Skip to main content

Metso introduces data-driven performance services to support mining industry with equipment reliability and performance

 

Published by
Global Mining Review,

Metso is launching data-driven performance services to empower the mining industry with faster, fact-based issue resolution.

Metso's data-driven performance services are a set of innovative equipment performance solutions designed to help customers prevent production losses, avoid safety risks, and ensure consistently optimised operations. Data-driven performance services offer harmonised service capabilities that cover the entire minerals processing flowsheet.

Metso's transformative data-driven solutions are a combination of intelligent thresholds, advanced analytics, and AI-enabled diagnostics capable of capturing and describing complex cases for faster action. The analytics and AI capabilities are complemented by Metso’s continuously expanding global network of data-driven experts to ensure consistent and responsive service delivery. The enhanced remote monitoring and troubleshooting capabilities reduce the need for onsite inspections and resident experts.

“Data-driven Performance Services empower mining operations to move from reactive to predictive, insight-driven decision making. Based on our analysis from live customer cases, the data-driven performance services solutions have cut issue resolution times up to 50% by having the data available for analysis when issues arise,” says Arttu-Matti Matinlauri, Vice President of Minerals segment Digital at Metso. “Whilst proactively monitoring the equipment on behalf of our customers, on average, we have identified a potential risk every 1400 hours of operation, saving over 8 hours of production per solved case. These risks would have otherwise been missed by our customers.”

Two scalable service levels

Metso’s data-driven performance services are designed for site maintenance and operations teams to maximise equipment availability, reliability, and performance through two scalable service levels:

  • Data-driven technical support provides fast and fact-based troubleshooting and issue resolution. Through live equipment data, Metso’s experts can improve first-time fix rates and reduce production losses. The expanded data-driven expert network ensures consistent delivery of services.
  • Data-driven Condition Monitoring enables early detection of equipment related issues and failures through continuous remote monitoring. AI-powered analytics and expert diagnosis ensure prioritised actions, reducing unplanned downtime and safety risks, improving availability, uptime, and performance. Combined with life cycle services, Metso can conduct the corrective actions efficiently on-site.

“As an original equipment manufacturer, Metso is in a unique position to understand the multitude of different operating modes and equipment related failure mechanisms impacting performance and how they are identifiable from data. This knowledge has been accumulated over decades of valuable collaboration with our customers and complemented with data from connected equipment and processes. We are excited to deepen our collaboration by harnessing our vast knowledge base to improve our customers’ performance through data-driven performance services,” says Matinlauri.

Data-driven minerals processing and metals refining

Metso is committed to advancing the digitalisation of the mining industry. Data is at the core of fact-based decision making. Analytics and AI enable minerals processing and metals refining plants to maintain and improve their performance. We believe in empowering plant operators, metallurgists, maintenance crews and site management with data-driven solutions to get the most out of combining site and OEM expertise with insights.

Metso’s data-driven minerals processing and metals refining solutions help plant operations and maintenance take the next leap on five levels: Measurements allow accurate data to be collected. Stability is achieved through managed control systems. Availability is enhanced with algorithms continuously monitoring equipment ensuring reliability. Productivity is maintained by automating process and equipment control adjustments in real-time. Optimisation and planning provides a view to the future through simulations to adapt to changing conditions.

 

This article has been tagged under the following:

European mining news