Machine vision-based method and device for online detecting multi-rope multi-layer wound rope guiding states

A technology of machine vision and rope arranging, applied in the field of visual inspection, can solve the problems of inability to monitor large size, multi-row rope area reel and rope status monitoring, etc., and achieve the effect of convenient installation and maintenance of equipment and wide application range

Active Publication Date: 2017-11-28
CENT SOUTH UNIV
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Problems solved by technology

[0004] The present invention provides an online detection method and device for multi-rope multi-layer winding and arranging state based on machine vision. The problem of condition monitoring, this metho

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  • Machine vision-based method and device for online detecting multi-rope multi-layer wound rope guiding states
  • Machine vision-based method and device for online detecting multi-rope multi-layer wound rope guiding states
  • Machine vision-based method and device for online detecting multi-rope multi-layer wound rope guiding states

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0043] Such as figure 1 and figure 2 As shown, a multi-rope drum multi-layer winding rope state online detection device based on machine vision, including two industrial cameras (12, 13), camera bracket 1, dust cover (4, 5), supplementary light (2,3), gigabit network switch 14, rotary encoder 11, gigabit network cable 14 and host computer 16;

[0044] A camera bracket 1 is installed on one side of the reel out of the rope, and each industrial camera 12, 13 is installed side by side on the camera bracket 1 facing a rope area 8, 9, and a supplementary light (2, 3) is installed under each industrial camera. ) balanced illumination, the rotary encoder 11 is located at the shaft end of the reel 7, the images collected by the two industrial cameras (12, 13) and the signal of the rotary encoder 11 are transmitted to the upper computer 16 through the Gigabit...

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Abstract

The invention discloses a machine vision-based method and device for online detecting multi-rope multi-layer wound rope guiding states. The method comprises the following steps of: setting an industrial camera at each rope guiding area; carrying out inter-frame template image matching on an acquired image sequence; obtaining a final target tracking frame; automatically tracking the rope guiding state by utilizing judgement carried out on position information of the target tracking frame; and when transition among a plurality of ropes is out of sync or a single rope guiding area has a rope disorder fault, carrying out real-time detection and giving alarm information. According to the method and device, the condition that a single rope is highly stressed as the transition is out of sync or abrasion of steel wire ropes is increased due to rope disorder is avoided, and benefit is brought to ensure the safe operation of ultra-deep well enhancing equipment and decrease the economic loss.

Description

technical field [0001] The invention belongs to the field of visual detection, and in particular relates to an online detection method and device for multi-rope multi-layer winding and arranging state based on machine vision. Background technique [0002] At present, the mining of mineral resources in our country is still in the shallow layer due to technical limitations. With the depletion of shallow mineral resources, the country has proposed the goal of mining mineral resources to the deep layer. The multi-rope multi-layer winding hoist is proposed by experts in the field of mine hoisting. A kind of hoisting equipment that satisfies the ultra-deep and high-speed working conditions. In order to ensure the safe operation of the equipment and avoid the mutual extrusion of the steel wire ropes when the ropes are in disorder, the wire ropes are worn out. Real-time monitoring of the synchronicity of the transition between the layers of the steel wire rope. When a fault occurs, ...

Claims

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Application Information

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IPC IPC(8): G06T7/246G06T7/32B66D1/36B66D1/40
Inventor 谭建平王巧斌薛少华石理想杨超
Owner CENT SOUTH UNIV
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