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Data by Equipment

Leverage equipment sensor data to minimize unplanned downtime.

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Data by Equipment

Overview

Today’s mining equipment can be paired with sensors and IoT devices, enabling real-time data collection on equipment health and performance. Mine operators can now utilize data to optimize maintenance schedules and reduce downtime for their suite of equipment, including large haul trucks, crushers, mills and conveyor systems.

By leveraging data from equipment sensors, predictive maintenance strategies can be implemented effectively, where equipment failures are forecasted accurately before they happen. And with predictive analytics comes a more proactive approach to maintenance, allowing operators to minimize costly unplanned downtime.

However, with a more interconnected and data-driven approach to mining equipment management, the industry now faces increased cybersecurity risks. Critical data infrastructure in the face of cyber threats is paramount, and with the high velocity and vast amounts of data being generated, it also becomes more difficult to ensure data integrity, storage, retrieval for effective analysis.

Key Client Challenges

How do we leverage data by equipment, and by fleet, improve equipment reliability, increase mine productivity, and reduce downtime?

What are the best practices for securely managing and storing large volumes of data from mining equipment while handling cybersecurity threats?

How can we better use data by equipment, and by fleet, to improve safety and maintenance scheduling in the mining environment?

How YCP Unison Can Help

To leverage data effectively, mining personnel will require training to understand how to interpret data and results to optimize equipment performance. Additionally, the shift to adopt data-driven approaches may lead to initial resistance and a lack of buy-in initially, and a window of time to adapt to new technology is often required.

Our YCP Unison experts will work alongside your team to ensure that data collection systems are set up effectively and integrated with your existing equipment. We will also work to facilitate training and behavior shifts required to drive the successful transition to data-driven processes, ensuring buy-in and support from all organizational levels.