Suspension clamp defect detection method

Abstract

The present invention relates to a defect detection technology for a suspended wire clamp, which is used to solve the problem that in the traditional detection method, small defects in the early stage are difficult to detect, and the defects cannot be accurately located and the degree of defects cannot be judged, resulting in the continued use of damaged wire clamps, which affects the stability and reliability of power transmission lines. The present invention relates to a defect detection method for a suspended wire clamp; the present invention comprehensively obtains the state information of the wire clamp through appearance deformation detection and corrosion aging detection, and more accurately judges the position and degree of corrosion aging; calculates the wire clamp damage degree data based on area and depth, comprehensively calculates the wire clamp damage ratio data, and estimates the remaining service life of the wire clamp, comprehensively considers factors such as the wire clamp deformation ratio, damage ratio, and cable deadweight, more comprehensively analyzes the stability of cable suspension, ensures the safety of the cable during operation, and reduces the risk of cable falling accidents caused by wire clamp damage; determines a reasonable range of spacing between adjacent wire clamps, and reduces problems caused by unreasonable spacing between wire clamps.

Description

Technical Field

[0001] The invention relates to a hanging wire clamp defect detection technology, in particular to a hanging wire clamp defect detection method. Background Art

[0002] The suspension clamp is a hardware that suspends the conductor to the suspension insulator string or hardware string. The stability of its performance plays a key role in the safe operation of the transmission line.

[0003] In the traditional wire clamp defect detection process, the technician observes the appearance defects of the wire clamp and judges the degree of damage of the wire clamp based on his own experience. The human factor has a great influence, and there are inaccurate judgments. Moreover, the appearance of the wire clamp can only be judged, and the degree of internal damage of the wire clamp cannot be accurately predicted. In addition, after the degree of defect of the wire clamp is detected, the influence of the degree of defect on the remaining service life of the wire clamp is not considered, so the remaining service life of the wire clamp is predicted, resulting in inaccurate judgment on the replacement of the wire clamp. The wire clamp that needs to be replaced is not replaced in time, causing the cable to fall and bend and be damaged, and the wire that does not need to be replaced is replaced, causing economic losses to users;

[0004] In assessing the impact of cable clamp damage on cable suspension, multiple key factors are not considered comprehensively. This incomplete assessment method makes it difficult to accurately determine whether the cable will fall off, and it is also impossible to accurately determine the stress of the cable clamps on both sides, which increases the risk of cable falling off due to cable clamp damage during operation. It also causes problems such as uneven cable stress and excessive local stress due to unreasonable cable clamp spacing, which seriously affects the stability and reliability of the transmission line and shortens the service life of the cable and cable clamps.

[0005] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0006] The purpose of the present invention is to comprehensively obtain the status information of the wire clamp through appearance deformation detection and corrosion aging detection, and more accurately determine the location and degree of corrosion aging; calculate the wire clamp damage degree data based on area and depth, comprehensively calculate the wire clamp damage ratio data, and estimate the remaining service life of the wire clamp, comprehensively consider factors such as wire clamp deformation ratio, damage ratio, cable deadweight, etc., more comprehensively analyze the stability of cable suspension, ensure the safety of cables during operation, reduce the risk of cable falling accidents caused by wire clamp damage, and solve the problem that the initial tiny defects of traditional detection methods are difficult to detect, and the defects cannot be accurately located and the degree of defects cannot be judged, resulting in the continued use of damaged wire clamps, affecting the stability and reliability of transmission lines. A method for detecting defects of suspended wire clamps is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A method for detecting defects of a hanging wire clamp comprises the following steps:

[0009] Step 1: Appearance and deformation detection. Compare the scanned outer contour map with the outer contour map of the non-destructive wire clamp in the corresponding direction, calculate the proportion of the non-overlapping area, and compare it with the preset deformation threshold. If the deformation ratio of the wire clamp in the six shooting surfaces is greater than the preset deformation threshold, it is determined that the wire clamp needs to be replaced; if it is less than the deformation threshold, proceed to the next step of corrosion aging degree judgment;

[0010] Step 2: Corrosion and aging detection: classify the grayscale processed images according to whether there is non-overlapping area, divide the classified images into image blocks of the same size, calculate the average grayscale value of each image block, and judge the corrosion and aging status of the wire clamp position;

[0011] Step 3: Comprehensively evaluate the service life of the wire clamp, classify and calculate the corrosion aging area and depth change data, calculate the wire clamp damage data based on the corrosion aging area and depth change data, and then obtain the corrosion aging change value per unit time, calculate the time to reach the preset aging threshold, and if it is greater than the maintenance cycle, determine the impact of wire clamp damage on cable suspension;

[0012] Step 4: Evaluate the impact of cable hanging. Calculate the clamping force data of the cable clamp based on the degree of damage and the cable's own weight. According to the calculated remaining clamping force data, determine whether the cable has fallen off and the stress conditions of the cable clamps on both sides, and determine the reasonable range of the spacing between adjacent cable clamps.

[0013] As a preferred embodiment of the present invention, the calculation steps of the non-overlapping area ratio are as follows:

[0014] Step 1: Arrange the image data acquired by shooting in the order of shooting angles, obtain image data in six directions, namely, front, back, left, right, up and down, perform grayscale processing on the image data, scan the outer contour of the wire clamp on the grayscale processed image data, and compare the outer contour image data with the outer contour image of the lossless wire clamp. If the two outer contour images do not completely overlap, it is determined that the outer shape of the wire clamp is damaged, and the position where the incomplete overlap occurs is marked;

[0015] Step 2: Record the maximum length of the non-overlapping position, and draw perpendicular lines on both sides of the maximum length line to the maximum width position on both sides. Take the maximum length as the base and the perpendicular line as the height to calculate the area at the overlapping position, which is recorded as the non-overlapping area. Sum the non-overlapping areas at each marked position on the corresponding image data and compare them with the area of ​​the outer contour image in the entire image to obtain the ratio of the total non-overlapping area to the total area of ​​the outer contour image, and use the ratio as the deformation ratio of the wire clamp , is the serial number of the shooting direction;

[0016] Step three: Compare the deformation ratio of the wire clamp of the image data corresponding to the six shooting surfaces with the preset deformation ratio threshold. If the deformation ratio of the wire clamp in the peripheral contour images corresponding to the six shooting surfaces is greater than the preset deformation ratio threshold, it is determined that the deformed wire clamp should be replaced; otherwise, the degree of corrosion and aging of the wire clamp is determined.

[0017] As a preferred embodiment of the present invention, the steps for judging the corrosion aging degree of the wire clamp are as follows:

[0018] Step 1: Remove all image data except the outer contour image, select image data without non-overlapping area and image data with non-overlapping area under the same shooting angle, and divide the image data without non-overlapping area and the image data with non-overlapping area into The image blocks of the same size are calculated for the average gray value of each image block, and the total gray value and the gray value mean of the image block corresponding to the image data without non-overlapping area are recorded as the total gray value without overlapping area. and no heavy ash mean The total grayscale value and the mean grayscale value of the image block corresponding to the image data with non-overlapping area are recorded as the total grayscale value and heavy ash mean ;like , it is determined that there is corrosion and aging at the wire clamp position of the image block corresponding to the heavy gray mean value;

[0019] Step 2: Take the extreme gray value of the pixel block on the corresponding image block, and calculate the minimum gray value difference between adjacent pixel blocks. Divide the gray value extreme range into The grayscale value of the pixel block on the corresponding image block is The grayscale value of the pixel block on the corresponding image block is calculated, and the absolute value of the calculated difference is divided by , and then multiply by The corresponding height difference is used to obtain the pothole depth data of the line clip at the corresponding pixel block position; the preset pothole depth threshold is , if the pothole depth data is greater than , it is determined that there is damage inside the wire clamp, and the number of pixel blocks determined to have internal damage is counted. If the number of pixel blocks is greater than the preset damage number value, it is determined that the wire clamp with internal damage needs to be replaced.

[0020] As a preferred embodiment of the present invention, the steps for calculating the damage area and damage depth of the wire clamp based on corrosion aging are as follows:

[0021] Step 1: Count the total number of pixel blocks occupied by potholes on the outer contour map of the wire clamp, and calculate the ratio of the total number of pixel blocks in the outer contour map to the total number of pixel blocks occupied by potholes, which is recorded as the surface loss value; mark the position corresponding to each pothole on the wire clamp, record the wire clamp thickness data at the marked position, and then divide the depth data of each pothole by the wire clamp thickness data at the wire clamp position corresponding to the pothole to obtain the ratio of the pothole depth to the wire clamp thickness, which is recorded as the deep loss value;

[0022] Step 2: Preset the weight coefficients of area damage and depth damage of the wire clamp, multiply the surface damage value and depth damage value by the corresponding preset weight coefficients, and then sum them up to obtain the damage ratio data of the wire clamp. ;

[0023] Step 3: Compare the wire clamp damage ratio data of the six shooting surfaces of the wire clamp with the preset wire clamp damage ratio threshold. If the wire clamp damage ratio data is greater than the preset wire clamp damage ratio threshold, it is determined that the corroded and aged wire clamp should be replaced; otherwise, the time required for the wire clamp to meet the replacement requirements is estimated.

[0024] As a preferred embodiment of the present invention, the steps for estimating the time for replacing the wire clamp are as follows:

[0025] Step 1: retrieve the historical damage ratio data of wire clamps with different damage ratios at the same position in different time periods, classify the historical damage ratio data according to different corrosion aging areas and corrosion aging depths, arrange the corrosion aging area data and corrosion aging depth data in each classification in chronological order, divide the corrosion aging area data and corrosion aging depth data in the corresponding time period by the time data corresponding to the time period, and obtain the corrosion aging area change data and corrosion aging depth change data of the wire clamp in unit time;

[0026] Step 2: The damage ratio data of the wire clamp is multiplied by the corrosion aging area change data and the corrosion aging depth change data of the wire clamp over time, and then the two results are multiplied by the weight coefficients of the wire clamp area damage and depth damage, and then summed, and the summed result is recorded as the wire clamp damage data; based on the change values ​​of the corrosion aging area and the corrosion aging depth of the wire clamp per unit time, the corrosion aging area threshold and the preset corrosion aging depth threshold are preset, and the time required for the wire clamp to reach the preset corrosion aging area threshold and the preset corrosion aging depth threshold is calculated, and the minimum value of the two times is taken as the threshold arrival time;

[0027] Step 3: Compare the threshold time data with the time data corresponding to the maintenance cycle. If the threshold time is greater than the maintenance cycle, determine the impact of the damage degree of the wire clamp on the cable suspension.

[0028] As a preferred embodiment of the present invention, the influence of the damage degree of the wire clamp on the cable suspension is judged in the following steps:

[0029] Step 1: Preset the deformation ratio of the wire clip Damage ratio to wire clamp The weight coefficient is used to adjust the deformation ratio of the wire clamp Damage ratio of wire clamp Multiply them by the corresponding preset weight coefficients respectively, and then sum them up to obtain the damage degree data of the wire clamp;

[0030] Step 2: The value range of the wire clamp damage degree data is preset to [0,1]. When the wire clamp damage degree data value is 0, it means that the wire clamp is not damaged, and the clamping force of the undamaged wire clamp on the hanging cable is recorded as the initial clamping force; when the wire clamp damage degree data value is 1, it means that the wire clamp is damaged; then the difference between the data 1 and the wire clamp damage degree data is multiplied by the initial clamping force data to obtain the wire clamp clamping force data based on the damage degree;

[0031] Step 3: Calculate the cable weight per unit length. Multiply the spacing between adjacent clips on the hanging cable by the distance between adjacent clips on the hanging cable. , multiplied by the gravity acceleration data at the location of the hanging cable , obtain the cable self-weight force data, subtract the product of the cable self-weight force data and the preset weight sensitivity coefficient of the wire clamp from the maximum clamping force data of the wire clamp, and obtain the result value as the clamping force data of the wire clamp based on the cable self-weight; calculate the difference between the clamping force data of the wire clamp based on the damage degree and the clamping force data of the wire clamp based on the cable self-weight, and obtain the residual clamping force data of the wire clamp;

[0032] Step 4: If the remaining clamping force data of the wire clamp is less than the self-weight force data of the cable, it is determined that the cable will fall off the wire clamp, and the remaining clamping force data of the wire clamps on both sides are obtained. If the remaining clamping force data of one of the wire clamps on both sides is less than 1.5 times the self-weight force data of the cable, it is determined that the middle wire clamp needs to be replaced.

[0033] As a preferred embodiment of the present invention, the steps of determining a reasonable range of spacing between adjacent wire clamps are as follows:

[0034] Step 1: Retrieve the historical maintenance data of the wire clamp, obtain the replacement cycle of the wire clamp at the same position, form a replacement cycle data group with several cycle data obtained, and average the cycle data in the replacement cycle data group. and standard deviation The calculation of the abnormal value is set to , delete the replacement cycle data that is not within the abnormal value judgment range, and then update the replacement cycle data group;

[0035] Step 2: Average the replacement cycle data in the updated replacement cycle data group Calculation of the mean Calculate the remaining clamping force data of the wire clamp at the corresponding position for the maintenance cycle ; When the middle wire clamp is damaged, the remaining clamping force data of the wire clamps on both sides Need to meet: , derive , that is, the distance between adjacent wire clips on the hanging cable should be set within a reasonable range Inside.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. The present invention compares the scanned outer contour of the wire clamp with the outer contour of the non-destructive wire clamp in the corresponding direction, calculates the proportion of the non-overlapping area to quantify the deformation degree of the wire clamp, thereby accurately judging whether the outer shape of the wire clamp is damaged and the degree of deformation, further calculating the pothole depth data according to the judgment result, and judging the internal damage in combination with the preset pothole depth threshold, and counting the number of internal damaged pixel blocks, thereby accurately judging the internal corrosion, aging and damage of the wire clamp, which makes up for the deficiency that the traditional detection method cannot accurately judge the internal damage degree of the wire clamp;

[0038] 2. The present invention calculates the clamping force data of the wire clamp based on the degree of damage, and simultaneously calculates the cable self-weight force data and the wire clamp clamping force data based on the cable self-weight. The difference between the two is the residual clamping force data of the wire clamp. By comparing with the cable self-weight force data, it is determined whether the cable has fallen off, and the influence of the wire clamp damage on the cable suspension is comprehensively evaluated;

[0039] 3. The present invention retrieves historical damage ratio data, classifies and calculates the corrosion aging area and depth change data, and combines the current wire clamp damage ratio data to estimate the remaining service life by calculating the time it takes for the wire clamp to reach a preset corrosion aging threshold. It takes into account the impact of environmental factors on the wire clamp damage ratio, making the estimation more scientific and accurate, and solving the problem that traditional detection methods cannot estimate the remaining service life of the wire clamp based on the degree of defects in the wire clamp. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0041] Figure 1 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0042] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Example:

[0044] See also Figure 1 As shown, the method for detecting defects of a hanging wire clamp comprises:

[0045] Using a high-definition camera mounted on a drone, the wire clamp can be photographed from multiple angles. With the horizontal line as the reference line, the angle is gradually increased clockwise, and the image data obtained by the shooting is arranged in the order of the shooting angle size. The front view image data of the six directions of the front, back, left, right, up and down of the corresponding wire clamp in the captured image is obtained, and the image data is gray-processed. The outer contour of the wire clamp is scanned on the gray-processed image data, and the scanned outer contour image data is compared with the outer contour map of the non-destructive wire clamp in the corresponding direction. If the scanned outer contour map of the wire clamp completely overlaps with the outer contour map of the non-destructive wire clamp, it is determined that the shape of the wire clamp to be tested is not damaged; otherwise, it is determined that the shape of the wire clamp to be tested is damaged, and the position that is not completely overlapped is marked;

[0046] Record the maximum length of the non-overlapping position, and draw perpendicular lines on both sides of the maximum length line to the maximum width position on both sides. Take the maximum length as the base and the perpendicular line as the height to calculate the area at the overlapping position, which is recorded as the non-overlapping area. Sum the non-overlapping areas at each marked position on the corresponding image data and compare them with the area of ​​the peripheral contour image in the entire image to obtain the ratio of the total non-overlapping area to the total area of ​​the peripheral contour image, and use the ratio as the deformation ratio of the wire clamp , is the serial number of the shooting direction; the deformation ratio of the wire clamp of the image data corresponding to the six shooting surfaces is compared with the preset deformation ratio threshold. If the deformation ratio of the wire clamp in the peripheral contour images corresponding to the six shooting surfaces is greater than the preset deformation ratio threshold, it is determined that the deformed wire clamp should be replaced; otherwise, the degree of corrosion and aging of the wire clamp is judged.

[0047] If the damage ratio of the wire clamp is less than the preset damage ratio threshold, the corrosion aging degree of the wire clamp is judged; the image data after grayscale processing is processed, and all image data other than the outer contour image in the captured image data are removed according to the outer contour image of the image data with non-overlapping area, and then the image data without non-overlapping area and the image data with non-overlapping area under the same shooting angle are selected, and the image data without non-overlapping area and the image data with non-overlapping area are divided into The image blocks of the same size are divided, and then the divided image blocks are divided again according to the size of the pixels. Each pixel block after division has its corresponding grayscale value. Then the average grayscale value of each image block is calculated. During the calculation process, the total grayscale value and the average grayscale value of the corresponding image block are recorded. The total grayscale value and the average grayscale value of the image block corresponding to the image data without non-overlapping area are recorded as the total grayscale value without overlapping area. and no heavy ash mean The total grayscale value and the mean grayscale value of the image block corresponding to the image data with non-overlapping area are recorded as the total grayscale value and heavy ash mean , compare the non-heavy gray mean and heavy gray mean of the image block at the corresponding position. If , then it is determined that the wire clamp position of the image block corresponding to the heavy gray mean value is corroded and aged; otherwise, it is determined that the wire clamp position of the image block corresponding to the heavy gray mean value is in good condition;

[0048] For the image blocks judged to have corrosion and aging, the difference between the total value of heavy gray and the total value of no heavy gray is divided by the difference between the mean value of heavy gray and the mean value of no heavy gray, and the number of pixel blocks representing corrosion and aging on the line clamp represented by the corresponding image block is obtained; the extreme value of the gray value of the pixel block on the corresponding image block is taken, and the minimum value of the gray value difference of adjacent pixel blocks is calculated. Divide the gray value extreme range into The grayscale value of the pixel block on the corresponding image block is The grayscale value of the pixel block on the corresponding image block is calculated, and the absolute value of the calculated difference is divided by , and then multiply by The corresponding height difference is used to obtain the pothole depth data of the line clip at the corresponding pixel block position; the preset pothole depth threshold is , if the pothole depth data is greater than , it is determined that there is damage inside the wire clamp, and the number of pixel blocks determined to have internal damage is counted. If the number of pixel blocks is greater than the preset damage number value, it is determined that the wire clamp with internal damage needs to be replaced;

[0049] If the pothole depth data is not zero, it is determined that there are potholes on the surface of the wire clamp caused by corrosion and aging. The total number of pixel blocks occupied by the potholes on the outer contour map of the wire clamp is counted, and the ratio of the total number of pixel blocks in the outer contour map to the total number of pixel blocks occupied by the potholes is calculated, which is recorded as the surface loss value; each pothole is marked at the position corresponding to the wire clamp, and the wire clamp thickness data at the marked position is recorded, and then the depth data of each pothole is divided by the wire clamp thickness data at the wire clamp position corresponding to the pothole to obtain the ratio of the pothole depth to the wire clamp thickness, which is recorded as the deep loss value; the weight coefficients of the area damage and depth damage of the wire clamp are preset, and the weight coefficient of the preset depth damage data is greater than the weight coefficient of the preset area damage data. The product of the weight coefficient of the preset depth damage data and the deep damage value is calculated, and then the product of the weight coefficient of the preset area damage data and the surface loss value is calculated, and the two products are summed to obtain the damage ratio data of the wire clamp. ; Compare the wire clamp damage ratio data of the six shooting surfaces of the wire clamp with the preset wire clamp damage ratio threshold. If the wire clamp damage ratio data is greater than the preset wire clamp damage ratio threshold, it is determined that the corroded and aged wire clamp should be replaced; otherwise, the time required for the wire clamp to meet the replacement requirements is estimated;

[0050] The temperature data, humidity data, precipitation data, wind speed data, altitude data and distance data from the pollution source in the environment will all affect the damage ratio of the wire clamp; retrieve the historical damage ratio data of wire clamps with different damage ratios at the same position in different time periods, classify the historical damage ratio data according to different corrosion aging areas and corrosion aging depths, arrange the corrosion aging area data and corrosion aging depth data in each classification in chronological order, and obtain the corrosion aging area data and corrosion aging depth data of wire clamps with different corrosion aging areas and corrosion aging depths that change with time; divide the corrosion aging area data and corrosion aging depth data in the corresponding time period by the time data corresponding to the time period to obtain the corrosion aging area change data and corrosion aging depth change data of the wire clamp in this period, and combine the corrosion aging area change data and corrosion aging depth change data in each time period to obtain the corrosion aging area change data and corrosion aging depth change data of the wire clamp with the corresponding corrosion aging area and the corresponding corrosion aging depth over time;

[0051] The damage ratio data of the wire clamp are multiplied by the corrosion aging area change data and corrosion aging depth change data of the wire clamp over time, and then the two results are weighted according to the weight coefficients of the wire clamp area damage and depth damage, and the calculation results are recorded as the wire clamp damage data; the corrosion aging area data and corrosion aging depth data of the detection wire clamp are read, and the read corrosion aging area data and corrosion aging depth data are matched with the corrosion aging area data and corrosion aging depth data at the same position of the wire clamp, and the matched ones are the corrosion aging area change data and corrosion aging depth change data of the detection wire clamp per unit time; the corrosion aging area and corrosion aging depth of the wire clamp per unit time are calculated. The change value of the corrosion aging depth is calculated, and then the difference between the preset corrosion aging area threshold and the preset corrosion aging depth threshold and the corrosion aging area change value and the corrosion aging depth change value corresponding to the wire clamp is calculated, and then the calculated difference is divided by the corrosion aging area change data and the corrosion aging depth change data per unit time, respectively, to obtain the time required for the wire clamp to reach the preset corrosion aging area threshold and the preset corrosion aging depth threshold, and the minimum value of the two times is taken as the threshold arrival time; the threshold arrival time data is compared with the time data corresponding to the maintenance cycle. If the threshold arrival time is greater than the maintenance cycle, the influence of the degree of damage to the wire clamp on the cable suspension is judged.

[0052] Preset clip deformation ratio Damage ratio to wire clamp The weight coefficient is used to adjust the deformation ratio of the wire clamp The product of the corresponding weight coefficient and the damage ratio of the wire clamp The sum of the products of the corresponding weight coefficients is calculated to obtain the damage degree data of the wire clamp;

[0053] The diameter data of the wire clamp suspension cable is detected, and then the spacing data of adjacent wire clamps on the suspension cable is obtained; the greater the degree of damage of the wire clamp, the smaller the clamping force provided for the cable suspension, and the preset value range of the wire clamp damage degree data is [0,1]. When the wire clamp damage degree data value is 0, it means that the wire clamp is not damaged, and the clamping force of the completely undamaged wire clamp on the suspension cable is recorded as the initial clamping force; when the wire clamp damage degree data value is 1, it means that the wire clamp is damaged; then the difference between data 1 and the wire clamp damage degree data is multiplied by the initial clamping force data to obtain the wire clamp clamping force data based on the degree of damage; the cross-sectional area data of the suspension cable is calculated through the diameter data of the suspension cable, and the cable cross-sectional area data is multiplied by the specific gravity of the cable material, and then multiplied by the twisting coefficient to obtain the cable weight data per unit length, and the cable weight data per unit length Multiply the spacing between adjacent clips on the hanging cable by the distance between adjacent clips on the hanging cable. , multiplied by the gravity acceleration data at the location of the hanging cable , obtain a vertical downward force data corresponding to the cable's own weight, recorded as the cable's own weight force data, the maximum clamping force data of the wire clamp minus the product of the cable's own weight force data and the wire clamp's weight sensitivity coefficient, and obtain the result value recorded as the wire clamp's clamping force data based on the cable's own weight; calculate the difference between the wire clamp's clamping force data based on the degree of damage and the wire clamp's clamping force data based on the cable's own weight, and obtain the wire clamp's remaining clamping force data. If the wire clamp's remaining clamping force data is less than the cable's own weight force data, it is determined that the cable will fall off the wire clamp, and the force on the wire clamps on both sides after falling off is analyzed. When the middle wire clamp is damaged and cannot provide clamping force, the wire clamps on both sides of the damaged wire clamp are subjected to increased force, and the increase value is Half of the cable weight data corresponding to the distance between adjacent wire clamps, that is, the force on the wire clamps on both sides is increased to 1.5 times the original force data of the wire clamps; the residual clamping force data of the wire clamps on both sides are obtained. If the residual clamping force data of one of the wire clamps on both sides is less than 1.5 times the cable self-weight force data, it is determined that the middle wire clamp should be replaced; otherwise, the residual clamping force data corresponding to the time when the wire clamp reaches the threshold is calculated. If the residual clamping force data corresponding to the time when the threshold is reached is greater than the cable self-weight force data, the force of the wire clamps on both sides is analyzed again. If the residual clamping force data of one of the wire clamps on both sides is less than 1.5 times the cable self-weight force data, it is determined that the wire clamp should be replaced;

[0054] Retrieve the historical maintenance data of the wire clamp, obtain the replacement cycle of the wire clamp at the same position, combine the obtained cycle data into a replacement cycle data group, and average the cycle data in the replacement cycle data group and standard deviation The calculation of the abnormal value is set to , delete the replacement cycle data that are not within the abnormal value judgment range, then update the replacement cycle data group, and average the replacement cycle data in the updated replacement cycle data group Calculation of the mean The damage degree data of the wire clamp at the corresponding position is calculated for the maintenance cycle. The damage degree data is the critical value that can last for a maintenance cycle. The residual clamping force data of the wire clamp is calculated based on the damage degree data of the wire clamp. ; When the middle wire clamp is damaged, the remaining clamping force data of the wire clamps on both sides Need to meet: , derive , the maximum value of the spacing data between adjacent clips is , that is, the distance between adjacent wire clips on the suspension cable is set at It is most reasonable when it is within the range.

[0055] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for detecting defects in a suspended wire clamp, characterized in that: The following steps are involved: Step 1: Appearance and deformation detection. Compare the scanned outer contour map with the outer contour map of the non-destructive wire clamp in the corresponding direction, calculate the proportion of the non-overlapping area, and compare it with the preset deformation threshold. If the deformation ratio of the wire clamp in the six shooting surfaces is greater than the preset deformation threshold, it is determined that the wire clamp needs to be replaced; if it is less than the deformation threshold, proceed to the next step of corrosion aging degree judgment; Step 2: Corrosion and aging detection: classify the grayscale processed images according to whether there is non-overlapping area, divide the classified images into image blocks of the same size, calculate the average grayscale value of each image block, and judge the corrosion and aging status of the wire clamp position; Step 3: Comprehensively evaluate the service life of the wire clamp, classify and calculate the corrosion aging area and depth change data, calculate the wire clamp damage data based on the corrosion aging area and depth change data, and then obtain the corrosion aging change value per unit time, calculate the time to reach the preset aging threshold, and if it is greater than the maintenance cycle, determine the impact of wire clamp damage on cable suspension; Step 4: Evaluate the impact of cable hanging. Calculate the clamping force data of the cable clamp based on the degree of damage and the cable's own weight. According to the calculated remaining clamping force data, determine whether the cable has fallen off and the stress conditions of the cable clamps on both sides, and determine the reasonable range of the spacing between adjacent cable clamps.

2. The method for detecting defects of a suspension clamp according to claim 1, characterized in that: The calculation steps for the non-overlap area ratio are as follows: Step 1: Arrange the image data acquired by shooting in the order of shooting angles, obtain image data in six directions, namely, front, back, left, right, up and down, perform grayscale processing on the image data, scan the outer contour of the wire clamp on the grayscale processed image data, and compare the outer contour image data with the outer contour image of the lossless wire clamp. If the two outer contour images do not completely overlap, it is determined that the outer shape of the wire clamp is damaged, and the position where the incomplete overlap occurs is marked; Step 2: Record the maximum length of the non-overlapping position, and draw perpendicular lines on both sides of the maximum length line to the maximum width position on both sides. Take the maximum length as the base and the perpendicular line as the height to calculate the area at the overlapping position, which is recorded as the non-overlapping area. Sum the non-overlapping areas at each marked position on the corresponding image data and compare them with the area of ​​the outer contour image in the entire image to obtain the ratio of the total non-overlapping area to the total area of ​​the outer contour image, and use the ratio as the deformation ratio of the wire clamp , is the serial number of the shooting direction; Step three: Compare the deformation ratio of the wire clamp of the image data corresponding to the six shooting surfaces with the preset deformation ratio threshold. If the deformation ratio of the wire clamp in the peripheral contour images corresponding to the six shooting surfaces is greater than the preset deformation ratio threshold, it is determined that the deformed wire clamp should be replaced; otherwise, the degree of corrosion and aging of the wire clamp is determined.

3. The method for detecting defects of a suspension clamp according to claim 2, characterized in that: The steps to determine the degree of corrosion and aging of the wire clamp are as follows: Step 1: Remove all image data except the outer contour image, select image data without non-overlapping area and image data with non-overlapping area under the same shooting angle, and divide the image data without non-overlapping area and the image data with non-overlapping area into The image blocks of the same size are calculated for the average gray value of each image block, and the total gray value and the gray value mean of the image block corresponding to the image data without non-overlapping area are recorded as the total gray value without overlapping area. and no heavy ash mean The total grayscale value and the mean grayscale value of the image block corresponding to the image data with non-overlapping area are recorded as the total grayscale value and heavy ash mean ;like , it is determined that there is corrosion and aging at the wire clamp position of the image block corresponding to the heavy gray mean value; Step 2: Take the extreme gray value of the pixel block on the corresponding image block, and calculate the minimum gray value difference between adjacent pixel blocks. Divide the gray value extreme range into The grayscale value of the pixel block on the corresponding image block is The grayscale value of the pixel block on the corresponding image block is calculated, and the absolute value of the calculated difference is divided by , and then multiply by The corresponding height difference is used to obtain the pothole depth data of the wire clip at the corresponding pixel block position; The preset pothole depth threshold is , if the pothole depth data is greater than , it is determined that there is damage inside the wire clamp, and the number of pixel blocks determined to have internal damage is counted. If the number of pixel blocks is greater than the preset damage number value, it is determined that the wire clamp with internal damage needs to be replaced.

4. The method for detecting defects of a suspension clamp according to claim 3, characterized in that: The steps for calculating the damage area and damage depth of the wire clamp based on corrosion aging are as follows: Step 1: Count the total number of pixel blocks occupied by potholes on the outer contour map of the wire clamp, and calculate the ratio of the total number of pixel blocks in the outer contour map to the total number of pixel blocks occupied by potholes, which is recorded as the surface loss value; Mark the position of each pothole on the wire clamp, record the wire clamp thickness data at the marked position, and then divide the depth data of each pothole by the wire clamp thickness data at the wire clamp position corresponding to the pothole to obtain the ratio of the pothole depth to the wire clamp thickness, which is recorded as the depth loss value; Step 2: Preset the weight coefficients of area damage and depth damage of the wire clamp, multiply the surface damage value and depth damage value by the corresponding preset weight coefficients, and then sum them up to obtain the damage ratio data of the wire clamp. ; Step 3: Compare the wire clamp damage ratio data of the six shooting surfaces of the wire clamp with the preset wire clamp damage ratio threshold. If the wire clamp damage ratio data is greater than the preset wire clamp damage ratio threshold, it is determined that the corroded and aged wire clamp should be replaced; otherwise, the time required for the wire clamp to meet the replacement requirements is estimated.

5. The method for detecting defects of a suspension clamp according to claim 4, characterized in that: The estimated steps for replacing the wire clamp are as follows: Step 1: retrieve the historical damage ratio data of wire clamps with different damage ratios at the same position in different time periods, classify the historical damage ratio data according to different corrosion aging areas and corrosion aging depths, arrange the corrosion aging area data and corrosion aging depth data in each classification in chronological order, divide the corrosion aging area data and corrosion aging depth data in the corresponding time period by the time data corresponding to the time period, and obtain the corrosion aging area change data and corrosion aging depth change data of the wire clamp in unit time; Step 2: The damage ratio data of the wire clamp is multiplied by the corrosion aging area change data and the corrosion aging depth change data of the wire clamp over time, and then the two results are multiplied by the weight coefficients of the wire clamp area damage and depth damage, and then the sum is recorded as the wire clamp damage data; Based on the change values ​​of the corrosion aging area and corrosion aging depth of the wire clamp per unit time, a preset corrosion aging area threshold and a preset corrosion aging depth threshold are then calculated, and the time required for the wire clamp to reach the preset corrosion aging area threshold and the preset corrosion aging depth threshold is calculated, and the minimum value of the two times is taken as the threshold arrival time; Step 3: Compare the threshold time data with the time data corresponding to the maintenance cycle. If the threshold time is greater than the maintenance cycle, determine the impact of the damage degree of the wire clamp on the cable suspension.

6. The method for detecting defects of a suspension clamp according to claim 5, characterized in that: The impact of cable clamp damage on cable suspension can be determined by the following steps: Step 1: Preset the deformation ratio of the wire clip Damage ratio to wire clamp The weight coefficient is used to adjust the deformation ratio of the wire clamp Damage ratio of wire clamp Multiply them by the corresponding preset weight coefficients respectively, and then sum them up to obtain the damage degree data of the wire clamp; Step 2: The value range of the wire clamp damage degree data is preset to [0,1]. When the wire clamp damage degree data value is 0, it means that the wire clamp is not damaged, and the clamping force of the undamaged wire clamp on the hanging cable is recorded as the initial clamping force; when the wire clamp damage degree data value is 1, it means that the wire clamp is damaged; then the difference between the data 1 and the wire clamp damage degree data is multiplied by the initial clamping force data to obtain the wire clamp clamping force data based on the damage degree; Step 3: Calculate the cable weight per unit length. Multiply the spacing between adjacent clips on the hanging cable by the distance between adjacent clips on the hanging cable. , multiplied by the gravity acceleration data at the location of the hanging cable , obtain the cable self-weight force data, subtract the product of the cable self-weight force data and the preset weight sensitivity coefficient of the wire clamp from the maximum clamping force data of the wire clamp, and obtain the result value as the clamping force data of the wire clamp based on the cable self-weight; Calculate the difference between the clamping force data of the wire clamp based on the damage degree and the clamping force data of the wire clamp based on the cable weight to obtain the remaining clamping force data of the wire clamp; Step 4: If the remaining clamping force data of the wire clamp is less than the self-weight force data of the cable, it is determined that the cable will fall off the wire clamp, and the remaining clamping force data of the wire clamps on both sides are obtained. If the remaining clamping force data of one of the wire clamps on both sides is less than 1.5 times the self-weight force data of the cable, it is determined that the middle wire clamp needs to be replaced.

7. The method for detecting defects of a suspension clamp according to claim 1, characterized in that: The steps to determine the reasonable range of spacing between adjacent wire clamps are as follows: Step 1: Retrieve the historical maintenance data of the wire clamp, obtain the replacement cycle of the wire clamp at the same position, form a replacement cycle data group with the obtained cycle data, and average the cycle data in the replacement cycle data group. and standard deviation The calculation of the abnormal value is set to , delete the replacement cycle data that is not within the abnormal value judgment range, and then update the replacement cycle data group; Step 2: Average the replacement cycle data in the updated replacement cycle data group Calculation of the mean Calculate the remaining clamping force data of the wire clamp at the corresponding position for the maintenance cycle ; When the middle wire clamp is damaged, the remaining clamping force data of the wire clamps on both sides Need to meet: , derive , that is, the distance between adjacent wire clips on the hanging cable should be set within a reasonable range Inside.

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