A real-time monitoring system for ground grid potential of high-speed railway traction substation
Patent Information
- Application Number
- CN202510050456.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-13
- Publication Date
- 2026-10-09
AI Technical Summary
[0004]针对上述方案,本发明申请人发现上述技术问题至少存在如下技术问题:上述发明主要是整合的土壤电阻率、跨步电压、接触电压、电气完整性、接地电阻、地网回流等多项接地参量实现在线监测,但并未从将地下接地网实行各节点划分的角度划分,进而就无法实现准确且高效的接地网监测,不能快速的得知各节点对应的电位监测情况,无法对各波动节点与相邻节点进行高效的电位差值比对,从而未能实现精准的接地网腐蚀监测,实行高效的腐蚀维护,降低了高速铁路牵引变电所对应的接地网的运行安全,加大因电位异常导致的设备损坏的风险
[0010] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention provides a real-time monitoring system for the grounding potential of high-speed railway traction substations. By screening out the nodes corresponding to the underground grounding network for monitoring, and then placing monitoring sensors corresponding to each node according to monitoring needs, the potential of each node is monitored, and the potential state between each fluctuating node and its adjacent nodes is determined. This allows for corrosion monitoring between each fluctuating node and its adjacent nodes, determining the corresponding state between each fluctuating node and its adjacent nodes, and analyzing the corresponding corrosion repair between each fluctuating node and its adjacent nodes. This achieves efficient protection of the operation and maintenance safety of high-speed railway travel, improves the efficiency of grounding potential monitoring in high-speed railway traction substations, promptly detects potential grounding faults and insulation problems, reduces the risk of electric shock, solves the shortcomings of current technologies, effectively ensures the safe operation of high-speed railways, enables timely maintenance when the grounding network is corroded, reduces equipment maintenance costs, ensures the stability and effectiveness of power supply to the high-speed railway corresponding to the traction substation, improves the efficiency of high-speed railway travel, ensures the punctuality of railway trains, enhances the safety, stability, and operation and maintenance efficiency of high-speed railway operation, and provides strong monitoring support for high-speed railway operation.
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Figure CN122882792A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of ground grid potential monitoring technology, specifically to a real-time monitoring system for the ground grid potential of a high-speed railway traction substation. Background Technology
[0002] With the increasing application and popularization of railway travel, it is necessary to perform real-time monitoring of the grounding potential corresponding to the traction substation of high-speed railways to ensure the high efficiency and safety of high-speed railway operation. By screening out the nodes corresponding to the underground grounding network for monitoring, the potential of each node is monitored. Based on the monitoring status of the potential of each node, it is determined whether the grounding network is at risk of corrosion, so as to carry out timely repair and prevention and ensure the safe operation and maintenance of high-speed railways.
[0003] Existing technology, such as the invention patent application CN111273193A, discloses a comprehensive online grounding monitoring system for railway traction substations. This system includes: a comprehensive online grounding monitoring cabinet for the traction substation and soil resistivity monitoring boxes, step voltage monitoring boxes, contact voltage monitoring boxes, electrical integrity monitoring boxes, grounding resistance monitoring boxes, and grounding grid return current monitoring boxes, all connected to the cabinet. The beneficial effect is that, through communication with the monitoring center's host computer via a communication module, an intelligent comprehensive online grounding monitoring system is formed, displaying various monitoring results and alarm information in real time. This enables online monitoring of multiple grounding parameters, including integrated soil resistivity, step voltage, contact voltage, electrical integrity, grounding resistance, and grounding grid return current, providing a comprehensive reflection of the grounding system's condition and improving the overall monitoring effect.
[0004] Regarding the above-mentioned solutions, the applicant of this invention has discovered at least the following technical problems: The above-mentioned invention mainly integrates multiple grounding parameters such as soil resistivity, step voltage, contact voltage, electrical integrity, grounding resistance, and grounding grid return current to achieve online monitoring, but it does not divide the underground grounding grid into nodes. Consequently, it cannot achieve accurate and efficient grounding grid monitoring, cannot quickly determine the potential monitoring status of each node, and cannot efficiently compare the potential difference between each fluctuating node and adjacent nodes. Therefore, it fails to achieve accurate grounding grid corrosion monitoring and efficient corrosion maintenance, reduces the operational safety of the grounding grid corresponding to high-speed railway traction substations, and increases the risk of equipment damage caused by potential anomalies. Summary of the Invention
[0005] To address the aforementioned technical shortcomings, the purpose of this invention is to provide a real-time monitoring system for the grounding potential of high-speed railway traction substations.
[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: The present invention provides a real-time monitoring system for the grounding potential of a high-speed railway traction substation, comprising: a node setting module, used to perform real-time monitoring of the underground grounding grid of the corresponding high-speed railway traction substation, by screening out each node corresponding to the monitoring of the underground grounding grid, and placing the monitoring sensors corresponding to each node according to the monitoring requirements.
[0007] The ground grid potential monitoring module is used to monitor the potential of each node, thereby monitoring whether the potential of each node is normal, and monitoring the potential difference between each fluctuating node and its adjacent nodes to determine the potential status between each fluctuating node and its adjacent nodes.
[0008] The ground potential analysis module is used to monitor the corrosion between each fluctuating node and its adjacent nodes, determine the corresponding state between each fluctuating node and its adjacent nodes, and analyze the corresponding corrosion repair between each fluctuating node and its adjacent nodes.
[0009] The early warning terminal is used to provide early warnings when the potential of a certain node shows an abnormal increase, the potential distribution between a fluctuating node and its adjacent nodes is uneven, or corrosion occurs between a fluctuating node and its adjacent nodes.
[0010] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention provides a real-time monitoring system for the grounding potential of high-speed railway traction substations. By screening out the nodes corresponding to the underground grounding network for monitoring, and then placing monitoring sensors corresponding to each node according to monitoring needs, the potential of each node is monitored, and the potential state between each fluctuating node and its adjacent nodes is determined. This allows for corrosion monitoring between each fluctuating node and its adjacent nodes, determining the corresponding state between each fluctuating node and its adjacent nodes, and analyzing the corresponding corrosion repair between each fluctuating node and its adjacent nodes. This achieves efficient protection of the operation and maintenance safety of high-speed railway travel, improves the efficiency of grounding potential monitoring in high-speed railway traction substations, promptly detects potential grounding faults and insulation problems, reduces the risk of electric shock, solves the shortcomings of current technologies, effectively ensures the safe operation of high-speed railways, enables timely maintenance when the grounding network is corroded, reduces equipment maintenance costs, ensures the stability and effectiveness of power supply to the high-speed railway corresponding to the traction substation, improves the efficiency of high-speed railway travel, ensures the punctuality of railway trains, enhances the safety, stability, and operation and maintenance efficiency of high-speed railway operation, and provides strong monitoring support for high-speed railway operation. Attached Figure Description
[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0012] Figure 1 This is a schematic diagram of the system structure connection of the present invention. Detailed Implementation
[0013] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0014] Please see Figure 1 As shown, a real-time monitoring system for the ground grid potential of a high-speed railway traction substation includes a node setting module, a ground grid potential monitoring module, a ground grid potential analysis module, an early warning terminal, and a database.
[0015] The node setting module is connected to the ground grid potential monitoring module and the database, respectively. The ground grid potential monitoring module is connected to the ground grid potential analysis module, the database and the early warning terminal, respectively. The ground grid potential analysis module is connected to the database and the early warning terminal, respectively.
[0016] The node setting module is used to perform real-time monitoring of the underground grounding network of the corresponding traction substation of high-speed railway. It filters out the nodes corresponding to be monitored in the underground grounding network and places the monitoring sensors corresponding to each node according to the monitoring requirements.
[0017] It should be noted that for each historical reference placement node: the selected placement positions of the underground grounding grid corresponding to each monitoring point are obtained from the database. The number of placements of each selected placement position corresponding to the underground grounding grid is counted, and the selected placement positions of the underground grounding grid corresponding to each monitoring point are arranged in order of the number of placements. Then, the corresponding selected placement positions are selected from high to low according to the number of fixed nodes. For example, if the number of fixed nodes is 10, then the selected positions are 1-10. This is how the historical reference placement nodes corresponding to the underground grounding grid are obtained.
[0018] As an optional implementation method, the specific screening process for each monitoring node corresponding to the underground grounding grid is as follows: The design draft of the grounding grid established in the traction substation is retrieved from the database. Key connection points corresponding to the underground grounding grid are extracted from the design draft. These key connection points are compared with historical reference placement nodes of the underground grounding grid stored in the database. If a key connection point of the underground grounding grid is the same as a historical reference placement node of the underground grounding grid stored in the database, then that key connection point is designated as the monitoring node corresponding to the underground grounding grid. This process is repeated to screen out each monitoring node corresponding to the underground grounding grid.
[0019] As an optional implementation, the monitoring requirements include ground grid potential monitoring and ground grid corrosion monitoring.
[0020] The ground grid potential monitoring module is used to monitor the potential of each node, thereby monitoring whether the potential of each node is normal, and monitoring the potential difference between each fluctuating node and its adjacent nodes to determine the potential status between each fluctuating node and its adjacent nodes.
[0021] It should be noted that the sensors include a grounding resistance meter, a potential sensor, and a humidity sensor.
[0022] It should be noted that the reference environmental humidity range is obtained from the safety certificate issued by the manufacturer. Before installing the grounding grid, it is necessary to find the manufacturer and purchase the corresponding grounding grid materials. When the manufacturer provides the materials for sale, it is necessary to conduct a corresponding moisture resistance test on the grounding materials in advance. The grounding grid materials are placed in soils of various moisture levels in order of increasing humidity, and a uniform observation period is set. When the time is up, the surface of the grounding grid materials is observed. When the surface of the grounding grid materials in a certain moisture level soil shows rust, the soils with moisture levels lower than that soil are taken as the safe humidity for placing the grounding grid materials, thus obtaining the reference environmental humidity range.
[0023] It should also be noted that the historical reference potential difference range is obtained from the instruction manual provided by the manufacturer. Before the grounding grid is installed, it is necessary to find the manufacturer to purchase the corresponding grounding grid materials. When the manufacturer provides the materials for sale, it is necessary to conduct the corresponding potential test on the grounding materials in advance and perform the corresponding potential difference calculation to obtain the historical reference potential difference range.
[0024] As an optional implementation, the potential of each node is monitored to determine whether the potential of each node is normal. The specific monitoring process is as follows: based on the selected nodes, sensors are deployed at each node, and monitoring time periods are set during the monitoring process of each sensor to obtain the monitoring data corresponding to each node. The monitoring data includes instantaneous potential, ambient humidity and grounding resistance.
[0025] When the ambient humidity corresponding to each node is within the preset reference ambient humidity range, if the instantaneous potential and grounding resistance of a certain node during a certain monitoring period show an increasing trend, then the potential of that node is determined to be abnormal, and the node is recorded as a fluctuating node. If the instantaneous potential and grounding resistance of a certain node during a certain monitoring period show a decreasing trend, then the potential of that node is determined to be abnormal, and the node is recorded as a fluctuating node. If the instantaneous potential and grounding resistance of a certain node during a certain monitoring period show a flat trend, then the potential of that node is determined to be normal. This method is used to monitor whether the potential of each node is normal.
[0026] As an optional implementation, the determination of the potential state between each fluctuating node and its adjacent nodes is carried out as follows: Check whether there are potential sensors between each fluctuating node and its adjacent nodes. If no potential sensors are found, then the corresponding potential sensors are deployed. After deployment, potential monitoring is performed between each fluctuating node and its adjacent nodes to obtain the potential values corresponding to each fluctuating node and its adjacent nodes. The corresponding difference is calculated to obtain the potential difference between each fluctuating node and its adjacent nodes. The potential difference between each fluctuating node and its adjacent nodes is compared with the historical reference potential difference range stored in the database. If the potential difference between a fluctuating node and its adjacent nodes is not within the historical reference potential difference range stored in the database, then the potential state between that fluctuating node and its adjacent nodes is determined to be abnormal. If the potential difference between a fluctuating node and its adjacent nodes is within the historical reference potential difference range stored in the database, then the potential state between that fluctuating node and its adjacent nodes is determined to be normal. This is how the potential state between each fluctuating node and its adjacent nodes is determined.
[0027] The ground potential analysis module is used to monitor the corrosion between each fluctuating node and its adjacent nodes, determine the corresponding state between each fluctuating node and its adjacent nodes, and analyze the corresponding corrosion repair between each fluctuating node and its adjacent nodes.
[0028] It should be noted that the selection of the corresponding prediction model involves engineers setting up various prediction models in the ground network monitoring system, including linear regression, deep learning, neural networks, and random forests. The selection of the prediction model is based on the features corresponding to each model. Specifically, the deep learning prediction model is characterized by predicting large datasets, the linear regression prediction model by predicting small datasets, and the random forest or neural network prediction model by providing high-precision predictions. The selection of the corresponding prediction model is based on the state requirements corresponding to each anomaly location and the features of each model.
[0029] It should be noted that the type of grounding material used in the grounding grid is obtained from the database, such as zinc-clad steel, copper-clad steel, stainless steel clad steel, or aluminum-magnesium alloy clad steel, and then the corrosion resistance time of the grounding material is obtained from the specifications of the grounding material type.
[0030] It should be noted that the corrosion levels include slight, moderate and high, and the standard for each corrosion assessment coefficient level is as follows: for example, 1-5 is slight, and 6-10 is high.
[0031] It should be noted that the corrosion assessment coefficient levels are based on standards obtained from the safety certificates issued by the manufacturers. When supplying materials for sale, manufacturers must conduct corresponding corrosion tests on each grounding grid material beforehand. The grounding grid materials are placed in soils of varying moisture levels, from highest to lowest, with a uniform observation period set. At the end of the observation period, the surface of the grounding grid materials is observed. If a grounding grid material in a soil with a certain moisture level shows full-scale rust, it is recorded as highly corroded; if it shows surface micro-rust, it is recorded as slightly corroded. This is how the corrosion assessment coefficient levels are derived.
[0032] As an optional implementation, the corrosion monitoring between each fluctuating node and its adjacent nodes is carried out as follows: Corrosion current monitoring instruments and conductivity meters are deployed between each fluctuating node and its adjacent nodes. The corrosion current monitoring instruments are used to monitor the current at each abnormal location, and the conductivity meters are used to monitor the soil between each fluctuating node and its adjacent nodes. Corrosion monitoring information between each fluctuating node and its adjacent nodes is obtained, including corrosion current, soil conductivity, and corrosion resistance time of the grounding material.
[0033] As an optional implementation, the specific judgment process for determining the state corresponding to each abnormal location is as follows: By selecting the corresponding prediction model, the corrosion monitoring information corresponding to each fluctuation node and its adjacent nodes is input into the prediction model, and the corrosion evaluation coefficient corresponding to each fluctuation node and its adjacent nodes is obtained by analysis. When the output corrosion evaluation result is 1, it is determined that the fluctuation node and its adjacent nodes are in a corroded state. When the output corrosion evaluation result is 0, it is determined that the fluctuation node and its adjacent nodes are in a non-corroded state. This is how the state corresponding to each fluctuation node and its adjacent nodes is determined.
[0034] As an optional implementation, the analysis obtains the corrosion assessment coefficients corresponding to each fluctuation node and its adjacent nodes. The specific analysis process is as follows: Based on the normalization processing of the corrosion monitoring information corresponding to each fluctuation node and its adjacent nodes, the corrosion current, soil conductivity, and corrosion resistance time of the grounding material corresponding to each abnormal location are denoted as Y. z L z and C z .
[0035] Through calculation formula The analysis yields the corrosion assessment coefficient μz between the z-th fluctuating node and its adjacent nodes, where z is the node number (z = 1, 2, ..., p), and p is any integer greater than 2. z Let L be the corrosion current between the z-th fluctuating node and its adjacent node. z Let C be the soil electrical conductivity between the z-th fluctuation node and its adjacent nodes. z Let K1 be the corrosion resistance time of the grounding material between the z-th fluctuation node and the adjacent node, K2 be the weighting factors of the corrosion current and the soil conductivity, M be the reference corrosion coefficient, and 0 < K1 < 1, 0 < K2 < 1.
[0036] It should be noted that the set corrosion current, set soil conductivity, and reference corrosion coefficient are obtained from the instruction manual provided by the manufacturer. When the manufacturer provides the materials for sale, it needs to conduct corresponding grounding grid corrosion tests on the grounding materials in advance. By monitoring the corrosion current and soil conductivity of each grounding material under various soil moisture conditions, when an abnormality is detected in the corrosion current and soil conductivity of a certain grounding material under a certain soil moisture condition, the test is stopped and the test value corresponding to the abnormal time is recorded. In this way, the set corrosion current, set soil conductivity, and reference corrosion coefficient are obtained. The reference corrosion coefficient represents the critical value.
[0037] It should also be noted that the weighting factors of corrosion current and soil conductivity are calculated using the CRI TIC weighting method. The contrast intensity and conflict index are multiplied and normalized to obtain the final weights.
[0038] It should be noted again that the CRI TIC weighting method is an objective weighting method. It determines the objective weights of indicators based on two basic concepts: the comparative strength is the size of the difference between the values of various evaluation schemes for the same indicator, which is expressed using the standard deviation; and the conflict is expressed using the correlation coefficient.
[0039] As an optional implementation method, the analysis obtains the corrosion repair corresponding to each fluctuating node and its adjacent nodes. The specific analysis process is as follows: The corrosion assessment coefficients corresponding to each fluctuating node and its adjacent nodes are arranged in descending order, and the corrosion assessment coefficient level standards of historical repairs are obtained from the database. The corrosion assessment coefficients corresponding to each fluctuating node and its adjacent nodes are compared with the corrosion assessment coefficient level standards of historical repairs obtained from the database in turn to classify the corrosion level corresponding to each fluctuating node and its adjacent nodes. If the corrosion level corresponding to a fluctuating node and its adjacent nodes is mild, maintenance personnel are arranged to apply anti-corrosion material to the grounding electrode at that location. If the corrosion level corresponding to a fluctuating node and its adjacent nodes is severe, maintenance personnel are arranged to replace the grounding electrode at that location. In this way, the corrosion repair corresponding to each fluctuating node and its adjacent nodes is obtained.
[0040] The database is used to store information on key connections, monitoring requirements, monitoring data, historical reference potential difference ranges, corrosion monitoring information, and standards for various corrosion assessment coefficient levels.
[0041] The early warning terminal is used to provide early warnings when the potential of a certain node shows an abnormal increase, the potential distribution between a fluctuating node and its adjacent nodes is uneven, or corrosion occurs between a fluctuating node and its adjacent nodes.
[0042] This invention, through screening out the nodes corresponding to the underground grounding grid for monitoring, and then placing monitoring sensors for each node according to monitoring needs, monitors the potential of each node, determines the potential state between each fluctuating node and its adjacent nodes, and performs corrosion monitoring between each fluctuating node and its adjacent nodes. It then analyzes the corresponding corrosion repair between each fluctuating node and its adjacent nodes, thereby achieving efficient protection of the operation and maintenance safety of high-speed railway travel, improving the efficiency of grounding grid potential monitoring in high-speed railway traction substations, timely detection of potential grounding faults and insulation problems, reducing the risk of electric shock, and solving the shortcomings of current technologies. It effectively ensures the safe operation of high-speed railways, enables timely maintenance when the grounding grid shows signs of corrosion, reduces equipment maintenance costs, ensures the stability and effectiveness of power supply to high-speed railways corresponding to traction substations, improves the efficiency of high-speed railway travel, ensures the punctuality of trains, and enhances the safety, stability, and operation and maintenance efficiency of high-speed railway operation, providing strong monitoring support for high-speed railway operation.
[0043] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.
Claims
1. A real-time monitoring system for the ground grid potential of a high-speed railway traction substation, characterized in that, include: The node setting module is used to perform real-time monitoring of the underground grounding network of the corresponding traction substation of the high-speed railway. It filters out the nodes of the underground grounding network to be monitored and places the monitoring sensors corresponding to each node according to the monitoring requirements. The ground grid potential monitoring module is used to monitor the potential of each node, thereby monitoring whether the potential of each node is normal, and monitoring the potential difference between each fluctuating node and its adjacent nodes to determine the potential status between each fluctuating node and its adjacent nodes. The ground potential analysis module is used to monitor the corrosion between each fluctuating node and its adjacent nodes, determine the corresponding state between each fluctuating node and its adjacent nodes, and analyze the corresponding corrosion repair between each fluctuating node and its adjacent nodes. The early warning terminal is used to provide early warnings when the potential of a certain node shows an abnormal increase, the potential distribution between a fluctuating node and its adjacent nodes is uneven, or corrosion occurs between a fluctuating node and its adjacent nodes.
2. The real-time monitoring system for ground grid potential of a high-speed railway traction substation as described in claim 1, characterized in that, The specific screening process for identifying the monitoring nodes corresponding to the underground grounding grid is as follows: The design draft of the grounding grid for the traction substation is retrieved from the database. The key connection points of the underground grounding grid are extracted from the design draft. The key connection points of the underground grounding grid are compared with the historical reference placement nodes of the underground grounding grid stored in the database. If a key connection point of the underground grounding grid is the same as a historical reference placement node of the underground grounding grid stored in the database, then the key connection point is taken as the monitoring node of the underground grounding grid. This comparison is repeated to select the monitoring nodes of the underground grounding grid.
3. The real-time monitoring system for ground grid potential of a high-speed railway traction substation as described in claim 1, characterized in that, The monitoring requirements include ground grid potential monitoring and ground grid corrosion monitoring.
4. The real-time monitoring system for ground grid potential of a high-speed railway traction substation as described in claim 1, characterized in that, The process of monitoring the potential of each node to determine whether the potential of each node is normal is as follows: Based on the selected nodes, sensors are then deployed at each node, and monitoring time periods are set during the monitoring process of each sensor to obtain the monitoring data corresponding to each node. The monitoring data includes instantaneous potential, ambient humidity, and grounding resistance. When the ambient humidity corresponding to each node is within the preset reference ambient humidity range, if the instantaneous potential and grounding resistance of a certain node during a certain monitoring period show an increasing trend, then the potential of that node is determined to be abnormal, and the node is recorded as a fluctuating node. If the instantaneous potential and grounding resistance of a certain node during a certain monitoring period show a decreasing trend, then the potential of that node is determined to be abnormal, and the node is recorded as a fluctuating node. If the instantaneous potential and grounding resistance of a certain node during a certain monitoring period show a flat trend, then the potential of that node is determined to be normal. This method is used to monitor whether the potential of each node is normal.
5. A real-time monitoring system for the ground grid potential of a high-speed railway traction substation as described in claim 1, characterized in that, The determination process obtains the potential state between each fluctuating node and its adjacent nodes. The specific determination process is as follows: Check whether there are potential sensors between each fluctuating node and its adjacent nodes. If no potential sensors are found, deploy the corresponding potential sensors. After deployment, monitor the potential between each fluctuating node and its adjacent nodes to obtain the potential values of each fluctuating node and its adjacent nodes. Calculate the corresponding difference to obtain the potential difference between each fluctuating node and its adjacent nodes. Compare the potential difference between each fluctuating node and its adjacent nodes with the historical reference potential difference range stored in the database. If the potential difference between a fluctuating node and its adjacent nodes is not within the historical reference potential difference range stored in the database, the potential state between that fluctuating node and its adjacent nodes is determined to be abnormal. If the potential difference between a fluctuating node and its adjacent nodes is within the historical reference potential difference range stored in the database, the potential state between that fluctuating node and its adjacent nodes is determined to be normal. This is how the potential state between each fluctuating node and its adjacent nodes is determined.
6. A real-time monitoring system for the ground grid potential of a high-speed railway traction substation as described in claim 1, characterized in that, Corrosion monitoring is performed on each fluctuating node and its adjacent nodes. The specific monitoring process is as follows: Corrosion current monitoring instruments and conductivity meters are deployed between each fluctuation node and adjacent nodes. The corrosion current monitoring instruments are used to monitor the current at each abnormal location, and the conductivity meters are used to monitor the soil between each fluctuation node and adjacent nodes. Corrosion monitoring information between each fluctuation node and adjacent nodes is obtained, including corrosion current, soil conductivity, and corrosion resistance time of grounding material.
7. A real-time monitoring system for the ground grid potential of a high-speed railway traction substation as described in claim 6, characterized in that, The specific process for determining the state corresponding to each abnormal location is as follows: By selecting the corresponding prediction model, the corrosion monitoring information between each fluctuating node and its adjacent nodes is input into the prediction model. The corrosion assessment coefficient between each fluctuating node and its adjacent nodes is obtained by analysis. When the output corrosion assessment result is 1, it is determined that the fluctuating node and its adjacent nodes are in a corroded state. When the output corrosion assessment result is 0, it is determined that the fluctuating node and its adjacent nodes are in a non-corroded state. This is how the state between each fluctuating node and its adjacent nodes is determined.
8. A real-time monitoring system for the grounding potential of a high-speed railway traction substation as described in claim 1, characterized in that, The analysis yields the corrosion assessment coefficients between each fluctuation node and its adjacent nodes. The specific analysis process is as follows: Based on the normalization of corrosion monitoring information between each fluctuating node and its adjacent nodes, the corrosion current, soil conductivity, and corrosion resistance time of the grounding material corresponding to each abnormal location are denoted as Y. z L z and C z ; Through calculation formula The analysis yields the corrosion assessment coefficient μz between the z-th fluctuating node and its adjacent nodes, where z is the node number (z = 1, 2, ..., p), and p is any integer greater than 2. z Let L be the corrosion current between the z-th fluctuating node and its adjacent node. z Let C be the soil electrical conductivity between the z-th fluctuation node and its adjacent nodes. z Let K1 be the corrosion resistance time of the grounding material between the z-th fluctuation node and the adjacent node, K2 be the weighting factors of the corrosion current and the soil conductivity, M be the reference corrosion coefficient, and 0 < K1 < 1, 0 < K2 < 1.
9. A real-time monitoring system for the ground grid potential of a high-speed railway traction substation as described in claim 1, characterized in that, The analysis yielded the corrosion repair between each fluctuating node and its adjacent nodes. The specific analysis process is as follows: The corrosion assessment coefficients corresponding to each fluctuating node and its adjacent nodes are arranged in descending order. The corrosion assessment coefficient level standards of historical repairs are obtained from the database. The corrosion assessment coefficients corresponding to each fluctuating node and its adjacent nodes are compared with the corrosion assessment coefficient level standards of historical repairs obtained from the database in descending order to classify the corrosion level of each fluctuating node and its adjacent nodes. If the corrosion level of a fluctuating node and its adjacent nodes is mild, maintenance personnel are arranged to apply anti-corrosion material to the grounding electrode at that location. If the corrosion level of a fluctuating node and its adjacent nodes is severe, maintenance personnel are arranged to replace the grounding electrode at that location. In this way, the corrosion repair corresponding to each fluctuating node and its adjacent nodes is analyzed.
10. A real-time monitoring system for the ground grid potential of a high-speed railway traction substation as described in claim 1, characterized in that, The system also includes a database that stores information on key connections, monitoring requirements, monitoring data, historical reference potential difference ranges, corrosion monitoring information, and standards for various corrosion assessment coefficient levels.
Citation Information
Patent Citations
Comprehensive grounding online detection system applied to railway traction substation
CN111273193A