Multi-dimensional data grounding grid corrosion state monitoring method, system, equipment and medium
By employing a multi-dimensional data-driven grounding grid corrosion status monitoring method, combined with electrochemical three-electrode measurement and machine learning models, the accuracy problem of grounding grid corrosion status assessment and prediction has been solved. This enables real-time monitoring of grounding grid corrosion status and prediction of future trends, thereby improving the scientific nature of the assessment and the efficiency of operation and maintenance management.
Patent Information
- Application Number
- CN202511806489.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-03
- Publication Date
- 2026-03-06
AI Technical Summary
Existing technologies cannot accurately assess and predict the corrosion status of underground concealed grounding grids, mainly because they rely on periodic manual inspections and the data is discontinuous, making it impossible to conduct dynamic comparative analysis based on the initial health status.
A multidimensional data grounding grid corrosion status monitoring method is adopted. By combining an electrochemical three-electrode measurement system and a machine learning model with real-time monitoring and initial health baseline data, a dynamic and continuous corrosion status monitoring and prediction system is constructed. Multidimensional time series features are extracted using convolutional neural networks and long short-term memory networks to predict corrosion trends.
It enables real-time and accurate measurement of the corrosion status of the grounding grid and prediction of future trends, significantly improving the scientific nature of condition assessment and the efficiency of operation and maintenance management, and providing reliable technical support.
Smart Images

Figure CN121612948A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of corrosion condition monitoring technology, and in particular to a multi-dimensional data grounding grid corrosion condition monitoring method, system, equipment and medium. Background Technology
[0002] Newly built hydropower stations are generally located in mountainous valleys where the soil resistivity within the dam site area is high. To limit the rise of the power frequency voltage of the power station's grounding grid, in addition to making full use of the available metal objects in the underwater parts of the hydraulic structures within the power station as natural grounding electrodes, artificial grounding grids are also appropriately laid in underwater locations such as the dam and upstream of the power station to reduce the grounding resistance of the power station. Furthermore, to meet the requirements of the power station's contact potential and step potential, equalization potential grounding design should be implemented for high-voltage locations. The grounding grid, buried in the underground soil within the plant area or station, is a key device to ensure reliable production and personnel safety. During long-term operation, in the event of power faults such as lightning strikes or short circuits, the grounding device can discharge the fault current into the ground in a very short time, thereby ensuring production safety; simultaneously, the potential of the surface within the station can also be quickly reduced, thereby reducing step voltage and achieving the purpose of ensuring personnel safety.
[0003] However, grounding metal conductors operate in the complex underground environment for extended periods. Due to corrosion, the conductors delaminate, thin, and in severe cases, even break, affecting the effectiveness of the grounding system. Because the grounding grid is buried deep underground, fault or condition monitoring is difficult once construction is complete. Furthermore, during grounding grid construction, factors such as civil engineering excavation and construction quality management often lead to instances of missed burials or breaks in the grounding grid, further impacting the system's effectiveness. Therefore, it is necessary to propose a multi-dimensional data-driven grounding grid corrosion status monitoring method to provide a scientific basis for analyzing the condition of concealed underground access networks. Summary of the Invention
[0004] In view of the aforementioned existing problems, the present invention is proposed.
[0005] Therefore, this invention provides a multi-dimensional data grounding grid corrosion status monitoring method, system, equipment, and medium, which solves the problem that traditional methods rely on manual periodic inspections, have discontinuous data, and cannot be dynamically compared and analyzed in conjunction with the initial health status, thus failing to achieve accurate assessment and prediction of the corrosion status of underground concealed grounding grids.
[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for monitoring the corrosion status of a multi-dimensional data grounding grid, comprising: As a preferred embodiment of the multi-dimensional data grounding grid corrosion status monitoring method of the present invention, the evaluation of corrosion status includes: During the initial period of operation of the grounding grid, initial health baseline data are obtained through intensive monitoring. Based on the real-time monitoring results and the initial health baseline data, the impact of changes in environmental and operating parameters relative to the initial health baseline on the corrosion rate is quantified by a dynamic corrosion acceleration factor function. The instantaneous corrosion rate is corrected based on the dynamic corrosion acceleration factor function, and the cumulative corrosion depth is calculated as a direct indicator for evaluating the remaining cross-section and remaining life of the grounding grid conductor.
[0007] As a preferred embodiment of the multi-dimensional data grounding grid corrosion status monitoring method of the present invention, the corrosion status assessment further includes: Based on the cumulative corrosion depth, and compared with the original thickness of the grounding grid conductor, the remaining life and health index of the conductor at each monitoring point are evaluated. The cumulative corrosion depth and health index are compared with a first preset threshold. Based on the comparison results, the corrosion state is graded and a corresponding state assessment result is generated.
[0008] As a preferred embodiment of the multi-dimensional data grounding grid corrosion status monitoring method of the present invention, the step of predicting the corrosion development trend of the grounding grid using a pre-constructed first prediction model includes: The corrosion state time series features, environmental parameter time series features, and operational parameter time series features in the real-time monitoring results are fused to form multi-dimensional time series input data for prediction. The local features and spatial correlations of the multidimensional time series input data are extracted by the convolutional neural network in the pre-built first prediction model, and the time dependence and changing trend of the multidimensional time series input data are captured by the long short-term memory network. Based on the output of the first prediction model, the corrosion development trend and cumulative corrosion depth change trajectory of each monitoring point of the grounding grid are predicted in the future.
[0009] The beneficial effects of this preferred technical solution are: by comparing multi-dimensional data, the corrosion status of the grounding grid can be assessed and analyzed, which will effectively improve the convenience and effectiveness of the status analysis results and provide a scientific basis for the status analysis of underground hidden access networks.
[0010] As a preferred embodiment of the multi-dimensional data grounding grid corrosion status monitoring method of the present invention, the electrochemical three-electrode measurement system constructed by the current-constrained sensor and the metal of the grounding grid under test includes: Monitoring points are set up in high-risk corrosion areas of the grounding grid and near the grounding down conductors of key equipment. At each monitoring point, a current constraint sensor, a long-term reference electrode and an auxiliary electrode are installed. The current constraint sensor is divided into a ground connection area and a sensitive measurement area by an insulating trench. The ground connection area is electrically connected to the main grounding grid by exothermic welding, thereby limiting the exposed surface area of the sensitive measurement area. The long-lasting reference electrode and auxiliary electrode are arranged near the sensitive measurement area of the current-constrained sensor, encapsulated in a sensor probe filled with conductive clay, or arranged in a triangular pattern around the grounding conductor to form an electrochemical three-electrode measurement system.
[0011] As a preferred embodiment of the multi-dimensional data grounding grid corrosion status monitoring method of the present invention, the system circuit of the grounding grid corrosion monitoring device monitors the grounding grid corrosion in the following ways: The monitoring terminal deployed at each monitoring point integrates system circuitry and is configured to sequentially perform open-circuit potential monitoring, linear polarization resistance measurement, and electrochemical impedance spectroscopy measurement. The open-circuit potential monitoring system records the natural corrosion potential of the working electrode relative to the reference electrode over a long period of time to monitor changes in the activation or passivation state of the grounding grid metal. The potential scan within a small polarization range near the corrosion potential is applied by the linear polarization resistance measurement, the resulting polarization current is measured, and the instantaneous corrosion rate is calculated based on the area of the sensitive measurement region. The system impedance spectrum data is obtained by periodically applying sinusoidal perturbation signals with varying frequencies through electrochemical impedance spectroscopy. This data is used to analyze the double-layer characteristics of the metal interface and the state of the corrosion product film. Simultaneously, soil temperature, volumetric water content, and environmental parameters at the monitoring points are collected and recorded along with the measurement data.
[0012] The beneficial effects of this preferred technical solution are: it significantly improves the scientific nature, predictability, and operation and maintenance management efficiency of grounding grid condition assessment.
[0013] As a preferred embodiment of the multi-dimensional data grounding grid corrosion status monitoring method of the present invention, the integration, display, and early warning management through the substation grounding grid corrosion online monitoring and management platform includes: A B / S architecture-based online monitoring and management platform for substation grounding grid corrosion was constructed, which receives real-time monitoring data, status assessment results and prediction results uploaded by each monitoring terminal through a wireless communication network. On the graphical interface of the substation grounding grid corrosion online monitoring and management platform, the real-time health status and cumulative corrosion depth of each monitoring point are marked with different colors, using the substation plan as the base map, to achieve a panoramic visualization of the corrosion status. It provides real-time data dashboards that dynamically display instantaneous corrosion rates, corrosion potentials, and key parameters of soil temperature and humidity at each monitoring point, and supports user-defined time periods for multi-dimensional trend comparison analysis. Set early warning thresholds for cumulative corrosion depth and instantaneous corrosion rate. When the monitored data exceeds the threshold or abnormal fluctuations occur, automatically generate multi-level alarm information and link with the production management system to trigger the maintenance work order process.
[0014] Secondly, the present invention provides a multi-dimensional data grounding grid corrosion status monitoring system, comprising: The measurement system construction module is used to construct an electrochemical three-electrode measurement system using a current-constrained sensor and the metal of the ground grid under test. The corrosion monitoring module is used to monitor the corrosion of the grounding grid by constructing a grounding grid corrosion monitoring device based on the electrochemical three-electrode measurement system, and obtain real-time monitoring results. The analysis and prediction module is used to assess the corrosion status based on the real-time monitoring results and the initial health baseline data of the grounding grid at the beginning of its operation, and to predict the corrosion development trend of the grounding grid using a pre-built first prediction model. The visualization module is used to integrate and display the real-time monitoring results and prediction results through the substation grounding grid corrosion online monitoring and management platform, and to manage early warning, so as to realize the visualization of the grounding grid corrosion status.
[0015] Thirdly, the present invention provides an electronic device, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor executes the computer-executable instructions to implement the steps of a multi-dimensional data grounding grid corrosion status monitoring method.
[0016] Fourthly, the present invention provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of a multi-dimensional data grounding grid corrosion status monitoring method.
[0017] Compared with existing technologies, the advantages of this invention are as follows: By combining electrochemical three-electrode online monitoring technology with multi-dimensional environmental data and health baseline data established during the initial commissioning phase, this invention constructs a dynamic and continuous monitoring and prediction system for the corrosion status of underground concealed grounding grids. This invention not only achieves real-time and accurate measurement of the corrosion rate of underground concealed grounding grids, but also dynamically calculates the cumulative corrosion depth by integrating historical data and environmental factors, and uses machine learning models to predict future corrosion trends. Finally, all monitoring and evaluation results are centrally displayed and intelligently warned through a visualization platform, significantly improving the scientific rigor, predictability, and operational efficiency of grounding grid status assessment, providing reliable technical support for ensuring the long-term safe and stable operation of the power system. Attached Figure Description
[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. 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.
[0019] Figure 1 This is a schematic diagram of the overall process logic of a multi-dimensional data grounding grid corrosion status monitoring method provided in an embodiment of the present invention.
[0020] Figure 2 This is a schematic diagram of the multi-dimensional data monitoring interface of a multi-dimensional data grounding grid corrosion status monitoring method provided in an embodiment of the present invention. Detailed Implementation
[0021] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.
[0022] Example 1, referring to Figure 1 As one embodiment of the present invention, a multi-dimensional data grounding grid corrosion status monitoring method is provided, such as... Figure 1 The specific steps shown are as follows: S100: An electrochemical three-electrode measurement system is constructed using a current-constrained sensor and the metal of the ground grid under test. S200: The system circuit of the grounding grid corrosion monitoring device is built based on the electrochemical three-electrode measurement system to monitor the grounding grid corrosion and obtain real-time monitoring results; S300: Based on real-time monitoring results, combined with the initial health baseline data of the grounding grid at the beginning of its operation, the corrosion status is assessed, and the corrosion development trend of the grounding grid is predicted using a pre-built first prediction model. S400: Real-time monitoring and prediction results are integrated and displayed through the substation grounding grid corrosion online monitoring and management platform for early warning management, so as to realize the visualization of the grounding grid corrosion status.
[0023] It should be noted that, to address the problems of traditional methods that rely on periodic manual inspections, have discontinuous data, and cannot be dynamically compared and analyzed in conjunction with initial health status, thus failing to accurately assess and predict the corrosion status of underground concealed grounding grids, steps S100-S400 above combine electrochemical three-electrode online monitoring technology with multi-dimensional environmental data and health baseline data established during the initial commissioning phase to construct a dynamic and continuous grounding grid corrosion status monitoring and prediction system. This invention not only achieves real-time and accurate measurement of the corrosion rate of underground concealed grounding grids but also dynamically calculates the cumulative corrosion depth by integrating historical data and environmental factors, and uses machine learning models to predict future corrosion trends. Finally, all monitoring and assessment results are centrally displayed and intelligently warned through a visualization platform, significantly improving the scientific rigor, predictability, and operational efficiency of grounding grid status assessment, providing reliable technical support for ensuring the long-term safe and stable operation of the power system.
[0024] Example 2, refer to Figure 2 Based on the previous embodiment, this embodiment provides a specific implementation method for a multi-dimensional data grounding grid corrosion status monitoring method, which is used to illustrate the technical means employed in this method.
[0025] In this embodiment of the invention, step S100, which utilizes a current-constrained sensor and the metal of the ground grid under test to form an electrochemical three-electrode measurement system, includes the following sub-steps A1 to A3: In A1: Monitoring points are set up in high-risk corrosion areas of the grounding grid and near the grounding down conductors of key equipment. At each monitoring point, a current constraint sensor, a long-term reference electrode and an auxiliary electrode are installed. In A2: The current constraint sensor is divided into a grounding connection area and a sensitive measurement area by an insulating trench. The grounding connection area is electrically connected to the main grounding grid by exothermic welding, so that the exposed surface area of the sensitive measurement area is limited. In A3: The long-lasting reference electrode and auxiliary electrode are arranged near the sensitive measurement area of the current-constrained sensor, encapsulated in a sensor probe filled with conductive clay, or arranged in a triangular pattern around the grounding conductor to form an electrochemical three-electrode measurement system.
[0026] It should be noted that, based on the structure of the hydropower station's grounding grid and the geological survey report, monitoring points are arranged in high-risk corrosion areas and near the grounding down conductors of critical equipment. High-risk areas include: areas with low soil resistivity and high water content (such as near riverbeds or drainage ditches); the boundary between backfill and native soil; areas with suspected stray current interference; and areas near the junctions of different metal materials. The current-constrained sensor body is a conductor of the same material and specifications as the main grounding grid. Insulating trenches are created on its surface using laser etching or micromachining processes. These trenches divide the sensor conductor into a large grounding connection area and a small sensitive measurement area. The grounding connection area achieves a reliable, low-impedance, and permanent electrical connection with the main grounding grid through exothermic welding or other methods, ensuring that the sensor and the grounding grid are integrated and at the same potential. The sensitive measurement area is isolated by the insulating trenches, and its exposed surface area (A_we) is precisely defined. All measured electrochemical currents (typically in the microampere range) are forced through this known, fixed sensitive area, thus providing a precise geometric basis for subsequent corrosion rate calculations.
[0027] It should be noted that at each monitoring point, a current-constrained sensor, a long-lasting reference electrode, and an auxiliary electrode are encapsulated together in a corrosion-resistant sensor probe filled with special conductive clay (to ensure ion conduction), or arranged in a triangular pattern around the grounding conductor. A key requirement is that the long-lasting reference electrode must be as close as possible to the sensitive measurement area of the current-constrained sensor to minimize potential measurement errors caused by solution resistance.
[0028] It should be noted that step S100 above, by deploying a three-electrode measurement system based on a current-constrained sensor in the high-risk area of the grounding grid corrosion, ensures the accuracy and representativeness of the data from the monitoring source. The sensor is reliably connected to the main grounding grid and encapsulated in a conductive medium, effectively suppressing external interference and overcoming the limitations of traditional methods that rely on intermittent sampling and are difficult to automate.
[0029] In this embodiment of the invention, step S200, which involves monitoring ground grid corrosion using a system circuit based on an electrochemical three-electrode measurement system to obtain real-time monitoring results, includes the following sub-steps B1 to B4: In B1: The system circuit is integrated into the monitoring terminal deployed at each monitoring point and configured to sequentially perform open circuit potential monitoring, linear polarization resistance measurement and electrochemical impedance spectroscopy measurement; In B2: The natural corrosion potential of the working electrode relative to the reference electrode is recorded over a long period of time by open circuit potential monitoring in order to monitor the changes in the activation or passivation state of the grounding grid metal. In B3: a potential scan is applied within a small polarization range (e.g., ±10mV) near the corrosion potential by linear polarization resistance measurement, the resulting polarization current is measured, and the instantaneous corrosion rate is calculated based on the area of the sensitive measurement region; Specifically, according to the Stern-Geary formula, polarization resistance is inversely proportional to corrosion current density, that is: in, This represents the corrosion current density; due to the use of a current density sensor, the area of the sensitive measurement region is... The data is precisely known, and the calculation results based on this data are guaranteed to be accurate. This represents the polarization resistance, and B is the Stern-Geary constant, which is usually taken as 0.026V for carbon steel in a neutral medium.
[0030] Specifically, the instantaneous corrosion rate can be calculated using the following formula based on the measurement results: in, The instantaneous corrosion rate at time t (mm / year) is represented by K, which is a unit conversion constant. Indicates the density of the grounding grid material. Indicates the equivalent weight of the material.
[0031] In B4: Electrochemical impedance spectroscopy is used to measure the impedance spectrum data of the system by periodically applying sinusoidal perturbation signals with varying frequencies. This data is used to analyze the double-layer characteristics of the metal interface and the state of the corrosion product film. Simultaneously, soil temperature, volumetric water content, and environmental parameters at the monitoring points are collected and recorded and stored together with the measurement data.
[0032] In an optional embodiment, the monitoring of grounding grid corrosion can also be based on a comprehensive monitoring scheme that couples soil physicochemical parameters with cyclic voltammetry. Each monitoring terminal integrates a cyclic voltammetry module, which records the current response curve of the working electrode by applying a periodically varying scanning voltage to obtain information on the redox behavior of the metal within a specific potential range. This information is used to determine the corrosion tendency and reaction mechanism of the grounding grid metal. Simultaneously, the system's built-in soil sensors collect soil redox potential, salinity, and oxygen content parameters in real time, uploading them synchronously with the electrochemical data to a data center. Through multi-parameter correlation analysis, a comprehensive diagnosis of corrosion status and environmental factors is achieved, improving the comprehensiveness of corrosion induction analysis.
[0033] In an optional embodiment, the step of monitoring ground grid corrosion can also employ a pulse potential polarization and wireless ad hoc network collaborative monitoring scheme. A pulse potential polarization module is deployed in each monitoring terminal. By applying short-duration, intermittent potential pulse signals, transient current response is measured to calculate polarization resistance and assess local corrosion susceptibility. All monitoring terminals construct a distributed monitoring network through LoRa wireless ad hoc network technology to achieve automatic synchronization and redundant fault-tolerant transmission of data from multiple nodes. The terminal equipment integrates solar power supply and a low-power wake-up mechanism to support stable operation in environments without mains power for extended periods.
[0034] It should be noted that step S200 above integrates a system circuit that supports multi-mode electrochemical measurement in each monitoring terminal. It can automatically collect multi-dimensional parameters such as corrosion potential, instantaneous corrosion rate and interface state, and simultaneously acquire environmental data such as soil temperature and humidity, which greatly improves the comprehensiveness and timeliness of the data.
[0035] In this embodiment of the invention, step S300 includes the following sub-steps C1 and C2: In C1: The corrosion status is assessed based on real-time monitoring results and initial health baseline data from the initial commissioning of the grounding grid; detailed steps include: During the initial period of operation of the grounding grid, initial health baseline data are obtained through intensive monitoring. Based on real-time monitoring results and initial health baseline data, the impact of changes in environmental and operating parameters relative to the initial health baseline on the corrosion rate is quantified by a dynamic corrosion acceleration factor function. The instantaneous corrosion rate is corrected based on the dynamic corrosion acceleration factor function, and the cumulative corrosion depth is calculated as a direct indicator for evaluating the remaining cross-section and remaining life of the grounding grid conductor. Based on the cumulative corrosion depth, the remaining life and health index of the conductors at each monitoring point are evaluated by comparing them with the original thickness of the grounding grid conductor. The cumulative corrosion depth and health index are compared with a first preset threshold. Based on the comparison results, the corrosion status is graded and a corresponding status assessment result is generated.
[0036] Specifically, during the initial pre-set period (e.g., the first 6 months) of the grounding grid's commissioning, initial health baseline data is acquired through intensive monitoring. This initial health baseline data includes the average initial corrosion rate. Average initial corrosion current density Soil resistivity at each monitoring point ,humidity Environmental background values, etc.
[0037] Specifically, since the corrosion rate is not constant and is strongly influenced by environmental factors (such as soil moisture ω and resistivity ρ) and operational factors (such as AC interference), a dynamic cumulative corrosion depth D(t) model based on influencing factors is proposed: in, The total cumulative corrosion depth (mm) within time t from commissioning to the present is the most direct indicator for assessing the remaining cross-section and remaining life of the conductor; F represents a corrosion acceleration factor function, used to quantify the impact of changes in environmental and operating parameters relative to the initial baseline on the corrosion rate. F>1 indicates accelerated corrosion, and F<1 indicates slowed corrosion. The soil volumetric water content, soil resistivity, and AC interference voltage are represented as a function of time τ. , This represents the soil volumetric water content and resistivity at the initial baseline; , β γ , The model correction coefficients need to be calibrated and iteratively optimized using initial monitoring data and laboratory simulation experiments. For example, β γ reflects the sensitivity of humidity to the corrosion rate (usually positive), while γ reflects the sensitivity of resistivity (usually negative). The reference voltage representing AC interference is used for normalization.
[0038] It should be noted that the above steps combine instantaneous electrochemical measurement with continuous environmental / operational monitoring, enabling the system to extrapolate and update the cumulative corrosion depth D(t) even between two electrochemical measurements by continuously collecting environmental / operational data, greatly improving the continuity of monitoring and the real-time nature of prediction.
[0039] Specifically, based on the cumulative corrosion depth D(t), and compared with the original thickness of the grounding grid conductor, its remaining life and health index (HI) are assessed. For example, the health index... ,in, This represents the original thickness of the conductor.
[0040] It should be noted that the first preset threshold can be dynamically set according to the design safety specifications and operation and maintenance standards of the grounding grid conductor. For example, the cumulative corrosion depth threshold can be set to 20% (indication level), 40% (early warning level), and 60% (emergency level) of the original conductor thickness, and the health index threshold can be set to 0.8, 0.6, and 0.4 respectively. At the same time, dynamic indicators such as corrosion rate change rate and environmental change frequency can be combined to form a multi-dimensional and graded corrosion status judgment system.
[0041] It should be noted that a fault monitoring system for the grounding grid of a hydropower station, incorporating initial good data, has been established. The system consists of corrosion monitoring sensors, data transmitters, wireless transceivers, and a central server. It utilizes a GPRS wireless communication network and a solar-powered system, based on the AC impedance principle, and integrates orifice current limiting and retaining ring current constraint technologies. By establishing a regional remote corrosion monitoring network for grounding devices, it achieves real-time monitoring of the corrosion rate of grounding devices, soil resistivity, and soil redox potential, featuring high measurement accuracy and good real-time performance. Under the command and control of the monitoring center, the system can poll, collect, store, and transmit data from the monitors. After data verification and packaging, it is sent to the monitoring center via a wireless module and automatically saved to the database. This system enables regional monitoring and management of the corrosion status of grounding devices. Simultaneously, through built-in algorithms, based on the grounding grid basic design data, site topography, and hub layout data, and combining the evaluation data of a grounding grid in good condition with comparative data provided by subsequent grounding grid status monitoring, it predicts the corrosion development trend of grounding devices. This system is suitable for monitoring the grounding grid corrosion status of large hydropower stations.
[0042] In an optional embodiment, the corrosion status assessment step can also employ a method based on equivalent circuit model fitting, using electrochemical impedance spectroscopy to analyze the parameters of the interface double layer and corrosion product film, thereby assessing the risk of localized corrosion and the degree of degradation of the protective layer.
[0043] In an optional embodiment, the corrosion state assessment step may also employ a data-driven corrosion pattern recognition method to extract corrosion potential fluctuation characteristics, current noise spectrum and multiple environmental parameter sequences, and identify typical corrosion patterns and quantify their development probability through clustering algorithms.
[0044] In C2: The corrosion development trend of the grounding grid is predicted using a pre-built first prediction model; detailed steps include: The corrosion status time series characteristics, environmental parameter time series characteristics, and operational parameter time series characteristics in the real-time monitoring results are fused to form multi-dimensional time series input data for prediction. The local features and spatial correlations of the multidimensional time series input data are extracted by the convolutional neural network in the pre-built first prediction model, and the time dependence and changing trend of the multidimensional time series input data are captured by the long short-term memory network. Based on the output of the first prediction model, the corrosion development trend and cumulative corrosion depth change trajectory of each monitoring point of the grounding grid are predicted in the future.
[0045] Specifically, based on the evaluation data of the grounding grid in good condition and the comparative data provided by subsequent grounding grid condition monitoring, a CNN-LSTM hybrid model (the first prediction model) is used to extract the changing trend of the current corrosion state. It uses the time-series feature map of the corrosion state as the network input. To couple these features that affect prediction, this invention references word vector representation methods, concatenating the grounding grid corrosion state features at a certain moment into a vector representation, thus forming a completely new time-series data. The CNN model uses local connectivity and shared weights to extract data features, directly obtaining effective representations from the original data through alternating convolutional and pooling layers, automatically extracting local features of the data, and establishing a dense and complete feature vector. The LSTM network is an improved time-recurrent neural network that solves the "vanishing gradient" problem during model training by adding an additional forget gate. Its calculation formula is as follows: in, , , , , and These represent the states of the forget gate, input gate, input node, output gate, state unit, and intermediate output in the network, respectively. and These represent the changes in the sigmoid function and the tanh function, respectively. , , , , , , and These represent the matrix weights multiplied by the input and the intermediate output, respectively. , , , These represent the bias terms, This indicates that the vectors are multiplied element by element.
[0046] In an optional embodiment, the first prediction model may also employ a Transformer-based temporal prediction architecture to capture the global dependencies between corrosion parameters and environmental factors in long sequences through a self-attention mechanism.
[0047] In an optional embodiment, the first prediction model may also employ a graph neural network model to construct a dynamic graph structure that integrates the topological relationships of monitoring points, the spatial distribution of soil properties, and the corrosion diffusion path, thereby achieving spatiotemporal joint prediction of corrosion trends.
[0048] It should be noted that step S300 above, by integrating the initial health baseline data and real-time monitoring results, constructs a cumulative corrosion depth calculation model based on a dynamic corrosion acceleration factor. This model can quantify the impact of environmental and operational parameter changes on the corrosion process, enabling accurate assessment of the conductor's remaining life and health status. Simultaneously, a CNN-LSTM hybrid model is used to extract the spatiotemporal characteristics of corrosion and environmental parameters, achieving scientific prediction of corrosion trends.
[0049] In this embodiment of the invention, step S400 integrates and displays the real-time monitoring results and prediction results through the substation grounding grid corrosion online monitoring and management platform for early warning management, so as to realize the visualization of the grounding grid corrosion status, including the following sub-steps D1~D4: In D1: Construct an online monitoring and management platform for corrosion of substation grounding grid based on B / S architecture, and receive real-time monitoring data, status assessment results and prediction results uploaded by monitoring terminals through wireless communication network; Specifically, a substation grounding grid corrosion online monitoring and management platform was developed based on a B / S (Browser / Server) architecture. The website is installed on an Internet server, and users can access the grounding grid corrosion monitoring data on the server via an Internet client. During the service period, WCF-based software is installed, enabling functions such as parameter configuration, data reading, historical data query, report statistics, and alarm prompts for on-site corrosion monitoring devices via a wireless communication network. Figure 2 As shown, a B / S (Browser / Server) mode networked monitoring software was established using the GSM wireless transmission principle, enabling users to view on-site corrosion monitoring data anytime, anywhere on a remote indoor terminal.
[0050] In an optional embodiment, the visualization platform can also be a 3D visualization platform based on digital twin technology, constructing a digital twin model that is fully mapped to the physical grounding grid, dynamically displaying the grounding grid structure, corrosion distribution, and evolution process in 3D space. Through virtual reality or augmented reality technology, maintenance personnel can immerse themselves in inspecting the status of the underground grounding grid, observe corrosion hotspots, remaining thickness, and predicted fracture risk areas in real time, and support interactive cross-sectional analysis, historical status review, and simulated maintenance operations, improving fault location and decision-making efficiency.
[0051] In an optional embodiment, the visualization platform can also be a multi-level monitoring platform based on a geographic information system, overlaying grounding grid corrosion data with geographic coordinates, topography, and hydrogeological layers. Through map zooming and partitioning functions, multi-level visualization is achieved, from macro-regional distribution to micro-site details. It supports spatial heatmap analysis of corrosion trends, generation of environmental factor correlation maps, and cross-site comparative statistics, providing spatial decision support for watershed-level grounding grid health management.
[0052] In D2: On the graphical interface of the substation grounding grid corrosion online monitoring and management platform, the substation plan is used as the base map, and different colors are used to mark the real-time health status and cumulative corrosion depth of each monitoring point, so as to realize a panoramic visualization of the corrosion status. In D3: a real-time data dashboard is provided, dynamically displaying the instantaneous corrosion rate, corrosion potential, and key parameters of soil temperature and humidity at each monitoring point, and supporting multi-dimensional trend comparison analysis for user-defined time periods; In D4: Set early warning thresholds for cumulative corrosion depth and instantaneous corrosion rate. When the monitored data exceeds the threshold or abnormal fluctuations occur, multi-level alarm information is automatically generated and the production management system is linked to trigger the maintenance work order process.
[0053] It should be noted that the warning threshold can be dynamically set according to the design life and safety margin of the grounding grid conductor. For example, the cumulative corrosion depth threshold can be set to 30% (warning) and 50% (alarm) of the initial conductor thickness; the instantaneous corrosion rate threshold can be set to 3 times (mild anomaly) to 10 times (severe anomaly) of the initial baseline value; at the same time, it can be combined with the deviation of environmental parameters such as sudden drop in soil resistivity and sudden increase in humidity from the baseline for composite judgment to achieve intelligent graded warning with multi-parameter linkage.
[0054] It should be noted that, through tools such as panoramic corrosion maps and real-time data dashboards, the S400 system allows maintenance personnel to intuitively grasp the overall health status and local risks of the grounding grid. The platform features intelligent early warning and work order linkage functions, automatically triggering multi-level alarms and initiating maintenance processes, significantly improving the timeliness, collaboration, and operational efficiency of status management.
[0055] Example 3: This example provides a multi-dimensional data grounding grid corrosion status monitoring system, including: The measurement system construction module is used to construct an electrochemical three-electrode measurement system using a current-constrained sensor and the metal of the ground grid under test. The corrosion monitoring module is used to monitor ground grid corrosion by constructing a ground grid corrosion monitoring device based on the electrochemical three-electrode measurement system, and obtain real-time monitoring results. The analysis and prediction module is used to assess the corrosion status based on real-time monitoring results and initial health baseline data at the beginning of the grounding grid's operation, and to predict the corrosion development trend of the grounding grid using a pre-built first prediction model. The visualization module is used to integrate and display real-time monitoring results and prediction results through the substation grounding grid corrosion online monitoring and management platform, and to provide early warning management, so as to realize the visualization of the grounding grid corrosion status.
[0056] It should be noted that the technical solution of this multi-dimensional data grounding grid corrosion status monitoring system and the technical solution of the above-mentioned multi-dimensional data grounding grid corrosion status monitoring method belong to the same concept. For details not described in detail in the technical solution of the multi-dimensional data grounding grid corrosion status monitoring system in this embodiment, please refer to the description of the technical solution of the above-mentioned multi-dimensional data grounding grid corrosion status monitoring method.
[0057] The above-mentioned unit modules can be embedded in the processor of the electronic device in hardware form or independent of it, or they can be stored in the memory of the electronic device in software form, so that the processor can call and execute the corresponding operations of the above modules.
[0058] This embodiment also provides an electronic device, which includes a processor, a memory, a communication interface, a display screen, and an input device connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a multi-dimensional data grounding grid corrosion status monitoring method. The display screen can be a liquid crystal display (LCD) or an e-ink display. The input device can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the device's casing, or an external keyboard, touchpad, or mouse.
[0059] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method proposed in the above embodiments.
[0060] The storage medium proposed in this embodiment belongs to the same inventive concept as the method proposed in the above embodiments. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.
[0061] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory, random access memory, flash memory, hard disk, or optical disk, and includes several instructions to cause an electronic device (which may be a personal computer, server, or network device, etc.) to execute the method of the embodiments of the present invention.
[0062] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.
Claims
1. A method for monitoring the corrosion state of a multi-dimensional data grounding network, characterized by, The method comprises the following steps: An electrochemical three-electrode measurement system is formed by using a current constraint sensor and a measured grounding grid metal; A system circuit of a grounding grid corrosion monitoring device is built based on the electrochemical three-electrode measurement system to monitor the corrosion of the grounding grid and obtain real-time monitoring results; Based on the real-time monitoring results, the initial health baseline data at the initial stage of the grounding grid operation are combined to evaluate the corrosion state, and a first prediction model is used to predict the corrosion development trend of the grounding grid; The real-time monitoring results and the prediction results are integrated and displayed on a substation grounding grid corrosion online monitoring and management platform for early warning management, so as to realize the visualization of the corrosion state of the grounding grid.
2. The method of claim 1, wherein the method comprises: The evaluation of the corrosion state comprises the following steps: In a preset time period at the initial stage of the grounding grid operation, initial health baseline data are obtained through intensive monitoring; Based on the real-time monitoring results and the initial health baseline data, a dynamic corrosion acceleration factor function is used to quantify the influence of the changes of the environment and the operation parameters relative to the initial health baseline on the corrosion rate; The instantaneous corrosion rate is corrected according to the dynamic corrosion acceleration factor function, and the cumulative corrosion depth is calculated as a direct index for evaluating the remaining cross section and the remaining life of the grounding grid conductor.
3. The method of claim 2, wherein the method comprises: The evaluation of the corrosion state further comprises the following steps: Based on the cumulative corrosion depth, the original thickness of the grounding grid conductor is compared to evaluate the remaining life and the health index of each monitoring point; The cumulative corrosion depth, the health index and a first preset threshold value are compared, and the corrosion state is classified and determined according to the comparison result, and a corresponding state evaluation result is generated.
4. The method of claim 3, wherein the multi-dimensional data ground grid corrosion state monitoring method is characterized by, The prediction of the corrosion development trend of the grounding grid by using the first prediction model comprises the following steps: The corrosion state time sequence features, the environmental parameter time sequence features and the operation parameter time sequence features in the real-time monitoring results are fused to form multi-dimensional time sequence input data for prediction; The local features and the spatial correlation of the multi-dimensional time sequence input data are extracted by a convolutional neural network in the first prediction model, and the time dependence and the change trend of the multi-dimensional time sequence input data are captured by a long short-term memory network; Based on the output result of the first prediction model, the corrosion development trend and the cumulative corrosion depth change trajectory of each monitoring point of the grounding grid in a future period of time are predicted.
5. The method of claim 1, wherein the method comprises: The electrochemical three-electrode measurement system formed by using the current constraint sensor and the measured grounding grid metal comprises the following steps: Monitoring points are arranged near the corrosion high-risk areas of the grounding grid and the key equipment grounding downlead, and a current constraint sensor, a long-acting reference electrode and an auxiliary electrode are arranged at each monitoring point; The current constraint sensor is divided into a grounding connection area and a sensitive measurement area by an insulating trench, and the grounding connection area is electrically connected to the main grounding grid by heat welding, so that the exposed surface area of the sensitive measurement area is limited; The long-acting reference electrode and the auxiliary electrode are arranged near the sensitive measurement area of the current constraint sensor and are packaged in a sensor probe filled with conductive soil or are arranged in a triangular shape around the grounding conductor to form an electrochemical three-electrode measurement system.
6. The method of claim 5, wherein the method comprises: The system circuit of the grounding net corrosion monitoring device monitors the corrosion of the grounding net, and comprises: The system circuit is integrated in the monitoring terminal arranged at each monitoring point, and is configured to sequentially perform open circuit potential monitoring, linear polarization resistance measurement, and electrochemical impedance spectrum measurement; The open circuit potential monitoring records the natural corrosion potential of the working electrode relative to the reference electrode for a long time, so as to monitor the activation or passivation state change of the grounding net metal; The linear polarization resistance measurement applies a potential scan in a small polarization interval near the corrosion potential, measures the polarization current generated, and calculates the instantaneous corrosion rate based on the area of the sensitive measurement area; The electrochemical impedance spectrum measurement applies a frequency-varying sinusoidal wave disturbance signal periodically, obtains impedance spectrum data of the system, analyzes the characteristics of the metal interface double-layer and the state of the corrosion product film, synchronously collects the soil temperature, volume moisture content and environmental parameters of the monitoring point, and records and stores the measurement data together.
7. The method of claim 6, wherein the method comprises: The integration display and early warning management by the transformer substation grounding net corrosion online monitoring and management platform comprises: The transformer substation grounding net corrosion online monitoring and management platform based on B / S architecture is constructed, and the real-time monitoring data, state evaluation results and prediction results uploaded by each monitoring terminal are received through a wireless communication network; On the graphical interface of the transformer substation grounding net corrosion online monitoring and management platform, the real-time health state and cumulative corrosion depth of each monitoring point are marked with different colors on the basis of the power station plan, so that the panoramic visual display of the corrosion state is realized; Real-time data boards are provided to dynamically display the instantaneous corrosion rate, corrosion potential, soil temperature and humidity key parameters of each monitoring point, and multi-dimensional trend comparison analysis is supported for user-defined time periods; The cumulative corrosion depth and the instantaneous corrosion rate are set as early warning thresholds, and when the monitoring data exceeds the threshold or abnormally fluctuates, multi-level alarm information is automatically generated, and the production management system is triggered to trigger a repair work order process.
8. A multi-dimensional data grounding grid corrosion state monitoring system, applying a multi-dimensional data grounding grid corrosion state monitoring method according to any one of claims 1-7, characterized in that, Comprise: The measurement system construction module is used to construct an electrochemical three-electrode measurement system by using a current constraint sensor and a measured grounding net metal; The corrosion monitoring module is used to monitor the corrosion of the grounding net by building a system circuit of the grounding net corrosion monitoring device based on the electrochemical three-electrode measurement system, and obtain real-time monitoring results; The analysis and prediction module is used to evaluate the corrosion state based on the real-time monitoring results and the initial health baseline data at the initial stage of the grounding net operation, and predict the corrosion development trend of the grounding net by using a first prediction model constructed in advance; The visual display module is used to integrate and display the real-time monitoring results and prediction results through the transformer substation grounding net corrosion online monitoring and management platform for early warning management, so as to realize the visualization of the corrosion state of the grounding net. 9.An electronic device comprising a memory and a processor, the electronic device characterized by: The memory is used to store computer executable instructions, and the processor executes the computer executable instructions to realize the steps of the multi-dimensional data grounding net corrosion state monitoring method in any one of claims 1-7.
10. A computer-readable storage medium having computer-executable instructions stored thereon, characterized in that: The computer executable instructions are executed by the processor to realize the steps of the multi-dimensional data grounding net corrosion state monitoring method in any one of claims 1-7.