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Intelligent dry sorting machines are widely used in mining, environmental protection, agriculture and other fields. The advanced automation and artificial intelligence technologies of dry sorting machines improve production efficiency and sorting accuracy.

Main application areas:

Mining industry

Coal sorting: In coal production, intelligent dry sorting machines can efficiently separate coal from impurities (such as stones, soil, etc.) to improve the purity and quality of coal. Using technologies such as laser, X-ray, and near-infrared, high-precision sorting can be achieved to reduce manual intervention.

Metal ore sorting: In the sorting of metal ores such as copper ore and iron ore, iron ore dry sorting machines can automatically identify the composition and quality of the ore and selectively separate valuable minerals, thereby improving the recovery rate and economic benefits of the ore.

Rare earth ore sorting: Rare earth element ores generally contain a variety of impurities. Intelligent dry sorting machines can quickly identify and sort the composition and properties of the ore, reducing the difficulty and cost of rare earth ore refining.

Waste Recycling and Reuse

In the waste recycling industry, intelligent dry sorting machines can efficiently sort recyclable materials (such as metals, plastics, paper, etc.), reducing garbage accumulation and environmental pollution. Especially in waste incineration and recycling of waste electronic products, intelligent dry sorting machines have significant environmental advantages.

Agricultural product screening

Intelligent dry sorting machines are widely used in agriculture for screening of grains, seeds, fruits and vegetables and other products.

For example, through laser and machine vision technology, X-ray dry sorting machines can quickly detect and separate foods that do not meet standards (such as damaged grains, foreign objects, etc.), ensuring food quality and safety.

Food processing

During food processing, intelligent dry sorting machines can be used to separate ingredients or impurities that do not meet quality standards.

For example, impurities are removed during the washing and processing of fruits and vegetables, or impurities are sorted during grain processing to improve the purity and quality of the final product.

Sorting in the chemical industry

In the beneficiation, grading and sorting of chemical raw materials, intelligent dry sorting machines improve production efficiency and reduce material waste in the production process by automatically identifying and processing different materials. At the same time, it can also improve the purity and performance of chemical products.

Building materials

In the construction industry, intelligent dry sorting machines can be used to screen and separate materials such as construction waste, slag, and stone, recycle useful resources, reduce waste generation, and improve resource utilization.

For example, in the concrete recycling process, valuable substances such as metals can be separated.

Environmental protection and pollution control

In the field of environmental protection, intelligent dry sorting machines can be used to separate and remove harmful substances in polluted soil or water.

For example, in wastewater treatment, intelligent dry sorting machines can help separate harmful substances and achieve more efficient water treatment.

This technology also plays an important role in garbage disposal and hazardous waste treatment, ensuring that waste can be recycled reasonably and environmentally friendly.

Combination of automation and intelligent equipment

The combination of intelligent dry sorting machine with automation system and artificial intelligence enables it to perform efficient and accurate material sorting without human intervention through sensors, machine vision, data analysis and other technologies. By continuously optimizing the algorithm, the intelligent dry sorting machine can also perform self-learning to improve the sorting effect.

The application of intelligent dry sorting machine in multiple industries has improved production efficiency, optimized resource utilization, and helped reduce environmental pollution. It is an important tool for all walks of life to achieve intelligent, automated and environmental protection goals.