The ENEXSA Data Processing Service (DPS) platform is a comprehensive suite of functional modules that enable the configuration, testing and implementation of complex procedures for online data from a wide variety of sources.
If a detailed physics-based model or other digital twin is fed with online data, the calculation can only produce valid and correct results, if the input data are COMPLETE, CORRECT and CONSISTENT.
The modular design and user-friendly graphical user-interface of the DPS platform enable the user to configure complex workflows including various pre-and post-processing steps, and to test and debug the entire workflow without any coding or in-depth IT knowledge.
Equipped with a modern web interface, the DPS allows for building the sequence of process steps from individual ‘unit operations’ to be placed on the flowsheet and connected by simple mouse clicks.
The calculation flow can be triggered based on user-defined points of time or time intervals, or event-based by ‘watch-dog’ criteria applied on one or several online signals. Various types of data sources can be linked to the process with modules based on published API information or standard communication protocols.
Configurable modules for range and steady-state checking as well as logical operators make sure that only valid inputs and reasonable replacement values are processed, or that the calculation is skipped if essential inputs are faulty or missing.
The actual calculation process begins with the mapping of the signals to the model parameters, which may also include side calculations defined in C# or Python or variable type transformations. These parameters are then fed into a Calculation Job module that manages the execution of the simulation model.
Once the results of a job are returned to the processing scheme, the post-processing steps may involve further logical checks and customized calculations before they are mapped to output signals and written to one or several target data repositories.
– Miguel Prokop, Manager Software Engineering
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A user-friendly toolbox with functional modules to build complex processing for online data.
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