Evaluation method and device for relay protection equipment maintenance

Abstract

The application discloses an evaluation method and device for relay protection equipment maintenance, and relates to the technical field of electric power engineering. The method comprises the following steps: obtaining first data of a target relay protection equipment before maintenance, wherein the first data is used for representing device information, operation information and environment information of the target relay protection equipment before maintenance; determining a maintenance mode of the target relay protection equipment; obtaining second data of the target relay protection equipment during maintenance and third data of the target relay protection equipment after maintenance; determining a target vector according to the maintenance mode, the first data, the second data and the third data; and inputting the target vector into a target neural network to obtain an evaluation result of the maintenance of the target relay protection equipment. The application solves the technical problem that the maintenance quality of the relay protection is poor due to the fact that the state maintenance of the relay protection equipment is not strict and the data collection is not comprehensive in the prior art.

Description

Technical Field

[0001] This application relates to the field of power engineering technology, and more specifically, to an evaluation method and apparatus for the maintenance of relay protection equipment. Background Technology

[0002] With the rapid expansion of power systems and continuous technological advancements, relay protection, as a crucial link in ensuring the safe operation of power systems, has become increasingly important. The efficient and accurate operation of relay protection equipment is the cornerstone of power system stability. However, with the ever-expanding scale of the power grid, relay protection equipment faces more complex working environments and higher operational requirements. Current relay protection maintenance management suffers from a series of problems, such as vague condition-based maintenance standards and incomplete data collection. These issues not only affect the stability and security of the power system but also increase operating costs and limit the efficient management and maintenance of the power grid.

[0003] Traditionally, power system relay protection maintenance has primarily relied on periodic upkeep. While this method has ensured the normal operation of equipment to some extent, its limitations have become increasingly apparent with the rapid development of the power grid. The dramatic increase in maintenance workload coupled with a relative shortage of professional maintenance personnel has created a severe contradiction, leading to low maintenance efficiency, poor maintenance quality, and an inability to effectively meet the ever-growing maintenance demands of the power system.

[0004] There is currently no effective solution to the above problems. Summary of the Invention

[0005] This application provides an evaluation method and apparatus for the maintenance of relay protection equipment, which at least solves the technical problems in the prior art such as inadequate condition-based maintenance and incomplete data collection of relay protection equipment, which lead to poor maintenance quality of relay protection.

[0006] According to one aspect of this application, an evaluation method for the maintenance of relay protection equipment is provided, comprising: acquiring first data of the target relay protection equipment before maintenance, wherein the first data is used to characterize the equipment information, operating information, and environmental information of the target relay protection equipment before maintenance; determining the maintenance method of the target relay protection equipment; acquiring second data of the target relay protection equipment during maintenance and third data of the target relay protection equipment after maintenance, wherein the second data is used to characterize the maintenance information obtained by the target relay protection equipment during maintenance, and the third data is used to characterize the equipment information, operating information, and environmental information of the target relay protection equipment after maintenance; determining a target vector based on the maintenance method, the first data, the second data, and the third data; and inputting the target vector into a target neural network to obtain an evaluation result of the maintenance of the target relay protection equipment, wherein the target neural network is used to evaluate the maintenance status of the target relay protection equipment.

[0007] Optionally, after obtaining the first data of the target relay protection equipment before maintenance, the assessment method for the maintenance of the relay protection equipment further includes: determining the first risk indicator and the first time limit of the target relay protection equipment before maintenance based on the first data, wherein the first risk indicator is used to quantitatively assess the risk of the target relay protection equipment before maintenance, and the first time limit is used to characterize the remaining operating cycle of the target relay protection equipment before maintenance.

[0008] Optionally, the maintenance method includes at least the following: a first maintenance method, wherein the first maintenance method is used to characterize the maintenance of all parts of the target relay protection equipment; a second maintenance method, wherein the second maintenance method is used to characterize the maintenance of some parts of the target relay protection equipment; a third maintenance method, wherein the third maintenance method is used to characterize the inspection of the target relay protection equipment according to preset requirements; and a fourth maintenance method, wherein the fourth maintenance method is used to characterize the maintenance performed under the normal operation of the target relay protection equipment.

[0009] Optionally, the third data includes at least: power outage loss information, personnel cost information, target equipment information, target component information, and equipment or component information to be replaced, wherein the target equipment information is the equipment information to be installed in the target relay protection equipment, and the target component information is the component information to be installed in the target relay protection equipment.

[0010] Optionally, the target vector is determined based on the maintenance method, the first data, the second data, and the third data, including: determining the second risk index and the second time limit of the target relay protection equipment after maintenance based on the third data, wherein the second risk index is used to quantitatively assess the risk of the target relay protection equipment after maintenance, and the second time limit is used to characterize the remaining operating cycle of the target relay protection equipment after maintenance; determining the maintenance cost of the target relay protection equipment based on the maintenance method and the third data; determining the maintenance cost-effectiveness of the target relay protection equipment based on the maintenance cost, the first data, and the third data, wherein the maintenance cost-effectiveness is used to assess the economic value of maintaining the target relay protection equipment; and determining the target vector based on the second data, the first risk index, the first time limit, the second risk index, the second time limit, and the maintenance cost-effectiveness.

[0011] Optionally, the maintenance cost of the target relay protection equipment is determined based on the maintenance method and third data, including: using power outage loss information, personnel cost information, equipment information of the equipment to be replaced, and component information of the components to be replaced as fourth data; when the maintenance method is the first maintenance method, the maintenance cost is determined based on the fourth data and the target equipment information; when the maintenance method is the second maintenance method, the maintenance cost is determined based on the fourth data and the target component information; when the maintenance method is the third maintenance method, the maintenance cost is determined based on the power outage loss information and personnel cost information; and when the maintenance method is the fourth maintenance method, the maintenance cost is determined based on the personnel cost information.

[0012] Optionally, the maintenance cost-effectiveness of the target relay protection equipment is determined based on maintenance costs, first data, and third data, including: determining the target risk indicator based on the difference between the first risk indicator and the second risk indicator; determining the target time limit based on the difference between the first time limit and the second time limit; and determining the maintenance cost-effectiveness based on maintenance costs, the target risk indicator, and the target time limit.

[0013] According to another aspect of this application, an evaluation device for the maintenance of relay protection equipment is also provided, comprising: a first acquisition unit for acquiring first data of the target relay protection equipment before maintenance, wherein the first data is used to characterize the equipment information, operating information, and environmental information of the target relay protection equipment before maintenance; a first determination unit for determining the maintenance method of the target relay protection equipment; a second acquisition unit for acquiring second data of the target relay protection equipment during maintenance and third data of the target relay protection equipment after maintenance, wherein the second data is used to characterize the maintenance information obtained by the target relay protection equipment during maintenance, and the third data is used to characterize the equipment information, operating information, and environmental information of the target relay protection equipment after maintenance; a second determination unit for determining a target vector based on the maintenance method, the first data, the second data, and the third data; and a first processing unit for inputting the target vector into a target neural network to obtain an evaluation result of the maintenance of the target relay protection equipment, wherein the target neural network is used to evaluate the maintenance status of the target relay protection equipment.

[0014] According to another aspect of this application, a computer-readable storage medium is also provided, wherein a computer program is stored in the computer-readable storage medium, wherein when the computer program is executed, the device in which the computer-readable storage medium is located performs the above-described evaluation method for the maintenance of relay protection equipment.

[0015] According to another aspect of this application, an electronic device is also provided, wherein the electronic device includes one or more processors and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to perform the above-described evaluation method for the maintenance of relay protection equipment.

[0016] In this application, firstly, the first data of the target relay protection equipment before maintenance is obtained, namely, the equipment information, operating information, and environmental information of the target relay protection equipment before maintenance. Secondly, the maintenance method of the target relay protection equipment is determined according to the equipment condition. Next, second data of the target relay protection equipment during maintenance and third data of the target relay protection equipment after maintenance are obtained. The second data is used to characterize the maintenance information obtained during the maintenance process, and the third data is used to characterize the equipment information, operating information, and environmental information of the target relay protection equipment after maintenance. Then, a corresponding target relay protection device is constructed based on the maintenance method, the first data, the second data, and the third data. The target vector is then input into the corresponding target neural network to obtain the evaluation result of the maintenance of the target relay protection equipment. This method involves jointly analyzing various data related to the maintenance method of the relay protection equipment before, during, and after maintenance to obtain the evaluation result of each maintenance. This achieves the goal of automatically evaluating the maintenance of the relay protection equipment, promptly identifying deficiencies in each maintenance, and providing guidance for the next maintenance. This improves the technical effect of maintenance quality and solves the technical problems of poor maintenance quality of relay protection equipment caused by lax condition-based maintenance and incomplete data collection in existing technologies. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0018] Figure 1 This is a flowchart of an optional assessment method for the maintenance of relay protection equipment according to an embodiment of this application;

[0019] Figure 2 This is a schematic diagram of an optional assessment method for the maintenance of relay protection equipment according to an embodiment of this application;

[0020] Figure 3 This is a schematic diagram of an optional evaluation device for the maintenance of relay protection equipment according to an embodiment of this application. Detailed Implementation

[0021] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0022] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0023] It should also be noted that the information and data collected in this application are authorized by the user or fully authorized by all parties. Furthermore, the collection, storage, use, processing, transmission, provision, disclosure, and application of this data all comply with the relevant laws, regulations, and standards of the relevant regions, and necessary confidentiality measures have been taken. This does not violate public order and good morals, and corresponding access points are provided for users to choose to authorize or refuse. For example, this system has interfaces with relevant users or organizations. Before obtaining relevant information, a request to obtain the information needs to be sent to the aforementioned user or organization through the interface, and the relevant information is obtained only after receiving consent from the aforementioned user or organization.

[0024] According to an embodiment of this application, an embodiment of an evaluation method for the maintenance of relay protection equipment is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Also, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0025] It should be noted that an intelligent evaluation system can serve as the execution subject of the evaluation method for the maintenance of relay protection equipment in this application embodiment. It is understood that the evaluation method for the maintenance of relay protection equipment provided in this application embodiment can also be executed by other systems or devices, and this application embodiment does not specifically limit this.

[0026] Figure 1 This is a flowchart of an optional assessment method for the maintenance of relay protection equipment according to an embodiment of this application, such as... Figure 1 As shown, the method includes the following steps:

[0027] Step S101: Obtain the first data of the target relay protection device before maintenance.

[0028] In step S101, the first data is used to characterize the equipment information, operating information, and environmental information of the target relay protection equipment before maintenance.

[0029] Optionally, the intelligent assessment system first acquires relevant data about the relay protection equipment before maintenance.

[0030] Optionally, the first data includes, but is not limited to, the type of relay protection equipment before maintenance, CPU (Central Processing Unit) utilization rate, service life, sampling error test, SOE (Sequence of Events) resolution, remote signaling change response time, and environmental score.

[0031] It should be noted that service life refers to the operating time of relay protection equipment since its initial installation and commissioning. Service life is an important basis for assessing the degree of equipment aging, remaining service life, and potential failure probability. As the service life of the equipment increases, its internal components may gradually wear down, resulting in performance degradation, reduced reliability, and an increased likelihood of failure. Sampling error testing refers to the difference between the current, voltage, and other signals collected by the relay protection equipment in the power system and the actual values. Testing sampling error is to ensure that the relay protection equipment can accurately capture changes in the power system, which is crucial for the correct triggering of protection functions. Excessive sampling error may lead to malfunction or failure to operate, affecting the safe operation of the power system. SOE resolution indicates the accuracy of the event recording time of the equipment, usually measured in milliseconds. High SOE... Resolution is crucial for fault analysis and protection maintenance, helping maintenance personnel accurately understand the timing and sequence of fault occurrences, thereby more accurately diagnosing problems and improving protection strategies. Remote signaling change response time refers to the ability of relay protection equipment to send signals to the monitoring or control center via a remote communication system. It is the time from when the equipment detects a state change (such as circuit breaker opening / closing, alarm signals, etc.) to successfully transmitting the change signal to the monitoring center. A shorter response time means the equipment can report state changes to maintenance personnel more quickly, facilitating timely action and reducing the impact of faults. Environmental score is a quantitative indicator used to evaluate the equipment's installation and operating environment. It comprehensively considers the impact of environmental factors such as temperature, humidity, electromagnetic interference, dust, and vibration on equipment performance and lifespan.

[0032] Step S102: Determine the maintenance method for the target relay protection equipment.

[0033] Optionally, the intelligent assessment system will determine the maintenance method before inspecting the relay protection equipment.

[0034] Optionally, the intelligent assessment system selects the most suitable maintenance method based on the equipment status and maintenance needs.

[0035] Step S103: Obtain the second data of the target relay protection device during the maintenance process and the third data of the target relay protection device after maintenance.

[0036] In step S103, the second data is used to characterize the maintenance information obtained by the target relay protection equipment during the maintenance process, and the third data is used to characterize the equipment information, operation information and environmental information of the target relay protection equipment after maintenance.

[0037] Optionally, the intelligent assessment system will record the maintenance information of the relay protection equipment during the maintenance process, as well as the relevant data of the relay protection equipment after maintenance.

[0038] Optionally, the third data includes, but is not limited to, the type of relay protection equipment after maintenance, CPU utilization, service life, sampling error test, SOE resolution, remote signaling change response time and environmental score.

[0039] Step S104: Determine the target vector based on the maintenance method, the first data, the second data, and the third data.

[0040] Optionally, the intelligent evaluation system constructs different one-dimensional vectors depending on the maintenance method, and uses the constructed one-dimensional vectors as input to the neural network.

[0041] Step S105: Input the target vector into the target neural network to obtain the evaluation result of the maintenance of the target relay protection equipment.

[0042] In step S105, the target neural network is used to evaluate the maintenance status of the target relay protection equipment.

[0043] Optionally, the target neural network is a CNN (Convolutional Neural Network), a deep learning model specifically designed to process inputs with a grid structure, such as images and one-dimensional data sequences. By learning from historical maintenance data and results, the target neural network can evaluate the effectiveness of maintenance of the target relay protection equipment and output evaluation results, such as whether the maintenance exceeded the time limit, whether the personnel allocation was reasonable, and whether the cost-effectiveness was met.

[0044] Optionally, the CNN network is trained through the following steps: First, a large amount of relevant data before and after the maintenance of relay protection equipment needs to be collected, including equipment status data, maintenance data, cost data, etc., to form a one-dimensional vector. This data needs to be preprocessed, such as normalization, outlier removal, and feature selection, to ensure the quality and applicability of the input data. Second, according to different maintenance methods, appropriate data combinations are selected to form a one-dimensional vector. The composition of the vector may differ for different maintenance methods. This step ensures the relevance and effectiveness of the network input data. Next, the CNN network architecture is designed, including an input layer, convolutional layers, pooling layers, fully connected layers, and an output layer. Among them, the convolutional layer is used to extract features from the data, the pooling layer is used to reduce the number of parameters, and the fully connected layer is used to reduce the number of parameters. The connection layer is used for classification or regression prediction, and the output layer provides the final evaluation results. The preprocessed dataset is then divided into training, validation, and test sets. The training set is used to train the model, the validation set is used to tune the model parameters, and the test set is used to evaluate the model's generalization ability. Using the training set data, the weights and biases of the CNN network are adjusted through backpropagation to minimize the difference between the predicted and actual results (loss function). Using the validation set data, the hyperparameters of the CNN network (such as learning rate, batch size, number of network layers, etc.) are adjusted to find the optimal model configuration to improve the model's prediction accuracy. Finally, the trained CNN network is evaluated on the test set, and the model is further optimized based on the evaluation results to obtain the finally trained target neural network.

[0045] Optionally, the intelligent evaluation system inputs the constructed one-dimensional vector into a pre-trained CNN network. This network, after learning from a large number of maintenance cases, is able to intelligently evaluate the comprehensive benefits of maintenance and obtain the evaluation results of the maintenance of relay protection equipment.

[0046] Optionally, the evaluation results may include, but are not limited to, maintenance timeout, insufficient personnel, high personnel costs, poor maintenance results, low cost-effectiveness of the maintenance unit, and meeting expectations.

[0047] Based on the content of steps S101 to S105 above, it can be seen that in this application, firstly, the first data of the target relay protection equipment before maintenance is obtained, namely, the equipment information, operating information, and environmental information of the target relay protection equipment before maintenance. Secondly, the maintenance method of the target relay protection equipment is determined according to the equipment condition. Then, the second data of the target relay protection equipment during maintenance and the third data of the target relay protection equipment after maintenance are obtained. The second data is used to characterize the maintenance information obtained during the maintenance process, and the third data is used to characterize the equipment information, operating information, and environmental information of the target relay protection equipment after maintenance. Then, based on the maintenance method, the first data, the second data, and... The third data constructs the corresponding target vector, which is then input into the corresponding target neural network to obtain the evaluation result of the target relay protection equipment maintenance. This method involves jointly analyzing various data related to the maintenance methods of the relay protection equipment, including data collected before, during, and after maintenance, to obtain the evaluation result for each maintenance. This achieves automated evaluation of each maintenance of the relay protection equipment, promptly identifying deficiencies and providing guidance for future maintenance. This improves maintenance quality and solves the technical problems of poor maintenance quality caused by lax condition-based maintenance and incomplete data collection in existing technologies.

[0048] In one optional embodiment, the intelligent assessment system determines a first risk indicator and a first time limit for the target relay protection device before maintenance based on the first data. The first risk indicator is used to quantitatively assess the risk of the target relay protection device before maintenance, and the first time limit is used to characterize the remaining operating cycle of the target relay protection device before maintenance.

[0049] Optionally, the first risk indicator is the risk level of the equipment before maintenance calculated by the intelligent assessment system through the analysis of the first data. The risk indicator is usually a quantitative value used to assess the probability and potential impact of equipment failure. The first time limit is the remaining service life or remaining operating cycle of the equipment before maintenance calculated by the intelligent assessment system through the analysis of the first data.

[0050] Optionally, the intelligent assessment system calculates the risk index (denoted as R1) and remaining service life (i.e., the first time limit denoted as L1) of the relay protection equipment based on the first data obtained before maintenance.

[0051] As can be seen from the above, the intelligent assessment system calculates risk indicators and predicts the remaining operating cycle by acquiring the first data, avoiding the subjectivity and error of manual assessment, improving the reliability of the assessment results. Through accurate assessment of the status of relay protection equipment before maintenance, it not only helps the stable operation of the power system, but also effectively reduces operation and maintenance costs, improves the efficiency and effectiveness of maintenance work, and provides a data foundation for subsequent assessments.

[0052] In one optional embodiment, the intelligent evaluation system's maintenance methods include at least the following: a first maintenance method, wherein the first maintenance method is used to characterize the maintenance of all parts of the target relay protection equipment; a second maintenance method, wherein the second maintenance method is used to characterize the maintenance of some parts of the target relay protection equipment; a third maintenance method, wherein the third maintenance method is used to characterize the inspection of the target relay protection equipment according to preset requirements; and a fourth maintenance method, wherein the fourth maintenance method is used to characterize the maintenance performed under the normal operation of the target relay protection equipment.

[0053] Optionally, the maintenance methods include, but are not limited to, overall maintenance, component maintenance, conventional maintenance, and maintenance without power interruption.

[0054] Optionally, the first maintenance method is a comprehensive overhaul, which involves inspecting all parts of the relay protection equipment, including hardware checks, software updates, and functional tests. This method is suitable for situations where the equipment has experienced serious faults, significant performance degradation, or is nearing the end of its lifespan, ensuring that the equipment is restored to its optimal state. The second maintenance method is a partial overhaul, which only inspects the faulty or high-risk parts of the relay protection equipment. This avoids unnecessary intervention in healthy parts of the equipment and is suitable for localized functional abnormalities or component wear. It allows for targeted problem-solving while reducing maintenance time and costs. The third maintenance method is routine maintenance. Based on preset operating requirements and maintenance standards, the target relay protection equipment is inspected to ensure that the equipment meets specific working conditions. This method is applicable to situations where the equipment operating environment changes, external conditions affect the equipment, or the equipment status needs to be checked periodically. This ensures that the equipment continuously meets the working requirements and prevents potential faults. The fourth maintenance method is non-power-off maintenance, which is carried out while the relay protection equipment is operating normally. It does not require power outages, reducing the impact on the power system operation. This method is applicable to non-critical equipment maintenance, software upgrades, or verification of online monitoring data. It can maximize the protection of the continuous operation of the power system and reduce the economic losses caused by power outage maintenance.

[0055] As can be seen from the above, the intelligent evaluation system can intelligently determine the optimal maintenance method based on the condition of the relay protection equipment. The optimal maintenance method can solve the problem in a targeted manner, avoid unnecessary comprehensive maintenance, significantly reduce maintenance time, and improve the efficiency of maintenance work.

[0056] In one optional embodiment, the third data includes at least: power outage loss information, personnel cost information, target equipment information, target component information, and equipment or component information to be replaced, wherein the target equipment information is the equipment information to be installed in the target relay protection equipment, and the target component information is the component information to be installed in the target relay protection equipment.

[0057] Optionally, the maintenance data obtained by the intelligent evaluation system during the maintenance of relay protection equipment includes, but is not limited to, maintenance time, power outage time, number of personnel, power outage loss information, personnel cost information, equipment information to be installed in the target relay protection equipment, component information to be installed in the target relay protection equipment, and equipment or component information to be replaced.

[0058] Optionally, the equipment information to be installed in the target relay protection equipment includes at least the quantity and value of the equipment to be installed in the target relay protection equipment, the component information to be installed in the target relay protection equipment includes at least the quantity and value of the components to be installed in the target relay protection equipment, and the equipment or component information to be replaced includes at least the quantity and value of the equipment or component to be replaced.

[0059] As can be seen from the above, the intelligent assessment system can accurately calculate various costs in the maintenance process, including power outage losses, personnel costs, and material costs. By optimizing resource allocation and maintenance strategies, it can achieve the goal of minimizing costs. Through a comprehensive analysis of the maintenance costs and benefits of relay protection equipment, it not only improves the economic efficiency of power system operation and maintenance, but also further ensures the safe operation of the power system, while providing a data foundation for subsequent assessments.

[0060] In one optional embodiment, the intelligent evaluation system first determines a second risk index and a second time limit for the target relay protection equipment after maintenance based on third data. The second risk index is used to quantitatively assess the risk of the target relay protection equipment after maintenance, and the second time limit is used to characterize the remaining operating cycle of the target relay protection equipment after maintenance. Then, the maintenance cost of the target relay protection equipment is determined based on the maintenance method and the third data. Next, the maintenance cost-benefit of the target relay protection equipment is determined based on the maintenance cost, the first data, and the third data. The maintenance cost-benefit is used to evaluate the economic value of maintaining the target relay protection equipment. Finally, a target vector is determined based on the second data, the first risk index, the first time limit, the second risk index, the second time limit, and the maintenance cost-benefit.

[0061] Optionally, the intelligent evaluation system calculates the risk index (denoted as R2) and remaining service life (the second time limit, denoted as L2) of the relay protection equipment after maintenance based on the third data. It further calculates the maintenance cost of the relay protection equipment based on the determined maintenance method and the third data. The maintenance cost includes direct costs (such as labor and material costs) and indirect costs (such as power loss during power outages). Then, based on the maintenance cost, the first data, and the third data, the cost-effectiveness of the relay protection equipment maintenance is calculated. Cost-effectiveness is a key indicator for measuring the economic value of maintenance activities. Finally, a one-dimensional vector is determined based on the second data, the first risk index, the first time limit, the second risk index, the second time limit, and the cost-effectiveness of the maintenance. This one-dimensional vector is then input into a trained neural network to obtain the final evaluation result.

[0062] Optionally, the intelligent assessment system can evaluate the rationality of maintenance by comparing the risk indicators and remaining service life of the relay protection equipment before and after maintenance.

[0063] Optionally, when the maintenance method is overall maintenance, component maintenance, or conventional maintenance, the objective vector is: [maintenance time, power outage time, power outage loss, number of personnel, personnel cost, number of equipment to be installed, number of components to be installed, first risk indicator, second risk indicator, difference between the first and second risk indicators, first time limit, second time limit, difference between the first and second time limits, maintenance cost-effectiveness].

[0064] Optionally, when the maintenance method is a non-power-off maintenance method, the objective vector is: [maintenance time, number of personnel, personnel cost, first risk indicator, second risk indicator, difference between the first and second risk indicators, first time limit, second time limit, difference between the first and second time limits, maintenance cost-effectiveness].

[0065] Optionally, the intelligent evaluation system contains two pre-trained CNN networks, each evaluating a different one-dimensional vector.

[0066] Optionally, Figure 2 This is a schematic diagram of an optional assessment method for the maintenance of relay protection equipment according to an embodiment of this application, such as... Figure 2 As shown, the intelligent evaluation system first acquires relevant data of the relay protection equipment before maintenance, then calculates risk indicators and remaining service life based on the relevant data. Next, it acquires the maintenance method and maintenance data of the relay protection device during maintenance, and then acquires relevant data of the relay protection device after maintenance. Based on the acquired data, it calculates the post-maintenance risk indicators, remaining service life, maintenance cost, and maintenance unit cost-effectiveness. Then, it constructs a corresponding one-dimensional vector based on the acquired and calculated data. Finally, it inputs the one-dimensional vector into a trained CNN network to obtain the maintenance benefit evaluation.

[0067] As can be seen from the above, the intelligent assessment system can accurately assess the risk level and remaining operating cycle of relay protection equipment after maintenance, ensuring the safety of power system operation. By intelligently calculating maintenance costs, it can help operation and maintenance departments to rationally plan budgets, avoid over-investment, and achieve lean cost management. By calculating the cost-effectiveness of maintenance, it can ensure the economic value of maintenance activities, maximize the benefits of maintenance activities, and improve the economic efficiency of the power system. Furthermore, by jointly analyzing the relay protection maintenance methods and results, and conducting benefit assessments for each maintenance, it can promptly identify shortcomings in each maintenance, provide improvement references for the next maintenance, thereby optimizing the relay protection maintenance mode and improving the quality of subsequent maintenance.

[0068] In one optional embodiment, the intelligent assessment system uses power outage loss information, personnel cost information, equipment information of the equipment to be replaced, and component information of the parts to be replaced as fourth data. When the maintenance method is the first maintenance method, the maintenance cost is determined based on the fourth data and the target equipment information; when the maintenance method is the second maintenance method, the maintenance cost is determined based on the fourth data and the target component information; when the maintenance method is the third maintenance method, the maintenance cost is determined based on the power outage loss information and personnel cost information; and when the maintenance method is the fourth maintenance method, the maintenance cost is determined based on the personnel cost information.

[0069] Optionally, the calculation method for maintenance costs may differ depending on the maintenance method used.

[0070] Optionally, when the maintenance method is the first maintenance method, the maintenance cost C is determined based on the power outage loss, personnel costs, the remaining value of the equipment and / or components to be replaced, the number of equipment to be installed, and the value of the equipment to be installed, as shown in formula (1):

[0071] C = C 停电 +C 人员 +N1×C1-C 残值 (1)

[0072] Where C represents the maintenance cost, C 停电 For power outage losses, C 人员 Let N1 be the personnel cost, N1 be the number of devices to be installed, and C1 be the value of the devices to be installed. 残值 The remaining value of the equipment and / or parts to be replaced.

[0073] Optionally, when the maintenance method is the second maintenance method, the maintenance cost C is determined based on the power outage loss, personnel costs, the residual value of the equipment and / or components to be replaced, the number of components to be installed, and the value of the components to be installed, as shown in formula (2):

[0074] C = C 停电 +C 人员 +N2×C2-C 残值 (2)

[0075] Where N2 is the number of parts to be installed, and C2 is the value of the parts to be installed.

[0076] Optionally, when the maintenance method is the third maintenance method, the maintenance cost C is determined based on the power outage loss and personnel costs, as shown in formula (3):

[0077] C = C 停电 +C 人员 (3)

[0078] Optionally, when the maintenance method is the fourth maintenance method, the maintenance cost C is determined based on the personnel cost, as shown in formula (4):

[0079] C = C 人员 (4)

[0080] As can be seen from the above, the intelligent assessment system can accurately calculate maintenance costs based on different maintenance methods, including equipment replacement costs, component replacement costs, personnel man-hour costs, and indirect power loss costs, ensuring the accuracy of cost data. Through precise cost calculation, the intelligent assessment system helps power system operation and maintenance departments to rationally plan and allocate resources, avoid resource waste, improve resource utilization efficiency, and provide accurate cost data for power system operation and maintenance decisions. It can help managers select the most cost-effective solution from multiple maintenance options, achieving a balance between cost control and equipment safety.

[0081] In one optional embodiment, the intelligent assessment system first determines the target risk indicator based on the difference between the first risk indicator and the second risk indicator, then determines the target time limit based on the difference between the first time limit and the second time limit, and finally determines the maintenance cost-effectiveness based on the maintenance cost, the target risk indicator, and the target time limit.

[0082] Optionally, the intelligent assessment system determines the target risk index ΔR based on the difference between the first risk index and the second risk index, i.e., the change in the risk index before and after maintenance, as shown in formula (5):

[0083] ΔR=R2-R1 (5)

[0084] Among them, R1 is the first risk indicator and R2 is the second risk indicator.

[0085] Optionally, the intelligent evaluation system determines the target time limit ΔL based on the difference between the first time limit and the second time limit, that is, the change in the remaining service life before and after the overhaul, as shown in formula (6):

[0086] ΔL=L2-L1 (6)

[0087] Wherein, L1 is the first time limit and L2 is the second time limit.

[0088] Optionally, when both the target risk and the target time limit are greater than 0, the intelligent evaluation system determines the maintenance cost-benefit F based on the maintenance cost, the target risk indicator, and the target time limit, which represents the unit cost-benefit of this maintenance, as shown in formula (7):

[0089] F=ΔR×ΔL / C, ΔR>0&ΔL>0 (7)

[0090] Where C represents maintenance cost.

[0091] As can be seen from the above, the intelligent assessment system achieves accurate evaluation of the economic benefits of maintenance activities by quantitatively analyzing changes in risk and remaining operating cycle before and after maintenance, combined with maintenance costs. This provides a basis for power system operation and maintenance decisions. Based on the accurate economic benefit evaluation results, the intelligent assessment system can provide optimization suggestions for power system operation and maintenance decisions, such as recommending the best maintenance time and the most economical maintenance method. Furthermore, through automated assessment and intelligent analysis, it reduces the uncertainty of manual decision-making, improves the efficiency of operation and maintenance work, and shortens the maintenance cycle.

[0092] According to another aspect of this application, an evaluation device for the maintenance of relay protection equipment is also provided. Figure 3 This is a schematic diagram of an optional assessment device for the maintenance of relay protection equipment according to an embodiment of this application, such as... Figure 3 As shown, the assessment device for the maintenance of relay protection equipment includes: a first acquisition unit 301, a first determination unit 302, a second acquisition unit 303, a second determination unit 304, and a first processing unit 305.

[0093] Optionally, the first acquisition unit 301 is used to acquire first data of the target relay protection device before maintenance, wherein the first data is used to characterize the equipment information, operating information, and environmental information of the target relay protection device before maintenance; the first determination unit 302 is used to determine the maintenance method of the target relay protection device; the second acquisition unit 303 is used to acquire second data of the target relay protection device during maintenance and third data of the target relay protection device after maintenance, wherein the second data is used to characterize the maintenance information obtained by the target relay protection device during maintenance, and the third data is used to characterize the equipment information, operating information, and environmental information of the target relay protection device after maintenance; the second determination unit 304 is used to determine the target vector based on the maintenance method, the first data, the second data, and the third data; and the first processing unit 305 is used to input the target vector into the target neural network to obtain the evaluation result of the maintenance of the target relay protection device, wherein the target neural network is used to evaluate the maintenance status of the target relay protection device.

[0094] Optionally, the first acquisition unit 301 includes: a first determination subunit, used to determine a first risk indicator and a first time limit of the target relay protection equipment before maintenance based on the first data, wherein the first risk indicator is used to quantitatively assess the risk of the target relay protection equipment before maintenance, and the first time limit is used to characterize the remaining operating cycle of the target relay protection equipment before maintenance.

[0095] Optionally, the first determining unit 302 includes: a first maintenance mode, wherein the first maintenance mode is used to characterize the maintenance of all parts of the target relay protection equipment; a second maintenance mode, wherein the second maintenance mode is used to characterize the maintenance of some parts of the target relay protection equipment; a third maintenance mode, wherein the third maintenance mode is used to characterize the inspection of the target relay protection equipment according to preset requirements; and a fourth maintenance mode, wherein the fourth maintenance mode is used to characterize the maintenance performed under the normal operation of the target relay protection equipment.

[0096] Optionally, the second acquisition unit 303 includes: power outage loss information, personnel cost information, target equipment information, target component information, and equipment or component information to be replaced, wherein the target equipment information is the equipment information to be installed in the target relay protection equipment, and the target component information is the component information to be installed in the target relay protection equipment.

[0097] Optionally, the second determining unit 304 includes: a second determining subunit, a third determining subunit, a fourth determining subunit, and a fifth determining subunit. The second determining subunit is used to determine a second risk indicator and a second time limit for the target relay protection equipment after maintenance, based on third data. The second risk indicator is used to quantitatively assess the risk of the target relay protection equipment after maintenance, and the second time limit is used to characterize the remaining operating cycle of the target relay protection equipment after maintenance. The third determining subunit is used to determine the maintenance cost of the target relay protection equipment based on the maintenance method and the third data. The fourth determining subunit is used to determine the cost-effectiveness of maintenance for the target relay protection equipment based on the maintenance cost, the first data, and the third data. The cost-effectiveness of maintenance is used to assess the economic value of maintaining the target relay protection equipment. The fifth determining subunit is used to determine a target vector based on the second data, the first risk indicator, the first time limit, the second risk indicator, the second time limit, and the cost-effectiveness of maintenance.

[0098] Optionally, the third determining subunit includes: a first processing module, a first determining module, a second determining module, a third determining module, and a fourth determining module. The first processing module is used to use power outage loss information, personnel cost information, equipment information of the equipment to be replaced, and component information of the parts to be replaced as fourth data; the first determining module is used to determine the maintenance cost based on the fourth data and the target equipment information when the maintenance method is the first maintenance method; the second determining module is used to determine the maintenance cost based on the fourth data and the target component information when the maintenance method is the second maintenance method; the third determining module is used to determine the maintenance cost based on the power outage loss information and personnel cost information when the maintenance method is the third maintenance method; and the fourth determining module is used to determine the maintenance cost based on the personnel cost information when the maintenance method is the fourth maintenance method.

[0099] Optionally, the fourth determining subunit includes: a fifth determining module, a sixth determining module, and a seventh determining module. The fifth determining module is used to determine the target risk indicator based on the difference between the first risk indicator and the second risk indicator; the sixth determining module is used to determine the target time limit based on the difference between the first time limit and the second time limit; and the seventh determining module is used to determine the maintenance cost-effectiveness based on the maintenance cost, the target risk indicator, and the target time limit.

[0100] According to another aspect of this application, a computer-readable storage medium is also provided, wherein the computer-readable storage medium stores a computer program, wherein when the computer program is executed, the device in which the computer-readable storage medium is located performs the above-described evaluation method for the maintenance of relay protection equipment.

[0101] According to another aspect of this application, an electronic device is also provided, wherein the electronic device includes one or more processors and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors perform the above-described evaluation method for the maintenance of relay protection equipment.

[0102] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0103] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0104] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0105] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0106] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0107] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0108] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. An evaluation method for the maintenance of relay protection equipment, characterized in that, include: Acquire the first data of the target relay protection device before maintenance, wherein the first data is used to characterize the equipment information, operation information and environmental information of the target relay protection device before maintenance; Determine the maintenance method for the target relay protection equipment; Acquire second data of the target relay protection device during the maintenance process and third data of the target relay protection device after maintenance, wherein the second data is used to characterize the maintenance information obtained by the target relay protection device during the maintenance process, and the third data is used to characterize the equipment information, operation information and environmental information of the target relay protection device after maintenance; The target vector is determined based on the maintenance method, the first data, the second data, and the third data; The target vector is input into the target neural network to obtain the evaluation result of the maintenance of the target relay protection equipment, wherein the target neural network is used to evaluate the maintenance status of the target relay protection equipment; The method for evaluating the maintenance of relay protection equipment, after obtaining the first data of the target relay protection equipment before maintenance, further includes: determining the first risk indicator and the first time limit of the target relay protection equipment before maintenance based on the first data. Determining the target vector based on the maintenance method, the first data, the second data, and the third data includes: The second risk index and the second time limit of the target relay protection equipment after maintenance are determined based on the third data. The second risk index is used to quantitatively assess the risk of the target relay protection equipment after maintenance, and the second time limit is used to characterize the remaining operating cycle of the target relay protection equipment after maintenance. The maintenance cost of the target relay protection equipment is determined based on the maintenance method and the third data. The maintenance cost-effectiveness of the target relay protection equipment is determined based on the maintenance cost, the first data, and the third data, wherein the maintenance cost-effectiveness is used to assess the economic value of maintaining the target relay protection equipment. The target vector is determined based on the second data, the first risk indicator, the first time limit, the second risk indicator, the second time limit, and the maintenance cost-effectiveness.

2. The assessment method for the maintenance of relay protection equipment according to claim 1, characterized in that, The first risk indicator is used to quantitatively assess the risk of the target relay protection equipment before maintenance, and the first time limit is used to characterize the remaining operating cycle of the target relay protection equipment before maintenance.

3. The assessment method for the maintenance of relay protection equipment according to claim 2, characterized in that, The maintenance methods include at least the following: The first maintenance method is used to characterize the maintenance of all parts of the target relay protection equipment. The second maintenance method is used to characterize the maintenance of a portion of the target relay protection equipment. The third maintenance method is used to characterize the inspection of the target relay protection equipment according to preset requirements. The fourth maintenance method is used to characterize maintenance performed under normal operating conditions of the target relay protection equipment.

4. The assessment method for the maintenance of relay protection equipment according to claim 3, characterized in that, The third data includes at least: power outage loss information, personnel cost information, target equipment information, target component information, and equipment or component information to be replaced. The target equipment information is the equipment information to be installed in the target relay protection device, and the target component information is the component information to be installed in the target relay protection device.

5. The assessment method for the maintenance of relay protection equipment according to claim 4, characterized in that, The maintenance cost of the target relay protection equipment is determined based on the maintenance method and the third data, including: The power outage loss information, the personnel cost information, the equipment information of the equipment to be replaced, and the component information of the parts to be replaced are used as the fourth data. When the maintenance method is the first maintenance method, the maintenance cost is determined based on the fourth data and the target equipment information; When the maintenance method is the second maintenance method, the maintenance cost is determined based on the fourth data and the target component information; When the maintenance method is the third maintenance method, the maintenance cost is determined based on the power outage loss information and the personnel cost information; When the maintenance method is the fourth maintenance method, the maintenance cost is determined based on the personnel cost information.

6. The assessment method for the maintenance of relay protection equipment according to claim 1, characterized in that, Determining the cost-effectiveness of maintenance of the target relay protection equipment based on the maintenance cost, the first data, and the third data includes: The target risk indicator is determined based on the difference between the first risk indicator and the second risk indicator; The target time limit is determined based on the difference between the first time limit and the second time limit; The maintenance cost-effectiveness is determined based on the maintenance cost, the target risk indicator, and the target time limit.

7. An evaluation device for the maintenance of relay protection equipment, characterized in that, include: The first acquisition unit acquires the first data of the target relay protection device before maintenance, wherein the first data is used to characterize the equipment information, operation information and environmental information of the target relay protection device before maintenance; The first determining unit determines the maintenance method of the target relay protection equipment; The second acquisition unit acquires second data of the target relay protection device during the maintenance process and third data of the target relay protection device after maintenance. The second data is used to characterize the maintenance information obtained by the target relay protection device during the maintenance process, and the third data is used to characterize the equipment information, operation information and environmental information of the target relay protection device after maintenance. The second determining unit determines the target vector based on the maintenance method, the first data, the second data, and the third data; The first processing unit inputs the target vector into the target neural network to obtain an evaluation result of the maintenance of the target relay protection equipment, wherein the target neural network is used to evaluate the maintenance status of the target relay protection equipment; The first acquisition unit includes: a first determination subunit, used to determine the first risk indicator and the first time limit of the target relay protection equipment before maintenance based on the first data; The second determining unit includes: a second determining subunit, used to determine a second risk indicator and a second time limit for the target relay protection equipment after maintenance based on third data, wherein the second risk indicator is used to quantitatively assess the risk of the target relay protection equipment after maintenance, and the second time limit is used to characterize the remaining operating cycle of the target relay protection equipment after maintenance; a third determining subunit, used to determine the maintenance cost of the target relay protection equipment based on the maintenance method and the third data; a fourth determining subunit, used to determine the cost-effectiveness of maintenance of the target relay protection equipment based on the maintenance cost, the first data, and the third data, wherein the cost-effectiveness of maintenance is used to assess the economic value of maintaining the target relay protection equipment; and a fifth determining subunit, used to determine a target vector based on the second data, the first risk indicator, the first time limit, the second risk indicator, the second time limit, and the cost-effectiveness of maintenance.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein when the computer program is executed, the device in which the computer-readable storage medium is located performs the evaluation method for the maintenance of relay protection equipment as described in any one of claims 1 to 6.

9. An electronic device, characterized in that, It includes one or more processors and a memory, the memory being used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to perform the evaluation method for the maintenance of relay protection equipment as described in any one of claims 1 to 6.

Images