Mining Technology Solutions

Toward a Safer, Smarter, and Cleaner Mining Industry

Helping the mining industry to evolve rapidly toward a more sustainable future. By investing in a smarter workforce, resilient supply chain, and cleaner operations.

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Overcoming the Biggest Challenges of Mining Industry

Higher CAPEX / OPEX

  • Long Engineering Cycles, Delayed Handoff to Ops
  • Delayed and Over-budget Projects Deliveries
  • Higher Production Downtime and Inspection Costs

Weakened Value Chain and Productivity

  • Unbalanced Supply and Demand Planning
  • Impaired Forecasts and Tracking from Pit to Port
  • Poor Overall Equipment Effectiveness (OEE)

Constrained Workforce

  • Weakened Collaboration with Remote Operations
  • Impeded Workforce Efficiency without Data Insights
  • Lack of Situational Awareness and Safety Procedures

Resetting Mining Industry Toward a Sustainable Future

Predictive Maintenance

AI-powered predictive maintenance enhances the dependability of mining equipment and aids mining companies in staying ahead of unexpected issues that can significantly disrupt operations. By analyzing metrics and data related to the lifecycle maintenance of IoT-enabled mining machinery through predictive maintenance, mining companies can forecast both the probable timelines for maintenance events and upcoming capital expenditure needs.

Key Benefits

Enhanced mining equipment reliability

Minimized operational downtime and inspection costs

Optimized maintenance scheduling

Prevents unforeseen equipment failures

Technical Capabilities

Real-Time Mining Analytics

Monitor and manage multiple mines and overall equipment efficiency (OEE) with the assistance of the Internet of Things (IoT) and sensor data.

Mining Processes Management

Execute flexible mining and extraction processes and collaborate seamlessly in an integrated environment.

Predictive Maintenance Trends

Predictive maintenance for mobile equipment ranks sixth globally in terms of the overall degree to which mines have invested in it.

When properly implemented, predictive maintenance maximizes profits by minimizing the risk of losses due to system failure.

The global predictive maintenance market, which was valued at 4.5 billion US dollars in 2020, is projected to reach the size of 64.3 billion US dollars by 2030.

Transitioning from preventive to predictive maintenance can enhance a mining company’s overall equipment effectiveness (OEE) from 50-75%.

Predictive maintenance can reduce maintenance planning time in mining and metal operations by 20-50% and overall maintenance costs as well.

A typical mining operation spends 35-50 percent of its annual operations budget merely on asset maintenance and repairs.

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Optimizing Production and Scheduling

The mining industry is a dynamic sector with intricate operations and production. With escalating costs for maintenance, transport, machinery, workforce, and other resources; shifting environmental regulations; fluctuating market demand; managing resources such as water and energy; ensuring safe procedures; enhancing sustainability initiatives; minimizing waste generation; improving process efficiency and throughput optimization, it’s crucial for the industry to utilize data-driven solutions.

Key Benefits

Effectively manage open-pit and underground operations

Integrated cross-functional data streams

Optimized mineral extraction

Improved profitability

Technical Capabilities

Optimizing Mining Operations with AI and Data

Data analysis through AI allows operators to make more informed decisions on when to commence an excavation or kick-start an operation that may significantly impact profits – by analyzing various factors such as geological conditions, equipment status, or personnel availability. AI can also be used to assess risk before work starts by conducting predictive maintenance on machinery or predicting potential failures based on historical incidents.