Dynamic Copper Ore Sorting via Magnetic Resonance Feedback
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Solution Overview
Problem
Current ore sorting methods for copper-bearing ores are inefficient in maximizing recovery and quality, as they rely on average cut-off grades, leading to waste of high-grade materials and inefficient processing, particularly in heterogeneous ore bodies.
Innovation Solution
A system utilizing magnetic resonance analysis (MRA) sensors to dynamically adjust cut-off values based on real-time copper content measurements, combined with conveyor systems and diverter mechanisms, to optimize the separation of high-grade and low-grade ore, ensuring consistent target-grade copper production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If average cut-off grades are used for ore sorting, then processing simplicity is maintained, but copper recovery is reduced due to waste of high-grade materials
Solution Approach 1:
The system dynamically adjusts the cut-off grade threshold based on real-time ore grade analysis. Instead of using a fixed average cut-off grade, the system continuously monitors ore composition and adapts the sorting criteria to maximize copper recovery while maintaining processing efficiency. This dynamic adjustment allows the system to capture high-grade materials that would otherwise be wasted under static sorting rules.
Solution Approach 2:
The system implements feedback control by analyzing the grades of sorted ore and adjusting the cut-off grade threshold accordingly. The analysis unit continuously monitors the composition of both sorted and waste streams, and the control system uses this information to optimize the cut-off grade in real-time, thereby maximizing copper recovery while maintaining operational simplicity.
2Productivity
If dynamic cut-off value adjustment is implemented, then copper recovery is enhanced, but measurement and control complexity increases
Solution Approach 1:
The system replaces complex mechanical sorting methods with magnetic resonance analysis technology. This substitution enables precise, non-destructive measurement of copper content in ore particles as they move along the conveyor belt, providing accurate real-time data for dynamic cut-off adjustment without requiring complex mechanical intervention or sampling systems.
Solution Approach 2:
The system changes the measurement parameter from indirect visual or density-based sorting to direct magnetic resonance detection of copper content. This parameter change enables precise quantification of copper concentration in real-time, allowing for accurate dynamic adjustment of cut-off values and improving both measurement precision and recovery efficiency.
3Productivity
If heterogeneous ore bodies are processed with fixed sorting criteria, then processing efficiency is maintained, but recovery of high-grade materials is reduced
Solution Approach 1:
The system transitions from fixed sorting criteria to dynamic, real-time adjustment of cut-off grades based on the actual composition of the ore being processed. This dynamic approach allows the system to adapt to heterogeneous ore bodies with varying grades, maintaining high processing efficiency while maximizing recovery of high-grade materials that would otherwise be missed by static criteria.
Solution Approach 2:
The system performs self-adjustment by automatically analyzing ore composition and modifying its own sorting criteria without external intervention. The control system uses real-time feedback from the magnetic resonance analysis to autonomously optimize the cut-off grade threshold, enabling the system to adapt to ore grade variations while maintaining efficient processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances copper recovery by identifying and separating higher-grade materials from lower-grade ones, increasing yields, reducing processing costs, and maintaining consistent metal production while minimizing waste, thus optimizing mining recovery and reducing capital costs.
Implementation Method 1
a first magnetic resonance analyzing unit to measure a percentage by weight of copper in the input metal-bearing ore
Data Source
AI summary
Disclosed is a system and method for sorting copper-bearing ore to select portions having a target copper content. The system includes an analysis and selection station including first magnetic resonance analyzer measuring the copper content of input ore and a controlled diverter to divert portions of the input ore to a collection path when the copper content meets or exceeds a predetermined cut-off value. The predetermined cut-off is adjusted by a controller in response to the first magnetic resonance analyzer. A second magnetic resonance analyzer measures the copper content of the ore in a product path. That measurement is fed back to the controller to fine tune the adjusted cut-off value above, up or down, to optimize the yield of ore having the targeted copper content. The system may include a station for sizing the input ore, a station for sizing the output ore, and a station for sizing waste produced by the system.