Des chercheurs de l’Université de Zhejiang présentent une plateforme numérique révolutionnaire de jumeau virtuel pour l’Industrie 4.0

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découvrez comment le jumeau virtuel révolutionne l'industrie 4.0 en offrant une simulation précise et en temps réel des processus industriels. optimisez vos opérations, réduisez vos coûts et améliorez l'efficacité grâce à cette technologie innovante.

The upheaval of Industry 4.0 continues with the impressive announcement from Zhejiang University unveiling a revolutionary digital platform for virtual twins. This innovative system, called Novel Generation Modelling (NGM), promises to transform industries by providing accurate virtual replicas of physical systems. These digital twins enable the optimization of operations, increase productivity, and fuel innovation in previously unexplored proportions. By seamlessly integrating complex data flows and models from multiple sources, the NGM solution dazzles with its versatility and robustness, addressing current challenges in technological integration.

In a major advancement for industrial technology, researchers at Zhejiang University have unveiled a revolutionary digital twin platform designed to transform the process industry. The New Generation Modelling (NGM) system, unveiled on September 3, 2024, creates highly accurate virtual replicas of physical systems, allowing companies to optimize their operations and stimulate innovation in unprecedented ways.

As Industry 4.0 accelerates the demand for digital twin technologies, the NGM platform addresses the challenges of integrating complex data flows through an accurate and scalable modeling environment. Based on the open-source language Modelica, it features eight integrated modules to model chemical, electrical, thermal, and fluid systems. This project, supported by national research programs, promises to enhance efficiency, safety, and sustainability across numerous industrial sectors.

discover how the virtual twin is revolutionizing industry 4.0 by optimizing production, reducing costs, and improving decision-making through advanced digital simulations.

An innovative digital platform for Industry 4.0

Researchers at Zhejiang University have recently unveiled a revolutionary platform in the field of Industry 4.0. This digital twin platform aims to transform industrial practices by providing highly accurate virtual replicas of physical systems. This technological advance, named NGM – New Generation Modelling System, promises to optimize operations, enhance productivity, and stimulate innovation in a way that has yet to be explored.

With the rapid rise of Industry 4.0, the excitement for digital twin technologies has reached new heights. However, integrating complex data flows and models from various sources has always posed a challenge. Through the use of Modelica, an open-source programming language, this new platform addresses these issues by providing a modular and scalable framework capable of effectively modeling chemical, electrical, thermal, and fluid systems.

Advantages and implications of the new technology

The NGM platform offers a series of considerable advantages for various sectors, ranging from chemical plants to energy production facilities. By enabling predictive maintenance and continuous real-time monitoring, this innovation reduces service interruptions, lowers operational costs, and limits environmental impact. As industries advance in their digital transformation, these cutting-edge technologies set new standards in smart manufacturing, making production units safer, more environmentally friendly, and remarkably efficient.

Long-term potential of digital twins

The introduction of NGM represents an ambitious step towards a brighter future for industrial automation and control. The repercussions of this advancement extend beyond simple current industrial applications. By making digtial twin technology more sophisticated and widely accessible, it could lead to breakthroughs in sectors such as urban planning, healthcare, and environmental management. The ability to create complex virtual replicas opens new perspectives for testing scenarios, predicting outcomes, and making informed decisions in various situations.

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