Do you want to see how AI-powered plant control maximizes your EBIT without disturbing production?
We have developed a robust, self-learning Advanced Process Control with more than 10 years accumulated operating experience across several critical process plants.
AOPSTM IGNITE - the new interoperable AI ready platform for Advanced Automation
For the fast and robust integration of AI powered and conventional Advanced Process Control & Real Time Optimization tools from different vendors
- Future-ready for AI powered applications
- Easily scalable for multiple APC and RTO applications
- Standard interfaces to all commercially available DCS
- Integrated Operator Cockpit to create one common look and feel for all APC and RTO tools
- Seamless IT/OT integration from DCS to enterprise level
All based on 30 years of experience with 300 installations around the globe.
AOPSTM AIPC – AI powered, self-learning Advanced Process Control
Overcoming the limitations of classical Model Predictive Control (MPC, APC)
- Boosted control performance for highly non-linear processes), large operation envelopes (e.g. 50–100% load) or different operation modes
- No disturbance of operations, during implementation (no step tests, no test case operation)
- Fast implementation through off-line model training with historical operations data
- Minimal maintenance effort through Automatic model retraining to adapt to new operating modes
AOPSTM AIPC already today delivers great benefits in different industries
- Controlling plants with 20 different production modes
- Managing frequent large production changes (every 15-30 minutes)
- Allowing extremely fast implementation (6-12 weeks) without impact on production
- Stabilizing extremely critical utility gas supply to chemical complex and ultra-high purity gas production for semiconductor fab
- Enabling customers process engineers to re-train AI models in case of plant equipment changes (aging) or new production modes
The performance of AOPSTM AIPC in all its applications is compelling
- 35% faster load changes
- 2-9% increases product yield
- Up to 1% increased energy efficiency
- 60–80% faster implementation and maintenance compared to conventional (six weeks implementation time)
- Very stable operations
- Payback time less than 12 months
References and Realized Benefits from AI Plant Controls
Artificial intelligence (AI) can significantly increase the efficiency of industrial plant control. We combine vast experience in process operations and closed-loop process control with best-in-class, AI-powered technologies to create step changes in the profitability of your operations. Several references shown in the video illustrate the advantages of plant control.
Start Your EBIT boosting, AI powered plant automation journey today!
AOPSTM IGNITE
The mature and robust Advanced Automation Platform for Procedural Automation, Load Changes and conventional Model Predictive Control.
AOPSTM AIPC
The next generation, proven self learning non-linear Model Predictive Control based on reinforced learning.
AOPSTM AI-RTO
AI powered Real Time Optimizer combining the power of first principal models with the simplicity of dynamic RTO.
