多相流互相关测速算法综述  

Review of cross-correlation velocimetry algorithms for multiphase flow measurement

作　　者：万倪 钱相臣[1] 闫勇[2] Wan Ni;Qian Xiangchen;Yan Yong(Schoolof Control and Computer Engineering,North China Electric Power University,Beijing 102206,hina;School of Engineering,University of Kent,Canterbury,CT27NT,UK)

机构地区：[1]华北电力大学控制与计算机工程学院,北京102206 [2]肯特大学工程学院,肯特CT27NT

出　　处：《电子测量与仪器学报》2022年第5期1-11,共11页Journal of Electronic Measurement and Instrumentation

基　　金：国家自然科学基金(51827808);中央高校基本科研业务费专项资金(2019MS023)项目资助。

摘　　要：多相流广泛存在于现代工业生产中,其流速测量是保障生产过程安全及改善生产工艺质量和效率的关键。互相关技术是多相流流速测量的主要手段之一,但由于工业多相流流动状态的复杂性,经典的互相关算法难以满足测量的实时性和准确性的需求,在应用时有一定的局限性。本文综述了近年来运用互相关算法测量多相流流速的研究进展,并从提升算法精度和计算速度两方面对已有的改进方法进行了阐述和对比分析。评估结果表明,自适应互相关方法和频域相关方法均能在计算量较低的情况下获得准确度较高的结果,其中频域方法能够得到最稳定的速度测量结果。基于互相关算法的研究进展,本文还对可能的研究方向进行了讨论,为多相流互相关测速技术的发展提供借鉴。Multiphase flows widely exist in modern industries.The velocity measurement of multiphase flow is the key to ensure safety as well as improve the quality and efficiency of the production processes.Cross-correlation velocimetry is one of the main methods for the velocity measurement of multiphase flows.However,the classical cross-correlation algorithm is difficult to meet the demand of real-time and accuracy due to the complexity of industrial multiphase flows and thus has some limitations in application.In this paper,recent progress of the method is reviewed and the improvements that have been made to the method are elaborated and analyzed in terms of calculation efficiency and accuracy.Evaluation results show that both the adaptive cross-correlation method and the frequency domain method can obtain accurate results with less computational effort.Besides,the frequency domain method can also obtain the most stable measurement results.Based on the state-of-the-art cross-correlation velocimetry,possible future research is discussed for further development of the method.

关 键 词：互相关算法 多相流 流速测量 算法优化 

分 类 号：TH89[机械工程—仪器科学与技术]