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基于辐射图像处理和辐射传热逆问题求解，建立一种二维炉膛温度场重建方法。该方法中，图像采集装置（ 如ＣＣＤ摄像机）成像单元接收的辐射能由炉膛中各气体和壁面单元发射的辐射能决定。采用Ｍｏｎｔｅ Ｃａｒｌｏ 方法计算出ＣＣＤ摄像机各成像单元所接收的各气体和壁面单元的辐射能的份额，即炉膛温度可从ＣＣＤ 摄像机成像单元接收的辐射能中重建温度分布。研究对象为一个由灰色炉膛壁面和本文课题获国家自然科学基金资助（ 项目编号：５９６０６００７） 。灰色气体所组成的二维辐射吸收系统。在ＣＣＤ 接收的能量加上正态分布随机误差后重建出的温度场与给定值吻合得很好，表明该方法有良好的工程应用前景。但提高热量分布重建结果的精度需要考虑炉膛系统中存在的质量流动
Based on the radiation image processing and the radiation heat transfer inverse problem solving, a two-dimensional furnace temperature field reconstruction method is established. In this method, the radiation energy received by the imaging unit of the image acquisition device (such as a CCD camera) is determined by the radiant energy emitted by each gas and wall unit in the furnace. The Monte Carlo method is used to calculate the fraction of the radiant energy of each gas and wall unit received by each imaging unit of the CCD camera, that is, the temperature of the furnace can be reconstructed from the radiant energy received by the CCD camera imaging unit. The object of study is a project funded by the National Natural Science Foundation of China (Grant No. 59606007). Gray gas consisting of two-dimensional radiation absorption system. The temperature field reconstructed after the energy received by the CCD plus the random error of the normal distribution is in good agreement with the given value, indicating that this method has a good engineering application prospect. However, increasing the accuracy of the heat distribution reconstruction results requires consideration of the mass flow present in the hearth system