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 sample acquisition module used for acquiring a cable sample of a wind power generation cable; the torsion simulation module is used for twisting the cable sample through a multi-axis torsion mechanical device so as to simulate multi-direction torsion stress applied to the wind power generation cable; and the detection and evaluation module is used for carrying out torsional fatigue detection and electrical performance detection on the cable sample so as to identify whether the cable sample has insulation damage abnormity and / or electrical performance abnormity, and a torsional performance evaluation result of the wind power generation cable is obtained. According to the technical scheme, the cable sample is twisted through the multi-axis torsion mechanical device to simulate the multi-direction torsion stress applied to the wind power generation cable, the cable sample is detected, the actual working condition of the wind power generation cable can be comprehensively considered, and comprehensive, accurate and innovative torsion resistance evaluation of the wind power generation cable is achieved.

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 torsional resistance performance of a wind power cable. Background Art

[0002] Wind power cables play a crucial role in power transmission and signal transmission in wind power systems. During the operation of a wind turbine, the wind power cable will face complex torsional situations.

[0003] Firstly, there is the yaw of the wind turbine. In order to capture wind energy to the greatest extent, the wind turbine needs to adjust its own direction in real time according to the change of wind direction. The rotation of the wind turbine will directly drive the wind power cable connected to it to twist. Due to the complex and changeable wind direction and the frequent yaw of the wind turbine, the wind power cable repeatedly bears torsional forces. Secondly, under the action of strong winds, the tower may undergo a certain degree of torsion. As the main structure supporting the wind turbine and the wind power cable, the torsion of the tower will be transmitted to the wind power cable connected to it, further increasing the torsional stress it bears. Moreover, due to the different terrain conditions of wind farms and the actual requirements of wind turbine layout and installation, the cable laying shape of wind power cables is often not regular and straight, but presents diverse curve or broken line forms. This irregular laying shape will change the stress distribution of the wind power cable during torsion, making the torsional forces borne by some parts more concentrated.

[0004] Therefore, for wind power cables, the torsional resistance performance is undoubtedly a crucial indicator. Good torsional resistance performance can ensure that the wind power cable still maintains the stability of its electrical performance under the long-term action of complex torsional stresses. Correspondingly, how to comprehensively consider the actual working conditions of wind power cables and achieve a comprehensive and accurate evaluation of torsional resistance performance is an urgent problem for those in this field to solve. Summary of the Invention

[0005] The embodiments of this application provide a device, method and equipment for evaluating the torsional resistance performance of a wind power cable, aiming to comprehensively consider the actual working conditions of the wind power cable and achieve a comprehensive, accurate and innovative evaluation of the torsional resistance performance of the wind power cable.

[0006] In a first aspect, the embodiments of this application provide a device for evaluating the torsional resistance performance of a wind power cable, and the device includes:

[0007] A sample acquisition module, configured to acquire a cable sample of the wind power cable;

[0008] A torsion simulation module, configured to twist the cable sample through a multi-axis torsion mechanical device to simulate multi-directional torsional stresses applied to the wind power cable; wherein, the multi-directional torsional stresses are caused by at least one of the factors of wind turbine yaw, tower torsion, and cable laying shape;

[0009] A detection and evaluation module is used to perform torsional fatigue detection and electrical performance detection on the cable sample to identify whether there are abnormal insulation breakage and / or abnormal electrical performance in the cable sample, and obtain the torsional performance evaluation result of the wind power cable.

[0010] In a second aspect, an embodiment of the present application provides a method for evaluating the torsional performance of a wind power cable, and the method includes:

[0011] Obtain a cable sample of the wind power cable through a sample acquisition module;

[0012] Twist the cable sample through a multi-axis torsion mechanical device by a torsion simulation module to simulate the multi-directional torsional stress applied to the wind power cable; wherein, the multi-directional torsional stress is caused by at least one of factors such as wind turbine yaw, tower torsion, and cable laying shape;

[0013] Perform torsional fatigue detection and electrical performance detection on the cable sample through the detection and evaluation module to identify whether there are abnormal insulation breakage and / or abnormal electrical performance in the cable sample, and obtain the torsional performance evaluation result of the wind power cable.

[0014] 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.

[0015] In an embodiment of the present application, a sample acquisition module is used to obtain a cable sample of the wind power cable; a torsion simulation module is used to twist the cable sample through a multi-axis torsion mechanical device to simulate the multi-directional torsional stress applied to the wind power cable; wherein, the multi-directional torsional stress is caused by at least one of factors such as wind turbine yaw, tower torsion, and cable laying shape; a detection and evaluation module is used to perform torsional fatigue detection and electrical performance detection on the cable sample to identify whether there are abnormal insulation breakage and / or abnormal electrical performance in the cable sample, and obtain the torsional performance evaluation result of the wind power cable. The above-mentioned device for evaluating the torsional performance of the wind power cable twists the cable sample through a multi-axis torsion mechanical device to simulate the multi-directional torsional stress applied to the wind power cable, and performs detection on the cable sample, so as to comprehensively consider the actual working conditions of the wind power cable and realize a comprehensive, accurate and innovative evaluation of the torsional performance of the wind power cable. Description of the Drawings

[0016] Figure 1 It is a schematic structural diagram of a device for evaluating the torsional performance of a wind power cable provided in Embodiment 1 of the present application;

[0017] Figure 2 It is a schematic structural diagram of a torsional resistance performance evaluation device for a wind power generation cable provided in the second embodiment of the present application;

[0018] Figure 3 It is a schematic structural diagram of a torsional resistance performance evaluation device for a wind power generation cable provided in the third embodiment of the present application;

[0019] Figure 4 It is a schematic flowchart of a method for evaluating the torsional resistance performance of a wind power generation cable provided in the fourth embodiment of the present application;

[0020] Figure 5 It is a schematic structural diagram of an electronic device provided in the fifth embodiment of the present application. Detailed implementation manners

[0021] In order to make the objectives, technical solutions, and advantages of the present application clearer, the following further describes the specific embodiments of the present application in detail with reference to the accompanying drawings. It can be understood that the specific embodiments described herein are only for explaining the present application and are not intended to limit the present application. Additionally, it should be noted that for the sake of convenience of description, only parts related to the present application are shown in the accompanying drawings rather than all the content. 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. When the operations are completed, the process can be terminated, but there can also be additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, and so on.

[0022] The following will clearly describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application belong to the scope of protection of the present application.

[0023] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0024] In the following, in conjunction with the accompanying drawings, the torsional performance evaluation device, method and equipment for wind power generation cables provided in the embodiments of the present application are described in detail through specific embodiments and their application scenarios.

[0025] Embodiment 1

[0026] Figure 1 Schematic diagram of the structure of the torsion performance evaluation device for wind power cable provided in the first embodiment of the present application. Figure 1 As shown, the device comprises:

[0027] The sample acquisition module 110 is used to acquire a cable sample of a wind power cable;

[0028] A torsion simulation module 120, for torsioning the cable sample by a multi-axis torsion mechanical device to simulate the multi-directional torsion stress applied to the wind power cable; wherein the multi-directional torsion stress is caused by at least one of the factors of wind turbine yaw, tower torsion and cable laying shape;

[0029] The detection and evaluation module 130 is used to perform torsional fatigue detection and electrical performance detection on the cable sample to identify whether the cable sample has abnormal insulation damage and / or abnormal electrical performance, and obtain the torsional performance evaluation result of the wind power generation cable.

[0030] This application is applicable to scenarios where cables are installed in wind power generation systems. Specifically, the torsional fatigue detection and electrical performance detection and the determination of the torsional performance evaluation results of wind power cables can be performed by intelligent terminal devices. According to the torsional performance evaluation results of wind power cables, the staff can take corresponding maintenance measures for the wind power cables to ensure the normal and safe operation of the wind power generation system.

[0031] Based on the above usage scenarios, it can be understood that the executor of the present application can be a smart terminal device, such as a desktop computer, a laptop computer, a mobile phone, a tablet computer, and interactive multimedia, etc., and no excessive limitations are made here.

[0032] A sample acquisition module 110 for acquiring a cable sample of a wind power cable.

[0033] A cable is a device used to transmit electricity or signals. A wind power cable is a special cable used to transmit electrical energy in a wind power system. Among them, a wind power system can refer to a device system that can convert wind energy into electrical energy, generally consisting of a wind turbine, a generator, a converter, a control system, a tower, and other auxiliary equipment.

[0034] In this solution, the wind power cable can specifically refer to the cable connected to the wind turbine in the wind power system. Among them, a wind turbine can be a device that converts wind energy into mechanical energy and then converts the mechanical energy into electrical energy.

[0035] The cable sample of the wind power cable can be used for various performance tests and analyses, and its performance can represent the performance of the wind power cable operating in the wind power system. The method of obtaining the cable sample of the wind power cable can be to select and intercept a preset length of the wind power cable from the same batch of wind power cables as the cable sample.

[0036] A torsion simulation module 120 for twisting the cable sample through a multi-axis torsion mechanical device to simulate the multi-directional torsion stress applied to the wind power cable.

[0037] A multi-axis torsion mechanical device can be a device that can apply complex torsion stress to a multi-axis cable. Among them, a multi-axis cable can refer to a cable including at least three independent axis structures.

[0038] Multi-directional torsion stress can refer to the torsion stress applied to the wind power cable from multiple different directions at the same time. Among them, torsion stress can be a force that causes an object to rotate around a specific axis or have a tendency to rotate.

[0039] The multi-directional torsion stress applied to the wind power cable can be caused by factors such as wind turbine yaw, tower torsion, and cable laying shape. Specifically, wind turbine yaw can refer to the situation where the wind turbine nacelle rotates around the tower center line to adjust the wind wheel direction so that it always faces the wind direction to capture wind energy to the greatest extent; tower torsion can refer to the torsion movement of the tower around its own vertical axis under various external forces; the cable laying shape can refer to the cable laying path and bending form adopted according to factors such as terrain, building distribution, and electrical connection requirements.

[0040] The cable sample is twisted by a multi-axis torsion mechanical device in a way that simulates the multi-directional torsional stress applied to the wind power cable. The cable sample can be twisted according to a preset torsion angle range and a preset torsion frequency to simulate the multi-directional torsional stress caused by the yaw factor of the wind turbine. A random angular displacement perturbation within a preset perturbation angle range is superimposed according to the preset torsion frequency to simulate the multi-directional torsional stress caused by the tower torsion factor. A constant bias torque is applied to the cable sample to simulate the multi-directional torsional stress caused by the cable laying shape factor.

[0041] The detection and evaluation module 130 is used to perform torsional fatigue detection and electrical performance detection on the cable sample to identify whether there are any abnormalities in insulation breakage and / or electrical performance of the cable sample, and obtain the anti-torsion performance evaluation result of the wind power cable.

[0042] The torsional fatigue detection can be a detection for determining whether there are any abnormalities in insulation breakage of the cable sample. Among them, the abnormality in insulation breakage can refer to situations such as rupture and damage of the insulation layer of the cable sample. To perform torsional fatigue detection on the cable sample to identify whether there are any abnormalities in insulation breakage, the method can be to obtain the visible light image data and infrared image data of the cable sample, and identify whether there are any abnormalities in insulation breakage based on the visible light image data and infrared image data.

[0043] The electrical performance detection can be a detection for determining whether there are any abnormalities in the electrical performance of the cable sample. Among them, the abnormality in electrical performance can refer to the situation where the electrical performance index of the cable sample deviates from the normal range or standard value. To perform electrical performance detection on the cable sample to identify whether there are any abnormalities in the electrical performance, the method can be to obtain the electrical performance data of the cable sample, and identify whether there are any abnormalities in the electrical performance based on the electrical performance data.

[0044] The anti-torsion performance evaluation result can be a comprehensive evaluation of the ability of the wind power cable to resist multi-directional torsional stress based on the analysis of the abnormality in insulation breakage and / or electrical performance. To obtain the anti-torsion performance evaluation result of the wind power cable, the method can be to determine the anti-torsion performance evaluation result of the wind power cable according to the number of abnormalities in insulation breakage and the degree of deviation of the electrical performance abnormality from the normal range or standard value.

[0045] In the example of this application, a sample acquisition module is used to acquire a cable sample of a wind power cable; a torsional simulation module is used to twist the cable sample through a multi-axis torsional mechanical device to simulate multi-directional torsional stresses applied to the wind power cable, where the multi-directional torsional stresses are caused by at least one of factors such as wind turbine yaw, tower torsion, and cable laying shape; a detection and evaluation module is used to perform torsional fatigue detection and electrical property detection on the cable sample to identify whether there are abnormal insulation breakages and / or abnormal electrical properties in the cable sample, and obtain an evaluation result of the anti-torsion performance of the wind power cable. In this technical solution, by twisting the cable sample through a multi-axis torsional mechanical device to simulate multi-directional torsional stresses applied to the wind power cable and detecting the cable sample, the actual working conditions of the wind power cable can be comprehensively considered to achieve a comprehensive, accurate, and innovative evaluation of the anti-torsion performance of the wind power cable.

[0046] Embodiment 2

[0047] Figure 2 FIG. is a schematic structural diagram of an anti-torsion performance evaluation device for a wind power cable provided in Embodiment 2 of this application. This solution makes a better improvement on the basis of the above embodiment. The specific improvement is that the torsional simulation module includes: a first torsional unit for twisting the cable sample according to a preset torsional angle range and a preset torsional frequency to simulate multi-directional torsional stresses caused by the wind turbine yaw factor; a second torsional unit for superimposing a random angular displacement perturbation within a preset perturbation angle range according to the preset torsional frequency to simulate multi-directional torsional stresses caused by the tower torsion factor; a third torsional unit for applying a constant bias torque to the cable sample to simulate multi-directional torsional stresses caused by the cable laying shape factor.

[0048] As Figure 2 shown, the device includes:

[0049] A sample acquisition module 210 for acquiring a cable sample of a wind power cable;

[0050] A torsional simulation module 220 for twisting the cable sample through a multi-axis torsional mechanical device to simulate multi-directional torsional stresses applied to the wind power cable, where the multi-directional torsional stresses are caused by at least one of factors such as wind turbine yaw, tower torsion, and cable laying shape;

[0051] A detection and evaluation module 230 for performing torsional fatigue detection and electrical property detection on the cable sample to identify whether there are abnormal insulation breakages and / or abnormal electrical properties in the cable sample, and obtaining an evaluation result of the anti-torsion performance of the wind power cable.

[0052] Wherein, the torsional simulation module 220 includes:

[0053] A first torsion unit 2201 for twisting the cable sample according to a preset torsion angle range and a preset torsion frequency to simulate multi-directional torsion stresses caused by the yaw factor of the wind turbine.

[0054] A second torsion unit 2202 for superimposing random angular displacement perturbations within a preset perturbation angle range according to the preset torsion frequency to simulate multi-directional torsion stresses caused by the tower torsion factor.

[0055] A third torsion unit 2203 for applying a constant bias torque to the cable sample to simulate multi-directional torsion stresses caused by the cable laying shape factor.

[0056] The preset torsion angle range can be a preset angle interval, which defines the variation limit of the torsion action in terms of angle. The preset torsion frequency can be the number of repetitions of the torsion action within a preset unit of time, which defines the speed of repetition of the torsion action. The method of twisting the cable sample according to the preset torsion angle range and the preset torsion frequency can be to precisely control the operation of the servo motor through a preset program, so that the servo motor outputs a corresponding rotational speed according to the preset torsion frequency, and the rotation of the servo motor is transmitted to the cable sample through a transmission mechanism. At the same time, an angle sensor monitors the torsion angle of the cable sample in real time. Once the torsion angle exceeds or does not reach the preset torsion angle range, the operation of the servo motor is quickly adjusted to ensure that the cable sample always twists within the preset torsion angle range according to the preset torsion frequency to simulate multi-directional torsion stresses caused by the yaw factor of the wind turbine.

[0057] In this technical solution, optionally, the first torsion unit is specifically used for:

[0058] Obtaining the yaw angle range of the wind turbine and determining the yaw angle range as the preset torsion angle range;

[0059] Obtaining the wind direction change frequency at the location of the wind turbine and determining the wind direction change frequency as the preset torsion frequency;

[0060] Twisting the cable sample according to the preset torsion angle range and the preset torsion frequency to simulate multi-directional torsion stresses caused by the yaw factor of the wind turbine.

[0061] The yaw angle range of the wind turbine can refer to the maximum angle interval within which the wind turbine can rotate around the vertical axis. The yaw angle range of the wind turbine can be obtained by referring to instruction documents such as the technical manual, product specification, or design document of the wind turbine.

[0062] The wind direction change frequency at the location of the wind turbine can refer to the number of wind direction changes per unit time at the location of the wind turbine. The wind direction change frequency at the location of the wind turbine can be obtained by statistically analyzing the collected data of the wind direction sensor.

[0063] In this technical solution, optionally, the first torsion unit is further configured to:

[0064] Obtain the mechanical load information of the wind turbine and the wind speed data at the location of the wind turbine, and determine the yaw response accuracy of the wind turbine according to the mechanical load information and the wind speed data;

[0065] Determine a preset torsion frequency according to the wind direction change frequency and the yaw response accuracy.

[0066] The mechanical load information of the wind turbine can refer to a set of data related to various mechanical forces and resistances borne by the wind turbine during operation. The mechanical load information of the wind turbine can be obtained by referring to instruction documents such as the technical manual, product specification, or design document of the wind turbine.

[0067] The wind speed data at the location of the wind turbine can be a physical quantity used to describe the speed of air flow at the location of the wind turbine. The method of obtaining the wind speed data at the location of the wind turbine can be to collect it through an anemometer installed at the location of the wind turbine.

[0068] The yaw response accuracy of the wind turbine can be used to describe the ability of the wind turbine to accurately adjust the wind turbine to the optimal windward angle after detecting a wind direction change. The method of determining the yaw response accuracy of the wind turbine according to the mechanical load information and the wind speed data can be to calculate the aerodynamic torque and the frictional torque according to the mechanical load information and the wind speed data, calculate the yaw resultant torque according to the aerodynamic torque and the frictional torque, calculate the yaw angular acceleration and the yaw adjustment time according to the yaw resultant torque, and calculate the yaw response accuracy of the wind turbine according to the yaw angular acceleration and the yaw adjustment time.

[0069] The following is an example code for determining the yaw response accuracy of a wind turbine according to mechanical load information and wind speed data:

[0070]

[0071]

[0072] S = 50 # Aerodynamic torque coefficient

[0073] Cm = 0.2 # Distance from the point of action of the aerodynamic force to the yaw axis (m)

[0074] r = 2 # Frictional torque (N·m)

[0075] Mf = 100 # Moment of inertia (kg·m^2)

[0076] J = 500 # Target yaw angle (rad)

[0077] theta_target = math.radians(30) # Actual yaw angle (rad), assuming a value here, need to measure in reality

[0078] theta_actual = math.radians(29)

[0079] # Calculate aerodynamic moment

[0080] Ma = calculate_aerodynamic_moment(v, rho, S, Cm, r) # Calculate total yaw moment

[0081] M_total = calculate_total_yaw_moment(Ma, Mf) # Calculate yaw angular acceleration

[0082] alpha = calculate_yaw_angular_acceleration(M_total, J) # Calculate yaw adjustment time

[0083] t = calculate_yaw_adjustment_time(theta_target, alpha) # Calculate yaw response accuracy

[0084] accuracy = calculate_yaw_response_accuracy(theta_target, theta_actual)

[0085] print(f"Aerodynamic moment: {Ma:.2f} N·m")

[0086] print(f"Total yaw moment: {M_total:.2f} N·m")

[0087] print(f"Yaw angular acceleration: {alpha:.4f} rad / s^2")

[0088] print(f"Yaw adjustment time: {t:.2f} s")

[0089] print(f"Yaw response accuracy: {accuracy:.2f}%")

[0090] The method for determining the preset torsional frequency according to the wind direction change frequency and the yaw response accuracy can be to multiply the wind direction change frequency by the yaw response accuracy to obtain the preset torsional frequency.

[0091] The advantage of this solution is that by determining the yaw response accuracy of the wind turbine according to the mechanical load information and wind speed data of the wind turbine, and determining the preset torsional frequency according to the wind direction change frequency and the yaw response accuracy, the torsional frequency of the wind power cable under actual working conditions can be highly restored, avoiding simulation deviation caused by simple estimation or empirical setting.

[0092] The advantage of this solution is that by determining the yawable angle range of the wind turbine as the preset torsional angle range and determining the wind direction change frequency at the location of the wind turbine as the preset torsional frequency, the multi-directional torsional stress caused by the yaw factor of the wind turbine can be highly realistically simulated, making the stress condition of the cable sample almost the same as the torsional stress suffered by the actual wind power cable due to the yaw of the wind turbine.

[0093] The preset disturbance angle range can be an angle interval of displacement disturbance superimposed on the basis of the preset torsional frequency. Displacement disturbance can refer to the additional, irregular or non-regular displacement change applied on the basis of the original motion or position state of an object. The method of superimposing the random angular displacement disturbance of the preset disturbance angle range according to the preset torsional frequency can be to generate a series of random angular values according to the preset disturbance angle range by means of a random number generation algorithm, and at the same time accurately control the basic torsional action according to the preset torsional frequency, and then load a series of random angular values in real time, and dynamically adjust the actuators such as servo motors through the controller, so as to superimpose the random angular displacement disturbance on the basic torsional motion to simulate the multi-directional torsional stress caused by the tower torsion factor.

[0094] The constant bias torque can refer to the torque that continuously acts on a mechanical system or component and remains unchanged in magnitude and direction. The method of applying the constant bias torque to the cable sample can be to control the magnetic powder brake to output a torque value consistent with the constant bias torque to simulate the multi-directional torsional stress caused by the cable laying shape factor.

[0095] In this technical solution, optionally, the third torsion unit is specifically used for:

[0096] Obtain the tower heights and tower spacings on both sides of the wind power cable;

[0097] Determine the laying curvature of the wind power cable according to the tower height and the tower spacing, and determine the constant bias torque according to the laying curvature;

[0098] Apply a constant bias torque to the cable sample to simulate the multi-directional torsional stress caused by the cable laying shape factor.

[0099] The tower heights on both sides of the wind power cable can refer to the vertical distances from the ground to the top of each of the two towers supporting the wind power cable. The tower spacing can refer to the horizontal distance between the two towers supporting the wind power cable. The way to obtain the tower heights on both sides of the wind power cable and the tower spacing can be achieved by collecting through a total station and a distance measuring wheel.

[0100] The laying curvature of the wind power cable can be a physical quantity used to describe the degree of bending of the wind power cable during the laying process. The way to determine the laying curvature of the wind power cable based on the tower height and the tower spacing can be to calculate the laying curvature of the wind power cable based on the catenary theory according to the tower height and the tower spacing.

[0101] The following is an example code for determining the laying curvature of the wind power cable based on the tower height and the tower spacing:

[0102]

[0103]

[0104]

[0105] The way to determine the constant bias torque based on the laying curvature can be to determine the elastic modulus of the wind power cable according to the physical parameters of the wind power cable, determine the bending stress of the wind power cable based on the laying curvature and the elastic modulus, and determine the constant bias torque based on the bending stress of the wind power cable.

[0106] The advantage of this solution is that by determining the laying curvature of the wind power cable based on the tower heights on both sides of the wind power cable and the tower spacing, and determining the constant bias torque based on the laying curvature, the complex stress conditions borne by the wind power cable in the actual laying scenario can be highly restored.

[0107] The advantage of this solution is that by twisting the cable sample according to the preset torsional angle range and the preset torsional frequency, superimposing the random angular displacement perturbation of the preset perturbation angle range according to the preset torsional frequency, and applying a constant bias torque to the cable sample, the multi-directional torsional stress caused by the wind turbine yaw factor, the tower torsion factor, and the cable laying shape factor can be simulated, so as to more truly and comprehensively reproduce the stress conditions of the wind power cable during actual operation.

[0108] Example 3

[0109] Figure 3It is a schematic structural diagram of a device for evaluating the torsional resistance performance of a wind power cable provided in Embodiment 3 of the present application. This solution makes a better improvement on the basis of the above-mentioned embodiments. The specific improvement is as follows: The detection and evaluation module includes: a torsional fatigue detection unit, which is used to obtain visible light image data and infrared image data of the cable sample, and identify whether there is an abnormal insulation breakage in the cable sample according to the visible light image data and the infrared image data; an electrical performance detection unit, which is used to obtain electrical performance data of the cable sample, and identify whether there is an abnormal electrical performance in the cable sample according to the electrical performance data; wherein, the electrical performance data includes current data, voltage data, and capacitance data between the shielding layer and the conductor; an evaluation result determination unit, which is used to determine the evaluation result of the torsional resistance performance of the wind power cable according to the abnormal insulation breakage and / or the abnormal electrical performance when it is identified that there is an abnormal insulation breakage and / or an abnormal electrical performance in the cable sample.

[0110] As Figure 3 shown, the device includes:

[0111] A sample acquisition module 310, which is used to acquire a cable sample of a wind power cable;

[0112] A torsional simulation module 320, which is used to twist the cable sample through a multi-axis torsional mechanical device to simulate the multi-directional torsional stress applied to the wind power cable; wherein, the multi-directional torsional stress is caused by at least one of factors such as wind turbine yaw, tower torsion, and cable laying shape;

[0113] A detection and evaluation module 330, which is used to perform torsional fatigue detection and electrical performance detection on the cable sample to identify whether there is an abnormal insulation breakage and / or an abnormal electrical performance in the cable sample, and obtain the evaluation result of the torsional resistance performance of the wind power cable.

[0114] Among them, the detection and evaluation module 330 includes:

[0115] A torsional fatigue detection unit 3301, which is used to obtain visible light image data and infrared image data of the cable sample, and identify whether there is an abnormal insulation breakage in the cable sample according to the visible light image data and the infrared image data;

[0116] An electrical performance detection unit 3302, which is used to obtain electrical performance data of the cable sample, and identify whether there is an abnormal electrical performance in the cable sample according to the electrical performance data; wherein, the electrical performance data includes current data, voltage data, and capacitance data between the shielding layer and the conductor;

[0117] An evaluation result determination unit 3303, configured to determine an anti-torsion performance evaluation result of the wind power cable according to the insulation breakage abnormality and / or the electrical performance abnormality when it is identified that the cable sample has an insulation breakage abnormality and / or an electrical performance abnormality.

[0118] Visible light image data is an image formed by the reflection or transmission of light in the visible light band by an object. The visible light image data can be collected by a high-definition camera. A high-definition camera is a camera device capable of capturing high-resolution images and videos, and has excellent performance in terms of image clarity, detail restoration, etc.

[0119] Infrared image data can be an image showing the temperature distribution and thermal characteristics of the surface of an object. The infrared image data can be collected by an infrared camera. Among them, an infrared camera is a device that uses infrared imaging technology to capture and record images.

[0120] The method of identifying whether there is an insulation breakage abnormality in the cable sample according to the visible light image data and the infrared image data can be to pre-train a insulation breakage abnormality recognition model using the visible light image data of a large number of wind power cables with insulation breakage abnormalities. By inputting the current visible light image data into the insulation breakage abnormality recognition model, the insulation breakage abnormality recognition model outputs the pixel positions where there may be insulation breakage abnormalities in the visible light image data. According to the infrared image data, it is identified whether the temperature at the pixel positions exceeds the temperature threshold, and the position of the wind power cable corresponding to the pixel positions whose temperature exceeds the preset temperature threshold is determined to have an insulation breakage abnormality.

[0121] Electrical performance data can be physical quantities used to describe the characteristics and performance of electrical equipment or materials in terms of electricity. In this solution, the electrical performance data can include current data, voltage data, and capacitance data between the shielding layer and the conductor. Specifically, the current data can refer to the amount of electric charge passing through the cross-section of the conductor per unit time, and the current data can be collected by a current transformer; the voltage data can be a physical quantity that measures the energy difference generated by a unit charge due to different electric potentials in an electrostatic field, and the voltage data can be collected by a voltage sensor; the capacitance data can refer to the storage amount of free charges under a given potential difference. For a wind power cable, a structure similar to a capacitor is formed between the shielding layer and the conductor, and its capacitance data reflects the ability of the two to store charges. The capacitance data between the shielding layer and the conductor can be collected based on the bridge method.

[0122] A method for identifying whether there is an electrical performance anomaly in a cable sample based on electrical performance data may include determining the current fluctuation amplitude according to the current data, determining the tangent value of the dielectric loss angle according to the current data and the voltage data, determining the capacitance offset according to the capacitance data and a preset capacitance reference, and identifying whether there is an electrical performance anomaly in the cable sample based on the current fluctuation amplitude, the tangent value of the dielectric loss angle, and the capacitance offset.

[0123] In this technical solution, optionally, the electrical performance detection unit is specifically configured to:

[0124] Obtain the electrical performance data of the cable sample; wherein, the electrical performance data includes current data, voltage data, and capacitance data between the shield layer and the conductor;

[0125] Determine the current fluctuation amplitude according to the current data, determine the tangent value of the dielectric loss angle according to the current data and the voltage data, and determine the capacitance offset according to the capacitance data and a preset capacitance reference;

[0126] Identify whether there is an electrical performance anomaly in the cable sample based on the current fluctuation amplitude, the tangent value of the dielectric loss angle, and the capacitance offset.

[0127] The current fluctuation amplitude may refer to the maximum change amplitude of the current data deviating from its stable value within a certain time range. The current fluctuation amplitude can be directly obtained by statistical analysis of the current data.

[0128] Under the action of an alternating voltage, the dielectric will generate energy loss, which is due to the polarization, relaxation, etc. of the molecules or ions inside the dielectric under the action of the alternating electric field, and a part of the electrical energy is converted into heat energy and consumed. The tangent value of the dielectric loss angle is a physical quantity used to measure the degree of electrical energy loss of the dielectric in the alternating electric field. The method for determining the tangent value of the dielectric loss angle according to the current data and the voltage data may include calculating the phase difference between the current data and the voltage data, and calculating the tangent value of the dielectric loss angle according to the phase difference.

[0129] The preset capacitance reference may be a preset capacitance value as a reference standard. The capacitance offset may refer to the difference between the actually measured capacitance data and the preset capacitance reference.

[0130] The method for identifying whether there is an electrical performance anomaly in the cable sample based on the current fluctuation amplitude, the tangent value of the dielectric loss angle, and the capacitance offset may include calculating the differences between the current fluctuation amplitude, the tangent value of the dielectric loss angle, and the capacitance offset and their corresponding reference values. If there is a difference exceeding the corresponding preset threshold, it is identified that there is an electrical performance anomaly in the cable sample.

[0131] The advantage of this solution is that by determining the current fluctuation amplitude based on the current data, determining the tangent value of the dielectric loss angle based on the current data and the voltage data, determining the capacitance offset based on the capacitance data and the preset capacitance reference, and then identifying whether there is an abnormal electrical performance in the cable sample according to the current fluctuation amplitude, the tangent value of the dielectric loss angle, and the capacitance offset, the electrical performance state of the cable sample can be analyzed multi-dimensionally and accurately, and potential electrical fault hazards can be detected in a timely and accurate manner.

[0132] The advantage of this solution is that by identifying whether there is an abnormal insulation breakage in the cable sample based on the visible light image data and the infrared image data, an efficient, accurate and comprehensive detection of the abnormal insulation breakage can be achieved.

[0133] Embodiment 4

[0134] Figure 4 is a schematic flow chart of the method for evaluating the anti-torsion performance of a wind power cable provided in Embodiment 4 of the present application. As Figure 4 shown, the specific steps are as follows:

[0135] S401. Obtain a cable sample of the wind power cable through a sample acquisition module;

[0136] S402. Twist the cable sample through a multi-axis torsion mechanical device by a torsion simulation module to simulate the multi-directional torsion stress applied to the wind power cable; wherein, the multi-directional torsion stress is caused by at least one of factors such as wind turbine yaw, tower torsion, and cable laying shape;

[0137] S403. Perform torsion fatigue detection and electrical performance detection on the cable sample through a detection and evaluation module to identify whether there is an abnormal insulation breakage and / or abnormal electrical performance in the cable sample, and obtain the evaluation result of the anti-torsion performance of the wind power cable.

[0138] In the embodiment of the present application, a cable sample of a wind power cable is obtained through a sample acquisition module; the cable sample is twisted by a multi-axis torsion mechanical device through a torsion simulation module to simulate multi-directional torsion stress applied to the wind power cable; wherein, the multi-directional torsion stress is caused by at least one of factors such as wind turbine yaw, tower torsion, and cable laying shape; the cable sample is subjected to torsion fatigue detection and electrical property detection through a detection and evaluation module to identify whether there is abnormal insulation breakage and / or abnormal electrical properties in the cable sample, and an anti-torsion performance evaluation result of the wind power cable is obtained. For the above anti-torsion performance evaluation method of the wind power cable, the cable sample is twisted by a multi-axis torsion mechanical device to simulate multi-directional torsion stress applied to the wind power cable, and the cable sample is detected, so that the actual working conditions of the wind power cable can be comprehensively considered, and a comprehensive, accurate and innovative anti-torsion performance evaluation of the wind power cable can be realized.

[0139] The anti-torsion performance evaluation method of the wind power cable provided by the embodiment of the present application corresponds to the anti-torsion performance evaluation device of the wind power cable provided by the above embodiment, has the same functional modules and beneficial effects, and for the sake of avoiding repetition, it will not be elaborated here.

[0140] Embodiment Five

[0141] 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, each process of the above embodiment of the anti-torsion performance evaluation device of the wind power cable is implemented, and the same technical effect can be achieved. For the sake of avoiding repetition, it will not be elaborated here.

[0142] 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.

[0143] Embodiment Six

[0144] The embodiment of the present application further provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above embodiment of the anti-torsion performance evaluation device of the wind power cable is implemented, and the same technical effect can be achieved. For the sake of avoiding repetition, it will not be elaborated here.

[0145] Among them, the processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disc, etc.

[0146] Embodiment Seven

[0147] Another embodiment of the present application provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement each process of the above-mentioned embodiment of the torsional resistance performance evaluation device for wind power cables, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0148] 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, system chip, chip system, or system-on-chip, etc.

[0149] It should be noted that in this article, the term "comprising", "including" or any other variant thereof is 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 also 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 another identical element in the process, method, article or device including that element. In addition, it should be pointed out that the methods and devices in the embodiments of the present application are 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 methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0150] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned 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 method. 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 disc) 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.

[0151] 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 rather than 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 fall within the protection scope of the present application.

[0152] 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 may also include more other equivalent embodiments, and the scope of the present application is determined by the scope of the claims.

Claims

1. A device for evaluating the torsion resistance of a wind power cable, characterized in that: The device comprises: A sample acquisition module, used for acquiring cable samples of wind power cables; A torsion simulation module, used for twisting the cable sample through a multi-axis torsion mechanical device to simulate the multi-directional torsion stress applied to the wind power cable; wherein the multi-directional torsion stress is caused by at least one of the factors of wind turbine yaw, tower torsion and cable laying shape; The detection and evaluation module is used to perform torsional fatigue detection and electrical performance detection on the cable sample to identify whether the cable sample has abnormal insulation damage and / or abnormal electrical performance, and obtain the torsional performance evaluation result of the wind power generation cable.

2. The device for evaluating the torsion resistance of a wind power cable according to claim 1, characterized in that: The torsion simulation module comprises: A first torsion unit, used for twisting the cable sample according to a preset torsion angle range and a preset torsion frequency, so as to simulate the multi-directional torsion stress caused by the yaw factor of the wind turbine; A second torsion unit is used to superimpose a random angular displacement disturbance within a preset disturbance angle range according to the preset torsion frequency to simulate multi-directional torsion stress caused by the torsion factor of the tower; The third torsion unit is used to apply a constant bias torque to the cable sample to simulate the multi-directional torsion stress caused by the cable laying shape factor.

3. The device for evaluating the torsion resistance of a wind power cable according to claim 2, characterized in that: The first torsion unit is specifically used for: Acquire a yawable angle range of the wind turbine, and determine the yawable angle range as a preset torsion angle range; Obtaining a wind direction change frequency at a location where the wind turbine is located, and determining the wind direction change frequency as a preset torsion frequency; The cable sample is twisted within a preset torsion angle range and a preset torsion frequency to simulate multi-directional torsion stress caused by the yaw factor of the wind turbine.

4. The device for evaluating the torsion resistance of a wind power cable according to claim 3, characterized in that: The first torsion unit is further used for: Acquiring mechanical load information of the wind turbine and wind speed data at a location where the wind turbine is located, and determining a yaw response accuracy of the wind turbine according to the mechanical load information and the wind speed data; A preset torsion frequency is determined according to the wind direction change frequency and the yaw response accuracy.

5. The device for evaluating the torsion resistance of a wind power cable according to claim 2, characterized in that: The third torsion unit is specifically used for: Obtaining tower heights and tower spacings on both sides of the wind power generation cable; Determining the laying curvature of the wind power cable according to the tower height and the tower spacing, and determining a constant bias torque according to the laying curvature; A constant bias torque is applied to the cable specimens to simulate multi-directional torsional stresses caused by the cable laying form factor.

6. The device for evaluating the torsion resistance of a wind power cable according to claim 1, characterized in that: The detection and evaluation module comprises: a torsional fatigue detection unit, used to obtain visible light image data and infrared image data of the cable sample, and identify whether the cable sample has insulation damage abnormality according to the visible light image data and the infrared image data; An electrical performance detection unit, used to obtain electrical performance data of the cable sample, and identify whether the cable sample has electrical performance abnormalities according to the electrical performance data; wherein the electrical performance data includes current data, voltage data, and capacitance data between the shielding layer and the conductor; An evaluation result determination unit is used to determine the torsional performance evaluation result of the wind power generation cable according to the insulation damage abnormality and / or the electrical performance abnormality when it is identified that the cable sample has insulation damage abnormality and / or electrical performance abnormality.

7. The device for evaluating the torsion resistance of a wind power cable according to claim 6, characterized in that: The electrical performance detection unit is specifically used for: Acquiring electrical performance data of the cable sample; wherein the electrical performance data includes current data, voltage data, and capacitance data between the shielding layer and the conductor; Determine a current fluctuation amplitude according to the current data, determine a dielectric loss tangent value according to the current data and the voltage data, and determine a capacitance offset according to the capacitance data and a preset capacitance reference; Whether the electrical performance of the cable sample is abnormal is identified according to the current fluctuation amplitude, the dielectric loss tangent value, and the capacitance offset.

8. A method for evaluating the torsion resistance of a wind power cable, characterized in that: The method comprises: Acquire cable samples of wind power cables through a sample acquisition module; The cable sample is twisted by a multi-axis torsion mechanical device through a torsion simulation module to simulate the multi-directional torsion stress applied to the wind power cable; wherein the multi-directional torsion stress is caused by at least one of the factors of wind turbine yaw, tower torsion and cable laying shape; The cable sample is subjected to torsional fatigue detection and electrical performance detection by the detection and evaluation module to identify whether the cable sample has abnormal insulation damage and / or abnormal electrical performance, and obtain an evaluation result of the torsional performance of the wind power generation cable.

9. The method for evaluating the torsional performance of a wind power cable according to claim 8, characterized in that: The cable sample is twisted by a multi-axis torsion mechanical device through a torsion simulation module to simulate the multi-directional torsion stress applied to the wind power cable, including: The cable sample is twisted by a first twisting unit according to a preset twisting angle range and a preset twisting frequency to simulate multi-directional torsional stress caused by the yaw factor of the wind turbine; The second torsion unit superimposes a random angular displacement disturbance within a preset disturbance angle range according to the preset torsion frequency to simulate the multi-directional torsion stress caused by the torsion factor of the tower; A constant bias torque is applied to the cable sample by a third torsion unit to simulate the multi-directional torsional stress caused by the cable laying shape factor.

10. An electronic device, characterized in that: It comprises a processor, a memory and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method for evaluating the torsional performance of a wind power cable as described in any one of claims 8 to 9.

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