Right First Time: Cloud-Based Cyber-Physical System for Data Acquisition and Remote Diagnostics to Optimize the Service Quality

Peter Subke; Muzafar Moshref

doi:10.4271/2021-01-0158

This paper describes a system and a process to significantly decrease the downtime of commercial vehicles that are immobilized for the purpose of Inspection and Maintenance (I/M) in the workshop.

The process is based on a data acquisition system that is installed in the vehicles and collects data from a fleet under real driving conditions. The collected data is sent to the cloud and merged with other data sources, such as diagnostic data requested from the vehicles in the workshop, history data, test drive data, and so on.

The target-oriented analysis of selected data items results in predictive maintenance sequences. The sequences are described in OTX [1] and downloaded to the workshop tester that processes OTX sequences. In combination with Qtr.-based GUIs, the service technician is guided thru the maintenance process. If required, an external technical expert can access the vehicle remotely and support the local service technician to do his job right the first time.

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Right First Time: Cloud-Based Cyber-Physical System for Data Acquisition and Remote Diagnostics to Optimize the Service Quality 2021-01-0158

SAE MOBILUS