Ansys Twin Builder is an open solution that allows engineers to create simulation-based digital twins with Hybrid Analytics
Engineering simulation software has traditionally been used for new product design, but with the advent of advanced embedded sensors, engineers can now use this data to create digital twins. Digital twins can be used in real-time systems analysis to schedule predictive maintenance and implement performance optimizations. With the Hybrid Analytics capability of Ansys, engineers can reach an unparalleled level of accuracy using predictive analytics by combining machine learning (ML)-based analytics with a physics-based approach.
Ansys Twin Builder allows you to implement complete virtual prototypes of real-world systems. These can be deployed to manage the entire lifecycle of products and assets. This digital twin simulation paradigm allows you to exponentially increase efficiencies over time, scheduling maintenance around predictive methodologies that become more accurate with real-world testing and response. Access to this information allows engineers to unlock additional value from existing assets, which prevents unscheduled downtime and lowers operating costs, while working at optimal efficiency, and all with agnostic Internet of Things (IoT) platforms.