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SOFTWARE OPTIMIZATION TECHNOLOGY OF AIRCRAFT COMPOSITION IN OPERATIONAL PLANNING IN THE AEROSPACE SEARCH AND RESCUE SYSTEM

https://doi.org/10.26467/2079-0619-2018-21-4-17-28

Abstract

The article considers the software of optimization technology allowing to enhance the work of the aerospace search and rescue system in terms of making decisions on the use of aircraft. Due to the fact that at the moment the scientifically based principles of making operational decisions for optimal distribution and attraction of aircraft to search and rescue are not completely developed, especially with the use of automated processes, such decisions are made on the basis of the personal experience of the head of search and rescue (HSR). The article provides an analysis of domestic developments in the field of information and technical support for search and rescue (SAR), an algorithm for decision-making based on factors influencing the choice of search and rescue forces and assets. Software implemented on the visual programming tool Visual Basic for Applications is presented; it provides the mathematical model of the aircraft optimization for: the minimum expenditure of funds based on the theory of linear programming, the minimum examination time of given area and the probability of failure-free operation with a forecast of meteorological conditions for three days. The results of calculations are presented in the form of recommendations with graph-analytic explanations for each block of optimization to reflect the full "picture" of the forecasted search and rescue operation (SAR). The realized integrated approach in the software is able to provide unified recommendations for the RPFS not only during operational planning, but also in the organization of transport tasks, monitoring and delivery of humanitarian cargo. This allows the governing bodies to give the best recommendations (on the basis of the "efficiency-quality-economical efficiency" principle) and, if necessary, to formulate scientifically based offers on the use of forces and assets in the aerospace search and rescue system

About the Authors

A. V. Sobolev
Yakutsk Search and Rescue Team EMERCOM of Russia.
Russian Federation

Aleksei V. Sobolev, Class 3 Rescuer of Yakutsk Search and Rescue Team EMERCOM of Russia.

Yakutsk.



V. A. Popov
Ulyanovsk Civil Aviation Institute.
Russian Federation

Vladimir A. Popov, Candidate of Technical Sciences, Associate Professor of the Search and Rescue Support of Flight and Technosphere Security Chair, Ulyanovsk Civil Aviation Institute.

Ulyanovsk.



References

1. Aralov, G.D. (2012). Analiz problem obespechenija bezopasnosti poletov v mire [Analysis of problems of ensuring safety in the world]. Problemy bezopasnosti poletov, no. 5, pp. 66–73. (in Russian)

2. Kofman, V.D. (2012). Sostojanie bezopasnosti poletov v Rossii i stranah SNG [Flight Safety Status in Russia and CIS Countries]. Avtotransport Complex Safety. Thesis. doc. 5-th International Conference February 20, 2012. Moscow, 11 p. (in Russian)

3. Popov, V.A. (2012). Tyazhest' aviaproisshestvii zavisit ot spasatelei [The rate of air incidents depends on rescuers]. Aviapanorama, no. 92, pp. 14–19. (in Russian)

4. Jedcous, M. and Stehnsfild, R. (1997). Metody prinjatija reshenija [Methods of decision making]. Moscow: Audit, 34 p. (in Russian)

5. Kini, R. and Rajfa, H. (1981). Prinjatie reshenij pri mnogih kriterijah: predpochtenija i zameshhenija [Making decisions under many criteria: preferences and substitutions]. Transl. with English. Moscow: Radio and communication. (in Russian)

6. Podinovskij, V.V. (1981). Matematicheskaja teorija vyrabotki reshenij v slozhnyh situacijah. Uchebnik [Mathematical theory of solution development in complex situations: a textbook]. Moscow: MO USSR, pp. 171–174. (in Russian)

7. Larichev, O.I. (2002). Teorija i metody prinjatija reshenij. Uchebnik [Theory and methods of decision-making: a textbook]. Moscow: Logos, 392 p. (in Russian)

8. Orlov, A.I. (2005). Prinjatie reshenij. Teorija i metody razrabotki upravlencheskih reshenij. Uchebnoe posobie [Decision-making. Theory and methods of developing managerial decisions: a textbook]. Moscow: Exam, 656 p. (in Russian)

9. Sobolev, A.V., Popov, V.A. and Seleznev, A.V. (2016). Osnovy metodiki optimizacii kolichestvennogo i kachestvennogo sostava poiskovo-spasatel'nyh vozdushnyh sudov v sisteme aviacionno-kosmicheskogo poiska i spasanija [Fundamentals of the methodology for optimizing the quantitative and qualitative composition of search and rescue aircraft in the aerospace search and rescue system]. Bulletin of the Irkutsk State Technical University, vol. 20, no. 10, pp. 184–190. DOI: 10.21285/1814–3520–2016–10–184–190. (in Russian)

10. Sobolev, A.V., Popov, V.A. and Seleznev, A.V. (2016). Metod opredelenija pokazatelja bezotkaznosti provedenija poiskovo-spasatel'nyh operacij s pomoshh'ju vozdushnyh sudov po meteorologicheskim uslovijam [The method of determining of the index of infallibility for carrying out search and rescue operations through of aircrafts according to meteorological conditions]. Bulletin of the Irkutsk State Technical University, vol. 20, no. 11, pp. 201–206. DOI: 10.21285/1814–3520–2016–11–201–206. (in Russian)

11. Sobolev, A.V., Popov, V.A. and Seleznev, A.V. (2017). Metod opredelenija sostava vozdushnyh sudov pri minimal'nom vremeni obsledovanija zadannoj ploshhadi [The method of determination of the aircraft composition with a minimum survey time of a given area]. Bulletin of the Irkutsk State Technical University, vol. 21, no. 7, pp. 171–177. DOI: 10.21285/1814–3520–2017–7–171–177. (in Russian)


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For citations:


Sobolev A.V., Popov V.A. SOFTWARE OPTIMIZATION TECHNOLOGY OF AIRCRAFT COMPOSITION IN OPERATIONAL PLANNING IN THE AEROSPACE SEARCH AND RESCUE SYSTEM. Civil Aviation High Technologies. 2018;21(4):17-28. (In Russ.) https://doi.org/10.26467/2079-0619-2018-21-4-17-28

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ISSN 2079-0619 (Print)
ISSN 2542-0119 (Online)