Method, system, equipment and medium for improving mechanical reliability of vacuum breaking type GIS operating mechanism

Abstract

The invention relates to the technical field of mechanical reliability of operating mechanisms of high-pressure gas insulated switchgear, in particular to a method, a system, equipment and a medium for improving mechanical reliability of a vacuum on-off GIS (gas insulated switchgear) operating mechanism, which are characterized in that a high-damping material is integrated in an internal cavity of a key component in a filling manner to form a built-in energy consumption structure; a multi-body dynamic model containing mechanical parameters of the high-damping material is established, the working process of the operating mechanism is simulated through finite element analysis, and the suppression effect of the built-in energy dissipation structure on vibration and stress is verified; and on the basis of the model subjected to simulation verification, an improved Miner rule is adopted to predict the fatigue life of a key part, and a particle swarm optimization algorithm is utilized to optimize integrated parameters of the high-damping material by taking comprehensive fatigue damage and vibration amplitude as an optimization target. Through the integrated design of the material and the structure, the vibration is inhibited from the source, and the dynamic performance, the anti-fatigue capability and the overall mechanical reliability of the operating mechanism are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of mechanical reliability technology for operating mechanisms of high-voltage gas-insulated switchgear, specifically to a method, system, equipment, and medium for improving the mechanical reliability of vacuum-breaking GIS operating mechanisms. Background Technology

[0002] In the design and operation of vacuum-interrupted GIS operating mechanisms, key components such as drive cams, transmission mechanisms, and sliding contact surfaces are subjected to high-frequency operation and complex electromagnetic environments for extended periods, which can easily lead to concentrated impact loads and accumulated fatigue damage, severely restricting equipment lifespan and operational safety.

[0003] However, traditional structural optimization methods mainly rely on increasing material strength or improving geometry to disperse stress concentration, but their effectiveness is limited under high-frequency vibration and shock and multidimensional coupled loads. Furthermore, metal components are prone to generating and propagating microcracks during long-term operation, increasing the risk of failure. In addition, existing research on dynamic response and vibration control largely relies on external damping or vibration isolation devices, which not only increases system complexity but may also lead to additional energy loss and volume limitations, making it difficult to meet the miniaturization and high reliability requirements of GIS equipment. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention provides a method, system, equipment and medium for improving the mechanical reliability of vacuum-operated GIS operating mechanisms.

[0005] Therefore, the technical problem solved by this invention is: how to solve the problem of impact load concentration and fatigue damage accumulation of key components in existing vacuum-interrupted GIS operating mechanisms due to high-frequency vibration and complex electromagnetic environment, as well as the limitations of traditional structural optimization methods and external damping devices in improving mechanical reliability.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for improving the mechanical reliability of a vacuum-interrupted GIS operating mechanism, comprising integrating a high-damping material in the internal cavity of a key component in a filling manner to form a built-in energy-dissipating structure; A multibody dynamics model incorporating the mechanical parameters of high-damping materials was established, and the working process of the operating mechanism was simulated through finite element analysis to verify the effect of the built-in energy dissipation structure on vibration and stress suppression. Based on the model verified by simulation, the fatigue life of key components is predicted by the fatigue damage linear accumulation hypothesis combined with the load spectrum correction factor. The particle swarm optimization algorithm is used to optimize the integrated parameters of high-damping materials with the comprehensive fatigue damage and vibration amplitude as the optimization target.

[0007] As a preferred embodiment of the method for improving the mechanical reliability of the vacuum-interrupted GIS operating mechanism of the present invention, the method includes: establishing a multibody dynamics model that incorporates the mechanical parameters of high-damping materials, including... The mechanical parameters introduced by the model parameterization of high-damping materials include at least Young's modulus and damping ratio; In the simulation, a constitutive model that can characterize the viscoelastic behavior of the material is used to simulate the dynamic mechanical response of the current high-damping material.

[0008] In a preferred embodiment of the method for improving the mechanical reliability of the vacuum-interruptible GIS operating mechanism of the present invention, a particle swarm optimization algorithm is used to optimize the integrated parameters of the high-damping material, with the comprehensive fatigue damage and vibration amplitude as the optimization objective. The population size is set within a target range, and the maximum number of iterations is set within a target range to ensure the convergence and efficiency of the optimization process.

[0009] As a preferred embodiment of the method for improving the mechanical reliability of the vacuum-switched GIS operating mechanism of the present invention, the load spectrum correction factor is constructed as a variable related to the current load level and the nonlinear characteristics of the material, so as to accurately reflect the load sequence effect and the accumulation of nonlinear fatigue damage.

[0010] As a preferred embodiment of the method for improving the mechanical reliability of the vacuum-interrupted GIS operating mechanism of the present invention, wherein the high-damping material is a viscoelastic composite material; Within the operating frequency and temperature range of the operating mechanism, the loss factor of the viscoelastic composite material is stably maintained above a set minimum value to ensure its high energy dissipation performance, where the minimum value is 0.25.

[0011] As a preferred embodiment of the method for improving the mechanical reliability of the vacuum-interrupting GIS operating mechanism of the present invention, the optimization objective is specifically configured as minimizing a comprehensive evaluation function; The comprehensive evaluation function is a weighted combination of fatigue damage index and vibration amplitude index.

[0012] As a preferred embodiment of the method for improving the mechanical reliability of the vacuum-interrupted GIS operating mechanism of the present invention, the target number range is 30 to 100; the target range is 100 to 300 times.

[0013] In a second aspect, the present invention provides a method for improving the mechanical reliability of a vacuum-interrupted GIS operating mechanism, comprising: a filling module for integrating high-damping material in the internal cavity of a key component in a filling manner to form a built-in energy-dissipating structure; The simulation and verification module is used to establish a multibody dynamics model that includes the mechanical parameters of high-damping materials, and to simulate the working process of the operating mechanism through finite element analysis to verify the effect of the built-in energy dissipation structure on vibration and stress suppression. The optimization module is used to predict the fatigue life of key components based on the simulation-verified model, using the fatigue damage linear accumulation hypothesis combined with the load spectrum correction factor, and to optimize the integrated parameters of high-damping materials by using the particle swarm optimization algorithm with the comprehensive fatigue damage and vibration amplitude as the optimization target.

[0014] Thirdly, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method described above.

[0015] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method described above.

[0016] The beneficial effects of this invention are as follows: By filling the cavity inside a high-stress critical component with a high-damping viscoelastic composite material, a built-in energy dissipation structure is constructed, which can effectively dissipate energy directly from the vibration source. The invention is then verified by combining a parameterized multibody dynamics model and a viscoelastic constitutive model. Furthermore, a load spectrum correction factor is introduced to improve the fatigue prediction accuracy. Finally, a particle swarm optimization algorithm is used to perform multi-objective collaborative optimization of the material integration parameters, thereby significantly reducing the operating impact stress and vibration amplitude without significantly changing the structure. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the overall process for a method to improve the mechanical reliability of a vacuum-interrupted GIS operating mechanism.

[0019] Figure 2 This is a schematic diagram showing the integrated location of a high-damping material.

[0020] Figure 3 This is a comparison diagram of the fatigue life distribution of components under the present invention and the conventional design. Detailed Implementation

[0021] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0022] Example 1, referring to Figure 1 This is the first embodiment of the present invention, which provides a method for improving the mechanical reliability of a vacuum-interrupted GIS operating mechanism, comprising: S100: High-damping material is integrated into the internal cavity of key components by filling to form a built-in energy dissipation structure; S200: Establish a multibody dynamics model that includes the mechanical parameters of high-damping materials, and simulate the working process of the operating mechanism through finite element analysis to verify the effect of the built-in energy dissipation structure on vibration and stress suppression. S300: Based on the model verified by simulation, the fatigue life of key components is predicted by the fatigue damage linear accumulation hypothesis (Miner's rule) combined with the load spectrum correction factor. The particle swarm optimization algorithm is used to optimize the integrated parameters of high-damping materials with the comprehensive fatigue damage and vibration amplitude as the optimization target.

[0023] It should be noted that during the opening and closing process, the operating mechanism of high-voltage switchgear not only has to withstand severe mechanical shock and vibration, but is also prone to fatigue damage and crack propagation in critical structural components. However, traditional vibration reduction measures often employ external dampers, which not only occupy space but also increase the complexity of the mechanism, and it is difficult to form an effective stress wave dissipation path within the mechanism. Furthermore, existing life prediction methods often rely on simplified load spectra and empirical models, which not only fail to fully consider the impact of vibration and stress coupling on cumulative material damage under actual operating conditions, but also lead to insufficient accuracy in fatigue life prediction.

[0024] Therefore, to address the aforementioned problems, the steps S100-S300 of this method are as follows: A highly efficient built-in energy-dissipating structure is constructed by integrating high-damping materials into key high-stress components, fundamentally improving the dynamic stability of the mechanism. Simultaneously, finite element analysis and multibody dynamics coupled modeling are introduced to provide a quantitative basis for the design of the damping materials. Furthermore, the particle swarm optimization algorithm is used to optimize the parameters of the high-damping materials, and an improved Miner's rule is combined to predict fatigue life, effectively extending the maintenance cycle and service life of the equipment.

[0025] Example 2, refer to Figure 1As an embodiment of the present invention, based on the above embodiment, a method for improving the mechanical reliability of a vacuum-interrupted GIS operating mechanism is provided.

[0026] In this embodiment of the invention, step S100 involves integrating high-damping material into the internal cavity of the key component in a filling manner to form a built-in energy-dissipating structure, including the following steps A1-A2: It should be noted that the key components were not selected arbitrarily, but rather by employing modal analysis and frequency response analysis methods to understand the vibration characteristics of each key component of the operating mechanism. Based on the component's operating frequency, stress conditions, and vibration intensity during operation, components prone to fatigue and damage were identified as key components.

[0027] It should be further explained that modal analysis is used to obtain the first-order natural frequencies of each component to reflect the stiffness and mass distribution of the components. For example, the first-order natural frequency of the insulating tie rod is 650Hz, the first-order natural frequency of the transmission connecting rod is 750Hz, the first-order natural frequency of the inner sleeve is 1100Hz, and the first-order natural frequency of the outer sleeve is 290Hz. Furthermore, frequency response analysis is used to apply excitation force within the main operating frequency range of the mechanism (200-350Hz) to analyze the dynamic response of each component (focusing on dynamic stress amplitude and vibration displacement), thereby determining the vibration characteristics and stress distribution of each component under actual working conditions. For example, in the outer sleeve: there is severe stress concentration at the circumferential weld between the outer sleeve body and the flange, with a stress concentration factor as high as 3.5. At resonance, the dynamic stress... The vibration pressure reaches 30 MPa, close to the material's fatigue limit (32 MPa), and the vibration displacement is greatest at this point, indicating that the outer sleeve is highly susceptible to fatigue damage at this location. The insulating tie rod exhibits stress concentration at the threaded end, with a stress concentration factor of 2.9. Under vibration intensity, the dynamic stress is 28 MPa, indicating that although stress concentration exists in the insulating tie rod, there is still a certain safety margin under current operating conditions. The transmission connecting rod shows stress concentration at the pin hole connection, with a stress concentration factor of 2.5. Under vibration intensity, the dynamic stress is low at 18 MPa, indicating that the stress level of the transmission connecting rod is relatively low, and the fatigue risk is small. The inner sleeve has a simple structure with no obvious stress concentration points. Under vibration intensity, the dynamic response is weak, with a dynamic stress of only 12 MPa, far below the material's fatigue limit, indicating that the fatigue risk of the inner sleeve is very low. In summary, the outer sleeve is the component most prone to fatigue and damage, so reliability improvement should be prioritized. The insulating tie rod has some stress concentration, but the fatigue risk is relatively low, so it also needs attention. The transmission connecting rod and the inner sleeve have low fatigue risk and can be temporarily set aside as key improvement targets.

[0028] like Figure 2The diagram shows the integrated location of a high-damping material. In the diagram: the insulating tie rod is a key component of the GIS operating mechanism, primarily serving to connect and transmit mechanical motion while providing electrical insulation; the outer sleeve is a crucial external protective structure for the operating mechanism, used to house and protect other internal components; the shaft pin connects different mechanical components, enabling relative movement and transmitting torque and force; the inner sleeve is a key internal component of the operating mechanism, typically used to house and guide the movement of other components; the high-damping material absorbs and dissipates vibration energy, reducing dynamic stress and vibration amplitude, thereby improving mechanical reliability and fatigue resistance; the overtravel spring provides additional elasticity, ensuring sufficient pressure on the contacts during the breaking process, thus guaranteeing good electrical contact; the vacuum-operated contact is a key component of the vacuum circuit breaker, used to break and close circuits in a vacuum environment.

[0029] A1: High damping material is a viscoelastic composite material.

[0030] It is understandable that viscoelastic materials (such as glass fiber reinforced rubber, polyurethane rubber, etc.) combine the characteristics of viscous liquids (dissipating energy) and elastic solids (storing energy), while composite materials (such as carbon fiber reinforced epoxy resin, glass fiber reinforced nylon, etc.) can synergistically improve the damping performance, mechanical strength and environmental stability of materials by combining materials with different properties.

[0031] A2: Within the operating frequency and temperature range of the operating mechanism, the loss factor of the viscoelastic composite material is stably maintained above a set minimum value to ensure its high energy consumption performance.

[0032] Preferably, the minimum value is 0.25.

[0033] It should be noted that: ① Through damping performance analysis: In the 100–500 Hz range, the tanδ (loss factor) of glass fiber reinforced rubber is the highest or near the highest at all temperatures, exhibiting the best performance. Although polyurethane's performance is comparable to glass fiber reinforced rubber at room temperature, its stability is inferior to glass fiber reinforced rubber when the frequency changes. ② Through environmental tolerance analysis: Polyurethane: Its performance is extremely sensitive to temperature. At low temperatures (-30℃), tanδ drops sharply (<0.1), while the storage modulus becomes very high (meaning the material hardens and loses its damping effect). At high temperatures (80℃), its performance also deteriorates significantly, indicating that its environmental tolerance is unqualified. Glass fiber reinforced rubber: In the entire temperature range (-30℃ to 80℃), tanδ remains at a high level (0.25~0.45) with a gradual change, indicating excellent environmental tolerance and stable operation in harsh environments. Epoxy rubber: Although it has a high modulus and good structural strength, its tanδ is always very low (<0.06), resulting in poor damping performance and thus inability to effectively absorb vibration energy. ③ Analysis of mechanical performance parameters: Glass fiber reinforced rubber has a moderate storage modulus, providing necessary support without affecting vibration transmission and energy dissipation due to excessive stiffness. Epoxy resin has an excessively high modulus, making it too rigid. Polyurethane's modulus changes too much with temperature, resulting in unstable mechanical properties.

[0034] Based on the above analysis, it can be understood that high-damping materials refer to materials that meet the following parameters: ① Material dimensions: outer diameter: 35mm, inner diameter: 25mm; ② Material parameters: 1) Matrix rubber: glass fiber reinforced rubber; 2) Key material parameters: tensile strength: 35-50MPa, elongation at break: 250%~400%, elastic modulus: 1.2-2.0GPa, and compression set (under 70℃×22 hours): ≤15%.

[0035] It is important to emphasize that after injecting the high-damping material, it is necessary to ensure that the material has good adhesion to the surface of the component to prevent the material from falling off during operation.

[0036] Preferably, step S100 breaks away from the traditional mindset of simply strengthening the structure or replacing it with high-strength materials to combat fatigue. Instead, it adopts a strategy of channeling rather than blocking. By filling the cavity inside the key component with high-damping material, when the component vibrates due to operational impact, its vibration energy is transferred to the internal high-damping material. Under periodic stress, the polymer chains or internal microstructure of this material generate severe internal friction, irreversibly converting harmful mechanical kinetic energy into heat energy and dissipating it into the environment, thereby weakening the transmission and amplification of vibration waves at the source.

[0037] In this embodiment of the invention, step S200 establishes a multibody dynamics model including the mechanical parameters of the high-damping material, and simulates the working process of the operating mechanism through finite element analysis to verify the effect of the built-in energy dissipation structure on vibration and stress suppression, including the following steps B1-B2: It should be noted that step S200 is to simulate the complex motion relationships and interaction forces between rigid / flexible components during operation by establishing a multibody dynamics model. Further integration with finite element analysis is to precisely solve the stress distribution, strain, and vibration response of key components under high-frequency impact loads. That is, when a precise mechanical model of the high-damping material is integrated into the model, the simulation system can calculate how vibration energy is absorbed and dissipated by the material, thereby quantitatively evaluating its effect on vibration and stress suppression.

[0038] B1: Mechanical parameters introduced by the parameterization of the model of high-damping materials, including at least Young's modulus and damping ratio; Understandably, step B1 aims to transform the high-damping material from a conceptual material into a digital material that can be recognized and calculated in simulation software. Young's modulus (elastic modulus) defines the material's stiffness during elastic deformation, i.e., its ability to resist deformation, directly affecting the overall stiffness distribution and vibration transmission characteristics of the component. The damping ratio is a dimensionless parameter quantifying the material's ability to dissipate vibrational energy; a higher value indicates that the material dissipates more energy per vibration cycle. By introducing these two core parameters, the simulation model can realistically simulate the composite mechanical behavior of high-damping materials, which provide both sufficient stiffness and efficient energy dissipation.

[0039] Preferably, this step is to reflect the physical nature of the behavior of highly damped materials in the simulation, so as to avoid the huge errors caused by simply treating highly damped materials as pure elastic bodies or pure viscous bodies.

[0040] The reference value ranges for exemplary test conditions are shown in Table 1 below: Table 1. Example of Reference Value Range

[0041] B2: In the simulation, a constitutive model that can characterize the viscoelastic behavior of the material is used to simulate the dynamic mechanical response of the current high-damping material.

[0042] Preferably, a viscoelastic constitutive model is adopted, namely the standard linear solid model.

[0043] It should be noted that ordinary linear elastic constitutive models are simply unable to describe the complex nonlinear and frequency-dependent mechanical behavior of highly damped materials (especially viscoelastic materials).

[0044] Preferably, a constitutive model characterizing the viscoelastic behavior of the material is used to capture the true dynamic response of the high-damping material, thereby improving the prediction accuracy of the simulation model over a wide frequency range and ensuring that the simulation results are in high agreement with the physical test results, thus laying a solid foundation for subsequent lifetime prediction and optimization.

[0045] In this embodiment of the invention, step S300, based on the model verified by simulation, uses the fatigue damage linear accumulation hypothesis (Miner's rule) combined with the load spectrum correction factor to predict the fatigue life of key components, and uses the particle swarm optimization algorithm to optimize the integrated parameters of the high-damping material with the comprehensive fatigue damage and vibration amplitude as the optimization objective, including the following steps C1-C3: Understandably, this step involves using the high-precision model verified in step S200 to calculate the dynamic stress and vibration response of key components under different working conditions and loads. Then, by inputting these response data into a modified linear cumulative fatigue damage model, the current fatigue life is calculated. Next, the integrated parameters of the high-damping material are adjusted using a particle swarm optimization algorithm, and simulation and prediction are performed again. Finally, through iterative optimization, the optimal parameter configuration that maximizes the lifespan and vibration reduction effect is found.

[0046] C1: The load spectrum correction factor is constructed as a variable related to the current load level and the nonlinear properties of the material, in order to accurately reflect the load sequence effect and the accumulation of nonlinear fatigue damage.

[0047] It should be noted that the traditional Miner's rule assumes a simple linear relationship between fatigue damage and the number of load cycles, and ignores the influence of the load sequence. This is inconsistent with the actual damage behavior of composite materials and highly damped materials. Therefore, this method introduces a load spectrum correction factor. The linear model was upgraded to a nonlinear damage model.

[0048] Specifically, the formula for calculating the load spectrum correction factor is as follows: In the formula: This is the load spectrum correction factor; Let be the equivalent stress amplitude (load level) under the i-th load condition; is the reference stress amplitude; m is the material nonlinearity index, which is a parameter obtained by fitting through material fatigue tests. For glass fiber reinforced rubber, its value is usually between 1.5 and 3.0; C is the load interaction coefficient.

[0049] C2: Set the population size within a target range and the maximum number of iterations within a target range to ensure the convergence and efficiency of the optimization process.

[0050] Preferably, the target quantity range is 30-100; the target range is 100-300 times.

[0051] Understandably, Particle Swarm Optimization (PSO) is a global optimization algorithm that simulates the foraging behavior of bird flocks. Its convergence (whether it can find the optimal solution) and efficiency (the speed at which it finds the optimal solution) largely depend on the core control parameters: the population size and the maximum number of iterations. This method sets a robust and proven range of operating parameters for the PSO algorithm by setting the population size to 30-100 and the number of iterations to 100-300. This ensures stable and efficient convergence to a high-quality global optimum or near-optimal solution during the optimization process, while also avoiding optimization failures or wasted computational resources due to improper parameter settings.

[0052] C3: The optimization objective is specifically configured as minimizing a comprehensive evaluation function; The comprehensive evaluation function is a weighted combination of fatigue damage index and vibration amplitude index.

[0053] The specific optimization objective function is as follows: In the formula: To optimize the objective function; D is the total fatigue damage; A is the vibration amplitude of each component, which is usually measured by an accelerometer or displacement sensor; α and β are weighting factors, and are 0.7 and 0.3 respectively.

[0054] Understandably, by minimizing the above objective function, the optimal balance point that can simultaneously take into account long life and low vibration can be automatically found. After finding the optimal balance point, a set of corresponding optimal design variables (integrated parameters of high damping materials) are output. The optimal design variables include, but are not limited to, the optimal filling shape, the optimal filling position, and the optimal filling thickness, which can be used as the input basis for the manufacturing process.

[0055] The formula for calculating the total fatigue damage is as follows: In the formula: D represents the total fatigue damage degree; Let i be the cycle number under the i-th load condition; Let represent the fatigue life of the material under the i-th load condition; n represents the number of load conditions.

[0056] Furthermore, to verify the beneficial effects of this method, the fatigue life distribution of components under traditional design was compared, and the comparison results are shown in the figure below. Figure 3As shown, it should be noted that the curve before optimization represents the distribution of component fatigue life under traditional design. It can be seen that the life value before optimization is generally low, and most of them are concentrated in the short life region on the left. The curve after optimization (using this method) shifts to the right as a whole. Not only is the average life extended, but the shortest life (the left end of the curve) is also significantly improved, which greatly enhances the overall reliability and safety limit of the equipment.

[0057] In summary, this method constructs an internal energy-dissipating structure by filling the cavity inside a high-stress critical component with a high-damping viscoelastic composite material, thereby achieving effective energy dissipation directly from the vibration source. The method is further validated by simulation using a parametric multibody dynamics model and a viscoelastic constitutive model. A load spectrum correction factor is then introduced to improve fatigue prediction accuracy. Finally, a particle swarm optimization algorithm is used to perform multi-objective collaborative optimization of the material integration parameters, thereby significantly reducing operational impact stress and vibration amplitude without drastically altering the structure.

[0058] Example 3 is an embodiment of the present invention, which provides a system for improving the mechanical reliability of a vacuum-interrupted GIS operating mechanism, comprising: Infill modules are used to integrate high-damping materials in the internal cavities of critical components to form built-in energy-dissipating structures. The simulation and verification module is used to establish a multibody dynamics model that includes the mechanical parameters of high-damping materials, and to simulate the working process of the operating mechanism through finite element analysis to verify the effect of the built-in energy dissipation structure on vibration and stress suppression. The optimization module is used to predict the fatigue life of key components based on the simulation-verified model, using the fatigue damage linear accumulation hypothesis combined with the load spectrum correction factor, and to optimize the integrated parameters of high-damping materials by using the particle swarm optimization algorithm with the comprehensive fatigue damage and vibration amplitude as the optimization target.

[0059] This embodiment also provides an electronic device suitable for improving the mechanical reliability of a vacuum-interrupted GIS operating mechanism, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the method for improving the mechanical reliability of the vacuum-interrupted GIS operating mechanism as proposed in the above embodiment.

[0060] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the method for improving the mechanical reliability of a vacuum-interrupting GIS operating mechanism as proposed in the above embodiments.

[0061] The storage medium proposed in this embodiment and the method for improving the mechanical reliability of the vacuum-switched GIS operating mechanism proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0062] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0063] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for improving mechanical reliability of a vacuum interrupter type GIS operating mechanism, characterized by: The method comprises the following steps: a built-in energy dissipation structure is formed by filling high damping material in the internal cavity of a key component; a multi-body dynamics model containing the mechanical parameters of the high damping material is established, and the working process of the operating mechanism is simulated by finite element analysis to verify the vibration and stress suppression effect of the built-in energy dissipation structure; based on the model verified by simulation, the fatigue life of the key component is predicted by adopting the fatigue damage linear accumulation hypothesis combined with a load spectrum correction factor, and the integration parameters of the high damping material are optimized by using a particle swarm optimization algorithm with the comprehensive fatigue damage and vibration amplitude as the optimization target.

2. A method of improving mechanical reliability of an operating mechanism of a vacuum interrupter type GIS as claimed in claim 1, characterized in that: The method of establishing the multi-body dynamics model containing the mechanical parameters of the high damping material comprises the following steps: the mechanical parameters introduced by the model parameterization of the high damping material at least include Young's modulus and damping ratio; a constitutive model capable of representing the viscoelastic behavior of the material is used in simulation to simulate the dynamic mechanical response of the current high damping material.

3. A method of improving mechanical reliability of an operating mechanism of a vacuum interrupter type GIS as claimed in claim 2, characterized in that: The method of optimizing the integration parameters of the high damping material by using the particle swarm optimization algorithm with the comprehensive fatigue damage and vibration amplitude as the optimization target comprises the following steps: the population size is set in a target number interval, and the maximum number of iterations is set in a target range.

4. A method of improving mechanical reliability of an operating mechanism of a vacuum interrupter type GIS as claimed in claim 3, characterized in that: The load spectrum correction factor is constructed as a variable related to the current load level and the nonlinear characteristics of the material, which accurately reflects the load sequence effect and nonlinear fatigue damage accumulation.

5. A method of improving mechanical reliability of an operating mechanism of a vacuum interrupter lifting type GIS as claimed in claim 4, characterized in that: The high damping material is a viscoelastic composite material; The loss factor of the viscoelastic composite material is stably maintained above a set minimum value in the operating frequency and temperature range of the operating mechanism, wherein the minimum value is 0.

25.

6. A method of improving mechanical reliability of an operating mechanism of a vacuum interrupter type GIS as claimed in claim 5, characterized in that: The optimization target is specifically configured as a minimum comprehensive evaluation function; The comprehensive evaluation function is a combination of the weighted fatigue damage index and the vibration amplitude index.

7. A method of improving the mechanical reliability of an operating mechanism of a vacuum interrupter type GIS as claimed in claim 6, characterized in that: The target number interval is 30-100, and the target range is 100-300 times.

8. A system for improving the short time high frequency energy storage efficiency, applying the method for improving the mechanical reliability of a vacuum interrupter opening type GIS operating mechanism according to any one of claims 1 to 7, characterized in that, The method comprises the following steps: a filling module is used to integrate the high damping material in the internal cavity of the key component in a filling manner to form a built-in energy dissipation structure; a simulation verification module is used to establish a multi-body dynamics model containing the mechanical parameters of the high damping material, and simulate the working process of the operating mechanism by finite element analysis to verify the vibration and stress suppression effect of the built-in energy dissipation structure; an optimization module is used to predict the fatigue life of the key component by adopting the fatigue damage linear accumulation hypothesis combined with a load spectrum correction factor based on the model verified by simulation, and optimize the integration parameters of the high damping material by using a particle swarm optimization algorithm with the comprehensive fatigue damage and vibration amplitude as the optimization target. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The processor executes the computer program to realize the steps of the method for improving the mechanical reliability of the vacuum interrupter type GIS operating mechanism according to any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the method for improving the mechanical reliability of the vacuum interrupter type GIS operating mechanism according to any one of claims 1 to 7.

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