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Digital Twin

A Loire Gestamp service for virtual representation of presses and lines in a simulation environment

The software that guarantees accurate simulation

Loire Gestamp Digital Twin virtually replicates the press or stamping line, covering its entire life cycle. From commissioning to service. Software-in-the-loop (SiL) reproduces the real system and models all peripherals, including security components.

We have 3 software connected to each other to guarantee an accurate simulation of the system:

  1. Software that simulates all fieldbus peripherals, including safety components.
  2. Software that emulates real system behavior using logically and physically accurate models.
  3. Software for system visualization that allows users to view the model and interact with it in a realistic environment.

Digital Twin Features

Remote training

The Digital Twin is a powerful tool for remote training for clients and internal training for technicians. It allows you to see the HMI screens of each press and with it 100% of the equipment, both from the point of view of the operator and the machine.

Virtual commissioning

Carrying out a virtual start-up allows

  • Adjust and validate control systems without having to set up a real installation.
  • Reduce time and risks in the development and launch processes.
  • Save time and reduce costs, guaranteeing 100% security.
  • Test and verify the function of new developments.

Fault diagnosis

It detects possible press failures and enables us to compare the digital model with the real one, so that we can diagnose and resolve the problem or incident. We achieve a diagnosis that avoids the costs of on-site visits by technicians.

Benefits

  • Parallelize the design phase and implementation, anticipating errors and identifying solutions.
  • Reduce start-up time in final installations.
  • Training for operators and maintenance personnel prior to delivery of the press.
  • Offer a completely practical training tool without interrupting the production of the asset.
  • Better quality of the software and internal self-learning of the operators at the beginning of the start-up of a new machine.

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