Power Tunnel Monitoring System and Method Based on Geological Data Analysis

Abstract

This invention relates to the field of data analysis technology, specifically a power tunnel monitoring system and method based on geological data analysis. The system includes: constructing a three-dimensional distribution model of stratum resistivity based on geological exploration data along the power tunnel route, and integrating spatial distribution data of groundwater salinity; calculating stray current corrosion threat values ​​based on the stratum resistivity three-dimensional distribution model and groundwater salinity data; uploading and storing the extracted operational status data to a power tunnel monitoring data cloud network; analyzing and judging the operating status of the power tunnel grounding system; and, based on the analyzed grounding system operating status, classifying and outputting dynamic maintenance suggestions and sending them to the monitoring center. This invention solves the problem in existing technologies where there is rarely an accurate quantification of corrosion risks caused by stray currents.

Description

Technical Field

[0001] This invention relates to the field of data analysis technology, specifically a power tunnel monitoring system and method based on geological data analysis. Background Technology

[0002] In the field of power tunnel safety monitoring, existing technologies face the following challenges: On the one hand, stray current corrosion is highly dynamic and concealed due to complex electromagnetic environments (such as leakage from nearby DC traction systems). Traditional monitoring methods rely on discrete potential gradient measurements and static grounding resistance detection, which cannot dynamically track the changing patterns of current paths with geological conditions, especially neglecting the influence of the geological environment on the accumulation effect of stray currents. On the other hand, existing technologies lack attention to groundwater salinity, neither incorporating it into the corrosion risk assessment system nor providing quantitative analysis of the coupling effect between salinity and resistivity, resulting in a high underreporting rate of corrosion risk hotspots, reaching as high as 40%. Simultaneously, grounding system effectiveness assessment has serious deficiencies: current standards rely solely on single-point measurements of grounding resistance, failing to reflect the health status of the current distribution in the grounding grid under real geological conditions (such as current path blockage caused by local high-resistivity layers), and also failing to capture transient potential impacts caused by abrupt changes in resistivity gradients. This can create hidden dangers for personal safety during lightning strikes or short circuits, and further reduces the early warning capability for corrosion-grounding composite failures. These limitations of existing technologies create practical operational and maintenance difficulties for power tunnels. Summary of the Invention

[0003] The technical problem to be solved by this invention is that there is a lack of accurate quantification of the corrosion risk caused by stray current in the existing technology. This invention proposes a power tunnel monitoring system and method based on geological data analysis.

[0004] To achieve the above objectives, the technical solution of the power tunnel monitoring method based on geological data analysis of the present invention includes the following steps:

[0005] S1: Construct a three-dimensional distribution model of stratum resistivity based on geological exploration data along the power tunnel, and integrate spatial distribution data of groundwater mineralization;

[0006] S2: Collect environmental data of the power tunnel and calculate the stray current corrosion threat value based on the three-dimensional distribution model of the stratum resistivity and the groundwater salinity data;

[0007] S3: Synchronously extract the working status data of the grounding system working nodes of the power tunnel, upload and store the working status data to the power tunnel monitoring data cloud network;

[0008] S4: By extracting the working status data stored in the cloud network of power tunnel monitoring data, analyze and judge the operating status of the power tunnel grounding system;

[0009] S5: Based on the analysis of the grounding system's operating status, classify and output dynamic maintenance recommendations and send them to the monitoring center for confirmation by supervisory personnel regarding the protection strategy for the power tunnel.

[0010] Preferably, step S2 includes the following specific steps:

[0011] S21: Collect environmental data of the power tunnel, including: grounding electrode potential gradient of the power tunnel, rate of change of oxide film thickness of metal structure, and real-time data of groundwater mineralization.

[0012] S22: The interface of the power tunnel affected by stray currents is divided into S monitoring sections on average. The formation resistivity data in the three-dimensional distribution model of formation resistivity is imported into the stray current corrosion density assessment strategy to calculate the stray current corrosion density per unit monitoring section. At the same time, the stray current corrosion density per unit monitoring section is corrected based on the apparent activation energy of the corrosion reaction after mineralization correction to obtain the corrected stray current corrosion density. ;

[0013] S23: Extract the corrected stray current corrosion density Grounding electrode potential gradient and the rate of change of oxide film thickness in metal structures Based on a three-dimensional distribution model of ground resistivity, the stray current corrosion threat value of the power tunnel structure is simulated in real time. The power tunnel contains N sets of grounding electrodes.

[0014] Preferably, in S22, the stray current corrosion density assessment strategy is as follows:

[0015] S221: Obtain formation resistivity data and reference formation resistivity for the monitored area. Calculate the ratio of the two, take the negative value, and substitute it into the exponential function based on the natural index to obtain... Simultaneously obtain groundwater salinity. ;according to With groundwater mineralization Geological enhancement factors were obtained. ;

[0016] S222: Extract the geological enhancement factor output from step S221 Furthermore, the stray current corrosion density of the monitoring section S was quantified, specifically as follows:

[0017] ;

[0018] in, To monitor the stray current corrosion density in section S; As a geological enhancement factor; Let be the cross-sectional area of ​​segment s; This refers to the directional current generated on the tunnel structure by the DC traction system;

[0019] S223: Real-time acquisition of groundwater temperature parameters and mineralization indices within the monitoring area, simultaneous construction of activation energy correction model, introduction of benchmark activation energy corresponding to reference mineralization, and dynamic generation of apparent activation energy of corrosion reaction after mineralization correction through activation energy correction model.

[0020] S224: Extract the stray current corrosion density of monitoring section S output from step S222. The apparent activation energy of the corrosion reaction after mineralization correction, as output in step S223, is used to import the extracted data into the stray current corrosion density correction strategy. Nonlinear regression calculations are then used to dynamically correct the stray current corrosion density of the monitoring section S, ultimately yielding the corrected stray current corrosion density. .

[0021] Preferably, in S222, the directional current generated by the DC traction system on the tunnel structure is obtained through a directional current quantization strategy, which specifically includes:

[0022] ;

[0023] in, This serves as the reference value for leakage current in a DC traction system. This is the vertical distance between the power tunnel and the traction track; is the skin depth attenuation coefficient of the current.

[0024] Preferably, in step S23, the stray current corrosion threat value of the power tunnel structure is simulated in real time based on the three-dimensional distribution model of the ground resistivity. ,include:

[0025] S231: Extract the corrected stray current corrosion density output from step S22. Obtain the rate of change of oxide film thickness over time at all M monitoring points. And extract the maximum value. Simultaneously, the standard oxide film loss rate was introduced, and the above data was imported into the electrochemical corrosion threat value calculation strategy to calculate the electrochemical corrosion threat value. ;

[0026] S232: Obtain the real-time potential gradient of the grounding electrode, preset the safe potential gradient threshold, synchronously analyze historical monitoring data to obtain the maximum potential gradient deviation, and calculate the grounding failure threat value based on the above parameters. ;

[0027] S233: Retrieve the obtained electrochemical corrosion threat value and grounding failure threat value The stray current corrosion threat value of the power tunnel structure is obtained by weighted summation of the two values. .

[0028] Preferably, in step S3, the working status data of the working node of the power tunnel grounding system includes: real-time potential offset of the grounding electrode. Average concentration of ions released from the overall metal structure of the power tunnel and grounding grid transition resistance .

[0029] Preferably, S4 includes:

[0030] S41: Extract the stray current corrosion threat value obtained in step S23 The threat value of stray current corrosion With preset threshold Compare:

[0031] If stray current corrosion threat level Less than or equal to the preset threshold Execute step S42;

[0032] If stray current corrosion threat level Greater than the preset threshold Execute step S43;

[0033] S42: Synchronously monitor the real-time potential offset of the grounding electrode in step S3. ,include:

[0034] when If the voltage is less than or equal to 0.1 volts, return to step S41;

[0035] when For voltages less than or equal to 0.5 volts and greater than 0.1 volts, the recommended output is to activate the backup grounding circuit and request a manual inspection.

[0036] when When the voltage is greater than 0.5 volts, the recommended output is to force the cathodic protection system to be activated and send an emergency power-off request to the monitoring center.

[0037] Preferably, S4 further includes:

[0038] S43: Extraction step S231 to calculate the electrochemical corrosion threat value and grounding failure threat value And make threat status decisions, including:

[0039] When the threat level of electrochemical corrosion When the level exceeds the historical average level of electrochemical corrosion threat, it indicates that the metal structure of the power tunnel is undergoing accelerated electrochemical corrosion, and the anti-corrosion control process step S44 is executed.

[0040] When the grounding failure threat value When the grounding failure threat level exceeds the historical average level, it indicates that the grounding system is at risk of performance degradation, and grounding maintenance procedure step S45 is executed.

[0041] When both exceed their corresponding threat status decision thresholds, it indicates that the tunnel is in a compound fault state, and emergency response procedure step S46 is executed.

[0042] S44: Average concentration of metal structure ion release based on the data collected in step S3 Calculate the rate of change of ion concentration per unit time. When the rate of change of ion concentration corresponds to three consecutive monitoring periods When all values ​​exceed the ion concentration fluctuation threshold, a repair command for the anti-corrosion coating is triggered.

[0043] S45: Grounding grid transition resistance based on the data collected in step S3 Based on the median level of the grounding grid transition resistance during historical monitoring periods, the resistance fluctuation of the grounding grid is calculated, including: calculating the grounding grid transition resistance obtained from real-time monitoring. The absolute value of the difference between the grounding grid transition resistance and the median level of the grounding grid transition resistance during the historical monitoring period is then divided by the absolute value to obtain the resistance fluctuation of the grounding grid.

[0044] When the resistance fluctuation of the grounding grid exceeds the maximum resistance fluctuation during the historical monitoring period, a grounding grid resistance reduction maintenance command is triggered.

[0045] Preferably, S4 further includes:

[0046] S46: First, take the time partial derivative of the grounding failure threat value to obtain the grounding degradation acceleration;

[0047] Then, the electrochemical corrosion threat value and grounding failure threat value Mapped into three-dimensional space, generating a three-dimensional risk field strength. Specifically:

[0048] ;

[0049] in, It is the three-dimensional distribution model of formation resistivity in step S1;

[0050] It is the spatial gradient of formation resistivity in the three-dimensional distribution model of formation resistivity in step S1;

[0051] Finally, based on the three-dimensional risk field strength The isosurface rendering outputs a corrosion diffusion prediction map; simultaneously, based on the spatial gradient of grounding degradation acceleration, a grounding failure thermal map is output.

[0052] In addition, the power tunnel monitoring system based on geological data analysis of this invention includes the following modules:

[0053] The module includes a data acquisition module, a stray current threat quantification module, a working status data monitoring module, an operating status judgment module, and a protection strategy output module.

[0054] The data acquisition module constructs a three-dimensional distribution model of stratum resistivity based on geological exploration data along the power tunnel and integrates spatial distribution data of groundwater mineralization.

[0055] The stray current threat quantification module is used to collect electromagnetic environment data of the power tunnel and calculate stray current corrosion threat value based on the three-dimensional distribution model of stratum resistivity and groundwater mineralization data.

[0056] The working status data monitoring module synchronously extracts the working status data of the grounding system working nodes of the power tunnel, and uploads and stores the working status data to the power tunnel supervision data cloud network.

[0057] The operation status judgment module extracts the operation status data stored in the power tunnel monitoring data cloud network to analyze and judge the operation status of the power tunnel grounding system.

[0058] The protection strategy output module outputs dynamic maintenance suggestions based on the analyzed grounding system operating status and sends them to the monitoring center for confirmation by supervisors regarding the protection strategy for the power tunnel.

[0059] Compared with existing technologies, this invention achieves precise control over stray current corrosion and grounding performance risks in power tunnels by deeply integrating a three-dimensional model of formation resistivity with dynamic data on groundwater salinity, as detailed below:

[0060] 1. This invention establishes a dynamic simulation system for stray current flow field of geological-electromagnetic coupling. Based on the spatial distribution of resistivity and the real-time change of mineralization, it accurately predicts the accumulation path of corrosion current in low-resistivity strata and high-mineralization areas, which greatly improves the identification rate of high-risk corrosion areas. It can guide the targeted deployment of cathodic protection systems, reduce maintenance costs and extend the service life of tunnel structures compared with existing methods.

[0061] 2. This invention breaks through the limitations of single-point static evaluation of grounding systems. By mapping resistivity gradient field strength and analyzing potential gradient anomalies, it realizes three-dimensional visualization diagnosis of the current health status of grounding systems, enabling proactive repair of weak nodes before lightning strikes or short-circuit faults, thereby reducing grounding failure accidents.

[0062] 3. This invention constructs an intelligent early warning mechanism for corrosion-grounding composite failure, which integrates an electrochemical activation energy correction model and a grounding degradation acceleration algorithm to predict composite faults in advance, thereby reducing the frequency of emergency maintenance and improving the overall safety level of tunnels. Attached Figure Description

[0063] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments 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. Wherein:

[0064] Figure 1 This is a flowchart illustrating the power tunnel monitoring method based on geological data analysis of the present invention.

[0065] Figure 2 This is a flowchart illustrating step S2 of the present invention;

[0066] Figure 3 This is a schematic diagram of the power tunnel monitoring system based on geological data analysis according to the present invention. Detailed Implementation

[0067] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0068] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0069] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0070] Example 1:

[0071] like Figure 1As shown in the embodiment of the present invention, the power tunnel monitoring method based on geological data analysis is as follows: Figure 1 As shown, the specific steps include the following:

[0072] S1: Construct a three-dimensional distribution model of stratum resistivity based on geological exploration data along the power tunnel, and integrate spatial distribution data of groundwater mineralization;

[0073] S2: Collect environmental data of the power tunnel and calculate the stray current corrosion threat value based on the three-dimensional distribution model of the stratum resistivity and the groundwater salinity data;

[0074] like Figure 2 As shown, step S2 includes the following specific steps:

[0075] S21: Collect environmental data of the power tunnel, including: grounding electrode potential gradient of the power tunnel, rate of change of oxide film thickness of metal structure, and real-time data of groundwater mineralization.

[0076] S22: The interface of the power tunnel affected by stray currents is divided into S monitoring sections on average. The formation resistivity data in the three-dimensional distribution model of formation resistivity is imported into the stray current corrosion density assessment strategy to calculate the stray current corrosion density per unit monitoring section. At the same time, the stray current corrosion density per unit monitoring section is corrected based on the apparent activation energy of the corrosion reaction after mineralization correction to obtain the corrected stray current corrosion density. ;

[0077] S23: Extract the corrected stray current corrosion density Grounding electrode potential gradient and the rate of change of oxide film thickness in metal structures Based on a three-dimensional distribution model of ground resistivity, the stray current corrosion threat value of the power tunnel structure is simulated in real time. The power tunnel contains N sets of grounding electrodes.

[0078] In S22, the stray current corrosion density assessment strategy is as follows:

[0079] S221: Obtain formation resistivity data and reference formation resistivity for the monitored area. Calculate the ratio of the two, take the negative value, and substitute it into the exponential function based on the natural index to obtain... Simultaneously obtain groundwater salinity. ;according to With groundwater mineralization Geological enhancement factors were obtained. ;

[0080] Exemplarily, in this embodiment, a geological enhancement factor is provided. The acquisition strategy is as follows: ;in, Let be the formation resistivity of section s; It is a sensitivity coefficient of mineralization to corrosion enhancement, calibrated through experiments, reflecting the difference in the intensity of corrosion intensity caused by groundwater mineralization in different strata;

[0081] It should be noted that, for When the formation resistivity is lower, the resistance to stray currents flowing through the formation is smaller. When stray currents can more efficiently drive electrochemical corrosion reactions, the current is more easily conducted, resulting in a higher risk of corrosion. And for... Groundwater mineralization A higher total amount of conductive ions in the formation water, i.e., the soil solution, indicates better conductivity of the solution. Therefore, the higher the mineralization of the groundwater, the easier it is for electrochemical corrosion to occur.

[0082] It should also be noted that the conductive effect of formation resistivity and the reactive effect of groundwater salinity are independent but synergistic corrosion regulating factors. For example, if the formation is non-conductive, i.e. If the mineralization is 0, even if the mineralization is high, the overall geological enhancement factor is 0, meaning there is no current conduction and the mineralization cannot play a role. If the mineralization is 0, even if the stratum has good conductivity, the groundwater mineralization cannot further promote corrosion. In this case, the geological enhancement factor is determined solely by resistivity, which is consistent with actual engineering principles.

[0083] S222: Extract the geological enhancement factor output from step S221 Furthermore, the stray current corrosion density of the monitoring section S was quantified, specifically as follows:

[0084] ;

[0085] in, To monitor the stray current corrosion density in section S; As a geological enhancement factor; Let be the cross-sectional area of ​​segment s; The directional current generated by the DC traction system on the tunnel structure serves as the driving force for stray currents and provides energy for corrosion reactions.

[0086] It should be noted that the essence of quantitatively assessing the stray current corrosion density of monitoring section S is based on the geological enhancement factor and traction current, to quantify the overall corrosion current density of the monitoring section. The DC traction system will leak stray current. When the stray current flows through the metal structure (such as tunnel reinforcement and metal pipeline), it will trigger electrochemical corrosion. That is, the current provides the driving force for the corrosion reaction and is the energy source for corrosion. As for the geological enhancement factor, it is essentially an amplifier or attenuator of corrosion intensity, used to characterize the influence of the geological environment on the corrosion reaction caused by stray current.

[0087] S223: Real-time acquisition of groundwater temperature parameters and mineralization indices within the monitoring area, simultaneous construction of activation energy correction model, introduction of benchmark activation energy corresponding to reference mineralization, and dynamic generation of apparent activation energy of corrosion reaction after mineralization correction through activation energy correction model.

[0088] For example, in this embodiment, an implementation example is provided for dynamically generating the apparent activation energy of the corrosion reaction after mineralization correction using an activation energy correction model, specifically as follows:

[0089] ;

[0090] in, The apparent activation energy of the corrosion reaction after mineralization correction; The baseline activation energy at a reference mineralization level represents the fundamental energy barrier that needs to be overcome to initiate and sustain a reaction. The mineralization-activation energy sensitivity coefficient is calibrated in this embodiment through an electrochemical corrosion experiment. It represents the absolute deviation between the current mineralization and the reference mineralization. It is used to measure the degree of deviation between the actual mineralization and the reference mineralization. The greater the deviation, the more significant the change in the corrosive environment.

[0091] It should be noted that, in this embodiment, the activation energy correction model is based on the Arrhenius equation. In the corrosion system, the salinity (i.e., the total amount of salt contained in the aqueous solution, which affects the ion concentration) will change the microenvironment of the corrosion reaction, thereby affecting the activation energy of the reaction. Therefore, in this embodiment, the reference activation energy is corrected by the salinity at the location of the power tunnel.

[0092] S224: Extract the stray current corrosion density of monitoring section S output from step S222. The apparent activation energy of the corrosion reaction, corrected for mineralization, output in step S223, is used to import the extracted data into a stray current corrosion density correction strategy. Nonlinear regression calculations are then used to dynamically correct the stray current corrosion density of monitoring section S, ultimately yielding a corrected stray current corrosion density that accurately characterizes the current hydrogeological conditions of the power tunnel strata. .

[0093] For example, in this embodiment, a stray current corrosion density correction strategy is provided, specifically as follows: ;

[0094] in, The corrected stray current corrosion density; R is the ideal gas constant. The preset reference temperature is T, where T is the groundwater temperature data.

[0095] It should be noted that the stray current corrosion density of the monitoring section S output in step S222 Intended to reflect the rate and intensity of corrosion reaction, stray current corrosion density The larger the value, the faster the rate at which the metal per unit area loses electrons (i.e., the rate of corrosion reaction).

[0096] Regarding the exponential term in the stray current corrosion density correction strategy provided in this embodiment... This aims to demonstrate the effect of temperature deviation from the reference temperature on stray current corrosion density after activation energy correction. ,but ,So When the exponent term is greater than 1, then The physical meaning of the above process is that as the temperature increases and the activation energy is corrected by the mineralization, the corrosion reaction is more likely to occur (i.e., the corrosion rate is faster and the corrosion risk is increased). This is consistent with the fact that temperature increases usually accelerate chemical reactions (i.e., the Arrhenius equation law). At the same time, the activation energy changes due to the change in mineralization. The activation energy will adjust the magnitude of the temperature acceleration effect. That is, the mineralization first changes the activation energy, and the activation energy and temperature jointly affect the stray current corrosion density. This is consistent with the actual situation of multi-factor coupling in the corrosion system in actual engineering scenarios.

[0097] It should be noted that the stray current corrosion density correction strategy provided in this embodiment is based on the Arrhenius equation, which reflects the relationship between the reaction rate constant and temperature and activation energy. In the corrosion system, the stray current corrosion density is directly related to the corrosion reaction rate, which can be compared with the reaction rate constant. Therefore, based on the Arrhenius equation, in this embodiment, the stray current corrosion density is corrected by combining the apparent activation energy of the corrosion reaction after mineralization correction, the difference between the actual temperature and the preset reference temperature, which conforms to the kinetic law that temperature and activation energy jointly affect the corrosion rate.

[0098] In S222, the directional current generated by the DC traction system on the tunnel structure is obtained through a directional current quantization strategy, which is specifically as follows:

[0099] ;

[0100] in, This serves as the reference value for leakage current in a DC traction system. This is the vertical distance between the power tunnel and the traction track; is the skin depth attenuation coefficient of the current.

[0101] In step S23, based on the three-dimensional distribution model of ground resistivity, the stray current corrosion threat value of the power tunnel structure is simulated in real time. ,include:

[0102] S231: Extract the corrected stray current corrosion density output from step S22. The rate of change of oxide film thickness over time at all M monitoring points is obtained by performing differential calculations based on continuously monitored oxide film thickness data. And extract the maximum value. Simultaneously, the standard oxide film loss rate was introduced, and the above data was imported into the electrochemical corrosion threat value calculation strategy to calculate the electrochemical corrosion threat value. ;

[0103] For example, in this embodiment, an electrochemical corrosion threat value calculation strategy is provided, specifically: First, the critical corrosion current density of the metal material is determined based on multiple sets of metal material characteristic experiments. Then, the corrected stray current corrosion density Corrosion Critical Current Density of Metallic Materials The quotient is then multiplied by the maximum rate of change of oxide film thickness. The ratio of the electrochemical corrosion threat value to the standard oxide film loss rate is used to obtain the final electrochemical corrosion threat value. .

[0104] S232: Obtain the real-time potential gradient of the grounding electrode, preset the safe potential gradient threshold according to industry safety standards, synchronously analyze historical monitoring data to obtain the maximum potential gradient deviation, and calculate the grounding failure threat value based on the above parameters. ;

[0105] For example, in this embodiment, a strategy for calculating the grounding failure threat value is provided, including: first, calculating the difference between the real-time potential gradient of each grounding electrode and a preset safe potential gradient threshold, and taking the absolute value of the difference; then, dividing the absolute value by the maximum potential gradient deviation to obtain the basic grounding failure threat value.

[0106] Next, calculate the proportion of the resistivity at the current location of the grounding electrode relative to the average resistivity of the power tunnel, and obtain the proportion coefficient of the resistivity at the current location of the grounding electrode.

[0107] Then, the grounding failure threat value of a single grounding electrode is obtained by multiplying the base grounding failure threat value by the proportionality coefficient of the resistivity at the location of the current grounding electrode.

[0108] Finally, the grounding failure threat components of the N grounding electrodes are summed and averaged to obtain the final grounding failure threat value. .

[0109] S233: Retrieve the obtained electrochemical corrosion threat value and grounding failure threat value The stray current corrosion threat value of the power tunnel structure is obtained by weighted summation of the two values. .

[0110] S3: Synchronously extract the working status data of the grounding system working nodes of the power tunnel, upload and store the working status data to the power tunnel monitoring data cloud network;

[0111] In step S3, the working status data of the working node of the power tunnel grounding system includes: real-time potential offset of the grounding electrode. Average concentration of ions released from the overall metal structure of the power tunnel and grounding grid transition resistance .

[0112] It should be noted that, in this embodiment, the real-time potential offset of the grounding electrode... Its purpose is to characterize the failure risk of grounding systems, and its acquisition strategy is: through high-precision reference electrodes (e.g. The potential difference between the electrode and the ground electrode is obtained by measurement, and the sampling frequency is set to 20Hz. The raw data collected is filtered by Kalman to eliminate electromagnetic interference.

[0113] It should also be noted that the average concentration of ions released from the overall metal structure of the power tunnel is... The aim is to quantify the intensity of electrochemical corrosion, and the strategy for obtaining this information is as follows: An array of ion-selective electrodes is arranged around the grounding electrode to measure the concentration of corrosive ions (e.g., ...). , Then, the overall concentration is calculated by spatial weighted averaging.

[0114] It should also be noted that the grounding grid transition resistance The purpose is to reflect the connectivity of the grounding system. The acquisition strategy is to use the four-electrode method to inject a 1kHz AC signal between the grounding electrode and the tunnel structure, measure the voltage-current phase difference and calculate the real part of the impedance.

[0115] S4: By extracting the working status data stored in the cloud network of power tunnel monitoring data, analyze and judge the operating status of the power tunnel grounding system;

[0116] S4 includes:

[0117] S41: Extract the stray current corrosion threat value obtained in step S23 The threat value of stray current corrosion With preset threshold Compare:

[0118] If stray current corrosion threat level Less than or equal to the preset threshold Execute step S42;

[0119] If stray current corrosion threat level Greater than the preset threshold Execute step S43;

[0120] S42: Synchronously monitor the real-time potential offset of the grounding electrode in step S3. ,include:

[0121] when If the voltage is less than or equal to 0.1 volts, return to step S41;

[0122] when For voltages less than or equal to 0.5 volts and greater than 0.1 volts, the recommended output is to activate the backup grounding circuit and request a manual inspection.

[0123] when When the voltage is greater than 0.5 volts, the recommended output is to force the cathodic protection system to be activated and send an emergency power-off request to the monitoring center.

[0124] S4 also includes:

[0125] S43: Extraction step S231 to calculate the electrochemical corrosion threat value and grounding failure threat value And make threat status decisions, including:

[0126] When the threat level of electrochemical corrosion When the level exceeds the historical average level of electrochemical corrosion threat, it indicates that the metal structure of the power tunnel is undergoing accelerated electrochemical corrosion, and the anti-corrosion control process step S44 is executed.

[0127] When the grounding failure threat value When the grounding failure threat level exceeds the historical average level, it indicates that the grounding system is at risk of performance degradation, and grounding maintenance procedure step S45 is executed.

[0128] When both exceed their corresponding threat status decision thresholds, it indicates that the tunnel is in a compound fault state, and emergency response procedure step S46 is executed.

[0129] S44: Average concentration of metal structure ion release based on the data collected in step S3 Calculate the rate of change of ion concentration per unit time. When the rate of change of ion concentration corresponds to three consecutive monitoring periods When all values ​​exceed the ion concentration fluctuation threshold, it should be noted that the ion concentration change rate corresponds to three consecutive monitoring periods. All values ​​exceeding the ion concentration fluctuation threshold indicate that corrosion products are precipitating at an accelerated rate, triggering the anti-corrosion coating repair command.

[0130] For example, in this embodiment, the anti-corrosion coating repair instruction includes: based on the average concentration of metal structure ion release collected in step S3. Locate corrosion hotspots and determine the electrochemical corrosion threat level. Epoxy resin was selected to create a coating repair solution.

[0131] S45: Grounding grid transition resistance based on the data collected in step S3 Based on the median level of the grounding grid transition resistance during historical monitoring periods, the resistance fluctuation of the grounding grid is calculated, including: calculating the grounding grid transition resistance obtained from real-time monitoring. The absolute value of the difference between the grounding grid transition resistance and the median level of the grounding grid transition resistance during the historical monitoring period is then divided by the absolute value to obtain the resistance fluctuation of the grounding grid.

[0132] When the resistance fluctuation of the grounding grid exceeds the maximum resistance fluctuation during the historical monitoring period, a grounding grid resistance reduction maintenance command is triggered.

[0133] For example, in this embodiment, the grounding grid resistance reduction maintenance instruction includes: determining the location of high-resistivity strata based on the three-dimensional distribution model of stratum resistivity, and activating an automatic grouting system to improve the grounding efficiency of the power tunnel.

[0134] S46: First, take the time partial derivative of the grounding failure threat value to obtain the grounding degradation acceleration. It should be noted that if the result of the grounding degradation acceleration is positive and larger, it indicates that the grounding risk deterioration is more significant.

[0135] It should also be noted that grounding grid failure often presents a dual failure mode of gradual change and sudden occurrence. This involves both the slow accumulation of corrosion and the gradual deterioration of grounding performance, as well as the possibility of sudden failure exceeding limits. Compared to existing technologies that rely solely on grounding failure threat values ​​(static results of threat values) to quantify risk, which only reflect the current level of risk but cannot quantify whether the risk is accelerating or gradually mitigating, for example, even if any of the aforementioned threat values ​​is small but the acceleration is positive and large, an alarm should still be triggered even if none of the aforementioned threat values ​​exceed the limit. This indicates that the risk is accumulating rapidly. Therefore, in this embodiment, the grounding degradation acceleration is used to predict the evolution of risk.

[0136] Then, the electrochemical corrosion threat value and grounding failure threat value Mapped into three-dimensional space, generating a three-dimensional risk field strength. Specifically:

[0137] ;

[0138] in, It is the three-dimensional distribution model of formation resistivity in step S1;

[0139] It should be noted that, The electrical properties of the strata used to reflect the location of power tunnels can affect corrosion development. In this embodiment, considering that strata resistivity affects corrosion current propagation and thus alters the spatial distribution of corrosion risk, an electrochemical corrosion threat value is used. and Multiplication reflects the intensity of the corrosion threat distribution in space.

[0140] It is the spatial gradient of formation resistivity in the three-dimensional distribution model of formation resistivity in step S1;

[0141] It should be noted that, This is used to reflect the rate of change of resistivity in space. A large gradient indicates a drastic change in the electrical properties of the stratum where the power tunnel is located. In this embodiment, considering that grounding risk is closely related to changes in stratum resistivity, areas with large gradients are more prone to grounding failures. Therefore, a grounding failure threat value is used. and Multiplication aims to reflect the intensity of the distribution of grounding threats in space;

[0142] In this embodiment, it should also be noted that the establishment of the three-dimensional risk field strength is essentially for the purpose of quantifying the current risk distribution in space under dynamic trend-driven conditions.

[0143] Finally, based on the three-dimensional risk field strength The isosurface rendering outputs a corrosion diffusion prediction map; simultaneously, based on the spatial gradient of grounding degradation acceleration, a grounding failure thermal map is output.

[0144] It should be noted that isosurfaces are curved surfaces in three-dimensional space where the risk field strength is equal. By rendering, the areas where corrosion risk may spread can be quantified. For example, in areas with high field strength, corrosion may spread more rapidly.

[0145] It should also be noted that for the spatial gradient of grounding degradation acceleration, areas with large gradients have rapidly changing grounding failure risks. This can be presented using a heatmap, where the depth of color represents the rate of risk change. This can effectively help maintenance personnel quickly identify the areas where grounding risk deterioration is most severe.

[0146] S5: Based on the analysis of the grounding system's operating status, classify and output dynamic maintenance recommendations and send them to the monitoring center for confirmation by supervisory personnel regarding the protection strategy for the power tunnel.

[0147] Example 2:

[0148] like Figure 3 As shown in the figure, the power tunnel monitoring system based on geological data analysis of this invention is as follows: Figure 3 As shown, it includes the following modules:

[0149] The module includes a data acquisition module, a stray current threat quantification module, a working status data monitoring module, an operating status judgment module, and a protection strategy output module.

[0150] The data acquisition module constructs a three-dimensional distribution model of stratum resistivity based on geological exploration data along the power tunnel and integrates spatial distribution data of groundwater mineralization.

[0151] The stray current threat quantification module is used to collect electromagnetic environment data of the power tunnel and calculate stray current corrosion threat value based on the three-dimensional distribution model of stratum resistivity and groundwater mineralization data.

[0152] The working status data monitoring module synchronously extracts the working status data of the grounding system working nodes of the power tunnel, and uploads and stores the working status data to the power tunnel supervision data cloud network.

[0153] The operation status judgment module extracts the operation status data stored in the power tunnel monitoring data cloud network to analyze and judge the operation status of the power tunnel grounding system.

[0154] The protection strategy output module outputs dynamic maintenance suggestions based on the analyzed grounding system operating status and sends them to the monitoring center for confirmation by supervisors regarding the protection strategy for the power tunnel.

[0155] Example 3:

[0156] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0157] The processor executes the aforementioned power tunnel monitoring method based on geological data analysis by calling computer programs stored in memory.

[0158] The electronic device can vary considerably depending on its configuration and performance. It may include one or more Central Processing Units (CPUs) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement the power tunnel monitoring method based on geological data analysis provided in the above-described embodiment. The electronic device may also include other components for implementing its functions; for example, it may have wired or wireless network interfaces and input / output interfaces for data input and output. Further details are omitted in this embodiment.

[0159] Example 4:

[0160] This embodiment proposes a computer-readable storage medium on which an erasable and rewritable computer program is stored.

[0161] When a computer program runs on a computer device, it causes the computer device to execute the aforementioned power tunnel monitoring method based on geological data analysis. For example, a computer-readable storage medium can be a read-only memory (ROM), random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, or optical data storage device, etc.

[0162] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0163] It should be understood that determining B based on A does not mean determining B solely based on A; it also means determining B based on A and / or other information.

[0164] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the flow or function according to the embodiments of the present invention is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired network and / or wireless network. A computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives (SSDs).

[0165] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0166] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0167] In the several embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only one method, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0168] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0169] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0170] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A power tunnel monitoring method based on geological data analysis, characterized in that, The method includes: S1: Construct a three-dimensional distribution model of stratum resistivity based on geological exploration data along the power tunnel, and integrate spatial distribution data of groundwater mineralization; S2: Collect environmental data of the power tunnel, and calculate the stray current corrosion threat value based on the three-dimensional distribution model of the stratum resistivity and the groundwater salinity data; including the following specific steps: S21: Collect environmental data of the power tunnel, including: real-time data of the grounding electrode potential gradient of the power tunnel, the rate of change of the oxide film thickness of the metal structure, and the mineralization of groundwater. S22: The interface of the power tunnel affected by stray currents is divided into S monitoring sections on average. The formation resistivity data in the three-dimensional distribution model of formation resistivity is imported into the stray current corrosion density assessment strategy to calculate the stray current corrosion density per unit monitoring section. At the same time, the stray current corrosion density per unit monitoring section is corrected based on the apparent activation energy of the corrosion reaction after mineralization correction to obtain the corrected stray current corrosion density. The stray current corrosion density assessment strategy is as follows: S221: Obtain formation resistivity data and reference formation resistivity for the monitored area. Calculate the ratio of the two, take the negative value, and substitute it into the exponential function based on the natural index to obtain... Simultaneously obtain groundwater salinity. ;according to With groundwater mineralization Geological enhancement factors were obtained. Among them, geological enhancement factors The acquisition strategy is as follows: ;in, Let be the formation resistivity of section s; It is a sensitivity coefficient of mineralization to corrosion enhancement, calibrated through experiments, reflecting the difference in the intensity of corrosion intensity caused by groundwater mineralization in different strata; S222: Extract the geological enhancement factor output from step S221 Furthermore, the stray current corrosion density of the monitoring section S was quantified, specifically as follows: ； in, To monitor the stray current corrosion density in section S; As a geological enhancement factor; Let be the cross-sectional area of ​​segment s; This refers to the directional current generated on the tunnel structure by the DC traction system; S223: Real-time acquisition of groundwater temperature parameters and mineralization indices within the monitoring area, simultaneous construction of activation energy correction model, introduction of benchmark activation energy corresponding to reference mineralization, and dynamic generation of apparent activation energy of corrosion reaction after mineralization correction through activation energy correction model. S224: Extract the stray current corrosion density of monitoring section S output from step S222. The apparent activation energy of the corrosion reaction after mineralization correction, as output in step S223, is used to import the extracted data into the stray current corrosion density correction strategy. Nonlinear regression calculations are then used to dynamically correct the stray current corrosion density of the monitoring section S, ultimately yielding the corrected stray current corrosion density. ; S23: Extract the corrected stray current corrosion density Grounding electrode potential gradient and the rate of change of oxide film thickness in metal structures Based on a three-dimensional distribution model of ground resistivity, the stray current corrosion threat value of the power tunnel structure is simulated in real time. The power tunnel contains N sets of grounding electrodes; S3: Synchronously extract the working status data of the grounding system working nodes of the power tunnel, upload and store the working status data to the power tunnel monitoring data cloud network; S4: By extracting the working status data stored in the cloud network of power tunnel monitoring data, analyze and judge the operating status of the power tunnel grounding system; S5: Based on the analysis of the grounding system's operating status, classify and output dynamic maintenance recommendations and send them to the monitoring center for confirmation by supervisory personnel regarding the protection strategy for the power tunnel.

2. The power tunnel monitoring method based on geological data analysis according to claim 1, characterized in that, In S222, the directional current generated by the DC traction system on the tunnel structure is obtained through a directional current quantization strategy, which is specifically as follows: ； in, This serves as the reference value for leakage current in a DC traction system. This is the vertical distance between the power tunnel and the traction track; is the skin depth attenuation coefficient of the current.

3. The power tunnel monitoring method based on geological data analysis according to claim 2, characterized in that, In step S23, based on the three-dimensional distribution model of ground resistivity, the stray current corrosion threat value of the power tunnel structure is simulated in real time. ,include: S231: Extract the corrected stray current corrosion density output from step S22. Obtain the rate of change of oxide film thickness over time at all M monitoring points. And extract the maximum value. Simultaneously, the standard oxide film loss rate was introduced, and the above data was imported into the electrochemical corrosion threat value calculation strategy to calculate the electrochemical corrosion threat value. ; S232: Obtain the real-time potential gradient of the grounding electrode, preset the safe potential gradient threshold, synchronously analyze historical monitoring data to obtain the maximum potential gradient deviation, and calculate the grounding failure threat value based on the above parameters. ; S233: Retrieve the obtained electrochemical corrosion threat value and grounding failure threat value The stray current corrosion threat value of the power tunnel structure is obtained by weighted summation of the two values. .

4. The power tunnel monitoring method based on geological data analysis according to claim 3, characterized in that, In step S3, the working status data of the working node of the power tunnel grounding system includes: real-time potential offset of the grounding electrode. Average concentration of ions released from the overall metal structure of the power tunnel and grounding grid transition resistance .

5. The power tunnel monitoring method based on geological data analysis according to claim 4, characterized in that, S4 include: S41: Extract the stray current corrosion threat value obtained in step S23 The threat value of stray current corrosion With preset threshold Compare: If stray current corrosion threat level Less than or equal to the preset threshold Execute step S42; If stray current corrosion threat level Greater than the preset threshold Execute step S43; S42: Synchronously monitor the real-time potential offset of the grounding electrode in step S3. ,include: when If the voltage is less than or equal to 0.1 volts, return to step S41; when For voltages less than or equal to 0.5 volts and greater than 0.1 volts, the recommended output is to activate the backup grounding circuit and request a manual inspection. when When the voltage is greater than 0.5 volts, the recommended output is to force the cathodic protection system to be activated and send an emergency power-off request to the monitoring center.

6. The power tunnel monitoring method based on geological data analysis according to claim 5, characterized in that, S4 also includes: S43: Extraction step S231 to calculate the electrochemical corrosion threat value and grounding failure threat value And make threat status decisions, including: When the threat level of electrochemical corrosion When the level exceeds the historical average level of electrochemical corrosion threat, it indicates that the metal structure of the power tunnel is undergoing accelerated electrochemical corrosion, and the anti-corrosion control process step S44 is executed. When the grounding failure threat value When the grounding failure threat level exceeds the historical average level, it indicates that the grounding system is at risk of performance degradation, and grounding maintenance procedure step S45 is executed. When both exceed their corresponding threat status decision thresholds, it indicates that the tunnel is in a compound fault state, and emergency response procedure step S46 is executed. S44: Average concentration of metal structure ion release based on the data collected in step S3 Calculate the rate of change of ion concentration per unit time. When the rate of change of ion concentration corresponds to three consecutive monitoring periods When all values ​​exceed the ion concentration fluctuation threshold, a repair command for the anti-corrosion coating is triggered. S45: Grounding grid transition resistance based on the data collected in step S3 Based on the median level of the grounding grid transition resistance during historical monitoring periods, the resistance fluctuation of the grounding grid is calculated, including: calculating the grounding grid transition resistance obtained from real-time monitoring. The absolute value of the difference between the grounding grid transition resistance and the median level of the grounding grid transition resistance during the historical monitoring period is then divided by the absolute value to obtain the resistance fluctuation of the grounding grid. When the resistance fluctuation of the grounding grid exceeds the maximum resistance fluctuation during the historical monitoring period, a grounding grid resistance reduction maintenance command is triggered.

7. The power tunnel monitoring method based on geological data analysis according to claim 6, characterized in that, S4 also includes: S46: First, take the time partial derivative of the grounding failure threat value to obtain the grounding degradation acceleration; Then, the electrochemical corrosion threat value and grounding failure threat value Mapped into three-dimensional space, generating a three-dimensional risk field strength. Specifically: ； in, It is the three-dimensional distribution model of formation resistivity in step S1; It is the spatial gradient of formation resistivity in the three-dimensional distribution model of formation resistivity in step S1; Finally, based on the three-dimensional risk field strength The isosurface rendering outputs a corrosion diffusion prediction map; simultaneously, based on the spatial gradient of grounding degradation acceleration, a grounding failure thermal map is output.

8. A power tunnel monitoring system based on geological data analysis, used to implement the power tunnel monitoring method based on geological data analysis as described in any one of claims 1-7, characterized in that, The system includes: The module includes a data acquisition module, a stray current threat quantification module, a working status data monitoring module, an operating status judgment module, and a protection strategy output module. The data acquisition module constructs a three-dimensional distribution model of stratum resistivity based on geological exploration data along the power tunnel and integrates spatial distribution data of groundwater mineralization. The stray current threat quantification module is used to collect electromagnetic environment data of the power tunnel and calculate stray current corrosion threat value based on the three-dimensional distribution model of stratum resistivity and groundwater mineralization data. The working status data monitoring module synchronously extracts the working status data of the grounding system working nodes of the power tunnel, and uploads and stores the working status data to the power tunnel supervision data cloud network. The operation status judgment module extracts the operation status data stored in the power tunnel monitoring data cloud network to analyze and judge the operation status of the power tunnel grounding system. The protection strategy output module outputs dynamic maintenance suggestions based on the analyzed grounding system operating status and sends them to the monitoring center for confirmation by supervisors regarding the protection strategy for the power tunnel.

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