Design

Data acquisition software's offline operation is expanded

1st October 2015
Barney Scott
0

IPETRONIK has announced that it will provide for download the IPEmotion Release 2015 R2 of its data acquisition software. The company extends the offline data analysis operation with the new version, including the triggered performance of operation sequences, statistic operations for an easy calculation of common statistic values such as min, max, average value, RMS etc. and an operation for searching events, which are able to perform analyses event-oriented.

The analysis tool box provides a 3D instrument, in which the user can upload CAD models to embed the data analysis graphically in the model as well. The 3D objects are based on STL files, which are generated by CAD programs. The 3D instrument is able to view graphical indicators like arrows, lines etc. in the 3D object. The data analysis now supports the import of ASCII-CAN and CAN-FD traffic files.

The ASCII files can be analysed in IPEmotion and can also be converted into signals again with the matching CAN-DB description files. For simulating bus traffic measurements, the traffic files can be played again using the traffic generator.

In the field of measurement data acquisition, IPETRONIK has extended the CAN traffic bus analysis by a new instrument for the CAN traffic export – the “message generator”. The messages can be easily imported out of CAN-DB description files or also individually manually created. The instrument sends messages in defined cycle periods from milliseconds up to several seconds or event-triggered by the user.

Using this instrument, the user is able to send messages specifically to his CAN network and perform simulations. Therefore, IPEmotion now provides the basic tools for CAN bus stimulation (polling) and CAN bus traffic analysis. Moreover, in the field of measurement data acquisition, the import of description files such as DBC and A2L has been optimized. The user is now able to automatically select individual signals, messages and the sampling rate in the import process with a multi-column CSV import filter.

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