Photoelectric intelligent dry type coal separator is a kind of dry type coal separation equipment based on advanced imaging and artificial intelligence technology. By using the material characteristics acquired by X-ray imaging system, coal and gangue can be automatically analyzed and identified, and the high-pressure air can be controlled to blow the target to realize fully-automatic raw coal separation. It has the advantages of high separation accuracy, greatly reducing the cost of electricity and manpower and featuring easy equipment maintenance and strong adaptability to coal types.
Equipment composition:Material distribution system、Multispectral photoelectric scanning imaging system、Deep learning image recognition system、Execution system、High-pressure air supply station、Auxiliary system
Scope of application:Replacing hand picking ; replacing movable sieve jigger ; separating coal in water shortage areas; separating raw coal with easy argillization in water; recycling tailing; separating other non-coal minerals.
Wide processing size range: It can handle 30-600mm raw coal. The upper limit of separation is 600mm and the lower limit is 30mm.
High separation accuracy: The rate of gangue removing is over 95%, the rate of coal in gangue is less than 2%, and the separation effect is significant.
Great processing capacity: The processing capacity is 140-320t/h for the materials with different particle sizes.
High-level intelligence: Workers are not required to be on duty for a long time, and the fault can be self-detected.
1. Advanced imaging technology：On the basis of in-depth study on the radiation absorption characteristics of the target, the signal type and imaging optical path are optimized. The matched multi-band sensor is used to highlight the feature differences of the target to the greatest extent.
High-standard industrial X-ray source is adopted, which makes the ray more uniform and stable. Imported high-performance dual energy X-ray detector is adopted, which has high signal-to-noise ratio and good image quality.
2. Executive subsystem of efficient and reliable air separation：The high-pressure air nozzles of the executive subsystem are arranged in an array. According to the position and shape information of the object to be executed, the opening and closing time of multiple air nozzles at the corresponding positions is intelligently controlled, which can effectively solve the problem that irregular objects with special shapes and small stress surfaces are difficult to be blown and achieve accurate blowing separation.
When encountering raw coal with different ash contents, moisture contents and batches, the system can self-study and adjust the identification parameters within a certain range and flexibly switch the blowing separation schemes according to the gangue content.
3. Artificial intelligence image recognition
① Photoelectric signal processing and analysis Geometric and radiation correction Image stitching data rectification Pulse compression;
② Modeling, feature extraction and shallow learning Target eigenvector model Classification storage matching recognition;
③ Learning and training based on deep neural network Dedicated image sets Large-scale GPU cluster training
Intelligent feature extraction in the same way as human visual cognition
Particle size 50-300 mm Photoelectric intelligent dry type coal separator
Note: Due to different ores in different regions, the technical parameters are for reference only, and they shall be subject to the actual design.
Particle size 25-100 mm Photoelectric intelligent dry type coal separator
Note: Due to different ores in different regions, the technical parameters are for reference only, and they shall be subject to the actual design.
Particle size 150-450 mm Photoelectric intelligent dry type coal separator
Note: Due to different ores in different regions, the technical parameters are for reference only, and they shall be subject to the actual design.