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Supporting visualization analysis in industrial process tomography by using augmented reality - A case study of an industrial microwave drying system

Zhang, Yuchong, 1994 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Omrani, Adel (author)
Karlsruher Institut für Technologie (KIT),Karlsruhe Institute of Technology (KIT)
Yadav, Rahul (author)
Itä-Suomen Yliopisto,University of Eastern Finland
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Fjeld, Morten, 1965 (author)
Chalmers tekniska högskola,Chalmers University of Technology
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 (creator_code:org_t)
2021-09-29
2021
English.
In: Sensors. - : MDPI AG. - 1424-8220. ; 21:19
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

Keyword

Industrial process tomography
Microwave tomography
Multilayered media
Dyadic Green’s function
Augmented reality
Time-reversal imaging
Data processing and visualization

Publication and Content Type

art (subject category)
ref (subject category)

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