The 5 stages of digital twin development

He joined SAP in 1997, and has worked in business consulting, product development and the industry solution management. These are just a few of the key levers that digital twins will begin to impact in the CPG space but this is just what we can see right now. As with all technology, new use cases will emerge over time as the industry matures and so the next ten years of this innovation will unlock a range of different concepts and ideas that we can’t even fathom just yet.

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Digital twin technology, initially aimed at space exploration, is now proving crucial for Earth-based applications. A standout project is the European Space Agency’s (ESA) Digital Twin Earth, which creates a dynamic digital replica of our planet. This allows for precise monitoring and forecasting of natural and human activities.

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Companies can inspect miles of railroad track or thousands of acres of a solar power plant, determining which panels and strings need repairs. Residential solar companies like Sunrun automatically capture a digital twin of each house they install solar panels on, enabling three times faster roof surveying without the danger of surveyors climbing on roofs. Construction companies like Rogers-O’Brien found they could perform inspections 50 times faster, leveraging digital twins. While the concepts behind digital twins are decades old, originating at NASA, these ideas are being democratized beyond rocket scientists to industries operating in the physical world. Core to this democratization is the accessibility of reality capture, IoT sensors, and cloud computing. The U.S. Space Force will employ digital twins in the Tetra 5 experiment to plan satellite refueling missions, ensuring critical space infrastructure’s continuous operation and extended lifespan.

This allows Sephora to make tailored recommendations to each customer, increasing the likelihood of purchase and driving revenue. And on top of this, Sephora’s DToCs integrate with its loyalty program, allowing the company to offer personalised offers and rewards to customers based on predicted behaviours. This technology has only been around for a few years, yet it has massive potential. The research team also hopes to use real-time weather and crop data to expand the digital twin environment. Generative design techniques automate design suggestions from a set of starting specifications.

The Digital Twin Earth can visualize environmental changes, support climate policies, and improve resource management by integrating Earth observation data with AI and in-situ measurements. Bring these capabilities to everyday life, and the possibilities grow exponentially. Simply mixing health data and artificial intelligence does not lead to a digital twin, nor does turbo-charging an individual’s electronic health records.

This includes digital twins of individual hardware designs, systems on a chip, electronic subsystems, and full systems. However, this will also require new infrastructure to capture, share, and track the fine-grained data powering these hybrid digital twins. Implementing digital twin technology in space exploration involves significant challenges that must be addressed to maximize its potential.

Digital twins: A collision of the physical and virtual worlds

Others expect to see simulation advances used to improve various aspects of operations, particularly with the rise of the so-called “omniverse” for rendering models — referring to the use of things like VR and AR, automated data labeling, AI-powered physics, and improved supply chains. Simulation software is an insurance policy for manufacturers, ABI Research principal analyst Michael Larner told VentureBeat. There is an arms race in the supplier community regarding the algorithms that can be deployed, he said. This “insurance” allows them to respond to rapid changes in consumer demands and supply chain disruptions, such as the chip shortage currently hobbling the auto industry.

Building on this, digital twins can also help retailers polish not only the physical in-store experience but also online. By understanding buying behaviours and identifying shopping patterns, retailers can adjust promotions, personalise recommendations and even tweak pricing on the fly which then can be reflected on digital channels, building a heightened experience. Looking forward, they can also create forecasts based on customer preferences and historical trends.

This powerful tool enhances current missions and lays the foundation for future monumental achievements. Let’s leverage digital twins to explore the unknown, unlock new potentials and ensure a prosperous future in the cosmos and on Earth. Musidora Jorgensen, Chief Sustainability Officer of Microsoft UK, says digital twins can be used to create a virtual replica of a natural environment to understand the impact of specific projects and constructions, such as wind farms, on local ecosystems. Better digital twins could also improve models that guide autonomous cars, ships, forklifts, and even factories. MPC is also used to simulate the spread of COVID-19 and determine the optimal interventions to accelerate its decline.

For consumer technology, this means that smartphones can maintain detailed digital twins of their users — capturing data on everything from user activity to environmental changes — all while ensuring that the user’s private information remains secure. The power of federated learning lies in its ability to continuously update the digital twin based on local device processing, creating a personalized and real-time model of the user’s life, without compromising on privacy. A digital twin is essentially a real-time virtual model of a physical object or system. Traditionally, these models have been applied in industrial settings to optimize operations, monitor equipment health, and predict system failures. However, Vadlakonda’s research has expanded this concept into the consumer space, proposing that smartphones could act as personalized digital twins of their owners.

• Industrial Products companies have been creating “digital twins” of their key assets – production machinery, mining equipment, delivery vehicles, large-scale refrigerators and industrial ovens that monitor and measure operating performance, temperatures, heat generation, and wear and tear.
• First, you build up a digital population of hypotheses and corresponding predicted measurements under different contexts.
• Markus Krabel is chief technology officer for the industrial machinery and components, and automotive industry, within the SAP industry business units.
• The AI can currently identify the diameters of real strawberries with a 1.2 millimeter margin of error.
• As users become increasingly concerned about the security and privacy of their data, this approach enables AI-powered personal assistants to learn and evolve based on individual behaviors while keeping the data on the device.

“Design decisions will be much smarter because, instead of new products being selected purely based on aesthetics or performance, they will be chosen based on a full range of factors,” Roger Assaker, president of Hexagon Manufacturing Intelligence’s MSC Software division, explained. Simulation integration techniques are also opening opportunities for multi-domain simulations. These build on multi-physics and integration techniques to support working across domains such as security and physical infrastructures like power grids and gas pipelines, Scalable Network Technologies CEO and founder Dr. Rajive Bagrodia said. For example, in the power grid, attacks that delay control of a circuit breaker or falsify sensor load reporting may cause a series of cascading effects with potentially catastrophic outcomes to a regional power grid. Multi-domain digital twins that couple physical system simulators with network emulators could improve resilience, detection, and response to these kinds of scenarios.