Method and system for testing primary and secondary fusion complete column switch

Abstract

The invention discloses a test method and system for a primary and secondary fusion complete column switch, and relates to the technical field of distribution network automation equipment detection, and the method comprises the steps: obtaining historical meteorological data of a target region and performance parameter data corresponding to the primary and secondary fusion complete column switch, so as to create a simulation model; the operation states of the primary and secondary fusion complete column switch under different meteorological conditions are simulated and tested in the simulation model; acquiring actual operation parameters of the primary and secondary fusion complete column switch in real time to construct an environment correction factor; performing parameter tuning on the simulation model by using the environment correction factor and iterating the simulation test process; and according to a target equipment loss rule curve output by the simulation model, determining a maintenance strategy of the primary and secondary fusion complete column switch, and ensuring reliable operation of the primary and secondary fusion complete equipment.

Description

Technical Field

[0001] The present invention relates to the field of distribution network automation equipment detection, and in particular to a testing method and system for a primary-secondary integrated pole-mounted switch. Background Art

[0002] In recent years, as power grids have implemented synchronized planning, design, and construction of primary and secondary distribution systems, distribution network equipment has been deployed on-site through integrated primary and secondary design, integration, and overall bidding. This has fostered the rapid development of integrated primary and secondary distribution technology, improving the operational performance, maintenance quality, and efficiency of distribution equipment. Currently, this integration has reached the point where, for example, small-signal electronic voltage and current transformers (VCTs) are deeply integrated with switchgear. Consequently, the operational safety of pole-mounted switches, as critical equipment, is directly linked to the stability and security of the power grid.

[0003] Testing integrated primary and secondary pole-mounted switches is crucial for ensuring their stable and reliable operation. Existing testing methods are limited to verifying the device's basic electrical performance, resulting in poorly accurate results and making it difficult to formulate comprehensive maintenance strategies.

[0004] It can be seen that how to effectively test the integrated primary and secondary pole-mounted switches and improve the stability of power equipment has become a technical problem that needs to be urgently solved by technical personnel in this field. Summary of the Invention

[0005] The present invention provides a testing method and system for a complete set of primary and secondary integrated pole-mounted switches, which solves the problem of how to simulate the operating status of the equipment under different meteorological conditions, and effectively maintain the equipment according to the equipment loss law determined by the simulation results, thereby improving the reliability of the operation of the complete set of primary and secondary integrated equipment.

[0006] To solve the above technical problems, an embodiment of the present invention provides a method for testing a primary-secondary integrated pole-mounted switch, comprising:

[0007] Obtain historical meteorological data for the target area and performance parameter data corresponding to the primary and secondary integrated pole-mounted switches to create a simulation model;

[0008] Simulating and testing the operating status of the primary and secondary integrated pole-mounted switch under different meteorological conditions in the simulation model;

[0009] Real-time collection of actual operating parameters of the primary and secondary integrated pole-mounted switch to construct an environmental correction factor;

[0010] Optimizing parameters of the simulation model using the environmental correction factor and iterating the simulation test process;

[0011] A maintenance strategy for the primary and secondary integrated pole-mounted switch is determined based on a target equipment loss law curve output by the simulation model.

[0012] Furthermore, the creation process of the simulation model includes:

[0013] pre-training a weather-performance mapping model based on the historical weather data and the performance parameter data;

[0014] The weather-performance mapping model is integrated into simulation software to obtain the simulation model.

[0015] Furthermore, the step of integrating the weather-performance mapping model into simulation software to obtain the simulation model further includes:

[0016] Randomly input meteorological data values ​​into the simulation software to monitor the initial fluctuations in the performance of the primary and secondary integrated pole-mounted switches during the simulation run;

[0017] The initial performance fluctuation is compared with pre-collected measured data, and the parameters of the weather-performance mapping model are dynamically adjusted to obtain the simulation model.

[0018] Furthermore, the simulation test of the operating state of the primary and secondary integrated pole-mounted switch under different meteorological conditions in the simulation model includes:

[0019] In the simulation model, extreme weather scenarios and typical weather scenarios are defined;

[0020] In an extreme weather scenario, simulating a first operating state of the primary-secondary integrated pole-mounted switch to obtain first performance fluctuation data;

[0021] Under a typical meteorological scenario, the second operating state of the primary-secondary integrated pole-mounted switch is simulated to obtain second performance fluctuation data.

[0022] Furthermore, after simulating and testing the operating state of the primary and secondary integrated pole-mounted switch under different meteorological conditions in the simulation model, the method further includes:

[0023] Performing feature extraction on the first performance fluctuation data and the second performance fluctuation data respectively to obtain key features reflecting the relationship between various meteorological conditions and performance loss of the pole-mounted switch;

[0024] Inputting the key features into a pre-trained loss prediction model, and quantitatively analyzing the contribution of each key feature to the performance loss rate of the pole-mounted switch based on the output results of the loss prediction model;

[0025] According to the contribution, an initial equipment loss law curve is fitted.

[0026] Furthermore, the real-time collection of actual operating parameters of the primary and secondary integrated pole-mounted switch to construct an environmental correction factor includes:

[0027] Use the deployed sensor equipment to collect electrical performance data, mechanical performance data and environmental data of the pole-mounted switch in real time;

[0028] A weight analysis is performed on the degree to which the environmental data affects the electrical performance and mechanical performance of the pole-mounted switch, and the environmental correction factor is constructed based on the weight analysis result.

[0029] Furthermore, the maintenance strategy of the primary and secondary integrated pole-mounted switch is determined based on the target equipment loss law curve output by the simulation model, including:

[0030] After completing the iterative update of the simulation test process, a target device loss regularity curve output by the simulation model is obtained;

[0031] Formulate a corresponding maintenance plan based on the target equipment loss law curve, and quantitatively calculate the corresponding maintenance cycle based on the switch opening and closing frequency in the actual operating parameters;

[0032] The maintenance strategy is determined based on the maintenance plan and maintenance cycle.

[0033] Another embodiment of the present invention provides a test system for a primary and secondary integrated pole-mounted switch, comprising:

[0034] The parameter acquisition module is used to obtain the historical meteorological data of the target area and the performance parameter data corresponding to the primary and secondary fusion pole-mounted switches to create a simulation model;

[0035] A simulation module, used for simulating and testing the operating status of the primary and secondary integrated pole-mounted switch under different meteorological conditions in the simulation model;

[0036] A correction factor construction module is used to collect actual operating parameters of the primary and secondary integrated pole-mounted switch in real time to construct an environmental correction factor;

[0037] A tuning module, configured to use the environmental correction factor to perform parameter tuning on the simulation model and iterate the simulation test process;

[0038] A strategy formulation module is used to determine the maintenance strategy of the primary and secondary integrated pole-mounted switch according to the target equipment loss law curve output by the simulation model.

[0039] Furthermore, the parameter acquisition module is specifically used to:

[0040] pre-training a weather-performance mapping model based on the historical weather data and the performance parameter data;

[0041] The weather-performance mapping model is integrated into simulation software to obtain the simulation model.

[0042] Furthermore, the parameter acquisition module is further used to:

[0043] Randomly input meteorological data values ​​into the simulation software to monitor the initial fluctuations in the performance of the primary and secondary integrated pole-mounted switches during the simulation run;

[0044] The initial performance fluctuation is compared with pre-collected measured data, and the parameters of the weather-performance mapping model are dynamically adjusted to obtain the simulation model.

[0045] Furthermore, the simulation module is specifically used to:

[0046] In the simulation model, extreme weather scenarios and typical weather scenarios are defined;

[0047] In an extreme weather scenario, simulating a first operating state of the primary-secondary integrated pole-mounted switch to obtain first performance fluctuation data;

[0048] Under a typical meteorological scenario, the second operating state of the primary-secondary integrated pole-mounted switch is simulated to obtain second performance fluctuation data.

[0049] Furthermore, the system also includes a curve fitting module, specifically configured to:

[0050] Performing feature extraction on the first performance fluctuation data and the second performance fluctuation data respectively to obtain key features reflecting the relationship between various meteorological conditions and performance loss of the pole-mounted switch;

[0051] Inputting the key features into a pre-trained loss prediction model, and quantitatively analyzing the contribution of each key feature to the performance loss rate of the pole-mounted switch based on the output results of the loss prediction model;

[0052] According to the contribution, an initial equipment loss law curve is fitted.

[0053] Furthermore, the correction factor construction module is specifically used to:

[0054] Use the deployed sensor equipment to collect electrical performance data, mechanical performance data and environmental data of the pole-mounted switch in real time;

[0055] A weight analysis is performed on the degree to which the environmental data affects the electrical performance and mechanical performance of the pole-mounted switch, and the environmental correction factor is constructed based on the weight analysis result.

[0056] Furthermore, the policy formulation module is specifically used to:

[0057] After completing the iterative update of the simulation test process, a target device loss regularity curve output by the simulation model is obtained;

[0058] Formulate a corresponding maintenance plan based on the target equipment loss law curve, and quantitatively calculate the corresponding maintenance cycle based on the switch opening and closing frequency in the actual operating parameters;

[0059] The maintenance strategy is determined based on the maintenance plan and maintenance cycle.

[0060] Another embodiment of the present invention provides a computer device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the testing method for the primary and secondary integrated pole-mounted switch as described above is implemented.

[0061] Yet another embodiment of the present invention provides a computer-readable storage medium storing a computer program. When the device where the computer-readable storage medium is located executes the computer program, the method for testing the primary and secondary integrated pole-mounted switch as described above is implemented.

[0062] Compared with the prior art, the embodiments of the present invention have the following advantages:

[0063] This solution significantly improves the operation and maintenance efficiency and reliability of pole-mounted switches by integrating real-time simulation, machine learning modeling, and dynamic correction factor technology. By simulating historical meteorological data and the performance parameters of switchgear, and using climate-driven loss pattern modeling, it can accurately predict equipment loss trends, achieve rapid fault location and rational planning of maintenance work, and significantly improve the operational reliability of primary and secondary integrated equipment under complex climatic conditions. The introduction of a dynamic correction mechanism for environmental factors achieves optimized adjustment of equipment loss patterns, ultimately forming an environmentally adaptive preventive maintenance mechanism, reducing the sudden failure rate and maintenance costs, extending equipment service life, and maintaining the stability of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 This is a flow chart of a method for testing a primary and secondary integrated pole-mounted switch in one embodiment of the present invention;

[0065] Figure 2 This is a schematic diagram of the structure of a test system for a primary and secondary integrated pole-mounted switch in one embodiment of the present invention;

[0066] Figure 3A structural block diagram of a preferred embodiment of a computer device provided by the present invention;

[0067] Reference numerals: M1, parameter acquisition module; M2, simulation module; M3, correction factor construction module; M4, tuning module; M5, strategy formulation module. DETAILED DESCRIPTION

[0068] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0069] In the description of this application, the terms "first," "second," "third," etc. are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first," "second," "third," etc. may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0070] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be a communication between the two components. The terms "vertical", "horizontal", "left", "right", "up", "down" and similar expressions used herein are for illustrative purposes only, and do not indicate or imply that the device or component referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0071] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used in this application have the same meanings as those commonly understood by those skilled in the art. The terms used in this specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. Those of ordinary skill in the art will understand the specific meanings of the above terms in this application in specific circumstances.

[0072] The integrated primary and secondary equipment is a highly integrated and intelligent key device in the power distribution system that deeply integrates primary equipment (such as circuit breakers, mutual inductors, and disconnectors) with secondary equipment (such as control and protection equipment). It is mainly used for segmentation, connection, fault isolation, and power restoration of distribution network lines. Based on this, an embodiment of the present invention provides a test method for the integrated primary and secondary pole-mounted switch. For details, please refer to Figure 1 , Figure 1 The figure shows a flow chart of a method for testing a primary and secondary integrated pole-mounted switch according to one embodiment of the present invention, including the following steps:

[0073] S1. Obtain historical meteorological data in the target area and performance parameter data corresponding to the primary and secondary integrated pole-mounted switchgear to create a simulation model.

[0074] When a primary / secondary integrated pole-mounted switch is installed outdoors or in harsh environments, it may be affected by external environmental factors such as climate change, humidity, and dust. These factors may affect the normal operation of the equipment and may interfere with data collection and fault prediction. The target area refers to the area where the primary / secondary integrated pole-mounted switch needs to be installed.

[0075] In an embodiment of the present invention, historical meteorological data of the target area for the past five years, including temperature and humidity, wind speed, precipitation, and sunshine intensity, can be obtained from the meteorological department or the local database of the power system in the target distribution network area. And during the operation of the distribution network, the relevant equipment performance parameters of the primary and secondary integrated pole-mounted switches, including rated current, arc extinguishing time, contact resistivity, protection logic, insulation resistance, and mechanical properties (number of opening and closing times, frequency, time), etc. Next, because the simulation environment needs to dynamically respond to the impact of meteorological changes on equipment performance, this embodiment will further analyze the mapping relationship between the above-mentioned historical meteorological data and performance parameter data.

[0076] In an embodiment of the present invention, a mapping relationship between the two can be demonstrated by pre-training a machine learning model, or a physical model can be established based on the interaction between the physical characteristics of the device and the meteorological conditions. It is understandable that in actual applications, when the humidity is high and the temperature changes greatly, condensation may occur on the outer casing and inside of the switch. Condensation will reduce the resistance of the insulation surface, resulting in a decline in insulation performance, which can easily cause faults such as flashover and short circuit. In addition, dust, oil, salt and alkali in the air will adhere to the insulation surface of the switch. Under humid conditions, these pollutants will form a conductive layer, which will reduce the insulation resistance and increase the leakage current, which may cause insulation flashover accidents.

[0077] Based on this, for example, embodiments of the present invention preferably utilize the aforementioned two types of data to pre-train a weather-performance mapping model. Specifically, a random forest / neural network model can be selected. After pre-processing the two types of data, such as normalization and one-hot encoding, the data is divided into training and test sets to train and validate the model.

[0078] The trained weather-performance mapping model is integrated into the simulation software to obtain a simulation model. For example, the mapping model can be called in the simulation software (such as MATLAB / Simulink) through an API to achieve real-time prediction.

[0079] In some embodiments of the present invention, the verification process may be to randomly input meteorological data values ​​into the simulation software and monitor the initial fluctuations in the performance of the primary and secondary integrated pole-mounted switchgear during the simulation operation.

[0080] For example, meteorological data values ​​such as high temperature of 35°C and humidity of 90% are input, and the equipment performance of the simulation output is observed, such as fluctuations such as high temperature causing the switch contact resistance to increase, humidity causing the insulation resistance to decrease, and long-day radiation causing the insulation performance of the sheath to decrease.

[0081] Then, under the same meteorological conditions, the initial performance fluctuation is compared with the pre-collected measured data, and the root mean square error (RMSE) between the two is calculated. If the error exceeds a threshold, it is considered necessary to adjust the parameters of the mapping model, that is, adjust the mapping relationship between the two data to reduce the test error. Preferably, in this embodiment, the error threshold is set to MSE = 5%.

[0082] This embodiment can effectively improve the dynamic response capability and prediction accuracy of the simulation environment by analyzing the mapping relationship between weather conditions and equipment performance.

[0083] S2. Simulate and test the operating status of the primary and secondary integrated pole-mounted switchgear under different meteorological conditions in the simulation model.

[0084] It should be understood that extreme weather, such as typhoons, lightning strikes, freezing weather, extreme temperatures, and sandstorms, can have a greater impact on device performance than normal weather. Therefore, this embodiment defines two simulation scenarios in the simulation model: extreme weather and typical weather.

[0085] Specifically, in extreme weather scenarios, the first operating state of the integrated primary and secondary pole-mounted switch is simulated to obtain the first performance fluctuation data. For example, sudden electromagnetic interference during a typhoon can cause abnormal opening and closing of the switch.

[0086] Similarly, under typical weather scenarios, the second operating state of the integrated primary and secondary pole-mounted switch is simulated to obtain second performance fluctuation data, such as capturing the fluctuation of the equipment's insulation resistance when the humidity is 50%.

[0087] It should be understood that performance indicators such as the number of opening and closing cycles, the degree of insulation resistance drop, the degree of contact wear, arc energy fluctuations, and mechanical vibration amplitude all reflect the loss of the equipment.

[0088] Feature extraction is performed on the first and second performance fluctuation data to obtain key features that reflect the relationship between various meteorological conditions and pole-mounted switch performance loss. These key features include humidity index, dust accumulation, diurnal temperature difference, temperature change rate, switching intensity, average load current, and annual insulation resistance drop. These key features are then input into a pre-trained loss prediction model for processing. For example, a gradient boosting machine / LSTM neural network model can be used to train the loss prediction model.

[0089] Based on the output of the loss prediction model, we quantitatively analyze the contribution of each key feature to the performance loss rate of the pole-mounted switch. We then fit the initial equipment loss law curve based on these feature contributions.

[0090] For example, the present invention uses the SHAP feature importance analysis method to process data output by the loss prediction model, such as contact wear rate, insulation aging coefficient, and opening and closing time deviation, to explain the contribution of features under various meteorological conditions. For example, dust accumulation contributes 30% to contact wear, humidity index contributes 45%, wind speed contributes 15%, and number of operations contributes 10%.

[0091] In order to intuitively display the extreme meteorological values ​​(including the corresponding conventional meteorological values) of wind speed > 30m / s or humidity > 95%, in an embodiment of the present invention, a three-dimensional surface graph and a time series line graph can be drawn respectively according to the above-mentioned contribution degree to clearly reveal the equipment loss pattern under different meteorological conditions.

[0092] S3~S4, real-time collection of the actual operating parameters of the primary and secondary integrated pole-mounted switches to construct environmental correction factors, and use the environmental correction factors to tune the parameters of the simulation model and iterate the simulation test process.

[0093] To further optimize test accuracy, the present invention dynamically tunes the simulation model by constructing correction factors. Specifically, the present invention deploys multiple sensor devices on the actual integrated pole-mounted switchgear to collect real-time electrical, mechanical, and environmental data. Examples include infrared thermometers for contact temperature, displacement sensors for detecting opening and closing strokes and time deviations, and environmental sensors for monitoring real-time temperature and humidity inside and outside the equipment.

[0094] Understandably, excessively long or short opening and closing times can affect the switch's proper operation and protective performance, potentially leading to problems such as arc failure or asynchronous closing. Opening and closing speeds directly affect contact quality and arc extinguishing capability. Abnormal speeds can lead to increased contact wear and difficulty extinguishing arcs. Furthermore, abnormal mechanical travel may indicate wear or jamming of mechanical transmission components, necessitating repair and adjustment.

[0095] Then, a correction factor is calculated based on the sensor sensing data. Specifically, this embodiment performs a weight analysis on the degree to which the environmental data affects the electrical and mechanical properties of the pole-mounted switch, and constructs an environmental correction factor based on the weight analysis result.

[0096] For example, embodiments of the present invention can analyze the Pearson correlation coefficient between environmental data and performance indicators, such as r = 0.75 for temperature and contact wear rate, which indicates a strong positive correlation between the two, and r = -0.82 for humidity and insulation resistance drop rate, which indicates a strong negative correlation between the two. Alternatively, in another embodiment, a linear regression or random forest model is used to establish a multivariate relationship between environmental parameters and performance indicators, such as: W = a·T+b·H+c·D+d·V+∈, where the coefficients (a, b, c, d) output by the model are the preliminary weights of each environmental parameter, and T, H, D, and V can be considered to be the collected temperature, humidity, wind speed, and wind speed index.

[0097] The environmental correction factor is constructed by comprehensively analyzing the results of each weight. For example, if the assigned temperature weight is 0.6, the dust weight is 0.1, the wind speed weight is 0.1, and the humidity weight is 0.2, T, H, D, and V are normalized to 0.8, 0.9, 0.2, and 0.7 respectively, then the final calculated correction factor value is 0.73.

[0098] This correction factor is input into the simulation model to optimize its parameters and iterate the simulation test process. The error between the predicted value output by the optimized model and the actual monitoring data is compared. When the error is less than a preset condition (such as the calculated root mean square error is less than 5%), the iteration process ends. The simulation model generated by the final iteration is used for the next step of analysis.

[0099] S5. Determine the maintenance strategy for the integrated primary and secondary pole-mounted switch based on the target equipment loss law curve output by the simulation model.

[0100] After completing the iterative update of the simulation test process, the final simulation model is generated. Similar to the above steps, the simulation test is continued with this simulation model to obtain the final fitted target device loss law curve.

[0101] Key indicators are extracted from the target equipment's wear pattern curve to develop a corresponding maintenance plan. For example, if the contact wear rate exceeds 20%, it is considered that the contact life is nearing the end and needs to be replaced. If the annual decrease in insulation resistance exceeds 10%, the equipment's insulation performance is considered to be failing and requires inspection and replacement.

[0102] Other examples: When the condensation inside the primary and secondary fusion pole switch exceeds 15% due to excessive humidity, it is considered necessary to turn on the corresponding safety heating equipment to reduce the relative humidity inside the primary and secondary fusion pole switch to ensure the normal operation of the equipment.

[0103] In some embodiments of the present invention, the corresponding maintenance cycle can be quantitatively calculated based on the frequency of switch opening and closing in the actual operating parameters. Using an opening and closing counter to count the average daily number of operations (e.g., 10 times / day), the maximum number of contact operations is 10,000, an average of 10 times per day, and a maintenance cycle of 1,000 days is established. The maintenance cycle is a time interval for servicing equipment. The maintenance cycle can also be dynamically adjusted in conjunction with a correction factor. For example, if the correction factor is 1.2, which also reflects a strong degree of environmental impact, the corresponding shortening period is 83% of the original.

[0104] In combination with the established maintenance plan and maintenance cycle, a corresponding comprehensive maintenance strategy is determined. In some embodiments of the present invention, the maintenance strategy is used to perform targeted maintenance on the equipment, improve equipment performance, and extend equipment service life.

[0105] It is worth noting that an alarm mechanism is also provided in the embodiment of the present invention. For example, when the contact wear rate is higher than a preset threshold, such as the contact wear rate = 0.25% / day (0.1% / day under normal working conditions), it is considered that it will have a significant impact on the operating parameters of the primary and secondary integrated pole-mounted switch, and an alarm message needs to be sent to the distribution network terminal to promptly notify relevant staff to carry out inspection and replacement.

[0106] In summary, the embodiment of the present invention analyzes the loss patterns of switchgear under various meteorological conditions based on simulation models and historical meteorological data, and intuitively presents the correlation between environmental parameters and equipment performance through importance analysis and graphic visualization technology; through real-time collection of environmental data and equipment operating parameters of pole-mounted switches, combined with the iterative simulation process of environmental correction factors constructed through weight analysis, reasonable and reliable maintenance strategies and early warning measures are formulated based on the simulation results, which effectively reduces equipment failure rate and operation and maintenance costs, and also ensures the reliable operation of the distribution network.

[0107] An embodiment of the present invention provides a test system for a primary and secondary integrated pole-mounted switch. For details, see Figure 2 , Figure 2 The figure shows a schematic diagram of the structure of a test system for a primary and secondary integrated pole-mounted switch according to one embodiment of the present invention, comprising:

[0108] Parameter acquisition module M1 is used to obtain historical meteorological data of the target area and performance parameter data corresponding to the primary and secondary fusion pole-mounted switches to create a simulation model;

[0109] A simulation module M2 is used to simulate and test the operating status of the primary and secondary integrated pole-mounted switch under different meteorological conditions in the simulation model;

[0110] The correction factor construction module M3 is used to collect the actual operating parameters of the primary and secondary integrated pole-mounted switch in real time to construct an environmental correction factor;

[0111] A tuning module M4, configured to use the environmental correction factor to perform parameter tuning on the simulation model and iterate the simulation test process;

[0112] The strategy formulation module M5 is used to determine the maintenance strategy of the primary and secondary integrated pole-mounted switch according to the target equipment loss law curve output by the simulation model.

[0113] In this embodiment, the parameter acquisition module M1 collects the parameter data required for simulation, specifically:

[0114] Pre-train a weather-performance mapping model based on historical weather data and performance parameter data;

[0115] The weather-performance mapping model is integrated into the simulation software to obtain a simulation model.

[0116] Furthermore, the parameter acquisition module is also used to:

[0117] Randomly input meteorological data values ​​into the simulation software to monitor the initial fluctuations in the performance of the primary and secondary integrated pole-mounted switches during the simulation run;

[0118] The initial performance fluctuation is compared with pre-collected measured data, and the parameters of the weather-performance mapping model are dynamically adjusted to obtain a simulation model.

[0119] In this embodiment, the test simulation is performed by the simulation module M2, specifically including:

[0120] In the simulation model, extreme weather scenarios and typical weather scenarios are defined;

[0121] In extreme weather scenarios, simulate the first operating state of the primary and secondary integrated pole-mounted switch to obtain the first performance fluctuation data;

[0122] Under typical meteorological scenarios, the second operating state of the primary and secondary integrated pole-mounted switch is simulated to obtain the second performance fluctuation data.

[0123] Furthermore, in this embodiment, the system also includes a curve fitting module for performing feature analysis on the fluctuation data to fit an initial loss law curve. Specifically,

[0124] Feature extraction is performed on the first performance fluctuation data and the second performance fluctuation data respectively to obtain key features reflecting the relationship between various meteorological conditions and the performance loss of the pole-mounted switch;

[0125] The key features are input into the pre-trained loss prediction model, and the contribution of each key feature to the pole-mounted switch performance loss rate is quantitatively analyzed based on the output results of the loss prediction model. Based on the contribution, the initial equipment loss law curve is fitted.

[0126] Furthermore, this embodiment corrects and optimizes the simulation process through the correction factor construction module M3. Specifically, the deployed sensor equipment is used to collect the electrical performance data, mechanical performance data and environmental data of the pole-mounted switch in real time; a weight analysis is performed on the degree to which the environmental data affects the electrical performance and mechanical performance of the pole-mounted switch, and an environmental correction factor is constructed based on the weight analysis results.

[0127] Furthermore, in this embodiment, a maintenance plan for the equipment is formulated through the policy formulation module M5. Specifically:

[0128] After completing the iterative update of the simulation test process, the target equipment loss law curve is obtained from the simulation model output; a corresponding maintenance plan is formulated based on the target equipment loss law curve, and the corresponding maintenance cycle is quantitatively calculated based on the frequency of switch opening and closing in the actual operating parameters; the maintenance plan and maintenance cycle are comprehensively considered to determine the maintenance strategy.

[0129] The technical features and technical effects of the testing system for the integrated primary and secondary pole-mounted switch proposed in the embodiment of the present invention are the same as the technical features and technical effects of the testing method for the integrated primary and secondary pole-mounted switch proposed in the embodiment of the present invention, and will not be repeated here.

[0130] like Figure 3 As shown, an embodiment of the present invention further provides a computer device, Figure 3 This is a structural block diagram of a preferred embodiment of a computer device provided by the present invention, wherein the computer device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the above-mentioned method when executing the computer program.

[0131] Preferably, the computer program can be divided into one or more modules / units (e.g., computer program 1, computer program 2, ...), which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units can be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program in the computer device.

[0132] The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, or the processor can be any conventional processor. The processor is the control center of the terminal device, and uses various interfaces and lines to connect the various parts of the terminal device.

[0133] The memory mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system, an application program required for at least one function, etc., and the data storage area can store related data, etc. In addition, the memory can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, and a flash card, etc., or the memory can also be other volatile solid-state storage devices.

[0134] It should be noted that the above terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that Figure 3The structural block diagram is only an example of a terminal device and does not constitute a limitation of the terminal device. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it may include the processes of the embodiments of the above-mentioned methods. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0135] Accordingly, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to perform the steps in the method of the above embodiment, for example Figure 1 Steps S1 to S5 described in .

[0136] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A method for testing a primary and secondary integrated pole-mounted switch, characterized in that: include: Obtain historical meteorological data for the target area and integrated primary and secondary performance parameter data for pole-mounted switches to create a simulation model; Simulating and testing the operating status of the primary and secondary integrated pole-mounted switch under different meteorological conditions in the simulation model; Real-time collection of actual operating parameters of the primary and secondary integrated pole-mounted switch to construct an environmental correction factor; Optimizing parameters of the simulation model using the environmental correction factor and iterating the simulation test process; A maintenance strategy for the primary and secondary integrated pole-mounted switch is determined based on a target equipment loss law curve output by the simulation model.

2. The method for testing a primary and secondary integrated pole-mounted switch according to claim 1, characterized in that: The creation process of the simulation model includes: pre-training a weather-performance mapping model based on the historical weather data and the performance parameter data; The weather-performance mapping model is integrated into simulation software to obtain the simulation model.

3. The method for testing a primary and secondary integrated pole-mounted switch according to claim 2, characterized in that: Integrating the weather-performance mapping model into simulation software to obtain the simulation model further includes: Randomly input meteorological data values ​​into the simulation software to monitor the initial fluctuations in the performance of the primary and secondary integrated pole-mounted switches during the simulation run; The initial performance fluctuation is compared with pre-collected measured data, and the parameters of the weather-performance mapping model are dynamically adjusted to obtain the simulation model.

4. The method for testing a primary and secondary integrated pole-mounted switch according to claim 1, characterized in that: The simulation model simulates and tests the operating status of the primary and secondary integrated pole-mounted switch under different meteorological conditions, including: In the simulation model, extreme weather scenarios and typical weather scenarios are defined; In an extreme weather scenario, simulating a first operating state of the primary-secondary integrated pole-mounted switch to obtain first performance fluctuation data; Under a typical meteorological scenario, the second operating state of the primary-secondary integrated pole-mounted switch is simulated to obtain second performance fluctuation data.

5. The method for testing a primary and secondary integrated pole-mounted switch according to claim 4, characterized in that: After simulating and testing the operating state of the primary and secondary integrated pole-mounted switch under different meteorological conditions in the simulation model, the method further includes: Performing feature extraction on the first performance fluctuation data and the second performance fluctuation data respectively to obtain key features reflecting the relationship between various meteorological conditions and performance loss of the pole-mounted switch; Inputting the key features into a pre-trained loss prediction model, and quantitatively analyzing the contribution of each key feature to the performance loss rate of the pole-mounted switch based on the output results of the loss prediction model; According to the contribution, an initial equipment loss law curve is fitted.

6. The method for testing a primary and secondary integrated pole-mounted switch according to claim 1, characterized in that: The real-time collection of actual operating parameters of the primary and secondary integrated pole-mounted switch to construct an environmental correction factor includes: Use the deployed sensor equipment to collect electrical performance data, mechanical performance data and environmental data of the pole-mounted switch in real time; A weight analysis is performed on the degree to which the environmental data affects the electrical performance and mechanical performance of the pole-mounted switch, and the environmental correction factor is constructed based on the weight analysis result.

7. The method for testing a primary and secondary integrated pole-mounted switch according to claim 1, characterized in that: Determining a maintenance strategy for the primary and secondary integrated pole-mounted switch according to a target equipment loss law curve output by the simulation model includes: After completing the iterative update of the simulation test process, a target device loss regularity curve output by the simulation model is obtained; Formulate a corresponding maintenance plan based on the target equipment loss law curve, and quantitatively calculate the corresponding maintenance cycle based on the switch opening and closing frequency in the actual operating parameters; The maintenance strategy is determined based on the maintenance plan and maintenance cycle.

8. A test system for a primary and secondary integrated pole-mounted switch, characterized in that: include: The parameter acquisition module is used to obtain the historical meteorological data of the target area and the performance parameter data corresponding to the primary and secondary fusion pole-mounted switches to create a simulation model; A simulation module, used for simulating and testing the operating status of the primary and secondary integrated pole-mounted switch under different meteorological conditions in the simulation model; A correction factor construction module is used to collect actual operating parameters of the primary and secondary integrated pole-mounted switch in real time to construct an environmental correction factor; A tuning module, configured to use the environmental correction factor to perform parameter tuning on the simulation model and iterate the simulation test process; A strategy formulation module is used to determine the maintenance strategy of the primary and secondary integrated pole-mounted switch according to the target equipment loss law curve output by the simulation model.

9. The primary and secondary integrated pole-mounted switch testing system according to claim 8, characterized in that: The parameter acquisition module is specifically used to: pre-training a weather-performance mapping model based on the historical weather data and the performance parameter data; The weather-performance mapping model is integrated into simulation software to obtain the simulation model.

10. The primary and secondary integrated pole-mounted switch testing system according to claim 9, characterized in that: The parameter acquisition module is further used to: Randomly input meteorological data values ​​into the simulation software to monitor the initial fluctuations in the performance of the primary and secondary integrated pole-mounted switches during the simulation run; The initial performance fluctuation is compared with pre-collected measured data, and the parameters of the weather-performance mapping model are dynamically adjusted to obtain the simulation model.

11. The primary and secondary integrated pole-mounted switch testing system according to claim 8, characterized in that: The simulation module is specifically used for: In the simulation model, extreme weather scenarios and typical weather scenarios are defined; In an extreme weather scenario, simulating a first operating state of the primary-secondary integrated pole-mounted switch to obtain first performance fluctuation data; Under a typical meteorological scenario, the second operating state of the primary-secondary integrated pole-mounted switch is simulated to obtain second performance fluctuation data.

12. The primary and secondary integrated pole-mounted switch testing system according to claim 11, characterized in that: The system also includes a curve fitting module, specifically configured to: Performing feature extraction on the first performance fluctuation data and the second performance fluctuation data respectively to obtain key features reflecting the relationship between various meteorological conditions and performance loss of the pole-mounted switch; Inputting the key features into a pre-trained loss prediction model, and quantitatively analyzing the contribution of each key feature to the performance loss rate of the pole-mounted switch based on the output results of the loss prediction model; According to the contribution, an initial equipment loss law curve is fitted.

13. The primary and secondary integrated pole-mounted switch testing system according to claim 8, characterized in that: The correction factor building block is specifically used to: Use the deployed sensor equipment to collect electrical performance data, mechanical performance data and environmental data of the pole-mounted switch in real time; A weight analysis is performed on the degree to which the environmental data affects the electrical performance and mechanical performance of the pole-mounted switch, and the environmental correction factor is constructed based on the weight analysis result.

14. The primary and secondary integrated pole-mounted switch testing system according to claim 8, characterized in that: The strategy formulation module is specifically used to: After completing the iterative update of the simulation test process, a target device loss regularity curve output by the simulation model is obtained; Formulate a corresponding maintenance plan based on the target equipment loss law curve, and quantitatively calculate the corresponding maintenance cycle based on the switch opening and closing frequency in the actual operating parameters; The maintenance strategy is determined based on the maintenance plan and maintenance cycle.

15. A computer device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for testing the primary and secondary integrated pole-mounted switch according to any one of claims 1 to 7 is implemented.

16. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, the testing method for the primary and secondary integrated pole-mounted switch according to any one of claims 1 to 7 is implemented.

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