Overview
BKOAI helped a client transition from labor-intensive, reactive pump maintenance to a predictive, data-driven operations model. By centralizing real-time monitoring, automating alerts, and applying machine learning diagnostics, the client now prevents performance degradation before it occurs—improving asset reliability and optimizing field resources.
Challenge
Pump issues were historically detected only after performance dropped or failure occurred. Inspections relied on routine field visits regardless of actual need, leading to inefficiencies, delayed interventions, and limited insight into root causes.
Solution
- Centralized Monitoring: A real-time operations dashboard provides comprehensive visibility across all pump assets.
- Automated Alerts: Intelligent notifications highlight anomalies and direct engineers to the most urgent sites.
- Machine Learning Diagnostics: Models analyze sensor data, identify likely causes of deviation, and recommend targeted inspection actions.
- Early Intervention: Small performance deviations are detected and addressed before they escalate into major issues.
Key Benefits
- Proactive Maintenance Early detection of performance deviations enables intervention before failure, reducing downtime and maintenance costs.
- Operational Efficiency Automated alerts and centralized visibility eliminate unnecessary field inspections and focus resources where they are most needed
- Data-Driven Diagnostics Machine learning models provide actionable insights into root causes, improving the accuracy and speed of issue resolution.
