Горнодобывающие сухие сепараторы помогают идентифицировать и классифицировать минералы

Машина для сухой сортировки руды is a kind of equipment that uses the physical properties of minerals under dry conditions (such as density, magnetism, conductivity, etc.) to sort and classify. Compared with wet sorting equipment, dry sorting machine does not require water source, is easy to operate, energy-saving and environmentally friendly. It is often used to process ores with larger particle size and lower humidity.

Functional and technical advantages

Sensing technology: Accurately collect mineral information

Spectral sensing technology: Use high-resolution spectral analysis to quickly obtain elemental composition data on the surface of the ore. Including X-ray fluorescence spectroscopy (XRF) or near-infrared spectroscopy (NIR), etc., by analyzing the spectral response of the ore, accurately identify the metal elements and their content in the mineral.

Laser or ultrasonic sensing technology: used for surface and internal morphology measurement of ore, to obtain physical property data of ore particles, such as particle size, density, morphology and other information. Laser sensors can scan the surface of the ore through a laser beam to capture the size and shape of ore particles in real time.

Electromagnetic sensing technology: Applied to the electromagnetic property detection of ore, by detecting the conductivity and magnetic differences of metal minerals in the ore, further identify the type and properties of the mineral.

AI big model algorithm:

Machine learning and deep learning: By processing the collected ore data in real time and combining machine learning and deep learning model training, it is possible to extract key physical and chemical characteristics from a large amount of historical ore data, and automatically identify and classify the ore.

Real-time feedback and optimization: The AI algorithm can not only quickly determine the metal element content of the ore, but also optimize the mineral processing strategy based on real-time sensor data, improve the ore sorting accuracy, reduce the misjudgment of waste rock, and ensure the efficient recovery of useful ore.

Prediction and modeling capabilities: The AI model can predict the distribution characteristics of the ore, the degree of mineral enrichment and its changes during the processing process based on historical data and real-time data on site, thereby helping operators to better adjust equipment parameters.

Precise sorting at the particle level

Applicable particle size range: 3-50mm: Intelligent dry sorting equipment is particularly suitable for sorting ores with a particle size range of 3-50mm. For this particle size range, the ore shape, density and composition vary greatly. Traditional beneficiation methods are often inefficient and prone to misselection. Equipment that combines AI and sensor technology can identify and sort more accurately.

Efficient screening and classification: Through accurate sensors to scan ore particles online, AI algorithms can quickly determine the value of each ore and automatically classify it. Waste rock and useful ore are separated in time, avoiding the waste of ore in the traditional beneficiation process.

Application and Industry Prospects

Efficient sorting of metal ores

Iron ore, copper ore, aluminum ore, etc.: The equipment can accurately distinguish useful minerals and waste rocks in metal ores, improve the extraction efficiency of metal ores, and reduce the waste of low-grade ores.

Rare metal ores: Rare metal ores such as tungsten, molybdenum, and lithium can improve the recovery rate of ores and reduce the impact on the environment by accurately identifying the metal components.

Application in the coal industry

In the process of coal beneficiation, the equipment effectively improves the purity and combustion efficiency of coal by distinguishing coal from waste rock, reduces the mixing of impurities, and improves the comprehensive utilization rate of coal.

Environmentally friendly mines and resource recycling

In the construction of environmentally friendly mines, dry separator ore sorting equipment based on sensor technology and AI large models can greatly reduce water consumption and environmental pollution problems, and promote the efficient utilization and sustainable development of mineral resources.

The dry sorting machine for mining not only improves the efficiency of mineral sorting, but also reduces the use of water resources and can be flexibly applied under different ore conditions. It is an indispensable equipment for mineral identification and sorting, especially when processing ores with magnetic and electrical conductivity differences. Through the combination of dry sorting technology, mining production can achieve more efficient and environmentally friendly mineral sorting.