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With Rockwell Automation’s Emulate3D digital twin software program, customers can determine potential management points preemptively, saving useful time and assets throughout implementation. | Supply: Rockwell Automation
Rockwell Automation is integrating NVIDIA Omniverse software programming interfaces (APIs) into its Emulate3D digital twin software program. Rockwell Automation mentioned this integration will improve manufacturing facility operations by synthetic intelligence (AI) and physics-based simulation know-how.
Rockwell Automation’s Emulate3D software program makes use of NVIDIA Omniverse APIs to create factory-scale dynamic digital twins primarily based on OpenUSD interoperability and NVIDIA RTX rendering applied sciences. Whereas visualization was beforehand doable, this enhancement allows true emulation and dynamic testing of a number of machines inside a system, Rockwell mentioned. The combination is deliberate for early 2025 and can allow improved visualization and simulation capabilities for manufacturing environments.
“Our integration of Emulate3D with NVIDIA Omniverse marks a major leap ahead in bringing autonomous operations to life,” mentioned Blake Moret, chairman and CEO of Rockwell Automation. “By combining our deep industrial experience with NVIDIA’s cutting-edge know-how, we’re serving to our clients obtain new ranges of effectivity, innovation, and collaboration of their manufacturing processes.”
Rockwell Automation is devoted to industrial automation and digital transformation. The Milwaukee, Wis.-based firm employs 27,000 individuals in additional than 100 international locations as of fiscal year-end 2024.
The corporate’s Emulate3D digital twin software program helps customers preemptively determine potential management points, saving time and assets throughout implementation. Plant personnel obtain extra assist by having a digital house to coach on new methods, predict future efficiency, and simulate line modifications with out real-world penalties.
NVIDIA Omniverse allows digital twins at scale, Rockwell mentioned
Digital twins improve gear growth and management testing by simulation fashions and emulation, decreasing startup time and danger. As gear is linked into strains, fashions scale and challenges come up from siloed experience and integration points between individually engineered elements.
A system-level perspective, together with interoperability throughout machines, can remedy these points, however requires collaboration for system-level testing. As strains scale, bigger digital twins require extra computational energy, risking bottlenecks. Automation leaders want scalable options to attain full factory-scale fashions, constructing on digital twin successes.
By utilizing NVIDIA Omniverse, Emulate3D will enable a number of dynamic digital twins to be mixed and visualized as an entire manufacturing facility by an online app. This vendor-agnostic, scalable method goals to deal with the rising want for factory-scale digital twins created by engineers collaborating throughout numerous groups. Rockwell Automation’s experience in industrial automation and Emulate3D’s complete modeling capabilities pair with the NVIDIA Omniverse platform to allow real-time collaboration at scale.
Rockwell mentioned producers will profit from:
- Hyperscale capabilities by Emulate3D’s multi-model know-how
- Cloud-based deployment choices for optimum flexibility
- Vendor-agnostic connectivity to a variety of 3D functions
- A unified net app for stakeholder visualization
NVIDIA Omniverse lets builders combine numerous manufacturing facility layers right into a complete mannequin, combining architectural software program with industrial digital twins. This allows better coordination throughout industrial design and operation. Constructed for scalability, Omniverse’s Common Scene Description (OpenUSD) foundations and cloud deployments develop alongside tasks. This implies it helps meet buyer calls for for even essentially the most complicated endeavors.
Rockwell mentioned this technique is especially useful for industries with complicated, hybrid functions. These embrace client packaged items, meals and beverage, life sciences, semiconductor manufacturing, automotive, and materials dealing with.
