Predictive maintenance refers to techniques that help determine the condition of in-service equipment in order to predict and/or optimize when maintenance should be performed. Predictive maintenance is one of the most important benefits of the Industry 4.0 revolution. 

The original idea was about finding an easy yet effective way to demonstrate how Industrial Internet of Things can disclose amazing opportunities about networking, devices and data management.The main objective of this nerdy project was clearly to showcase how Endian solutions could be integrated with an industrial environment made up of machinery and PLCs.To achieve our goal we needed a mini-factory, which could show in real-time both a whole production process, and Endian integration with the data provided by the mini-factory itself.

Connect diagnostic equipment located in hospitals and laboratories to insecure LAN segments for remote monitoring and predictive maintenance.

University of Udine is a college committed to the highest education standards, research, interaction with surrounding territories. The collaboration with Endian brought its technological vocation beyond the academic field to translate into a project aimed to protect and safely manage accesses to electrical and thermal control systems, access control and video surveillance.