A method for evaluating the flexibility of a tower foundation under extreme rainfall conditions

Abstract

The embodiment of the application provides a tower and pole foundation toughness evaluation method under extreme rainfall conditions, and relates to the technical field of artificial intelligence. The method comprises the following steps: obtaining evaluation parameters of a target tower and pole; determining parameter weights of each evaluation parameter based on a pre-constructed hierarchical model; determining the membership degrees of each evaluation parameter based on a membership function; determining a fuzzy evaluation matrix based on the membership degrees of each evaluation parameter; performing fuzzy synthesis on the parameter weights of each evaluation parameter and the fuzzy evaluation matrix to obtain a comprehensive evaluation value; and determining the foundation toughness evaluation of the target tower and pole based on the comprehensive evaluation value. The application can comprehensively and accurately reflect the real toughness condition of the tower and pole under extreme rainfall conditions, and provides a reliable basis for ensuring the stable operation of the tower and pole in the power system under extreme weather.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of artificial intelligence technology, and more specifically, the embodiments of the present invention relate to a method for evaluating the toughness of tower foundations under extreme rainfall conditions. Background Technology

[0002] In power systems, transmission line towers are critical infrastructure, and their stable operation is essential for ensuring the reliability and security of power supply. However, extreme weather events, especially the combined effects of extreme rainfall and strong wind loads, pose severe challenges to transmission line towers and seriously threaten the stable operation of the power system.

[0003] Assessing the disaster resilience of transmission line towers is a complex and crucial task. Disaster resilience encompasses not only the stability of the tower foundation itself but also environmental factors such as geological conditions and topography, which directly affect the stress on the tower under extreme rainfall and strong wind loads. Simultaneously, the tower's vulnerability is also a significant factor; towers with different structures, materials, and design standards exhibit varying degrees of damage potential in the face of extreme weather.

[0004] However, the toughness assessment of transmission line towers faces many challenges. Traditional tower toughness assessment methods often rely on a single factor or only provide qualitative descriptions. This approach cannot comprehensively and accurately reflect the true toughness of towers under extreme rainfall conditions, and the assessment results lack scientific rigor and rationality, making it difficult to meet the precise requirements of modern power systems for assessing the disaster resistance capabilities of towers. Summary of the Invention

[0005] In this context, embodiments of the present invention aim to provide a method for evaluating the toughness of tower foundations under extreme rainfall conditions, which can comprehensively and accurately reflect the true toughness of towers under extreme rainfall conditions.

[0006] In a first aspect of the present invention, a method for assessing the toughness of a tower foundation under extreme rainfall conditions is provided, comprising: Obtain the evaluation parameters of the target tower; The parameter weights of each evaluation parameter are determined based on a pre-built hierarchical model. The membership degree of each evaluation parameter is determined based on the membership function; The fuzzy evaluation matrix is ​​determined based on the membership degree of each of the evaluation parameters; The parameter weights of each evaluation parameter and the fuzzy evaluation matrix are fuzzy synthesized to obtain a comprehensive evaluation value; The foundation toughness assessment of the target tower is determined based on the comprehensive evaluation value.

[0007] In one embodiment of this implementation, the evaluation parameters include the rock mass structure parameters, geological unit parameters, soil strength, structural surface parameters, rainfall parameters, tower load and tower recovery capacity parameters of the environment in which the target tower is located.

[0008] In one embodiment of this implementation, determining the parameter weights of each evaluation parameter based on a pre-built hierarchical model includes: The evaluation parameters are processed using a pre-built hierarchical model to obtain a comparison matrix; The optimal transfer matrix is ​​determined based on the comparison matrix. Perform a consistency transformation on the optimal transfer matrix to obtain a consistency matrix; A consistency check is performed on the consistency matrix to obtain the check result; If the test result indicates that the consistency test is passed, then the parameter weights of each evaluation parameter are determined from the consistency matrix.

[0009] In one embodiment of this implementation, if the test result indicates that the consistency test has failed, the method further includes: The process of processing each evaluation parameter using the pre-built hierarchical model to obtain the comparison matrix is ​​repeated until the test results are obtained.

[0010] In one embodiment of this implementation, the membership degree of each evaluation parameter is:

[0011] in, This represents the membership degree of the i-th evaluation parameter. .

[0012] In one embodiment of this implementation, the fuzzy evaluation matrix is: ; Where R represents the fuzzy evaluation matrix, .

[0013] In one embodiment of this implementation, the formula for calculating the comprehensive evaluation value is: ; Wherein, B represents the comprehensive evaluation value.

[0014] In a second aspect of the present invention, a computing device is provided, the computing device comprising: at least one processor, a memory, and an input / output unit; wherein the memory is used to store a computer program, and the processor is used to invoke the computer program stored in the memory to execute the method described in any one aspect.

[0015] In a third aspect of the invention, a computer-readable storage medium is provided, comprising instructions that, when executed on a computer, cause the computer to perform the method described in any one of the first aspects.

[0016] In a fourth aspect of the present invention, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described in any one of the first aspects.

[0017] The method for assessing the resilience of power tower foundations under extreme rainfall conditions, according to embodiments of the present invention, can acquire comprehensive evaluation parameters of the target tower and scientifically determine the weights of each parameter using a pre-constructed hierarchical model, fully considering the differences in the importance of different parameters in the evaluation system. Simultaneously, it accurately determines the membership degree of each evaluation parameter using a membership function, thereby constructing a reasonable fuzzy evaluation matrix. Based on this, a comprehensive evaluation value is obtained by fuzzy synthesis of the parameter weights and the fuzzy evaluation matrix, and this value is used to determine the foundation resilience assessment of the target tower. The entire evaluation process integrates multiple factors, overcoming the limitations of traditional methods that rely on single factors or qualitative descriptions. It can comprehensively and accurately reflect the true resilience of power towers under extreme rainfall conditions, providing a reliable basis for ensuring the stable operation of power towers in extreme weather. Attached Figure Description

[0018] The above and other objects, features, and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated in the drawings by way of example and not limitation, wherein: Figure 1 A flowchart illustrating a method for assessing the toughness of tower foundations under extreme rainfall conditions, provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of a tower foundation toughness assessment device under extreme rainfall conditions provided in an embodiment of the present invention; Figure 3 A schematic diagram of the structure of a medium according to an embodiment of the present invention is shown. Figure 4 A schematic diagram of the structure of a computing device according to an embodiment of the present invention is shown.

[0019] In the accompanying drawings, the same or corresponding reference numerals indicate the same or corresponding parts. Detailed Implementation

[0020] The principles and spirit of the invention will now be described with reference to several exemplary embodiments. It should be understood that these embodiments are given merely to enable those skilled in the art to better understand and implement the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided to make this disclosure more thorough and complete, and to fully convey the scope of this disclosure to those skilled in the art.

[0021] Those skilled in the art will recognize that embodiments of the present invention can be implemented as a system, apparatus, device, method, or computer program product. Therefore, this disclosure can be specifically implemented in the following forms: entirely hardware, entirely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0022] According to an embodiment of the present invention, a method for evaluating the toughness of tower foundations under extreme rainfall conditions is proposed.

[0023] It should be noted that the number of any elements in the accompanying drawings is for illustrative purposes only and not as a limitation, and any naming is for distinction only and has no limiting meaning.

[0024] The principles and spirit of the present invention will be explained in detail below with reference to several representative embodiments.

[0025] Exemplary methods The following is for reference. Figure 1 , Figure 1 This is a flowchart illustrating a method for assessing the toughness of tower foundations under extreme rainfall conditions, as provided in an embodiment of the present invention. It should be noted that the embodiments of the present invention can be applied to any applicable scenario.

[0026] Figure 1 The flowchart of a method for assessing the toughness of tower foundations under extreme rainfall conditions, as shown in an embodiment of the present invention, includes: Step S101: Obtain the evaluation parameters of the target tower.

[0027] In this embodiment of the application, the evaluation parameters include the rock mass structure parameters, geological unit parameters, soil strength, structural surface parameters, rainfall parameters, tower load and tower recovery capacity parameters of the environment in which the target tower is located.

[0028] This method for assessing the toughness of power tower foundations under extreme rainfall conditions employs highly comprehensive and targeted evaluation parameters. These parameters cover the rock mass structure parameters, geological unit parameters, soil strength, and structural surface parameters of the target tower's environment. These parameters deeply characterize the geological environment of the tower and accurately reflect the potential impact of geological conditions on the stability of the tower foundation. Rainfall parameters are also included, fully considering the impact of extreme rainfall as a key factor on the tower. Furthermore, the method incorporates the tower's own load and recovery capacity parameters, considering multiple dimensions such as the tower's load-bearing capacity and recovery potential after damage. By integrating these rich and crucial evaluation parameters, a comprehensive and in-depth analysis of various factors affecting the toughness of power towers under extreme rainfall conditions can be achieved. This allows for a comprehensive and accurate reflection of the tower's true toughness under extreme rainfall conditions, providing a scientific and reliable assessment basis for the disaster-resistant design and maintenance of power towers, and effectively improving the operational safety and stability of power systems under extreme weather conditions.

[0029] In this embodiment, after obtaining the evaluation parameters of the target tower, the range standardization method is needed to eliminate the influence of different dimensions of influencing factors on the prediction results. This application proposes to use a normalization formula to eliminate the influence of different dimensions of influencing factors on the final result. The formula is as follows:

[0030] in: For evaluation parameters Maximum value; For evaluation parameters Minimum value; These are the dimensionless evaluation parameters.

[0031] In this embodiment, finite element model simulation analysis of the tower foundation-soil interaction under different extreme rainfall and flood disasters is conducted to obtain the influence of different factors on the toughness of transmission towers. Since there are correlations between different factors, two or more factors can be combined and processed to construct a multi-level, multi-objective evaluation index system. Simultaneously, the selection criteria for evaluation indicators are determined by the weight values ​​of the evaluation indicators. Because the damage to transmission line towers is mainly caused by rainfall-induced engineering geological disasters, the rock mass structural unit type is selected as the maximum indicator, and engineering disturbance as the minimum indicator. Among these, the geological unit type, soil strength, structural surface combination, and meteorological conditions such as rainfall play a controlling role in the stability of the pile-soil structure; therefore, their index weight values ​​should be higher than other evaluation indicators. The index weight values ​​of tower load and recovery capacity are roughly equal and should all be considered when conducting toughness assessments.

[0032] Based on the principles for constructing an indicator system, we plan to build an indicator system for evaluating the stability of transmission line towers under extreme rainfall conditions, comprising 4 primary indicators and 12 secondary indicators. Specifically: 1) Meteorological elements: duration of rainfall, rainfall intensity, and wind speed; 2) Tower elements: load magnitude, foundation type, relative position; 3) Geological elements: geomorphological data, geological structure, soil type; 4) Recovery capabilities: repair time, repair method, and repair resources.

[0033] Step S102: Determine the parameter weights of each evaluation parameter based on the pre-built hierarchical model.

[0034] In this embodiment of the application, a hierarchical model can be constructed using a hierarchical analysis method. The hierarchical model consists of a target layer, a criterion layer, and a solution layer, as follows: ① The target layer is used to clarify the ultimate goal of the entire analysis model, namely, to comprehensively evaluate the disaster resilience of transmission towers under different disaster modes, and to provide a scientific basis for improving the stability and reliability of transmission towers.

[0035] ② The criterion layer is a crucial link in achieving the objective, consisting of multiple evaluation criteria. Among them, factors with high weight values, such as rock mass structural unit type, geological unit type, soil strength, structural surface combination, and meteorological conditions such as rainfall, constitute the main criteria, playing a controlling role in the stability of pile-soil structures. Although factors such as tower load and recovery capacity have relatively smaller weight values, they are also included as important criteria to ensure the comprehensiveness of the evaluation.

[0036] ③ The solution layer consists of specific solutions and measures proposed for each evaluation criterion in the criteria layer.

[0037] For different rock mass structural unit types, a suitable tower foundation design scheme can be determined through detailed geological surveys and analysis to adapt to different rock mass structures.

[0038] For geological unit types and soil strength, advanced geotechnical testing techniques can be used to accurately assess the mechanical properties of the soil, providing a basis for the design and construction of tower foundations.

[0039] In terms of structural surface combination, a combination of numerical simulation and engineering experience is used to optimize the layout and structural form of tower foundations and improve their disaster resistance.

[0040] For meteorological conditions such as rainfall, effective drainage systems and protective measures can be set up to reduce the impact of meteorological disasters on the towers.

[0041] For tower loads, perform precise load calculations and analyses to ensure that the tower structure can withstand loads under various working conditions.

[0042] Regarding recovery capabilities, it is essential to develop reasonable emergency plans and maintenance programs to improve the speed and effectiveness of power transmission tower recovery after extreme rainfall and flooding.

[0043] By organically combining the target layer, criterion layer, and scheme layer, a scientific and systematic structural analysis model is constructed, providing strong support for the evaluation and optimization of the disaster resilience of transmission towers.

[0044] As an optional implementation, step S102, which determines the parameter weights of each evaluation parameter based on a pre-built hierarchical model, may include: The evaluation parameters are processed using a pre-built hierarchical model to obtain a comparison matrix; The optimal transfer matrix is ​​determined based on the comparison matrix. Perform a consistency transformation on the optimal transfer matrix to obtain a consistency matrix; A consistency check is performed on the consistency matrix to obtain the check result; If the test result indicates that the consistency test is passed, then the parameter weights of each evaluation parameter are determined from the consistency matrix; If the test result indicates that the consistency test has failed, then the process of processing each evaluation parameter using the pre-built hierarchical model to obtain the comparison matrix is ​​executed again, until the test result is obtained.

[0045] This implementation method uses a pre-constructed hierarchical model to process each evaluation parameter and generate a comparison matrix, providing a scientific framework for the quantitative analysis of the relative importance of parameters. This determines the optimal transfer matrix, effectively optimizing the accuracy and rationality of parameter relationship transfer. A consistency transformation is performed on the optimal transfer matrix to obtain a consistency matrix, and a consistency check is conducted. This series of rigorous steps ensures that the obtained parameter weights truly and objectively reflect the relative importance of each evaluation parameter in the overall assessment system. If the check fails, the process is repeated until it passes, minimizing assessment bias caused by unreasonable weights. Finally, the parameter weights are determined from the consistency matrix that passes the check. This ensures that the entire assessment process is based on a scientific and reasonable weight allocation, comprehensively and accurately considering the impact of each evaluation parameter on the toughness of the tower foundation. This comprehensively and accurately reflects the true toughness of the tower under extreme rainfall conditions, providing solid and reliable technical support for the safety assessment and maintenance decisions of towers in power systems.

[0046] The construction of the judgment matrix requires converting the comparison matrix and the optimal transfer matrix into a consistency matrix. Traditional analytic hierarchy process (AHP) decomposes the target problem into several factors, combining them according to their mutual influence and hierarchical relationship with the target problem to form a hierarchical structure model. However, the pairwise comparison of factors using the "1-9" scaling method is too complex, difficult to distinguish, and the consistency test is challenging. Furthermore, the weight values ​​are easily influenced by human subjectivity, affecting the rationality and accuracy of the evaluation results. The "3" scaling method (-1, 0, 1) simplifies the comparison form between factors, reduces dependence on subjective factors, and converts the optimal transfer matrix into a judgment matrix, avoiding the consistency test process and making the calculation simpler and faster. Therefore, this project uses the improved AHP method with the "3" scaling method to construct the judgment matrix. The specific implementation process is as follows: First, the theoretical form of the "3" scale method is given, as shown in the equation:

[0047] In the formula: Indicator Factors With factors The degree of importance of comparison; Indicator Factors Importance level than factors powerful; Indicator Factors Importance and factors Consistent; Indicator Factors Importance level than factors Weak. The importance of each factor is quantified and assigned a value, forming a comparison matrix A, as shown in the equation:

[0048] In the formula: ; n is the order of the judgment matrix.

[0049] ① The factors in the optimal transfer matrix O are obtained by the following formula. :

[0050] In the formula: , and To compare the factors in matrix A; .

[0051] ② According to the function The optimal transfer matrix O is transformed into a consistency matrix U, as shown in the equation:

[0052] In the formula: These are the factors in the consistency matrix U.

[0053] ③ After construction, the individual ordering and consistency of dimensions need to be checked. If the check passes, the feature vector is the weight; if it fails, the pairwise comparison matrix needs to be reconstructed.

[0054] ④ Check the total dimension ranking and consistency test as follows:

[0055] In this test, CR must be less than 1 for the consistency check to be considered passed.

[0056] Step S103: Determine the membership degree of each evaluation parameter based on the membership function.

[0057] In this embodiment of the application, the membership degree of each evaluation parameter is:

[0058] in, This represents the membership degree of the i-th evaluation parameter. .

[0059] Step S104: Determine the fuzzy evaluation matrix based on the membership degree of each evaluation parameter.

[0060] In this embodiment of the application, the fuzzy evaluation matrix is: ; Where R represents the fuzzy evaluation matrix, .

[0061] Step S105: Perform fuzzy synthesis on the parameter weights of each evaluation parameter and the fuzzy evaluation matrix to obtain a comprehensive evaluation value.

[0062] In this embodiment of the application, the formula for calculating the comprehensive evaluation value is as follows: ; Wherein, B represents the comprehensive evaluation value.

[0063] Step S106: Determine the foundation toughness assessment of the target tower based on the comprehensive evaluation value.

[0064] In this embodiment, the membership degree of the evaluation index is determined by a combination of single-factor stability level classification, membership function and Defield method, and combined with the determined weight vector, fuzzy synthesis calculation is performed according to the formula, and the final evaluation result is obtained according to the principle of maximum membership degree.

[0065] Based on the above evaluation methods, the key components of the tower foundation toughness prediction model architecture are determined as follows: indicator weight analysis and determination, stability level classification and membership degree determination, and fuzzy comprehensive evaluation.

[0066] This invention can comprehensively and accurately reflect the true toughness of power towers under extreme rainfall conditions, providing a reliable basis for ensuring the stable operation of power towers in extreme weather.

[0067] Exemplary device After introducing the method of exemplary embodiments of the present invention, the following references are made. Figure 2 An exemplary embodiment of the present invention describes a device for evaluating the toughness of a tower foundation under extreme rainfall conditions. The device includes: Acquisition unit 201 is used to acquire the evaluation parameters of the target tower. The first determining unit 202 is used to determine the parameter weights of each evaluation parameter based on a pre-built hierarchical model; The second determining unit 203 is used to determine the membership degree of each evaluation parameter based on the membership function; The third determining unit 204 is used to determine the fuzzy evaluation matrix based on the membership degree of each evaluation parameter; The synthesis unit 205 is used to perform fuzzy synthesis on the parameter weights of each evaluation parameter and the fuzzy evaluation matrix to obtain a comprehensive evaluation value. The fourth determining unit 206 is used to determine the foundation toughness assessment of the target tower based on the comprehensive evaluation value.

[0068] This invention can comprehensively and accurately reflect the true toughness of power towers under extreme rainfall conditions, providing a reliable basis for ensuring the stable operation of power towers in extreme weather.

[0069] Exemplary media After introducing the methods and apparatus of exemplary embodiments of the present invention, the following references are made. Figure 3 A computer-readable storage medium according to exemplary embodiments of the present invention will be described, please refer to... Figure 3The computer-readable storage medium shown is an optical disc 30, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it implements the steps described in the above method implementation, such as: obtaining the evaluation parameters of the target tower; determining the parameter weights of each evaluation parameter based on a pre-constructed hierarchical model; determining the membership degree of each evaluation parameter based on a membership function; determining a fuzzy evaluation matrix based on the membership degree of each evaluation parameter; performing fuzzy synthesis on the parameter weights of each evaluation parameter and the fuzzy evaluation matrix to obtain a comprehensive evaluation value; and determining the foundation toughness assessment of the target tower based on the comprehensive evaluation value. The specific implementation methods of each step will not be repeated here.

[0070] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media, which will not be elaborated here.

[0071] Exemplary computing device After introducing the methods, apparatus, and media of exemplary embodiments of the present invention, the following references are made. Figure 4 A computational device for evaluating the toughness of tower foundations under extreme rainfall conditions, according to an exemplary embodiment of the present invention.

[0072] Figure 4 A block diagram is shown of an exemplary computing device 40 suitable for implementing embodiments of the present invention. The computing device 40 may be a computer system or a server. Figure 4 The computing device 40 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0073] like Figure 4 As shown, the components of computing device 40 may include, but are not limited to: one or more processors or processing units 401, system memory 402, and bus 403 connecting different system components (including system memory 402 and processing unit 401).

[0074] The computing device 40 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computing device 40, including volatile and non-volatile media, and removable and non-removable media.

[0075] System memory 402 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 4021 and / or cache memory 4022. Computing device 40 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, ROM 4023 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 4 (Not shown in the image, usually referred to as "hard drive"). Although not shown in... Figure 4 The diagram illustrates that disk drives for reading and writing to removable non-volatile disks (e.g., "floppy disks") and optical disc drives for reading and writing to removable non-volatile optical discs (e.g., CD-ROMs, DVD-ROMs, or other optical media) can be provided. In these cases, each drive can be connected to bus 403 via one or more data media interfaces. System memory 402 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0076] A program / utility 4025 having a set (at least one) of program modules 4024 may be stored, for example, in system memory 402, and such program modules 4024 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment. Program modules 4024 typically perform the functions and / or methods described in the embodiments of the present invention.

[0077] The computing device 40 can also communicate with one or more external devices 404 (such as a keyboard, pointing device, display, etc.). This communication can be performed via the input / output (I / O) interface 405. Furthermore, the computing device 40 can also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 406. Figure 4 As shown, network adapter 406 communicates with other modules of computing device 40 (such as processing unit 401) via bus 403. It should be understood that, although... Figure 4 As not shown, it can be used in conjunction with computing device 40 with other hardware and / or software modules.

[0078] The processing unit 401 executes various functional applications and data processing by running programs stored in the system memory 402. For example, it acquires evaluation parameters of the target tower; determines the parameter weights of each evaluation parameter based on a pre-built hierarchical model; determines the membership degree of each evaluation parameter based on a membership function; determines a fuzzy evaluation matrix based on the membership degree of each evaluation parameter; performs fuzzy synthesis on the parameter weights of each evaluation parameter and the fuzzy evaluation matrix to obtain a comprehensive evaluation value; and determines the foundation toughness assessment of the target tower based on the comprehensive evaluation value. The specific implementation methods of each step will not be repeated here. It should be noted that although several units / modules or sub-units / sub-modules of the tower foundation toughness assessment device under extreme rainfall conditions are mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of the present invention, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided into multiple units / modules for embodiment.

[0079] In the description of this invention, it should be noted that the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0080] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0081] In the several embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0082] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0083] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0084] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0085] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0086] Furthermore, although the operations of the method of the present invention are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all of the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0087] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

Claims

1. A method for assessing the toughness of tower foundations under extreme rainfall conditions, characterized in that, The method includes: Obtain the evaluation parameters of the target tower; The parameter weights of each evaluation parameter are determined based on a pre-built hierarchical model. The membership degree of each evaluation parameter is determined based on the membership function; The fuzzy evaluation matrix is ​​determined based on the membership degree of each of the evaluation parameters; The parameter weights of each evaluation parameter and the fuzzy evaluation matrix are fuzzy synthesized to obtain a comprehensive evaluation value; The foundation toughness assessment of the target tower is determined based on the comprehensive evaluation value.

2. The method for evaluating the toughness of tower foundations under extreme rainfall conditions according to claim 1, characterized in that, The evaluation parameters include the rock mass structure parameters, geological unit parameters, soil strength, structural surface parameters, rainfall parameters, tower load and tower recovery capacity parameters of the environment in which the target tower is located.

3. The method for evaluating the toughness of tower foundations under extreme rainfall conditions according to claim 2, characterized in that, The determination of parameter weights for each evaluation parameter based on a pre-built hierarchical model includes: The evaluation parameters are processed using a pre-built hierarchical model to obtain a comparison matrix; The optimal transfer matrix is ​​determined based on the comparison matrix. Perform a consistency transformation on the optimal transfer matrix to obtain a consistency matrix; Perform a consistency check on the consistency matrix to obtain the check result; If the test result indicates that the consistency test is passed, then the parameter weights of each evaluation parameter are determined from the consistency matrix.

4. The method for evaluating the toughness of tower foundations under extreme rainfall conditions according to claim 3, characterized in that, If the test result indicates that the consistency test has failed, the method further includes: The process of processing each evaluation parameter using the pre-built hierarchical model to obtain the comparison matrix is ​​repeated until the test results are obtained.

5. The method for evaluating the toughness of tower foundations under extreme rainfall conditions according to claim 1, characterized in that, The membership degree of each evaluation parameter is: ； in, This represents the membership degree of the i-th evaluation parameter. .

6. The method for evaluating the toughness of tower foundations under extreme rainfall conditions according to claim 5, characterized in that, The fuzzy evaluation matrix is: ； Where R represents the fuzzy evaluation matrix, .

7. The method for evaluating the toughness of tower foundations under extreme rainfall conditions according to claim 6, characterized in that, The formula for calculating the comprehensive evaluation value is as follows: ； Wherein, B represents the comprehensive evaluation value.

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