Metso has launched advanced machine learning features in its digital support platform to enhance predictive maintenance and optimize equipment uptime in its aggregates portfolio. This upgrade leverages sophisticated data analysis to detect wear in crushing and screening equipment, enabling proactive interventions before costly failures occur. By amalgamating real-time machine data with OEM expertise, Metso provides timely maintenance recommendations via its platform.
Continuous data capture from onboard sensors tracks critical factors, and as data accumulates, machine learning models improve their predictive capabilities. This functionality is available for machines equipped with Metso’s Metrics connectivity, with retrofit kits for older models.
Recently unveiled at ConExpo, the technology addresses data privacy concerns by ensuring customer control over data usage. All data is securely stored in the EU, adhering to privacy regulations. As machine learning becomes integral to equipment management, balancing performance improvements and data governance will remain crucial for operators in the construction industry.
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