Since the test datasets were varied due to the large numbers of different valve models and associated test procedures, a database was created using a platform based on the Resource Description Framework (RDF). An RDF database can accept arbitrary types of data, manage that data through metadata tags, and adjust gracefully to changes in content and shape of the connections between objects in the database.
This adaptability was key to our client being able to leap past some of the issues in standard SQL-based relational databases.
The results from each test run on each part at each (PXI-based) test system were tagged with metadata and pushed into the RDF database. The StepWise platform interfaced to the RDF database by outputting XML content which was scanned by a routine created for the RDF database and converted into the RDF data and links. The part ID was a critical tag since this allowed searching the RDF database for all results associated with that specific part. This database resided on a server at the client’s headquarters and accepted data from worldwide locations.
Once the data for each part was housed in the database, a report could be generated. To accommodate the variety of data in that report, web technology was used to render the report pages based on the types of data entered into the database, as described by the metadata tags. For example, data identified as waveforms could be plotted or listed in tabular format. Having reports rendered based on the data types made it possible to handle adjustments to the types of data measured by the test system.