A circuit breaker contact wear degree intelligent evaluation system

Abstract

The application discloses a kind of circuit breaker contact wear degree intelligent evaluation system, belongs to circuit breaker contact wear evaluation technical field, including camera, data collector, server and display, server includes circuit breaker type analysis module, signal processing module, wear evaluation module, wear prediction module, health monitoring module, and circuit breaker type analysis module, signal processing module, wear evaluation module, wear prediction module, health monitoring module are sequentially connected in communication;Display includes data display module;The application can intelligently evaluate the wear degree of circuit breaker contact, and also has the functions of wear degree prediction, residual use frequency calculation, wear frequency early warning, so that the maintenance management efficiency of circuit breaker can be greatly improved, and the equipment failure risk is reduced.

Description

Technical Field

[0001] This invention belongs to the field of circuit breaker contact wear detection technology, specifically relating to an intelligent assessment system for the degree of circuit breaker contact wear. Background Technology

[0002] In modern power systems, circuit breakers play a crucial role. Their primary function is to rapidly interrupt current when a power system fault occurs, protecting the system from overloads and short circuits. One of the core components of a circuit breaker is its contacts, which are responsible for carrying and interrupting current when the circuit breaker operates. With frequent operation and prolonged use, the contacts inevitably wear down, directly affecting the circuit breaker's performance and reliability.

[0003] Traditional methods for assessing circuit breaker contact wear rely on regular manual inspections and maintenance. This method has several significant limitations. First, manual inspections typically only provide qualitative assessments, making it difficult to accurately quantify the degree of contact wear. Second, differences in experience and subjective judgment among operators can lead to inconsistent assessments of contact wear, lacking a unified standard. Furthermore, this method cannot accurately predict contact wear caused by each switching operation of the circuit breaker, nor does it provide an early warning function regarding the remaining number of circuit breaker cycles. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent assessment system for the wear degree of circuit breaker contacts, which addresses the shortcomings of the prior art. This system solves the problem that the existing technology can only rely on manual qualitative judgment, which cannot accurately determine the wear degree of contacts. Therefore, the present invention proposes an intelligent assessment system for the wear degree of circuit breaker contacts, which not only makes the assessment of the wear degree of circuit breaker contacts simpler and more convenient, but also makes the judgment of the wear degree of circuit breaker more accurate.

[0005] The present invention adopts the following technical solution:

[0006] A smart assessment system for the wear degree of circuit breaker contacts includes:

[0007] The camera is connected to the server via a data acquisition device. The server includes a circuit breaker type analysis module, a signal processing module, a wear assessment module, a wear prediction module, and a health monitoring module, which are connected in sequence.

[0008] The circuit breaker type analysis module is used to receive and process the appearance image data of the circuit breaker captured by the camera, analyze the characteristics such as shape, color and markings, and determine the type of circuit breaker.

[0009] The signal processing module processes and filters the acquired data, removing noise and extracting valid data;

[0010] The wear assessment module analyzes the resistance data from known valid data and compares the resistance data with standard values ​​to classify the wear level.

[0011] The wear prediction module uses a cumulative algorithm to model the wear process. It also establishes a prediction model based on load changes, switching frequency, and other external conditions. The prediction model predicts the wear acceleration under specific conditions. Finally, it predicts the operating parameters and conditions and calculates the predicted wear degree.

[0012] The health monitoring module establishes a health standard P for the wear degree of the circuit breaker, judges the health status of the circuit breaker, and combines the predicted load Lf, switching count Nf, operating frequency Ff, environmental conditions Cf and the global wear formula to convert the health standard value P into the number of switching counts, calculates the remaining number of switching counts and issues an early warning.

[0013] Preferably, the processing procedure of the circuit breaker type analysis module is as follows:

[0014] The captured images are initially processed, including noise reduction, brightness and contrast adjustment, edge detection algorithm is used to extract the outline of the circuit breaker, and basic shape features such as surface area and perimeter are calculated based on its outline.

[0015] The extracted contours are compared with the contour templates of known circuit breakers to determine the type. At the same time, the image is converted from RGB space to HSV or LAB color space, color features are analyzed, the color histogram of the image is calculated, and color features related to the brand and type of circuit breaker are identified.

[0016] Identify the markings on the circuit breaker and perform text extraction and analysis;

[0017] Collect sample data of circuit breaker types and label the sample data;

[0018] By training a deep learning model using sample data, the identification capability of circuit breaker type analysis is improved. Finally, by comparing the extracted features with the features in the database, the specific type of circuit breaker is identified.

[0019] Based on the matching results, the type of circuit breaker is determined, and the judgment result is output, which includes the type of circuit breaker and related parameters.

[0020] Preferably, the label includes the model number, brand, and warning information.

[0021] Preferably, the processing procedure of the wear assessment module is as follows:

[0022] Based on the determined circuit breaker type, set the standard resistance range R1. When the resistance value is lower than the minimum value of the standard range R1, it indicates low wear. When the resistance value is within the standard range R1, it indicates medium wear. When the resistance value exceeds the maximum value of the standard range R1, it indicates high wear.

[0023] Store the established resistance value standard range, and when evaluating the same type of circuit breaker a second time, directly use the pre-established standard value range;

[0024] The collected resistance values ​​are compared with the set standard range to determine the degree of wear of the circuit breaker.

[0025] Preferably, the processing procedure of the wear prediction module is as follows:

[0026] Receive data from the data acquisition module to obtain the resistance value in the unworn state as a reference resistor. And establish a specific mathematical relationship between resistance value and wear amount;

[0027] Based on the existing data, a nonlinear regression model is used to fit the relationship between resistance change and wear.

[0028] Extract the resistance value R1 from the latest measured data and calculate the wear amount W2;

[0029] The system receives data on the number of circuit breaker switching operations collected by the data acquisition unit, calculates the wear amount W1 for the first switch, W2 for the second switch, and W3 for the third switch, obtains the total wear for the nth switch, inputs the predicted operating parameters and conditions, predicts the degree of wear, and outputs the calculated data.

[0030] Preferably, the total wear of the nth switch is as follows:

[0031] Wn= f(Li,Fi,Ci)=W1+ΔW2+ΔW3+…+ΔWn;

[0032] Where Li, Fi, and Ci represent the load, frequency, and environmental conditions of the i-th switch, respectively, and ΔWn represents the wear amount.

[0033] Preferably, the wear amount ΔWn is:

[0034] ΔWn=k⋅Ln⋅Fn⋅Cn

[0035] Where k is an empirical coefficient.

[0036] Preferably, the processing procedure of the health monitoring module is as follows:

[0037] A health standard P for the wear level of circuit breakers is established based on the type of circuit breaker. When the wear value of a circuit breaker exceeds the health standard P, it indicates that the circuit breaker is in low health and cannot be used.

[0038] When the circuit breaker value is within the health standard P, it indicates that the circuit breaker is in a medium health condition and can be used.

[0039] When the wear value of the circuit breaker is lower than the health standard P, it indicates that the circuit breaker is in high health and can be used normally.

[0040] The health status standard value is combined with the predicted load Lf, switching count Nf, operating frequency Ff, environmental conditions Cf, and global wear formula to convert it into switching count;

[0041] Calculate the difference between the known number of switching cycles of the circuit breaker under the health standard and the number of switching cycles of the circuit breakers with medium and high health levels. Obtain the remaining number of switching cycles for the circuit breakers with medium and high health levels. Set an early warning based on the remaining number of switching cycles. When the circuit breaker with medium and high health levels has only three switching cycles left, trigger the early warning and send an early warning message to the operator to remind the staff to pay attention to the status of the circuit breaker and replace the circuit breaker.

[0042] Preferably, the health monitoring module is connected to a display, which shows the test results, wear assessment, and historical data trend warning information, while also providing operators with data retrieval, data viewing, and data setting functions.

[0043] Preferably, the display includes:

[0044] The data display module is used to receive data from the data collector and display real-time detection results, wear assessment and health status. It also has an interface that allows operators to retrieve specified data.

[0045] When an early warning message is received, the data display module interface will display the warning message and provide relevant suggestions and operation instructions;

[0046] The data display module's interface settings have user permissions.

[0047] Compared with the prior art, the present invention has at least the following beneficial effects:

[0048] A smart system for assessing the wear level of circuit breaker contacts, through a circuit breaker type analysis module, processes collected circuit breaker images and automatically analyzes the circuit breaker type. This method effectively reduces manual intervention, avoids errors caused by manual intervention, and improves automation and operational efficiency. The wear assessment module can preset a standard range of resistance values ​​based on the circuit breaker type and quickly determine the wear level of the circuit breaker based on this standard range, allowing operators to quickly understand the wear status of the circuit breaker. The wear prediction module can calculate accurate single-time wear data based on initial, secondary, and tertiary wear data. Since secondary wear data is based on initial wear data, and tertiary wear data is based on secondary wear data, there will be certain differences between the secondary wear data and the initial wear data, as well as between the tertiary wear data and the secondary wear data. Using single-time wear data directly without obtaining this difference will result in inaccurate wear data. Accuracy is key; therefore, establishing a global wear formula by studying data differences can yield more accurate wear data. Furthermore, combining the global wear formula with predicted data can provide predicted wear data. By setting up a health monitoring module, the health status of the circuit breaker can be determined, and monitoring warnings can be issued based on the monitoring data. This module first establishes health standards based on the circuit breaker type, then converts the circuit breaker's wear data and predicted data into available switching counts, and finally obtains the difference between the remaining available counts. When only three counts remain, a warning will be issued, prompting operators to observe the circuit breaker's status and replace it promptly. This effectively improves the circuit breaker's fault warning function and prevents equipment damage caused by sudden circuit breaker failures. The system is highly automated, eliminating the need for manual inspections to determine the circuit breaker's wear level. It automatically determines the circuit breaker type, assesses the wear level, accurately predicts wear values, and provides warnings about the available counts, making circuit breaker wear assessment simpler and more convenient.

[0049] Furthermore, the circuit breaker type analysis module processes the circuit breaker appearance image data captured by the camera, analyzes features such as shape, color, and markings to determine the circuit breaker type, and can achieve efficient and accurate circuit breaker identification. This module can quickly classify a large number of circuit breakers, providing strong support for subsequent maintenance, management, and troubleshooting.

[0050] Furthermore, the wear assessment module, by setting the resistance standard value range according to the circuit breaker type, can provide a clear and scientific basis for judging the wear degree of the circuit breaker, avoiding the inaccuracy of subjective judgment. In addition, by setting and storing the standard range, it is convenient to conduct rapid assessments in the future. For secondary assessments of the same type of circuit breaker, the pre-set standard value range can be used directly, thereby greatly improving the assessment efficiency.

[0051] Furthermore, the wear prediction module can obtain accurate wear data. Since the wear data is accumulated, each wear data is different. Therefore, by calculating the difference in the amount of wear per instance and combining it with the global wear formula, more accurate wear prediction data can be obtained.

[0052] Furthermore, the health monitoring module can automatically determine the health status of the circuit breaker and classify the health level according to the health status. When the wear value of the circuit breaker exceeds the health standard P, it means that the health status of the circuit breaker is low and it cannot be used. When the wear value of the circuit breaker is at or below the health standard P, it means that the circuit breaker can still be used and will obtain the data of the remaining number of uses. When there are only three uses left, an early warning will be triggered to remind the staff.

[0053] In summary, this invention can intelligently assess the wear level of circuit breaker contacts, and also has the functions of wear level prediction, remaining service life calculation, and wear count warning. This can greatly improve the maintenance and management efficiency of circuit breakers and reduce the risk of equipment failure.

[0054] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0055] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the following description of the relative embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0056] Figure 1 This is a system block diagram of the present invention. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "one side," "one end," and "one side," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0059] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0060] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0061] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0062] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0063] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0064] This invention provides an intelligent assessment system for the wear degree of circuit breaker contacts, comprising a camera, a data acquisition unit, a server, and a display connected in sequence. This invention can intelligently assess the wear degree of circuit breaker contacts, and also has the functions of wear degree prediction, remaining service life calculation, and wear count warning. This can greatly improve the maintenance and management efficiency of circuit breakers and reduce the risk of equipment failure.

[0065] Please see Figure 1 This invention discloses an intelligent assessment system for the wear degree of circuit breaker contacts, comprising a camera, a data acquisition unit, a server, and a display. The server includes a circuit breaker type analysis module, a signal processing module, a wear assessment module, a wear prediction module, and a health monitoring module, which are sequentially and communicatively connected. The camera is communicatively connected to the circuit breaker type analysis module of the server via the data acquisition unit. The display includes a data display module, which is communicatively connected to the health monitoring module of the server.

[0066] The circuit breaker type analysis module is used to receive and process the appearance image data of the circuit breaker captured by the camera, analyze its shape, color, and markings, and determine the type of circuit breaker.

[0067] In this embodiment, the circuit breaker type analysis module is used to receive circuit breaker appearance image data captured by the camera, process it, analyze features such as shape, color, and markings, and determine the circuit breaker type. The processing procedure is as follows:

[0068] The captured images are initially processed, including noise reduction, brightness and contrast adjustment, edge detection algorithm is used to extract the outline of the circuit breaker, and basic shape features such as surface area and perimeter are calculated based on its outline.

[0069] The extracted contours are compared with the contour templates of known circuit breakers to determine the type. At the same time, the image is converted from RGB space to HSV or LAB color space, color features are analyzed, the color histogram of the image is calculated, and color features related to the brand and type of circuit breaker are identified.

[0070] Identify markings on circuit breakers, such as model, brand, and warning messages, and perform text extraction and analysis;

[0071] Collect sample data of circuit breaker types and label the sample data;

[0072] By training a deep learning model using sample data, the identification capability of circuit breaker type analysis is improved. Finally, by comparing the extracted features with the features in the database, the specific type of circuit breaker is identified.

[0073] Based on the matching results, determine the type of circuit breaker and output the judgment result, including the type of circuit breaker and related parameters.

[0074] It should be noted that the circuit breaker type includes air circuit breakers, oil circuit breakers, and plastic circuit breakers. The wear degree of a circuit breaker is not only related to the operating frequency, but also to its design structure and the material of the contact head. Different contact head materials have different wear resistance, which will cause different wear differences.

[0075] The signal processing module processes and filters the acquired data, removing noise and extracting valid data.

[0076] The wear assessment module analyzes the resistance data from known valid data and compares the resistance data with the standard value range to classify the wear level.

[0077] In this embodiment, the wear assessment module analyzes the resistance data from the known valid data and compares the resistance data with the standard value range to classify the wear level as follows:

[0078] Based on the determined circuit breaker type, set the standard resistance range R1. When the resistance value is lower than the minimum value of the standard range R1, it indicates low wear. When the resistance value is within the standard range R1, it indicates medium wear. When the resistance value exceeds the maximum value of the standard range R1, it indicates high wear.

[0079] Store the established resistance value standard range, and when evaluating the same type of circuit breaker a second time, directly use the pre-established standard value range;

[0080] The collected resistance values ​​are compared with the set standard value range to determine the degree of wear of the circuit breaker.

[0081] It should be noted that by preset the standard value range of the resistance, the wear level of the circuit breaker can be quickly classified. At the same time, based on the wear level of the equipment, the equipment with more severe wear can be prioritized for treatment, thereby optimizing the maintenance cycle and improving resource utilization efficiency.

[0082] The wear prediction module uses a cumulative algorithm to model the wear process. It also builds a model based on load changes, switching frequency and other external conditions to predict wear acceleration under specific conditions. Finally, it predicts operating parameters and conditions and calculates the predicted wear degree.

[0083] In this embodiment, the wear prediction module uses a cumulative algorithm to model the wear process. It also builds a model based on load changes, switching frequency, and other external conditions to predict accelerated wear under specific conditions. Finally, it predicts operating parameters and conditions and calculates the predicted wear level. The processing steps are as follows:

[0084] Receive data from the data acquisition module to obtain the resistance value in the unworn state as a reference resistor. And establish a specific mathematical relationship between resistance value and wear amount;

[0085] Based on the existing data, a nonlinear regression model is used to fit the relationship between resistance change and wear amount. The specific formula is as follows:

[0086] ;

[0087] in, These are coefficients obtained through fitting;

[0088] Extract the resistance value R1 from the latest measured data and calculate the wear amount using the following formula:

[0089] W2=f(R21);

[0090] Where W2 is the calculated wear amount;

[0091] The system receives data on the number of circuit breaker switching operations collected by the data acquisition unit, and calculates the wear amount W1 for the first switching, W2 for the second switching, and W3 for the third switching. Based on the wear amount, the following formula is obtained:

[0092] W2 = W1 + ΔW2;

[0093] W3 = W2 + ΔW3;

[0094] Wherein, ΔW2 and ΔW3 represent the additional wear during secondary and tertiary switching, respectively;

[0095] Establish a wear prediction formula, the formula for initial wear is:

[0096] W1=f(L1,F1,C1);

[0097] Where L1 is the load of the first switch, F1 is the frequency of the first switch, and C1 is the environmental condition influencing factor;

[0098] The formula for secondary switch wear is:

[0099] W2 = W1 + f(L2,F2,C2) = W1 + ΔW2;

[0100] Wherein, L2, F2, and C2 are the load, frequency, and environmental conditions of the secondary switch, respectively;

[0101] The formula for wear of a three-stage switch is:

[0102] W3=W2+f(L3,F3,C3)=W1+ΔW2+ΔW3;

[0103] Wear is defined as:

[0104] ΔWn=k⋅Ln⋅Fn⋅Cn;

[0105] Where k is an empirical coefficient;

[0106] The global wear formula is derived as follows:

[0107] Wn= f(Li,Fi,Ci)=W1+ΔW2+ΔW3+…+ΔWn;

[0108] Where Wn represents the total wear of the nth switch;

[0109] Input the predicted operating parameters and conditions, predict the degree of wear, and output the calculated data.

[0110] It should be noted that the wear data for each circuit breaker varies. The wear during secondary switching is based on the initial wear; therefore, the wear during secondary switching is the wear value of the initial switching plus the change in secondary wear. Similarly, the wear during tertiary switching is the wear value of the secondary switching plus the change in tertiary wear. This cumulative analysis method utilizes the continuity of historical data, allowing the wear amount for each switch to more accurately reflect the current state based on the previous data, further improving the effectiveness of prediction.

[0111] In this embodiment, the predicted operating parameters and conditions are input, and the process for predicting the degree of wear is as follows:

[0112] Based on the equipment's work schedule and historical data, a predictive model is established to estimate future load Lf, switching frequency Nf, operating frequency Ff, and environmental conditions Cf.

[0113] Input the predicted operating parameters and conditions into the global wear formula to calculate the predicted wear level.

[0114] The health monitoring module establishes a health standard P for the wear degree of the circuit breaker, judges the health status of the circuit breaker, and converts the health standard value P into the number of switching times by combining the predicted load Lf, switching times Nf, operating frequency Ff, environmental conditions Cf and the global wear formula, calculates the remaining switching times, and issues an early warning.

[0115] In this embodiment, the health monitoring module establishes a health standard P for the wear degree of the circuit breaker, judges the health status of the circuit breaker, and combines the predicted load Lf, switching count Nf, operating frequency Ff, environmental conditions Cf, and the global wear formula to convert the health standard value P into the number of switching counts, calculates the remaining switching counts, and performs an early warning process as follows:

[0116] A health standard P for the wear level of circuit breakers is established based on the type of circuit breaker. When the wear value of a circuit breaker exceeds the health standard P, it indicates that the circuit breaker is in low health and cannot be used, and needs to be replaced in time. When the wear value of a circuit breaker is within the health standard P, it indicates that the circuit breaker is in medium health and can still be used, but the number of times it is used needs to be noted. When the wear value of a circuit breaker is below the health standard P, it indicates that the circuit breaker is in high health and can be used normally.

[0117] The health status standard value is combined with the predicted load Lf, switching count Nf, operating frequency Ff, environmental conditions Cf, and global wear formula to convert it into switching count;

[0118] Calculate the difference between the known number of switching cycles of the circuit breaker under the health standard and the number of switching cycles of the circuit breakers with medium and high health levels. Obtain the remaining number of switching cycles for the circuit breakers with medium and high health levels. Set an early warning based on the remaining number of switching cycles. When the circuit breaker with medium and high health levels has only three switching cycles left, trigger the early warning and send an early warning message to the operator to remind the staff to pay attention to the status of the circuit breaker and replace the circuit breaker.

[0119] It should be noted that by calculating the remaining number of circuit breakers at different health levels and setting early warnings, operators can understand the operating status of the circuit breakers in advance so as to take timely countermeasures.

[0120] When the number of switching cycles of circuit breakers with moderate or high health levels approaches the warning threshold, issuing a warning message can alert staff to pay attention and prevent equipment damage caused by sudden circuit breaker failures. This effectively improves the stability and reliability of the power system. In addition, issuing warnings based on the remaining number of cycles also helps staff to rationally plan equipment maintenance and replacement schedules, avoiding unnecessary premature replacements that would waste resources or greater losses due to delayed replacements. This measure enables refined management of circuit breakers and improves equipment lifespan and efficiency.

[0121] The data display module is used to display information such as test results, wear assessment, and historical data trend warnings. It also provides operators with functions for data retrieval, data viewing, and data settings.

[0122] In this embodiment, the data display module is used to display information such as detection results, wear assessment, and historical data trend warnings. It also provides operators with functions for data retrieval, viewing, and setting. The processing procedure is as follows:

[0123] The data display module receives data from the data collector and can display real-time detection results, wear assessment, and health status. It also has an interface that allows operators to retrieve specified data.

[0124] When an early warning message is received, the data display module interface will display the warning message and provide relevant suggestions and operation instructions;

[0125] The data display module's interface settings have user permissions; only authorized personnel can perform data settings and critical operations.

[0126] It should be noted that the data display module can not only effectively display the circuit breaker's test results and wear assessment, but also provide operators with convenient data viewing and setting functions, improving operational efficiency and the scientific nature of equipment management, and making it easier for operators to view specific data information.

[0127] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0128] Simulation Experiment

[0129] S1, Data Acquisition

[0130] Use a camera to capture images of the appearance of different types of circuit breakers, and use a data acquisition device to obtain the operating data of the circuit breakers (such as resistance data).

[0131] S2, Circuit Breaker Type Analysis

[0132] The circuit breaker type is identified using the circuit breaker type analysis module.

[0133] S3, Signal Processing

[0134] The collected data is processed and filtered to remove noise.

[0135] S4 Wear Assessment

[0136] Wear assessment is performed based on the processed data and compared with standard values.

[0137] S5, Wear Prediction

[0138] The wear process is modeled using a cumulative algorithm, and a predictive model is built based on load changes, switching frequency, and other factors.

[0139] S6, Health Monitoring

[0140] Based on the prediction results and health standard P, determine the health status of the circuit breaker and calculate the remaining number of switching cycles.

[0141] Through simulation experiments, the intelligent evaluation system can accurately identify circuit breaker types and perform wear assessment based on valid data. The wear prediction module can predict wear acceleration based on historical data and external conditions, thereby predicting operating parameters and conditions and calculating the predicted wear degree. The health monitoring module can determine the health status of the circuit breaker according to the set health standard P, calculate the remaining switching cycles, and realize the early warning function.

[0142] The intelligent evaluation system of this invention automatically acquires data through cameras and data collectors, reducing manual intervention; it uses machine learning algorithms and cumulative algorithms to model the wear process, improving the accuracy of evaluation and prediction; it can monitor the operating status of circuit breakers in real time and provide timely warnings of potential problems; it can be customized according to different circuit breaker types and operating conditions, and has demonstrated high accuracy and real-time performance in simulation experiments, effectively evaluating the wear degree of circuit breaker contacts and predicting their remaining service life.

[0143] In summary, this invention provides an intelligent assessment system for the wear degree of circuit breaker contacts, enabling precise quantification of the wear degree of circuit breaker contacts, thereby improving the operating efficiency and safety of power systems. Furthermore, this invention also has the function of predicting the remaining service life of circuit breakers, helping power companies to develop more scientific and reasonable maintenance plans and reduce operating costs.

[0144] The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made to the technical solution based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.

Claims

1. An intelligent assessment system for the wear degree of circuit breaker contacts, characterized in that, include: The camera is connected to the server via a data acquisition unit. The server includes a circuit breaker type analysis module, a signal processing module, a wear assessment module, a wear prediction module, and a health monitoring module connected in sequence. The data acquisition unit acquires the resistance data of the circuit breaker. The circuit breaker type analysis module receives and processes image data of the circuit breaker's appearance captured by a camera, analyzing its shape, color, and marking features to determine the circuit breaker type. The processing procedure is as follows: The captured images are initially processed, including noise reduction, brightness and contrast adjustment, edge detection algorithm is used to extract the outline of the circuit breaker, and the area and perimeter features are calculated based on its outline. The extracted contours are compared with the contour templates of known circuit breakers to determine the type. At the same time, the image is converted from RGB space to HSV or LAB color space, color features are analyzed, the color histogram of the image is calculated, and color features related to the brand and type of circuit breaker are identified. Identify the markings on the circuit breaker and perform text extraction and analysis; Collect sample data of circuit breaker types and label the sample data; By training a deep learning model using sample data, the identification capability of circuit breaker type analysis is improved. Finally, by comparing the extracted features with the features in the database, the specific type of circuit breaker is identified. Based on the matching results, determine the type of circuit breaker and output the judgment result, which includes the type of circuit breaker and related parameters; The signal processing module processes and filters the acquired resistance data to remove noise and extract valid data. The wear assessment module analyzes the resistance data from the valid data and compares the resistance data with standard values ​​to classify the wear level; The wear prediction module uses a cumulative algorithm to model the wear process. It also establishes a prediction model based on load changes, switching frequency, and environmental conditions. This model predicts wear acceleration under specific conditions. Finally, it predicts operating parameters and conditions, including load, frequency, and environmental conditions, and calculates the predicted wear level. The processing procedure of the wear prediction module is as follows: Receive data from the data acquisition unit and obtain the resistance value in the unworn state as a reference resistor. And establish a specific mathematical relationship between resistance value and wear amount; Based on the existing data, a nonlinear regression model was used to fit the relationship between resistance change and wear. Extract the resistance value R1 from the latest measured data and calculate the wear amount W2; Receive the circuit breaker switching count data collected by the data acquisition unit, calculate the wear amount W1 during the first switch, the wear amount W2 during the second switch, and the wear amount W3 during the third switch, obtain the total wear of the nth switch, input the predicted operating parameters and conditions, predict the degree of wear, and output the calculated data; The total wear Wn of the nth switch is calculated using the global wear formula, specifically as follows: Wn= f(Li,Fi,Ci)=W1+ΔW2+ΔW3+…+ΔWn; Where Li, Fi, and Ci are the load, frequency, and environmental conditions of the i-th switch, respectively, and ΔWn is the wear amount; The wear amount ΔWn is: ΔWn=k•Ln•Fn•Cn Where k is an empirical coefficient; The health monitoring module establishes a health standard P for the wear degree of the circuit breaker, judges the health status of the circuit breaker, and combines the predicted load Lf, switching count Nf, operating frequency Ff, environmental conditions Cf and the global wear formula to convert the health standard value P into the number of switching counts, calculates the remaining number of switching counts and issues an early warning.

2. The intelligent assessment system for the wear degree of circuit breaker contacts according to claim 1, characterized in that, The label includes the model number, brand, and warning information.

3. The intelligent assessment system for the wear degree of circuit breaker contacts according to claim 1, characterized in that, The processing procedure of the wear assessment module is as follows: Based on the determined circuit breaker type, set the standard resistance range R1. When the resistance value is lower than the minimum value of the standard range R1, it indicates low wear. When the resistance value is within the standard range R1, it indicates medium wear. When the resistance value exceeds the maximum value of the standard range R1, it indicates high wear. Store the established resistance value standard range, and when evaluating the same type of circuit breaker a second time, directly use the pre-established standard value range; The collected resistance values ​​are compared with the set standard range to determine the degree of wear of the circuit breaker.

4. The intelligent assessment system for the wear degree of circuit breaker contacts according to claim 1, characterized in that, The processing procedure of the health monitoring module is as follows: A health standard P for the wear level of circuit breakers is established based on the type of circuit breaker. When the wear value of a circuit breaker exceeds the health standard P, it indicates that the circuit breaker is in low health and cannot be used. When the wear value of the circuit breaker is within the health standard P, it indicates that the circuit breaker is in a moderate health condition and can be used. When the wear value of the circuit breaker is lower than the health standard P, it indicates that the circuit breaker is in high health and can be used normally. The health status standard value is combined with the predicted load Lf, switching count Nf, operating frequency Ff, environmental conditions Cf, and global wear formula to convert it into switching count; Calculate the difference between the known number of switching cycles of the circuit breaker under health standard and the number of switching cycles of circuit breakers with medium and high health levels. Obtain the remaining number of switching cycles for circuit breakers with medium and high health levels. Set an early warning based on the remaining number of switching cycles. When the number of switching cycles of circuit breakers with medium and high health levels is only three, trigger the early warning and send an early warning message to the operator to remind the staff to pay attention to the status of the circuit breaker and replace the circuit breaker.

5. The intelligent assessment system for the wear degree of circuit breaker contacts according to claim 1, characterized in that, The health monitoring module is connected to a monitor, which displays the test results, wear assessment, historical data trend warnings, and provides operators with data retrieval, data viewing, and data setting functions.

6. The intelligent assessment system for the wear degree of circuit breaker contacts according to claim 5, characterized in that, The display includes: The data display module is used to receive data from the data collector and display real-time detection results, wear assessment and health status. It also has an interface that allows operators to retrieve specified data. When an early warning message is received, the data display module interface will display the warning message and provide relevant suggestions and operation instructions.

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