Lifecycle in view
Monitoring of a product’s entire lifecycle — from commissioning to long-term maintenance.
Innovations · Digital Twin
The virtual image of your plant.
A digital twin is the virtual software image of a real, existing system. The virtual counterpart has identical properties, receives sensor data in real time and thus precisely reflects the current actual state at all times.
Definition
Real and virtual worlds — connected.
A digital twin is a virtual software image of a real, existing system. This virtual counterpart has the same properties as the real object, whose sensors deliver information to the virtual image in real time — so that it reflects the current actual state of the real system at all times. With the twin, the state, properties and behavior of an underlying object can be visualized, analyzed and adjusted. The entire lifecycle of a product can be represented — it connects the real world with the virtual one.
The advantage
Relocate digitalization.
Comprehensive simulation and test functions at the virtual level make it possible to continue implementing digitalization not only on site but also in the office. This prevents disruptions in production, delivers significantly higher software quality and enables sustainable, long-term maintenance of the software directly on the digital twin.
Goals & tasks
What you can use it for.
- Direct access to production machines in live operation
- Provision of extensive analysis and simulation data
- Production simulation
- Control of order processing
- Analysis of the manufacturing process
- Virtual commissioning
- Facility management and maintenance processes
- Simulation and monitoring of energy management
- Simulation of individual production machines within the overall process
The benefit
Detect problems before they arise.
Early detection
Problems are understood and addressed before they occur; product defects are caught by the simulation rather than only in operation.
Higher quality
Working on the virtual image delivers significantly higher software quality and reduces production disruptions.
Lower costs
Significantly lower production costs thanks to the provision and analysis of real-time data within the runtime environment.