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作 者:丁经纬[1] 马增益[1] 黄群星[1] 严建华[1] 池涌[1] 王飞[1] 岑可法[1]
机构地区:[1]浙江大学热能工程研究所,浙江杭州310027
出 处:《中国电机工程学报》2003年第2期136-139,共4页Proceedings of the CSEE
基 金:国家自然科学基金项目(50106015);教育部高等学校骨干教师资助计划项目(G70017)
摘 要:随着数字图像处理技术的发展,使得利用面阵CCD进行电厂锅炉炉膛温度测量成为可能。该文分析了基于火焰辐射图像的炉膛温度场的测量原理,建立了针对测试系统和测量对象的非线性优化数学模型,提出了一种非线性寻优算法,最后在某电厂锅炉进行了验证性试验,并给出了实验结果,结果表明,这种测试方法方便可行,具有一定的应用前景。As the development of the digital imaging technology, it becomes possible to measure the temperature distribution in the furnace of the power plant, using the plane surface array CCD camera. In this paper, due to the radiative transfer equation, we analyze the reconstruction algorithm of reconstructing temperature field based on the flame radiative image. A synthesized non-linear mathematic model is developed to solve the controlling equations. This model combines genetic algorithm with Powell algorithm in optimization method, which adapts to the reconstruction of the temperature. To validate this model, an experimental system was set up in the boiler of a 300MWe power plant. The temperature distribution in the boiler is calculated according to this model. The experimental result indicates the convenience and accuracy of this algorithm.
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