Installation quality test method and system for compact grounding circuit breaker

Abstract

The invention provides an installation quality test method and system for a compact grounding circuit breaker, and relates to the technical field of breaker testing, and the method comprises the steps: calling a breaker operation record, and excavating an installation test point in combination with a quality standard; configuring a pretest scene; carrying out installation circuit loop simulation, and determining scene simulation data; constructing a quality analysis module; transmitting the scene simulation data to a quality analysis module, executing abnormal frequency component identification and feature vector dimension transformation, performing scene quality evaluation, and determining a scene test result; generating a test single column, performing empowerment calculation, and determining a quality test coefficient; and a terminal display interface is visualized. According to the circuit breaker testing method and device, the technical problem that the testing efficiency is further affected due to the fact that the testing result is not accurate enough due to the fact that the testing scene is not comprehensive in the prior art can be solved, and the testing efficiency and accuracy are improved by digging the installation testing points meeting the fault probability threshold value, executing operation simulation of the scene and conducting comprehensive testing on the circuit breaker.

Description

Technical Field

[0001] The present application relates to the technical field of circuit breaker testing, and in particular to an installation quality testing method and system for a compact grounding circuit breaker. Background Art

[0002] With the continuous advancement of science and technology, the role of power system protection devices in power systems is becoming increasingly important. Among them, the circuit breaker, as a key protection device in the power system, has the main function of quickly cutting off the circuit when an overload or short circuit is detected in the circuit, preventing damage to electrical equipment and safety accidents such as fire. However, there are some problems in the installation and testing process of circuit breakers in the prior art. Traditional testing methods often only cover basic fault scenarios, such as simple short circuits and overloads, while ignoring more complex fault modes, such as ground faults. Due to the incompleteness of the test scenarios and the limitations of the test methods, the existing testing process is often time-consuming and inefficient.

[0003] In summary, the prior art has a technical problem in that the test results are not accurate enough due to the incomplete test scenarios, which further affects the test efficiency. Summary of the invention

[0004] The purpose of this application is to provide a method and system for testing the installation quality of a compact grounding circuit breaker, so as to solve the technical problem in the prior art that the test results are not accurate enough due to incomplete test scenarios, which further affects the test efficiency.

[0005] In view of the above problems, the present application provides a method and system for testing the installation quality of a compact grounding circuit breaker.

[0006] In a first aspect, the present application provides an installation quality test method for a compact grounding circuit breaker, which is implemented by an installation quality test system for a compact grounding circuit breaker, wherein the installation quality test method for a compact grounding circuit breaker comprises: calling a circuit breaker operation record, combining quality standards, and mining installation test points, wherein the installation test points meet a fault probability threshold and are marked with abnormal frequency components; traversing the installation test points, configuring pre-test scenarios, wherein the pre-test scenarios include a grounding fault class and an overload protection class, and taking a continuous test scenario as a test point configuration requirement; and performing installation test on a target circuit breaker. The circuit is simulated, and an operation simulation based on the pre-test scenario is performed to determine the scenario simulation data; a quality analysis module is constructed, wherein the quality analysis module includes a front feature transformation unit, and a static decision branch and a dynamic decision branch based on the twin network principle connected to the rear; the scenario simulation data is transmitted to the quality analysis module, abnormal frequency component identification and feature vector dimension transformation are performed, and the scene quality assessment is performed by combining static and dynamic to determine the scenario test result; the scenario test result is integrated and a test column is generated, and a weighted calculation is performed based on the scenario frequency to determine the quality test coefficient; the test column and the quality test coefficient are visualized on the terminal display interface.

[0007] In a second aspect, the present application further provides an installation quality testing system for a compact grounding circuit breaker, which is used to execute the installation quality testing method for a compact grounding circuit breaker as described in the first aspect, wherein the installation quality testing system for a compact grounding circuit breaker comprises: an operation record calling module, which is used to call the circuit breaker operation record, and mine installation test points in combination with quality standards, wherein the installation test points meet the fault probability threshold and are marked with abnormal frequency components; a test point mining module, which is used to traverse the installation test points and configure pre-test scenarios, wherein the pre-test scenarios include grounding fault classes and overload protection classes, and continuous test scenarios are used as test point configuration requirements; a circuit loop simulation module, which is used to perform installation circuit loop simulation on the target circuit breaker, and execute based on The operation simulation of the pre-test scenario determines the scenario simulation data; a data analysis module, the data analysis module is used to construct a quality analysis module, wherein the quality analysis module includes a front feature transformation unit, and a static decision branch and a dynamic decision branch based on the twin network principle connected to the back; a scenario evaluation module, the scenario evaluation module is used to transmit the scenario simulation data to the quality analysis module, perform abnormal frequency component identification and feature vector dimension transformation, and perform scene quality evaluation by combining static and dynamic methods to determine the scenario test results; a weighted calculation module, the weighted calculation module is used to integrate the scenario test results and generate a test column, perform weighted calculation based on the scenario frequency, and determine the quality test coefficient; an interface visualization module, the interface visualization module is used to visualize the test column and the quality test coefficient on the terminal display interface.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages: By calling the circuit breaker operation record, combined with the quality standard, the installation test point is mined, wherein the installation test point meets the fault probability threshold and is marked with an abnormal frequency component; traverse the installation test point, configure the pre-test scenario, the pre-test scenario includes the ground fault class and the overload protection class, and the continuous test scenario is used as the test point configuration requirement; the target circuit breaker is simulated for installation circuit loop, and the operation simulation based on the pre-test scenario is performed to determine the scenario simulation data; the quality analysis module is constructed, wherein the quality analysis module includes a front feature transformation unit, and a static decision branch and a dynamic decision branch based on the twin network principle connected to the back; the scenario simulation data is transmitted to the quality analysis module, and the abnormal frequency component identification and feature vector dimension transformation are performed, and the scenario quality assessment is performed by combining static and dynamic, and the scenario test results are determined; the scenario test results are integrated and a test single column is generated, and a weighted calculation is performed based on the scenario frequency to determine the quality test coefficient; the test single column and the quality test coefficient are visualized on the terminal display interface. In other words, by mining the installation test points that meet the fault probability threshold, executing the scenario operation simulation, and conducting a comprehensive test on the circuit breaker, the efficiency and accuracy of the test are improved.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0011] Figure 1 A schematic flow chart of a method for testing the installation quality of a compact grounding circuit breaker of the present application; Figure 2 A schematic diagram of the structure of the installation quality test system of the compact grounding circuit breaker of the present application.

[0012] Explanation of the accompanying drawings: operation record calling module 11, test point mining module 12, circuit loop simulation module 13, data analysis module 14, scenario evaluation module 15, weighted calculation module 16, interface visualization module 17. DETAILED DESCRIPTION

[0013] This application provides a method and system for testing the installation quality of a compact grounding circuit breaker, which solves the technical problem in the prior art that the test results are not accurate enough due to the incomplete test scenario, which further affects the test efficiency. By mining the installation test points that meet the fault probability threshold, executing the operation simulation of the scenario, and conducting a comprehensive test on the circuit breaker, the test efficiency and accuracy are improved.

[0014] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0015] For example, please refer to the attached Figure 1 The present application provides a method for testing the installation quality of a compact grounding circuit breaker, wherein the method for testing the installation quality of a compact grounding circuit breaker is applied to a system for testing the installation quality of a compact grounding circuit breaker, and the method for testing the installation quality of a compact grounding circuit breaker specifically comprises the following steps: Step 1: Call the circuit breaker operation record, combine the quality standards, and mine the installation test points, wherein the installation test points meet the fault probability threshold and are marked with abnormal frequency components.

[0016] Specifically, historical operation data is extracted from the monitoring system or maintenance management system of the circuit breaker, including the switch operation, fault record, current and voltage reading of the circuit breaker, etc., which reflects the status and performance of the circuit breaker in actual operation. The operation record contains the operation data of the circuit breaker over a period of time, such as the number of switches, the number of faults, the current load, etc. For example, if a circuit breaker frequently has current overload in the operation record, then this point is a fault point that needs to be tested in focus. The operation status of the circuit breaker is evaluated by referring to the relevant quality standards of the industry, such as IEC standards, GB standards, etc. By analyzing the operation records, the circuit breaker components or functional points with problems are found. The fault probability threshold is a pre-set fault probability value used to judge the acceptable level of equipment failure risk. If this value is exceeded, it is considered that the test point has a high failure risk. By analyzing the historical operation data, areas where the failure probability exceeds the predetermined threshold are identified. These test points are marked as containing abnormal frequency components, indicating potential failure modes or performance problems. For example, the part of the data such as electrical data and signals that may cause abnormalities. By analyzing operating records and quality standards, test points with a high probability of failure can be identified, allowing resources and attention to be focused on these critical areas.

[0017] Step 2: traverse the installation test points and configure pre-test scenarios, which include ground fault and overload protection categories, with continuous test scenarios as test point configuration requirements.

[0018] Specifically, pay attention to the installation test points and configure pre-test scenarios for each point. Pre-test scenarios refer to test conditions or scenarios defined before the actual test, which are used to simulate different fault conditions. Pre-test scenarios include two categories: ground fault and overload protection. The ground fault category simulates the situation where the circuit breaker grounding system fails, such as the grounding line is disconnected or the grounding resistance is too high. The overload protection category simulates the protection action of the circuit breaker when the circuit is overloaded, such as simulating the situation of exceeding the rated current to verify whether the circuit breaker can correctly disconnect the circuit when overloaded. By configuring multiple pre-test scenarios, ensure that the circuit breaker can be fully tested under various possible fault conditions.

[0019] Step 3: Simulate the installation circuit loop of the target circuit breaker, perform operation simulation based on the pre-test scenario, and determine scenario simulation data.

[0020] Specifically, create a test environment that is as similar as possible to the actual working environment, including simulating the connection method, load conditions, and other factors that may affect the performance of the circuit breaker in the actual power system. Circuit loop simulation refers to the use of software tools to simulate the behavior of the circuit to predict the performance of the circuit under actual conditions. Perform a series of tests in a simulated environment to simulate different working conditions that the circuit breaker may encounter, including ground faults, overloads, short circuits, etc. By simulating these scenarios, observe the response of the circuit breaker under different fault conditions and collect relevant data. Through simulated circuit loops, simulate the performance of the circuit breaker in the actual working environment and accurately evaluate the performance of the circuit breaker.

[0021] Step 4: Construct a quality analysis module, wherein the quality analysis module includes a front feature transformation unit and a rear-connected static decision branch and a dynamic decision branch constructed based on the twin network principle.

[0022] Specifically, a module for analyzing and evaluating product quality is constructed, which is capable of processing input data and outputting quality evaluation results. The quality analysis module contains a pre-feature transformation unit to preprocess and extract features from the original test data. The feature transformation unit includes algorithms such as filtering, denoising, and feature selection, and its purpose is to convert complex data into features that are easier to analyze and understand. The twin network is a special neural network structure consisting of two almost identical networks that are used to compare the similarity of two input data. In the quality analysis module, the static decision branch and the dynamic decision branch are used to handle different decision problems respectively. The static decision branch is used to handle decision problems that do not require real-time response, that is, static data, such as fixed parameters of circuit breakers. The dynamic decision branch is used to handle decision problems that require real-time response, that is, dynamic data, such as real-time operation data of circuit breakers. By combining static and dynamic data analysis, the installation quality of circuit breakers is comprehensively evaluated.

[0023] Step 5: The scene simulation data is transmitted to the quality analysis module, abnormal frequency component identification and feature vector dimension transformation are performed, and the scene quality assessment is performed by combining dynamic and static methods to determine the scene test results.

[0024] Specifically, the scenario simulation data is transmitted to the quality analysis module, which processes the data and identifies abnormal frequency components. Once the abnormal frequency components are identified, the quality analysis module will perform feature vector dimension transformation, including filtering, standardization, dimensionality reduction and other operations on the data. The first valid feature vector is segmented to determine the node feature vector and the continuous feature vector, and the vectors are processed using static and dynamic dimensions respectively to determine the dynamic detection results and static detection results. The static decision branch processes static data, such as the inherent characteristics of the circuit breaker; the dynamic decision branch processes dynamic data, such as the behavior of the circuit breaker in actual operation. The dynamic detection results and the static detection results are integrated to determine the scenario test results. By identifying abnormal frequency components and comparing and analyzing the static and dynamic characteristics of the circuit breaker, faults can be detected and diagnosed more accurately, thereby improving the ability of fault detection and diagnosis.

[0025] Step 6: Integrate the scenario test results and generate a test column, perform weighted calculation based on the scenario frequency, and determine the quality test coefficient.

[0026] Specifically, multiple scenarios are tested, including overload protection, short-circuit response, temperature stability, etc. The test results obtained in different test scenarios are integrated, including the performance data of the circuit breaker under different load, temperature, voltage and other conditions. A test list is generated according to a certain format. A test list is a document that records the performance data of the circuit breaker, including various test scenarios and test results. In the test list, weighted calculations are performed according to the frequency of occurrence of different scenarios. The more times a certain scenario appears in the test, the greater its impact on the overall performance evaluation, and the higher the corresponding weight. For example, if overload protection is a common test scenario, a higher weight is assigned. Through weighted calculations, the contribution of each test scenario to the overall performance is determined, so as to obtain the quality test coefficient, which reflects the performance level of the circuit breaker under different conditions. Through weighted calculations, the performance of the circuit breaker in different scenarios can be more accurately evaluated, which helps to optimize the performance evaluation and selection of circuit breakers.

[0027] Step 7: Visualize the test column and the quality test coefficient on a terminal display interface.

[0028] Specifically, the test columns and the quality test coefficients calculated based on the test results are integrated. A terminal display interface is designed to display the integrated data, and complex test data and performance indicators are displayed in the form of charts, graphs, etc. On the terminal display interface, visualization tools such as charts and graphs are used to display test columns and quality test coefficients. For example, a bar chart or line chart is used to display performance data under different test scenarios, and a pie chart or histogram is used to display the distribution of quality test coefficients. Through visualization, the performance of the circuit breaker under different test scenarios can be quickly understood.

[0029] Furthermore, the present application also includes the following steps: Interacting the redundant structure of the target circuit breaker, wherein the redundant structure includes installation circuit redundancy and circuit breaker structure redundancy; identifying the redundant structure and determining redundant protection logic; based on the redundant protection logic, performing redundant fault tolerance analysis of scenario testing and determining redundant test features; and adding the redundant test features into the test list.

[0030] Specifically, the redundant structure of the target circuit breaker refers to the redundant parts or mechanisms designed in the circuit breaker to improve reliability and safety. The redundant structure includes installation circuit redundancy and circuit breaker structure redundancy. Installation circuit redundancy refers to the spare or backup components included in the installation circuit of the circuit breaker, which take over its function when the main component fails. Circuit breaker structure redundancy involves spare components or mechanisms in the internal design of the circuit breaker to improve its reliability and safety. Identify the redundant structure in the circuit breaker, including spare circuit breakers, spare contacts, spare circuits, etc. After identifying the redundant structure, it is necessary to formulate the corresponding protection logic, including determining under what circumstances to start the spare components and how to ensure that the spare components can smoothly take over the functions of the main components. For example, if the main circuit breaker fails, the protection logic includes automatically switching to the spare circuit breaker and ensuring that the spare circuit breaker can correctly cut off the circuit.

[0031] Based on the identified and determined redundant protection logic, test scenarios are designed to simulate various fault conditions that may occur in actual operation, such as main circuit breaker failure, circuit short circuit, etc. Evaluate how the redundant structure of the circuit breaker responds to and handles these faults, including observing whether the backup components can smoothly take over the functions of the main components, as well as the response time and recovery capabilities of the entire system. Through scenario testing, determine the key features related to redundancy testing, such as the response time of the backup components, the recovery speed of the system, the accuracy of fault detection, etc. Add key features to the test list to show the performance of the redundant structure in the test report. The test list is a document that records the test results of the circuit breaker, which contains various test scenarios and test results. Adding redundant test features to the test list can more comprehensively record the performance and reliability of the circuit breaker. By recording redundant test features, diagnose and predict possible problems with the circuit breaker, thereby improving the ability to diagnose and predict faults.

[0032] Further, step three of this application includes: Determine a first pre-test scenario and set time zone scenario data, wherein the time zone scenario data includes a plurality of scenario nodes based on continuous scenario variables; perform operation simulation and scenario adjustment management based on the time zone scenario data to determine first scenario simulation data.

[0033] Specifically, a specific test scenario is selected to simulate a working condition that the circuit breaker may encounter. For example, simulate the response of the circuit breaker under a ground fault condition. A series of data points are defined for the selected test scenario, which are based on continuous scenario variables. Continuous scenario variables refer to parameters that will change continuously during the test, such as time, current, voltage, etc. Each scenario node represents a data point at a specific moment or condition. Based on the set time zone scenario data, run simulation and scenario adjustment management are performed, the test is performed in the simulation environment, and the test conditions are adjusted according to the data of the scenario node. In this way, the response of the circuit breaker under actual working conditions is simulated and relevant data is collected. For example, suppose a circuit breaker for protecting a power system is being tested, and simulated load changes are selected as the first pre-test scenario. A series of scenario nodes are set, each node represents a load value at a specific moment, which will be used to simulate the situation where the load gradually increases. By setting the time zone scenario data and continuous scenario variables, the performance of the circuit breaker in the actual working environment is finely simulated.

[0034] Further, step 4 of this application includes: Determine a feature transformation standard, wherein the feature transformation standard is determined based on a multi-dimensional and multi-scale combination; perform unit domain division based on the feature transformation standard, determine the unit structure and perform data-driven training to determine multiple feature transformation areas; integrate the multiple feature transformation areas, perform independent calculation domain configuration, and determine the feature transformation unit, wherein the multiple feature transformation areas are selectively triggered.

[0035] Specifically, feature transformation criteria are determined based on multiple dimensions (e.g., time, space, frequency, etc.) and multiple scales (e.g., coarse-grained, fine-grained, etc.) of the data. Feature transformation criteria refer to a set of rules or algorithms used to transform raw test data, with the goal of converting the data into a format that is more suitable for analysis and evaluation. The data set is divided into multiple units or regions, each of which contains data points with similar characteristics. A structure is defined for each unit, and a model is trained to identify features through a data-driven approach. The model is trained using data to enable it to recognize and understand patterns and features in the data. Different regions are identified, and specific feature transformations are applied to each region. Multiple feature transformation regions are integrated into a unified system, merging feature transformation results from different time periods or under different conditions. Independent computing resources and algorithms are allocated to each feature transformation region, allowing each feature transformation region to be optimized according to its own characteristics and needs, thereby improving the performance and efficiency of the entire system. Different feature transformation regions are selectively triggered according to specific conditions or needs. For example, when a specific fault mode is detected, only the feature transformation region associated with the fault mode is triggered, improving the accuracy and efficiency of fault diagnosis. The multi-dimensional and multi-scale combination ensures the comprehensiveness and accuracy of data conversion. The selective triggering mechanism of the feature transformation unit improves the flexibility and responsiveness of the system, enabling it to dynamically adjust the processing flow according to different data characteristics.

[0036] Further, step five of this application includes: The first scenario simulation data is transmitted to the feature transformation unit, abnormal frequency components are identified and the dimensional transformation layer is triggered to perform dimensional transformation processing to determine the first valid feature vector; the first valid feature vector is identified, feature vector segmentation and branch decision processing are performed based on the dynamic and static dimensions, and the first scenario test result is output.

[0037] Specifically, the first scenario simulation data is transmitted to the feature transformation unit, including the measured values ​​of parameters such as current, voltage, and temperature. The feature transformation unit processes the transmitted data and identifies abnormal frequency patterns, which are related to specific faults or performance issues. Once the abnormal frequency components are identified, the feature transformation unit triggers the dimension transformation layer to perform further dimension transformation processing on the data, including filtering, standardization, and dimensionality reduction operations on the data. Through the dimension transformation processing, the feature transformation unit determines the first valid feature vector, which contains key information about the performance of the circuit breaker. The key features that can reflect the performance of the circuit breaker are identified, and the feature vectors are divided into different categories according to the different dynamic characteristics of the data. The feature vectors are divided into node feature vectors and continuous feature vectors. The node feature vectors are transferred to the static decision branch for processing. The static decision branch is usually responsible for processing relatively static data features, such as the inherent characteristics of the circuit breaker or performance indicators under steady-state working conditions. The continuous feature vectors are transferred to the dynamic decision branch. The dynamic decision branch is usually responsible for processing data features that change continuously over time, such as the dynamic behavior of the circuit breaker in actual operation or time series data. Integrate the first static test results and the first dynamic test results to determine the test results of the first scenario, such as whether the circuit breaker has passed the load change and continuous operation tests. By integrating the static and dynamic test results, the overall performance of the circuit breaker in the first scenario is comprehensively evaluated, reflecting the comprehensive performance of the circuit breaker in a specific test scenario, including its static and dynamic performance.

[0038] Furthermore, the present application also includes the following steps: Match the first abnormal frequency component of the first pre-test scenario and set a first self-attention mechanism; identify the first scenario simulation data, and identify the abnormal frequency component based on the feature transformation unit guided by the first self-attention mechanism to determine the first feature vector; match the feature transformation area of ​​the first feature vector, perform feature vector compression and dimensionality reduction, and determine the first effective feature vector, wherein the effective feature vector corresponds one-to-one to the multiple scene nodes.

[0039] Specifically, the first abnormal frequency component in the first pre-test scenario is matched, and the test data is subjected to spectrum analysis, such as Fourier transform, to identify the abnormal frequency component in the data. For example, if the pre-test scenario is to simulate the response of the circuit breaker under a specific load, it is necessary to identify the abnormal frequency component associated with the load. A first self-attention mechanism is set, which is an advanced neural network technology that allows the model to focus on a specific part of the input data, thereby improving the processing efficiency and accuracy of the model. In the circuit breaker test, the self-attention mechanism is used to more accurately identify and process abnormal frequency components. The first self-attention mechanism is applied in the feature transformation unit to identify the abnormal frequency component in the simulated data of the first scenario. After the abnormal frequency component is identified, a set of feature vectors containing important feature information is determined. The first feature vector after feature transformation processing is matched with a pre-set feature transformation area. The feature transformation area is divided according to different requirements and conditions of the test scenario, and each area may contain specific feature transformation rules or algorithms. Through matching, it is ensured that the feature vector meets the specific transformation requirements. After matching the feature transformation area, the first feature vector is compressed and reduced to reduce the dimension of the feature vector to improve the efficiency of data processing and reduce the computational complexity. For example, feature vectors can be compressed by principal component analysis (PCA) or other dimensionality reduction techniques. The first valid feature vector can be determined by feature transformation area matching and compression and dimensionality reduction processing. These feature vectors contain key information about the performance of the circuit breaker and correspond one-to-one to multiple pre-set scenario nodes, which means that each scenario node has a corresponding valid feature vector corresponding to it, reflecting the performance characteristics of the circuit breaker in that scenario. Through the self-attention mechanism and feature transformation unit, key features are accurately extracted and a specific feature vector is assigned to each scenario node, which can comprehensively evaluate the performance of the circuit breaker in different scenarios and help identify potential problems.

[0040] Furthermore, the present application also includes the following steps: The first valid feature vector is segmented to determine a node feature vector and a continuous feature vector; the node feature vector is transferred to the static decision branch, and a first static detection result is determined with the feature state as the detection and judgment target; the continuous feature vector is transferred to the dynamic decision branch, and a first dynamic detection result is determined with the feature trend as the detection and judgment target, wherein a lateral interaction channel is established between the static decision branch and the dynamic decision branch; the first static detection result and the first dynamic detection result are integrated to determine the first scenario test result.

[0041] Specifically, the first effective feature vector, which contains feature values ​​at multiple time points, is divided into a node feature vector and a continuous feature vector. A node feature vector is a feature vector representing a specific time point, such as the features of a circuit breaker at different load levels. A continuous feature vector is a feature vector representing continuous changes over time, such as the features of a circuit breaker during continuous operation. The node feature vector after feature transformation and compression and dimensionality reduction processing is transferred to the static decision branch. The static decision branch is usually responsible for processing relatively static data features, such as the inherent characteristics of a circuit breaker or performance indicators under steady-state working conditions. In the static decision branch, the transferred feature state is detected and determined, and a machine learning algorithm or expert system is used to analyze the feature vector and determine whether it meets the expected state. For example, whether the parameters such as current and voltage in the feature vector are within a safe range, or whether there are abnormal patterns. Through detection and judgment, the static decision branch will output the first static detection result, which reflects the performance state of the circuit breaker in a static state, including whether there are potential problems or faults.

[0042] The continuous feature vector after feature transformation and compression and dimension reduction is transferred to the dynamic decision branch. The dynamic decision branch is usually responsible for processing data features that change continuously over time, such as the dynamic behavior of the circuit breaker in actual operation or time series data. In the dynamic decision branch, the continuous feature vector transferred is detected and judged, focusing on the change of feature trends. The feature vector is analyzed using machine learning algorithms or time series analysis methods to determine whether its trend conforms to the expected behavior. For example, the trend of the change of parameters such as current and voltage in the feature vector over time is detected to identify possible abnormal patterns. After detection and judgment, the dynamic decision branch will output the first dynamic detection result, which reflects the performance status of the circuit breaker under dynamic conditions. In the circuit breaker test, a lateral interaction channel is established between the static decision branch and the dynamic decision branch, which means that the two branches can share information and results to more comprehensively evaluate the performance of the circuit breaker. The lateral interaction channel refers to a communication mechanism established between two decision branches, allowing the two to share information and influence each other. For example, if the dynamic decision branch detects an abnormal trend, the relevant information can be passed to the static decision branch for the latter to conduct a more in-depth analysis.

[0043] The detection results of the static decision branch and the dynamic decision branch are integrated to form a complete test result of the first scenario. In a specific example, it is assumed that the simulation data of the first scenario includes parameters such as current intensity, frequency and temperature. First, the first valid feature vector is determined, and then it is divided into a node feature vector and a continuous feature vector. The node feature vector represents the characteristics at a specific time point, such as the characteristics of the circuit breaker at 10% load, 50% load and 100% load. The continuous feature vector represents the characteristic changes over a period of time, such as the characteristic changes of the circuit breaker within 10 consecutive minutes. Then the node feature vector is transferred to the static decision branch, and the first static detection result is determined based on the detection and judgment target. For example, the performance stability of the circuit breaker under different load levels is detected. Similarly, the continuous feature vector is transferred to the dynamic decision branch, and the first dynamic detection result is determined based on the characteristic trend as the detection and judgment target. For example, the performance stability of the circuit breaker during continuous operation is detected. Through the combination of the static decision branch and the dynamic decision branch, the performance of the circuit breaker can be comprehensively evaluated, and the establishment of the lateral interaction channel allows the two decision branches to influence each other and improve the accuracy of the decision.

[0044] In summary, the installation quality testing method of the compact grounding circuit breaker provided in this application has the following technical effects: By calling the circuit breaker operation record, combined with the quality standard, the installation test point is mined, wherein the installation test point meets the fault probability threshold and is marked with an abnormal frequency component; traverse the installation test point, configure the pre-test scenario, the pre-test scenario includes the ground fault class and the overload protection class, and the continuous test scenario is used as the test point configuration requirement; the target circuit breaker is simulated for installation circuit loop, and the operation simulation based on the pre-test scenario is performed to determine the scenario simulation data; the quality analysis module is constructed, wherein the quality analysis module includes a front feature transformation unit, and a static decision branch and a dynamic decision branch based on the twin network principle connected to the back; the scenario simulation data is transmitted to the quality analysis module, and the abnormal frequency component identification and feature vector dimension transformation are performed, and the scenario quality assessment is performed by combining static and dynamic, and the scenario test results are determined; the scenario test results are integrated and a test single column is generated, and a weighted calculation is performed based on the scenario frequency to determine the quality test coefficient; the test single column and the quality test coefficient are visualized on the terminal display interface. In other words, by mining the installation test points that meet the fault probability threshold, executing the scenario operation simulation, and conducting a comprehensive test on the circuit breaker, the efficiency and accuracy of the test are improved.

[0045] Embodiment 2: Based on the same inventive concept as the installation quality testing method of the compact grounding circuit breaker in the aforementioned embodiment, the present application also provides an installation quality testing system for the compact grounding circuit breaker. Figure 2 , the installation quality test system of the compact grounding circuit breaker includes: The operation record calling module 11 is used to call the circuit breaker operation record, and mine the installation test points in combination with the quality standard, wherein the installation test points meet the fault probability threshold and are marked with abnormal frequency components.

[0046] The test point mining module 12 is used to traverse the installation test points and configure pre-test scenarios, wherein the pre-test scenarios include ground fault and overload protection categories, and the continuous test scenarios are used as the test point configuration requirements.

[0047] The circuit loop simulation module 13 is used to simulate the installation circuit loop of the target circuit breaker, perform operation simulation based on the pre-test scenario, and determine scenario simulation data.

[0048] The data analysis module 14 is used to construct a quality analysis module, wherein the quality analysis module includes a front feature transformation unit, and a rear-connected static decision branch and a dynamic decision branch constructed based on the twin network principle.

[0049] The scene evaluation module 15 is used to transmit the scene simulation data to the quality analysis module, perform abnormal frequency component identification and feature vector dimension transformation, conduct scene quality evaluation by combining dynamic and static methods, and determine the scene test results.

[0050] The weighted calculation module 16 is used to integrate the scenario test results and generate a test list, perform weighted calculation based on scenario frequency, and determine the quality test coefficient.

[0051] The interface visualization module 17 is used to visualize the test list and the quality test coefficient on a terminal display interface.

[0052] Furthermore, the installation quality test system of the compact grounding circuit breaker further comprises a test single-row module for: Interacting the redundant structure of the target circuit breaker, wherein the redundant structure includes installation circuit redundancy and circuit breaker structure redundancy; identifying the redundant structure and determining redundant protection logic; based on the redundant protection logic, performing redundant fault tolerance analysis of scenario testing and determining redundant test features; and adding the redundant test features into the test list.

[0053] Furthermore, the circuit loop simulation module 13 in the installation quality test system of the compact grounding circuit breaker is also used for: Determine a first pre-test scenario and set time zone scenario data, wherein the time zone scenario data includes a plurality of scenario nodes based on continuous scenario variables; perform operation simulation and scenario adjustment management based on the time zone scenario data to determine first scenario simulation data.

[0054] Furthermore, the data analysis module 14 in the installation quality test system of the compact grounding circuit breaker is also used for: Determine a feature transformation standard, wherein the feature transformation standard is determined based on a multi-dimensional and multi-scale combination; perform unit domain division based on the feature transformation standard, determine the unit structure and perform data-driven training to determine multiple feature transformation areas; integrate the multiple feature transformation areas, perform independent calculation domain configuration, and determine the feature transformation unit, wherein the multiple feature transformation areas are selectively triggered.

[0055] Furthermore, the scenario assessment module 15 in the installation quality test system of the compact grounding circuit breaker is also used for: The first scenario simulation data is transmitted to the feature transformation unit, abnormal frequency components are identified and the dimensional transformation layer is triggered to perform dimensional transformation processing to determine the first valid feature vector; the first valid feature vector is identified, feature vector segmentation and branch decision processing are performed based on the dynamic and static dimensions, and the first scenario test result is output.

[0056] Furthermore, the scenario assessment module 15 in the installation quality test system of the compact grounding circuit breaker is also used for: Match the first abnormal frequency component of the first pre-test scenario and set a first self-attention mechanism; identify the first scenario simulation data, and identify the abnormal frequency component based on the feature transformation unit guided by the first self-attention mechanism to determine the first feature vector; match the feature transformation area of ​​the first feature vector, perform feature vector compression and dimensionality reduction, and determine the first effective feature vector, wherein the effective feature vector corresponds one-to-one to the multiple scene nodes.

[0057] Furthermore, the scenario assessment module 15 in the installation quality test system of the compact grounding circuit breaker is also used for: The first valid feature vector is segmented to determine a node feature vector and a continuous feature vector; the node feature vector is transferred to the static decision branch, and a first static detection result is determined with the feature state as the detection and judgment target; the continuous feature vector is transferred to the dynamic decision branch, and a first dynamic detection result is determined with the feature trend as the detection and judgment target, wherein a lateral interaction channel is established between the static decision branch and the dynamic decision branch; the first static detection result and the first dynamic detection result are integrated to determine the first scenario test result.

[0058] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The installation quality test method and specific examples of the compact grounding circuit breaker in the first embodiment are also applicable to the installation quality test system of the compact grounding circuit breaker in this embodiment. Through the detailed description of the installation quality test method of the compact grounding circuit breaker, those skilled in the art can clearly know the installation quality test system of the compact grounding circuit breaker in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0059] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0060] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A method for testing the installation quality of a compact grounding circuit breaker, characterized in that: include: Calling the circuit breaker operation record, combined with the quality standard, to mine the installation test points, wherein the installation test points meet the failure probability threshold and are marked with abnormal frequency components; Traverse the installation test points and configure pre-test scenarios, wherein the pre-test scenarios include ground fault and overload protection, and use continuous test scenarios as test point configuration requirements; Performing installation circuit loop simulation on the target circuit breaker, executing operation simulation based on the pre-test scenario, and determining scenario simulation data; Constructing a quality analysis module, wherein the quality analysis module comprises a front feature transformation unit, and a rear-connected static decision branch and a dynamic decision branch constructed based on the twin network principle; The scene simulation data is transmitted to the quality analysis module, abnormal frequency component identification and feature vector dimension transformation are performed, and the scene quality assessment is performed by combining dynamic and static methods to determine the scene test results; Integrate the scenario test results and generate a test column, perform weighted calculation based on scenario frequency, and determine the quality test coefficient; The test single column and the quality test coefficient are visualized on a terminal display interface.

2. The installation quality testing method of a compact grounding circuit breaker according to claim 1, characterized in that: The method further comprises: Interchanging the redundant structure of the target circuit breaker, wherein the redundant structure includes installation circuit redundancy and circuit breaker structure redundancy; Identifying the redundant structure and determining redundant protection logic; Based on the redundant protection logic, perform redundant fault tolerance analysis of scenario testing to determine redundant test characteristics; The redundant test feature is added to the test list.

3. The installation quality testing method of a compact grounding circuit breaker according to claim 1, characterized in that: Executing a running simulation based on the pre-test scenario to determine scenario simulation data includes: Determine a first pre-test scenario, and set time zone scenario data, wherein the time zone scenario data includes a plurality of scenario nodes based on continuous scenario variables; Based on the time zone scenario data, operation simulation and scenario adjustment management are performed to determine first scenario simulation data.

4. The installation quality testing method of a compact grounding circuit breaker according to claim 1, characterized in that: The quality analysis module includes a front feature transformation unit, including: Determining a feature transformation standard, wherein the feature transformation standard is determined based on a multi-dimensional and multi-scale combination; Based on the feature transformation standard, unit division is performed, unit structure is determined, and data-driven training is performed to determine multiple feature transformation regions; The plurality of feature transformation areas are integrated and combined, and independent calculation domain configuration is performed to determine the feature transformation unit, wherein the plurality of feature transformation areas are selectively triggered.

5. The installation quality testing method of a compact grounding circuit breaker according to claim 3, characterized in that: The execution of abnormal frequency component identification and feature vector dimension transformation, dynamic and static combination of scene quality assessment, and determination of scene test results include: The first scene simulation data is transmitted to the feature conversion unit to identify abnormal frequency components and trigger the dimension conversion layer to perform dimension conversion processing to determine a first effective feature vector; Identify the first valid feature vector, perform feature vector segmentation and branch decision processing based on the dynamic and static dimensions, and output the first scenario test result.

6. The installation quality testing method of a compact grounding circuit breaker according to claim 5, characterized in that: The abnormal frequency component identification and triggering the dimension transformation layer to perform dimension transformation processing include: Matching a first abnormal frequency component of the first pre-test scenario, and setting a first self-attention mechanism; Identify the first scene simulation data, and identify abnormal frequency components based on the feature transformation unit guided by the first self-attention mechanism to determine a first feature vector; The first feature vector is matched with a feature transformation area, and feature vector compression and dimensionality reduction are performed to determine the first effective feature vector, wherein the effective feature vector corresponds one-to-one to the plurality of scene nodes.

7. The installation quality testing method of a compact grounding circuit breaker according to claim 5, characterized in that: The feature variable segmentation and branch decision processing based on the dynamic and static dimensions include: Segmenting the first valid feature vector to determine a node feature vector and a continuous feature vector; Transferring the node feature vector to the static decision branch, determining a first static detection result for the feature state as a detection determination target; The continuous feature vector is transferred to the motion decision branch, and the feature trend is used as the detection and judgment target to determine the first motion detection result, wherein the static decision branch and the motion decision branch establish a lateral interaction channel; The first static detection result and the first dynamic detection result are integrated to determine the first scene test result.

8. A compact grounding circuit breaker installation quality test system, characterized in that: The steps for implementing the installation quality testing method of the compact grounding circuit breaker according to any one of claims 1 to 7, the installation quality testing system of the compact grounding circuit breaker comprises: An operation record calling module, the operation record calling module is used to call the circuit breaker operation record, and mine the installation test points in combination with the quality standard, wherein the installation test points meet the fault probability threshold and are marked with abnormal frequency components; A test point mining module, the test point mining module is used to traverse the installation test points and configure pre-test scenarios, the pre-test scenarios include ground fault and overload protection, and take continuous test scenarios as test point configuration requirements; A circuit loop simulation module, the circuit loop simulation module is used to simulate the installation circuit loop of the target circuit breaker, perform operation simulation based on the pre-test scenario, and determine scenario simulation data; A data analysis module, wherein the data analysis module is used to construct a quality analysis module, wherein the quality analysis module comprises a front feature transformation unit, and a rear-connected static decision branch and a dynamic decision branch constructed based on the twin network principle; A scene evaluation module, which is used to transmit the scene simulation data to the quality analysis module, perform abnormal frequency component identification and feature vector dimension transformation, perform scene quality evaluation by combining dynamic and static methods, and determine scene test results; A weighted calculation module, which is used to integrate the scenario test results and generate a test list, perform weighted calculation based on the scenario frequency, and determine the quality test coefficient; An interface visualization module is used to visualize the test column and the quality test coefficient on a terminal display interface.

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