Ford Deploys Aqira Platform To Streamline Road-load Data Management

Ford Motor Company has implemented HBK’s Aqira trial information guidance strategy to switch its bequest Corporate Road Loads platform, enabling faster information entree and enhanced hunt capabilities crossed much than 8 terabytes of world trial data.

Ford’s Corporate Road Loads (CORL) system, which had been based connected nCode Automation exertion for complete 2 decades, was approaching extremity of life and could nary longer meet evolving IT information standards aliases support newer information types specified arsenic CAN signals. Engineers besides faced challenges navigating nan extended information repository, peculiarly erstwhile hunt parameters were not precisely defined.

HBK worked pinch Ford to migrate existing information into Aqira, applying metadata tags to facilitate much powerful hunt functionality. The platform’s configurable architecture allows engineering teams to create their ain study applications and standardise processes for converting measured time-series information into actionable metrics, including rhythm counting and wave analysis.

The strategy enables customisation of information retrieval and position formats, whilst integrating study workflows straight wrong nan level to destruct manual downloads and processing steps. HBK besides provided deployment support, addressing method requirements including personification authentication, Python repositories and mounted information storage.

According to Ford, early results bespeak Aqira will present substantially improved hunt functionality, enhanced value and traceability done enriched metadata, clip savings done automation of regular study tasks, and elastic information output formats to meet varying squad requirements.

“Aqira has been an highly affirmative acquisition for our engineering teams,” said Dan Clatterbuck, CAE/test technologist astatine Ford Motor Company. “It’s a solution built by engineers, for engineers, allowing america to style nan strategy to fresh our workflows and reducing our reliance connected IT support.”

The implementation comes arsenic conveyance manufacturers look expanding complexity from expanding level portfolios and exemplary variations, requiring much intelligent approaches to trial information utilisation. Ford expects nan strategy to present greater ratio and deeper insights arsenic it forms portion of nan company’s next-generation engineering workflows.