基于比色测温技术的RH炉内物质聚类分析

大气与环境光学学报 ›› 2016, Vol. 11 ›› Issue (2): 149-154.

基于比色测温技术的RH炉内物质聚类分析

吴海滨, 高朋, 项龙飞, 陈新兵, 庞剑, 熊丹枫

（安徽大学物理与材料科学学院，安徽合肥 230601）

收稿日期:2014-05-12 修回日期:2014-05-19 出版日期:2016-03-28 发布日期:2016-03-18
通讯作者: 吴海滨（1962-），男，硕士，高级工程师，1990年起，从事特种工业电视系列产品的开发设计及图像信息处理等研究。 E-mail:whb62@163.cn
作者简介:吴海滨（1962-），男，硕士，高级工程师，1990年起，从事特种工业电视系列产品的开发设计及图像信息处理等研究。
基金资助:
科技部创新基金项目 (07C26213400516) 资助

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

WU Haibin, GAO Peng, XIANG Longfei, CHEN Xinbing, PANG Jian, XIONG Danfeng

(School of Physics and Material Science, Anhui University, Hefei 230601, China)

Received:2014-05-12 Revised:2014-05-19 Published:2016-03-28 Online:2016-03-18

摘要/Abstract

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。

关键词: RH炉, 比色测温, 模糊C均值, 灰度

Abstract:

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.

Key words: RH refining, colorimetric temperature measurement, fuzzy C means, gray

中图分类号:

TN215

吴海滨高朋项龙飞陈新兵庞剑熊丹枫. 基于比色测温技术的RH炉内物质聚类分析[J]. 大气与环境光学学报, 2016, 11(2): 149-154.

WU Hai-Bin, GAO Peng, XIANG Long-Fei, CHEN Xin-Bing, PANG Jian, XIONG Dan-Feng. Analysis of the Substance of Clustering RH Furnace Based on the Colorimetric Temperature Measurement Technology[J]. Journal of Atmospheric and Environmental Optics, 2016, 11(2): 149-154.

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