Overview
A chemical manufacturing firm required a safe, accurate, and timely method to monitor its boilers and equipment. Manual inspections were time-consuming and risky. A drone-based predictive maintenance system powered by AI image analysis was implemented.
Challenges Faced
- Unsafe manual inspection processes.
- Delayed detection of corrosion or damage.
- Equipment failures causing production losses.
Solution Implemented
- Used drones to capture high-resolution boiler images.
- Developed AI models to detect anomalies by comparing current and historical images.
- Visualized results and predictive alerts through Power BI dashboards.
Results Achieved
- Early detection of boiler damages and failures.
- Reduced maintenance costs and safety risks.
- Improved plant reliability and uptime.
Conclusion
By combining drones with AI vision technology, the company transitioned from reactive to proactive maintenance, improving operational safety and asset longevity.