Robotic assets operate intermittently, which makes monitoring them very difficult. However, monitoring these assets is critical as downtime can cause significant production delays.
There are several inherent challenges related to monitoring robots.
Vibration frequencies associated with failures of this particular asset are often undetectable to the human ear and eye.
Time-based PMs and other checks are not thorough enough to ensure that no failures will occur.
Since assets are not consistently operating, it's difficult to get useful data on active running points.
With standard sensors, the data points received are based on a given time-based interval and may collect a lot of data that isn't useful. Using a triggered monitoring technique can provide more useful data to properly monitor the health of these types of assets.
We propose using the IoT Hub to monitor these assets, establishing trigger points for data collection. When sensors are configured to collect data only while the asset is in use, we can establish better operational baselines and catch failures more often.
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I am excited to drive change in partnership with you, find new efficiencies, take on complex challenges, and increase uptime across the Ford network while making your team's work life more engaging and fulfilling. Please contact me to discuss your unique asset challenges!