Advanced Process Control for Multi-Unit Plant Optimization

The patent creates a virtual copy of the physical process through dynamic simulation models. This virtual model replicates the behavior of the actual multi-unit plant, allowing optimization calculations to be performed on the copy rather than directly on the complex physical system. The simulation model serves as a simplified representation that captures essential dynamics without requiring the full complexity of the real system.

The patent introduces an intermediary optimization system that sits between the control systems and the physical process. This intermediary layer performs multidimensional analysis and determines optimal operating points, acting as a mediator that translates complex process data into actionable optimization recommendations without requiring direct human intervention in the complex analysis.

The patent implements self-service through automatic coefficient adjustment and autonomous optimization algorithms. The system automatically adapts model parameters to changing process conditions and independently determines optimal operating points without requiring operator expertise in multidimensional analysis. The optimization system serves itself by continuously learning and adapting to the process dynamics.

The patent replaces manual operational complexity with automated computational systems. Instead of requiring operators to perform complex multidimensional analysis mentally or through manual calculations, the system uses computer-based optimization algorithms and machine learning models to automatically determine optimal operations, substituting mechanical human cognitive processes with automated computational processes.

The patent applies segmentation by dividing the plant network into multiple controllable units or zones, each with its own optimization considerations. The holistic control system coordinates these segmented units to achieve overall plant stability. This segmentation allows the complex control problem to be broken down into manageable sub-problems that can be solved and coordinated systematically.

The patent implements a universal optimization platform that can control multiple different units and processes across the plant network. This multi-functional system handles diverse process conditions and unit types through a unified control architecture, achieving holistic control without requiring separate specialized control systems for each unit, thereby managing complexity through standardization.