Hodnocení spolehlivosti technologických objektů s využitím bezdrátových kominikačních modulů

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Vysoká škola báňská - Technická univerzita Ostrava

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ÚK/Sklad diplomových prací

Signature

202000004

Abstract

Presented doctoral thesis “Reliability evaluation of technological devices with usage of wireless data networks” is focused on development and testing of methodology for technological state digital twin models. Thesis define this new type of digital twin concept and further define its architecture, which is based on usage of wireless sensor data networks as an instrument for data acquiring and initial data check from technological device and use of expert system for diagnosis of technological object’s state. Primary applicable areaof this new type of digital twin is a maintenance, where can be used actual technological state for proactive or predictive planning. Proposed technological state digital twin methodology is presented on energetic object example - steam pipe-line.The digital twin hardware is based on MIWI wireless networks topology from MICROCHIP company. Advantage of this technology is low price, low power consumption, modular structure and possibility to connect wide number of sensors. The expert system based on NTS department were used to creation of knowledge part of digital twin. Diagnosis were made off-line on the basis of real measurement. Proposed and tested type of technological state digital twin showed new possibilities in this area and contribute to development of industrial objects knowledge control. Thesis has character of applied-basic research, where the results will be able to applied as in operation environment in reliability areas, so the technological diagnosis and maintenance. Primary result of this thesis is proposition of methodology for creation new type of digital twin – technological state digital twin of industrial object. The results could be applied in operation area and could be inspiration for other research projects focused on knowledge control and industrial internet of things.

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digital twin, knowledge management, reliability, wireless networks, artificial intelligence

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