ABB has launched its Performance Optimisation Service for long product rolling mills, an advanced service powered by ABB Ability Data Analytics for long product rolling mills, a digital solution which applies process-specific analysis to large volumes of complex data. This helps metals producers to achieve unprecedented levels of yield, quality and productivity, with remote monitoring and support via ABB’s Collaborative Operations Centers.
ABB’s Performance Optimisation Service for long product rolling mills allows operations to be monitored around the clock from ABB’s Collaborative Operations Centers, where experts alert designated onsite staff to process deviations and disturbances and advise on corrective action, supporting faster, more data-driven decisions that will enhance process performance. To facilitate continuous improvement, ABB utilises process insights to generate regular reports identifying focus areas and recommended actions. Enterprise-level integration provides insights across multiple mills, enabling users to identify and analyse trends that could impact performance at several sites.
The solution at the core of this service – ABB Ability Data Analytics for long product rolling mills – integrates with ABB Ability Data Analytics Platform for metals and is able to collect high frequency data in real-time from data acquisition systems, such as Iba or over other industry standard communication protocols, and analyse the performance of the mill with process-specific algorithms. It uses the data to detect deviations, identify their root cause and determine trends, benchmarks and other performance factors including predicting and preventing faults before they affect production. Data is collected in real-time, stored securely onsite at the customer’s premises using the ABB Historian server, and visualised for designated users in intuitive, customisable dashboards.
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