Electric power engineering slope support system type selection optimization method and system

Abstract

The invention belongs to the technical field of electric power engineering. The method comprises the three steps of preliminary model selection of a supporting structure, slope model selection evaluation and model selection optimization, and starting from the safety and economical efficiency of slope supporting, firstly, preliminary model selection is conducted on the supporting structure through the geometric morphology and stratum characteristics of a slope; then, model selection of the supporting structure is evaluated by establishing a three-dimensional finite element model, inviting experts to judge scores and calculating economic indexes, and then the supporting structure is further optimized by comparing a slope model selection evaluation value with a supporting system comprehensive evaluation boundary value; the model selection problem of different supporting structures under the same geological slope in economy and safety can be effectively solved, and finally the slope supporting structures meeting the engineering safety and saving the engineering cost are screened out.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric power engineering, in particular to a power engineering slope support system selection optimization method and system. BACKGROUND

[0002] The statements in this section merely provide background technology related to the present application and do not necessarily constitute prior art.

[0003] In the construction of many infrastructures, slope support cannot be ignored. Slope support refers to the support, reinforcement and protection measures taken for the slope to ensure the stability of the slope and the safety of the surrounding environment. In the construction process, the application of slope support can effectively reduce the influence of adverse factors on construction, save the construction period, ensure the smooth progress of the project, and avoid personnel casualties and property losses caused by slope instability. In the current slope support, in order to prevent landslides, measures such as slope, anchor spraying, anti-slide pile and retaining wall are generally used. The above methods can effectively support the slope, but for the same geological slope, there are many support methods in the industry that can meet the safety requirements of the project, but the engineering costs corresponding to different support methods are significantly different.

[0004] In actual engineering, when selecting a support form for a specific geological slope, both safety performance and economic cost need to be considered, but there is currently no standardized technical path in the industry that can integrate slope geological parameters, support safety indicators and economic cost, and cannot realize the coordinated consideration of the two. This situation leads to the fact that traditional selection is mostly dependent on personnel experience, which not only makes it difficult to accurately verify the safety adaptability of different support methods and slope geological conditions, but also cannot quantitatively evaluate the rationality of economic investment. This lack of scientific planning of the selection mode not only makes it difficult to ensure the optimality of the support scheme, but also easily leads to safety redundancy or cost waste, which becomes a technical bottleneck restricting the efficient promotion of slope support engineering. SUMMARY

[0005] In order to solve the problems of the prior art, the present application provides a power engineering slope support system selection optimization method and system, which can effectively solve the selection problem of different support structures in economy and safety under the same geological slope, and ultimately screen out a slope support structure that meets the safety of the project while saving the engineering cost.

[0006] In order to achieve the above purpose, the present application adopts the following technical scheme: In a first aspect, the present application provides a power engineering slope support system selection optimization method.

[0007] A power engineering slope support system selection optimization method, comprising the following processes: Obtain slope related data; According to the obtained slope related data, an original slope evaluation value is calculated, the original slope evaluation value is compared with a preliminary support system selection boundary value, and a preliminary support structure selection is determined according to a comparison result; A three-dimensional finite element model of the slope is established, corresponding monitoring points are set in the three-dimensional finite element, and a maximum internal force coefficient of the support structure and a slope support evaluation value are respectively calculated according to monitoring data of the monitoring points; An expert score of the preliminary support structure selection is obtained; An optimization boundary value of the support system is determined according to the preliminary support structure selection, a normalized size, a normalized strength and an embedding depth ratio are obtained, and an economic index is obtained according to the optimization boundary value of the support system, the normalized size, the normalized strength and the embedding depth ratio; A slope rainfall limit value and a slope earthquake limit value are set, a slope selection evaluation value is calculated according to the maximum internal force coefficient of the support structure, the slope support evaluation value, the expert score, the economic index, the slope rainfall limit value and the slope earthquake limit value, and a slope support system selection optimization is performed according to a comparison between the slope selection evaluation value and a support system comprehensive evaluation boundary value.

[0008] In a second aspect, the present application provides a power engineering slope support system selection optimization system.

[0009] A power engineering slope support system selection optimization system comprises: A data acquisition unit is configured to acquire slope related data; A preliminary selection unit is configured to calculate an original slope evaluation value according to the acquired slope related data, compare the original slope evaluation value with a preliminary support system selection boundary value, and determine a preliminary support structure selection according to a comparison result; A support evaluation unit is configured to establish a three-dimensional finite element model of the slope, set corresponding monitoring points in the three-dimensional finite element, and respectively calculate a maximum internal force coefficient of the support structure and a slope support evaluation value according to monitoring data of the monitoring points; An expert score unit is configured to obtain an expert score of the preliminary support structure selection; An economic index calculation unit is configured to determine an optimization boundary value of the support system according to the preliminary support structure selection, obtain a normalized size, a normalized strength and an embedding depth ratio, and obtain an economic index according to the optimization boundary value of the support system, the normalized size, the normalized strength and the embedding depth ratio; The selection optimization unit is configured to: set slope rainfall limits and slope seismic limits; calculate slope selection evaluation values ​​based on the maximum internal force coefficient of the support structure, slope support evaluation values, expert scores, economic indicators, slope rainfall limits, and slope seismic limits; and optimize the slope support system selection based on the comparison between the slope selection evaluation values ​​and the comprehensive evaluation boundary values ​​of the support system.

[0010] Thirdly, the present invention provides a computer device, comprising: a processor and a computer-readable storage medium; A processor, adapted to execute computer programs; A computer-readable storage medium storing a computer program, which, when executed by the processor, implements the power engineering slope support system selection and optimization method of the first aspect of the present invention.

[0011] Fourthly, the present invention provides a computer-readable storage medium storing a computer program adapted to be loaded by a processor and executed by the power engineering slope support system selection and optimization method of the first aspect of the present invention.

[0012] Fifthly, the present invention provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the power engineering slope support system selection and optimization method of the first aspect of the present invention.

[0013] Compared with the prior art, the beneficial effects of the present invention are: This invention first acquires relevant slope data, then determines the initial selection of the support structure by comparing the calculated original slope assessment value with the preliminary selection boundary value of the support system. Next, a three-dimensional finite element model of the slope is established with monitoring points, and the maximum internal force coefficient of the support structure and the slope support assessment value are calculated based on the monitoring data. Simultaneously, expert scores are obtained, and the optimization boundary value and related parameters are calculated in conjunction with the preliminary support selection to determine economic indicators. Finally, rainfall and earthquake limits are set, and the slope selection evaluation value is calculated based on multi-dimensional data. The comprehensive evaluation boundary value is compared to complete the optimization. This invention solves the problem of rationally selecting support structures for the same geological slope in terms of safety and economy, overcomes the limitations of traditional selection methods that rely on experience and consider only a single factor, improves the scientific nature and optimization accuracy of the support system selection, ensures that the selection meets both engineering safety requirements and economic rationality, avoids the safety risk of slope instability caused by improper selection, and reduces cost waste caused by over-support or under-support.

[0014] This invention comprehensively collects slope geometry (slope, slope length, width) and soil properties (cohesion, internal friction angle, rock integrity, etc.) parameters, and incorporates soil weight coefficients and the weight coefficients of each parameter into the selection calculation. At the same time, it fully considers the influence of special environmental factors such as rainfall and earthquakes in the selection optimization, which solves the problem of incomplete consideration of slope geological characteristics and environmental factors in traditional support selection. It overcomes the defects of poor support adaptability caused by relying on only some parameters or ignoring environmental changes, improves the adaptability of the support system to different geological conditions and environmental scenarios, ensures that the support structure can remain stable in complex environments, avoids the failure of the support structure caused by the failure to consider differences in geological parameters or environmental changes, and ensures the long-term safe operation of power engineering slopes.

[0015] This invention uses a three-dimensional finite element model to model and analyze slopes. Monitoring points such as slope top displacement, slope bottom displacement, and pore pressure are set in the model. Based on the monitoring data, the maximum internal force coefficient of the support structure and the slope support assessment value are accurately calculated, reflecting the stress state of the support structure and the stability of the slope. This solves the problems of traditional slope support assessment lacking accurate data support and having vague judgments on the stress of the support structure and slope deformation. It overcomes the shortcomings of relying on experience-based estimation, which leads to large deviations in assessment results. This improves the accuracy of assessing the internal force distribution of the support structure and the stability state of the slope, providing reliable data for support optimization. It avoids unreasonable support design due to misjudgment of slope stress and deformation, and reduces the risk of damage to the support structure caused by stress exceeding its bearing capacity.

[0016] This invention combines preliminary selection of support structures to determine the optimal boundary value of the support system. It calculates economic indicators using normalized dimensions, normalized strength, and embedment depth ratio. These economic indicators, along with expert scores, are incorporated into the slope selection evaluation value calculation. This solves the problems of balancing safety and economy in support selection and the lack of professional experience to assist in judgment. It overcomes the one-sidedness of unilaterally prioritizing safety while ignoring cost or sacrificing safety for economic considerations. It improves the cost-effectiveness of support schemes, ensuring that the selection achieves optimal cost while meeting safety standards. This avoids the waste of funds caused by over-support and also avoids slope safety hazards caused by insufficient support due to a purely economical approach. This saves costs and ensures project safety for power engineering slope support projects.

[0017] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0018] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0019] Figure 1 A flowchart illustrating a method for selecting and optimizing a slope support system for power engineering, provided as an exemplary embodiment of the present invention; Figure 2 A three-dimensional model diagram of a slope is provided as an exemplary embodiment of the present invention; Figure 3 A schematic diagram of a power engineering slope support system selection and optimization system provided as an exemplary embodiment of the present invention; Figure 4 A schematic diagram of a computer device provided as an exemplary embodiment of the present invention; Among them, 1. Bedrock; 2. Weathered soil; 3. Plain fill; 4. Slope top displacement monitoring point; 5. Pore pressure monitoring point; 6. Slope bottom displacement monitoring point. Detailed Implementation

[0020] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0021] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0022] For the same geological slope, many slope support methods can be selected; however, choosing one that is both economical and safe remains challenging. Therefore, this paper proposes an optimization method for selecting slope support systems in power engineering. Based on the slope geometry and geological parameters, a preliminary selection of the support structure is made using formulas. Further optimization is achieved through numerical simulation, internal force coefficients of the support structure, expert economic evaluation scores, and economic indicators, ultimately yielding the optimal support structure. This provides a new approach for subsequent selection of slope support structures based on both economic efficiency and safety. Specifically, the process includes the following: Step S101: Collect relevant slope data.

[0023] refer to Figure 1 As shown, information such as the geological characteristics and geometric morphology of the slope was collected, including: slope α, slope weight coefficient. Slope length L, slope length weighting coefficient Width B, Width weighting coefficient Soil parameters Soil weight coefficient (rock, =1; Soil type, =0), cohesion Cohesion weighting coefficient internal friction angle Internal friction angle weighting coefficient Uniaxial compressive strength Uniaxial compressive strength weighting coefficient Rock integrity parameters Rock integrity weighting coefficient .

[0024] Step S102: Preliminary selection of support structure.

[0025] refer to Figure 1 As shown, after collecting the geological characteristic parameters and geometric morphology information, the original slope evaluation value is obtained according to the following formula. : (1); In the formula, This represents the original slope assessment value, where α is the slope. Here, L is the slope weighting coefficient, and L is the slope length. Where B is the slope length weighting coefficient, and B is the width. This is the width weighting coefficient. For soil parameters, Soil weight coefficient (rock, =1; Soil type, =0), For cohesion, This is the cohesion weighting coefficient. It is the internal friction angle. This is the internal friction angle weighting coefficient. Uniaxial compressive strength, This is the weighting coefficient for uniaxial compressive strength. For rock integrity parameters, This represents the rock integrity weighting coefficient.

[0026] Original slope assessment value Initial selection boundary value of support system , Make comparisons; when At that time, the selected support structure type was slope protection; when At that time, the selected support structure type was shotcrete anchor; when At that time, the selected support structure type was anti-slide piles; when At that time, the selected support structure type was a retaining wall.

[0027] Step S103: Establish a three-dimensional finite element model.

[0028] refer toFigure 2 As shown, a three-dimensional finite element model of the slope was established in the finite element analysis software, and corresponding monitoring points were set, including bedrock 1, weathered soil 2, plain fill 3, vertical and horizontal displacement monitoring point 4 at the top of the slope, pore water pressure monitoring point 5, and vertical and horizontal displacement monitoring point 6 at the bottom of the slope. The horizontal displacement at the top of the slope was monitored. Horizontal displacement weighting coefficient at the top of the slope Horizontal displacement at the toe of the slope Horizontal displacement weighting coefficient at the toe of the slope Pore ​​water pressure within the slope (u), weighting coefficient of pore water pressure within the slope Vertical displacement at the top of the slope Vertical displacement weighting coefficient at the top of the slope Vertical displacement at the toe of the slope Vertical displacement weighting coefficient at the toe of the slope Safety factor Maximum tensile stress of the support structure and the maximum compressive stress of the support structure Then, using the safety factor Calculate the stability of the slope.

[0029] The maximum internal force coefficient of the support structure is calculated using the formula. : (2); In the formula, The maximum internal force coefficient of the support structure. The maximum tensile stress of the support structure is obtained from numerical analysis. The maximum compressive stress of the support structure is obtained from numerical analysis. For compressive strength, This refers to tensile strength.

[0030] The slope protection assessment value is calculated using a formula. : (3); In the formula, This is the slope protection assessment value. This represents the horizontal displacement at the top of the slope. This is the weighting coefficient for the horizontal displacement at the top of the slope. This represents the vertical displacement at the toe of the slope. This is the vertical displacement weighting coefficient at the toe of the slope. This represents the horizontal displacement at the toe of the slope. This is the horizontal displacement weighting coefficient at the toe of the slope. This represents the vertical displacement at the toe of the slope. This is the vertical displacement weighting coefficient at the toe of the slope. The pore water pressure within the slope, This is the weighting coefficient for pore water pressure within the slope.

[0031] Step S104: Expert evaluation and scoring.

[0032] refer to Figure 1 As shown, three to five experts in the field were invited to evaluate and score the preliminary selection of the support structure. The scores were based on a 100-point scale, and the average score was taken. .

[0033] Step S105: Calculate economic indicators.

[0034] refer to Figure 1 As shown, the optimal boundary value of the support system is obtained through the support type. When the support structure type is slope protection, When the support structure type is shotcrete and anchor, When the support structure type is anti-slide piles, When the support structure type is a retaining wall, .

[0035] Simultaneously, support parameters are collected, including: normalized dimensions. (0~10) Normalized intensity (0~10) Embedding depth ratio Finally, the economic indicators are calculated using a formula. ( The value range is 0 to 100 (parts exceeding 100 are calculated as 100). (4); In the formula, As an economic indicator, To optimize the boundary value of the support system, To normalize the size, For normalized intensity, This represents the embedding depth ratio.

[0036] Step S106: Slope selection optimization and evaluation.

[0037] refer to Figure 1 As shown, considering special environmental factors, a slope rainfall limit is set. and slope seismic limits ; When environmental factors do not take rainfall into account ; When the daily rainfall in the environment is 24.9 mm or less, ; When the daily rainfall in the environment is 25~49.9 mm, ; When the daily rainfall in the environment is 50~99.9 mm, ; When the daily rainfall in the environment is 100-250 mm, ; When the daily rainfall in the environment exceeds 250 mm, ; When the environment does not take earthquakes into account ; When the magnitude of an earthquake in the environment is less than 4.5, ; When the magnitude of an earthquake in the environment is greater than or equal to 4.5 and less than 6, ; When the earthquake magnitude in the environment is greater than or equal to 6 and less than 7, ; When the earthquake magnitude in the environment is greater than or equal to 7 but less than 8, ; When the earthquake magnitude in the environment is greater than or equal to 8, .

[0038] Calculate the slope selection evaluation value using the formula. And define the comprehensive evaluation threshold value of the support system. and : (5); In the formula, This is the evaluation value for slope selection. For expert evaluation and scoring, The maximum internal force coefficient of the support structure. As an economic indicator, This is the slope protection assessment value. For slope rainfall limits, These are the seismic limits for slopes.

[0039] when At that time, the support structure was reinforced; when At the same time, the support structure can be optimized and saved.

[0040] Ultimately, a slope protection structure that meets engineering safety requirements while saving on engineering costs was selected.

[0041] Figure 3 This paper presents a selection and optimization system for slope protection in power engineering, including: Data acquisition unit 301 is configured to acquire slope-related data; The preliminary selection unit 302 is configured to: calculate the original slope evaluation value based on the acquired slope-related data, compare the original slope evaluation value with the preliminary selection boundary value of the support system, and determine the preliminary selection of the support structure based on the comparison results; The support assessment unit 303 is configured to: establish a three-dimensional finite element model of the slope, set corresponding monitoring points in the three-dimensional finite element model, and calculate the maximum internal force coefficient of the support structure and the slope support assessment value based on the monitoring data of the monitoring points. Expert scoring unit 304 is configured to: obtain expert scores for the preliminary selection of the support structure; The economic index calculation unit 305 is configured to: determine the optimization boundary value of the support system based on the preliminary selection of the support structure, obtain the normalized size, normalized strength and embedment depth ratio, and obtain the economic index based on the optimization boundary value, normalized size, normalized strength and embedment depth ratio of the support system; The selection optimization unit 306 is configured to: set slope rainfall limit values ​​and slope seismic limit values; calculate slope selection evaluation values ​​based on the maximum internal force coefficient of the support structure, slope support evaluation values, expert scores, economic indicators, slope rainfall limit values, and slope seismic limit values; and optimize the slope support system selection based on the comparison between the slope selection evaluation values ​​and the comprehensive evaluation boundary values ​​of the support system.

[0042] It is understood that the aforementioned units can be individually or entirely merged into one or more other units, or some of the units can be further divided into multiple functionally smaller units. This achieves the same operation without affecting the technical effects of the embodiments of this application. The aforementioned units are based on logical functional division. In practical applications, the function of one unit can be implemented by multiple units, or the function of multiple units can be implemented by one unit. In other embodiments of this application, the system may also include other units. In practical applications, these functions can also be implemented with the assistance of other units, and can be implemented collaboratively by multiple units.

[0043] According to another embodiment of this application, the system of this embodiment can be constructed by running a computer program (including program code) capable of performing the steps involved in the corresponding method of the present invention on a general-purpose computing device, such as a computer, which includes processing elements and storage elements such as a central processing unit (CPU), random access memory (RAM), and read-only memory (ROM). The computer program can be recorded on, for example, a computer-readable recording medium, loaded into the aforementioned computing device through the computer-readable recording medium, and run therein.

[0044] Figure 4 A computer device is shown, which includes a processor 401, a communication interface 402, and a computer-readable storage medium 403. The processor 401, communication interface 402, and computer-readable storage medium 403 can be connected via a bus or other means.

[0045] The communication interface 402 is used to receive and send data. The computer-readable storage medium 403 can be stored in the memory of the electronic device. The computer-readable storage medium 403 is used to store computer programs, which include program instructions. The processor 401 is used to execute the program instructions stored in the computer-readable storage medium 403.

[0046] The processor 401 is the computing and control core of the electronic device. It is suitable for implementing one or more instructions, specifically for loading and executing one or more instructions to achieve the corresponding method flow or corresponding function.

[0047] Processor 401 is configured to perform the following procedure: Obtain relevant slope data; The original slope assessment value is calculated based on the obtained slope-related data. The original slope assessment value is compared with the initial selection boundary value of the support system. The preliminary selection of the support structure is determined based on the comparison results. A three-dimensional finite element model of the slope was established, and corresponding monitoring points were set in the three-dimensional finite element model. The maximum internal force coefficient of the support structure and the slope support evaluation value were calculated based on the monitoring data of the monitoring points. Obtain expert scores for the preliminary selection of the support structure; Based on the preliminary selection of the support structure, the optimal boundary value of the support system is determined, and the normalized size, normalized strength and embedment depth ratio are obtained. Based on the optimal boundary value of the support system, the normalized size, normalized strength and embedment depth ratio, the economic indicators are obtained. Set slope rainfall limits and slope seismic limits. Calculate slope selection evaluation values ​​based on the maximum internal force coefficient of the support structure, slope support evaluation values, expert scores, economic indicators, slope rainfall limits, and slope seismic limits. Optimize the slope support system selection by comparing the slope selection evaluation values ​​with the comprehensive evaluation boundary values ​​of the support system.

[0048] This invention also provides a computer-readable storage medium, which is a memory device in an electronic device for storing programs and data. It is understood that the computer-readable storage medium here may include both built-in storage media in the electronic device and extended storage media supported by the electronic device. The computer-readable storage medium provides storage space for storing the processing system of the electronic device.

[0049] Furthermore, this storage space also contains one or more instructions suitable for loading and execution by the processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory; alternatively, it can also be at least one computer-readable storage medium located remotely from the aforementioned processor.

[0050] In one embodiment, the computer-readable storage medium stores one or more instructions; the processor loads and executes the one or more instructions stored in the computer-readable storage medium to perform the following process: Obtain relevant slope data; The original slope assessment value is calculated based on the obtained slope-related data. The original slope assessment value is compared with the initial selection boundary value of the support system. The preliminary selection of the support structure is determined based on the comparison results. A three-dimensional finite element model of the slope was established, and corresponding monitoring points were set in the three-dimensional finite element model. The maximum internal force coefficient of the support structure and the slope support evaluation value were calculated based on the monitoring data of the monitoring points. Obtain expert scores for the preliminary selection of the support structure; Based on the preliminary selection of the support structure, the optimal boundary value of the support system is determined, and the normalized size, normalized strength and embedment depth ratio are obtained. Based on the optimal boundary value of the support system, the normalized size, normalized strength and embedment depth ratio, the economic indicators are obtained. Set slope rainfall limits and slope seismic limits. Calculate slope selection evaluation values ​​based on the maximum internal force coefficient of the support structure, slope support evaluation values, expert scores, economic indicators, slope rainfall limits, and slope seismic limits. Optimize the slope support system selection by comparing the slope selection evaluation values ​​with the comprehensive evaluation boundary values ​​of the support system.

[0051] The present invention also provides a computer program product or computer program comprising computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the electronic device to perform the following process: Obtain relevant slope data; The original slope assessment value is calculated based on the obtained slope-related data. The original slope assessment value is compared with the initial selection boundary value of the support system. The preliminary selection of the support structure is determined based on the comparison results. A three-dimensional finite element model of the slope was established, and corresponding monitoring points were set in the three-dimensional finite element model. The maximum internal force coefficient of the support structure and the slope support evaluation value were calculated based on the monitoring data of the monitoring points. Obtain expert scores for the preliminary selection of the support structure; Based on the preliminary selection of the support structure, the optimal boundary value of the support system is determined, and the normalized size, normalized strength and embedment depth ratio are obtained. Based on the optimal boundary value of the support system, the normalized size, normalized strength and embedment depth ratio, the economic indicators are obtained. Set slope rainfall limits and slope seismic limits. Calculate slope selection evaluation values ​​based on the maximum internal force coefficient of the support structure, slope support evaluation values, expert scores, economic indicators, slope rainfall limits, and slope seismic limits. Optimize the slope support system selection by comparing the slope selection evaluation values ​​with the comprehensive evaluation boundary values ​​of the support system.

[0052] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0053] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in or transmitted through a computer-readable storage medium. The computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic cable, digital cable) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data processing device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive), etc.

[0054] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for selecting and optimizing slope protection systems in power engineering, characterized in that, Includes the following processes: Obtain relevant slope data; The original slope assessment value is calculated based on the obtained slope-related data. The original slope assessment value is compared with the initial selection boundary value of the support system. The preliminary selection of the support structure is determined based on the comparison results. A three-dimensional finite element model of the slope was established, and corresponding monitoring points were set in the three-dimensional finite element model. The maximum internal force coefficient of the support structure and the slope support evaluation value were calculated based on the monitoring data of the monitoring points. Obtain expert scores for the preliminary selection of the support structure; Based on the preliminary selection of the support structure, the optimal boundary value of the support system is determined, and the normalized size, normalized strength and embedment depth ratio are obtained. Based on the optimal boundary value of the support system, the normalized size, normalized strength and embedment depth ratio, the economic indicators are obtained. Set slope rainfall limits and slope seismic limits. Calculate slope selection evaluation values ​​based on the maximum internal force coefficient of the support structure, slope support evaluation values, expert scores, economic indicators, slope rainfall limits, and slope seismic limits. Optimize the slope support system selection by comparing the slope selection evaluation values ​​with the comprehensive evaluation boundary values ​​of the support system.

2. The method for selecting and optimizing slope support systems for power engineering as described in claim 1, characterized in that, The slope-related data includes at least: slope. Slope weighting coefficient Slope length L, slope length weighting coefficient Width B, Width weighting coefficient Soil parameters Soil weight coefficient Cohesion Cohesion weighting coefficient internal friction angle Internal friction angle weighting coefficient Uniaxial compressive strength Uniaxial compressive strength weighting coefficient Rock integrity parameters Rock integrity weighting coefficient .

3. The method for selecting and optimizing slope support systems for power engineering as described in claim 1, characterized in that, Original slope assessment value ,include: ； in, This is the original slope assessment value. For slope, Here, L is the slope weighting coefficient, and L is the slope length. Where B is the slope length weighting coefficient, and B is the width. This is the width weighting coefficient. For soil parameters, For soil weighting coefficients (rock, =1; soil, =0). For cohesion, This is the cohesion weighting coefficient. It is the internal friction angle. This is the internal friction angle weighting coefficient. Uniaxial compressive strength, This is the weighting coefficient for uniaxial compressive strength. For rock integrity parameters, This is the rock integrity weighting coefficient; Original slope assessment value Initial selection boundary value of support system , Compare with; when At that time, the selected support structure type was slope protection; when At that time, the selected support structure type was shotcrete anchor; when At that time, the selected support structure type was anti-slide piles; when At that time, the selected support structure type was a retaining wall.

4. The method for selecting and optimizing slope support systems for power engineering as described in claim 1, characterized in that, Maximum internal force coefficient of support structure for ； in, The maximum tensile stress of the support structure is obtained from numerical analysis. The maximum compressive stress of the support structure is obtained from numerical analysis. For compressive strength, Tensile strength; Slope protection assessment value for: ； in, This represents the horizontal displacement at the top of the slope. This is the weighting coefficient for the horizontal displacement at the top of the slope. This represents the vertical displacement at the toe of the slope. This is the vertical displacement weighting coefficient at the toe of the slope. This represents the horizontal displacement at the toe of the slope. This is the horizontal displacement weighting coefficient at the toe of the slope. This represents the vertical displacement at the toe of the slope. This is the vertical displacement weighting coefficient at the toe of the slope. The pore water pressure within the slope, This is the weighting coefficient for pore water pressure within the slope.

5. The method for selecting and optimizing slope support systems for power engineering as described in claim 1, characterized in that, Economic indicators for: ； in, To optimize the boundary value of the support system, To normalize the size, For normalized intensity, This represents the embedding depth ratio.

6. The method for selecting and optimizing slope support systems for power engineering as described in claim 1, characterized in that, Slope selection evaluation value for: ； in, For expert evaluation and scoring, The maximum internal force coefficient of the support structure. As an economic indicator, This is the slope protection assessment value. For slope rainfall limits, Seismic limits for slopes; when When necessary, the support structure should be strengthened; when At the same time, the support structure can be optimized and saved.

7. A selection and optimization system for slope protection systems in power engineering, characterized in that, include: The data acquisition unit is configured to acquire slope-related data. The preliminary selection unit is configured to: calculate the original slope evaluation value based on the acquired slope-related data, compare the original slope evaluation value with the preliminary selection boundary value of the support system, and determine the preliminary selection of the support structure based on the comparison results; The support assessment unit is configured to: establish a three-dimensional finite element model of the slope, set corresponding monitoring points in the three-dimensional finite element model, and calculate the maximum internal force coefficient of the support structure and the slope support assessment value based on the monitoring data of the monitoring points. The expert scoring unit is configured to: obtain expert scores for the preliminary selection of the support structure; The economic index calculation unit is configured to: determine the optimization boundary value of the support system based on the preliminary selection of the support structure, obtain the normalized size, normalized strength and embedment depth ratio, and obtain the economic index based on the optimization boundary value, normalized size, normalized strength and embedment depth ratio of the support system; The selection optimization unit is configured to: set slope rainfall limits and slope seismic limits; calculate slope selection evaluation values ​​based on the maximum internal force coefficient of the support structure, slope support evaluation values, expert scores, economic indicators, slope rainfall limits, and slope seismic limits; and optimize the slope support system selection based on the comparison between the slope selection evaluation values ​​and the comprehensive evaluation boundary values ​​of the support system.

8. A computer device, characterized in that, include: Processor and computer-readable storage media; A processor, adapted to execute computer programs; A computer-readable storage medium storing a computer program, which, when executed by the processor, implements the power engineering slope support system selection and optimization method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program adapted to be loaded by a processor and executed as described in any one of claims 1 to 6, the method for selecting and optimizing slope support systems for power engineering.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the power engineering slope support system selection and optimization method as described in any one of claims 1 to 6.

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