VENTILATION CONTROL OF THE NEW SAFE CONFINEMENT OF THE CHORNOBYL NUCLEAR POWER PLANT BASED ON NEURO-FUZZY NETWORKS
The accident at the Chornobyl Nuclear Power Plant (ChNPP) in Ukraine in 1986 became one of the largest technological disasters in human history. During the accident cleanup, a special protective structure called the Shelter Object was built to isolate the destroyed reactor from the environment. How...
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| Format: | Article |
| Language: | English |
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Lublin University of Technology
2023-12-01
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| Series: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
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| Online Access: | https://ph.pollub.pl/index.php/iapgos/article/view/5375 |
| _version_ | 1827578265896747008 |
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| author | Petro Loboda Ivan Starovit Oleksii Shushura Yevhen Havrylko Maxim Saveliev Natalia Sachaniuk-Kavets’ka Oleksandr Neprytskyi Dina Oralbekova Dinara Mussayeva |
| author_facet | Petro Loboda Ivan Starovit Oleksii Shushura Yevhen Havrylko Maxim Saveliev Natalia Sachaniuk-Kavets’ka Oleksandr Neprytskyi Dina Oralbekova Dinara Mussayeva |
| author_sort | Petro Loboda |
| collection | DOAJ |
| description |
The accident at the Chornobyl Nuclear Power Plant (ChNPP) in Ukraine in 1986 became one of the largest technological disasters in human history. During the accident cleanup, a special protective structure called the Shelter Object was built to isolate the destroyed reactor from the environment. However, the planned operational lifespan of the Shelter Object was only 30 years. Therefore, with the assistance of the international community, a new protective structure called the New Safe Confinement (NSC) was constructed and put into operation in 2019. The NSC is a large and complex system that relies on a significant number of various tools and subsystems to function. Due to temperature fluctuations and the influence of wind, hydraulic processes occur within the NSC, which can lead to the release of radioactive aerosols into the environment. The personnel of the NSC prevents these leaks, including through ventilation management. Considering the long planned operational term of the NSC, the development and improvement of information technologies for its process automation is a relevant task. The purpose of this paper is to develop a method for managing the ventilation system of the NSC based on neuro-fuzzy networks. An investigation of the current state of ventilation control in the NSC has been conducted, and automation tools for the process have been proposed. Using an adaptive neuro-fuzzy inference system (ANFIS) and statistical data on the NSC's operation, neuro-fuzzy models have been formed, which allows to calculate the expenses of the ventilation system using the Takagi-Sugeno method. The verification of the proposed approaches on a test data sample demonstrated sufficiently high accuracy of the calculations, confirming the potential practical utility in decision-making regarding NSC’s ventilation management. The results of this paper can be useful in the development of digital twins of the NSC for process management and personnel training.
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| first_indexed | 2024-03-08T21:39:37Z |
| format | Article |
| id | doaj.art-ec62ca34186d49cf8b9fbb4a69d9538c |
| institution | Directory Open Access Journal |
| issn | 2083-0157 2391-6761 |
| language | English |
| last_indexed | 2024-03-08T21:39:37Z |
| publishDate | 2023-12-01 |
| publisher | Lublin University of Technology |
| record_format | Article |
| series | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| spelling | doaj.art-ec62ca34186d49cf8b9fbb4a69d9538c2023-12-20T14:08:38ZengLublin University of TechnologyInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska2083-01572391-67612023-12-0113410.35784/iapgos.5375VENTILATION CONTROL OF THE NEW SAFE CONFINEMENT OF THE CHORNOBYL NUCLEAR POWER PLANT BASED ON NEURO-FUZZY NETWORKSPetro Loboda0https://orcid.org/0000-0002-0808-8014Ivan Starovit1https://orcid.org/0000-0002-6511-4610Oleksii Shushura2https://orcid.org/0000-0003-3200-720XYevhen Havrylko3https://orcid.org/0000-0001-9437-3964Maxim Saveliev4https://orcid.org/0000-0002-2118-4748Natalia Sachaniuk-Kavets’ka5https://orcid.org/0000-0001-6405-1331Oleksandr Neprytskyi6https://orcid.org/0000-0001-9536-2538Dina Oralbekova7https://orcid.org/0000-0003-4975-6493Dinara Mussayeva8https://orcid.org/0000-0002-8349-213XNational Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Software Engineering in EnergyNational Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Software Engineering in EnergyNational Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Digital Technologies in EnergyNational Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Department of Software Engineering in EnergyInstitute for Safety Problems of Nuclear Power Plants National Academy of Sciences of UkraineVinnytsia National Technical UniversityVinnytsia Mykhailo Kotsiubynskyi State Pedagogical UniversitySatbayev UniversityAl Farabi Kazakh National University The accident at the Chornobyl Nuclear Power Plant (ChNPP) in Ukraine in 1986 became one of the largest technological disasters in human history. During the accident cleanup, a special protective structure called the Shelter Object was built to isolate the destroyed reactor from the environment. However, the planned operational lifespan of the Shelter Object was only 30 years. Therefore, with the assistance of the international community, a new protective structure called the New Safe Confinement (NSC) was constructed and put into operation in 2019. The NSC is a large and complex system that relies on a significant number of various tools and subsystems to function. Due to temperature fluctuations and the influence of wind, hydraulic processes occur within the NSC, which can lead to the release of radioactive aerosols into the environment. The personnel of the NSC prevents these leaks, including through ventilation management. Considering the long planned operational term of the NSC, the development and improvement of information technologies for its process automation is a relevant task. The purpose of this paper is to develop a method for managing the ventilation system of the NSC based on neuro-fuzzy networks. An investigation of the current state of ventilation control in the NSC has been conducted, and automation tools for the process have been proposed. Using an adaptive neuro-fuzzy inference system (ANFIS) and statistical data on the NSC's operation, neuro-fuzzy models have been formed, which allows to calculate the expenses of the ventilation system using the Takagi-Sugeno method. The verification of the proposed approaches on a test data sample demonstrated sufficiently high accuracy of the calculations, confirming the potential practical utility in decision-making regarding NSC’s ventilation management. The results of this paper can be useful in the development of digital twins of the NSC for process management and personnel training. https://ph.pollub.pl/index.php/iapgos/article/view/5375New Safe Confinementventilation managementneuro-fuzzy networkinformation technologyfuzzy logicdigital twin |
| spellingShingle | Petro Loboda Ivan Starovit Oleksii Shushura Yevhen Havrylko Maxim Saveliev Natalia Sachaniuk-Kavets’ka Oleksandr Neprytskyi Dina Oralbekova Dinara Mussayeva VENTILATION CONTROL OF THE NEW SAFE CONFINEMENT OF THE CHORNOBYL NUCLEAR POWER PLANT BASED ON NEURO-FUZZY NETWORKS Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska New Safe Confinement ventilation management neuro-fuzzy network information technology fuzzy logic digital twin |
| title | VENTILATION CONTROL OF THE NEW SAFE CONFINEMENT OF THE CHORNOBYL NUCLEAR POWER PLANT BASED ON NEURO-FUZZY NETWORKS |
| title_full | VENTILATION CONTROL OF THE NEW SAFE CONFINEMENT OF THE CHORNOBYL NUCLEAR POWER PLANT BASED ON NEURO-FUZZY NETWORKS |
| title_fullStr | VENTILATION CONTROL OF THE NEW SAFE CONFINEMENT OF THE CHORNOBYL NUCLEAR POWER PLANT BASED ON NEURO-FUZZY NETWORKS |
| title_full_unstemmed | VENTILATION CONTROL OF THE NEW SAFE CONFINEMENT OF THE CHORNOBYL NUCLEAR POWER PLANT BASED ON NEURO-FUZZY NETWORKS |
| title_short | VENTILATION CONTROL OF THE NEW SAFE CONFINEMENT OF THE CHORNOBYL NUCLEAR POWER PLANT BASED ON NEURO-FUZZY NETWORKS |
| title_sort | ventilation control of the new safe confinement of the chornobyl nuclear power plant based on neuro fuzzy networks |
| topic | New Safe Confinement ventilation management neuro-fuzzy network information technology fuzzy logic digital twin |
| url | https://ph.pollub.pl/index.php/iapgos/article/view/5375 |
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