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Morphological filtering-based steel wire rope broken wire detection method under strong jitter

A technology of morphological filtering and detection methods, applied in image enhancement, image data processing, instruments, etc., can solve problems such as insufficient jitter and noise, and achieve the effect of eliminating the trend of magnetic flux leakage signals

Pending Publication Date: 2021-11-12
青岛明思为科技有限公司
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  • Abstract
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Problems solved by technology

[0006] From the above analysis, it can be seen that the existing wire rope broken wire diagnosis technology is insufficient in denoising, especially jitter noise

Method used

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  • Morphological filtering-based steel wire rope broken wire detection method under strong jitter
  • Morphological filtering-based steel wire rope broken wire detection method under strong jitter
  • Morphological filtering-based steel wire rope broken wire detection method under strong jitter

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Embodiment

[0073] figure 1 It is a flowchart of a wire rope broken wire detection method based on morphological filtering under strong jitter of the present invention.

[0074] In this embodiment, there are five broken wires at different positions on the surface of the experimental steel wire rope, and the detection device with a 20-way Hall matrix is ​​used to scan the surface of the steel wire rope to obtain figure 1 20 channels of magnetic flux leakage signals shown in (a), and figure 1 Magnetic flux leakage image shown in (b). It can be observed that the five broken wires are not obvious in the magnetic flux leakage signal and image, which are mainly affected by three factors. The first is that the collected magnetic flux leakage signals do not have the same baseline due to the difference of different Hall matrices. The second is the impact of continuous wave noise on the signal-to-noise ratio. The third factor is the effect of randomly occurring jitter noise on the signal-to-noi...

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Abstract

The invention discloses a morphological filtering-based steel wire rope broken wire detection method under strong jitter. The method comprises the following steps: firstly collecting a magnetic flux leakage signal, and then detrending the collected magnetic flux leakage signal and eliminating strand wave noise so as to make preparation for subsequent morphological filtering; then eliminating jitter noise of the magnetic flux leakage signal based on a morphological filtering algorithm to eliminate the influence of external factors, so that the broken wire is displayed more obviously in the magnetic flux leakage signal and an image; and finally, carrying out broken wire visualization processing on the magnetic flux leakage signal after the jitter noise is removed, so that the broken wire is clear and visible, and the method has the characteristics of simplicity in operation, high detection accuracy and the like.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing, and more specifically relates to an online detection method for broken steel wire ropes based on morphological filtering under strong jitter. Background technique [0002] Today, steel wire ropes are widely used in scenarios such as cargo transportation, elevators and dams. However, wire ropes are subject to damage due to corrosion, abrasion, or other factors, and such damage is unavoidable. The local defect on the surface of the wire rope is a common defect of the wire rope. If this kind of defect is not detected in time, it may cause great losses to people's lives and property. For example, the Arecibo Observatory in Puerto Rico, once the largest single-dish radio telescope in the world, collapsed in 2020 because the wire rope was not replaced in time. Therefore, in order to prevent accidents caused by wire rope damage and fracture, the wire rope needs to confirm the surface ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00G06T5/30G06T7/90
CPCG06T7/0002G06T5/30G06T7/90G06T2207/20048G06T2207/30242G06T5/70
Inventor 刘志亮任礼源左明健
Owner 青岛明思为科技有限公司
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