Scientific and technical journal

«Automation and Informatization of the fuel and energy complex»

ISSN 0132-2222

Automation and Informatization of the fuel and energy complex
Clarification of the option of hydroacoustic monitoring system aggregation of the marine water area near protected fuel and energy facilities

UDC: 681.883
DOI: 10.33285/2782-604X-2023-8(601)-23-30

Authors:

STOROZHOK EVGENY A.1,
ISTOMIN EVGENY P.2

1 Military Academy of Military Air Defense of The Armed Forces of the Russian Federation named after A.M. Vasilevsky, Marshal of the Soviet Union, Smolensk, Russia
2 Russian State Hydrometeorological University, St. Petersburg, Russia

Keywords: aggregation, hydro-acoustic system, information losses, state of the environment, purpose of aggregation, tuple, selection procedures, fuzzy relations

Annotation:

The threat of sabotage at offshore fuel and energy facilities has recently increased. Due to this fact, the creation of new and improvement of existing hydro-acoustic monitoring systems has become an urgent task. The formation of the hydro-acoustic system appearance and a part of the subsystem for collecting and processing information is traditionally a process of selecting standard procedures that ensure the construction of a system with the required parameters. However, the methodology of using standard design solutions and procedures allows assembling individual components of the system, but not the system itself. The system is formed as a result of the purposeful implementation of the system relations between components, that is, as a result of the purposeful organization of their functioning, interaction, or more precisely, the organization of procedures for information collecting and processing. Currently, there are no fully sufficient standard design solutions and procedures, techniques that allow for the systematic organization of information collection and processing. The creation of such procedures is to a certain extent the lot of the developer or operator of the system construction and is substantially based on his experience and intuition. In this regard, the organization of the collection and processing of information about the underwater environment is of the greatest interest from the point of view of the subject of research.

Bibliography:

1. Agregirovanie radiolokatsionnykh sistem i informatsii o vozdushno-kosmicheskoy obstanovke: monogr. / O.Yu. Aksenov, A.Ya. Koban, D.I. Mel'nik [i dr.]. – M.: Znanie, 2018. – 223 s.
2. Starodubtsev P.A., Storozhok E.A., Alifanov R.N. Agregirovanie sistemy gidroakusticheskogo monitoringa // Zhurn. Sibirskogo feder. un-ta. Ser.: Tekhnika i tekhnologii. – 2020. – T. 13, № 2. – S. 206–212. – DOI: 10.17516/1999-494X-0217
3. Ivlev A.A. Osnovy teorii Boyda. Napravleniya razvitiya, primeneniya i realizatsii: monogr. – M., 2008. – 64 s. – URL: http://pentagonus.ru/_ld/0/23_KES.pdf
4. Perspektivnyy podkhod k organizatsii programmnykh kompleksov / I.B. Bresler, S.A. Semenov, V.V. Kornienko, V.V. Borisov // Radiopromyshlennost'. – 2009. – № 1. – S. 72–88.
5. Virtualizatsiya i masshtabirovanie kak bazovye printsipy sovremennykh setevykh tekhnologiy / I.B. Bresler, S.A. Semenov, V.V. Kornienko [i dr.] // Voprosy radioelektroniki. – 2010. – T. 3, № 1. – S. 67–76.
6. Koban A.Ya., Grigorenko V.M., Semenov S.A. Metodika organizatsii vychislitel'nykh protsessov podsistemy obrabotki informatsii o vozdushnoy obstanovke pri postroenii sistemy RL razvedki // Sb. trudov NITs RKO. – M.: NITs RKO, 2013. – Ch. 1. – S. 205–212.
7. Kotenko I.V., Stankevich L.A. Komandnaya rabota agentov v usloviyakh vremennykh ogranicheniy // Iskusstvennyy intellekt. – 2002. – № 4. – S. 560–567.
8. Otsenivanie i klassifikatsiya parametrov ob"ektov v usloviyakh neopredelennosti / A.N. Katulev, V.Z. Bogdanchuk, P.O. Videnieks [i dr.]. – Riga: Zinante, 1987. – 265 s.
9. Repin V.G., Tartakovskiy G.P. Statisticheskiy sintez pri apriornoy neopredelennosti i adaptatsiya informatsionnykh sistem. – M.: Sovetskoe radio, 1977. – 432 s.
10. Guanrong Chen, Trung Tat Pham. Introduction to Fuzzy Sets, Fuzzy Logic and Fuzzy Control. – CRC Press LLC, 2001. – 329 p. – URL: https://engineering.futureuniversity.com/BOOKS%20FOR%20IT/CHEN-PHAM-Introduction-to-Fuzzy-sets-Fuzzy-logic-and-Fuzzy-control-systems-Page-160.pdf
11. Ávila-Muñoz A.M., Sánchez-Sáez J.M. Fuzzy sets and Prototype Theory: Representational model of cognitive community structures based on lexical availability trials // Review of Cognitive Linguistics. – 2014. – Vol 12, Issue 1. – P. 133–159. – DOI: 10.1075/rcl.12.1.05avi
12. Druzhinin V.V., Kontorov D.S. Problemy sistemologii (problemy teorii slozhnykh sistem) / s predisl. akad. V.M. Glushkova. – M.: Sovetskoe radio, 1976. – 296 s.
13. Sovetskaya voennaya entsiklopediya. – M.: Voenizdat MO SSSR, 1980.
14. Nikolaev V.I., Bruk V.M. Sistemotekhnika: metody i prilozheniya. – L.: Mashinostroenie, 1985. – 199 s.
15. Printsipy postroeniya formalizovannykh metodov teorii prinyatiya resheniy / G.I. Andreev, V.V. Barvinenko, S.N. Ostapenko [i dr.]. – Tver': VU PVO, 2001.