The collaboration will allow Microsoft’s enterprise customers to more accurately predict an asset’s future performance and reduce unscheduled downtime expenses. This could reduce product maintenance costs and time to market.
A digital twin — which is a virtual prototype of a deployed asset’s complete system – can help industrial companies build, maintain and track the performance of remotely deployed Internet of Things assets, machinery and vehicles. The twin can help pinpoint preventive maintenance, pioneer business models and improve product development.
Eric Bantegnie, vice president and general manager at ANSYS commented, “As industrial companies require comprehensive field data and actionable insights to further optimise deployed asset performance, ecosystem partners must collaborate to form business solutions. ANSYS Twin Builder’s complementary simulation data stream augments Microsoft Azure IoT Services and greatly enhances their customers’ understanding of asset performance.”
Sam George, corporate vice president of Azure IoT at Microsoft Corp. added, “As Microsoft Azure customers adopt IoT and Digital Twins to understand their business assets in real time, many are now looking for analytics tools that help them find new insights. Collaborating with ANSYS to extend Azure Digital Twins provides our customers with an understanding of their deployed assets’ performance by leveraging physics and simulation-based analytics.”
Azure Digital Twins help create comprehensive models of physical environments with full support for two-way communication to IoT and Edge devices. Through the collaboration, manufacturers that model and connect assets using Azure Digital Twins can optimise asset production and operations using ANSYS Twin Builder.
By using compute integration and digital twin definition language standard, ANSYS and Microsoft aim to make it easier for users to adopt and deploy digital twins.
