Intelligent evaluation system for wear degree of circuit breaker contact

Abstract

The invention discloses a circuit breaker contact wear degree intelligent evaluation system, and belongs to the technical field of circuit breaker contact wear evaluation, the circuit breaker contact wear degree intelligent evaluation system comprises a camera, a data collector, a server and a display, the server comprises a circuit breaker type analysis module, a signal processing module, a wear evaluation module, a wear prediction module and a health monitoring module, the circuit breaker type analysis module, the signal processing module, the wear evaluation module, the wear prediction module and the health monitoring module are in communication connection in sequence; the display comprises a data display module; according to the invention, the wear degree of the contact head of the circuit breaker can be intelligently evaluated, and meanwhile, the system also has the functions of wear degree prediction, residual use frequency calculation and wear frequency early warning, so that the maintenance and management efficiency of the circuit breaker can be greatly improved, and the equipment fault risk is reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of circuit breaker contact wear detection, and in particular relates to an intelligent evaluation system for circuit breaker contact wear degree. Background Art

[0002] In modern power systems, circuit breakers play a vital role. Their main function is to quickly cut off the current when a fault occurs in the power system and protect the power system from faults such as overload and short circuit. One of the core components of the circuit breaker is the contact, which is responsible for carrying and cutting off the current when the circuit breaker is actuated. With the frequent operation and long-term operation of the circuit breaker, the contact will inevitably wear out, which directly affects the performance and reliability of the circuit breaker.

[0003] Traditional methods for assessing circuit breaker contact wear rely on regular manual inspections and maintenance. This method has some obvious limitations. First, manual inspections can usually only make qualitative judgments, and it is difficult to accurately quantify the degree of contact wear. Second, due to differences in experience and subjective judgment among different operators, the assessment results of contact wear are inconsistent and lack a unified standard. In addition, this method cannot accurately predict the contact wear caused by each switching operation of the circuit breaker, nor can it provide an early warning function for the remaining number of times the circuit breaker can be used. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent assessment system for the degree of contact wear of a circuit breaker in view of the deficiencies in the above-mentioned prior art, so as to solve the technical problem that the degree of contact wear cannot be accurately determined only through manual qualitative judgment. Therefore, an intelligent assessment system for the degree of contact wear of a circuit breaker is proposed, which can not only make the assessment of the degree of contact wear of the circuit breaker simpler and more convenient, but also make the judgment of the degree of wear of the circuit breaker more accurate.

[0005] The present invention adopts the following technical solutions: An intelligent evaluation system for circuit breaker contact wear degree, comprising: A camera, the camera is connected to a server via a data collector, and 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 circuit breaker type analysis module is used to receive the circuit breaker appearance image data taken by the camera, process it, analyze the shape, color, logo and other features, and determine the circuit breaker type; The signal processing module processes and filters the collected data to remove noise and extract valid data; The wear assessment module analyzes the resistance data in the known valid data and compares the resistance data with the standard value to classify the wear level; Wear prediction module, which uses a cumulative algorithm to model the wear process and establishes a prediction model based on load changes, switching frequency and other external conditions. The prediction model predicts the accelerated wear under specific conditions, and finally predicts the operating parameters and conditions and calculates the predicted wear degree. The health monitoring module sets up the circuit breaker wear health standard P to judge the health status of the circuit breaker, and converts the health standard value P into the number of switches based on the predicted load Lf, switching times Nf, operating frequency Ff, environmental conditions Cf and the global wear formula, calculates the remaining number of switches and issues an early warning.

[0006] Preferably, the processing process of the circuit breaker type analysis module is as follows: Perform preliminary processing on the captured images, including denoising, adjusting brightness and contrast, using edge detection algorithms to extract the outline of the circuit breaker, and calculating basic shape features such as surface area and perimeter based on its outline; Compare the extracted contour with the contour template of the known circuit breaker to determine the type, and convert the image from RGB space to HSV or LAB color space, analyze the color features, calculate the color histogram of the image, and identify the color features related to the brand and type of the circuit breaker; Identify the logo on the circuit breaker and perform text extraction and analysis; Collect sample data of circuit breaker types and mark the sample data; Use sample data to train the deep learning model to improve the recognition ability of circuit breaker type analysis. Finally, by comparing the extracted features with the features in the database, the specific type of circuit breaker can be identified. According to the matching result, the type of the circuit breaker is determined, and a determination result is output, which includes the type of the circuit breaker and related parameters.

[0007] Preferably, the identification includes model, brand and warning information.

[0008] Preferably, the processing of the wear assessment module is as follows: According to the determined circuit breaker type, the standard value range R1 of the resistance is set. When the resistance value is lower than the minimum value of the standard range R1, it indicates that the wear degree is low. When the resistance value is within the standard range R1, it indicates that the wear degree is medium. When the resistance value exceeds the maximum value of the standard range R1, it indicates that the wear degree is high. The established standard range of resistance values ​​is stored, and when evaluating the same type of circuit breaker for the second time, the pre-established standard range of values ​​is directly used; Compare the collected resistance value data with the set standard value range to determine the degree of wear of the circuit breaker.

[0009] Preferably, the processing process of the wear prediction module is as follows: Receive data from the data acquisition module and obtain the resistance value in the unworn state as the reference resistance , and establish a specific mathematical relationship between resistance value and wear amount; Based on the existing data, a nonlinear regression model is used to fit the relationship between resistance change and wear amount. Extract the resistance value R1 from the latest measured data and calculate the wear amount W2; Receive the circuit breaker switching times data collected by the data collector, and 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 to 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.

[0010] Preferably, the total wear of the n-th switch is specifically: Wn= f(Li,Fi,Ci)=W1+ΔW2+ΔW3+…+ΔWn; Where Li, Fi, Ci are the load, frequency and environmental conditions of the i-th switch, and ΔWn is the wear amount.

[0011] Preferably, the wear amount ΔWn is: ΔWn=k⋅Ln⋅Fn⋅Cn Where k is the empirical coefficient.

[0012] Preferably, the processing process of the health monitoring module is as follows: A health standard P for the wear degree of the circuit breaker is established according to the type of circuit breaker. When the wear value of the circuit breaker exceeds the health standard P, it means that the health degree of the circuit breaker is low and cannot be used; When the circuit breaker value belongs to the health standard P, it means that the circuit breaker is in medium health and can be used; When the circuit breaker wear value is lower than the health standard P, it means that the circuit breaker is in high health and can be used normally; The health level standard value is converted into the number of switching times by combining the predicted load Lf, switching times Nf, operating frequency Ff and environmental conditions Cf with the global wear formula; Calculate the difference between the known standard switching times of the circuit breaker and the existing switching times of the circuit breakers with medium health and high health, obtain the remaining times of the circuit breakers with medium health and high health, and set an early warning based on the remaining times. When the circuit breaker with medium health and high health has only three switching times left, trigger the early warning and send a warning message to the operator to remind the staff to pay attention to the status of the circuit breaker and replace the circuit breaker.

[0013] Preferably, the health monitoring module is connected to a display, which displays the test results, wear degree assessment, historical data trend warning information, and provides data retrieval, data viewing, and data setting functions for operators.

[0014] Preferably, the display comprises: The data display module is used to receive data from the data collector and display real-time test results, wear assessment and health status. It also has an interface so that operators can retrieve specified data; When receiving warning information, the interface of the data display module will show warning prompts and provide relevant suggestions and operation instructions; The interface of the data display module is set with user permissions.

[0015] Compared with the prior art, the present invention has at least the following beneficial effects: A circuit breaker contact wear degree intelligent evaluation system can process the collected circuit breaker images and automatically analyze the circuit breaker type by setting a circuit breaker type analysis module. This method can effectively reduce manual intervention, avoid errors in manual intervention, and also improve the degree of automation and work efficiency. By setting a wear evaluation module, a standard range of resistance values ​​can be preset according to the circuit breaker type, and the wear level of the circuit breaker can be quickly judged according to the standard range of resistance values, so that operators can quickly understand the wear status of the circuit breaker. By setting a wear prediction module, accurate single wear data can be calculated based on the first wear data, the second wear data, and the third wear data. Since the second wear is based on the first wear, and the third wear is based on the second wear, the second wear data will have a certain difference with the first wear data, the third wear data and the second wear data. If the difference is not obtained and the single wear data is directly used, the wear data will be incorrect. Accurate, therefore, by studying the data difference and establishing a global wear formula, more accurate wear data can be obtained, and the global wear formula can also be combined with the predicted data to obtain predicted wear data; by setting up a health monitoring module, the health status of the circuit breaker can be judged, and a monitoring warning can be issued based on the monitoring data. This module will first establish a health standard based on the type of circuit breaker, and then convert the wear data and predicted data of the circuit breaker into the number of available switches, and finally obtain the difference in the remaining available times of the circuit breaker. When there are only three remaining times, an early warning will be issued to prompt the operator to observe the status of the circuit breaker and replace the circuit breaker in time, thereby effectively improving the circuit breaker fault early warning function and avoiding equipment damage caused by sudden failures of the circuit breaker; the high degree of automation does not require manual inspections to judge the degree of wear of the circuit breaker. It has the functions of automatically judging the type of circuit breaker, wear degree assessment, accurate prediction of wear values, and early warning of the number of available times of the circuit breaker, making the wear degree of the circuit breaker simpler and more convenient.

[0016] Furthermore, the circuit breaker type analysis module receives the circuit breaker appearance image data taken by the camera and processes it, and analyzes the shape, color, logo and other features to determine the circuit breaker type. It 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.

[0017] Furthermore, the wear assessment module can provide a clear and scientific basis for judging the degree of wear of the circuit breaker by setting the standard resistance value range according to the circuit breaker type, thereby avoiding inaccurate subjective judgment. In addition, by setting and storing the standard range, it can facilitate subsequent rapid evaluation. The second evaluation of the same type of circuit breaker can directly use the pre-established standard value range, thereby greatly improving the evaluation efficiency.

[0018] Furthermore, the wear prediction module can obtain accurate wear data. Since the wear data will be accumulated, each wear data is different. Therefore, by calculating the difference in single wear amount and combining it with the global wear formula, more accurate predicted wear data can be obtained.

[0019] Furthermore, the health monitoring module can automatically determine the health of the circuit breaker and divide the health level according to the health level. When the circuit breaker wear value exceeds the health standard P, it means that the circuit breaker is in low health and cannot be used. When the circuit breaker value is at or below the health standard P, it means that the circuit breaker can still be used, and the remaining usage data will be obtained. When there are only three times left, an early warning will be triggered to prompt the staff.

[0020] In summary, the present invention can intelligently evaluate the degree of wear of the circuit breaker contact head, and also has the functions of wear degree prediction, remaining usage times calculation, and wear times warning, thereby greatly improving the maintenance and management efficiency of the circuit breaker and reducing the risk of equipment failure.

[0021] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings to be used in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "one side", "one end", "one side" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0026] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0027] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0028] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0029] It should be further understood that the term "and / or" used in the present description and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0030] Various structural schematic diagrams of the embodiments disclosed in the present invention are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0031] The present invention provides an intelligent evaluation system for the degree of wear of circuit breaker contacts, comprising a camera, a data collector, a server and a display that are communicatively connected in sequence. The present invention can intelligently evaluate the degree of wear of circuit breaker contacts, and also has the functions of wear degree prediction, remaining usage times calculation and wear times warning, thereby greatly improving the maintenance and management efficiency of circuit breakers and reducing the risk of equipment failure.

[0032] See also Figure 1 The present invention provides an intelligent assessment system for the wear degree of circuit breaker contacts, comprising a camera, a data collector, a server and a display. The server comprises a circuit breaker type analysis module, a signal processing module, a wear assessment module, a wear prediction module and a health monitoring module. The circuit breaker type analysis module, the signal processing module, the wear assessment module, the wear prediction module and the health monitoring module are communicatively connected in sequence. The camera is communicatively connected to the circuit breaker type analysis module of the server via the data collector; the display comprises a data display module, and the data display module is communicatively connected to the health monitoring module of the server.

[0033] The circuit breaker type analysis module is used to receive the circuit breaker appearance image data taken by the camera, process it, analyze the shape, color, logo and other features, and determine the circuit breaker type.

[0034] In this embodiment, the circuit breaker type analysis module is used to receive the circuit breaker appearance image data taken by the camera, and process it to analyze the shape, color, and logo features. The processing process of determining the circuit breaker type is as follows: Perform preliminary processing on the captured images, including denoising, adjusting brightness and contrast, using edge detection algorithms to extract the outline of the circuit breaker, and calculating basic shape features such as surface area and perimeter based on its outline; Compare the extracted contour with the contour template of the known circuit breaker to determine the type, and convert the image from RGB space to HSV or LAB color space, analyze the color features, calculate the color histogram of the image, and identify the color features related to the brand and type of the circuit breaker; Identify labels on circuit breakers, such as model, brand, and warning information, and perform text extraction and analysis; Collect sample data of circuit breaker types and mark the sample data; The deep learning model is trained with sample data to improve the recognition ability of circuit breaker type analysis. Finally, the specific type of circuit breaker is identified by comparing the extracted features with the features in the database.

[0035] According to the matching result, the type of the circuit breaker is determined, and the determination result is output, including the type of the circuit breaker and related parameters.

[0036] It should be noted that the types of circuit breakers include air circuit breakers, oil circuit breakers, and plastic circuit breakers; the degree of wear of the circuit breaker is not only related to the operating frequency, but also to its design structure and the material of the contact head. Contacts made of different materials have different wear resistance, which will cause different wear differences.

[0037] The signal processing module processes and filters the collected data, removes noise and extracts valid data.

[0038] The wear assessment module analyzes the resistance data in the known valid data, compares the resistance data with the standard value range, and divides the wear level.

[0039] In this embodiment, the wear assessment module analyzes the resistance data in the known valid data and compares the resistance data with the standard value range to divide the wear level process as follows: According to the determined circuit breaker type, the standard value range R1 of the resistance is set. When the resistance value is lower than the minimum value of the standard range R1, it indicates that the wear degree is low. When the resistance value is within the standard range R1, it indicates that the wear degree is medium. When the resistance value exceeds the maximum value of the standard range R1, it indicates that the wear degree is high. The established standard range of resistance values ​​is stored, and when evaluating the same type of circuit breaker for the second time, the pre-established standard range of values ​​is directly used; Compare the collected resistance value data with the set standard value range to determine the degree of wear of the circuit breaker; It should be noted that by presetting the standard value range of resistance, the degree of wear of the circuit breaker can be quickly divided. At the same time, based on the wear level of the equipment, the equipment with more serious wear can be given priority, the maintenance cycle can be optimized, and the resource utilization efficiency can be improved.

[0040] Wear prediction module, which uses a cumulative algorithm to model the wear process, and builds models based on load changes, switching frequency and other external conditions to predict the acceleration of wear under specific conditions, and finally predicts operating parameters and conditions and calculates the predicted wear degree; In this embodiment, the wear prediction module uses a cumulative algorithm to model the wear process, and at the same time establishes a model based on load changes, switching frequency and other external conditions to predict the accelerated wear under specific conditions, and finally predicts the operating parameters and conditions, and calculates the predicted wear degree. The processing process is as follows: Receive data from the data acquisition module and obtain the resistance value in the unworn state as the reference resistance , and establish a specific mathematical relationship between resistance value and wear amount; 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: ; in, are the coefficients obtained through fitting; Extract the resistance value R1 from the latest measured data and calculate the wear amount. The specific formula is: W2=f(R21); Wherein, W2 is the calculated wear amount; Receive the circuit breaker switching times data collected by the data collector, and 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. The following formula is obtained based on the wear amount: W2=W1+ΔW2; W3=W2+ΔW3; Among them, ΔW2 and ΔW3 represent the additional wear during secondary and tertiary switching, respectively; Establish the wear prediction formula, the first wear formula is: W1=f(L1,F1,C1); Among them, L1 is the load of the first switch, F1 is the frequency of the first switch, and C1 is the influencing factor of the environmental conditions; The secondary switch wear formula is: W2=W1+f(L2,F2,C2)=W1+ΔW2; Among them, L2, F2, and C2 are the load, frequency, and environmental conditions of the secondary switch, respectively; The three-switch wear formula is: W3=W2+f(L3,F3,C3)=W1+ΔW2+ΔW3; The wear volume is defined as: ΔWn=k⋅Ln⋅Fn⋅Cn; Among them, k is the empirical coefficient; The global wear formula is obtained: Wn= f(Li,Fi,Ci)=W1+ΔW2+ΔW3+…+ΔWn; Where Wn represents the total wear of the nth switch; The predicted operating parameters and conditions are input, the extent of wear is predicted, and the calculated data is output.

[0041] It should be noted that the wear data of the circuit breaker each time is different. The wear during the second switch is based on the first wear. Therefore, the wear during the second switch is the wear value of the first switch plus the change value of the second wear. The wear of the third switch is the wear value of the second switch plus the change value of the third wear. This cumulative analysis method uses the continuity of historical data, so that the wear amount of each switch can more accurately reflect the current state based on the previous one, further improving the effectiveness of the prediction. In this embodiment, the predicted operating parameters and conditions are input, and the process of predicting the degree of wear is as follows: According to the equipment's work schedule and historical data, a prediction model is established to estimate future load Lf, switching times Nf, operating frequency Ff, and environmental conditions Cf; The predicted operating parameters and conditions are input into the global wear formula to calculate the predicted degree of wear.

[0042] The health monitoring module sets up the circuit breaker wear health standard P, judges the circuit breaker health status, and converts the health standard value P into the number of switches based on the predicted load Lf, switching times Nf, operating frequency Ff, environmental conditions Cf and the global wear formula, calculates the remaining number of switches, and issues an early warning. In this embodiment, the health monitoring module sets up a circuit breaker wear health standard P, judges the health status of the circuit breaker, and converts the health standard value P into the number of switches in combination with the predicted load Lf, the number of switches Nf, the operating frequency Ff and the environmental condition Cf and the global wear formula, calculates the remaining number of switches, and performs the early warning process as follows: A health standard P for the degree of circuit breaker wear is established according to the type of circuit breaker. When the circuit breaker wear value exceeds the health standard P, it means that the circuit breaker is in a low health state and cannot be used and needs to be replaced in time. When the circuit breaker value belongs to the health standard P, it means that the circuit breaker is in a medium health state and can still be used, but the number of uses needs to be paid attention to. When the circuit breaker wear value is lower than the health standard P, it means that the circuit breaker is in a high health state and can be used normally. The health level standard value is converted into the number of switching times by combining the predicted load Lf, switching times Nf, operating frequency Ff and environmental conditions Cf with the global wear formula; Calculate the difference between the known standard switching times of the circuit breaker and the existing switching times of the circuit breakers with medium health and high health, obtain the remaining times of the circuit breakers with medium health and high health, and set an early warning based on the remaining times. When the circuit breaker with medium health and high health has only three switching times left, trigger the early warning and send a warning message to the operator to remind the staff to pay attention to the status of the circuit breaker and replace the circuit breaker.

[0043] It should be noted that by calculating the remaining times of circuit breakers with different health levels and setting early warnings, operators can understand the operating status of circuit breakers in advance so that they can take timely response measures; When the number of switching times of medium and high health circuit breakers approaches the warning level, a warning message can be issued to alert staff to pay attention and avoid equipment damage caused by sudden failure of circuit breakers, thereby effectively improving the stability and reliability of the power system. In addition, warnings based on the remaining number of times can also help staff to reasonably arrange equipment maintenance and replacement plans, avoid unnecessary premature replacement causing waste of resources, or greater losses due to delayed replacement. This measure can achieve refined management of circuit breakers and improve the service life and efficiency of equipment.

[0044] The data display module is used to display information such as test results, wear assessment, and historical data trend warnings. It can also provide operators with data retrieval, data viewing, and data setting functions; In this embodiment, the data display module is used to display information such as test results, wear degree assessment, and historical data trend warning. At the same time, it can provide operators with data retrieval, data viewing, and data setting functions. The processing process is as follows: The data display module receives data from the data collector and can display real-time test results, wear assessment and health status. It also has an interface so that operators can retrieve specified data. When receiving warning information, the interface of the data display module will show warning prompts and provide relevant suggestions and operation instructions; The interface of the data display module is set with user permissions, and only authorized personnel can perform data settings and key operations.

[0045] It should be noted that the data display module can not only effectively display the detection results and wear assessment of the circuit breaker, but also provide operators with convenient data viewing and setting functions, thereby improving operational efficiency and the scientific nature of equipment management, and making it easier for operators to view specific data information.

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention described and shown in the drawings here can usually be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0047] Simulation experiment S1. Data Collection Use a camera to capture the appearance images of different types of circuit breakers, and use a data collector to obtain the operating data of the circuit breaker (such as resistance data).

[0048] S2. Circuit breaker type analysis The circuit breaker type is identified by the circuit breaker type analysis module.

[0049] S3. Signal processing The collected data is processed and filtered to remove noise.

[0050] S4. Wear assessment Wear assessment is performed based on the processed data and compared with standard values.

[0051] S5. Wear prediction The wear process is modeled using a cumulative algorithm and a prediction model is established based on load changes, switching frequency, etc.

[0052] S6. Health Monitoring According to the prediction results and the health standard P, the health status of the circuit breaker is judged and the remaining switching times are calculated.

[0053] Through simulation experiments, the intelligent evaluation system can accurately identify the type of circuit breaker and perform wear evaluation based on valid data; the wear prediction module can predict the accelerated wear based on historical data and external conditions, thereby predicting operating parameters and conditions and calculating the predicted degree of wear. The health monitoring module can judge the health status of the circuit breaker based on the set health standard P, calculate the remaining number of switches, and realize the early warning function.

[0054] The intelligent assessment system of the present invention automatically acquires data through cameras and data collectors, reducing human intervention; uses machine learning algorithms and cumulative algorithms to model the wear process, improving the accuracy of assessment and prediction; can monitor the operating status of the circuit breaker in real time and promptly warn of potential problems; can be customized according to different circuit breaker types and operating conditions, and has demonstrated high accuracy and real-time performance in simulation experiments, and can effectively assess the degree of wear of circuit breaker contacts and predict their remaining service life.

[0055] In summary, the present invention provides an intelligent assessment system for the degree of wear of circuit breaker contacts, which can accurately quantify the degree of wear of circuit breaker contacts, thereby improving the operating efficiency and safety of the power system. In addition, the tool of the present invention also has the function of predicting the remaining service life of the circuit breaker, which helps power companies to formulate more scientific and reasonable maintenance plans and reduce operating costs.

[0056] The above contents are only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. An intelligent evaluation system for circuit breaker contact wear, characterized in that: include: A camera, the camera is connected to a server via a data collector, and 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 circuit breaker type analysis module is used to receive the circuit breaker appearance image data taken by the camera, process it, analyze the shape, color, logo and other features, and determine the circuit breaker type; The signal processing module processes and filters the collected data to remove noise and extract valid data; The wear assessment module analyzes the resistance data in the known valid data and compares the resistance data with the standard value to classify the wear level; Wear prediction module, which uses a cumulative algorithm to model the wear process and establishes a prediction model based on load changes, switching frequency and other external conditions. The prediction model predicts the accelerated wear under specific conditions, and finally predicts the operating parameters and conditions and calculates the predicted wear degree. The health monitoring module sets up the circuit breaker wear health standard P to judge the health status of the circuit breaker, and converts the health standard value P into the number of switches based on the predicted load Lf, switching times Nf, operating frequency Ff, environmental conditions Cf and the global wear formula, calculates the remaining number of switches and issues an early warning.

2. The circuit breaker contact wear degree intelligent assessment system according to claim 1, characterized in that: The processing of the circuit breaker type analysis module is as follows: Perform preliminary processing on the captured images, including denoising, adjusting brightness and contrast, using edge detection algorithms to extract the outline of the circuit breaker, and calculating basic shape features such as surface area and perimeter based on its outline; Compare the extracted contour with the contour template of the known circuit breaker to determine the type, and convert the image from RGB space to HSV or LAB color space, analyze the color features, calculate the color histogram of the image, and identify the color features related to the brand and type of the circuit breaker; Identify the logo on the circuit breaker and perform text extraction and analysis; Collect sample data of circuit breaker types and mark the sample data; Use sample data to train the deep learning model to improve the recognition ability of circuit breaker type analysis. Finally, by comparing the extracted features with the features in the database, the specific type of circuit breaker can be identified. According to the matching result, the type of the circuit breaker is determined, and a determination result is output, which includes the type of the circuit breaker and related parameters.

3. The circuit breaker contact wear degree intelligent assessment system according to claim 2, characterized in that: The identification includes model number, brand and warning information.

4. The circuit breaker contact wear degree intelligent assessment system according to claim 1, characterized in that: The processing of the wear assessment module is as follows: According to the determined circuit breaker type, the standard value range R1 of the resistance is set. When the resistance value is lower than the minimum value of the standard range R1, it indicates that the wear degree is low. When the resistance value is within the standard range R1, it indicates that the wear degree is medium. When the resistance value exceeds the maximum value of the standard range R1, it indicates that the wear degree is high. The established standard range of resistance values ​​is stored, and when evaluating the same type of circuit breaker for the second time, the pre-established standard range of values ​​is directly used; Compare the collected resistance value data with the set standard value range to determine the degree of wear of the circuit breaker.

5. The circuit breaker contact wear degree intelligent assessment system according to claim 1, characterized in that: The processing of the wear prediction module is as follows: Receive data from the data acquisition module and obtain the resistance value in the unworn state as the reference resistance , and establish a specific mathematical relationship between resistance value and wear amount; Based on the existing data, a nonlinear regression model is used to fit the relationship between resistance change and wear amount. Extract the resistance value R1 from the latest measured data and calculate the wear amount W2; Receive the circuit breaker switching times data collected by the data collector, and 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 to 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.

6. The circuit breaker contact wear degree intelligent assessment system according to claim 5, characterized in that: The total wear of the nth switch is specifically: Wn= f(Li,Fi,Ci)=W1+ΔW2+ΔW3+…+ΔWn; Where Li, Fi, Ci are the load, frequency and environmental conditions of the i-th switch, and ΔWn is the wear amount.

7. The circuit breaker contact wear degree intelligent assessment system according to claim 6, characterized in that: The wear amount ΔWn is: ΔWn=k⋅Ln⋅Fn⋅Cn Where k is the empirical coefficient.

8. The circuit breaker contact wear degree intelligent assessment system according to claim 1, characterized in that: The processing of the health monitoring module is as follows: A health standard P for the wear degree of the circuit breaker is established according to the type of circuit breaker. When the wear value of the circuit breaker exceeds the health standard P, it means that the health degree of the circuit breaker is low and cannot be used; When the circuit breaker value belongs to the health standard P, it means that the circuit breaker is in medium health and can be used; When the circuit breaker wear value is lower than the health standard P, it means that the circuit breaker is in high health and can be used normally; The health level standard value is converted into the number of switching times by combining the predicted load Lf, switching times Nf, operating frequency Ff and environmental conditions Cf with the global wear formula; Calculate the difference between the known standard switching times of the circuit breaker and the existing switching times of the circuit breakers with medium health and high health, obtain the remaining times of the circuit breakers with medium health and high health, and set an early warning based on the remaining times. When the circuit breaker with medium health and high health has only three switching times left, trigger the early warning and send a warning message to the operator to remind the staff to pay attention to the status of the circuit breaker and replace the circuit breaker.

9. The circuit breaker contact wear degree intelligent assessment system according to claim 1, characterized in that: The health monitoring module is connected to a display, which displays the test results, wear assessment, and historical data trend warning information, while providing operators with data retrieval, data viewing, and data setting functions.

10. The circuit breaker contact wear degree intelligent assessment system according to claim 9, characterized in that: The display includes: The data display module is used to receive data from the data collector and display real-time test results, wear assessment and health status. It also has an interface so that operators can retrieve specified data; When receiving warning information, the interface of the data display module will show warning prompts and provide relevant suggestions and operation instructions; The interface of the data display module is set with user permissions.

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