Our goal was to explore how artificial intelligence can lead to improved metrics across all assets that require routine maintenance and have a positive impact on our customers, employees, and bottom-line. After thoroughly evaluating the client’s challenges we used Minsky to accurately model historical data of equipment downtime instances along with past data parameters for the pumps. This process included the collection of pump data using IoT sensors from remote locations. Once the AI models were generated by Minsky for the selected algorithms and historical data parameters for the pumps along with past actual pump downtimes, predictions for future maintenance were made using real-time equipment data which is gathered from IoT sensors and uploaded to our secure cloud. Prediction data from Minsky was also integrated with 3rd party data visualization applications like Tableau.
This process was done in 3 steps:
Step1: Data collections from remote pump sensors using IoT
Step2: AI Modeling using Minsky
Step3: Use analytics to predict future maintenance requirements.