The mining industry is undergoing a major transformation as companies integrate autonomous technologies to enhance safety, efficiency, and productivity. However, deploying AI-powered automation in rugged mining environments presents significant challenges—requiring industrial-grade computing solutions that can withstand harsh conditions while delivering real-time processing power.
This case study explores how Premio’s customized BCO-6000-RPL enabled one company to streamline their AI-driven mining solution—reducing complexity, improving durability, and enhancing overall system reliability in some of the harshest operating environments.
The Company
A technology driven startup that is reshaping the mining industry by retrofitting industrial mining machines with fully autonomous capabilities. Utilizing AI, they developed a powerful platform to enable existing industrial equipment to operate independently – improving safety, efficiency, and productivity in the most challenging mining environments. By integrating advanced AI, sensor fusion, and rugged computing, the company is pioneering a new era of autonomous mining operations. These massive machines require rugged, high-performance computing solutions to power their AI-driven automation in extreme environments.
The Challenge
When the company set out to develop their autonomous mining machines, they understood that consumer-grade computing solutions would not withstand the harsh industrial environment. Searching for an industrial-grade computing solution, they discovered Premio’s rugged edge computers. Upon connecting with Premio, they were quick to select their first rugged edge computing solution.
Working with Premio, they first deployed the RCO-6000-RPL with a EDGEBoost Node, integrating a NVIDIA A2000 GPU, to handle AI processing. However, their system also relied on additional devices and sensors that were all housed together, which added complexity and took up valuable space. This presented a unique challenge to their operations, as space was a big limiting factor. The RCO-6000-RPL was taking up more space than they intended within their deployment area. To streamline their solution, they sought a more integrated approach—one that could consolidate all components into a single industrial PC.
The Solution
Premio collaborated closely with the company to develop a customized BCO-6000-RPL industrial computer tailored to their autonomous mining systems. This upgraded system featured:
- A wider chassis to accommodate all necessary computing and sensor integration.
- M12 connectors for robust and secure industrial connectivity
- A high-performance NVIDIA RTX 4000 SFF ADA GPU for more powerful AI-powered automation.
- Reinforced internal brackets to strengthen the system for extreme mining conditions.
The BCO-6000-RPL's unique slim chassis design proved to be an excellent fit that allowed the company to restructure their entire operations. By restructuring their solution into a single, industrial-grade computing system, Premio helped the company optimize space while maintaining reliability in demanding environments.
The Benefits
With Premio’s tailored solution, the company achieved key improvements in their system design:
- Reduced hardware footprint – By consolidating separate components into one PC, they saved valuable space inside the mining machines, creating more value for their autonomous mining integration.
- Cost efficiency – The streamlined solution helped reduce additional hardware expenses.
- Reliable customer support – Premio’s responsive team, with an average response time of 1-2 days, ensured a smooth transition to the new system.
- Industrial-grade durability – The reinforced BCO-6000-RPL provided the rugged reliability needed for continuous operation in harsh mining environments.
By partnering with Premio, the company successfully reengineered its autonomous mining solution—enhancing efficiency, reliability, and scalability for the future of mining automation