SENSOR PLATFORM OF INDUSTRIAL TOMOGRAPHY FOR DIAGNOSTICS AND CONTROL OF TECHNOLOGICAL PROCESSES

Krzysztof Król; Tomasz Rymarczyk; Konrad Niderla; Edward Kozłowski

doi:10.35784/iapgos.3371

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Published: Mar 31, 2023

DOI: https://doi.org/10.35784/iapgos.3371

Issue Vol. 13 No. 1 (2023)

Articles

AN ENHANCED DIFFERENTIAL EVOLUTION ALGORITHM WITH ADAPTIVE WEIGHT BOUNDS FOR EFFICIENT TRAINING OF NEURAL NETWORKS
Saithip Limtrakul, Jeerayut Wetweerapong

4-13
APPLICATION OF EXPLAINABLE ARTIFICIAL INTELLIGENCE IN SOFTWARE BUG CLASSIFICATION
Łukasz Chmielowski, Michał Kucharzak, Robert Burduk

14-17
AUTOMATIC DETECTION OF ALZHEIMER'S DISEASE BASED ON ARTIFICIAL INTELLIGENCE
Achraf Benba, Abdelilah Kerchaoui

18-21
IMPLEMENTATION OF AN ARTIFICIAL INTELLIGENCE-BASED ECG ACQUISITION SYSTEM FOR THE DETECTION OF CARDIAC ABNORMALITIES
Achraf Benba, Fatima Zahra El Attaoui, Sara Sandabad

22-25
DEVELOPMENT AND MODELING OF THE ANTENNA SYSTEM THE DIRECTION FINDER UNMANNED AERIAL VEHICLE
Juliy Boiko, Oleksiy Polikarovskykh, Vitalii Tkachuk

26-32
SENSOR PLATFORM OF INDUSTRIAL TOMOGRAPHY FOR DIAGNOSTICS AND CONTROL OF TECHNOLOGICAL PROCESSES
Krzysztof Król, Tomasz Rymarczyk, Konrad Niderla, Edward Kozłowski

33-37
FEATURES OF THE IMPLEMENTATION OF COMPUTER VISION IN THE PROBLEMS OF AUTOMATED PRODUCT QUALITY CONTROL
Nataliia Stelmakh, Ihor Mastenko, Olga Sulima, Tetiana Rudyk

38-41
SELF-OSCILLATING PARAMETRIC HUMIDITY SENSOR WITH FREQUENCY OUTPUT SIGNAL
Iaroslav Osadchuk, Alexander Osadchuk, Vladimir Osadchuk, Lyudmila Krylik

42-49
DEVELOPMENT OF A MODIFIED METHOD OF NETWORK TRAFFIC FORMING
Valeriy Kozlovskiy, Natalia Yakymchuk, Yosyp Selepyna, Serhii Moroz, Anatolii Tkachuk

50-53
DIGITALIZATION OF ENTERPRISE WITH ENSURING STABILITY AND RELIABILITY
Gulnar Balakayeva, Paul Ezhilchelvan, Yerlan Makashev, Christofer Phillips, Dauren Darkenbayev, Kalamkas Nurlybayeva

54-57
MODIFICATIONS OF EVANS PRICE EQUILIBRIUM MODEL
Serhii Zabolotnii, Sergii Mogilei

58-63
A COMPARATIVE STUDY OF VARIOUS MODELS OF EQUIVALENT PLASTIC STRAIN TO FRACTURE
Volodymyr Mykhalevych, Yurii Dobraniuk, Victor Matviichuk, Volodymyr Kraievskyi, Oksana Тiutiunnyk, Saule Smailova, Ainur Kozbakova

64-70

DOI

https://doi.org/10.35784/iapgos.3371

Authors

Krzysztof Król

krzysztof.krol@netrix.com.pl

1. Research and Development Center, Netrix S.A., 2. WSEI University, Poland

http://orcid.org/0000-0002-0114-2794

Tomasz Rymarczyk

tomasz.rymarczyk@netrix.com.pl

1. Research and Development Center, Netrix S.A., 2. WSEI University, Poland

http://orcid.org/0000-0002-3524-9151

Konrad Niderla

konrad.niderla@netrix.com.pl

1. Research and Development Center, Netrix S.A., 2. WSEI University, Poland

http://orcid.org/0000-0003-1280-0622

Edward Kozłowski

e.kozlovski@pollub.pl

Lublin University of Technology, Faculty of Management, Poland

http://orcid.org/0000-0002-7147-4903

Abstract

This article presents an industrial tomography platform used to diagnose and control technological processes. The system has been prepared so that it is possible to add individual sensors cooperating with the system of an intelligent cyber-physical platform with an open architecture. Additionally, it is possible to configure and cooperate with external systems freely. As part of the experimental work, a platform has been developed that allows individual subsystems and external customer systems to work together. The cyber-physical system, a new generation of digital systems, focuses mainly on the complex interplay and integration between cyberspace and the physical world. A cyber-physical system consists of highly integrated computational, communication, control and physical elements. The solution focuses mainly on the complex interplay and integration between cyberspace and the physical world.

Keywords:

electrical capacitance tomography, cyber-physical systems, sensors, electrical impedance tomography

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Król, K., Rymarczyk, T., Niderla, K., & Kozłowski, E. (2023). SENSOR PLATFORM OF INDUSTRIAL TOMOGRAPHY FOR DIAGNOSTICS AND CONTROL OF TECHNOLOGICAL PROCESSES. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 13(1), 33–37. https://doi.org/10.35784/iapgos.3371

SENSOR PLATFORM OF INDUSTRIAL TOMOGRAPHY FOR DIAGNOSTICS AND CONTROL OF TECHNOLOGICAL PROCESSES

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