Matlab炼钢火焰光谱数据处理+源程序
时间:2018-07-29 16:27 来源:毕业论文 作者:毕业论文 点击:次
| 摘要近年来，炼钢产业发展迅速，转炉炼钢在全世界都有着良好的发展前景。而决定转炉炼钢质量的关键就是终点预测。它关系到炼钢成本和环境的保护，关乎企业的根本利益。因此我们需要通过研究火焰光谱的方法来完成对转炉炼钢的有效终点控制。 本文通过对吹炼过程中不同时刻的火焰光谱的分析，对众多数据进行拟合，利用最小二乘法得到效果最好的曲线，用这个曲线作为经验公式，进行终点预测，达到终点控制的目的。其中使用Matlab来进行数据拟合，通过一文至多文的曲线拟合利用最小二乘法得到适合曲线，结果可以反映光谱随时间的变化情况，得到大致的变化规律。但炼钢过程中影响很多，这些不确定因素对结果仍有一定的影响，还需后续的研究努力。26427 关键词 ： 转炉炼钢 终点预测 火焰光谱 Matlab 数据拟合 毕业设计说明书外文摘要 Title Study on Flame Spectrum Data Processing of Steelmaking Abstract In recent years, the rapid development of steel industry, steelmaking in the world has good prospects for development. In the end of the forecast for steelmaking often determines the quality and efficiency of energy use of a steel furnace , which is related to the degree of damage to production costs and the environment, in the business community are interested in , and therefore , the need for the end of the carbon content conduct research to get a more precise rule. The control method is usually pided into steelmaking experience control, static control, dynamic control, and automatic control. Because the human eye can only get in the practical application of the fuzzy end of the carbon qualitative understanding of this paper , the relationship between the mouth of light intensity and carbon content and multi- time temperature furnace blowing process analysis was conducted on a large number of data fitting, using the least squares curve fitting method to get the best results, this curve as the basis for empirical formula to predict the end point , the purpose of controlling the experience . Use of Matlab programming for data fitting , one-dimensional , two-dimensional to multidimensional curve fitting , using the least squares method to obtain the most appropriate curve , the curve and get the public , the results could reflect changes in the carbon spectrum with time and circumstances, obtain approximate variation.But in the process of steelmaking affect many, these uncertain factors still have a certain impact on the results, it is necessary to research on the follow-up efforts. Keywords BOF Endpoint prediction flame spectrum Matlab data fitting 目 次 1 引言 1 1.1 课题背景及意义 1 1.2转炉炼钢概念 1 1.3 转炉炼钢的工艺流程 1 1.4红外传感器测量温度进行的终点预测 3 1.5光学图像法在转炉炼钢中的终点预测 4 1.6 本论文进行的主要工作 5 2 光谱采集和炉口火焰的光谱分析原理 6 2.1 相关物理量 6 2.2 热辐射的基本定律 6 2.3 炉口火焰分析 7 3 数据的滤波处理 9 3.1滤波原理 9 3.2 数据滤波 9 4碳含量与光谱强度预测模型分析 15 4.1 数据处理手段 15 4.1.1 线性拟合（ 线性模型） 15 4.1.2 二次函数拟合（ 二次多项式模型） 15 4.1.3 指数函数的数据拟合 15 (责任编辑：qin) |