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Optimisation of Technological Processes by Solving Inverse Problem through Block-Wise-Transform-Reduction Method Using Open Architecture Sensor Platform

Author

Listed:
  • Konrad Kania

    (Faculty of Management, Lublin University of Technology Lublin, 20-618 Lublin, Poland)

  • Tomasz Rymarczyk

    (Research & Development Center Netrix S.A., 20-704 Lublin, Poland
    Faculty of Administration and Social Sciences, University of Economics and Innovation, 20-209 Lublin, Poland)

  • Mariusz Mazurek

    (Institute of Philosophy and Sociology, Polish Academy of Science, 00-330 Warsaw, Poland)

  • Sylwia Skrzypek-Ahmed

    (Faculty of Administration and Social Sciences, University of Economics and Innovation, 20-209 Lublin, Poland)

  • Mirosław Guzik

    (Faculty of Transport and Computer Science, University of Economics and Innovation, 20-209 Lublin, Poland)

  • Piotr Oleszczuk

    (Faculty of Management, Lublin University of Technology Lublin, 20-618 Lublin, Poland)

Abstract

This paper presents an open architecture for a sensor platform for the processing, collection, and image reconstruction from measurement data. This paper focuses on ultrasound tomography in block-wise-transform-reduction image reconstruction. The advantage of the presented solution, which is part of the project “Next-generation industrial tomography platform for process diagnostics and control”, is the ability to analyze spatial data and process it quickly. The developed solution includes industrial tomography, big data, smart sensors, computational intelligence algorithms, and cloud computing. Along with the measurement platform, we validate the methods that incorporate image compression into the reconstruction process, speeding up computation and simplifying the regularisation of solving the inverse tomography problem. The algorithm is based on discrete transformation. This method uses compression on each block of the image separately. According to the experiments, this solution is much more efficient than deterministic methods. A feature of this method is that it can be directly incorporated into the compression process of the reconstructed image. Thus, the proposed solution allows tomographic sensor-based process control, multidimensional industrial process control, and big data analysis.

Suggested Citation

  • Konrad Kania & Tomasz Rymarczyk & Mariusz Mazurek & Sylwia Skrzypek-Ahmed & Mirosław Guzik & Piotr Oleszczuk, 2021. "Optimisation of Technological Processes by Solving Inverse Problem through Block-Wise-Transform-Reduction Method Using Open Architecture Sensor Platform," Energies, MDPI, vol. 14(24), pages 1-21, December.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8295-:d:698612
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    Cited by:

    1. Michał Styła & Bartłomiej Kiczek & Grzegorz Kłosowski & Tomasz Rymarczyk & Przemysław Adamkiewicz & Dariusz Wójcik & Tomasz Cieplak, 2022. "Machine Learning-Enhanced Radio Tomographic Device for Energy Optimization in Smart Buildings," Energies, MDPI, vol. 16(1), pages 1-20, December.

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