A revolutionary digital twin (DT) platform is poised to transform the process industry by creating highly accurate virtual replicas of physical systems. This platform enables companies to optimize operations, enhance productivity, and drive innovation. Featuring advanced multi-domain and multi-time scale modeling capabilities, the DT system integrates predictive analytics, real-time optimization, and comprehensive scenario simulation, elevating decision-making and operational control.
Existing DT platforms often face limitations, struggling to integrate complex data streams and models from multiple sources. A solution was needed to seamlessly connect and optimize processes across various domains and timescales.
Researchers from Zhejiang University have announced a novel platform and published their work in Digital Twins and Applications. The new Novel Generation Modeling (NGM) system leverages the open-source programming language Modelica to create an intuitive and powerful modeling environment. It features eight integrated modules, including editors, simulators, and compilers. The system models chemical, electrical, thermal, and fluid systems while optimizing industrial processes for peak performance.
Professor Wenhai Wang, the project’s lead researcher, explained: “Our NGM platform addresses longstanding integration challenges in DT technology. By offering a highly scalable and accurate modeling environment, we empower industries to achieve unprecedented levels of efficiency and reliability. This breakthrough paves the way for safer and more optimized industrial control systems.”
The NGM system has the potential to redefine industrial practices. From chemical plants to energy production facilities, the platform enables predictive maintenance, continuous real-time monitoring, reduced downtime, lower costs, and a smaller environmental footprint.
Original Source: Virtual replicas for real-world solutions: di | EurekAlert!
