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Digital Twins, Digital Engineering, and the Critical Role of Measurement Systems
Digital twins are rapidly transforming the way complex systems are designed, validated, operated, and maintained. While much of the discussion around digital twins focuses on simulation, AI, and predictive analytics, the foundation of every successful digital twin is trustworthy real-world measurement data.
This presentation explores what digital twins really are, how they are created, and the ecosystem of organizations and technologies involved in building and maintaining them. We'll examine the growing adoption of Model-Based Systems Engineering (MBSE) and SysML v2 as the backbone of modern digital engineering, enabling organizations to establish a connected digital thread spanning requirements, architecture, design, implementation, verification, and operations.
The session will then focus on where LabVIEW and measurement systems fit into this evolving landscape. Attendees will learn how test systems provide the data needed to validate models, calibrate simulations, refine digital twins throughout a product's lifecycle, and ultimately increase confidence in engineering decisions. Real-world examples will illustrate how measurement systems are becoming an essential component of modern digital engineering workflows rather than existing as isolated validation tools.
Whether you're developing automated test systems, supporting manufacturing, or building next-generation engineering solutions, this session will provide practical insight into how LabVIEW measurement systems can play a central role in the future of digital engineering.
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