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- Zhang, Yuchong, 1994, et al.
(författare)
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A novel augmented reality system to support volumetric visualization in industrial process tomography
- 2021
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Ingår i: 15th International Conference on Interfaces and Human Computer Interaction, IHCI 2021 and 14th International Conference on Game and Entertainment Technologies, GET 2021 - Held at the 15th Multi-Conference on Computer Science and Information Systems, MCCSIS 2021. ; , s. 3-9
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Konferensbidrag (refereegranskat)abstract
- Augmented Reality (AR), as a variation of Virtual Reality (VR), has been proved useful for decades. However, it is not widely utilized in most industries. To fill the gap between this technique and industrial usage, we propose a novel AR system in the context of industrial process tomography (IPT). As the pioneering AR deployment in IPT, this system offers a new solution to underpin the onsite data analysis regarding volumetric visualization. In our work, an endeavor to provide intelligent control for an industrial drying system is pursued by using microwave tomography (MWT), a breed of IPT, as an imaging modality. Here, the AR system is integrated with the MWT for post processing of its volumetric images, containing critical information of the industrial process. The core part of the AR system is implemented by an interactive mobile app that is supported on iOS/Android platforms. The overall system is generalized by four distinctive findings: interactivity, mobility, information richness, and mutual collaboration. Our proposed system opens the horizon of leveraging AR in IPT to benefit domain-related users regarding onsite data analysis and visualization.
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| 2. |
- Zhang, Yuchong, 1994, et al.
(författare)
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Supporting visualization analysis in industrial process tomography by using augmented reality - A case study of an industrial microwave drying system
- 2021
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Ingår i: Sensors. - : MDPI AG. - 1424-8220. ; 21:19
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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