Steel wire rope defect detection method based on magnetic flux leakage equipment

Abstract

The invention relates to a steel wire rope defect detection method based on magnetic flux leakage equipment, which belongs to the technical field of steel wire rope detection, and comprises the following steps of: 1, arranging a magnetic flux leakage detector on a winch, and electrically connecting the magnetic flux leakage detector and the winch with a control module respectively; 2, the winch drives the steel wire rope to pass through a magnetic leakage detector station, and a magnetic leakage detector is used for scanning defect points of the rolling steel wire rope in real time and uploading the defect points to a control module; 3, the control module calculates the defect density and the defect concentration ratio of a certain steel wire rope, and the manual rechecking frequency is calculated according to the defect density and the defect concentration ratio; and step 4, performing manual rechecking by an operator according to the manual rechecking frequency.

Description

Technical Field

[0001] The present invention belongs to the technical field of wire rope detection, and specifically relates to a method for detecting wire rope defects based on a magnetic flux leakage device. Background Art

[0002] Wire ropes are important construction materials used in many fields including highway bridges. Since wire ropes are composed of numerous wires with relatively large axial dimensions, the probability of having defects is relatively high. Therefore, it is necessary to detect wire rope defects.

[0003] Conventional wire rope detection methods use magnetic flux leakage devices for detection. Generally, magnetic flux leakage detection devices are of the portable manual detection instrument type. When inspecting wire ropes, it often requires an electrical and mechanical operator to carry the magnetic flux leakage detection device onto the tower crane and perform detection at the tower crane boom while the wire rope is running. Moreover, periodic detection can only obtain the detection situation of the wire rope at that time and cannot effectively and real-time grasp the damage situation of the wire rope, especially the health condition of the wire rope after lifting heavy objects. For this reason, Chinese Patent CN219625427U discloses a magnetic flux leakage detection device for wire ropes, which includes a detection mechanism for detecting the magnetic flux leakage of the wire rope. A magnetization mechanism for magnetizing the wire rope is provided at each end of the detection mechanism. The detection mechanism is electrically connected to a data processing platform, and installation mechanisms are provided outside both the detection mechanism and the magnetization mechanism; the installation mechanism includes an installation cylinder sleeved outside the detection mechanism and the magnetization mechanism. At least two installation rods are spaced apart on the outside of the installation cylinder, and the installation rods are parallel to the axis of the installation cylinder. It installs the magnetic flux leakage detection device on the tower crane boom through the installation mechanism, real-time detects the damage situation of the wire rope, and gives a replacement warning to reduce potential safety hazards;

[0004] In the above solution, only the magnetic flux leakage detector is combined with a winch or a tower crane for measurement. The demand for wire ropes is extremely large, or the movement speed is relatively fast during movement, and it is necessary to quickly pass through the detection position to improve efficiency, resulting in less detection time per unit length. When the detection length is small, there is a probability of reducing the detection accuracy, and a detection rate verification system needs to be introduced. However, the detection rate is not verified in the above solution, and the detection accuracy is relatively low. For this reason, a wire rope defect detection system based on a magnetic flux leakage device with detection rate verification and relatively high detection accuracy is needed Summary of the Invention

[0005] To solve the above problems existing in the prior art, the present invention provides a method for detecting wire rope defects based on a magnetic flux leakage device, which has the characteristics of having detection rate verification and relatively high detection accuracy.

[0006] The object of the present invention can be achieved by the following technical solutions:

[0007] A method for detecting wire rope defects based on a magnetic flux leakage device includes the following steps:

[0008] Step 1: Set a magnetic leakage detector on the winch, and electrically connect the magnetic leakage detector and the winch to the control module respectively.

[0009] Step 2: The winch drives the steel wire rope through the magnetic leakage detector station. The magnetic leakage detector is used to scan the defective points of the rolling steel wire rope in real time and upload them to the control module.

[0010] Step 3: The control module is pre-input with the length of the steel wire rope and is used to read the winch speed. The control module calculates the read defect coordinates based on the winch speed and the length of the steel wire rope, calculates the defect density and defect concentration degree of a certain steel wire rope according to the coordinates, and calculates the manual review frequency by the control module according to the defect density and defect concentration degree.

[0011] Step 4: The operator conducts a manual review according to the manual review frequency.

[0012] As a preferred technical solution of the present invention, Step 3 further includes: The control module is pre-input with the length of the steel wire rope and is used to read the winch speed. The control module calculates the read defect coordinates based on the winch speed and the length of the steel wire rope, and calculates the defect density and defect concentration degree of a certain steel wire rope according to the coordinates.

[0013] As a preferred technical solution of the present invention, Step 3 further includes: After the control module calculates the number of defects of a certain steel wire rope, the defect density m is obtained by calculating the ratio of the length of this steel wire rope to the number of defective points. The control module first calculates the distance between any two adjacent defect points among several defect coordinate points of a certain steel wire rope to obtain several distance data, and then calculates the variance of the several distance data. The variance is used as the defect concentration degree j, where 0≤m≤10 and 0≤j≤10. When the calculation result shows that m or j exceeds the value range, the control module counts m or j as the end value of the value range.

[0014] As a preferred technical solution of the present invention, Step 3 further includes: The control module calculates a multiple F according to the defect density m and the defect concentration degree j, where F = -0.5lg(x + 11) + 2 and x = j - m; Step 4 further includes: The operator corrects the manual review frequency of a certain steel wire rope to F times the basic frequency and conducts a manual review according to the corrected frequency.

[0015] As a preferred technical solution of the present invention, the control module upwardly corrects the corrected manual review frequency F by A1 times according to the defect density m, where A1 = m / m0×c, m0 is a pre-input correction coefficient, and c is a pre-input constant.

[0016] As a preferred technical solution of the present invention, the second step further includes: after the control module finishes detecting the defect points of the steel wire rope, it uploads them to the life cycle management database, which is used to record the detection time, detection method, the number and coordinates of the defect points of each steel wire rope.

[0017] As a preferred technical solution of the present invention, the second step further includes: after uploading to the life cycle management database, the control module calibrates the level according to the defect density and defect concentration of each steel wire rope in the uploaded life cycle management database, and determines the sampling inspection frequency of this steel wire rope according to the level; it also includes step five: after the steel wire rope is set according to the construction requirements, sampling inspection is carried out according to the sampling inspection frequency.

[0018] As a preferred technical solution of the present invention, the second step further includes: the control module calibrates the level A according to the defect density m and defect concentration j of each steel wire rope in the uploaded life cycle management database, and the control module determines the sampling inspection frequency C of the steel wire rope according to the level A, where A = 2 ^ (0.15y), y = j + m, A is a positive integer, 1 ≤ A ≤ 4, C = A. When the calculation result shows that the value of A is less than 1 or greater than 4, the control module takes A = 1 or A = 4; the fifth step further includes: after the steel wire rope is set according to the construction requirements, sampling inspection is carried out according to the sampling inspection frequency C.

[0019] The beneficial effects of the present invention are:

[0020] (1) By introducing a detection rate verification system, it avoids the situation that when the demand for steel wire ropes is extremely large and it is necessary to quickly pass through the detection position to improve efficiency, resulting in less detection time per unit length, and improves the detection accuracy; at the same time, by enabling the control module to calculate the defect density and defect concentration of a certain steel wire rope, and outputting the manual review frequency according to the defect density and defect concentration, when the defect arrangement of a certain steel wire rope has a much greater density than the concentration, which has a high probability of representing a detection error at this time, the manual review frequency is increased, thereby improving the detection accuracy. When the probability of detection error shown by the defect arrangement is low, the manual review frequency is reduced, thereby improving the operation efficiency;

[0021] (2) By determining the manual review frequency F as F = 0.5lg(x + 11) + 1, x = j - m, when the concentration rapidly decreases relative to the density and evolves towards the situation where the density is much greater than the concentration, the manual review frequency rapidly increases, quickly improving the manual review frequency. When the defect concentration is equal to the defect density, the steel wire rope defect distribution conforms to the normal situation and requires normal frequency review, or when there is a probability of undetected defects without defects, the manual review frequency is reduced to the average level. When the defect density is less than the defect concentration and the steel wire rope defect distribution conforms to the situation of high-quality steel wire ropes, the manual review frequency is reduced to a lower level;

[0022] (3) By enabling the control module to upwardly correct the manual review frequency F by A1 = m / m0 × c times according to the defect density m, it is possible to avoid potential safety hazards caused by the inability of the manual review frequency to cover the deterioration rate of the wire rope in the case of a large defect density, a small distribution concentration, and a low wire rope quality.

[0023] (4) The control module calibrates the level A according to the defect density m and the defect concentration j of each wire rope uploaded to the life cycle management database, and then determines the sampling frequency of this wire rope according to the level, realizing the classification of the wire rope quality level, and at the same time realizing different frequency sampling of different wire ropes according to the quality category. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0025] Figure 1 It is a control loop block diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0026] To further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following will, with reference to the accompanying drawings and preferred embodiments, describe in detail the specific embodiments, structures, features, and effects of the present invention.

[0027] Please refer to Figure 1 , a wire rope defect detection method based on a magnetic flux leakage device, comprising the following steps:

[0028] Step 1: Set a magnetic flux leakage detector on the winch, and electrically connect the magnetic flux leakage detector and the winch to the control module respectively;

[0029] Specifically, a magnetic flux leakage detector is provided near the pulley of the winch, and the installation position of the magnetic flux leakage detector ensures that when the winch drives the wire rope to continuously pass through the pulley, the wire rope also passes through the magnetic flux leakage detector. In this embodiment, the wire rope includes at least the steel cable used for bridges;

[0030] Step 2: The winch drives the wire rope through the magnetic flux leakage detector station, and the magnetic flux leakage detector is used to real-time scan the defect points of the rolling wire rope and upload them to the control module. At this time, the magnetic flux leakage detector detects the defects of the wire rope;

[0031] Specifically, whenever the winch drives a new wire rope, the control module synchronously creates a file for the new wire rope and assigns a number to this file, completing the archiving of the defect data of the current wire rope and avoiding the confusion of the defect data of the current wire rope with that of other wire ropes;

[0032] Since the demand for wire ropes is large during the construction process, they need to pass through the inspection position quickly to improve efficiency, resulting in a shorter inspection time per unit length. When the inspection length is short, there is a probability that the inspection accuracy will be reduced. Therefore, a detection rate verification system needs to be introduced. To this end, step three is performed after step two: the control module calculates the defect density and defect concentration of a certain wire rope, and calculates the manual review frequency based on the defect density and defect concentration;

[0033] In the above process, specifically, for the wire rope, the common defect distribution includes the following three situations:

[0034] For wire ropes with fewer defects and better quality, the density of defects is smaller, the distribution is more dispersed, and the concentration is smaller;

[0035] For wire ropes of average quality, there are several concentrated defect points. At this time, the defect density is large and the distribution is concentrated around the defect points, that is, the distribution is relatively concentrated and the concentration is large;

[0036] For steel wire ropes with a large defect density and a low distribution concentration, it means that more defects are evenly distributed in various positions. Such steel wire ropes are more likely to fail the factory quality inspection, or are more likely to break and be discarded before the inspection. The probability of entering the magnetic leakage inspection process in this solution is low. Therefore, the test results show that a certain steel wire rope has a large defect density and a low distribution concentration, which is likely to indicate that a detection error has occurred at this time. At this time, manual review is required to determine whether a detection error has occurred;

[0037] Therefore, in step 3: the control module pre-inputs the wire rope length and is used to read the winch speed. The control module calculates and reads the defect coordinates according to the winch speed and the wire rope length, and then calculates the defect density of a certain wire rope according to the defect coordinates, and calculates the defect concentration. When the operator determines that the wire rope defect density is large and the distribution concentration is low, the control personnel increase the manual review frequency;

[0038] After step 3 is completed, step 4 is executed: the operator performs manual review according to the manual review frequency;

[0039] By making the control module calculate the defect density and defect concentration of a certain steel wire rope, the manual review frequency is output according to the defect density and defect concentration. When the density is greater than the concentration in the defect arrangement of a certain steel wire rope, which indicates that there is a high probability that a detection error has occurred at this time, the manual review frequency is increased to improve the detection accuracy. When the defect arrangement shows that the probability of detection error is low, the manual review frequency is reduced to improve the operation efficiency.

[0040] For the process of calculating the defect density and statistical defect concentration in the above step three, specifically, when the control module calculates the defect density m of a certain steel wire rope, it calculates the ratio of the length of the steel wire rope to the number of defect points, and takes the ratio as the defect density m of a certain steel wire rope; when the control module calculates the defect concentration j of a certain steel wire rope, it first calculates the distances between any two adjacent defect points among several defect coordinate points to obtain several distance data, and then calculates the variance of the several distance data, and takes the variance as the defect concentration j. When several defect points are evenly distributed on the steel wire rope, the distances between any two adjacent defect points are equal, and several distance data are equal or similar. At this time, the variance is small and the concentration is low. When several defect points are distributed at one or several places on the steel wire rope, the distances between any two adjacent defect points are small or large, and several distance data are quite different. At this time, the variance is large and the concentration is high. Therefore, the defect concentration j can be obtained by calculating the variance of several distance data;

[0041] Among them, 0 ≤ m ≤ 10, 0 ≤ j ≤ 10. When the calculation result shows that m or j exceeds the value range, the control module counts m or j as the end value of the value range. For example, when the calculation result shows that m > 10, the control module takes m = 10; when the calculation result shows that m < 0, the control module takes m = 0;

[0042] For the process of calculating the manual review frequency according to the defect density and defect concentration in the above step three, specifically, when the concentration j decreases rapidly relative to the defect density m and evolves towards the situation where the defect density of the steel wire rope is large and the distribution concentration is low, it is necessary to rapidly increase the manual review frequency as the concentration decreases to adapt to the abnormal situation where the concentration is lower than the density. And when the manual review frequency reaches a certain value, the manual review frequency can already cover potential detection errors and there is no need to further increase the manual review frequency. Therefore, step three also includes: the control module calculates the multiple F according to the defect density m and the defect concentration j, where F = -0.5log(x + 11) + 1.5, x = j - m, that is, -10 ≤ x ≤ 10;

[0043] Subsequently, in step four, the operator corrects the manual review frequency of a certain steel wire rope to F times the basic frequency and conducts manual review according to the corrected frequency;

[0044] According to the function graph of the function F(x) = -0.5log(x + 11) + 1.5, and the value ranges of j and m, it can be known that when the defect concentration decreases rapidly relative to the defect density and approaches the situation where the wire rope has a relatively large defect density and a low distribution concentration, that is, j is much smaller than m and x decreases rapidly, it is necessary to rapidly increase the manual review frequency as the concentration decreases. At this time, the function value increases rapidly as x decreases, and the closer x is to the lower end of the value range, the faster the function value rises. When the operator corrects the manual review frequency of a certain wire rope to F times the basic frequency, it completes rapidly increasing the manual review frequency as the concentration decreases to adapt to the abnormal situation where the concentration is lower than the density;

[0045] When the defect concentration is equal to the defect density, that is, both the defect concentration and the defect density are large or small, which conforms to the normal situation, it is necessary to adjust the review frequency to normal. At this time, the value of x is close to the midpoint 0 of the value range, and the function value of the function F(x) = -0.5log(x + 11) + 1.5 is relatively moderate within the value range. When the operator corrects the manual review frequency of a certain wire rope to F times the basic frequency, it completes the situation where when the concentration is equal to the defect density and the wire rope defect distribution conforms to the normal situation and requires a normal review frequency, or when there is a probability of undetected defects without defects, to reduce the manual review frequency to the average level;

[0046] When the defect density is much smaller than the concentration, the wire rope has fewer defects and is evenly or concentratedly distributed, and the wire rope defect distribution conforms to the situation of high-quality wire ropes, there is no need for a high manual review frequency. At this time, the value of x is greater than 0, and the function value of the function F(x) = -0.5log(x + 11) + 1.5 is lower within the value range. And as the wire rope defect density m decreases and the value of x approaches the upper limit 10, the function value decreases slowly. When the operator corrects the manual review frequency of a certain wire rope to F times the basic frequency, it completes the situation where when the defect density is less than the concentration and the wire rope defect distribution conforms to the situation of high-quality wire ropes, to reduce the manual review frequency to a lower level;

[0047] By determining the manual review frequency F as F = 0.5log(x + 11) + 1.5, x = j - m, it is completed that when the concentration decreases rapidly relative to the density and evolves towards the situation where the density is much greater than the concentration, the manual review frequency rises rapidly, rapidly increasing the manual review frequency. When the concentration is equal to the defect density and the wire rope defect distribution conforms to the normal situation and requires a normal review frequency, or when there is a probability of undetected defects without defects, to reduce the manual review frequency to the average level. When the defect density is less than the concentration and the wire rope defect distribution conforms to the situation of high-quality wire ropes, to reduce the manual review frequency to a lower level.

[0048] In the above solution, there are cases where the defect density m and the distribution concentration degree j are relatively large, the quality of the steel wire rope is poor, but the value of x = j - m is close to the midpoint of the value range, the output value of the function F(x) = -0.5log(x + 11) + 1.5 is moderate, and the manual review frequency is moderate. At this time, it represents that the quality of the steel wire rope is on the low side within the normal range, and there is a probability that the manual review frequency cannot cover the deterioration speed of the steel wire rope, which may lead to potential safety hazards. Therefore, it is necessary to further increase the manual review frequency. For this reason, step three also includes: the control module upwardly corrects the modified manual review frequency F by A1 times according to the defect density m, where A1 = m / m0 × c, m0 is a pre-input correction coefficient, c is a pre-input constant, and the values of m0 and c are determined according to the actual needs of the operators for the value range of A1;

[0049] When m is relatively large, it represents that there are more defects in the steel wire rope, and it is necessary to further increase the manual review frequency. At this time, the value of A1 = m / m0 × c is relatively high. When the control module upwardly corrects the modified manual review frequency F by A1 times, it completes the further increase of the manual review frequency in the case of a large defect density and a small distribution concentration degree, and poor quality of the steel wire rope;

[0050] By making the control module upwardly correct the modified manual review frequency F by A1 = m / m0 × c times according to the defect density m, it avoids potential safety hazards caused by the inability of the manual review frequency to cover the deterioration speed of the steel wire rope in the case of a large defect density, a small distribution concentration degree, and low quality of the steel wire rope.

[0051] To facilitate the dynamic tracking of the quality defects of the steel wire rope, step two also includes: after the control module finishes detecting the defect points of the steel wire rope, it uploads them to the life cycle management database, which is used to record the detection time, detection method, and the number and coordinates of the defects of each steel wire rope;

[0052] By making the control module upload the defect points of the steel wire rope to the life cycle management database after detection, it realizes the dynamic tracking of defects.

[0053] After the steel wire rope is initially detected by magnetic flux leakage, multiple spot checks are still required during its life cycle to timely detect quality defects. Since the quality of different steel wire ropes is different, the spot check frequencies are also different. For this reason, step two also includes: after uploading to the life cycle management database, the control module calibrates the level according to the defect density and defect concentration degree of each steel wire rope uploaded to the life cycle management database, and determines the spot check frequency of this steel wire rope according to the level;

[0054] It also includes step five: after the steel wire rope is set according to the construction requirements, it is spot-checked according to the spot check frequency;

[0055] Specifically, step two further includes: the control module calibrates level A according to the defect density m and defect concentration j of each steel wire rope in the uploaded lifecycle management database. The control module determines the sampling frequency of the steel wire rope according to level A, and the sampling frequency is A times the standard frequency, where A = 2^(0.15y), y = j + m, that is, 0 ≤ y ≤ 20, A is a positive integer, and the value range of A is 1 ≤ A ≤ 4. When the calculation result shows that the value of A is less than 1 or greater than 4, the control module takes A = 1 or A = 4, and the value of A is obtained by rounding 2^(0.15y);

[0056] Subsequently, in step five, the sampling frequency is adjusted to A times the standard frequency, and then sampling is carried out;

[0057] According to the function image of Y(x) = 2^(0.15y), when the defect density m and defect concentration j are large, it means that the quality problem of the steel wire rope is more obvious. At this time, y is large, and the value of A = Y(x) = 2^(0.15y) increases rapidly with the increase of the value of y. When the control module determines the sampling frequency C = A of the steel wire rope according to level A, the sampling frequency for the steel wire rope with lower quality is increased;

[0058] When the defect density m and defect concentration j are large, it means that the quality of the steel wire rope is moderate, and the sampling frequency needs to be controlled at a moderate level. At this time, the value of y is moderate, and the value of A = Y(x) = 2^(0.15y) is moderate. When the control module determines the sampling frequency C = A of the steel wire rope according to level A, the sampling frequency for the steel wire rope with moderate quality is controlled at a moderate level;

[0059] When the defect density m and defect concentration j are small, it means that the quality of the steel wire rope is good, and a high sampling frequency is not required. At this time, the value of y is small, and the value of A = Y(x) = 2^(0.15y) is small. When the control module determines the sampling frequency C = A of the steel wire rope according to level A, the sampling frequency for the steel wire rope with good quality is controlled at a low level;

[0060] By the control module calibrating level A according to the defect density m and defect concentration j of each steel wire rope in the uploaded lifecycle management database, and then determining the sampling frequency of this steel wire rope according to the level, the classification of the quality grades of the steel wire ropes is realized, and at the same time, different sampling frequencies are carried out for different steel wire ropes according to the quality categories.

[0061] The above are only the preferred embodiments of the present invention, and do not impose any form of limitation on the present invention. Although the present invention has been disclosed above with the preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to equivalent embodiments of equivalent changes within the scope of the technical solution of the present invention by using the technical content disclosed above. However, as long as it does not depart from the content of the technical solution of the present invention, any brief modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A method for detecting wire rope defects based on magnetic flux leakage equipment, characterized in that: The steps include the following: Step 1: A magnetic leakage detector is set on a winch, and the magnetic leakage detector and the winch are electrically connected to a control module respectively. Step 2: The winch drives a steel wire rope through the working position of the magnetic leakage detector, and the magnetic leakage detector is used to scan the defective points of the rolling steel wire rope in real time and upload them to the control module. Step 3: The control module is pre-input with the length of the steel wire rope and is used to read the rotation speed of the winch. The control module calculates the read defective coordinates according to the rotation speed of the winch and the length of the steel wire rope, and calculates the defective density and defective concentration degree of a certain steel wire rope according to the coordinates. The control module calculates the manual recheck frequency according to the defective density and defective concentration degree. Step 4: The operator conducts a manual recheck according to the manual recheck frequency.

2. The method for detecting wire rope defects based on a magnetic flux leakage device according to claim 1, wherein: Step 3 further includes: After the control module calculates the number of defective points of a certain steel wire rope, the defective density m is obtained by calculating the ratio of the length of this steel wire rope to the number of defective points. The control module first calculates the distances between any two adjacent defective points among several defective coordinate points of a certain steel wire rope to obtain several distance data, and then calculates the variance of the several distance data. The variance is used as the defective concentration degree j, where 0 ≤ m ≤ 10 and 0 ≤ j ≤ 10. When the calculation result shows that m or j exceeds the value range, the control module counts m or j as the end value of the value range.

3. A method for detecting wire rope defects based on a magnetic flux leakage device according to claim 2, characterized in that: Step 3 further includes: The control module calculates a multiple F according to the defective density m and the defective concentration degree j, where F = -0.5lg(x + 11) + 2 and x = j - m; Step 4 further includes: The operator corrects the manual recheck frequency of a certain steel wire rope to F times the basic frequency and conducts a manual recheck according to the corrected frequency.

4. The wire rope defect detection method based on a magnetic flux leakage device according to claim 3, wherein: The control module upwardly corrects the corrected manual recheck frequency F by A1 times according to the defective density m, where A1 = m / m0 × c, m0 is a pre-input correction coefficient, and c is a pre-input constant.

5. A method for detecting wire rope defects based on a magnetic flux leakage device according to claim 4, characterized in that: Step 2 further includes: After the control module finishes detecting the defective points of the steel wire rope, it uploads them to the life cycle management database. The life cycle management database is used to record the detection time, detection method, and the number and coordinates of the defective parts of each steel wire rope.

6. A method for detecting wire rope defects based on a magnetic flux leakage device according to claim 5, characterized in that: Step 2 further includes: After uploading to the life cycle management database, the control module calibrates the level according to the defective density and defective concentration degree of each steel wire rope in the uploaded life cycle management database, and determines the sampling inspection frequency of this steel wire rope according to the level; Step 5 further includes: After the steel wire rope is set according to the construction requirements, sampling inspection is carried out according to the sampling inspection frequency.

7. A method for detecting defects in wire ropes based on magnetic flux leakage equipment according to claim 6, characterized in that: Step 2 further includes: The control module calibrates the level A according to the defective density m and the defective concentration degree j of each steel wire rope in the uploaded life cycle management database. The control module determines the sampling inspection frequency C of the steel wire rope according to the level A, where A = 2^(0.15y), y = j + m, A is a positive integer, 1 ≤ A ≤ 4, and C = A. When the calculation result shows that the value of A is less than 1 or greater than 4, the control module takes A = 1 or A = 4; Step 5 further includes: After the steel wire rope is set according to the construction requirements, sampling inspection is carried out according to the sampling inspection frequency C.

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