Harnessing the Power of AI for Adaptive Process Control
Aspen DMC3™ by AspenTech is a cutting-edge technology that enables companies to sustain optimal process performance through AI-enabled adaptive process control. By leveraging deep learning, Aspen DMC3™ allows for the development of highly accurate and sustainable APC models that cover a wider operational range by combining linear and nonlinear variables in a single model with AI integration.
Simultaneous Adaptation and Optimization
One of the key features of Aspen DMC3™ is its capability to adapt and optimize simultaneously. This leads to improved ROI and energy efficiency as the technology facilitates rapid controller deployment, continuous model improvement, and streamlined workflows. Engineers can now easily achieve better performance through simplified processes and enhanced model building with the help of AI.
Revolutionizing Modeling, Tuning, and Optimization
With Aspen DMC3™, the process of modeling, tuning, and optimization is revolutionized. AI technology is leveraged to simplify model building, while step-by-step wizards aid in controller tuning by specifying linear and nonlinear optimization objectives. This not only enhances controller performance but also reduces complexities in the optimization process.
Enhanced Performance with Remote Monitoring
To ensure enhanced performance, Aspen DMC3™ offers remote monitoring capabilities. This feature allows for increased controller uptime by securely accessing, visualizing, and analyzing real-time Key Performance Indicators (KPIs). By leveraging remote monitoring, companies can proactively address issues and optimize operational efficiency.
Unlocking Operational Excellence and Sustainability
In today's dynamic business environment, operational agility is essential for companies to meet market demand, maximize margins, and reduce energy consumption. Aspen DMC3™ plays a crucial role in helping companies achieve and sustain operational excellence by delivering significant results, including a 2-5% improvement in throughput, 3% increase in yield, 10% reduction in energy consumption, and over 50% reduction in product quality standard deviation.