Гібридна обчислювальна інтелектуальна система для оцінювання стабільності системи розподілу води та визначення оптимального розташування датчиків тиску
This study introduces a method for determining the best locations for pressure sensors in water supply networks and for assessing network conditions using artificial intelligence techniques. The goal is to identify the network nodes that would provide the most important information for detecting wat...
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| Дата: | 2026 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | Англійська |
| Опубліковано: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2026
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| Теми: | |
| Онлайн доступ: | https://journal.iasa.kpi.ua/article/view/365260 |
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| Назва журналу: | System research and information technologies |
| Завантажити файл: |  |
Репозитарії
System research and information technologies| Резюме: | This study introduces a method for determining the best locations for pressure sensors in water supply networks and for assessing network conditions using artificial intelligence techniques. The goal is to identify the network nodes that would provide the most important information for detecting water leaks and evaluating the overall network status. The selection of sensor locations was based on data sets of pressure changes caused by various leak scenarios generated by EPANET simulations. Genetic algorithms were used to rank candidate nodes and determine the optimal number of sensor locations. The next step involved assessing the network state using the ANFIS neuro-fuzzy network and the Mamdani neuro-fuzzy logical inference algorithm. These algorithms were implemented in the Google Colab environment and tested on a section of the water supply network in Kyiv, Ukraine. |
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| DOI: | 10.20535/SRIT.2308-8893.2026.2.06 |