At the OSIsoft User Conference in San Francisco, joint customer, Ciner Resources (pronounced “jin-ner”) spoke about the digital transformation they were experiencing by employing OSIsoft’s PI system along with Falkonry’s condition recognition software.
The three Ciner speakers included their CIO, SMART plant lead and their process engineer. They spoke about the challenges, triumphs and future goals of digitally transforming their business. Ciner’s mine and processing plant in Wyoming has a ball mill, called a vertimill, that was experiencing unexpected downtime due to fluctuations in ore grade. Each time the vertimill clogged due to “unknown” low quality ore grade, it cost the company $30,000/hour of production potentially leading to a loss of $720,000 per day.
Ciner’s engineers and practitioners worked with OSIsoft and Falkonry to look into historical data to devise a solution. Together they employed the PI System and Falkonry’s machine learning software and within a few weeks, were able to recognize the patterns that led to blockage conditions. From there, an early-warning system was created to detect low-quality ore grade upstream of the vertimill in order to mitigate downtime events. Where the raw material took two hours from intake to reach the vertimill, Falkonry discovered 10 hour early warnings which surprised the process engineers.
In the video below, Wyatt Keller, Process Engineer at Ciner, shares his experience using OSIsoft and Falkonry LRS ready-to-use machine learning system.
If you’re interested in learning more about our success with Ciner, check out our customer video page to watch additional videos.