Method and system for evaluating electric shock life of arc extinguish chamber of low-voltage circuit breaker

Abstract

The invention relates to the technical field of electrical performance testing, and particularly discloses a method and system for evaluating the electric shock life of an arc extinguish chamber of a low-voltage circuit breaker, and the method comprises the steps: S1, collecting real-time arc extinguish performance index parameters in the arc extinguish chamber of different low-voltage strength grades in a preset time period and the cumulative number of closing operations of the circuit breaker of different low-voltage strength grades; s2, simulating an arcing process change image of each closing operation of the circuit breaker based on real-time arc extinguishing performance index parameters in the arc extinguishing chamber with different low-voltage strength grades, establishing an arc extinguishing three-dimensional model, and performing feature extraction analysis on the arcing process change image to obtain a standard arc state coefficient; s3, inputting the real-time arc extinguishing performance index parameter and the standard arc state coefficient into a preset analysis model for prediction analysis, and obtaining an arc extinguishing prediction value; and S4, inputting the predicted arc extinguishing value, the cumulative number of closing operations and a historical evaluation factor into the predicted analysis model for training to construct an arc extinguish chamber electric shock life evaluation model.

Description

Technical Field

[0001] The invention relates to the technical field of electrical performance testing, and in particular to a method and system for evaluating the electric shock life of an arc extinguishing chamber of a low-voltage circuit breaker. Background Art

[0002] Low-voltage circuit breakers are widely used protective devices in power systems. Their main function is to automatically cut off the circuit when a circuit overload, short circuit or other fault occurs, protecting the safety of equipment and personnel. Among them, the arc extinguishing chamber is an important part of the low-voltage circuit breaker. Its function is to quickly extinguish the arc when the circuit breaker disconnects the circuit, preventing safety accidents caused by the continuous burning of the arc.

[0003] In the prior art, the methods for evaluating the life of arc extinguishing chambers mainly include laboratory testing and field monitoring. Laboratory testing usually uses a simulated circuit fault method to evaluate the life of arc extinguishing chambers by performing multiple opening and closing operations on the arc extinguishing chambers and recording their performance changes; field monitoring uses sensors installed on circuit breakers to monitor the working status of the arc extinguishing chambers in real time and collect data for analysis and evaluation.

[0004] In the actual process of evaluating the electric shock of the arc extinguishing chamber of the low-voltage circuit breaker, there is a lack of accurate prediction values ​​and a complete arc extinguishing evaluation system for the impact of the electric shock life during the arc starting and arc extinguishing process when the circuit breaker is opened and closed under low voltage. This can easily lead to deviations in the evaluation of the electric shock life of the arc extinguishing chamber, which in turn leads to the problem of low actual use efficiency of the low-voltage circuit breaker. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for evaluating the electric shock life of an arc extinguishing chamber of a low-voltage circuit breaker, so as to solve the following technical problems: How to obtain arc extinguishing prediction values ​​close to the real ones through designing test and analysis process to achieve accurate results of arc extinguishing chamber electric shock life evaluation.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A method for evaluating the electric shock life of an arc extinguishing chamber of a low-voltage circuit breaker, the method comprising: S1. Preset the low-voltage intensity level of the arc extinguishing chamber, and collect the real-time arc extinguishing performance index parameters of the arc extinguishing chambers with different low-voltage intensity levels and the cumulative number of closing operations of the circuit breakers with different low-voltage intensity levels in the preset time period through digital sensors; the arc extinguishing performance index parameters include arc extinguishing time, arc extinguishing current, and insulation resistivity; S2. Based on the real-time arc extinguishing performance index parameters in the arc extinguishing chamber with different low-voltage intensity levels, simulate the arcing process change image of each closing operation of the circuit breaker, establish an arc extinguishing three-dimensional model, and perform feature extraction and analysis on the arcing process change image to obtain the standard arc state coefficient; S3. Under the same low-voltage intensity level background, the real-time arc extinguishing performance index parameters and the standard arc state coefficient are input into the preset analysis model for prediction analysis, the arc extinguishing prediction value is obtained, and it is determined whether the arc extinguishing prediction value is lower than the preset standard threshold value: If not, return to step S1 and continue the closing operation; If yes, go to the next step; S4, based on the arc extinguishing prediction value obtained in step S3 and the cumulative number of closing operations of circuit breakers of the same low-voltage strength level and the historical evaluation factor, the predicted analysis model is input for training to construct an arc extinguishing chamber electric shock life evaluation model; S5. Verify and optimize the arc extinguishing chamber electric shock life evaluation model and output the evaluation results.

[0007] Preferably, in S2, based on the real-time arc extinguishing performance index parameters in the arc extinguishing chamber with different low-voltage intensity levels, the arcing process change image of each closing operation of the circuit breaker is simulated, and the process of establishing the arc extinguishing three-dimensional model is as follows: S21. Construct simulation samples based on real-time arc extinguishing performance index parameters corresponding to different low-voltage intensity levels; S22, inputting the simulation sample into the initial magnetohydrodynamic model to obtain simulated arc state parameters; S23, recording the simulated arc state parameters at each time step to construct a two-dimensional image sequence during the arcing process; S24. An interpolation algorithm is used to expand the two-dimensional image sequence into three-dimensional space, and a three-dimensional arc extinguishing model is constructed through three-dimensional modeling software.

[0008] Preferably, in S2, the method for performing feature extraction and analysis on the arcing process change image to obtain the standard arc state coefficient is: Conduct deep learning on historical bow-net arcing dataset based on convolutional neural network model; The arcing process change image is input into the convolutional neural network model after deep learning for grid segmentation to obtain the target feature parameters for arc morphology positioning; By formula = Calculate the standard arc state coefficient ; in, It is the time period for arcing when the circuit breaker is closed. It is the time period for the circuit breaker to open and extinguish the arc. is the first preset weight coefficient, is the second preset weight coefficient, and > >0.

[0009] Preferably, S3 includes: Under the same low-voltage intensity level background, the real-time arc extinguishing performance index parameters and the standard arc state coefficient are input into the preset analysis model for prediction analysis, the arc extinguishing prediction value is obtained, and it is determined whether the arc extinguishing prediction value is lower than the preset standard threshold: If not, return to step S1 and continue the closing operation; If yes, go to the next step; By formula: Calculate the arc extinction prediction value ; in, is the total number of closing times, < ≤ , The critical number of closing times for the shock life of the arc extinguishing chamber of the preset circuit breaker; Preset weight coefficient for arc extinguishing time, Preset weight coefficient for arc extinguishing current, Preset weighting factors for insulation resistivity; For the Arc extinguishing time for the first closing, For the Arc extinguishing current for each closing circuit breaker, For the Secondary closing insulation resistivity; For the Standard arc extinguishing time for each closing, For the Standard arc extinguishing current for each closing, For the Standard insulation resistivity of the first closing switch; is the first arc state function, is the second arc state function, is the third arc state function.

[0010] Preferably, the first arc state function , the second arc state function , the third arc state function The calculation method is: First arc state function: ; Second arc state function: ; The third arc state function: ; in, For the Secondary closing arc state coefficient; is the first conversion function, is the second conversion function; is the third conversion function; is the standard arc state coefficient.

[0011] Preferably, it also includes: The arc extinction prediction value The threshold interval of the preset arc extinction prediction standard To compare: like ∈ , it is judged that the arc extinguishing degree under the current low-voltage intensity level is average; like < , it is judged that the arc extinguishing completion degree is high under the current low-voltage intensity level; like > , it is judged that the arc extinguishing completion degree under the current low-voltage intensity level is low.

[0012] Preferably, the low pressure intensity level includes a first-level low pressure parameter, a second-level low pressure parameter, and a third-level low pressure parameter, and the low pressure intensity level is: the first-level low pressure parameter> the second-level low pressure parameter> the third-level low pressure parameter; Analyze the change state of the arc state coefficient of the current low-voltage intensity level of the arc extinguishing chamber, and adjust the current low-voltage intensity level according to the change state results.

[0013] Preferably, it includes: Obtain the curve of arc state coefficient of the current low-voltage intensity level of the arc extinguishing chamber as a function of the cumulative number of closing times ; Obtain the standard change curve for the same cumulative closing times according to the standard arc state coefficient ; The change curve Variation curve with standard Construct them in the same coordinate system and overlap their areas With preset standard area For comparison: like < , it is judged that the current low pressure intensity level is too low, and the current low pressure intensity level is increased.

[0014] Preferably, the system comprises: A data acquisition module is used to collect real-time arc extinguishing performance index parameters in arc extinguishing chambers of different low-voltage intensity levels and the cumulative number of closing operations of circuit breakers of different low-voltage intensity levels within a preset time period through digital sensors; arc extinguishing performance index parameters include arc extinguishing time, arc extinguishing current, and insulation resistivity; The arc extinguishing three-dimensional model building module is used to simulate the arcing process change image of each closing operation of the circuit breaker based on the real-time arc extinguishing performance index parameters in the arc extinguishing chamber with different low-voltage intensity levels, establish the arc extinguishing three-dimensional model, and perform feature extraction and analysis on the arcing process change image to obtain the standard arc state coefficient; The prediction module, under the same low-voltage intensity level background, inputs the real-time arc extinguishing performance index parameters and the standard arc state coefficient into the preset analysis model for prediction analysis, obtains the arc extinguishing prediction value, and determines whether the arc extinguishing prediction value is lower than the preset standard threshold: If not, return to step S1 and continue the closing operation; If yes, go to the next step; The evaluation module is trained based on the arc extinguishing prediction value obtained in step S3 and the cumulative number of circuit breaker closing operations corresponding to the same low-voltage intensity level and the historical evaluation factor input into the predicted analysis model to construct an arc extinguishing chamber electric shock life evaluation model; verify and optimize the arc extinguishing chamber electric shock life evaluation model, and output the evaluation results.

[0015] Beneficial effects of the present invention: (1) The present invention simulates the real-time arc extinguishing performance index parameters in the arc extinguishing chamber obtained under different low-voltage intensity levels, simulates the arcing process change image of each closing operation of the circuit breaker, establishes a three-dimensional arc extinguishing model, and obtains the morphological image information of the arcing. It also performs feature extraction and analysis through the arcing process change image to obtain standard arc change state information, and uses the standard arc state coefficient as data for extraction, thereby providing a reference basis for the next step of predicting the arc extinguishing state.

[0016] (2) The present invention performs predictive analysis on arc extinguishing by acquiring data of the same low-voltage intensity level, mainly by inputting real-time arc extinguishing performance index parameters and standard arc state coefficients as training sets into a preset analysis model for predictive analysis. The preset analysis model here is obtained through the process of identification processing based on a recurrent neural network model, and the analysis model also obtains the arc extinguishing prediction value through calculation, compares the arc extinguishing prediction value with the preset standard threshold, and performs further operations based on the judgment result. If it is less than the preset standard threshold, it returns to the previous step to continue closing the circuit, otherwise it continues to the next step.

[0017] (3) The present invention also uses the obtained arc extinguishing prediction value and the cumulative number of closing operations of circuit breakers of the same low-voltage strength level and historical evaluation factors as a verification set to input the predicted analysis model for training and constructing an arc extinguishing chamber electric shock life evaluation model, thereby verifying and optimizing the output evaluation results of the arc extinguishing chamber electric shock life evaluation model.

[0018] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0020] Figure 1 A step diagram of a method for evaluating the electric shock life of an arc extinguishing chamber of a low-voltage circuit breaker according to the present invention; Figure 2 This is a module diagram of an arc extinguishing chamber electric shock life evaluation system for a low-voltage circuit breaker of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] See also Figure 1 As shown, the present invention is a method for evaluating the electric shock life of an arc extinguishing chamber of a low-voltage circuit breaker, the method comprising: S1. Preset the low-voltage intensity level of the arc extinguishing chamber, and collect the real-time arc extinguishing performance index parameters of the arc extinguishing chambers with different low-voltage intensity levels and the cumulative number of closing operations of the circuit breakers with different low-voltage intensity levels in the preset time period through digital sensors; the arc extinguishing performance index parameters include arc extinguishing time, arc extinguishing current, and insulation resistivity; S2. Based on the real-time arc extinguishing performance index parameters in the arc extinguishing chamber with different low-voltage intensity levels, simulate the arcing process change image of each closing operation of the circuit breaker, establish an arc extinguishing three-dimensional model, and perform feature extraction and analysis on the arcing process change image to obtain the standard arc state coefficient; S3. Under the same low-voltage intensity level background, the real-time arc extinguishing performance index parameters and the standard arc state coefficient are input into the preset analysis model for prediction analysis, the arc extinguishing prediction value is obtained, and it is determined whether the arc extinguishing prediction value is lower than the preset standard threshold value: If not, return to step S1 and continue the closing operation; If yes, go to the next step; S4, based on the arc extinguishing prediction value obtained in step S3 and the cumulative number of closing operations of circuit breakers of the same low-voltage strength level and the historical evaluation factor, the predicted analysis model is input for training to construct an arc extinguishing chamber electric shock life evaluation model; S5. Verify and optimize the arc extinguishing chamber electric shock life evaluation model and output the evaluation results.

[0023] In the above technical scheme, in this embodiment, the arc extinguishing working parameters are pre-set, and the arc extinguishing working parameters include the arc extinguishing chamber working environment parameters and the arc extinguishing chamber workload parameters, wherein the arc extinguishing chamber working environment parameters include temperature, humidity, and pollution level; the arc extinguishing chamber workload parameters include working voltage, working current, and working frequency; the low-voltage circuit breaker is tested and analyzed in the closing arc extinguishing process by combining experiments with intelligent detection technology, and the arc extinguishing prediction value close to the actual value is obtained by designing the test and analysis process to realize the accurate result of the evaluation of the electric shock life of the arc extinguishing chamber.

[0024] Since this design is for low-voltage circuit breakers, the low-voltage parameters in the arc extinguishing chamber workload parameters are set as conditional variables to different low-voltage intensity levels; the electric shock arc state is further analyzed according to different low-voltage intensity levels. Specifically, firstly, the real-time arc extinguishing performance indicators are collected through digital sensors according to the preset time period. The arc extinguishing performance indicators here include arc extinguishing time, arc extinguishing current, and insulation resistivity; and the data information after the digital sensor signal is converted is tested and processed in the next step, and the cumulative number of closing operations is recorded during the opening and closing process of the low-voltage circuit breaker according to the preset time period.

[0025] Then, according to the real-time arc extinguishing performance index parameters in the arc extinguishing chamber obtained under different low-voltage intensity levels, simulation is performed, the arcing process change image of each closing operation of the circuit breaker is simulated, and a three-dimensional arc extinguishing model is established to obtain the morphological image information of the arc. Feature extraction and analysis are performed through the arcing process change image to obtain standard arc change state information, and the standard arc state coefficient is used as data for extraction, thereby providing a reference basis for the next step of predicting the arc extinguishing state.

[0026] Next, the arc extinguishing prediction analysis is performed on the data obtained at the same low-voltage intensity level, mainly by inputting the real-time arc extinguishing performance index parameters and the standard arc state coefficient as the training set into the preset analysis model for prediction analysis. The preset analysis model here is obtained through the process of recognition processing based on the recurrent neural network model, and the analysis model also obtains the arc extinguishing prediction value through calculation, compares the arc extinguishing prediction value with the preset standard threshold, and performs further operations based on the judgment result. If it is less than the preset standard threshold, return to the previous step to continue closing the circuit, otherwise continue to the next step.

[0027] Furthermore, the arc extinguishing prediction value obtained in the previous step S3 and the cumulative number of closing operations of the circuit breaker of the same low-voltage strength level and the historical evaluation factor are used as the validation set input to the analysis model after prediction for training and construction of the arc extinguishing chamber electric shock life evaluation model; specifically, the arc extinguishing prediction value, the cumulative number of closing operations, and the historical evaluation factor can be used as the neuron input of the input layer. For example, if there are n historical evaluation factors, the number of neurons in the input layer can be n+2 (plus the arc extinguishing prediction value and the cumulative number of closing operations); the hidden layer can also be set up in multiple layers according to the specific situation, and the input data can be nonlinearly transformed by adjusting the weights and biases between the neurons in the hidden layer to extract the complex relationship between the data; the output layer can be a neuron, which is used to represent the predicted value of the electric shock life of the arc extinguishing chamber, for example, in the form of the remaining number of closing operations or the remaining normal working time; and the input data is constructed as a feature vector, and the data in the low-dimensional space is mapped to the high-dimensional space through a kernel function (such as a Gaussian kernel function, etc.), and an optimal hyperplane is found in the high-dimensional space to divide the data of different electric shock life states.

[0028] Among them, the historical evaluation factors include the performance parameters of the contact materials in the low-voltage circuit breaker for arc extinguishing, the arc energy of each arcing, the value of the vacuum degree, and the structural parameters of the arc extinguishing chamber, etc. Finally, the arc extinguishing chamber electric shock life evaluation model is verified and optimized by the arc extinguishing prediction values ​​of different low-voltage strength levels and the cumulative number of closings during the arc extinguishing prediction process during actual operation, and the evaluation results are output; the evaluation results are output in the form of state classification. For example, if the model divides the electric shock life into different states (such as good, general, and poor), the corresponding state classification results are output and the judgment basis is given. For example, according to the model calculation results, the electric shock life state of the arc extinguishing chamber of a certain low-voltage strength level is judged to be "general", based on the fact that the input arc extinguishing prediction value and the cumulative number of closings in the model The corresponding feature space area matches the division standard of the "general" state.

[0029] As an implementation mode of the present invention, the process of establishing the arc extinguishing three-dimensional model in S2 is: S21. Construct simulation samples based on real-time arc extinguishing performance index parameters corresponding to different low-voltage intensity levels; S22, inputting the simulation sample into an initial magnetohydrodynamic (MHD) model to obtain simulated arc state parameters; S23, recording the simulated arc state parameters at each time step to construct a two-dimensional image sequence during the arcing process; S24. An interpolation algorithm is used to expand the two-dimensional image sequence into three-dimensional space, and a three-dimensional arc extinguishing model is constructed through three-dimensional modeling software.

[0030] In the above technical solution, the arc extinguishing three-dimensional model established in this embodiment is a process of optimizing and constructing based on the initial magnetohydrodynamic (MHD) model. First, in the MHD model, the basic physical laws such as the conservation of mass, momentum, energy and Maxwell's equations of plasma are taken into account. For example, the arc will rotate, stretch and other movements under the action of the magnetic field, which will affect the arc burning time and arc extinguishing effect. By solving the MHD equations, the distribution state of parameters such as temperature, pressure and speed of the arc can be obtained. Therefore, this design first constructs a simulation sample based on the real-time arc extinguishing performance index parameters corresponding to different low-pressure intensity levels; then the simulation sample is used as the model input to obtain the simulated arc state parameters; the simulated arc state parameters reflect the changes in the motion state, temperature distribution and pressure distribution of the simulated arc plasma in the arc extinguishing chamber; and by recording the simulated arc state parameters at each time step, the two-dimensional image sequence in the arc burning process is constructed. For example, a curve is drawn with time as the horizontal axis and a characteristic parameter of the arc (such as arc length) as the vertical axis, or a two-dimensional contour map of the temperature distribution and pressure distribution of the arc in the arc extinguishing chamber at different times is drawn; finally, the two-dimensional image sequence is expanded into three-dimensional space by an interpolation algorithm, and a three-dimensional arc extinguishing model is constructed by a three-dimensional modeling software, and these two-dimensional images are converted into the construction data of the three-dimensional model by a suitable algorithm. The interpolation algorithm can be used to expand the two-dimensional data into three-dimensional space, for example, data points are generated according to certain rules (such as linear interpolation or interpolation based on physical models) in the direction perpendicular to the two-dimensional image plane. Such as arc length, arc diameter, arc temperature, and particle concentration inside the arc, these data will be used to construct a changing image of the arc burning process; three-dimensional modeling software (such as ANSYS, COMSOL, etc.) or self-developed modeling programs are used to construct the three-dimensional arc extinguishing model.

[0031] As an implementation mode of the present invention, the method of performing feature extraction and analysis on the arcing process change image in S2 to obtain the standard arc state coefficient is: Conduct deep learning on historical bow-net arcing dataset based on convolutional neural network model; The arcing process change image is input into the convolutional neural network model after deep learning for grid segmentation to obtain the target feature parameters for arc morphology positioning; By formula = Calculate the standard arc state coefficient ; in, It is the time period for arcing when the circuit breaker is closed. It is the time period for the circuit breaker to open and extinguish the arc. is the first preset weight coefficient, is the second preset weight coefficient, and > >0.

[0032] In the above technical scheme, in this embodiment, the arcing process change image is grid segmented by the convolutional neural network model after learning the historical bow-net arcing data, and the target feature parameters are screened. The target feature parameters here are based on the arc morphology positioning, which reflects the position state of the morphological change from arcing to arcing extinction, and then the arc state standardization coefficient is analyzed according to the time change from arcing to arcing extinction. The specific calculation process is: the standard arc state coefficient is obtained by calculating the formula , through the standard arc state coefficient The change state of arc length in the arc extinguishing chamber during the arcing process from arc generation to arc extinguishing in each closing operation can be analyzed, reflecting the normal state of arcing.

[0033] It should be noted that the preset weight coefficient , They are all selected and set based on historical experience data and will not be elaborated here.

[0034] As an implementation mode of the present invention, S3 includes: By formula Calculate the arc extinction prediction value ; in, is the total number of closing times, < ≤ , The critical number of closing times for the shock life of the arc extinguishing chamber of the preset circuit breaker; Preset weight coefficient for arc extinguishing time, Preset weight coefficient for arc extinguishing current, Preset weighting factors for insulation resistivity; For the Arc extinguishing time for the first closing, For the Arc extinguishing current for each closing circuit breaker, For the Secondary closing insulation resistivity; For the Standard arc extinguishing time for each closing, For the Standard arc extinguishing current for each closing, For the Standard insulation resistivity of the first closing switch; is the first arc state function, is the second arc state function, is the third arc state function.

[0035] In the above technical solution, the arc extinguishing prediction under the current low-voltage intensity level during the test operation is calculated based on the standard arc state coefficient in this embodiment, and the formula Calculate the arc extinction prediction value , through the changes of arc extinguishing performance index parameters, it is judged whether the arc extinguishing process under the current standard telephone state is complete, and then it is judged whether it meets the requirements according to the size of the predicted value, so as to ensure further evaluation of the current simulated arc extinguishing completion degree and generate evaluation results that meet actual needs.

[0036] in, The critical value is obtained by simulating the number of times that the low-voltage circuit breaker that is actually closed may have problems that affect the life of electric shock. This value can be 100, 200 or other times. It is specifically set according to the simulation results of the actual closing of the circuit breaker. , , , , , All of them are obtained after fitting based on empirical test data, which will not be described in detail here; arc state function , , In order to reflect the changes of the closing arc extinguishing time, closing arc extinguishing current and closing insulation resistivity under the standard arc state coefficient, the arc extinguishing prediction value is further calculated to reflect the accurate state of the arc extinguishing process.

[0037] As an embodiment of the present invention, the first arc state function , the second arc state function , the third arc state function The calculation method is: First arc state function: ; Second arc state function: ; The third arc state function: ; in, For the Secondary closing arc state coefficient; is the first conversion function, is the second conversion function; is the third conversion function; is the standard arc state coefficient.

[0038] In the above technical solution, this embodiment uses the first conversion function , the second conversion function And the third conversion function It is obtained by fitting the test data under the normal arc extinguishing state under the current low-voltage state. By setting different conversion functions, the adaptability of different parameters to the arc extinguishing state is guaranteed, which is conducive to obtaining the arc extinguishing prediction value by substituting the closing arc extinguishing time, closing arc extinguishing current, and closing insulation resistivity.

[0039] As an embodiment of the present invention, it also includes: The arc extinction prediction value The threshold interval of the preset arc extinction prediction standard To compare: like ∈ , it is judged that the arc extinguishing completion degree under the current low-voltage intensity level is general, so it returns to the previous step and continues the arc extinguishing test.

[0040] like < , it is judged that the arc extinguishing completion degree under the current low-voltage intensity level is high, and the next step of evaluation is continued.

[0041] like > , it is judged that the arc extinguishing completion degree under the current low-voltage intensity level is low, and returns to the previous step to continue the arc extinguishing test.

[0042] As an embodiment of the present invention, the low-voltage intensity level includes a first-level low-voltage parameter, a second-level low-voltage parameter, and a third-level low-voltage parameter, and the low-voltage intensity level is: the first-level low-voltage parameter> the second-level low-voltage parameter> the third-level low-voltage parameter; by analyzing the change state of the arc state coefficient of the current low-voltage intensity level of the arc extinguishing chamber, the current low-voltage intensity level is adjusted according to the change state result.

[0043] As an embodiment of the present invention, it includes: Obtain the curve of arc state coefficient of the current low-voltage intensity level of the arc extinguishing chamber as a function of the cumulative number of closing times ; Obtain the standard change curve for the same cumulative closing times according to the standard arc state coefficient ; The change curve Variation curve with standard Construct them in the same coordinate system and overlap their areas With preset standard area For comparison: like < , it is judged that the current low pressure intensity level is too low, and the current low pressure intensity level is increased.

[0044] See also Figure 1 As shown, as an embodiment of the present invention, the system includes: A data acquisition module is used to collect real-time arc extinguishing performance index parameters in arc extinguishing chambers of different low-voltage intensity levels and the cumulative number of closing operations of circuit breakers of different low-voltage intensity levels within a preset time period through digital sensors; arc extinguishing performance index parameters include arc extinguishing time, arc extinguishing current, and insulation resistivity; The arc extinguishing three-dimensional model building module is used to simulate the arcing process change image of each closing operation of the circuit breaker based on the real-time arc extinguishing performance index parameters in the arc extinguishing chamber with different low-voltage intensity levels, establish the arc extinguishing three-dimensional model, and perform feature extraction and analysis on the arcing process change image to obtain the standard arc state coefficient; The prediction module, under the same low-voltage intensity level background, inputs the real-time arc extinguishing performance index parameters and the standard arc state coefficient into the preset analysis model for prediction analysis, obtains the arc extinguishing prediction value, and determines whether the arc extinguishing prediction value is lower than the preset standard threshold: If not, return to step S1 and continue the closing operation; If yes, go to the next step; The evaluation module is trained based on the arc extinguishing prediction value obtained in step S3 and the cumulative number of circuit breaker closing operations corresponding to the same low-voltage intensity level and the historical evaluation factor input into the predicted analysis model to construct an arc extinguishing chamber electric shock life evaluation model; verify and optimize the arc extinguishing chamber electric shock life evaluation model, and output the evaluation results.

[0045] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0046] The above specific embodiments of this specification are described. Other embodiments are within the scope of the attached documents. In some cases, the actions or steps recorded in this application can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0047] The above contents are merely examples and explanations of the concept of the present invention. Technicians in the relevant technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this application, they should all fall within the protection scope of the present invention.

Claims

1. A method for evaluating the electric shock life of an arc extinguishing chamber of a low-voltage circuit breaker, characterized in that: The method comprises: S1. Preset the low-voltage intensity level of the arc extinguishing chamber, and collect the real-time arc extinguishing performance index parameters of the arc extinguishing chambers with different low-voltage intensity levels and the cumulative number of closing operations of circuit breakers with different low-voltage intensity levels in a preset time period through a digital sensor; the arc extinguishing performance index parameters include arc extinguishing time, arc extinguishing current, and insulation resistivity; S2. Based on the real-time arc extinguishing performance index parameters in the arc extinguishing chamber with different low-voltage intensity levels, simulate the arcing process change image of each closing operation of the circuit breaker, establish an arc extinguishing three-dimensional model, and perform feature extraction and analysis on the arcing process change image to obtain the standard arc state coefficient; S3. Under the same low-voltage intensity level background, the real-time arc extinguishing performance index parameters and the standard arc state coefficient are input into the preset analysis model for prediction analysis, the arc extinguishing prediction value is obtained, and it is determined whether the arc extinguishing prediction value is lower than the preset standard threshold value: If not, return to step S1 and continue the closing operation; If yes, go to the next step; S4, based on the arc extinguishing prediction value obtained in step S3 and the cumulative number of closing operations of circuit breakers of the same low-voltage strength level and the historical evaluation factor, the predicted analysis model is input for training to construct an arc extinguishing chamber electric shock life evaluation model; S5. Verify and optimize the arc extinguishing chamber electric shock life evaluation model and output the evaluation results.

2. The method for evaluating the electric shock life of the arc extinguishing chamber of a low-voltage circuit breaker according to claim 1 is characterized in that: In S2, based on the real-time arc extinguishing performance index parameters in the arc extinguishing chambers with different low-voltage intensity levels, the process of simulating the arcing process change image of each closing operation of the circuit breaker and establishing the arc extinguishing three-dimensional model is as follows: S21. Construct simulation samples based on real-time arc extinguishing performance index parameters corresponding to different low-voltage intensity levels; S22, inputting the simulation sample into the initial magnetohydrodynamic model to obtain simulated arc state parameters; S23, recording the simulated arc state parameters at each time step to construct a two-dimensional image sequence during the arcing process; S24. An interpolation algorithm is used to expand the two-dimensional image sequence into three-dimensional space, and a three-dimensional arc extinguishing model is constructed through three-dimensional modeling software.

3. The method for evaluating the electric shock life of the arc extinguishing chamber of a low-voltage circuit breaker according to claim 2, characterized in that: The method for performing feature extraction and analysis on the arcing process change image in S2 to obtain the standard arc state coefficient is: Conduct deep learning on historical bow-net arcing dataset based on convolutional neural network model; The arcing process change image is input into the convolutional neural network model after deep learning for grid segmentation to obtain the target feature parameters for arc morphology positioning; By formula = Calculate the standard arc state coefficient ; in, It is the time period for arcing when the circuit breaker is closed. It is the time period for the circuit breaker to open and extinguish the arc. is the first preset weight coefficient, is the second preset weight coefficient, and > >

0.

4. The method for evaluating the electric shock life of the arc extinguishing chamber of a low-voltage circuit breaker according to claim 1, characterized in that: The S3 includes: By formula: Calculate the arc extinction prediction value ; in, is the total number of closing times, < ≤ , The critical number of closing times for the shock life of the arc extinguishing chamber of the preset circuit breaker; Preset weight coefficient for arc extinguishing time, Preset weight coefficient for arc extinguishing current, Preset weighting factors for insulation resistivity; For the Arc extinguishing time for the first closing, For the Arc extinguishing current for each closing circuit breaker, For the Secondary closing insulation resistivity; For the Standard arc extinguishing time for each closing, For the Standard arc extinguishing current for each closing, For the Standard insulation resistivity of the first closing switch; is the first arc state function, is the second arc state function, is the third arc state function.

5. The method for evaluating the electric shock life of the arc extinguishing chamber of a low-voltage circuit breaker according to claim 4, characterized in that: The first arc state function , the second arc state function , the third arc state function The calculation method is: First arc state function: ; Second arc state function: ; The third arc state function: ; in, For the Secondary closing arc state coefficient; is the first conversion function, is the second conversion function; is the third conversion function; is the standard arc state coefficient.

6. The method for evaluating the electric shock life of the arc extinguishing chamber of a low-voltage circuit breaker according to claim 4, characterized in that: Also includes: The arc extinction prediction value The preset arc extinction prediction threshold range To compare: like ∈ , it is judged that the arc extinguishing degree under the current low-voltage intensity level is average; like < , it is judged that the arc extinguishing completion degree is high under the current low-voltage intensity level; like > , it is judged that the arc extinguishing completion degree under the current low-voltage intensity level is low.

7. The method for evaluating the electric shock life of the arc extinguishing chamber of a low-voltage circuit breaker according to claim 1, characterized in that: The low pressure intensity level includes level one low pressure parameter, level two low pressure parameter and level three low pressure parameter, and the low pressure intensity level is: level one low pressure parameter>level two low pressure parameter>level three low pressure parameter; Analyze the change state of the arc state coefficient of the current low-voltage intensity level of the arc extinguishing chamber, and adjust the current low-voltage intensity level according to the change state results.

8. The method for evaluating the electric shock life of the arc extinguishing chamber of a low-voltage circuit breaker according to claim 7, characterized in that: include: Obtain the curve of arc state coefficient of the current low-voltage intensity level of the arc extinguishing chamber as a function of the cumulative number of closing times ; Obtain the standard change curve for the same cumulative closing times according to the standard arc state coefficient ; The change curve Variation curve with standard Construct them in the same coordinate system and overlap their areas With preset standard area For comparison: like < , it is judged that the current low pressure intensity level is too low, and the current low pressure intensity level is increased.

9. A system for evaluating the electric shock life of an arc extinguishing chamber of a low voltage circuit breaker, characterized in that: A method for evaluating the electric shock life of an arc extinguishing chamber of a low-voltage circuit breaker according to any one of claims 1 to 8, comprising: A data acquisition module, used to collect real-time arc extinguishing performance index parameters in arc extinguishing chambers of different low-voltage intensity levels and the cumulative number of closing operations of circuit breakers of different low-voltage intensity levels within a preset time period through a digital sensor; the arc extinguishing performance index parameters include arc extinguishing time, arc extinguishing current, and insulation resistivity; The arc extinguishing three-dimensional model building module is used to simulate the arcing process change image of each closing operation of the circuit breaker based on the real-time arc extinguishing performance index parameters in the arc extinguishing chamber with different low-voltage intensity levels, establish the arc extinguishing three-dimensional model, and perform feature extraction and analysis on the arcing process change image to obtain the standard arc state coefficient; The prediction module, under the same low-voltage intensity level background, inputs the real-time arc extinguishing performance index parameters and the standard arc state coefficient into the preset analysis model for prediction analysis, obtains the arc extinguishing prediction value, and determines whether the arc extinguishing prediction value is lower than the preset standard threshold: If not, return to step S1 and continue the closing operation; If yes, go to the next step; The evaluation module is trained based on the arc extinguishing prediction value obtained in step S3 and the cumulative number of circuit breaker closing operations corresponding to the same low-voltage intensity level and the historical evaluation factor input into the predicted analysis model to construct an arc extinguishing chamber electric shock life evaluation model; verify and optimize the arc extinguishing chamber electric shock life evaluation model, and output the evaluation results.

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