Grounding resistance online monitoring method, system, storage medium and electronic device

Abstract

The application provides a grounding resistance online monitoring method and system, a storage medium and an electronic device, and relates to the technical field of grounding resistance monitoring. The technical scheme provided by the application obtains the geological type of a transformer substation and the corresponding reference resistance threshold curve, combines the second grounding resistance value calculated based on the first grounding resistance value of the branch node in the grounding network, and determines the comprehensive resistance correction amount based on the soil characteristic parameters, thereby realizing the individual adjustment of the reference resistance threshold curve and obtaining the target resistance threshold curve suitable for the specific transformer substation. Comparing the measured third grounding resistance value with the corresponding threshold value of the final resistance threshold curve can accurately identify the abnormal state of the grounding network, avoid the false alarm and missed alarm problems caused by the fixed threshold, and improve the accuracy of the grounding resistance online monitoring.

Description

Technical Field

[0001] This application relates to the field of grounding resistance monitoring technology, specifically to an online grounding resistance monitoring method, system, storage medium, and electronic device. Background Technology

[0002] Grounding resistance is a key indicator of the performance of a grounding system, characterizing the ability of a grounding electrode or grounding network to discharge current to the earth. In power systems, reliable grounding is crucial for the safe operation of equipment and the safety of personnel. Grounding resistance is dynamically affected by various factors such as soil resistivity, ambient temperature, and soil moisture; therefore, real-time online monitoring of grounding resistance is necessary to ensure the grounding system is always in good working order.

[0003] Existing grounding resistance monitoring schemes mainly employ a fixed threshold method, comparing the measured grounding resistance value with a pre-set fixed threshold to determine if the grounding system is abnormal. However, in practical applications at railway substations, this monitoring method has significant shortcomings. Different electrical environments along railway lines can interfere with grounding resistance measurements, causing periodic fluctuations in the measured values. Fixed thresholds cannot adapt to these dynamic changes, easily leading to false alarms or missed alarms, thus reducing the accuracy of online grounding resistance monitoring. Summary of the Invention

[0004] This application provides a method, system, storage medium, and electronic device for online monitoring of grounding resistance, which can improve the accuracy of online monitoring of grounding resistance.

[0005] In a first aspect, this application provides a method for online monitoring of grounding resistance, the method comprising:

[0006] Geological information of multiple substations along the railway line is obtained, the geological type of each substation is determined, and the reference resistance threshold curves corresponding to the geological type under different power consumption environments are obtained.

[0007] At the start time of the different power consumption environments, the first grounding resistance value of each branch node in the grounding network of the substation is collected, and the second grounding resistance value of the grounding network is calculated based on each of the first grounding resistance values.

[0008] Obtain soil characteristic parameters of the coverage area of ​​each branch node, and determine the comprehensive resistance correction amount of the soil characteristic parameters to the second grounding resistance value;

[0009] The reference resistance threshold curve is adjusted based on the second grounding resistance value and the comprehensive resistance correction amount to obtain the target resistance threshold curve;

[0010] According to the operation schedule of the different power consumption environments, a curve part of a corresponding period in the target resistance threshold curve is denoised to obtain a final resistance threshold curve.

[0011] A third grounding resistance value of the grounding network is acquired in real time, and when the third grounding resistance value exceeds a corresponding threshold value of the final resistance threshold curve, an alarm information is generated.

[0012] By adopting the technical solution, the geological type of the substation and the corresponding reference resistance threshold curve are acquired, the second grounding resistance value of the branch node in the grounding network is calculated in combination with the first grounding resistance value, and the comprehensive resistance correction amount is determined based on the soil characteristic parameters, so that the reference resistance threshold curve is adjusted individually to obtain the target resistance threshold curve suitable for the specific substation. Further, the target resistance threshold curve is denoised based on the train operation schedule, so that the interference influence of the different power consumption environments on the grounding resistance measurement is effectively eliminated, and the final resistance threshold curve can accurately reflect the normal working state of the grounding network at different periods. In the real-time monitoring process, the third grounding resistance value is compared with the corresponding threshold value of the final resistance threshold curve, so that the abnormal state of the grounding network can be accurately identified, the false alarm and the missed alarm problems caused by the fixed threshold value are avoided, and the accuracy of the grounding resistance online monitoring is improved.

[0013] Optionally, the geological information of the multiple substations along the railway is acquired, the geological type of each substation is determined, and the reference resistance threshold curve of the geological type under different power consumption environments is acquired, including:

[0014] The geological information of the multiple substations along the railway is acquired, the geological information is matched with a preset standard geological type, and the geological type of each substation is determined;

[0015] The historical resistance threshold curve corresponding to the geological type is acquired from a geological type database;

[0016] The reference curve segment of the same historical period under different power consumption environments is intercepted from the historical reference resistance threshold curve, and the reference curve segment is determined as the reference resistance threshold curve.

[0017] Optionally, the second grounding resistance value of the grounding network is calculated according to the first grounding resistance value, including:

[0018] The topological structure information of the grounding network is acquired, and the spatial structure model of the grounding network is constructed according to the topological structure information;

[0019] The equivalent coverage space of each initial node is determined according to the spatial structure model, and the initial node in the equivalent coverage space within a preset coverage space threshold is determined as a branch node.

[0020] According to the circuit structure relationship between each of the first grounding resistance values and each of the branch nodes, a second grounding resistance value of the grounding network is calculated.

[0021] Optionally, the calculation of the second grounding resistance value of the grounding network according to the circuit structure relationship between each of the first grounding resistance values and each of the branch nodes comprises:

[0022] According to the circuit structure relationship between each of the branch nodes, a discharge path from a main branch to a terminal branch in the grounding network is determined;

[0023] A sum of series resistance values of first resistance values of a plurality of branch nodes on each of the discharge paths is calculated to obtain a total resistance of each of the discharge paths;

[0024] A target discharge path with the smallest total resistance is selected from all of the discharge paths, and a total resistance corresponding to the target discharge path is determined as the second grounding resistance value of the grounding network.

[0025] Optionally, the soil characteristic parameters include soil temperature parameters and soil humidity parameters, and the acquisition of the soil characteristic parameters of the coverage area of each of the branch nodes and the determination of a comprehensive resistance correction amount of the soil characteristic parameters on the second grounding resistance value comprise:

[0026] The soil temperature parameters and the soil humidity parameters are compared with reference soil temperature parameters and reference soil humidity parameters of the geological type respectively to obtain soil temperature deviation values and soil humidity deviation values;

[0027] A temperature influence factor corresponding to the soil temperature deviation value and a humidity influence factor corresponding to the soil humidity deviation value are respectively queried from a resistance influence factor library;

[0028] According to the temperature influence factor and the humidity influence factor, an initial resistance correction amount of the soil characteristic parameters on each of the first grounding resistance values is calculated;

[0029] According to the circuit structure relationship, each of the initial resistance correction amounts is integrated and calculated to obtain a comprehensive resistance correction amount acting on the second grounding resistance value.

[0030] Optionally, the denoising processing of the curve part corresponding to the time period in the target resistance threshold curve according to the running time schedule of the different power consumption environments to obtain a final resistance threshold curve comprises:

[0031] According to the running time schedule, the target resistance threshold curve is divided into a train running time period and a train non-running time period;

[0032] For the curve part of the train operation period, a wavelet transform is used to decompose to obtain high-frequency noise and low-frequency baseline, and a periodic fluctuation feature caused by train operation is extracted;

[0033] An adaptive filter is constructed based on the periodic fluctuation feature, and the curve part of the train operation period is filtered;

[0034] The filtered curve part is spliced with the curve part of the non-train operation period to obtain the final resistance threshold curve.

[0035] Optionally, the third grounding resistance value of the grounding network is obtained in real time, and when the third grounding resistance value exceeds the corresponding threshold value of the final resistance threshold curve, an alarm information is generated, including:

[0036] The third grounding resistance value of the grounding network is obtained in real time, and a curve value at the same time as the third grounding resistance value is obtained from the final resistance threshold curve according to a system timestamp;

[0037] A cubic exponential smoothing algorithm is applied to the curve value for processing to obtain a corresponding threshold value at the corresponding time, and a smoothing coefficient of the cubic exponential smoothing algorithm is determined by minimizing a mean square error;

[0038] The third grounding resistance value is compared with the corresponding threshold value, and when the third grounding resistance value exceeds the corresponding threshold value, an alarm information is generated.

[0039] In a second aspect, the present application provides an online monitoring system for grounding resistance, including:

[0040] An initialization module is configured to obtain geological information of multiple substations along a railway line, determine a geological type to which each substation belongs, and obtain a reference resistance threshold curve corresponding to the geological type in different power consumption environments;

[0041] A calculation module is configured to collect first grounding resistance values of branch nodes in a grounding network of the substation at a starting time of the different power consumption environments, and calculate a second grounding resistance value of the grounding network according to the first grounding resistance values;

[0042] A correction module is configured to obtain soil characteristic parameters of a coverage area of each branch node, and determine a comprehensive resistance correction amount of the soil characteristic parameters on the second grounding resistance value;

[0043] An adjustment module is configured to adjust the reference resistance threshold curve according to the second grounding resistance value and the comprehensive resistance correction amount to obtain a target resistance threshold curve;

[0044] The processing module is configured to perform denoising processing on a curve part corresponding to a time period in the target resistance threshold curve according to a running schedule of the different power consumption environments, to obtain a final resistance threshold curve.

[0045] The monitoring module is configured to acquire a third grounding resistance value of the grounding network in real time, and generate an alarm information when the third grounding resistance value exceeds a corresponding threshold value of the final resistance threshold curve.

[0046] In a third aspect, the present application provides a computer storage medium, which stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and performing any one of the above methods.

[0047] In a fourth aspect, the present application provides an electronic device, which comprises a processor, a memory and a transceiver, the memory is configured to store instructions, the transceiver is configured to communicate with other devices, and the processor is configured to execute the instructions stored in the memory, so that the electronic device performs any one of the above methods.

[0048] In summary, the beneficial effects brought by the technical scheme of the present application include:

[0049] By acquiring the geological type of the transformer substation and the corresponding reference resistance threshold curve, combining the second grounding resistance value calculated based on the first grounding resistance value of the branch node in the grounding network, and the comprehensive resistance correction amount determined based on the soil characteristic parameters, the reference resistance threshold curve is adjusted individually to obtain a target resistance threshold curve suitable for a specific transformer substation. Further, the target resistance threshold curve is denoised based on the train running schedule, so that the interference of the traction return current generated by the train operation on the grounding resistance measurement is effectively eliminated, and the final resistance threshold curve obtained can accurately reflect the normal working state of the grounding network at different time periods. In the real-time monitoring process, the third grounding resistance value measured is compared with the corresponding threshold value of the final resistance threshold curve, so that the abnormal state of the grounding network can be accurately identified, the false alarm and missed alarm problems caused by the fixed threshold value are avoided, and the accuracy of the grounding resistance online monitoring is improved. BRIEF DESCRIPTION OF DRAWINGS

[0050] Figure 1 is a flowchart of a grounding resistance online monitoring method according to an embodiment of the present application;

[0051] Figure 2 is a structural schematic diagram of a grounding resistance online monitoring system according to an embodiment of the present application;

[0052] Figure 3 is a structural schematic diagram of an electronic device according to an embodiment of the present application.

[0053] Reference signs: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0054] In order to enable persons skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in combination with the drawings in the specification. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments.

[0055] In the description of the embodiments of the present application, the words "exemplary", "for example", or "for instance" are used to mean serving as an example, instance, or illustration. Any embodiment or design solution described as "exemplary", "for example", or "for instance" in the embodiments of the present application should not be interpreted as being more advantageous or superior than other embodiments or design solutions. Rather, the use of the words "exemplary", "for example", or "for instance" is intended to present the relevant concept in a specific manner.

[0056] In the description of the embodiments of the present application, the term "a plurality of" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are used only for the purpose of description, and should not be interpreted or implied as indicating or suggesting relative importance or implicitly indicating the indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more of the features. The terms "include", "contain", "have", and their variants mean "include but are not limited to", unless otherwise specifically emphasized.

[0057] Please refer to Figure 1 A flowchart of an online monitoring method of grounding resistance provided by the embodiments of the present application is shown. The method can be implemented by relying on a computer program, relying on a single-chip microcomputer, or running on a grounding resistance online monitoring system based on the von Neumann system. The computer program can be integrated in an application or run as an independent tool application. The specific steps of the grounding resistance online monitoring method are described in detail below.

[0058] S101: Obtain geological information of a plurality of substations along a railway line, determine the geological types to which the substations belong, and obtain a reference resistance threshold curve corresponding to the geological types under different power consumption environments;

[0059] Wherein, the railway line refers to the geographical area passed by the railway line; the substation refers to the power facility for converting voltage level and distributing power; the geological information refers to the geological characteristics affecting the grounding resistance, including key parameters such as soil resistivity, soil composition, soil granularity, soil salinity, underground water level, etc.; the geological type refers to the category classified according to the geological characteristics affecting the grounding resistance, such as high-resistivity sandy soil, low-resistivity clay, saline-alkali soil, etc.; the different power consumption environments are used to represent different electrical load and interference states of the railway power system due to the presence or absence of train operation, mainly divided into train operation period and non-operation period; the reference resistance threshold curve refers to the reference curve of the grounding resistance of a specific geological type changing with time under standard conditions.

[0060] This step is executed in the system initialization phase, and is used to obtain historical data as a monitoring reference standard. Specifically, first, the geological information of each substation along the railway line is obtained, and these information is matched with the standard geological types preset by the system to determine which preset geological type each substation belongs to. Then, according to the determined geological type, the corresponding resistance threshold curve of this type is retrieved from the historical database. Finally, from the retrieved historical curve, the historical period data matching the current different power consumption environment time length is intercepted as the reference resistance threshold curve. This curve reflects the normal variation range of the grounding resistance under the geological conditions of this type.

[0061] Optionally, the direct matching method through the database can be used: first, compare the key parameters (such as soil resistivity, water content, etc.) in the obtained geological information with the standard geological types preset in the database; second, use the similarity calculation method to find the preset geological type with the highest parameter matching degree; finally, directly call the historical monitoring data corresponding to this geological type to obtain the corresponding reference resistance threshold curve. The whole process mainly depends on the existing classification standard and historical data in the database.

[0062] S102: At the starting time of the different power consumption environment, the first grounding resistance value of each branch node in the grounding network of the substation is collected, and the second grounding resistance value of the grounding network is calculated according to the first grounding resistance values;

[0063] Wherein, the grounding network refers to the grounding protection system of the substation for discharging fault current; the branch node refers to the important connection point in the grounding network, including the main node and the end node, etc.; the first grounding resistance value refers to the actual measured grounding resistance value at each branch node; the second grounding resistance value refers to the equivalent resistance value of the entire grounding network calculated by the first grounding resistance values of each branch node combined with the topology structure of the grounding network.

[0064] The step starts at the starting moment of each different power consumption environment, and is used to obtain the initial state of the grounding network. Specifically, at the starting moment of the different power consumption environment, the system first identifies all branch nodes in the grounding network, and measures the grounding resistance value of each branch node using a professional grounding resistance testing device to obtain a first grounding resistance value. Then, according to the topology structure of the grounding network, each discharge path from the main branch to the terminal branch is determined. Next, the sum of the series resistance values on each discharge path is calculated, and the path with the minimum total resistance is selected from all discharge paths, and the total resistance value of the path is taken as the second grounding resistance value of the entire grounding network. The second grounding resistance value reflects the actual discharge capacity of the grounding network.

[0065] Optionally, the multi-point synchronous measurement method can be used: first, the testing device is arranged at each branch node of the grounding network at the same time, and the measurement is performed in a synchronous triggering manner; second, the potential drop method is used to measure the grounding resistance of each node, and the environmental parameters at the time of measurement are recorded; finally, according to the topology structure of the grounding network, the parallel-serial equivalent calculation method is used to calculate the equivalent resistance of each branch step by step, and finally the second grounding resistance value of the entire network is obtained. This method can reduce mutual interference and improve measurement accuracy.

[0066] Optionally, the partition measurement method can be used: first, the grounding network is divided into multiple measurement regions according to function and structure, and each region contains a plurality of branch nodes; second, the branch nodes in each region are measured in turn, and the accurate grounding resistance value is obtained by using the three-pole method or the four-pole method; finally, based on network theory, the second grounding resistance value of the entire grounding network is calculated by establishing an equivalent circuit model and combining the measurement results of each region. This method is easy to operate and can reduce workload.

[0067] S103: Obtain the soil characteristic parameters of the coverage area of each branch node, and determine the comprehensive resistance correction amount of the soil characteristic parameters to the second grounding resistance value;

[0068] The coverage area of the branch node represents the range of soil affected by each branch node; the soil characteristic parameter refers to a key soil index that affects the grounding resistance, mainly including a soil temperature parameter and a soil humidity parameter; the soil temperature parameter represents the actual temperature value of the soil; the soil humidity parameter represents the water content of the soil; and the comprehensive resistance correction amount refers to a correction value calculated based on the soil characteristic parameters and used to adjust the second grounding resistance value.

[0069] This step is executed after the second grounding resistance value is obtained, for considering the influence of soil environmental factors on the grounding resistance. Specifically, first, the soil temperature and humidity parameters in the coverage area of each branch node are obtained, and these parameters are compared with the reference soil temperature parameters and reference soil humidity parameters of the geological type to obtain temperature deviation values and humidity deviation values. Then, from the pre-established resistance influence factor library, the temperature influence factor and humidity influence factor corresponding to these deviation values are found. Next, based on these influence factors, the initial resistance correction amount of each branch node is calculated. Finally, according to the circuit structure relationship of the grounding network, the initial resistance correction amounts of all branch nodes are integrated to obtain a comprehensive resistance correction amount acting on the entire grounding network.

[0070] S104: Adjust the reference resistance threshold curve according to the second grounding resistance value and the comprehensive resistance correction amount to obtain a target resistance threshold curve;

[0071] The target resistance threshold curve refers to the resistance threshold curve obtained after adjustment according to the actual environmental factors, which is suitable for the current monitoring scene.

[0072] This step is executed after the comprehensive resistance correction amount is obtained, for combining historical data with actual situations. Specifically, first, the second grounding resistance value and the comprehensive resistance correction amount are operated to obtain a corrected resistance value reflecting the current actual situation. Then, based on the ratio between the corrected resistance value and the initial value of the reference resistance threshold curve, an adjustment coefficient is calculated. Next, the adjustment coefficient is applied to all data points of the reference resistance threshold curve to adjust the entire curve in the same proportion. Finally, the adjusted curve is taken as the target resistance threshold curve, which not only retains the change rule of historical data but also reflects the actual situation of the current site.

[0073] Optionally, linear mapping can be used to achieve this: first, calculate the ratio of the corrected resistance value to the initial value of the reference curve, and take this ratio as the basic adjustment coefficient; second, considering that the resistance change characteristics may differ at different time periods, the duration of different power consumption environments is divided into multiple time periods, and a weight coefficient is set for each time period; finally, multiply the basic adjustment coefficient by the weight coefficients of each time period to obtain a segmented adjustment coefficient, based on which the reference curve is adjusted in a segmented linear manner to generate the target resistance threshold curve. This method can reflect the change characteristics at different time periods.

[0074] S105: According to the operation schedule of different power consumption environments, the curve part of the target resistance threshold curve corresponding to the time period is denoised to obtain a final resistance threshold curve;

[0075] Wherein, the runtime schedule of different power consumption environments refers to a time schedule table recording actual train running and stopping time; and the final resistance threshold curve represents a standard curve obtained after noise removal and used for actual monitoring.

[0076] This step is performed after obtaining the target resistance threshold curve, and is used to eliminate the interference caused by train operation. Specifically, first, according to the train operation schedule, the target resistance threshold curve is divided into train operation period and non-operation period according to time. Then, the curve part of the train operation period is decomposed by wavelet transform to separate the high-frequency noise component and the low-frequency baseline component, and the periodic fluctuation characteristics caused by train operation are extracted. Next, based on the extracted periodic fluctuation characteristics, an adaptive filter is constructed to filter the curve of the operation period. Finally, the processed operation period curve is smoothly connected with the curve of the non-operation period to obtain the final resistance threshold curve.

[0077] S106: Real-time acquisition of the third grounding resistance value of the grounding network, and generation of alarm information when the third grounding resistance value exceeds the corresponding threshold value of the final resistance threshold curve.

[0078] Wherein, the third grounding resistance value represents the real-time measured grounding network resistance value, and the alarm information represents the warning data generated by the system when an abnormal situation is detected.

[0079] This step is continuously performed after the threshold curve processing is completed, and is used to realize real-time monitoring and abnormal early warning of the grounding resistance. Specifically, first, the system continuously acquires the real-time resistance value of the grounding network, i.e., the third grounding resistance value, while recording the measurement time. Then, according to the measurement time, the threshold value at the corresponding time is obtained from the final resistance threshold curve. Finally, the measured third grounding resistance value is compared with the corresponding threshold value, and when the third grounding resistance value exceeds the threshold value range, the system automatically generates alarm information.

[0080] Optionally, dynamic threshold comparison can be used: first, collect third grounding resistance values at multiple times; second, analyze these resistance values to calculate their change trend; and finally, compare the analysis result with the threshold value, and when it exceeds the preset range, generate alarm information of different levels according to the exceeding degree. This way can reduce the false alarm rate.

[0081] On the basis of the above embodiment, as an optional implementation, the way of determining the geological type of the substation and obtaining the reference resistance threshold curve of the geological type under different power consumption environments in step S101 includes steps S201-S203.

[0082] S201: Obtain geological information of multiple substations along the railway line, match the geological information with the preset standard geological type, and determine the geological type of each substation;

[0083] Among them, the preset standard geological type refers to the typical geological classification with established grounding resistance characteristic relationships, and each type corresponds to a specific grounding resistance variation law. The geological type of the substation represents the standard geological category obtained through matching, which can be used to determine the grounding resistance reference curve of the substation.

[0084] In practice, the standard geological type of a substation is determined by analyzing the geological characteristics affecting grounding resistance. First, a specialized geological survey is conducted around the substation's grounding grid, focusing on measuring soil resistivity distribution and collecting soil samples to determine water content and ionic properties. Second, the measured geological parameters are normalized according to their impact on grounding resistance, constructing a geological feature vector. Then, the similarity between this feature vector and the feature vector of a preset standard geological type is calculated, and the best-matching type is selected as the geological type of the substation. This establishes a correspondence between the substation's grounding device and the grounding resistance variation pattern under specific geological conditions. For example, if a substation has a measured soil resistivity of 100 Ω·m and a water content of 20%, it is determined to be of the "low resistivity clay" type through feature matching, which exhibits specific grounding resistance variation characteristics.

[0085] S202: Obtain the historical resistance threshold curve corresponding to the geological type from the geological type database;

[0086] In this scheme, the geological type database is a historical dataset of grounding resistance archived by geological type, storing long-term operational data of substation grounding devices under various geological conditions. The historical resistance threshold curve represents the normal grounding resistance variation range of the grounding device under a specific geological type within a complete annual cycle, including resistance fluctuation characteristics caused by factors such as seasonal changes and weather effects.

[0087] This step extracts the standard grounding resistance variation pattern for the target geological type from historical data. First, based on the geological type determined in S201, historical grounding resistance monitoring data for all substations of that type are retrieved from the database. Second, statistical analysis is performed on the historical data for the same geological type, calculating the mean and standard deviation of resistance at each time point. Then, based on the statistical results, upper and lower thresholds for resistance variation are constructed, forming a historical resistance threshold curve for that geological type. This curve reflects the resistance variation pattern of the grounding device under specific geological conditions, providing a basis for subsequently determining the baseline curve. For example, for the "low resistivity clay" type, its historical resistance threshold curve shows a stable seasonal variation pattern: lower and more stable resistance values ​​in summer, and higher and more volatile resistance values ​​in winter.

[0088] S203: Extract a reference curve segment from the historical reference resistance threshold curve that corresponds to the same historical period under different power consumption environments, and determine the reference curve segment as the reference resistance threshold curve.

[0089] The reference curve segment is the most representative monitoring interval extracted from historical data, which requires matching with the actual operation period in terms of time span and operation characteristics. The reference resistance threshold curve is the criterion finally used for real-time monitoring, which embodies the normal grounding resistance variation law under specific geological conditions and operation period.

[0090] This step combines historical experience with actual operation requirements. First, determine the specific time range and characteristic period of the current different power consumption environment. Second, find the most similar historical period to the current operation period in the historical resistance threshold curve, focusing on factors such as seasonal characteristics and weather conditions. Then, intercept the curve segment corresponding to this period and map its time axis to the current operation period to form the reference resistance threshold curve. The reference curve obtained in this way not only contains the influence characteristics of geological conditions, but also matches the actual operation period, providing accurate reference standards for real-time monitoring of grounding devices. For example, if the operation period of a substation is 7 days, select 7-day data under similar weather conditions in the same season from the historical curve as the reference curve.

[0091] On the basis of the above embodiment, as an optional implementation manner, the manner for calculating the second grounding resistance value of the grounding network according to the first grounding resistance value is determined, which can be specifically implemented through steps S301-S303.

[0092] S301: Obtain the topological structure information of the grounding network, and construct a spatial structure model of the grounding network according to the topological structure information;

[0093] The topological structure information refers to a complete description of the spatial position relationship and electrical connection mode of the grounding electrode and the connecting conductor in the grounding network, including the coordinate position, burial depth, and specification of each grounding electrode, as well as the trend, length, and cross section of the connecting conductor. The spatial structure model is a three-dimensional digital model established based on the topological structure information, which accurately represents the geometric configuration and electrical connection relationship of the grounding network through mathematical methods.

[0094] This step establishes the digital expression of the grounding network. First, use total station, GPS, and other measurement equipment to obtain the spatial coordinates (x, y, z) of the grounding electrode and measure the spatial arrangement parameters of the connecting conductor. Second, represent the grounding electrode as a node and the connecting conductor as an edge to construct a network topology based on graph theory. Then, assign specific physical attribute parameters to each node, including grounding electrode type, size, material, and other information. Finally, establish a complete three-dimensional digital model based on the attributes of nodes and edges, which contains all the geometric and electrical characteristics of the grounding network.

[0095] S302: Determine the equivalent coverage space of each initial node according to the spatial structure model, and determine the initial node within the preset coverage space threshold as a branch node.

[0096] wherein the equivalent coverage space refers to the effective grounding effect range of the grounding electrode node, which is determined by the physical parameters of the grounding electrode and the soil characteristics. The preset coverage space threshold is a spatial volume criterion for determining whether the node is suitable as a measurement point. The branch node refers to the grounding electrode node that meets the measurement condition.

[0097] This step screens suitable measurement points by analyzing the node characteristics. For each initial node, its equivalent coverage space is calculated based on its position and parameters in the spatial structure model. The calculation considers the physical size of the grounding electrode, the burial depth, and the electrical characteristics of the surrounding soil, and uses the equivalent volume to express the grounding effect range. By comparing the calculated equivalent coverage space with the preset threshold, it is determined which nodes are suitable as independent measurement points. The nodes that meet the coverage space requirement are determined as branch nodes, which will be used for subsequent resistance measurement.

[0098] S303: Calculate the second grounding resistance value of the grounding network according to the circuit structure relationship between each first grounding resistance value and each branch node.

[0099] The first grounding resistance value represents the independent grounding resistance measurement value of the branch node. The circuit structure relationship refers to the parallel network formed by the connection conductors between the nodes. The second grounding resistance value is the equivalent resistance of the entire grounding network.

[0100] This step completes the calculation of the comprehensive resistance of the grounding network. First, independent grounding resistance measurements are taken at all determined branch nodes to obtain the first grounding resistance value of each node. Then, the electrical connection relationship of these nodes through the connecting conductors is analyzed to establish a complete equivalent circuit model. In the calculation, both the grounding resistance values of the branch nodes and the resistance influence of the connecting conductors are considered. Finally, through the equivalent calculation principle of parallel circuits, the comprehensive equivalent resistance of the entire grounding network, i.e. the second grounding resistance value, is obtained.

[0101] Based on the above embodiment, as an optional implementation, the way to calculate the second grounding resistance value of the grounding network in step S303 can be implemented through the following steps S3031-S3033.

[0102] S3031: Determine the discharge path from the main branch to the terminal branch in the grounding network according to the circuit structure relationship between the branch nodes;

[0103] The circuit structure relationship refers to the conductor connection relationship between the branch nodes in the grounding network, which is represented by the connection order and direction of the conductors. The main branch is the main path of current discharge in the grounding network, usually with a larger cross-sectional area of the conductor and key nodes. The terminal branch is the branch conductor extending outward from the grounding network. The discharge path is the complete conduction path of the current from the main branch to the terminal branch.

[0104] This step analyzes the actual flow path of the grounding current. Based on the conductor connection structure of the grounding network, a complete network topology is established using the graph theory method. Starting from the main branch, the current is tracked outward along the conductor connection relationship, and all possible current discharge paths are identified. In the tracking process, the sequence of branch nodes and the conductor connection relationship passed by each path are recorded. This tracking method ensures that all discharge paths from the main trunk to the end are found, providing complete path information for subsequent resistance calculation.

[0105] S3032: Calculate the sum of the first resistance values of the plurality of branch nodes on each discharge path to obtain a total resistance of each discharge path;

[0106] The first resistance value is the independent grounding resistance value measured by each branch node. The sum of the series resistances represents the cumulative value of all node resistances on the discharge path. The total resistance is the equivalent resistance of a complete discharge path.

[0107] This step calculates the total resistance of each discharge path. For each identified discharge path, first extract the first resistance values of all branch nodes on the path. According to the current flow direction, these resistance values are added in turn, while the resistance values of the connecting conductors are added. In the calculation, the law of series circuit is followed, and the total resistance is equal to the algebraic sum of all resistances on the path. The total resistance obtained in this way reflects the overall conduction performance of the discharge path.

[0108] S3033: Select a target discharge path with the smallest total resistance from all discharge paths, and determine the total resistance of the target discharge path as the second grounding resistance value of the grounding network.

[0109] The target discharge path is the current discharge path with the smallest total resistance, representing the path through which the grounding current is most easily discharged. The second grounding resistance value is the equivalent grounding resistance of the entire grounding network, represented by the resistance value of the optimal discharge path.

[0110] This step determines the equivalent resistance of the grounding network. Compare the total resistance values of all discharge paths to find the path with the smallest value. The reason for selecting the smallest resistance value is that the current always tends to flow along the path with the smallest resistance, so the resistance of this path best represents the grounding performance of the entire network. The total resistance value of this path is directly determined as the second grounding resistance value of the grounding network, which reflects the equivalent grounding resistance of the grounding network in the actual working state.

[0111] On the basis of the above embodiment, as an optional implementation, on the basis of the steps S301-S303, the way to determine the comprehensive resistance correction amount of the soil characteristic parameter to the second grounding resistance value can be realized through the following steps S401-S404.

[0112] S401: Compare the soil temperature parameter and the soil humidity parameter with the preset reference soil temperature parameter and the reference soil humidity parameter of the geological type, respectively, to obtain a soil temperature deviation value and a soil humidity deviation value;

[0113] The soil temperature parameter and the soil humidity parameter are the current measured soil environment parameters. The reference soil temperature parameter and the reference soil humidity parameter are the standard parameter values corresponding to the determination of the reference resistance threshold curve under the geological type. The soil temperature deviation value and the soil humidity deviation value represent the difference degree of the current parameters and the reference parameters.

[0114] This step determines the soil environment change amount by parameter comparison. First, the current measured values of soil temperature T and humidity H are obtained from the soil monitoring system, and the reference temperature T0 and the reference humidity H0 corresponding to the type are read from the geological type database. Then, the temperature deviation ΔT=T-T0 and the humidity deviation ΔH=H-H0 are calculated respectively. These deviation values directly reflect the change degree of the current soil environment relative to the reference state.

[0115] S402: Query the temperature influence factor corresponding to the soil temperature deviation value and the humidity influence factor corresponding to the soil humidity deviation value from the resistance influence factor library, respectively;

[0116] The resistance influence factor library is a data set that stores the influence relationship of different environmental parameter changes on the grounding resistance. The temperature influence factor and the humidity influence factor respectively represent the change proportion of the grounding resistance caused by unit temperature change and unit humidity change.

[0117] This step establishes the quantitative relationship between environmental change and resistance change. First, according to the temperature deviation value and the humidity deviation value obtained in S401, the corresponding influence factors are retrieved in the resistance influence factor library. The retrieval of the influence factor uses the piecewise linear interpolation method to ensure that accurate influence factor values can be obtained when the parameter deviation is in any interval.

[0118] S403: Calculate the initial resistance correction amount of the soil characteristic parameter to each first grounding resistance value according to the temperature influence factor and the humidity influence factor;

[0119] The initial resistance correction amount refers to the resistance change value of a single grounding electrode node affected by the environment, which reflects the influence degree of environmental parameter change on the local grounding resistance.

[0120] This step calculates the resistance correction value caused by environmental changes. For each first grounding resistance value, the resistance correction value caused by temperature and humidity changes is calculated respectively. The temperature correction value is equal to the first grounding resistance value multiplied by the temperature influence factor and then multiplied by the temperature deviation value. The humidity correction value is equal to the first grounding resistance value multiplied by the humidity influence factor and then multiplied by the humidity deviation value. The two correction values are superimposed to obtain the initial resistance correction value of the node. This correction value represents the comprehensive influence of environmental changes on the single node grounding resistance.

[0121] S404: According to the circuit structure relationship, the initial resistance correction values are integrated and calculated to obtain the comprehensive resistance correction value acting on the second grounding resistance value.

[0122] The circuit structure relationship represents the electrical connection mode of each node in the grounding network. The comprehensive resistance correction value is the correction value acting on the equivalent resistance of the entire grounding network.

[0123] This step converts the correction value of a single node into the correction value of the entire network. According to the parallel structure characteristics of the grounding network, the initial resistance correction values of each node are integrated by weighted superposition. In the calculation, the weight of each node in the parallel network is considered, and the weight value is determined by the first grounding resistance value of the node. The smaller the resistance value, the greater the weight of the node. The comprehensive resistance correction value obtained by weighted calculation reflects the influence degree of environmental changes on the entire grounding network.

[0124] On the basis of the above embodiment, as an optional implementation manner, the way of obtaining the final resistance threshold curve in step S105 can be realized by the following steps S501-S504.

[0125] S501: According to the running schedule, the target resistance threshold curve is divided into train running period and train non-running period;

[0126] The running schedule refers to the detailed time arrangement of railway train operation, including the specific running time of each train. The train running period is the time interval when the train passes through, and the grounding resistance will fluctuate due to the influence of train operation. The train non-running period is the time interval without train passing through, and the grounding resistance is relatively stable. The target resistance threshold curve is the original grounding resistance change curve to be processed.

[0127] This step realizes the period division of the resistance curve. First, read the running schedule data, extract the running time information of each train, and establish a complete train running time sequence. Then mark all the train running periods on the time axis of the target resistance threshold curve, and determine the intervals outside these periods as non-running periods. The period division adopts time marking accurate to minutes, ensuring the clear boundary between running period and non-running period.

[0128] S502: For the curve part of the train operation period, use wavelet transform to decompose and obtain high-frequency noise and low-frequency baseline, and extract the periodic fluctuation characteristics caused by train operation.

[0129] High-frequency noise refers to rapid resistance fluctuations during train operation. Low-frequency baseline is the basic trend of resistance value changes. Periodic fluctuation characteristics represent the regular resistance change characteristics caused by train operation. Wavelet transform is a time-frequency analysis method that can effectively separate different frequency components of a signal.

[0130] This step extracts features through signal processing. For the curve of the train operation period, first select a suitable wavelet basis function, such as Daubechies wavelet, and perform multi-scale decomposition on the curve. The decomposition process separates the signal into components of different frequency bands, with high-frequency components corresponding to rapid fluctuations caused by train operation and low-frequency components corresponding to the basic trend of resistance changes. By analyzing the energy distribution and time characteristics of these components, periodic fluctuation patterns are identified.

[0131] S503: Based on the periodic fluctuation characteristics, construct an adaptive filter to filter the curve part of the train operation period;

[0132] An adaptive filter is a filter that can automatically adjust its parameters based on signal characteristics. Filtering is a process of removing unwanted signal components and retaining useful signals.

[0133] This step realizes the optimization of the resistance curve. Based on the periodic fluctuation characteristics extracted in S502, the structure and parameters of the adaptive filter are designed. The core of the filter is a set of weight coefficients that can change with signal characteristics, and these coefficients are constantly updated through the least mean square error criterion. The filtering process retains the main periodic changes reflecting the impact of train operation while suppressing random fluctuations and interference components. The processed curve retains the characteristics of train operation impact, but the noise is significantly reduced.

[0134] S504: Splice the filtered curve part with the curve part of the non-operation period of the train to obtain the final resistance threshold curve.

[0135] The final resistance threshold curve is a complete grounding resistance monitoring standard curve, which includes the optimized operation period curve and the original non-operation period curve.

[0136] This step completes the overall construction of the curve. The filtered runtime period curve is spliced with the untreated non-runtime period curve in the original time sequence. Smooth transition processing is used at the splicing point to ensure the continuity of the curve. The time axis correspondence is maintained during splicing to ensure that the final curve can accurately reflect the resistance change characteristics of different time periods. The final resistance threshold curve not only retains the characteristic changes of the train running period, but also maintains the original characteristics of the non-running period.

[0137] On the basis of the above-mentioned embodiments, as an optional implementation manner, the alarm information generation manner in step S106 can be implemented through the following steps S601-S603.

[0138] S601: Real-time acquisition of a third grounding resistance value of the grounding network, and acquisition of a curve value at the same time as the third grounding resistance value from the final resistance threshold curve according to a system timestamp;

[0139] The third grounding resistance value is a grounding resistance value measured in real time by the grounding network. The system timestamp is a time marker of the collection of the measurement data. The final resistance threshold curve is a processed standard threshold curve. The curve value is a resistance value corresponding to a specific time on the threshold curve.

[0140] This step realizes the acquisition and comparison of real-time data. The resistance data of the grounding network is continuously collected by the grounding resistance measuring device, and each collected data is marked with an accurate timestamp. The timestamp is mapped to the time axis of the final resistance threshold curve to extract the curve value corresponding to the time. The data collection frequency is usually set to once per minute to ensure the continuity of the monitoring. The timestamp mapping adopts an accurate matching manner, and if the timestamp does not correspond to a sampling point of the curve, the curve value at the time is calculated through linear interpolation.

[0141] S602: Applying a cubic exponential smoothing algorithm to process the curve value to obtain a corresponding threshold value at the corresponding time, and the smoothing coefficient of the cubic exponential smoothing algorithm is determined by minimizing the mean square error;

[0142] The cubic exponential smoothing algorithm is a time series prediction method that can process data with trends and seasonality. The smoothing coefficient is a parameter in the algorithm that controls the degree of smoothing. The mean square error is a measure of the difference between the predicted value and the actual value. The corresponding threshold value is a standard judgment value obtained after smoothing.

[0143] This step dynamically optimizes the threshold. The obtained sequence of curve values is processed by applying a cubic exponential smoothing algorithm. The algorithm includes three equations: a level equation, a trend equation, and a seasonal equation, each with a corresponding smoothing coefficient. Through iterative calculations, these coefficients are continuously adjusted until the mean square error between the predicted value and the actual value reaches a minimum. The final smoothing coefficients are used to calculate the corresponding threshold value at the current time.

[0144] S603: Compare the third grounding resistance value with the corresponding threshold value, and generate an alarm information when the third grounding resistance value exceeds the corresponding threshold value.

[0145] The alarm information is a warning message issued when the grounding resistance is abnormal, containing key information such as abnormal time and abnormal value. The corresponding threshold value is a standard value for determining whether the grounding resistance is abnormal.

[0146] This step performs abnormality monitoring and alarm. The real-time measured third grounding resistance value is compared with the smoothed corresponding threshold value. When the third grounding resistance value exceeds the corresponding threshold value, it indicates that the grounding network is in an abnormal condition. At this time, an alarm information containing information such as abnormal time, abnormal location, and abnormal degree is generated.

[0147] The following is an embodiment of the system of the present application, which can be used to execute the method embodiments of the present application. For details not disclosed in the system embodiments of the present application, please refer to the method embodiments of the present application.

[0148] Please refer to Figure 2 , which shows the structure diagram of the grounding resistance online monitoring system provided by an exemplary embodiment of the present application. The system can be realized by software, hardware, or a combination of both to become all or part of the system. The grounding resistance online monitoring system comprises:

[0149] An initialization module is configured to obtain geological information of a plurality of substations along a railway line, determine the geological type of each substation, and obtain a reference resistance threshold curve corresponding to the geological type under different power consumption environments;

[0150] A calculation module is configured to collect first grounding resistance values of each branch node in the grounding network of the substation at the starting time of different power consumption environments, and calculate a second grounding resistance value of the grounding network according to the first grounding resistance values;

[0151] A correction module is configured to obtain soil characteristic parameters of the coverage area of each branch node, and determine a comprehensive resistance correction amount of the soil characteristic parameters on the second grounding resistance value;

[0152] An adjustment module is configured to adjust the reference resistance threshold curve according to the second grounding resistance value and the comprehensive resistance correction amount to obtain a target resistance threshold curve;

[0153] The processing module is configured to perform denoising processing on a curve segment corresponding to a time period in the target resistance threshold curve according to a running schedule of different power consumption environments, to obtain a final resistance threshold curve.

[0154] The monitoring module is configured to acquire a third grounding resistance value of the grounding network in real time, and generate an alarm information when the third grounding resistance value exceeds a corresponding threshold value of the final resistance threshold curve.

[0155] On the basis of the above-mentioned embodiments, as an optional embodiment, the initialization module is further configured to acquire geological information of a plurality of substations along the railway, match the geological information with preset standard geological types to determine geological types of the substations, acquire a historical resistance threshold curve corresponding to the geological types from a geological type database, and acquire a reference curve segment of the same historical time period as the different power consumption environments from the historical reference resistance threshold curve, and determine the reference curve segment as the reference resistance threshold curve.

[0156] On the basis of the above-mentioned embodiments, as an optional embodiment, the calculation module is further configured to acquire topological structure information of the grounding network, construct a spatial structure model of the grounding network according to the topological structure information, determine equivalent coverage spaces of the initial nodes according to the spatial structure model, and determine the initial nodes with the equivalent coverage spaces within a preset coverage space threshold as branch nodes, and calculate the second grounding resistance value of the grounding network according to the circuit structure relationship between the first grounding resistance values and the branch nodes.

[0157] On the basis of the above-mentioned embodiments, as an optional embodiment, the calculation module is further configured to determine a discharge path from the main branch to the terminal branch in the grounding network according to the circuit structure relationship between the branch nodes, calculate a sum of series resistances of the first resistance values of a plurality of branch nodes on each discharge path to obtain a total resistance of each discharge path, select a target discharge path with the smallest total resistance from all the discharge paths, and determine the total resistance of the target discharge path as the second grounding resistance value of the grounding network.

[0158] On the basis of the above-mentioned embodiments, as an optional embodiment, the correction module is further configured to compare the soil temperature parameter and the soil humidity parameter with preset reference soil temperature parameters and reference soil humidity parameters of the geological types respectively to obtain soil temperature deviation values and soil humidity deviation values, query a temperature influence factor corresponding to the soil temperature deviation values and a humidity influence factor corresponding to the soil humidity deviation values from an influence factor library, calculate initial resistance correction amounts of the soil characteristic parameters on the first grounding resistance values according to the temperature influence factor and the humidity influence factor, and integrate and calculate the initial resistance correction amounts according to the circuit structure relationship to obtain a comprehensive resistance correction amount acting on the second grounding resistance value.

[0159] On the basis of the above-mentioned embodiments, as an optional embodiment, the processing module is further configured to divide the target resistance threshold curve into a train operation period and a train non-operation period according to a running schedule; for the curve part of the train operation period, a wavelet transform is used to decompose to obtain high-frequency noise and low-frequency baseline, and periodic fluctuation characteristics caused by train operation are extracted; an adaptive filter is constructed based on the periodic fluctuation characteristics, and the curve part of the train operation period is filtered; and the filtered curve part and the curve part of the train non-operation period are spliced to obtain a final resistance threshold curve.

[0160] On the basis of the above-mentioned embodiments, as an optional embodiment, the monitoring module is further configured to acquire a third grounding resistance value of the grounding network in real time, and acquire a curve value at the same time as the third grounding resistance value from the final resistance threshold curve according to a system timestamp; a cubic exponential smoothing algorithm is applied to the curve value for processing to obtain a corresponding threshold value at the corresponding time, and a smoothing coefficient of the cubic exponential smoothing algorithm is determined by minimizing a mean square error; and the third grounding resistance value is compared with the corresponding threshold value, and an alarm information is generated when the third grounding resistance value exceeds the corresponding threshold value.

[0161] The application further provides a computer readable storage medium, which stores instructions, when the instructions are executed, performing the method steps of any one of the above-mentioned embodiments.

[0162] In an exemplary embodiment, the above-mentioned computer readable storage medium can include but is not limited to: a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various computer program storage media.

[0163] The application further discloses an electronic device. As shown in Figure 3 Figure 3 is a structural schematic diagram of an electronic device disclosed by the embodiments of the application. The electronic device 300 can include at least one processor 301, at least one communication bus 302, a user interface 303, at least one network interface 304, and a memory 305.

[0164] The communication bus 302 is configured to realize the connection and communication among the components.

[0165] The user interface 303 can include a display screen (Display), and the optional user interface 303 can further include a standard wired interface and a wireless interface.

[0166] The network interface 304 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).​

[0167] The processor 301 can include one or more processing cores. The processor 301 connects various parts within the entire electronic device (such as a server) by various interfaces and lines, and performs various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Alternatively, the processor 301 can be implemented in at least one of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 301 can integrate a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. Among them, the CPU mainly processes an operating system, a user interface, and an application program; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; and the modem is used for processing wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 301, but can be implemented by a separate chip.

[0168] The memory 305 can include a random access memory (RAM) and can also include a read-only memory (ROM). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 305 can also be at least one storage device located away from the aforementioned processor 301. Referring to Figure 3 The memory 305 as a computer storage medium can include an operating system, a network communication module, a user interface module, and an application program of an online monitoring method of a power transformer.

[0169] In Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an interface for the user to input, and obtain data input by the user; and the processor 301 can be used to invoke an application program of the power transformer online monitoring method stored in the memory 305, which, when executed by one or more processors 301, causes the electronic device 300 to perform the method described in one or more of the above embodiments. It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all described as a combination of a series of actions, but those skilled in the art should know that the present application is not limited to the order of the actions described, because according to the present application, certain steps can be performed in other order or at the same time. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0170] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0171] In several embodiments provided by the present application, it should be understood that the disclosed device or system can be implemented in other ways. For example, the device or system embodiments described above are only schematic. The division of units is only a logical function division. There can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different units, can be indirect couplings or communication connections through some interfaces, devices or units, and can be electrical or other forms.

[0172] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e. they can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0173] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically independently, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0174] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable memory. Based on such understanding, the technical solutions of the present application essentially or say the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a memory and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The aforementioned memory includes: a U disk, a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0175] The above is only exemplary embodiments of the present disclosure, and cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the disclosure.

[0176] The present application is intended to cover any variations, uses or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not recorded in the present disclosure.

Claims

1. A method for on-line monitoring of grounding resistance, characterized in that, The method comprises: obtaining geological information of multiple substations along a railway, determining geological types to which the substations belong, and obtaining reference resistance threshold curves corresponding to the geological types under different power consumption environments; the different power consumption environments are used to represent different electrical loads and interference states of a railway power system due to train operation or non-operation, and are divided into train operation period and non-operation period; at the starting time of the different power consumption environments, collecting first grounding resistance values of branch nodes in a grounding network of the substations, and calculating a second grounding resistance value of the grounding network according to the first grounding resistance values; the calculation of the second grounding resistance value of the grounding network according to the first grounding resistance values comprises: obtaining topological structure information of the grounding network, constructing a spatial structure model of the grounding network according to the topological structure information, determining equivalent coverage spaces of initial nodes according to the spatial structure model, and determining initial nodes in the equivalent coverage spaces within a preset coverage space threshold as branch nodes; according to the circuit structure relationship between the first grounding resistance values and the branch nodes, the second grounding resistance value of the grounding network is calculated; obtaining soil characteristic parameters of coverage areas of the branch nodes, and determining a comprehensive resistance correction amount of the soil characteristic parameters to the second grounding resistance value; the soil characteristic parameters include soil temperature parameters and soil humidity parameters, and the obtaining of the soil characteristic parameters of the coverage areas of the branch nodes and the determination of the comprehensive resistance correction amount of the soil characteristic parameters to the second grounding resistance value comprise: comparing the soil temperature parameters and the soil humidity parameters with reference soil temperature parameters and reference soil humidity parameters of the geological types respectively to obtain soil temperature deviation values and soil humidity deviation values; querying temperature influence factors corresponding to the soil temperature deviation values and humidity influence factors corresponding to the soil humidity deviation values from a resistance influence factor library respectively; according to the temperature influence factors and the humidity influence factors, initial resistance correction amounts of the soil characteristic parameters to the first grounding resistance values are calculated; according to the circuit structure relationship, the initial resistance correction amounts are integrated and calculated to obtain a comprehensive resistance correction amount acting on the second grounding resistance value; adjusting the reference resistance threshold curves according to the second grounding resistance value and the comprehensive resistance correction amount to obtain target resistance threshold curves; according to a running schedule of the different power consumption environments, curve parts of corresponding periods in the target resistance threshold curves are denoised to obtain final resistance threshold curves; the denoising of the curve parts of the corresponding periods in the target resistance threshold curves according to the running schedule of the different power consumption environments to obtain the final resistance threshold curves comprises: According to the operation schedule, the target resistance threshold curve is divided into a train operation period and a train non-operation period; for the curve part of the train operation period, a wavelet transform is used to decompose to obtain high-frequency noise and low-frequency baseline, and periodic fluctuation characteristics caused by train operation are extracted; an adaptive filter is constructed based on the periodic fluctuation characteristics, and the curve part of the train operation period is filtered; the filtered curve part is spliced with the curve part of the train non-operation period to obtain a final resistance threshold curve; The third grounding resistance value of the grounding network is acquired in real time, and when the third grounding resistance value exceeds the corresponding threshold value of the final resistance threshold curve, an alarm information is generated.

2. The method of claim 1, wherein, The system comprises: The geological information of the multiple substations along the railway is acquired, the geological type of each substation is determined, and the reference resistance threshold curve of the geological type under different power consumption environments is acquired, comprising: The geological information of the multiple substations along the railway is acquired, the geological information is matched with a preset standard geological type, and the geological type of each substation is determined; The historical resistance threshold curve corresponding to the geological type is acquired from a geological type database; 3. The method of claim 1, wherein, The reference curve segment of the same historical period under different power consumption environments is intercepted from the historical resistance threshold curve, and the reference curve segment is determined as the reference resistance threshold curve. The second grounding resistance value of the grounding network is calculated according to the circuit structure relationship between each first grounding resistance value and each branch node, comprising: The discharge paths from the main branch to the terminal branch in the grounding network are determined according to the circuit structure relationship between each branch node; The sum of the series resistance values of the first resistance values of a plurality of branch nodes on each discharge path is calculated to obtain the total resistance of each discharge path; 4. The method of claim 1, wherein, The target discharge path with the smallest total resistance is selected from all the discharge paths, and the total resistance of the target discharge path is determined as the second grounding resistance value of the grounding network. The third grounding resistance value of the grounding network is acquired in real time, and when the third grounding resistance value exceeds the corresponding threshold value of the final resistance threshold curve, an alarm information is generated, comprising: The third grounding resistance value of the grounding network is acquired in real time, and the curve value at the same time as the third grounding resistance value is acquired from the final resistance threshold curve according to a system timestamp; The curve value is processed by applying a cubic exponential smoothing algorithm to obtain the corresponding threshold value at the corresponding time, and the smoothing coefficient of the cubic exponential smoothing algorithm is determined by minimizing the mean square error; 5. An on-line monitoring system for grounding resistance, characterized by, The third grounding resistance value is compared with the corresponding threshold value, and when the third grounding resistance value exceeds the corresponding threshold value, an alarm information is generated. The system comprises: The initialization module is configured to acquire geological information of a plurality of substations along a railway line, determine geological types to which the substations belong, and acquire a reference resistance threshold curve corresponding to the geological types under different power consumption environments; the different power consumption environments are used to represent different electrical loads and interference states of a railway power system due to whether a train is running or not, and are divided into a train running period and a non-running period; The calculation module is configured to collect first grounding resistance values of branch nodes in a grounding network of the substations at a starting time of the different power consumption environments, and calculate a second grounding resistance value of the grounding network according to the first grounding resistance values; the calculation of the second grounding resistance value of the grounding network according to the first grounding resistance values includes: acquiring topological structure information of the grounding network, constructing a spatial structure model of the grounding network according to the topological structure information; determining an equivalent coverage space of each initial node according to the spatial structure model, and determining an initial node in the equivalent coverage space within a preset coverage space threshold as a branch node; calculating the second grounding resistance value of the grounding network according to a circuit structure relationship between the first grounding resistance values and the branch nodes; The correction module is configured to acquire soil characteristic parameters of coverage areas of the branch nodes, and determine a comprehensive resistance correction amount of the soil characteristic parameters on the second grounding resistance value; the soil characteristic parameters include soil temperature parameters and soil humidity parameters, and the acquisition of the soil characteristic parameters of the coverage areas of the branch nodes and the determination of the comprehensive resistance correction amount of the soil characteristic parameters on the second grounding resistance value include: comparing the soil temperature parameters and the soil humidity parameters with reference soil temperature parameters and reference soil humidity parameters of the geological types respectively to obtain soil temperature deviation values and soil humidity deviation values; querying a temperature influence factor corresponding to the soil temperature deviation values and a humidity influence factor corresponding to the soil humidity deviation values from a resistance influence factor library respectively; calculating initial resistance correction amounts of the soil characteristic parameters on the first grounding resistance values according to the temperature influence factor and the humidity influence factor; and integrating and calculating the initial resistance correction amounts according to the circuit structure relationship to obtain the comprehensive resistance correction amount acting on the second grounding resistance value; The adjustment module is configured to adjust the reference resistance threshold curve according to the second grounding resistance value and the comprehensive resistance correction amount to obtain a target resistance threshold curve. The processing module is configured to perform denoising processing on a curve part corresponding to a time period in the target resistance threshold curve according to a running schedule of the different power consumption environments, to obtain a final resistance threshold curve. The denoising processing on the curve part corresponding to the time period in the target resistance threshold curve according to the running schedule of the different power consumption environments, to obtain the final resistance threshold curve, includes: dividing the target resistance threshold curve into a train running time period and a train non-running time period according to the running schedule; using wavelet transform decomposition to obtain high-frequency noise and low-frequency baseline for the curve part of the train running time period, and extracting periodic fluctuation characteristics caused by train running; constructing an adaptive filter based on the periodic fluctuation characteristics, and performing filter processing on the curve part of the train running time period; and splicing the curve part after the filter processing and the curve part of the train non-running time period, to obtain the final resistance threshold curve. The monitoring module is configured to acquire a third grounding resistance value of the grounding network in real time, and generate an alarm information when the third grounding resistance value exceeds a corresponding threshold value of the final resistance threshold curve.

6. A computer storage medium, characterized in that, The computer storage medium stores a plurality of instructions, which are suitable for being loaded and executed by the processor to perform the method in any one of claims 1-4.

7. An electronic device, comprising: The electronic device includes a processor, a memory, and a transceiver. The memory is configured to store instructions. The transceiver is configured to communicate with other devices. The processor is configured to execute the instructions stored in the memory, so that the electronic device performs the method in any one of claims 1-4.

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