Dedicated algorithm based on discrete cosine transform for the analysis of industrial processes using ultrasound tomography

Mariusz Mazurek, T. Rymarczyk, Konrad Kania, G. Kłosowski
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引用次数: 3

Abstract

The article presents a cyber-physical system for acquiring, processing and reconstructing images from measurement data. The technology is based on process tomography, intelligent sensors, machine learning, Big Data, Cloud Computing, as well as Internet of Things as a solution for industry 4.0. Industrial tomography allows observation of physical and chemical phenomena without the need for internal penetration, in a non-destructive way and allows monitoring of manufacturing processes in real time. The application contains a dedicated algorithm based on discrete cosine transformation to solve the inverse problem and a specialized intelligent system for tomographic measurements.
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基于离散余弦变换的工业过程超声成像分析专用算法
本文介绍了一种从测量数据中获取、处理和重建图像的信息物理系统。该技术基于过程断层扫描、智能传感器、机器学习、大数据、云计算以及物联网作为工业4.0的解决方案。工业断层扫描允许观察物理和化学现象,而无需内部渗透,以非破坏性的方式,并允许实时监控制造过程。该应用程序包含基于离散余弦变换的专用算法来解决逆问题,以及用于层析测量的专用智能系统。
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