Industrial automation components are subject to wear, that can lead to lower efficiency and performance, increase of energy use or even the complete failure. Predictive maintenance technologies can determine when maintenance should be performed and can provide cost savings over traditional time-based preventive maintenance, because tasks are planned only when necessary.
Camozzi Coilvision technology provides valve islands and pressure regulators with a comprehensive solution for monitoring their operating status. Each of these Camozzi smart components is able to self-diagnose its health status with the embedded electronics, giving as an output this information already refined, together with alarms, warnings and other “traditional” information regarding power consumptions, operating temperature, voltage levels etc.
The elaboration of the predictive data is fully integrated in the electronic boards inside the components, based on the patented algorithms embedded in them, and can be sent to the cloud or to the local network.
With smart connected pneumatics and edge computing operators can obtain useful insights without the need for big data infrastructure, and very quickly OEMs and end users can reduce costs, increase efficiency, productivity and energy consumption.
Key Learning Objectives
- Remote and predictive maintenance solutions
- Digitalisation enabling technology
- Industrial IoT
