In order to be able to find measurement data quickly even after a long time and to interpret and compare it unambiguously for different purposes, it is necessary to precisely document the context in which they were created. With the help of templates, this can be standardized across team and department boundaries.
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.
Measurement data must be quickly retrievable, comparable and interpretable for different purposes and by different persons even after a long time. Companies can only achieve this by precisely documenting under which conditions (= context) the respective measurement data have been created. Conclusion 1: Transparency on test data becomes problematic, if measurement files are stored on the hard disk of a local computer or server just based on individually selected names without a detailed description.
That´s why the market offers a whole series of software tools with which this file-based storage of measurement data can be better organized.
The internal test department of MAHLE Technologies Holding in Shanghai carries out tests for numerous development departments of the automotive supplier. In addition to a large number of test rigs, test preparation facilities such as climatic chambers or seawater basins are also used. Furthermore, there are a variety of measuring devices for tensile and compressive strength as well as for sealing. Moreover, the work plans of the test engineers as well as the specimen must be managed. External clients often provide the latter. A lack of transparency about the availability of the various resources made the planning in the past cumbersome and error-prone, particularly in the case of extensive design verification plans (DVPs).
An important function of openMDM® 5 is the full-text search. It allows test engineers to find measurements based on arbitrary search terms and without knowing the exact location.
When choosing a suitable platform, Peak Solution investigated the two servers SolR and ElasticSearch in detail. This article gives a brief overview on how their features match with the requirements of the openMDM® 5 Eclipse Working Group and what recommendation was given.
Looking for an efficient solution for the management of measurement data in motor development, DAF Trucks N.V. has decided to count on openMDM®. The decisive factor was, that openMDM® is an open, manufacturer-independent software platform that enables its users to implement domain specific measurement data management solutions economically and in a forward-compatible way. In addition, the software is based on the ODS standard (Open Data Service) of the ASAM (Association for Standardisation of Automation and Measuring Systems, http://www.asam.net). The generic data model of ODS provides DAF Trucks with a reliable and at the same time flexibly expandable basis for the long-term usability and comparability of test data.
The variety and complexity of modern vehicles cause an enormous amount of tests during the development. To cope with this large number of tests, vehicle manufacturers and suppliers operate more and more test resources of all kinds. At the same time, the demand for a more flexible planning is growing. In this situation, it is difficult for test planners to provide the necessary resources at the right time at the right place in the right state. In particular, the lack of transparency repeatedly leads to annoying, time and cost intensive allocation conflicts.