AMSJ » Codelco takes on AI for equipment health monitoring

Codelco takes on AI for equipment health monitoring

Industrial artificial intelligence leader, Uptake, and Codelco, the world’s largest Copper producer, are working together to support Codelco’s digital transformation. Codelco will deploy artificial intelligence to monitor the health of mining equipment to ensure operations run efficiently and maintenance needs are predicted.

“Deploying artificial intelligence will allow Codelco to make the best use of our operational data and allow us to reach our goals of boosting mining productivity, reduce costs and maintain safe machine operations through the predictive capabilities of Uptake’s Asset Performance Management software,” said Jaime Rivera, Codelco General Manager of the Andina Division.

“Codelco is the world’s leader in copper production and we’re pleased to support their digital efforts to make operations and maintenance expenditures more efficient by increasing visibility into the real-time and future health of mining machines,” said Jay Allardyce, Uptake Executive Vice President of Industry, Product and Partnerships. “We are excited to partner with Codelco given their forward thinking to accelerate not only their operations but the industry. With their data first approach coupled with our AI leadership, the transformation impact is outstanding and with leaders like Codelco it sets the tone for what is possible.”

The scope of the agreement includes mining and processing equipment at Codelco’s Division Ministro Hales (DMH) mine in Calama, Chile. It includes grinding mills, roasters, crushers, pumps, haul trucks among other machines with a view to creating a comprehensive and enterprise-wide Asset Performance Management solution across all Codelco operating mines.

Uptake Asset Performance Management

Uptake’s APM software solution improves operational efficiency by leveraging artificial intelligence (AI) to create business value from operational data. Traditional asset management only covers routine maintenance tasks and fails to anticipate and adjust to the ways industry operates its business. Today’s asset-intensive environments require a new approach with industrial data science generating OEM-agnostic insights, predictions and recommendations for any asset.

By deploying Uptake APM, the industry can unlock new operational efficiencies by making proactive maintenance decisions based on predictive insights. Our industrial AI and machine learning engines detect asset anomalies and help predict and prevent problems before they happen. Industry can also leverage data analytics to understand how to drive more financial outcomes that impact business.

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AMSJ April 2022