Assessment method and device for relay protection equipment maintenance

Abstract

The invention 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 steps that first data of target relay protection equipment before overhaul are acquired, and the first data are used for representing equipment information, operation information and environment information of the target relay protection equipment before overhaul; determining a maintenance mode of the target relay protection equipment; acquiring second data of the target relay protection equipment in the maintenance process 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 the target neural network to obtain an evaluation result of the maintenance of the target relay protection equipment. According to the invention, the technical problem of poor maintenance quality of relay protection caused by non-strict state maintenance, incomplete data acquisition and the like of relay protection equipment in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the field of electric power engineering technology, and in particular to an evaluation method and device for maintenance of relay protection equipment. Background Art

[0002] With the rapid expansion of power systems and the continuous advancement of technology, relay protection, as a key link to ensure 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 increasing scale of the power grid, relay protection equipment faces a more complex working environment and higher operating requirements. In the current relay protection maintenance management, there are a series of problems, such as the ambiguity of status maintenance standards and incomplete data collection. These problems not only affect the stability and safety of the power system, but also increase operating costs and limit the efficient management and maintenance of the power grid.

[0003] Traditionally, the maintenance of power system relay protection is mainly carried out in the form of regular maintenance. Although this method ensures the normal operation of equipment to a certain extent, with the rapid development of the power grid, the limitations of the regular maintenance model have gradually become apparent. The sharp increase in maintenance workload and the relative shortage of professional maintenance personnel have formed a severe contradiction, resulting in low maintenance efficiency and poor maintenance quality, and unable to effectively cope with the growing maintenance needs of the power system.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The present application provides an evaluation method and device for the maintenance of relay protection equipment, so as to at least solve the technical problems in the prior art such as lax maintenance of relay protection equipment status and incomplete data collection, which lead to poor maintenance quality of relay protection.

[0006] According to one aspect of the present application, there is provided an evaluation method for the maintenance of relay protection equipment, including: obtaining first data of a target relay protection equipment before maintenance, wherein the first data is used to characterize the equipment information, operation information, and environmental information of the target relay protection equipment before maintenance; determining the maintenance method of the target relay protection equipment; obtaining second data of the target relay protection equipment during the maintenance process 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 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; determining a target vector according to 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 device before maintenance, the evaluation method for the maintenance of the relay protection device also includes: determining a first risk indicator and a first time limit of the target relay protection device before maintenance based on the first data, wherein the first risk indicator is used to quantitatively evaluate 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.

[0008] Optionally, the maintenance method includes at least the following methods: a first maintenance method, wherein the first maintenance method is used to represent the maintenance of all parts of the target relay protection device; a second maintenance method, wherein the second maintenance method is used to represent the maintenance of some parts of the target relay protection device; a third maintenance method, wherein the third maintenance method is used to represent the inspection of the target relay protection device according to preset requirements; a fourth maintenance method, wherein the fourth maintenance method is used to represent the maintenance when the target relay protection device is operating normally.

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

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

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

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

[0013] According to another aspect of the present application, there is also provided an evaluation device for the maintenance of relay protection equipment, including: a first acquisition unit, which acquires first data of the target relay protection equipment before maintenance, wherein the first data is used to characterize the equipment information, operation information, and environmental information of the target relay protection equipment before maintenance; a first determination unit, which determines the maintenance method of the target relay protection equipment; a second acquisition unit, which acquires second data of the target relay protection equipment during the maintenance process and third data of the target relay protection equipment after the maintenance, wherein 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; a second determination unit, which determines a target vector according to the maintenance method, the first data, the second data, and the third data; a first processing unit, which inputs 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 the present application, a computer-readable storage medium is provided, wherein a computer program is stored in the computer-readable storage medium, wherein when the computer program runs, the device where the computer-readable storage medium is located executes the above-mentioned evaluation method for maintenance of relay protection equipment.

[0015] According to another aspect of the present application, an electronic device is also provided, wherein the electronic device 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 one or more processors, the one or more processors execute the above-mentioned evaluation method for maintenance of relay protection equipment.

[0016] In the present application, firstly, the first data of the target relay protection device before maintenance is obtained, that is, the equipment information, operation information, and environmental information of the target relay protection device before maintenance. Secondly, the maintenance method of the target relay protection device this time is determined according to the equipment situation. Then, 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 are obtained, 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. Then, the corresponding target direction is constructed according to the maintenance method, the first data, the second data, and the third data. Finally, the target vector is input into the corresponding target neural network to obtain the evaluation result of the maintenance of the target relay protection equipment, that is, by jointly analyzing the maintenance method of the relay protection equipment and the various data involved in the relay protection equipment before, during and after the maintenance, the evaluation result of each maintenance is finally obtained, which achieves the purpose of automatically evaluating each maintenance of the relay protection equipment, timely discovering the deficiencies in each maintenance, and providing guidance for the next maintenance, thereby achieving the technical effect of improving the maintenance quality, and further solving the technical problems in the prior art that the maintenance of relay protection equipment is not strict and the data collection is not comprehensive, which leads to poor maintenance quality of relay protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 is a flow chart of an optional evaluation method for relay protection equipment maintenance according to an embodiment of the present application;

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

[0020] Figure 3 It is a schematic diagram of an optional evaluation device for maintenance of relay protection equipment according to an embodiment of the present application. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work 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 and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0023] It should also be noted that the information and data collected by this application are authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of relevant data comply with the relevant laws, regulations and standards of the relevant regions, take necessary confidentiality measures, do not violate public order and good customs, and provide corresponding operation portals for users to choose to authorize or refuse. For example, an interface is set up between this system and relevant users or institutions. Before obtaining relevant information, it is necessary to send an acquisition request to the aforementioned user or institution through the interface, and obtain relevant information after receiving the consent information fed back by the aforementioned user or institution.

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

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

[0026] Figure 1 is a flow chart of an optional evaluation method for relay protection equipment maintenance according to an embodiment of the present application, such as Figure 1 As shown, the method comprises the following steps:

[0027] Step S101, obtaining first data of a target relay protection device before maintenance.

[0028] In step S101, the first data is used to represent the equipment information, operation information, and environment information of the target relay protection device before maintenance.

[0029] Optionally, the intelligent evaluation system first obtains relevant data of 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 signal change response time and environmental score.

[0031] It should be noted that service life refers to the operating time of the relay protection equipment since it was first installed and put into use. Service life is an important basis for evaluating 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 out, performance degrade, reliability decreases, and the possibility of failure increases; sampling error test refers to the difference between the actual value and the current, voltage and other signals collected by the relay protection equipment in the power system. Testing the sampling error is to ensure that the relay protection equipment can accurately capture the changes in the power system, which is crucial for the correct triggering of the protection function. Excessive sampling error may cause the protection to malfunction or refuse to operate, affecting the safe operation of the power system; SOE resolution refers to the accuracy of the device recording event time, usually in milliseconds, and high SOE Resolution is crucial for fault analysis and protection maintenance. It can help operation and maintenance personnel accurately understand the time and sequence of fault occurrence, so as to more accurately diagnose problems and improve protection strategies; remote signal change response time refers to the ability of relay protection equipment to send signals to the monitoring center or control center through the remote communication system. The remote signal change response time refers to the time from the device detecting a state change (such as circuit breaker opening and closing, alarm signal, etc.) to the successful transmission of the change signal to the monitoring center. A short response time means that the equipment can report state changes to the operation and maintenance personnel more quickly, which helps to take timely measures to reduce the impact of faults; the environmental score refers to a quantitative indicator for evaluating the equipment 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 life.

[0032] Step S102, determining the maintenance method of the target relay protection device.

[0033] Optionally, the intelligent assessment system determines the maintenance method before inspecting the relay protection device.

[0034] Optionally, the intelligent assessment system selects the most appropriate maintenance method based on the equipment status and operation and maintenance requirements.

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

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

[0037] Optionally, the intelligent evaluation system may record the maintenance information of the relay protection device during the maintenance process and the relevant data of the relay protection device after the maintenance.

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

[0039] Step S104, determining a target vector according to the maintenance method, the first data, the second data and the third data.

[0040] Optionally, the intelligent evaluation system constructs different one-dimensional vectors according to different maintenance methods, and uses the constructed one-dimensional vectors as inputs of the neural network.

[0041] Step S105, inputting the target vector into the target neural network to obtain an evaluation result of the maintenance of the target relay protection device.

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

[0043] Optionally, the target neural network is a CNN network (Convolutional Neural Network), which is a deep learning model specially designed to process inputs with a grid structure, such as images and one-dimensional data sequences. The target neural network can evaluate the effectiveness of the maintenance of the target relay protection equipment by learning historical maintenance data and results, and output evaluation results, such as whether the maintenance is overtime, whether the staffing is reasonable, and whether the cost-effectiveness meets the standards.

[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. These data need to be preprocessed, such as normalization, outlier removal, feature selection, etc., to ensure the quality and applicability of the input data. Secondly, according to different maintenance methods, a suitable data combination is selected to form a one-dimensional vector. For different maintenance methods, the composition of the vector may be different. This step ensures the pertinence and effectiveness of the network input data. Then, the CNN network architecture is designed, including input layer, convolution layer, pooling layer, fully connected layer and output layer. Among them, the convolution layer is used to extract features from the data, the pooling layer is used to reduce the number of parameters, and the full connection layer is used to extract features from the data. The connection layer is used for classification or regression prediction, and the output layer provides the final evaluation results. The preprocessed data set is then divided into a training set, a validation set, and a test set. The training set is used to train the model, the validation set is used to adjust the model parameters, and the test set is used to evaluate the generalization ability of the model. The training set data is used to adjust the weights and biases of the CNN network through the back propagation algorithm to minimize the difference between the predicted results and the actual results (loss function). The validation set data is used to adjust the hyperparameters of the CNN network (such as learning rate, batch size, number of network layers, etc.) to find the best model configuration to improve the prediction accuracy of the model. The trained CNN network is then evaluated on the test set, and the model is further optimized based on the evaluation results to finally obtain a trained target neural network.

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

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

[0047] Based on the contents of the above steps S101 to S105, it can be known that in the present application, the first data of the target relay protection device before maintenance is first obtained, that is, the equipment information, operation information, and environmental information of the target relay protection device before maintenance. Secondly, the maintenance method of the target relay protection device this time is determined according to the equipment situation. Then, 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 are obtained, 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. Then, according to the maintenance method, the first data, the second data, and the The third data constructs a corresponding target vector, and finally the target vector is input into the corresponding target neural network to obtain an evaluation result of the maintenance of the target relay protection equipment, that is, by jointly analyzing the maintenance method of the relay protection equipment and the various data involved before, during and after the maintenance of the relay protection equipment, and finally obtaining the evaluation result of each maintenance, it is achieved that each maintenance situation of the relay protection equipment is evaluated automatically, the deficiencies in each maintenance are discovered in time, and guidance is provided for the next maintenance, thereby achieving the technical effect of improving the maintenance quality, and further solving the technical problems in the prior art such as lax status maintenance of relay protection equipment and incomplete data collection that lead to poor maintenance quality of relay protection.

[0048] In an optional embodiment, the intelligent assessment system determines a first risk indicator and a first time limit of the target relay protection device before maintenance based on the first data, wherein 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 analysis of the first data. The risk indicator is generally a quantitative value used to assess the possibility 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 analysis of the first data.

[0050] Optionally, the intelligent assessment system calculates the risk index (denoted as R) of the relay protection device based on the first data obtained before the maintenance. 1 ) and the remaining service age (i.e. the first time limit is L 1 ).

[0051] From the above content, it can be seen that the intelligent assessment system calculates risk indicators and predicts the remaining operating cycle through the first data obtained, thus avoiding the subjectivity and errors of manual assessment and improving the reliability of the assessment results. By accurately assessing the status of relay protection equipment before maintenance, it not only contributes to 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 basis for subsequent evaluations.

[0052] In an optional embodiment, the maintenance mode of the intelligent assessment system includes at least the following modes: a first maintenance mode, wherein the first maintenance mode is used to represent the maintenance of all parts of the target relay protection device; a second maintenance mode, wherein the second maintenance mode is used to represent the maintenance of some parts of the target relay protection device; a third maintenance mode, wherein the third maintenance mode is used to represent the inspection of the target relay protection device according to preset requirements; a fourth maintenance mode, wherein the fourth maintenance mode is used to represent the maintenance under the normal operation of the target relay protection device.

[0053] Optionally, maintenance methods include but are not limited to overall maintenance method, component maintenance method, conventional maintenance method, and non-stop maintenance method.

[0054] Optionally, the first maintenance method is a comprehensive maintenance, which is to perform maintenance on all parts of the relay protection equipment, including hardware inspection, software update, function test, etc. It is suitable for situations where the equipment has serious faults, performance degradation is obvious, or the equipment is about to reach the end of its life, to ensure that the equipment as a whole is restored to the best state; the second maintenance method is partial maintenance, which is to only perform maintenance on the faulty parts or high-risk parts in the relay protection equipment, avoiding unnecessary intervention in healthy parts of the equipment, and is suitable for local functional abnormalities or component wear of the equipment. It can solve the problem in a targeted manner and reduce maintenance time and cost; the third maintenance method is routine maintenance, According to the preset operating requirements and maintenance standards, the target relay protection equipment is inspected to ensure that the equipment meets specific working conditions. It is applicable to situations where the equipment operating environment changes, external conditions affect or the equipment status needs to be confirmed regularly, to ensure that the equipment continues to meet the working requirements and prevent potential failures. The fourth maintenance method is non-power-off maintenance. Maintenance is carried out when the relay protection equipment is operating normally without power outages, reducing the impact on the operation of the power system. It is suitable for non-critical maintenance of equipment, software upgrades or verification of online monitoring data, and can maximize the protection of the continuous operation of the power system and reduce the economic losses caused by power outages for maintenance.

[0055] From the above content, it can be seen that the intelligent evaluation system intelligently determines the optimal maintenance method according to the situation 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 an optional embodiment, the third data includes at least: power outage loss information, personnel cost information, target equipment information, target component information, and information on equipment or components to be replaced, wherein the target equipment information is equipment information to be installed in the target relay protection device, and the target component information is component information to be installed in the target relay protection device.

[0057] Optionally, the maintenance data acquired by the intelligent assessment system during the maintenance of the 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 device includes at least the quantity and value of the equipment to be installed in the target relay protection device, the component information to be installed in the target relay protection device includes at least the quantity and value of the components to be installed in the target relay protection device, and the equipment or component information to be replaced includes at least the equipment quantity and value of the equipment or component to be replaced.

[0059] From the above content, it can be seen that the intelligent evaluation system can accurately calculate the 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 benefits of power system operation and maintenance, but also further ensures the safe operation of the power system, while providing a data basis for subsequent evaluations.

[0060] In an optional embodiment, the intelligent evaluation system first determines the second risk index and the second time limit of the target relay protection device after maintenance based on the third data, wherein the second risk index is used to quantitatively evaluate the risk of the target relay protection device after maintenance, and the second time limit is used to characterize the remaining operation cycle of the target relay protection device after maintenance. Then, the maintenance cost of the target relay protection device is determined based on the maintenance method and the third data, and then the maintenance cost-effectiveness of the target relay protection device is determined based on the maintenance cost, the first data and the third data, wherein the maintenance cost-effectiveness is used to evaluate the economic value of the maintenance of the target relay protection device. Finally, the 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-effectiveness.

[0061] Optionally, the intelligent assessment system calculates the risk index (denoted as R) of the relay protection device after maintenance based on the third data. 2 ) and the remaining service age (the second time limit is recorded as L 2), further calculate the maintenance cost of the relay protection equipment according to the determined maintenance method and the third data, the maintenance cost includes direct cost (such as labor and material costs) and indirect cost (such as power loss during power outages), then calculate the maintenance cost-effectiveness of the relay protection equipment according to the maintenance cost, the first data and the third data, the maintenance cost-effectiveness is the key indicator to measure the economic value of the maintenance activities, then determine a one-dimensional vector according to the second data, the first risk indicator, the first time limit, the second risk indicator, the second time limit and the maintenance cost-effectiveness, finally input the one-dimensional vector into the trained neural network to obtain the final evaluation result.

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

[0063] Optionally, when the maintenance method is the overall maintenance method, the component maintenance method and the conventional maintenance method, the target 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, the difference between the first risk indicator and the second risk indicator, first time limit, second time limit, the difference between the first time limit and the second time limit, maintenance cost-effectiveness].

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

[0065] Optionally, there are two trained CNN networks in the intelligent evaluation system, which respectively evaluate different one-dimensional vectors.

[0066] Optionally, Figure 2 is a schematic diagram of an optional evaluation method for relay protection equipment maintenance according to an embodiment of the present application, such as Figure 2 As shown in the figure, the intelligent evaluation system first obtains the relevant data of the relay protection equipment before maintenance, and then calculates the risk index and remaining service life based on the relevant data, then obtains the maintenance method of the relay protection device and the maintenance data during maintenance, and then obtains the relevant data of the relay protection device after maintenance, and calculates the risk index, remaining service life, maintenance cost and unit cost-effectiveness of maintenance based on the acquired data, and then constructs the corresponding one-dimensional vector based on the acquired data and the calculated data, and finally inputs the one-dimensional vector into the trained CNN network to obtain the maintenance benefit evaluation.

[0067] From the above content, it can be seen that the intelligent evaluation system can accurately evaluate the risk level and remaining operating cycle of the relay protection equipment after maintenance, ensure the safety of the power system operation, and through intelligent calculation of the maintenance cost, can help the operation and maintenance department to reasonably plan the budget, avoid over-investment, and achieve lean cost management. By calculating the maintenance cost-effectiveness, it can ensure the economic value of the maintenance activities, maximize the benefits of the maintenance activities, and improve the economic benefits of the power system. In addition, through the joint analysis of the relay protection maintenance methods and maintenance results, and the benefit evaluation of each maintenance, it can timely discover the deficiencies of each maintenance, and provide improvement references for the next maintenance, so as to optimize the relay protection maintenance mode and improve the subsequent maintenance quality.

[0068] In an 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 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 the personnel cost information; when the maintenance method is the fourth maintenance method, the maintenance cost is determined based on the personnel cost information.

[0069] Optionally, different maintenance methods correspond to different maintenance costs.

[0070] Optionally, when the maintenance mode is the first maintenance mode, the maintenance cost C is determined according to the power outage loss, personnel cost, the residual value of the equipment to be replaced and / or the parts 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 +N 1 ×C 1 -C 残值 (1)

[0072] Among them, C is the maintenance cost, C 停电 is the power outage loss, C 人员 is the personnel cost, N 1 is the number of devices to be installed, C 1 is the value of the equipment to be installed, C 残值 The residual value of the equipment to be replaced and / or the parts to be replaced.

[0073] Optionally, when the maintenance mode is the second maintenance mode, the maintenance cost C is determined according to the power outage loss, personnel cost, the remaining value of the equipment to be replaced and / or the 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 +N 2 ×C 2 -C 残值 (2)

[0075] Among them, N 2 is the number of components to be installed, C 2 is the value of the part to be installed.

[0076] Optionally, when the maintenance mode is the third maintenance mode, the maintenance cost C is determined according to the power outage loss and the personnel cost, as shown in formula (3):

[0077] C=C 停电 +C 人员 (3)

[0078] Optionally, when the maintenance mode is the fourth maintenance mode, the maintenance cost C is determined according to the personnel cost, as shown in formula (4):

[0079] C=C 人员 (4)

[0080] From the above content, it can be seen that the intelligent evaluation system can accurately calculate the maintenance cost according to different maintenance methods, including equipment replacement cost, component replacement cost, labor cost and indirect power loss cost, to ensure the accuracy of cost data. Through accurate cost calculation, the intelligent evaluation system helps the power system operation and maintenance department to rationally plan and allocate resources, avoid waste of resources, improve resource utilization efficiency, and provide accurate cost data for power system operation and maintenance decisions. It can help managers choose the most cost-effective solution from a variety of maintenance solutions and achieve a balance between cost control and equipment safety.

[0081] In an 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 indicator ΔR according to the difference between the first risk indicator and the second risk indicator, that is, the change value of the risk indicator before and after the maintenance, as shown in formula (5):

[0083] ΔR=R 2-R 1 (5)

[0084] Among them, R 1 is the first risk indicator, R 2 The second risk indicator.

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

[0086] ΔL=L 2 -L 1 (6)

[0087] Among them, L 1 is the first time limit, L 2 The second time limit.

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

[0089] F=ΔR×ΔL / C, ΔR>0&ΔL>0 (7)

[0090] Among them, C is the maintenance cost.

[0091] From the above content, it can be seen that the intelligent assessment system achieves an accurate assessment of the economic benefits of maintenance activities by quantitatively analyzing the risk changes and remaining operating cycle changes before and after maintenance, combined with the maintenance costs, and provides a basis for power system operation and maintenance decisions. Based on the accurate economic benefit assessment results, the intelligent assessment system can provide optimization suggestions for power system operation and maintenance decisions, such as recommending the best maintenance time, the most economical maintenance method, etc., and through automated evaluation 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 the present application, there is also provided an evaluation device for maintenance of relay protection equipment. Figure 3 is a schematic diagram of an optional evaluation device for relay protection equipment maintenance according to an embodiment of the present application, such as Figure 3 As shown, the evaluation device for relay protection equipment maintenance 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, a first acquisition unit 301 is used to acquire first data of a 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; a first determination unit 302 is used to determine the maintenance method of the target relay protection device; a second acquisition unit 303 is used to acquire second data of the target relay protection device during the maintenance process and third data of the target relay protection device after the maintenance, wherein the second data is used to characterize the maintenance information obtained during the maintenance process of the target relay protection device, and the third data is used to characterize the equipment information, operation information, and environmental information of the target relay protection device after maintenance; a second determination unit 304 is used to determine a target vector according to the maintenance method, the first data, the second data, and the third data; a first processing unit 305 is used to input the target vector into a target neural network to obtain an 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 device before maintenance based on the first data, wherein 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.

[0095] Optionally, the first determination unit 302 includes: a first maintenance mode, wherein the first maintenance mode is used to represent the maintenance of all parts of the target relay protection device; a second maintenance mode, wherein the second maintenance mode is used to represent the maintenance of some parts of the target relay protection device; a third maintenance mode, wherein the third maintenance mode is used to represent the inspection of the target relay protection device according to preset requirements; and a fourth maintenance mode, wherein the fourth maintenance mode is used to represent the maintenance when the target relay protection device is operating normally.

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

[0097] Optionally, the second determination unit 304 includes: a second determination subunit, a third determination subunit, a fourth determination subunit, and a fifth determination subunit. The second determination subunit is used to determine the second risk index and the second time limit of the target relay protection device after maintenance according to the third data, wherein the second risk index is used to quantitatively evaluate the risk of the target relay protection device after maintenance, and the second time limit is used to characterize the remaining operation cycle of the target relay protection device after maintenance; the third determination subunit is used to determine the maintenance cost of the target relay protection device according to the maintenance method and the third data; the fourth determination subunit is used to determine the maintenance cost-effectiveness of the target relay protection device according to the maintenance cost, the first data, and the third data, wherein the maintenance cost-effectiveness is used to evaluate the economic value of the maintenance of the target relay protection device; the fifth determination subunit is used to determine the target vector according to the second data, the first risk index, the first time limit, the second risk index, the second time limit, and the maintenance cost-effectiveness.

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

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

[0100] According to another aspect of the present application, a computer-readable storage medium is provided, wherein a computer program is stored in the computer-readable storage medium, wherein when the computer program is executed, the device where the computer-readable storage medium is located executes the above-mentioned evaluation method for maintenance of relay protection equipment.

[0101] According to another aspect of the present application, an electronic device is also provided, wherein the electronic device 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 execute the above-mentioned evaluation method for maintenance of relay protection equipment.

[0102] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0103] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description 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. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

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

[0106] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0107] If the integrated unit is implemented in the form of 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 the present 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, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0108] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for evaluating the maintenance of relay protection equipment, characterized in that: include: Acquire first data of the target relay protection device before maintenance, wherein the first data is used to characterize device information, operation information, and environmental information of the target relay protection device before maintenance; Determining the maintenance method of 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 the 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 device information, operation information, and environmental information of the target relay protection device after the maintenance; Determine a target vector according to the maintenance method, the first data, the second data and the third data; The target vector is input into a target neural network to obtain an 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.

2. The evaluation method for relay protection equipment maintenance according to claim 1, characterized in that: After obtaining the first data of the target relay protection device before maintenance, the evaluation method for the maintenance of the relay protection device further includes: Determine a first risk indicator and a first time limit of the target relay protection device before maintenance based on the first data, wherein 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.

3. The evaluation method for relay protection equipment maintenance according to claim 2, characterized in that: The maintenance methods include at least the following methods: A first maintenance mode, wherein the first maintenance mode is used to indicate that all parts of the target relay protection device are to be maintained; A second maintenance mode, wherein the second maintenance mode is used to indicate that a portion of the target relay protection device is to be repaired; A third maintenance mode, wherein the third maintenance mode is used to indicate that the target relay protection device is inspected according to preset requirements; A fourth maintenance mode, wherein the fourth maintenance mode is used to indicate that maintenance is performed when the target relay protection device is operating normally.

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

5. The evaluation method for relay protection equipment maintenance according to claim 4, characterized in that: Determining a target vector according to the maintenance method, the first data, the second data, and the third data includes: Determine a second risk index and a second time limit of the target relay protection device after maintenance according to the third data, wherein the second risk index is used to quantitatively evaluate the risk of the target relay protection device after maintenance, and the second time limit is used to characterize the remaining operation cycle of the target relay protection device after maintenance; Determining the maintenance cost of the target relay protection device according to the maintenance method and the third data; Determine the maintenance cost benefit of the target relay protection device according to the maintenance cost, the first data and the third data, wherein the maintenance cost benefit is used to evaluate the economic value of the maintenance of the target relay protection device; The target vector is determined according to the second data, the first risk indicator, the first time limit, the second risk indicator, the second time limit, and the maintenance cost-effectiveness.

6. The evaluation method for relay protection equipment maintenance according to claim 5, characterized in that: Determining the maintenance cost of the target relay protection device according to the maintenance mode and the third data includes: The power outage loss information, the personnel cost information, the equipment information of the equipment to be replaced, and the component information of the component to be replaced are used as fourth data; When the maintenance method is the first maintenance method, determining the maintenance cost according to the fourth data and the target device information; When the maintenance method is the second maintenance method, determining the maintenance cost according to the fourth data and the target component information; When the maintenance mode is the third maintenance mode, determining the maintenance cost according to the power outage loss information and the personnel cost information; When the maintenance method is the fourth maintenance method, the maintenance cost is determined according to the personnel cost information.

7. The evaluation method for relay protection equipment maintenance according to claim 5, characterized in that: Determining the maintenance cost benefit of the target relay protection device according to the maintenance cost, the first data, and the third data includes: determining a target risk indicator according to a difference between the first risk indicator and the second risk indicator; determining a target time limit according to a difference between the first time limit and the second time limit; The maintenance cost-effectiveness is determined according to the maintenance cost, the target risk indicator and the target time limit.

8. An evaluation device for relay protection equipment maintenance, characterized in that: include: A first acquisition unit is configured to acquire first data of a target relay protection device before maintenance, wherein the first data is used to represent device information, operation information, and environmental information of the target relay protection device before maintenance; A first determining unit determines a maintenance method of the target relay protection device; A second acquisition unit is configured to acquire second data of the target relay protection device during the maintenance process and third data of the target relay protection device after the 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 device information, operation information, and environmental information of the target relay protection device after the maintenance; a second determining unit, determining a target vector according to the maintenance method, the first data, the second data and the third data; The first processing unit inputs the target vector into a target neural network to obtain an 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.

9. 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 where the computer-readable storage medium is located executes the evaluation method for maintenance of relay protection equipment as described in any one of claims 1 to 7.

10. An electronic device, characterized in that: It includes one or more processors and a memory, wherein the memory is 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 execute the evaluation method for maintenance of relay protection equipment as described in any one of claims 1 to 7.

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