Innovative Collaboration in Industrial Automation 🚀
This year, AVEVA and NVIDIA join forces to transform industrial automation within the sectors of energy, power, and chemicals. By merging AVEVA’s advanced Dynamic Simulation platform with NVIDIA’s Raptor deep reinforcement learning (DRL) engine, they seek to revolutionize conventional industrial methods, making them fully autonomous.
Transforming Industrial Operations 🌟
The goal of this partnership is to harness the power of AI to develop cutting-edge process simulation tools. These tools are anticipated to significantly reduce instances of unplanned downtimes, improve production efficiency, and enhance product quality. By employing AI-driven DRL agents, the collaboration aims to enhance reasoning abilities and enable iterative planning processes, paving the way for elevated control over industrial systems and the realization of completely autonomous facilities.
Tackling Automation Challenges 🔧
Traditional control methodologies often exhibit difficulties when faced with transient occurrences—unexpected disturbances that arise within industrial environments. Typically, in such cases, plant operators resort to hands-on control measures to regain stability, which can prove to be costly. By advancing towards increased autonomy in industrial settings, the partnership promises numerous advantages, including:
- Enhanced safety protocols
- Improved operational efficiency
- Cost savings
- Better environmental sustainability
Strategic Alliance with Schneider Electric 🔗
AVEVA and NVIDIA are also partnering with Schneider Electric to leverage their collective expertise across varied use cases related to industrial processes and computation infrastructure. This collaboration includes training autonomous AI agents through the use of digital process twins, as well as implementing high-precision digital twins to enable real-time monitoring and control. They are working on developing reference designs tailored for data centers, specifically to support AI workloads, thereby improving deployment reliability and speed.
Results from the Integration of AVEVA and NVIDIA 🛠️
The collaboration has enabled AVEVA’s Dynamic Simulation to undergo testing alongside NVIDIA’s Raptor engine. This simulation achieves the creation of dynamic twins of process plants that serve various functions, such as operator training and effective process design. Moreover, the integration facilitates large-scale reinforcement learning by utilizing accelerated computing either on-premises or in cloud settings to enhance industrial processes.
One noteworthy success is observed in the field of chemical distillation. Here, a DRL agent trained with AVEVA’s Dynamic Simulation demonstrated the ability to stabilize operations at double the speed of manual control, successfully maintaining optimal temperature and product quality even amidst considerable feed variations.
Looking Ahead: Future Potential 🔮
AVEVA’s roadmap includes piloting, commercializing, and scaling the Dynamic Simulation combined with Raptor. This entails collaboration with leading energy enterprises to test the solution rigorously, ensuring reliability prior to large-scale implementation. By utilizing NVIDIA’s accelerated computing platform, AVEVA seeks to simplify training and deployment processes, employing no-code workflows which promote the seamless integration of AI-driven methodologies within industrial contexts.
Hot Take: Embracing the Future of Industrial Automation 🚀
This collaboration marks a significant step towards reshaping how industries manage operations, offering innovative solutions aimed at enhancing efficiency and safety. As AI continues to evolve and integrate within various sectors, companies can look forward to a future where processes are optimized through advanced simulations and autonomous systems, allowing for smarter, more responsive industrial environments.
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