Zhang Yuchong, Omrani Adel, Yadav Rahul, Fjeld Morten
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.
Sensors (Basel). 2021 Sep 29;21(19):6515. doi: 10.3390/s21196515.
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.
基于工业过程层析成像（IPT）的过程控制是工业加热过程中提高系统效率和质量的一种明智方法。在使用该方法时，合适的数据流管道和可视化对于领域用户实现精确的数据采集和分析至关重要。在本文中，我们针对一个特定案例——微波层析成像（MWT）控制的工业微波干燥系统，提出了一个完整的数据处理和可视化工作流程。此外，我们还展示了最新的增强现实（AR）技术，以支持相应的数据可视化和现场分析。作为利用AR造福IPT系统的开创性研究，所提出的AR模块为相关用户提供了与过程数据相关的直观且易于理解的可视化。在该案例的数据流中，包含了时间反转成像算法、成像后分割以及体可视化模块。对于时间反转算法，我们详尽地介绍了MWT图像重建的每个步骤，然后展示了模拟结果。对于成像后分割，利用自动层析分割算法来揭示重建图像中包含的重要信息。对于体可视化，展示了生成的3D信息。最后，所提出的AR系统与正在进行的过程数据集成，包括重建图像、分割图像和体图像，用于方便领域用户进行交互式现场数据分析。AR系统的核心部分由一个移动应用程序实现，目前在iOS/安卓平台上均受支持。
