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Mensch und Maschine Schweiz AG

Stand: B07
Training and education
Operating, monitoring, visualization systems
Smart factory
Engineering and system integration, plant construction
Industrial software and IT
Industrial safety & security
Industrial Electronics
Digital transformation
AI & machine learning
Sustainability in automation

Digital Twin

Digital twin

In the field of design: virtual evolution instead of prototyping

During the development phase, the digital twin acts as the machine’s digital brain. It replaces time-consuming physical iterations.

Design & specification:
Engineers test geometries and weights directly on the CAD model. Changes are immediately incorporated into all calculations.

Multiphysics simulation:
Fluid flow, thermal behaviour and mechanical loads are simulated realistically. Weak points are identified before the first milling operation.

Fewer physical prototypes:
Expensive preliminary models are almost entirely eliminated. The machine undergoes digital stress tests on screen.

Optimisation within the model:
Control programmes (PLCs) are virtually integrated. The interaction between software and mechanics is perfected in advance.

In operation: The transparent live machine

During operation, the digital twin is fed with real sensor data. It becomes the central tool for operating and maintenance staff.

Asset information at your fingertips:
All manuals, circuit diagrams and certificates are directly linked to the digital component. There is no need for lengthy searches through folders.

IoT dashboards & insights:
Live data such as temperature, pressure or vibration visualise the current status of the physical machine in real time.

Virtual tour (VR/AR):
Technicians carry out a virtual inspection of the plant. This assists with remote maintenance or when preparing for work in hard-to-reach areas.

Optimisation during operation:
Algorithms test parameter changes (e.g. cycle times) on the digital twin first, before they are applied to the actual machine.

Alarms & ticket systems:
Exceeding threshold values automatically triggers a ticket in the maintenance system. The technician can immediately see which component is affected.

Tasks directly on the model:
Service orders are visually marked and assigned on the 3D model. Progress is clearly visible to all teams.

https://www.mum.ch/loesungen/digitaler-zwilling
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