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Energies
Volume 14
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10.3390/en14248295
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Article

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

by
Konrad Kania
1,
Tomasz Rymarczyk
2,3,*,
Mariusz Mazurek
4,
Sylwia Skrzypek-Ahmed
3,
Mirosław Guzik
5 and
Piotr Oleszczuk
1
1
Faculty of Management, Lublin University of Technology Lublin, 20-618 Lublin, Poland
2
Research & Development Center Netrix S.A., 20-704 Lublin, Poland
3
Faculty of Administration and Social Sciences, University of Economics and Innovation, 20-209 Lublin, Poland
4
Institute of Philosophy and Sociology, Polish Academy of Science, 00-330 Warsaw, Poland
5
Faculty of Transport and Computer Science, University of Economics and Innovation, 20-209 Lublin, Poland
*
Author to whom correspondence should be addressed.
Energies 2021, 14(24), 8295; https://doi.org/10.3390/en14248295
Submission received: 21 October 2021 / Revised: 23 November 2021 / Accepted: 7 December 2021 / Published: 9 December 2021
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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.
Keywords: big data; inverse problem; internet of things; cloud computing; quality of experience; optimisation; ultrasound tomography big data; inverse problem; internet of things; cloud computing; quality of experience; optimisation; ultrasound tomography

Share and Cite

MDPI and ACS Style

Kania, K.; Rymarczyk, T.; Mazurek, M.; Skrzypek-Ahmed, S.; Guzik, M.; Oleszczuk, P. Optimisation of Technological Processes by Solving Inverse Problem through Block-Wise-Transform-Reduction Method Using Open Architecture Sensor Platform. Energies 2021, 14, 8295. https://doi.org/10.3390/en14248295

AMA Style

Kania K, Rymarczyk T, Mazurek M, Skrzypek-Ahmed S, Guzik M, Oleszczuk P. Optimisation of Technological Processes by Solving Inverse Problem through Block-Wise-Transform-Reduction Method Using Open Architecture Sensor Platform. Energies. 2021; 14(24):8295. https://doi.org/10.3390/en14248295

Chicago/Turabian Style

Kania, Konrad, Tomasz Rymarczyk, Mariusz Mazurek, Sylwia Skrzypek-Ahmed, Mirosław Guzik, and Piotr Oleszczuk. 2021. "Optimisation of Technological Processes by Solving Inverse Problem through Block-Wise-Transform-Reduction Method Using Open Architecture Sensor Platform" Energies 14, no. 24: 8295. https://doi.org/10.3390/en14248295

APA Style

Kania, K., Rymarczyk, T., Mazurek, M., Skrzypek-Ahmed, S., Guzik, M., & Oleszczuk, P. (2021). Optimisation of Technological Processes by Solving Inverse Problem through Block-Wise-Transform-Reduction Method Using Open Architecture Sensor Platform. Energies, 14(24), 8295. https://doi.org/10.3390/en14248295

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