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In an effort to improve the return on investment for assets, it is becoming increasingly important for companies to develop and implement techniques for more efficient asset management and condition monitoring. Improved reliability and productivity levels for technological assets such as fleet vehicles and material handling systems in factory and warehouse environments are a must to maintain competitive. On a system such as a forklift fleet, distributed on-demand condition monitoring, combined with model-based fault analysis and prediction techniques, can raise productivity through more efficient maintenance schedules and reduced downtime. BMI Industries is interested in developing a small and customizable embedded sensor system for forklifts to add to their existing product line of retrofit fleet monitoring embedded systems, with wireless connectivity and automatic status reporting.
Michael Lipsett
BMI Technologies Inc
Engineering
Manufacturing
University of Alberta
Accelerate
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