Mining
The mining industry demands innovative solutions to navigate the complexities of remote mining equipment monitoring and maintenance. The need for precise condition monitoring, early fault detection, and efficient maintenance to mitigate downtime is more pronounced than ever.
Predictive maintenance (PdM)helps address these challenges.
Trusted by leaders like Westmoreland Coal, our platform helps reduce unplanned downtime, remotely monitor equipment and optimize asset performance!
Mining Industry Challenges
Remote Mining Equipment Condition Monitoring
Mining operations often involve expansive sites with assets scattered in remote locations. Monitoring the condition of equipment in these remote areas poses logistical challenges. The distance factor complicates the timely and accurate assessment of equipment health, making it crucial to overcome the complexities associated with condition monitoring in remote mining assets.
Dusty Environment with Water Dripping
Mining sites often contend with a harsh combination of dust-laden air and water dripping, creating an environment that poses a significant challenge for equipment. Navigating these conditions requires specialized approaches to monitoring and maintenance.
Machine Monitoring: High and Low-Speed Machines
The mining industry operates a diverse array of machinery, ranging from high-speed crushers to low-speed conveyors. This diversity introduces challenges in managing the maintenance needs of machines with significantly different operating speeds.
Each category demands specific attention to condition monitoring to ensure optimal performance, making it a complex task to address the varied requirements.
Benefits of Predictive Maintenance Solutions in Mining
Robust Hardware with IP68 Rating​
Nanoprecise sets the foundation for your success with hardware built to endure the harshest conditions. Our robust hardware, featuring an IP68 rating, ensures durability and resilience in challenging environments.
Wireless IoT Hardware with Light Energy Harvesting
Our wireless IoT sensors are equipped with light energy harvesting capabilities, designed to function both indoors and outdoors. By drawing power from available ambient light sources, it eliminates the need for frequent battery replacements, ensuring sustained and uninterrupted functionality.
Remote Condition Monitoring
We bring the power of Remote Monitoring with IoT & AI to the forefront, eliminating the need for human intervention in routine monitoring processes. This technology ensures continuous equipment monitoring, providing real-time insights into the health and performance of your machinery, even in remote locations.
Explore our Mining PdM Solutions →
Case Study: Remote Condition Monitoring in Mining
A Fortune 500 mining company faced high operational risks from low-speed, remote conveyor belt pulleys that were difficult to monitor. These assets, critical to crusher feeding operations, had no redundancy, making failures disruptive.
To address this, our MachineDoctorâ„¢ 6-in-1 wireless sensors were deployed on the conveyor belt pulleys. The system delivered real-time fault detection and AI-powered anomaly alerts, even at low speeds.
When an unbalance was detected on one of the pulleys, an RMS velocity spike triggered a Stage 4 fault alarm, indicating immediate attention was required.
This early warning prevented 12+ hours of unplanned downtime, avoided costly damage, and delivered a 20X return on investment—all by detecting the fault 27 days in advance.
Applications
Belt Wagons
Cable Reel Cars
Bucket Chain Excavators
Bucket Wheel Excavators
Transport Crawlers
Mass Distributors
Crawler-Mounted
Conveyor Bridges
Crawler-Mounted Spreaders
Stacker and Reclaimers
Generator Cars
Movable Crushers
Trusted By Your Peers
See it Work for You!
Our cutting-edge solutions are tailored to address the unique maintenance challenges of the mining industry!
See how we seamlessly integrate with your process and help you eliminate unplanned downtime, monitor remote mining equipment and improve your overall operational efficiency.