Reference Story: Prexello-Powered Caverion Intelligence Ensures Stability Steelworks

SSAB, a global leader in high-strength steels, operates the Hämeenlinna steelworks, which produces advanced galvanized steel for the automotive industry. To maintain its competitive edge, SSAB needed to ensure minimal disruptions on the continuous galvanizing line, safeguarding both production stability and product quality. Since 2019, the Caverion Intelligence solution, built on the advanced AI and machine learning algorithms provided by Prexello, has been instrumental in helping SSAB achieve this goal. Read the full story at Caverion Intelligence in use on galvanising line in Hämeenlinna, Finland

Achieving Minimal Disturbances and Maximum Quality

SSAB’s primary aim was to optimize its production process by reducing disturbances and ensuring the highest quality of galvanized steel. By leveraging Prexello-powered Caverion Intelligence AD, the Hämeenlinna site has significantly minimized downtime and improved process reliability. The advanced anomaly detection system monitors existing process data and utilizes machine learning to detect potential issues early, enabling proactive maintenance.

Proactive Maintenance with Prexello’s AI

Prexello’s AI-driven technology is at the heart of Caverion Intelligence, analyzing thousands of data points in real-time to dynamically detect any deviations or anomalies in the galvanizing process. Whether it’s an equipment fault or an abnormal process parameter, the system’s ability to flag potential issues well in advance allows the maintenance teams to address problems before they escalate. This has led to reduced waste, higher production capacity, and a consistent level of quality output.

The system’s machine learning models also adapt over time, learning from user feedback and data patterns to continuously optimize performance, keeping up with process changes and evolving operational needs.

User-Friendly Interface for Easy Analytics

The Prexello-powered solution is equipped with an intuitive browser-based user interface that enables the plant’s operations and maintenance teams to easily monitor and investigate process data and predictions. Automatic alerts generated by the system are reviewed daily, helping the team to stay on top of any potential issues, thus ensuring smooth and uninterrupted production.

Conclusion

By integrating Prexello’s advanced AI capabilities through Caverion Intelligence, SSAB’s Hämeenlinna steelworks has successfully optimized its continuous galvanizing line. This powerful combination of machine learning and expert monitoring allows SSAB to maintain the highest product quality and operational efficiency, helping the company remain a leader in high-strength steel production.

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