High-voltage circuit breaker spring fatigue degree evaluation method and system, medium and equipment

Abstract

The embodiment of the invention discloses a high-voltage circuit breaker spring fatigue degree evaluation method, and the method comprises the steps: constructing a mass point model of a high-voltage circuit breaker, and enabling the mass point model to comprise a plurality of to-be-tested mass points; collecting vibration signals of the plurality of mass points to be measured; decomposing the vibration signal according to ensemble empirical mode decomposition to obtain a plurality of vibration signals to be detected; according to the vibration energy of the plurality of to-be-measured vibration signals and the corresponding weight coefficients, determining spring energy storage functions corresponding to the plurality of to-be-measured mass points; and determining an energy storage detection value of the spring of the high-voltage circuit breaker according to the spring energy storage function, wherein the energy storage detection value is used for representing the fatigue degree of the spring. According to the method, the mass point model is constructed, the vibration signals are collected and decomposed, and the spring energy storage function is determined, so that the fatigue degree of the spring of the high-voltage circuit breaker is accurately evaluated, the accuracy and reliability of evaluation are improved, and effective technical support is provided for maintenance and management of the circuit breaker.

Description

Technical Field

[0001] The present invention relates to the technical field of high-voltage equipment testing, and in particular to a method, system, medium and equipment for evaluating the fatigue degree of a high-voltage circuit breaker spring. Background Art

[0002] As a key equipment in the power system, high-voltage circuit breakers bear the important responsibility of protecting and controlling circuits. Their stable operation is crucial to ensuring the safety and reliability of the power system. However, in actual operation, high-voltage circuit breakers often face a series of problems caused by spring fatigue.

[0003] As the core component of the high-voltage circuit breaker operating mechanism, the performance of the spring directly affects the closing and opening operations of the circuit breaker. When the spring becomes fatigued due to long-term work or harsh operating environment, it may lead to accidents such as inadequate closing and long opening time. As the operating time of the high-voltage circuit breaker accumulates, the failure rate caused by spring fatigue gradually increases, posing a potential threat to the stable operation of the power system.

[0004] In response to the fatigue problem of springs in high-voltage circuit breakers, the dynamic characteristics of high-voltage circuit breakers under spring fatigue state have been studied in the prior art, and mechanical faults such as spring fatigue have been qualitatively diagnosed from the perspective of pattern recognition; however, it is difficult to accurately reflect the fatigue degree of the spring through qualitative diagnosis alone, and it is impossible to provide accurate decision support for the maintenance of high-voltage circuit breakers. Summary of the invention

[0005] Based on this, it is necessary to propose a method for evaluating the fatigue degree of high-voltage circuit breaker springs to address the above problems.

[0006] A method for evaluating the fatigue degree of a high-voltage circuit breaker spring comprises the following steps:

[0007] Constructing a particle model of a high-voltage circuit breaker, wherein the particle model includes a plurality of particles to be measured;

[0008] Collecting vibration signals of the plurality of particles to be measured;

[0009] Decomposing the vibration signal according to the collective empirical mode decomposition to obtain a plurality of vibration signals to be measured;

[0010] Determining the spring energy storage functions corresponding to the plurality of mass points to be measured according to the vibration energies of the plurality of vibration signals to be measured and the corresponding weight coefficients;

[0011] The energy storage detection value of the high-voltage circuit breaker spring is determined according to the spring energy storage function, and the energy storage detection value is used to characterize the fatigue degree of the spring.

[0012] In the above scheme, the vibration signal is decomposed according to the set empirical mode decomposition to obtain a plurality of vibration signals to be measured, which specifically includes:

[0013] Performing data cleaning and filtering on the vibration signals of the plurality of mass points to be measured, and obtaining first vibration signals of the plurality of mass points to be measured;

[0014] Performing empirical mode decomposition on the first vibration signal to obtain corresponding groups of IMF components;

[0015] The specific groups of IMF components are selected for weighted summation to reconstruct the corresponding vibration signals to be measured.

[0016] In the above scheme, the spring energy storage functions corresponding to the plurality of measured mass points are determined according to the vibration energies of the plurality of measured vibration signals and their corresponding weight coefficients, specifically including:

[0017] Determining the vibration energy of the plurality of particles to be measured according to the plurality of vibration signals to be measured;

[0018] The weight coefficient h of the energy of the several particles to be measured is determined by using the nonlinear least square method. i ;

[0019] According to the vibration energy of the plurality of mass points to be measured and the weight coefficient h of the energy of the plurality of mass points to be measured i Determine the energy transfer function of the high voltage circuit breaker:

[0020]

[0021] In the formula, S d Store energy for the high voltage circuit breaker opening spring; S b To store energy for the buffer spring of high voltage circuit breaker; h i is the weight coefficient of the energy of several particles to be measured; S i is the vibration energy of several particles to be measured;

[0022] According to the energy transfer function, the spring energy storage functions corresponding to the several particles to be measured are determined:

[0023]

[0024] Where S(x) is the spring energy storage function; h0 is the initial energy value of several particles to be measured, S i is the vibration energy of several particles to be measured; h i is the weight coefficient of the energy of several particles to be measured.

[0025] In the above scheme, the step of determining the vibration energy of the plurality of particles to be measured according to the plurality of vibration signals to be measured specifically includes:

[0026] Determining the masses of the plurality of particles to be measured;

[0027] Collecting the velocities and accelerations of the plurality of particles to be measured;

[0028] Determine the vibration energy of the plurality of mass points to be measured according to the mass, velocity and acceleration of the plurality of mass points to be measured:

[0029]

[0030] In the formula, m i is the mass of the i-th particle to be measured; v i is the velocity of the i-th particle to be measured; a i is the acceleration of the i-th particle to be measured; τ is the sampling time; X is the number of sampling points.

[0031] In the above solution, the determining of the masses of the plurality of mass points to be measured specifically includes:

[0032] The masses of the plurality of mass points to be measured are determined according to the three-dimensional dimensions of the high-voltage circuit breaker and the material specifications of the parts.

[0033] In the above scheme, the weight coefficient h of the energy of the several particles to be measured is determined by using the nonlinear least square method. i , including:

[0034] Obtain the objective function of the nonlinear least squares method, the objective function is:

[0035]

[0036] In the formula, The actual value of the energy stored in the opening spring; S d is the calculated value of the energy stored in the opening spring; n is the number of measurements;

[0037] Obtain an optimization criterion for the nonlinear least squares method, wherein the optimization criterion is:

[0038]

[0039] Among them, x,x 2 ,···,x n is a linearly independent function within the domain of the error function δ; a j is the coefficient corresponding to the linearly independent function, 1≤j≤k, k is a constant;

[0040] Solve the objective function and the optimization criterion to obtain the weight coefficient h of the energy of the several particles to be measured. i .

[0041] In the above scheme, after determining the energy storage detection value of the high-voltage circuit breaker spring according to the spring energy storage function, it also includes:

[0042] Identifying a fatigue state of the high-voltage circuit breaker spring according to the spring energy storage detection value;

[0043] The fatigue state includes: normal state, mild fatigue state, general fatigue state, severe fatigue state and failure state.

[0044] In the above scheme, the step of identifying the fatigue state of the high-voltage circuit breaker spring according to the spring energy storage detection value comprises:

[0045] Get the normal value range of spring energy storage;

[0046] When the spring energy storage detection value is within 90%-100% of the spring energy storage normal value range, it is determined that the high-voltage circuit breaker spring is in a normal state;

[0047] When the spring energy storage detection value is within 80%-89% of the spring energy storage normal value range, it is determined that the high-voltage circuit breaker spring is in a light fatigue state;

[0048] When the spring energy storage detection value is within a range of 50% to 79% of the normal value of the spring energy storage, it is determined that the high-voltage circuit breaker spring is in a general fatigue state;

[0049] When the spring energy storage detection value is within 25%-49% of the spring energy storage normal value range, it is determined that the high-voltage circuit breaker spring is in a severe fatigue state;

[0050] When the spring energy storage detection value is lower than 25% of the spring energy storage normal value range, it is determined that the high-voltage circuit breaker spring is in a failure state.

[0051] In the above solution, when the high-voltage circuit breaker spring is in a severe fatigue state or a failure state, a prompt message is sent, and the prompt message is used to prompt the user to replace the spring.

[0052] The present application also proposes a high-voltage circuit breaker spring fatigue assessment system, the system comprising: a model building unit, a signal acquisition unit, a signal processing unit and a spring fatigue assessment unit;

[0053] The model building unit is used to build a mass point model of the high-voltage circuit breaker, wherein the mass point model includes a plurality of mass points to be measured;

[0054] The signal acquisition unit is used to acquire vibration signals of the thousand particles to be measured;

[0055] The signal processing unit is used to decompose the vibration signal according to the collective empirical mode decomposition to obtain a plurality of vibration signals to be measured;

[0056] The spring fatigue degree evaluation unit is used to determine the energy transfer function and the spring energy storage function corresponding to the plurality of mass points to be measured according to the vibration energy and weight coefficient of the plurality of vibration signals to be measured; and determine the energy storage detection value of the high-voltage circuit breaker spring according to the spring energy storage function, and the energy storage detection value is used to characterize the fatigue degree of the spring.

[0057] The present application also proposes a readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the following steps:

[0058] Constructing a particle model of a high-voltage circuit breaker, wherein the particle model includes a plurality of particles to be measured;

[0059] Collecting vibration signals of the plurality of particles to be measured;

[0060] Decomposing the vibration signal according to the collective empirical mode decomposition to obtain a plurality of vibration signals to be measured;

[0061] Determining the spring energy storage functions corresponding to the plurality of mass points to be measured according to the vibration energies of the plurality of vibration signals to be measured and the corresponding weight coefficients;

[0062] The energy storage detection value of the high-voltage circuit breaker spring is determined according to the spring energy storage function, and the energy storage detection value is used to characterize the fatigue degree of the spring.

[0063] The present application also proposes a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor executes the following steps of the computer program:

[0064] Constructing a particle model of a high-voltage circuit breaker, wherein the particle model includes a plurality of particles to be measured;

[0065] Collecting vibration signals of the plurality of particles to be measured;

[0066] Decomposing the vibration signal according to the collective empirical mode decomposition to obtain a plurality of vibration signals to be measured;

[0067] Determining the spring energy storage functions corresponding to the plurality of mass points to be measured according to the vibration energies of the plurality of vibration signals to be measured and the corresponding weight coefficients;

[0068] The energy storage detection value of the high-voltage circuit breaker spring is determined according to the spring energy storage function, and the energy storage detection value is used to characterize the fatigue degree of the spring.

[0069] The use of the embodiment of the present invention has the following beneficial effects: first construct a particle model of a high-voltage circuit breaker, wherein the particle model includes a number of particles to be measured; collect vibration signals of the number of particles to be measured; decompose the vibration signals according to the set empirical mode decomposition to obtain a number of vibration signals to be measured; determine the spring energy storage function corresponding to the number of particles to be measured according to the vibration energy of the number of vibration signals to be measured and their corresponding weight coefficients; determine the energy storage detection value of the high-voltage circuit breaker spring according to the spring energy storage function, and the energy storage detection value is used to characterize the fatigue degree of the spring. The present invention can accurately detect the spring storage energy value by constructing a particle model, collecting and decomposing vibration signals, and determining the spring energy storage function, thereby realizing quantitative online monitoring of the spring and accurately evaluating the fatigue degree of the high-voltage circuit breaker spring, which not only improves the accuracy and reliability of the evaluation, but also provides effective technical support for the maintenance and management of the circuit breaker. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0071] in:

[0072] Figure 1 It is a schematic flow chart of a method for evaluating the fatigue degree of a high-voltage circuit breaker spring in one embodiment;

[0073] Figure 2 Schematic diagram of the particle model structure of high-voltage circuit breaker. DETAILED DESCRIPTION

[0074] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0075] In the following description, a large number of specific details are given in order to provide a more thorough understanding of the present invention; however, it is obvious to those skilled in the art that the present invention can be implemented without one or more of these details; in other examples, in order to avoid confusion with the present invention, some technical features known in the art are not described, and it should be understood that the present invention can be implemented in different forms and should not be interpreted as limited to the embodiments presented here; on the contrary, providing these embodiments will make the disclosure thorough and complete and fully convey the scope of the present invention to those skilled in the art.

[0076] The purpose of the terms used herein is only to describe specific embodiments and is not intended to be limiting of the present invention. When used herein, the singular forms "a", "an" and "said / the" are also intended to include the plural forms, unless the context clearly indicates otherwise, and it should also be understood that the terms "consisting of" and / or "comprising", when used in this specification, determine the presence of the features, integers, steps, operations, elements and / or parts, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, parts and / or groups. When used herein, the term "and / or" includes any and all combinations of the relevant listed items.

[0077] In order to thoroughly understand the present invention, a detailed structure will be presented in the following description to illustrate the technical solution proposed by the present invention; optional embodiments of the present invention are described in detail as follows, but in addition to these detailed descriptions, the present invention may also have other implementation methods.

[0078] like Figure 1 As shown, in one embodiment, a method for evaluating the fatigue degree of a high-voltage circuit breaker spring is provided, and the method for evaluating the fatigue degree of a high-voltage circuit breaker spring includes steps S101 to S105, which are described in detail as follows:

[0079] S101, constructing a particle model of a high-voltage circuit breaker, wherein the particle model includes a plurality of particles to be measured;

[0080] By establishing a particle model of a high-voltage circuit breaker, the complex physical system can be simplified to facilitate subsequent analysis and processing. The particles to be measured in the particle model represent the key parts of the circuit breaker. The vibration conditions of these parts can reflect the working state and fatigue degree of the spring.

[0081] like Figure 2As shown in the figure, considering the mechanical structure of the high-voltage circuit breaker, the high-voltage circuit breaker is simplified as a mass point model, which includes 7 mass points to be measured. The mass of each mass point to be measured is defined as m1~m7 respectively; the mass of each mass point to be measured can be calculated according to the three-dimensional size of the high-voltage circuit breaker and the specifications of the part material. According to the analysis of the energy transfer mechanism of the high-voltage circuit breaker and the law of conservation of energy, in the opening process, the energy stored in the spring will eventually be converted into the vibration energy of the 7 mass points to be measured.

[0082] S102, collecting vibration signals of several particles to be measured;

[0083] Collecting the vibration signal of the measured particle is the basic data for evaluating the fatigue degree of the spring. These signals contain the vibration information generated by the spring during the working process. By analyzing this information, the energy storage and fatigue state of the spring can be inferred.

[0084] S103, decomposing the vibration signal according to the collective empirical mode decomposition to obtain a plurality of vibration signals to be measured;

[0085] Ensemble empirical mode decomposition (EEMD) is an effective signal processing technique that can decompose complex vibration signals into multiple intrinsic mode functions (IMFs) to extract different frequency components in the signal. This method helps to separate specific vibration modes related to spring fatigue from the original vibration signal.

[0086] In some embodiments, the vibration signal is decomposed according to the collective empirical mode decomposition to obtain a plurality of vibration signals to be measured, specifically including:

[0087] Performing data cleaning and filtering on the vibration signals of the plurality of mass points to be measured, and obtaining the first vibration signals of the plurality of mass points to be measured;

[0088] Performing empirical mode decomposition on the first vibration signal to obtain corresponding groups of IMF components;

[0089] A specific number of groups of IMF components are selected for weighted summation to reconstruct a corresponding number of vibration signals to be measured.

[0090] Specifically, by selecting specific IMF components for weighted summation, vibration signals reflecting the vibration characteristics of the particle to be measured can be reconstructed. These signals can be clearer and more accurate, which is conducive to subsequent vibration analysis and fault diagnosis.

[0091] S104, determining the spring energy storage functions corresponding to the plurality of mass points to be measured according to the vibration energies of the plurality of vibration signals to be measured and the corresponding weight coefficients;

[0092] By analyzing the energy and weight coefficient of the vibration signal, the energy storage function of the spring can be constructed. This function can quantify the energy storage capacity of the spring under different vibration modes, thereby reflecting the fatigue state of the spring. The introduction of the weight coefficient can more accurately evaluate the contribution of different vibration modes to the energy storage of the spring.

[0093] In some embodiments, according to the vibration energies of the plurality of vibration signals to be measured and their corresponding weight coefficients, the spring energy storage functions corresponding to the plurality of mass points to be measured are determined, specifically including:

[0094] Determining the vibration energy of a plurality of particles to be measured according to a plurality of vibration signals to be measured;

[0095] Determine the weight coefficient h of several measured particle energies using the nonlinear least squares method i ;

[0096] According to the vibration energy of several measured particles and the weight coefficient h of several measured particle energies i Determine the energy transfer function of the high voltage circuit breaker:

[0097]

[0098] In the formula, S d Store energy for the high voltage circuit breaker opening spring; S b To store energy for the buffer spring of high voltage circuit breaker; h i is the weight coefficient of the energy of several particles to be measured; S i is the vibration energy of several particles to be measured;

[0099] Determine the spring energy storage function corresponding to several measured mass points according to the energy transfer function:

[0100]

[0101] Where S(x) is the spring energy storage function; h0 is the initial energy value of several particles to be measured, S i is the vibration energy of several particles to be measured; h i is the weight coefficient of the energy of several particles to be measured.

[0102] It can be seen that the above-mentioned spring energy storage functions corresponding to several particles to be measured are determined based on the energy transfer function, combined with the initial value and vibration energy of the energy of the particle to be measured, and the weight coefficient. Through this function, the spring energy storage situation of each particle can be intuitively understood, which provides strong support for subsequent analysis and decision-making.

[0103] In some embodiments, the vibration energy of a plurality of particles to be measured is determined according to a plurality of vibration signals to be measured, specifically including:

[0104] Determine the mass of several particles to be measured;

[0105] Collect the velocity and acceleration of several particles to be measured;

[0106] Determine the vibration energy of several particles to be measured according to their mass, velocity and acceleration:

[0107]

[0108] In the formula, m i is the mass of the i-th particle to be measured; v i is the velocity of the i-th particle to be measured; a i is the acceleration of the i-th particle to be measured; τ is the sampling time; X is the number of sampling points.

[0109] like Figure 2 As shown, take the first particle to be measured in the particle model as an example:

[0110]

[0111] Wherein, m1 is the mass of the first particle to be measured; v1 is the velocity of the first particle to be measured; a1 is the acceleration of the first particle to be measured; τ is the sampling time; and X is the number of sampling points.

[0112] In some embodiments, determining the masses of a plurality of particles to be measured specifically includes:

[0113] The masses of several particles to be measured are determined according to the three-dimensional dimensions of the high-voltage circuit breaker and the material specifications of the parts.

[0114] In some embodiments, the weight coefficients h of the energy of several particles to be measured are determined by using a nonlinear least square method. i , including:

[0115] Get the objective function of the nonlinear least squares method. The objective function is:

[0116]

[0117] In the formula, The actual value of the energy stored in the opening spring; S d is the calculated value of the energy stored in the opening spring; n is the number of measurements;

[0118] Get the optimization criterion of nonlinear least squares method, the optimization criterion is:

[0119]

[0120] Among them, x,x 2 ,···,x n is a linearly independent function within the domain of the error function δ; aj is the coefficient corresponding to the linearly independent function, 1≤j≤k, k is a constant;

[0121] Solve the objective function and optimization criteria to obtain the weight coefficients h of several particle energies to be measured. i .

[0122] Preferably, each coefficient a in the optimization criterion is j Find the partial derivative and set it to 0 to obtain the linear equation system:

[0123]

[0124]

[0125] Among them, x,x 2 ,···,x n is a linearly independent function within the domain of the error function δ; a j is the coefficient corresponding to the linearly independent function, 1≤j≤k, k is a constant;

[0126] Solve the above linear equations to obtain the weight coefficients h of the energy of several particles to be measured. i , the weight coefficient h i By bringing it into the spring energy storage function, the spring energy storage detection value can be calculated based on the spring energy storage function, thereby completing the online monitoring of the spring fatigue degree.

[0127] S105. Determine an energy storage detection value of the high-voltage circuit breaker spring according to the spring energy storage function, where the energy storage detection value is used to characterize the fatigue degree of the spring.

[0128] The energy storage detection value calculated by the spring energy storage function can directly reflect the fatigue degree of the high-voltage circuit breaker spring. This detection value can be used as an important indicator to evaluate the life and performance of the spring, and provide a scientific basis for the maintenance and management of the circuit breaker.

[0129] In some embodiments, after determining the energy storage detection value of the high-voltage circuit breaker spring according to the spring energy storage function, the method further includes:

[0130] Identify the fatigue state of high-voltage circuit breaker springs based on the spring energy storage detection value;

[0131] Fatigue states include: normal state, mild fatigue state, general fatigue state, severe fatigue state, and failure state.

[0132] In some embodiments, identifying a fatigue state of a high-voltage circuit breaker spring according to a spring stored energy detection value includes:

[0133] Get the normal value range of spring energy storage;

[0134] When the spring energy storage detection value is within 90%-100% of the normal value range of the spring energy storage, it is determined that the high-voltage circuit breaker spring is in a normal state;

[0135] When the spring energy storage detection value is within 80%-89% of the normal value range of the spring energy storage, it is determined that the high-voltage circuit breaker spring is in a mild fatigue state;

[0136] When the spring energy storage detection value is within the range of 50%-79% of the normal value of the spring energy storage, it is determined that the high-voltage circuit breaker spring is in a general fatigue state;

[0137] When the spring energy storage detection value is within the range of 25%-49% of the normal value of the spring energy storage, it is determined that the high-voltage circuit breaker spring is in a severe fatigue state;

[0138] When the spring energy storage detection value is lower than 25% of the spring energy storage normal value range, it is determined that the high-voltage circuit breaker spring is in a failure state.

[0139] Among them, 100% of the normal value of energy storage corresponds to 150J, and 0% of the normal value of energy storage corresponds to the theoretical value of the spring in a state of no energy storage at all.

[0140] Preferably, when it is identified that the high-voltage circuit breaker spring is in a severe fatigue state or a failure state, a prompt message is sent to prompt the user to replace the spring to ensure the normal operation of the circuit breaker and the safety and stability of the power system.

[0141] In summary, the present invention analyzes the energy transfer during the operation of the high-voltage circuit breaker, simplifies the entire structure into a particle to be measured using a particle model, collects the vibration signal of the particle to be measured and filters out the noise signal, and then accurately obtains the spring energy storage detection value by constructing the spring energy storage function of the high-voltage circuit breaker, thereby realizing online monitoring of the spring energy.

[0142] The present application also proposes a high-voltage circuit breaker spring fatigue assessment system, the system comprising: a model building unit, a signal acquisition unit, a signal processing unit and a spring fatigue assessment unit;

[0143] A model building unit, used for building a mass point model of a high voltage circuit breaker, wherein the mass point model includes a plurality of mass points to be measured;

[0144] A signal acquisition unit, used to collect vibration signals of a plurality of particles to be measured;

[0145] A signal processing unit, used for decomposing the vibration signal according to the collective empirical mode decomposition to obtain a plurality of vibration signals to be measured;

[0146] The spring fatigue degree evaluation unit is used to determine the energy transfer function and spring energy storage function corresponding to a number of mass points to be measured according to the vibration energy and weight coefficient of a number of vibration signals to be measured; the energy storage detection value of the high-voltage circuit breaker spring is determined according to the spring energy storage function, and the energy storage detection value is used to characterize the fatigue degree of the spring.

[0147] The present application also proposes a readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the following steps:

[0148] Constructing a particle model of a high-voltage circuit breaker, wherein the particle model includes a number of particles to be measured;

[0149] Collect vibration signals of several particles to be measured;

[0150] Decomposing the vibration signal according to the collective empirical mode decomposition to obtain a number of vibration signals to be measured;

[0151] Determine the spring energy storage functions corresponding to the plurality of mass points to be measured according to the vibration energies of the plurality of vibration signals to be measured and the corresponding weight coefficients;

[0152] The energy storage detection value of the high-voltage circuit breaker spring is determined according to the spring energy storage function, and the energy storage detection value is used to characterize the fatigue degree of the spring.

[0153] The present application also proposes a computer device, including a memory and a processor, wherein the memory stores a computer program, and the computer program is executed by the processor to perform the following steps:

[0154] Constructing a particle model of a high-voltage circuit breaker, wherein the particle model includes a number of particles to be measured;

[0155] Collect vibration signals of several particles to be measured;

[0156] Decomposing the vibration signal according to the collective empirical mode decomposition to obtain a number of vibration signals to be measured;

[0157] Determine the spring energy storage functions corresponding to the plurality of mass points to be measured according to the vibration energies of the plurality of vibration signals to be measured and the corresponding weight coefficients;

[0158] The energy storage detection value of the high-voltage circuit breaker spring is determined according to the spring energy storage function, and the energy storage detection value is used to characterize the fatigue degree of the spring.

[0159] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0160] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0161] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the patent of the present application. It should be pointed out that, for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. The above disclosure is only a preferred embodiment of the present invention, and of course it cannot be used to limit the scope of the rights of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope covered by the present invention.

Claims

1. A method for evaluating the fatigue degree of a high-voltage circuit breaker spring, characterized in that: The method comprises: Constructing a particle model of a high-voltage circuit breaker, wherein the particle model includes a plurality of particles to be measured; Collecting vibration signals of the plurality of particles to be measured; Decomposing the vibration signal according to the collective empirical mode decomposition to obtain a plurality of vibration signals to be measured; Determining the spring energy storage functions corresponding to the plurality of mass points to be measured according to the vibration energies of the plurality of vibration signals to be measured and the corresponding weight coefficients; The energy storage detection value of the high-voltage circuit breaker spring is determined according to the spring energy storage function, and the energy storage detection value is used to characterize the fatigue degree of the spring.

2. The method for evaluating the fatigue degree of a high-voltage circuit breaker spring according to claim 1, characterized in that: Decomposing the vibration signal according to the set empirical mode decomposition to obtain a plurality of vibration signals to be measured specifically includes: Performing data cleaning and filtering on the vibration signals of the plurality of mass points to be measured, and obtaining first vibration signals of the plurality of mass points to be measured; Performing empirical mode decomposition on the first vibration signal to obtain corresponding groups of IMF components; The specific groups of IMF components are selected for weighted summation to reconstruct the corresponding vibration signals to be measured.

3. The method for evaluating the fatigue degree of a high-voltage circuit breaker spring according to claim 1, characterized in that: Determining the spring energy storage functions corresponding to the plurality of mass points to be measured according to the vibration energies of the plurality of vibration signals to be measured and the corresponding weight coefficients thereof specifically includes: Determining the vibration energy of the plurality of particles to be measured according to the plurality of vibration signals to be measured; The weight coefficient h of the energy of the several particles to be measured is determined by using the nonlinear least square method. i ; According to the vibration energy of the plurality of mass points to be measured and the weight coefficient h of the energy of the plurality of mass points to be measured i Determine the energy transfer function of the high voltage circuit breaker: In the formula, S d Store energy for the high voltage circuit breaker opening spring; S b To store energy for the buffer spring of high voltage circuit breaker; h i is the weight coefficient of the energy of several particles to be measured; S i is the vibration energy of several particles to be measured; According to the energy transfer function, the spring energy storage functions corresponding to the several particles to be measured are determined: Where S(x) is the spring energy storage function; h0 is the initial energy value of several particles to be measured, S i is the vibration energy of several particles to be measured; h i is the weight coefficient of the energy of several particles to be measured.

4. The method for evaluating the fatigue degree of a high-voltage circuit breaker spring according to claim 3, characterized in that: Determining the vibration energy of the plurality of mass points to be measured according to the plurality of vibration signals to be measured specifically includes: Determining the masses of the plurality of particles to be measured; Collecting the velocities and accelerations of the plurality of particles to be measured; Determine the vibration energy of the plurality of mass points to be measured according to the mass, velocity and acceleration of the plurality of mass points to be measured: In the formula, m i is the mass of the i-th particle to be measured; v i is the velocity of the i-th particle to be measured; a i is the acceleration of the i-th particle to be measured; τ is the sampling time; X is the number of sampling points.

5. The method for evaluating the fatigue degree of a high-voltage circuit breaker spring according to claim 4, characterized in that: Determining the masses of the plurality of mass points to be measured specifically includes: The masses of the plurality of mass points to be measured are determined according to the three-dimensional dimensions of the high-voltage circuit breaker and the material specifications of the parts.

6. The method for evaluating the fatigue degree of a high-voltage circuit breaker spring according to claim 3, characterized in that: The nonlinear least square method is used to determine the weight coefficients h of the energy of the plurality of particles to be measured. i , including: Obtain the objective function of the nonlinear least squares method, the objective function is: In the formula, The actual value of the energy stored in the opening spring; S d is the calculated value of the energy stored in the opening spring; n is the number of measurements; Obtain an optimization criterion for the nonlinear least squares method, wherein the optimization criterion is: Among them, x,x 2 ,···,x n is a linearly independent function within the domain of the error function δ; a j is the coefficient corresponding to the linearly independent function, 1≤j≤k, k is a constant; Solve the objective function and the optimization criterion to obtain the weight coefficient h of the energy of the several particles to be measured. i .

7. The method for evaluating the fatigue degree of a high-voltage circuit breaker spring according to claim 6, characterized in that: After determining the energy storage detection value of the high-voltage circuit breaker spring according to the spring energy storage function, the method further includes: Identifying a fatigue state of the high-voltage circuit breaker spring according to the spring energy storage detection value; The fatigue state includes: normal state, mild fatigue state, general fatigue state, severe fatigue state and failure state.

8. The method for evaluating the fatigue degree of a high-voltage circuit breaker spring according to claim 7, characterized in that: The step of identifying the fatigue state of the high-voltage circuit breaker spring according to the spring energy storage detection value comprises: Get the normal value range of spring energy storage; When the spring energy storage detection value is within 90%-100% of the spring energy storage normal value range, it is determined that the high-voltage circuit breaker spring is in a normal state; When the spring energy storage detection value is within 80%-89% of the spring energy storage normal value range, it is determined that the high-voltage circuit breaker spring is in a light fatigue state; When the spring energy storage detection value is within a range of 50% to 79% of the normal value of the spring energy storage, it is determined that the high-voltage circuit breaker spring is in a general fatigue state; When the spring energy storage detection value is within 25%-49% of the spring energy storage normal value range, it is determined that the high-voltage circuit breaker spring is in a severe fatigue state; When the spring energy storage detection value is lower than 25% of the spring energy storage normal value range, it is determined that the high-voltage circuit breaker spring is in a failure state.

9. The method for evaluating the fatigue degree of a high-voltage circuit breaker spring according to claim 8, characterized in that: Also includes: When the high-voltage circuit breaker spring is in a severe fatigue state or a failure state, a prompt message is sent, and the prompt message is used to prompt the user to replace the spring.

10. A high-voltage circuit breaker spring fatigue assessment system, characterized in that: The system comprises: a model building unit, a signal acquisition unit, a signal processing unit and a spring fatigue degree evaluation unit; The model building unit is used to build a mass point model of the high-voltage circuit breaker, wherein the mass point model includes a plurality of mass points to be measured; The signal acquisition unit is used to acquire vibration signals of the thousand particles to be measured; The signal processing unit is used to decompose the vibration signal according to the collective empirical mode decomposition to obtain a plurality of vibration signals to be measured; The spring fatigue degree evaluation unit is used to determine the energy transfer function and the spring energy storage function corresponding to the plurality of mass points to be measured according to the vibration energy and weight coefficient of the plurality of vibration signals to be measured; and determine the energy storage detection value of the high-voltage circuit breaker spring according to the spring energy storage function, and the energy storage detection value is used to characterize the fatigue degree of the spring.

11. A readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor is caused to execute the steps of the method according to any one of claims 1 to 9.

12. A computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method according to any one of claims 1 to 9.

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