A quality detection system for cable processing

Abstract

A kind of quality detection system for cable processing, it is related to quality detection technical field, including main control center, the data acquisition module, model construction module, sampling point selection module, image acquisition module, data transmission module, sampling point determination module, cable cutting module are connected with communication in the main control center;The data acquisition module is used to collect cable information, the model construction module is used to construct digital twin model, the sampling point selection module is used to obtain sampling point, the image acquisition module is used to obtain sampling image and sampling data, the data transmission module is used to transmit sampling data, the sampling point determination module is used to obtain damage point, generate cutting signal, the cable cutting module is used to obtain cutting section, and it is cut to obtain cable sample;The sample quantity of cable sampling can be obviously reduced, and the efficiency of cable sampling is improved.

Description

[0001] The present application is a divisional application of the application with application number 202411218601.X and entitled "Quality detection system for cable processing", filed on September 2, 2024. TECHNICAL FIELD

[0002] The present application relates to the technical field of quality detection, and particularly relates to a quality detection system for cable processing. BACKGROUND

[0003] Quality detection of electric wires and cables is a technology for ensuring the quality of electric wire and cable products. These technologies can automatically detect defects inside and outside the cable and ensure that it meets specific safety and performance standards, and can detect and warn potential quality problems in advance, which can significantly improve the reliability and safety of the product. The premise of quality detection of electric wires and cables is how to sample electric wires and cables.

[0004] In the prior art, sampling of electric wires and cables is mostly based on random sampling method. However, random sampling inevitably leads to unbalanced sampling positions, or too concentrated or too dispersed. Moreover, in the prior art, sampling of electric wires and cables often lacks a prediction mechanism, that is, the appearance of the cable is first judged to determine whether there is damage, and then the damaged position is sampled, which leads to a large number of samples, affecting the efficiency of sampling. In view of the deficiencies in the prior art, the present application provides a quality detection system for cable processing. SUMMARY

[0005] The purpose of the present application is to provide a quality detection system for cable processing.

[0006] The purpose of the present application can be achieved by the following technical solution: a quality detection system for cable processing, comprising a master control center, the master control center being communicatively connected 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.

[0007] The data acquisition module is used for acquiring and storing basic information and running information of the cable.

[0008] The model construction module is used for processing the acquired running information to obtain corresponding effective running information, and constructing a digital twin model of the cable according to the obtained effective running information.

[0009] The sampling point selection module is used for converting the cable into a sampling area in the digital twin model, and obtaining a plurality of sampling points in the sampling area.

[0010] The image acquisition module is configured to visually inspect the appearance of the cable at the sampling point to obtain a corresponding sampling image, and obtain sampling data based on the sampling image.

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

[0012] The sampling point determination module is configured to obtain an appearance coefficient of the cable based on the sampling data, determine whether the cable is damaged based on the obtained appearance coefficient to obtain a corresponding damage point, and generate a cutting signal.

[0013] The cable cutting module is configured to obtain a cutting section based on the damage point, and cut the cutting section using a cutting tool to obtain a corresponding cable sample.

[0014] Further, the data acquisition module includes the following process of collecting and storing the basic information and operating information of the cable:

[0015] A collection unit is provided to collect the basic information and operating information of the cable, including but not limited to cable type, cable structure, cable specification, electrical performance, mechanical performance, and operating information including but not limited to historical data, environmental data, and maintenance data. A database is provided, and the main control center audits the collected basic information and operating information, and uploads the audited basic information and operating information to the database for storage.

[0016] Further, the model construction module processes the collected operating information to obtain corresponding effective operating information, and the process of constructing a digital twin model of the cable based on the obtained effective operating information includes:

[0017] A data processing unit is provided to perform a plurality of data preprocessing on the obtained operating information to obtain corresponding effective operating information, including outlier processing, missing value processing, and normalization processing.

[0018] A model construction unit is provided to construct a physical model of the cable based on the cable type, cable structure, cable specification, electrical performance, and mechanical performance in the obtained basic information, and construct a behavior model of the cable based on the historical data, environmental data, and maintenance data in the obtained effective operating information. The physical model and the behavior model are integrated to obtain a digital twin model of the cable.

[0019] Further, the sampling point selection module converts the cable into a sampling area in the digital twin model, and obtains a plurality of sampling points in the sampling area, including:

[0020] In the digital twin model, the actual length of the cable that needs to be sampled is obtained, the number of divisions thereof is determined according to the actual length of the cable, and the actual length of the cable is equally divided into a plurality of cable segments, the obtained cable segments are numbered, the obtained cable segments are arranged and combined into a rectangular region composed of different cable segments, and the rectangular region is marked as a sampling region;

[0021] An initial sampling point is randomly selected in the sampling region, the shortest distance between each position and the existing sampling point is obtained, and the obtained shortest distance is denoted as d, the probability value of each position being selected as the next sampling point is obtained, and the obtained probability value is denoted as P;

[0022] The position corresponding to the maximum probability value is selected as the next sampling point, and this step is repeated until n sampling points are selected, the shortest distance between each sampling point and other sampling points is obtained, and the obtained shortest distances are denoted as d1, d2, …, dn-1 respectively, the total distance between each sampling point and other sampling points is obtained, and the obtained total distance is denoted as dn. n-1 总 ;

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

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

[0025] A general cross section of the cable is obtained, the general cross section is circular, and an equilateral triangle that can just accommodate the general cross section is constructed with the center of the circle as the center, and the intersection point of the constructed equilateral triangle and the general cross section is the image acquisition point;

[0026] An image acquisition unit is set, and three image acquisition points are obtained as the center of the image acquisition unit, the cable appearance of the image acquisition point and the surrounding area thereof is acquired by the image acquisition unit, and three acquisition images are obtained, the three acquisition images are acquired from three angles, and the three acquisition images are spliced to obtain a corresponding sampling image, and the sampling image is the appearance image of the complete cable;

[0027] The sampling image of each sampling point is obtained, a binary conversion unit is set, and the obtained sampling image is converted from an image form to a binary form by the binary conversion unit, and the binary conversion unit only changes the form of the sampling image, but not the content thereof;

[0028] ​The encryption unit is set up inside the encryption unit, and a plurality of encryption methods are set up in advance. The obtained sampling image is encrypted by the encryption unit. The encryption methods of different sampling images are randomly allocated and are not the same. One sampling image corresponds to one encryption method.

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

[0030] Further, the data transmission module constructs a transmission channel, transmits the obtained sampling data, monitors the transmission process to determine whether there is abnormal transmission, and includes the following steps in the retransmission process of the abnormal transmission sampling data:

[0031] A transmission unit is set up. The transmission unit constructs a plurality of transmission channels between the sampling end and the analysis end. When the encryption unit completes the encryption of the sampling image, the obtained sampling data is transmitted through the transmission channel. Different sampling images in a sampling data are allocated to different transmission channels for transmission, and are transmitted from the sampling end to the analysis end. The sampling end is the terminal for image collection of the cable appearance, and the analysis end is the terminal for analysis of the sampling data.

[0032] A monitoring unit is set up. The monitoring unit monitors the data transmission process to obtain the transmission speed of each transmission channel for data transmission at the same time. The obtained transmission speed is marked as V c , c represents the number of transmission channels, c = 1, 2, … m, the fluctuation degree of data transmission is obtained, and the obtained fluctuation degree is marked as B c .

[0033] The fluctuation threshold B c0 is set. The obtained fluctuation degree is compared with the set fluctuation threshold. When B c ≤ B c0 , the transmission channel is marked as normal transmission. When B c > B c0 , the transmission channel is marked as abnormal transmission.

[0034] A detection unit is set up. The detection unit obtains the hash values of the sampling data before and after transmission, and marks the obtained hash values of the sampling data before and after transmission as H 前 and H 后 , respectively. The two are compared. If H 前 = H 后 , the sampling data is marked as complete. If H 前 ≠ H后 If so, the sample data is marked as damaged state;

[0035] Obtain the sample data transmitted by the transmission channel marked as abnormal transmission, and mark the obtained sample data as abnormal sample data, obtain the sample data marked as damaged state, and mark the obtained sample data as abnormal sample data;

[0036] Suspend the data transmission function of the transmission channel by the transmission unit, and reconstruct a new transmission channel, retransmit the abnormal sample data through the new transmission channel, and monitor the retransmission process by the monitoring unit until the data transmission is completed.

[0037] Further, the sampling point determination module obtains the appearance coefficient of the cable according to the sample data, judges whether the cable is damaged according to the obtained appearance coefficient to obtain the corresponding damage point, and the process of generating the cutting signal includes:

[0038] Set a decryption unit, decrypt the obtained encrypted identifier through the decryption unit, set a binary inversion unit, and invert the converted sample image from binary form to image form through the binary inversion unit;

[0039] Standardize the obtained sample image to the same size and color space, divide the processed sample image into training set and test set, select a deep learning model as the initial image detection model, train the initial image detection model using the training set, learn the features such as scratches, cracks and wear in the sample image to obtain the trained image detection model, evaluate the trained image detection model using the test set, optimize the trained image detection model according to the evaluation result to obtain the optimized image detection model, and use the most recently optimized image detection model as the current image detection model;

[0040] Identify the number of scratches, cracks and wear in the sample image through the image detection model, set corresponding influence factors for scratches, cracks and wear respectively, obtain the appearance coefficient of the cable based on this, and mark the obtained appearance coefficient as W;

[0041] Set an appearance threshold W0, compare the obtained appearance coefficient with the set appearance threshold, if W> W0, judge that the sampling point is damaged, and mark it as a damage point, if W≤ W0, judge that the sampling point is not damaged, and do not perform any other operation on it, obtain all the damage points of the cable, and generate the corresponding cutting signal according to the obtained damage points.

[0042] Further, the cable cutting module obtains a cutting section according to the damage point, and the process of cutting the cutting section by using a cutting tool to obtain a corresponding cable sample includes:

[0043] When the cutting signal is generated, the area surrounded by the corresponding lengths before and after the damage point is marked as the corresponding cutting section, and a cutting unit is set, and the cutting unit is used to cut the obtained cutting section by using a cutting tool to obtain a corresponding cable sample.

[0044] Compared with the prior art, the beneficial effects of the present application are:

[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 by a regular selection method. The selection method of the present application can ensure that the distribution of each sample is most dispersed, so that the data collected subsequently 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 an image detection model, and the scratches, cracks and wear of the sampling images are obtained by the image detection model, and the appearance coefficient of the cable is obtained based thereon. Whether the cable is damaged can be predicted based on the appearance of the cable, and whether the cable is sampled can be determined based on the judgment result. The number of cable samples can be significantly reduced, and the efficiency of cable sampling can be improved. BRIEF DESCRIPTION OF DRAWINGS

[0047] Figure 1 The schematic diagram of the present application. DETAILED DESCRIPTION

[0048] As shown in Figure 1 A quality detection system for cable processing includes a master control center, the master control center is in communication 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.

[0049] The data acquisition module is used to acquire and store the basic information and operating information of the cable.

[0050] The model construction module is used to process the acquired operating information to obtain corresponding effective operating information, and to construct a digital twin model of the cable according to the obtained effective operating information.

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

[0052] The image acquisition module is configured to visually inspect the appearance of the cable at the sampling point to obtain a corresponding sampling image, and obtain sampling data based on the sampling image.

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

[0054] The sampling point determination module is configured to obtain an appearance coefficient of the cable based on the sampling data, determine whether the cable is damaged based on the obtained appearance coefficient to obtain a corresponding damage point, and generate a cutting signal.

[0055] The cable cutting module is configured to obtain a cutting section based on the damage point, and cut the cutting section using a cutting tool to obtain a corresponding cable sample.

[0056] It should be further noted that, in the specific implementation process, the data acquisition module includes the following steps of:

[0057] An acquisition unit is provided to acquire the basic information and operating information of the cable, the basic information of the cable including but not limited to cable type, cable structure, cable specification, electrical performance, and mechanical performance, the operating information of the cable including but not limited to historical data, environmental data, and maintenance data, a database is provided, and the collected basic information and operating information are audited by the main control center and 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, and optical fiber cable, 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 stranded), the insulating 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, and the insulation thickness, the electrical performance refers to the rated voltage, the maximum current carrying capacity, the resistance per unit length, the conductivity, and the insulation resistance of the cable, the mechanical performance refers to the tensile strength, the bending radius, the wear resistance, and the pressure resistance of the cable, the historical data includes but is not limited to fault records, maintenance records, and performance records, the environmental data includes but is not limited to temperature, humidity, and gas composition, and the maintenance data includes but is not limited to fault mode, time of occurrence, maintenance measures, and results.

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

[0060] A data processing unit is arranged, and the data processing unit is used to perform a plurality of data preprocessing on the obtained operation information to obtain corresponding effective operation information, and the data preprocessing includes: outlier processing, missing value processing, and normalization processing;

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

[0062] A model construction unit is arranged, and the model construction unit is used to construct a physical model of the cable according to the cable type, the cable structure, the cable specification, the electrical performance, and the mechanical performance in the obtained basic information, to construct a behavior model of the cable according to the historical data, the environmental data, and the maintenance data in the obtained effective operation information, and to integrate the constructed physical model and the behavior model to obtain the digital twin model of the cable.

[0063] It needs to 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 plurality of sampling points in the sampling area includes:

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

[0065] A position is randomly selected as an initial sampling point in the sampling area, the shortest distance between each position and the existing sampling point is obtained, and the obtained shortest distance is recorded as d, 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] The position corresponding to the maximum probability value is selected as the next sampling point, and this step is repeated until n sampling points are selected, the shortest distance between each sampling point and other sampling points is obtained, and the obtained shortest distances are respectively marked as d1, d2, …, dn.n-1 obtain the total distance between each sampling point and other sampling points, and mark the obtained total distance as d 总 ;

[0068] d 总 = d1+d2+…+d n-1 ;

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

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

[0071] Taking any sampling point as an example, since the cable is mostly in a cylindrical form, single-angle image acquisition cannot completely obtain the appearance image of the cable, and in the embodiment of the present application, a multi-angle acquisition method is adopted, and the specific steps are as follows:

[0072] A general cross section of the cable is obtained, the general cross section is circular, and an equilateral triangle that can just accommodate the general cross section is constructed with the center of the circle as the center, and the intersection point of the constructed equilateral triangle and the general cross section is the image acquisition point;

[0073] An image acquisition unit is arranged, and the cable appearance of the image acquisition point and its surrounding area is acquired by the image acquisition unit with the obtained three image acquisition points as the center, and three acquisition images are obtained, the three acquisition images are acquired from three angles, and the three acquisition images are spliced to obtain the corresponding sampling image, and the sampling image is the complete appearance image of the cable;

[0074] By analogy, the sampling images of each sampling point are obtained, a binary conversion unit is arranged, and the obtained sampling images are converted from image form to binary form by the binary conversion unit, and the binary conversion unit only changes the form of the sampling image, but not the content thereof;

[0075] An encryption unit is arranged, and a plurality of encryption methods are pre-set in the encryption unit, the obtained sampling images are encrypted by the encryption unit, the encryption methods for different sampling images are randomly allocated, and the encryption methods for different sampling images are also different, and one sampling 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 for different sampling images are summarized, and an encryption identifier of the sampling data is generated.

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

[0078] setting a transmission unit, constructing a plurality of transmission channels between the sampling end and the analysis end through the transmission unit, when the encryption unit completes the encryption of the sampling image, transmitting the obtained sampling data through the transmission channel, distributing different sampling images in a sampling data to different transmission channels for transmission, and transmitting them from the sampling end to the analysis end, the sampling end is the terminal for image collection of the cable appearance, and the analysis end is the terminal for analysis of the sampling data;

[0079] setting a monitoring unit, monitoring the data transmission process through the monitoring unit, obtaining the transmission speed of each transmission channel respectively performing data transmission at the same time, marking the obtained transmission speed as V c , c represents the number of transmission channels, c=1, 2, ……m, obtaining the fluctuation degree of data transmission, and marking the obtained fluctuation degree as B c ;

[0080]

[0081] setting a fluctuation threshold B c0 , comparing the obtained fluctuation degree with the set fluctuation threshold, when B c ≤B c0 , marking the transmission channel as normal transmission, when B c >B c0 , marking the transmission channel as abnormal transmission;

[0082] setting a detection unit, obtaining the hash values of the sampling data before and after transmission through the detection unit, and marking the obtained hash values of the sampling data before and after transmission as H 前 and H 后 , respectively, comparing them, if H 前 =H 后 , marking the sampling data as complete state, if H 前 ≠H 后 , marking the sampling data as damaged state;

[0083] obtaining the sampling data transmitted by the transmission channel marked as abnormal transmission, and marking the obtained sampling data as abnormal sampling data, obtaining the sampling data marked as damaged state, and marking the obtained sampling data as abnormal sampling data;

[0084] The transmission unit suspends the data transmission function of the transmission channel, and reconstructs a new transmission channel, retransmits the abnormal sampling data through the new transmission channel, and monitors the retransmission process through the monitoring unit until the data transmission is completed.

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

[0086] The decryption unit is set up, and the obtained encrypted identifier is decrypted through the decryption unit. The binary inversion unit is set up, and each sampling image after decryption is converted from binary form to image form through the binary inversion unit;

[0087] The obtained sampling image is standardized to adjust it to the same size and color space. The processed sampling image is divided into a training set and a test set. The deep learning model is selected as the initial image detection model. The training set is used to train the initial image detection model. The scratch, crack, and wear features in the sampling image are learned to obtain the trained image detection model. The test set is used to evaluate the trained image detection model. The trained image detection model is optimized according to the evaluation result to obtain the optimized image detection model. The most recently optimized image detection model is used as the current image detection model;

[0088] Taking the sampling image of any sampling point as an example, the number of scratches, cracks, and wear in the sampling image is identified through the image detection model, and is marked as Q a , Q b , and Q c , respectively. The influence factors of scratches, cracks, and wear are set respectively, denoted as E a , E b , and E c . The appearance coefficient of the cable is obtained based on this, and the obtained appearance coefficient is marked as W.

[0089]

[0090] Wherein, d 总 is the total distance between the sampling point and other sampling points, d 差 is the distance between the sampling point and the sampling reference point, and so on. The same method is used to obtain the appearance coefficient of each sampling point.

[0091] The appearance threshold W0 is set, the obtained appearance coefficient is compared with the set appearance threshold, if W>W0, it is judged that the sampling point exists damage, and is marked as a damaged point, if W≤W0, it is judged that the sampling point does not exist damage, and no other operation is performed on it, all damaged points of the cable are obtained, and the corresponding cutting signal of the damaged points is generated.

[0092] It needs to be further explained that, in the specific implementation process, the process that the cable cutting module obtains the cutting section according to the damaged point and cuts the cutting section by using the cutting tool to obtain the corresponding cable sample includes:

[0093] Taking any damaged point as an example, when the cutting signal is generated, the area surrounded by the front and back L length of the damaged point is marked as the corresponding cutting section, wherein L is a preset fixed distance, the cutting unit is set, the obtained cutting section is cut by using the cutting tool through the cutting unit to obtain the corresponding cable sample, and the cable sample of all damaged points is obtained by using the same method.

[0094] The above embodiments are only used to illustrate the technical method of the present application and are not limited. Although the present application is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical method of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical method of the present application.

Claims

1. A quality detection system for cable processing, comprising a master control center, characterized in that, The master control center is connected 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 collecting and storing basic information and operation information of the cable; The model construction module is used for processing the collected operation information to obtain corresponding effective operation information, and constructing a digital twin model of the cable according to the obtained effective operation information; The model construction module processes the collected operation information to obtain corresponding effective operation information, and the process of constructing a digital twin model of the cable according to the obtained effective operation information includes: A data processing unit is set, and the obtained operation information is subjected to multiple data preprocessing through the data processing unit to obtain corresponding effective operation information, and the data preprocessing includes: outlier processing, missing value processing, and normalization processing; A model construction unit is set, and a physical model of the cable is constructed according to the obtained basic information through the model construction unit, and a behavior model of the cable is constructed according to the obtained effective operation information, and the constructed physical model and behavior model are integrated to obtain a digital twin model of the cable; The sampling point selection module is used for converting the cable into a sampling area in the digital twin model, and obtaining a plurality 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 plurality of sampling points in the sampling area includes: In the digital twin model, the cable to be sampled is equally divided into a plurality of cable segments, the obtained cable segments are arranged and combined into a sampling area, an initial sampling point is obtained, the probability value of each position being selected as the next sampling point is judged, the position corresponding to the maximum probability value is selected as the next sampling point, and the step is repeated until a plurality of sampling points are selected; The image acquisition module is used for visually checking the appearance of the cable at the sampling point to obtain corresponding sampling images, and obtaining sampling data according to the sampling images; The data transmission module is used for constructing a transmission channel, transmitting the obtained sampling data, monitoring the transmission process to determine whether there is abnormal transmission, and retransmitting abnormal sampling data, including: A transmission unit is set, a plurality of transmission channels are constructed through the transmission unit, the obtained sampling data is transmitted through the transmission channels respectively, a monitoring unit is set, the 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 set, the hash values of the sampling data before and after transmission are obtained and compared through the detection unit, the sampling data is divided into complete state and damaged state according to the comparison result, abnormal sampling data in abnormal transmission or damaged state is obtained, and the abnormal sampling data is retransmitted through the transmission unit; The sampling point determination module is used for obtaining the appearance coefficient of the cable according to the sampling data, judging whether the cable is damaged according to the obtained appearance coefficient to obtain corresponding damaged points, and generating a cutting signal, including: The decryption unit is arranged to decrypt the sampling data according to the obtained encryption identifier, the binary inversion unit is arranged to convert each sampling image after decryption from binary form to image form, the deep learning model is selected as an initial image detection model, and the image detection model is trained and evaluated using the sampling image to obtain a current image detection model; The image detection model is used to identify the number of scratches, cracks and abrasions in the sampling image, an influence factor is 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 damage points, and a cutting tool is used to cut the cutting section to obtain a corresponding cable sample.

2. The mass detection system for cable processing according to claim 1, wherein The data acquisition module includes the following steps: The acquisition unit is arranged to acquire the basic information and operation information of the cable, and the database is arranged to upload the acquired basic information and operation information to the database for storage.

3. The mass detection system for cable processing according to claim 1, wherein The image acquisition module visually inspects the cable appearance of the sampling point to obtain a corresponding sampling image, and the process of obtaining sampling data according to the sampling image includes: The image acquisition point and the image acquisition unit are arranged, the image acquisition unit is used to acquire the image of the cable appearance of the image acquisition point to obtain an acquisition image, and the acquisition image is spliced to obtain a sampling image; The binary conversion unit is arranged to convert the obtained sampling image from image form to binary form, the encryption unit is arranged to encrypt the obtained sampling image, the sampling image after encryption is integrated into sampling data, and an encryption identifier is generated.

4. The quality inspection system for cable processing according to claim 1, wherein The cable cutting module includes the following steps: When the cutting signal is generated, the area surrounded by the corresponding length before and after the damage point is marked as a cutting section, the cutting unit is arranged, and the cutting tool is used to cut the obtained cutting section to obtain a corresponding cable sample.

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