In the mining sector, ore blending in underground mines is a crucial process for enhancing production efficiency and maximizing resource utilization. Traditional ore blending methods often suffer from inaccurate data, inefficient scheduling, and poor overall productivity, which significantly limit the economic performance and development potential of mining enterprises. With the advancement of technology, intelligent ore blending has emerged as a transformative solution. But what are the key technologies that make intelligent ore blending possible in underground mines?
Accurate Grade Prediction
Application of Geostatistics
Accurate ore grade prediction is the foundation of scientific ore blending. Traditional manual methods rely heavily on on-site experience and basic sampling, resulting in coarse data and imprecise grade estimates. Intelligent ore blending, on the other hand, leverages geostatistical methods and 3D mining software models built from standardized geological sampling to estimate the ore grade at different spatial positions within the stope. It significantly improves prediction accuracy and provides a reliable database for subsequent blending.
Real-Time Monitoring at the Source
Beyond statistical models, intelligent systems also use spatial positioning devices and loader bucket weighing systems installed on ore extraction equipment to monitor ore grade and volume in real-time. It enables managers to continuously track ore quality and output at the source, allowing for timely adjustments to blending plans and ensuring stable supply grades.
Precision Measurement Technology
Multi-Stage Accurate Measurement
Ore blending involves mixing ores of different grades in precise proportions to achieve a stable composite grade. Accurate measurement of ore quantity across multiple stages—extraction, locomotive transport, and belt transfer—is essential. Intelligent blending systems utilize proven technologies, such as rail weighbridges and belt scales, to ensure reliable data at every stage. Integration with LiDAR and bucket-weighing technology further enables real-time matching of ore quantity and grade at the source.
Intelligent Data Storage and Management
All collected data—from extraction points, locomotives, and belts—is uploaded to a central system for intelligent storage and management. This centralization enhances data accessibility, improves analytics capabilities, and supports informed decision-making throughout the operation.
Multi-Objective Ore Blending Algorithms
Algorithm Optimization
At the core of intelligent blending is a multi-objective optimization algorithm. The system processes input goals (e.g., average ore grade, mining volume balance) and outputs the optimal allocation. These algorithms generate transport instructions for locomotives based on mathematical models, balancing economic performance with continuous, stable production.
Dynamic Monitoring and Adjustment
Intelligent blending systems also feature dynamic monitoring and correction capabilities. Using positioning systems and weighing devices at ore passes, chutes, and shaft stations, the system tracks stock levels and transport volumes. Mid-level blending models generate transport instructions, and any deviation triggers automatic alerts and corrective adjustments, ensuring grade consistency and operational stability.
System Integration and Data Sharing
Integrated System Architecture
Intelligent ore blending integrates multiple modules—grade prediction, precision measurement, and optimization algorithms—into one unified system. It enhances performance, reduces maintenance costs, and simplifies system management.
Real-Time Data Sharing and Collaboration
Through a centralized data management platform, real-time sharing and collaboration across departments become possible. It improves the overall utilization of data, facilitates informed decisions, and enables automation and intelligent control across production processes when integrated with other operational systems.
Conclusion
The success of intelligent ore blending in underground mining lies in the seamless integration and application of multi-dimensional technologies—from precise grade forecasting and accurate ore quantity measurement to optimization algorithms and real-time system adjustments. These innovations not only boost productivity and resource utilization but also lay a strong foundation for the sustainable development of mining enterprises. As technology continues to evolve, the future of intelligent ore blending promises to be even more efficient, automated, and intelligent, injecting powerful momentum into the mining industry’s transformation and high-quality growth.
