There are no limits to the processing, visualisation and diversity of the data sent. For example, cycle and process times can be visualised in real time. The results obtained in this manner can be used to increase the efficiency of the machine. In addition, the Process Data App also facilitates machine operation, since the exact status of the machine is known at all times thanks to the data collected. This enables the machine operator to intervene quickly and purposefully in the respective process.
The Process Data App shows users real-time data classified by location and the type of machine. The app consists of an angular frontend and uses the two microservices gb-identity-server-api and gb-app-machine-data-manager-api. The secure collaboration of the user interface and microservices is ensured by a JSON web token mechanism, which is taken over by a microservice of the identity server. The communication between the user interface and the Machine Data Manager is done via a RESTful API (retrieval of historical and qualitative data about the machine) and a full duplex communication channel with SignalR library. This way, real-time data can be assigned to each machine.
The platform: Digitalize out of the box.
The development environment: Create individual solutions.
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