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Deriving key figures, set up mass and energy balances, evaluate the quality of measurements, calculate efficiency ratios, forecasting resource consumptions, allocate CO2 emissions, finding optimisation potentials and bottlenecks, for different operation states and various assessment periods.
For many engineers, these are daily and at the same time tedious tasks. Tedious, because many steps are necessary between raw data in the data acquisition system and the desired results. And these steps are very time-consuming in the conventional way - directly in the data acquisition or after export into a spreadsheet.

Find 100 MB data in the DropBox and say something useful about it just one hour later? Synchronise measured values with different date intervals? Combine process data from different files? Set up balances with raw values? Determine densities, energy contents, efficiencies?
All this becomes a child's play with OpenPi.Web. Because we realise that every plant, every automation system and every operating data acquisition system is different. Engineers therefore need – in terms of "data technology" – less specific SQL, Python and statistics expertise, but rather a tool that already can do this. With a powerful import, the right calculations in place, a clean, fast visualisation, backed up by a powerful dataserver.

Process data can be available in many different ways: as raw values or average values with regular intervals or as single values, in SI or non-SI units, in the gas phase for dry or wet conditions, (e.g. O2) corrected or not, as gauge or absolute pressure. And in virtually unlimited quantities. It is clear that fast and secure access to the process data is a prerequisite for being able to work with it properly.
This is made possible by a professional OpenPi data server with the necessary databases and associated I/O functions, on which process data can be easily stored and retrieved. Without having to export it beforehand.