Method for evaluating storage reliability of central pull rod type locking and separating mechanism

Abstract

The invention provides a storage reliability evaluation method of a central pull rod type locking and separating mechanism, and relates to the technical field of storage reliability evaluation of an electric connector, and the method comprises the steps: obtaining unlocking force degradation data under different temperature conditions through a plurality of groups of accelerated storage tests; establishing an unlocking performance degradation model fusing material characteristics, geometric parameters and environmental stress; a particle swarm algorithm and a least square method are adopted to cooperatively optimize model parameters, and a parameter range is narrowed and estimation precision is improved through an adaptive iteration strategy; and generating performance parameters based on a Monte Carlo sampling method, calculating the reliability, drawing a curve, and evaluating the storage reliability level. Through the global search capability of the particle swarm algorithm and the local optimization characteristic of the least square method, the defect that a traditional parameter estimation method is prone to falling into local optimum in a nonlinear and high-dimensional model is overcome, and the parameter estimation efficiency and the model accuracy are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of storage reliability evaluation of electrical connectors, and particularly to a method for evaluating the storage reliability of a central pull rod type locking and separating mechanism. Background Art

[0002] An electrical connector is a basic electronic component used for electrical signal transmission and energy transfer, and is widely used in various weapon equipment systems. As a key component for realizing inter-stage signal separation in a model equipment system, the central pull rod type separating electrical connector is widely used in the inter-stage electrical system of the model equipment. In the central pull rod type separating electrical connector, its separation process is mainly divided into two stages: unlocking and separating. As the key component locking and separating mechanism for realizing the unlocking of the central pull rod type separating electrical connector, it is mainly composed of components such as locking steel balls, springs, and ejector rods inside. The performance changes of each component will directly affect the overall unlocking performance. Therefore, the unlocking reliability of the locking and separating mechanism is crucial for the entire model equipment system.

[0003] During long-term storage, affected by environmental stress, subtle plastic deformation occurs on the surface of the metal material of the locking and separating mechanism, and at the same time, the elastic force of the spring decreases, resulting in the performance of the locking and separating mechanism for unlocking being affected. At present, the research on the locking and separating mechanism mainly focuses on the performance research under working conditions, or the performance degradation of the electromagnetic unlocking mechanism and some internal components under storage conditions has been studied, but the research on the degradation and reliability life of the locking and separating mechanism under storage conditions has not been involved yet. Therefore, the present invention provides a method for evaluating the storage reliability of a locking and separating mechanism for a central pull rod type separating electrical connector based on the particle swarm algorithm.

[0004] The commonly used parameter estimation methods are the maximum likelihood method and the least squares method. The optimal solution is determined through optimization algorithms such as the Newton method and the stochastic gradient descent method. However, when using these two methods to solve, the estimated results can only obtain a single optimal solution and cannot obtain the overall optimal solution, and are mainly applicable to linear regression problems, with strong restrictions on the constraint conditions and the form of the objective function of the problem, and poor flexibility. Summary of the Invention

[0005] In order to solve the technical problems of the lack of research on the performance degradation and reliability life of the locking and separating mechanism under long-term storage conditions in the prior art, and the limitations of traditional parameter estimation methods in terms of global optimization, non-linear modeling, and flexibility, the present invention provides a method for evaluating the storage reliability of a central pull rod type locking and separating mechanism.

[0006] The technical solution provided by the present invention is as follows:

[0007] A method for evaluating the storage reliability of a central tie-rod type locking and separating mechanism provided by the present invention includes:

[0008] S1. Conduct multiple groups of accelerated storage tests on the locking and separating mechanism. Each group of tests is carried out under different environmental temperature conditions, measure the unlocking force at different time points, and obtain the degradation data of the unlocking force.

[0009] S2. Based on the unlocking force degradation data, establish an unlocking performance degradation model including material properties, geometric parameters and environmental stress-related variables.

[0010] S3. Use the particle swarm algorithm and the least square method to estimate the parameters of the reliability evaluation model.

[0011] S4. Based on the best parameter value combination and the actual storage environment parameters, generate performance parameters at multiple time points through the Monte Carlo sampling method, calculate the reliability at each time point and draw the reliability curve to evaluate the reliability level of the locking and separating mechanism in the storage environment.

[0012] The beneficial effects brought by the technical solution provided by the present invention at least include:

[0013] (1) In the present invention, by designing multiple groups of accelerated storage tests, collecting the unlocking force degradation data of the locking and separating mechanism under different temperature conditions, and combining the particle swarm algorithm to globally optimize and estimate the key parameters of the reliability model, the problem that the traditional method can only perform local optimization is solved. This method quickly converges to the best parameter combination through the intelligent algorithm, significantly improves the efficiency of parameter estimation and the accuracy of the model, provides reliable input for the subsequent Monte Carlo simulation, and finally realizes the rapid and accurate evaluation of the storage reliability level.

[0014] (2) In the present invention, the established unlocking performance degradation model comprehensively considers multi-dimensional variables such as material properties, geometric parameters and environmental stress, and through the collaborative optimization of the particle swarm algorithm and the least square method, realizes the accurate estimation of non-linear and high-dimensional parameters. This method breaks through the limitations of the traditional linear regression model and can more truly reflect the complex degradation behavior of the locking mechanism in the storage environment, providing a theoretical basis for reliability prediction.

[0015] (3) In the present invention, based on the Monte Carlo sampling method, a large number of simulation samples are generated, and the reliability at each time point is dynamically calculated in combination with the parameter estimation results and the curve is drawn, intuitively reflecting the reliability attenuation trend of the locking mechanism during the storage period. This method not only reduces the cost and cycle of the actual long-term storage test, but also provides data support for the formulation of the maintenance strategy of the equipment system, ensuring the stability and safety of the central tie-rod type separating electrical connector in key tasks. Description of the Drawings

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0017] Figure 1 It is a schematic flow chart of a method for evaluating the storage reliability of a central pull rod type locking and separating mechanism provided by an embodiment of the present invention;

[0018] Figure 2 It is a schematic structural diagram of a certain circular central pull rod type separating electrical connector product provided by an embodiment of the present invention;

[0019] Figure 3 It is a schematic diagram of the mating state of a certain circular central pull rod type separating electrical connector provided by an embodiment of the present invention;

[0020] Figure 4 It is a sectional view of the locking and separating mechanism of a certain circular central pull rod type separating electrical connector provided by an embodiment of the present invention.

[0021] In the figure: 1. Socket cable cover; 2. Jack; 3. Socket moving layer; 4. Pin; 5. Plug cable cover; 6. Locking and separating mechanism; 7. Plug fixed insulating plate; 8. Plug energy storage spring; 9. Socket energy storage spring; 10. Socket fixed insulating plate; 11. Locking sleeve; 21. Push rod; 22. Steel ball; 23. Sheath; 24. Sheath spring; 25. Connecting pipe sleeve; 26. Screw; 27. Pull rod spring; 28. Bushing; 29. Handwheel. Specific embodiments

[0022] The following will describe the technical solutions in the present invention in conjunction with the accompanying drawings.

[0023] To make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail in conjunction with the accompanying drawings and specific embodiments.

[0024] To make the method provided by the embodiments of the present invention easier to understand, the following takes a circular center pull-rod type separable electrical connector product as an example for illustration. The center pull-rod type separable electrical connector mainly consists of three parts: a plug, a socket, and a locking and separating mechanism. The plug part includes a plug cable cover 5 and a plug fixed insulating plate 7, which are used to protect the internal structure and fix the pins 4. The socket part includes a socket cable cover 1, a socket movable layer 3, and a socket fixed insulating plate 10. The socket movable layer 3 can achieve dynamic adjustment during mating, and the socket fixed insulating plate 10 is used to support the jacks 2. The locking and separating mechanism 6 cooperates with the ejector rod 21 through a locking sleeve 11 to achieve the locking function. The inner conical surface of the locking sleeve 11 contacts the steel balls 22 to form a mechanical limiting structure. The locking and separating mechanism is installed on the housing of the plug, as Figures 2 - 3 shown. The figure is a schematic structural diagram of the circular center pull-rod type separable electrical connector product.

[0025] In the center pull-rod type separable electrical connector, the key component for unlocking is the locking and separating mechanism 6 therein, as Figure 4 shown is a sectional view of the locking and separating mechanism in the locked state. Among them, there are 3 locking steel balls 22 evenly surrounded around the ejector rod 21. Under the action of the sheath spring 24, the plug energy storage spring 8, and the socket energy storage spring 9, the 3 locking steel balls 22 are stuck in the middle position between the locking sleeve 11 and the ejector rod 21, playing a role of limiting and locking. At the same time, the pull-rod spring 27 is in a pre-tightened state, restricting the axial movement of the ejector rod.

[0026] Working principle of the locking and separating mechanism of the center pull-rod type separable electrical connector: When the pull-rod 29 is pulled, the pull-rod spring 27 is compressed. At the same time, the ejector rod 21 overcomes the axial force exerted on it by the steel balls 22 and moves to the right. When the left-end step surface of the ejector rod 21 moves to below the steel balls 22, the steel balls 22 are pressed into the step surface under the action of the inner conical surface of the locking sleeve 11. At this time, the constraint between the locking sleeve and the locking and separating mechanism is released, thereby realizing the unlocking of the locking and separating mechanism.

[0027] The embodiments of the present invention provide a method for evaluating the storage reliability of a center pull-rod type locking and separating mechanism. The processing flow may include the following steps:

[0028] S1. Conduct multiple groups of accelerated storage tests on the locking and separating mechanism. Each group of tests is carried out under different environmental temperature conditions, measure the unlocking force at different time points, and obtain the degradation data of the unlocking force;

[0029] S2. Based on the unlocking force degradation data, establish an unlocking performance degradation model including material characteristics, geometric parameters, and environmental stress-related variables;

[0030] S3. Use the particle swarm optimization algorithm and the least squares method to estimate the parameters of the reliability evaluation model;

[0031] S4. Based on the optimal parameter value combination and the actual storage environment parameters, generate the performance parameters at multiple time points through the Monte Carlo sampling method, calculate the reliability at each time point, and draw the reliability curve to evaluate the reliability level of the locking and separating mechanism under the storage environment.

[0032] In a possible implementation, in S1, the accelerated storage test divides the electrical connector samples into n groups, each group contains m locking and separating mechanisms, and each group of tests is carried out at a fixed environmental temperature, and different temperature conditions are used between different groups; the unlocking force of each locking and separating mechanism in each group is regularly measured through the unlocking force test device until the preset test duration is reached.

[0033] In a possible implementation, the unlocking performance degradation model in S2:

[0034]

[0035] Among them, F js (t) is the unlocking force of the locking and separating mechanism measured at the test time t under the measured environmental temperature T0, F f is the friction force between the steel ball and the ejector rod, F N is the normal pressure of the ejector rod on the steel ball, γ is the inclination angle of the ejector rod conical surface, θ is the contact angle between the lock sleeve and the steel ball, K1, K2, K3, K4 are correction coefficients, r 21 is the equivalent radius of the ejector rod, r 22 is the radius of the locking steel ball, f 22-21 is the friction coefficient between the steel ball and the ejector rod, χ is a parameter related to the material, v c is the deformation rate of the ejector rod, is the contact stress between the steel ball and the ejector rod, η is a parameter related to the material, E 21 and E 22 are the elastic moduli of the ejector rod and the locking steel ball respectively, ν 21 and ν 22 are the Poisson's ratios of the ejector rod and the locking steel ball respectively, F9(t) is the elastic force of the socket energy storage spring at time t, F8(t) is the elastic force of the plug energy storage spring at time t, F 24 (t) is the elastic force of the sheath spring at time t, F 27 (t) is the elastic force of the pull rod spring at time t, F9(0), F8(0), F 24 (0), F 27 (0) are the initial elastic forces of the socket energy storage spring, the plug energy storage spring, the sheath spring and the pull rod spring respectively, d9, d8, d 24 , d 27are the wire diameters of the socket energy storage spring, the plug energy storage spring, the sheath spring, and the pull rod spring respectively, D9, D8, D 24 , D 27 are the mean diameters of the socket energy storage spring, the plug energy storage spring, the sheath spring, and the pull rod spring respectively, c9, c8, c 24 , c 27 The spring index of the socket energy storage spring, the plug energy storage spring, the sheath spring, and the pull rod spring respectively is expressed as the ratio of the mean diameter of the spring to the wire diameter of the spring, p s is the degree of dislocation pile-up of the spring, H 0-27 , H 2-27 are the free height and the working height of the pull rod spring respectively, S l is the displacement of the pull rod movement, k 27 (0) is the stiffness of the pull rod spring at the initial moment, Z1 is the random variable parameter related to the material, and W1 is the ratio of the activation energy of the ejector deformation to the Boltzmann constant, is v c 's logarithmic mean, is v c 's logarithmic standard deviation, where the parameters to be estimated are f 32-31 , χ, S l , η, Z1, and W1.

[0036] In a possible implementation, S3 further includes:

[0037] Parameter estimation of f 22-21 , χ, S l , η, Z1, and W1 of the reliability evaluation model, and the specific process is as follows:

[0038] S301. Establish a fitness function:

[0039]

[0040] Among them, represents the fitting value at the moment t corresponding to the unlocking force measured for each electrical connector in each group at the i-th measurement, represents the average value of the unlocking force measured for each electrical connector in each group at the i-th measurement, and N represents the number of times the unlocking force of each electrical connector in each group is measured;

[0041] When performing unlocking reliability parameter estimation, given the initial range of the parameters, set the initial values of the number of particles and the number of evolutions in the particle swarm algorithm and the maximum number of iterations, and substitute the unlocking forces measured for each locking and separating mechanism in each group at different times, the unlocking reliability evaluation model of each group of electrical connectors, and the fitness function of each group of locking and separating mechanisms into the particle swarm algorithm for update calculation. During the iteration, according to the fitness value calculated by the fitness function, measure the quality of the particles, and update the flight speed and value of the particles;

[0042] S303. Obtain a set \(P\) of the optimal values of \(k\) parameters in each iteration g =(P g1 , P g2 ,…, P gk ), increment the value of \(c\) by 1. If \(c\) reaches 10, obtain the finally relatively accurate \(P\) g , and execute step S304. Otherwise, change the parameter range of the \(k\)th parameter to Increase the number of particles and the number of evolution times to 5 times the original, and then return to step S302, where \(P\) gk is the optimal value of the \(k\)th parameter, and the initial value of \(c\) is 0;

[0043] S304. Obtain the optimal parameter values of each group of electrical connectors under the corresponding test environment temperature and the dimensions of the locking and separating mechanism for the center pull-rod type separating electrical connector. After obtaining the fitness function value under this condition, select a set of optimal parameter values that minimize the fitness function value as the final best parameter values considering different test environment temperatures and the dimensions of the locking and separating mechanism for the center pull-rod type electrical connector;

[0044] S305. Logarithmic standard deviation \(\sigma\) of the deformation rate of the ejector rod of each group of locking and separating mechanisms lnvc Parameter estimation is as follows:

[0045] The logarithmic standard deviation of the deformation rate of the ejector rod of the locking and separating mechanism under different temperature stress levels finally is calculated using the formula , where \(\ln v\) ci represents the logarithm of the deformation rate of the \(i\)th ejector rod of the locking and separating mechanism in the currently calculated group, and \(\ln v\) ci is also estimated through steps S301, S302, and S303 when representing the deformation rate of the ejector rod of the locking and separating mechanism. During the estimation of \(\ln v\) ci , replace the average unlocking force measured with the unlocking force measured for the \(i\)th ejector rod of the locking and separating mechanism in the currently calculated group. According to the estimated \(\ln v\) ci , the logarithmic mean value \(\mu\) of the deformation rate of the ejector rod of each group of locking and separating mechanisms under different temperature stress levels can be obtained. lnvc When solving \(\sigma\) lnvc , substitute \(\mu\) lnvc with the logarithmic mean value of the deformation rate of each ejector rod of the locking and separating mechanism in the currently calculated group, and substitute \(\ln v\) ci with the logarithm of the deformation rate of the \(i\)th ejector rod of the locking and separating mechanism in the currently calculated group;

[0046] S306. After obtaining under different temperature stress levels, use the least squares method to estimate the parameters \(W1\) and \(Z1\) in the acceleration equation .

[0047] In a possible implementation manner, the reliability function of the locking and separating mechanism of the central tie-rod type separating electrical connector at time t is as follows:

[0048]

[0049] where N failure is the number of failures of the locking and separating mechanism of the stored central tie-rod type separating electrical connector in the Monte Carlo sampling at time t, and N total is the total number of the locking and separating mechanisms of the stored central tie-rod type separating electrical connector in the Monte Carlo sampling at time t. P() represents probability, where 3F f ·cosγ - 3F N ·sinγ + F 27 (t) is the unlocking force F js (t) of the locking and separating mechanism at time t, and F failure is the failure force of the locking and separating mechanism to unlock.

[0050] The beneficial effects brought by the technical solution provided by the embodiment of the present invention at least include:

[0051] (1) In the present invention, by designing multiple groups of accelerated storage tests, collecting the unlocking force degradation data of the locking and separating mechanism under different temperature conditions, and combining the particle swarm algorithm to globally optimize and estimate the key parameters of the reliability model, the problem that the traditional method can only perform local optimization is solved. This method quickly converges to the optimal parameter combination through the intelligent algorithm, significantly improving the efficiency of parameter estimation and the accuracy of the model, providing reliable input for the subsequent Monte Carlo simulation, and finally realizing the rapid and accurate evaluation of the storage reliability level.

[0052] (2) In the present invention, the established unlocking performance degradation model comprehensively considers multi-dimensional variables such as material properties, geometric parameters, and environmental stresses, and realizes the accurate estimation of non-linear and high-dimensional parameters through the collaborative optimization of the particle swarm algorithm and the least square method. This method breaks through the limitations of the traditional linear regression model and can more realistically reflect the complex degradation behavior of the locking mechanism in the storage environment, providing a theoretical basis for reliability prediction.

[0053] (3) In the present invention, based on the Monte Carlo sampling method, a large number of simulation samples are generated, and the reliability at each time point is dynamically calculated in combination with the parameter estimation results and the curve is drawn, intuitively reflecting the reliability attenuation trend of the locking mechanism during the storage period. This method not only reduces the cost and cycle of the actual long-term storage test, but also provides data support for the formulation of the maintenance strategy of the equipment system, ensuring the stability and safety of the central tie-rod type separating electrical connector in key tasks.

[0054] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

[0055] The following points need to be explained:

[0056] (1) The accompanying drawings of the embodiments of the present invention only relate to the structures involved in the embodiments of the present invention, and other structures can refer to the general design.

[0057] (2) For clarity, in the accompanying drawings used to describe the embodiments of the present invention, the thickness of layers or regions is enlarged or reduced, that is, these drawings are not drawn according to the actual scale. It can be understood that when an element such as a layer, film, region or substrate is referred to as being "on" or "under" another element, the element can be "directly" on or under the other element or there can be intermediate elements.

[0058] (3) Without conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other to obtain new embodiments.

[0059] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. The protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for evaluating the storage reliability of a central pull-rod type locking and separating mechanism, characterized in that Including: S1. Conduct multiple groups of accelerated storage tests on the locking and separating mechanism. Each group of tests is carried out under different ambient temperature conditions. Measure the unlocking force at different time points to obtain the degradation data of the unlocking force. S2. Based on the unlocking force degradation data, establish an unlocking performance degradation model including material characteristics, geometric parameters and environmental stress related variables. S3. Use the particle swarm algorithm and the least square method to estimate the parameters of the reliability evaluation model. S4. Based on the optimal parameter value combination and the actual storage environment parameters, generate performance parameters at multiple time points through the Monte Carlo sampling method, calculate the reliability at each time point and draw the reliability curve to evaluate the reliability level of the locking and separating mechanism in the storage environment.

2. The storage reliability evaluation method of a central tie-rod type locking and separating mechanism according to claim 1, characterized in that The specific content of S1 includes: In the accelerated storage test, the electrical connector samples are divided into n groups, each group contains m locking and separating mechanisms, and each group of tests is carried out at a fixed ambient temperature, with different temperature conditions for different groups. Regularly measure the unlocking force of each locking and separating mechanism in each group through the unlocking force test device until the preset test duration is reached.

3. The storage reliability evaluation method of a central tie rod type locking and separating mechanism according to claim 1, characterized in that The S2 further includes: In the unlocking performance degradation model, F js (t) is the unlocking force of the locking and separating mechanism measured at the test time t under the measured environmental temperature T0, F f is the frictional force between the steel ball and the ejector rod, F N is the normal pressure of the ejector rod on the steel ball, γ is the inclination angle of the ejector rod conical surface, θ is the contact angle between the lock sleeve and the steel ball, K1, K2, K3, K4 are correction coefficients, r 21 is the equivalent radius of the ejector rod, r 22 is the radius of the locking steel ball, f 22-21 is the friction coefficient between the steel ball and the ejector rod, χ is a parameter related to the material, v c is the deformation rate of the ejector rod, is the contact stress between the steel ball and the ejector rod, η is a parameter related to the material, E 21 and E 22 are the elastic moduli of the ejector rod and the locking steel ball respectively, ν 21 and ν 22 are the Poisson's ratios of the ejector rod and the locking steel ball respectively, F9(t) is the elastic force of the socket energy storage spring at time t, F8(t) is the elastic force of the plug energy storage spring at time t, F 24 (t) is the elastic force of the sheath spring at time t, F 27 (t) is the elastic force of the pull rod spring at time t, F9(0), F8(0), F 24 (0), F 27 (0) are the initial elastic forces of the socket energy storage spring, the plug energy storage spring, the sheath spring and the pull rod spring respectively, d9, d8, d 24 , d 27 are the wire diameters of the socket energy storage spring, the plug energy storage spring, the sheath spring and the pull rod spring respectively, D9, D8, D 24 , D 27 are the mean diameters of the socket energy storage spring, the plug energy storage spring, the sheath spring and the pull rod spring respectively, c9, c8, c 24 , c 27 are the spring indexes of the socket energy storage spring, the plug energy storage spring, the sheath spring and the pull rod spring respectively, which are expressed as the ratio of the mean diameter to the wire diameter of the spring, p s is the degree of dislocation pile-up of the spring, H 0-27 , H 2-27 are the free height and the working height of the pull rod spring respectively, S l is the displacement of the pull rod movement, k 27 (0) is the stiffness of the pull rod spring at the initial moment, Z1 is a random variable parameter related to the material, W1 is the ratio of the activation energy of the ejector rod deformation to the Boltzmann constant, μ lnvc is the logarithmic mean of v c and σ lnvc is the logarithmic standard deviation of v c where the parameter to be estimated is f 32-31 , χ, S l , η, Z1 and W1, and the specific formula is as follows:

4. The storage reliability evaluation method of a central tie rod type locking and separating mechanism according to claim 3, characterized in that, The S3 further includes: Parameter estimation of f 22-21 , χ, S l , η, Z1 and W1 is as follows: S301. Establish a fitness function: Among them, Q i p represents the fitted value at time t corresponding to the unlocking force of each electrical connector in each group at the i-th measurement, represents the average value of the unlocking forces of each electrical connector in each group at the i-th measurement, and N represents the number of times the unlocking forces of each electrical connector in each group are measured; S302. When estimating the unlocking reliability parameters, given the initial range of parameters, set the initial values of the number of particles and the number of evolutions in the particle swarm algorithm and the maximum number of iterations. Substitute the unlocking force measured at different times for each locking and separating mechanism in each group, the unlocking reliability evaluation model of each group of electrical connectors, and the fitness function of each group of locking and separating mechanisms into the particle swarm algorithm for update calculation. During the iteration, according to the fitness value calculated by the fitness function, measure the quality of the particles, and update the flight speed and value of the particles. S303. Obtain a set \(P\) of the optimal values of \(k\) parameters in each iteration g =(P g1 , P g2 , …, P gk ). Increment the value of \(c\) by 1. If \(c\) reaches 10, then obtain the ultimately relatively accurate \(P\ g , and execute step S304. Otherwise, change the parameter range of the \(k\)-th parameter to Increase the number of particles and the number of evolution times to 5 times the original, and then return to step S302. Here, \(P\ gk is the optimal value of the \(k\)-th parameter, and the initial value of \(c\) is 0; S304. Obtain the optimal parameter values of each group of electrical connectors under the corresponding test ambient temperature and the dimensions of the locking and separating mechanism for the center pull-rod type separating electrical connector. After the fitness function value under this condition, select a set of optimal parameter values that make the fitness function value the smallest as the final best parameter values considering different test ambient temperatures and the dimensions of the locking and separating mechanism for the center pull-rod type electrical connector. S305. Logarithmic standard deviation σ of the deformation rate of the ejector rod of each locking and separating mechanism lnvc Parameter estimation is as follows: Finally, the logarithmic standard deviation of the deformation rate of the locking and separation mechanism push rod under different temperature stress levels is calculated using the formula Calculated, where lnv ci lnv represents the logarithm of the deformation rate of the i-th locking and release mechanism push rod of the group currently being calculated, ci The deformation rate of the locking and release mechanism push rod is also estimated through steps S301, S302 and S303, lnv ci During the estimation process, the average unlocking force measured is replaced by the unlocking force measured by the i-th locking and separation mechanism of the group currently being calculated. ci The logarithmic mean μ of the deformation rate of the locking and separation mechanism push rod of each group under different temperature stress levels can be obtained lnvc , solve for σ lnvc When μ lnvc Substitute the logarithmic mean of the deformation rate of the locking and release mechanism push rods of the group currently being calculated into lnv ci Substitute the logarithm of the deformation rate of the locking and release mechanism push rod of the group currently being calculated; S306. After obtaining under different temperature stress levels, the parameters W1 and Z1 in the acceleration equation are estimated using the least squares method.

5. The storage reliability evaluation method of a central tie rod type locking and separating mechanism according to claim 4, characterized in that Including: The reliability function of the locking and separating mechanism for the center pull-rod type separating electrical connector at time t is as follows: Among them, N failure is the number of failures of the locking and separating mechanism for the pull-rod type separating electrical connector at the storage center during Monte Carlo sampling at time t, and N total is the total number of locking and separating mechanisms for the pull-rod type separating electrical connector at the storage center during Monte Carlo sampling at time t. P() represents probability, where 3F f ·cosγ - 3F N ·sinγ + F 27 (t) is the unlocking force F js (t) of the locking and separating mechanism at time t, and F failure is the unlocking failure force of the locking and separating mechanism.

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