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加权实时数据融合在线阵CCD测温中的应用研究 被引量:4

Research on weighted fusion algorithm in temperature measurement system based on linear CCD
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摘要 针对面阵CCD测温系统的复杂性及对波长的不可选择性,提出了一种利用线阵CCD进行温度测量的方法,并在2.5kW热处理炉上对其进行了实验研究。实验结果表明,该方法简单易行,可任意选择波长组合,利用CCD光谱响应及比色测温原理,得到了测量点的温度值。由于受波长等多种因素的影响,所测得的值之间偏差较大。为了减小误差,引入了加权实时数据融合算法。与传统的算术均值方法相比,该算法计算量小,精度较高,且无需任何先验知识,仅根据各传感器的输出信息就能使融合后的估计值得到优化。 The temperature measurement system based on Charge-Coupled Devices (CCD) and Wien' s radiation law has been developed for industrial heat treatment. Because, the system based on a matrix CCD is complex and has no choice to use the three wavelengths of red, green and blue. A new method based on a linear CCD is presented, By using the method, experiments are performed on a 2.5kW heat treatment furnace, which shows that wavelengths can be chosen randomly to get the temperature. To reduce the errors, a multi-sensor weighted fusion algorithm is applied. Compared with the arithmetic mean method, the algorithm can get optimal temperature without any prior knowledge of the surveying data.
出处 《光学技术》 EI CAS CSCD 北大核心 2007年第2期230-232,共3页 Optical Technique
关键词 线阵电荷耦合器件(CCD) 温度测量 加权数据融合 linear charge-coupled device(CCD) temperature measurement weighted fusion algorithm
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