The Method of Time Distribution for Environment Monitoring Using Unmanned Aerial Vehicles According to an Inverse Priority

• Autorzy: Wójcik Waldemar , Kalizhanova Aliya , Kulyk Yaroslav A. , Knysh Bohdan P. , Kvyetnyy Roman N. , Kulyk Anatoliy I. , Sichko Tetiana V. , Dumenko Viktoria P. , Bezstmertna Oksana V. , Adikhanova Saltanat , Zhassandykyzy Maral , Junisbekov Mukhtar , Smailov Nurzhigit , Yussupova Gulbahar

Identyfikatory

DOI

10.12911/22998993/153458

• Języki publikacji: EN

Abstrakty

EN

This paper presents a time-saving method for monitoring the ecology of a dispersed territory using the delivery of measurement units provided by unmanned aerial vehicles with measurement sensors according to a reverse priority algorithm. It is achievable because of the decreasing mean waiting time of the order inside a queue during low-priority order servicing. The experimental research that confirms the efficiency of the proposed method in the case of delivery distributed measurement systems for low-priority measurement is carried out. The experimental research of the proposed method in the case of one-channel and many-channel SMD that can have an option of order rejection or an in-queue waiting option is conducted in WeBots. The probability distributions in the case of this system applying are compared with similar probability distributions in the case of systems of direct priority applying. Comparison and analysis enable us to conclude that the probability distribution in the case of SMD with a direct priority of delivery tends to decrease and approximates zero. This is related to the fact that means at the end of the queue to be handled have a lower priority, as these means of measurement take longer to handle the order than those at the head of the queue. Thus, the means of a low priority will be serviced in the last charge and there is a constant possibility that in some cases such orders will be rejected. The proposed method enables moderate this situation by using increasing the possibility of servicing the low-priority orders. The method can increase the efficiency of environmental monitoring and pollution emission control.

Słowa kluczowe

EN

UAV; unmanned aerial vehicle; distributed measurement; system of mass service; environment monitoring; pollution monitoring

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2022
• Tom: Vol. 23, nr 11
• Strony: 179--187
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Wójcik Waldemar

• Lublin University of Technology, ul. Nadbystrzycka 38a, 20-618, Lublin, Poland

• https://orcid.org/0000-0002-0843-8053

autor

Kalizhanova Aliya

• Institute Information and Computational Technologies CS MES RK, Pushkin St 125, 050000, Almaty, Kazakhstan

• https://orcid.org/0000-0002-5979-9756

autor

Kulyk Yaroslav A.

• Vinnytsya National Technical University, 95, Khmelnytsky Hwy, 21021, Vinnytsya, Ukraine

autor

Knysh Bohdan P.

• Vinnytsya National Technical University, 95, Khmelnytsky Hwy, 21021, Vinnytsya, Ukraine

• https://orcid.org/0000-0002-6779-4349

autor

Kvyetnyy Roman N.

• Vinnytsya National Technical University, 95, Khmelnytsky Hwy, 21021, Vinnytsya, Ukraine

• https://orcid.org/0000-0002-9192-9258

autor

Kulyk Anatoliy I.

• Vinnytsya National Medical University, 56, Pirogova St, 21018, Vinnytsya, Ukraine

• https://orcid.org/0000-0003-2472-1665

autor

Sichko Tetiana V.

• Vasyl' Stus Donetsk National University, 21, 600-Richchya St, 21000, Vinnytsia, Ukraine

• https://orcid.org/0000-0003-1766-4981

autor

Dumenko Viktoria P.

• Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Ostroz'koho St, 32, 21000, Vinnytsia, Ukraine

• https://orcid.org/0000-0002-1569-3677

autor

Bezstmertna Oksana V.

• Vinnytsya National Technical University, 95, Khmelnytsky Hwy, 21021, Vinnytsya, Ukraine

• https://orcid.org/0000-0002-4142-9925

autor

Adikhanova Saltanat

• East Kazakhstan State University, 30-Y Gvardeyskoy Divizii, 070000 Ust'-Kamenogorsk, Kazakhstan

• https://orcid.org/0000-0003-0085-8384

autor

Zhassandykyzy Maral

• Turan University, Satpaev Street 16А, Almaty 050013, Kazachstan

autor

Junisbekov Mukhtar

• M.Kh. Dulaty Taraz Regional University, Tole Bi St, 40, Taraz, Kazachstan

autor

Smailov Nurzhigit

• Satbayev University, Satpaev Street 22, 050000, Almaty, Kazachstan

autor

Yussupova Gulbahar

• Satbayev University, Satpaev Street 22, 050000, Almaty, Kazachstan

Bibliografia

• 1. Bekon D., Kharrys H. 2004. Operation systems. Parallel and distributed systems. Pyter, Sankt Petersburg. (in Russian)
• 2. Blackstock K.L., et al. 2017. Monitoring and Evaluation for Ecosystem Management (MEEM)-Comparing theory and documented practice across Europe. Technical Report, James Hutton Institute, 96. https://www.researchgate.net/publication/330450321_Monitoring_and_Evaluation_for_Ecosystem_Management_MEEM-Comparing_theory_and_documented_practice_across_Europe
• 3. Dogan A. 2003. Probabilistic approach in path planning for UAVs. Intelligent Control. 2003 IEEE International Symposium, 608–613.
• 4. Knysh B.P., Kulyk Y.A., Baraban M.V. 2018a. Classification of unmanned aerial vehicles and their use for goods delivery. Herald of Khmelnytskyy National University, 3, 246–252. (in Ukrainian)
• 5. Knysh B.P., Kulyk Y.A., Lisovenko А.І. 2018b. Metod rozpodilu chasu na dostavku tovariv za do- pomohoiu bezpilotnykh litalnykh aparativ zhidno priorytetu. Herald of Khmelnytskyy national university, 6, 232–240. (in Ukrainian) http://nbuv.gov.ua/UJRN/Vchnu_tekh_2018_3_42
• 6. Romanyuk O.N., Pavlov S.V., Melnyk O.V., Romanyuk S.O., Smolarz A., Bazarova M. 2015. Method of anti-aliasing with the use of the new pixel model, Proc. SPIE 9816, 981617. DOI: 10.1117/12.2229013
• 7. Viunenko O.B., Voronets L.P. 2008. Research of operations. System of mass service. SNAU, Sumy. (in Ukrainian)
• 8. Yang X., Koziel S., Leifsson L. 2014. Computational optimization, modelling and simulation: Past, present and future. Procedia Computer Science, 29, 754–758.
• 9. Zhu X., Liu Z., Yang J. 2015. Model of Collaborative UAV Swarm Toward Coordination and Control Mechanisms Study. Procedia Computer Science, 51, 493–502.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).