Smart Mine is Safe Mine
Smart mining is the application of advanced technologies, including the Internet of Things, artificial intelligence, digital sensors, and wireless networks, to enhance mineral extraction and processing operations. In this approach, data from mining equipment and processes is collected and analyzed in real time. This enables more accurate and efficient decision-making while also using predictive analytics to maintain the health of the equipment.
Reduced Operation Costs
Lower energy consumption and minimizing equipment breakdowns by utilizing sensors and artificial intelligence.
Improved Employee Safety
Decreasing risks by monitoring equipment and environmental conditions in real time.
Increased Productivity
Optimizing machinery and process management through real-time data analysis.
Protect the Environment
Mitigating environmental impacts by managing energy consumption and waste effectively.
Predictive Maintenance
Anticipating and addressing potential equipment issues before they arise.
Data-Driven Decision-Making
Leveraging big data to analyze and enhance mining performance.
Statistics Don’t Lie!
30%
Increase in Productivity
McKinsey & Company
20%
Reduction in Water Consumption
AspenTech
25%
Reduction in Operating Costs
Fiberroad
Real World Transformers!
China’s Smart Mines
In northwest China’s Shanxi Province, mining operations have been enhanced through the implementation of Internet of Things (IoT), artificial intelligence (AI), and big data technologies. These advancements have increased productivity, reduced operating costs, and improved both the quality and safety of work in the mines.
Canada’s Smart Mines
In Canada, Glencore has developed intelligent systems to manage its mining operations. The company utilizes telematics and real-time information to enhance productivity and lower operating costs. Additionally, at Barrick Gold’s gold mine, the application of AI has improved the accuracy of mine exploration forecasts.
Australia’s Smart Mines
In Australia, BHP and Microsoft have collaborated to boost copper production in mines by using AI and machine learning techniques. They leverage real-time data from copper mines and employ machine learning capabilities from the Azure platform for hourly forecasts. Furthermore, Rio Tinto has successfully reduced transportation costs and increased productivity in its mining operations by implementing self-driving trucks.
