Right First Time: Cloud-Based Cyber-Physical System for Data Acquisition and Remote Diagnostics to Optimize the Service Quality 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.
Citation: Subke, P. and Moshref, M., "Right First Time: Cloud-Based Cyber-Physical System for Data Acquisition and Remote Diagnostics to Optimize the Service Quality," SAE Technical Paper 2021-01-0158, 2021, https://doi.org/10.4271/2021-01-0158. Download Citation
Author(s):
Peter Subke, Muzafar Moshref
Affiliated:
Softing Automotive Electronics GmbH
Pages: 7
Event:
SAE WCX Digital Summit
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Data acquisition and handling
Commercial vehicles
Road tests
Cloud computing
Maintenance, repair, and overhaul (MRO)
Fleets
Diagnostics
Technical review
Inspections
Optimization
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