声学法重建炉内三维温度场的算法概述

Overview of Furnace Three-Dimensional Temperature Field Reconstruction Algorithms Based on Acoustic Theory

为了实现炉内温度场的实时在线监测,基于声学理论构建了数学模型。从算法的角度,将重建算法分为确定性方法和蒙特卡洛法。介绍了最小二乘法、ART算法等几种算法的基本原理,给出了重建三维温度场的基本公式,阐述了重建三维温度场的具体计算步骤。研究表明,这些算法可以用于求解三维温度场重建模型,但其对于不同温度场的适用性和精度还需仿真和实验验证。

In order to achieve real-time online monitoring of the furnace temperature field, a mathematical model was constructed based on acoustic theory. From the perspective of the algorithm, the reconstruction algorithms were divided into two categories： deterministic methods and Monte Carlo method. The basic principle of several algorithms such as least squares method, ART algorithm is introduced. The basic formulas are given for three-dimensional temperature field reconstruction. The specific steps to reconstruct three-dimensional temperature field is described. Studies show that these algorithms can be used to solve the three-dimensional temperature field reconstruction model, but its applicability for different temperature fields and precision needed to simulation and experimental verification.