Digital Twin
Efficiency and Sustainability with the Digital Twin
The demands on digitalisation and digital product development are constantly increasing due to ever shorter development times and a growing number of variants. In order to cope with this complexity and accelerate the entire development and production process, digital twins are becoming increasingly important. The use of virtual models makes the development of complex systems more efficient, while at the same time enabling companies to significantly improve product quality and thus increase their competitiveness. The challenges that need to be mastered in the future include consistent development in 3D and effective processes in a heterogeneous system environment.
A digital twin is a digital image of a product, a process or a system. The digital twin is created long before the end product physically exists. The prerequisite is a perfectly structured database in the PDM system, in which all existing information such as product structures, 3D and metadata is stored. The digital twin accompanies its real counterpart until it is scrapped. In the event of servicing, the required information can be taken directly from there. Any problems are documented in the digital twin and can be used as a knowledge base for all products that have the same parts installed.
Not all digital twins are the same: the digital images can be created from any data. To create a digital twin, for example, real-time data is processed using software analyses and artificial intelligence. The data collected with sensors can then be used to generate a twin that can accurately predict how the products, processes or systems will function. This has become a basic requirement in modern, digital product development and is used in the automotive and aerospace industries, among others, to drive innovation and performance.
invenio Virtual Technologies (invenio VT) specialises in digital twins based on 3D data, making it one of the leading providers of software solutions for the digital twin in digital product development. Among other things, VT technology monitors it for quality and change. One of the greatest advantages of the digital twin is its advanced analysis, monitoring and forecasting capabilities. We are happy to support you with your individual requirements and use cases. Numerous customers rely on invenio VT's many years of experience. VT combines flexible technology and intelligent algorithms with the digital twin.
invenio VT often works for and with product developers. Many customers have their own individual visions, develop or design products themselves and use them to build their digital twins. In the background, the VT software uses the 3D data to check whether the product can be built in accordance with the requirements, e.g. without conflict. Powerful algorithms also calculate big data in the shortest possible time. Intelligent rules sort and prepare large volumes of data, while open interfaces ensure consistent processes. As a result, invenio VT and its technology guarantee future-orientated and intelligent handling of mass data.
Advantages at a Glance
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Increased efficiency in the simulation of digital twins
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Better product quality at an early stage thanks to First Time Right
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Optimisation of product life cycles
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Cost reduction and resource optimisation
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Risk minimisation through precise analyses and hedging
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Contribution to the digital transformation of the company
Functionalities and Features of Digital Twins in General
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3D modelling and visualisation
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Real-time data and monitoring
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Analysis tools and simulation options
Application Areas of the Digital Twin
Automatic Safeguarding of the Physical Future
In addition to the data, the digital twin also includes all the simulations required to safeguard a product. Each virtual product is checked for consistency in a completely digitally mapped production plant, including all robots and tools. This enables immediate intervention in the production process if necessary - both virtually and in reality. Ideally, data from use, such as sensor data or empirical values, is also fed into the digital twin. This "simulation model of future production" leads to enormous cost and time savings, as the production of physical prototypes could be completely eliminated in the future.
Digital Mock-Up (DMU)
The simulations also include DMU, because a digital twin is inconceivable without DMU. With its modular VT-DMU software toolkit, invenio VT provides an important building block for enabling the digital twin. The high-performance algorithms can be used flexibly in the various phases - in product creation or development, in product configuration or in service.
Frequently Asked Questions about the Digital Twin
A digital twin is a virtual replica of a physical product, object, process or system.
In contrast to static simulations, the digital twin enables detailed real-time simulation and interaction.
Data from sensors, IoT devices, production facilities and other digital sources are used to create digital twins.
The digital twin is increasingly being used in industries such as manufacturing, automotive, aerospace and energy.
The digital twin can help companies to use resources more efficiently and optimise processes, which contributes to sustainability. No or significantly fewer hardware prototypes are produced.
The digital twin plays a central role in Industry 4.0 by supporting the digitalisation and networking of production facilities.
Data protection concerns can arise, particularly with regard to the security and use of sensitive data for the digital twin. Feel free to contact us and we will provide you with the appropriate solution to keep your confidential data safe and secure.
Companies need to ensure that their digital twins have access to accurate and up-to-date data sources, e.g. by regularly updating data.
A clear data strategy, suitable technology infrastructure and expertise are required to successfully implement the digital twin. We are happy to advise and support you.
The digital twin enables all companies to react more flexibly to changing market situations by providing real-time data and analyses.
Challenges in the integration of digital twins can include technical complexity, data quality and interoperability. With our decades of experience in this area, we offer solutions for various use cases and applications.
The digital twin can improve this collaboration by providing a common platform for real-time data and analyses that all users can access.
Small and medium-sized companies can utilise the digital twin by taking advantage of scalable solutions and consulting services. We are happy to support you.
In the further development of digital twins, developments such as advanced AI analytics, improved interoperability and the integration of VR/AR are to be expected in the coming years.
Would You Like to Find out More about Digital Twins?
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