A case-study in the introduction of a digital twin in a large-scale smart manufacturing facility
Autor: | Dominic T. J. O'Sullivan, Ken Bruton, Jamie O’Sullivan |
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Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Industry 4.0 Process (engineering) business.industry Computer science Cyber-physical system 02 engineering and technology Asset (computer security) Maintenance engineering Industrial and Manufacturing Engineering Predictive maintenance 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Artificial Intelligence Analytics Information and Communications Technology Systems engineering business |
Zdroj: | Procedia Manufacturing. 51:1523-1530 |
ISSN: | 2351-9789 |
DOI: | 10.1016/j.promfg.2020.10.212 |
Popis: | In the field of industrial engineering the knowledge produced by newly obtained data is driving business forward. Automating the process of capturing data from industrial machines, analyzing it and using the knowledge gained to make better decisions for the machines is the crux of the digital twin. Sensor technology, Internet of Things platforms, information and communication technology and smart analytics allow the digital twin to transform a physical asset into a connected smart item that is now part of a cyber physical system and that is far more valuable than when it existed in isolation. The digital twin can be adopted by the maintenance engineering industry to aid in the prediction of issues before they occur thus creating value for the business. In this paper the authors look to introduce a maintenance digital twin to a large-scale manufacturing facility. Issues that hamper such work are discovered and categorized to highlight the difficulty of the practical installation of this concept. To aid in the installation process a digital twin framework is presented that simplifies the digital twin development process into steps that can be completed independently. With the framework in place the authors commence the task of completing these steps. |
Databáze: | OpenAIRE |
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