SUBSTANTIATION AND DEVELOPMENT OF AN INTELLECTUAL DECISION SUPPORT SYSTEM IN THE TASKS OF ENSURING FIRE SAFETY OF NAVY SHIPS
Abstract
Information about fire-hazardous situations circulating in the circuits of the control
and control systems of the Navy ship and the level of artificial intelligence technologies is quite
enough to develop a scientific and methodological apparatus for detecting fire-hazardous situations
in ship premises, determining the location of their occurrence and fire factors, predicting the development
of a fire-hazardous situation and developing a set of technological solutions using artificial
intelligence to obtain sound recommendations on localization and extinguishing fires on Navy ships.
This will significantly reduce the time for detecting sources of ignition, provide reliable information
about the fire-hazardous situation, predict the development of a fire in the ship's premises and
promptly organize the fight against a ship's fire before the occurrence of critical fire-hazardous factors
and damage to the ship, the health and life of personnel. Artificial intelligence technologies are
an effective means of solving complex poorly formalized tasks. This class traditionally includes the
tasks of classification, clustering, approximation of multidimensional maps, time series forecasting,
nonlinear filtering, and management of complex technological objects. The analysis of the fire hazard
of technological processes, the operation of ship systems and technical means has shown that one of
the most promising ways to resolve the systemic contradiction in ensuring fire safety is the use of
artificial intelligence technologies. The need to develop intelligent survivability systems on Navy
ships is due to the need to improve the effectiveness of leadership in the fight for survivability in a
number of accidents and catastrophes. Examples of the influence of various factors on the conduct of
the struggle for survivability in the event of accidents are described. The role of intelligent survivability
systems in the systems of ships and vessels is determined. The necessity of implementing such systems
is justified. The intelligent survivability systems currently being developed on Navy ships are
designed to assist the command staff of ships and vessels in the timeliness and validity of decisionmaking,
which will increase the effectiveness of the fight for survivability
References
podderzhki upravleniem bor'boy za zhivuchest' morskogo sudna [Network system of information
automated support for the management of the struggle for the survivability of a marine
vessel], Morskaya radioelektronika [Marine Radio Electronics], 2016, No. 3 (64).
2. Polenin V.I., Kivaev N.M., Sukhachev Yu.A. Sozdanie integrirovannykh sistem boevogo
upravleniya – vysshaya stadiya kompleksirovaniya [Creation of integrated combat control systems
is the highest stage of integration], Morskaya radioelektronika [Marine Radio Electronics],
2014, No. 2 (48), pp. 44-49.
3. Mozhaev A.S., Polenin V.I. Setevoe planirovanie i upravlenie – perspektivnyy put' sozdaniya
integrirovannykh sistem boevogo upravleniya [Network planning and management – a promising
way to create integrated combat control systems], Sb. trudov 12-y Mezhdunarodnoy
nauchnoy shkoly "Modelirovanie i analiz bezopasnosti i riska v slozhnykh sistemakh" [Proceedings
of the 12th International Scientific School "Modeling and analysis of security and
risks in complex systems"]. Saint Petersburg, 2014;
4. Obraztsov I.V., Petrov S.A., Kulit' V.F., Pakhomov E.S. i dr. Promezhutochnyy otchet o
nauchno-issledovatel'skoy rabote «Poisk i issledovanie metodov i tekhnologiy iskusstvennogo
intellekta dlya primeneniya v sistemakh obespecheniya pozharnoy bezopasnosti korabley»
(shifr «Triumf-25»). 1 etap, VI DPO VUNTS VMF «Voenno-morskaya akademiya». UDK
623.8/9 [Interim report on the research work "Search and research of artificial intelligence
methods and technologies for use in ship fire safety systems" (code "Triumph-25"). Stage 1,
VI DPO VUNTS of the Navy "Naval Academy". UDC 623.8/9]. Saint Petersburg, 2023.
5. Obraztsov I.V. Primenenie tekhnologiy iskusstvennogo intellekta v sistemakh obespecheniya
pozharnoy bezopasnosti korabley VMF [Application of artificial intelligence technologies in
fire safety systems for Navy ships], Sb. statey po re ul'tatu kruglogo stola na temu: «Teoriya i
praktika primeneniya iskusstvennogo intellekta v voennoy sfere» MVTF «Armiya-2022» [A
collection of articles on the results of the round table on the topic: "Theory and practice of the
use of artificial intelligence in the military sphere" MVTF "Army-2022"]. Serpukhov, 2022.
6. Obraztsov I.V. Prognozirovanie korabel'nykh pozharoopasnykh situatsiy s ispol'zovaniem
iskusstvennoy neyronnoy seti [Forecasting of shipboard fire-hazardous situations using an artificial
neural network], Sb. materialov nauchno-prakticheskogo seminara «Problemy PVO
(VKO) perspektivnykh nadvodnykh korabley» [Collection of materials of the scientific and
practical seminar "Problems of air defense (East Kazakhstan region) of promising surface
ships"]. Saint Petersburg, 2022.
7. Obraztsov I.V. Perspektivy razrabotki i vnedreniya intellektual'noy podderzhki prinyatiya
resheniy po bor'be za zhivuchest' korabley VMF [Prospects for the development and implementation
of intellectual decision-making support for the fight for the survivability of Navy
ships], Sb. materialov po itogu nauchno-tekhnicheskogo seminara «Informatsionnaya
podder hka protsessov ekspluatatsii kompleksov voennogo na nacheniya» YaVVU PVO [Collection
of materials on the results of the scientific and technical seminar "Information support
for the operation of military complexes" YaVVU Air Defense]. Yaroslavl', 2023.
8. Semantic Sensor Network Ontology. W3C Recommendation 19 October 2017. Available at:
https://www.w3.org/TR/vocab-ssn/.
9. SSN ontology. Available at: http://www.w3.org/ns/ssn/.
10. Rukovodstvo po obespecheniyu zhivuchesti nadvodnykh korabley [Guidelines for ensuring the
survivability of surface ships]. Moscow: Voenizdat, 2017.
11. Rukovodstvo po obespechenii zhivuchesti podvodnykh korabley (ROZH PL-2017) [Guidelines
for ensuring the survivability of submarines (ROJ PL-2017)].
12. Rukovodstvo po obespecheniyu zhivuchesti remontiruemogo korablya (ROZH RK-2017)
[Guidelines for ensuring the survivability of the repaired ship (ROJ RK-2017)].
13. Pravila i programmy podgotovki podvodnykh lodok VMF (PBZH PL-2018) [Rules and training
programs for Navy submarines (PBJ PL-2018)].
14. Korabel'nyy ustav VMF (KU VMF-2021) [Naval Ship Charter (Navy Code-2021)].
15. Trebovaniya VMF k sistemam informatsionnoy podderzhki po bor'be za zhivuchest'
podvodnoy lodki. D-5539 [Requirements of the Navy for information support systems to combat
the survivability of a submarine. D-5539]. Saint Petersburg: NII korablestroeniya i
vooruzheniya VMF, 2013.
16. Nikitin E.V. Nekotorye problemy obespecheniya zhivuchesti korabley i sudov VMF [Some
problems of ensuring the survivability of ships and vessels of the Navy], Voennaya mysl' [Military
Thought], 2016.
17. Kwiecińska B. Cause-and-effect analysis of ship fires using relations diagrams, Scientific
Journals Zeszyty Naukowe of the Maritime University of Szczecin, 44 (116), pp. 187-191.
18. Panteleev M.G., Lebedev S.V. Ontologicheskoe proektirovanie podsistemy otsenki obstanovki
intellektual'nykh agentov [Ontology-Driven Approach to Design of Situation Awareness Subsystem
of Intelligent Agents],Ontologiya proektirovaniya [Ontology of Designing], 2016,
Vol. 6, No. 3 (21), pp. 297-316.
19. Lebedev S., Panteleyev M. Ontology-Driven Situation Assessment System Design and Development
in IoT Domains, International Journal of Embedded and Real-Time Communication
Systems (IJERTCS), 2017, Vol. 8, No. 1, pp. 1-17.
20. 20. Panteleyev M.G., Lebedev S.V. Ontology-Driven Design and Development of Situation
Assessment Software in Cyber-Physical Systems, In «Tools and Technologies for the Development
of Cyber-Physical Systems». IGI Global, 2020, pp. 51-76.
