A dam engineering slope steady-state detection method and device

By conducting zoned testing of the dam slope, collecting and analyzing stability, safety, and deformation parameters, and calculating a comprehensive testing coefficient, the problem of incomplete testing in existing technologies has been solved, enabling a comprehensive safety assessment of the dam slope.

CN119294805BActive Publication Date: 2025-10-21STATE GRID FUJIAN ELECTRIC POWER CO LTD +1
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Patent Information

Application Number
CN202411322120.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-23
Publication Date
2025-10-21
Estimated Expiration
2044-09-23

AI Technical Summary

Technical Problem

Current technologies for slope stability monitoring in dam engineering mainly focus on surface and depth displacement, which cannot comprehensively detect potential safety hazards.

Method used

By dividing the dam slope area into equally spaced detection sub-regions, slope stability, safety, and deformation parameters are collected. Stability, safety, and deformation data analysis models are used to calculate the construction stability, safety, and deformation coefficients, and weight calculations are performed to obtain a comprehensive detection coefficient. Parameter acquisition is then performed using artificial intelligence machine vision technology.

Benefits of technology

This enabled comprehensive inspection of the dam slope, accurately identifying potential safety hazards and avoiding safety issues caused by incomplete inspections, thus providing recommendations for the steady-state management of the dam slope project.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of dam engineering side slope steady detection method and device, comprising: target dam side slope region is equally spaced into at least one detection sub-region;Parameter acquisition is carried out to each sub-region, and side slope stability parameter, side slope safety parameter and side slope deformation parameter are obtained;Through stability data analysis model, combined with side slope stability parameter, construction stable coefficient is obtained by calculation, through safety data analysis model, combined with side slope safety parameter, construction safety coefficient is obtained by calculation, through side slope deformation data analysis model, combined with side slope deformation parameter, side slope deformation coefficient is obtained by calculation;Construction stable coefficient, construction safety coefficient and side slope deformation coefficient are carried out weight calculation, and comprehensive detection coefficient is obtained;Whether target dam side slope region exists safety hidden danger is judged by comprehensive detection coefficient, avoids the safety problem caused by not comprehensive detection, provides suggestion for dam side slope engineering steady.
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Description

Technical Field

[0001] The present invention relates to the technical field of landslide natural disaster prevention and control, in particular to a method and device for detecting the steady state of a dam engineering slope. Background Art

[0002] With the increasing number of water conservancy project construction projects, people are paying more and more attention to water conservancy project construction. Dam slopes, as indispensable structures in water conservancy project construction, have attracted widespread attention. Typically, after the completion of dam slope construction, steady-state testing is required. By analyzing its steady-state, existing defects can be identified in a timely manner, which not only reduces the occurrence of safety issues but also prevents potential problems and allows for preemptive measures.

[0003] However, current slope stability testing for dam projects mostly focuses on surface and depth displacement. If these displacements are not significant, it indicates good slope stability and no safety hazards. However, this approach still has some shortcomings in practical application. Focusing on surface and depth displacements is a relatively limited approach and cannot effectively detect existing safety hazards. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method and device for detecting the stability of a dam engineering slope, thereby achieving comprehensive detection of the stability of the dam engineering slope and avoiding safety problems caused by incomplete detection.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] A method for detecting the stability of a dam slope comprises:

[0007] Divide the target dam slope area into at least one detection sub-area at equal intervals;

[0008] Collecting parameters for each of the sub-areas to obtain slope stability parameters, slope safety parameters, and slope deformation parameters;

[0009] The construction stability coefficient is calculated by combining the stability data analysis model with the slope stability parameters, the construction safety factor is calculated by combining the safety data analysis model with the slope safety parameters, and the slope deformation coefficient is calculated by combining the slope deformation data analysis model with the slope deformation parameters;

[0010] The construction stability coefficient, construction safety factor and slope deformation coefficient are weighted to obtain a comprehensive detection coefficient;

[0011] The comprehensive detection coefficient is used to determine whether there are safety hazards in the target dam slope area.

[0012] In order to solve the above technical problems, another technical solution adopted by the present invention is:

[0013] A device for detecting the stability of a dam engineering slope comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step of the above-mentioned method for detecting the stability of a dam engineering slope is implemented.

[0014] The beneficial effects of the present invention are as follows: by performing zoning detection on the target dam slope area and collecting parameters for each sub-area respectively, the stability, safety and deformation degree of the corresponding area are analyzed based on the obtained slope stability parameters, slope safety parameters and slope deformation parameters, and a comprehensive analysis is performed on the construction stability coefficient, construction safety factor and slope deformation coefficient obtained by the analysis to obtain a comprehensive detection coefficient, so that based on the comprehensive detection coefficient, it is possible to accurately judge whether there are safety hazards in the target dam slope area, avoid safety problems caused by incomplete detection, and provide suggestions for the steady state of the dam slope engineering. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a flowchart of the steps of a method for detecting the stability of a dam engineering slope in an embodiment of the present invention;

[0016] Figure 2 Schematic diagram of the structure of a dam engineering slope stability detection device in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] To illustrate the technical content, achieved objectives and effects of the present invention in detail, the following description is given in conjunction with the embodiments and accompanying drawings.

[0018] Existing technologies focus on detecting surface and depth displacement of slopes, a relatively limited approach. However, large areas of dam slopes are submerged in water for extended periods, subject to the influence of multiple factors, including flow velocity, seepage volume, and foundation bearing capacity. This can lead not only to slope displacement but also to cracks. Therefore, comprehensive testing of dam slopes is essential to provide comprehensive results.

[0019] Please refer to Figure 1 , a dam engineering slope stability detection method, comprising:

[0020] Divide the target dam slope area into at least one detection sub-area at equal intervals;

[0021] Collecting parameters for each of the sub-areas to obtain slope stability parameters, slope safety parameters, and slope deformation parameters;

[0022] The construction stability coefficient is calculated by combining the stability data analysis model with the slope stability parameters, the construction safety factor is calculated by combining the safety data analysis model with the slope safety parameters, and the slope deformation coefficient is calculated by combining the slope deformation data analysis model with the slope deformation parameters;

[0023] The construction stability coefficient, construction safety factor and slope deformation coefficient are weighted to obtain a comprehensive detection coefficient;

[0024] The comprehensive detection coefficient is used to determine whether there are safety hazards in the target dam slope area.

[0025] From the above description, it can be seen that the beneficial effects of the present invention are: by partitioning the target dam slope area for detection and collecting parameters for each sub-area respectively, the stability, safety and deformation degree of the corresponding area are analyzed based on the obtained slope stability parameters, slope safety parameters and slope deformation parameters, and the construction stability coefficient, construction safety factor and slope deformation coefficient obtained by analysis are comprehensively analyzed to obtain a comprehensive detection coefficient, so that based on the comprehensive detection coefficient, it is possible to accurately judge whether there are safety hazards in the target dam slope area, avoid safety problems caused by incomplete detection, and provide suggestions for the steady state of dam slope engineering.

[0026] Furthermore, the slope stability parameters include slope surface displacement and slope depth displacement, soil foundation bearing capacity, soil bearing capacity, precipitation per unit time and groundwater level;

[0027] The collecting parameters of each sub-area includes:

[0028] Acquire an image of each of the sub-areas through machine vision, and calculate the slope surface displacement and slope depth displacement based on the image;

[0029] The soil bearing capacity, precipitation per unit time and groundwater level are obtained by acquiring environmental data.

[0030] From the above description, it can be seen that by using artificial intelligence machine vision technology to capture images of each detection sub-area of ​​the dam slope in real time and using image processing algorithms to process the captured images, the displacement status of each detection sub-area of ​​the target dam slope can be accurately calculated.

[0031] Furthermore, the construction stability coefficient calculated by combining the stability data analysis model with the slope stability parameter includes:

[0032] A displacement change index is calculated based on the slope surface displacement and the slope depth displacement;

[0033] Calculate the bearing stability index based on the soil foundation bearing capacity and the soil bearing capacity;

[0034] Calculating a precipitation fluctuation index based on the precipitation per unit time;

[0035] Calculating a groundwater level fluctuation index according to the groundwater level;

[0036] The construction stability coefficient is calculated based on the displacement change index, the bearing stability index, the precipitation fluctuation index and the groundwater level fluctuation index.

[0037] From the above description, it can be seen that based on the slope surface displacement and slope depth displacement, soil foundation bearing capacity, soil bearing capacity, precipitation per unit time and groundwater level, the displacement change index, bearing stability index, precipitation fluctuation index and groundwater level fluctuation index are calculated respectively, and then a comprehensive evaluation is performed to obtain the construction stability coefficient, which can accurately evaluate the stability of the dam project slope.

[0038] Furthermore, the displacement change index calculated based on the slope surface displacement and the slope depth displacement includes:

[0039]

[0040] The bearing stability index calculated based on the soil foundation bearing capacity and the soil bearing capacity includes:

[0041]

[0042] The precipitation fluctuation index calculated according to the precipitation per unit time includes:

[0043]

[0044] The groundwater level fluctuation index calculated according to the groundwater level includes:

[0045]

[0046] The construction stability coefficient calculated based on the displacement change index, bearing stability index, precipitation fluctuation index and groundwater level fluctuation index includes:

[0047]

[0048] Among them, ζ represents the construction stability coefficient; δ i1 represents the displacement change index corresponding to the i-th sub-region, represents the average displacement of the slope surface, represents the average value of the slope depth displacement; δ2 represents the bearing stability index corresponding to the i-th sub-region, F represents the soil foundation bearing capacity, f i represents the soil bearing capacity corresponding to the i-th sub-region; δ3 represents the precipitation fluctuation index corresponding to the i-th sub-region, Δt represents the unit time, p i represents the precipitation per unit time in the ith sub-region; δ4 represents the groundwater level fluctuation index corresponding to the ith sub-region, λ represents the influencing factor affecting the groundwater level fluctuation, q i represents the groundwater level of the ith sub-region.

[0049] From the above description, it can be seen that by constructing a stability data analysis model based on the above formula and combining the slope surface displacement and slope depth displacement, soil foundation bearing capacity, soil bearing capacity, precipitation per unit time, and groundwater level to evaluate the construction stability of the dam project slope, an accurate construction stability coefficient can be obtained.

[0050] Furthermore, the slope safety parameters include seepage rate per unit time, foundation thickness, reservoir capacity and total drainage volume;

[0051] The construction safety factor calculated by combining the safety data analysis model with the slope safety parameter includes:

[0052] The slope seepage index is calculated based on the seepage volume per unit time, foundation thickness, and reservoir capacity;

[0053] Calculating a drainage index based on the total drainage volume;

[0054] The construction safety factor is calculated based on the slope seepage index and drainage index.

[0055] From the above description, it can be seen that after calculating the slope seepage index and drainage index respectively by the seepage rate per unit time, foundation thickness, reservoir capacity and total drainage volume, a comprehensive evaluation calculation is performed to obtain the construction safety factor, which can accurately evaluate the safety of the dam project slope.

[0056] Furthermore, the slope seepage index calculated according to the seepage volume per unit time, foundation thickness, and reservoir capacity includes:

[0057]

[0058] The drainage index calculated based on the total drainage volume includes:

[0059]

[0060] The construction safety factor calculated based on the slope seepage index and drainage index includes:

[0061]

[0062] Where σ represents the construction safety factor; represents the slope seepage index of the i-th sub-region, M i represents the seepage rate per unit time in the i-th sub-area, C represents the reservoir capacity, t represents the foundation thickness, l imax ,l imin Indicates the maximum / minimum value of the reservoir water level; φ2 indicates the drainage index, o 实 represents the actual displacement per unit time obtained by measurement, and o represents the theoretical displacement per unit time.

[0063] From the above description, it can be seen that by constructing a safety data analysis model based on the above formula and combining slope safety parameters such as seepage per unit time, foundation thickness, reservoir capacity, and total drainage volume to evaluate the construction safety of the dam project slope, an accurate construction safety factor can be obtained.

[0064] Furthermore, the slope deformation parameters include slope gradient, slope width, slope depth and water flow velocity;

[0065] The slope deformation coefficient obtained by calculating the slope deformation data analysis model in combination with the slope deformation parameters includes:

[0066] The slope deformation coefficient is calculated based on the slope gradient, slope width, slope depth and water flow velocity.

[0067] From the above description, it can be seen that by analyzing the deformation of the dam project slope based on the slope gradient, slope width, slope depth and water flow velocity, the deformation degree of the dam project slope can be accurately assessed.

[0068] Furthermore, the slope deformation coefficient is calculated based on the slope gradient, slope width, slope depth and water flow velocity, including:

[0069]

[0070] Where η represents the slope deformation coefficient, d represents the slope width, h represents the slope depth, θ represents the slope gradient, V i represents the water flow velocity of the i-th sub-area per unit time.

[0071] From the above description, it can be seen that by using the above slope deformation data analysis model combined with the slope gradient, slope width, slope depth and water flow velocity to evaluate the deformation of the dam project slope, an accurate slope deformation coefficient can be obtained.

[0072] Furthermore, the construction stability coefficient, construction safety factor and slope deformation coefficient are weighted to obtain a comprehensive detection coefficient including:

[0073]

[0074] Among them, ζ, σ and η represent the construction stability coefficient, construction safety factor and slope deformation coefficient respectively, and a, b and c are the corresponding weight coefficients.

[0075] From the above description, it can be seen that by setting different weight coefficients for the construction stability coefficient, construction safety factor and slope deformation coefficient respectively, and comprehensively calculating the comprehensive detection coefficient, it is possible to reflect the influence of different index coefficients on the comprehensive performance of the dam and improve the accuracy of the comprehensive detection of the dam.

[0076] Another embodiment of the present invention provides a device for detecting the stability of a dam engineering slope, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step of the above-mentioned method for detecting the stability of a dam engineering slope is implemented.

[0077] The dam engineering slope stability detection method and device provided by the present invention can be applied to dam safety detection, and are described below through specific implementation methods:

[0078] Example 1

[0079] Please refer to Figure 1 , a dam engineering slope stability detection method, comprising:

[0080] S1. Divide the target dam slope area into at least one detection sub-area at equal intervals; at the same time, mark each sub-area in the target slope area as 1, 2, ..., i, ..., n in sequence.

[0081] S2. Parameters are collected for each sub-region to obtain slope stability parameters, slope safety parameters, and slope deformation parameters. Corresponding marks are also set on the parameters corresponding to each sub-region to distinguish the parameters of different sub-regions. Specifically:

[0082] 1) Slope stability parameters:

[0083] Slope stability parameters include slope surface displacement and slope depth displacement, soil foundation bearing capacity, soil bearing capacity, precipitation per unit time, and groundwater level. In this embodiment, the image of each detection sub-area of ​​the dam slope is captured in real time through artificial intelligence machine vision technology, and the captured image is processed using an image processing algorithm to accurately calculate the displacement status of each detection sub-area of ​​the target dam slope. For example, a calibration marker is set in the dam slope area, and the motion trajectory of the corresponding marker is identified through image processing technology, thereby obtaining the motion trajectory of the landslide body. Among them, the slope surface displacement is recorded as s i ', the slope depth displacement is recorded as s i "; Use machine vision technology to obtain underwater soil images corresponding to the target underwater area, extract soil characteristics from them, and compare and match them with various soil types to obtain the soil types corresponding to each detection sub-area of ​​the target dam slope. Then, query the preset soil bearing capacity table to obtain the soil foundation bearing capacity corresponding to the target dam slope monitoring sub-area, record it as F, and test the soil bearing capacity, record it as f i , i represents each detection sub-area of ​​the target dam slope; the precipitation per unit time in the target sub-area is recorded as p i ; The groundwater level in the target sub-area is denoted as q i .

[0084] 2) Slope safety parameters:

[0085] Slope safety parameters include seepage rate per unit time, foundation thickness, reservoir capacity, and total drainage volume. By using artificial intelligence machine vision image vision technology, a water measuring weir is set up on the seepage channel to directly measure the water level and flow through the weir slot. The seepage rate per unit time of each detection sub-area of ​​the target dam slope is obtained and recorded as M. i The depth of the reservoir is measured using an echo sounder, and the water surface area is obtained through machine vision technology. The reservoir capacity is then obtained by combining the water surface area and the echo sounder measurement results, which is recorded as C. A flow meter is installed at the reservoir outlet to measure the flow rate and volume of the water in real time and automatically record the data. By recording the discharge volume in real time, the total discharge volume per unit time is obtained, which is recorded as o 实 ; Using an ultrasonic probe and measuring the propagation time of sound waves in the slope foundation, combined with the propagation speed of sound waves in rock and soil, the thickness of the foundation is obtained and recorded as t.

[0086] 3) Slope deformation parameters:

[0087] Slope deformation parameters include slope gradient, slope width, slope depth, and water flow velocity. Machine vision technology is used to obtain images of the slope area to form point cloud data of the slope. Based on gridding, the point cloud data is downsampled and denoised to obtain de-noised point cloud data. By integrating the data and performing computer calculations, the slope gradient can be quickly obtained, recorded as θ. Similarly, the width d and depth h of the slope crack can be obtained. By placing a flow meter in the monitoring sub-area, the water flow velocity per unit time in the monitoring sub-area can be obtained, recorded as V. i .

[0088] S3. The construction stability coefficient is calculated by combining the stability data analysis model with the slope stability parameters. The construction safety factor is calculated by combining the safety data analysis model with the slope safety parameters. The slope deformation coefficient is calculated by combining the slope deformation data analysis model with the slope deformation parameters. Specifically:

[0089] S31. The construction stability coefficient calculated by combining the stability data analysis model with the slope stability parameters includes:

[0090] S311. Calculate the displacement change index based on the slope surface displacement and slope depth displacement:

[0091]

[0092] S312. Calculate the bearing stability index based on the soil foundation bearing capacity and soil bearing capacity:

[0093]

[0094] S313. Calculate the precipitation fluctuation index based on the precipitation per unit time:

[0095]

[0096] S314. Calculate the groundwater level fluctuation index based on the groundwater level:

[0097]

[0098] S315. The construction stability coefficient is calculated based on the displacement change index, bearing stability index, precipitation fluctuation index, and groundwater level fluctuation index:

[0099]

[0100] Among them, δ i1 represents the displacement change index corresponding to the i-th sub-region, represents the average displacement of the slope surface, represents the average value of the slope depth displacement; δ2 represents the bearing stability index corresponding to the i-th sub-region, F represents the soil foundation bearing capacity, f i represents the soil bearing capacity corresponding to the i-th sub-region; δ3 represents the precipitation fluctuation index corresponding to the i-th sub-region, Δt represents the unit time, p i represents the precipitation per unit time in the ith sub-region; δ4 represents the groundwater level fluctuation index corresponding to the ith sub-region, λ represents the influencing factor affecting the groundwater level fluctuation (for example, the value of λ is adjusted according to the water density and the irrigation activities of nearby farmland), q i represents the groundwater level in the i-th subregion. When the groundwater level rises, the slope shear strength decreases, which can easily lead to slope instability. Conversely, when the groundwater level drops, the slope shear strength increases, which is conducive to slope stability. ζ represents the construction stability coefficient. A larger soil foundation bearing index and smaller displacement variation index, precipitation fluctuation index, and groundwater level fluctuation index indicate a greater construction stability coefficient, indicating better dam slope stability.

[0101] S32. The construction safety factor calculated by combining the safety data analysis model with the slope safety parameters includes:

[0102] S321. Calculate the slope seepage index based on the seepage rate per unit time, foundation thickness, and reservoir capacity:

[0103]

[0104] S322. Calculate the drainage index based on the total drainage volume:

[0105]

[0106] S323. Calculate the construction safety factor based on the slope seepage index and drainage index:

[0107]

[0108] in, represents the slope seepage index of the i-th sub-region, M i represents the seepage rate per unit time in the i-th sub-area, C represents the reservoir capacity, t represents the foundation thickness, l imax ,l imin Indicates the maximum / minimum value of the reservoir water level. The difference between the maximum and minimum values ​​of the reservoir water level is the hydraulic head. The larger the difference between the two, the greater the seepage per unit time and the greater the slope seepage index; φ2 represents the drainage index, o 实 represents the measured actual drainage per unit time, and o represents the theoretical drainage per unit time. σ represents the construction safety factor. The smaller the slope seepage index and the larger the reservoir drainage index, the larger the resulting construction safety factor and the safer the dam slope.

[0109] S33. The slope deformation coefficient is calculated by combining the slope deformation parameters with the slope deformation data analysis model, including:

[0110] S331. Calculate the slope deformation coefficient based on the slope gradient, slope width, slope depth, and water flow velocity:

[0111]

[0112] Where d represents the width of the slope, h represents the depth of the slope, θ represents the slope gradient, V i The product of the slope width and the slope depth represents the area of ​​the slope crack. i The sum and average of represents the average water flow velocity of the dam slope in the target area; η represents the slope deformation coefficient. The larger the crack area and the greater the average water flow velocity, the larger the slope deformation index is, indicating that the slope is more likely to deform.

[0113] S4. Weighted calculation is performed on the construction stability coefficient, construction safety factor and slope deformation coefficient to obtain the comprehensive detection coefficient. Specifically:

[0114]

[0115] Among them, ζ, σ, and η represent the construction stability coefficient, construction safety factor, and slope deformation coefficient, respectively, and a, b, and c are the corresponding weight coefficients. The weight coefficients are adjusted according to the actual situation of the dam, such as human factors such as excavation and filling activities that cause instability of the dam slope.

[0116] S5. Use the comprehensive detection coefficient to determine whether there are safety hazards in the target dam slope area.

[0117] Example 2

[0118] Please refer to Figure 2 A device for detecting the stability of a dam engineering slope includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step of a method for detecting the stability of a dam engineering slope as described in Example 1 is implemented.

[0119] In summary, the dam engineering slope stability detection and device provided by the present invention analyzes the construction stability dimension, construction safety dimension and slope deformation dimension of the dam engineering slope stability detection, thereby obtaining the construction stability coefficient, construction safety coefficient and deformation degree coefficient of the dam slope, and combining the corresponding coefficients to obtain a comprehensive detection coefficient, thereby avoiding safety problems caused by incomplete detection, having great social and economic benefits, and providing suggestions for the stability of the dam slope engineering. At the same time, the construction quality requirements of the hydropower station dam slope are very high during construction and maintenance. Therefore, it is necessary to have an in-depth understanding of the on-site environment. The present invention rationally uses artificial intelligence machine vision technology to obtain the situation of the dam slope in real time, and processes and analyzes the obtained images to ensure the comprehensive implementation of construction and maintenance measures, thereby achieving good economic and social benefits in the dam project and promoting the sustainable construction of the dam project.

[0120] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's description and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for detecting the stability of a dam slope, characterized in that: include: Divide the target dam slope area into at least one detection sub-area at equal intervals; Collecting parameters for each of the sub-areas to obtain slope stability parameters, slope safety parameters, and slope deformation parameters; The construction stability coefficient is calculated by combining the stability data analysis model with the slope stability parameters, the construction safety factor is calculated by combining the safety data analysis model with the slope safety parameters, and the slope deformation coefficient is calculated by combining the slope deformation data analysis model with the slope deformation parameters; The construction stability coefficient, construction safety factor and slope deformation coefficient are weighted to obtain a comprehensive detection coefficient; Determine whether there is a safety hazard in the target dam slope area by using the comprehensive detection coefficient; The slope stability parameters include slope surface displacement and slope depth displacement, soil foundation bearing capacity, soil bearing capacity, precipitation per unit time and groundwater level; The collecting parameters of each sub-area includes: Acquire an image of each of the sub-areas through machine vision, and calculate the slope surface displacement and slope depth displacement based on the image; Obtaining the soil bearing capacity, precipitation per unit time, and groundwater level by acquiring environmental data; The construction stability coefficient calculated by combining the stability data analysis model with the slope stability parameters includes: A displacement change index is calculated based on the slope surface displacement and the slope depth displacement; Calculate the bearing stability index based on the soil foundation bearing capacity and the soil bearing capacity; Calculating a precipitation fluctuation index based on the precipitation per unit time; Calculating a groundwater level fluctuation index according to the groundwater level; The construction stability coefficient is calculated based on the displacement change index, the bearing stability index, the precipitation fluctuation index and the groundwater level fluctuation index; The slope safety parameters include seepage rate per unit time, foundation thickness, reservoir capacity and total drainage volume; The construction safety factor calculated by combining the safety data analysis model with the slope safety parameter includes: The slope seepage index is calculated based on the seepage volume per unit time, foundation thickness, and reservoir capacity; Calculating a drainage index based on the total drainage volume; Calculating the construction safety factor based on the slope seepage index and drainage index; The slope deformation parameters include slope gradient, slope width, slope depth and water flow velocity; The slope deformation coefficient obtained by calculating the slope deformation data analysis model in combination with the slope deformation parameters includes: The slope deformation coefficient is calculated according to the slope gradient, slope width, slope depth and water flow velocity; The weighted calculation of the construction stability coefficient, construction safety factor and slope deformation coefficient to obtain the comprehensive detection coefficient includes: ; in, as well as They represent the construction stability coefficient, construction safety factor and slope deformation coefficient respectively, α, b as well as c is the corresponding weight coefficient.

2. A dam engineering slope stability detection method according to claim 1, characterized in that: The displacement change index calculated based on the slope surface displacement and slope depth displacement includes: ; The bearing stability index calculated based on the soil foundation bearing capacity and the soil bearing capacity includes: ; The precipitation fluctuation index calculated according to the precipitation per unit time includes: ; The groundwater level fluctuation index calculated according to the groundwater level includes: ; The construction stability coefficient calculated based on the displacement change index, bearing stability index, precipitation fluctuation index and groundwater level fluctuation index includes: ; in, Indicates the building stability coefficient; represents the displacement change index corresponding to the i-th sub-region, represents the average displacement of the slope surface, represents the average value of slope depth displacement; represents the load stability index corresponding to the i-th sub-area, represents the bearing capacity of soil foundation, represents the soil bearing capacity corresponding to the i-th sub-region; represents the precipitation fluctuation index corresponding to the i-th sub-region, Δt represents the unit time, represents the precipitation per unit time in the i-th sub-region; represents the groundwater level fluctuation index corresponding to the i-th sub-region, λ represents the influencing factor affecting the groundwater level fluctuation, represents the groundwater level of the ith sub-region.

3. A dam engineering slope stability detection method according to claim 1, characterized in that: The slope seepage index calculated based on the seepage volume per unit time, foundation thickness, and reservoir capacity includes: ; The drainage index calculated based on the total drainage volume includes: ; The construction safety factor calculated based on the slope seepage index and drainage index includes: ; in, represents the construction safety factor; represents the slope seepage index of the i-th sub-region, represents the percolation rate per unit time of the i-th sub-region, represents the reservoir capacity, Indicates the thickness of the foundation, Indicates the maximum / minimum value of the reservoir water level; represents the drainage index, Indicates the actual displacement per unit time measured, Indicates the theoretical displacement per unit time.

4. A dam engineering slope stability detection method according to claim 1, characterized in that: The slope deformation coefficient is calculated based on the slope gradient, slope width, slope depth and water flow velocity, including: ; in, represents the slope deformation coefficient, represents the slope width, represents the slope depth, represents the slope gradient, represents the water flow velocity of the i-th sub-area per unit time.

5. A device for detecting the stability of a dam slope, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, each step of the method for detecting the stability of a dam engineering slope is implemented as described in any one of claims 1 to 4.

Citation Information

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