Published October 30, 2020 | Version v1
Journal article Open

DEVELOPMENT OF METHODS FOR ASSESSMENT AND SELECTION OF UNMANNED AERIAL VEHICLE FOR MINE RECONNAISSANCE

Creators

  • 1. National Academy of the State Border Guard Service of Ukraine named after Bohdan Khmelnytskyi

Description

Object of research: comparative assessment and selection of an unmanned aerial vehicle for mine reconnaissance sample.

Investigated problem: substantiation of the methodological apparatus for comparative assessment and selection of an unmanned aerial vehicle for mine reconnaissance sample, taking into consideration the presence of both quantitative and qualitative indicators.

Main scientific results: the methods of comparative assessment and selection of an unmanned aerial vehicle for mine reconnaissance sample is developed. The technique is based on an expert method, which allows a drone sample to be evaluated and selected objectively, taking into consideration the presence of both quantitative and qualitative indicators. At the same time, group interaction and discussion of experts are realized. When the judgments do not coincide, an artificial consensus is not imposed. The number of experts is not limited. The experts are not linked in any way. The need to ensure transitive consistency (10–12 %) makes it possible to record attempts by an expert (experts) to artificially overestimate the indicators of one of the drone samples (or the one being evaluated), therefore, the indicators of another sample will automatically deteriorate. The principle of impartiality and fairness is maintained. A well-trained objective coordinator is not required, and the reality is that the absence of the disrupting the problem solution possibility is due to a change in the psychological situation among the experts.

Area of practical use of research results: humanitarian demining in the interests of ensuring the detection of mines for various purposes by sappers from a safe distance. At the same time, an increase within the probability of mines detecting is ensured due to special equipment installed onboard the drone.

Innovative technological product: a technique has been developed that allows not only assessing the drone samples for mine reconnaissance objectively, but making an objective choice of a sample for specific requirements also.

Scope of application of the innovative technological product: clearance of the terrain remaining after the end of hostilities. With the help of unmanned aerial vehicles, a significant acceleration of the demining process is possible, especially in those territories where mines are installed and being for a sufficiently long time.

Files

DEVELOPMENT OF METHODS FOR ASSESSMENT AND SELECTION OF UNMANNED AERIAL VEHICLE FOR MINE RECONNAISSANCE.pdf

Files (730.4 kB)

Additional details

References

  • Mosov, S. P., Kolesnikov, V. O. (2016). Vymohy do vyboru bezpilotnykh aviatsiinykh kompleksiv dlia vykonannia zavdan rozvidky ta sposterezhennia. Zbirnyk naukovykh prats Tsentru voienno-stratehichnykh doslidzhen Natsionalnoho universytetu oborony Ukrainy imeni Ivana Cherniakhovskoho, 1 (56), 24–28.
  • Mitrakhovich, M. M., Silkov, V. I., Samkov, A. V., Burshtynskaia, Kh. V. et. al.; Silkov, V. I. (Ed.) (2012). Bespilotnye aviatsionnye kompleksy: metodika sravnitelnoi otsenki boevykh vozmozhnostei. Kyiv: TSNII VVT VS Ukrainy, 288.
  • Mosov, S. P., Pohoretskyi, M. V., Salii, S. M., Sieliukov, O. V., Feshchenko, A. L.; Mosov, S. P. (Ed.) (2019). Bezpilotna aviatsiia u viiskovii spravi. Kyiv: Interservis, 324.
  • Kyrylenko, V., Artiushyn, L., Steshenko, P. (2018). Matematychnyi aparat bahatokryterialnoho vyboru rozviduvalnykh bezpilotnykh aviatsiinykh kompleksiv. Zbirnyk naukovykh prats Natsionalnoi akademii Derzhavnoi prykordonnoi Ukrainy. Seriia: viiskovi ta tekhnichni nauky, 1 (75), 115–133.
  • Ananin, O. (2016). Taktyko-tekhnichni vymohy do bezpilotnykh aviatsiinykh kompleksiv ta yikh zavdannia v systemi okhorony derzhavnoho kordonu. Zbirnyk naukovykh prats Natsionalnoi akademii Derzhavnoi prykordonnoi Ukrainy. Seriia: viiskovi ta tekhnichni nauky, 2 (68), 181–194.
  • Iliushko, V. M., Mitrakhovich, M. M., Samkov, A. V., Silkov, V. I. et. al. Silkov, V. I. (Ed.) (2009). Bespilotnye letatelnye apparaty: metodiki priblizhennykh raschetov osnovnykh parametrov i kharakteristik. Kyiv: TSNII VVT VS Ukrainy, 302.
  • Neroba, V. R. (2019). Systematyzatsiia umov i faktoriv, shcho vplyvatymut na vydovi tekhnichni zasoby rozvidky min bezpilotnoho litalnoho aparatu. Zbirnyk naukovykh prats Viiskovoi akademii, 2 (12 (1)), 48–54.
  • Dogerti, M. (2017). Drony: pervii illiustrirovannii putevoditel po BPLA. Moscow: Izd-vo «E», 224.
  • Pill, J. (1971). The Delphi method: Substance, context, a critique and an annotated bibliography. Socio-Economic Planning Sciences, 5 (1), 57–71. doi: http://doi.org/10.1016/0038-0121(71)90041-3
  • Mitroff, I. I., Sagasti, F. (1973). Epistemology as General Systems Theory: An Approach to the Design of Complex Decision-Making Experiments. Philosophy of the Social Sciences, 3 (2), 117–134. doi: http://doi.org/10.1177/004839317300300202
  • Saati, T. (1993). Priniatie reshenii: metod analiza ierarkhii. Moscow: Radio i sviaz, 320.
  • Schedrovitskii, G. P. (1995). Izbrannye trudy. Moscow: Shk. Kult. Polit., 800.
  • Metod analiza ierarkhii onlain. Available at: https://axd.semestr.ru/upr/hierarchies.php Last accessed: 20.09.2019
  • Zahorka, O. M., Mosov, S. P., Sbitniev, A. I., Stuzhuk, P. I. (2005). Elementy doslidzhennia skladnykh system viiskovoho pryznachennia. Kyiv: NAOU, 100.