Vision algorithm based blockage detecting method of mineral belt transferring machine head

Abstract

A vision algorithm based blockage detecting method of a mineral belt transferring machine head is applicable to belt conveying in a coal well. The method comprises the steps of processing an image shot by a camera through a model; estimating the coal conveying speed of a belt conveyor A and a belt conveyor B; primarily determining whether belts convey coal normally; calculating the speed difference between the belt conveyor A and the belt conveyor B; calculating the coal discharging capacity based on the vision partitioning algorithm and vision measurement based coal quantity estimation; comparing the difference between the coal input and the coal output; and determining the blockage of the mineral belt transferring machine head based on the speed difference of the belt conveyor A and thecurrent parameter as decision assistants. The method is simple in steps, and good in detecting effect. The problem that coal blocks cause blockage during being conveyed through two belt conveyors (conveyed from the belt conveyor A to the belt conveyor B) can be effectively solved.

Description

technical field [0001] The invention relates to a method for detecting clogging of a coal mine belt transfer head, and is particularly suitable for a detection method for detecting blockage of a coal mine belt transfer head based on a visual algorithm used in coal mine production. Background technique [0002] With the continuous development of my country's coal production, mine transportation has tended to be belt-based, high-speed, and large-capacity belt conveyors have become the main tool for coal mine transportation in my country. Belt transfer plays an important role in coal production and transportation. If the belt is blocked during transfer, it will seriously affect the stability and safety of coal mine transportation. The existing technology finds that the blockage fault takes a long time, which affects the normal operation of the belt, affects the efficiency of coal transportation, and affects the efficiency of coal production. When the blockage is found, the low...

AI Technical Summary

Problems solved by technology

At present, most coal pile sensors are used for detection, which can be roughly divided into three categories: 1) coal pile sensors based on travel switches; 2) coal pile sensors based on mercury switches or kerosene switches; 3) coal pile sensors based on electrode principles; the above Both are based on the touch detection method to realize the detection of belt blockage. It is inevitable that a large piece of coal will pass by, or an alarm will easily occur when a worker touches it by mistake.

There are also the following disadvantages: 1) the coal mine environment is complex, and the travel switch is often unable to block the early warning in time due to external environmental influences such as coal dust and humidity, and its durability, sensitivity, and reliability are not ideal; 2) mercury or kerosene switches cannot be high. Accurate detection, weak anti-interference ability; 3) The electrode type coal pile sensor needs to clean the electrode seat regularly, the maintenance frequency is high, the accuracy rate and false alarm rate are related to the dry humidity of the coal

4) Using a contact sensor, there is mechanical wear and the friction between the coal block and the sensor is easy to generate sparks, which affects safety

5) The detection is not visualized, only some digital indicators can be seen, and the detection effect is poor

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