Electric power tunnel monitoring system and method based on geological data analysis

Abstract

The invention relates to the technical field of data analysis, and provides an electric power tunnel monitoring system and method based on geological data analysis, and the method specifically comprises the steps: constructing a stratum resistivity three-dimensional distribution model according to the geological exploration data along an electric power tunnel, and fusing the underground water mineralization degree space distribution data; calculating a stray current corrosion threat value according to the formation resistivity three-dimensional distribution model and the underground water mineralization degree data; uploading and storing the extracted working state data to a power tunnel supervision data cloud network; analyzing and judging the operation state of the power tunnel grounding system; and according to the operation state of the grounding system obtained through analysis, outputting dynamic maintenance suggestions in a classified manner and sending the suggestions to a monitoring center. According to the invention, the problem that the corrosion risk caused by stray current is rarely accurately quantified in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and is a power tunnel monitoring system and method based on geological data analysis. Background Art

[0002] Existing technologies in the field of power tunnel safety monitoring face the following challenges: First, stray current corrosion is highly dynamic and hidden due to complex electromagnetic environments (such as leakage from adjacent DC traction systems). Traditional monitoring methods rely on discrete potential gradient measurements and static ground resistance testing, failing to dynamically track how current paths change with geological conditions. In particular, they overlook the impact of stray current accumulation on the geological environment. Second, existing technologies fail to consider groundwater salinity, neither incorporating it into corrosion risk assessment systems nor quantitatively analyzing the coupling effect between salinity and resistivity. This results in a high rate of missed corrosion hotspots, as high as 40%. Furthermore, grounding system performance assessment suffers from serious flaws: current standards rely solely on single-point ground resistance measurements, failing to reflect the health of the grounding grid's current distribution under realistic geological conditions (such as current path blockage caused by localized high-resistance layers). They also fail to capture transient potential surges caused by sudden changes in resistivity gradients, which pose a safety hazard to personnel during lightning strikes or short circuits and reduce the ability to provide early warning of combined corrosion-grounding failures. These limitations of existing technologies create practical operational and maintenance challenges for power tunnels. Summary of the Invention

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

[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: S1: Construct a 3D distribution model of formation resistivity based on geological exploration data along the power tunnel, and integrate it with the spatial distribution data of groundwater salinity; S2: collecting environmental data of the power tunnel and calculating the stray current corrosion threat value based on the three-dimensional distribution model of the formation resistivity and the groundwater salinity data; S3: Synchronously extract the working status data of the working nodes of the grounding system of the power tunnel, upload and store the working status data to the power tunnel supervision data cloud network; S4: Analyze and determine the operating status of the power tunnel grounding system by extracting the working status data stored in the power tunnel supervision data cloud network; S5: Based on the analyzed operating status of the grounding system, dynamic maintenance recommendations are output and sent to the monitoring center, where supervisors confirm the protection strategy for the power tunnel.

[0005] Preferably, step S2 includes the following specific steps: S21: Collecting 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 groundwater salinity; S22: The interface of the power tunnel affected by stray current is evenly divided into S monitoring sections, and 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 of the unit monitoring section. At the same time, the stray current corrosion density of the unit monitoring section is corrected based on the apparent activation energy of the corrosion reaction corrected by the mineralization to obtain the corrected stray current corrosion density. ; S23: Extraction of corrected stray current corrosion density , grounding electrode potential gradient and the rate of change of the oxide film thickness of the metal structure , based on the three-dimensional distribution model of the formation resistivity, real-time simulation of the stray current corrosion threat to the power tunnel structure , wherein the power tunnel includes N groups of grounding electrodes.

[0006] Preferably, in S22, the stray current corrosion density assessment strategy is as follows: S221: Obtain formation resistivity data and reference formation resistivity data of the monitoring area , calculate the ratio of the two, and then insert the negative value into the exponential function based on the natural exponential to obtain ; At the same time, obtain the groundwater mineralization ;according to Groundwater mineralization Get the geological enhancement factor ; S222: Extract the geological enhancement factor output in step S221 , and quantify the stray current corrosion density in the monitoring section S, specifically: ; in, is the stray current corrosion density of monitoring section S; is the geological enhancement factor; is the cross-sectional area of ​​segment s; It is the directional current generated by the DC traction system on the tunnel structure; S223: Real-time collection of groundwater temperature parameters and salinity indicators within the monitoring area, simultaneous construction of an activation energy correction model, introduction of a reference activation energy corresponding to the reference salinity, and dynamic generation of the salinity-corrected apparent activation energy of the corrosion reaction through the activation energy correction model; S224: Extract the stray current corrosion density of the monitoring section S output in step S222 The apparent activation energy of the corrosion reaction after mineralization correction is output from step S223. The extracted data are imported into the stray current corrosion density correction strategy. The stray current corrosion density of the monitoring section S is dynamically corrected by nonlinear regression operation, and the corrected stray current corrosion density is finally obtained. .

[0007] Preferably, in S222, the directional current generated by the DC traction system on the tunnel structure is obtained by a directional current quantization strategy, and the directional current quantization strategy is specifically: ; in, is the DC traction system leakage current reference value; is the vertical distance between the power tunnel and the traction track; is the current skin depth attenuation coefficient.

[0008] 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 formation resistivity. ,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 introduce the standard oxide film loss rate, import the above data into the electrochemical corrosion threat value calculation strategy, and calculate the electrochemical corrosion threat value ; S232: Obtain the real-time potential gradient of the grounding electrode, preset the safety potential gradient threshold, synchronously analyze the historical monitoring data to obtain the maximum potential gradient deviation, and calculate the grounding failure threat value based on the above parameters to obtain the grounding failure threat value. ; S233: Call the obtained electrochemical corrosion threat value and ground failure threat value , and perform weighted summation of the two to obtain the stray current corrosion threat value of the power tunnel structure .

[0009] Preferably, in step S3, the working status data of the working node of the power tunnel grounding system includes: the real-time potential offset of the grounding electrode; , the average concentration of ion release from the metal structure of the power tunnel as a whole and grounding grid transition resistance .

[0010] Preferably, S4 includes: S41: Extracting the stray current corrosion threat value obtained in step S23 , the stray current corrosion threat value With preset threshold Compare: If the stray current corrosion threat value Less than or equal to the preset threshold , execute step S42; If the stray current corrosion threat value 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 When the voltage is less than or equal to 0.1 volt, return to step S41; when When the voltage is less than or equal to 0.5 volts and greater than 0.1 volts, the output recommends: Activate the backup ground path and request manual inspection; when When the voltage is greater than 0.5V, the output suggestion is: force the cathodic protection system to be enabled and send an emergency power-off request to the monitoring center.

[0011] Preferably, S4 further includes: S43: Extract the electrochemical corrosion threat value calculated in step S231 and ground failure threat value , and make threat status decisions, including: When the electrochemical corrosion threat value When the historical average electrochemical corrosion threat level is exceeded, it indicates that the metal structure of the power tunnel is experiencing accelerated electrochemical corrosion, and the anti-corrosion control process step S44 is executed; When the ground failure threat value When the historical average grounding failure threat level is exceeded, it indicates that the grounding system has a risk of performance degradation, and the grounding maintenance process step S45 is executed; When both exceed their corresponding threat state decision thresholds, it indicates that the tunnel is in a compound fault state, and the emergency response process step S46 is executed; S44: Based on the average concentration of metal structure ions released collected in step S3 , calculate the rate of change of ion concentration per unit time , when the ion concentration change rate corresponding to three consecutive monitoring cycles is When both are greater than the ion concentration fluctuation threshold, the anti-corrosion coating repair instruction is triggered; S45: Based on the grounding grid transition resistance collected in step S3 , combined with the median level of the grounding grid transition resistance during the historical monitoring period, calculate the resistance fluctuation of the grounding grid, including: calculating the grounding grid transition resistance obtained from real-time monitoring The absolute value of the difference between the median level of the grounding grid transition resistance during the historical monitoring period; then, the absolute value is divided by the median level of the grounding grid transition resistance during the historical monitoring period to obtain the resistance fluctuation of the grounding grid; When the resistance fluctuation of the grounding grid is greater than the maximum resistance fluctuation in the historical monitoring period, the grounding grid resistance reduction maintenance instruction is triggered.

[0012] Preferably, S4 further includes: S46: First, the time partial derivative of the ground failure threat value is calculated to obtain the ground degradation acceleration; Then, the electrochemical corrosion threat value and ground failure threat value Mapping to three-dimensional space to generate three-dimensional risk field strength , specifically: ; in, is the three-dimensional distribution model of formation resistivity in step S1; is the spatial gradient of the 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 is used to output the corrosion diffusion prediction map; at the same time, based on the spatial gradient of the ground degradation acceleration, the ground failure heat map is output.

[0013] In addition, the power tunnel monitoring system based on geological data analysis of the present invention includes the following modules: Data acquisition module, stray current threat quantification module, working status data monitoring module, operating status judgment module and 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 the spatial distribution data of groundwater salinity; The stray current threat quantification module is used to collect electromagnetic environment data of the power tunnel and calculate the stray current corrosion threat value based on the three-dimensional distribution model of formation resistivity and groundwater salinity data; The working status data monitoring module synchronously extracts the working status data of the working nodes of the grounding system of the power tunnel, uploads and stores the working status data to the power tunnel supervision data cloud network; The operating status judgment module extracts the working status data stored in the power tunnel supervision data cloud network to analyze and judge the operating status of the power tunnel grounding system; The protection strategy output module outputs dynamic maintenance suggestions according to the analyzed grounding system operating status and sends them to the monitoring center, and the supervisor confirms the protection strategy for the power tunnel.

[0014] Compared with existing technologies, this invention achieves precise control of stray current corrosion and grounding effectiveness risks in power tunnels by deeply integrating a three-dimensional formation resistivity model with dynamic groundwater salinity data. The details are as follows: 1. This invention establishes a geological-electromagnetic coupled stray current flow field dynamic simulation system. Based on the spatial distribution of resistivity and real-time changes in salinity, it accurately predicts the accumulation path of corrosion current in low-resistance strata and high-salinity areas. This significantly improves the identification rate of high-risk corrosion areas, guides the targeted deployment of cathodic protection systems, reduces maintenance costs, and extends the life of tunnel structures compared to existing methods. 2. This invention breaks through the limitations of single-point static assessment of grounding systems. Through resistivity gradient field strength mapping and potential gradient anomaly analysis, it achieves three-dimensional visual diagnosis of the current health status of the grounding system, actively repairs weak nodes before lightning strikes or short-circuit faults, and reduces grounding failure accidents. 3. The present invention establishes an intelligent early warning mechanism for corrosion-grounding composite failure, integrating the electrochemical activation energy correction model with the grounding degradation acceleration algorithm to predict composite failures in advance, reduce the frequency of emergency maintenance, and improve the overall safety level of the tunnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them: Figure 1 Schematic diagram of the flow of the power tunnel monitoring method based on geological data analysis of the present invention; Figure 2 Schematic diagram of the process of step S2 of the present invention; Figure 3 It is a structural schematic diagram of the power tunnel monitoring system based on geological data analysis of the present invention. DETAILED DESCRIPTION

[0016] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0017] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0018] Secondly, the term "one embodiment" or "embodiment" 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 various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0019] Example 1:

[0020] like Figure 1 As shown, the power tunnel monitoring method based on geological data analysis of the embodiment of the present invention is as follows: Figure 1 As shown, the specific steps are as follows: S1: Construct a 3D distribution model of formation resistivity based on geological exploration data along the power tunnel, and integrate it with the spatial distribution data of groundwater salinity; S2: collecting environmental data of the power tunnel and calculating the stray current corrosion threat value based on the three-dimensional distribution model of the formation resistivity and the groundwater salinity data; like Figure 2 As shown, step S2 includes the following specific steps: S21: Collecting 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 groundwater salinity; S22: The interface of the power tunnel affected by stray current is evenly divided into S monitoring sections, and 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 of the unit monitoring section. At the same time, the stray current corrosion density of the unit monitoring section is corrected based on the apparent activation energy of the corrosion reaction corrected by the mineralization to obtain the corrected stray current corrosion density. ; S23: Extraction of corrected stray current corrosion density , grounding electrode potential gradient and the rate of change of the oxide film thickness of the metal structure , based on the three-dimensional distribution model of the formation resistivity, real-time simulation of the stray current corrosion threat to the power tunnel structure , wherein the power tunnel includes N groups of grounding electrodes.

[0021] In S22, the stray current corrosion density assessment strategy is as follows: S221: Obtain formation resistivity data and reference formation resistivity data of the monitoring area , calculate the ratio of the two, and then insert the negative value into the exponential function based on the natural exponential to obtain ; At the same time, obtain the groundwater mineralization ;according to Groundwater mineralization Get the geological enhancement factor ; For example, in this embodiment, a geological enhancement factor is provided. The acquisition strategy is as follows: ;in, is the formation resistivity of section s; It is the sensitivity coefficient of mineralization to corrosion enhancement calibrated by experiments, reflecting the difference in the intensity of the impact of groundwater mineralization on corrosion in different strata; It should be noted that for When the resistivity of the formation is lower, the resistance of the stray current flowing in the formation is smaller. When the stray current can drive the electrochemical corrosion reaction more efficiently, the current is easier to conduct, making the corrosion risk higher. , groundwater mineralization The more the total amount of conductive ions in the formation water, that is, the formation soil solution, the better the conductivity of the solution. Therefore, the higher the mineralization of groundwater, the more likely electrochemical corrosion will occur.

[0022] 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 not conductive, i.e. If the mineralization is 0, even if the mineralization is high, the overall geological enhancement factor is 0, that is, there is no current conduction and the mineralization cannot play a role; if the mineralization is 0, even if the formation is highly conductive, the groundwater mineralization cannot promote corrosion. At this time, the geological enhancement factor is only determined by the resistivity, which is in line with the actual engineering laws.

[0023] S222: Extract the geological enhancement factor output in step S221 , and quantify the stray current corrosion density in the monitoring section S, specifically: ; in, is the stray current corrosion density of monitoring section S; is the geological enhancement factor; is the cross-sectional area of ​​segment s; It is the directional current generated by the DC traction system on the tunnel structure, which is the driving force of the stray current and provides the energy for the corrosion reaction; It should be noted that the essence of quantitative assessment of the stray current corrosion density in monitoring section S is to quantify the corrosion current density of the entire monitoring section based on the geological enhancement factor and traction current. The DC traction system will leak stray current. When the stray current flows through metal structures (such as tunnel steel bars and metal pipelines), it will induce 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 the corrosion intensity, which is used to characterize the influence of the geological environment on the corrosion reaction caused by stray current.

[0024] S223: Real-time collection of groundwater temperature parameters and salinity indicators within the monitoring area, simultaneous construction of an activation energy correction model, introduction of a reference activation energy corresponding to the reference salinity, and dynamic generation of the salinity-corrected apparent activation energy of the corrosion reaction through the activation energy correction model; For example, in this embodiment, an implementation example of dynamically generating the apparent activation energy of a corrosion reaction corrected for salinity using an activation energy correction model is provided, specifically: ; in, is the apparent activation energy of the corrosion reaction after correction by mineralization; The reference activation energy under the reference salinity represents the basic energy barrier that needs to be overcome to start and continue the reaction; is the mineralization-activation energy sensitivity coefficient, which is calibrated through electrochemical corrosion experiments in this embodiment; The absolute deviation between the current mineralization and the reference mineralization 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 corrosion environment. It should be noted that in this embodiment, the activation energy correction model provided is based on the Arrhenius equation. In a 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 and thus affect the reaction activation energy. Therefore, in this embodiment, the baseline activation energy is corrected by the salinity of the location where the power tunnel is located. S224: Extract the stray current corrosion density of the monitoring section S output in step S222 The apparent activation energy of the corrosion reaction after the mineralization correction output in step S223 is imported into the stray current corrosion density correction strategy. The stray current corrosion density of the monitoring section S is dynamically corrected by nonlinear regression operation, and finally the corrected stray current corrosion density that can accurately characterize the hydrogeological conditions of the current power tunnel stratum is obtained. .

[0025] For example, in this embodiment, a stray current corrosion density correction strategy is provided, specifically: ; in, is the corrected stray current corrosion density; R is the ideal gas constant, is the preset reference temperature, T is the groundwater temperature data; It should be noted that the stray current corrosion density of the monitoring section S output in step S222 is Aims to reflect the rate intensity of corrosion reaction and stray current corrosion density The larger it is, the faster the rate at which metal loses electrons per unit area (that is, the corrosion reaction occurs).

[0026] For the exponential term in the stray current corrosion density correction strategy provided in this embodiment, , is intended to reflect the effect of temperature deviation from the reference temperature on the stray current corrosion density after activation energy correction. ,but ,So , the exponential term is greater than 1, then The physical meaning of the above process is that when the temperature rises and the activation energy is corrected by the mineralization, the corrosion reaction is more likely to occur (that is, the corrosion rate is accelerated and the corrosion risk increases), which is consistent with the fact that rising temperature usually accelerates chemical reactions (that is, the law of the Arrhenius equation); at the same time, the activation energy changes due to changes in mineralization, and the activation energy will adjust the amplitude of the temperature acceleration effect, that is, the mineralization first changes the activation energy, and the activation energy then jointly affects the stray current corrosion density with the temperature. This is consistent with the actual situation of the coupling of multiple factors in the corrosion system in actual engineering scenarios.

[0027] It should be noted that the stray current corrosion density correction strategy provided in this embodiment is based on the Arrhenius equation, which is used to reflect the relationship between the reaction rate constant, 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 here to the reaction rate constant. Therefore, based on the Arrhenius equation, in this embodiment, the stray current corrosion density is corrected in combination with the apparent activation energy of the corrosion reaction after mineralization correction, the difference between the actual temperature and the preset reference temperature, in accordance with the kinetic law that temperature and activation energy jointly affect the corrosion rate.

[0028] In S222, the directional current generated by the DC traction system on the tunnel structure is obtained by a directional current quantization strategy, wherein the directional current quantization strategy is specifically: ; in, is the DC traction system leakage current reference value; is the vertical distance between the power tunnel and the traction track; is the current skin depth attenuation coefficient.

[0029] 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 formation resistivity. ,include: S231: Extract the corrected stray current corrosion density output from step S22 Based on the continuously monitored oxide film thickness data, differential calculation is performed to obtain the rate of change of the oxide film thickness of all M monitoring points over time. And extract the maximum value , simultaneously introduce the standard oxide film loss rate, import the above data into the electrochemical corrosion threat value calculation strategy, and calculate the electrochemical corrosion threat value ; For example, in this embodiment, a strategy for calculating the electrochemical corrosion threat value is provided, specifically: first, the corrosion critical current density of the metal material is determined based on multiple sets of metal material characteristic experiments. , and then the corrected stray current corrosion density Corrosion critical current density of metal materials The quotient is then multiplied by the maximum value of the oxide film thickness change rate. The ratio of the loss rate of the standard oxide film is used to obtain the electrochemical corrosion threat value. .

[0030] S232: Obtain the real-time potential gradient of the grounding electrode, preset the safety potential gradient threshold according to the industry safety standard, and simultaneously analyze the historical monitoring data to obtain the maximum potential gradient deviation. Based on the above parameters, calculate the grounding failure threat value to obtain the grounding failure threat value. ; For example, in this embodiment, a calculation strategy for a ground failure threat value is provided, including: first, calculating the difference between the real-time potential gradient of each grounding electrode and a preset safety potential gradient threshold, taking the absolute value of the difference, and then dividing the absolute value by the maximum potential gradient deviation to obtain a basic ground failure threat value; Then, the proportion of the resistivity at the current grounding electrode location relative to the average resistivity of the power tunnel is calculated to obtain the proportion coefficient of the resistivity at the current grounding electrode location; Then, the basic grounding failure threat value is multiplied by the corresponding resistivity ratio of the current grounding electrode location to obtain the grounding failure threat component of a single grounding electrode. Finally, the ground failure threat components of N grounding electrodes are summed and averaged to obtain the final ground failure threat value. .

[0031] S233: Call the obtained electrochemical corrosion threat value and ground failure threat value , and perform weighted summation of the two to obtain the stray current corrosion threat value of the power tunnel structure .

[0032] S3: Synchronously extract the working status data of the working nodes of the grounding system of the power tunnel, upload and store the working status data to the power tunnel supervision data cloud network; In step S3, the working status data of the working node of the power tunnel grounding system includes: the real-time potential offset of the grounding electrode , the average concentration of ion release from the metal structure of the power tunnel as a whole and grounding grid transition resistance .

[0033] It should be noted that, in this embodiment, the grounding electrode real-time potential offset , which aims to characterize the risk of grounding system failure, and its acquisition strategy is: through high-precision reference electrodes (e.g. The potential difference between the electrode and the grounding electrode is measured, the sampling frequency is set to 20 Hz, and the collected raw data is Kalman filtered to eliminate electromagnetic interference; It should also be noted that the average concentration of ion release from the metal structure of the power tunnel as a whole is The aim is to quantify the intensity of electrochemical corrosion. The acquisition strategy is to arrange an ion-selective electrode array around the ground electrode and measure the concentration of corrosive ions (e.g. 、 ), and then the overall concentration is calculated by spatial weighted averaging; It should also be noted that the grounding grid transition resistance The purpose is to reflect the connectivity status of the grounding system. The acquisition strategy is as follows: a 1kHz AC signal is injected between the grounding electrode and the tunnel structure using the quadrupole method, the voltage-current phase difference is measured, and the real part of the impedance is calculated.

[0034] S4: Analyze and determine the operating status of the power tunnel grounding system by extracting the working status data stored in the power tunnel supervision data cloud network; S4 includes: S41: Extracting the stray current corrosion threat value obtained in step S23 , the stray current corrosion threat value With preset threshold Compare: If the stray current corrosion threat value Less than or equal to the preset threshold , execute step S42; If the stray current corrosion threat value 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 When the voltage is less than or equal to 0.1 volt, return to step S41; when When the voltage is less than or equal to 0.5 volts and greater than 0.1 volts, the output recommends: Activate the backup ground path and request manual inspection; when When the voltage is greater than 0.5V, the output suggestion is: force the cathodic protection system to be enabled and send an emergency power-off request to the monitoring center.

[0035] The S4 also includes: S43: Extract the electrochemical corrosion threat value calculated in step S231 and ground failure threat value , and make threat status decisions, including: When the electrochemical corrosion threat value When the historical average electrochemical corrosion threat level is exceeded, it indicates that the metal structure of the power tunnel is experiencing accelerated electrochemical corrosion, and the anti-corrosion control process step S44 is executed; When the ground failure threat value When the historical average grounding failure threat level is exceeded, it indicates that the grounding system has a risk of performance degradation, and the grounding maintenance process step S45 is executed; When both exceed their corresponding threat state decision thresholds, it indicates that the tunnel is in a compound fault state, and the emergency response process step S46 is executed; S44: Based on the average concentration of metal structure ions released collected in step S3 , calculate the rate of change of ion concentration per unit time , when the ion concentration change rate corresponding to three consecutive monitoring cycles is When both are greater than the ion concentration fluctuation threshold, it should be noted that the ion concentration change rate corresponding to three consecutive monitoring cycles is All of them are greater than the ion concentration fluctuation threshold, indicating that corrosion products are accelerating precipitation, triggering the anti-corrosion coating repair instruction; For example, in this embodiment, the anti-corrosion coating repair instruction includes: according to the average concentration of metal structure ions released collected in step S3 Locate corrosion hot spots and determine the electrochemical corrosion threat value Select epoxy resin and generate coating repair plan; S45: Based on the grounding grid transition resistance collected in step S3 , combined with the median level of the grounding grid transition resistance during the historical monitoring period, calculate the resistance fluctuation of the grounding grid, including: calculating the grounding grid transition resistance obtained from real-time monitoring The absolute value of the difference between the median level of the grounding grid transition resistance during the historical monitoring period; then, the absolute value is divided by the median level of the grounding grid transition resistance during the historical monitoring period to obtain the resistance fluctuation of the grounding grid; When the resistance fluctuation of the grounding grid is greater than the maximum resistance fluctuation in the historical monitoring period, the grounding grid resistance reduction maintenance instruction is triggered.

[0036] Illustratively, in this embodiment, the grounding grid resistance reduction maintenance instruction includes: determining the location of high-resistance strata based on a three-dimensional distribution model of stratum resistivity, and starting an automatic grouting system to improve the grounding efficiency of the power tunnel.

[0037] S46: First, the time partial derivative of the ground failure threat value is calculated to obtain the ground degradation acceleration. It should be noted that if the result of the ground degradation acceleration is positive and larger, it means that the ground risk deteriorates more significantly. It should also be noted that grounding grid failure often exhibits a dual failure mode of gradual and sudden failure, with both gradual accumulation of corrosion and gradual deterioration of grounding performance, and sudden failure beyond the limit. Compared with the prior art, risk is quantified solely by the grounding failure threat value (static threat value result). This only reflects the current risk level, but cannot quantify whether the risk is accelerating or easing. For example, even when any of the above threat values ​​is small but the acceleration is positive and large, even if any of the above threat values ​​currently do not exceed the limit, an alarm is still required, indicating that the risk is rapidly accumulating. Therefore, in this embodiment, the grounding degradation acceleration is used to predict risk evolution.

[0038] Then, the electrochemical corrosion threat value and ground failure threat value Mapping to three-dimensional space to generate three-dimensional risk field strength , specifically: ; in, is the three-dimensional distribution model of formation resistivity in step S1; It should be noted that The electrical characteristics of the stratum used to reflect the location of the power tunnel will affect the development of corrosion. In this embodiment, considering that the stratum resistivity will affect the propagation of corrosion current and thus change the spatial distribution of corrosion risk, the electrochemical corrosion threat value is used. and Multiplying them together reflects the distribution intensity of corrosion threat in space.

[0039] is the spatial gradient of the formation resistivity in the three-dimensional distribution model of formation resistivity in step S1; It should be noted that It is used to reflect the rate of change of resistivity in space. When the gradient is large, it means that the electrical characteristics of the stratum where the power tunnel is located have changed dramatically. In this embodiment, considering that the grounding risk is closely related to the change of stratum resistivity, the area with large gradient is more likely to have grounding failure, so the grounding failure threat value is used. and Multiplication is intended to reflect the distribution intensity of grounding threat in space; In this embodiment, it should also be noted that the establishment of the three-dimensional risk field strength is essentially to quantify the distribution of current risks in space driven by dynamic trends.

[0040] Finally, based on the three-dimensional risk field strength The isosurface rendering outputs the corrosion diffusion prediction map; at the same time, based on the spatial gradient of the ground degradation acceleration, the ground failure heat map is output; It should be noted that the isosurface is a surface with equal risk field strength in three-dimensional space. By rendering, the areas where corrosion risk may spread can be quantified. For example, areas with high field strength are likely to have accelerated corrosion spread.

[0041] It should also be noted that for the spatial gradient of grounding degradation acceleration, the grounding failure risk changes rapidly in areas with large gradients. This can be presented using a heat map, where the depth of color represents the rate of risk change. This can effectively help operation and maintenance personnel quickly identify areas where the grounding risk deteriorates most dramatically.

[0042] S5: Based on the analyzed operating status of the grounding system, dynamic maintenance recommendations are output and sent to the monitoring center, where supervisors confirm the protection strategy for the power tunnel.

[0043] Example 2:

[0044] like Figure 3 As shown, the power tunnel monitoring system based on geological data analysis according to the embodiment of the present invention is as follows: Figure 3 As shown, it includes the following modules: Data acquisition module, stray current threat quantification module, working status data monitoring module, operating status judgment module and 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 the spatial distribution data of groundwater salinity; The stray current threat quantification module is used to collect electromagnetic environment data of the power tunnel and calculate the stray current corrosion threat value based on the three-dimensional distribution model of formation resistivity and groundwater salinity data; The working status data monitoring module synchronously extracts the working status data of the working nodes of the grounding system of the power tunnel, uploads and stores the working status data to the power tunnel supervision data cloud network; The operating status judgment module extracts the working status data stored in the power tunnel supervision data cloud network to analyze and judge the operating status of the power tunnel grounding system; The protection strategy output module outputs dynamic maintenance suggestions according to the analyzed grounding system operating status and sends them to the monitoring center, and the supervisor confirms the protection strategy for the power tunnel.

[0045] Example 3:

[0046] This embodiment provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned power tunnel monitoring method based on geological data analysis by calling the computer program stored in the memory.

[0047] This electronic device can vary significantly depending on its configuration or performance. It can include one or more processors (Central Processing Units, CPUs) and one or more memories. The memories store 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 method embodiment. The electronic device can also include other components for implementing its functions. For example, the electronic device can include components such as wired or wireless network interfaces and input / output interfaces for data input and output. This embodiment is not described in detail here.

[0048] Example 4:

[0049] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon; When the computer program is executed on a computer device, the computer device executes the above-described method for monitoring power tunnels based on geological data analysis. For example, the computer-readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, or an optical data storage device.

[0050] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean 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 the present application.

[0051] It should be understood that determining B based on A does not mean determining B based solely on A. B can also be determined based on A and / or other information.

[0052] The above embodiments can be implemented in whole or in part via software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. A computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are fully or partially 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 transferred from one computer-readable storage medium to another. For example, computer instructions can be transferred from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0053] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0054] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0055] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only one type. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0056] Units described as separate components may or may not be physically separate, and 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 these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0057] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0058] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present 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 comprises: S1: Construct a 3D distribution model of formation resistivity based on geological exploration data along the power tunnel, and integrate it with the spatial distribution data of groundwater salinity; S2: collecting environmental data of the power tunnel and calculating the stray current corrosion threat value based on the three-dimensional distribution model of the formation resistivity and the groundwater salinity data; S3: Synchronously extract the working status data of the working nodes of the grounding system of the power tunnel, upload and store the working status data to the power tunnel supervision data cloud network; S4: Analyze and determine the operating status of the power tunnel grounding system by extracting the working status data stored in the power tunnel supervision data cloud network; S5: Based on the analyzed operating status of the grounding system, dynamic maintenance recommendations are output and sent to the monitoring center, where supervisors confirm 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: Step S2 includes the following specific steps: S21: Collecting 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 groundwater salinity; S22: The interface of the power tunnel affected by stray current is evenly divided into S monitoring sections, and 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 of the unit monitoring section. At the same time, the stray current corrosion density of the unit monitoring section is corrected based on the apparent activation energy of the corrosion reaction corrected by the mineralization to obtain the corrected stray current corrosion density. ; S23: Extraction of corrected stray current corrosion density , grounding electrode potential gradient and the rate of change of the oxide film thickness of the metal structure , based on the three-dimensional distribution model of the formation resistivity, real-time simulation of the stray current corrosion threat to the power tunnel structure , wherein the power tunnel includes N groups of grounding electrodes.

3. The power tunnel monitoring method based on geological data analysis according to claim 2, characterized in that: In S22, the stray current corrosion density assessment strategy is as follows: S221: Obtain formation resistivity data and reference formation resistivity data of the monitoring area , calculate the ratio of the two, and then insert the negative value into the exponential function based on the natural exponential to obtain ; At the same time, obtain the groundwater mineralization ;according to Groundwater mineralization Get the geological enhancement factor ; S222: Extract the geological enhancement factor output in step S221 , and quantify the stray current corrosion density in the monitoring section S, specifically: ； in, is the stray current corrosion density of monitoring section S; is the geological enhancement factor; is the cross-sectional area of ​​segment s; It is the directional current generated by the DC traction system on the tunnel structure; S223: Real-time collection of groundwater temperature parameters and salinity indicators within the monitoring area, simultaneous construction of an activation energy correction model, introduction of a reference activation energy corresponding to the reference salinity, and dynamic generation of the salinity-corrected apparent activation energy of the corrosion reaction through the activation energy correction model; S224: Extract the stray current corrosion density of the monitoring section S output in step S222 The apparent activation energy of the corrosion reaction after mineralization correction is output from step S223. The extracted data are imported into the stray current corrosion density correction strategy. The stray current corrosion density of the monitoring section S is dynamically corrected by nonlinear regression operation, and the corrected stray current corrosion density is finally obtained. .

4. The power tunnel monitoring method based on geological data analysis according to claim 3 is characterized in that: In S222, the directional current generated by the DC traction system on the tunnel structure is obtained by a directional current quantization strategy, wherein the directional current quantization strategy is specifically: ； in, is the DC traction system leakage current reference value; is the vertical distance between the power tunnel and the traction track; is the current skin depth attenuation coefficient.

5. The power tunnel monitoring method based on geological data analysis according to claim 4 is characterized in that: 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 formation resistivity. ,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 introduce the standard oxide film loss rate, import the above data into the electrochemical corrosion threat value calculation strategy, and calculate the electrochemical corrosion threat value ; S232: Obtain the real-time potential gradient of the grounding electrode, preset the safety potential gradient threshold, synchronously analyze the historical monitoring data to obtain the maximum potential gradient deviation, and calculate the grounding failure threat value based on the above parameters to obtain the grounding failure threat value. ; S233: Call the obtained electrochemical corrosion threat value and ground failure threat value , and perform weighted summation of the two to obtain the stray current corrosion threat value of the power tunnel structure .

6. The power tunnel monitoring method based on geological data analysis according to claim 5, characterized in that: In step S3, the working status data of the working node of the power tunnel grounding system includes: the real-time potential offset of the grounding electrode , the average concentration of ion release from the metal structure of the power tunnel as a whole and grounding grid transition resistance .

7. The power tunnel monitoring method based on geological data analysis according to claim 6, characterized in that S4 include: S41: Extracting the stray current corrosion threat value obtained in step S23 , the stray current corrosion threat value With preset threshold Compare: If the stray current corrosion threat value Less than or equal to the preset threshold , execute step S42; If the stray current corrosion threat value 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 When the voltage is less than or equal to 0.1 volt, return to step S41; when When the voltage is less than or equal to 0.5 volts and greater than 0.1 volts, the output recommends: Activate the backup ground path and request manual inspection; when When the voltage is greater than 0.5V, the output suggestion is: force the cathodic protection system to be enabled and send an emergency power-off request to the monitoring center.

8. The power tunnel monitoring method based on geological data analysis according to claim 7, characterized in that: The S4 also includes: S43: Extract the electrochemical corrosion threat value calculated in step S231 and ground failure threat value , and make threat status decisions, including: When the electrochemical corrosion threat value When the historical average electrochemical corrosion threat level is exceeded, it indicates that the metal structure of the power tunnel is experiencing accelerated electrochemical corrosion, and the anti-corrosion control process step S44 is executed; When the ground failure threat value When the historical average grounding failure threat level is exceeded, it indicates that the grounding system has a risk of performance degradation, and the grounding maintenance process step S45 is executed; When both exceed their corresponding threat state decision thresholds, it indicates that the tunnel is in a compound fault state, and the emergency response process step S46 is executed; S44: Based on the average concentration of metal structure ions released collected in step S3 , calculate the rate of change of ion concentration per unit time , when the ion concentration change rate corresponding to three consecutive monitoring cycles is When both are greater than the ion concentration fluctuation threshold, the anti-corrosion coating repair instruction is triggered; S45: Based on the grounding grid transition resistance collected in step S3 , combined with the median level of the grounding grid transition resistance during the historical monitoring period, calculate the resistance fluctuation of the grounding grid, including: calculating the grounding grid transition resistance obtained from real-time monitoring The absolute value of the difference between the median level of the grounding grid transition resistance during the historical monitoring period; then, the absolute value is divided by the median level of the grounding grid transition resistance during the historical monitoring period to obtain the resistance fluctuation of the grounding grid; When the resistance fluctuation of the grounding grid is greater than the maximum resistance fluctuation in the historical monitoring period, the grounding grid resistance reduction maintenance instruction is triggered.

9. The power tunnel monitoring method based on geological data analysis according to claim 8, characterized in that: The S4 also includes: S46: First, the time partial derivative of the ground failure threat value is calculated to obtain the ground degradation acceleration; Then, the electrochemical corrosion threat value and ground failure threat value Mapping to three-dimensional space to generate three-dimensional risk field strength , specifically: ； in, is the three-dimensional distribution model of formation resistivity in step S1; is the spatial gradient of the 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 is used to output the corrosion diffusion prediction map; at the same time, based on the spatial gradient of the ground degradation acceleration, the ground failure heat map is output.

10. A power tunnel monitoring system based on geological data analysis, used to implement the power tunnel monitoring method based on geological data analysis according to any one of claims 1 to 9, characterized in that: The system comprises: Data acquisition module, stray current threat quantification module, working status data monitoring module, operating status judgment module and 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 the spatial distribution data of groundwater salinity; The stray current threat quantification module is used to collect electromagnetic environment data of the power tunnel and calculate the stray current corrosion threat value based on the three-dimensional distribution model of formation resistivity and groundwater salinity data; The working status data monitoring module synchronously extracts the working status data of the working nodes of the grounding system of the power tunnel, uploads and stores the working status data to the power tunnel supervision data cloud network; The operating status judgment module extracts the working status data stored in the power tunnel supervision data cloud network to analyze and judge the operating status of the power tunnel grounding system; The protection strategy output module outputs dynamic maintenance suggestions according to the analyzed grounding system operating status and sends them to the monitoring center, and the supervisor confirms the protection strategy for the power tunnel.

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