Automation of technological and business processes

ISSN-print: 2312-3125
ISSN-online: 2312-931X
ISO: 26324:2012



П. М. Тишин
А. В. Гончаров
К. О. Куширець


The article describes a multi-agent system based on the OWL ontology, taking into account the FIPA standards for the object security system. The given data on the work of intellectual agents and communication between them, as well as proposals for solving the tasks assigned. The proposed concept allows to significantly reduce the amount of electricity consumed during the operation of the object tracking system at a certain perimeter for the purpose of object protection. The range of tasks to be solved is not limited only to the implementation of the multi-agent system, among other things, such algorithms as constructing the proposed route of the object's movement, selecting a camera for tracking the object, diagnosing the system for errors are realized. Due to the peculiarities of the interaction of intelligent agents, this system is subject to simple expansion in the event of an increase in the surveillance area or an increase in the number of sensors in a certain territory. Structurally, the security system consists of a control center with a control system, where an operator sits observing the perimeter around the protected object; a set of microcomputers monitoring a certain sector of the protected area using sensors (main and auxiliary); two rotary cameras providing a visual inspection of the surroundings of the facility. An effective communication algorithm and a set of rules for agents allows you to capture the maximum number of objects using the shared resources of agents of two cameras. To prevent the failure of the elements of the security system, a monitoring system is provided, which in turn is controlled by an intelligent agent that interacts with the sensor agents and the decision support agent. In the future, the results of the study can be used to improve the protection of objects.
Ключові слова:
multi-agent systems, ontology OWL, object protection, energy efficiency, agent-based approach.


Як цитувати
Тишин, П., Гончаров, А., & Куширець, К. (2018). РОЗРОБКА ТА ДОСЛІДЖЕННЯ МУЛЬТИАГЕНТНОЇ СИСТЕМИ ДЛЯ ОХОРОНИ ОБ’ЄКТА. Automation of Technological and Business Processes, 9(4).


[1] D.Y. Bugaychenko, “Razrabotka i realizaciya metodov formalno-logicheskoj specifikacii samonastraivayushhixsya multiagentnyx sistem s vremennymi ogranicheniyami”, Ph.D dissertation, Dept. Phys-Math, SPU, Russia, 2007. [2] V.A. Vittix, P.O. Skobelev “Multiagentnye modeli vzaimodejstviya dlya postroeniya setej potrebnostej i vozmozhnostej v otkrytyx sistemax”, avtomatizaciya i telemex., № 1, pp. 177-185,2002. [3] P.O. Skobelev i dr. “primenenie ontologii v intellektualnoj sisteme raspredelennogo upravleniya malorazmernyx kosmicheskix apparatov”, izvestiya samarskogo nauchnogo centra ran, Vol. 17, № 2(5), pp. 1119-1130, 2015. [4] P.O. Skobelev i dr. “Planirovanie celevogo primeneniya gruppirovki kosmicheskix apparatov distancionnogo zondirovaniya zemli s ispolzovaniem multiagentnyx texnologij”, izvestiya yufu. texnicheskie nauki, №10(171), pp. 6070, 2015. [5] P.O. Skobelev, “Otkrytye multiagentnye sistemy dlya operativnoj obrabotki informacii v processax prinyatiya reshenij”, Ph.D. dissertation, Dept. Tech, ICCS, Samara, Russia, 2003. [6] J. Garcia et al., “Agent-based Coordination of Cameras”, International Journal of Computer Science and Applications,vol. 2, pp. 33-37, Jan. 2005. [7] M. Laclavik et al. “Agent OWL: Semantic knowledge model and agent architecture”, Computing and Informatics, vol. 25, pp. 419-437, May. 2006. [8] K.S. Vivek et al., “Coopetitive multi-camera surveillance using model predictive control”, Machine Vision and Applications, vol. 19, pp. 375-393, Oct. 2008. [9] FIPA Abstract Architecture Specification, SC00001L, 2002.