Method for predicting mechanical performance of composite insulating component

Abstract

The invention provides a method for predicting the mechanical performance of a composite insulating part. The method comprises the following steps: acquiring the composite insulating part under different operation conditions and taking the composite insulating part as a sample part; the sample part is tested, and index parameters of the sample part are determined; constructing an aging characteristic index model of the composite insulation part, and calculating aging characteristic indexes of the sample part based on the index parameters of the sample part; fitting the aging characteristic index with the operation condition, and determining a function relation between the operation condition and the aging characteristic index; acquiring operation condition parameters of the to-be-tested composite insulation part, and inputting the operation condition parameters of the to-be-tested composite insulation part into the function relation of the operation condition and the aging characteristic indexes to determine the aging characteristic indexes of the to-be-tested composite insulation part; and constructing an aging characteristic index and mechanical property relation model, inputting the aging characteristic index of the to-be-tested composite insulation part into the aging characteristic index and mechanical property relation model, and determining the mechanical property index of the to-be-tested composite insulation part.

Description

Technical Field

[0001] The present invention relates to an aging assessment technology for electric power equipment, and in particular to a method for predicting the mechanical properties of a composite insulating component. Background Art

[0002] As key components of ultra-high voltage transmission lines, insulation components play a vital role in ensuring the stability and safety of power transmission.

[0003] Silicone rubber composite insulation components are widely used in power systems due to their good hydrophobicity, anti-fouling properties and low cost. However, their mechanical properties gradually degrade due to factors such as operating years, altitude, and ultraviolet radiation.

[0004] In the existing technology, the mechanical aging status of composite insulation components is evaluated through a single mechanical performance indicator, such as tensile strength and hardness. This method cannot fully reflect the aging of the mechanical properties of materials under complex working conditions. Moreover, the existing method cannot predict the mechanical properties of composite insulation components in the operation site (because the existing testing methods generally damage the insulation components), resulting in the risk of shed fracture of composite insulation components under complex loads, thereby posing a safety hazard to the power grid system.

[0005] Therefore, in order to solve the above technical problems, it is urgent to propose a new technical means. Summary of the Invention

[0006] In view of this, the purpose of the present invention is to provide a method for predicting the mechanical properties of composite insulating components. By conducting experimental tests on sample composite insulating components, corresponding index parameters are obtained, and aging characteristic indicators are comprehensively determined, and a function model of operating years, altitude and aging characteristic indicators is established. Therefore, there is no need to conduct destructive tests on online composite insulating components to obtain their aging characteristic value indicators and mechanical performance indicators, and it can effectively ensure the accuracy and efficiency of the prediction results, save manpower and material resources, and provide protection for the safety and stability of the power grid system.

[0007] The present invention provides a method for predicting the mechanical properties of a composite insulating component, comprising the following steps:

[0008] S1. Obtain composite insulation components under different operating conditions and use them as sample components, where the operating conditions include the operating years and the altitude of the operating location;

[0009] S2. Test the sample components to determine the index parameters of the sample components;

[0010] S3. Constructing a composite insulation component aging characteristic index model and calculating the aging characteristic index of the sample component based on the index parameters of the sample component;

[0011] S4. Fitting the aging characteristic index with the operating conditions to determine the functional relationship between the operating conditions and the aging characteristic index;

[0012] S5 obtains the operating condition parameters of the composite insulating component to be tested, and inputs the operating condition parameters of the composite insulating component to be tested into the functional relationship between the operating conditions and the aging characteristic index to determine the aging characteristic index of the composite insulating component to be tested;

[0013] S6. Construct a relationship model between aging characteristic index and mechanical performance, input the aging characteristic index of the composite insulation component to be tested into the relationship model between aging characteristic index and mechanical performance, and determine the mechanical performance index of the composite insulation component to be tested.

[0014] Furthermore, the performance indicators of the sample components determined by testing the sample components include tensile strength, elongation at break, shear strength, shear deformation coefficient, puncture strength, puncture deformation coefficient and surface hardness.

[0015] Furthermore, the aging characteristic index model of composite insulation components is specifically as follows:

[0016]

[0017] Where: Q represents the aging characteristic index of the composite insulation component, σ t represents the tensile strength, ε b represents the elongation at break, τ p represents shear strength, β represents shear deformation coefficient, δ p represents the puncture strength, α represents the puncture deformation coefficient, H a Indicates surface hardness.

[0018] Furthermore, the functional relationship between the operating conditions and the aging characteristic index is specifically as follows:

[0019] Q = c·exp(a·T+b·H);

[0020] Where: a, b and c are coefficients, T represents the service life of the insulation component, and H represents the altitude of the operating location.

[0021] Furthermore, the relationship model between aging characteristic indicators and mechanical properties is specifically as follows:

[0022] Q = d·exp(-f·x);

[0023] Where: d and f are coefficients, and x represents the mechanical performance index.

[0024] The beneficial effects of the present invention are as follows: through the present invention, by conducting experimental tests on sample composite insulation components, corresponding index parameters are obtained, and aging characteristic indicators are comprehensively determined, and a function model of operating years, altitude and aging characteristic indicators is established, so that the aging characteristic value indicators and mechanical performance indicators of online composite insulation components can be obtained without conducting destructive tests on them, and the accuracy and efficiency of the prediction results can be effectively guaranteed, manpower and material resources can be saved, and the safety and stability of the power grid system can be guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The present invention will be further described below in conjunction with the accompanying drawings and embodiments:

[0026] Figure 1 Flowchart of the present invention. DETAILED DESCRIPTION

[0027] The present invention is further described in detail below:

[0028] The present invention provides a method for predicting the mechanical properties of a composite insulating component, comprising the following steps:

[0029] S1. Obtain composite insulation components under different operating conditions and use them as sample components, where the operating conditions include the operating years and the altitude of the operating location;

[0030] S2. Test the sample components to determine the index parameters of the sample components;

[0031] Among them, the performance indicators of the sample parts determined by testing the sample parts include tensile strength, elongation at break, shear strength, shear deformation coefficient, puncture strength, puncture deformation coefficient and surface hardness.

[0032] S3. Constructing a composite insulation component aging characteristic index model and calculating the aging characteristic index of the sample component based on the index parameters of the sample component;

[0033] Specifically: The aging characteristic index model of composite insulation components is as follows:

[0034]

[0035] Where: Q represents the aging characteristic index of the composite insulation component, σ t represents the tensile strength, ε b represents the elongation at break, τ p represents shear strength, β represents shear deformation coefficient, δ p represents the puncture strength, α represents the puncture deformation coefficient, H a Indicates surface hardness.

[0036] Under the above model, various index parameters are used to comprehensively reflect the aging characteristic index of the composite insulation component, so that the evaluation of this index is more accurate and more in line with the actual operation scenario;

[0037] S4. Fit the aging characteristic index with the operating conditions to determine a functional relationship between the operating conditions and the aging characteristic index; wherein:

[0038] The functional relationship between operating conditions and aging characteristic indicators is as follows:

[0039] Q = c·exp(a·T+b·H)(2);

[0040] Wherein: a, b and c are coefficients, T represents the service life of the insulation component, and H represents the altitude of the operating location. T and H are both normalized quantities.

[0041] The aging characteristic indicators of sample components of different ages and at different altitudes are fitted to determine the coefficients a, b, and c. At least three operating conditions and corresponding aging characteristic indicators of the sample components need to be substituted into the above model to determine the coefficients. In other words, in order to determine the aging characteristic indicators of the sample components and ensure the accuracy of the aging characteristic indicators, the aging characteristic indicators of the sample components determined by formula (1) and the operating condition parameters of the sample components are substituted into formula (2) to determine the specific coefficients.

[0042] S5. Obtaining the operating condition parameters of the composite insulating component to be tested, and inputting the operating condition parameters of the composite insulating component to be tested into the functional relationship between the operating condition and the aging characteristic index to determine the aging characteristic index of the composite insulating component to be tested; by substituting the operating years and the altitude of the insulating component to be tested into the formula (2) after the coefficient is determined, the aging characteristic index of the insulating component to be tested can be predicted without the need to shut down the power system or conduct destructive experiments on the insulating component to be tested;

[0043] S6. Construct a relationship model between aging characteristic index and mechanical performance, input the aging characteristic index of the composite insulation component to be tested into the relationship model between aging characteristic index and mechanical performance, and determine the mechanical performance index of the composite insulation component to be tested.

[0044] The relationship model between aging characteristic indicators and mechanical properties is as follows:

[0045] Q = d·exp(-f·x)(3);

[0046] Wherein: d and f are coefficients, and x represents the mechanical performance index; then, after determining the aging characteristic index of the insulating component to be tested in step S5, substituting it into formula (3), the mechanical performance index of the insulator to be tested can be determined, that is, x in the formula. This index is the mean value of mechanical strength, which is the mean value of tensile strength, shear strength and puncture strength, thereby comprehensively reflecting the mechanical properties of the insulating component to be tested.

[0047] Through the above method, by testing the sample composite insulation components, the corresponding index parameters are obtained, and the aging characteristic index is comprehensively determined. A function model of the operating years, altitude and aging characteristic index is established. Therefore, without the need to conduct destructive testing on the online composite insulation components, its aging characteristic value index and mechanical performance index can be obtained, and the accuracy and efficiency of the prediction results can be effectively guaranteed, saving manpower and material resources, and providing protection for the safety and stability of the power grid system.

[0048] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the purpose and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for predicting the mechanical properties of a composite insulation component, characterized by: The following steps are involved: S1. Obtain composite insulation components under different operating conditions and use them as sample components, where the operating conditions include the operating years and the altitude of the operating location; S2. Test the sample components to determine the index parameters of the sample components; S3. Constructing a composite insulation component aging characteristic index model and calculating the aging characteristic index of the sample component based on the index parameters of the sample component; S4. Fitting the aging characteristic index with the operating conditions to determine the functional relationship between the operating conditions and the aging characteristic index; S5 obtains the operating condition parameters of the composite insulating component to be tested, and inputs the operating condition parameters of the composite insulating component to be tested into the functional relationship between the operating conditions and the aging characteristic index to determine the aging characteristic index of the composite insulating component to be tested; S6. Construct a relationship model between aging characteristic index and mechanical performance, input the aging characteristic index of the composite insulation component to be tested into the relationship model between aging characteristic index and mechanical performance, and determine the mechanical performance index of the composite insulation component to be tested.

2. The method for predicting mechanical properties of composite insulation components according to claim 1, characterized in that: The performance indicators of the sample parts determined by testing the sample parts include tensile strength, elongation at break, shear strength, shear deformation coefficient, puncture strength, puncture deformation coefficient and surface hardness.

3. The method for predicting mechanical properties of composite insulation components according to claim 2, characterized in that: The aging characteristic index model of composite insulation components is as follows: Where: Q represents the aging characteristic index of the composite insulation component, σ t represents the tensile strength, ε b represents the elongation at break, τ p represents shear strength, β represents shear deformation coefficient, δ p represents the puncture strength, α represents the puncture deformation coefficient, H a Indicates surface hardness.

4. The method for predicting mechanical properties of composite insulation components according to claim 3, characterized in that: The functional relationship between operating conditions and aging characteristic indicators is as follows: Q = c·exp(a·T+b·H); Where: a, b and c are coefficients, T represents the service life of the insulation component, and H represents the altitude of the operating location.

5. The method for predicting mechanical properties of composite insulation components according to claim 3, characterized in that: The relationship model between aging characteristic indicators and mechanical properties is as follows: Q = d·exp(-f·x); Where: d and f are coefficients, and x represents the mechanical performance index.

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