Formation of Unmanned Aerial Vehicle Link Configuration in the Problem of Cargo Transportation Scenario Selection Using Geospatial Data

Ключевые слова: Unmanned aеrial vehicles, cargo transportation, geospatial data, scenario problem, optimization.

Аннотация

Nowadays, technologies capable of coping effectively with the assigned problems by automating the processes being carried out are actively developing. Among them, unmanned aerial vehicles (UAVs) deserve special attention, because they can handle almost any mission with a high level of data processing. However, as UAVs have evolved, so have society's needs, and UAV application scenarios have become increasingly complex. Problems are being solved with geodigital data: the different locations of both the UAVs themselves and the objects they interact with are taken into account. On the one hand, some of these problems require simultaneous control of a heterogeneous group of UAVs, but, on the other hand, there are also problems where the use of UAVs for a mission must be carried out in the form of links. A UAV link is a set of UAVs with common characteristics that perform one part of the mission. It becomes relevant to use UAV links and conduct geodigital-based simulations that allow both observation of mission conduct and analysis and achieve optimal drone control. This paper considers an algorithm capable of selecting UAVs with a certain set of technical and operational characteristics for a given route, taking into account the characteristics of the transported cargo, weather conditions, and threat distribution, as well as evaluating the effectiveness of the mission according to the optimization criterion. The study describes and groups the data required for the mathematical statement of the problem, and discusses the basic steps of the algorithm, which is part of the proposed algorithm. In addition, the paper considers the software package, which uses the proposed algorithm as the basis of its work. Based on the results of the experiments, the conclusion about the feasibility of using the proposed algorithmic software in the implementation of applied tools as an effective way to support decision-making when performing a scenario problem is made.

Литература

Ban T, Duong P, Son N, Dinh T (2020) Covid-19 Disease Simulation using GAMA platform. 2020 International Conference on Computational Intelligence (ICCI), pp. 246-251
Eremchenko EN, Tikunov VS, Nikonov OA, Moroz VA, Massel LV, Zakharova AA, Dmitrieva VT, Panin AN (2017) Digital Earth and Digital Economy. – Geocontext, vol. 5, № 1 (5), pp. 40-54
Gadzhieva SA, Kurbanov SK (2019) Unmanned aerial vehicles application and prospects for their development. Computer technology and modeling in science, technology, economics, education and management: trends and development, pp. 140-142
Ishbulatov MG, Galeev EI (2018) Experience of UAV application when creating master plans of settlements. Land Management, Real Estate Cadastre and Land Resources Monitoring, pp. 91-94
Ivanova MA, Nikonov VV, Tsareva AA (2014) Ways to organize control of unmanned aerial vehicles. - Actual problems of humanities and natural sciences, № 11-1, pp. 56-63
Kartenichev AYu, Panfilova EV (2019) Unmanned aerial vehicles - new technologies of fire suppression. Actual problems of fire safety and protection from emergencies, pp. 768-775
Korte B, Figen J (2015) Combinatorial optimization. Theory and algorithms: textbook for universities. Moscow: ICNMO, p. 720
Meshcheryakov RV, Salomatin AA, Senchuk DV, Shirokov AS (2020) Scenario of Search, Detection and Extinguishing of Fire in Forestry. - Modeling, Optimization and Information Technologies, vol. 8, № 4, pp. 1-10
Meshcheryakov RV, Salomatin AA, Senchuk DV (2021a) Numerical algorithm for calculating the movement of a group of robots during transport missions. - Proceedings of Altai State University, №1(117), pp. 112-115
Meshcheryakov RV, Salomatin AA, Senchuk DV, Shirokov AS (2021b). Scenario of Search, Detection, and Control of Invasive Plant Species Using Unmanned Aircraft Systems. Agriculture Digitalization and Organic Production, St. Petersburg, Russia: Springer Singapore, pp. 259-270
Neto JM, Da Paixao RA, Rodrigues LRL, Moreira EM, Dos Santos JCJ, Rosa PFF (2012) A surveillance task for a UAV in a natural disaster scenario. IEEE International Symposium on Industrial Electronics. pp. 1516-1522
Pashkov NN (2020) Transport logistics (linear programming): training manual. Moscow: Prometheus, p. 202
Taillandier P, Gaudou B, Grignard A, Huynh Q.-N, Marilleau N, Caillou P, Philippon D, Drogoul A (2019a) Building, composing and experimenting complex spatial models with the GAMA platform. – Geoinformatics, N 23 (2), pp. 299-322
Taillandier P, Grignard A, Marilleau N, Philippon D, Huynh Q.-N, Gaudou B, Drogoul A (2019b) Participatory Modeling and Simulation with the GAMA platform. - Journal of Artificial Societies and Social Simulation, N 22(2), pp. 1-19
Yang NK, San KT, Chang YS (2016) A Novel Approach for Real Time Monitoring System to Manage UAV Delivery. 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 1054-1057
Zak J (1999) The Methodology of Multiple-Criteria Decision Making in the Optimization of an Urban Transportation System: Case Study of Poznan City in Poland. - International Transactions in Operational Research, vol. 6, N 6, pp. 571-590
Zakharov GK, Zemenkova MY (2018) Prospects of UAV application in complex systems of pipeline transport safety. International scientific and technical conference of master students named after Professor N.A. Malyushin, pp. 137-140
Zakharova AA, Podvesovskii AG (2018) Technology of analysis of weakly formalized data of multisensor systems using methods of distributed expertise. International Scientific Conference on Physics and Technology Informatics CPT2018, M.-Protvino: IFTI Publishing House, pp. 221-229
Zubkov BV, Sharov VD (2010) Theory and practice of risk determination in aviation enterprises in the development of flight safety management. Moscow: MSTU, p. 196
Zvonarev VV (2009) The role and place of automated control systems for drones. - I-METHODS, № 1, pp. 28-30
Опубликован
2021-12-27
Как цитировать
Salomatin, Alexander, Aleksandr Podvesovskii, и Andrey Smolin. 2021. Formation of Unmanned Aerial Vehicle Link Configuration in the Problem of Cargo Transportation Scenario Selection Using Geospatial Data. Геоконтекст 9 (1), 5-16. https://www.geo-context.org/index.php/geocontext/article/view/58.
Раздел
Статьи

Наиболее читаемые статьи этого автора (авторов)

Особенность: этот модуль требует, что бы был включен хотя бы один модуль статистики/отчетов. Если ваши модули статистики возвращают больше одной метрики, то пожалуйста также выберите главную метрику на странице настроек сайта администратором и/или на страницах настройки управляющего журналом.