CN-115908817-B - Concentrated pool coal water boundary line video image recognition device and method

Abstract

The invention discloses a video image recognition device and method for a coal water boundary line of a concentration tank, wherein the video image recognition device comprises a concentration tank fixing module, a moving module, an image acquisition module and an image processing module which are sequentially connected, the moving module adopts a movable guide rail, the image acquisition module is driven to acquire video information in the concentration tank under the guidance of the concentration tank fixing module, and the video information is analyzed and processed based on the image processing module to obtain the quantity of coal particles, so that the coal water boundary line is recognized. The invention has the characteristics of non-contact and intelligent through the image processing method, has lower dependence on hardware such as sensors and the like by means of developed mature image processing technology and data transmission technology, and is easy to upgrade and reform.

Inventors

• WU BAOLEI
• YAN ZIJI
• LIN WEIHAO
• ZHANG JIE
• Zhai Yanrui
• SHEN YANG
• YANG TAO

Assignees

• 中国矿业大学
• 徐州宏远通信科技有限公司

Dates

Publication Date

20260508

Application Date

20221222

Claims (4)

1. 1. The device for identifying the video image of the coal water boundary line of the concentration tank is characterized by comprising a concentration tank fixing module, a moving module, an image acquisition module and an image processing module which are connected in sequence; The movable module adopts a movable guide rail, drives the image acquisition module to acquire video information in the concentration tank under the guidance of the concentration tank fixing module, and analyzes and processes the video information based on the image processing module to obtain the quantity of coal particles so as to identify the boundary line of coal moisture; the concentrated pool coal water boundary video image recognition method based on the concentrated pool coal water boundary video image recognition device comprises the following steps: acquiring video information in a concentration pool, and processing the video information frame by frame to obtain image information; Analyzing and processing the image information to obtain the quantity of coal particles, and identifying a coal moisture boundary line based on the quantity of the coal particles; The process of analyzing and processing the image information comprises the steps of carrying out Gaussian smoothing on the image information, carrying out gray processing on the image information, carrying out self-adaptive threshold processing on the gray processing image to obtain a black-and-white image of particles, carrying out denoising processing on the black-and-white image of the particles, searching the outermost contour of the particles, extracting circumscribed rectangular coordinates of the contour, and drawing circumscribed rectangular, thereby obtaining the quantity of coal particles; The process of identifying the coal water boundary line comprises the steps of presetting gray values in a circumscribed rectangular area based on the gray image, counting the occurrence frequency of each pixel point, assigning 0 to the occurrence frequency of a white pixel point, taking the gray value with the highest occurrence frequency in a counting result as the brightness of a current image frame, and taking the position of a current underwater camera as the coal water boundary line position when the brightness of two continuous image frames is 0.
2. 2. The concentrated tank coal moisture boundary video image recognition device according to claim 1, wherein, The image processing module is respectively connected with the image acquisition module and the movable guide rail, and is used for analyzing and processing the video information acquired by the image acquisition module and identifying the coal water boundary line by combining the operation data of the movable guide rail.
3. 3. The concentrated pool coal moisture boundary video image recognition device of claim 2, wherein, The movable guide rail rotates through the motor, and the running data of the motor is uploaded to the image processing module through the counter wheel.
4. 4. The concentrated pool coal moisture boundary video image recognition device of claim 2, wherein, The image acquisition module adopts an underwater camera to move on the movable guide rail to acquire video information.

Description

Concentrated pool coal water boundary line video image recognition device and method Technical Field The invention belongs to the technical field of concentration tank coal slime deposition thickness measurement, and particularly relates to a concentration tank coal moisture boundary line video image recognition device and method. Background The slime water treatment is taken as an important step in the whole coal production washing and separating process, and the quality of circulating water is related to the washing and separating process, so that the production efficiency and the product quality of a coal preparation plant are affected. Concentration is the mainstream mode of current slime water treatment, and a large amount of insoluble water particles and superfine slime particles in slime water are rapidly precipitated through reasonable addition of medicaments. The sedimentation level of insoluble water particles in the slime water is accurately measured, so that the safe operation of a thickener is ensured, the washing efficiency is improved, and the intelligent recognition device for the coal water boundary line of the concentration tank and the thickness calculation is of great significance. At present, the traditional detection method mainly comprises the following steps: (1) Manual measurement method The manual measuring method is to measure through a manual probe rod or detect the current or torque of a motor to reflect the working condition of the thickener, and determine the coal water boundary line according to the comparison experience value of the detection data and the manual detection. The method has the advantages of low coal slime treatment efficiency, high medicament consumption, difficult control of product quality, strong subjective intention, and large current change due to the influence of voltage fluctuation of a power grid, so that the working condition of the thickener is unstable, the result is adversely affected, and errors often occur. Sometimes, the coal slime is pressed and raked accidents are caused by misjudgment, so that the production requirement cannot be met. (2) Mechanical measurement method The mechanical measuring principle is that a fixed concentration value is set in a controller, a servo motor drags a concentration detector to move up and down until the detection value of a concentration detection sensor is equal to a set value, and the position of a water-coal boundary line can be obtained. At the moment, the depth of the thickener minus the motion quantity of the servo motor is the thickness of the coal slime, and after the concentration of the current interface is changed, the controller readjusts the position of the concentration sensor until the detection value of the sensor is equal to the set value. Mechanical detection can detect the thickness of the coal slime, but has the problems of complex operation and high installation difficulty. (3) Acoustic wave measurement The acoustic wave measurement method mainly utilizes a reliable ultrasonic echo detection principle to detect the distance between a sensor probe and a coal moisture interface and the ground distance, and simultaneously, the thickness of a coal slime layer is accurately and comprehensively measured. Practice proves that the speed of sound waves is easily affected by factors such as sound velocity errors, air density, humidity, temperature and the like, and measurement accuracy errors can be caused. Thus, obtaining a more accurate value of the coal slurry thickness using ultrasonic measurement is not easily accomplished. (4) Isotope detection method Isotope detection is based on the principle that gamma rays attenuate to a different extent as they pass through substances of different densities. When the interface instrument works, the emission source emits gamma rays to the bottom of the slime water, the gamma rays penetrate through the slime water and are received by the detector, and the detector adjusts the depth of the detector in the slime water according to the attenuation degree of the rays, so that the intensity of the rays received by the detector is equal to a set value, and a coal moisture boundary line is obtained. Because the method uses rays, certain potential safety hazards exist. The above-mentioned studies have achieved various methods for obtaining the coal moisture boundary line, but all have respective problems. The manual measurement method has strong subjective intention, unstable judgment only by personal experience, complex mechanical measurement method operation, high installation difficulty, excessive influence factors of the acoustic measurement method, inaccurate measurement, certain potential safety hazard of the isotope detection method, and a new method for safely, accurately and conveniently identifying the coal water boundary line is needed to be found. Disclosure of Invention The invention aims to provide a video image recognition device and a video image rec