In today’s fast-paced world, efficiency and optimization are key to staying competitive. A Digital Twin is a dynamic model that replicates the behavior of a physical system, enabling real-time simulations, predictive analytics, and operational improvements. With this technology, companies can anticipate future scenarios, optimize processes, reduce costs, and enhance overall performance.
TwinLab is EAG’s cutting-edge internal solution for creating advanced Digital Twins. Built on well-validated EcosimPro simulation models, TwinLab bridges the gap between simulation and real-world applications, seamlessly integrating with industrial plants, complex systems, and external software.
TwinLab is designed with a structured, multi-layered architecture to ensure high performance and scalability:
Built and validated with EcosimPro, these models serve as the foundation of the Digital Twin
Supports FMI, OPC-UA, Web connection, and other industry standards for seamless integration. Also RT & Parallelization, co-simulation, and integration with PI systems for live data retrieval
Distributes processes across multiple CPUs for optimized performance
Offers powerful tools for Operator Training Simulators (OTS), optimization, predictive maintenance, control tuning, CAPEX-OPEX analysis, what-if scenario planning, etc.
From Simulation to Full Deployment
The Digital Twin creation process follows a streamlined approach:
Whether you’re optimizing industrial plants, energy systems, or manufacturing processes, TwinLab + EcosimPro delivers a powerful, scalable, and future-proof Digital Twin solution.
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