A paper manufacturer got more out of its AI sensors with a simple administrative fix
Domtar uses AI-assisted sensors from Waites to improve machine reliability and reduce equipment downtime.
At Domtar, a paper manufacturer, AI sensors have proven to be a valuable asset when paired with a simple administrative change. Matthew McLaughlin, a newly arrived reliability engineer, faced an insurmountable task of analyzing all the data collected from 450 sensors every day to predict equipment issues. Realizing this was impractical, McLaughlin sought help from Domtar's partnership with Waites Sensor Technologies, who provided the AI-assisted sensors.
The turning point came when McLaughlin began attending weekly calls with the sensor company, sharing additional data from their thermal imaging camera, infrared camera, and ultrasonic meter. By providing this extra feedback, Domtar was able to better utilize the sensors' machine-learning capabilities. Within three months, the company began noticing significant improvements in their equipment monitoring.
These improvements were made possible through the collaboration between AI technology, human expertise, and Domtar's maintenance personnel. Domtar's waites system now receives input from shift supervisors, production superintendents, high-level managers, and the general manager, helping to fine-tune maintenance and reduce costs.
The sensors can detect machine vibrations that signal potential issues, allowing Domtar to order specialized parts and keep their machines running, ensuring a more seamless and cost-effective operation.
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