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Digital twins are commonly divided into subtypes that sometimes include: digital twin prototype (DTP), digital twin instance (DTI), and digital twin aggregate (DTA). [12] The DTP consists of the designs, analyses, and processes that realize a physical product. The DTP exists before there is a physical product.
The Digital twin integration level refers to the different degrees of data and information flow that may occur between the physical part and the digital copy of a digital twin. According to the different levels of integration, the digital twin can be divided into three subcategories: Digital Model (DM), Digital Shadow (DS) and Digital Twin (DT).
Digital thread is a means to gather data for use in the development of a Digital twin; "some argue [digital thread] is the backbone of digital twin applications". [10] "digital thread platforms can capture data from different systems, standardize it, and provide a seamless link between the physical process or product and the digital twin". [11]
Digital twins–virtual representations that serve as real-time digital counterparts of physical objects or processes–have greatly evolved since their first practical application at NASA in 2010 ...
[30] [31] Another benefit of implementing an IIoT system is the ability to create a digital twin of the system. Using this digital twin allows for further optimization of the system by allowing for experimentation with new data from the cloud without having to halt production or sacrifice safety, as the new processes can be refined virtually ...
Smart manufacturing [1] is a broad category of manufacturing that employs computer-integrated manufacturing, high levels of adaptability and rapid design changes, digital information technology, and more flexible technical workforce training. [2]
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