Obtaining a flexible and scalable digital twin model, which allows validating new production scenarios without altering the existing manufacturing process.
Make more confident decisions based on reliable real-time data, dramatically improving the success of new investments.
To have a platform that can be quickly replicated in other production centres and other sectors, facilitating the expansion of its functionalities based on the needs of the process in a fast and simple way, with a quick return on investment.
Experience the capabilities of technologies based on the Internet of Things (IoT), Artificial Intelligence (AI), Advanced Analytics and Big Data.
The Legato Sapient MES system provides all relevant real-time data for the Digital Twin, such as machine status, order information, asset positioning and process values. Current data is collected in real time via a gateway and visualized through the Legato Sapient web front-end.
IoT4DigitalTwin platform and virtualization of the production process.
Reporting module with customized reports and real-time graphics.
Increased efficiency and productivity of the different operations.
Reduction of operating costs.
Ability to aggregate and display production data in real time.
Ability to observe the historical and current profile of the process behavior.
Real time positioning of the operators.
Real time monitoring of the production process.
Virtualization of the process.
Make decisions avoiding production stoppages.
Ability to test modifications without introducing changes in the plant.
Optimize logistics and production parameters.
Reduction in the use of printed documentation.
Better calculation of KPIs and reporting in real time.
Continuous improvement of the production process.
“The IoT4DigitalTwinprojectdeveloped in consortium with Geprom andGefasofthas allowedus toincorporate the most advanced technologies of Industry 4.0, is bearing fruit and is a step towards boosting our competitiveness and efficiency.“
Head of Innovation of Celsa Group
CELSA Group will build a “Digital Twin” with which it will be able to predict the different flows of production processes, make decisions and correct errors before they happen. This virtual factory will be possible thanks to technologies based on the Internet of Things (IoT), Big Data, Artificial Intelligence and Cybersecurity.