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New Mine-to-Mill Optimization Video

Fast and accurate particle size analysis is a critical component of any mine-to-mill optimization project, so we’ve developed advanced solutions for the pit and the plant.  Recently, we released a new video to show mines how we can help them achieve their optimization objectives.

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As ore mines ramp up and come on stream, the total number of active surface machines (including trucks, excavators, shovels, loaders, graders and dozers) is forecast to rise from 141,470 in 2020 to 167,367 by 2025. This will be a CAGR of 3.4% from 2020 to 2025. The largest contributor to this growth is expected to be trucks, particularly smaller-sized trucks with shorter lifespans, used extensively in parts of Asia Pacific. Underground mining equipment is similarly expected to see a CAGR of 2.3% in this same time frame, with the number of mining trucks and loaders/LHDs in active underground mines expected to rise to 19,853 by 2025. GlobalData’s extensive mine-site research and equipment models have been used to build a complete view of mobile mining equipment populations globally for trucks, loaders, graders, dozers, excavators and shovels. This report includes informative breakdowns by each major region and key mining country, and also by major commodity. Read GlobalData’s Global Surface and Underground Mining Equipment: Populations & Forecast to 2025 for a complete view of the market, allowing you to best position yourself for the future.
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A well-designed mine-to-mill optimization project can achieve productivity gains in the range of 10-20% with minor operational changes or cost impacts. But establishing baseline performance and optimizing feed size requires continual analysis at various stages in the size reduction process.

We offer a complete suite of particle size analysis solutions that helps mines measure this critical metric as part of an effective mine-to-mill approach.  ShovelMetrics™, BeltMetrics™, and PortaMetrics™ provide coverage for mining shovels, conveyor belts, and scenarios that demand portable solutions. Used in conjunction with our centralized data analysis platform MetricsManager™ Pro, these smart tools grant mines insight into the effectiveness of their blasting, crushing, and grinding operations.

ShovelMetrics™ is an in-shovel particle size analysis solution that can help mines adjust their blast parameters for optimal productivity and efficiency. The image-based system captures images of the full shovel bucket, then segments the images using machine learning algorithms.

Although ShovelMetrics™ provides rich information, there are some scenarios where a mine needs additional coverage. For example, a mine may want to evaluate the particle size distribution of a salvage pile or a stockpile being loaded by small excavators where these fixed systems haven’t been installed.

To address these scenarios, we developed PortaMetrics™ – a ruggedized, handheld particle size analysis tool that uses stereo imaging to eliminate the need for reference scaling objects. PortaMetrics™ is a safer and more accurate alternative to traditional image-based particle size analysis methods that require the operator to place and remove a scaling object while exposed to falling rock from the bench face.

Particle size analysis shouldn’t stop at the muck pile – it should also be assessed continually downstream. We developed our newest solution, BeltMetrics™, to continually analyze particle size along any conveyor belt.  Like PortaMetrics™, this solution uses machine learning algorithms and 3D imaging to provide fast and accurate data without a reference scaling object. BeltMetrics™ can also detect when the belt is empty, alerting mine staff to blocked screens or chutes.

A complete particle size analysis solution that is convenient, consistent, and accurate is a requirement for successful mine-to-mill optimization. When integrated with our centralized data analysis platform MetricsManager™ Pro, ShovelMetrics™, PortaMetrics™, and BeltMetrics™ provide comprehensive coverage from the pit to the plant.

Caitlin McKinnon, Motion Metrics, provides an overview of shovel monitoring solutions and the potential they have for increasing safety and efficiency at mine sites.
We provide a range of camera and sensor-based solutions for mining shovels, loaders, conveyor belts, and portable devices.
Image-based rock fragmentation sensing in mining and quarry applications includes an important rock boundary delineation step, which is commonly referred to as rock segmentation. This...
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