Users can quickly and easily select the desired series from existing data series (e.g. different motors within a machine) and also combine different data series with each other (e.g. current consumption of a motor and temperature). To ensure a quick graphic evaluation, the data series can be displayed in all known graphic formats. This way, you can easily identify lots of correlations in a rapid manner by using trend processes. It’s also possible to record regular production statistics, e.g. weekly reports on output and downtimes of different machines within a production area. The forwarding of reports to the relevant distribution list can also be controlled directly from the app.
The Reporting App obtains its data from the data sources (applications) required for the report by calling up the corresponding GET endpoints exposed by the data sources. The data is then visually processed by the chartJS Library in diagrams and tables. To make the reports available to the user, the microservices schedule and notification are integrated later on. Based on the schedule used, you can create reports at fixed intervals and have them prepared as HTML, Excel or PDF files. Users receive a notification and a link to the reports.
The platform: Digitalize out of the box.
The development environment: Create individual solutions.
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