SYSTEMS ENGINEERING IN SOCIETY
SYSTEMS ENGINEERING IN SOCIETY
Organization: The Digital Twin Consortium The Digital Twin Consortium is a global consortium comprising industry, government, and academia. It was founded to accelerate the development, adoption, interoperability, and security of digital twins and enabling technologies. Digital Twin is a virtual representation of real-world entities and processes, synchronized at a specified frequency and fidelity (DTC). A digital twin is a virtual representation of an object or system that spans its lifecycle, is updated from real-time data, and uses simulation, machine learning and reasoning to help decision-making (IBM). This means creating a highly complex virtual model that is the exact counterpart (or twin) of a physical thing. The ‘thing’ could be a car, a building, a bridge, or a jet engine. Connected sensors on the physical asset collect data that can be mapped onto the virtual model. Anyone looking at the digital twin can now see crucial information about how the physical thing is doing out there in the real world. Digital twins let us understand the present and predict the future. A digital twin is therefore a tool to help engineers and operators understand not only how products are performing, but how they will perform in the future. Analysis of the data from the connected sensors, combined with other sources of information, allows us to make these predictions. The Digital Twin Consortium aims to propel the innovation of digital twin technology through consistent architecture and design methods, open-source collaboration, and development of best practices. It is committed to demonstrating the value of digital twin technologies and guiding positive business outcomes for digital twin end users. The Digital Twin Consortium has three primary objectives: • • •
Influence the direction of the digital twin industry improve interoperability of digital twin technologies, and influence the requirements for digital twin standards.
Much of the work of the consortium is carried out through its eight Working Groups: • • • •
Aerospace & Defense FinTech Healthcare & Life Sciences Infrastructure
• • • •
Manufacturing Natural Resources Security & Trustworthiness Technology, Teminology & Taxonomy (3T)
The members are committed to using digital twins throughout their global operations and supply chains. They set de facto technical guidelines and taxonomies, publish reference frameworks, develop requirements for new standards, and share use cases to maximize the benefits of digital twins. The consortium is open to any business, organization, or entity with an interest in digital twins. Digital Twin Consortium is part of the Object Management Group®. More information: https://www.digitaltwinconsortium.org/index.htm
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