Isuzu generates and analyzes a significant amount of vehicle performance data that currently resides in unconnected systems. Students on this team will develop AWS platform designs and integrate these individual pieces into a single work process pipeline.
Abstract:
As a global manufacturer of commercial vehicles, Isuzu delivers a broad range of models from lightduty vehicles such as pickups to heavy-duty tractors with massive 16-liter engines. Designing these products requires a significant amount of testing which creates a lot of data. Logging, storing, and sharing this data creates numerous challenges. Students on this team will support the platform integration for an existing ISUZU Amazon Web Service (AWS) based truck test data logger, online data management and AWS based data analysis, as well as elastic computing capability and online optimization algorithms. The existing ISUZU in-house data logger enables fast data storage and cuts the lead and analysis time from technicians to engineers. Cloud based service enables a deep learning based data analysis pipeline with collected data; machine learning based simulation can also utilize validated data to improve model accuracy and use an elastic computing fleet to perform optimization. Students on this team will develop AWS platform designs and integrate these individual pieces into a single work process pipeline.
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