基于比色测温技术的RH炉内物质聚类分析  

Analysis of the Substance of Clustering RH Furnace Based on the Colorimetric Temperature Measurement Technology

作　　者：吴海滨[1] 高朋[1] 项龙飞[1] 陈新兵[1] 庞剑[1] 熊丹枫[1] 

机构地区：[1]安徽大学物理与材料科学学院,安徽合肥230601

出　　处：《大气与环境光学学报》2016年第2期149-154,共6页Journal of Atmospheric and Environmental Optics

基　　金：科技部创新基金项目;07C26213400516~~

摘　　要：RH精炼炉钢水温度监测中不可避免会出现因钢水滚动、钢渣、钢垢等造成的测量误差。通过对钢水和非钢物质的精确区分和聚类分析,例如关键参数的设计、采样区域的选择、灰度值的修正以及温度模型的建立等,从而准确获取钢水的实际温度,并给出温度变化曲线,提高钢水温度数据测量的准确性和连续性,便于精密炼钢和科学炼钢的实现。The appearance of measurement error is inevitably caused by steel rolling,steel slag,steel scale in the temperature monitoring of molten steel in RH refining furnace.Through the accurate discrimination and cluster analysis of the molten steel and non steel material,such as design,key parameters of the sampling area,gray value correction and the temperature model,the actual temperature of the molten steel can be obtained,and temperature variation curves are given to improve the accuracy and continuity of temperature measurement,and easily achieve precision steelmaking and scientific steelmaking.

关 键 词：RH炉 比色测温 模糊C均值 灰度 

分 类 号：TF769.4[冶金工程—钢铁冶金]