Digital Twins: Smooth Interoperators

Digital Twin Interoperability

Digital twin interoperability is the ability of multiple virtual representations of physical systems to effectively interact with each other.

Key Concepts

In 2021, the Digital Twin Consortium (DTC) announced the Digital Twin Interoperability Framework, outlining seven key concepts.

Model-based Approach

“With millions and billions of interconnections implemented daily, designers can codify, standardize, identify, and reuse models in various use cases in the field,” according to DTC.

Holistic Information Flow

A seamless and comprehensive data flow facilitates better understanding of real-world conditions for more informed decision making across the product lifecycle.

State-based Interactions

Encompass the entity’s static and dynamic attributes at any a point in time.

Federated Repositories

Accessing and correlating distributed, heterogenous info across multiple dimensions of a digital twin across the product lifecycle is required for optimal decision support.

Actionable Information

Data that’s exchanged between systems must provide actionable insights.

Scalable Mechanisms

Ensure that the methods of interoperability can grow from simple connections between two systems to complex interactions among many different and distributed systems worldwide.

Ease of Systems

Anto Budiardjo, CEO of Pad.io, says, “The Digital Twin System Interoperability Framework enables USB-type compatibility and ease for all systems connected to the Internet and private networks, which until now, has been the domain of system integrators.”

System of Systems

Gordon (Guodong) Shao, a computer scientist at NIST, told VentureBeat: “We need to take a system-of-systems approach to characterize and manage these subsystems to ensure cross-disciplinary interoperability and maintain the credibility of digital twins.”

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