This collaboration stems from the growing trend of industrial companies investing millions of dollars in building, maintaining, and remotely tracking the performance of their Internet of Things (IoT)-enabled assets, machinery, and vehicles. To maximize a product's sustainability and efficiency under real-world conditions, operators require a digital twin—a virtual prototype of a deployed asset's entire system. Operators rely on digital twin data to improve preventative maintenance programs, pioneer next-generation business models, and accelerate product development.
Azure Digital Twins helps create comprehensive models of physical environments with full support for bidirectional communication to IoT and edge devices. Through collaboration, manufacturers who model and connect assets with Azure Digital Twins can optimize asset production and operations using ANSYS Twin Builder. By leveraging computing integration and the digital twin definition language standard, ANSYS and Microsoft make it easier for users to adopt and deploy digital twins.
“Because industrial companies require all the data on real-world conditions and the maximum actionable information to further optimize the performance of deployed assets, industry partners must collaborate to form business solutions,” said Eric Bantegnie, vice president and general manager of ANSYS. “The complementary simulation data stream of ANSYS Twin Builder augments Microsoft Azure IoT services and greatly improves its customers’ understanding of asset performance.”
Sam George, corporate vice president of Azure IoT at Microsoft Corp., said, “As Microsoft Azure customers adopt IoT and Digital Twins to understand their business assets in real time, many are looking for analytics tools that help them gain new insights. Collaborating with ANSYS to extend Azure Digital Twins provides our customers with an understanding of the performance of their deployed assets by leveraging physics and simulation-based analytics.”
