Coal-water slurry fluidity detection device and detection method based on deep learning

Abstract

The invention discloses a coal-water slurry fluidity detection device and detection method based on deep learning. A light source and a laser emitter are arranged in a semi-closed box; a side camera is arranged on one side of the inner wall, and a side camera is arranged on the opposite side The side is equipped with a side back panel light source; the top surface is equipped with a top camera, and the corresponding bottom is equipped with a bottom surface back panel light source; the top is also equipped with a material inlet; the bottom of the material inlet is equipped with an electromagnetic valve; the bottom of the inner wall of the semi-closed box There is a quantitative mold; there is also a piston above the material inlet; it also includes an embedded AI platform, a side camera, and a top camera are connected to the embedded AI platform. The video of the coal slurry dripping process is collected through the side camera, and the morphological characteristics of the coal slurry in the video are analyzed. Through the laser transmitter and the top camera, the image of the coal slurry spread after the drop is collected and the volume of the dripping coal slurry is analyzed. Considering the coal The dripping state of the slurry and the dripping volume of the coal slurry are used to obtain the fluidity test results.

Description

technical field [0001] The invention relates to the technical field of coal-water slurry in mineral processing, in particular to a coal-water slurry fluidity detection device and a detection method based on deep learning. [0002] technical background [0003] "Rich in coal, poor in oil, and low in gas" is the basic feature of my country's energy structure, and the distribution of my country's coal resources is extremely uneven, of which 60-70% are concentrated in the western region, so the long-distance transportation of coal resources has important research value . In addition to conventional water, rail and truck transportation, coal pipeline transportation is a new way to solve the shortage of coal transportation in my country. The current relatively mature pipeline coal transportation scheme is to mix coal, water, and additives to make coal-water slurry, and then realize the pipeline transportation of coal-water slurry through pump stations and pipelines, and add dehydra...

AI Technical Summary

Problems solved by technology

The biggest advantage of deep learning is to simulate the cognitive process of the human brain to things in an end-to-end mode by establishing and training the neural network model. Therefore, the introduction of deep learning methods into the fluidity detection of coal-water slurry can greatly save the manpower and labor required for testing. Material resources, to achieve intelligent detection, standardization, and specialization, but there is still no application of this method in the field of coal water slurry technology

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