Wind power cable performance detection method and system

Abstract

The invention relates to the technical field of cable detection, in particular to a wind power cable performance detection method and system. The method comprises the following steps: acquiring reference spectrum data of an unaged wind power cable, and obtaining near infrared reflection spectrum data of a wind power cable to be detected; calculating an oxidative degradation index and a component loss index based on the near infrared reflection spectrum data; constructing a matrix permeability factor by using the component loss index, and carrying out nonlinear correction on the oxidative degradation index to obtain an effective oxidative damage degree; and finally, constructing a structural integrity factor based on the component loss index and the effective oxidative damage degree, and evaluating the comprehensive mechanical performance of the to-be-tested wind power cable. According to the method, the problem that traditional single-index detection cannot represent the physical synergistic effect of multiple degradation mechanisms is solved by constructing the collaborative failure model, and the accuracy and sensitivity of wind power cable aging state evaluation are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of cable testing technology, and in particular to a method and system for testing the performance of wind power cables. Background Technology

[0002] Wind power cables, especially those installed in the torsional zones of wind turbine nacelles and towers, operate in extremely harsh environments. They must withstand millions of cycles of dynamic torsional and bending stress, as well as extreme high and low temperature cycles and long-term thermo-oxidative aging. Therefore, the weather resistance and mechanical stability of the wind power cable sheath, such as polyurethane or polyvinyl chloride, are crucial to ensuring the safe operation of wind turbines.

[0003] When evaluating the performance of wind power cable sheaths that have undergone the aforementioned environmental aging tests, near-infrared spectroscopy analysis is currently used. A commonly used technique is the characteristic band ratio method. This method calculates a degradation index by measuring the characteristic absorption peaks representing chemical degradation products, such as carbonyl groups produced by polymer oxidation, and comparing them to a reference absorption peak that is relatively stable during aging.

[0004] However, existing characteristic band ratio methods suffer from serious technical flaws: their design logic is "biased," heavily relying on a single degradation index. In reality, the performance degradation of wind power cable sheaths under thermal aging or low-temperature conditions is a complex process involving multiple mechanisms. Taking PVC-sheathed wind power cables as an example, failure includes not only the oxidation of the polymer backbone, leading to brittleness and cracking, but also the migration and precipitation of key additives such as plasticizers, resulting in hardening and a sharp decrease in flexibility. Existing single-ratio methods, if selecting the carbonyl peak as the characteristic peak, completely ignore the equally fatal plasticizer loss; conversely, if not, they also ignore it. This measurement method leads to a severe disconnect between the evaluation results and the actual comprehensive mechanical properties of the wind power cable under test, such as flexibility and bending resistance, making it impossible to accurately determine whether the wind power cable has truly failed after aging tests, easily causing misjudgments. Furthermore, a deeper problem lies in the fact that existing calculation methods are too conventional; even when attempting to consider multiple mechanisms, they often assume they are independent of each other. In real physical processes, the precipitation of plasticizers and the oxidation of materials have a strong synergistic accelerating effect. Conventional linear superposition or simple product models cannot capture this nonlinear coupling relationship, leading to distorted evaluation results. Summary of the Invention

[0005] To address the problem that existing technologies cannot characterize multiple degradation mechanisms with a single indicator, and conventional calculation models cannot reflect the physical synergistic effects between degradation mechanisms, this invention provides a method and system for testing the performance of wind power cables.

[0006] In a first aspect, the present invention provides a method for testing the performance of wind power cables, employing the following technical solution: A method for testing the performance of wind power cables includes: collecting reference spectral data of an unaged wind power cable and acquiring near-infrared reflectance spectral data of the wind power cable under test; calculating, based on the near-infrared reflectance spectral data, an oxidative degradation index characterizing the degree of oxidation of the polymer backbone and a component loss index characterizing the degree of migration of key components; constructing a matrix permeability factor characterizing the porosity of the material's physical structure based on the component loss index, wherein the matrix permeability factor is non-linearly positively correlated with the component loss index; correcting the oxidative degradation index using the matrix permeability factor to obtain an effective oxidative damage degree, wherein the effective oxidative damage degree characterizes the actual destructive force of oxidation under conditions of increased oxygen permeability due to component loss; constructing a structural integrity factor based on the component loss index and the effective oxidative damage degree, and using the structural integrity factor to evaluate the comprehensive mechanical properties of the wind power cable under test.

[0007] This invention abandons the conventional calculation model that assumes each failure mode is independent, and is able to assess synergistic failures. Through the innovative construction of a matrix permeability factor and effective oxidation damage degree, the physical acceleration effect of component loss on oxidation damage is mathematically evaluated. By establishing a multi-mechanism coupled assessment model, the true aging state of the wind power cable under test in complex environments can be more accurately reflected.

[0008] Furthermore, the acquisition of reference spectral data for unaged wind power cables includes: selecting an unaged wind power cable as a reference sample and acquiring near-infrared reflectance spectral data of its sheath surface; calibrating a reference wavelength and obtaining an initial reference absorbance, wherein the reference wavelength corresponds to chemical bonds that are stable during aging; calibrating the wavelengths of key components and obtaining initial absorbances of key components, wherein the wavelengths of key components correspond to non-degradable chemical components in the wind power cable sheath; and calculating an initial ratio of key components, wherein the initial ratio of key components is the ratio of the initial absorbance of the key components to the initial reference absorbance.

[0009] Furthermore, the method for calculating the oxidative degradation index is as follows: in the same measurement area of ​​the wind power cable under test, extract the current reference absorbance at the reference wavelength and the current degradation product absorbance at the degradation product wavelength; calculate the ratio of the current degradation product absorbance to the current reference absorbance to obtain the oxidative degradation index.

[0010] Furthermore, the component loss index is calculated as follows: in the same measurement area of ​​the wind power cable under test, the current reference absorbance at the reference wavelength and the current key component absorbance at the key component wavelength are extracted; the current ratio of the key component is calculated, which is the ratio of the current key component absorbance to the current reference absorbance; the specific calculation method of the component loss index is: 1 minus the current ratio of the key component, if the resulting value is less than 0, then the component loss index is 0; otherwise, the component loss index is taken as that value.

[0011] This invention solves the problem that a single characteristic peak cannot comprehensively characterize the aging state of wind power cables by parallel calculation of the oxidation degradation index and the component loss index. Traditional single-index measurements often miss the mark, while this invention simultaneously obtains oxidation information reflecting chemical bond breaking and component loss information reflecting physical performance degradation, providing a complete multi-dimensional data foundation for subsequent comprehensive evaluation and reducing the risk of misjudgment due to missing information.

[0012] Furthermore, the matrix permeability factor satisfies the following relationship:

[0013] in, As a matrix permeability factor, The component loss index, The synergistic effect coefficient is used to characterize the material's sensitivity to oxygen permeability. It is a natural exponential function.

[0014] This invention significantly improves the physical realism of the evaluation model by introducing a matrix permeability factor. This factor exponentially correlates with component loss, consistent with the physical fact that plasticizer precipitation leads to a looser material microstructure, increased porosity, and consequently a sharp increase in gas diffusion rates. This allows the model to capture the nonlinear impact of changes in the material's microstructure on chemical reaction rates during the aging process of wind power cables, reducing evaluation errors introduced by linear models.

[0015] Furthermore, the effective oxidative damage degree satisfies the following relationship:

[0016] in, To achieve effective oxidative damage, The oxidative degradation index, It is a matrix permeability factor.

[0017] This invention significantly improves the sensitivity of early warning by calculating the effective oxidative damage degree. This index combines the apparent degree of oxidation with matrix permeability, revealing that the true destructive power of oxidation is amplified in loose, porous structures. Even in the early aging stages with a low apparent oxidative degradation index, the effective oxidative damage degree increases significantly if accompanied by component loss, enabling the system to detect potential performance degradation risks earlier and reducing the occurrence of catastrophic failures.

[0018] Furthermore, the structural integrity factor satisfies the following relationship:

[0019] in, For structural integrity factor, The component loss index, As a matrix permeability factor, To achieve effective oxidative damage, This represents the material's ultimate oxidation failure threshold.

[0020] This invention achieves dynamic contraction of the safety judgment boundary by establishing an adaptive coupling mechanism between physical hardening and chemical damage: when plasticizer loss is detected, which leads to material hardening, the system reduces its tolerance to oxidative damage; it can keenly capture hidden risks in a critical state where a single indicator is qualified but the overall mechanical properties are on the verge of collapse, thus improving the accuracy of predicting sudden failures of wind power cables.

[0021] Furthermore, the material's ultimate oxidation failure threshold is obtained through inversion using a small-sample accelerated aging test.

[0022] This invention addresses the pain point of large batch differences in wind power cables in industrial sites by providing a parameter calibration scheme based on the ultraviolet rapid aging method. This enables the system to complete adaptive parameter calibration for a specific batch of wind power cables within 24 hours before deployment, solving the engineering problem of inaccurate evaluation caused by empirical parameters.

[0023] Furthermore, the acquisition of near-infrared reflectance spectral data of the wind power cable under test is achieved through non-contact acquisition using a multispectral light source and near-infrared spectral imaging.

[0024] Secondly, the present invention provides a wind power cable performance testing system, which adopts the following technical solution: A wind power cable performance testing system includes a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the aforementioned wind power cable performance testing method is implemented.

[0025] By adopting the above technical solution, a computer program for testing the performance of wind power cables is generated and stored in a memory so that it can be loaded and executed by a processor. This allows for the creation of terminal equipment based on the memory and processor, making it convenient to use.

[0026] The present invention has the following technical effects: The wind power cable performance testing system provided by this invention, by integrating an advanced multispectral light source and a high-sensitivity near-infrared imaging module, overcomes the limitations of traditional physical sampling or contact measurement, and realizes non-contact, in-situ, non-destructive testing of wind power cable sheaths. This testing method not only avoids secondary physical damage to the sample surface that may be caused during the testing process, but also significantly shortens the single testing cycle, ensuring the high efficiency and real-time nature of massive data acquisition.

[0027] More importantly, by introducing a physics-based collaborative failure algorithm, the traditional simple linear superposition logic of indicators is abandoned. It can deeply analyze the nonlinear coupling relationship between plasticizer component loss and polymer main chain oxidative damage, thereby accurately capturing the true degradation state of the microstructure of wind power cables in complex environmental aging tests such as low temperature and torsion.

[0028] This innovation allows quality inspectors to quickly and objectively determine whether a wind power cable meets the standards for weather resistance and mechanical stability based on intuitive numerical values, without requiring extensive expertise in spectroscopy or tedious manual data calculations. This automated evaluation model effectively eliminates subjective errors caused by manual interpretation, significantly reducing the risk of missed detections and misjudgments. Thus, while greatly improving testing efficiency, it provides a higher standard of quality control for the production, acceptance, and in-service evaluation of wind power cables, effectively ensuring the long-term safe operation of wind turbine generators under harsh conditions. Attached Figure Description

[0029] Figure 1 This is a flowchart of a wind power cable performance testing method provided in an embodiment of the present invention; Figure 2 This is a near-infrared spectral feature map of an embodiment of the present invention; Figure 3 This is a graph showing the variation of matrix permeability factor with component loss in an embodiment of the present invention; Figure 4 This is an analysis diagram of the oxidative damage correction effect in an embodiment of the present invention; Figure 5 This is a comprehensive evaluation diagram of the material aging state in an embodiment of the present invention. Detailed Implementation

[0030] This invention provides a method for testing the performance of wind power cables. This method primarily addresses the problems in existing technologies where a single indicator cannot characterize multiple degradation mechanisms, and conventional calculation models cannot reflect the physical synergistic effects between degradation mechanisms. By constructing a synergistic failure model that includes matrix permeability factors, effective oxidative damage levels, and structural integrity factors, this invention achieves accurate assessment of the aging state of the wind power cable under test. (Refer to...) Figure 1 This includes steps S1-S4: S1: Baseline spectral data acquisition and multidimensional feature extraction.

[0031] First, this method requires collecting reference spectral data from unaged wind power cables. This step aims to establish a reference system for spectral calculations and eliminate systematic errors caused by equipment differences or ambient lighting. The specific steps are as follows: Unaged wind power cables of the same batch and model as the wind power cables under test were selected as reference samples. Under standard light source and fixed geometric conditions, near-infrared reflectance spectral data of the sheath surface of the reference sample were acquired using a hyperspectral or multispectral imaging system.

[0032] Based on this, three key wavelengths were precisely calibrated: the reference wavelength. This corresponds to a chemical bond that is most stable during aging, such as a CH bond; key component wavelengths This corresponds to non-degradable chemical components that are crucial to mechanical properties, such as plasticizer ester bonds in PVC; the wavelength of degradation products. This corresponds to the characteristic products generated by oxidation, such as carbonyl C=O. The system records the absorbance of the reference sample at these wavelengths: the initial reference absorbance at the reference wavelength. Initial absorbance of the key component at the wavelength of the key component And calculate the initial ratio of the key components. .

[0033] Subsequently, for the wind power cables under test that have undergone tests such as low-temperature test chambers or air-changing aging test chambers, their near-infrared reflectance spectral data were collected under the same conditions, and the current reference absorbance was extracted in the same measurement area. Current key component absorbance and the absorbance of current degradation products Based on this data, two independent indices were calculated in parallel: the oxidative degradation index and the oxidative degradation index. Normalized degree of oxidation of polymer backbone; component loss index The current ratio of key components These two indices characterize the degree of migration and precipitation of key components. They capture information from two dimensions: chemical degradation and physical component loss, respectively.

[0034] Figure 2This is a near-infrared spectral feature map of an embodiment of the present invention. The green dashed line represents the reference spectrum of an unaged wind power cable, and the red solid line represents the spectrum of the wind power cable under test. At the reference wavelength... At certain wavelengths, the absorbance is relatively stable; however, at the wavelengths of key components... At the wavelength of the degradation products, the absorbance decreases due to component loss; At this point, the absorbance increases due to the formation of oxidation products.

[0035] S2: Construction and application of matrix permeability factors.

[0036] This step aims to assess the impact of component loss on the material's physical structure, thereby affecting oxygen permeability. This invention introduces a matrix permeability factor. The relation satisfies:

[0037] in, The component loss index is the one calculated above. The synergistic effect coefficient characterizes the sensitivity of a specific material system to changes in oxygen permeability. It is a natural exponential function.

[0038] It can be seen that by introducing a matrix permeability factor... The system can sensitively detect degradation even at very low oxidative degradation indices. This amplifies the risk, thereby enabling early detection of hidden faults, which is something traditional linear models cannot do.

[0039] Inside the nacelle of a wind turbine, wind power cables are frequently exposed to high temperatures and intense twisting. This environment accelerates the migration of plasticizers within the PVC sheath. Increase. When As the polymer molecular chains increase in size, the distance between them decreases, but this also leaves microscopic voids, resulting in a more porous material structure. The calculations obtained using the above relationship... This increases exponentially, accurately reflecting the physical fact that a porous structure allows oxygen to more easily penetrate the material's interior. For example, when When a certain threshold is reached, the oxygen permeability may be several times or even dozens of times that of the unaged state.

[0040] If the traditional linear assessment method is used, assuming that oxygen permeability remains constant or changes only linearly, the surge effect caused by structural loosening is ignored. In the same... In such cases, traditional methods assume that oxygen permeability remains unchanged or changes very little, leading to a severe underestimation of the subsequent oxidation rate. However, the equation of this invention, through an exponential function, keenly captures the nonlinear amplification effect of this physical structure deterioration on gas transport characteristics, thus providing a physically accurate correction factor for assessing subsequent oxidative damage.

[0041] It should be noted that the aforementioned exponential model is not based on simple data regression, but rather on the free volume theory in polymer physics. The loss of key components such as plasticizers essentially increases the free volume within the polymer matrix, thereby accelerating the diffusion of oxygen molecules. According to diffusion kinetics, the diffusion coefficient of a gas in a medium follows an exponential relationship with the free volume. In other words, the loss of components and the change in oxygen permeability are not simply linearly correlated, but rather a doubling of permeability occurs exponentially with even a small reduction in component. Therefore, this invention uses an exponential function to construct the matrix permeability factor, which can accurately simulate the physical essence of this minute loss leading to a drastic deterioration in permeability performance—something that conventional linear models cannot characterize.

[0042] Figure 3 This is a graph showing the variation of matrix permeability factor with component loss in an embodiment of the present invention. As the component loss index increases, the matrix permeability factor exhibits an exponential nonlinear growth, reflecting that component loss leads to a loose microstructure in the material, thereby significantly increasing oxygen permeability.

[0043] It should be noted that the synergy coefficient The physical meaning of represents the sensitivity of the material matrix porosity to the gas diffusion rate. This embodiment uses high-pressure permeation to rapidly calibrate it. (1) Take 5-10 sheath slices of the wind power cable to be tested with a thickness of 0.5 mm as a group of experimental samples. Use an organic solvent that has high solubility for plasticizers but has no effect on the polymer backbone. In this example, diethyl ether is used. Soak and extract each experimental sample for different durations, such as 10 minutes, 30 minutes, 60 minutes, etc. (2) After the experimental samples were dried, the component loss index of each experimental sample was measured using near-infrared spectroscopy imaging. ; (3) Place each experimental sample in a 0.5MPa hyperoxic chamber and accelerate oxidation at 80℃ for 4 hours; (4) Measure the oxidative degradation index of each experimental sample after accelerated oxidation. Change Because oxygen pressure and temperature are constant, Proportional to oxygen permeability. The x-axis is... Plotting the curve on the ordinate, the slope of the curve is the value to be calibrated. .

[0044] As can be seen, this invention, through pre-constructive material destructive experiments, utilizes chemical extraction of solvents instead of physical thermal migration to measure the oxygen permeability of materials under different component losses, and calculates the specific numerical law of the exponential increase in oxygen permeability with component loss. This reduces the calibration time from several months to less than 24 hours, enabling the rapid acquisition of accurate synergistic effect coefficients for each batch of wind power cables. This coefficient reflects the difference in the ability of different formulations of wind power cable sheaths to accelerate oxidation reactions when the microstructure collapses.

[0045] S3: Calculation of effective oxidative damage degree.

[0046] After obtaining the oxidative degradation index and matrix permeability factor, this invention further calculates the effective oxidative damage degree. This characterizes the true destructive power of oxidation. The relationship satisfies:

[0047] in, It is based on the apparent degree of oxidation measured directly by spectroscopy.

[0048] A type of wind power cable installed in a coastal wind farm is subjected to the combined effects of salt spray and humid heat. Spectroscopic analysis reveals its apparent oxidative degradation index. A value of 0.2 is relatively low and would generally be considered within a safe range. However, due to the significant plasticizer leaching that also occurred in this wind power cable, the calculated value... Up to 3.0. Calculated using this relational formula. This indicates that although the number of chemical bonds broken may seem small, in a porous matrix, these break points constitute weak points where stress is concentrated, and their actual destructive power has been amplified threefold.

[0049] If the traditional independent indicator evaluation method is used, that is, directly using In a conventional assessment, the wind power cable might be mistakenly classified as slightly aged and deemed acceptable. However, in actual mechanical bending tests, this wind power cable is highly prone to brittle fracture. The formula of this invention introduces the correction effect of the matrix permeability factor through a product form, transforming the apparent chemical indicators into real physical damage indicators. This successfully identifies this hidden fault with low oxidation readings and high risk of damage, reducing the risk of missed detection.

[0050] Figure 4This is an analysis diagram of the oxidative damage correction effect in an embodiment of the present invention. The blue dashed line represents the oxidative degradation index based solely on spectral measurements, which has a low value. The red solid line represents the effective oxidative damage degree after correction by the matrix permeability factor. It can be seen that, with higher component loss, the true effective oxidative damage degree increases significantly, revealing a hidden failure risk.

[0051] S4: Comprehensive assessment of structural integrity factors.

[0052] Since the aging of wind power cables is a strongly coupled physical-chemical process, meaning that component loss and oxidative degradation do not occur independently but rather have a synergistic accelerating effect, judging only a single indicator such as oxidative degradation may miss high-risk situations where the oxidation level is still low, but the loss of plasticizers leads to a loose structure and extreme brittleness. Therefore, this invention constructs a structural integrity factor. This is used to comprehensively assess the remaining lifespan or performance status of the wind power cable under test. The relationship satisfies:

[0053] in, It is the material's ultimate oxidation failure threshold, calibrated through destructive mechanical tests such as bending tests.

[0054] The SIF (Self-Induced Fiber) relation introduces the concept of a generalized Minkowski distance, treating component loss and oxidative damage as two-dimensional vectors in the aging space of wind power cables, while the matrix permeability factor acts as the distance parameter in the Minkowski space. This relation achieves an adaptive safety boundary contraction. During the aging process of wind power cables, severe component loss leads to porosity in the matrix, greatly increasing oxygen permeability. Therefore, when the wind power cable hardens or becomes porous, the system automatically reduces its tolerance to oxidative damage; that is, even a slight oxidation will reduce the SIF.

[0055] Figure 5 This is a comprehensive evaluation chart of the material aging state in an embodiment of the present invention. Whether it is a large loss of plasticizer or excessive oxidation, when the microstructure of the material becomes loose due to the precipitation of plasticizer, its tolerance to oxidation damage will drop sharply. This ensures that the system can accurately identify the potential failure risk dominated by hardening or embrittlement when a single index has not exceeded the standard, but the comprehensive mechanical properties have reached the critical point.

[0056] It should be noted that, The physical meaning of is: the critical threshold at which a material's performance fails solely due to main chain oxidation without any component loss. This embodiment calibrates it using the rapid ultraviolet aging method: (1) Select a miniature dumbbell-shaped sample of the wind power cable to be tested and place it in an aging chamber using a combination of a high-intensity ultraviolet lamp and an ozone generator. This environment can cause deep oxidation of the polymer surface within a few hours, and due to the extremely short time, the plasticizer does not have time to undergo large-scale physical migration. Approaching 0, thus isolating a single oxidation failure mode; (2) During the aging process, the oxidative degradation index of the sample surface was measured every 30 minutes using a spectral probe. The value; (3) Perform surface hardness testing on the sample. When cracks or sudden changes in hardness are detected on the material surface, record the absorbance data at this time. (4) The corresponding situation when cracks or sudden changes in hardness occur The value of is, In this embodiment, three miniature dumbbell-shaped splines of the wind power cables to be tested are taken to obtain three... The average value is taken as the final material limit oxidation failure threshold.

[0057] As can be seen, this invention utilizes the extremely fast photochemical reaction to achieve oxidation failure before the plasticizer is lost, thereby accurately determining the material's ultimate oxidation failure threshold within a few hours.

[0058] In the extremely cold environment simulated by the low-temperature test chamber, the wind power cable samples underwent prolonged low-temperature cycling. During this time, the plasticizer crystallized or precipitated due to the low temperature. Increased temperature makes the material harder and reduces its flexibility; at the same time, although the oxidation reaction is slower at low temperatures, the accumulated effective oxidation damage is still significant. It still exists. The relationship combines the two through a cascade failure model, simulating the physical mechanism by which hard yet brittle materials are prone to fracture under mechanical stress. The calculated... The value will be significantly lower than the result considering only a single factor.

[0059] Traditional weighted summation methods often mask the fatal flaws of a single weakness. For example, even with low oxidation levels, wind power cables may still be unusable if the plasticizer is completely lost. Weighted summation might yield a mediocre passing score, while the product-based method of this invention... In this case, the relationship will approach 0, indicating a direct failure. This aligns with the principle in actual physics that "the strength of a chain depends on its weakest link," demonstrating the scientific validity and accuracy of this invention in comprehensive mechanical performance evaluation.

[0060] This invention also discloses a wind power cable performance testing system, including a processor and a memory. The memory stores computer program instructions, which, when executed by the processor, implement a wind power cable performance testing method according to the present invention. The system typically also includes a multispectral light source, such as a halogen lamp or LED array, and near-infrared spectral imaging, such as an InGaAs camera with a narrowband filter wheel, or an acousto-optic tunable filter, for acquiring high-quality near-infrared reflectance spectral data. The processor is responsible for executing all the above data processing and calculation steps, and finally outputs the SIF value and the judgment result.

Claims

1. A method for testing the performance of wind power cables, characterized in that, include: Collect reference spectral data of unaged wind power cables and obtain near-infrared reflectance spectral data of the wind power cables under test; Based on the near-infrared reflectance spectral data, the oxidative degradation index, which characterizes the degree of oxidation of the polymer backbone, and the component loss index, which characterizes the degree of migration of key components, were calculated respectively. Based on the component loss index, a matrix permeability factor is constructed to characterize the porosity of the material's physical structure. The matrix permeability factor is non-linearly positively correlated with the component loss index. The oxidative degradation index is corrected using the matrix permeability factor to obtain the effective oxidative damage degree, which characterizes the true destructive power of oxidation under the condition of increased oxygen permeability due to component loss. Based on the component loss index and the effective oxidation damage degree, a structural integrity factor is constructed, and the comprehensive mechanical properties of the wind power cable under test are evaluated using the structural integrity factor.

2. The method for testing the performance of wind power cables according to claim 1, characterized in that, The reference spectral data collected from the unaged wind power cables include: Unaged wind power cables were selected as reference samples, and near-infrared reflectance spectral data of their sheath surface were collected. A reference wavelength is calibrated and an initial reference absorbance is obtained, the reference wavelength corresponding to a chemical bond that is stable during aging; The wavelengths of key components were calibrated and the initial absorbance of key components was obtained. The wavelengths of key components correspond to the non-degradable chemical components in the wind power cable sheath. Calculate the initial ratio of the key components, which is the ratio of the initial absorbance of the key components to the initial reference absorbance.

3. The method for testing the performance of wind power cables according to claim 1, characterized in that, The method for calculating the oxidative degradation index is as follows: In the same measurement area of ​​the wind power cable under test, extract the current reference absorbance at the reference wavelength and the current degradation product absorbance at the degradation product wavelength; The oxidative degradation index is obtained by calculating the ratio of the current absorbance of the degradation product to the current reference absorbance.

4. The method for testing the performance of wind power cables according to claim 1, characterized in that, The method for calculating the component loss index is as follows: In the same measurement area of ​​the wind power cable under test, extract the current reference absorbance at the reference wavelength and the current key component absorbance at the key component wavelength; Calculate the current ratio of the key component, which is the ratio of the current absorbance of the key component to the current reference absorbance; The specific calculation method of the component loss index is as follows: 1 minus the current ratio of the key component. If the resulting value is less than 0, the component loss index is 0; otherwise, the component loss index is the same value.

5. The method for testing the performance of wind power cables according to claim 1, characterized in that, The matrix permeability factor satisfies the following relationship: in, As a matrix permeability factor, The component loss index, The synergistic effect coefficient is used to characterize the material's sensitivity to oxygen permeability. It is a natural exponential function.

6. The method for testing the performance of wind power cables according to claim 5, characterized in that, The effective degree of oxidative damage satisfies the following relationship: in, To achieve effective oxidative damage, The oxidative degradation index, It is a matrix permeability factor.

7. The method for testing the performance of wind power cables according to claim 6, characterized in that, The structural integrity factor satisfies the following relationship: in, For structural integrity factor, The component loss index, As a matrix permeability factor, To achieve effective oxidative damage, This represents the material's ultimate oxidation failure threshold.

8. The method for testing the performance of wind power cables according to claim 7, characterized in that, The material's ultimate oxidation failure threshold was obtained through inversion using a small-sample accelerated aging test.

9. The method for testing the performance of wind power cables according to claim 1, characterized in that, The acquisition of near-infrared reflectance spectral data of the wind power cable under test is achieved through non-contact acquisition using a multispectral light source and near-infrared spectral imaging.

10. A wind power cable performance testing system, characterized in that, include: A processor and a memory, wherein the memory stores computer program instructions that, when executed by the processor, implement a wind power cable performance testing method according to any one of claims 1-9.

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