NIR/CS sorting technology application solutions
XRT Series Intelligent Sensor Sorting Machine

NIR/CS sorting technology application solutions

The intelligent sensor photoelectric sorting machine introduces artificial intelligence techniques such as deep convolutional neural networks (CNN) into the field of visible light photoelectric sorting for material image analysis and processing Through C

Working Principle

Application

NIR Series Intelligent Near-Infrared/Visible Light Sensor Sorting Machine (Dedicated Model for Mineral/Metal and Other Material Sorting)

  Designed specifically for sorting minerals, metals, and various other materials. Utilizing spectral recognition technology, it accurately distinguishes ore types and removes waste rock. It is suitable for pre-selection and purification of non-metallic and non-ferrous metal ores, and can also be used for efficient classification of solid waste, building materials, and other materials, improving grade and recovery rate, and meeting the automated sorting needs of mining, resource recycling, and other scenarios.


CS Series Intelligent Color Sorter (Dedicated Model for Food/Mineral and Other Material Sorting)

  The CS series intelligent color sorter is designed specifically for sorting food, minerals, and various other materials. Utilizing high-precision image recognition and intelligent sorting technology, it can accurately remove discolored, impurities, and substandard materials. It is widely used in food processing such as grains and nuts, as well as industrial sorting in ores and building materials, improving purity and quality and meeting the high-efficiency sorting needs of multiple industries.

Technological Advantages

◎ High Accuracy: The equipment is equipped with two sensor systems: near-infrared hyperspectral and visible light. The optimal sensor combination is selected based on the ore properties and beneficiation task to achieve accurate identification.

◎ High Speed: The near-infrared spectral probe can measure one million spectra per second, with wavelength resolution accurate to ten nanometers. The visible light sensor can detect up to 20,000 mineral particles per second. From sensor scanning to the final decision on whether to change the ore block's trajectory, only milliseconds are needed. The compressed air solenoid valve completes one ore block blowing and resetting in just 10-18 milliseconds.

◎ High Capacity: The equipment fully meets the requirements of modern large-scale mining equipment. Taking talc ore with a feed particle size of 20-60mm as an example, the processing capacity can reach 50t/h. The maximum on-site processing capacity is approximately 300t/h.

◎ Energy Saving and Environmentally Friendly: For example, a near-infrared hyperspectral and visible light composite intelligent sensor sorting machine with a belt width of 1200 mm consumes only 15 kW/h, and its fully sealed structure is equipped with a dust removal port, making dust controllable.


 

Application scenarios

  ◎  It is widely used in dry pre-selection of precious metals such as gold, silver, and platinum group metals; non-ferrous metals such as molybdenum, copper, zinc, nickel, tungsten, lead-zinc, and rare earth elements; and non-metallic minerals such as feldspar, quartz, calcium carbonate, and talc.

Technical Features

◎ Utilizing imported German technology, the material separation system employs a jet nozzle design and imported solenoid valves, ensuring stable performance and precise operation.

◎ High-precision identification is achieved through spectral analysis and a motion camera.

◎ The system is self-learning and can identify different minerals through batch mineral data acquisition.

Technical Parameters

ModelBelt Width
mm
Sorting belt speed
m/s
Infrared wavelength
nm
Sorting accuracy
%
Feed particle size
mm
Processing capacity
t/h
NIR-10001000
0 ~ 3.5900-1700≥ 9010 ~ 3015 ~ 20
30 ~ 8020 ~ 45
NIR-12001200
10 ~ 3020 ~ 30
30 ~ 8030 ~ 65
NIR-1600160010 ~ 3030 ~ 45
30 ~ 8045 ~ 80
NIR-1800180010 ~ 3045 ~ 60
30 ~ 8060 ~ 80


Application Cases