论文部分内容阅读
利用声学测量技术进行锅炉炉膛温度场测量时,重建算法是实现炉膛温度场重建的关键。而在基于像素分割的重建算法中,准确、快速求解飞渡时间矩阵方程是重点及难点。对于求解大型稀疏矩阵方程问题,GMRES(广义极小残差法)效果比较好,尤其是针对大型稀疏非对称矩阵的求解问题。本研究将GMRES算法应用于锅炉炉膛三维温度场重建过程中,并利用MATLAB软件对单峰对称和单峰偏斜两种三维理想温度场模型进行了计算机仿真重建。研究表明:该算法重建精度高、速度快,可用于锅炉炉内三维温度场重建过程。
When using the acoustic measurement technology to measure the temperature field of the boiler hearth, the reconstruction algorithm is the key to realize the reconstruction of the hearth temperature field. However, in the pixel-based reconstruction algorithm, it is an important and difficult point to accurately and quickly solve the Fermat time matrix equation. For solving large-scale sparse matrix equations, GMRES (generalized minimal residual method) works well, especially for solving large-scale sparse matrix asymmetries. In this study, the GMRES algorithm was applied to the reconstruction of the three-dimensional temperature field of the boiler hearth. Two-dimensional ideal temperature field models of unimodal symmetry and unimodal deviation were simulated by MATLAB software. The research shows that the algorithm has high reconstruction accuracy and high speed and can be used in the reconstruction of three-dimensional temperature field in a boiler.