Method and device for evaluating health condition of circuit breaker operating mechanism

Abstract

The invention discloses a circuit breaker operating mechanism health condition evaluation method. According to the method, the health prediction model for representing the relationship among the material mechanical characteristics, the load intensity and the remaining actionable times of the non-metal key parts is established based on the material mechanical characteristic change analysis, so that the accurate evaluation of the health condition of the circuit breaker operating mechanism is realized. The invention further discloses a circuit breaker operating mechanism health condition evaluation device. Compared with the prior art, the technical scheme of the invention has the advantages of high prediction accuracy, strong environmental adaptability and high operation simplicity and convenience.

Description

Technical Field

[0001] This invention relates to a method for assessing the health status of a circuit breaker operating mechanism. Background Technology

[0002] As a crucial protection and control device in power systems, the reliability of the circuit breaker's operating mechanism directly determines whether it can accurately open and close in the event of a fault. With the development of materials technology, in addition to traditional metal components, some non-metallic components (such as the opening half-shaft and electric operating turbine made of plastics or composite materials like polyoxymethylene and nylon) in the circuit breaker's operating mechanism also directly participate in the operation. Their health status has a decisive impact on the overall reliability of the operating mechanism.

[0003] As circuit breaker operating time increases, the mechanical properties (such as Young's modulus and tensile strength) of components in the circuit breaker operating mechanism, especially non-metallic components, gradually deteriorate due to material aging (e.g., thermo-oxidative aging, accumulated fatigue). This deterioration affects the load strength (the maximum stress a component experiences during impact when the circuit breaker operates) and impact resistance of the components during operating mechanism operation, potentially leading to component failure and operating mechanism malfunction. Non-metallic components age much faster than metallic components, and their failure often becomes the weakest link in the overall health of the circuit breaker operating mechanism, directly determining its service life. Therefore, it is necessary to conduct in-depth research on the health prediction of these critical components.

[0004] Currently, predictions of the health status of circuit breaker operating mechanisms mostly focus on analyzing fatigue damage of metallic components, while research on the aging characteristics and lifespan correlation of non-metallic material components is relatively lacking. Furthermore, existing methods also have the following shortcomings: 1. The degradation of the mechanical properties of non-metallic materials with aging time was not fully considered. The life was estimated only by the number of operations under a fixed load strength, resulting in a large prediction error. 2. There is a lack of targeted analysis of the mechanical properties of plastic materials under different environmental factors. Environmental factors are one of the key factors affecting the mechanical properties of non-metallic materials. Ignoring the influence of environmental factors will also reduce the accuracy of life prediction. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a method for assessing the health status of circuit breaker operating mechanisms. Based on the analysis of changes in material mechanical properties, a health prediction model is established to characterize the relationship between the material mechanical properties, load strength and remaining number of operations of non-metallic key components, thereby achieving an accurate assessment of the health status of circuit breaker operating mechanisms.

[0006] The present invention specifically adopts the following technical solutions to solve the above-mentioned technical problems: A method for assessing the health status of a circuit breaker operating mechanism, wherein the circuit breaker operating mechanism comprises at least one critical component made of a non-metallic material; the method includes the following steps: Pre-establish health prediction models for each key component: ;in, E 0 represents the initial Young's modulus of the material of this key component at a certain ambient temperature in its initial state before it is put into use. S 0 represents the initial load strength of the key component under the ambient temperature when the operating mechanism is activated. E , S UTS These are the real-time Young's modulus and real-time tensile strength of the material of this key component at a certain ambient temperature during use. N f This refers to the remaining number of operational cycles of the critical component under the specified ambient temperature during use. and Functions related to key components; After the circuit breaker is put into use, the ambient temperature and total working time are collected in real time. For each key component, based on the curves of its material mechanical properties changing with ambient temperature and time, as well as the collected ambient temperature data and total working time, the real-time Young's modulus and real-time tensile strength of its material at different ambient temperatures are obtained using the time integration method. Real-time Young's modulus of each key component at different ambient temperatures E Real-time tensile strength S UTS Substituting these values ​​into their respective health prediction models yields the remaining number of possible operations for each key component under different ambient temperatures. N f And based on this, assess the current health status of the circuit breaker operating mechanism.

[0007] In one embodiment, , ;index k and coefficient A , B These are fixed parameters related to key components.

[0008] In another embodiment, , ;index k and coefficient A , B , CThese are fixed parameters related to key components.

[0009] Preferably, the health prediction model for any key component is established in advance using the following method: Before its use, the initial Young's modulus and initial tensile strength data of the material were obtained; the initial load strength of the key component under two different ambient temperatures during the operation of the operating mechanism were obtained through mechanical simulation tests. S , S 0, and according to the formula Calculate the index of this key component k , E , E 0 represents the initial Young's modulus of the material of the key component at the two different ambient temperatures; the fatigue life test of the circuit breaker was used to obtain the fatigue life of the key component at different ambient temperatures. S The remaining number of actions at multiple different ambient temperatures corresponding to 0. N f The initial Young's modulus of the material of this key component at several different ambient temperatures. E Initial tensile strength S UTS By establishing a system of equations and solving for the remaining fixed parameters related to the key components in the health prediction model, the health prediction model of the key component is obtained.

[0010] Preferably, the current health status of the circuit breaker operating mechanism is assessed using the following method: The remaining number of actuations of each key component at a preset ambient temperature is compared with two preset thresholds N1 and N2. If the remaining number of actuations is less than the smaller of N1 and N2, the key component is determined to be in a failure state; if the remaining number of actuations is between N1 and N2, the key component is determined to be in a warning state; if the remaining number of actuations is greater than the larger of N1 and N2, the key component is determined to be in a healthy state. The health status of the circuit breaker operating mechanism is defined as the health status of the component with the worst health among all the key components it contains.

[0011] Based on the same inventive concept, the following technical solutions can also be obtained: A circuit breaker operating mechanism health status assessment device, wherein the circuit breaker operating mechanism includes at least one critical component made of a non-metallic material; the circuit breaker operating mechanism health status assessment device includes: The prediction model module contains pre-built health prediction models for each key component: ;in, E0 represents the initial Young's modulus of the material of this key component at a certain ambient temperature in its initial state before it is put into use. S 0 represents the initial load strength of the key component under the ambient temperature when the operating mechanism is activated. E , S UTS These are the real-time Young's modulus and real-time tensile strength of the material of this key component at a certain ambient temperature during use. N f This refers to the remaining number of operational cycles of the critical component under the specified ambient temperature during use. and Functions related to key components; The environmental monitoring module is used to collect ambient temperature and total operating time in real time after the circuit breaker is put into use. The real-time mechanical property acquisition module is used to obtain the real-time Young's modulus and real-time tensile strength of each key component at different ambient temperatures using the time integration method, based on the curve of the change of its material mechanical properties with ambient temperature and time, as well as the collected ambient temperature data and total working time. The health assessment module is used to measure the real-time Young's modulus of key components under different ambient temperatures. E Real-time tensile strength S UTS Substituting these values ​​into their respective health prediction models yields the remaining number of possible operations for each key component under different ambient temperatures. N f And based on this, assess the current health status of the circuit breaker operating mechanism.

[0012] In one embodiment, , ;index k and coefficient A , B These are fixed parameters related to key components.

[0013] In another embodiment, , ;index k and coefficient A , B , C These are fixed parameters related to key components.

[0014] Preferably, the health prediction model for any key component is established in advance using the following method: Before its use, the initial Young's modulus and initial tensile strength data of the material were obtained; the initial load strength of the key component under two different ambient temperatures during the operation of the operating mechanism were obtained through mechanical simulation tests. S , S 0, and according to the formula Calculate the index of this key component k , E , E 0 represents the initial Young's modulus of the material of the key component at the two different ambient temperatures; the fatigue life test of the circuit breaker was used to obtain the fatigue life of the key component at different ambient temperatures. S The remaining number of actions at multiple different ambient temperatures corresponding to 0. N f The initial Young's modulus of the material of this key component at several different ambient temperatures. E Initial tensile strength S UTS By establishing a system of equations and solving for the remaining fixed parameters related to the key components in the health prediction model, the health prediction model of the key component is obtained.

[0015] Preferably, the health assessment module uses the following method to assess the current health status of the circuit breaker operating mechanism: The remaining number of actuations of each key component at a preset ambient temperature is compared with two preset thresholds N1 and N2. If the remaining number of actuations is less than the smaller of N1 and N2, the key component is determined to be in a failure state; if the remaining number of actuations is between N1 and N2, the key component is determined to be in a warning state; if the remaining number of actuations is greater than the larger of N1 and N2, the key component is determined to be in a healthy state. The health status of the circuit breaker operating mechanism is defined as the health status of the component with the worst health among all the key components it contains.

[0016] Compared with the prior art, the technical solution of the present invention has the following beneficial effects: 1. High prediction accuracy: It fully considers the degradation law of material mechanical properties (such as Young's modulus, tensile strength, etc.) with aging time and temperature, and realizes accurate prediction of the remaining number of actuations of the target part through fatigue life model. 2. Strong environmental adaptability: Based on the material property curves at different temperatures, it can be applied to various circuit breaker operating environments; 3. High ease of operation: The required test parameters can be obtained through conventional mechanical equipment, and the material property curves can be calibrated in advance, which is convenient for practical engineering applications. Attached Figure Description

[0017] Figure 1 This is a stress-strain characteristic curve of a certain type of POM material; Figure 2 This is a graph showing the tensile strength degradation of a certain type of POM material at a certain temperature. Figure 3 This is a Young's modulus degradation curve of a certain type of POM material at a certain temperature. Detailed Implementation

[0018] To address the shortcomings of existing technologies in accurately predicting the health status of key non-metallic components in circuit breaker operating mechanisms, this invention establishes a health prediction model based on material mechanical property change analysis, characterizing the relationship between the material mechanical properties, load strength, and remaining number of operations of key non-metallic components, thereby achieving accurate assessment of the health status of circuit breaker operating mechanisms.

[0019] The method for assessing the health status of circuit breaker operating mechanisms proposed in this invention is as follows: A method for assessing the health status of a circuit breaker operating mechanism, wherein the circuit breaker operating mechanism includes at least one critical component made of a non-metallic material; the critical component participates in opening and closing operations, bears a certain operating load during circuit breaker opening and closing operations, and its health status directly affects the reliability of the operating mechanism's operation; the method includes the following steps: Pre-establish health prediction models for each key component: ;in, E 0 represents the initial Young's modulus of the material of this key component at a certain ambient temperature in its initial state before it is put into use. S 0 represents the initial load strength of the key component under the ambient temperature when the operating mechanism is activated. E , S UTS These are the real-time Young's modulus and real-time tensile strength of the material of this key component at a certain ambient temperature during use. N f This refers to the remaining number of operational cycles of the critical component under the specified ambient temperature during use. and Functions related to key components; After the circuit breaker is put into use, the ambient temperature and total working time are collected in real time. For each key component, based on the curves of its material mechanical properties changing with ambient temperature and time, as well as the collected ambient temperature data and total working time, the real-time Young's modulus and real-time tensile strength of its material at different ambient temperatures are obtained using the time integration method. Real-time Young's modulus of each key component at different ambient temperatures EReal-time tensile strength S UTS Substituting these values ​​into their respective health prediction models yields the remaining number of possible operations for each key component under different ambient temperatures. N f And based on this, assess the current health status of the circuit breaker operating mechanism.

[0020] In one embodiment, , That is, the health prediction model in this embodiment is: ;index k and coefficient A , B These are fixed parameters related to key components.

[0021] In another embodiment, , That is, the health prediction model in this embodiment is: ;index k and coefficient A , B , C These are fixed parameters related to key components.

[0022] The technical solution of the present invention will now be described in detail with reference to the accompanying drawings: When a circuit breaker performs opening and closing operations, the components in the circuit breaker's operating mechanism that bear the operating load undergo an action process approximating an elastic collision. When objects undergo elastic collisions, the system's momentum and kinetic energy are conserved. Using the impulse theorem, the impulse of the collision force between objects is equal to the change in the object's momentum, therefore: F*Δt=m*(V0-V1), where F is the average collision force, Δt is the collision duration, and m is the mass of the colliding object with an initial velocity of V0 and a post-collision velocity of V1. When the post-collision velocity eventually drops to 0, we have: F=m*V0 / Δt. From this relationship, we can deduce that when the elastic modulus of the colliding object decreases (or increases), the strain generated by the impact increases (or decreases), the collision duration increases (or decreases), and the average collision force decreases (or increases), i.e.: F=m*V0*E k In the formula, k is a coefficient related to the mechanical properties of the target part material and the collision mode during the target part's action; for a specific target part of a specific material... k The value is a fixed constant and can be calibrated in advance through target component testing. Therefore, during the opening and closing operation of the circuit breaker, the load intensity S on the components of the operating mechanism that bear the operating load during the operation of the operating mechanism is: S = a * E kHere, parameter 'a' is a parameter related to the mass, velocity, and impact contact area of ​​each component subjected to collision impact during the circuit breaker's opening and closing operation. For the same target component, the value of parameter 'a' is fixed during the same operation. Therefore, based on the real-time Young's modulus of the target component... E Combined with initial parameters E 0、 S 0, can calculate the real-time load intensity of the target component when the operating mechanism is activated. S The calculation formula is as follows:

[0023] Based on the fatigue failure mechanism of components and combined with the actual application of circuit breaker components, the actual load strength of the target component was designed. S Current tensile strength of the target component material S UTS and the remaining number of actions that the target component can perform. N f Two models of the relationship between them:

[0024] or,

[0025] Combination The health prediction model for any key component can be obtained as follows:

[0026] or,

[0027] in, E 0 represents the initial Young's modulus of the material of this key component at a certain ambient temperature in its initial state before it is put into use. S 0 represents the initial load strength of the key component under the ambient temperature when the operating mechanism is activated. E , S UTS These are the real-time Young's modulus and real-time tensile strength of the material of this key component at a certain ambient temperature during use. N f This refers to the remaining number of times the key component can operate under the specified ambient temperature during use.

[0028] In the above health prediction model, the remaining number of actions N f Used to characterize the health status of this key component, it is an unknown quantity; real-time Young's modulus. E Real-time tensile strength S UTSThe parameters need to be obtained in real time based on the usage environment and usage time of the key component; the other parameters need to be determined in advance in the initial state of the key component before it is put into use; these are explained below.

[0029] In the initial state before the use of this key component (before the circuit breaker leaves the factory), obtain the initial Young's modulus data and initial tensile strength data of its material. These data can be provided by the material supplier or measured by ourselves. Figure 1 This displays the stress-strain characteristic curves of a certain type of POM material at different temperatures. Based on these curves, the initial Young's modulus and initial tensile strength of the material at different temperatures can be obtained. The initial load strength of this key component during the operation of the mechanism was obtained through mechanical simulation tests at two different ambient temperatures (e.g., standard room temperature of 23℃ and 60℃). S , S 0, and according to the formula Calculate the index of this key component k , E , E 0 represents the initial Young's modulus of the material of the key component at the two different ambient temperatures; By conducting fatigue life tests on circuit breakers, the performance of this key component in different conditions was obtained. S The remaining number of actions at multiple different ambient temperatures corresponding to 0. N f The initial Young's modulus of the material of this key component at several different ambient temperatures. E Initial tensile strength S UTS Based on the selected health prediction model, a system of equations is established and the other fixed parameters are solved. Substituting the solved fixed parameters into the equations yields the health prediction model for the critical component. This model is then pre-installed into the circuit breaker intelligent controller to determine the remaining number of operations for the critical component. N f Make real-time predictions.

[0030] After the circuit breaker is put into use, the ambient temperature and total working time of the circuit breaker are monitored and recorded in real time using the built-in temperature sensor and timer of the circuit breaker. When a health status assessment is required, based on the initial Young's modulus data of the key component material under its initial state, the Young's modulus degradation curves over time at different temperatures, the collected ambient temperature data, and the total operating time, the real-time Young's modulus of the material at the current ambient temperature is obtained using the time integration method. Then, combined with the stress-strain characteristic curves of the material at different temperatures, the real-time Young's modulus of the material at different ambient temperatures is obtained. Similarly, based on the initial tensile strength data of the material under its initial state, the tensile strength degradation curves over time at different temperatures, the collected ambient temperature data, and the total operating time, the real-time tensile strength of the material at the current ambient temperature is obtained using the time integration method. Then, combined with the stress-strain characteristic curves of the material at different temperatures, the real-time tensile strength of the material at different ambient temperatures is obtained. The Young's modulus degradation curves and tensile strength degradation curves over time at different temperatures can be provided by the material supplier or obtained through in-house measurement. Figure 2 , Figure 3 The tensile strength degradation curve and Young's modulus degradation curve of a certain type of POM material at a certain temperature are shown respectively; the time integration method is a widely used existing numerical analysis technique, which will not be elaborated here. Real-time Young's modulus of each key component at different ambient temperatures E Real-time tensile strength S UTS Substituting these values ​​into their respective health prediction models yields the remaining number of possible operations for each key component under different ambient temperatures. N f The current health status of the circuit breaker operating mechanism is assessed accordingly. Specific assessment methods can be designed based on actual conditions. For example, a threshold can be used to categorize the remaining number of operations into healthy and unhealthy states. Alternatively, the following method can be used to assess the current health status of the circuit breaker operating mechanism: the remaining number of operations for each key component at a preset ambient temperature is compared with two preset thresholds N1 and N2. If the remaining number of operations is less than the smaller of N1 and N2, the key component is determined to be in a failed state; if the remaining number of operations is between N1 and N2, the key component is determined to be in a warning state; if the remaining number of operations is greater than the larger of N1 and N2, the key component is determined to be in a healthy state. Finally, the health status of the component with the worst health status among all the key components included in the circuit breaker operating mechanism is taken as the health status of the circuit breaker operating mechanism.

[0031] To verify the effectiveness of the technical solution of this invention, two sets of verification experiments were conducted: The first set of verification experiments used the polyoxymethylene (POM) half-shaft of the operating mechanism of a certain type of circuit breaker as the target component. The specific verification experiment process is as follows: A health prediction model for the target component should be established in advance: Initial Young's modulus of polyoxymethylene material at 23°C E 0 = 2.8 GPa (obtained from the material manufacturer's report); the initial equivalent load strength of the target component at 23°C was measured by simulating the operation of the mechanism using a mechanical testing platform. S 0 = 25 MPa; The operating mechanism's motion was tested at 80℃, based on the Young's modulus of the target part at 80℃. E and action load strength S According to the formula The exponent was calculated. k =0.8; By conducting multiple sets of circuit breaker fatigue life tests at different temperatures, the fatigue life of the target component under different conditions was obtained. S The remaining number of actions at least three different ambient temperatures corresponding to 0. N f Combined with the initial Young's modulus of polyoxymethylene material at at least three different ambient temperatures E Initial tensile strength S UTS The model coefficients obtained by solving the system of equations are A=1.1, B=-0.13, and C=0.006. Substituting these parameters into... That is, to obtain the health prediction model for the target component: .

[0032] Current mechanical properties obtained: Based on ambient temperature data, total operating time, and material mechanical property degradation data, the real-time Young's modulus of the target component material at different ambient temperatures can be obtained using the time integration method. E Real-time tensile strength S UTS By substituting this into the established health prediction model for the target component, we can obtain the expected remaining number of actions of the target component at different ambient temperatures at the current moment. N f The circuit breaker containing the target component in this experiment has been in operation for t=8 years. Since the ambient temperature during operation has remained relatively constant at around 60℃, for simplicity, the real-time Young's modulus E=2.6GPa and real-time tensile strength S of the target component material at 60℃ were obtained directly by referring to the Young's modulus and tensile strength degradation curves of polyoxymethylene (POM) material at 60℃. UTS =33.5 MPa.

[0033] Health status assessment: The real-time Young's modulus of the target material at 60℃ is E=2.6GPa, and the real-time tensile strength is S. UTSSubstituting 33.5 MPa into the health prediction model of the target component, the remaining number of operations N of the target component at the current ambient temperature of 60℃ is calculated. f =4720. With preset N1=200 and N2=1000, the calculated value is N. f =4720 times (≥1000 times), therefore the target component is currently in a healthy state; since the circuit breaker operating mechanism in this experiment only contains this one non-metallic material key component, we only need to consider the impact of the health status of this one key component. Therefore, the circuit breaker operating mechanism is determined to be in a healthy state, the circuit breaker operating mechanism can operate safely, and the risk of failure is low. It is recommended to carry out maintenance and inspection according to the regular cycle (such as every 6 months).

[0034] The second set of verification experiments used a PA66 material electrically operated turbine of a certain type of circuit breaker operating mechanism as the target component. The specific verification experiment process is as follows: A health prediction model for the target component should be established in advance: The initial Young's modulus of PA66 material at 23°C was obtained from the material manufacturer's report. E 0 = 3.1 GPa; The initial equivalent load strength of the target component at 23°C was measured by simulating the operation of the mechanism using a mechanical testing platform. S 0 = 38 MPa; The operating mechanism was tested at 80℃, based on the Young's modulus of the target part at 80℃. E and action load strength S According to the formula The exponent was calculated. k =0.93; By conducting multiple sets of circuit breaker fatigue life tests at different temperatures, the fatigue life of the target component under different conditions was obtained. S The remaining number of actions at least under two different ambient temperatures corresponding to 0. N f The initial Young's modulus of PA66 material at at least two different ambient temperatures. E Initial tensile strength S UTS ,according to Establish a system of equations and solve for the corresponding coefficients A = 1.02 and B = -0.103. Substitute these coefficients into the equations. This yields the health prediction model for the target component: .

[0035] Current mechanical properties obtained: Based on ambient temperature data, total operating time, and material mechanical property degradation data, the real-time Young's modulus of the target component material at different ambient temperatures can be obtained using the time integration method. E Real-time tensile strength SUTS By substituting this into the established health prediction model for the target component, we can obtain the expected remaining number of actions of the target component at different ambient temperatures at the current moment. N f The circuit breaker has been in operation for t=7 years. Using time integration calculations, the real-time Young's modulus E=2.75GPa and the real-time tensile strength S at the current ambient temperature of 60℃ were obtained. UTS =56 MPa.

[0036] Health status assessment: The real-time Young's modulus of PA66 material at 60℃ is E=2.75GPa, and the real-time tensile strength S is... UTS Substituting 56 MPa into the health prediction model of the target component, the remaining number of operations of the target component at the current ambient temperature of 60℃ is calculated. N f =9374. With preset N1=200 and N2=1000, the calculated value is... N f =9374 times (≥1000 times), therefore the target component is currently in a healthy state; since the circuit breaker operating mechanism in this experiment only contains this one non-metallic material key component, we only need to consider the impact of the health status of this one key component. Therefore, the circuit breaker operating mechanism is determined to be in a healthy state, the circuit breaker operating mechanism can operate safely, and the risk of failure is low. It is recommended to carry out maintenance and inspection according to the regular cycle (such as every 6 months).

Claims

1. A method for assessing the health status of a circuit breaker operating mechanism, wherein the circuit breaker operating mechanism comprises at least one key component made of a non-metallic material; characterized in that, The method includes the following steps: Pre-establish health prediction models for each key component: ;in, E 0 represents the initial Young's modulus of the material of this key component at a certain ambient temperature in its initial state before it is put into use. S 0 represents the initial load strength of the key component under the ambient temperature when the operating mechanism is activated. E , S UTS These are the real-time Young's modulus and real-time tensile strength of the material of this key component at a certain ambient temperature during use. N f This refers to the remaining number of operational cycles of the critical component under the specified ambient temperature during use. and Functions related to key components; After the circuit breaker is put into use, the ambient temperature and total working time are collected in real time. For each key component, based on the curves of its material mechanical properties changing with ambient temperature and time, as well as the collected ambient temperature data and total working time, the real-time Young's modulus and real-time tensile strength of its material at different ambient temperatures are obtained using the time integration method. Real-time Young's modulus of each key component at different ambient temperatures E Real-time tensile strength S UTS Substituting these values ​​into their respective health prediction models yields the remaining number of possible operations for each key component under different ambient temperatures. N f And based on this, assess the current health status of the circuit breaker operating mechanism.

2. The method for assessing the health status of a circuit breaker operating mechanism as described in claim 1, characterized in that, , ;index k and coefficient A , B These are fixed parameters related to key components.

3. The method for assessing the health status of a circuit breaker operating mechanism as described in claim 1, characterized in that, , ;index k and coefficient A , B , C These are fixed parameters related to key components.

4. The method for assessing the health status of a circuit breaker operating mechanism as described in claim 2 or 3, characterized in that, The health prediction model for any critical component is established in advance using the following methods: Before its use, the initial Young's modulus and initial tensile strength data of the material were obtained; the initial load strength of the key component under two different ambient temperatures during the operation of the operating mechanism were obtained through mechanical simulation tests. S , S 0, and according to the formula Calculate the index of this key component k , E , E 0 represents the initial Young's modulus of the material of the key component at the two different ambient temperatures; the fatigue life test of the circuit breaker was used to obtain the fatigue life of the key component at different ambient temperatures. S The remaining number of actions at multiple different ambient temperatures corresponding to 0. N f The initial Young's modulus of the material of this key component at several different ambient temperatures. E Initial tensile strength S UTS By establishing a system of equations and solving for the remaining fixed parameters related to the key components in the health prediction model, the health prediction model of the key component is obtained.

5. The method for assessing the health status of a circuit breaker operating mechanism as described in claim 1, characterized in that, The following methods are used to assess the current health status of the circuit breaker operating mechanism: The remaining number of actuations of each key component at a preset ambient temperature is compared with two preset thresholds N1 and N2. If the remaining number of actuations is less than the smaller of N1 and N2, the key component is determined to be in a failure state; if the remaining number of actuations is between N1 and N2, the key component is determined to be in a warning state; if the remaining number of actuations is greater than the larger of N1 and N2, the key component is determined to be in a healthy state. The health status of the circuit breaker operating mechanism is defined as the health status of the component with the worst health among all the key components it contains.

6. A circuit breaker operating mechanism health status assessment device, wherein the circuit breaker operating mechanism includes at least one key component made of a non-metallic material; characterized in that, The circuit breaker operating mechanism health assessment device includes: The prediction model module contains pre-built health prediction models for each key component: ;in, E 0 represents the initial Young's modulus of the material of this key component at a certain ambient temperature in its initial state before it is put into use. S 0 represents the initial load strength of the key component under the ambient temperature when the operating mechanism is activated. E , S UTS These are the real-time Young's modulus and real-time tensile strength of the material of this key component at a certain ambient temperature during use. N f This refers to the remaining number of operational cycles of the critical component under the specified ambient temperature during use. and Functions related to key components; The environmental monitoring module is used to collect ambient temperature and total operating time in real time after the circuit breaker is put into use. The real-time mechanical property acquisition module is used to obtain the real-time Young's modulus and real-time tensile strength of each key component at different ambient temperatures using the time integration method, based on the curve of the change of its material mechanical properties with ambient temperature and time, as well as the collected ambient temperature data and total working time. The health assessment module is used to measure the real-time Young's modulus of key components under different ambient temperatures. E Real-time tensile strength S UTS Substituting these values ​​into their respective health prediction models yields the remaining number of possible operations for each key component under different ambient temperatures. N f And based on this, assess the current health status of the circuit breaker operating mechanism.

7. The circuit breaker operating mechanism health status assessment device as described in claim 6, characterized in that, , ;index k and coefficient A , B These are fixed parameters related to key components.

8. The circuit breaker operating mechanism health status assessment device as described in claim 6, characterized in that, , ;index k and coefficient A , B , C These are fixed parameters related to key components.

9. The circuit breaker operating mechanism health status assessment device as described in claim 7 or 8, characterized in that, The health prediction model for any critical component is established in advance using the following methods: Before its use, the initial Young's modulus and initial tensile strength data of the material were obtained; the initial load strength of the key component under two different ambient temperatures during the operation of the operating mechanism were obtained through mechanical simulation tests. S , S 0, and according to the formula Calculate the index of this key component k , E , E 0 represents the initial Young's modulus of the material of the key component at the two different ambient temperatures; the fatigue life test of the circuit breaker was used to obtain the fatigue life of the key component at different ambient temperatures. S The remaining number of actions at multiple different ambient temperatures corresponding to 0. N f The initial Young's modulus of the material of this key component at several different ambient temperatures. E Initial tensile strength S UTS By establishing a system of equations and solving for the remaining fixed parameters related to the key components in the health prediction model, the health prediction model of the key component is obtained.

10. The circuit breaker operating mechanism health status assessment device as described in claim 6, characterized in that, The health assessment module uses the following methods to assess the current health status of the circuit breaker operating mechanism: The remaining number of actuations of each key component at a preset ambient temperature is compared with two preset thresholds N1 and N2. If the remaining number of actuations is less than the smaller of N1 and N2, the key component is determined to be in a failure state; if the remaining number of actuations is between N1 and N2, the key component is determined to be in a warning state; if the remaining number of actuations is greater than the larger of N1 and N2, the key component is determined to be in a healthy state. The health status of the circuit breaker operating mechanism is defined as the health status of the component with the worst health among all the key components it contains.

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