Method for determining geological stability of pumped storage power station under earthquake action and terminal device

Abstract

The present application belongs to the technical field of risk monitoring, and specifically discloses a method for determining the geological stability of a pumped storage power station under the action of an earthquake and a terminal device, wherein the method comprises: determining a plurality of geological disaster zones according to a three-dimensional geological real scene model of the pumped storage power station; determining a structural plane fissure fluctuation factor and a spatial gradient factor of each geological disaster zone, and determining a deformation fluctuation index of each geological disaster zone according to the structural plane fissure fluctuation factor and the spatial gradient factor; determining a resonance risk index and a stress ratio of each geological disaster zone to seismic waves; and determining the stability of each geological disaster zone of the pumped storage power station according to the rock mass stability index, the deformation fluctuation index, the resonance risk index and the stress ratio of each geological disaster zone. The present application determines the geological stability based on multiple parameters of the rock mass stability index, the deformation fluctuation index, the resonance risk index and the stress ratio, has higher accuracy, and thus can ensure the long-term stable operation of the pumped storage power station.

Description

Technical Field

[0001] This invention belongs to the field of risk monitoring technology, and specifically discloses a method and terminal equipment for determining the geological stability of a pumped storage power station under seismic action. Background Technology

[0002] Pumped storage power stations are typically built in mountainous areas with complex terrain and varied geological conditions, and their core facilities require extremely high geological stability. Even if a pumped storage power station can continue to operate under earthquake conditions, an accurate assessment of the geological stability of the project area is necessary to ensure the long-term safe operation of the pumped storage power station.

[0003] Existing technologies typically employ deformation monitoring, seepage monitoring, and crack monitoring to determine the geological stability of pumped-storage power stations under seismic loading. However, deformation monitoring can only capture existing deformations and cannot identify potential hazards within the rock mass that have not yet manifested as deformations; seepage monitoring can only reflect changes in the seepage field and cannot cover chain disasters such as landslides and debris flows triggered by earthquakes; crack monitoring can only track the expansion of existing cracks and cannot predict the occurrence of new disasters. Therefore, existing methods for determining the geological stability of pumped-storage power stations under seismic loading suffer from low accuracy. Summary of the Invention

[0004] The purpose of this invention is to provide a method and terminal equipment for determining the geological stability of pumped storage power stations under seismic loading, so as to solve the technical problem of low accuracy in determining the geological stability of pumped storage power stations by existing methods.

[0005] The first aspect of this invention provides a method for determining the geological stability of a pumped-storage power station under seismic loading, comprising: Step 1: Identify multiple geological hazard zones based on the 3D geological model of the pumped storage power station; Step 2: Determine the structural surface fracture fluctuation factor and spatial gradient factor for each geological disaster area, and determine the deformation fluctuation index for each geological disaster area based on the structural surface fracture fluctuation factor and the spatial gradient factor; Step 3: Determine the resonance risk index and stress ratio of seismic waves for each geological disaster zone; Step 4: Determine the stability of each geological disaster zone of the pumped storage power station based on the rock mass stability index, the deformation fluctuation index, the resonance risk index, and the stress ratio of each geological disaster zone.

[0006] Preferably, the structural surface fracture fluctuation factor for each geological disaster zone is determined as follows: Obtain the structural surface fracture density for each geological disaster zone; The structural surface fracture fluctuation factor for each geological disaster zone is determined based on the preset safety density and the structural surface fracture density.

[0007] Preferably, the spatial gradient factor for each geological disaster zone is determined as follows: Determine the surface deformation rate of the current geological disaster area and the previous geological disaster area respectively; Determine the distance between measurement points in the current geological disaster area and the previous geological disaster area; The spatial gradient factor of the current geological disaster area is determined based on the surface deformation rate and the distance between the measurement points.

[0008] Preferably, the deformation fluctuation index of each geological hazard zone is determined based on the structural surface fracture fluctuation factor and the spatial gradient factor, specifically as follows: The fluctuation term is determined based on the structural surface fracture fluctuation factor of the current geological disaster area and the structural surface fracture fluctuation factor of the previous geological disaster area; The gradient term is determined based on the mean of the spatial gradient factors of all geological disaster areas and the spatial gradient factor of the current geological disaster area; The deformation fluctuation index of the current geological disaster area is determined based on the fluctuation term and the gradient term.

[0009] Preferably, the resonance risk index of seismic waves for each geological disaster zone is determined, specifically as follows: Determine the natural frequency of the rock mass in each geological disaster zone; Determine the dominant seismic frequency for each geological disaster area; The resonance risk index of seismic waves for each geological disaster zone is determined based on the natural frequency of the rock mass and the dominant frequency of the seismic waves.

[0010] Preferably, the resonance risk index of seismic waves for each geological hazard zone is determined based on the natural frequency of the rock mass and the dominant frequency of the seismic wave, specifically as follows: Determine the difference between the dominant frequency of the seismic wave and the natural frequency of the rock mass; The resonance risk index of the corresponding geological disaster zone to seismic waves is determined by the quotient of the difference and the natural frequency of the rock mass.

[0011] Preferably, the stress ratio of seismic waves to each geological disaster zone is determined as follows: Determine the seismic shear stress corresponding to each geological disaster zone; Determine the shear strength of the structural surfaces in each geological disaster zone; The stress ratio of each geological hazard zone to seismic waves is determined by the quotient of the seismic shear stress and the shear strength of the structural surface.

[0012] Preferably, step 4 specifically includes: The geological risk correction coefficient is determined based on the rock mass stability index, the deformation fluctuation index, the resonance risk index, and the stress ratio for each geological hazard zone; Based on the geological risk correction coefficient and the geological three-dimensional real-world model, the stability distribution map of the pumped storage power station is determined.

[0013] A second aspect of the present invention provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method for determining the geological stability of a pumped storage power station under seismic loading.

[0014] The method and terminal equipment for determining the geological stability of pumped storage power stations under seismic loading of the present invention have the following advantages compared with the prior art: This invention determines the geological stability of pumped storage power stations under seismic loading based on four parameters: rock mass stability index, deformation fluctuation index, resonance risk index (characterizing earthquake propagation characteristics), and stress ratio. Compared with the geological stability determined by considering only surrounding rock deformation, seepage, and cracks, this invention has higher accuracy. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating the method for determining the geological stability of a pumped storage power station under seismic loading, as described in an embodiment of the present invention. Detailed Implementation

[0016] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0017] The first aspect of this invention provides a method for determining the geological stability of a pumped-storage power station under seismic loading, such as... Figure 1 As shown, it includes: Step 1: Determine multiple geological hazard zones based on the three-dimensional geological model of the pumped storage power station.

[0018] This invention uses LiDAR dense point cloud data from unmanned aerial vehicles (UAVs) and close-up photogrammetry to construct a refined three-dimensional geological model of a pumped storage power station, and extracts multiple geological hazard zones of the pumped storage power station based on the three-dimensional geological model.

[0019] For example, the process of determining a three-dimensional geological scene model is as follows: S01: Use a drone to conduct the initial aerial survey of the pumped storage power station to obtain the initial terrain information of the pumped storage power station.

[0020] S02: Based on the initial terrain information, use professional software to plan a three-dimensional flight path, and import the planned three-dimensional flight path into the drone's flight control system to achieve automatic close-to-the-ground flight. During the flight, the camera on the drone will collect multi-angle, high-resolution images of the subject.

[0021] S03: Preprocess the large amount of acquired image data, including but not limited to image denoising, radiometric correction, and geometric correction.

[0022] S04: Using the preprocessed image data, aerial triangulation is used to determine the exterior orientation elements of each image and the three-dimensional coordinates of ground points, establishing the correspondence between the images and ground points.

[0023] S05: Based on the results of aerial triangulation, perform dense matching on the images to generate dense point cloud data.

[0024] S06: Filter the dense point cloud data to remove noise points and non-ground points, extract the ground point cloud data, and map the texture information of the image onto the 3D point cloud to give the 3D model a realistic texture appearance.

[0025] S07: Using the processed point cloud data and texture information, a detailed geological 3D model of the pumped storage power station is constructed using professional 3D modeling software.

[0026] S08: Verify the accuracy of the generated 3D geological scene model. If the accuracy does not meet the requirements, optimize the model.

[0027] S09: Using a 3D geological model, extract multiple geological hazard zones for the pumped storage power station and number each zone sequentially. .

[0028] Step 2: Determine the structural surface fracture fluctuation factor and spatial gradient factor for each geological hazard zone, and determine the deformation fluctuation index for each geological hazard zone based on the structural surface fracture fluctuation factor and spatial gradient factor, specifically as follows: Step 2.1: Determine the structural surface fracture fluctuation factor for each geological disaster zone.

[0029] Step 2.1.1: Obtain the structural surface fracture density of each geological disaster area.

[0030] This invention utilizes multi-source remote sensing technology to collect the structural surface fracture density of each geological disaster zone corresponding to a pumped storage power station. .

[0031] Step 2.1.2: According to the preset safety density and structural surface crack density The structural surface fracture fluctuation factor for each geological hazard zone is determined as shown in formula (1): (1) In the formula, For the first i Structural surface fracture fluctuation factor in individual geological disaster zones; For the first Structural surface fracture density in individual geological disaster zones; This represents the maximum structural surface fracture density in all geological disaster zones. The preset structural surface crack safety density.

[0032] Step 2.2: Determine the spatial gradient factor for each geological hazard zone, specifically as follows: Step 2.2.1: Determine the surface deformation rate of the current geological disaster area and the previous geological disaster area respectively; Step 2.2.2: Determine the distance between measurement points in the current geological disaster area and the previous geological disaster area; Step 2.2.3: Determine the spatial gradient factor of the current geological disaster area based on the surface deformation rate and the distance between measurement points.

[0033] The formula for determining the spatial gradient factor for each geological hazard zone is as follows: (2) In the formula, For the first Spatial gradient factor of individual geological disaster areas; For the first The surface deformation rate of each geological disaster zone; For the first The surface deformation rate of each geological disaster zone; For the first The geological disaster area and the first Spacing between measurement points in geological disaster areas.

[0034] Step 2.3: Determine the deformation fluctuation index for each geological hazard zone based on the structural surface fracture fluctuation factor and spatial gradient factor, specifically as follows: Step 2.3.1: Determine the fluctuation term based on the structural surface fracture fluctuation factor of the current geological disaster area and the structural surface fracture fluctuation factor of the previous geological disaster area; Step 2.3.2: Determine the gradient term based on the mean of the spatial gradient factors of all geological disaster areas and the spatial gradient factor of the current geological disaster area; Step 2.3.3: Determine the deformation fluctuation index of the current geological disaster area based on the fluctuation term and gradient term.

[0035] (3)

[0036] In the formula, For the first Deformation fluctuation index of individual geological disaster areas , These are the balance coefficients of the spatial gradient factor and the structural surface crack fluctuation factor, respectively. For the first Structural surface fracture fluctuation factor in individual geological disaster zones; This represents the total number of geological disaster areas.

[0037] Step 3: Determine the resonance risk index and stress ratio of seismic waves for each geological hazard zone, specifically as follows: Step 3.1: Determine the resonance risk index of seismic waves for each geological hazard zone, specifically as follows: Step 3.1.1: Determine the natural frequency of the rock mass in each geological disaster area.

[0038] Step 3.1.2: Determine the dominant frequency of seismic waves corresponding to each geological disaster area.

[0039] This invention utilizes seismic sensors to collect the dominant seismic frequencies in various geological disaster areas of pumped storage power stations.

[0040] Step 3.1.3: Determine the resonance risk index of each geological disaster area to seismic waves based on the natural frequency of the rock mass and the dominant frequency of the seismic wave. Specifically, determine the difference between the dominant frequency of the seismic wave and the natural frequency of the rock mass; determine the resonance risk index of the corresponding geological disaster area to seismic waves based on the quotient of the difference and the natural frequency of the rock mass, as shown in formula (4): (4) In the formula, For the first Resonance risk index of individual geological disaster areas; For the first The dominant frequency of seismic waves in the geological disaster area; For the first The inherent frequency of rock masses in geological disaster areas.

[0041] Step 3.2: Determine the stress ratio of seismic waves for each geological hazard zone, specifically as follows: Step 3.2.1: Determine the seismic shear stress corresponding to each geological disaster zone.

[0042] This invention utilizes seismic sensors to collect seismic shear stress in various geological disaster areas of pumped storage power stations.

[0043] Step 3.2.2: Determine the shear strength of the structural surfaces in each geological disaster area.

[0044] Step 3.2.3: Determine the stress ratio of each geological hazard zone to the seismic wave based on the quotient of the seismic shear stress and the shear strength of the structural surface, as shown in formula (5): (5) In the formula, For the first The stress ratio of each geological disaster zone to seismic waves; For the first Seismic shear stress in geological disaster zones; For the first Shear strength of structural surfaces in geological disaster zones.

[0045] Step 4: Determine the stability of each geological hazard zone of the pumped storage power station based on the rock mass stability index, deformation fluctuation index, resonance risk index, and stress ratio of each geological hazard zone. Specifically: Step 4.1: Determine the geological risk correction coefficient based on the rock mass stability index, deformation fluctuation index, resonance risk index, and stress ratio of each geological disaster area.

[0046] The aforementioned rock mass stability index was calculated based on the collected rock mass stability data. The calculation process is as follows: S1: Normalize the lithological characteristic indicators, rock mass structural surface characteristic indicators, and rock mass deformation monitoring indicators of various geological disaster areas to obtain standardized indicator values; S02: Use the analytic hierarchy process (AHP) to determine the weights of each indicator; S03: Calculate the rock mass stability index of each geological disaster area using the indicators and corresponding weights, as shown in formula (6): (6) In the formula, For the first Rock mass stability index of each geological disaster zone The first Standardized index values ​​for lithological characteristics, rock mass structural surface characteristics, and rock mass deformation monitoring indicators in each geological disaster zone. , , The first The weights of standardized indicator values ​​for each geological disaster area. (The above...) All data were collected using multi-source remote sensing identification technology.

[0047] When the resonance risk index or stress ratio increases, the seismic risk increases, and the geological risk correction coefficient decreases significantly. When the deformation fluctuation index increases, the geological deformation becomes more active, and the influence of seismic waves is partially offset. Therefore, the calculation formula for the geological risk correction coefficient in this embodiment of the invention is as follows: (7) In the formula, For the first Geological risk correction coefficient for geological disaster areas For the first Deformation fluctuation index of individual geological disaster areas For the first Rock mass stability index of each geological disaster zone For the first The resonance risk index of individual geological disaster areas For the first Stress ratio of each geological disaster zone This is the attenuation coefficient.

[0048] Step 4.2: Determine the stability distribution map of the pumped storage power station based on the geological risk correction coefficient and the three-dimensional geological model.

[0049] This invention obtains the geological risk correction coefficients of seismic waves in various geological disaster areas of a pumped storage power station. Then, using a 3D geological real-scene model combined with a GIS geographic information system, the geological risk correction coefficients are represented on a stability distribution map with different colors or patterns, visually displaying the stability status of each geological disaster area. Based on the stability distribution map, the pumped storage power station area is divided into high-stability, medium-stability, and low-stability zones. Corresponding prevention and control measures are formulated for areas with different stability levels. For high-stability zones, routine monitoring and maintenance measures can be adopted; for medium-stability zones, monitoring frequency needs to be increased and necessary reinforcement measures need to be taken; for low-stability zones, immediate emergency measures, such as evacuating personnel and reinforcing structures, are required to ensure the safe operation of the pumped storage power station. Simultaneously, the implementation effect of the prevention and control measures is fed back to the management terminal for continuous optimization and improvement.

[0050] A second aspect of the present invention provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the above-described method for determining the geological stability of a pumped storage power station under seismic action.

[0051] This invention determines the geological stability of pumped storage power stations under seismic loading based on four parameters: rock mass stability index, deformation fluctuation index, resonance risk index (characterizing earthquake propagation characteristics), and stress ratio. Compared with the geological stability determined by considering only surrounding rock deformation, seepage, and cracks, this invention has higher accuracy.

[0052] The above descriptions are merely a few embodiments of the present invention and are not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any modifications or alterations made by those skilled in the art without departing from the scope of the technical solution of the present invention using the disclosed technical content are equivalent to equivalent implementation cases and fall within the scope of the technical solution.

Claims

1. A method for determining the geological stability of a pumped-storage power station under seismic loading, characterized in that, include: Step 1: Identify multiple geological hazard zones based on the 3D geological model of the pumped storage power station; Step 2: Determine the structural surface fracture fluctuation factor and spatial gradient factor for each geological disaster area, and determine the deformation fluctuation index for each geological disaster area based on the structural surface fracture fluctuation factor and the spatial gradient factor; Step 3: Determine the resonance risk index and stress ratio of seismic waves for each geological disaster zone; Step 4: Determine the stability of each geological disaster zone of the pumped storage power station based on the rock mass stability index, the deformation fluctuation index, the resonance risk index, and the stress ratio of each geological disaster zone.

2. The method for determining the geological stability of a pumped-storage power station under seismic loading as described in claim 1, characterized in that, The structural surface fracture fluctuation factor for each geological hazard zone is determined as follows: Obtain the structural surface fracture density for each geological disaster zone; The structural surface fracture fluctuation factor for each geological disaster zone is determined based on the preset safety density and the structural surface fracture density.

3. The method for determining the geological stability of a pumped-storage power station under seismic loading as described in claim 1, characterized in that, The spatial gradient factor for each geological hazard zone is determined as follows: Determine the surface deformation rate of the current geological disaster area and the previous geological disaster area respectively; Determine the distance between measurement points in the current geological disaster area and the previous geological disaster area; The spatial gradient factor of the current geological disaster area is determined based on the surface deformation rate and the distance between the measurement points.

4. The method for determining the geological stability of a pumped-storage power station under seismic loading as described in claim 1, characterized in that, The deformation fluctuation index of each geological hazard zone is determined based on the structural surface fracture fluctuation factor and the spatial gradient factor, specifically as follows: The fluctuation term is determined based on the structural surface fracture fluctuation factor of the current geological disaster area and the structural surface fracture fluctuation factor of the previous geological disaster area; The gradient term is determined based on the mean of the spatial gradient factors of all geological disaster areas and the spatial gradient factor of the current geological disaster area; The deformation fluctuation index of the current geological disaster area is determined based on the fluctuation term and the gradient term.

5. The method for determining the geological stability of a pumped-storage power station under seismic loading as described in claim 1, characterized in that, The resonance risk index of seismic waves for each geological hazard zone is determined as follows: Determine the natural frequency of the rock mass in each geological disaster zone; Determine the dominant seismic frequency for each geological disaster area; The resonance risk index of seismic waves for each geological disaster zone is determined based on the natural frequency of the rock mass and the dominant frequency of the seismic waves.

6. The method for determining the geological stability of a pumped-storage power station under seismic loading as described in claim 5, characterized in that, The resonance risk index of seismic waves for each geological hazard zone is determined based on the natural frequency of the rock mass and the dominant frequency of the seismic waves, specifically as follows: Determine the difference between the dominant frequency of the seismic wave and the natural frequency of the rock mass; The resonance risk index of the corresponding geological disaster zone to seismic waves is determined by the quotient of the difference and the natural frequency of the rock mass.

7. The method for determining the geological stability of a pumped-storage power station under seismic loading as described in claim 1, characterized in that, The stress ratio of seismic waves to each geological hazard zone is determined as follows: Determine the seismic shear stress corresponding to each geological disaster zone; Determine the shear strength of the structural surfaces in each geological disaster zone; The stress ratio of each geological hazard zone to seismic waves is determined by the quotient of the seismic shear stress and the shear strength of the structural surface.

8. The method for determining the geological stability of a pumped-storage power station under seismic loading as described in claim 1, characterized in that, Step 4 is as follows: The geological risk correction coefficient is determined based on the rock mass stability index, the deformation fluctuation index, the resonance risk index, and the stress ratio for each geological hazard zone; Based on the geological risk correction coefficient and the geological three-dimensional real-world model, the stability distribution map of the pumped storage power station is determined.

9. A terminal device, 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, it implements the steps of the method for determining the geological stability of a pumped storage power station under seismic loading as described in any one of claims 1-8.

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