Analysing ODX Data

Transparency and security for ODX data in off-highway diagnostics and mobile machinery

In everyday off-highway vehicle development, ODX data often does not originate from in-house creation, but is sourced from a wide range of manufacturers and suppliers across different platforms, machine variants and generations. The same technical facts can be modelled in different ways. In order to correctly use, evaluate and further develop diagnostic functions, a deep understanding of the underlying ODX structure is required – especially in complex, long-lived off-highway architectures for construction and agricultural machinery.

DSA supports OEMs in the systematic analysis and classification of existing ODX data sets for off-highway vehicles and mobile working machines. The aim is to make the origin, structure and meaning of the diagnostic data traceable and to ensure its suitability for use in off-highway diagnostic, test and validation environments throughout the machine life cycle. The analysis is carried out on a control unit basis as well as across the entire machine, regardless of whether the ODX data was created internally or supplied by external partners in the off-highway supplier network.

ODX Structure and Modelling Analysis for Off-Highway Applications

Analysis of the structure and modelling of existing ODX data off-highway ECU landscapes
Understanding different modelling approaches for the same diagnostic content across suppliers and machine variants
Testing of diagnostic services, data identifiers and error codes in mobile machinery
Identification of inconsistencies, redundancies and deviations within complex ECU landscapes
Evaluation of usability in diagnostic and test systems for development, production and after-sales service of construction and agricultural equipment

PRODIS.OFT is used as an ODX-compliant front-loading tester for the analysis and understanding of ODX data in commercial vehicle projects. PRODIS.OFT enables structured navigation through ODX content and helps to make the origin, meaning and effects of individual diagnostic elements in the system context comprehensible across platforms and generations

ODX analysis creates transparency about existing diagnostic data in off-highway systems, reduces risks during integration and use, and forms a robust basis for stable, scalable diagnostic functions and the targeted further development of off-highway diagnostic architectures in mobile machinery worldwide.