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With Rockwell Automation’s Emulate3D digital twin software program, customers can determine potential management points preemptively, saving invaluable time and assets throughout implementation. | Supply: Rockwell Automation
Rockwell Automation is integrating NVIDIA Omniverse utility programming interfaces (APIs) into its Emulate3D digital twin software program. Rockwell Automation stated this integration will improve manufacturing unit operations via 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 based mostly on OpenUSD interoperability and NVIDIA RTX rendering applied sciences. Whereas visualization was beforehand potential, this enhancement permits true emulation and dynamic testing of a number of machines inside a system, Rockwell stated. The mixing 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,” stated 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 folks 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 area to coach on new techniques, predict future efficiency, and simulate line adjustments with out real-world penalties.
NVIDIA Omniverse permits digital twins at scale, Rockwell stated
Digital twins improve gear improvement and management testing via simulation fashions and emulation, lowering startup time and threat. As gear is related 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.
Through the use of NVIDIA Omniverse, Emulate3D will permit a number of dynamic digital twins to be mixed and visualized as a whole manufacturing unit via an online app. This vendor-agnostic, scalable strategy goals to handle the rising want for factory-scale digital twins created by engineers collaborating throughout varied 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 stated producers will profit from:
- Hyperscale capabilities via Emulate3D’s multi-model know-how
- Cloud-based deployment choices for optimum flexibility
- Vendor-agnostic connectivity to a variety of 3D purposes
- A unified net app for stakeholder visualization
NVIDIA Omniverse lets builders combine varied manufacturing unit 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 initiatives. This implies it helps meet buyer calls for for even probably the most advanced endeavors.
Rockwell stated this method is especially invaluable for industries with advanced, hybrid purposes. These embrace shopper packaged items, meals and beverage, life sciences, semiconductor manufacturing, automotive, and materials dealing with.
