Quality detection system for cable processing

Abstract

A quality detection system for cable processing relates to the technical field of quality detection and comprises a main control center which is in communication connection with a data acquisition module, a model construction module, a sampling point selection module, an image acquisition module, a data transmission module, a sampling point determination module and a cable cutting module. The data acquisition module is used for acquiring cable information, the model construction module is used for constructing a digital twin model, the sampling point selection module is used for obtaining sampling points, the image acquisition module is used for obtaining sampling images and sampling data, and the data transmission module is used for transmitting the sampling data. The sampling point determination module is used for obtaining a damaged point and generating a cutting signal, and the cable cutting module is used for obtaining a cutting section and cutting the cutting section to obtain a cable sample; the sample quantity of cable sampling can be obviously reduced, and the cable sampling efficiency is improved.

Description

[0001] This application is a divisional application of the application filed on September 2, 2024, with application number 202411218601.X and invention name “A quality inspection system for cable processing”. Technical Field

[0002] The invention relates to the technical field of quality detection, in particular to a quality detection system for cable processing. Background Art

[0003] The quality inspection of wires and cables is a technology used to ensure the quality of wire and cable products. These technologies can automatically detect internal and external defects of cables and ensure that they meet specific safety and performance standards. They can detect and warn potential quality problems in advance, which can significantly improve the reliability and safety of products. The premise of the quality inspection of wires and cables is how to sample the wires and cables.

[0004] In the prior art, sampling of wires and cables is mostly based on random sampling methods, but random sampling will inevitably lead to an imbalance in the sampling positions, either too concentrated or too dispersed. In the prior art, sampling of wires and cables often lacks a pre-judgment mechanism, that is, first judge whether there is any damage on the appearance of the cable, and then sample the damaged position, which leads to a high number of samples, affecting the efficiency of sampling. In view of the shortcomings of the prior art, the present invention provides a quality inspection system for cable processing. Summary of the invention

[0005] The object of the present invention is to provide a quality inspection system for cable processing.

[0006] The object of the present invention can be achieved by the following technical solutions: A quality inspection system for cable processing, comprising a main control center, wherein the main control center is communicatively connected with a data acquisition module, a model building module, a sampling point selection module, an image acquisition module, a data transmission module, a sampling point determination module, and a cable cutting module;

[0007] The data acquisition module is used to collect and store basic information and operation information of the cable;

[0008] The model building module is used to process the collected operation information to obtain corresponding effective operation information, and build a digital twin model of the cable according to the obtained effective operation information;

[0009] The sampling point selection module is used to convert the cable into a sampling area in the digital twin model, and obtain a number of sampling points in the sampling area;

[0010] The image acquisition module is used to visually inspect the cable appearance at the sampling point to obtain a corresponding sampling image, and obtain sampling data according to the sampling image;

[0011] The data transmission module is used to construct a transmission channel, transmit the obtained sampled data, monitor the transmission process to determine whether there is abnormal transmission, and retransmit the sampled data with abnormal transmission;

[0012] The sampling point determination module is used to obtain the appearance coefficient of the cable according to the sampling data, determine whether the cable is damaged according to the obtained appearance coefficient to obtain the corresponding damage point, and generate a cutting signal;

[0013] The cable cutting module is used to obtain a cutting section according to the damaged point, and to cut the cutting section using a cutting tool to obtain a corresponding cable sample.

[0014] Furthermore, the process of the data acquisition module collecting and storing the basic information and operation information of the cable includes:

[0015] A collection unit is set up to collect basic information and operation information of the cable. The basic information of the cable includes but is not limited to cable type, cable structure, cable specifications, electrical properties, and mechanical properties. The operation information of the cable includes but is not limited to historical data, environmental data, and maintenance data. A database is set up, and the collected basic information and operation information are reviewed by the main control center, and the basic information and operation information that have passed the review are uploaded to the database for storage.

[0016] Furthermore, the model building module processes the collected operation information to obtain corresponding effective operation information, and the process of building a digital twin model of the cable according to the obtained effective operation information includes:

[0017] Setting a data processing unit, and performing multiple data preprocessing on the obtained operation information to obtain corresponding valid operation information through the data processing unit, wherein the data preprocessing includes: outlier processing, missing value processing, and normalization processing;

[0018] A model building unit is set up, and a physical model of the cable is built according to the cable type, cable structure, cable specifications, electrical properties, and mechanical properties in the basic information obtained. A behavioral model of the cable is built according to the historical data, environmental data, and maintenance data in the effective operation information obtained. The constructed physical model and behavioral model are integrated to obtain a digital twin model of the cable.

[0019] Furthermore, the sampling point selection module converts the cable into a sampling area in the digital twin model, and the process of obtaining a plurality of sampling points in the sampling area includes:

[0020] In the digital twin model, the actual length of the cable to be sampled is obtained, the number of divisions is determined according to the actual length of the cable, and the cable is equally divided into several cable segments. The obtained cable segments are numbered, and the obtained cable segments are arranged and combined into a rectangular area composed of different cable segments, which is marked as the sampling area.

[0021] A position is randomly selected in the sampling area as the initial sampling point, the shortest distance between each position and the current sampling point is obtained, and the obtained shortest distance is recorded as d, and the probability value of each position being selected as the next sampling point is obtained, and the obtained probability value is recorded as P;

[0022] Select the position corresponding to the maximum probability value as the next sampling point, repeat this step until n sampling points are selected, obtain the shortest distance between each sampling point and other sampling points, and mark the obtained shortest distances as d 1 d 2 ,……,d n-1 , obtain the total distance between each sampling point and other sampling points, and mark the total distance obtained as d 总 ;

[0023] The sampling point corresponding to the smallest total distance is selected as the sampling reference point, and the other sampling points are used as sampling comparison points.

[0024] Furthermore, the image acquisition module visually inspects the cable appearance at the sampling point to obtain a corresponding sampling image. The process of obtaining sampling data according to the sampling image includes:

[0025] Obtain a general cross section of the cable, wherein the general cross section is a circle, and construct an equilateral triangle with the center of the circle as the center, which can just accommodate the general cross section, and the intersection of the constructed equilateral triangle and the general cross section is the image acquisition point;

[0026] An image acquisition unit is set, and the cable appearance at the image acquisition point and its surrounding area is acquired through the image acquisition unit with the three acquired image acquisition points as the center, and three acquired images are acquired. The three acquired images acquire the cable appearance from three angles respectively, and the three images are spliced ​​to obtain a corresponding sampling image, which is the appearance image of the complete cable;

[0027] Obtaining a sampled image of each sampling point, setting a binary conversion unit, and converting the obtained sampled image from an image form to a binary form through the binary conversion unit, wherein the binary conversion unit only changes the form of the sampled image but does not change its content;

[0028] An encryption unit is provided, and several encryption methods are pre-set in the encryption unit. The obtained sampled images are encrypted by the encryption unit, and encryption methods of different sampled images are randomly assigned. The encryption methods of different sampled images are also different, and one sampled image corresponds to one encryption method;

[0029] The encrypted sampling images are integrated into a complete sampling data, the obtained sampling data is saved, the encryption methods of different sampling images are summarized, and the encryption mark of the sampling data is generated.

[0030] Furthermore, the data transmission module constructs a transmission channel, transmits the obtained sampled data, monitors the transmission process to determine whether there is abnormal transmission, and retransmits the sampled data with abnormal transmission, including:

[0031] A transmission unit is provided, and a plurality of transmission channels are constructed between the sampling end and the analysis end through the transmission unit. After the encryption unit completes the encryption of the sampled image, the obtained sampled data is transmitted through the transmission channel, and different sampled images in one sampled data are assigned to different transmission channels for transmission, and are transmitted from the sampling end to the analysis end. The sampling end is a terminal for collecting images of the cable appearance, and the analysis end is a terminal for analyzing the sampled data;

[0032] A monitoring unit is provided to monitor the data transmission process through the monitoring unit to obtain the transmission speed of each transmission channel that performs data transmission at the same time, and the obtained transmission speed is marked as V c , c represents the number of transmission channels, c = 1, 2, ... m, obtain the fluctuation degree of data transmission, and mark the obtained fluctuation degree as B c ;

[0033] Set the fluctuation threshold B c0 , compare the obtained fluctuation degree with the set fluctuation threshold, when B c ≤B c0 When B c >B c0 When the transmission channel is marked as abnormal transmission;

[0034] A detection unit is provided to obtain the hash values ​​of the sampled data before and after the transmission through the detection unit, and the obtained hash values ​​of the sampled data before and after the transmission are respectively recorded as H 前 and H 后 , compare the two separately, if H 前 =H 后 , then mark the sampled data as complete. If H 前 ≠H后 , then mark the sampled data as damaged;

[0035] Obtaining sampled data transmitted by a transmission channel marked as abnormal transmission, and marking the obtained sampled data as abnormal sampled data, obtaining sampled data marked as damaged, and marking the obtained sampled data as abnormal sampled data;

[0036] The data transmission function of the transmission channel is suspended through the transmission unit, and a new transmission channel is rebuilt, the abnormal sampling data is retransmitted through the new transmission channel, and the retransmission process is monitored through the monitoring unit until the data transmission is completed.

[0037] Furthermore, the sampling point determination module obtains the appearance coefficient of the cable according to the sampling data, determines whether the cable is damaged according to the obtained appearance coefficient to obtain the corresponding damage point, and generates a cutting signal, which includes:

[0038] A decryption unit is provided, and the decryption unit is used to decrypt the obtained encrypted image according to the obtained encrypted image; a binary reversal unit is provided, and the binary reversal unit is used to reversely convert each sampled image after decryption, and convert the sampled image from binary form to image form;

[0039] The obtained sampled images are standardized and adjusted to the same size and color space, the processed sampled images are divided into a training set and a test set, a deep learning model is selected as an initial image detection model, the initial image detection model is trained using the training set, the trained image detection model is obtained by learning features such as scratches, cracks, and wear in the sampled images, the trained image detection model is evaluated using the test set, the trained image detection model is tuned according to the evaluation results to obtain a tuned image detection model, and the most recently tuned image detection model is used as the current image detection model;

[0040] The number of scratches, cracks and abrasions in the sampled image is identified by the image detection model, and corresponding influencing factors are set for the scratches, cracks and abrasions, respectively, based on which the appearance coefficient of the cable is obtained, and the obtained appearance coefficient is marked as W;

[0041] Set the appearance threshold W 0 , compare the obtained appearance coefficient with the set appearance threshold, if W>W 0 , then the sampling point is judged to be damaged and marked as a damaged point. If W≤W 0 , it is determined that the sampling point is not damaged, and no other operations are performed on it. All damaged points of the cable are obtained, and the corresponding cutting signals are generated according to the obtained damaged points.

[0042] Furthermore, the cable cutting module obtains a cutting segment according to the damaged point, and uses a cutting tool to cut the cutting segment to obtain a corresponding cable sample, and the process includes:

[0043] When a cutting signal is generated, the area enclosed by the corresponding lengths before and after the damaged point is marked as its corresponding cutting segment, and a cutting unit is set up. The cutting unit uses a cutting tool to cut the obtained cutting segment to obtain a corresponding cable sample.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] 1. By constructing a digital twin model of the cable, the cable is converted into a corresponding sampling area, and a sufficient number of sampling points are obtained in the sampling area through a regular selection method. The selection method of the present invention can ensure that the distribution of each sampling is the most dispersed, so that the subsequently collected data is more representative and universal;

[0046] 2. By obtaining the sampling images of each sampling point, the sampling images are used to train and evaluate the image detection model. The scratches, cracks, and wear of the sampling images are obtained through the image detection model, and the appearance coefficient of the cable is obtained based on it. It is possible to predict whether the cable is damaged based on its appearance, and then decide whether to sample it based on the judgment result. This can significantly reduce the number of samples for cable sampling and improve the efficiency of cable sampling. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0048] like Figure 1 As shown, a quality inspection system for cable processing includes a main control center, and the main control center is communicatively connected with a data acquisition module, a model building module, a sampling point selection module, an image acquisition module, a data transmission module, a sampling point determination module, and a cable cutting module;

[0049] The data acquisition module is used to collect and store basic information and operation information of the cable;

[0050] The model building module is used to process the collected operation information to obtain corresponding effective operation information, and build a digital twin model of the cable according to the obtained effective operation information;

[0051] The sampling point selection module is used to convert the cable into a sampling area in the digital twin model, and obtain a number of sampling points in the sampling area;

[0052] The image acquisition module is used to visually inspect the cable appearance at the sampling point to obtain a corresponding sampling image, and obtain sampling data according to the sampling image;

[0053] The data transmission module is used to construct a transmission channel, transmit the obtained sampled data, monitor the transmission process to determine whether there is abnormal transmission, and retransmit the sampled data with abnormal transmission;

[0054] The sampling point determination module is used to obtain the appearance coefficient of the cable according to the sampling data, determine whether the cable is damaged according to the obtained appearance coefficient to obtain the corresponding damage point, and generate a cutting signal;

[0055] The cable cutting module is used to obtain a cutting section according to the damaged point, and to cut the cutting section using a cutting tool to obtain a corresponding cable sample.

[0056] It should be further explained that, in the specific implementation process, the process of the data acquisition module collecting and storing the basic information and operation information of the cable includes:

[0057] A collection unit is set up to collect basic information and operation information of the cable through the collection unit, wherein the basic information of the cable includes but is not limited to cable type, cable structure, cable specification, electrical performance, and mechanical performance, and the operation information of the cable includes but is not limited to historical data, environmental data, and maintenance data; a database is set up, and the collected basic information and operation information are reviewed by the main control center, and the basic information and operation information that pass the review are uploaded to the database for storage;

[0058] The cable type refers to the type and purpose of the cable, such as power cable, communication cable, coaxial cable, fiber optic cable, etc. The cable structure refers to the internal structure of the cable, including the material of the conductor (such as copper or aluminum), the form of the conductor (solid or twisted), the insulation material, the shielding layer (such as aluminum foil or braided shielding) and the sheath material. The cable specification refers to the size information of the cable, such as the cross-sectional area of ​​the conductor, the outer diameter of the cable, the insulation thickness, etc. The electrical performance refers to the rated voltage, maximum current carrying capacity, resistance per unit length, conductivity and insulation resistance of the cable, etc. The mechanical properties refer to the tensile strength, bending radius, wear resistance and pressure resistance of the cable, etc. The historical data includes but is not limited to fault records, maintenance records, performance records, etc. The environmental data includes but is not limited to temperature, humidity, gas composition, etc. The maintenance data includes but is not limited to failure mode, time of occurrence, maintenance measures and results, etc.

[0059] It should be further explained that, in the specific implementation process, the model building module processes the collected operation information to obtain corresponding effective operation information, and the process of building the digital twin model of the cable according to the obtained effective operation information includes:

[0060] Setting a data processing unit, and performing multiple data preprocessing on the obtained operation information to obtain corresponding valid operation information through the data processing unit, wherein the data preprocessing includes: outlier processing, missing value processing, and normalization processing;

[0061] The outlier processing is used to clean up abnormal operation information, and the outlier processing adopts the absolute median difference outlier processing method. The missing value processing is used to fill in the missing operation information, and the missing value processing adopts the statistical filling method. The normalization processing is used to unify the format of the operation information, and the normalization processing adopts the Z-Score standardization method;

[0062] A model building unit is set up, and a physical model of the cable is built according to the cable type, cable structure, cable specifications, electrical properties, and mechanical properties in the basic information obtained. A behavioral model of the cable is built according to the historical data, environmental data, and maintenance data in the effective operation information obtained. The constructed physical model and behavioral model are integrated to obtain a digital twin model of the cable.

[0063] It should be further explained that, in the specific implementation process, the sampling point selection module converts the cable into a sampling area in the digital twin model, and the process of obtaining a number of sampling points in the sampling area includes:

[0064] In the digital twin model, the actual length of the cable to be sampled is obtained, the number of divisions is determined according to the actual length of the cable, and the cable is equally divided into several cable segments. The obtained cable segments are numbered, and the obtained cable segments are arranged and combined into a rectangular area composed of different cable segments, which is marked as the sampling area.

[0065] A position is randomly selected in the sampling area as the initial sampling point, the shortest distance between each position and the current sampling point is obtained, and the obtained shortest distance is recorded as d, and the probability value of each position being selected as the next sampling point is obtained, and the obtained probability value is recorded as P;

[0066]

[0067] Select the position corresponding to the maximum probability value as the next sampling point, repeat this step until n sampling points are selected, obtain the shortest distance between each sampling point and other sampling points, and mark the obtained shortest distances as d1 d 2 ,……,d n-1 , obtain the total distance between each sampling point and other sampling points, and mark the total distance obtained as d 总 ;

[0068] d 总 =d 1 +d 2 +……+d n-1 ;

[0069] The sampling point corresponding to the smallest total distance is selected as the sampling reference point, and the other sampling points are used as sampling comparison points.

[0070] It should be further explained that, in the specific implementation process, the image acquisition module visually inspects the cable appearance at the sampling point to obtain a corresponding sampling image, and the process of obtaining sampling data according to the sampling image includes:

[0071] Taking any sampling point as an example, since most cables are cylindrical, it is impossible to completely obtain the appearance image of the cable by image acquisition at a single angle. In an embodiment of the present invention, a multi-angle acquisition method is adopted, and the specific steps are as follows:

[0072] Obtain a general cross section of the cable, wherein the general cross section is a circle, and construct an equilateral triangle with the center of the circle as the center, which can just accommodate the general cross section, and the intersection of the constructed equilateral triangle and the general cross section is the image acquisition point;

[0073] An image acquisition unit is set, and the cable appearance at the image acquisition point and its surrounding area is acquired through the image acquisition unit with the three acquired image acquisition points as the center, and three acquired images are acquired. The three acquired images acquire the cable appearance from three angles respectively, and the three images are spliced ​​to obtain a corresponding sampling image, which is the appearance image of the complete cable;

[0074] Similarly, a sampled image of each sampling point is obtained, and a binary conversion unit is set to convert the obtained sampled image from an image form to a binary form through the binary conversion unit. The binary conversion unit only changes the form of the sampled image but does not change its content.

[0075] An encryption unit is provided, and several encryption methods are pre-set in the encryption unit. The obtained sampled images are encrypted by the encryption unit, and encryption methods of different sampled images are randomly assigned. The encryption methods of different sampled images are also different, and one sampled image corresponds to one encryption method;

[0076] The encrypted sampling images are integrated into a complete sampling data, the obtained sampling data is saved, the encryption methods of different sampling images are summarized, and the encryption mark of the sampling data is generated.

[0077] It should be further explained that, in the specific implementation process, the data transmission module constructs a transmission channel, transmits the obtained sampled data, monitors the transmission process to determine whether there is abnormal transmission, and retransmits the sampled data of abnormal transmission, including:

[0078] A transmission unit is provided, and a plurality of transmission channels are constructed between the sampling end and the analysis end through the transmission unit. After the encryption unit completes the encryption of the sampled image, the obtained sampled data is transmitted through the transmission channel, and different sampled images in one sampled data are assigned to different transmission channels for transmission, and are transmitted from the sampling end to the analysis end. The sampling end is a terminal for collecting images of the cable appearance, and the analysis end is a terminal for analyzing the sampled data;

[0079] A monitoring unit is provided to monitor the data transmission process through the monitoring unit to obtain the transmission speed of each transmission channel that performs data transmission at the same time, and the obtained transmission speed is marked as V c , c represents the number of transmission channels, c = 1, 2, ... m, obtain the fluctuation degree of data transmission, and mark the obtained fluctuation degree as B c ;

[0080]

[0081] Set the fluctuation threshold B c0 , compare the obtained fluctuation degree with the set fluctuation threshold, when B c ≤B c0 When B c >B c0 When the transmission channel is marked as abnormal transmission;

[0082] A detection unit is provided to obtain the hash values ​​of the sampled data before and after the transmission through the detection unit, and the obtained hash values ​​of the sampled data before and after the transmission are respectively recorded as H 前 and H 后 , compare the two separately, if H 前 =H 后 , then mark the sampled data as complete. If H 前 ≠H 后 , then mark the sampled data as damaged;

[0083] Obtaining sampled data transmitted by a transmission channel marked as abnormal transmission, and marking the obtained sampled data as abnormal sampled data, obtaining sampled data marked as damaged, and marking the obtained sampled data as abnormal sampled data;

[0084] The data transmission function of the transmission channel is suspended through the transmission unit, and a new transmission channel is rebuilt, the abnormal sampling data is retransmitted through the new transmission channel, and the retransmission process is monitored through the monitoring unit until the data transmission is completed.

[0085] It should be further explained that, in a specific implementation process, the sampling point determination module obtains the appearance coefficient of the cable according to the sampling data, determines whether the cable is damaged according to the obtained appearance coefficient to obtain the corresponding damage point, and generates a cutting signal, the process includes:

[0086] A decryption unit is provided, and the decryption unit is used to decrypt the obtained encrypted image according to the obtained encrypted image; a binary reversal unit is provided, and the binary reversal unit is used to reversely convert each sampled image after decryption, and convert the sampled image from binary form to image form;

[0087] The obtained sampled images are standardized and adjusted to the same size and color space, the processed sampled images are divided into a training set and a test set, a deep learning model is selected as an initial image detection model, the initial image detection model is trained using the training set, the trained image detection model is obtained by learning features such as scratches, cracks, and wear in the sampled images, the trained image detection model is evaluated using the test set, the trained image detection model is tuned according to the evaluation results to obtain a tuned image detection model, and the most recently tuned image detection model is used as the current image detection model;

[0088] Taking the sampled image of any sampling point as an example, the number of scratches, cracks, and wear in the sampled image is identified by the image detection model and marked as Q a , Q b , Q c , set the corresponding impact factors for scratches, cracks, and wear, denoted by E a 、E b 、E c , based on this, the appearance coefficient of the cable is obtained, and the obtained appearance coefficient is marked as W;

[0089]

[0090] Among them, d 总 is the total distance between this sampling point and other sampling points, d 差is the distance between the sampling point and the sampling reference point, and so on, the appearance coefficient of each sampling point is obtained by the same method;

[0091] Set the appearance threshold W 0 , compare the obtained appearance coefficient with the set appearance threshold, if W>W 0 , then the sampling point is judged to be damaged and marked as a damaged point. If W≤W 0 , it is determined that the sampling point is not damaged, and no other operations are performed on it. All damaged points of the cable are obtained, and the corresponding cutting signals are generated according to the obtained damaged points.

[0092] It should be further explained that, in a specific implementation process, the cable cutting module obtains a cutting segment according to the damaged point, and uses a cutting tool to cut the cutting segment to obtain a corresponding cable sample, and the process includes:

[0093] Taking any damaged point as an example, when a cutting signal is generated, the damaged point is taken as the center, and the area enclosed by the L lengths before and after it is marked as its corresponding cutting segment, wherein L is a preset fixed distance. A cutting unit is set, and the obtained cutting segment is cut by a cutting tool through the cutting unit to obtain a corresponding cable sample. The same method is adopted to obtain cable samples of all damaged points.

[0094] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A quality inspection system for cable processing, comprising a main control center, characterized in that: The main control center is communicatively connected with a data acquisition module, a model building module, a sampling point selection module, an image acquisition module, a data transmission module, a sampling point determination module, and a cable cutting module; The data acquisition module is used to collect and store basic information and operation information of the cable; The model building module is used to process the collected operation information to obtain corresponding effective operation information, and build a digital twin model of the cable according to the obtained effective operation information; The model building module processes the collected operation information to obtain corresponding effective operation information. The process of building a digital twin model of the cable according to the obtained effective operation information includes: Setting a data processing unit, and performing multiple data preprocessing on the obtained operation information to obtain corresponding valid operation information through the data processing unit, wherein the data preprocessing includes: outlier processing, missing value processing, and normalization processing; Setting a model building unit, through which a physical model of the cable is built according to the obtained basic information, a behavioral model of the cable is built according to the obtained effective operation information, and the built physical model and behavioral model are integrated to obtain a digital twin model of the cable; The sampling point selection module is used to convert the cable into a sampling area in the digital twin model, and obtain a number of sampling points in the sampling area; The sampling point selection module converts the cable into a sampling area in the digital twin model, and the process of obtaining a number of sampling points in the sampling area includes: In the digital twin model, the cable to be sampled is divided into several cable segments, the obtained cable segments are arranged and combined into sampling areas, the initial sampling points are obtained, the probability value of each position being selected as the next sampling point is determined, and the position corresponding to the largest probability value is selected as the next sampling point. This step is repeated until several sampling points are selected; The image acquisition module is used to visually inspect the cable appearance at the sampling point to obtain a corresponding sampling image, and obtain sampling data according to the sampling image; The data transmission module is used to construct a transmission channel, transmit the obtained sampled data, monitor the transmission process to determine whether there is abnormal transmission, and retransmit the sampled data of abnormal transmission, including: A transmission unit is provided, a plurality of transmission channels are constructed through the transmission unit, and the obtained sampled data are respectively transmitted through the transmission channels; a monitoring unit is provided, a fluctuation degree of data transmission is obtained through the monitoring unit, a fluctuation threshold is set, the fluctuation degree is compared with the fluctuation threshold, and whether there is abnormal transmission is determined according to the comparison result; A detection unit is provided, through which the hash values ​​of the sampled data before and after transmission are obtained and compared, the sampled data is divided into a complete state and a damaged state according to the comparison result, abnormal sampled data of abnormal transmission or damaged state is obtained, and the abnormal sampled data is retransmitted through the transmission unit; The sampling point determination module is used to obtain the appearance coefficient of the cable according to the sampling data, determine whether the cable is damaged according to the obtained appearance coefficient to obtain the corresponding damage point, and generate a cutting signal, including: A decryption unit is set to decrypt the sampled data according to the obtained encryption identifier, a binary reversal unit is set to convert each sampled image that has completed decryption from a binary form to an image form, a deep learning model is selected as an initial image detection model, and the image detection model is trained and evaluated using the sampled images to obtain a current image detection model; The number of scratches, cracks and abrasions in the sampled image is identified by the image detection model, influencing factors are set for the scratches, cracks and abrasions, an appearance coefficient of the cable is obtained, an appearance threshold is set, the appearance coefficient is compared with the appearance threshold, all damage points of the cable are obtained according to the comparison result, and a cutting signal is generated according to the obtained damage points; The cable cutting module is used to obtain a cutting section according to the damaged point, and to cut the cutting section using a cutting tool to obtain a corresponding cable sample.

2. A cable processing quality inspection system according to claim 1, characterized in that: The process of the data acquisition module collecting and storing the basic information and operation information of the cable includes: A collection unit is provided to collect basic information and operation information of the cable through the collection unit, a database is provided, and the collected basic information and operation information are uploaded to the database for storage.

3. A cable processing quality inspection system according to claim 1, characterized in that: The image acquisition module visually inspects the cable appearance at the sampling point to obtain a corresponding sampling image. The process of obtaining sampling data according to the sampling image includes: Setting an image acquisition point and an image acquisition unit, acquiring an image of the cable appearance at the image acquisition point by the image acquisition unit to obtain an acquired image, and splicing the acquired images to obtain a sampling image; A binary conversion unit is provided to convert the obtained sampled image from image form to binary form, an encryption unit is provided to encrypt the obtained sampled image, the encrypted sampled image is integrated into sampling data, and an encryption mark is generated.

4. A cable processing quality inspection system according to claim 1, characterized in that: The cable cutting module obtains a cutting segment according to the damaged point, and uses a cutting tool to cut the cutting segment to obtain a corresponding cable sample, and the process includes: When a cutting signal is generated, an area enclosed by a corresponding length before and after the damaged point is marked as a cutting section, and a cutting unit is provided, through which the obtained cutting section is cut using a cutting tool to obtain a corresponding cable sample.

Images