Endian

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.

J.A. Becker & Söhne is a medium-sized German company, that always prioritizes quality and safety. In their old model, a technician travels regularly to the customer’s location to service the compressors. For the international customers, trained service partners assume this regular maintenance role. In case of an issue between the service visits, there is a service hotline at the customers disposal, that is able to solve most of the failures. In cases where the hotline cannot solve the problem remotely, a service technician is sent to the customer. With customers all over the world (including China), this support option is quite time-consuming and very expensive.