热物理流场的全景显示和数字分析方法。的审查
Methods for panoramic visualization and digital analysis of thermophysical flow fields. A review
摘要：
本文综述了近年来在液体、气体、等离子体和多相介质中实现的动态过程的记录、处理和分析的现代方法。评论作者观察流动可视化的物理基础和现代技术的基础，用于记录的流动图像的数字处理。简要分析了全景可视化方法的发展历程，其发展历程长达一个半世纪。在过去十年的工作中，重点是分析和识别全景热物理场的计算机处理方法、工具和技术，这使得获得有关流动的定量信息成为可能。该审查包含一个分析的出版物描述的主要现代方法的可视化流：方法的基础上的现象折射;电致发光;数字跟踪（粒子图像测速），可视化的表面流（PSP和TSP涂层，液晶;油涂层）。特别注意使用互相关图像处理算法的方法。这些原则是：数字跟踪法（PIV）、阴影背景法（BOS）、无籽阴影法、热像法、粘性涂层速度测量、PIV的显微、层析修正等。给出了机器学习在阴影调查大数据集分析中的应用实例。数值模拟数据可视化（模拟实验流场）的一些例子。
英文摘要：
The paper presents a review of modern methods in the registration, processing, and analysis of dynamic processes in liquids, gases, plasmas, multiphase media, which are realized in researches and technology. The review author observes both the physical fundamentals of flow visualization and the basics of modern technologies for the digital processing of recorded flow images. A brief analysis of the panoramic visualization methods progress history covers a period of one and a half centuries. In the works of the last decade, the focus is on the methods of computer processing, tools, technologies for analyzing and recognizing panoramic thermophysical fields, which make it possible to obtain quantitative information about flows. The review contains an analysis of publications describing the main modern methods of visualization of flows: methods based on the phenomenon of refraction; electroluminescence; digital tracing (particle image velocimetry), visualization of surface flows (PSP and TSP coatings, liquid crystals; oil coatings). Particular attention is paid to methods using cross-correlation image processing algorithms. Those are: digital tracing (PIV), shadow background method (BOS), seedless shadow methods, thermographic PIV, velocity measurement in viscous coatings, micro, tomographic modifications of PIV, etc. The actual problem of digital data analyzing in a panoramic experiment is touched upon - the problem of big data. Examples of machine learning use in the analysis of big data sets of shadow surveys are given. Some examples of numerical simulation data visualization (simulation of experimental flowfields) are considered.
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