Brochures

1 Edge Computing: New Support for Digital Twins // WHITE PAPER EDGE COMPUTING: NEW SUPPORT FOR DIGITAL TWINS Digital twins are one of the most exciting technology developments to emerge over the past few years. By creating a virtual model of a physical product, then simulating its real-time operation, companies are optimizing maintenance, predicting critical maintenance events and fueling innovation via actual performance feedback. Because simulation requires computational resources and the associated data outputs are large, cloud computing ― with its scalability and relatively low cost ― has traditionally been the technology environment of choice for supporting digital twins. But today, edge computing has emerged as a promising alternative. Edge computing leverages local resources that are close to the physical product's location, which means reduced latency, while improving responsiveness, agility and privacy. For companies that are interested in creating digital twins, but have not taken the leap yet, the advantages of edge computing might convince them to explore this advanced practice ― and begin capturing valuable insights about their operations. / Executive Summary The term "digital twin" is trending, but the majority of businesses are still not capitalizing on this advanced technology. By leveraging sensors mounted on physical products to capture real-time data, digital twins allow engineers to gain an unprecedented level of insight into real-world operating performance. They can schedule preventive maintenance, optimize operating parameters, eliminate breakdowns and even optimize future product development efforts. Today, a new approach called edge computing is placing digital twins within the reach of more companies. By using localized technology resources ― from dedicated servers to small-scale computers ― to collect and process real-time operating data, companies can avoid the unexpected costs and delays that can be associated with large-scale cloud computing. Edge computing holds the promise of making a digital twin strategy much faster and less expensive to implement. But is edge computing the right choice for your business? With the industry's leading physics-based simulation toolkit, and a range of specialized digital twin solutions, Ansys can help you make smart, informed choices that deliver the highest return on your digital twin investment. In addition, Ansys has developed a set of specialized solutions that support the creation and application of digital twins, including Ansys Twin Builder. This advanced solution leads engineers through the process of building the product model, then verifying and optimizing its performance by comparing it to test data. As engineers replicate the real-world environment in which the product system will operate, Twin Builder cuts time and costs by allowing engineering teams to re-use both models and data f rom the original product development process. Because Ansys simulation solutions support both the development and creation of digital twins on a shared technology platform, they leverage the power of digitalization to bring the engineering and operations teams closer together in a collaborative ecosystem. In addition, Twin Builder is built to leverage and integrate with customers' existing technology assets, including embedded software, 1D and 3D models, and linkages to a broad range of IIoT platforms. Twin Builder's support for multiple modeling domains and languages ― as well as its intuitive interface ― make it seamless and straightforward to create, verify and deploy a digital twin for virtually any customer application. Ansys Twin Builder is a unique solution that guides companies through the process of building, validating and deploying digital twins.

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