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Yokogawa Electric Corporation announced that it has developed Process Data Analytics R1.02 software as a solution in Yokogawa's OpreX Asset Operations and Optimization family and will release it in November.
Utilize the Mahalanobis Taguchi (MT) method, Process Data Analytics is a software package that can detect quality and productivity issues early on in the manufacturing process by analyzing data on processes, facility status, and operation history. Process Data Analytics R1.02 includes new functions for the import of data from plant information management systems (PIMS), configuration of data display settings, and capture of graph data that improve data analysis and shorten the trial-and-error cycle.
Features of the new version of Process Data Analytics include:
Import of data from PIMSs that support the OPC standard
At plants all over the world, a wide variety of data-gathering systems from different vendors are in use. For effective analysis, it is important to be able to access all the data collected by these systems. The Process Data Analytics software runs on Windows PCs and accesses files from PIMSs, DCSs, and PLCs that have been converted to CSV format. The new version comes with an OPC historical data access (HDA) interface, which is the global standard for data exchange in industrial automation and other industries. Thanks to this feature, the software can easily import data from PIMSs that support this standard.
Improved operability
To make it easier to analyze data, the software enables the overlay of multiple process data charts. Settings such as the data start-point and the display colors can also now be easily modified depending on the manufacturing conditions. Benchmark tests conducted by Yokogawa analysts have shown that these features enable an 80 percent decrease in data analysis time.
Analysis results capture/sharing
To facilitate the exchange of data analysis results among engineers, the new version has a new function that enables engineers to capture graphs showing their analysis results and paste this data into any general-purpose reporting software. This eliminates the need to reproduce these graphs and allows analysts to focus their efforts on studying and discussing analysis results.