Maintenance has become a key element of Industry 4.0, thanks to the ability to manage a large amount of data coming from production lines in real time.
Our solutions are based on Industrial IoT, edge computing, SCADA and they ensure a continuous and real-time monitoring of the assets, sending notifications to the operators.
Furthermore, thanks to big data management platforms, analytics and machine learning we are able to implement predictive maintenance solutions in order to check on machines’ operations, their health status and evolution. Moreover, this allows us to associate machine’s data with data coming from the external environment.
Thanks to the newly available data it’s easier to let maintenance become proactive and productivity-oriented in order to increase plant’s production capacity as well as respecting the balance between maintenance costs and general efficiency of the plants involved.
This new approach is based on Industry 4.0 principles as it focuses on predictive maintenance in order to cut-off unnecessary operations. Resources can now be focused on predictive maintenance operations that prevent machines’ breakdowns, as well as long and expensive stops.