The digital twin, definition
A digital twin is a virtual representation of a physical object, created using Artificial Intelligence-based computer models and real-time data. This is enabled by computer-aided design (CAD), among other means.
Enhanced with a layer of machine learning (machine learning), the digital twin constantly improves itself according to the real data it receives, and in turn adapts and optimizes the production processes of the industrial lines it controls.
Digital twin technology is increasingly used in fields such as engineering, logistics and healthcare. It can also be used for predictive maintenance, monitoring and optimizing the performance of machines and equipment.
This digital twin concept is a key element of industry 4.0.
How does a digital twin work?
Collecting and exploiting real data, from the "physical world" and real operations.
Within a "virtual environment"
To know, act and optimize "real functioning".
The digital twin is updated in real time as data is collected on the physical object or process it represents, in the real world.
The digital model can be used to run simulations, investigate performance issues and generate possible improvements, all with the aim of harvesting valuable information, which can then be applied to the original physical object and aid decision-making.
Why call on our teams for your digital twin project?
We adapt to your challenges, your level of maturity, the level of intelligence expected, the variety of your data or even your budget.
Our experts offer you digital twin solutions, tailored to your needs. We offer a choice of "Starter", "Booster" or "Premium" support packages. These will cover multiple use cases and combine several of Equans Digital's expertises.
3D scan / BIM models
Automation / Control / Command (SCADA) / Supervision / Manufacturing Execution System (MES)
Robots (fixed and mobile) / Cobots
Instrumentation / Interfaces / interoperability / Dashboards / Monitoring screens (HMI)
Framing use cases / Datasets / Algorithms and predictive models (AI)
Training simulators / Digital mentoring
Equans Digital, a global offering
The digital twin, a virtual tool with real benefits
The digital twin in industry is a powerful tool that offers many practical and economic advantages, enabling companies to design, develop, test and optimize products and processes faster, more efficiently and more economically.
Reduce costs and lead times
Reduce costs and lead times
Quality improvement
Quality improvement
Performance optimization
Performance optimization
What are the different types of digital twins?
-
- Digital product twins are virtual models of physical products, such as cars or equipment. They can be used to simulate the behavior and performance of products under different conditions, and to test design modifications before they go into production.
-
-
- Virtual models of industrial processes, such as production or maintenance. They can be used to optimize processes and simulate the effects of process changes before they are implemented.
-
-
- Virtual models to monitor and optimize the performance of equipment, machines or systems in real time.
-
-
- Virtual city models that enable city managers to simulate and plan different urban development scenarios. They can be used to optimize traffic flows or plan infrastructure.
-
-
- Virtual models to simulate customer/employee behavior, preferences and reactions in different scenarios.
-
What's the difference between flow simulation and digital twins?
Flow simulation is a short-term analysis and planning technique for optimizing existing processes. The digital twin, on the other hand, is a long-term monitoring and optimization technique for improving the performance of physical objects.
The two techniques can be used together to optimize the performance of a production system as a whole, using flow simulation to plan the organization of processes and using the digital twin to monitor and optimize equipment performance throughout its lifetime.