摘要
针对转炉烟气存在干扰性和滞后性的问题,利用与其同源产生的光谱信息,修正烟道安装环境对系统数据采集的扰动,研究转炉烟气的光谱分析新技术。为探究两者之间的相关性,首先利用多重分形理论对光谱数据的能量值、连续谱峰值、离散谱峰值比和炉气数据的变化率特征进行运算,求取四者之间的关联性;然后使用粒子群算法优化支持向量机预测模型(PSO-SVM),以光谱数据的能量值、连续谱峰值和离散谱峰值比作为输入,以炉气数据的变化率特征作为输出,进行预测实验。结果表明:能量值、连续谱峰值等4个指标的多重分形谱最大值均接近于1.011492,谱宽均接近于0.000014476,且实验曲线对称性相同,表明多重分形谱具有极强的自相似性和复杂性;同时,预测模型实验结果差异性的均方误差为0.0125。
In allusion to the problems of interference and hysteresis of converter flue gas,a new spectral analysis technology of converter flue gas is researched by using the spectral information generated from the same origin to correct the disturbance of flue installation environment to system data acquisition.In order to explore the correlation between the two,the multifractal theory is used to calculate the characteristics of the energy value,the peak ratio of the continuum spectrum and the peak ratio of the discrete spectrum of the spectral data and the change rate of the furnace gas data,so as to find the correlation between the four.The particle swarm optimization support vector machine(PSO-SVM)prediction model is used to conduct the Prediction experiment by taking the energy value,continuum peak and discrete peak ratio of the spectral data as the input,and the change rate characteristics of the furnace gas data as the output.The results show that the maximum values of the multifractal spectra of the four indexes such as energy value and continuous spectrum peak,are close to 1.011492,the spectral widths are close to 0.000014476,and the symmetry of the experimental curves are the same,indicating that the multifractal spectrum has strong self-similarity and complexity.The mean square error of the difference of experimental results of the PSO-SVM prediction model is 0.0125.
作者
张瑞成
刘永龙
韩阳
ZHANG Ruicheng;LIU Yonglong;HAN Yang(School of Electrical Engineering,North China University of Science and Technology,Tangshan 063210,China;College of Metallurgy and Energy,North China University of Science and Technology,Tangshan 063210,China)
出处
《现代电子技术》
北大核心
2025年第2期162-168,共7页
Modern Electronics Technique
基金
河北省高等学校自然科学研究项目:基于转炉炉口火焰光谱调制的烟气分析动态矫正模型研究(QN2023153)。
