Registration Number
0225U002667,
(0124U003250)
, R & D reports
Title
Methods, tools, and technologies for modeling, developing, deploying, and ensuring the dependability of mobile intelligent systems for critical infrastructure facilities
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Аналіз стану досліджень та практичного використання методів та технологій моделювання, розроблення та забезпечення гарантоздатності мобільних інтелектуальних систем для об’єктів критичної інфраструктури
Head
Kharchenko Vyacheslav S., Доктор технічних наук
Registration Date
26-03-2025
Organization
National Aerospace University "Kharkiv Aviation Institute"
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To analyze, develop, and explore methods, tools, and technologies for modeling, developing, and deploying mobile intelligent systems for critical infrastructure facilities to improve their reliability, cybersecurity, and functional safety and ensure requirements for dependability
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The purpose of the stage is to analyze the state of research and practical use of methods and technologies for modeling, developing, and ensuring the dependability of mobile intelligent systems for critical infrastructure facilities. An integrated method for planning, placing, and increasing the reliability of a flying LiFi network has been developed to ensure data transmission in conditions of destruction, which: takes into account the structural and spatial parameters of obstacles and is based on a combination of routing algorithms using various bypass strategies, which allows minimizing the length of routes and/or the number of required unmanned aerial vehicles (UAVs); provides for the formation and selection of optimal flight routes to specific points in space, taking into account various options for UAV basing, which reduces the time and cost of network deployment; provides for increasing the reliability of the network by developing a model and algorithms for proactive UAV replacement, taking into account the requirements for the probability of failure-free operation of the network, failure-free performance and autonomy of individual UAVs, which guarantees continuous operation of the network for a given time. Methods for creating mobile logistics and monitoring systems based on UAV swarms and ground robotics have been improved, taking into account the integration of cloud technologies, adaptive algorithms for route planning and task distribution, the peculiarities of the influence of external factors, and dynamic environmental changes. This ensures increased efficiency and reliability of systems, allows for optimizing resource use, reduces the risk of unforeseen situations, and contributes to the creation of comprehensive models for assessing mission reliability.
Product Description
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Illiashenko Oleh O.
Babeshko Yevhen V.
Vdovichenko Oleksandr O.
Veprytska Olena Yu.
Zheltukhin Oleksandr V.
Zemlianko Heorhii A.
Kliushnikov Ihor M.
Kolisnyk Maryna O.
Kulanov Vitalii O.
Leichenko Kyrylo M.
Mishchuk Vadym V.
Morozova Olha I.
Nikitina Tetiana S.
Oliinyk Oleh K.
Orehov Oleksandr O.
Pievniev Volodymyr Ya.
Piskachov Oleksandr I.
Perepelytsyn Artem Ye.
Serediuk Artem O.
Skorobohatko Stanislav V.
Tetskyi Artem H.
Uzun Dmytro D.
Fesenko Herman V.
Shostak Anatolii V.
Shchehlov Vladyslav R.
Yudin Oles V.
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2026-06-23