基于径向基函数的声速法炉内测温实验研究  

Experimental Research on Furnace Temperature Measurement by Radial Basis Function Based on Acoustic Pyrometry

作　　者：檀经考 李娜[1] 陈乐航 周屈兰[1] TAN Jingkao;LI Na;CHEN Lehang;ZHOU Qulan(State Key Laboratory of Multiphase Flow in Power Engineering,Xi'an Jiaotong University,Xi'an 710049,Shaanxi Province,China)

机构地区：[1]西安交通大学动力工程多相流国家重点实验室,陕西西安710049

出　　处：《动力工程学报》2025年第1期28-36,共9页Journal of Chinese Society of Power Engineering

基　　金：国家重点研发计划资助项目(2021YFC3001803)。

摘　　要：温度测量对于电厂锅炉和其他大型工业设备的安全稳定运行至关重要。传统温度测量方法只能获得点参数,而不能获得连续参数场。声波层析成像不仅可以有效地获得温度的相对大小,而且大大降低了成本和难度,适用于炉膛内温度测量。搭建了一个简单的二维实验尺度声学测温平台,对利用声学方法重建温度场算法进行了验证。根据声速与气体介质温度的关系,在温度场重建中采用最小二乘正交三角分解(LSQR)算法,能够准确反映目标区域(ROI)的温度分布。引入径向基函数可以极大地提高LSQR算法的重建精度。结果表明:声速法重建二维温度场在实际测量中是可行的。Temperature measurement is essential for ensuring the safe and stable operation of power plant boilers and other large-scale industrial equipment.Traditional temperature measurement techniques are limited to acquiring point-specific parameters instead of continuous parameter fields.Acoustic tomography not only effectively captures the relative magnitude of temperature but also notably decreases cost and complexity,making it suitable for furnace temperature measurement.A straightforward two-dimensional bench-scale acoustic temperature measurement platform was constructed in the laboratory to validate temperature field reconstruction algorithms using acoustic methods.According to the relationship between sound velocity and gas medium temperature,the least square QR decomposition(LSQR)algorithm was capable of accurately representing the temperature distribution within the region of interest(ROI)when the temperature field reconstruction was performed.The incorporation of radial basis functions significantly enhanced the reconstruction accuracy of the LSQR algorithm.Results show that employing acoustic pyrometry for reconstructing a two-dimensional temperature field is viable in practical measurements.

关 键 词：声层析成像 声速法 重建算法 温度场重建 径向基函数 

分 类 号：TK311[动力工程及工程热物理—热能工程]