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采用辐射图象处理进行二维炉膛温度分布重建是一个典型的逆问题。由一个数字代摄像装置 (CCD)镜头获取的信息重建温度场会使重建结果对误差过于敏感。本文采用4个CCD镜头来获取更多有效信息 ,将温度分布重建问题转化为一种线性规划求解问题。通过给定温度的范围来加强对问题的约束 ,并采用一种内点法算法建立了一种二维炉基金项目 :国家自然科学基金资助项目 ( 5960 60 0 7)膛温度分布重建和快速特征识别方法。对单峰和双峰温度分布的计算结果表明 ,此方法可以显著提高整个系统在辐射图象具有明显测量误差情况下的重建精度 ,满足实际应用的要求。该方法很容易推广到电站锅炉炉膛三维温度场重建及其它领域的应用中。
Radiation image processing for two-dimensional furnace temperature distribution reconstruction is a typical inverse problem. Reconstruction of the temperature field by information acquired by a digital generation camera (CCD) lens renders the reconstruction results too sensitive to errors. In this paper, four CCD cameras are used to obtain more effective information, and the problem of temperature distribution reconstruction is transformed into a linear programming problem. Through the given temperature range to strengthen the constraints on the problem, and using a kind of interior point algorithm to establish a two-dimensional furnace fund project: National Natural Science Foundation of China (5960607) bore temperature distribution reconstruction and rapid characteristics recognition methods. The calculation results of the temperature distribution of unimodal and bimodal show that this method can significantly improve the reconstruction accuracy of the whole system under the condition of obvious measurement error of the radiation image and meet the practical application requirements. The method is easy to be extended to the reconstruction of three-dimensional temperature field of power plant boiler hearths and other applications.