A quality assessment system and method for tensile-resistant high-load armored power cable

Abstract

The present invention relates to the field of cable detection technology, and specifically to a tensile high-load armored power cable quality assessment system and method, comprising: a control terminal, a collection layer, an analysis layer and an assessment layer; the control terminal is the main control end of the system, and is used to control system operation and shutdown; the appearance image data of the cable processed by real-time winding and wrapping of steel strips on a steel strip armoring machine and the operating parameters of the steel strip armoring machine are collected through the collection layer, and the cable appearance image is obtained in the cable appearance image data. The present invention brings an analysis of the consistency of overlap of steel strips when the steel strips are wound and wrapped around the cable based on the image collection of the armored cable in the process of assembling through the steel strip armoring machine and the collection of the operating parameters of the steel strip armoring machine to the armored cable, thereby providing quality assessment and qualified judgment for the armored cable manufactured by the steel strip armoring machine based on the consistency analysis of the steel strip overlap combined with the comprehensive evaluation of the operating parameters of the steel strip armoring machine.

Description

Technical Field

[0001] The present invention relates to the technical field of cable detection, and in particular to a quality assessment system and method for a tensile-resistant high-load-bearing armored power cable. Background Art

[0002] The tensile-resistant high-load-bearing armored power cable is an armored power cable with better tensile and load-bearing properties.

[0003] Tensile-resistant high-load armored power cable is a cable with a strong protective layer. Its metal armor layer is usually composed of steel belts or steel wires, which can effectively enhance the cable's compression and tensile resistance. It is suitable for complex environments such as those that may be subjected to mechanical external forces, prone to collisions, or underground laying. For example, in large factories, construction sites, and underground pipe galleries, armored cables can reliably transmit power and signals to ensure stable operation of the system.

[0004] The invention patent with application number 202410302755.0 discloses a cross-linked cable product quality management and control system based on a cable production line, which is characterized by: including: a conductor parameter acquisition module: used to obtain conductor-related parameter information in the production process of cross-linked cables; a cross-linked insulator parameter acquisition module: used to obtain cable insulator-related parameter information in the production process; a cable quality assessment and analysis module: used to integrate the processing results of the conductor parameter acquisition module and the cross-linked insulator parameter acquisition module and comprehensively analyze the current cross-linked cable product quality; a production line feedback control module: used to judge and lock the control position and control method of the target production line according to the processing results of the cable quality assessment and analysis module; a cloud database: used to store all parameter information and processing result information in the cloud and share the information between modules.

[0005] This application aims to solve the problem that "supervision and control of the quality of cable intermediates in the actual production process is also unable to effectively improve and control the quality of cable products obtained in the cross-linked cable production line."

[0006] However, compared with the quality assessment of armored cables, the material of the cable outer steel belt often meets the manufacturing requirements, and the key lies in the orderliness and consistency of the cable surface wrapped by the steel belt when the cable is wrapped with the steel belt.

[0007] To this end, we proposed a quality assessment system for tensile-resistant high-load armored power cables. Summary of the invention

[0008] In view of the above-mentioned shortcomings of the prior art, the present invention provides a quality assessment system and method for a tensile-resistant high-load-bearing armored power cable, which solves the technical problems raised in the above-mentioned background technology.

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0010] In a first aspect, a tensile-type high-load-bearing armored power cable quality assessment system includes: a control terminal, a collection layer, an analysis layer, and an assessment layer;

[0011] The control terminal is the main control terminal of the system, used to control the operation and shutdown of the system;

[0012] The acquisition layer collects the appearance image data of the cable processed by real-time winding and wrapping of steel strips on the steel strip armoring machine and the operating parameters of the steel strip armoring machine, obtains the cable appearance image from the cable appearance image data, and forwards the cable appearance image to the analysis layer in real time. After receiving the cable appearance image collected by the acquisition layer, the analysis layer extracts the cable appearance contour image from the cable appearance image, and performs segmentation processing on the cable appearance image based on the contour line of the cable appearance contour image to obtain several groups of sub-cable appearance image blocks. The sub-cable appearance image blocks are used to analyze the consistency of the steel strips wound and wrapped on the cable surface. The consistency analysis results of the steel strips wound and wrapped on the cable surface in the analysis layer are transmitted to the evaluation layer. The evaluation layer operates to obtain the operating parameters of the steel strip armoring machine and the consistency of the steel strips wound and wrapped on the cable surface, and combines the two to evaluate the quality of the armored cable made by the steel strip armoring machine.

[0013] The analysis layer includes a receiving module, a segmentation module and an analysis module. The receiving module is used to receive the cable appearance image. The segmentation module is used to identify the cable appearance contour image in the cable appearance image, and segment the cable appearance image based on the contour line in the cable appearance contour image to obtain sub-cable appearance image blocks. The analysis module is used to identify the similarity between each sub-cable appearance image block, and analyze the consistency of the steel belt wrapped around the cable surface based on the similarity between the sub-cable appearance image blocks.

[0014] When the analysis module identifies the similarity between each sub-cable appearance image block, each sub-cable appearance image block is recorded as a group of two adjacent sub-cable appearance image blocks as a similarity recognition image, and further calculated by the following formula:

[0015]

[0016] Where: is the similarity between the i-th group of similarity recognition images and the i+1-th group of similarity recognition images; The total number of contour pixels on the i-th group similarity recognition image; The total number of contour pixels on the i+1th group of similarity recognition images; is the calibration factor; Identify the set of contour bending points on the image for similarity; The number of pixels between the jth group of contour inflection points and the j+1th group of contour inflection points in the i-th group similarity recognition image; is the slope of the line segment between the pixels of the jth group of contour bending points and the j+1th group of contour bending points in the i-th group of similarity recognition images; The number of pixels between the jth group of contour bending points and the j+1th group of contour bending points in the i+1th group of similarity recognition images; is the slope of the line segment between the pixels of the jth group of contour bending points and the j+1th group of contour bending points in the i+1th group of similarity recognition images;

[0017] in, The larger the value, the more similar the two sets of similarity recognition images are. Conversely, the less similar they are. The calibration factor The value is 1 or -1, the calibration factor In the fraction, when the numerator is greater than the denominator, the calibration factor When the value is -1 and the numerator is less than or equal to the denominator, the calibration factor The value is 1;

[0018] One side of the steel belt used for winding and wrapping the cable on the steel belt armoring machine is provided with an electroplating coating of a color different from the steel belt itself, and the width of the electroplating coating is 2 to 3 times the overlap width of the steel belts when the steel belts are wound and wrapped around the cable;

[0019] The control terminal is interactively connected to the camera module via a local area network, the camera module is interactively connected to the processing module and the sensor module via the local area network, the sensor module is interactively connected to the receiving module via the local area network, the receiving module is interactively connected to the segmentation module and the analysis module via the local area network, the analysis module is interactively connected to the retrieval module via the local area network, and the retrieval module is interactively connected to the evaluation module and the feedback module via the local area network.

[0020] Furthermore, the acquisition layer includes a camera module, a processing module and a sensor module. The camera module is used to collect appearance image data of the cable that is being processed by steel tape winding and wrapping on the steel tape armoring machine. The processing module is used to receive the cable appearance image data, segment the cable appearance image data to obtain the cable appearance image, and further perform reflection elimination processing on the cable appearance image. The sensor module is used to sense the operating parameters of the steel tape armoring machine.

[0021] Among them, when the camera module collects the cable appearance image data, the cable uses a specified background different from the color of the cable itself as the image background, and executes the collection of the cable appearance image data. When the processing module performs segmentation processing on the cable appearance image data, it uses all pixel blocks of the image background color in the cable appearance image data as segmentation targets, and separates them from the cable appearance image data. After the separation operation is completed, the resulting image is the cable appearance image. The sensor module is integrated by the sensor, and the sensor module operates to sense the operating parameters of the steel belt armoring machine, including: the tension of the steel belt transmitted on the steel belt armoring machine, and the transmission speed of the steel belt transmitted on the steel belt armoring machine.

[0022] Furthermore, the camera module is integrated with a high-definition high-speed camera. When the steel strip armoring machine is wrapping and processing the cable in real time, the camera module and the sensor module continuously collect the cable appearance image data and the operation parameters of the steel strip armoring machine based on the set frequency. The frequency of the camera module and the sensor module operation application is subject to: the longer the length of the cable processed by the steel strip armoring machine at a time, the lower the frequency of the camera module and the sensor module operation application, and vice versa, the higher the frequency of the camera module and the sensor module operation application;

[0023] The reflection elimination processing logic for the cable appearance image in the processing module is expressed as follows:

[0024] Logic 1: Convert the cable appearance image into a grayscale image, set the reflective pixel block judgment value, compare the reflective pixel block judgment value with the grayscale value of each pixel block in the grayscale image, determine the reflective pixel block and extract it;

[0025] Logic2: Adjust the extracted reflective pixel blocks to eliminate the reflective visual effect of the pixel blocks, and further reposition the pixel blocks with the eliminated reflective visual effect to the reflective pixel block extraction position to obtain a grayscale image with the eliminated reflective visual effect.

[0026] Furthermore, the determination and adjustment logic of the reflective pixel block in Logic1 and Logic2 is expressed as follows:

[0027] ;

[0028] Where: is the gray value of the pixel block; is the grayscale mean of the pixel block; is the standard deviation of the pixel block; is the judgment value of the reflective pixel block; Pixel blocks to eliminate reflective visual effects; is the adjustment factor;

[0029] When formula (1) is established, Applied to formula (2), conversely The corresponding pixel block is a pixel block without a reflective visual effect. In the above formula, the pixel block is an image block of not less than 2×2 obtained by uniformly dividing the grayscale image. The adjustment coefficient ∈[0, 1], and obey The larger the value, the greater the adjustment factor The larger the value, the smaller the value. The setting logic, the adjustment coefficient The closer the value is to 0.5, the better the anti-glare visual effect of the pixel block.

[0030] Furthermore, the cable appearance image received by the receiving module is a grayscale image after grayscale conversion and adjustment of the reflective pixel block;

[0031] When identifying the cable appearance contour image in the cable appearance image, the segmentation module distinguishes the cable image area and the electroplating coating image area in the cable appearance image by using the cable grayscale value and the electroplating coating grayscale value in the cable appearance image. The sum of the closed figures formed by the adjacent and mutually connected edge pixels of each cable image area and the electroplating coating image area is the cable appearance contour image. The cable appearance contour image is segmented based on each group of internal closed figures to obtain a sub-cable appearance image block.

[0032] When identifying the similarities between the sub-cable appearance image blocks, the analysis module discards the two groups of sub-cable appearance image blocks at the end positions.

[0033] Furthermore, the analysis logic of the consistency of the steel tape wrapped around the cable surface is expressed as:

[0034] ;

[0035] Where: To ensure the consistency of the steel tape wrapped around the cable surface; Identify a collection of images for similarity; is the similarity between the i-th group of similarity recognition images and the i+1-th group of similarity recognition images;

[0036] Among them, the consistency of the steel tape wrapped around the cable surface The larger the value is, the higher the consistency of the steel tape wrapped around the cable surface is; conversely, the smaller the value is, the lower the consistency of the steel tape wrapped around the cable surface is.

[0037] Furthermore, the evaluation layer includes a retrieval module, an evaluation module and a feedback module. The retrieval module is used to retrieve the operating parameters of the steel strip armoring machine collected in the collection layer and the consistency analysis results of the steel strip wrapped around the cable surface in the analysis layer. The evaluation module is used to receive the operating parameters of the steel strip armoring machine and the consistency analysis results of the steel strip wrapped around the cable surface retrieved in the retrieval module, evaluate the quality of the armored cable made by the steel strip armoring machine based on the operating parameters of the steel strip armoring machine and the consistency analysis results of the steel strip wrapped around the cable surface, set a judgment threshold and compare it with the quality evaluation result of the armored cable made by the steel strip armoring machine to determine whether the armored cable is qualified. The feedback module is used to obtain the judgment result of whether the armored cable is qualified in the evaluation module, and output the judgment result to the control terminal;

[0038] Among them, when the judgment result of the feedback module feedback is unqualified, the consistency of the steel belt wrapped around the surface of the synchronous feedback cable The three groups of similarity identification images with the lowest similarity among the source similarity identification images, and the acquisition time nodes of the cable appearance images where the three groups of similarity identification images with the lowest similarity are located.

[0039] Furthermore, the evaluation logic of the quality of the armored cable made by the steel tape armoring machine in the evaluation module is expressed as:

[0040] ;

[0041] Where: The quality performance value of the armored cable made by the steel tape armoring machine; To ensure the consistency of the steel tape wrapped around the cable surface; is the tension of the transmission steel belt sensed by the sensor module during the vth operation; The transmission speed of the transmission steel belt sensed by the sensor module during the vth operation; is the normalization factor;

[0042] Among them, the normalization factor >0, quality performance value of armored cable made by steel tape armoring machine The larger it is, the better the quality of the armored cable made by the steel tape armoring machine is, and vice versa.

[0043] In a second aspect, a method for evaluating the quality of a tensile high-load armored power cable comprises the following steps:

[0044] Step 1: Collect the cable appearance image data and operating parameters processed in real time on the steel tape armoring machine;

[0045] Step 2: Obtain a cable appearance image from the cable appearance image data, convert the cable appearance image into a grayscale image, and perform reflection elimination processing on the grayscale image;

[0046] Step 3: Obtain a grayscale image after the reflection is eliminated, extract the cable appearance contour image from the grayscale image, and segment the grayscale image based on the contour lines in the cable appearance contour image to obtain several groups of sub-grayscale images;

[0047] Step 4: discard the sub-grayscale images at the two end positions of the sub-grayscale images relative to the cable appearance contour image, and splice the remaining sub-grayscale images in pairs to obtain several groups of spliced ​​graphics, which are recorded as similarity recognition images;

[0048] Step 5: Use similarity recognition image analysis to determine the consistency of the steel tape wrapped around the cable surface;

[0049] Step 6: Evaluate the quality of armored cables made by the steel tape armoring machine based on the results of the consistency analysis;

[0050] Step 7: The steel tape armoring machine makes a qualified judgment on the armored cable and outputs the judgment results.

[0051] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0052] The present invention provides a tensile high-load armored power cable quality assessment system. During operation, the system acquires images of the armored cable during assembly by a steel belt armoring machine and acquires operating parameters of the steel belt armoring machine, thereby analyzing the consistency of overlap of steel belts when the steel belts are wound around the cable. Based on the consistency analysis of the steel belt overlap and combined with a comprehensive assessment of the operating parameters of the steel belt armoring machine, the system provides quality assessment and qualification judgment for the armored cable manufactured by the steel belt armoring machine, thereby ensuring that the steel belt armoring machine produces armored cables based on production standards and ensuring the quality of the armored cables.

[0053] At the same time, a method for evaluating the quality of tensile-resistant high-load armored power cables is provided. Based on the execution of the steps in the method, the above system provides further operation logic support to ensure that the system can stably provide effective quality evaluation for the armored cables produced by the steel strip armoring machine. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0055] Figure 1 It is a structural schematic diagram of a tensile-type high-load-bearing armored power cable quality assessment system;

[0056] Figure 2 It is a flow chart of a quality assessment method for tensile-resistant high-load armored power cables;

[0057] Figure 3 A logical schematic diagram of segmenting a grayscale image into image blocks in the present invention;

[0058] Figure 4 This is a display diagram of the electroplating coating on the surface of the steel strip and the similarity recognition image in the present invention. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not 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.

[0060] The present invention will be further described below in conjunction with the embodiments. Example

[0061] A tensile-type high-load-bearing armored power cable quality assessment system of this embodiment is as follows: Figure 1 As shown, it includes: control terminal, collection layer, analysis layer and evaluation layer;

[0062] The control terminal is the main control terminal of the system, used to control the operation and shutdown of the system;

[0063] The acquisition layer collects the appearance image data of the cable processed by real-time winding and wrapping of steel strips on the steel strip armoring machine and the operating parameters of the steel strip armoring machine, obtains the cable appearance image from the cable appearance image data, and forwards the cable appearance image to the analysis layer in real time. After receiving the cable appearance image collected by the acquisition layer, the analysis layer extracts the cable appearance contour image from the cable appearance image, and performs segmentation processing on the cable appearance image based on the contour line of the cable appearance contour image to obtain several groups of sub-cable appearance image blocks. The sub-cable appearance image blocks are used to analyze the consistency of the steel strips wound and wrapped on the cable surface. The consistency analysis results of the steel strips wound and wrapped on the cable surface in the analysis layer are transmitted to the evaluation layer. The evaluation layer operates to obtain the operating parameters of the steel strip armoring machine and the consistency of the steel strips wound and wrapped on the cable surface, and combines the two to evaluate the quality of the armored cable made by the steel strip armoring machine.

[0064] The acquisition layer includes a camera module, a processing module and a sensor module. The camera module is used to collect the appearance image data of the cable that is being wrapped with steel strips on the steel strip armoring machine. The processing module is used to receive the cable appearance image data, segment the cable appearance image data to obtain the cable appearance image, and further perform reflection elimination processing on the cable appearance image. The sensor module is used to sense the operating parameters of the steel strip armoring machine.

[0065] Among them, when the camera module collects the cable appearance image data, the cable uses a specified background different from the color of the cable itself as the image background, and performs the collection of the cable appearance image data. When the processing module performs segmentation processing on the cable appearance image data, the pixel blocks of all image background colors in the cable appearance image data are used as segmentation targets, and are separated from the cable appearance image data. After the separation operation is completed, the resulting image is the cable appearance image. The sensor module is integrated by the sensor. The sensor module operates to sense the operating parameters of the steel belt armoring machine, including: the tension of the steel belt transmitted on the steel belt armoring machine, and the transmission speed of the steel belt transmitted on the steel belt armoring machine;

[0066] The analysis layer includes a receiving module, a segmentation module and an analysis module. The receiving module is used to receive the cable appearance image. The segmentation module is used to identify the cable appearance contour image in the cable appearance image, and segment the cable appearance image based on the contour line in the cable appearance contour image to obtain sub-cable appearance image blocks. The analysis module is used to identify the similarity between each sub-cable appearance image block, and analyze the consistency of the steel belt wrapped around the cable surface based on the similarity between the sub-cable appearance image blocks.

[0067] When the analysis module identifies the similarity between each sub-cable appearance image block, each sub-cable appearance image block is recorded as a group of two adjacent sub-cable appearance image blocks as a similarity recognition image, and further calculated by the following formula:

[0068]

[0069] Where: is the similarity between the i-th group of similarity recognition images and the i+1-th group of similarity recognition images; The total number of contour pixels on the i-th group similarity recognition image; The total number of contour pixels on the i+1th group of similarity recognition images; is the calibration factor; Identify the set of contour bending points on the image for similarity; The number of pixels between the jth group of contour inflection points and the j+1th group of contour inflection points in the i-th group similarity recognition image; is the slope of the line segment between the pixels of the jth group of contour bending points and the j+1th group of contour bending points in the i-th group of similarity recognition images; The number of pixels between the jth group of contour bending points and the j+1th group of contour bending points in the i+1th group of similarity recognition images; is the slope of the line segment between the pixels of the jth group of contour bending points and the j+1th group of contour bending points in the i+1th group of similarity recognition images;

[0070] in, The larger the value, the more similar the two sets of similarity recognition images are. Conversely, the less similar they are. The calibration factor The value is 1 or -1, the calibration factor In the fraction, when the numerator is greater than the denominator, the calibration factor When the value is -1 and the numerator is less than or equal to the denominator, the calibration factor The value is 1;

[0071] The analysis logic of the consistency of the steel tape wrapped around the cable surface is expressed as:

[0072] ;

[0073] Where: To ensure the consistency of the steel tape wrapped around the cable surface; Identify a collection of images for similarity; is the similarity between the i-th group of similarity recognition images and the i+1-th group of similarity recognition images;

[0074] Among them, the consistency of the steel tape wrapped around the cable surface The larger the value, the higher the consistency of the steel tape wrapped around the cable surface, and vice versa, the lower the consistency of the steel tape wrapped around the cable surface;

[0075] The evaluation layer includes a retrieval module, an evaluation module and a feedback module. The retrieval module is used to retrieve the operating parameters of the steel strip armoring machine collected in the collection layer and the consistency analysis results of the steel strip wrapped around the cable surface in the analysis layer. The evaluation module is used to receive the operating parameters of the steel strip armoring machine and the consistency analysis results of the steel strip wrapped around the cable surface retrieved in the retrieval module, evaluate the quality of the armored cable made by the steel strip armoring machine based on the operating parameters of the steel strip armoring machine and the consistency analysis results of the steel strip wrapped around the cable surface, set a judgment threshold and compare it with the quality evaluation result of the armored cable made by the steel strip armoring machine to determine whether the armored cable is qualified. The feedback module is used to obtain the judgment result of whether the armored cable is qualified in the evaluation module, and output the judgment result to the control terminal;

[0076] Among them, when the judgment result of the feedback module feedback is unqualified, the consistency of the steel belt wrapped around the surface of the synchronous feedback cable The three groups of similarity identification images with the lowest similarity among the source similarity identification images, and the acquisition time nodes of the cable appearance images where the three groups of similarity identification images with the lowest similarity are located;

[0077] The evaluation logic of the quality of the armored cable made by the steel tape armoring machine in the evaluation module is expressed as follows:

[0078] ;

[0079] Where: The quality performance value of the armored cable made by the steel tape armoring machine; To ensure the consistency of the steel tape wrapped around the cable surface; is the tension of the transmission steel belt sensed by the sensor module during the vth operation; The transmission speed of the transmission steel belt sensed by the sensor module during the vth operation; is the normalization factor;

[0080] Among them, the normalization factor >0, quality performance value of armored cable made by steel tape armoring machine The larger the value, the better the quality of the armored cable made by the steel tape armoring machine, and vice versa.

[0081] The control terminal is interactively connected to the camera module via the local area network, the camera module is interactively connected to the processing module and the sensor module via the local area network, the sensor module is interactively connected to the receiving module via the local area network, the receiving module is interactively connected to the segmentation module and the analysis module via the local area network, the analysis module is interactively connected to the retrieval module via the local area network, and the retrieval module is interactively connected to the evaluation module and the feedback module via the local area network;

[0082] One side of the steel belt used for winding and wrapping the cable on the steel belt armoring machine is provided with an electroplating coating of a color different from the steel belt itself, and the width of the electroplating coating is 2 to 3 times the overlap width of the steel belts when the steel belts are wound and wrapped around the cable.

[0083] In this embodiment, when the steel strip armoring machine is running, the control terminal control system runs synchronously, the camera module runs to collect appearance image data of the cable that is being processed by steel strip winding and wrapping on the steel strip armoring machine, the processing module synchronously receives the cable appearance image data, segments the cable appearance image data to obtain the cable appearance image, and further performs reflection elimination processing on the cable appearance image. The sensor module senses the operating parameters of the steel strip armoring machine in real time, the receiving module post-operates the cable appearance image, the segmentation module further identifies the cable appearance contour image in the cable appearance image, and segments the cable appearance image based on the contour lines in the cable appearance contour image to obtain sub-cable appearance image blocks, and then the analysis module identifies the similarity between the sub-cable appearance image blocks based on the sub-cable appearance image blocks. The consistency of the steel strip wrapped on the cable surface is analyzed by the similarity between them. Finally, the retrieval module is used to retrieve the operating parameters of the steel strip armoring machine collected in the collection layer and the consistency analysis results of the steel strip wrapped on the cable surface in the analysis layer. The evaluation module operates to receive the operating parameters of the steel strip armoring machine and the consistency analysis results of the steel strip wrapped on the cable surface retrieved in the retrieval module. Based on the consistency analysis results of the operating parameters of the steel strip armoring machine and the steel strip wrapped on the cable surface, the quality of the armored cable made by the steel strip armoring machine is evaluated. The judgment threshold is set and compared with the quality evaluation result of the armored cable made by the steel strip armoring machine to determine whether the armored cable is qualified. The feedback module finally obtains the judgment result of whether the armored cable is qualified in the evaluation module, and outputs the judgment result to the control terminal.

[0084] Through the operation of the system in the above embodiment, the orderliness and consistency of the steel strip winding and wrapping of the armored cable during the production process of the steel strip armoring machine are monitored, thereby further realizing the quality assessment of the armored cable and providing guarantee for the high-quality production of the armored cable.

[0085] See also Figure 3 As shown, the figure further shows the logic of grayscale image segmentation in the stage of eliminating the reflective visual effect after the cable appearance image is converted into a grayscale image;

[0086] See also Figure 4 As shown, based on the reference numerals in the figures;

[0087] The shaded part in the image sheet (a) represents the electroplating coating on the steel strip, which serves as a reference. When the above system obtains the cable appearance contour image, the cable appearance contour image can contain more reference information, so that when analyzing the similarity between each sub-cable appearance image block based on the cable appearance contour image, more parameters can be used, thereby ultimately improving the accuracy of the analysis result of the consistency of the steel strip wrapped around the cable surface;

[0088] Figure (b) further shows the state where the electroplated steel strip is wrapped around the cable surface;

[0089] Image (c) shows the similarity recognition image based on image (b). Example

[0090] In terms of specific implementation, based on Example 1, this example refers to Figure 1 A tensile-type high-load-bearing armored power cable quality assessment system in Example 1 is further specifically described:

[0091] The camera module is integrated with a high-definition high-speed camera. When the steel tape armoring machine is wrapping and processing the cable in real time, the camera module and the sensor module continuously collect the cable appearance image data and the operating parameters of the steel tape armoring machine based on the set frequency. The operating frequency of the camera module and the sensor module follows: the longer the length of the cable processed by the steel tape armoring machine at a time, the lower the operating frequency of the camera module and the sensor module. Conversely, the higher the operating frequency of the camera module and the sensor module;

[0092] The reflection elimination processing logic for the cable appearance image in the processing module is expressed as:

[0093] Logic 1: Convert the cable appearance image into a grayscale image, set the reflective pixel block judgment value, compare the reflective pixel block judgment value with the grayscale value of each pixel block in the grayscale image, determine the reflective pixel block and extract it;

[0094] Logic 2: adjusting the extracted reflective pixel blocks to eliminate the reflective visual effect of the pixel blocks, and further relocating the pixel blocks with the reflective visual effect eliminated to the reflective pixel block extraction position to obtain a grayscale image with the reflective visual effect eliminated;

[0095] The judgment and adjustment logic of the reflective pixel blocks in Logic1 and Logic2 are expressed as follows:

[0096] ;

[0097] Where: is the gray value of the pixel block; is the grayscale mean of the pixel block; is the standard deviation of the pixel block; is the judgment value of the reflective pixel block; Pixel blocks to eliminate reflective visual effects; is the adjustment factor;

[0098] When formula (1) is established, Applied to formula (2), conversely The corresponding pixel block is a pixel block without a reflective visual effect. In the above formula, the pixel block is an image block of not less than 2×2 obtained by uniformly dividing the grayscale image. The adjustment coefficient ∈[0, 1], and obey The larger the value, the greater the adjustment factor The larger the value, the smaller the value. The setting logic, the adjustment coefficient The closer the value is to 0.5, the better the anti-glare visual effect of the pixel block.

[0099] Through the above settings, the integrated structure of the camera module of the system in Example 1 is limited, and the reflection elimination processing logic for the cable appearance image in the processing module is further limited, providing more accurate prerequisite data for the operation of subsequent operation layers in the system, ensuring that the system operation output results are more accurate.

[0100] like Figure 1 As shown, the cable appearance image received by the receiving module is a grayscale image after grayscale conversion and adjustment of the reflective pixel block;

[0101] When identifying the cable appearance contour image in the cable appearance image, the segmentation module distinguishes the cable image area and the electroplating coating image area in the cable appearance image by using the cable gray value and the electroplating coating gray value in the cable appearance image. The sum of the closed figures formed by the adjacent and mutually connected edge pixels of each cable image area and the electroplating coating image area is the cable appearance contour image. The cable appearance contour image is segmented based on each group of internal closed figures to obtain a sub-cable appearance image block.

[0102] When identifying the similarities between the sub-cable appearance image blocks, the analysis module discards the two groups of sub-cable appearance image blocks at the end positions.

[0103] Through the above settings, the logic and source of the sub-cable appearance image block segmentation are further limited. Example

[0104] In terms of specific implementation, based on Example 1, this example refers to Figure 2 A tensile-type high-load-bearing armored power cable quality assessment system in Example 1 is further specifically described:

[0105] A method for evaluating the quality of a tensile high-load armored power cable comprises the following steps:

[0106] Step 1: Collect the cable appearance image data and operating parameters processed in real time on the steel tape armoring machine;

[0107] Step 2: Obtain a cable appearance image from the cable appearance image data, convert the cable appearance image into a grayscale image, and perform reflection elimination processing on the grayscale image;

[0108] Step 3: Obtain a grayscale image after the reflection is eliminated, extract the cable appearance contour image from the grayscale image, and segment the grayscale image based on the contour lines in the cable appearance contour image to obtain several groups of sub-grayscale images;

[0109] Step 4: discard the sub-grayscale images at the two end positions of the sub-grayscale images relative to the cable appearance contour image, and splice the remaining sub-grayscale images in pairs to obtain several groups of spliced ​​graphics, which are recorded as similarity recognition images;

[0110] Step 5: Use similarity recognition image analysis to determine the consistency of the steel tape wrapped around the cable surface;

[0111] Step 6: Evaluate the quality of armored cables made by the steel tape armoring machine based on the results of the consistency analysis;

[0112] Step 7: Qualification determination of armored cables made by steel tape armoring machine and output of determination results

[0113] In summary, during the operation of the system in the above embodiment, through image capture of the armored cable during the assembly process of the steel strip armoring machine and the collection of the operating parameters of the steel strip armoring machine, the armored cable is analyzed based on the consistency of the overlap of the steel strips when the steel strips are wound around the cable. Based on the consistency analysis of the steel strip overlap and combined with the comprehensive evaluation of the operating parameters of the steel strip armoring machine, the armored cable manufactured by the steel strip armoring machine is provided with quality evaluation and qualification judgment, ensuring that the steel strip armoring machine produces armored cables based on production standards and the quality of the armored cables. At the same time, based on the execution of the steps of the method in the above embodiment, the above system provides further operation logic support to ensure that the system stably provides effective quality evaluation for the armored cables produced by the steel strip armoring machine.

[0114] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A tensile high-load armored power cable quality assessment system, characterized in that: include: Control terminal, collection layer, analysis layer and evaluation layer; The control terminal is the main control terminal of the system, used to control the operation and shutdown of the system; The acquisition layer collects the appearance image data of the cable processed by real-time winding and wrapping of steel strips on the steel strip armoring machine and the operating parameters of the steel strip armoring machine, obtains the cable appearance image from the cable appearance image data, and forwards the cable appearance image to the analysis layer in real time. After receiving the cable appearance image collected by the acquisition layer, the analysis layer extracts the cable appearance contour image from the cable appearance image, and performs segmentation processing on the cable appearance image based on the contour line of the cable appearance contour image to obtain several groups of sub-cable appearance image blocks. The sub-cable appearance image blocks are used to analyze the consistency of the steel strips wound and wrapped on the cable surface. The consistency analysis results of the steel strips wound and wrapped on the cable surface in the analysis layer are transmitted to the evaluation layer. The evaluation layer operates to obtain the operating parameters of the steel strip armoring machine and the consistency of the steel strips wound and wrapped on the cable surface, and combines the two to evaluate the quality of the armored cable made by the steel strip armoring machine. The analysis layer includes a receiving module, a segmentation module and an analysis module. The receiving module is used to receive the cable appearance image. The segmentation module is used to identify the cable appearance contour image in the cable appearance image, and segment the cable appearance image based on the contour line in the cable appearance contour image to obtain sub-cable appearance image blocks. The analysis module is used to identify the similarity between each sub-cable appearance image block, and analyze the consistency of the steel belt wrapped around the cable surface based on the similarity between the sub-cable appearance image blocks. When the analysis module identifies the similarity between each sub-cable appearance image block, each sub-cable appearance image block is recorded as a group of two adjacent sub-cable appearance image blocks as a similarity recognition image, and further calculated by the following formula: ； Where: is the similarity between the i-th group of similarity recognition images and the i+1-th group of similarity recognition images; The total number of contour pixels on the i-th group similarity recognition image; The total number of contour pixels on the i+1th group of similarity recognition images; is the calibration factor; Identify the set of contour bending points on the image for similarity; The number of pixels between the jth group of contour inflection points and the j+1th group of contour inflection points in the i-th group similarity recognition image; is the slope of the line segment between the pixels of the jth group of contour bending points and the j+1th group of contour bending points in the i-th group of similarity recognition images; The number of pixels between the jth group of contour bending points and the j+1th group of contour bending points in the i+1th group of similarity recognition images; is the slope of the line segment between the pixels of the jth group of contour bending points and the j+1th group of contour bending points in the i+1th group of similarity recognition images; in, The larger the value, the more similar the two sets of similarity recognition images are. Conversely, the less similar they are. The calibration factor The value is 1 or -1, the calibration factor In the fraction, when the numerator is greater than the denominator, the calibration factor When the value is -1 and the numerator is less than or equal to the denominator, the calibration factor The value is 1; One side of the steel belt used for winding and wrapping the cable on the steel belt armoring machine is provided with an electroplating coating different from the color of the steel belt itself, and the width of the electroplating coating is 2 to 3 times the overlap width of the steel belts when the steel belts are wound and wrapped around the cable.

2. A tensile-type high-load-bearing armored power cable quality assessment system according to claim 1, characterized in that: The acquisition layer includes a camera module, a processing module and a sensor module. The camera module is used to collect the appearance image data of the cable that is being processed by steel strip winding and wrapping on the steel strip armoring machine. The processing module is used to receive the cable appearance image data, segment the cable appearance image data to obtain the cable appearance image, and further perform reflection elimination processing on the cable appearance image. The sensor module is used to sense the operating parameters of the steel strip armoring machine; Among them, when the camera module collects the cable appearance image data, the cable uses a specified background different from the color of the cable itself as the image background, and executes the collection of the cable appearance image data. When the processing module performs segmentation processing on the cable appearance image data, it uses all pixel blocks of the image background color in the cable appearance image data as segmentation targets, and separates them from the cable appearance image data. After the separation operation is completed, the resulting image is the cable appearance image. The sensor module is integrated by the sensor, and the sensor module operates to sense the operating parameters of the steel belt armoring machine, including: the tension of the steel belt transmitted on the steel belt armoring machine, and the transmission speed of the steel belt transmitted on the steel belt armoring machine.

3. A tensile-type high-load-bearing armored power cable quality assessment system according to claim 2, characterized in that: The camera module is integrated with a high-definition high-speed camera. When the steel strip armoring machine is wrapping and processing the cable in real time, the camera module and the sensor module continuously collect the cable appearance image data and the operation parameters of the steel strip armoring machine based on the set frequency. The frequency of the camera module and the sensor module operation application is subject to: the longer the length of the cable processed by the steel strip armoring machine at a time, the lower the frequency of the camera module and the sensor module operation application, and vice versa, the higher the frequency of the camera module and the sensor module operation application; The reflection elimination processing logic for the cable appearance image in the processing module is expressed as follows: Logic 1: Convert the cable appearance image into a grayscale image, set the reflective pixel block judgment value, compare the reflective pixel block judgment value with the grayscale value of each pixel block in the grayscale image, determine the reflective pixel block and extract it; Logic2: Adjust the extracted reflective pixel blocks to eliminate the reflective visual effect of the pixel blocks, and further reposition the pixel blocks with the eliminated reflective visual effect to the reflective pixel block extraction position to obtain a grayscale image with the eliminated reflective visual effect.

4. A tensile-type high-load-bearing armored power cable quality assessment system according to claim 3, characterized in that: The determination and adjustment logic of the reflective pixel block in Logic1 and Logic2 is expressed as follows: ； Where: is the gray value of the pixel block; is the grayscale mean of the pixel block; is the standard deviation of the pixel block; is the judgment value of the reflective pixel block; Pixel blocks to eliminate reflective visual effects; is the adjustment factor; When formula (1) is established, Applied to formula (2), conversely The corresponding pixel block is a pixel block without a reflective visual effect. In the above formula, the pixel block is an image block of not less than 2×2 obtained by uniformly dividing the grayscale image. The adjustment coefficient ∈[0, 1], and obey The larger the value of The larger the value, the smaller the value. The setting logic, the adjustment coefficient The closer the value is to 0.5, the better the anti-glare visual effect of the pixel block.

5. A tensile-type high-load-bearing armored power cable quality assessment system according to claim 1, characterized in that: The cable appearance image received by the receiving module is a grayscale image after grayscale conversion and adjustment of the reflective pixel block; When identifying the cable appearance contour image in the cable appearance image, the segmentation module distinguishes the cable image area and the electroplating coating image area in the cable appearance image by using the cable grayscale value and the electroplating coating grayscale value in the cable appearance image. The sum of the closed figures formed by the adjacent and mutually connected edge pixels of each cable image area and the electroplating coating image area is the cable appearance contour image. The cable appearance contour image is segmented based on each group of internal closed figures to obtain a sub-cable appearance image block. When identifying the similarities between the sub-cable appearance image blocks, the analysis module discards the two groups of sub-cable appearance image blocks at the end positions.

6. A tensile-type high-load-bearing armored power cable quality assessment system according to claim 1 or 5, characterized in that: The analysis logic of the consistency of the steel tape wrapped around the cable surface is expressed as: ； Where: To ensure the consistency of the steel tape wrapped around the cable surface; Identify a collection of images for similarity; is the similarity between the i-th group of similarity recognition images and the i+1-th group of similarity recognition images; Among them, the consistency of the steel tape wrapped around the cable surface The larger the value is, the higher the consistency of the steel tape wrapped around the cable surface is; conversely, the smaller the value is, the lower the consistency of the steel tape wrapped around the cable surface is.

7. A tensile-type high-load-bearing armored power cable quality assessment system according to claim 1, characterized in that: The evaluation layer includes a retrieval module, an evaluation module and a feedback module. The retrieval module is used to retrieve the operating parameters of the steel strip armoring machine collected in the collection layer and the consistency analysis results of the steel strip wrapped around the cable surface in the analysis layer. The evaluation module is used to receive the operating parameters of the steel strip armoring machine and the consistency analysis results of the steel strip wrapped around the cable surface retrieved in the retrieval module, evaluate the quality of the armored cable made by the steel strip armoring machine based on the operating parameters of the steel strip armoring machine and the consistency analysis results of the steel strip wrapped around the cable surface, set a judgment threshold and compare it with the quality evaluation result of the armored cable made by the steel strip armoring machine to judge whether the armored cable is qualified. The feedback module is used to obtain the judgment result of whether the armored cable is qualified in the evaluation module, and output the judgment result to the control terminal; Among them, when the judgment result of the feedback module feedback is unqualified, the consistency of the steel belt wrapped around the surface of the synchronous feedback cable The three groups of similarity identification images with the lowest similarity among the source similarity identification images, and the acquisition time nodes of the cable appearance images where the three groups of similarity identification images with the lowest similarity are located.

8. A tensile-type high-load-bearing armored power cable quality assessment system according to claim 7, characterized in that: The evaluation logic of the quality of the armored cable made by the steel tape armoring machine in the evaluation module is expressed as follows: ； Where: The quality performance value of the armored cable made by the steel tape armoring machine; To ensure the consistency of the steel tape wrapped around the cable surface; is the tension of the transmission steel belt sensed by the sensor module during the vth operation; The transmission speed of the transmission steel belt sensed by the sensor module during the vth operation; is the normalization factor; Among them, the normalization factor >0, quality performance value of armored cable made by steel tape armoring machine The larger it is, the better the quality of the armored cable made by the steel tape armoring machine is, and vice versa.

9. A tensile-type high-load-bearing armored power cable quality assessment system according to claim 1, characterized in that: The control terminal is interactively connected to the camera module via a local area network, the camera module is interactively connected to the processing module and the sensor module via the local area network, the sensor module is interactively connected to the receiving module via the local area network, the receiving module is interactively connected to the segmentation module and the analysis module via the local area network, the analysis module is interactively connected to the retrieval module via the local area network, and the retrieval module is interactively connected to the evaluation module and the feedback module via the local area network.

10. A method for evaluating the quality of a tensile-resistant high-load armored power cable, the method being an implementation method of a system for evaluating the quality of a tensile-resistant high-load armored power cable as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Collect the cable appearance image data and operating parameters processed in real time on the steel tape armoring machine; Step 2: Obtain a cable appearance image from the cable appearance image data, convert the cable appearance image into a grayscale image, and perform reflection elimination processing on the grayscale image; Step 3: Obtain a grayscale image after the reflection is eliminated, extract the cable appearance contour image from the grayscale image, and segment the grayscale image based on the contour lines in the cable appearance contour image to obtain several groups of sub-grayscale images; Step 4: discard the sub-grayscale images at the two end positions of the sub-grayscale images relative to the cable appearance contour image, and splice the remaining sub-grayscale images in pairs to obtain several groups of spliced ​​graphics, which are recorded as similarity recognition images; Step 5: Use similarity recognition image analysis to determine the consistency of the steel tape wrapped around the cable surface; Step 6: Evaluate the quality of armored cables made by the steel tape armoring machine based on the results of the consistency analysis; Step 7: The steel tape armoring machine makes a qualified judgment on the armored cable and outputs the judgment results.

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