A widely used standard for the persistent storage of measurement data is ASAM ODS. Automotive manufacturers and suppliers use it primarily to set up comprehensive data management solutions for different measurement systems and data formats. In this way, they make test data usable in the long-term, regardless of the tools of individual vendors. Generally in such solutions, the search for certain measurements bases on descriptive information, the so-called metadata.
To gain more information from the existing measurement channels, Peak Solution has developed the Peak Advanced Search.
Continue reading “Peak Advanced Search: Gain more information from the existing measurement channels in ASAM ODS”
Peak Solution provides an extension for Peak ODS Server (PODS), which is suited for accessing and processing measurement data stored in Parquet files. In its latest technology proposal for Big Data, ASAM has recommended this format as appropriate for storing mass data.
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Big Data in the field of automotive testing is mainly about the analysis of huge amounts of data that result from a wide range of test benches and driving tests. The aim is to identify new patterns and correlations in these test data in order to describe a complex system of different components and to predict the future behavior of this system. In this way, e.g. it is possible to gain important insights for the development of new simulation models and to achieve considerable savings in the execution of cost-intensive tests. Among other things, the basis for this are tools for Data Mining, Predictive Analytics or Machine Learning, which are nowadays available in a large number on the market – in some cases even free of charge.
However, the use of these tools requires well-documented test data. Continue reading “Big Data in the field of automotive testing requires Test Data Governance”
Peak Solution and PSA Groupe have agreed to collaborate on a ‘Big Data’ project. The aim is to develop a flexible and scalable solution to systematically manage and analyze the huge amount of data that results from car testing. The two partners will also incorporate into the project recommendations and results from the ASAM-BigODS Work Group.
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The ASAM e.V. is currently working on a project that prepares the expansion of ASAM ODS to Big Data. Phase 1 of the project was finished successfully last year with a collection of use-cases, features and non-functional requirements of end users for processing large amounts of data throughout the automotive development process. Now, ASAM Technical Steering Committee (TSC) has approved phase 2 of the project.
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Car manufacturers and suppliers facing the challenge to handle a growing amount of data coming from various sources such as test stands, test automation systems and field test equipment in an efficient manner. At the same time, they want to link development and test data with information on vehicle use. The goal is clear: Due to the increasing complexity of vehicles, the engineers must get a holistic, cross-domain understanding of the interaction and behavior of individual car components and performance parameters in the context of different environmental situations. In doing so, they want to make use of existing experience and knowledge in the company or even in the industry. Therefore, the companies want to collect, refine and systematically provide the entire development knowledge for different user groups.
Continue reading “What do test engineers expect from Big Data?”
Driving tests produce an enormous amount of measured data for different development disciplines. Some companies have therefore begun to collect these data in a so-called “Data Lake”.
At the heart of such a “Data Lake” is usually the open source platform Hadoop. It provides a variety of frameworks that enable to process and analyze the incoming data volumes flexible in manifold ways.
Continue reading “ToDo´s to extend ASAM ODS to Big Data”