Case Study - quarrying AI solutions
AI Powered Quarry Optimization
Summary
New Gradient collaborated with Tarmac to revolutionize quarry blasting operations, developing an innovative solution that played a crucial role in Tarmac's victory in the Institute of Quarrying's Emerald Challenge.
Developing industry leading tools
Hard rock quarries face a complex challenge in optimizing their blasting operations. The goal is to achieve an ideal rock size distribution for efficient processing, but this is complicated by numerous factors including explosive weights, geological variations, and equipment constraints. Balancing these parameters to minimize overall operational costs is a multifaceted problem that traditionally relied heavily on operator experience.
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Our collaborative solution with Tarmac leveraged cutting-edge AI technologies to address this challenge. We developed a computer vision model that analyzes drone imagery of blast piles, accurately measuring the resulting rock size distribution. This was combined with a machine learning model that predicts blast outcomes based on various input parameters and historical data. Predicting blasting patterns that produce the best rock fragmentation and minimize processing costs
By integrating these tools into a comprehensive optimization process, we enabled Tarmac to determine the most cost-effective blast patterns. This approach balances the reduction of load and haul costs with drill and blast expenses, leading to significant operational efficiencies.
The success of this project not only contributed to Tarmac's Emerald Challenge win but also demonstrated the power of AI-driven solutions in the quarrying industry. New Gradient's expertise in applying advanced technologies to complex industrial problems proved invaluable, showcasing our ability to collaborate effectively with industry leaders and deliver tangible business value through innovation.
