Project
In RIS countries, where the digital and green transformation of SMEs, from the automotive to the wood industry is the key to development, digital twins are able to pave the path for enterprises to bring the benefits of digital data onto physical assets.
From product design to marketing and sales, and even after-sales, enterprises are taking bigger risks than ever before. Solutions in DigiTwinGreen offer enterprises an approach to achieve the objectives of their digital transformation programs, energy-saving and green transformation. However, SMEs in RIS countries are often facing a low level of trust, and often unpredictable environments, which can be a barrier to adopting new technologies and assure faultless and connected production. Therefore, a TLF-based simulation and development, a data-secured environment where they can safely map their own company data can be a driver for digital transformation. 6 RIS countries will be addressed by open call and digital twinning services.
DigiTwinGreen activities address:
simulation and development of TLF-based environment for digital twinning in RIS countries. Development of a simulated environment that combines real-time information to enable enterprises to experience a virtual representation of machines and processes. This will simplify the physical simulation of mechanical processes and enable near real-time processing by means of digital twins. The goal is to support companies in leveraging vast amounts of information by applying digital twins to enable diagnostic, prognostic, and maintenance capacity.
new business model that utilizes Machine Learning (ML) for developing models that receive real sensor data and simulated data from the digital twins. Such a coupling of data-driven and physical approaches will significantly increase model accuracy. The aim is to provide real examples of ML applications and stimulate the users in finding use cases and scenarios.
human-centered approach, which facilitates the role of human operators and professionals in the production loop. The project aims to identify ways to help them become more competitive and agile. To ensure an open-source, cross-learning, and information-sharing environment, digital twins will be used to keep information secure and safe. The simulated environment will be used in learning sessions and workshops to help companies understand how these tools can be used and which is the value that they produce.
switch to green production by proposing a recycling module for TLF that displays real-time data and analysis to reduce waste. The goal is to significantly improve the energy balance of production.
DigiTwinGreen expected outcomes:
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A resilient operational framework for intelligent digital twins;
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Encouraged introduction of new technologies: encouragement of the introduction of ML tools in SMEs by proposing them a real solution example;
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Ensure a valuable trove of distributed industrial data to be used to model intelligent digital twins across industrial value chains on the cloud and on edge;
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Humans’ better engagements: the users can touch with their hands the simulated system and provide feedback. These aspects should increase the level of the proposed ML solutions to the companies by collecting the requirements immediately. The developed system will be used for teaching purposes to generate a better understanding of the ML applications. This aspect increases the level of specialization of the operators and allows them to provide feedback on the process;
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A better and clear understanding of business processes and relations: rapidly available extra data from agile production, growing up the decision processes in agile production, information demonstration in AR with mobile devices and with head-mounted devices;
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Reducing knowledge gaps within the company by virtualizing the factory, production line, and individual assets all the way down to sub-asset or even parts raise the level of competitiveness.
Consortium
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