Digital Twin and IIoT in Optimizing Manufacturing Process and Quality Management
1 . IIOT AND DIGITAL TWIN IN PRODUCTION ENVIRONMENTS
The drive-chain in the Industrial Internet of Things ( IIoT ) involves three key elements of data , analytics and applications 1 : data are collected from production environments including equipment , products and processes enabled by IoT , data analytics is facilitated by advanced analytics including machine learning , and smart industrial applications are driven by data and analytics to provide a closed feedback loop to support optimal business decisions , production processes and equipment states , as illustrated in Fig . 1-1 . Digital twin technologies 2 that systematically organize and synchronize data from the equipment , enable streaming data analytics , hence provide a dynamic representation of the production environment in the digital space . They further enhance the capability of smart industrial applications 3 .
Fig . 1-1 : IIoT and digital twin in production environment .
This article presents the concepts and practices on the design , implementation and some preliminary outcomes based on a real-world use case in a production process control and quality
1
Industrial Internet Reference Architecture . V1.9 . Available : https :// www . iiconsortium . org / IIRA . htm
2
Digital Twins for Industrial Applications . Definition , Business Values , Design Aspects , Standards and Use Cases . An Industrial Internet Consortium , White Paper . Version 1.0 2020-02-18 . Available : https :// www . iiconsortium . org / pdf / IIC _ Digital _ Twins _ Industrial _ Apps _ White _ Paper _ 2020-02-18 . pdf
3
M . Bärring , B . Johansson , G . Shao , Digital Twin for Smart Manufacturing : The Practitioner ' s Perspective , SME International Mechanical Engineering Congress and Exposition , Proceedings ( IMECE ), Nov , 2020 .
- 58 - March 2021