Transformer substation circuit breaker monitoring method and system based on multi-dimensional analysis

Abstract

The invention relates to the technical field of power equipment operation and maintenance, in particular to a transformer substation circuit breaker monitoring method and system based on multi-dimensional analysis, and aims to distinguish monitoring and optimize data processing according to the importance of a circuit breaker. The method comprises the following steps: identifying a circuit breaker monitoring node and a data processing node in a transformer substation circuit breaker monitoring network; performing monitoring task quantity estimation on the plurality of circuit breaker monitoring nodes one by one according to a predetermined circuit breaker priority, and obtaining the corresponding monitoring task quantity of the circuit breaker monitoring nodes in a preset time period; screening in the plurality of data processing nodes by taking a preset time period and the monitoring task load as screening conditions to obtain a plurality of primary data processing nodes; and in consideration of data transmission efficiency and data processing efficiency, performing comprehensive optimization on the plurality of primary data processing nodes to obtain an optimal data processing node, and taking the optimal data processing node as a data processing node corresponding to the circuit breaker monitoring node in a preset time period.

Description

Technical Field

[0001] The present invention relates to the technical field of operation and maintenance of power equipment, and particularly to a substation circuit breaker monitoring method and system based on multi-dimensional analysis. Background Technique

[0002] In modern power systems, substations play a crucial role. As a key equipment in substations, the main function of circuit breakers is to quickly cut off the circuit when faults such as overload and short circuit occur in the circuit, so as to protect power equipment and ensure the safe and stable operation of the power system. With the continuous expansion of the scale of the power system and the increasing requirement for power supply reliability, it has become particularly critical to effectively monitor the operating status of substation circuit breakers.

[0003] Currently, the substation circuit breaker monitoring network usually consists of multiple circuit breaker monitoring nodes and multiple data processing nodes. Each circuit breaker monitoring node corresponds to a circuit breaker. To comprehensively monitor the operating conditions of the circuit breaker, the circuit breaker monitoring node includes various types of sensors. For example, voltage transformers are used to monitor voltage conditions, current sensors are used to monitor current values, and temperature sensors are used to detect the temperature of relevant parts of the circuit breaker, etc. These sensors can collect a large amount of operating data, providing a basis for evaluating the status of the circuit breaker.

[0004] In the existing substation circuit breaker monitoring methods, there is a lack of distinction in the importance of different circuit breakers in the monitoring task arrangement. Usually, a unified monitoring mode is adopted for all circuit breakers, without considering the differences in the status and role of different circuit breakers in the power grid, resulting in insufficiently fine and timely monitoring of key circuit breakers, while too much unnecessary monitoring resources may be invested in some relatively less important circuit breakers, causing waste of resources and making it difficult to ensure the reliable operation of key equipment. At the same time, multiple data processing nodes need to share the data processing tasks from each monitoring node. However, the existing methods do not fully consider the optimization of data transmission efficiency and processing efficiency, resulting in a mismatch between the processing capacity of the data processing node and the assigned tasks, affecting the operation efficiency of the entire monitoring network, and further affecting the real-time monitoring and fault warning capabilities of the circuit breaker. Summary of the Invention

[0005] The present invention provides a substation circuit breaker monitoring method and system based on multi-dimensional analysis that can distinguish monitoring according to the importance of circuit breakers and optimize data processing, which can effectively solve the problems in the background technique.

[0006] To achieve the above object, in the first aspect, the present invention provides a substation circuit breaker monitoring method based on multi-dimensional analysis, including: Identifying circuit breaker monitoring nodes and data processing nodes in the substation circuit breaker monitoring network; Estimate the monitoring task volume for each of the multiple circuit breaker monitoring nodes one by one according to the pre-determined circuit breaker priority, and obtain the monitoring task volume corresponding to the circuit breaker monitoring node in the preset time period; Use the preset time period and the monitoring task volume as screening conditions to screen among multiple data processing nodes, and obtain multiple first-level data processing nodes; Considering the data transmission efficiency and data processing efficiency, perform comprehensive optimization among multiple first-level data processing nodes to obtain the optimal data processing node, and use it as the data processing node corresponding to the circuit breaker monitoring node in the preset time period.

[0007] Combined with the first aspect, in a possible design, the circuit breaker monitoring nodes correspond to the circuit breakers one by one, and the circuit breaker monitoring node includes at least a voltage transformer, a current sensor, a temperature sensor, and a vibration sensor.

[0008] Combined with the first aspect, in a possible design, estimate the monitoring task volume for each of the multiple circuit breaker monitoring nodes one by one according to the pre-determined circuit breaker priority, and obtain the monitoring task volume corresponding to the circuit breaker monitoring node in the preset time period, including: Based on historical operation data, predict the number of opening and closing operations of the circuit breaker in the preset time period; Determine the sampling frequency and duration of the circuit breaker monitoring node according to the number of opening and closing operations; According to the sampling frequency and duration, estimate the task volume of data collected by each sensor; The higher the priority, the priority is given to estimating the monitoring task volume.

[0009] Combined with the first aspect, in a possible design, the circuit breaker priority is calculated, and the calculation formula is as follows: ; Among them, P i represents the priority of circuit breaker i, C i represents the criticality score of circuit breaker i in the power grid, L i represents the load importance score borne by circuit breaker i, Fi represents the historical failure rate score of circuit breaker i; w1, w2, w3 are weight coefficients, satisfying w1 + w2 + w3 = 1, and are used to adjust the influence of each score on the priority.

[0010] Combined with the first aspect, in a possible design, the historical operation data includes at least the opening and closing time records of the circuit breaker, the specific date and time of each opening and closing operation.

[0011] Combined with the first aspect, in a possible design, use the preset time period and the monitoring task volume as screening conditions to screen among multiple data processing nodes, and obtain multiple first-level data processing nodes, including: Analyze the data processing capabilities of each data processing node within a preset time period, where the data processing capabilities are measured by the amount of data that can be processed per unit time; Determine whether a data processing node can handle the task volume of the circuit breaker monitoring node within a preset time period; If the data processing node can undertake the data processing tasks of the circuit breaker monitoring node within a preset time period, include it in the set of first-level data processing nodes; Perform the above judgment on all circuit breaker data processing nodes in sequence, and screen out all first-level data processing nodes that can meet the conditions.

[0012] Combined with the first aspect, in a possible design, considering data transmission efficiency and data processing efficiency, perform comprehensive optimization among multiple first-level data processing nodes to obtain the optimal data processing node, and use it as the data processing node corresponding to the circuit breaker monitoring node within a preset time period, including: Obtain the data transmission efficiency by calculating the data transmission time, and the calculation formula is as follows: ; Among them, represents the data transmission time of each first-level data processing node j, d j represents the data transmission distance between each first-level data processing node j and the circuit breaker monitoring node, Q represents the monitoring task volume, and a and b are constants determined according to the actual communication link situation; Obtain the data processing efficiency by calculating the data processing time, and the calculation formula is as follows: ; Among them, represents the time required for each first-level data processing node j to process data from the circuit breaker detection node, Q represents the monitoring task volume, represents the data processing capability; Comprehensively consider the data transmission efficiency and data processing efficiency, and calculate the comprehensive evaluation index using the following formula: ; Among them, Ej represents the comprehensive evaluation index, λ 1 and λ 2 are weight coefficients, satisfying λ 1 + λ 2 = 1, which is used to adjust the influence of data transmission time and data processing time on the comprehensive evaluation index; Calculate the comprehensive evaluation index for all first-level data processing nodes, select the first-level data processing node with the smallest value as the optimal data processing node, and use it as the data processing node corresponding to the circuit breaker monitoring node within a preset time period.

[0013] In a second aspect, the present invention further provides a substation circuit breaker monitoring system based on multi-dimensional analysis, including: A node identification module, configured to identify circuit breaker monitoring nodes and data processing nodes in the substation circuit breaker monitoring network; A task volume estimation module, configured to estimate the monitoring task volume for each circuit breaker monitoring node according to the pre-determined circuit breaker priority; A node screening module, configured to screen among multiple data processing nodes with a preset time period and monitoring task volume as screening conditions to obtain multiple primary data processing nodes; A comprehensive optimization module, configured to perform comprehensive optimization among multiple primary data processing nodes considering data transmission efficiency and data processing efficiency to obtain an optimal data processing node; A task allocation module, configured to use the optimal data processing node as the data processing node for the corresponding circuit breaker monitoring node within a preset time period.

[0014] Combined with the second aspect, in a possible design, the node identification module is further configured to: Determine all circuit breakers that need to be monitored in the substation, and configure corresponding circuit breaker monitoring nodes for each circuit breaker; the circuit breaker monitoring nodes at least include a voltage transformer, a current sensor, a temperature sensor, and a vibration sensor; Associate the circuit breaker monitoring nodes with the data processing nodes to establish the topological structure of the monitoring network; Configure the communication link between the circuit breaker monitoring nodes and the data processing nodes; Perform initialization settings for each circuit breaker monitoring node; Verify whether the connections between all circuit breaker monitoring nodes and data processing nodes are normal.

[0015] Combined with the second aspect, in a possible design, the task volume estimation module is further configured to: Based on historical operation data, predict the number of opening and closing operations of the circuit breaker within a preset time period; Determine the sampling frequency and duration of the circuit breaker monitoring node according to the number of opening and closing operations; Estimate the task volume of data collected by each sensor according to the sampling frequency and duration; the higher the priority, the prior to estimating the monitoring task volume.

[0016] Through the technical solution of the present invention, the following technical effects can be achieved: The present invention can effectively distinguish the importance of different circuit breakers by first identifying the circuit breaker monitoring nodes and data processing nodes in the monitoring network, and on this basis, estimating the monitoring task volume of the monitoring nodes according to the pre-determined circuit breaker priorities, thus avoiding the problem of resource waste caused by adopting a unified monitoring mode for all circuit breakers. For critical circuit breakers, more monitoring resources are allocated to achieve more refined and timely monitoring. For relatively less important circuit breakers, the input of monitoring resources is reasonably controlled to ensure the rational use of resources, improve the utilization efficiency of resources, and ensure the reliable operation of key equipment.

[0017] The present invention screens out the primary data processing nodes from multiple data processing nodes by using the preset time period and the monitoring task volume as screening conditions, and then comprehensively optimizes among the primary data processing nodes considering the data transmission efficiency and data processing efficiency to determine the data processing node corresponding to each circuit breaker monitoring node in the preset time period, fully considering the matching of the data processing capacity and the task, and avoiding the problem that the processing capacity of the data processing node does not match the assigned task. By reasonably allocating tasks, the processing efficiency of the data processing node is improved, thereby enhancing the operation efficiency of the entire monitoring network, strengthening the real-time monitoring and fault warning capabilities of the circuit breaker, being able to more timely and accurately detect the operation faults of the circuit breaker, and ensuring the safe and stable operation of the power system.

[0018] The present invention comprehensively considers multiple dimensions such as circuit breaker priorities, monitoring task volume, data transmission and processing efficiency, etc., making the monitoring method more scientific and reasonable. By adopting different monitoring task volumes for circuit breakers of different importance levels, it ensures the key attention to key equipment. By reasonably selecting data processing nodes, it ensures that data can be efficiently processed and analyzed. This multi-dimensional analysis method improves the accuracy and reliability of monitoring, reduces misjudgment or missed judgment situations caused by insufficient monitoring or improper data processing, and provides more powerful support for the operation and maintenance of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0020] Figure 1 It is the flowchart of the substation circuit breaker monitoring method based on multi-dimensional analysis in the present invention; Figure 2 It is the structure diagram of the substation circuit breaker monitoring system based on multi-dimensional analysis in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments.

[0022] The present application will be described below with reference to the accompanying drawings in the present application.

[0023] As Figure 1 shown, the substation circuit breaker monitoring method based on multi-dimensional analysis of the present invention specifically includes the following steps: Step S1: Identify the circuit breaker monitoring nodes and data processing nodes in the substation circuit breaker monitoring network; Step S2: Estimate the monitoring task volume for each of the multiple circuit breaker monitoring nodes one by one according to the pre-determined circuit breaker priority, and obtain the monitoring task volume corresponding to the circuit breaker monitoring nodes in the preset time period; Step S3: Use the preset time period and the monitoring task volume as screening conditions to screen among the multiple data processing nodes, and obtain multiple first-level data processing nodes; Step S4: Considering the data transmission efficiency and data processing efficiency, perform comprehensive optimization among the multiple first-level data processing nodes to obtain the optimal data processing node, and use it as the data processing node corresponding to the circuit breaker monitoring node in the preset time period.

[0024] In this embodiment, by estimating the monitoring task volume according to the pre-determined circuit breaker priority, the accurate distinction of the importance of different circuit breakers is realized, changing the previous unified monitoring mode for all circuit breakers, avoiding the problems of inaccurate and timely monitoring of key circuit breakers and excessive monitoring resources invested in secondary circuit breakers, ensuring the reliable operation of key equipment while avoiding resource waste; by first screening out the first-level data processing nodes according to the preset time period and the monitoring task volume, and then considering the data transmission and processing efficiency for comprehensive optimization to determine the optimal data processing node, the processing capacity of the data processing node is matched with the assigned tasks, optimizing the data transmission and processing efficiency, thereby improving the operation efficiency of the entire monitoring network, enhancing the real-time monitoring and fault warning capabilities of the circuit breaker, and helping to more effectively monitor the operation status of the circuit breaker and ensure the safe and stable operation of the power system.

[0025] In some embodiments of the present invention, for step S1, identifying the circuit breaker monitoring nodes and data processing nodes in the substation circuit breaker monitoring network includes the following content: Step S11: Determine all the circuit breakers that need to be monitored in the substation; each circuit breaker corresponds to a circuit breaker monitoring node, and each circuit breaker monitoring node is equipped with multiple sensors for collecting the operation data of the circuit breaker, providing data support for the subsequent circuit breaker status evaluation; wherein, the circuit breaker monitoring node at least includes: a) Voltage transformer: used to monitor the voltage at both ends of the circuit breaker and related circuits to ensure that the voltage is within the normal range; b) Current sensor: used to monitor the current value passing through the circuit breaker to determine whether there are abnormal conditions such as overload or short circuit; c) Temperature sensor: used to detect the temperature of related parts of the circuit breaker to prevent equipment damage caused by overheating; d) Vibration sensor: used to monitor the vibration of the circuit breaker during opening and closing operations and during operation to determine whether there are mechanical failures or abnormal vibrations; Step S12: Associate the circuit breaker monitoring nodes with the data processing nodes to establish the topological structure of the monitoring network; ensure that each circuit breaker monitoring node can transmit the data it collects to one or more data processing nodes; Step S13: Configure the communication link between the circuit breaker monitoring node and the data processing node; ensure the reliability and real-time performance of data transmission. The communication link can be wired or wireless, and the specific choice depends on the actual situation of the substation and communication requirements; Step S14: Perform initialization settings on each circuit breaker monitoring node, including but not limited to sensor calibration, data acquisition frequency setting, communication parameter configuration, etc.; ensure that all monitoring nodes can normally collect and transmit data within the preset time period; Step S15: Verify whether the connection between all circuit breaker monitoring nodes and data processing nodes is normal; perform data transmission tests to ensure that data can be accurately and timely transmitted from the monitoring node to the data processing node.

[0026] Through the above steps, the identification and configuration process of the monitoring nodes and data processing nodes in the substation circuit breaker monitoring network is detailedly planned to ensure that each circuit breaker can be accurately monitored. At the same time, by optimizing the infrastructure for data transmission and processing, including configuring multiple sensors to comprehensively collect data, establishing a reliable communication link, and performing initialization settings and connection verification, the accuracy and real-time performance of the monitoring network are improved, laying a solid foundation for subsequent circuit breaker status evaluation and fault warning.

[0027] In some embodiments of the present invention, for step S2, according to the pre-determined circuit breaker priority, the monitoring task amount of multiple circuit breaker monitoring nodes is estimated one by one to obtain the monitoring task amount corresponding to the circuit breaker monitoring node within the preset time period, including the following contents: Step S21: Based on historical operation data, predict the number of opening and closing operations of the circuit breaker within a preset time period. The historical operation data includes the opening and closing time records of the circuit breaker, the specific dates and times of each opening and closing operation, and other parameters related to the opening and closing operations, which are obtained from the substation monitoring system, data recording equipment, or relevant power system databases. Use data analysis techniques to analyze the collected historical data, establish a prediction model for the number of opening and closing operations, and capture the variation patterns and trends of the number of opening and closing operations over time. The prediction model can adopt various methods, such as time series analysis, regression analysis, machine learning algorithms, etc., depending on the characteristics of the data and the accuracy requirements of the prediction. For example, if the historical data shows obvious periodic changes, the time series analysis method is adopted; if the data is relatively complex and non-linear, consider using machine learning algorithms (such as random forest, support vector machine, etc.) for prediction.

[0028] Step S22: Determine the sampling frequency and duration of the circuit breaker monitoring node according to the number of opening and closing operations. The sampling frequency f is related to the number of opening and closing operations N of the circuit breaker. The more the number of opening and closing operations, the higher the sampling frequency should be to ensure that key data in each operation can be captured. Assuming the preset time period is T, the sampling frequency f can be determined by the following formula: ; where f represents the sampling frequency, N represents the number of opening and closing operations within the preset time period T; k is a proportionality coefficient representing the number of samples required for each opening and closing operation, and the value of k can be adjusted according to specific requirements, usually determined by experience or experimental data; The duration D refers to the total time for the monitoring node to collect data within the preset time period T. For circuit breakers with a large number of opening and closing operations, the duration should cover the entire preset time period T, while for circuit breakers with fewer operations, the duration can be appropriately shortened to save resources. The duration D can be determined by the following formula: ; where D represents the duration, T represents the preset time period, N represents the number of opening and closing operations within the preset time period T, and t op represents the average duration of each opening and closing operation, and α is an adjustment coefficient used to control the scaling ratio of the duration. The value of α is usually greater than 1 to ensure that all operations are covered; Step S23: Estimate the task volume of the data collected by each sensor according to the sampling frequency and duration; the higher the priority, the higher the priority for estimating the monitoring task volume. By preferentially estimating the monitoring task volume of high-priority circuit breakers, it is ensured that the monitoring resources of key equipment are fully guaranteed, and at the same time, unnecessary resources are not over-invested in secondary equipment, so as to achieve the optimal allocation and efficient utilization of resources. To achieve this, the priority of the circuit breaker can be quantified through a mathematical formula. Assume that the priority P of each circuit breaker i i can be calculated by the following formula: ; where C i represents the criticality score of circuit breaker i in the power grid (for example, the circuit breaker located at a critical node in the power grid has a higher score); L i represents the importance score of the load borne by circuit breaker i (for example, the circuit breaker bearing an important load has a higher score); F i represents the historical failure rate score of circuit breaker i (for example, the circuit breaker with a higher historical failure rate has a higher score); w1, w2, and w3 are weight coefficients that satisfy w1 + w2 + w3 = 1 and are used to adjust the influence of each score on the priority; Specifically, the estimation of the task volume usually includes the following aspects: S23a. Data volume estimation: Calculate the total amount of data that each sensor needs to collect within a preset time period according to the sampling frequency and duration; S23b. Storage requirement estimation: Estimate the storage space required to store these data according to the data volume and the size of each data point; S23c. Transmission requirement estimation: Estimate the time and bandwidth required for data transmission according to the data volume and the transmission rate; S23d. Processing requirement estimation: Estimate the time and computing resources required for data processing according to the data volume and the complexity of the processing algorithm; Through the above steps, by estimating the monitoring task volume according to the pre-determined priority of the circuit breaker, differential monitoring is realized, the disadvantages of the unified monitoring mode are eliminated, resources are reasonably allocated, key circuit breakers are focused on guaranteeing, resource waste is avoided, and the resource utilization efficiency is improved; at the same time, by determining the sampling frequency and duration according to historical operation data, the task volume of the data collected by the sensor can be estimated more scientifically, the monitoring accuracy is greatly improved, and reliable data support is provided for the state assessment and fault warning; and it can ensure the orderly and efficient monitoring, avoid problems caused by improper task arrangement, effectively guarantee the safe and stable operation of the power system, reduce the fault risk, and improve the system reliability.

[0029] In some embodiments of the present invention, for step S3, screening is performed among multiple data processing nodes with a preset time period and the monitoring task volume as screening conditions to obtain multiple first-level data processing nodes, including the following: Step S31: Analyze the data processing capabilities of each data processing node within the preset time period; the data processing capabilities can be measured by the amount of data that can be processed per unit time, assumed to be P capacity ; the data processing capabilities can be obtained through methods such as theoretical calculation, performance testing, and empirical evaluation; Step S32: Given the monitoring task volume Q of the circuit breaker monitoring node within the preset time period T, for a data processing node j, determine whether it can process the task volume of the circuit breaker monitoring node within the preset time period T, that is, determine whether it satisfies ; Step S33: If the above inequality is satisfied, then the data processing node j can undertake the data processing task of the circuit breaker monitoring node within the preset time period, and include it in the set of first-level data processing nodes; Step S34: Perform the above judgment on all data processing nodes in sequence to screen out all first-level data processing nodes that can meet the conditions; Through the above steps, a clear and quantifiable standard is provided for screening first-level data processing nodes. Screening according to this standard can ensure that the screened data processing nodes have the ability to process the task volume of the corresponding circuit breaker monitoring node within the preset time period, thereby ensuring the feasibility of the data processing task, avoiding including data processing nodes that cannot undertake the task in the subsequent process, and reducing the risk of task processing failure; by screening according to the actual monitoring task volume of the circuit breaker monitoring node, considering the task differences of different monitoring nodes, the selection of data processing nodes is more targeted, which helps to concentrate the data processing resources on the nodes that can effectively process the tasks, avoid the ineffective allocation and waste of resources, and improve the matching efficiency between the data processing resources and the monitoring tasks.

[0030] In some embodiments of the present invention, for step S4, considering the data transmission efficiency and data processing efficiency, comprehensive optimization is performed among multiple first-level data processing nodes to obtain the optimal data processing node, and use it as the data processing node corresponding to the circuit breaker monitoring node within the preset time period, including the following: Step S41: Calculate the data transmission efficiency: The data transmission efficiency can be measured by the data transmission rate, assumed to be v transfer , the data transmission distance d between each first-level data processing node j and the circuit breaker monitoring node j will affect the data transmission rate. The farther the transmission distance, the lower the transmission rate may be; the relationship between the data transmission rate and the transmission distance can be expressed as , where a and b are constants determined according to the actual communication link conditions, and the data transmission time can be obtained by monitoring the task volume Q divided by the data transmission rate , that is ; Step S42, calculate the data processing efficiency: The data processing efficiency can be measured by the time required for the data processing node j to process the data from the circuit breaker detection node. Assume it is , can be obtained by monitoring the task volume Q divided by the data processing capacity , that is ; Step S43, comprehensively consider the data transmission efficiency and the data processing efficiency, and define a comprehensive evaluation index E j , which can be expressed as:

[0031] Among them, λ 1 and λ 2 are weight coefficients, satisfying λ 1 + λ 2 = 1, which is used to adjust the influence of the data transmission time and the data processing time on the comprehensive evaluation index; λ 1 and λ 2 are flexibly adjusted according to the requirements of the actual scenario. For example, in a scenario with high real-time requirements, appropriately increase λ the weight of 1 to emphasize the importance of the data transmission time, while in a scenario with a large amount of data processing and higher requirements for processing capacity, increase λ the weight of 2; Step S44, calculate the comprehensive evaluation index Ej for all first-level data processing nodes, select the first-level data processing node with the smallest Ej as the optimal data processing node, and use it as the data processing node corresponding to the circuit breaker monitoring node in the preset time period.

[0032] Through the above steps, fully consider the influence of factors such as data transmission efficiency and data processing efficiency on the selection of data processing nodes. High data transmission efficiency can ensure that data is transmitted from the data source to the processing node in a timely and accurate manner, reduce data waiting time and transmission error rate, avoid data congestion and loss, and provide a good foundation for subsequent processing. And high data processing efficiency can enable data to be analyzed and processed quickly and accurately, and valuable results can be output in a timely manner to meet the timeliness requirements for data processing; by establishing calculation models for data transmission time and data processing time respectively, and then using the comprehensive evaluation index to organically combine the two, the entire optimization process has clear criteria and operability, can reduce the interference of human factors, make the evaluation results more objective and reliable, and ensure the accuracy of selecting the optimal data processing node.

[0033] In some solutions, multiple embodiments of the present application can be combined and the combined solution can be implemented. Optionally, some operations in the processes of the method embodiments are optionally combined, and / or the order of some operations is optionally changed. Moreover, the execution order between the steps of each process is only exemplary and does not constitute a limitation on the execution order between the steps. The steps can also be in other execution orders. It is not intended to indicate that the described execution order is the only order in which these operations can be performed. Those of ordinary skill in the art will think of various ways to reorder the operations described herein. Additionally, it should be noted that the process details involved in a certain embodiment herein are similarly applicable to other embodiments in a similar manner, or different embodiments can be used in combination.

[0034] Furthermore, some steps in the method embodiments can be equivalently replaced with other possible steps. Or, some steps in the method embodiments can be optional and can be deleted in some usage scenarios. Or, other possible steps can be added to the method embodiments. Moreover, the method embodiments can be implemented separately or in combination.

[0035] As Figure 2 shown, the present invention also provides a substation circuit breaker monitoring system based on multi-dimensional analysis, which specifically includes the following modules; Based on the above method, the system can be described as the following several modules: A node identification module, configured to identify the circuit breaker monitoring nodes and data processing nodes in the substation circuit breaker monitoring network; A task volume estimation module, configured to estimate the monitoring task volume for each circuit breaker monitoring node according to the pre-determined circuit breaker priority; A node screening module, configured to screen among multiple data processing nodes with a preset time period and monitoring task volume as the screening conditions to obtain multiple first-level data processing nodes; A comprehensive optimization module, configured to perform comprehensive optimization among multiple first-level data processing nodes considering data transmission efficiency and data processing efficiency to obtain the optimal data processing node; A task allocation module, configured to use the optimal data processing node as the data processing node for the corresponding circuit breaker monitoring node within a preset time period.

[0036] In this embodiment, through the node identification module and the task volume estimation module, the system can prioritize according to the importance of the circuit breakers, estimate the monitoring task volume of each circuit breaker, so as to achieve refined monitoring of key circuit breakers, avoid resource waste, and ensure the reliable operation of key equipment; the node screening module and the comprehensive optimization module screen out appropriate data processing nodes through a preset time period and the monitoring task volume, and comprehensively consider the data transmission efficiency and data processing efficiency to optimize the node selection and improve the operation efficiency of the entire monitoring network; the task allocation module matches the optimal data processing node with the circuit breaker monitoring node to ensure that the data processing capacity matches the task requirements, and improve the real-time monitoring and fault warning capabilities; through multi-dimensional analysis and optimized allocation, the system improves the accuracy, efficiency and reliability of substation circuit breaker monitoring, while reducing resource waste, providing a strong guarantee for the safe and stable operation of the power system.

[0037] In a specific implementation, as an embodiment, the node identification module is further configured to: Determine all the circuit breakers that need to be monitored in the substation, and configure a corresponding circuit breaker monitoring node for each circuit breaker; the circuit breaker monitoring node includes at least a voltage transformer, a current sensor, a temperature sensor and a vibration sensor; Associate the circuit breaker monitoring node with the data processing node to establish the topological structure of the monitoring network; Configure the communication link between the circuit breaker monitoring node and the data processing node; ensure the reliability and real-time performance of data transmission. The communication link can be wired or wireless, and the specific selection depends on the actual situation and communication requirements of the substation; Perform initialization settings on each circuit breaker monitoring node, including but not limited to sensor calibration, data acquisition frequency setting, communication parameter configuration, etc.; Verify whether the connections between all circuit breaker monitoring nodes and data processing nodes are normal.

[0038] In this embodiment, through the node identification module, the circuit breaker monitoring nodes and data processing nodes in the substation circuit breaker monitoring network are identified and configured to ensure that each circuit breaker has a corresponding monitoring node and establish an effective association with the data processing node to form a reliable monitoring network topological structure; by configuring an appropriate communication link, the reliability and real-time performance of data transmission are ensured, and at the same time, initialization settings are performed on each monitoring node, such as sensor calibration and data acquisition frequency setting, so as to ensure that the entire system can operate efficiently and accurately within a preset time period, improve the fineness and timeliness of the key circuit breaker status monitoring, optimize resource allocation, and enhance the overall monitoring efficiency and the safety of the power system.

[0039] In a specific implementation, as an embodiment, the task volume estimation module is further configured to: Predict the number of opening and closing operations of the circuit breaker within a preset time period based on historical operation data; Determine the sampling frequency and duration of the monitoring node of the circuit breaker according to the number of opening and closing operations; Estimate the task volume of data collected by each sensor according to the sampling frequency and duration; The higher the priority, the prior to estimating the monitoring task volume.

[0040] In this embodiment, the task volume estimation module fully considers the status differences of different circuit breakers in the power grid, and gives priority to ensuring the estimation of the monitoring task volume of key circuit breakers, so that the monitoring resources can be accurately allocated to key equipment to avoid waste of resources; at the same time, by scientifically and reasonably estimating the task volume, it provides an accurate basis for subsequent screening and optimizing data processing nodes, helps to improve the data processing efficiency of the entire monitoring network, enhances the real-time monitoring and fault warning capabilities of the circuit breaker, and effectively ensures the safe and stable operation of the power system.

[0041] This embodiment divides the functional modules according to the above method examples. For example, each functional module can be corresponding to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware. It should be noted that the division of modules in this embodiment is illustrative, only a logical function division, and there may be other division methods in actual implementation.

[0042] The various change modes and specific embodiments of the substation circuit breaker monitoring method based on multi-dimensional analysis in the foregoing Embodiment 1 are equally applicable to the substation circuit breaker monitoring system based on multi-dimensional analysis in this embodiment. Through the foregoing detailed description of the substation circuit breaker monitoring method based on multi-dimensional analysis, those skilled in the art can clearly know the implementation method of the substation circuit breaker monitoring system based on multi-dimensional analysis in this embodiment. Therefore, for the sake of simplicity of the specification, it will not be elaborated here.

[0043] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art of this industry should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A substation circuit breaker monitoring method based on multidimensional analysis, characterized in that: include: Identifying circuit breaker monitoring nodes and data processing nodes in a substation circuit breaker monitoring network; According to the predetermined circuit breaker priority, the monitoring task amount of multiple circuit breaker monitoring nodes is estimated one by one to obtain the monitoring task amount corresponding to the circuit breaker monitoring node in the preset time period; Using the preset time period and the monitoring task amount as screening conditions, screening is performed among multiple data processing nodes to obtain multiple primary data processing nodes; Taking data transmission efficiency and data processing efficiency into consideration, a comprehensive optimization is performed on the multiple primary data processing nodes to obtain the optimal data processing node, which is used as the data processing node corresponding to the circuit breaker monitoring node in the preset time period.

2. The substation circuit breaker monitoring method based on multidimensional analysis according to claim 1, characterized in that: The circuit breaker monitoring node corresponds to the circuit breaker one by one, and the circuit breaker monitoring node at least includes a voltage transformer, a current sensor, a temperature sensor and a vibration sensor.

3. The substation circuit breaker monitoring method based on multidimensional analysis according to claim 2 is characterized in that: According to the predetermined circuit breaker priorities, the monitoring task amounts of the multiple circuit breaker monitoring nodes are estimated one by one to obtain the monitoring task amounts corresponding to the circuit breaker monitoring nodes in the preset time period, including: Based on historical operation data, predict the number of opening and closing operations of the circuit breaker in the preset time period; Determine the sampling frequency and duration of the circuit breaker monitoring node according to the number of opening and closing operations; According to the sampling frequency and duration, the amount of data collected by each sensor is estimated; The higher the priority, the priority is given to estimating the monitoring task volume.

4. The substation circuit breaker monitoring method based on multidimensional analysis according to claim 1, characterized in that: The circuit breaker priority is calculated using the following formula: ； Among them, P i Indicates the priority of circuit breaker i, C i represents the criticality score of circuit breaker i in the power grid, L i represents the load importance score of circuit breaker i, F i represents the historical failure rate evaluation of circuit breaker i; w1, w2, w3 are weight coefficients, satisfying w1+w2+w3=1, which are used to adjust the impact of each score on the priority.

5. The substation circuit breaker monitoring method based on multidimensional analysis according to claim 3 is characterized in that: The historical operation data at least includes the opening and closing time record of the circuit breaker, and the specific date and time of each opening and closing operation.

6. The substation circuit breaker monitoring method based on multidimensional analysis according to any one of claims 1 to 5, characterized in that: The preset time period and the monitoring task amount are used as screening conditions, and screening is performed among the multiple data processing nodes to obtain multiple primary data processing nodes, including: Analyzing the data processing capacity of each of the data processing nodes within a preset time period, wherein the data processing capacity is obtained by calculating the amount of data that can be processed per unit time; Determining whether one of the data processing nodes is capable of processing the task volume of the circuit breaker monitoring node within a preset time period; If the data processing node can undertake the data processing task of the circuit breaker monitoring node within the preset time period, it is included in the first-level data processing node set; The above judgment is performed on all the data processing nodes in turn to screen out all the primary data processing nodes that can meet the conditions.

7. The substation circuit breaker monitoring method based on multidimensional analysis according to any one of claims 1 to 5, characterized in that: Considering the data transmission efficiency and data processing efficiency, a comprehensive optimization is performed on the multiple primary data processing nodes to obtain the optimal data processing node, which is used as the data processing node corresponding to the circuit breaker monitoring node in the preset time period, including: The data transmission efficiency is obtained by calculating the data transmission time, and the calculation formula is as follows: ； in, represents the data transmission time of each primary data processing node j, d j represents the data transmission distance between each primary data processing node j and the circuit breaker monitoring node, Q represents the monitoring task amount, and a and b are constants determined according to the actual communication link conditions; The data processing efficiency is obtained by calculating the data processing time, and the calculation formula is as follows: ； in, represents the time required for each primary data processing node j to process the data from the circuit breaker monitoring node, Q represents the monitoring task volume, Expressed as data processing capability; The data transmission efficiency and the data processing efficiency are comprehensively considered, and the comprehensive evaluation index is calculated using the following formula: ； Among them, Ej represents the comprehensive evaluation index, λ 1 and λ 2 is the weight coefficient, satisfying λ 1+ λ 2=1, used to adjust the impact of data transmission time and data processing time on comprehensive evaluation indicators; The comprehensive evaluation index of all the primary data processing nodes is calculated, and the smallest primary data processing node is selected as the optimal data processing node, which is used as the data processing node corresponding to the circuit breaker monitoring node in the preset time period.

8. A substation circuit breaker monitoring system based on multidimensional analysis, characterized in that: include: A node identification module, used to identify circuit breaker monitoring nodes and data processing nodes in a substation circuit breaker monitoring network; A task volume estimation module is used to estimate the monitoring task volume of each circuit breaker monitoring node according to a predetermined circuit breaker priority; A node screening module is used to screen multiple data processing nodes based on a preset time period and monitoring task volume as screening conditions to obtain multiple primary data processing nodes; Comprehensive optimization module, which considers data transmission efficiency and data processing efficiency, performs comprehensive optimization among multiple primary data processing nodes, and obtains the optimal data processing node; The task allocation module is used to use the optimal data processing node as the data processing node of the corresponding circuit breaker monitoring node within a preset time period.

9. The substation circuit breaker monitoring system based on multidimensional analysis according to claim 8, characterized in that: The node identification module is further configured as follows: Determine all circuit breakers that need to be monitored in the substation, and configure a corresponding circuit breaker monitoring node for each circuit breaker; the circuit breaker monitoring node includes at least a voltage transformer, a current sensor, a temperature sensor, and a vibration sensor; Associating the circuit breaker monitoring nodes with the data processing nodes to establish the topology of the monitoring network; Configure the communication link between the circuit breaker monitoring node and the data processing node; Initialize and set each circuit breaker monitoring node; Verify that the connections between all circuit breaker monitoring nodes and data processing nodes are normal.

10. The substation circuit breaker monitoring system based on multidimensional analysis according to any one of claims 8 and 9, characterized in that: The task volume estimation module is further configured as follows: Based on historical operation data, predict the number of opening and closing operations of the circuit breaker in the preset time period; Determine the sampling frequency and duration of the circuit breaker monitoring node according to the number of opening and closing operations; According to the sampling frequency and duration, the task volume of each sensor collecting data is estimated; the higher the priority, the priority is given to estimating the monitoring task volume.

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