An online non-destructive testing system for steel wire ropes

Abstract

This invention discloses an online non-destructive testing system for steel wire ropes, relating to the field of non-destructive testing technology for steel wire ropes. It includes a testing module, a pre-processing module, a re-processing module, a marking module, and a display module. The marking module is used to determine the accuracy of defect presence, as well as the type and depth of defects, based on the pre-processing and re-processing modules. It then applies ink to the exterior of the tested steel wire rope according to the defects. This application marks defects using the marking module. First, an anomaly acquisition unit acquires anomaly values ​​from the pre-processing and re-processing modules to determine the presence of defects. If a defect exists, the marking device is activated to mark the steel wire rope based on the time it reaches the marking device's position. This allows for accurate determination of the defect location and type, solving the problem of inaccurate later positioning of the tested steel wire rope.

Description

Technical Field

[0001] This invention relates to the field of non-destructive testing technology for steel wire ropes, specifically to an online non-destructive testing system for steel wire ropes. Background Technology

[0002] Steel wire rope is a commonly used flexible load-bearing component in modern industry, widely used in coal mining, transportation, construction, and other sectors. Therefore, its safety is a key concern. Non-destructive testing of steel wire rope is based on the fact that it is made of ferromagnetic material. Due to the good magnetic permeability of steel wire rope, during leakage magnetic field testing, the excitation magnetic field is controlled to magnetize the steel wire rope along its axial direction. The magnetic lines of the magnetic field pass through the steel wire rope. Since the permeability of ferromagnetic materials is much greater than that of air, if the material of the steel wire rope is uniform and continuous, and the surface and internal structure of the steel wire rope are intact, the magnetic lines of force will be almost completely distributed throughout the steel wire rope. When there are defects on the surface or inside the steel wire rope, it will cause magnetic field distortion and leakage magnetic field. Based on the formation and parameters of the leakage magnetic field, the location of damage to the steel wire rope can be determined.

[0003] Patent application number 201811231427.7 discloses a far-field eddy current detection system for steel wire rope surface defects. Specifically, it discloses the design of a rectangular excitation coil array to generate a constant eddy current. The eddy current changes slowly along the rope length direction, and the magnetic field signal generated by the eddy current contains defect signals, thus improving the strength of the secondary magnetic field on the indirect coupling path in far-field eddy current detection. A differentially connected rectangular receiving coil array is designed to overcome interference from temperature drift, external electromagnetic fields, rope vibration, etc. on the signal. A post-processing module specifically designed to identify different defect types is also included, simplifying the post-processing system.

[0004] In the above technical solution, since the defects of the wire rope include internal fracture and external wear, when detecting the defects of the wire rope, even under the action of the rectangular excitation coil, the defects of the wire rope cannot be displayed and distinguished. It can only be determined that the wire rope has defects. After the wire rope is detected, the position of the defect of the wire rope needs to be measured according to the position on the display screen in order to locate the defect position. Summary of the Invention

[0005] The purpose of this invention is to provide an online non-destructive testing system for steel wire ropes.

[0006] The technical problem solved by this invention is to address the issue in the prior art where, after inspecting a wire rope, the location of the defect needs to be adaptively measured according to the position of the display screen, resulting in inaccurate marking of the defect location.

[0007] The present invention can be implemented through the following technical solutions: A wire rope on-line non-destructive testing system, including a detection module, a primary processing module, a secondary processing module, a marking module, and a display module;

[0008] The detection module is used to pass a magnetic flux signal into the wire rope to be tested entering the internal of the non-destructive testing device, and detect the changes in the magnetic flux signal and the magnetic flux leakage signal intensity of the wire rope to be tested under the action of the magnetic flux signal;

[0009] The primary processing module is used to obtain the magnetic flux leakage signal, process the magnetic flux leakage signal to obtain a preliminary preprocessing value, display the preprocessing value on the display module, display the amplitude change of the magnetic flux leakage signal, and judge whether there is a defect in the wire rope to be tested by judging the amplitude change of the magnetic flux leakage signal;

[0010] The secondary processing module is used to obtain the magnetic flux leakage signal and the magnetic flux signal, judge whether there is a defect in the wire rope to be tested according to the intensity of the magnetic flux leakage signal and the magnetic flux signal, and when there is a defect in the wire rope to be tested, judge the type and depth of the defect;

[0011] The marking module is used to accurately judge the existence of the defect according to the primary processing module and the secondary processing module, as well as judge the type and depth of the defect, and spray and dye ink on the outside of the wire rope to be tested according to the defect.

[0012] A further technical improvement of the present invention lies in: The primary processing module includes a data collection unit, a data aggregation unit, and a data display unit. The data collection unit is used to collect the magnetic flux leakage signal intensity according to the wire rope to be tested during movement. The data aggregation unit is used to process the magnetic flux leakage signal of the data acquisition unit to judge whether there is a defect in the wire rope to be tested. The data display unit is used to display the magnetic flux leakage signal obtained by the data acquisition unit.

[0013] A further technical improvement of the present invention lies in: The data aggregation unit records the magnetic flux leakage signal of the data collection unit as X, and the magnetic flux leakage signals obtained according to the set sampling time t are Xt1, Xt2... Xtn, where n is a positive integer greater than zero. Calculate the difference between adjacent discrete points △X = Xtm - Xt(m - 1), where m is a positive integer greater than zero. Calculate the magnitudes of the values of △X and XT1, XT2. XT1 and XT2 are comparison thresholds, and XT1 < XT2; when △X > XT2, discard the two values of Xtm and Xt(m - 1) corresponding to △X to remove noise points; when XT1 < △X < XT2 and L consecutive groups of △X are all between XT1 and XT2, where L is a set value, it is determined that a defect exists.

[0014] A further technical improvement of the present invention is that: the data aggregation unit arranges the remaining magnetic flux leakage signals X after discarding the corresponding Xtm and Xt(m-1) values according to the sampling time, fills the vacant positions after discarding with the average value of the two end values, obtains the set of difference values of the same-period sampling values △X, performs discrete numerical fitting on it, displays the fitted curve on the display module, and determines the starting point and ending point of data anomaly by judging the slope value of the fitted curve.

[0015] A further technical improvement of the present invention is that: the reprocessing module includes a magnetic flux leakage signal acquisition module, which is used to acquire magnetic flux signals and magnetic flux leakage signals, perform denoising processing on the obtained magnetic flux signals and magnetic flux leakage signals, obtain two magnetic flux signal curves and magnetic flux leakage signal curves that change with the movement position of the measured steel wire rope, and calculate the defect position after processing the magnetic flux signal curve and the magnetic flux leakage signal curve;

[0016] Derivation is performed on the curve corresponding to the defect position to obtain multiple groups of derivative values, and each group of derivative values, magnetic flux leakage signals, magnetic flux signals and preset magnetic flux signals are input into the neural network for identification to calculate the defect type and cross-sectional loss of the measured steel wire rope.

[0017] A further technical improvement of the present invention is that: the ring recording module obtains the abnormal area in the preliminary processing module and records it as the abnormal area Q1. The abnormal area Q1 includes the Q1 starting position, Q1 ending position and Q1 range value. The ring recording module obtains the abnormal area in the reprocessing module and records it as the abnormal area W1. The abnormal area W1 includes the W1 starting position, W1 ending position and W1 range value. If any one of the Q1 starting position, Q1 ending position, Q1 range value coincides with the corresponding W1 starting position, W1 ending position, W1 range value, the re-determination module is started to determine whether a defect exists.

[0018] A further technical improvement of the present invention is that: the re-determination module obtains judgment values Sqa1, Sqa2 and Sqa3 by comparing the Q1 starting position and the W1 starting position, the Q1 ending position and the W1 ending position, and the Q1 range value and the W1 range value respectively, and through the formula Judge whether the abnormal area Q1 and the abnormal area W1 coincide. x1, x2 and x3 are set proportional values; B1, B2 and B3 are set proportional values.

[0019] A further technical improvement of the present invention is that: when F(Sqa) ≥ Fm, the abnormal area Q1 and the abnormal area W1 coincide; when F(Sqa) < Fm, the abnormal area Q1 and the abnormal area W1 do not coincide, and Fm is a preset value.

[0020] A further technical improvement of the present invention is that when abnormal region Q1 and abnormal region W1 overlap, the ring recording device is activated, the ring recording device obtains the defect type and defect depth, selects the corresponding inkjet color, and performs inkjet processing on the fault location according to the moving speed of the steel wire rope being tested.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] 1. This application marks defects using a ring-marking module. First, the anomaly acquisition unit acquires the anomaly values ​​from the initial processing module and the reprocessing module respectively. The defect area obtained in the initial processing module is defined as an anomaly area Q1, and the defect area obtained in the reprocessing module is located as an anomaly area W1. By retrieving the feature values ​​of anomaly areas Q1 and W1, the overlap between them is compared. If they overlap, the current area is determined to be a defect area. The initial position of the defect in the tested wire rope is recorded, and the time it takes for the tested wire rope to reach the ring-marking device position is obtained based on the detection speed of the wire rope. By activating the ring-marking device, the tested wire rope is marked, thereby enabling marking on the tested wire rope body. This allows for accurate determination of the defect location and type of the tested wire rope, solving the problem of inaccurate positioning of the tested wire rope in the later stages.

[0023] 2. This application uses a detection module to introduce a magnetic flux signal into the steel wire rope under test that enters the non-destructive testing system. An infrared acquisition module collects the basic external information of the steel wire rope and outputs the images of the steel wire rope acquired by the infrared acquisition module, resulting in a series of continuous images. Simultaneously, the magnetic flux signal and leakage magnetic signal of the steel wire rope are detected. These signals are then processed separately by a pre-processing module and a re-processing module. Based on the combined action of the pre-processing and re-processing modules, the presence, type, and depth of defects in the steel wire rope are determined, and these are input into the continuous images. The continuous images are then visually marked and distinguished, allowing information such as the location and type of defects in the steel wire rope to be obtained from the continuous images. Attached Figure Description

[0024] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0025] Figure 1 This is a system principle block diagram of the present invention;

[0026] Figure 2 This is a schematic diagram of the ring marking device structure of the present invention;

[0027] Figure 3 This is a schematic diagram of the power component structure of the present invention.

[0028] In the diagram: 1. Slide rail; 2. Inkjet control box; 3. Sliding block; 4. First support frame; 5. Mounting telescopic rod; 6. Spray head; 7. Side telescopic rod; 8. Side baffle; 9. Power channel; 10. Limiting slider; 11. Outer ring gear; 12. Drive motor; 13. Inner ring gear; 14. Drive gear; 15. Intermediate support rod. Detailed Implementation

[0029] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided.

[0030] Please see Figure 1-3 As shown, an online non-destructive testing system for steel wire ropes includes:

[0031] The detection module is used to pass a magnetic flux signal into the steel wire rope under test inside the device and detect the intensity change of the leakage magnetic signal of the steel wire rope under test under the action of the magnetic flux signal.

[0032] The initial processing module is used to perform preliminary processing on the intensity changes of the leakage magnetic signal to obtain preprocessed values. These preprocessed values ​​are then displayed on the display module to show the amplitude changes of the leakage magnetic signal. By judging the amplitude changes of the leakage magnetic signal, it is determined whether there are defects in the wire rope.

[0033] The reprocessing module is used to further process the acquired magnetic leakage signal, determine the specific type of the magnetic leakage signal, and mark it on the display module according to the type of the magnetic leakage signal. The display module then makes a preliminary record of the defect location and fault of the tested wire rope.

[0034] The marking module is used to mark the starting position and the node position of the defect on the steel wire rope body when the location of the defect is obtained by the initial processing module, so as to facilitate the subsequent fine testing and processing of the defects of the steel wire rope.

[0035] The impurity impact judgment module is used to determine whether there are impurities on the surface of the steel wire rope, such as oil or sludge, based on the size and surface of the steel wire rope being tested. These impurities affect the change in the leakage magnetic signal intensity of the steel wire rope, thereby affecting the accuracy of the defect judgment of the steel wire rope.

[0036] The information marking module is used to record the markings of the tested wire rope, which facilitates the later traceability of the tested wire rope.

[0037] Specifically, the detection module includes an excitation unit, a magnetic leakage signal detection unit, and a signal acquisition unit. Specifically, first, the excitation unit is used to magnetize the wire rope entering the device axially. After magnetization, the wire rope will generate a certain magnetic leakage signal. The magnetic leakage signal is detected by the magnetic leakage signal detection unit to obtain the intensity of the magnetic leakage signal. Subsequently, the signal acquisition unit collects and processes the obtained magnetic leakage signal and sends it to the preliminary processing module.

[0038] First, the preliminary processing module includes a data collection unit, a data aggregation unit, and a data display unit. That is, the data collection unit collects the data from the signal acquisition unit. Subsequently, the data aggregation unit processes the data. Finally, through the data display unit, the processed data is displayed through the display module. The specific operation process of the data aggregation unit includes:

[0039] Record the magnetic leakage signal data of the signal acquisition unit as X, and obtain Xt1, Xt2... Xtn according to a certain sampling time. n is a positive integer greater than zero, and the sampling period is t, obtaining several groups of discrete points sorted by time. Calculate the difference between adjacent discrete points △X = Xtm - Xt(m - 1), where m is a positive integer greater than zero. Set comparison thresholds XT1 and XT2, where XT1 < XT2. Calculate the magnitudes of the value of △X and the values of XT1 and XT2. When △X > XT2, discard the two values of Xtm and Xt(m - 1) at this time to obtain valid discrete points Xtn. If the difference between adjacent discrete points is between the comparison thresholds, that is, XT1 < △X < XT2, and L consecutive groups of △X are all between the comparison thresholds, take the position of the measured wire rope in the state of Xtn at this time as the starting point of the predicted defect, and take the last group of Xtn when the last group of △X is between the comparison thresholds as the end point of the predicted defect, for a preliminary judgment on the existence of the defect. This process is used to remove miscellaneous points, especially for removing miscellaneous points with sharp amplitudes.

[0040] Arrange the valid △X separately according to the sampling period to obtain a series of discrete points. Define and fill the discarded values by taking the average of the values at both ends of the discarded value, obtaining a series of sampling value differences △X of the same period, and record them on the display screen of the display module. Fit the discrete △X to obtain a fitting curve, and display the fitting curve on the display module.

[0041] In this application, the process of fitting the discrete △X adopts the method of least squares fitting curve. Specifically, it adopts the multi-order fitting method of the least squares function polyfit of MATLAB to obtain a measurement curve approaching the real one, and preliminarily displays the above measurement curve through the data display unit.

[0042] The next step is the data aggregation unit, which performs further processing on the measured curves, specifically by determining their slopes. Multiple slope values ​​are obtained, and the slope is determined by judging these slope values. The value of the data is determined when the data increases at a certain position and multiple consecutive sets of data decrease until they are less than a set value. The position of the corresponding steel wire is calculated and displayed through the data display unit to obtain the position of the data anomaly, namely the initial position, the termination position, and the range of the data anomaly. The abnormal position of the steel wire rope under test is determined according to the value of the above anomaly.

[0043] The subsequent processing module includes a magnetic flux leakage signal acquisition module, which collects magnetic flux signals and magnetic flux leakage signals. The magnetic flux signals and magnetic flux leakage signals are then preprocessed separately, and the type of defect and the relative residual amount of the defect are obtained based on the numerical processing of the preprocessed magnetic flux signals and magnetic flux leakage signals. That is, it is determined whether the defect is an internal defect or an external defect, and the loss amount of the defect is calculated based on the relative values.

[0044] That is, the magnetic flux signal and leakage magnetic flux signal of the steel wire rope under test are acquired, and the acquired magnetic flux signal and leakage magnetic flux signal are denoised to obtain two magnetic flux signal curves and leakage magnetic flux signal curves that change with the change of the moving position of the steel wire rope under test.

[0045] By differentiating the magnetic flux signal curve and the leakage magnetic flux signal curve, the range of the obtained derivative curve is compared with the preset range value to calculate the defect location.

[0046] Based on the location of the defect, the curve within the range is retrieved. The curve from the defect start position to the defect end position is differentiated unit by unit time to obtain... Several derivative values ​​were obtained. rx is the relative value of the curve, m is a positive integer greater than 0. Each set of derivative values, the corresponding leakage magnetic signal, the corresponding magnetic flux signal, and the preset magnetic flux signal are input into the neural network for identification. The cross-sectional loss of the defect in the tested wire rope is calculated, and several sets of defect changes as the position of the tested wire rope are obtained.

[0047] The change in the cross-sectional loss of the defect in the steel wire rope under test is recorded on the display module.

[0048] The ring recording module includes an anomaly acquisition unit, an anomaly display unit, an anomaly judgment unit, and a ring recording device;

[0049] The anomaly acquisition unit acquires images of the steel wire rope entering the detection equipment through the infrared acquisition module, obtaining a set of continuous images. The anomaly display unit then denoises the obtained continuous images and displays them on the display module, and stores the obtained continuous images.

[0050] At the same time, the anomaly acquisition unit acquires the magnetic flux signal and leakage magnetic signal obtained from the reprocessing module, marks the magnetic flux signal and leakage magnetic signal according to the position of the wire rope, and then the anomaly display unit obtains a continuous wire rope image on the display module, and marks the corresponding magnetic flux signal and leakage magnetic signal information at its specific position.

[0051] The moving speed of the wire rope and the length of the wire rope obtained through the infrared acquisition module are obtained, and the moving speed and length of the wire rope are recorded on the display module.

[0052] The dimensions and length of the wire rope, the magnetic flux signal and leakage magnetic signal at the corresponding position are input into a multilayer neural network to calculate the cross-sectional loss at the specific position of the wire rope. The cross-sectional loss from the defects in the reprocessing module is located and recorded on the display module according to the movement of the wire rope.

[0053] The cross-sectional loss is analyzed and processed according to the preset value of the wire rope size. The cross-sectional loss and the preset value of the wire rope size are processed to determine whether the cross-sectional loss and the preset value of the wire rope size match within the set range. If they do not match, the wire rope is marked at this position.

[0054] As the wire rope moves, the time it takes for the wire rope to reach the predetermined mark position is obtained based on the wire rope's moving speed. When it reaches the mark position, the mark device is activated to mark the abnormal position of the wire rope.

[0055] The marking device is installed inside the detection equipment. When the detection equipment is activated, the marking device obtains the position of the wire rope, controls the wire rope to rotate and move forward, and marks abnormal positions from beginning to end.

[0056] The anomaly detection unit mainly obtains the fitted curve from the initial processing module through the loop recording module, locates the fitted curve and the wire rope image according to their positions, and marks the anomaly position on the wire rope image based on the anomaly position of the fitted curve, recording it as the anomaly region Q1.

[0057] The loop recording module obtains the location of the wire rope corresponding to the abnormal values ​​of magnetic flux signal and leakage magnetic signal in the reprocessing module, marks the abnormal location on the image of the wire rope, and records it as the abnormal area W1.

[0058] By comparing the starting and ending points of the ranges of abnormal area Q1 and abnormal area Q2, as well as the range sizes of abnormal area Q1 and abnormal area Q2, it is determined whether the abnormal position is accurate. If abnormal area Q1 and abnormal area Q2 coincide, the ring marking device is activated;

[0059] The ring marking device obtains the defect type and defect depth in the reprocessing module, selects different inkjet colors according to the defect type. For example, yellow is selected for internal defects and green is selected for external defects, and it is inkjet on the defect position of the steel wire rope. According to the defect depth, it is recorded on the ring marking device.

[0060] Specifically, obtain the characteristic value group of abnormal area Q1, that is, the starting position of abnormal area Q1, the ending position of abnormal area Q1, and the range value of abnormal area Q1; at the same time, obtain the characteristic value group of abnormal area W1, that is, the starting position of abnormal area W1, the ending position of abnormal area W1, and the range value of abnormal area W1. If one of the above characteristic value groups corresponds within a certain range, it is determined that abnormal area Q1 and abnormal area W1 can be compared and classified;

[0061] Input the characteristic value group of the above abnormal area Q1 and the characteristic value group of abnormal area W1 into the comparison module for comparison. According to each characteristic, the corresponding relative ratio Sqa is obtained, which are Sqa1 for the judgment of the starting position, Sqa2 for the ending position, and Sqa3 for the range value, that is

[0062] It is judged whether the abnormal positions coincide by processing the relative ratio Sqa;

[0063] The processing of the relative ratio Sqa includes: Where x1, x2, and x3 are set proportional values; B1, B2, and B3 are set proportional values.

[0064] If F(Sqa) >= Fm, it means that the coincidence degree is relatively high, indicating that abnormal area Q1 and abnormal area W1 coincide; if F(Sqa) < Fm, it means that abnormal area Q1 and abnormal area W1 do not coincide, and Fm is a preset value.

[0065] For non - coincident areas, different - colored printing inks are sprayed through the ring marking device, or for areas that cannot be inductively compared, another different - colored printing ink is sprayed for identification

[0066] The impurity judgment module includes an infrared sensing unit and an image recognition unit. First, the infrared sensing unit obtains the external picture of the measured steel wire rope, and the image recognition unit performs shadow marking on the abnormalities in the external picture of the measured steel wire rope, specifically as follows:

[0067] The size of the steel wire rope under test is obtained by an infrared sensing unit and recorded in a storage unit. It is then determined whether the size of the steel wire rope is greater than the original set value. If it is greater than the original set value, there are impurities on the outer surface of the steel wire rope. Subsequently, the magnetic flux signal and leakage magnetic signal of the steel wire rope under test at the location of the impurity are obtained to determine whether there are any abnormalities in the magnetic flux signal and leakage magnetic signal at that location. If there are any abnormalities, they are recorded in the system for subsequent manual processing.

[0068] The information tagging module is used to define the steel wire rope under test. The detection parameters of the steel wire rope under test are directly uploaded to the information tagging module. The information tagging module further processes the above parameters and tabulates and stores them inside the system to realize the tracking processing of the steel wire rope under test.

[0069] In the above process, the ring-marking device includes a slide rail 1, in which a power groove 9 is formed in the middle. A limit slider 10 is slidably arranged inside the power groove 9. The power groove 9 is arc-shaped, and the limit slider 10 is also arc-shaped, used to cooperate with the power groove 9. Therefore, two sets of limit sliders 10 are symmetrically arranged inside the power groove 9. A sliding block 3 is fixed to the limit slider 10 by a middle support rod 15. A power component is provided on the side of the middle support rod 15 to drive the limit slider 10 to slide inside the power groove 9, thereby controlling the spray head 6. The uniform spraying is applied to the outside of the steel wire rope being tested. Furthermore, a first support frame 4 is fixed on the sliding block 3, and a telescopic rod 5 is installed on the first support frame 4. An inkjet control box 2 is installed on the telescopic rod 5, and a spray nozzle 6 is provided at the inkjet output end of the inkjet control box 2. The spray nozzle 6 is located at the end of the telescopic rod 5. That is, in use, the extension of the telescopic rod 5 drives the spray nozzle 6 to move longitudinally, so that the spray nozzle 6 contacts the outside of the steel wire rope being tested. Because the distance between the spray nozzle and the steel wire rope being tested is shortened, splashing during spraying is avoided.

[0070] A side telescopic rod 7 is fixed to the side of the spraying end 6, and a side baffle 8 is fixed to the end of the side telescopic rod 7. This baffle 8 is used to press against the steel wire rope being tested when the side telescopic rod 7 extends, thereby further preventing splashing caused by the spraying end 6 during spraying.

[0071] The power assembly includes a drive motor 12, which is fixed to a central support rod 15. The central support rod 15 has a rotating groove, inside which a drive gear 14 is rotatably mounted. The drive gear 14 meshes with an inner ring gear 13 and an outer ring gear 11, and is driven and controlled by the drive motor 12. The outer ring gear 11 and the inner ring gear 13 are fixed above the slide rail 1. When the drive motor 12 drives the drive gear 14 to rotate, the drive gear 14 moves under the meshing action of the inner ring gear 13 and the outer ring gear 11, controlling the spraying action of the spray head 6.

[0072] In use, this invention first introduces a magnetic flux signal into the steel wire rope being tested through a detection module. An infrared acquisition module then collects the basic external information of the steel wire rope and outputs the images of the steel wire rope collected by the infrared acquisition module, resulting in a series of continuous images. Simultaneously, the magnetic flux signal and leakage magnetic signal of the steel wire rope are detected. These signals are then processed separately by a pre-processing module and a re-processing module. Based on the combined action of the pre-processing and re-processing modules, the presence, type, and depth of defects in the steel wire rope are determined, and these are input into the continuous images for intuitive marking and differentiation.

[0073] The defect is then marked using the ring-marking module. First, the results are compared and confirmed. Then, the continuous images from the infrared acquisition module are denoised and recorded on the display module by the anomaly acquisition unit. Next, the anomaly acquisition unit acquires the anomaly values ​​from the initial processing module and the reprocessing module respectively. The defect area obtained from the initial processing module is defined as anomaly area Q1, and the defect area obtained from the reprocessing module is located as anomaly area W1. By retrieving the feature values ​​of anomaly areas Q1 and W1, they are compared to see if they overlap. If they overlap, the current area is determined to be a defect area. The initial position of the defect in the tested wire rope is recorded, and the time it takes for the tested wire rope to reach the ring-marking device position is obtained based on the detection speed of the wire rope. The ring-marking device is then activated to mark the tested wire rope. Specifically: The drive motor 12 is started, which drives the drive gear 14 to rotate. Under the action of the inner ring gear 13 and the outer ring gear 11, the limit slider 10 slides inside the power groove 9, thereby driving the sliding block 3 to slide. At the same time, the inkjet control box 2 is used to spray the printing ink through the spray nozzle 6 onto the steel wire rope being tested. In this application, the extension of the telescopic rod 5 is used to bring the spray nozzle 6 closer to the steel wire rope being tested, avoiding splashing during spraying and affecting subsequent position tracking. At the same time, the extension of the side telescopic rod 7 is used to press the side baffle 8 against the outside of the steel wire rope being tested, further avoiding splashing during spraying. In this application, the symmetrically rotating spray nozzle 6 achieves sufficient spraying of the outer ring of the steel wire rope being tested. At the same time, the arc-shaped spray nozzle 6 further ensures sufficient spraying performance.

[0074] If abnormal regions Q1 and W1 do not overlap, but a set of characteristic values ​​of abnormal regions Q1 and W1 correspond to each other, it indicates that there is a defect here, but the defect is unclear. Therefore, the ring marking device is activated to merge abnormal regions Q1 and W1 into one region and spray different colored inks onto it for marking. The above data is recorded as an anomaly value and stored in the information marking module. The information marking module is used to store the above data and then process it.

[0075] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method of using a steel wire rope on-line non-destructive testing system, characterized by: The method comprises the following operations, The data collection unit records the magnetic flux leakage signals of the data collection unit as X, and obtains magnetic flux leakage signals Xt1, Xt2...Xtn according to the set sampling time t, n is a positive integer greater than zero, calculates the difference △X=Xtm-Xt(m-1) of adjacent discrete points, m is a positive integer greater than zero, calculates the value of △X and the size of XT1 and XT2, XT1 and XT2 are comparison thresholds, and XT1<XT2; when △X>XT2, the two values Xtm and Xt(m-1) corresponding to △X are discarded to remove the noise points; when XT1<△X<XT2, and the consecutive L groups of △X are all between XT1 and XT2, L is a set value, it is determined that the defect exists.

2. A method of using a steel wire rope on-line non-destructive testing system according to claim 1, characterized in that, The method comprises the following operations: the data collection unit arranges the remaining magnetic flux leakage signals X after discarding the values corresponding to Xtm and Xt(m-1) according to the sampling time, fills the empty positions after discarding with the average values of the two end values, obtains the difference value set △X of the same period sampling values, performs discrete value fitting on △X, displays the fitting curve obtained by fitting on the display module, and judges the starting point and the ending point of the data anomaly by judging the slope value of the fitting curve.

3. The method of using a steel wire rope on-line non-destructive testing system of claim 1, wherein, The ring recording module obtains the abnormal area in the preliminary processing module and records it as an abnormal area Q1, the abnormal area Q1 contains a Q1 starting position, a Q1 ending position and a Q1 range value, the ring recording module obtains the abnormal area in the reprocessing module and records it as an abnormal area W1, the abnormal area W1 contains a W1 starting position, a W1 ending position and a W1 range value, if any of the Q1 starting position, the Q1 ending position and the Q1 range value coincides with the corresponding W1 starting position, W1 ending position and W1 range value, the re-determination module is started to determine whether the defect exists.

4. The method of using a steel wire rope on-line non-destructive testing system of claim 3, wherein, The re-determination module obtains judgment values Sqa1, Sqa2 and Sqa3 by comparing the Q1 start position and the W1 start position, the Q1 end position and the W1 end position, and the Q1 range value and the W1 range value respectively, and obtains the formula F(Sqa)= determines whether the abnormal region Q1 and the abnormal region W1 coincide, x1, x2 and x3 are set proportion values; B1, B2 and B3 are set proportion values.

5. The use method of the steel wire rope online nondestructive testing system according to claim 4, characterized in that, When F(Sqa) >= Fm, the abnormal area Q1 and the abnormal area W1 coincide; when F(Sqa)<Fm, the abnormal area Q1 and the abnormal area W1 do not coincide, and Fm is a preset value.

6. The method of using a steel wire rope on-line non-destructive testing system of claim 5, wherein, When the abnormal area Q1 and the abnormal area W1 coincide, the ring recording device is started, the ring recording device obtains the defect type and the defect depth, selects the corresponding inkjet color, and performs inkjet processing on the fault position according to the moving speed of the measured steel wire rope.

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