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机构地区:[1]北京科技大学信息工程学院,北京100083 [2]唐山学院
出 处:《冶金自动化》2009年第2期52-56,共5页Metallurgical Industry Automation
基 金:国家"863"计划探索项目(2006AA04Z177);毫米波国家重点试验室开放课题(K200801)
摘 要:针对高炉生产现场实时确切掌握高炉内部料面形状分布和变化的迫切需要,建立基于图像处理的高炉料面在线检测模型,并基于雷达物位计、数据采集卡、PLC控制系统和上位机进行了系统集成。综合曲线放样建模和曲面拟合或插值的优缺点,建立基于专家系统带权值的双算法综合料面生成模型,采用最小二乘法曲面拟合算法和NURBS曲面全局插值算法进行曲面拟合,生成料面,通过合理选取雷达数量,选定雷达检测点,最大程度地使雷达测量结果逼近实际料面情况。Due to urgent requirement of mastering distribution and change of burder surface in blast furnace production, an on-line detecting model of blast furnace burden was established based on image processing. The system was integrated with radar level meter, data acquisition card, PLC and PC. Synthesizing advantage and disadvantage of curve layout modeling and surface fitting or interpolating, burden model was built by use of dual algorithm with weight based on expert system. Surface fitting was carried out and burden surface was generated by use of least square method and NURBS. Radar measuring result is best close to actual burden surface through reasonable selection of radar number and radar measuring location.
分 类 号:TF325.6[冶金工程—冶金机械及自动化]
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