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DEVELOPMENT  SIMULATION AND TEST





                                                                     Expected  only use high-sampling during the 1 ms
                                                                     Measured  event and for example 1 Hz sampling at
                                                High resolution               the rest of the time, only 10 kByte of data
                                                                     No error  will be produced, reducing the amount
                                                                     Error    of data by seven million times.

                                                Pretrigger  Posttrigger
                                                                     Tube*    BIG DATA ANALYSIS
         Signal         Low resolution      Max.                              By combining this procedure and log

                                             Min.                             viewing capabilites, a quick and simple
                                                                              navigation of the test data is ensured.
                Max.
                                                                              RTStand integrates all this natively and
                                                                              through complementary products for
                Min.                                                          validation: Tube Analyzer – as the
                                                                                measurement and analysis unit – and
                                                                              RTStand LV 124 – as a fully-automated
                                                                              testing solution.
                                          Time
                                                                              INTEGRATION OF CLOUD
         *Tube defines the limits and the time interval, during which the limit analysis of the measured signal is performed  SOLUTIONS

          FIGURE 2 Schematic visualisation of adaptive logging for Big Data (© WKS)  The connected car needs intensive data
                                                                              communication, as explained above.
                                                                              RTStand integrates plugins for various
                                                                              Industry 4.0 needs, such as data saving
           If you try a comparison of different   it describes various testing scenarios for   into and visualising from cloud
          test levels from the subfields of system   car components and the way they must   technologies.
          testing, design verification, product vali-  behave under specific circumstances.  Comparing the efficiency between dif-
          dation, end-of-line testing and prototype   Having the purpose of detecting even   ferent test benches can be an important
          testing, there are, from the author’s point   the slightest failures in a signal and   aspect while testing various car compo-
          of view, similar issues and therefore also   requiering a sampling rate of 100 kHz for   nents. Each test bench can correspond to
          similar solutions.                all tested signals, the LV 124 produces   a specific component and through cloud
                                            huge amounts of data that need to be   communication their interaction can be
                                            analysed. Assuming that such big testing   observed and improved.
          OPEN TESTING PLATFORM
                                            resources are available, finding the one
          Using National Instruments technology,   short sporadic error of 1 ms will be a   RADAR ACCURACY
          WKS Informatik GmbH developed the   challenge.
          RTStand platform for testing integrated   This idea drove WKS Informatik to   As much as we as humans rely on our
          ECUs throughout all test levels from proto-  develop an adaptive logging process for   senses to navigate through the daily city
          typing to end-of-line tests. RTStand com-  analysing data on-the-fly and thus   jungle, so do autonomous vehicles rely
          bines the functionality of a traditional HiL   reducing the amount of data produced.   on the accuracy of their sensors. A vehi-
          system with those of a real-time auto-  This not only saves IT resources, but   cle must be able to react at speeds of
          mated test equipment (ATE) and uses   also enables a much faster data analy-  even over 150 km/h. So vehicle sensors
          methods of data reduction, for example for   sis, through much easier data   must work more accurately than human
          the minimisation of log data. In addition   navigation.             sences.
          to that, RTStand provides a powerful tech-  As shown in FIGURE 2, it is possible to   RTStand integrates radar target simu-
          nique of data navigation, to examine rela-  determine expected values like limits or   lation solutions for both 24- and 77-GHz
          tions between test result, test report and   envelope curves for the signals to be   radars, characterisation and chirp analy-
          actual values measured in timing dia-  tested. These curves are used at runtime   sis tools for radar, which are used exten-
          grams – with the emphasis on finding   in order to determine whether a signal   sively in hardware development and end-
          relations, instead of only searching.  behaves as expected under given condi-  of-line testing, FIGURE 3.
                                            tions. In a good case, the signal will be
                                            logged with a reduced rate – the only
          THE NEED FOR ADAPTIVE LOGGING                                       ONE PLATFORM TO RULE
                                            interesting information here being the   THEM ALL
          In order to insure components reliability,   approximate signal trend- In a failed
          OEMs have to fulfil various norms. The   case, the signal will be logged with the   WKS Informatik integrates all the above
          LV 124 (and its related norms VW 8000,   highest rate (for example 100 kHz).  solutions and concepts into its RTStand
          ISO 16750-2 etc.) is one of the most   Let us take an example where 15 min   platform, providing one solution for
          important norms for automotive valida-  of usual logging produce 71 GByte of     testing from early prototyping, until the
          tion. Developed by the German OEMs,   data. Using adaptive logging, which will   end-of-line. Because as an OEM you have
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