A state evaluation method for pole-mounted circuit breaker

Abstract

The present invention belongs to the technical field of state evaluation, and is specifically a state evaluation method for a pole-mounted circuit breaker, the steps of which include: collecting electrical characteristic parameters and mechanical characteristic parameters of the pole-mounted circuit breaker, constructing an operation characteristic model of the pole-mounted circuit breaker, and matching the first characteristic score of the pole-mounted circuit breaker; analyzing the temperature data of the pole-mounted circuit breaker to obtain the temperature factor of the pole-mounted circuit breaker; obtaining the insulation characteristic data of the pole-mounted circuit breaker to obtain the insulation characteristic factor of the pole-mounted circuit breaker; using a support vector machine model to match the second characteristic score of the pole-mounted circuit breaker; constructing a pole-mounted circuit breaker usage characteristic model, combining a BP neural network model, and matching the third characteristic score of the pole-mounted circuit breaker; based on the first characteristic score of the pole-mounted circuit breaker, the second characteristic score of the pole-mounted circuit breaker, and the third characteristic score of the pole-mounted circuit breaker, a fusion evaluation score of the pole-mounted circuit breaker is obtained. The present invention comprehensively evaluates the pole-mounted circuit breaker from multiple dimensions, thereby improving the accuracy and reliability of the evaluation.

Description

Technical Field

[0001] The invention belongs to the technical field of status evaluation, and in particular relates to a status evaluation method for a pole-mounted circuit breaker. Background Art

[0002] With the rapid development of the economy, the demand for electricity in society continues to rise, the scale of the power grid continues to expand, and the requirements for power supply reliability are becoming more and more stringent. As a key device in the distribution network, pole-mounted circuit breakers are widely used in line overload and short-circuit protection, fault isolation, and load switching. Their operating status is directly related to the stability and power supply quality of the distribution network. Once a pole-mounted circuit breaker fails, it is very likely to cause a large-scale power outage, which will not only cause huge economic losses, but also affect the normal operation of society. However, some of the pole-mounted circuit breakers currently in operation do not have two remote (telemetry, telesignaling) or three remote (telemetry, telesignaling, remote control) functions due to their early commissioning time and relatively backward technology. They are difficult to meet the requirements of intelligent operation and maintenance and efficient operation and maintenance of current distribution network lines, and cannot achieve real-time monitoring and precise control of equipment.

[0003] In terms of the status assessment of pole-mounted circuit breakers, traditional methods mainly rely on manual on-site inspections, which judge the status of equipment by visually observing the appearance of the equipment and manually detecting some parameters. This method is not only inefficient and consumes a lot of manpower and time, but is also greatly affected by personnel experience and subjective factors, making it difficult to ensure the accuracy and reliability of the assessment results. In addition, the traditional single hierarchical analysis method also has obvious defects in the status assessment of pole-mounted circuit breakers. It is highly subjective and arbitrary, and the assessment process is easily interfered by human factors. The factors considered are not comprehensive enough, and the correlation between certain key factors is often ignored. The data fusion capability is insufficient, which makes the final evaluation results have a large deviation from the actual operating status of the equipment, making it difficult to effectively guide the maintenance and management decisions of the equipment. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a state evaluation method for a pole-mounted circuit breaker, which comprehensively evaluates the pole-mounted circuit breaker from multiple dimensions, combines models with data processing, avoids the subjective arbitrariness of traditional methods, and improves the accuracy and reliability of the evaluation.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0006] A method for evaluating the state of a pole-mounted circuit breaker comprises the following steps:

[0007] Step 1: Collect the electrical characteristic parameters and mechanical characteristic parameters of the pole-mounted circuit breaker, build the pole-mounted circuit breaker operation characteristic model, output the pole-mounted circuit breaker operation characteristic factor, and match the first characteristic score of the pole-mounted circuit breaker;

[0008] Step 2: Analyze the temperature data of the pole-mounted circuit breaker to obtain the temperature factor of the pole-mounted circuit breaker;

[0009] Step 3: Obtain insulation characteristic data of the pole-mounted circuit breaker, process the insulation characteristic data of the pole-mounted circuit breaker, and obtain an insulation characteristic factor of the pole-mounted circuit breaker;

[0010] Step 4: Based on the temperature factor of the pole-mounted circuit breaker and the insulation characteristic factor of the pole-mounted circuit breaker, use the support vector machine model to output the classification result and match the second characteristic score of the pole-mounted circuit breaker;

[0011] Step 5: Collect the usage environment data of the pole-mounted circuit breaker and the historical usage characteristic data of the pole-mounted circuit breaker, build a pole-mounted circuit breaker usage characteristic model, output the pole-mounted circuit breaker usage characteristic factor, combine the BP neural network model, and match the third characteristic score of the pole-mounted circuit breaker;

[0012] Step six: based on the first characteristic score of the pole-mounted circuit breaker, the second characteristic score of the pole-mounted circuit breaker and the third characteristic score of the pole-mounted circuit breaker, obtain a fusion evaluation score of the pole-mounted circuit breaker.

[0013] Preferably, in step 1, the process of matching the first characteristic score of the pole-mounted circuit breaker is:

[0014] The electrical characteristic parameters of the pole-mounted circuit breaker specifically include the pole-mounted circuit breaker voltage , Pole-mounted circuit breaker current , Pole-mounted circuit breaker power factor ;

[0015] The mechanical characteristic parameters of the pole-mounted circuit breaker specifically include the contact travel of the pole-mounted circuit breaker , Pole-mounted circuit breaker opening speed , closing speed of pole-mounted circuit breaker ;

[0016] Constructing a pole-mounted circuit breaker operation characteristic model, outputting a pole-mounted circuit breaker operation characteristic factor based on the pole-mounted circuit breaker electrical characteristic parameters and the pole-mounted circuit breaker mechanical characteristic parameters, and using the pole-mounted circuit breaker operation characteristic factor as an analysis basis for matching the first characteristic score of the pole-mounted circuit breaker;

[0017] A mapping table of pole-mounted circuit breaker operation characteristic factor-pole-mounted circuit breaker first characteristic score pre-stored in a database is obtained, and a matching pole-mounted circuit breaker first characteristic score is found according to the pole-mounted circuit breaker operation characteristic factor by searching the mapping table.

[0018] Preferably, the pole-mounted circuit breaker operation characteristic model is expressed as:

[0019] ;

[0020] In the formula, is the operating characteristic factor of the pole-mounted circuit breaker, is the electrical characteristic factor of the pole-mounted circuit breaker, is the mechanical characteristic factor of the pole-mounted circuit breaker, is the reference voltage of the pole-mounted circuit breaker, is the reference current of the pole-mounted circuit breaker, Reference contact travel for pole mounted circuit breakers, It is the reference opening speed of the pole-mounted circuit breaker. Reference closing speed for pole mounted circuit breakers, For setting The weight factor of For setting The weight factor of , e is a natural constant.

[0021] Preferably, in step 2, the process of obtaining the temperature factor of the pole-mounted circuit breaker is:

[0022] Get pole-mounted circuit breaker temperature data, including pole-mounted circuit breaker contact temperature , Pole-mounted circuit breaker coil temperature , Pole-mounted circuit breaker body temperature ;

[0023] Based on the acquired pole-mounted circuit breaker temperature data, a pole-mounted circuit breaker temperature factor is obtained through comprehensive analysis, and the pole-mounted circuit breaker temperature factor is used as an analysis basis for matching the second characteristic score of the pole-mounted circuit breaker;

[0024] The formula for obtaining the temperature factor of the pole-mounted circuit breaker is:

[0025] ;

[0026] In the formula, is the temperature factor of the pole-mounted circuit breaker, and e is a natural constant.

[0027] Preferably, in step 3, the process of obtaining the insulation characteristic factor of the pole-mounted circuit breaker is:

[0028] Obtain insulation characteristic data of pole-mounted circuit breakers, including insulation resistance of pole-mounted circuit breakers , Pole-mounted circuit breaker dielectric loss factor , Partial discharge frequency of pole-mounted circuit breakers ;

[0029] Based on the acquired insulation characteristic data of the pole-mounted circuit breaker, the insulation characteristic factor of the pole-mounted circuit breaker is obtained through comprehensive analysis. The insulation characteristic factor of the pole-mounted circuit breaker is used as the analysis basis for matching the second characteristic score of the pole-mounted circuit breaker.

[0030] Preferably, the formula for obtaining the insulation characteristic factor of the pole-mounted circuit breaker is:

[0031] ;

[0032] In the formula, is the insulation characteristic factor of the pole-mounted circuit breaker, and e is a natural constant.

[0033] Preferably, in step 4, the process of matching the second characteristic score of the pole-mounted circuit breaker is:

[0034] Obtain sample data of pole-mounted circuit breakers with known states stored in a database, and divide the data into a training set and a test set according to a set ratio;

[0035] Use the training set to train the support vector machine model and minimize the objective function , while satisfying the constraints and ;

[0036] in, is the Lagrange multiplier corresponding to the i-th pole-mounted circuit breaker sample, is the Lagrange multiplier corresponding to the j-th pole-mounted circuit breaker sample, is the i-th pole-mounted circuit breaker sample, is the jth pole-mounted circuit breaker sample, i and j are the pole-mounted circuit breaker sample numbers, n is the total number of pole-mounted circuit breaker samples, C is the penalty parameter, is the radial basis kernel function, , is the width parameter of the radial basis kernel function, and are the feature vectors of the i-th pole-mounted circuit breaker sample and the j-th pole-mounted circuit breaker sample respectively;

[0037] Input the preprocessed pole-mounted circuit breaker temperature factor and pole-mounted circuit breaker insulation characteristic factor into the trained support vector machine model, classify the state of the pole-mounted circuit breaker through the decision function, and output the classification result;

[0038] A classification result-pole-mounted circuit breaker second characteristic score mapping table pre-stored in the database is obtained, and a matching pole-mounted circuit breaker second characteristic score is found according to the classification result by searching the mapping table.

[0039] Preferably, in step 5, the process of using the characteristic factor of the output pole-mounted circuit breaker is:

[0040] Collect the use environment data of the pole-mounted circuit breaker and the historical use characteristic data of the pole-mounted circuit breaker, including the environmental humidity of the pole-mounted circuit breaker , Ambient air pressure of pole mounted circuit breaker , Pole-mounted circuit breaker ambient wind speed The historical usage characteristic data of the pole-mounted circuit breaker specifically includes the historical usage years of the pole-mounted circuit breaker , Historical use and maintenance times of pole-mounted circuit breakers , Pole-mounted circuit breaker contact wear ;

[0041] Construct a pole-mounted circuit breaker usage characteristic model, output the pole-mounted circuit breaker usage characteristic factor based on the pole-mounted circuit breaker usage environment data and the pole-mounted circuit breaker historical usage characteristic data, and use the pole-mounted circuit breaker usage characteristic factor as the analysis basis for matching the third characteristic score of the pole-mounted circuit breaker;

[0042] The pole mounted circuit breaker is represented using the characteristic model as:

[0043] ;

[0044] In the formula, Using the characterization factor for pole mounted circuit breakers, Using environmental characterization factors for pole mounted circuit breakers, Using the characterization factor for the pole-mounted circuit breaker history, For setting The weight factor of For setting The weight factor of , e is a natural constant.

[0045] Preferably, in step 5, the process of matching the third characteristic score of the pole-mounted circuit breaker is:

[0046] Obtain the training data set of the BP neural network model, and normalize the input variables and output variables; determine that the number of neurons in the input layer of the BP neural network model is equal to the number of input variables, and the input variables are the characteristic factors of the pole-mounted circuit breakers in the training data set; the number of neurons in the output layer is equal to the number of categories of the status level of the pole-mounted circuit breakers, and use unique hot encoding to convert them into numerical vectors;

[0047] Input the preprocessed characteristic factors of the current pole-mounted circuit breaker into the trained BP neural network model to obtain the output vector of the output layer. According to the output vector, the state level of the pole-mounted circuit breaker is determined by using the maximum membership principle.

[0048] A mapping table of pole-mounted circuit breaker state level-pole-mounted circuit breaker third characteristic score pre-stored in a database is obtained, and a matching pole-mounted circuit breaker third characteristic score is found according to the pole-mounted circuit breaker state level by searching the mapping table.

[0049] Preferably, in step 6, the method for obtaining the pole-mounted circuit breaker fusion evaluation score is to construct a pole-mounted circuit breaker fusion evaluation model to obtain the pole-mounted circuit breaker fusion evaluation score:

[0050] ;

[0051] In the formula, To score the Pole Mounted Circuit Breaker Fusion Assessment, Score the first characteristic of the pole-mounted circuit breaker. Score the second characteristic of the pole-mounted circuit breaker. Score the third characteristic of the pole-mounted circuit breaker. For setting The weight factor of For setting The weight factor of For setting The weight factor of .

[0052] The present invention has the following beneficial effects:

[0053] The present invention evaluates the pole-mounted circuit breaker from multiple dimensions such as electrical characteristics, mechanical characteristics, temperature, insulation characteristics, usage environment and historical usage characteristics, avoiding the one-sidedness of evaluation based on only a single factor or a few factors, and can more comprehensively and accurately reflect the actual operating conditions of the pole-mounted circuit breaker.

[0054] The present invention quantifies various characteristics of the pole-mounted circuit breaker by building an operation characteristic model, analyzing temperature data, processing insulation characteristic data, building a usage characteristic model, and matching corresponding characteristic scores, making the evaluation results more accurate and convenient for comparison and analysis. By conducting a comprehensive and accurate status evaluation and fault prediction of the pole-mounted circuit breaker, hidden faults can be eliminated in a timely manner, thereby enhancing the reliability and stability of the power system and ensuring the continuity of power supply.

[0055] The present invention collects the use environment data of the pole-mounted circuit breaker and the historical use characteristic data of the pole-mounted circuit breaker, constructs a pole-mounted circuit breaker use characteristic model, outputs the pole-mounted circuit breaker use characteristic factor, combines the BP neural network model, and matches the third characteristic score of the pole-mounted circuit breaker. The state of the pole-mounted circuit breaker can be evaluated from a more comprehensive perspective, avoiding only focusing on the current operating parameters and ignoring the impact of the external environment and historical accumulation on the equipment.

[0056] The present invention reduces the influence of human subjective judgment by constructing and analyzing the model based on the actual collected data. The BP neural network model has powerful nonlinear mapping and self-learning capabilities, can automatically extract the characteristics and laws in the data, and accurately model the relationship between complex equipment status and various influencing factors, thereby improving the accuracy and reliability of the third characteristic score evaluation of the pole-mounted circuit breaker. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0058] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0059] Example 1: Figure 1 As shown, a method for evaluating the state of a pole-mounted circuit breaker includes:

[0060] Step 1: Collect the electrical characteristic parameters and mechanical characteristic parameters of the pole-mounted circuit breaker, build the pole-mounted circuit breaker operation characteristic model, output the pole-mounted circuit breaker operation characteristic factor, and match the first characteristic score of the pole-mounted circuit breaker. The specific process is as follows:

[0061] The electrical characteristic parameters of the pole-mounted circuit breaker specifically include the pole-mounted circuit breaker voltage , Pole-mounted circuit breaker current , Pole-mounted circuit breaker power factor ; The mechanical characteristic parameters of the pole-mounted circuit breaker specifically include the contact travel of the pole-mounted circuit breaker , Pole-mounted circuit breaker opening speed , closing speed of pole-mounted circuit breaker ; Construct a pole-mounted circuit breaker operation characteristic model, output the pole-mounted circuit breaker operation characteristic factor based on the pole-mounted circuit breaker electrical characteristic parameters and the pole-mounted circuit breaker mechanical characteristic parameters, and use the pole-mounted circuit breaker operation characteristic factor as the analysis basis for matching the pole-mounted circuit breaker first characteristic score; obtain a pole-mounted circuit breaker operation characteristic factor-pole-mounted circuit breaker first characteristic score mapping table pre-stored in the database, and find the matching pole-mounted circuit breaker first characteristic score according to the pole-mounted circuit breaker operation characteristic factor by searching the mapping table.

[0062] The operating characteristic model of the pole-mounted circuit breaker is expressed as:

[0063] ;

[0064] In the formula, is the operating characteristic factor of the pole-mounted circuit breaker, is the electrical characteristic factor of the pole-mounted circuit breaker, is the mechanical characteristic factor of the pole-mounted circuit breaker, is the reference voltage of the pole-mounted circuit breaker, is the reference current of the pole-mounted circuit breaker, Reference contact travel for pole mounted circuit breakers, It is the reference opening speed of the pole-mounted circuit breaker. Reference closing speed for pole mounted circuit breakers, For setting The weight factor of For setting The weight factor of , e is a natural constant, and ln is the logarithm with base e.

[0065] Collect electrical characteristic parameters (voltage, current, power factor) and mechanical characteristic parameters (contact travel, opening and closing speed), build an operation characteristic model from the two key dimensions of electrical and mechanical, comprehensively reflect the operation status of the circuit breaker, and avoid the one-sidedness of single-dimensional evaluation.

[0066] The electrical characteristic factor, mechanical characteristic factor and operating characteristic factor are calculated by the designed formula, and the operating characteristics of the circuit breaker are converted into specific values, making the evaluation results more accurate and objective, and facilitating the comparison and analysis of the status of different circuit breakers. The reference voltage, reference current, reference contact travel, reference opening and closing speed and other parameters are introduced to provide clear standards and comparison benchmarks for the evaluation calculation, and enhance the reliability and accuracy of the evaluation results.

[0067] Step 2: Analyze the temperature data of the pole-mounted circuit breaker to obtain the temperature factor of the pole-mounted circuit breaker. The specific process is as follows:

[0068] Get pole-mounted circuit breaker temperature data, including pole-mounted circuit breaker contact temperature , Pole-mounted circuit breaker coil temperature , Pole-mounted circuit breaker body temperature Based on the acquired pole-mounted circuit breaker temperature data, a comprehensive analysis is performed to obtain the pole-mounted circuit breaker temperature factor, which is used as the analysis basis for matching the second characteristic score of the pole-mounted circuit breaker;

[0069] The formula for obtaining the temperature factor of the pole-mounted circuit breaker is:

[0070] ;

[0071] In the formula, is the temperature factor of the pole mounted circuit breaker.

[0072] Collecting temperature data of multiple parts such as contact temperature, coil temperature and body temperature can fully reflect the temperature status of the pole-mounted circuit breaker. Temperature changes in different parts may indicate different faults or abnormal conditions. For example, high contact temperature may indicate poor contact, and abnormal coil temperature may be related to coil aging or overload. Comprehensive consideration of these temperature data can more accurately assess the health status of the equipment.

[0073] The temperature factor, as the analysis basis for matching the second characteristic score of the pole-mounted circuit breaker, provides an important component for the overall status evaluation system. When comprehensively evaluating the circuit breaker status, temperature is a key influencing factor. The temperature factor can be combined with other characteristic factors (such as operating characteristic factors, etc.) to comprehensively evaluate the operating status of the circuit breaker from multiple dimensions and improve the accuracy and reliability of the evaluation results.

[0074] Step 3: Obtain the insulation characteristic data of the pole-mounted circuit breaker, process the insulation characteristic data of the pole-mounted circuit breaker, and obtain the insulation characteristic factor of the pole-mounted circuit breaker. The process is as follows:

[0075] Obtain insulation characteristic data of pole-mounted circuit breakers, including insulation resistance of pole-mounted circuit breakers , Pole-mounted circuit breaker dielectric loss factor , Partial discharge frequency of pole-mounted circuit breakers Based on the acquired insulation characteristic data of the pole-mounted circuit breaker, the insulation characteristic factor of the pole-mounted circuit breaker is obtained through comprehensive analysis. The insulation characteristic factor of the pole-mounted circuit breaker is used as the analysis basis for matching the second characteristic score of the pole-mounted circuit breaker.

[0076] The formula for obtaining the insulation characteristic factor of the pole-mounted circuit breaker is:

[0077] ;

[0078] In the formula, is the insulation characteristic factor of the pole-mounted circuit breaker.

[0079] Collect multiple types of insulation characteristic data such as insulation resistance, dielectric loss factor, partial discharge frequency, etc. to reflect the insulation status of the pole-mounted circuit breaker from different angles. Insulation resistance reflects the ability of the insulating material to prevent the passage of current, dielectric loss factor reflects the energy loss of the insulating medium under AC voltage, and partial discharge frequency indicates possible defects inside the insulation. Comprehensive analysis of multi-dimensional data can comprehensively evaluate the insulation performance.

[0080] The insulation characteristic factor is used as the analysis basis for matching the second characteristic score of the pole-mounted circuit breaker and is integrated into the overall status evaluation system. Insulation performance is one of the key factors in the comprehensive evaluation of the circuit breaker status. The insulation characteristic factor works together with other characteristic factors (such as temperature factors, etc.) to comprehensively evaluate the circuit breaker status from multiple aspects and improve the accuracy and reliability of the evaluation results.

[0081] Step 4: Based on the temperature factor of the pole-mounted circuit breaker and the insulation characteristic factor of the pole-mounted circuit breaker, use the support vector machine model to output the classification result and match the second characteristic score of the pole-mounted circuit breaker. The specific process is as follows:

[0082] Obtain the known state of the pole-mounted circuit breaker sample data stored in the database, and divide it into a training set and a test set according to the set ratio, which can be 7:3; use the training set to train the support vector machine model to minimize the objective function , while satisfying the constraints and ;

[0083] in, is the Lagrange multiplier corresponding to the i-th pole-mounted circuit breaker sample, is the Lagrange multiplier corresponding to the j-th pole-mounted circuit breaker sample, i≠j, is the i-th pole-mounted circuit breaker sample, is the jth pole-mounted circuit breaker sample, i and j are the pole-mounted circuit breaker sample numbers, n is the total number of pole-mounted circuit breaker samples, C is the penalty parameter (balancing the complexity of the model and the classification error), is the radial basis kernel function, , is the width parameter of the radial basis kernel function, exp is the exponential function, and are the feature vectors of the i-th pole-mounted circuit breaker sample and the j-th pole-mounted circuit breaker sample respectively; the trained support vector machine model is input with the preprocessed pole-mounted circuit breaker temperature factor and the pole-mounted circuit breaker insulation characteristic factor, the state of the pole-mounted circuit breaker is classified through the decision function, and the classification result is output; the classification result-pole-mounted circuit breaker second characteristic score mapping table pre-stored in the database is obtained, and the matching pole-mounted circuit breaker second characteristic score is found according to the classification result by searching the mapping table.

[0084] Combining the two important data types of temperature factor and insulation characteristic factor, the operating status information of the pole-mounted circuit breaker can be reflected from different dimensions. Temperature and insulation performance are key factors affecting the reliability of circuit breakers. By comprehensively analyzing these two types of data, the changes in equipment status can be captured more comprehensively, thereby improving the accuracy of classification.

[0085] The support vector machine model has good generalization ability and the ability to process nonlinear data. It can find the optimal classification hyperplane in the high-dimensional feature space. Even if there is a complex nonlinear relationship between the temperature factor and the insulation characteristic factor, the support vector machine model can effectively classify the status of the circuit breaker and provide a reliable basis for subsequent status evaluation.

[0086] The support vector machine model is trained by minimizing the objective function and satisfying the corresponding constraints. This optimization process enables the model to find the optimal parameter settings on the training data, thereby improving the classification accuracy of the model. At the same time, the use of radial basis kernel functions can flexibly process data with different distributions, further enhancing the adaptability of the model.

[0087] Step 5: Collect the usage environment data of the pole-mounted circuit breaker and the historical usage characteristic data of the pole-mounted circuit breaker, build the pole-mounted circuit breaker usage characteristic model, output the pole-mounted circuit breaker usage characteristic factor, combine the BP neural network model, and match the third characteristic score of the pole-mounted circuit breaker. The specific process is as follows:

[0088] Collect the use environment data of the pole-mounted circuit breaker and the historical use characteristic data of the pole-mounted circuit breaker, including the environmental humidity of the pole-mounted circuit breaker , Ambient air pressure of pole mounted circuit breaker , Pole-mounted circuit breaker ambient wind speed The historical usage characteristic data of the pole-mounted circuit breaker specifically includes the historical usage years of the pole-mounted circuit breaker , Historical use and maintenance times of pole-mounted circuit breakers , Pole-mounted circuit breaker contact wear ; Construct a pole-mounted circuit breaker usage characteristic model, output the pole-mounted circuit breaker usage characteristic factor based on the pole-mounted circuit breaker usage environment data and the pole-mounted circuit breaker historical usage characteristic data, and use the pole-mounted circuit breaker usage characteristic factor as the analysis basis for matching the third characteristic score of the pole-mounted circuit breaker;

[0089] The pole mounted circuit breaker is represented using the characteristic model as:

[0090] ;

[0091] In the formula, Using the characterization factor for pole mounted circuit breakers, Using environmental characterization factors for pole mounted circuit breakers, Using the characterization factor for the pole-mounted circuit breaker history, For setting The weight factor of For setting The weight factor of ; lg represents the logarithm with base 10.

[0092] Collect environmental data such as ambient humidity, air pressure, and wind speed. These environmental factors will have a direct or indirect impact on the performance of the pole-mounted circuit breaker. High humidity may cause insulation performance to deteriorate, and strong wind may affect the mechanical stability of the equipment. Comprehensive consideration of these environmental factors can more accurately assess the status of the equipment in the actual operating environment.

[0093] Incorporate historical usage characteristic data such as the number of years of use, number of repairs, and contact wear. The number of years of use reflects the aging of the equipment, while the number of repairs and contact wear reflect the health and loss of the equipment in the past. Combining these historical data helps to understand the history of the equipment and determine its future performance change trend.

[0094] Quantify the usage environment and historical usage characteristic information. The usage environment characteristic factor and the historical usage characteristic factor reflect the equipment characteristics from the environmental and historical perspectives respectively. The usage characteristic factor combines the two and provides a specific and measurable indicator for equipment status assessment.

[0095] Obtain the training data set of the BP neural network model, and normalize the input variables and output variables; determine that the number of neurons in the input layer of the BP neural network model is equal to the number of input variables, and the input variables are the characteristic factors of the pole-mounted circuit breakers in the training data set; the number of neurons in the output layer is equal to the number of categories of the status level of the pole-mounted circuit breakers, and use unique hot encoding to convert them into numerical vectors;

[0096] Input the preprocessed characteristic factors of the current pole-mounted circuit breaker into the trained BP neural network model to obtain the output vector of the output layer. According to the output vector, the state level of the pole-mounted circuit breaker is determined by using the maximum membership principle.

[0097] A mapping table of pole-mounted circuit breaker state level-pole-mounted circuit breaker third characteristic score pre-stored in a database is obtained, and a matching pole-mounted circuit breaker third characteristic score is found according to the pole-mounted circuit breaker state level by searching the mapping table.

[0098] BP neural network, or back propagation neural network, is a multi-layer feedforward neural network trained according to the error back propagation algorithm. Its structure usually includes input layer, hidden layer and output layer, and each layer is connected by weights. During the training process, the input information is propagated from the forward direction and the output is obtained after being processed by each layer; if there is an error between the output and the target value, this error will be back propagated to the hidden layer and the input layer, and the error will be reduced by adjusting the weights until the expected accuracy is achieved. BP neural network is widely used in pattern recognition, classification, prediction and other fields. It has a strong nonlinear mapping ability and can learn and store a large number of input-output pattern mapping relationships.

[0099] Normalizing the input and output variables and mapping them to the [0,1] interval helps speed up the convergence of the model and avoids model training difficulties caused by large differences in the value range of the input variables. At the same time, it enables features of different magnitudes to be compared and learned on the same scale, improving the model's data processing and generalization capabilities.

[0100] The number of neurons in the input layer is determined according to the number of input variables (characteristic factors used by the pole-mounted circuit breaker), and the number of neurons in the output layer is determined according to the number of status level categories (for example, 3). This setting can closely meet the actual needs of pole-mounted circuit breaker status assessment and ensure that the model can accurately process the input data and output the corresponding status level.

[0101] The number of neurons in the hidden layer can be adjusted according to the actual situation, and can flexibly adapt to data features of different complexity and model learning requirements. By adjusting the number of neurons in the hidden layer, the model's ability to fit the complex relationship between the characteristic factors and the state level can be improved, and the model's adaptability and accuracy can be enhanced.

[0102] Step 6: Based on the first characteristic score of the pole-mounted circuit breaker, the second characteristic score of the pole-mounted circuit breaker and the third characteristic score of the pole-mounted circuit breaker, a fusion evaluation score of the pole-mounted circuit breaker is obtained. Specifically, a fusion evaluation model of the pole-mounted circuit breaker is constructed to obtain the fusion evaluation score of the pole-mounted circuit breaker:

[0103] ;

[0104] In the formula, To score the Pole Mounted Circuit Breaker Fusion Assessment, Score the first characteristic of the pole-mounted circuit breaker. Score the second characteristic of the pole-mounted circuit breaker. Score the third characteristic of the pole-mounted circuit breaker. For setting The weight factor of For setting The weight factor of For setting The weight factor of .

[0105] It combines the first characteristic score (based on electrical and mechanical characteristics), the second characteristic score (based on temperature and insulation characteristics), and the third characteristic score (based on the use environment and historical use characteristics) of the pole-mounted circuit breaker. It considers the circuit breaker status from multiple dimensions such as electrical, mechanical, temperature, insulation, environment and history, avoiding the limitations of single-dimensional evaluation and reflecting the overall operating status of the circuit breaker more comprehensively and accurately.

[0106] The calculated fusion evaluation score is a quantitative indicator that can intuitively reflect the comprehensive status of the pole-mounted circuit breaker. An accurate fusion evaluation score can provide strong support for operation and maintenance decisions.

[0107] All the above weight factors can be obtained from the database.

[0108] Embodiment 2: Based on Embodiment 1, this embodiment introduces a dynamic weight factor adjustment mechanism into the pole-mounted circuit breaker operation characteristic model. and , real-time monitoring of the deviation between electrical and mechanical characteristic parameters during equipment operation, for example, when When the accumulated value exceeds the preset threshold, the weight redistribution procedure is initiated;

[0109] A weight prediction model based on a dual-channel LSTM neural network is established, taking the temporal change rate of electrical characteristic parameters and the discrete coefficient of mechanical characteristic parameters as input features and outputting and The real-time dynamic weight value; set the weight smooth transition constraint conditions to ensure that the weight change rate of adjacent time windows does not exceed ±15%; at the same time, build a weight validity verification module. When the value suddenly changes by more than 3 standard deviations of the historical mean, it automatically switches to the preset fixed weight mode and triggers an alarm signal.

[0110] Through adaptive weight allocation that is sensitive to the operating status, this embodiment can solve the problem of inaccurate evaluation of fixed weight models during the equipment aging stage. For other models, dynamic weight factor adjustment can be performed in the same way.

[0111] Example 3: Based on Example 1, this example further improves the training process of the support vector machine model. Specifically, an improved NSGA-II multi-objective genetic algorithm is introduced in the model training stage, with classification accuracy, support vector sparsity, and decision boundary clarity as optimization targets, and synchronous iterative optimization is performed. The combined parameters of and C are dynamically corrected during the training process by calculating the KL divergence value of the test set samples and the training set feature vectors The attenuation coefficient.

Claims

1. A method for evaluating the state of a pole-mounted circuit breaker, characterized in that: The following steps are involved: Step 1: Collect the electrical characteristic parameters and mechanical characteristic parameters of the pole-mounted circuit breaker, build the pole-mounted circuit breaker operation characteristic model, output the pole-mounted circuit breaker operation characteristic factor, and match the first characteristic score of the pole-mounted circuit breaker; Step 2: Analyze the temperature data of the pole-mounted circuit breaker to obtain the temperature factor of the pole-mounted circuit breaker; Step 3: Obtain insulation characteristic data of the pole-mounted circuit breaker, process the insulation characteristic data of the pole-mounted circuit breaker, and obtain an insulation characteristic factor of the pole-mounted circuit breaker; Step 4: Based on the temperature factor of the pole-mounted circuit breaker and the insulation characteristic factor of the pole-mounted circuit breaker, use the support vector machine model to output the classification result and match the second characteristic score of the pole-mounted circuit breaker; Step 5: Collect the usage environment data of the pole-mounted circuit breaker and the historical usage characteristic data of the pole-mounted circuit breaker, build a pole-mounted circuit breaker usage characteristic model, output the pole-mounted circuit breaker usage characteristic factor, combine the BP neural network model, and match the third characteristic score of the pole-mounted circuit breaker; Step six: based on the first characteristic score of the pole-mounted circuit breaker, the second characteristic score of the pole-mounted circuit breaker and the third characteristic score of the pole-mounted circuit breaker, obtain a fusion evaluation score of the pole-mounted circuit breaker.

2. A method for evaluating the state of a pole mounted circuit breaker according to claim 1, characterized in that: In the step 1, the process of matching the first characteristic score of the pole-mounted circuit breaker is as follows: The electrical characteristic parameters of the pole-mounted circuit breaker specifically include the pole-mounted circuit breaker voltage , Pole-mounted circuit breaker current , Pole-mounted circuit breaker power factor ; The mechanical characteristic parameters of the pole-mounted circuit breaker specifically include the contact travel of the pole-mounted circuit breaker , Pole-mounted circuit breaker opening speed , closing speed of pole-mounted circuit breaker ; Constructing a pole-mounted circuit breaker operation characteristic model, outputting a pole-mounted circuit breaker operation characteristic factor based on the pole-mounted circuit breaker electrical characteristic parameters and the pole-mounted circuit breaker mechanical characteristic parameters, and using the pole-mounted circuit breaker operation characteristic factor as an analysis basis for matching the first characteristic score of the pole-mounted circuit breaker; A mapping table of pole-mounted circuit breaker operation characteristic factor-pole-mounted circuit breaker first characteristic score pre-stored in a database is obtained, and a matching pole-mounted circuit breaker first characteristic score is found according to the pole-mounted circuit breaker operation characteristic factor by searching the mapping table.

3. A method for evaluating the state of a pole mounted circuit breaker according to claim 2, characterized in that: The pole-mounted circuit breaker operation characteristic model is expressed as: ； In the formula, is the operating characteristic factor of the pole-mounted circuit breaker, is the electrical characteristic factor of the pole-mounted circuit breaker, is the mechanical characteristic factor of the pole-mounted circuit breaker, is the reference voltage of the pole-mounted circuit breaker, is the reference current of the pole-mounted circuit breaker, Reference contact travel for pole mounted circuit breakers, It is the reference opening speed of the pole-mounted circuit breaker. Reference closing speed for pole mounted circuit breakers, For setting The weight factor of For setting The weight factor of , e is a natural constant.

4. A method for evaluating the state of a pole mounted circuit breaker according to claim 1, characterized in that: In the step 2, the process of obtaining the temperature factor of the pole-mounted circuit breaker is: Get pole-mounted circuit breaker temperature data, including pole-mounted circuit breaker contact temperature , Pole-mounted circuit breaker coil temperature , Pole-mounted circuit breaker body temperature ; Based on the acquired pole-mounted circuit breaker temperature data, a pole-mounted circuit breaker temperature factor is obtained through comprehensive analysis, and the pole-mounted circuit breaker temperature factor is used as an analysis basis for matching the second characteristic score of the pole-mounted circuit breaker; The formula for obtaining the temperature factor of the pole-mounted circuit breaker is: ； In the formula, is the temperature factor of the pole-mounted circuit breaker, and e is a natural constant.

5. The method for evaluating the state of a pole mounted circuit breaker according to claim 1, characterized in that: In step 3, the process of obtaining the insulation characteristic factor of the pole-mounted circuit breaker is as follows: Obtain insulation characteristic data of pole-mounted circuit breakers, including insulation resistance of pole-mounted circuit breakers , Pole-mounted circuit breaker dielectric loss factor , Partial discharge frequency of pole-mounted circuit breakers ; Based on the acquired insulation characteristic data of the pole-mounted circuit breaker, the insulation characteristic factor of the pole-mounted circuit breaker is obtained through comprehensive analysis. The insulation characteristic factor of the pole-mounted circuit breaker is used as the analysis basis for matching the second characteristic score of the pole-mounted circuit breaker.

6. A method for evaluating the status of a pole mounted circuit breaker according to claim 5, characterized in that: The formula for obtaining the insulation characteristic factor of the pole-mounted circuit breaker is: ； In the formula, is the insulation characteristic factor of the pole-mounted circuit breaker, and e is a natural constant.

7. A method for evaluating the status of a pole mounted circuit breaker according to claim 1, characterized in that: In the step 4, the process of matching the second characteristic score of the pole-mounted circuit breaker is as follows: Obtain sample data of pole-mounted circuit breakers with known states stored in a database, and divide the data into a training set and a test set according to a set ratio; Use the training set to train the support vector machine model and minimize the objective function , while satisfying the constraints and ; in, is the Lagrange multiplier corresponding to the i-th pole-mounted circuit breaker sample, is the Lagrange multiplier corresponding to the j-th pole-mounted circuit breaker sample, is the i-th pole-mounted circuit breaker sample, is the jth pole-mounted circuit breaker sample, i and j are the pole-mounted circuit breaker sample numbers, n is the total number of pole-mounted circuit breaker samples, C is the penalty parameter, is the radial basis kernel function, , is the width parameter of the radial basis kernel function, and are the feature vectors of the i-th pole-mounted circuit breaker sample and the j-th pole-mounted circuit breaker sample respectively; Input the preprocessed pole-mounted circuit breaker temperature factor and pole-mounted circuit breaker insulation characteristic factor into the trained support vector machine model, classify the state of the pole-mounted circuit breaker through the decision function, and output the classification result; A classification result-pole-mounted circuit breaker second characteristic score mapping table pre-stored in the database is obtained, and a matching pole-mounted circuit breaker second characteristic score is found according to the classification result by searching the mapping table.

8. A method for evaluating the status of a pole mounted circuit breaker according to claim 1, characterized in that: In step 5, the process of using the characteristic factor of the output pole-mounted circuit breaker is as follows: Collect the use environment data of the pole-mounted circuit breaker and the historical use characteristic data of the pole-mounted circuit breaker, including the environmental humidity of the pole-mounted circuit breaker , Ambient air pressure of pole mounted circuit breaker , Pole-mounted circuit breaker ambient wind speed The historical usage characteristic data of the pole-mounted circuit breaker specifically includes the historical usage years of the pole-mounted circuit breaker , Historical use and maintenance times of pole-mounted circuit breakers , Pole-mounted circuit breaker contact wear ; Construct a pole-mounted circuit breaker usage characteristic model, output the pole-mounted circuit breaker usage characteristic factor based on the pole-mounted circuit breaker usage environment data and the pole-mounted circuit breaker historical usage characteristic data, and use the pole-mounted circuit breaker usage characteristic factor as the analysis basis for matching the third characteristic score of the pole-mounted circuit breaker; The pole mounted circuit breaker is represented using the characteristic model as: ； In the formula, Using the characterization factor for pole mounted circuit breakers, Using environmental characterization factors for pole mounted circuit breakers, Using the characterization factor for the pole-mounted circuit breaker history, For setting The weight factor of For setting The weight factor of , e is a natural constant.

9. A method for evaluating the status of a pole mounted circuit breaker according to claim 8, characterized in that: In the step 5, the process of matching the third characteristic score of the pole-mounted circuit breaker is as follows: Obtain the BP neural network model training data set and normalize the input variables and output variables; Determine that the number of neurons in the input layer of the BP neural network model is equal to the number of input variables, and the input variables are the characteristic factors of the pole-mounted circuit breakers in the training data set; the number of neurons in the output layer is equal to the number of categories of the status level of the pole-mounted circuit breakers, which are converted into numerical vectors using unique hot encoding; Input the preprocessed characteristic factors of the current pole-mounted circuit breaker into the trained BP neural network model to obtain the output vector of the output layer. According to the output vector, the state level of the pole-mounted circuit breaker is determined by using the maximum membership principle. A mapping table of pole-mounted circuit breaker state level-pole-mounted circuit breaker third characteristic score pre-stored in a database is obtained, and a matching pole-mounted circuit breaker third characteristic score is found according to the pole-mounted circuit breaker state level by searching the mapping table.

10. The method for evaluating the status of a pole mounted circuit breaker according to claim 1, characterized in that: In the step 6, the method for obtaining the pole-mounted circuit breaker fusion evaluation score is to construct a pole-mounted circuit breaker fusion evaluation model and obtain the pole-mounted circuit breaker fusion evaluation score: ； In the formula, To score the Pole Mounted Circuit Breaker Fusion Assessment, Score the first characteristic of the pole-mounted circuit breaker. Score the second characteristic of the pole-mounted circuit breaker. Score the third characteristic of the pole-mounted circuit breaker. For setting The weight factor of For setting The weight factor of For setting The weight factor of .

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