Hydropower station dam seepage state evaluation method and device

Abstract

The invention provides a hydropower station dam seepage state evaluation method and device. The method comprises the steps that at least one seepage pressure test point of a hydropower station dam is determined; performing correlation analysis on the pressure data of the seepage pressure test point and the water level data of the hydropower station dam; and obtaining a seepage state evaluation result of the hydropower station dam according to the value of the correlation coefficient. Firstly, seepage pressure test points of the hydropower station dam are determined, and seepage pressure change conditions of key areas can be monitored more directly; the water level data of the hydropower station dam is further combined, correlation analysis is performed on the pressure data of the seepage pressure test point, the correlation coefficient between the seepage pressure test point and the water level change is obtained, the internal relation between the seepage pressure test point and the water level change can be explained, and potential risks can be early warned in time; and according to the value of the correlation coefficient, the seepage state of the hydropower station dam can be quantitatively evaluated, and a basis is provided for a reasonable dam safety management strategy, so that the method has wide applicability.

Description

Technical Field

[0001] This application relates to the technical field of hydropower stations, and particularly to a method and device for evaluating the seepage state of a hydropower station dam. Background Art

[0002] As the operation years of hydropower station dams increase, many dams gradually enter the disease period, and seepage safety has become an important issue threatening the safety of dams. There are many deficiencies in the existing analysis of dam seepage monitoring data, such as low analysis efficiency, insufficient data analysis dimensions, large computational amount of analysis methods, and strict requirements for professional knowledge.

[0003] It should be noted that the above introduction to the technical background is only for the convenience of clearly and completely explaining the technical solutions of this application and facilitating the understanding of those skilled in the art. It cannot be considered that the above technical solutions are well-known to those skilled in the art just because these solutions are described in the background art part of this application. Summary of the Invention

[0004] The purpose of this application is to solve at least one of the technical problems in the related technologies to some extent.

[0005] To this end, the first purpose of this application is to propose a method for evaluating the seepage state of a hydropower station dam, which performs a correlation analysis on the pressure data of the seepage pressure measurement points and the water level data of the hydropower station dam, and can obtain the evaluation result of the seepage state of the hydropower station dam, improving the analysis efficiency.

[0006] The second purpose of this application is to propose a device for evaluating the seepage state of a hydropower station dam.

[0007] The third purpose of this application is to propose an electronic device.

[0008] The fourth purpose of this application is to propose a computer-readable storage medium.

[0009] The fifth purpose of this application is to propose a computer program product.

[0010] To achieve the above object, the first aspect embodiment of this application proposes a method for evaluating the seepage state of a hydropower station dam, including:

[0011] Determine at least one seepage pressure measurement point of the hydropower station dam, wherein the seepage pressure measurement point is obtained based on the weak part of the hydropower station dam;

[0012] Perform a correlation analysis on the pressure data of the seepage pressure measurement point and the water level data of the hydropower station dam, and obtain the correlation coefficient between the seepage pressure measurement point and the water level change;

[0013] Obtain the evaluation result of the seepage state of the hydropower station dam according to the value of the correlation coefficient.

[0014] To achieve the above object, an embodiment of the second aspect of the present application proposes an evaluation device for the seepage state of a hydropower station dam, including:

[0015] A first acquisition module, the first acquisition module is used to determine at least one seepage pressure test point of the hydropower station dam, wherein the seepage pressure test point is obtained based on the weak parts of the hydropower station dam;

[0016] A second acquisition module, the second acquisition module is used to perform a correlation analysis on the pressure data of the seepage pressure test point and the water level data of the hydropower station dam, and obtain the correlation coefficient between the seepage pressure test point and the water level change;

[0017] A judgment module, the judgment module is used to obtain the evaluation result of the seepage state of the hydropower station dam according to the value of the correlation coefficient.

[0018] To achieve the above object, an embodiment of the third aspect of the present application proposes an electronic device, including: a processor; a memory for storing instructions executable by the processor; wherein, the processor is configured to execute the instructions to implement the evaluation method for the seepage state of the hydropower station dam proposed in the first aspect embodiment of the present application.

[0019] To achieve the above object, an embodiment of the fourth aspect of the present application proposes a non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of the electronic device, the electronic device can execute the method proposed in the first aspect embodiment of the present application.

[0020] To achieve the above object, an embodiment of the fifth aspect of the present application proposes a computer program product, including a computer program, and the computer program realizes the method proposed in the first aspect embodiment of the present application when executed by the processor in the communication device.

[0021] The evaluation method and device for the seepage state of the hydropower station dam provided by the present application first determine the seepage pressure test points of the hydropower station dam, and can more directly monitor the seepage pressure change conditions in these key areas; further combine the water level data of the hydropower station dam, perform a correlation analysis on the pressure data of the seepage pressure test points, and obtain the correlation coefficient between the seepage pressure test points and the water level change, which can explain the internal relationship between the two and timely warn of potential risks; according to the value of the correlation coefficient, the seepage state of the hydropower station dam can be quantitatively evaluated, providing a basis for a reasonable dam safety management strategy, and thus has wide applicability.

[0022] Additional aspects and advantages of the present application will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present application. Description of the Drawings

[0023] The above-mentioned and / or additional aspects and advantages of the present application will become apparent and be readily understood from the following description of embodiments in conjunction with the drawings, where:

[0024] Figure 1 It is a schematic flow chart of a method for evaluating the seepage state of a hydropower dam provided by an embodiment of the present application;

[0025] Figure 2 It is another schematic flow chart of a method for evaluating the seepage state of a hydropower dam provided by an embodiment of the present application;

[0026] Figure 3 It is a schematic structural diagram of an apparatus for evaluating the seepage state of a hydropower dam provided by an embodiment of the present application;

[0027] Figure 4 It is a schematic structural diagram of an electronic device provided according to an embodiment of the present application. Detailed Embodiments

[0028] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the appended claims.

[0029] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to limit the embodiments of the present application. The singular forms "a" and "the" used in the embodiments of the present application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0030] It should be understood that although the terms first, second, third, etc. may be used in the embodiments of the present application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the embodiments of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "when" as used herein may be interpreted as "when" or "while" or "in response to determining".

[0031] Embodiments of the present application will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are intended to explain the present application, and should not be construed as limiting the present application.

[0032] The seepage state of a hydropower dam is one of the important indicators for evaluating the dam's safety. Seepage refers to the flow of water molecules from a high-pressure area to a low-pressure area, forming a water flow through the pores of soil or rock. In dam engineering, seepage is one of the important causes of engineering accidents. Therefore, monitoring and evaluating the seepage state of a hydropower dam is of great significance for ensuring the safe operation of the dam. To accurately obtain the seepage state of a hydropower dam, the seepage pressure can be monitored at the weak parts of the dam to reflect the seepage situation inside the dam; the seepage volume of the dam can also be measured to visually connect the seepage state of the dam; observation wells can be set around or inside the dam, and the seepage state of the dam can be judged by observing the water level changes in the observation wells; computer simulation software can also be used to simulate the seepage situation of the dam, establish a mathematical model, and analyze and compare various indicators in the model, so as to realize the monitoring of the seepage situation of the dam; the technology of soil probes can also be used to monitor the seepage situation in the soil around the dam; the seepage situation inside the dam can also be obtained by measuring the artificial water level of the dam and analyzing the changes in the dam water level.

[0033] The seepage state of a hydropower dam is a dynamically changing process, so continuous monitoring and evaluation are required. By regularly collecting and analyzing data, the changes in the seepage state of the dam can be understood in a timely manner, and preventive measures and emergency plans can be adjusted according to the actual situation.

[0034] The evaluation method and device for the seepage state of a hydropower dam according to an embodiment of the present application will be described below with reference to the accompanying drawings.

[0035] Figure 1 It is a schematic flowchart of an evaluation method for the seepage state of a hydropower dam provided by an embodiment of the present application.

[0036] As Figure 1 shown, the evaluation method for the seepage state of the hydropower dam includes but is not limited to the following steps:

[0037] S101, determine at least one seepage pressure test point of the hydropower dam, wherein the seepage pressure test point is obtained based on the weak parts of the hydropower dam.

[0038] In a feasible implementation, when determining the seepage pressure test points of a hydropower dam, it is necessary to comprehensively consider the dam's structural characteristics, geological conditions, historical seepage records, and potential weak parts. Geological exploration can be carried out to understand the geological structure, rock layer distribution, faults, and fissure development in the area where the hydropower dam is located. These geological factors directly affect the stability and seepage characteristics of the dam. The structural design of the dam can also be analyzed, including the dam type, dam height, dam body material, anti-seepage and drainage facilities, etc., to identify possible weak parts, such as dam body cracks, construction cold joints, and weak zones at the dam foundation. The historical seepage records of the dam can also be consulted to understand the past seepage conditions, especially seepage anomalies or leakage events. These records help to identify the weak parts of the hydropower dam.

[0039] In a feasible implementation, after identifying the weak parts of the dam, the following locations can be selected as seepage pressure test points: If there are cracks or construction cold joints in the dam, these parts are often the main channels of seepage. Therefore, seepage pressure test points should be set at such parts to monitor the change of seepage pressure in the cracks or cold joints. If there are weak zones at the dam foundation, such as fault zones, fissure development zones, or rock layers with strong water permeability, seepage is likely to occur at these parts. Therefore, seepage pressure test points should be set at such weak zones. The anti-seepage and drainage facilities are an important part of the dam, which are used to control and guide seepage. If the anti-seepage and drainage facilities fail or have defects, it may lead to abnormal seepage. Therefore, seepage pressure test points should be set around the anti-seepage and drainage facilities to monitor their working effects.

[0040] In a feasible implementation, after determining the seepage pressure test points, the seepage pressure test points can be grouped according to different monitoring positions and involved parts. For example, if the dam is an earth-rock dam, it can be grouped based on the peripheral joints of the panel, the dam foundation, the downstream of the dam, the abutment, etc. If the dam is a concrete dam or an arch dam, it can be grouped based on the transverse joints, longitudinal joints, and central angles of the arch ring.

[0041] S102, conduct a correlation analysis on the pressure data of the seepage pressure test points and the water level data of the hydropower dam to obtain the correlation coefficient between the seepage pressure test points and the water level change.

[0042] In a feasible implementation, conducting a correlation analysis on the pressure data of the seepage pressure test points and the water level data of the hydropower dam aims to explore whether there is a certain linear relationship between the two. Optionally, pressure data can be collected from the seepage pressure test points and water level data can be collected from the hydropower dam. Ensure that the timestamps of the two sets of data match for accurate analysis. Then, the pressure data and water level data can be cleaned to remove outliers or missing values, and the data can be standardized to eliminate the influence of dimension differences on the analysis results.

[0043] In a feasible implementation, the Pearson correlation coefficient formula can be used to obtain the correlation between the pressure data of the seepage pressure test points and the water level data of the hydropower dam. The Pearson correlation coefficient r formula is as follows:

[0044] r = Σ((xi - x_mean) * (yi - y_mean)) / sqrt([Σ(xi - x_mean) 2 * Σ(yi - y_mean) 2 )

[0045] Where xi and yi represent each observed value in the seepage pressure and water level data respectively; x_mean and y_mean represent the means of the seepage pressure and water level data respectively.

[0046] Furthermore, the value range of the Pearson correlation coefficient r is between -1 and 1. Among them, when r is close to 1, it indicates a strong positive correlation between the seepage pressure and the water level; when r is close to -1, it indicates a strong negative correlation between the seepage pressure and the water level; when r is close to 0, it indicates that there is almost no linear relationship between the seepage pressure and the water level.

[0047] Even further, if the Pearson correlation coefficient r is high (close to 1 or -1), it indicates that there is a significant linear relationship between the pressure data of the seepage pressure test points and the water level of the hydropower dam, meaning that the rise and fall of the dam water level have a significant impact on the seepage pressure, or vice versa. If the Pearson correlation coefficient r is low (close to 0), it indicates that the linear relationship between the two is not obvious, and it may be necessary to further explore other possible non-linear relationships or influencing factors.

[0048] In a feasible implementation, when interpreting the results of the correlation analysis, other factors that may affect the seepage pressure and the water level of the hydropower dam, such as geological conditions, rainfall conditions, dam operation strategies, etc., can also be considered. These factors may have complex effects on the relationship between the seepage pressure and the water level of the hydropower dam, so they should be fully considered when conducting the correlation analysis.

[0049] S103. Obtain the evaluation result of the seepage state of the hydropower dam according to the value of the correlation coefficient.

[0050] In a feasible implementation, when there is a high positive correlation coefficient between the pressure data at the seepage pressure test point and the water level data of the hydropower dam, it indicates that as the water level rises, the seepage pressure also increases accordingly. This may mean that the anti-seepage system of the dam (such as curtain grouting, drainage facilities, etc.) may be experiencing relatively high seepage pressure, and it is necessary to pay attention to its working condition and safety. If the correlation coefficient is low or negative, this may indicate that the direct linear relationship between the seepage pressure and the water level is not obvious, which may be caused by various factors, such as the geological conditions of the dam, the effectiveness of the anti-seepage facilities, rainfall, and fluctuations in the groundwater level. In this case, it is necessary to analyze the data more deeply to understand the seepage state.

[0051] In a feasible implementation, the seepage state of the dam can be comprehensively evaluated based on the value of the correlation coefficient and other relevant information (such as rainfall, geological conditions, etc.). If the correlation coefficient is high and the seepage pressure increases with the rising water level, the safety and stability of the dam's anti-seepage facilities should be concerned. If the correlation coefficient is low or negative, time series analysis can be further carried out on the seepage pressure and water level data to observe the changing trend and periodic law of the data over time; it is also possible to analyze the correlation between the seepage pressure and the water level in different time periods and different water level intervals to reveal possible non-linear relationships or lag effects.

[0052] In some embodiments, other factors that may affect the seepage pressure (such as rainfall, geological conditions, dam operation status, etc.) can also be incorporated into a multiple regression model to evaluate the influence degree of these factors on the seepage pressure. For example, first, clarify various factors that may affect the seepage pressure. In addition to the water level of the hydropower dam, rainfall, geological conditions, dam operation status, etc. are all important considerations. Among them, rainfall will affect the groundwater level and soil saturation, thereby affecting the seepage pressure; geological conditions such as rock layer distribution, fault and fracture development will also affect the anti-seepage performance and seepage pressure of the dam; the operation status of the dam, such as whether there are cracks, leaks, etc., will also directly affect the magnitude and distribution of the seepage pressure. Next, collect data related to these factors. For precipitation, historical rainfall records can be obtained through meteorological departments or hydrological stations; for geological conditions, geological exploration data of the area where the dam is located can be consulted; for the operation status of the dam, real-time data needs to be obtained through the dam's safety monitoring system.

[0053] After sufficient data is collected, a multiple regression model can be constructed. In this model, the seepage pressure will be used as the dependent variable, while rainfall, geological conditions (which can be represented by quantitative indicators such as rock formation permeability, fault density, etc.), dam operation status (which can be represented by leakage volume, number of cracks, etc.), etc. will be used as independent variables. After the model is constructed, the collected data needs to be used for fitting. During the fitting process, it may be necessary to adjust the parameters of the model, such as the selection of independent variables, the complexity of the model, etc., to improve the prediction accuracy and explanatory power of the model; at the same time, a significance test of the model also needs to be carried out to ensure that the independent variables in the model have a significant impact on the dependent variable. Finally, the results of the model need to be interpreted and applied. Through the multiple regression model, the influence degree of each independent variable on the seepage pressure can be evaluated, so as to more comprehensively understand the seepage state and its influencing factors. These results can be used to guide the safety monitoring and maintenance work of the dam, such as optimizing the monitoring plan, improving the anti-seepage facilities, adjusting the operation strategy, etc.

[0054] In summary, the method and device for evaluating the seepage state of a hydropower station dam provided by this application first determine the seepage pressure test points of the hydropower station dam, which can more directly monitor the changes in seepage pressure in these key areas; further combine the water level data of the hydropower station dam to perform a correlation analysis on the pressure data of the seepage pressure test points, obtain the correlation coefficient between the seepage pressure test points and the water level change, which can explain the internal relationship between the two, and timely warn of potential risks; according to the value of the correlation coefficient, the seepage state of the hydropower station dam can be quantitatively evaluated, providing a basis for a reasonable dam safety management strategy, and thus has wide applicability.

[0055] Figure 2 This is a schematic flow chart of another method for evaluating the seepage state of a hydropower station dam provided by an embodiment of this application.

[0056] As Figure 2 shown, the method for evaluating the seepage state of this hydropower station dam includes but is not limited to the following steps:

[0057] S201, identify the initial weak areas of the hydropower station dam according to the dam body structure, geological conditions and seepage control strategy of the hydropower station dam.

[0058] In a feasible implementation manner, if the hydropower station dam is a gravity dam, since the gravity dam mainly relies on its own weight to maintain stability, its weak areas may appear at the dam foundation, dam shoulders and the contact surface between the dam body and the foundation. These areas are easily affected by factors such as water pressure and foundation deformation, resulting in a decrease in the stability of the dam body; through means such as geological exploration and dam body deformation monitoring, the weak areas of the gravity dam can be identified, especially attention should be paid to whether there are unfavorable geological conditions such as soft interlayers and faults in the dam foundation, and whether there are potential risks such as landslides and collapses in the dam shoulders.

[0059] In a feasible implementation, if the hydropower dam is an arch dam, since the stability of the arch dam mainly relies on the reaction forces at the arch ends on both banks, its weak areas may appear at the arch ends, the crown of the arch, and the contact surface between the dam body and the bedrock. These areas are vulnerable to factors such as foundation deformation and temperature changes, which may lead to the redistribution of the arch dam's stress and pose potential safety hazards. Through means such as geological exploration and stress monitoring, the weak areas of the arch dam can be identified. In particular, attention should be paid to whether there are adverse geological conditions such as fissures and faults at the arch ends, and whether there are problems such as voids and leakage at the contact surface between the dam body and the bedrock.

[0060] In a feasible implementation, if the hydropower dam is an earth-rock dam, since the earth-rock dam is mainly filled with soil, stone materials, etc., its weak areas may appear inside the dam body, on the dam slope, and at the contact surface between the dam body and the foundation. These areas are vulnerable to factors such as seepage, earthquake, and wind waves, which may lead to the deformation and instability of the dam body. Through means such as geological exploration, seepage monitoring, and deformation monitoring, the weak areas of the earth-rock dam can be identified. In particular, attention should be paid to whether there are defects such as cavities and cracks inside the dam body, and whether there are potential risks such as landslides and collapses on the dam slope.

[0061] In a feasible implementation, the foundation conditions of the dam are one of the key factors affecting the dam's stability. Adverse geological conditions such as soft interlayers, faults, and karsts may lead to insufficient bearing capacity of the dam foundation, and further cause the instability of the dam body. Through means such as geological exploration, drilling, and geophysical prospecting, the geological conditions of the foundation can be understood and potential initial weak areas can be identified. The stability of the dam's bank slopes is also one of the important factors affecting the dam's safety. For example, bank slope instability phenomena such as landslides and collapses may impact and damage the dam. Through means such as geological exploration, remote sensing monitoring, and on-site investigation, the stability of the bank slopes can be evaluated and initial weak areas can be identified.

[0062] In a feasible implementation, the anti-seepage curtain of the dam is one of the important measures for dam anti-seepage. If there are defects or failures in the anti-seepage curtain, it will lead to an increase in the dam's seepage, and further affect the dam's stability. Through means such as seepage monitoring and core drilling, the integrity and effectiveness of the anti-seepage curtain can be checked and potential initial weak areas can be identified. The drainage system of the dam will also affect the dam's anti-seepage effect. If there are blockages or failures in the drainage system, it will lead to an increase in the water accumulation inside the dam, and further affect the dam's stability. Through means such as inspection, maintenance of the drainage system, and seepage monitoring, the operating status of the drainage system can be understood and potential initial weak areas can be identified.

[0063] S202, obtain at least one seepage pressure test point according to the initial weak area.

[0064] In a feasible implementation, first, obtain the historical seepage monitoring data of the hydropower station dam. This historical seepage monitoring data usually includes observation records in multiple aspects such as seepage pressure, seepage flow rate, reservoir water level, etc. Then, perform data cleaning and data standardization operations on the historical seepage monitoring data, and select a suitable seepage model according to factors such as the dam type, geological conditions, and seepage characteristics of the hydropower station dam. As an example, this seepage model can be a finite element model, a finite difference model, a boundary element model, etc. Next, establish a geometric model according to the actual size and shape of the dam, and divide the geometric model into small grid units for simulating and analyzing the historical seepage monitoring data. Then, set reasonable boundary conditions and initial conditions according to the historical seepage monitoring data, the seepage model of the dam, and the geometric model. The boundary conditions usually include water level boundaries, flow boundaries, etc.; the initial conditions include the initial seepage distribution inside the dam.

[0065] Furthermore, perform simulation analysis on the historical seepage monitoring data, the constructed seepage model of the dam, and the geometric model; during the analysis process, monitor the change of the initial seepage distribution in real time to ensure the accuracy and stability of the simulation results; after the simulation is completed, collect the seepage distribution area corresponding to the initial seepage distribution. Among them, in the seepage distribution area, key parameters such as seepage velocity, seepage pressure, and seepage flow rate are included.

[0066] In a feasible implementation, the historical seepage monitoring data can be preprocessed and statistically analyzed to obtain the change trend of the historical seepage monitoring data; then, according to the change trend, identify the seepage distribution area of the hydropower station dam. It should be noted that time series analysis methods such as the moving average method and the exponential smoothing method can be used to analyze the trend of the seepage monitoring data to identify the long-term change trend and seasonal fluctuations of the data; the correlation between the seepage monitoring data and other relevant factors (such as reservoir water level, rainfall, etc.) can also be analyzed to understand their mutual influence relationship. For example, methods such as scatter plots and correlation coefficient matrices can be used for visual display and quantitative analysis of the change trend. Then, based on the preprocessed seepage monitoring data and the statistical analysis results, use numerical simulation methods (such as the finite element method, the finite difference method, etc.) to simulate the seepage field of the hydropower station dam, and combine the simulation results of the seepage field and the change trend in the statistical analysis to identify the seepage distribution area of the hydropower station dam.

[0067] Furthermore, obtain the seepage pressure test points according to the comparison operation between the initial weak area and the seepage distribution area. It should be noted that the initial weak area can be compared with the seepage distribution area to find the areas where the two overlap or are close. These areas are often the places with the highest leakage risk; then, according to the overlapping or close areas, determine the seepage pressure test points.

[0068] For a further specific introduction to step S202, reference can be made to the relevant content recorded in the above embodiments, which will not be elaborated here.

[0069] S203. Perform a correlation analysis on the pressure data of the seepage pressure test points and the water level data of the hydropower station dam to obtain the correlation coefficient between the seepage pressure test points and the water level change.

[0070] In a feasible implementation manner, a Pearson correlation analysis can be performed on the pressure data of the seepage pressure test points and the water level data of the hydropower station dam according to a preset sampling period to obtain the correlation coefficient between the seepage pressure test points and the water level change. As an example, the sampling period can be set to 1 year, 3 years, etc. To improve the accuracy of the correlation coefficient, the single-day data during the stable operation period of the dam and within the sampling period can be selected for statistics. For the single-day data, the water level data in front of the dam and the average pressure data of the seepage pressure test points are selected every day.

[0071] For a further specific introduction to step S203, reference can be made to the relevant content recorded in the above embodiments, which will not be elaborated here.

[0072] S204. Obtain the evaluation result of the seepage state of the hydropower station dam according to the value of the correlation coefficient.

[0073] In a feasible implementation manner, the division criteria for positive correlation, negative correlation, and weak correlation can be determined according to the value of the correlation coefficient. As an example, the correlation coefficient > 0.3 can be used as the division criterion for positive correlation; the correlation coefficient < -0.3 can be used as the division criterion for negative correlation; and -0.3 ≤ correlation coefficient ≤ 0.3 can be used as the division criterion for weak correlation.

[0074] Further, according to the division criteria, the warning threshold of the seepage state and the target seepage pressure test points belonging to positive correlation, negative correlation, and weak correlation are determined from each seepage pressure test point. As an example, the target seepage pressure test points with weak correlation can be characterized as the warning threshold of the seepage state. Specifically, the upper and lower limits of the seepage pressure and the upper and lower limits of the water level corresponding to the target seepage pressure test points that meet the weak correlation can be used as the warning threshold.

[0075] Further, substitute each target seepage pressure test point into a preset seepage monitoring model to obtain the predicted seepage pressure data. It should be noted that this seepage monitoring model can be an expression based on the positions of the seepage pressure test points and the water level data during the stable operation period of the dam and within the sampling period, where the dependent variable of this expression is the pressure of the target seepage pressure test point, and the independent variables are the positions of the seepage pressure test points and the water level data.

[0076] Further, based on the warning threshold and the predicted seepage pressure data, an evaluation result of the seepage state of the hydropower station dam is obtained. It should be noted that if the predicted seepage pressure data is less than the first critical parameter and the change rate of the predicted seepage pressure data is less than the preset second critical parameter, the seepage state of the hydropower station dam is determined to be in a normal state, where the first critical parameter is obtained by multiplying the warning threshold by a preset proportionality coefficient. As an example, the preset proportionality coefficient can be 0.2;

[0077] If the predicted seepage pressure data is less than the first critical parameter and the change rate of the predicted seepage pressure data is greater than the second critical parameter, the seepage state of the hydropower station dam is determined to be in a warning state. Among them, since the change rate of the predicted seepage pressure data increases, it may change the correlation coefficient of the target seepage pressure test point, thereby causing a change in the correlation between the pressure data of the target seepage pressure test point and the water level data of the hydropower station dam. For example, a weak correlation changes to a positive or negative correlation.

[0078] If the predicted seepage pressure data is greater than the warning threshold, the seepage state of the hydropower station dam is determined to be in a dangerous state.

[0079] For a further specific introduction to step S204, reference can be made to the relevant content recorded in the above embodiments, which will not be elaborated here.

[0080] In summary, the evaluation method and device for the seepage state of the hydropower station dam provided by the present application first determine the seepage pressure test points of the hydropower station dam, which can more directly monitor the change of seepage pressure in these key areas; further combine the water level data of the hydropower station dam to perform a correlation analysis on the pressure data of the seepage pressure test points, obtain the correlation coefficient between the seepage pressure test points and the water level change, which can explain the internal connection between the two, and timely warn of potential risks; according to the value of the correlation coefficient, the seepage state of the hydropower station dam can be quantitatively evaluated, providing a basis for a reasonable dam safety management strategy, and thus having wide applicability.

[0081] Figure 3 This is a schematic structural diagram of an evaluation device for the seepage state of a hydropower station dam provided by an embodiment of the present application. As Figure 3 shown, the evaluation device 300 for the seepage state of the hydropower station dam includes:

[0082] A first acquisition module 301, which is used to determine at least one seepage pressure test point of the hydropower station dam, where the seepage pressure test point is obtained based on the weak part of the hydropower station dam;

[0083] The second acquisition module 302 is configured to perform a correlation analysis on the pressure data of the seepage pressure test points and the water level data of the hydropower dam to obtain the correlation coefficient between the seepage pressure test points and the water level change;

[0084] The judgment module 303 is configured to obtain the evaluation result of the seepage state of the hydropower dam according to the value of the correlation coefficient.

[0085] Figure 4 FIG. is a schematic structural diagram of an electronic device according to an embodiment of the present application. Figure 4 The illustrated electronic device is merely an example and should not impose any limitation on the functions and usage scope of the embodiments of the present application.

[0086] As Figure 4 shown, the electronic device 400 includes a processor 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM, Read Only Memory) 402 or a program loaded from a memory 406 into a random access memory (RAM, Random Access Memory) 403. In the RAM 403, various programs and data required for the operation of the electronic device 400 are also stored. The processor 401, the ROM 402, and the RAM 403 are connected to each other through a bus 404. An input / output (I / O, Input / Output) interface 405 is also connected to the bus 404.

[0087] The following components are connected to the I / O interface 405: a memory 406 including a hard disk, etc.; and a communication part 407 including a network interface card such as a LAN (Local Area Network) card, a modem, etc., and the communication part 407 performs communication processing via a network such as the Internet; a driver 408 is also connected to the I / O interface 405 as needed.

[0088] Specifically, according to the embodiments of the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments of the present application include a computer program carried on a computer-readable medium, and the computer program includes program codes for performing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 407. When the computer program is executed by the processor 401, the above-mentioned functions defined in the method of the present application are executed.

[0089] In an exemplary embodiment, a storage medium including instructions is also provided, such as a memory including instructions, and the above instructions can be executed by the processor 401 of the electronic device 400 to complete the above method. Optionally, the storage medium may be a non-transitory computer-readable storage medium. For example, the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0090] In the present application, a computer-readable storage medium may be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which computer-readable program code is carried. Such a propagated data signal may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, and this computer-readable medium can send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The program code contained on a computer-readable medium can be transmitted by any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0091] In a feasible implementation manner, the evaluation method for the seepage state of the hydropower station dam in this embodiment can be implemented as a program of a mobile terminal, and this program can be implemented in an APP. Staff can obtain the evaluation result of the seepage state of the hydropower station dam through this APP and make timely response and handling.

[0092] Those skilled in the art will readily think of other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present invention, and these variations, uses, or adaptations follow the general principles of the present invention and include common general knowledge or conventional technical means in the technical field not disclosed in this application. The specification and embodiments are only regarded as exemplary, and the true scope and spirit of this application are pointed out by the following claims.

[0093] It should be understood that this application is not limited to the exact structure already described and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is only limited by the appended claims.

Claims

1. A method for evaluating the seepage state of a hydropower station dam, characterized in that: include: Determine at least one penetration pressure test point of the hydropower station dam, wherein the penetration pressure test point is obtained based on a weak part of the hydropower station dam; Performing correlation analysis on the pressure data of the penetration pressure test point and the water level data of the hydropower station dam to obtain the correlation coefficient between the penetration pressure test point and the water level change; According to the value of the correlation coefficient, the seepage state assessment result of the hydropower station dam is obtained.

2. The method according to claim 1, characterized in that Determining at least one seepage pressure test point of the hydropower station dam comprises: Identify the initial weak areas of the hydropower station dam based on its dam structure, geological conditions and seepage control strategy; Obtain historical seepage monitoring data for hydropower station dams; Performing simulation analysis on the historical seepage monitoring data to obtain the seepage distribution area of ​​the hydropower station dam; The penetration pressure test point is obtained according to a comparison operation between the initial weak area and the seepage distribution area.

3. The method according to claim 2, characterized in that The simulation analysis of the historical seepage monitoring data to obtain the seepage distribution area of ​​the hydropower station dam includes: Preprocessing and statistically analyzing the historical seepage monitoring data to obtain a change trend of the historical seepage monitoring data; According to the variation trend, the seepage distribution area of ​​the hydropower station dam is identified.

4. The method according to claim 2, characterized in that: The step of obtaining the penetration pressure test point according to the comparison operation between the initial weak area and the seepage distribution area includes: Obtaining an overlapping area between the initial weak area and the seepage distribution area; The penetration pressure test point is determined according to the overlapping area.

5. The method according to claim 1, characterized in that The performing of correlation analysis on the pressure data of the penetration pressure test point and the water level data of the hydropower station dam to obtain the correlation coefficient between the penetration pressure test point and the water level change includes: According to a preset sampling period, a Pearson correlation analysis is performed on the pressure data of the seepage pressure test point and the water level data of the hydropower station dam to obtain a correlation coefficient between the seepage pressure test point and the water level change.

6. The method according to any one of claims 1 to 5, characterized in that The step of obtaining the seepage state assessment result of the hydropower station dam according to the value of the correlation coefficient includes: According to the value of the correlation coefficient, the classification criteria of positive correlation, negative correlation and weak correlation are determined; According to the classification standard, from each permeability pressure test point, the warning threshold of the seepage state and the target permeability pressure test points belonging to positive correlation, negative correlation and weak correlation are determined; Substituting each of the target seepage pressure test points into a pre-set seepage monitoring model to obtain predicted seepage pressure data; According to the early warning threshold and the predicted seepage pressure data, a seepage state assessment result of the hydropower station dam is obtained.

7. The method according to claim 6, characterized in that The step of obtaining the seepage state assessment result of the hydropower station dam according to the early warning threshold and the predicted seepage pressure data includes: If the predicted seepage pressure data is less than a first critical parameter, and the change rate of the predicted seepage pressure data is less than a preset second critical parameter, it is determined that the seepage state of the hydropower station dam is normal, wherein the first critical parameter is obtained by multiplying the warning threshold and a preset proportional coefficient; If the predicted seepage pressure data is less than the first critical parameter, and the change rate of the predicted seepage pressure data is greater than the second critical parameter, it is determined that the seepage state of the hydropower station dam is in a warning state; If the predicted seepage pressure data is greater than the warning threshold, it is determined that the seepage state of the hydropower station dam is in a dangerous state.

8. A device for evaluating the seepage state of a hydropower station dam, characterized in that: include: A first acquisition module, the first acquisition module is used to determine at least one penetration pressure test point of the hydropower station dam, wherein the penetration pressure test point is obtained based on a weak part of the hydropower station dam; A second acquisition module, the second acquisition module is used to perform a correlation analysis on the pressure data of the penetration pressure test point and the water level data of the hydropower station dam, and obtain a correlation coefficient between the penetration pressure test point and the water level change; A judgment module is used to obtain a seepage state assessment result of a hydropower station dam according to the value of the correlation coefficient.

9. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 7 when being executed by a processor.

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