E-Book: From the machine’s design through to its operation and lifecycle management, the operator must be guided by both a sound plan as well as a dynamic network.
On their own, industrial Internet of Things (IIoT) devices constitute only part of the equation that unlocks these innovations. Equally important is having in place software solutions that allow businesses to take full advantage of the data collection, analytics, and automation features that IoT devices offer.
Digital twins are virtual representations of physical products. They have the ability to unlock value and optimization throughout a product’s lifecycle. By leveraging real-world data from IIoT-connected product and physics-based simulations, digital twins can better inform and predict product performance. This enables users to develop new designs, operations and controls to optimize performance, reduce downtime and enable service-based products — often without the customer needing to upgrade hardware. The technology to get an IIoT digital twin running is available, however, many organizations are having a hard time implementing and connecting all of the digital, physical and data assets together. With the help of ANSYS Twin Builder and PTC ThingWorx, engineers can simplify the creation of digital twins using physics-based simulations.
This webinar showcases how Maya HTT clients are successfully utilizing data and enabling non-data scientists to leverage AI technologies. Those looking to understand what industrial IoT and AI can bring to an engineering organization are encouraged to view this webinar.