Supporting Visualization Analysis in Industrial Process Tomography by Using Augmented Reality—A Case Study of an Industrial Microwave Drying System

Sensors

Rahul Yadav¹  Yuchong Zhang²  Morten Fjeld²  Adel Omrani³ 

[1] Department of Applied Physics, University of Eastern Finland, FI-70210 Kuopio, Finland;Division of Interaction Design and Software Engineering, Department of Computer Science and Engineering, Chalmers University of Technology, SE-41296 Gothenburg, Sweden;Institute for Pulsed Power and Microwave Technology (IHM), Karlsruhe Institute of Technology (KIT), 76133 Karlsruhe, Germany;

关键词: industrial process tomography;    data processing and visualization;    microwave tomography;    augmented reality;    time-reversal imaging;    dyadic Green’s function;   

DOI  :  10.3390/s21196515

来源: DOAJ

【 摘 要 】

Industrial process tomography (IPT) based process control is an advisable approach in industrial heating processes for improving system efficiency and quality. When using it, appropriate dataflow pipelines and visualizations are key for domain users to implement precise data acquisition and analysis. In this article, we propose a complete data processing and visualizing workflow regarding a specific case—microwave tomography (MWT) controlled industrial microwave drying system. Furthermore, we present the up-to-date augmented reality (AR) technique to support the corresponding data visualization and on-site analysis. As a pioneering study of using AR to benefit IPT systems, the proposed AR module provides straightforward and comprehensible visualizations pertaining to the process data to the related users. Inside the dataflow of the case, a time reversal imaging algorithm, a post-imaging segmentation, and a volumetric visualization module are included. For the time reversal algorithm, we exhaustively introduce each step for MWT image reconstruction and then present the simulated results. For the post-imaging segmentation, an automatic tomographic segmentation algorithm is utilized to reveal the significant information contained in the reconstructed images. For volumetric visualization, the 3D generated information is displayed. Finally, the proposed AR system is integrated with the on-going process data, including reconstructed, segmented, and volumetric images, which are used for facilitating interactive on-site data analysis for domain users. The central part of the AR system is implemented by a mobile app that is currently supported on iOS/Android platforms.

【 授权许可】

Unknown