Development of Elements of an Intelligent High-Performance Platform of a Distributed Decision Support System for Monitoring and Diagnostics of Technological Objects
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URI (for links/citations):
https://link.springer.com/chapter/10.1007/978-3-030-51971-1_50https://elib.sfu-kras.ru/handle/2311/142342
Author:
Бухтояров, Владимир Викторович
Тынченко, Вадим Сергеевич
Петровский, Эдуард Аркадьевич
Башмур, Кирилл Александрович
Сергиенко, Роман Борисович
Corporate Contributor:
Институт нефти и газа
Кафедра технологических машин и оборудования нефтегазового комплекса
Date:
2020-07Journal Name:
Advances in Intelligent Systems and ComputingJournal Quartile in Scopus:
Q3Journal Quartile in Web of Science:
без квартиляBibliographic Citation:
Бухтояров, Владимир Викторович. Development of Elements of an Intelligent High-Performance Platform of a Distributed Decision Support System for Monitoring and Diagnostics of Technological Objects [Текст] / Владимир Викторович Бухтояров, Вадим Сергеевич Тынченко, Эдуард Аркадьевич Петровский, Кирилл Александрович Башмур, Роман Борисович Сергиенко // Advances in Intelligent Systems and Computing: Advances in Intelligent Systems and Computing. — 2020. — Т. 1225. — С. 614-626Abstract:
In the article the architecture of the intelligent high-performance platform of a distributed decision support system for monitoring and diagnostics of technological objects is developed. The proposed architecture will ensure the implementation of the concept of an integrated cyber-physical system to ensure the safety and sustainability of production in terms of operation of technological equipment. In general version, building a system using such an architecture, on the one hand, ensures openness in the formation of the analytical core of the decision support system, which will ensure a high level of system adequacy in the conditions of production transformation, increasing the intensity of infor- mation exchange and the volume of data being analyzed. The approaches based on the methods of automatic construction of artificial neural networks ensemble- distributed solvers (classifiers) are examined. It can be used to create analytical support for decision support systems and their automated initialization in a specific production environment. #CSOC1120.