What is a Digital Twin?
Itis a virtual image of a physical object, system or process. It is an exact digital replica created by collecting and integrating data about the real object. This data can come from a variety of sources, including sensors integrated into the physical object, historical data and real-time data streams.
A digital twin has the following main characteristics:
- Virtual representation: it represents the physical object in a digital format, often in 3D or as a detailed model that includes all the relevant features and functions of the original.
- Data collection and integration: He continuously collects data from the physical object. This data includes information such as operating conditions, performance, condition and environmental influences.
- Analysis and simulation: With the help of the collected data, itcan be used to carry out analyses and simulate scenarios. This makes it possible to identify potential problems at an early stage, carry out optimisations and make decisions based on sound data.
- Feedback loops: Bi-directional communication between the physical object and its digital twin allows changes and adjustments to be made in real time. This leads to continuous improvement and customisation of the system.
The areas of application in Industry 4.0 are diverse and include the manufacturing industry, healthcare, urban planning, the automotive industry and the energy sector. Examples include the monitoring and maintenance of machines and systems, the optimisation of production processes, the improvement of patient care and the planning of urban infrastructures.
The Role of the Digital Twin
The Twin is created long before the end product is physically available. 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 a service call, 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.
Innovative Technologies for Digital Twins
Not all digital twins are the same: digital images can be created from any data. To create a 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 promote innovation and performance.
invenio Virtual Technologies: Pioneer in Digital Twins
invenio Virtual Technologies (invenio VT) specialises in digital twins based on 3D data, making it one of the leading providers of DMU software for the twin in digital product development. Among other things, VT technology monitors it for quality and change. One of the biggest advantages of the 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 twin.
Quality Control and Change Management
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 collision-free in accordance with the requirements using virtual geometric validation. 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's technology guarantees future-orientated and intelligent handling of mass data.
