Using expert evaluation for selecting an architectural solution for a specialized software system that monitors the state of potentially hazardous facilities

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.312886

Keywords:

Internet of Things, monitoring systems, expert assessment, architectural solutions, software

Abstract

The object of this study is the software and architectural solutions for specialized systems that monitor the state of potentially hazardous facilities (hereinafter, PHF). The problem solved was the choice of a successful option for an architectural solution and the specialized software composition of such systems. A change in the architectural solutions and the composition of the software for monitoring the state of PHF is necessary because such systems are usually designed on the basis of the principle of parametric control over the main parameters of PHF. Such monitoring systems record the achievement of the pre-critical (or critical) value of one (or several) parameters characterizing the state of the object. Therefore, operational personnel have little time to implement measures to prevent accidents.

The essence of the results is that, based on the use of expert evaluation, a methodology was devised for quantitative assessment of the architecture, the composition of specialized software and methods for monitoring the state of PHF. According to this methodology, one of the three possible alternative options for building an automated system for monitoring the state of PHF was chosen.

It was possible to solve the task to choose the architecture, methods, and composition of the software for a PHF state monitoring system owing to the implementation of expert evaluation, which enabled a shift from qualitative to quantitative evaluation.

The chosen option for building a system for monitoring the state of PHF is resistant to interference and allows for the detection of the threat of an emergency at the facility 1–3 hours earlier through the implementation of subsystems for forecasting changes in the state of PHF and diagnosing the state of the object. This ensures damage reduction and prevents injury to people

Author Biographies

Vladyslav Sokolovskyi, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

PhD Student, Assistant

Department of Computer Science and Software Engineering

Eduard Zharikov, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Doctor of Technical Sciences, Professor

Department of Computer Science and Software Engineering

Sergii Telenyk, Cracow University of Technology; National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Doctor of Technical Sciences, Professor

Department of Automation and Computer Science

References

  1. Internet of Things (iot). Available at: https://www.gartner.com/en/information-technology/glossary/internet-of-things
  2. Sokolovskyi, V. (2023). Architectural solution for the distribution of software and hardware systems for monitoring potentially unsafe objects. International Journal of GEOMATE, 25 (109). https://doi.org/10.21660/2023.109.m2314
  3. Sokolovskyi, V. V. (2022). Akhritektura prohramno-aparatnoi systemy monitorynhu stanu obiektiv pidvyshchenoi nebezpeky z mozhlyvistiu prohnozuvannia vynyknennia nadzvychainoi sytuatsii. Inzheneriya prohramnoho zabezpechennia i peredovi informatsiini tekhnolohii (SoftTech-2022): materialy II ta III Vseukrainskykh naukovo-praktychnykh konferentsii molodykh vchenykh ta studentiv, prysviachenykh 125-y richnytsi KPI im. Ihoria Sikorskoho. Kyiv: KPI im. Ihoria Sikorskoho, IPI FIOT, 64–68.
  4. Shannon, C. E. (1948). A Mathematical Theory of Communication. Bell System Technical Journal, 27 (3), 379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
  5. Hamming, R. W. (1950). Error Detecting and Error Correcting Codes. Bell System Technical Journal, 29 (2), 147–160. https://doi.org/10.1002/j.1538-7305.1950.tb00463.x
  6. Tolentino, L. K. S., Valenzuela, I. C., Serfa Juan, R. O. (2019). Overhead Interspersing of Redundancy Bits Reduction Algorithm by Enhanced Error Detection Correction Code. Journal of Engineering Science and Technology Review, 12 (2). Available at: http://www.jestr.org/downloads/Volume12Issue2/fulltext51222019.pdf
  7. Koppala, N., Subhas, C. (2022). Low overhead optimal parity codes. TELKOMNIKA (Telecommunication Computing Electronics and Control), 20 (3), 501. https://doi.org/10.12928/telkomnika.v20i3.23301
  8. Toghuj, W. (2020). Modifying Hamming code and using the replication method to protect memory against triple soft errors. TELKOMNIKA (Telecommunication Computing Electronics and Control), 18 (5), 2533. https://doi.org/10.12928/telkomnika.v18i5.13345
  9. Saiz-Adalid, L.-J., Gil, P., Ruiz, J.-C., Gracia-Moran, J., Gil-Tomas, D., Baraza-Calvo, J.-C. (2016). Ultrafast Error Correction Codes for Double Error Detection/Correction. 2016 12th European Dependable Computing Conference (EDCC), 108–119. https://doi.org/10.1109/edcc.2016.28
  10. Sokolovskyi, V., Zharikov, E., Telenyk, S. (2024). Development of the method of detecting and correcting data transmission errors in IoT systems for monitoring the state of objects. Eastern-European Journal of Enterprise Technologies, 1 (9 (127)), 22–33. https://doi.org/10.15587/1729-4061.2024.298476
  11. Ivanchuk, Y. V., Yarovyi, А. А., Koval, К. О. (2019). Numerical simulation method of hydrodynamic processes. Information Technology and Computer Engineering, 44 (1), 37–45. https://doi.org/10.31649/1999-9941-2019-44-1-37-45
  12. Pryshlyak, V. M., Dubchak, V. M. (2020). Finding the value of the pressure force on underwater hydraulic structures in design and construction practice and agro-engineering training of specialists. Technique, energy, transport of the agro-industrial complex: VNAU, 1 (108), 111–122. Available at: http://socrates.vsau.edu.ua/repository/card.php?lang=en&id=25634
  13. Sokolovskyi, V., Zharikov, E., Telenyk, S. (2024). Software and algorithmic support as part of regional systems for monitoring the state of objects for calculation of filtration through earthen hydraulic structures. Naukovij Žurnal «Tehnìka Ta Energetika», 15 (2), 130–144. https://doi.org/10.31548/machinery/2.2024.130
  14. Kupin, A., Kuznetsov, D., Muzyka, I., Paraniuk, D., Serdiuk, O., Suvorov, O., Dvornikov, V. (2018). The concept of a modular cyberphysical system for the early diagnosis of energy equipment. Eastern-European Journal of Enterprise Technologies, 4 (2 (94)), 71–79. https://doi.org/10.15587/1729-4061.2018.139644
  15. Hnatiienko, H., Tmienova, N., Kruglov, A. (2020). Methods for Determining the Group Ranking of Alternatives for Incomplete Expert Rankings. Mathematical Modeling and Simulation of Systems (MODS’2020), 217–226. https://doi.org/10.1007/978-3-030-58124-4_21
  16. Saaty, T. L. (2011). The Analytic Hierarchy Process. McGrow - Hill.
Using expert evaluation for selecting an architectural solution for a specialized software system that monitors the state of potentially hazardous facilities

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Published

2024-10-30

How to Cite

Sokolovskyi, V., Zharikov, E., & Telenyk, S. (2024). Using expert evaluation for selecting an architectural solution for a specialized software system that monitors the state of potentially hazardous facilities. Eastern-European Journal of Enterprise Technologies, 5(3 (131), 27–40. https://doi.org/10.15587/1729-4061.2024.312886

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Section

Control processes