Modern automotive test laboratories are complex and expensive. Advanced equipment, demanding test schedules, staffing requirements and the constantly evolving requirements of legislation and markets make efficient lab utilization an important goal. Getting the most out of your investments is vital if costs are to be reduced and productivity maximized.
Different data types
Heterogeneous result data from the entire development process must be evaluated and validated.
Too many tools
Manual harmonization through desktop tools across multiple data sources is ineffective and causes quality issues.
Data instead of knowledge
Result data without context describing metadata is worthless.
High manual effort
Result data backlog due to 24/7 testing and missing automation.
Legal requirements
The legislator demands traceability over the entire life cycle of the data, from integration to manipulation to archiving.
Data hygiene
Quality and efficiency problems due to lack of data hygiene. This results in wrong, outdated and/or multiple created quantities.
To address all of your business needs, we ensure data quality that leads to time-saving and optimal test productivity. Additionally, if our highly standardized modules are not fit to your landscape, or you have individual requirements, we offer comprehensive business analysis and consulting as part of our holistic solution.
To find the best solution for your requirements, we offer professional services to bring your project idea to life – always with the goal of industrialization. In accordance with industry standards like ASAM ODS, Data.CONNECT is also open for third party systems. This solution leads to high quality data, reduced time-to-market and highly effective testing.
Integrate
- Integration of any heterogeneous result data based on the ASAM-ODS standard
- The context between measurement data and descriptive metadata is created during the integration process
- The automated harmonization provides ready-to-use data for the development
Automate
- Interactive and/or scheduled batch processing
- Server-based reporting, data enrichment and calculations
Search
- Content Search is a fast web search within indexed measurement and descriptive metadata to have the complete context picture
- Continuous, scalable data integration and
- synchronization with near real-time index update
- Down-sampled mass data – allow fast preview with drill down to measurement points for all sources/formats
We are constantly working on new solutions. The following might be interesting for you:
- Transform your e-mobility analysis with AVL CONCERTO 6™, featuring fast data access, advanced visualizations and calculations, and auto-generated reports for superior performance and precise insights.
Increase the efficiency and effectiveness of your test lab.
Data- and process management software for cell, pack, and module
The industry standard for central management of parameters and result data. It is the hub that connects your AVL testbed to your engineers.
Achieve maximum efficiency and save cost in your road testing with asset and process control, mobile test execution, data management and data intelligence.
The increasing networking in vehicle development means that components are no longer considered in isolation and that departments have to work across the board. As a result, it is not uncommon for different modeling strategies and tools to clash.
Model.CONNECT™ bridges this gap.
A powerful open execution platform that connects simulation models to the testbed.
Device.CONNECT™ is AVL’s highly secure answer to mastering the IoT challenges in the automotive industry.
Moving steadily into the future: Find out what’s brand new in the field of Data.CONNECT.
Today’s testing labs are faced with the need to reduce inefficiencies, make the best use of all available assets, keep downtime to a minimum, and manage the collected data. In this webinar, Gerald Sammer explains how AVL’s data and process management
Modern vehicle development processes are complex, and they involve the entire organization for years. It is becoming increasingly difficult to master the vast complexity associated with vehicle development. Relying merely on heterogeneous simulation