Torsion resistance evaluation device, method and equipment for wind power generation cable

Abstract

The invention discloses a device, a method and equipment for evaluating the torsion resistance of a wind power generation cable, and belongs to the technical field of electric power facilities. The device comprises a cable sample acquisition module used for acquiring a cable sample of a wind power generation cable; the simulation control module is used for adopting a mechanical device with a multi-axis torsion function to respectively carry out torsion simulation control for simulating fan yaw torsion, tower torsion and cable laying shape torsion on the cable sample; and the detection module is used for carrying out torsional fatigue detection and electrical performance detection on the cable sample, and determining torsional performance evaluation information of the cable sample of the wind power generation cable according to a detection result. According to the technical scheme, the torsion resistance of the wind power generation cable can be accurately evaluated, the stable operation of the wind power generation cable is ensured, the energy conversion efficiency is prevented from being influenced by the reduction of the torsion resistance of the wind power generation cable, the time and material resource loss caused by subsequent maintenance and fault inspection is avoided, and the operation stability of a wind generating set is improved.

Description

Technical Field

[0001] This application belongs to the technical field of power facilities, and particularly relates to a device, method and equipment for evaluating the anti-torsion performance of wind power cables. Background Art

[0002] With the rapid development of the scientific and technological level, the use of clean energy has become one of the hot topics. Wind power generation technology is one of the technologies that have developed rapidly in recent years. Due to its abundant energy and high utilization rate, it has good development prospects.

[0003] Wind turbine generators are often arranged according to the terrain and wind distribution. One of the characteristics of wind turbines is that they will rotate with the direction of the wind to obtain wind energy to the maximum extent and convert it into electrical energy. During the rotation process, as an important component of the wind turbine, the wind power cable will be subjected to additional torsional effects. Due to the reciprocation of the torsional effects, it will affect the mechanical properties of the wind power cable, and seriously even affect the electrical properties of the wind power cable. In addition, the wind power cable may also be affected by other acting forces, so that it is always subjected to stresses in all directions during the actual working process. And the time cost and labor cost for maintaining and reducing the wind power cable are very high. Therefore, the performance monitoring of the wind power cable is particularly important. How to accurately evaluate its anti-torsion performance is a technical problem for those skilled in the art. Summary of the Invention

[0004] The purpose of the embodiments of this application is to provide a device, method and equipment for evaluating the anti-torsion performance of wind power cables, aiming to accurately evaluate the anti-torsion performance of the wind power cables in actual use by performing anti-torsion performance tests on the cable samples of the wind power cables, ensuring the stable operation of the wind turbine generators, avoiding the influence of the decline of the anti-torsion performance of the wind power cables on the energy conversion efficiency, as well as the time and material losses brought by subsequent maintenance and fault inspection, and improving the operation stability of the wind turbine generators.

[0005] In the first aspect, the embodiments of this application provide a device for evaluating the anti-torsion performance of wind power cables, and the device includes:

[0006] A cable sample acquisition module, configured to acquire a cable sample of a wind power cable;

[0007] A simulation control module, configured to perform torsion simulation control on the cable sample by using a mechanical device with multi-axis torsion function for respectively simulating the yaw torsion of the wind turbine, the tower torsion and the cable laying shape torsion, wherein the torsion angle, speed and period of each axis are controlled;

[0008] A detection module for performing torsional fatigue detection and electrical performance detection on a cable sample, and determining anti-torsion performance evaluation information of the cable sample of the wind power cable according to the detection results.

[0009] Further, the device further includes:

[0010] A torsional parameter acquisition module for acquiring actual torsional parameters of each axis during the actual operation of the wind turbine generator within a monitoring period through sensors arranged on the wind turbine generator.

[0011] Further, the simulation control module includes:

[0012] A torsional parameter determination unit for determining simulated torsional parameters for simulating yaw torsion of the fan, simulated torsional parameters for tower torsion, and simulated torsional parameters for cable laying shape torsion of the cable sample according to the actual torsional parameters;

[0013] A simulation control unit for performing simulation control according to the simulated torsional parameters for yaw torsion of the fan, the simulated torsional parameters for tower torsion, and the simulated torsional parameters for cable laying shape torsion.

[0014] Further, the simulation control unit is further configured to:

[0015] Determine time synchronization parameters for simulation control;

[0016] Synchronously or asynchronously control the simulated torsional parameters for yaw torsion of the fan, the simulated torsional parameters for tower torsion, and the simulated torsional parameters for cable laying shape torsion according to the time synchronization parameters.

[0017] Further, the device further includes:

[0018] A load information acquisition module for acquiring load information of the wind power cable during actual operation;

[0019] The simulation control module is further configured to determine the simulated load of the cable sample according to the load information, so as to apply the simulated load while performing torsional simulation control on the cable sample.

[0020] Further, the detection module includes:

[0021] A core fatigue detection unit for detecting the core fatigue of the wind power cable according to a preset detection period and obtaining a first detection result;

[0022] An electrical performance detection unit for detecting the electrical performance of the wind power cable according to a preset detection period and obtaining a second detection result;

[0023] An evaluation unit for determining the torsional performance evaluation information of the cable sample according to the first detection result and the second detection result.

[0024] Further, the core fatigue detection unit is specifically configured to:

[0025] Adopt an acoustic emission detection mechanism to emit acoustic wave signals to the wind power cable according to a preset detection period, and detect the elastic wave signals generated by core fatigue damage, and perform feature analysis on the elastic wave signals to obtain the first detection result;

[0026] The electrical property detection unit is specifically configured to:

[0027] Adopt a high-frequency impedance spectrum measurement mechanism to perform real-time measurement of the impedance characteristics of the wind power cable according to a preset detection period, and analyze the change of the impedance spectrum to obtain the second detection result.

[0028] In a second aspect, an embodiment of the present application provides a method for evaluating the torsional performance of a wind power cable, the method including:

[0029] Obtain a cable sample of the wind power cable;

[0030] Use a mechanical device with multi-axis torsion function to perform torsion simulation control on the cable sample for simulating yaw torsion of the wind turbine, tower torsion, and cable laying shape torsion respectively, including controlling the torsion angle, speed, and period of each axis;

[0031] Perform torsion fatigue detection and electrical property detection on the cable sample, and determine the torsional performance evaluation information of the cable sample of the wind power cable according to the detection results.

[0032] Further, the method further includes:

[0033] Collect the actual torsion parameters of each axis during the actual operation of the wind turbine during the monitoring period through sensors arranged on the wind turbine.

[0034] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored on the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the method described in the first aspect are implemented.

[0035] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0036] Fifth aspect, an embodiment of the present application provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor, and the processor is configured to run programs or instructions to implement the method described in the first aspect.

[0037] In an embodiment of the present application, a cable sample acquisition module is configured to acquire a cable sample of a wind power cable; a simulation control module is configured to perform torsional simulation control on the cable sample for simulating yaw torsion of a wind turbine, tower torsion, and cable laying shape torsion by using a mechanical device with a multi-axis torsion function, including controlling the torsion angle, speed, and period of each axis; a detection module is configured to perform torsional fatigue detection and electrical performance detection on the cable sample, and determine the anti-torsion performance evaluation information of the cable sample of the wind power cable according to the detection results. Through the above technical solution, by performing anti-torsion performance testing on the cable sample of the wind power cable, the anti-torsion performance of the wind power cable in actual use can be accurately evaluated, ensuring the stable operation of the wind turbine generator set, avoiding the influence of the decrease in the anti-torsion performance of the wind power cable on the energy conversion efficiency, and the time and material losses caused by subsequent maintenance and fault inspection, and improving the operation stability of the wind turbine generator set. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a schematic structural diagram of an anti-torsion performance evaluation device for a wind power cable provided in Embodiment 1 of the present application;

[0039] Figure 2 is a schematic structural diagram of an anti-torsion performance evaluation device for a wind power cable provided in Embodiment 2 of the present application;

[0040] Figure 3 is a schematic structural diagram of an anti-torsion performance evaluation device for a wind power cable provided in Embodiment 3 of the present application;

[0041] Figure 4 is a schematic flowchart of an anti-torsion performance evaluation method for a wind power cable provided in Embodiment 4 of the present application;

[0042] Figure 5 is a schematic structural diagram of an electronic device provided in Embodiment 5 of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] To make the objectives, technical solutions, and advantages of this application clearer, the following provides a more detailed description of specific embodiments of this application with reference to the accompanying drawings. It can be understood that the specific embodiments described herein are merely for explaining this application and not for limiting this application. Additionally, it should be noted that for ease of description, only parts related to this application rather than all content are shown in the drawings. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operations are completed, but it can also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0044] The following will clearly describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of this application.

[0045] The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of this application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same category, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and / or" in the description and claims means at least one of the connected objects, and the character " / " generally indicates an "or" relationship between the associated objects before and after.

[0046] The following, with reference to the accompanying drawings, through specific embodiments and their application scenarios, provides a detailed description of the device, method, and equipment for evaluating the anti-torsion performance of a wind power cable provided by the embodiments of this application.

[0047] Embodiment 1

[0048] Figure 1 is a schematic structural diagram of the device for evaluating the anti-torsion performance of a wind power cable provided by Embodiment 1 of this application. As Figure 1 shown, the device includes:

[0049] A cable sample acquisition module 110, configured to acquire a cable sample of a wind power cable;

[0050] The analog control module 120 is used to perform torsional simulation control on the cable sample by using a mechanical device with a multi-axis torsion function for respectively simulating the yaw torsion of the fan, the tower torsion, and the cable laying shape torsion of the cable sample, wherein the torsion angle, speed, and period of each axis are controlled.

[0051] The detection module 130 is used to perform torsional fatigue detection and electrical performance detection on the cable sample, and determine the anti-torsion performance evaluation information of the cable sample of the wind power cable according to the detection results.

[0052] Among them, the wind power cable can be a cable that transmits the electric energy generated by the fan to the power grid or other electrical equipment. Its working environment is harsh and it needs to withstand various complex conditions such as strong winds, low temperatures, high humidity, and mechanical vibrations. To adapt to these extreme working conditions, the anti-torsion performance of the wind power cable is particularly important.

[0053] The cable sample can be a specific length part intercepted from a complete wind power cable and used as the object of subsequent various tests and research. To ensure the representativeness of the sample and the accuracy of the test, the sample interception needs to follow strict standards. The sample interception method can adopt the laser-induced plasma cutting technology, which uses the plasma generated instantaneously by a high-energy laser beam to cut the cable in a non-contact manner, can minimize the influence of the cutting process on the internal structure and performance of the cable, and ensure the flatness of the cutting surface and the integrity of the sample.

[0054] The mechanical device with a multi-axis torsion function can be a mechanical device specifically designed to simulate the multi-directional torsional forces borne by the cable during actual operation. Taking a three-axis layout as an example, it consists of mutually perpendicular X-axis, Y-axis, and Z-axis, and each axis is equipped with an independent drive system and a high-precision sensor. Its drive system may adopt a combination of a linear motor and a harmonic reducer, which can not only provide high torque output but also achieve high-precision position control.

[0055] The fan yaw torsion can be that during the operation of the fan, in order to always keep the front of the wind turbine facing the wind to obtain the maximum wind energy, the nacelle will rotate around the central axis at the top of the tower, and this rotation action will cause the cable connecting the fan and other equipment to twist, which is the fan yaw torsion. During the simulation process, it is necessary to accurately reproduce the angle change range, speed, and periodic law when the fan yaws to accurately simulate the torsional stress borne by the cable under this working condition.

[0056] Tower torsion can occur when, under the action of wind, the tower, as a structure supporting the wind turbine, undergoes a certain degree of torsional deformation. This deformation is transmitted to the cable through the connecting components, causing the cable to be subjected to additional torsional forces, that is, tower torsion. To simulate this phenomenon, fiber Bragg grating sensors can be used to monitor the torsional strain of the actual tower under different wind conditions in real time and feed the data back to the simulation control module, based on which the torsional parameters of the corresponding shafts in the mechanical device are adjusted.

[0057] Cable laying shape torsion can occur during the actual erection of a wind farm. To adapt to the movement of the wind turbine, the site layout, and the cable's own expansion and contraction requirements, the cable usually adopts specific laying shapes, such as spiral or S-shaped. During the operation of the wind turbine, these special laying shapes will cause additional torsional stress on the cable due to their own structural characteristics, that is, cable laying shape torsion. Specifically, by establishing an accurate three-dimensional digital model of the cable laying shape, fabricating a mold consistent with the actual laying shape, and integrating it into the mechanical device, the simulation of cable laying shape torsion can be achieved.

[0058] The torsional angle can refer to the angle by which a cable sample rotates relative to its initial position during the torsion process. It is an important parameter for measuring the degree of cable torsion and is crucial for studying the performance changes of the cable under different torsion degrees. A high-precision optical encoder is used to monitor the torsional angle in real time, with a resolution up to the sub-arcsecond level, ensuring that the minute angle changes of the cable sample can be accurately captured.

[0059] The speed can refer to the angular velocity of the cable sample during the torsion process, reflecting the speed of the torsional movement. The change in angular velocity will affect the stress distribution and the accumulation rate of fatigue damage in the internal materials of the cable. Using laser Doppler velocimetry technology, by measuring the frequency change of the reflected light after the laser irradiates the cable surface, the real-time speed of the cable torsion can be accurately calculated, with a measurement accuracy of up to 0.01 rad / s.

[0060] The period can be the time required to complete one full torsional movement. When simulating actual working conditions, different torsion scenarios have different period characteristics. Through a high-precision clock chip and digital control algorithms, the periods of the torsional movements of each shaft are accurately set and adjusted to simulate the torsional period changes consistent with the actual situation.

[0061] Based on comprehensive considerations of various factors such as simulation effects, accuracy requirements, and equipment performance, a mechanical device with multi-axis torsion function is selected to conduct cable torsion simulation experiments. In this process, it is necessary to conduct detailed performance evaluations and comparative analyses on various mechanical devices with different types and technical parameters, and finally determine the device that best suits the requirements of this test system. According to the parameters and instructions set by the simulation control module, using the mechanical device with multi-axis torsion function, actual operations of simulating wind turbine yaw torsion, tower torsion, and cable laying shape torsion are carried out on the cable sample. During the operation, various sensor data are collected in real time to ensure the accuracy and stability of the simulation process. Digital signal processing technology and fuzzy logic control algorithms in the simulation control module are used to precisely adjust and manage the torsion angle, speed, and period of each axis. According to the cable sample state data monitored in real time and the requirements of the preset simulation scenario, the control parameters are automatically adjusted to achieve precise control of the cable torsion simulation process, making it as close as possible to the actual stress conditions of the cable in the wind power generation scenario.

[0062] Torsion fatigue detection can be a process of studying the gradual deterioration of the material properties of a cable sample under long-term and repeated torsion. By monitoring various physical signals during the torsion of the cable, such as acoustic emission signals and strain changes, the damage evolution law of the internal microstructure of the cable is analyzed. Specifically, acoustic emission signal analysis technology based on deep learning can be used. Through the learning and training of a large number of acoustic emission signals, a mapping relationship between the internal damage types of the cable and the characteristics of the acoustic emission signals is established, so as to achieve early warning and precise positioning of the internal fatigue damage of the cable.

[0063] Electrical performance detection can be a process of detecting electrical parameters such as the conductivity, insulation performance, and capacitance characteristics of the cable. With the increasing requirements of the power system for cable performance, traditional electrical performance detection methods can no longer meet the needs of high-precision and rapid detection. Specifically, terahertz time-domain spectroscopy technology can be used. This technology can obtain electrical parameters such as the dielectric constant and conductivity of the cable material in the terahertz frequency band in an extremely short time. By analyzing the changes in these parameters, the aging degree of the internal insulation material of the cable and the loss situation of the conductor can be deeply understood, providing rich and accurate information for evaluating the electrical performance of the cable.

[0064] The detection results can be various data and information obtained through torsion fatigue detection and electrical performance detection, including stress-strain data of the cable sample, acoustic emission signal characteristics, and electrical parameter values. These data are preprocessed and analyzed through data analysis algorithms and presented in an intuitive and easy-to-understand form, such as generating charts and curves, providing a basis for subsequent anti-torsion performance evaluation.

[0065] The torsional performance evaluation information can be a comprehensive and integrated evaluation of the cable sample's resistance to torsion based on the test results. For example, information such as the fatigue life prediction of the cable under different torsional conditions, the impact of the change trend of electrical properties on its power transmission stability, and the maximum torsional stress that the cable can withstand. By establishing a torsional performance evaluation model with multi-parameter coupling, taking various detected data as input parameters, and using artificial intelligence algorithms for analysis and prediction, the torsional performance evaluation conclusion of the cable sample in actual applications can be obtained.

[0066] The technical solution provided in this embodiment can comprehensively, accurately, and efficiently evaluate the torsional performance of wind power cables by precisely collecting representative samples, simulating the torsional forces of cables under actual complex working conditions with the help of a multi-axis torsional mechanical device and intelligent control algorithms, and using detection technologies to comprehensively and real-time monitor the performance changes of cables, providing detailed data support for the research, production, and application of wind power cables. It helps to improve the quality of cable products and optimize the stability of wind turbine generators.

[0067] In one embodiment, optionally, the device further includes:

[0068] A torsional parameter acquisition module, configured to acquire the actual torsional parameters of each axis during the actual operation of the wind turbine generator within a monitoring period through sensors installed on the wind turbine generator.

[0069] Among them, a wind turbine generator is a device that converts wind energy into electrical energy, mainly composed of parts such as a wind wheel, a generator, and a tower. During operation, affected by factors such as wind direction and wind speed, its various components will undergo different degrees of torsion.

[0070] The sensor can be installed on the wind turbine generator to sense and measure various physical quantities during the operation of the wind turbine generator. Here, it specifically refers to a sensor used to obtain parameters related to the torsion of each axis. For example, an optical fiber grating sensor is adopted. It utilizes the characteristic that the reflected wavelength of an optical fiber grating changes with strain, and can measure the torsional strain of the axis with high precision, and then convert parameters such as torsional angle. This type of sensor has the advantages of anti-electromagnetic interference, high precision, and distributed measurement, and is suitable for working in the complex electromagnetic environment of wind turbine generators.

[0071] The monitoring period can be a preset time period during which the operation parameters of the wind turbine generator are continuously monitored and data is collected. The setting of the monitoring period can be flexibly adjusted according to the operation characteristics of the wind turbine generator and the data analysis requirements. For example, it can be set to one day, one week, or one month, etc. By collecting and analyzing data for different monitoring periods, the operation status of the wind turbine generator at different time scales can be understood.

[0072] Actual torsional parameters may refer to the real torsional-related parameters shown by each axis during the actual operation of a wind turbine generator, such as torsional angle, torsional speed, and torsional period, etc.

[0073] In this technical solution, by reasonably installing sensors at specific positions of the wind turbine generator, it is ensured that the sensors can accurately sense the torsional conditions of each axis. During the setting process, factors such as the installation accuracy of the sensors, anti-interference ability, and the impact on the normal operation of the wind turbine generator need to be considered. For example, for the installation of fiber Bragg grating sensors, a special pasting process needs to be adopted to ensure that the sensors are closely attached to the shaft surface and can accurately measure the strain of the shaft. Various sensors installed on the wind turbine generator obtain the torsional-related data of each axis during the actual operation of the wind turbine generator within the monitoring period.

[0074] In this technical solution, the actual torsional parameters of each axis during the actual operation of the wind turbine generator are collected in real time by the torsional parameter acquisition module, providing real reference data for the simulation control module. This enables the torsional simulation of the cable sample to be closer to the actual working conditions, thereby improving the accuracy of the subsequent evaluation of the anti-torsion performance of the cable sample. This helps to more accurately evaluate the performance of the wind power cable in actual use, providing data support for the optimized design, quality control, and fault prediction of the cable, and further ensuring the stable operation of the wind power system.

[0075] Embodiment 2

[0076] Based on the above embodiment, this embodiment is further optimized. Specifically, the optimization is as follows: The simulation control module includes: a torsional parameter determination unit for determining the simulated torsional parameters of the wind turbine yaw torsion, the tower torsion, and the cable laying shape torsion for simulating the cable sample according to the actual torsional parameters; a simulation control unit for performing simulation control according to the simulated torsional parameters of the wind turbine yaw torsion, the simulated torsional parameters of the tower torsion, and the simulated torsional parameters of the cable laying shape torsion. Figure 2 It is a schematic structural diagram of an anti-torsion performance evaluation device for a wind power cable provided by Embodiment 2 of the present application. As Figure 2 shown, the device includes:

[0077] A cable sample acquisition module 210 for acquiring a cable sample of the wind power cable;

[0078] A torsional parameter acquisition module 220 for acquiring the actual torsional parameters of each axis during the actual operation of the wind turbine generator within the monitoring period through sensors arranged on the wind turbine generator;

[0079] The analog control module 230 is used to perform torsional simulation control on the cable sample by using a mechanical device with multi-axis torsional function for the simulated wind turbine yaw torsion, tower torsion, and cable laying shape torsion of the cable sample respectively, including controlling the torsion angle, speed, and period of each axis;

[0080] The detection module 240 is used to perform torsional fatigue detection and electrical performance detection on the cable sample, and determine the anti-torsion performance evaluation information of the cable sample of the wind power cable according to the detection results;

[0081] Among them, the analog control module 230 includes:

[0082] The torsion parameter determination unit 231 is used to determine the simulated torsion parameters of the wind turbine yaw torsion, tower torsion, and cable laying shape torsion for simulating the cable sample according to the actual torsion parameters;

[0083] The analog control unit 232 is used to perform analog control according to the simulated torsion parameters of the wind turbine yaw torsion, the simulated torsion parameters of the tower torsion, and the simulated torsion parameters of the cable laying shape torsion.

[0084] Among them, the actual torsion parameters can refer to the real torsion parameters of each axis of the wind turbine generator set collected by the sensors installed on the wind turbine generator set during the actual operation of the wind turbine generator set, such as torsion angle, speed, and period. These parameters reflect the torsion situation of the wind turbine generator set in the natural environment and actual working conditions, and are important reference bases for conducting simulation experiments.

[0085] The simulated torsion parameters can be parameters determined for torsional simulation of the cable sample according to the actual torsion parameters, combined with the characteristics of the cable sample and the requirements of the simulation experiment. It includes the simulated torsion parameters of the wind turbine yaw torsion, such as the simulated yaw torsion angle range, torsion speed, and torsion period, the simulated torsion parameters of the tower torsion, such as the simulated tower torsion angle, speed, and frequency, and the simulated torsion parameters of the cable laying shape torsion, such as the simulated torsion angle change and torsion speed change caused by the laying shape.

[0086] The analog control unit 232 can send control commands to the mechanical device with multi-axis torsional function according to the determined simulated torsion parameters to achieve precise control of the cable sample torsion simulation process. It uses a real-time operating system and high-precision motion control algorithms to ensure that the mechanical device accurately simulates various torsion working conditions according to the preset parameters.

[0087] The technical solution provided by this embodiment can accurately determine the parameters required for simulation and perform torsional simulation on cable samples according to the actual operating conditions of the wind turbine generator set through the collaborative work of the torsional parameter determination unit and the simulation control unit. This makes the simulation experiment closer to the actual working conditions and improves the accuracy of the assessment of the torsional resistance performance of cable samples. It can provide a more valuable reference basis for the design, production, and application of wind power cables, help improve the quality and performance of cables, and ensure the safe and stable operation of the wind power system. At the same time, the adopted algorithm and intelligent control technology improve the automation degree and efficiency of the simulation process, and reduce manual intervention and experimental costs.

[0088] In one embodiment, optionally, the simulation control unit is further configured to:

[0089] Determine the time synchronization parameters for simulation control;

[0090] Synchronously or asynchronously control the simulated torsional parameters of the wind turbine yaw torsion, the simulated torsional parameters of the tower torsion, and the simulated torsional parameters of the cable laying shape torsion according to the time synchronization parameters.

[0091] Among them, the time synchronization parameters can be used to coordinate and unify the parameters of different types of torsional simulation processes in the time dimension. It can be used to determine information such as the time sequence, duration, and time interval of the wind turbine yaw torsion, tower torsion, and cable laying shape torsion during the simulation process, so as to ensure that the torsional simulation of each axis can be reasonably arranged in time according to the actual working conditions or experimental requirements. For example, in the actual wind power generation scenario, the torsion caused by the wind turbine yaw, tower torsion, and cable laying shape may not occur simultaneously or have a specific time relationship, and the time synchronization parameters are used to accurately simulate this time relationship.

[0092] Synchronous control may refer to making the simulation operations of the wind turbine yaw torsion, tower torsion, and cable laying shape torsion strictly consistent in time during the simulation process. That is, each axis starts, ends, and changes at the same time rhythm. This control method is applicable to the situation where it is necessary to simulate the simultaneous action of various torsional factors on the cable in order to study the performance of the cable under this complex resultant force.

[0093] Asynchronous control, contrary to synchronous control, asynchronous control can be used to control the simulation operations of the wind turbine yaw torsion, tower torsion, and cable laying shape torsion to have differences in time. Each axis can start, end, or change at different time points according to the actual situation or experimental design, simulating the actual working conditions where various torsional factors affect the cable at different times. For example, the tower torsion can be simulated for a period of time first, and then the wind turbine yaw torsion can be started to study the performance changes of the cable under the successive action of different torsional factors.

[0094] In this solution, the analog control unit adjusts and controls the analog torsion parameters of the wind turbine yaw torsion, tower torsion, and cable laying shape torsion according to the determined time synchronization parameters. If synchronous control is adopted, the analog control unit will send control commands to the mechanical device with multi-axis torsion function simultaneously, so that each axis performs torsion movement at the same time rhythm; if asynchronous control is adopted, the analog control unit will set different start times, durations, and change rules for each axis according to the time synchronization parameters, realizing differential control of each axis in time. During the control process, the analog control unit will monitor the operating status of each axis in real time and adjust the control commands in a timely manner according to the feedback information to ensure the accuracy and stability of the simulation process.

[0095] In this technical solution, by determining the time synchronization parameters and performing synchronous or asynchronous control, this technical solution can more realistically simulate the complex working conditions of wind power cables during actual operation. Synchronous control can study the ultimate performance of the cable under the simultaneous action of multiple torsion factors, while asynchronous control can analyze the fatigue damage accumulation process of the cable under the sequential action of different torsion factors. This refined analog control improves the accuracy and comprehensiveness of the evaluation of the cable's anti-torsion performance, providing a basis for the design optimization, quality improvement, and fault prediction of the cable. At the same time, the control algorithm and real-time monitoring mechanism ensure the efficiency and stability of the simulation process.

[0096] Embodiment III

[0097] Based on the above embodiment, this embodiment is further optimized. Specifically, the optimization is as follows: The device further includes: a load information acquisition module, which is used to acquire the load information of the wind power cable during actual operation; the analog control module is further used to determine the analog load of the cable sample according to the load information, so as to apply the analog load while performing torsion simulation control on the cable sample. Figure 3 It is a schematic structural diagram of the anti-torsion performance evaluation device for wind power cables provided in Embodiment III of the present application. As Figure 3 shown, the device includes:

[0098] A cable sample acquisition module 310, which is used to acquire a cable sample of the wind power cable;

[0099] An analog control module 320, which is used to perform torsion simulation control on the cable sample for simulating wind turbine yaw torsion, tower torsion, and cable laying shape torsion respectively by using a mechanical device with multi-axis torsion function, including controlling the torsion angle, speed, and period of each axis;

[0100] A detection module 330, which is used to perform torsion fatigue detection and electrical performance detection on the cable sample, and determine the anti-torsion performance evaluation information of the cable sample of the wind power cable according to the detection results.

[0101] Wherein, the device further comprises:

[0102] a load information acquisition module 340, configured to acquire the load information of the wind power cable during actual operation;

[0103] The simulation control module 320 is further configured to determine the simulated load of the cable sample according to the load information, so as to apply the simulated load while performing the torsion simulation control on the cable sample.

[0104] Wherein, the load information may refer to the relevant data of various electrical and mechanical loads borne by the wind power cable during actual operation. The electrical load information includes parameters such as the magnitude of the current transmitted by the cable, voltage change, and power factor, which reflect the working state of the cable during the power transmission process. The mechanical load information involves the acting forces such as tension, pressure, and torque exerted on the cable due to factors such as wind force, vibration, and self-weight. The accurate acquisition of the load information is crucial for evaluating the performance and lifespan of the cable under actual working conditions.

[0105] The simulated load may be an equivalent load applied to the cable sample in a laboratory environment according to the load information during the actual operation of the wind power cable. The simulated load may be an electrical load, such as simulating different currents and voltages through a variable resistor or a power supply simulator; it may also be a mechanical load, such as applying tension, pressure, or torque using a hydraulic device or an electric actuator. The purpose of the simulated load is to make the load condition borne by the cable sample during the torsion simulation process as close as possible to the actual operation state, so as to more accurately evaluate the performance of the cable.

[0106] In this solution, the load information acquisition module collects physical quantity data related to cable loads through various sensors distributed in the wind power generation system. These sensors convert physical signals into electrical signals or digital signals, and then transmit the signals to the load information acquisition module through the data transmission network. The module preprocesses these raw data, including operations such as filtering, amplification, and digitization, and finally obtains accurate load information. For example, a high-precision current sensor is used to measure the current value in the cable and convert it into a digital signal for transmission to the module for processing. The analog control module calculates the analog load parameters suitable for the cable sample using mathematical models and algorithms based on the acquired load information, combined with the characteristics of the cable sample and the test requirements. This process needs to consider factors such as the rated capacity of the cable, the load change range during actual operation, and the proportion of different load types. Through comprehensive analysis and calculation of these factors, parameters such as the magnitude, change law, and application time of the analog load are determined to ensure that the analog load can truly reflect the stress conditions of the cable during actual operation. The analog control module performs a load application operation on the cable sample through the corresponding load application device according to the determined analog load parameters. For electrical loads, the module controls the power simulator or variable resistor to output the corresponding current and voltage; for mechanical loads, the module controls the hydraulic device or electric actuator to apply the corresponding tensile force, pressure, or torque. During the application process, the module monitors the load application situation in real time and dynamically adjusts the load according to the feedback information to ensure the accuracy and stability of the analog load.

[0107] In this technical solution, the actual load information of the wind power generation cable is accurately obtained through the load information acquisition module, and the analog load is determined and applied by the analog control module according to this information. This technical solution can highly realistically simulate the complex working conditions of the cable during actual operation in a laboratory environment. This makes the test results of the cable sample closer to the actual situation and improves the accuracy of the evaluation of the cable's torsional resistance and comprehensive performance. It helps to detect potential problems that may occur in the cable during actual operation in advance, provides a more scientific basis for the design optimization, selection, and maintenance of the cable, thereby improving the overall stability and safety of the wind power generation system. At the same time, this simulation test method also reduces the cost and risk of large-scale testing in actual wind farms.

[0108] Based on the above embodiments, optionally, the detection module includes:

[0109] The core fatigue detection unit is used to detect the core fatigue of the wind power generation cable according to a preset detection period and obtain a first detection result;

[0110] The electrical performance detection unit is used to detect the electrical performance of the wind power generation cable according to a preset detection period and obtain a second detection result;

[0111] An evaluation unit for determining the torsional resistance performance evaluation information of the cable sample according to the first detection result and the second detection result.

[0112] A preset detection period, which can be a preset time interval for detecting the cable. According to the cable's usage environment, working conditions, and test requirements, reasonably setting the detection period can timely detect changes in the cable's performance and avoid faults and accidents caused by untimely detection. For example, for cables operating in harsh environments, a shorter detection period can be set to monitor their performance changes more frequently; while for cables with relatively stable operating environments, the detection period can be appropriately extended.

[0113] Core fatigue can refer to the phenomenon that the microstructure inside the cable core gradually changes under the action of repeated forces such as torsion, tension, and bending, resulting in a decline in its mechanical properties. Core fatigue is a gradual process. In the initial stage, it may be manifested as the generation of microscopic cracks. As time goes by and the number of forces increases, the cracks will gradually expand, and ultimately may lead to core fracture, affecting the normal operation of the cable.

[0114] The first detection result can be the result obtained by detecting the cable core according to the preset detection period. This result contains information related to fatigue damage inside the core, such as the location, size, and number of cracks. By analyzing the first detection result, the fatigue degree and remaining life of the core can be evaluated, providing a basis for cable maintenance and replacement.

[0115] Electrical properties can refer to the electrical characteristics exhibited by the cable during the process of transmitting electrical energy, which can include conductivity, insulation performance, and capacitance characteristics, etc. Good electrical properties are the basis for the normal operation of the cable. Any abnormal change in electrical properties may indicate potential faults or safety hazards in the cable. For example, a decrease in insulation resistance may mean that the cable insulation layer is damaged, posing a risk of leakage; an increase in resistance may cause the cable to heat up and reduce the power transmission efficiency.

[0116] The second detection result can be the result obtained by detecting the electrical properties of the cable according to the preset detection period. This result contains the measured values and change situations of various electrical property parameters of the cable. By analyzing the second detection result, it can be judged whether the electrical properties of the cable meet the standard requirements and whether there is a trend of performance deterioration, providing an important basis for cable performance evaluation and fault diagnosis.

[0117] The torsional performance evaluation information can be comprehensive evaluation information about the torsional performance of the cable sample obtained by the evaluation unit based on the first detection result and the second detection result. This information includes the fatigue resistance ability, electrical performance stability, and remaining life prediction of the cable under simulated working conditions. Through the torsional performance evaluation information, the performance status of the cable under torsion and load can be intuitively understood, whether it meets the actual use requirements can be judged, and a scientific basis can be provided for the selection, maintenance, and replacement of the cable.

[0118] This solution is a process of measuring and analyzing the core fatigue and electrical properties of the cable by the core fatigue detection unit and the electrical property detection unit respectively according to the preset detection period, using their respective detection technologies and instruments. During the detection process, the detection unit will collect relevant physical signals and data, and process and analyze them to obtain accurate detection results. For example, the core fatigue detection unit emits ultrasonic waves to the cable core through the ultrasonic detection device, and then receives the reflected ultrasonic wave signals, and analyzes whether there are defects and fatigue damages inside the core according to the changes in the signals. After the core fatigue detection unit and the electrical property detection unit complete the detection operations, the process of obtaining the first detection result and the second detection result through data processing and analysis. Specifically, the collected raw data can be processed such as filtering, amplifying, and digitizing, and professional analysis algorithms and models can be used to interpret and judge the data. For example, the electrical property detection unit analyzes the measured data such as resistance and capacitance to judge whether the electrical properties of the cable are normal, and outputs the analysis result as the second detection result. The process in which the evaluation unit comprehensively evaluates the torsional performance of the cable sample according to the first detection result and the second detection result, using the comprehensive evaluation algorithm and model, and obtains the torsional performance evaluation information. During the determination process, the evaluation unit will consider the mutual relationship between the core fatigue and the electrical properties, and their influence on the overall performance of the cable. For example, the evaluation unit will predict the remaining life of the cable according to the degree of core fatigue damage and the change trend of the electrical property parameters, and incorporate it into the torsional performance evaluation information.

[0119] In this technical solution, by comprehensively detecting the cable according to the preset detection period by the core fatigue detection unit and the electrical property detection unit, the fatigue damage of the cable core and the change of the electrical properties can be found in time. The evaluation unit comprehensively evaluates the torsional performance of the cable according to the detection results, and provides accurate and detailed torsional performance evaluation information. This helps to discover in advance the possible problems that may occur to the cable under torsion and load, and provides a scientific basis for the design optimization, quality control, and operation and maintenance of the cable. Through regular detection and evaluation, the incidence of cable faults can be effectively reduced, the safety of the wind power generation system can be improved, and at the same time, the service life of the cable can be extended and the operation cost can be reduced.

[0120] Based on the above embodiments, optionally, the wire core fatigue detection unit is specifically configured to:

[0121] Adopt an acoustic emission detection mechanism to emit acoustic wave signals to the wind power cable according to a preset detection period, detect the elastic wave signals generated by wire core fatigue damage, and perform feature analysis on the elastic wave signals to obtain a first detection result;

[0122] The electrical property detection unit is specifically configured to:

[0123] Adopt a high-frequency impedance spectroscopy measurement mechanism to perform real-time measurement of the impedance characteristics of the wind power cable according to a preset detection period, analyze the changes in the impedance spectrum, and obtain a second detection result.

[0124] Among them, the acoustic emission detection mechanism can be a non-destructive testing technology for detecting internal defects of materials based on the principle that elastic waves are generated during material deformation and fracture. In the detection of the wire core of a wind power cable, after emitting acoustic wave signals to the cable, when there is fatigue damage inside the wire core, such as crack propagation, corresponding elastic wave signals will be generated. By detecting and analyzing the characteristics of these elastic wave signals, such as amplitude, frequency, and duration, the type, location, and degree of internal damage of the wire core can be judged.

[0125] The elastic wave signal can be when the wire core of the wind power cable undergoes fatigue damage, the stress state inside the material changes, resulting in small deformations and fractures in local areas, thereby releasing elastic waves. These elastic waves propagate in the material in the form of mechanical waves, and the signals captured by the acoustic emission detection system are the elastic wave signals. It carries important information about the internal damage of the wire core and is the key basis for judging the fatigue degree of the wire core.

[0126] The first detection result can be the result obtained by the wire core fatigue detection unit through feature analysis of the collected elastic wave signals by the acoustic emission detection mechanism. This result contains detailed information about the internal fatigue damage of the wire core, such as the location, size, and development trend of the damage, providing direct data support for evaluating the health status and remaining life of the cable wire core.

[0127] The high-frequency impedance spectroscopy measurement mechanism can be a technology used to measure the relationship between the electrical impedance of a material and frequency. Apply alternating current signals of different frequencies to the wind power cable in the high-frequency range, measure the impedance response of the cable, and obtain the impedance spectrum of the cable. By analyzing the changes in the impedance spectrum, the changes in electrical performance parameters such as the connection situation of the internal conductors of the cable and the performance of the insulating layer can be understood. High-frequency impedance spectroscopy measurement can provide richer information than traditional direct current resistance measurement and more sensitively detect small changes inside the cable.

[0128] The impedance characteristic can refer to the characteristic of a cable's hindrance to current in an alternating current circuit, including parameters such as resistance, capacitance, and inductance. The impedance characteristic of a cable will change with the variation of its internal structure and material properties. For example, the aging of the conductor and the moisture absorption of the insulation layer will both cause changes in the impedance characteristic. By measuring the impedance characteristic of the cable in real time, abnormal electrical properties of the cable can be detected in a timely manner, preventing the occurrence of electrical faults.

[0129] The impedance spectrum can be a curve of the cable's impedance varying with the frequency of the applied alternating current signal. It reflects the electrical characteristics of the cable at different frequencies and contains rich information about the internal structure and material properties of the cable. By analyzing the characteristics such as the shape, peak value, and frequency response of the impedance spectrum, the insulation state of the cable, the conductor connection condition, and whether there are potential fault hazards can be judged.

[0130] The second detection result can be the result obtained after the electrical property detection unit uses the high-frequency impedance spectrum measurement mechanism to measure and analyze the impedance characteristic of the cable in real time. This result shows the changes in the electrical properties of the cable over time and operating conditions, including information such as the change trend of impedance parameters and abnormal fluctuations, which helps to evaluate the stability of the cable's electrical properties and predict potential electrical faults.

[0131] This solution can detect the core fatigue by using the acoustic emission detection mechanism, being able to capture the tiny fatigue damage information inside the core in real time and accurately, realizing the early warning of the health status of the cable core. The high-frequency impedance spectrum measurement mechanism can sensitively monitor the changes in the electrical properties of the cable and detect potential electrical fault hazards in a timely manner. The combination of these two detection mechanisms can comprehensively and meticulously evaluate the performance changes of the wind power cable under torsion and load, improving the accuracy of the evaluation of the cable's anti-torsion performance. It helps to take maintenance measures in advance, avoid the occurrence of cable faults, ensure the stable operation of the wind power generation system, and reduce the maintenance cost and power outage loss.

[0132] Embodiment 4

[0133] Figure 4 It is a schematic flowchart of the method for evaluating the anti-torsion performance of the wind power cable provided in Embodiment 4 of this application. As Figure 4 shown, it specifically includes the following steps:

[0134] S401. Obtain a cable sample of the wind power cable;

[0135] S402. Use a mechanical device with multi-axis torsion function to perform torsion simulation control on the cable sample for simulating the yaw torsion of the wind turbine, the tower torsion, and the torsion of the cable laying shape respectively, where the torsion angle, speed, and period of each axis are controlled.

[0136] S403. Conduct torsional fatigue detection and electrical performance detection on the cable samples, and determine the torsional performance evaluation information of the cable samples of the wind power cable according to the detection results.

[0137] Further, the method further includes:

[0138] Collect the actual torsional parameters of each axis during the actual operation of the wind turbine generator set within the monitoring period through the sensors set on the wind turbine generator set.

[0139] For the technical solution provided in this embodiment, obtain the cable samples of the wind power cable; use a mechanical device with multi-axis torsional function to perform torsional simulation control on the cable samples for simulating yaw torsion, tower torsion, and cable laying shape torsion of the fan respectively, where the torsion angle, speed, and period of each axis are controlled; conduct torsional fatigue detection and electrical performance detection on the cable samples, and determine the torsional performance evaluation information of the cable samples of the wind power cable according to the detection results. This technical solution realizes accurate evaluation of the torsional performance of the wind power cable in actual use by conducting torsional performance tests on the cable samples of the wind power cable, ensures the stable operation of the wind turbine generator set, avoids the influence of the decrease in the torsional performance of the wind power cable on the energy conversion efficiency, and the time and material losses brought by subsequent maintenance and fault inspection, and improves the operation stability of the wind turbine generator set.

[0140] The method for evaluating the torsional performance of the wind power cable provided in the embodiment of the present application corresponds to the device for evaluating the torsional performance of the wind power cable provided in the above embodiment, has the same execution process and beneficial effects, and for the sake of avoiding repetition, it will not be elaborated here.

[0141] Embodiment Five

[0142] As Figure 5 shown, the embodiment of the present application further provides an electronic device 500, including a processor 501, a memory 502, a program or instruction stored on the memory 502 and executable on the processor 501. When the program or instruction is executed by the processor 501, it realizes each process of the above embodiment of the device for evaluating the torsional performance of the wind power cable, and can achieve the same technical effects. For the sake of avoiding repetition, it will not be elaborated here.

[0143] It should be noted that the electronic device in the embodiment of the present application includes the above-mentioned mobile electronic device and non-mobile electronic device.

[0144] Embodiment Six

[0145] The embodiments of the present application further provide a readable storage medium, on which a program or instructions are stored. When the program or instructions are executed by a processor, the various processes of the above-mentioned embodiment of the torsional resistance performance evaluation device for a wind power cable are implemented, and the same technical effects can be achieved. To avoid repetition, details are not described herein again.

[0146] Among them, the processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc, etc.

[0147] Embodiment Seven

[0148] The embodiments of the present application further provide a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run a program or instructions to implement the various processes of the above-mentioned embodiment of the torsional resistance performance evaluation device for a wind power cable, and the same technical effects can be achieved. To avoid repetition, details are not described herein again.

[0149] It should be understood that the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, a system chip, a chip system, or a system-on-chip, etc.

[0150] It should be noted that in this article, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in a reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0151] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation. Based on such an understanding, the technical solution of the present application, in essence or the part that contributes to the prior art, can be embodied in the form of a computer software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present application.

[0152] The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above specific embodiments. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present application, those of ordinary skill in the art can also make many forms without departing from the purpose of the present application and the scope protected by the claims, and all of them belong to the protection scope of the present application.

[0153] The above is only the preferred embodiment of the present application and the technical principles applied. The present application is not limited to the specific embodiments described herein. Various obvious changes, re-adjustments and substitutions that can be made by those skilled in the art will not depart from the protection scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, it can also include more other equivalent embodiments, and the scope of the present application is determined by the scope of the claims.

Claims

1. An anti-torsion performance evaluation device for a wind power generation cable, characterized in that, The device includes: a cable sample acquisition module for acquiring a cable sample of a wind power cable; a simulation control module for performing torsional simulation control on the cable sample by using a mechanical device with multi-axis torsion function to respectively simulate yaw torsion of a wind turbine, tower torsion, and cable laying shape torsion, including controlling the torsion angle, speed, and period of each axis; a detection module for performing torsional fatigue detection and electrical performance detection on the cable sample, and determining torsional resistance performance evaluation information of the cable sample of the wind power cable according to the detection results.

2. The torsional resistance performance evaluation device for a wind power generation cable according to claim 1, characterized in that, The device further includes: a torsion parameter acquisition module for acquiring actual torsion parameters of each axis during the actual operation of the wind turbine generator set within a monitoring period through sensors arranged on the wind turbine generator set.

3. The torsional resistance performance evaluation device for a wind power cable according to claim 2, characterized in that The simulation control module includes: a torsion parameter determination unit for determining simulated torsion parameters of yaw torsion of the wind turbine, tower torsion, and cable laying shape torsion for simulating the cable sample according to the actual torsion parameters; a simulation control unit for performing simulation control according to the simulated torsion parameters of yaw torsion of the wind turbine, the simulated torsion parameters of tower torsion, and the simulated torsion parameters of cable laying shape torsion.

4. The torsional resistance performance evaluation device for a wind power cable according to claim 3, characterized in that, The simulation control unit is further used for: determining time synchronization parameters of the simulation control; synchronously or asynchronously controlling the simulated torsion parameters of yaw torsion of the wind turbine, the simulated torsion parameters of tower torsion, and the simulated torsion parameters of cable laying shape torsion according to the time synchronization parameters.

5. The torsional resistance performance evaluation device for a wind power cable according to claim 1, characterized in that, The device further includes: a load information acquisition module for acquiring load information of the wind power cable during actual operation; the simulation control module is further used for determining a simulated load of the cable sample according to the load information to apply the simulated load while performing torsional simulation control on the cable sample.

6. The torsional resistance performance evaluation device for a wind power cable according to claim 1, characterized in that, The detection module includes: a core fatigue detection unit for detecting the core fatigue of the wind power cable according to a preset detection period and obtaining a first detection result; an electrical performance detection unit for detecting the electrical performance of the wind power cable according to a preset detection period and obtaining a second detection result; an evaluation unit for determining the torsional resistance performance evaluation information of the cable sample according to the first detection result and the second detection result.

7. The torsional resistance performance evaluation device for a wind power cable according to claim 6, characterized in that, The core fatigue detection unit is specifically used for: using an acoustic emission detection mechanism to emit acoustic wave signals to the wind power cable according to a preset detection period, detecting elastic wave signals generated by core fatigue damage, and performing feature analysis on the elastic wave signals to obtain a first detection result; The electrical performance detection unit is specifically used for: using a high-frequency impedance spectrum measurement mechanism to perform real-time measurement of the impedance characteristics of the wind power cable according to a preset detection period, and analyzing the change of the impedance spectrum to obtain a second detection result.

8. A method for evaluating the torsional resistance performance of a wind power generation cable, characterized in that, The method includes: acquiring a cable sample of a wind power cable; A mechanical device with multi-axis torsion function is used to perform torsion simulation control on the cable samples respectively for simulating the yaw torsion of the fan, the tower torsion and the cable laying shape torsion, including controlling the torsion angle, speed and period of each axis. Torsion fatigue detection and electrical performance detection are carried out on the cable samples, and the anti-torsion performance evaluation information of the cable samples of the wind power cable is determined according to the detection results.

9. The method for evaluating the torsional resistance performance of a wind power cable according to claim 8, characterized in that, The method further includes: Collecting the actual torsion parameters of each axis during the actual operation of the wind turbine generator set within the monitoring period through sensors arranged on the wind turbine generator set.

10. An electronic device, characterized in that, It includes a processor, a memory, and a program or instruction stored on the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the anti-torsion performance evaluation method of the wind power cable as described in any one of claims 8-9 are implemented.

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