼部分)》浏览原始摘要信息
点击此处可从《有色金属(冶炼部分)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号