Double-view imaging raw coal gangue pre-discharging device and method

Abstract

The invention relates to the field of dry coal preparation, in particular to a double-view imaging raw coal gangue pre-discharging device and method. The device is characterized by specifically comprising a vibrating screen classifier, a chute type vibrating feeder, a light source, a linear array camera, an imaging background device, a high-frequency electromagnetic valve, an array nozzle and thelike. The chute type vibrating feeder is used for sorting blocky materials; the light source illuminates the materials, and the imaging background device is a self-luminous blue background device; thedouble-view linear array camera collects front and back images of raw coal; statistical analysis and calculation are carried out to obtain characteristic difference information that the coal has a reflective characteristic relative to the gangue, and then the gangue in the raw coal is identified and removed; based on the double-sided image difference of the coal and the gangue, the gangue in theraw coal can be sorted out; in combination with an X-ray sorting machine, false middlings which are identified as gangue can be secondarily identified and sorted out; and water and chemical reagents are not consumed in the whole process, and no high-energy radiation exists.

Description

technical field [0001] The invention relates to the field of dry coal preparation, in particular to a raw coal pre-discharging device and method for dual-view imaging. Background technique [0002] Dry coal preparation is a new type of coal preparation method based on photoelectric technology. It does not consume water and chemical reagents during the process, which is environmentally friendly and low in cost. At present, in industrial applications, X-rays or visible light are often used to identify coal and gangue. X-ray identification technology has low sensitivity to material differences, so it is the most widely used in industry, but it generates ray radiation during processing, and X-rays inevitably have thickness effects, beam effects and detector afterglow effects, which are limited to a certain extent. Its feed size ratio and recognition accuracy have been improved. [0003] Visible light imaging recognition technology is highly sensitive to materials, especially a...

AI Technical Summary

Problems solved by technology

Existing technologies, such as the schemes described in patent announcement numbers CN105289997A, CN206763426U, and CN102489450B, all use a single-sided perspective to collect images, which obviously cannot obtain more comprehensive and accurate information, and are susceptible to misjudgment due to the influence of material surface factors

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