Digital Twin Consortium
Digital Twin Consortium created the Digital Twin System Interoperability Framework to unlock significant value in complex distributed computing systems such as digital twins. We invite you to review, challenge, refine, and adopt this framework, and we hope it proves helpful in designing computing systems that improve our lives.... Read more →
A holistic view of products, processes, or even the whole value chain to enable closed-loop engineering, cross-company digital services, and more is a crucial success factor for any data-driven organization. The next generation of digital twin technologies will play a key role in standardizing and automating business processes across current boundaries of systems and companies. This blog post introduces the general concept behind digital twins and the latest standards in this area.... Read more →
Nicolas Waern, founder, WINNIIO, and co-chair of the Digital Twin Consortium Manufacturing Working Group talks about the benefits of digital twins for manufacturing.... Read more →
In this short video, the Co-Chairs of the Digital Twin Consortium's Infrastructure Working Group explain the design and intent of the recently published first draft of their Infrastructure Maturity Model... Read more →
Architects and designers deliver design intent and are not contractually responsible for actual building performance. How can digital twins increase the accountability of architects, engineers, designers, and everyone downstream (commissioning agents or system integrators) for the actual building performance?... Read more →
Standard forecasting and planning tools enable manufacturers to make predictions and generate action plans based on knowledge of their demand at a point in time. These plans often represent ideal cases, and their robustness needs assessment and, even better, maximization. This article explains how, thanks to real-time monitoring and simulation experiments, Digital Twins can help organizations build robust plans and implement resilient strategies in the face of high demand volatility.... Read more →
A new perspective hypothesis termed “Stellar Transformer” proposes “electromagnetic” energy between celestial objects be considered much like the induction transformer process that steps down household energy from the power company. The Predictive Earth Digital Twin can provide a continuously learning system that uses AI and machine learning algorithms to capture and predict changes in state and configuration of larger solar systems affecting the earth-sun induction processes of the Stellar Transformer... Read more →
Digital Twin Consortium member Sean Olcott discusses the value of a digital twin glossary and the importance of digital twin terminology.... Read more →
Cities have become early adopters of digital twin technology, and, as such, city planners are using virtual models to gain a competitive edge. Digital twins are disrupting the way capital projects and infrastructure are planned, built, and operated. The technology’s enhanced predictability and performance capabilities attribute to this disruption. The most significant use case of this innovative technology is capital projects during the development and operation of cities. Here, city planners, architects, constructors, operators, and even road and utility authorities can maximize the potential of the technology. As more global cities, including the world’s largest cities, begin adopting digital twins, the industry must examine how they impact large-scale projects and how this impact will develop in the future.... Read more →
Digital twins are enhancing the way capital projects and infrastructure are planned, built, and operated globally. However, despite their obvious benefits – including optimized decision-making and better project outcomes – and successful use cases, digital twins remain a new and mostly untapped resource, especially on bigger projects where they can be most impactful.... Read more →