OPC UA to gPROMS Twin Integration Guide
The OPC UA to gPROMS Twin Integration Guide is a technical resource detailing interoperable methods for connecting real-time industrial automation data—via the OPC Unified Architecture (OPC UA) protocol—to high-fidelity first-principles process models in gPROMS, enabling bidirectional synchronization for dynamic digital twin execution. It defines architectural patterns, data mapping conventions, security configurations, and runtime orchestration strategies required to close the loop between physical plant instrumentation and simulation-based virtual representations. The guide serves as both a reference implementation and a best-practice framework for deploying physics-informed digital twins in process industries such as chemicals, pharma, and energy.
📖 Overview
📑 Key Components
🎯 Applications
- ✓ Real-time Process Monitoring and Anomaly Detection
- ✓ Model Predictive Control (MPC) with First-Principles Models
- ✓ Operator Training Simulators Driven by Live Plant Data
📐 Key Formulas
State Estimation Residual
r_k = y_k - h(x_k, u_k)
Residual error between measured output y_k (from OPC UA) and simulated output h(x_k, u_k) predicted by gPROMS model at time step k; used in online state estimation
Parameter Adaptation Update (Recursive Least Squares)
θ_{k} = θ_{k-1} + K_k (y_k - φ_k^T θ_{k-1})
Online update of model parameters θ using OPC UA measurements y_k and regressor vector φ_k; K_k is the gain matrix