Coal yield monitoring method based on image analysis

Abstract

The invention discloses a coal yield monitoring method based on image analysis. The method utilizes a rectangular frame installed on the handpiece of a coal mine main shaft belt conveyor in advance asa reference and comprises the following steps that: firstly, labeling the installed rectangular frame in a collected surveillance image; then, taking the left lower corner of the labeled rectangle asan original point (0,0) to establish an image pixel coordinate system; then, utilizing an edge detection algorithm to label the edge curve of a coal accumulation shape on the handpiece belt; then, calculating a percentage of an area surrounded by the edge curve and the lateral coordinate axis of the coordinate system and the area of the labeled rectangle; then, according to parameters including the frame number of the surveillance image, belt operation speed and the like, calculating the volume and the quality of a coal quantity which passes through the handpiece in unit time; and finally, obtaining the mass of the coal quantity which passes through the handpiece in certain time.

Description

technical field [0001] The invention relates to a coal output monitoring method based on image analysis, and belongs to the technical field of coal output monitoring devices. Background technique [0002] With the development of coal mine automation and information technology, most mines in China have deployed or are in the process of deploying coal output monitoring systems, but the existing coal output monitoring systems have some defects, for example: 1. The existing Coal production monitoring methods cannot transmit monitoring data in a real-time, safe and effective manner; 2. The front end of some coal production monitoring methods is a sensor, and the effectiveness of production monitoring is easily affected by the sensitivity of the sensor. Contents of the invention [0003] In order to overcome the deficiencies of the existing technology, the present invention proposes a coal production monitoring method based on image analysis, which is less affected by front-end ...

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Problems solved by technology

[0002] With the development of coal mine automation and information technology, most mines in China have deployed or are in the process of deploying coal output monitoring systems, but the existing coal output monitoring systems have some defects, for example: 1. The existing Coal production monitoring methods cannot transmit monitoring data in real time, safely and effectively; 2. The front end of some coal production monitoring methods is sensors, and the effectiveness of production monitoring is easily affected by the sensitivity of sensors

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