12 Jun 2023

Rockwell Automation and NVIDIA: Digital Twins Meet Industrial Automation

Tags

  • Rockwell Automation
  • NVIDIA
  • Omniverse
  • Digital Twin
  • FactoryTalk
  • Simulation
  • Artificial Intelligence

Rockwell Automation announced a collaboration with NVIDIA aimed at bringing high-fidelity digital twin simulation, built on NVIDIA's Omniverse platform, into mainstream industrial automation workflows. The partnership connects Rockwell's FactoryTalk and Studio 5000 environments with Omniverse's real-time 3D simulation and AI tooling.

The practical goal is to let engineers validate PLC logic, robotic motion sequences, and entire production line layouts against a physics-accurate virtual model before a single cable is pulled on site — reducing commissioning risk and shortening time-to-production for new lines.

It also signals a broader shift: digital twin technology, once the preserve of automotive and aerospace giants with dedicated simulation teams, is becoming accessible to mid-sized manufacturers through standard automation vendor toolchains.

Virtual commissioning of this kind directly complements the simulation and test work IMSI already carries out before site installation — validating control logic against a model first continues to be one of the most effective ways to de-risk a commissioning programme.

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Where required, IMSI can take a project from the concept stage through to full production. Whether you know what you need or just know the problem, IMSI can work with you to achieve a solution.In terms of control system design, focusing on the bigger picture is essential. As an external partner, we gain a universal understanding in the nature and design of your control system, developing automation solutions that will enhance the performance of your entire operation.
Reviewing your system objectives both in the short and long term, we can help identify system design solutions to achieve improved reliability, efficiency and productivity. We verify whether your current control system diagrams are still relevant, before using our detailed analysis to design the new system.
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