The Use of the 'Digital Twin' Concept for Proactive Diagnosis of Technological Packaging Systems
| Autor: | Bogdan Palchevskyi, Lyubov Krestyanpol |
|---|---|
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Communications in Computer and Information Science ISBN: 9783030616557 DSMP |
| DOI: | 10.1007/978-3-030-61656-4_29 |
| Popis: | An important issue to produce the technological equipment including the equipment for packaging is the up-grading of production automation systems, which involves improving the control and monitoring over the industrial equipment, providing its self-test. Technological equipment is used in many branches of industry. Its malfunction leads to a significant decline in the economic efficiency of production. To eliminate material losses directly during the equipment operation, there shall be carried out its predictive (proactive) maintenance and repair. To solve this issue, the methods of Big data analysis, artificial intelligence principles, digital technologies are being applied more widely in the industry, which make it possible to create Digital Twins of technological equipment and use them for self-test of manufacturing systems. These Digital Twins model the internal processes, technical specifications and behavior of the technological equipment under the conditions of interference and environmental effect, which makes it possible to perform data analysis in order to identify the sources of efficiency loss. At the stage of operation, the Digital Twin model of the technological equipment can be used to provide feedback in order to adjust the diagnostics and forecast malfunctions and to increase the operating efficiency of the technological equipment. There has been proposed a method of using digital models of the technological equipment condition, based on the measurement and comparison of the parameters that characterize the equipment operability, which promotes to the early detection of malfunctions and their elimination. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|