Tension detection system and method for power cable

Abstract

The invention relates to a tension detection system for a power cable and a method thereof. The system comprises user equipment and a plurality of stretching devices, wherein each stretching device comprises a stretching device, a sensor device, a controller and a communication device; the controller is configured to obtain a detection request for a to-be-detected cable, control the stretching device to carry out tension detection on the to-be-detected cable according to the detection request, and obtain corresponding detection data through the sensor device; obtaining a score assignment strategy matched with the detection request from a score assignment information base; and scoring the tension detection of the to-be-detected cable according to the score assignment strategy and the detection data, establishing communication connection with the user equipment through the communication equipment when a score value is lower than a preset threshold value, and sending a score result to the user equipment. Multiple batches of cables or the same batch of cables can be detected at the same time, and the requirement for large-scale detection is met.

Description

Technical Field

[0001] This application relates to the technical field of tensile testing, and particularly to a tensile testing system and method for power cables. Background Art

[0002] With the continuous expansion of power transmission applications, power cables, as key transmission media, directly affect the stability and safety of the system in terms of their quality and performance. To ensure that power cable products can meet specific technical requirements in actual applications, it is particularly important to conduct various performance tests on power cables. Among them, the tensile test of power cables is one of the important means to evaluate the mechanical strength and elastic recovery ability of power cables.

[0003] Existing power cable tensile testing devices can provide basic tensile testing functions, but usually require manual on-site operation and recording. Each tensile device is independently tested and data processed, which is not suitable for the management and monitoring of multiple devices simultaneously, resulting in low detection efficiency and difficulty in meeting large-scale detection requirements.

[0004] Therefore, there is an urgent need for a tensile testing system and method for power cables to solve the above technical problems. Summary of the Invention

[0005] This application provides a tensile testing system and method for power cables to meet the large-scale tensile testing requirements of power cables.

[0006] To achieve the above object, this application is implemented through the following technical solutions:

[0007] In a first aspect, this application provides a tensile testing system for power cables. The system includes a user device and a plurality of tensile devices. Each tensile device includes a stretching device, a sensor device, a controller, and a communication device. For any one of the tensile devices, the controller is electrically connected to the stretching device, the sensor device, and the communication device respectively. The controller is configured to:

[0008] Obtain a detection request for the cable to be tested, control the stretching device to perform tensile testing on the cable to be tested according to the detection request, and obtain corresponding detection data through the sensor device;

[0009] Obtain a scoring strategy matching the detection request from the scoring information database; score the tensile testing of the cable to be tested according to the scoring strategy and the detection data, and when the score value is lower than a preset threshold, establish a communication connection with the user device through the communication device and send the scoring result to the user device.

[0010] In one embodiment, the detection request includes a basic label and an auxiliary label of the cable to be tested; obtaining a scoring strategy matching the detection request includes:

[0011] Obtaining a first scoring strategy set according to the basic label; screening out a second scoring strategy set that conforms to the auxiliary label from the first scoring strategy set; the first scoring strategy set includes multiple assessment indicators for scoring the cable to be tested;

[0012] Obtaining a scoring strategy according to the second scoring strategy set and the characteristic parameters of the detection data;

[0013] Wherein, the basic label includes the cable type and cable specification, the auxiliary label includes the usage environment, device type and detection purpose, the characteristic parameters of the detection data include the statistical characteristics of the tensile value and elongation, and the statistical characteristics include at least one of the average value, median and standard deviation.

[0014] In one embodiment, obtaining a scoring strategy according to the second scoring strategy set and the characteristic parameters of the detection data includes:

[0015] According to the basic label, obtaining the grade data corresponding to each assessment indicator in the second scoring strategy set and using it as a grade data set;

[0016] Obtaining the calculation weight of each assessment indicator in the scoring calculation according to the grade data set and using it as a weight data set;

[0017] Obtaining a scoring strategy according to the weight data set and the characteristic parameters of the detection data.

[0018] In one embodiment, obtaining the calculation weight of each assessment indicator in the scoring calculation according to the grade data set includes:

[0019] Obtaining the sum of the grade data in the grade data set;

[0020] For each assessment indicator, taking the quotient of its corresponding grade data and the sum of the grade data as its calculation weight in the scoring calculation.

[0021] In one embodiment, the system further includes a cloud server, and each of the stretching devices is used to detect the cable to be tested of the same detection request; the user device is configured to:

[0022] Receiving the scoring result of any stretching device, performing statistics and incrementing the statistics count by one, and detecting whether the statistics count is greater than a preset statistics count;

[0023] When the number of statistics is greater than the preset number of statistics, clear the number of statistics and send the scoring results corresponding to each number of statistics to the cloud server; the scoring results include the scoring value, detection data, and detection request data corresponding to the cable to be tested.

[0024] Obtain the initial scoring information from the cloud server and send it to each stretching device to update the scoring information library of each stretching device.

[0025] In a second aspect, the present application provides a method for detecting the tensile force of a power cable, which is applied to the tensile force detection system according to any one of the first aspects of the claims. The system includes a user device and a plurality of stretching devices, and each stretching device respectively includes a stretching device, a sensor device, a controller, and a communication device; for any one stretching device, the controller is electrically connected to the stretching device, the sensor device, and the communication device respectively. The method includes:

[0026] Use the controller to obtain a detection request for the cable to be tested, control the stretching device to perform tensile force detection on the cable to be tested according to the detection request, and obtain corresponding detection data through the sensor device.

[0027] Use the controller to obtain a scoring strategy matching the detection request from the scoring information library; score the tensile force detection of the cable to be tested according to the scoring strategy and the detection data, and establish a communication connection with the user device through the communication device when the scoring value is lower than the preset threshold, and send the scoring result to the user device.

[0028] In a third aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by at least one processor, it realizes the functions of the system according to any one of the first aspects, or realizes the steps of the method according to any one of the second aspects.

[0029] In a fourth aspect, the present application provides a computer program product, which includes a computer program. When the computer program is executed by at least one processor, it realizes the functions of the system according to any one of the first aspects, or realizes the steps of the method according to any one of the second aspects.

[0030] The present application provides a tensile force detection system and method for power cables. By using a scoring strategy to quantitatively score the tensile force detection of the cable to be tested, it can more objectively and accurately evaluate the quality status of the cable. That is, compared with traditional qualitative judgments or simple threshold judgments, the scoring results are more valuable as a reference, which helps to more accurately screen qualified and unqualified cable products. When the detection result score is lower than the preset threshold, the result can be quickly fed back to the user device through the communication device, enabling the user to promptly know the problems existing in the cable and facilitating timely adoption of corresponding treatment measures, such as reworking, scrapping, or further quality analysis of unqualified cables, etc., ensuring the safe and stable operation of the power system. The system includes multiple stretching devices, which can simultaneously detect multiple batches or the same batch of cables, meeting the requirements of large-scale detection and improving the overall work efficiency. Communication with the user device is only carried out when the detection result is abnormal, saving communication resources and energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present application will be further described below in conjunction with the drawings and embodiments.

[0032] Figure 1 FIG. shows a schematic structural diagram of a tensile force detection system for power cables provided by the present application;

[0033] Figure 2 FIG. shows a schematic flow diagram of a tensile force detection method for power cables provided by the present application;

[0034] Figure 3 FIG. shows a schematic flow diagram of a process for obtaining a scoring strategy provided by the present application;

[0035] Figure 4 FIG. shows a partial schematic flow diagram of a tensile force detection method for power cables provided by the present application;

[0036] Figure 5 FIG. shows a schematic flow diagram of another tensile force detection method for power cables provided by the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] To facilitate the understanding of the present invention, the present invention will be described more comprehensively below with reference to the relevant drawings. Preferred embodiments of the present invention are shown in the drawings. However, the present invention can be implemented in many other different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure content of the present invention more thorough and comprehensive.

[0038] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this invention belongs. The terms used in the description of the present invention herein are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" as used herein includes any and all combinations of one or more of the related listed items.

[0039] The following briefly explains the technical field and related terms of the embodiments of this application.

[0040] Cable tensile testing refers to a test method for detecting and evaluating the mechanical properties of a cable under a stressed state. Specifically, a certain tensile force is applied to the cable through a tensile device to simulate the tensile situation that the cable may encounter during actual use, thereby measuring various mechanical parameters of the cable during the tensile process, such as tensile strength, elongation at break, elastic modulus, etc. Taking a cable tensile testing device and method disclosed in application number CN202411828459.0 as an example, the device includes a tensile mechanism, a detection mechanism, etc. The cable is stretched by the tensile mechanism, and the real-time tensile force value and real-time elongation amount of the cable during stretching are obtained through the detection mechanism, and a cable tensile fracture analysis result is generated based on these data.

[0041] The Internet of Things refers to a network that deploys terminal devices with sensing, computing, execution, and communication capabilities to obtain information about the physical world, and according to the agreed protocols, uses information dissemination media for data transmission, collaboration, and processing to achieve wide-area information exchange between people and things, and between things and things, thereby achieving intelligent functions. In the tensile force detection system involved in this application, by connecting the tensile device (sensor device, communication device, etc.), user equipment, and cloud server, an Internet of Things system is formed, realizing intelligent management of the tensile force detection of power cables.

[0042] Although various improvements have been made in the related art for the inaccurate cable testing in traditional tensile testing. For example, a power cable tensile force detection device disclosed in application number CN202411195067.5 can realize the lateral tensile testing of the cable through a linkage device, and the different positions of multiple linkage devices on the rotating device cause different positions of the cable to be subjected to lateral tensile forces, and the spring telescopic rod makes it difficult for the hook ring to slip when pulling the cable. However, it still requires manual on-site operation and recording, and the problem of low detection efficiency caused by the inability to manage and monitor multiple devices simultaneously has not been solved.

[0043] Considering the detection efficiency and management convenience, the related technology focuses on the algorithm improvement of the data collected by a single device, but fails to fully consider the problems of multi-device collaborative work and data management, resulting in low detection efficiency and inability to meet the needs of large-scale detection. The tensile detection system and method for power cables proposed in this application can use the Internet of Things technology to quantitatively score the tensile detection of the cable to be tested through a scoring strategy, and can more objectively and accurately evaluate the quality status of the cable. Compared with the traditional qualitative judgment or simple threshold judgment, the scoring result is more valuable for reference. The system includes multiple stretching devices, which can detect multiple batches or the same batch of cables simultaneously, meet the needs of large-scale detection, and improve the overall work efficiency. Communication with the user device is only carried out when the detection result is abnormal, saving communication resources and energy consumption.

[0044] Next, in combination with the accompanying drawings and specific embodiments, the technical solutions of the embodiments of the present application and how the technical solutions of the embodiments of the present application solve the above technical problems will be described in detail. It should be noted that any combination of the following-described embodiments or technical features can form a new embodiment, and the same or similar concepts or processes may not be repeated in some embodiments. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments.

[0045] Embodiment 1

[0046] See Figure 1 , Figure 1 which shows a schematic structural diagram of a tensile detection system for power cables provided by the present application.

[0047] The system includes a user device and multiple stretching devices. Each stretching device respectively includes a stretching device, a sensor device, a controller, and a communication device; for any stretching device, the controller is electrically connected to the stretching device, the sensor device, and the communication device respectively.

[0048] The stretching device is used to apply a tensile force to the cable to be tested, and may include a motor, a reducer, a transmission structure, and a fixture. The motor is connected to the reducer through a coupling or a belt. The reducer converts the high-speed and low-torque of the motor into low-speed and high-torque, drives the transmission structure (such as a belt, a chain, a gear, etc.) to move, and the transmission structure transmits the torque of the reducer to the fixture, so that the fixture can stretch the cable to be tested. The stretching speed is, for example, the chuck moving speed is 250±50mm / min; the fixture clamps the cable to be tested through a mechanical structure or a pneumatic or hydraulic device to ensure that the cable to be tested does not slide or fall off during the stretching process.

[0049] The sensor device may include a force sensor and a displacement sensor. The force sensor is installed on a fixture or a transmission structure to directly measure the tensile force applied to the cable (i.e., the power cable) and send the data to the controller. The displacement sensor is installed on the fixture or the transmission structure to measure the elongation of the cable and send the data to the controller.

[0050] The controller is connected to the motor through a drive circuit to control the operation of the motor. It is connected to the force sensor and the displacement sensor through a data acquisition module to collect and process the data of the sensors. It is connected to the user device through a communication module to selectively send the collected data and the status information of the controller to the user device and receive new scoring information from the user device.

[0051] The controller is configured to:

[0052] Obtain a detection request for the cable to be tested, control the stretching device to perform a tensile force detection on the cable to be tested according to the detection request, and obtain corresponding detection data through the sensor device;

[0053] Obtain a scoring strategy matching the detection request from the scoring information library; score the tensile force detection of the cable to be tested according to the scoring strategy and the detection data. When the score value is lower than a preset threshold, establish a communication connection with the user device through a communication device and send the scoring result to the user device.

[0054] It can be considered that the power cable tensile force detection system consists of a user device and multiple stretching devices. Each stretching device integrates a stretching device, a sensor device, a controller, and a communication device inside, and there are electrical connections between the controller and the stretching device, the sensor device, and the communication device to achieve signal transmission and coordinated work between components. When a tensile force detection of the power cable is required, the detection request will be received by the corresponding stretching device. After obtaining the detection request, the controller in the stretching device starts to control and coordinate the subsequent detection process.

[0055] The controller sends an instruction to the stretching device according to the detection request to control the stretching device to perform a tensile force detection on the cable to be tested. During the tensile force detection process, the sensor device continuously senses sensing data such as the tensile force applied to the cable and transmits the detection data (sensing data) to the controller. At the same time, the controller will obtain a scoring strategy matching the detection request. The scoring strategy is understood as pre-set data used for quantitative evaluation of the detection data. The controller scores the tensile force detection result of the cable to be tested based on the obtained scoring strategy and the detection data transmitted from the sensor device.

[0056] In the related art, more often, the sensing data is displayed on the display screen of the stretching device, and the on-site operators record it. In this technical solution, the scoring result will be judged. If the scoring result shows that it is lower than the preset threshold, it indicates that the tensile test of the cable to be tested does not meet the qualified standard. At this time, the controller will establish a communication connection with the user device through the communication device and send the scoring result to the user device in a timely manner, so that the user can understand the quality status of the cable in a timely manner and then take corresponding measures. The communication method is, for example, 4G communication,

[0057] Thus, in this embodiment, the tensile test of the cable to be tested is quantitatively scored through the scoring strategy, and the quality status of the cable can be evaluated more objectively and accurately. That is, compared with the traditional qualitative judgment or simple threshold judgment, the scoring result has more reference value and helps to more accurately screen out qualified and unqualified cable products. When the test result score is lower than the preset threshold, the result can be quickly fed back to the user device through the communication device, so that the user can know the problems existing in the cable in a timely manner and facilitate taking corresponding treatment measures, such as reworking, scrapping or further quality analysis of the unqualified cable, etc., ensuring the safe and stable operation of the power system. The system includes multiple stretching devices, which can simultaneously test multiple batches or the same batch of cables, meet the needs of large-scale testing, and improve the overall work efficiency. Communication with the user device is only carried out when the test result is abnormal, saving communication resources and energy consumption.

[0058] In some embodiments, the detection request includes the basic label and the auxiliary label of the cable to be tested; obtaining the scoring strategy matching the detection request includes:

[0059] Obtaining a first scoring strategy set according to the basic label; screening out a second scoring strategy set that meets the auxiliary label from the first scoring strategy set;

[0060] Obtaining a scoring strategy according to the second scoring strategy set and the characteristic parameters of the detection data;

[0061] Among them, the basic label includes the cable type and the cable specification, the auxiliary label includes the use environment, the device type and the detection purpose, the characteristic parameters of the detection data include the statistical characteristics of the tensile value and the elongation, and the statistical characteristics include at least one of the average value, the median and the standard deviation.

[0062] The technical solution provided in this embodiment can dynamically obtain a matching scoring strategy according to the label information in the detection request, thereby improving the accuracy of the cable tensile force detection score. As an example, first, a detection request containing the basic label and auxiliary label of the cable to be tested is received. The basic label covers the cable type (such as high-voltage cable, low-voltage cable, etc.) and cable specifications (such as cross-sectional area, outer diameter, etc.), and is used to indicate the basic physical properties and applicable scenarios of the cable. The auxiliary label includes the use environment (such as outdoor overhead, indoor laying, underwater environment, etc.), equipment type (such as thruster, ship positioning equipment, etc.) and detection purpose (such as quality acceptance, fault diagnosis, life assessment, etc.), further refining the use conditions and detection requirements of the cable.

[0063] According to the basic label, obtain the first set of scoring strategies that match it from the preset scoring strategy library. The first set of strategies is a preliminary scoring strategy set determined based on basic attributes such as cable type and specification, aiming to meet the basic scoring needs of different types and specifications of cables. For example, for high-voltage cables, the first set of scoring strategies may focus on evaluating their insulation performance and tensile strength under high-voltage conditions; for low-voltage cables, it may pay more attention to their mechanical properties and durability under general use conditions.

[0064] On the basis of the first set of scoring strategies, further screen out the second set of scoring strategies that meet the requirements according to the auxiliary label, which can meet the scoring requirements under specific use scenarios and detection needs. For example, in a harsh marine environment with high humidity, high salinity, and high temperature, for the cable used by the thruster, the second set of scoring strategies may pay more attention to evaluating its tensile strength retention ability and anti-fatigue performance under long-term immersion and water flow impact; for the cable used by the ship positioning equipment, it may focus on evaluating the mechanical property stability during frequent bending and stretching.

[0065] During the tensile test of the cable under test by the stretching device, the detection data (tensile force value and elongation) are obtained through the sensor device, and these data are statistically analyzed to extract their statistical features (such as mean, median, standard deviation, etc.). The statistical features can reflect the stress and deformation conditions of the cable during the stretching process, providing an important basis for subsequent scoring. For example, the mean value of the tensile force can reflect the overall stress level of the cable during the stretching process, the median can exclude the influence of outliers, and the standard deviation can measure the fluctuation range of the tensile force value. According to the second scoring strategy set and the characteristic parameters of the detection data, the scoring strategy applicable to this detection request is comprehensively determined. The scoring strategy matches and quantifies the characteristic parameters of the detection data with the scoring criteria to achieve accurate scoring of different detection data. For example, according to the scoring criteria in the second scoring strategy set, combined with the characteristic parameters such as the mean, median, and standard deviation of the tensile force value and elongation, the weight and score range of each characteristic parameter in the total score are determined, and then the final scoring result is obtained through weighted calculation and other methods.

[0066] The controller scores the tensile test of the cable under test according to the determined scoring strategy. When the score value is lower than the preset threshold, it indicates that there is an abnormality or non-compliance in the tensile performance of the cable under test. At this time, the controller establishes a communication connection with the user device through the communication device and sends the scoring result to the user device so that the user can timely understand the quality status of the cable and take corresponding measures.

[0067] Thus, by comprehensively considering the basic attributes (basic labels) and usage scenarios (auxiliary labels) of the cable, as well as the characteristic parameters of the detection data, the tensile performance of the cable can be evaluated more accurately. Compared with the traditional single scoring standard or simple judgment based only on detection data, this technical solution can more comprehensively reflect the performance status of the cable in the actual usage environment, providing a more valuable reference for the quality assessment and safe use of the cable. By flexibly adjusting the basic labels and auxiliary labels, as well as the corresponding scoring strategy set, it can be applicable to various scenarios such as high-voltage cables to low-voltage cables, outdoor overhead to indoor laying, from quality inspection to fault diagnosis, etc., with strong versatility and adaptability. Communication is only carried out when the score value is lower than the preset threshold, avoiding unnecessary data transmission, saving communication bandwidth and energy consumption, and reducing the operating cost of the system. In addition, by analyzing and utilizing the characteristic parameters of the detection data, the utilization efficiency of the data is also improved, avoiding data waste.

[0068] As an example, the tensile test of the power cable used in the underwater equipment (propeller, ship positioning equipment, etc.) of a ship is taken as an example. Since it needs to work in a harsh environment of high humidity, high salinity, and high temperature. The tensile test can evaluate the mechanical properties of the cable to ensure that the cable can withstand the tensile force.

[0069] The detection request includes the basic label and auxiliary label of the cable to be tested. The basic label includes: cable type, high-voltage cable; the outer diameter of the cable specification is 20mm. The auxiliary label includes: the use environment is a high-salinity environment; the equipment type is a thruster. The process of obtaining the detection request for the cable to be tested is, for example, to select or enter through the interactive touch screen set on the stretching device, and use the selected or entered information as the detection request. It can also be to read a pre-prepared detection request file, which is, for example, in xml format or txt format. This method is applicable to batch detection, repeated detection, or situations where it is necessary to plan the detection task in advance, which can improve work efficiency and reduce the possibility of manual input errors.

[0070] According to the basic label, obtain the first scoring strategy set that matches it from the preset scoring strategy library in the controller. The first scoring strategy set is a preliminary scoring strategy set determined based on the basic attributes of the high-voltage cable, mainly focusing on evaluating the tensile load-bearing capacity of the high-voltage cable under the corresponding cable specification; assume that the first scoring strategy set includes 8 scoring strategies.

[0071] On the basis of the first scoring strategy set, further screen out the second scoring strategy set that meets the requirements according to the auxiliary label, delete the scoring strategies that do not consider the labels of the high-salinity environment and thruster equipment, and retain the remaining 4 scoring strategies as the second scoring strategy set. The second scoring strategy set pays more attention to evaluating the tensile retention ability and anti-fatigue performance of the cable under the corresponding use environment. For example, it is to evaluate the tensile load-bearing capacity of the cable according to the median of the tensile value. If the median of the tensile value is between 10 - 15kN, the score is 80 - 100 points, and the specific score is calculated by linear interpolation; evaluate the tensile retention ability of the cable. If the ratio of the median of the tensile value to the initial tensile value is between 0.8 - 0.9, the score is 70 - 90 points, and the specific score is calculated by linear interpolation.

[0072] Obtain the scoring strategy according to the second scoring strategy set and the characteristic parameters of the detection data. The characteristic parameters of the detection data are, for example, the median of the tensile value and the average value of the elongation. During the tensile test of the cable to be tested by the stretching device, the detection data, including the tensile value and the elongation, is obtained through the sensor device. Assume that in this test, the measured tensile value data is [10kN, 12kN, 11kN, 13kN, 15kN], and the elongation data is [50mm, 55mm, 52mm, 58mm, 60mm]. Conduct statistical analysis on it and extract its statistical characteristics. The average value of the tensile value is 12.2kN, the median is 12kN, and the standard deviation is 1.92; the average value of the elongation is 55mm, the median is 55mm, and the standard deviation is 4.12. These statistical characteristics can reflect the stress and deformation conditions of the cable during the stretching process, providing an important basis for subsequent scoring.

[0073] According to the determined score assignment strategy, scoring is performed by combining the statistical characteristics of the tensile force value and the elongation. In specific applications, the preset threshold can be dynamically adjusted according to different score assignment strategies in the second score strategy set and obtained from the storage unit of the controller by looking up a table. It can be considered that there is a score strategy library stored in the storage unit, corresponding to the preset thresholds for different combinations of score assignment strategies. The acquisition of the preset threshold and the score assignment strategy is carried out simultaneously when obtaining the detection request for the cable to be tested, that is, before completing the tensile force detection of the cable to be tested by the stretching device, so as to improve the detection efficiency.

[0074] For this example, the controller scores the tensile force detection of the cable to be tested according to the determined score assignment strategy, and the sum of the score values is 85 points, which is higher than the preset threshold (assuming the preset threshold is 70 points), indicating that the performance of the cable to be tested meets the requirements, and the controller will not establish a communication connection with the user device.

[0075] As another example, if the score value is lower than the preset threshold, the controller will establish a communication connection with the user device through the communication device and send the score result to the user device.

[0076] Through the above process, the technical solution of the present invention can dynamically obtain the matching score assignment strategy according to the label information in the detection request, thereby improving the accuracy of scoring the cable tensile force detection and providing a more valuable reference for the quality assessment and safe use of the power cables used in ship underwater equipment.

[0077] In some embodiments, the obtaining of the score assignment strategy according to the second score strategy set and the characteristic parameters of the detection data includes:

[0078] According to the basic label, obtain the grade data corresponding to each assessment index in the second score strategy set and use it as the grade data set;

[0079] According to the grade data set, obtain the calculation weights of each assessment index during score calculation and use it as the weight data set;

[0080] According to the weight data set and the characteristic parameters of the detection data, obtain the score assignment strategy.

[0081] The technical solution provided in this embodiment obtains the grade data corresponding to each assessment index from the second score strategy set according to the basic label (such as cable type and cable specification). The grade data reflects the importance of different assessment indexes in scoring and is determined based on the basic attributes of the cable. For example, for high-voltage cables, the tensile strength may be given a higher grade, while for low-voltage cables, the elongation rate may be more important.

[0082] Based on the grade data corresponding to each assessment index, determine its calculation weight during the scoring calculation to form a weight data set. For example, the higher the grade, the greater the calculation weight, so as to ensure that in the scoring process, important assessment indexes can obtain greater weights, thereby more accurately reflecting the performance of the cable. Combine the weight data set with the characteristic parameters of the detection data (such as the average value, median, standard deviation, etc. of the tensile value and elongation), and determine the final scoring strategy. The scoring strategy will consider the weights of each assessment index and the characteristics of the detection data, and score the tensile test of the cable to be tested through weighted calculation and other methods. For example, if the weight of the tensile strength is relatively high and the average value of the tensile strength of the detection data is relatively high, then in the scoring, the tensile strength index will contribute more to the total score.

[0083] Thus, by obtaining the grade data of each assessment index according to the basic label and determining the calculation weight accordingly, the performance of the cable can be evaluated more accurately. The key performance indexes of different types of cables may be different. This technical solution can allocate appropriate weights to each assessment index according to these differences, so as to more accurately reflect the actual performance of the cable.

[0084] In some embodiments, obtaining the calculation weight of each assessment index during the scoring calculation according to the grade data set includes:

[0085] Obtain the grade data and in the grade data set;

[0086] For each assessment index, use the quotient of its corresponding grade data and the sum of the grade data as its calculation weight during the scoring calculation.

[0087] The technical solution provided in this embodiment obtains the grade data of all assessment indexes from the grade data set and calculates the sum of these grade data. The grade data set is preset according to basic labels (such as cable type and cable specification). Each assessment index has a corresponding grade data, which reflects its importance in the scoring.

[0088] For each assessment index, use the quotient of its corresponding grade data and the sum of the grade data as its calculation weight during the scoring calculation. The specific formula is: calculation weight = (grade data of the assessment index) / (sum of the grade data). In this way, the weight of each assessment index is determined according to the ratio of its grade data to the total grade data, and the weight is more reasonable. During the scoring calculation, multiply the characteristic parameters of the detection data of each assessment index (such as the average value, median, standard deviation, etc. of the tensile value and elongation) by its corresponding calculation weight, and then add the weighted results of all assessment indexes to obtain the final scoring result. Important assessment indexes will account for a larger proportion in the scoring, so as to more accurately reflect the performance of the cable.

[0089] In this case, even for the cables to be tested with the same basic label but different numbers of auxiliary labels, the resulting scoring results will have corresponding differences. Therefore, by taking the quotient of the grade data of each evaluation index and the sum of the grade data as its calculation weight, it can more accurately reflect the importance of different evaluation indexes in scoring. The above weight determination steps are simple and clear, and can be dynamically adjusted according to the basic label to adapt to different types of cables and detection requirements. The calculation of the weight is determined based on the preset grade data and objective mathematical calculation methods, avoiding the interference of human factors and helping to more accurately evaluate the performance of the cables. The method for calculating the weight is simple and easy to implement, reducing the calculation complexity. This makes the scoring calculation process more efficient, facilitating rapid implementation in practical applications and improving the detection efficiency.

[0090] In some embodiments, the system further includes a cloud server, and each of the stretching devices is used to detect the cables to be tested for the same detection request; the user device is configured to:

[0091] Receive the scoring result of any one of the stretching devices, perform statistics and increment the statistics count by one, and detect whether the statistics count is greater than a preset statistics count;

[0092] When the statistics count is greater than the preset statistics count, clear the statistics count and send the scoring results corresponding to each statistics count to the cloud server; the scoring results include the scoring value, detection data, and detection request data corresponding to the cables to be tested;

[0093] Obtain the initial scoring information from the cloud server and send it to each stretching device to update the scoring information library of each stretching device.

[0094] Among them, the cloud server and the user device are remotely communicatively connected through network technologies such as 4G / 5G, Wi-Fi, etc., and the user device and the stretching device are in short-range (local) communication connection. The user device is, for example, an industrial computer, etc. The scoring information library is, for example, a relational database (RDBMS), which uses tables to store data and can manage and query data through structured query language. In this application, lightweight data storage technologies are considered and are suitable for embedded environments. For example, JSON files or CSV files are used to store the scoring strategy. Similarly, it can also be used to store detection data.

[0095] The technical solution provided by this embodiment realizes the efficient management and data update of cable tensile force detection through the collaborative work of user equipment, stretching equipment, and cloud server. Each of the stretching devices is used to detect the cable to be tested for the same detection request. It can be understood that when the first stretching device sends the scoring result corresponding to the A1 detection request, the statistical count is 1; when the second stretching device sends the scoring result corresponding to the A1 detection request, the statistical count becomes 2, and so on; when the first stretching device sends the scoring result corresponding to the A2 detection request, another statistical count starts from 0 and increments by 1, and the statistical count is 1.

[0096] The user equipment receives the scoring result from any one of the stretching devices. The scoring result is generated after the stretching device completes a tensile force detection and includes the scoring value, detection data, and detection request data of the cable to be tested. Whenever a scoring result is received, the user equipment increments the statistical count by one to record the number of received scoring results. The preset statistical count is a set threshold used to determine when to send the collected scoring results to the cloud server. For example, the preset statistical count can be 3 times, that is, when the user equipment receives 3 scoring results, it sends the scoring results corresponding to each statistical count to the cloud server. These scoring results include the scoring values, detection data, and detection request data of all cables with abnormal detections during the statistical period.

[0097] The user equipment obtains the initial scoring information from the cloud server to update the scoring strategy corresponding to the detection request. It can be considered that in subsequent cases of the same detection request, the updated scoring strategy is used for tensile force detection.

[0098] The user equipment sends the obtained initial scoring information to each stretching device. After receiving the new scoring information, the stretching device updates its scoring information database to ensure that the latest scoring standards and strategies can be adopted in subsequent tensile force detections, improving the accuracy and reliability of the detection.

[0099] In related technologies, although many improvement methods have been proposed for the tensile force detection of power cables. For example, a cable automatic testing method, device, equipment, and storage medium disclosed in the publication number CN202211082044.4 realizes the precise measurement of cable tensile force through complex algorithms and models, improving the accuracy of the detection. However, it mainly runs complex computing tasks on a local processor (terminal) to perform real-time processing and analysis of a large amount of detection data, focusing on improving the accuracy and reliability of the detection, while not fully considering the issues of data processing efficiency and resource consumption. Although it can use the server as the execution entity to manage multiple cable stretching test devices simultaneously, it is prone to data processing delays, affecting the overall work efficiency.

[0100] Considering the data processing efficiency and resource optimization, the technical solution proposed in this application obtains detection data (including tensile force value and elongation) through a sensor device, and uses Internet of Things technology and a scoring strategy to quantitatively score the tensile force detection of the cable to be tested, which can more objectively and accurately evaluate the quality status of the cable. Compared with traditional qualitative judgment or simple threshold judgment, the scoring result is more valuable for reference, which helps to more accurately screen qualified and unqualified cable products. The system includes multiple stretching devices, which can detect multiple batches or the same batch of cables simultaneously, meeting the needs of large-scale detection and improving the overall work efficiency. Communication with the user device is only carried out when the detection result is abnormal, saving communication resources and energy consumption. In addition, the system can choose to send data to the cloud server, and use the powerful computing power of the cloud server for data processing and analysis, avoiding the data processing delay problem caused by insufficient computing power of the local processor. Moreover, the uploaded data is the scoring result corresponding to the statistical times, further improving the data processing efficiency and the overall work efficiency.

[0101] Thus, through the statistics and regular sending of the scoring results by the user device, and obtaining new scoring information (initial scoring information) from the cloud server, the timely update of the scoring information of the stretching device is realized, ensuring that the stretching device always uses the latest scoring standard for detection, and improving the accuracy and reliability of the detection results. The cloud server can centrally store and analyze a large number of scoring results. Through the mining and analysis of these data, the general laws and potential problems of cable performance can be found, providing strong data support for cable quality control and product improvement. When a new stretching device is added to the system, only by connecting and configuring it with the user device and the cloud server, the data synchronization and the update of the scoring information can be realized. The user device only sends data to the cloud server when the statistical times reach the preset value, avoiding frequent data transmission, saving communication bandwidth and energy consumption. At the same time, the cloud server can dynamically adjust the scoring information in the scoring information database according to actual needs, further optimizing the resource configuration of the system.

[0102] Embodiment 2

[0103] The embodiment of this application also provides a method for detecting the tensile force of a power cable. The specific embodiment is consistent with the embodiment described in the above system embodiment and the achieved technical effect, and some contents will not be repeated.

[0104] The system includes a user device and multiple stretching devices. Each stretching device respectively includes a stretching device, a sensor device, a controller and a communication device; for any stretching device, the controller is electrically connected to the stretching device, the sensor device and the communication device respectively. See Figure 2 , Figure 2The flowchart shows a method for detecting the tensile force of a power cable provided by the present application. The method includes:

[0105] S101, using the controller to obtain a detection request for the cable to be tested, controlling the stretching device to perform tensile force detection on the cable to be tested according to the detection request, and obtaining corresponding detection data through the sensor device;

[0106] S102, using the controller to obtain a scoring strategy matching the detection request from the scoring information library; scoring the tensile force detection of the cable to be tested according to the scoring strategy and the detection data, and when the scoring value is lower than a preset threshold, establishing a communication connection with the user device through the communication device and sending the scoring result to the user device.

[0107] See Figure 3 , Figure 3 The flowchart shows a method for obtaining a scoring strategy provided by the present application.

[0108] In some embodiments, the detection request includes the basic label and the auxiliary label of the cable to be tested; obtaining the scoring strategy matching the detection request includes:

[0109] S201, obtaining a first set of scoring strategies according to the basic label; screening out a second set of scoring strategies that meet the auxiliary label from the first set of scoring strategies; the first set of scoring strategies includes multiple assessment indicators for scoring the cable to be tested;

[0110] S202, obtaining a scoring strategy according to the second set of scoring strategies and the characteristic parameters of the detection data;

[0111] Among them, the basic label includes the cable type and the cable specification, the auxiliary label includes the usage environment, the device type, and the detection purpose, the characteristic parameters of the detection data include the statistical characteristics of the tensile force value and the elongation amount, and the statistical characteristics include at least one of the average value, the median, and the standard deviation.

[0112] In some embodiments, obtaining the scoring strategy according to the second set of scoring strategies and the characteristic parameters of the detection data includes:

[0113] According to the basic label, obtaining the grade data corresponding to each assessment indicator in the second set of scoring strategies and using it as a grade data set;

[0114] Obtaining the calculation weight of each assessment indicator in the scoring calculation according to the grade data set and using it as a weight data set;

[0115] Obtaining a scoring strategy according to the weight data set and the characteristic parameters of the detection data.

[0116] In some embodiments, obtaining the calculation weight of each assessment index during score calculation according to the grade data set includes:

[0117] Obtaining the sum of the grade data within the grade data set;

[0118] For each assessment index, taking the quotient of its corresponding grade data and the sum of the grade data as its calculation weight during score calculation.

[0119] See Figure 4 , Figure 4 shows a partial flow schematic diagram of a method for detecting the tensile force of a power cable provided in the present application.

[0120] In some embodiments, the system further includes a cloud server, and each stretching device is used to detect the cable to be tested for the same detection request; for the user device, the method further includes:

[0121] S103, receiving the score result of any stretching device, performing statistics and incrementing the statistics count by one, and detecting whether the statistics count is greater than a preset statistics count;

[0122] S104, when the statistics count is greater than the preset statistics count, clearing the statistics count and sending the score results corresponding to each statistics count to the cloud server; the score results include the score value, detection data, and detection request data corresponding to the cable to be tested;

[0123] S105, obtaining the initial scoring information from the cloud server and sending it to each stretching device to update the scoring information library of each stretching device.

[0124] See Figure 5 , Figure 5 shows a flow schematic diagram of another method for detecting the tensile force of a power cable provided in the present application.

[0125] As an example, a method for detecting the tensile force of a power cable is provided for the tensile force detection system provided in the first embodiment. The tensile force detection method includes the following steps:

[0126] At the stretching device end, R110 obtains a detection request, and the controller of the stretching device obtains a detection request for the cable to be tested. The detection request includes the basic label (such as the cable type) and auxiliary labels (such as the use environment, device type, and detection purpose) of the cable to be tested.

[0127] R120 performs a tensile force detection. The controller controls the stretching device to perform a tensile force detection on the cable to be tested according to the detection request, and obtains detection data through the sensor device. The detection data includes the tensile force value, elongation amount, etc.

[0128] R130 Obtain the scoring strategy. After obtaining the detection request, the controller obtains the scoring strategy that matches the detection request from the scoring information database. The specific steps are as follows:

[0129] R131 Obtain the first scoring strategy set. Obtain the first scoring strategy set according to the basic tags.

[0130] R132 Screen the second scoring strategy set. Screen out the second scoring strategy set that meets the auxiliary tags from the first scoring strategy set.

[0131] R133 Obtain the grade data set. Obtain the grade data corresponding to each assessment index in the second scoring strategy set according to the basic tags, and use it as the grade data set.

[0132] R134 Obtain the weight data set. Obtain the calculation weights of each assessment index during the scoring calculation according to the grade data set, and use it as the weight data set.

[0133] R135 Obtain the scoring strategy. Obtain the scoring strategy according to the weight data set and the characteristic parameters of the detection data (such as the statistical characteristics of the tensile value and elongation).

[0134] R140 Perform scoring. The controller scores the tensile test of the cable to be tested according to the scoring strategy and the detection data.

[0135] R150 Send the scoring result. When the scoring value is lower than the preset threshold, the controller establishes a communication connection with the user device through the communication device and sends the scoring result to the user device.

[0136] On the user device side, R210 Receive the scoring result. Receive the scoring result from the stretching device, perform statistics, and increment the statistical count by one.

[0137] R220 Detect the statistical count. Detect whether the statistical count is greater than the preset statistical count.

[0138] R230 Send the scoring result to the cloud server. When the statistical count is greater than the preset statistical count, the user device clears the statistical count and sends the scoring results corresponding to each statistical count to the cloud server. The scoring results include the scoring value corresponding to the cable to be tested, the detection data, and the detection request data.

[0139] R240 Obtain new scoring information. Obtain the initial scoring information from the cloud server and send it to each stretching device to update the scoring information database of each stretching device.

[0140] On the cloud server side, R310 Receive the scoring result.

[0141] R320 analyzes and processes the data, and the cloud server analyzes and processes the scoring results to generate initial score assignment information. The specific steps are as follows:

[0142] R321 inputs the detection data and detection request data in each scoring result into the scoring prediction model respectively to obtain multiple predicted scores; when the percentage error between any predicted score and the corresponding actual score value is not within its corresponding preset range (such as -5% to +5%), statistics are performed and the statistical count is incremented by one;

[0143] R321 when each scoring result obtains its corresponding predicted score, and the ratio of the statistical count to the number of scoring results is within its corresponding preset range (such as more than 80%), the initial score assignment information is the same as the original score assignment information; otherwise, the predicted score is used to replace and update the corresponding actual score value, and the scoring results after updating the score values are input into the score assignment information generation model to output the initial score assignment information.

[0144] Among them, the scoring prediction model and the score assignment information generation model are respectively obtained by training a preset deep learning model using a training set. Taking the scoring prediction model as an example, the training process includes:

[0145] Obtain a training set, where the training set includes multiple training data, and each training data includes a set of detection data and detection request data for training and the labeled data of the score values of the detection data and detection request data; for each training data in the training set, input the detection data and detection request data in the training data into the preset deep learning model to obtain the predicted data of the scores corresponding to the detection data and detection request data; based on the predicted data and the labeled data, update the model parameters of the deep learning model; detect whether the preset training end condition is met, if so, stop training, and use the trained deep learning model as the scoring prediction model, if not, use the next training data to train the deep learning model. The training process of the score assignment information generation model is similar to that of the scoring prediction model, and this example will not be elaborated.

[0146] R330 sends the new score assignment information, sends the initial score assignment information to the user device, and the user device forwards it to each stretching device.

[0147] The controller on the stretching device side controls the stretching device to perform tensile force detection according to the request, and at the same time automatically obtains the detection data through the sensor device. By obtaining the scoring strategy matching the detection request from the scoring information library, the controller can select the most appropriate scoring standard for scoring according to specific conditions such as the type, specification, and usage environment of the cable. By using a simple scoring strategy, the accuracy of scoring is improved, and the reliability of the detection result is ensured. When the scoring value is lower than the preset threshold, the controller can notify the user device in time, enabling the user to quickly understand the quality status of the cable and take corresponding measures in time, avoiding quality problems caused by detection delays. Specifically in the application, the tensile force detection standard corresponding to the scoring strategy can be greater than the industry standard. Once the scoring value obtained according to the scoring strategy is too low, the user can check the cable in advance.

[0148] The cloud server side analyzes and processes a large number of scoring results to generate initial scoring information. Based on the actual detection data, it can more accurately reflect the quality status of the cable, avoiding the subjectivity and inaccuracy of the traditional manual setting of the scoring strategy. By inputting the detection data and the detection request data into the scoring prediction model, the cloud server can obtain multiple predicted scores and perform statistics and analysis based on the error between the predicted score and the actual score value. When the error between the predicted score and the actual score value exceeds the preset range, the scoring information is automatically updated, enabling the scoring information to be continuously optimized as the detection data (indicating that the score value is frequently lower than the preset threshold) changes, maintaining the timeliness and accuracy of the scoring information.

[0149] The tensile force detection system adopts a distributed architecture of the stretching device side, the user device side, and the cloud server side. Each device has a clear division of labor and works together, improving the overall performance and reliability of the system and avoiding the impact of a single point of failure on the entire system. The user device can receive the scoring results from multiple stretching devices and send the scoring results when the statistical count reaches the preset value to the cloud server. The cloud server then sends the new scoring information to the user device, which forwards it to each stretching device. This data sharing and cooperation mechanism enables the entire system to work better together, improving the overall efficiency and reliability of the system. The scoring prediction model and the scoring information generation model are both trained based on deep learning models, which can automatically learn and extract complex features and rules in the data, improving the prediction accuracy and generalization ability of the models.

[0150] By obtaining the corresponding scoring strategy according to the basic tags and auxiliary tags in the detection request, it is possible to adapt to different types of cables, different usage environments, and detection purposes, enabling the system to be widely applied to various tensile detection scenarios of power cables and meeting the needs of different users. When new cable types or new detection environments need to be added, only the corresponding scoring information and model need to be updated on the cloud server side, and the local database (scoring information database) is updated using the cloud server, without the need for large-scale modification and adjustment of the entire system.

[0151] Embodiment III

[0152] The embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by at least one processor, it implements the functions of the system described in any one of Embodiment I, or implements the steps of the method described in any one of Embodiment II.

[0153] The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. In the embodiment of the present application, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage medium include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0154] The computer-readable storage medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable storage medium may also be any computer-readable medium that can send, propagate, or transmit a program for use by an instruction execution system, an apparatus, or a device or for use in combination with it. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above. The program code for performing the operation of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and also conventional procedural programming languages ​​such as C language or similar programming languages. The program code may be executed entirely on a user computing device, partially on a user device, as an independent software package, partially on a user computing device, partially on a remote computing device, or entirely on a remote computing device or server. Where a remote computing device is involved, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0155] Embodiment 4

[0156] An embodiment of the present application further provides a computer program product, which includes a computer program. When the computer program is executed by at least one processor, it implements the functions of the system described in any one of the first embodiments, or implements the steps of the method described in any one of the second embodiments.

[0157] The computer program product may be a portable compact disk read-only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the computer program product of the present invention is not limited thereto, and the computer program product may be any combination of one or more computer readable media.

[0158] This application is explained from the perspectives of purpose of use, effectiveness, progress and novelty, and has met the functional enhancement and usage requirements emphasized by the Patent Law. The above description and drawings of this application are only the preferred embodiments of this application, and are not intended to limit this application. Therefore, all structures, devices, features, etc. that are similar or identical to this application, that is, all equivalent replacements or modifications made in accordance with the scope of the patent application of this application, should fall within the scope of protection of the patent application of this application.

Claims

1. A tension detection system for power cables, characterized in that: The system includes a user device and a plurality of stretching devices, each of which includes a stretching device, a sensor device, a controller and a communication device; for any stretching device, the controller is electrically connected to the stretching device, the sensor device and the communication device respectively; the controller is configured as follows: Obtaining a detection request for the cable to be tested, controlling the stretching device to perform tension detection on the cable to be tested according to the detection request, and obtaining corresponding detection data through the sensor device; Obtain a scoring strategy that matches the detection request from a scoring information library; score the tension detection of the cable to be tested according to the scoring strategy and the detection data, and when the score value is lower than a preset threshold, establish a communication connection with the user device through a communication device, and send the scoring result to the user device.

2. The tension detection system according to claim 1, characterized in that: The detection request includes a basic label and an auxiliary label of the cable to be tested; and obtaining a scoring strategy matching the detection request includes: Acquire a first scoring strategy set according to the basic tag; filter out a second scoring strategy set that meets the auxiliary tag from the first scoring strategy set; the first scoring strategy set includes a plurality of assessment indicators for scoring the cable to be tested; Acquire a scoring strategy according to the second scoring strategy set and the characteristic parameters of the detection data; Among them, the basic label includes cable type and cable specification, the auxiliary label includes usage environment, equipment type and detection purpose, the characteristic parameters of the detection data include statistical characteristics of tension value and elongation, and the statistical characteristics include at least one of mean, median and standard deviation.

3. The tension detection system according to claim 2, characterized in that: The obtaining of the scoring strategy according to the second scoring strategy set and the characteristic parameters of the detection data includes: According to the basic tag, the grade data corresponding to each assessment indicator in the second scoring strategy set is obtained and used as the grade data set; Obtaining the calculation weight of each assessment indicator in the scoring calculation according to the grade data set, and using it as the weight data set; A scoring strategy is obtained according to the weight data set and the characteristic parameters of the detection data.

4. The tension detection system according to claim 3, characterized in that: The step of obtaining the calculation weight of each assessment indicator in the score calculation according to the grade data set includes: Obtaining the level data and in the level data set; For each of the assessment indicators, the quotient of the corresponding grade data and the sum of the grade data is used as its calculation weight in scoring calculation.

5. The tension detection system according to claim 1, characterized in that: The system further includes a cloud server, each of the stretching devices is used to detect the cables to be tested with the same detection request; the user equipment is configured as follows: Receive the scoring result of any stretching device, perform statistics and add one to the statistical number, and detect whether the statistical number is greater than a preset statistical number; When the statistical number is greater than the preset statistical number, the statistical number is cleared, and the scoring results corresponding to each statistical number are sent to the cloud server; the scoring results include the scoring value, detection data and detection request data corresponding to the cable to be tested; Initial scoring information is obtained from the cloud server and sent to each stretching device, and the scoring information library of each stretching device is updated.

6. A method for detecting the tension of a power cable, characterized in that: A tension detection system applied to any one of claims 1 to 5, the system comprising a user device and a plurality of stretching devices, each of the stretching devices comprising a stretching device, a sensor device, a controller and a communication device; For any stretching device, the controller is electrically connected to the stretching device, the sensor device and the communication device respectively, and the method includes: Using the controller to obtain a detection request for the cable to be tested, controlling the stretching device to perform tension detection on the cable to be tested according to the detection request, and obtaining corresponding detection data through the sensor device; The controller is used to obtain a scoring strategy that matches the detection request from a scoring information library; the tension detection of the cable to be tested is scored according to the scoring strategy and the detection data, and when the score value is lower than a preset threshold, a communication connection is established with a user device through a communication device, and the scoring result is sent to the user device.

7. The tension detection method according to claim 6, characterized in that: The detection request includes a basic label and an auxiliary label of the cable to be tested; and obtaining a scoring strategy matching the detection request includes: Acquire a first scoring strategy set according to the basic tag; filter out a second scoring strategy set that meets the auxiliary tag from the first scoring strategy set; the first scoring strategy set includes a plurality of assessment indicators for scoring the cable to be tested; Acquire a scoring strategy according to the second scoring strategy set and the characteristic parameters of the detection data; Among them, the basic label includes cable type and cable specification, the auxiliary label includes usage environment, equipment type and detection purpose, the characteristic parameters of the detection data include statistical characteristics of tension value and elongation, and the statistical characteristics include at least one of mean, median and standard deviation.

8. The tension detection method according to claim 6, characterized in that: The system further comprises a cloud server, and each of the stretching devices is used to detect the cables to be tested with the same detection request; For the user equipment, the method further includes: Receive the scoring result of any stretching device, perform statistics and add one to the statistical number, and detect whether the statistical number is greater than a preset statistical number; When the statistical number is greater than the preset statistical number, the statistical number is cleared, and the scoring results corresponding to each statistical number are sent to the cloud server; the scoring results include the scoring value, detection data and detection request data corresponding to the cable to be tested; Initial scoring information is obtained from the cloud server and sent to each stretching device, and the scoring information library of each stretching device is updated.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by at least one processor, the computer program implements the functions of the system described in any one of claims 1 to 5, or implements the steps of the method described in any one of claims 6 to 8.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by at least one processor, the computer program implements the functions of the system according to any one of claims 1 to 5, or implements the steps of the method according to any one of claims 6 to 8.

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