Evaluation method and device of photovoltaic support model, medium and program product

Abstract

The invention provides an evaluation method and device of a photovoltaic support model, a medium and a program product, and relates to the field of photovoltaic technology, and the method comprises the steps: setting a meteorological environment set according to a pre-established initial multi-physics coupling model; under each first meteorological environment of the meteorological environment set, performing first coupling analysis on interaction of the support structure data by using the initial multi-physics field coupling model to obtain a target multi-physics field coupling model; performing second coupling analysis on the interaction of the photovoltaic bracket in the second meteorological environment by using the target multi-physics field coupling model to obtain a target coupling analysis result; and evaluating a target model of the photovoltaic support in the second meteorological environment according to the target coupling analysis result. The technical problem that the evaluation accuracy of the coupling performance of the photovoltaic support in diversified extreme weather scenes is low in the prior art is solved, and the technical effect of improving the evaluation accuracy of the coupling performance of the photovoltaic support in diversified extreme weather scenes is achieved.

Description

Technical Field

[0001] This application relates to the field of photovoltaic technology, and particularly to a method, device, medium, and program product for evaluating a photovoltaic support model. Background Art

[0002] With the continuous increase in the global demand for clean energy, the construction scale of solar photovoltaic power stations is expanding at an unprecedented rate. As the core component for supporting and fixing photovoltaic modules, the scientific and reasonable design of the photovoltaic support plays a crucial role in ensuring the long-term and efficient operation of solar photovoltaic power stations and achieving considerable economic benefits. In view of this, the industry is actively committed to researching and developing more advanced evaluation methods and technical frameworks, aiming to continuously improve the design accuracy and operation and maintenance management level of photovoltaic support models, thereby promoting the progress and development of the entire industry.

[0003] In related technologies, the evaluation of the safety and stability of photovoltaic supports often relies on the accumulation of manual experience and static calculation analysis, that is, mainly relying on the experience judgment of engineers and static mechanical analysis under some ideal conditions. However, in the face of complex and variable extreme weather scenarios such as strong winds, heavy snow, extreme high temperatures, or extreme low temperatures, it is difficult to comprehensively and accurately capture and evaluate the actual response and performance of photovoltaic supports under extreme stresses, which may lead to the inability to accurately evaluate the coupling performance of photovoltaic supports in diverse extreme weather scenarios.

[0004] However, when evaluating photovoltaic supports using the above traditional methods, due to the complexity of extreme weather, it is difficult to comprehensively and accurately capture the actual response and performance characteristics of photovoltaic supports under extreme stress conditions. This limitation makes it difficult to identify and effectively respond to potential structural safety risks in a timely manner, resulting in a low accuracy rate for evaluating the coupling performance of photovoltaic supports in diverse extreme weather scenarios in related technologies. Summary of the Invention

[0005] This application provides a method, device, medium, and program product for evaluating a photovoltaic support model, which is used to improve the accuracy rate of evaluating the coupling performance of photovoltaic supports in diverse extreme weather scenarios.

[0006] In a first aspect, the present application provides a method for evaluating a photovoltaic support model, which is applied to the above-mentioned electronic device. The method includes: setting a meteorological environment set according to a pre-established initial multi-physical field coupling model, where the meteorological environment set includes different extreme meteorological environments, and the initial multi-physical field coupling model is a digital twin model of the interaction of multiple physical fields; sequentially performing a first coupling analysis on the interaction of the pre-acquired support structure data in the corresponding first meteorological environment in each first meteorological environment included in the meteorological environment set by using the initial multi-physical field coupling model, so as to obtain a target multi-physical field coupling model, where the support structure data includes the structural characteristic information of the photovoltaic support; performing a second coupling analysis on the interaction of the photovoltaic support in the second meteorological environment by using the target multi-physical field coupling model, so as to obtain a target coupling analysis result, where the second meteorological environment is the actual meteorological environment in which the photovoltaic support is currently located; evaluating the target model of the photovoltaic support in the second meteorological environment according to the target coupling analysis result.

[0007] By adopting the above technical solution, the meteorological environment set of various extreme meteorological environments can provide a comprehensive test scenario for subsequent analysis. By using the initial multi-physical field coupling model and combining the support structure data, a first coupling analysis is performed under different meteorological environments to analyze the multi-physical field interaction of the photovoltaic support under different extreme meteorological environments, so as to obtain a more accurate target multi-physical field coupling model. Through the second coupling analysis of the target multi-physical field coupling model in the second meteorological environment, the multi-physical field coupling performance of the photovoltaic support in the actual meteorological environment can be accurately predicted, thus providing more accurate key data for the evaluation of the target model. Furthermore, the technical problem of low evaluation accuracy of the coupling performance of the photovoltaic support in diverse extreme weather scenarios in the related art is solved, and the technical effect of the evaluation accuracy of the coupling performance of the photovoltaic support in diverse extreme weather scenarios is achieved.

[0008] Optionally, under each first meteorological environment included in the meteorological environment set in sequence, perform a first coupling analysis on the interaction of the pre-acquired support structure data under the corresponding first meteorological environment by using the initial multi-physical field coupling model, so as to obtain a target multi-physical field coupling model, specifically including: obtaining the historical geographical data of the photovoltaic support; inputting the historical geographical data and the support structure data into the initial multi-physical field coupling model; obtaining the first coupling analysis results output by the initial multi-physical field coupling model after performing the first coupling analysis on the support structure data and the historical geographical data under each first meteorological environment, so as to obtain a first coupling analysis result set, where the first coupling analysis result set includes the thermal-mechanical coupling performance, thermal-vibration coupling performance, force-vibration coupling performance, vibration-foundation coupling performance of the photovoltaic support under the meteorological environment set, the thermal-mechanical coupling performance characterizes the structural response performance of the photovoltaic support under the combined action of the thermal stress generated by the material thermal expansion and contraction effect and the static / dynamic mechanical load in the temperature change environment, the thermal-vibration coupling performance characterizes the structural vibration characteristics of the photovoltaic support caused by the thermal stress generated by the material thermal expansion and contraction effect in the temperature change environment, the force-vibration coupling performance characterizes the comprehensive performance of the structural dynamics behavior and energy transfer characteristics of the photovoltaic support when subjected to dynamic loads, and the vibration-foundation coupling performance characterizes the interaction performance between the photovoltaic support and the foundation during the vibration process; perform an optimization analysis operation on the initial multi-physical field coupling model according to the first coupling analysis result set to obtain a target multi-physical field coupling model.

[0009] By adopting the above technical solution, inputting the historical geographical data and the support structure data into the initial multi-physical field coupling model can provide a basic analysis basis for the initial multi-physical field coupling model. The initial multi-physical field coupling model performs a first coupling analysis under various extreme meteorological environments, and the output first coupling analysis result set can comprehensively reflect the performance of the photovoltaic support under the interaction of different physical fields. Through in-depth research and optimization of the initial multi-physical field coupling model by the first coupling analysis result set, a more accurate and reliable target multi-physical field coupling model can be obtained, thereby providing a solid foundation for the subsequent coupling analysis under the actual meteorological environment.

[0010] Optionally, obtain the first coupling analysis results output after the initial multi-physical field coupling model performs coupling analysis on the support structure data and historical geographical data under each first meteorological environment, so as to obtain a set of first coupling analysis results, specifically including: in the case where the third meteorological environment is a strong wind meteorological environment, use the initial multi-physical field coupling model to perform the first force-vibration coupling analysis and the first vibration-foundation coupling analysis on the support structure data, strong wind meteorological data, and first foundation data, where the meteorological environment set includes the third meteorological environment, the strong wind meteorological data is the first meteorological information preset in the initial multi-physical field coupling model, the first foundation data includes the first soil conditions, foundation bearing capacity, and foundation deformation characteristics at the historical location of the photovoltaic support, the historical geographical data includes the first foundation data, and the coupling analysis includes the first force-vibration coupling analysis and the first vibration-foundation coupling analysis; obtain the structural dynamic response characteristics, energy transfer and dissipation characteristics output after the initial multi-physical field coupling model performs the first force-vibration coupling analysis, and obtain the distribution and magnitude of the foundation reaction force, foundation deformation mode and settlement amount, and dynamic response characteristics under the interaction between the foundation and the support structure output after the initial multi-physical field coupling model performs the first vibration-foundation coupling analysis, where the force-vibration coupling performance includes the structural dynamic response characteristics and energy transfer and dissipation characteristics, and the vibration-foundation coupling performance includes the distribution and magnitude of the foundation reaction force, foundation deformation mode and settlement amount, and dynamic response characteristics under the interaction between the foundation and the support structure.

[0011] By adopting the above technical solutions, in a strong wind environment, the initial multi-physical field coupling model performs the first force-vibration coupling performance analysis and the first vibration-foundation coupling performance analysis, which can simulate the dynamic response of the photovoltaic support and the interaction of the foundation under the action of strong wind, output the structural dynamic response characteristics and energy transfer and dissipation characteristics of the photovoltaic support, and can deeply understand the dynamic behavior of the photovoltaic support under strong wind, providing key data for evaluating the stability and safety of the photovoltaic support under strong wind, and further ensuring the accuracy and reliability of the model under extreme wind load conditions.

[0012] Optionally, obtain the first coupling analysis results output after the initial multi-physical field coupling model performs coupling analysis on the support structure data and historical geographical data under each first meteorological environment, so as to obtain a set of first coupling analysis results, specifically including: in the case where the fourth meteorological environment is a high-temperature meteorological environment, use the initial multi-physical field coupling model to perform the first thermal-mechanical coupling analysis and the first thermal-vibration coupling analysis on the support structure data, high-temperature meteorological data, and second foundation data. Among them, the meteorological environment set includes the fourth meteorological environment, the high-temperature meteorological data is the second meteorological information preset in the initial multi-physical field coupling model, the second foundation data includes the second soil conditions at the historical location of the photovoltaic support, the thermal stability characteristics of the foundation material, and the heat conduction characteristics between the foundation and the support structure, and the historical geographical data includes the second foundation data; obtain the first thermal stress distribution characteristics, the first support structure deformation amount characteristics, and the thermal expansion characteristics of key components output after the initial multi-physical field coupling model performs the first thermal-mechanical coupling analysis, and obtain the first natural vibration characteristics and the first support dynamic response characteristics output after the initial multi-physical field coupling model performs the first thermal-vibration coupling analysis. Among them, the thermal-mechanical coupling performance includes the first thermal stress distribution characteristics, the first support structure deformation amount characteristics, and the thermal expansion characteristics of key components, and the thermal-vibration coupling performance includes the first natural vibration characteristics and the first support dynamic response characteristics.

[0013] By adopting the above technical solution, in a high-temperature meteorological environment, the initial multi-physical field coupling model can simulate the thermal stress distribution, structural deformation characteristics, and vibration characteristics generated by the photovoltaic support due to temperature changes. The thermal stress distribution and the deformation characteristics of the support structure can directly reflect the bearing capacity of the photovoltaic support in a high-temperature meteorological environment. Through the first thermal-mechanical coupling analysis, the structural stability and thermal expansion effect of the photovoltaic support in a high-temperature meteorological environment can be evaluated. Through the first thermal-vibration coupling analysis, the vibration mode and dynamic response characteristics of the photovoltaic support in a high-temperature meteorological environment can be understood. Furthermore, the long-term operation performance and safety of the support in a high-temperature meteorological environment can be evaluated more accurately and comprehensively.

[0014] Optionally, obtain the first coupling analysis results output after the initial multi-physical field coupling model performs coupling analysis on the support structure data and historical geographical data under each first meteorological environment, so as to obtain a set of first coupling analysis results, specifically including: when the fifth meteorological environment is a low-temperature meteorological environment, use the initial multi-physical field coupling model to perform a second thermal-mechanical coupling analysis and a second vibration-foundation coupling analysis on the support structure data, low-temperature meteorological data, and third foundation data, where the meteorological environment set includes the fifth meteorological environment, the low-temperature meteorological data is the pre-set third meteorological information in the initial multi-physical field coupling model, the third foundation data includes the third soil conditions, groundwater level characteristics, historical foundation settlement characteristics, and foundation structure characteristics of the location where the photovoltaic support has been located, and the historical geographical data includes the third foundation data; obtain the second thermal stress distribution characteristics, second support structure deformation characteristics, and support material property change characteristics output after the initial multi-physical field coupling model performs the second thermal-mechanical coupling analysis, and obtain the second natural vibration characteristics and second support dynamic response characteristics output after the initial multi-physical field coupling model performs the second vibration-foundation coupling analysis, where the thermal-mechanical coupling performance includes the second thermal stress distribution characteristics, second support structure deformation characteristics, and support material property change characteristics, and the vibration-foundation coupling performance includes the second natural vibration characteristics and second support dynamic response characteristics.

[0015] By adopting the above technical solution, in a low-temperature meteorological environment, the initial multi-physical field coupling model can simulate the thermal stress distribution, structural deformation characteristics, and foundation interaction generated by the photovoltaic support due to temperature changes. Different from the high-temperature meteorological environment, the low-temperature meteorological environment may cause changes in material properties. For example, the brittleness increases, etc. Through the second thermal-mechanical coupling analysis, the change in material properties and structural stability of the photovoltaic support in a low-temperature meteorological environment can be evaluated. Through the second vibration-foundation coupling analysis, the vibration characteristics of the photovoltaic support and the dynamic response of the foundation in a low-temperature meteorological environment can be deeply understood. Furthermore, the performance differences of the support under different temperature conditions can be more comprehensively understood.

[0016] Optionally, use the target multi-physical field coupling model to perform a second coupling analysis on the interaction of the photovoltaic support in the second meteorological environment to obtain the target coupling analysis results, specifically including: when it is determined that the photovoltaic support is actually in the second meteorological environment, use the target multi-physical field coupling model to collect actual meteorological data and the actual foundation data of the photovoltaic support; use the target multi-physical field coupling model to perform a second coupling analysis on the set of historical coupling analysis results, support structure data, actual meteorological data, and actual foundation data to obtain the target coupling analysis results, where the set of historical coupling analysis results includes the set of first coupling analysis results.

[0017] By adopting the above technical solution, in the actual meteorological environment, the target multi-physical field coupling model can collect actual meteorological data and foundation data of the photovoltaic support in real time, and conduct a second coupling analysis in combination with the historical coupling analysis result set and the support structure data. It can not only fully consider the complexity and variability of the actual meteorological environment, but also ensure that the target multi-physical field coupling model can accurately reflect the performance changes of the photovoltaic support in the actual meteorological environment, thereby providing strong support for evaluating the performance of the photovoltaic support in the actual meteorological environment.

[0018] Optionally, evaluating the target model of the photovoltaic support in the second meteorological environment according to the target coupling analysis result specifically includes: extracting the target coupling performance of the key parts from the target coupling analysis result; comparing the target coupling performance with the standard coupling performance set to obtain the performance difference analysis result, where the standard coupling performance set is a set of standard coupling performances set by the target multi-physical field coupling model according to the historical coupling analysis result set; determining the risk parts from the key parts according to the performance difference analysis result, where the risk parts are the areas with extreme stress concentration in the key parts in the second meteorological environment; and evaluating the target model of the photovoltaic support in the second meteorological environment according to the performance difference analysis result and the risk parts.

[0019] By adopting the above technical solution, the target coupling performance of the key parts is extracted from the target coupling analysis result, and the target coupling performance is compared with the standard coupling performance set, which can intuitively reflect the performance difference between the photovoltaic support in the actual meteorological environment and the expected standard performance. By deeply analyzing the performance difference (i.e., the performance difference analysis result), the risk parts with extreme stress concentration areas can be determined, and these risk parts may fail or be damaged in the extreme meteorological environment. According to the performance difference and the risk parts, the target model of the photovoltaic support in the actual meteorological environment can be comprehensively evaluated, which can not only more comprehensively understand the performance of the photovoltaic support in the actual environment, but also more accurately optimize the photovoltaic support model (i.e., the target model) in different extreme meteorological environments, further improving the accuracy and reliability of the photovoltaic support model evaluation.

[0020] In a second aspect, an embodiment of the present application provides an electronic device, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code, and the computer program code includes computer instructions. The one or more processors call the computer instructions to cause the electronic device to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product including instructions. When the computer program product runs on an electronic device, the electronic device is caused to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium including instructions. When the instructions run on an electronic device, the electronic device is caused to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0023] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. For the photovoltaic support model evaluation method provided in the present application, the meteorological environment set of various extreme meteorological environments can provide a comprehensive test scenario for subsequent analysis. By using the initial multi-physical field coupling model and combining the support structure data, a first coupling analysis is performed under different meteorological environments to analyze the multi-physical field interaction of the photovoltaic support under different extreme meteorological environments, so that a more accurate target multi-physical field coupling model can be obtained. Through the second coupling analysis of the target multi-physical field coupling model under the second meteorological environment, the multi-physical field coupling performance of the photovoltaic support under the actual meteorological environment can be accurately predicted, thereby providing more accurate key data for the evaluation of the target model. Furthermore, the technical problem of low evaluation accuracy of the coupling performance of the photovoltaic support in diverse extreme weather scenarios in the related art is solved, and the technical effect of the evaluation accuracy of the coupling performance of the photovoltaic support in diverse extreme weather scenarios is achieved.

[0024] 2. For the photovoltaic support model evaluation method provided in the present application, inputting historical geographical data and support structure data into the initial multi-physical field coupling model can provide a basic analysis basis for the initial multi-physical field coupling model. The initial multi-physical field coupling model performs a first coupling analysis under various extreme meteorological environments, and the set of first coupling analysis results output can comprehensively reflect the performance of the photovoltaic support under the interaction of different physical fields. Through in-depth research and optimization of the initial multi-physical field coupling model based on the set of first coupling analysis results, a more accurate and reliable target multi-physical field coupling model can be obtained, thereby providing a solid foundation for the subsequent coupling analysis under the actual meteorological environment.

[0025] 3. The evaluation method of the photovoltaic support model provided by this application, under strong wind environment, conducts the first force-vibration coupling performance analysis and the first vibration-foundation coupling performance analysis on the initial multi-physical field coupling model, can simulate the dynamic response of the photovoltaic support and the interaction with the foundation under the action of strong wind, output the structural dynamic response characteristics, energy transfer and dissipation characteristics of the photovoltaic support, can deeply understand the dynamic behavior of the photovoltaic support under strong wind, provide key data for evaluating the stability and safety of the photovoltaic support under strong wind, and further ensure the accuracy and reliability of the model under extreme wind load conditions. Description of the Drawings

[0026] Figure 1 is a schematic flow chart of the evaluation method of the photovoltaic support model in the embodiment of this application; Figure 2 is a schematic structural diagram of an entity device of the electronic device in the embodiment of this application. Detailed Embodiments

[0027] The terms used in the following embodiments of this application are only for the purpose of describing specific embodiments, and are not intended to limit this application. As used in the specification and appended claims of this application, the singular forms "a", "an", "the", "above", "said", "this" are also intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in this application refers to any or all possible combinations including one or more of the listed items.

[0028] Hereinafter, the terms "first" and "second" are only for descriptive purposes, and cannot be understood as implying or suggesting relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of this application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0029] This application provides an evaluation method of a photovoltaic support model. Refer to Figure 1 , Figure 1 which is a schematic flow chart of the evaluation method of the photovoltaic support model in the embodiment of this application, and includes the following steps: Step S101, set a meteorological environment set according to the pre-established initial multi-physical field coupling model, wherein the meteorological environment set includes different extreme meteorological environments, and the initial multi-physical field coupling model is a digital twin model of the interaction of multiple physical fields; In the above embodiments, the initial multi-physical field coupling model represents a complex digital twin model. The initial multi-physical field coupling model can simulate and reflect the interaction relationships between multiple physical fields (such as, but not limited to, the structural field, temperature field, fluid field, electromagnetic field, etc.). The initial multi-physical field coupling model can be applied to the field of photovoltaic support performance evaluation to simulate and analyze the performance of photovoltaic supports under different extreme meteorological environments. The meteorological environment set is a set including a series of preset extreme meteorological environments (it should be noted that the meteorological environment set also includes conventional meteorological environments, transitional meteorological environments, composite meteorological environments, location-specific meteorological environments, etc.). The meteorological environment set is used to test the multi-physical field coupling performance of photovoltaic supports under different meteorological environments during the simulation process. The extreme meteorological environment is the specific extreme or abnormal meteorological environment in the meteorological environment set that has a significant impact on the performance of photovoltaic supports. The extreme meteorological environment includes various extreme weather conditions that photovoltaic supports may face, such as high temperature, low temperature, strong wind, heavy rain, etc. However, these are only part of the extreme meteorological environment. In fact, the extreme meteorological environment also includes many other factors, such as humidity (especially in high-humidity environments, it may cause accelerated aging of the encapsulation materials of photovoltaic modules, affecting the durability of photovoltaic supports), radiation intensity (including solar radiation and ultraviolet radiation, etc. The intensity of solar radiation may directly affect the power generation efficiency of photovoltaic supports, while ultraviolet radiation may cause aging and degradation of photovoltaic support materials), air pressure (changes in air pressure may affect the structural stability of photovoltaic supports, especially at high altitudes or under extreme climate conditions), snowfall and icing (in cold regions, snowfall and icing may impose additional loads on photovoltaic supports, affecting their structural safety), lightning (lightning activities pose a threat to the electrical safety of photovoltaic supports, which may lead to serious consequences such as equipment damage or fires), sandstorms (in areas with frequent sandstorms, sand may contaminate the surface of photovoltaic supports, affecting power generation efficiency and may accelerate material aging), haze (particles in haze may adhere to the surface of photovoltaic supports, blocking sunlight and reducing power generation efficiency), and so on.

[0030] In the above embodiments, it is usually carried out in the initial stage of photovoltaic support design or performance evaluation. At this stage, it is necessary to understand the performance of photovoltaic supports under different extreme weather conditions in order to optimize the design or ensure the reliability of photovoltaic supports in actual applications. Thus, a professional modeling software or modeling tool can be used to establish an initial multi-physical field coupling model, which can simulate the behavior of photovoltaic supports under the interaction of multiple physical fields. Then, according to actual needs, a meteorological environment set containing various extreme meteorological conditions is set to test the performance of photovoltaic supports under such conditions. In some embodiments, the step of "setting the meteorological environment set according to the pre-established initial multi-physical field coupling model" can be achieved in various ways: Optionally, in the first implementation method, historical meteorological data is collected and analyzed to determine the extreme meteorological environments that the photovoltaic support may face. Using modeling software or tools, a set of meteorological environments is set according to these extreme meteorological environments, including key parameters such as temperature, humidity, wind speed, wind direction, and radiation intensity. Each set meteorological environment is described and recorded in detail for reference and comparison during subsequent simulation processes.

[0031] Optionally, in the second implementation method, cooperate with meteorologists or climate research institutions to obtain prediction data on future climate change trends. Based on these prediction data, a set of meteorological environments containing extreme meteorological environments that may be faced in the future is set. Each meteorological environment in the set of meteorological environments is simulated and tested to evaluate the performance of the photovoltaic support under future climate change.

[0032] Optionally, in the third implementation method, according to the actual application scenarios and requirements of the photovoltaic support, a set of meteorological environments containing specific extreme meteorological environments is set. Using experimental equipment or simulators, these meteorological environments are simulated, and the performance of the photovoltaic support under these meteorological environments is tested. The set of meteorological environments is adjusted and optimized according to the test results to ensure that it can truly reflect the performance of the photovoltaic support in actual applications.

[0033] It can be understood that other methods can also be used to implement the step of "setting a set of meteorological environments according to the pre-established initial multi-physical field coupling model", which is not limited here. The key is to ensure that the set of meteorological environments can comprehensively and accurately reflect the extreme meteorological conditions that the photovoltaic support may face, so as to provide a reliable basis for subsequent simulation analysis and performance evaluation.

[0034] In step S102, in each first meteorological environment included in the set of meteorological environments in sequence, the initial multi-physical field coupling model is used to perform a first coupling analysis on the interaction of the pre-acquired support structure data under the corresponding first meteorological environment, so as to obtain a target multi-physical field coupling model, where the support structure data includes the structural characteristic information of the photovoltaic support; In the above embodiments, the first meteorological environment refers to a specific meteorological environment in the set of meteorological environments. The support structure data includes the structural characteristic information of the photovoltaic support, for example, material properties, dimensions, shapes, connection methods, etc., but is not limited thereto. These structural characteristic information are necessary for establishing the initial multi-physical field coupling model and are also the key to evaluating the performance of the photovoltaic support in subsequent coupling analysis. The first coupling analysis refers to the process in which the initial multi-physical field coupling model places the support structure data in the corresponding first meteorological environment, simulates the physical behavior of the photovoltaic support in the first meteorological environment, and evaluates its performance. The target multi-physical field coupling model is a model obtained after the first coupling analysis and can more accurately reflect the performance of the photovoltaic support in a specific meteorological environment.

[0035] In the above embodiments, an initial multi-physical field coupling model has been established and the structural data of the photovoltaic support has been collected. Next, it is necessary to place the structural data in different meteorological environments for simulation analysis to evaluate the performance of the photovoltaic support under different climate conditions. That is, each first meteorological environment is sequentially selected from the set of meteorological environments, and the support structure data is input into the initial multi-physical field coupling model. Then, the physical behavior of the photovoltaic support in each first meteorological environment is simulated in the initial multi-physical field coupling model, for example, the deformation of the structure, the distribution of temperature, the flow of fluid, etc., but is not limited thereto. Furthermore, the performance of the photovoltaic support in each first meteorological environment can be obtained, for example, load-bearing capacity, stability, durability, etc., but is not limited thereto. After the simulation analysis of all the first meteorological environments, an optimized and verified target multi-physical field coupling model can be obtained. The target multi-physical field coupling model can more accurately reflect the performance of the photovoltaic support under different climate conditions and provides strong support for subsequent design optimization and performance evaluation. In some embodiments, the step of "sequentially performing the first coupling analysis on the pre-acquired support structure data using the initial multi-physical field coupling model in each first meteorological environment included in the set of meteorological environments" can be implemented in various ways: Optionally, the first implementation method is to select a first meteorological environment from the set of meteorological environments as the current analysis environment. Input the support structure data into the initial multi-physical field coupling model and set the model parameters to match the meteorological conditions of the current analysis environment. Run the model for simulation analysis and collect and analyze the simulation results to evaluate the performance of the photovoltaic support in the current analysis environment. Repeat the above steps until the simulation analysis of all the first meteorological environments has been performed.

[0036] Optionally, the second implementation method is to use an automated script or tool to sequentially read the data of each first meteorological environment from the meteorological environment set. For each piece of meteorological environment data read, automatically adjust the parameters of the initial multi-physical field coupling model to match the meteorological conditions of the environment. Run the model in batches for simulation analysis, and collect and analyze all simulation results. Optimize and validate the initial multi-physical field coupling model according to the analysis results to obtain the target multi-physical field coupling model.

[0037] It can be understood that other methods can also be used to implement this step. For example, use high-performance computing resources for large-scale parallel simulation analysis, or combine experimental data for model validation and optimization, etc. There is no limitation here. The key is to ensure the accuracy and efficiency of the simulation analysis to obtain a reliable target multi-physical field coupling model.

[0038] Step S103, perform a second coupling analysis on the interaction of the photovoltaic support in the second meteorological environment using the target multi-physical field coupling model to obtain the target coupling analysis result, where the second meteorological environment is the actual meteorological environment where the photovoltaic support is currently located; In the above embodiment, the photovoltaic support refers to a structural system installed on the ground or a building for supporting and fixing photovoltaic modules. The second meteorological environment is used to represent the actual meteorological environment where the photovoltaic support is currently located, including but not limited to meteorological factors such as temperature, humidity, wind speed, wind direction, and irradiance; the interaction refers to the mutual influence generated by the physical field changes between the photovoltaic support and the second meteorological environment, between the photovoltaic support and the foundation, and between the components inside the photovoltaic support. The second coupling analysis refers to the coupling analysis of the interaction of the photovoltaic support in the second meteorological environment using the target multi-physical field coupling model. The target coupling analysis result is the data or conclusion of the performance of the photovoltaic support in the second meteorological environment.

[0039] In the above embodiment, first obtain the target multi-physical field coupling model that can reflect the characteristics of the photovoltaic support and its surrounding environment, and collect the actual meteorological environment data where the photovoltaic support is currently located. Use the target multi-physical field coupling model to perform a second coupling analysis on the actual meteorological environment data, that is, simulate the response of the photovoltaic support under the action of different physical fields and couple the interactions between these physical fields. The performance of the photovoltaic support in the second meteorological environment can be obtained, that is, the target coupling analysis result. In some embodiments, the step of "performing a second coupling analysis on the interaction of the photovoltaic support in the second meteorological environment using the target multi-physical field coupling model to obtain the target coupling analysis result" can be implemented in various ways: Optionally, in the first method, real-time meteorological data of the area where the photovoltaic support is located is collected, including key parameters such as temperature, humidity, wind speed, etc., which are not limited herein. The target multi-physical field coupling model is used to perform a second coupling analysis on the photovoltaic support according to the real-time meteorological data to obtain the target coupling analysis result.

[0040] Optionally, in the second method, considering the extreme weather conditions that the photovoltaic support may face, different meteorological scenarios can be set in the target multi-physical field coupling model for simulation analysis to evaluate the stability and durability of the photovoltaic support under different meteorological scenarios, including meteorological parameters in the target multi-physical field coupling model, such as increasing wind speed, decreasing temperature, etc., and then observing and analyzing the response of the target multi-physical field coupling model.

[0041] Optionally, in the third method, combining historical meteorological data and the target multi-physical field coupling model, the meteorological environment that the photovoltaic support may face in the future is predicted, and a second coupling analysis is performed based on the predicted data to achieve early discovery of potential problems and taking corresponding measures for prevention and response.

[0042] It can be understood that other methods can also be used to implement this step, such as introducing more advanced numerical simulation methods, optimizing the model structure, etc., which are not limited herein.

[0043] Step S104, evaluate the target model of the photovoltaic support in the second meteorological environment according to the target coupling analysis result.

[0044] In the above embodiments, the target model is a mathematical model or a physical model of the key characteristic performance of the photovoltaic support in a specific meteorological environment.

[0045] In the above embodiments, the evaluation objective can be clarified first. For example, is it to evaluate the structural safety, energy efficiency performance of the photovoltaic support, or to evaluate the stability of the photovoltaic support under extreme weather conditions, etc. Then, evaluate the photovoltaic support according to the target coupling analysis result, which may involve multiple aspects such as adjusting the target model parameters, quantitatively evaluating the results, and identifying potential risks, so as to obtain a comprehensive evaluation report on the performance of the photovoltaic support in the second meteorological environment and provide a basis for subsequent decisions. In some embodiments, the step of "evaluating the target model of the photovoltaic support in the second meteorological environment according to the target coupling analysis result" can be implemented in multiple ways: Optionally, in the first method, extract the key parameters in the target coupling analysis result, such as stress, strain, temperature distribution, etc., and use these key parameters to evaluate the photovoltaic support.

[0046] Optionally, the second method is to use professional evaluation software or tools, that is, to automatically evaluate the photovoltaic support using the target multi-physical field coupling model, which can greatly improve the efficiency and accuracy of the evaluation.

[0047] It can be understood that other methods can also be used to evaluate the target model of the photovoltaic support according to the target coupling analysis results. For example, introducing more advanced evaluation methods, using big data and artificial intelligence technologies for analysis, etc. are not limited here.

[0048] Through the above steps, the meteorological environment sets of multiple extreme meteorological environments can provide comprehensive test scenarios for subsequent analysis. Using the initial multi-physical field coupling model, combined with the support structure data, the first coupling analysis is carried out under different meteorological environments to analyze the multi-physical field interaction of the photovoltaic support under different extreme meteorological environments, so as to obtain a more accurate target multi-physical field coupling model. Through the second coupling analysis of the target multi-physical field coupling model in the second meteorological environment, the multi-physical field coupling performance of the photovoltaic support in the actual meteorological environment can be accurately predicted, thus providing more accurate key data for the evaluation of the target model. Furthermore, the technical problem of the low evaluation accuracy of the coupling performance of the photovoltaic support in diverse extreme weather scenarios in the related art is solved, and the technical effect of the evaluation accuracy of the coupling performance of the photovoltaic support in diverse extreme weather scenarios is achieved.

[0049] Among them, the execution subject of the above steps can be a system with model evaluation and optimization capabilities, or a platform, device with model evaluation and optimization capabilities, or a controller or processor in the device or system, or a separate controller or processor, or other processing devices or processing units with similar processing functions, etc., but not limited to this.

[0050] In an alternative embodiment, for each first meteorological environment included in the set of meteorological environments in sequence, a first coupling analysis is performed on the interaction of the pre-acquired support structure data under the corresponding first meteorological environment by using an initial multi-physical field coupling model, so as to obtain a target multi-physical field coupling model, which specifically includes: acquiring historical geographical data of the photovoltaic support; inputting the historical geographical data and the support structure data into the initial multi-physical field coupling model; acquiring the first coupling analysis results output by the initial multi-physical field coupling model after performing the first coupling analysis on the support structure data and the historical geographical data under each first meteorological environment, so as to obtain a set of first coupling analysis results, wherein the set of first coupling analysis results includes the thermal-mechanical coupling performance, thermal-vibration coupling performance, force-vibration coupling performance, vibration-foundation coupling performance of the photovoltaic support under the set of meteorological environments, the thermal-mechanical coupling performance characterizes the structural response performance of the photovoltaic support under the combined action of thermal stress generated by the material thermal expansion and contraction effect and static / dynamic mechanical loads in a temperature change environment, the thermal-vibration coupling performance characterizes the structural vibration characteristics of the photovoltaic support caused by thermal stress generated by the material thermal expansion and contraction effect in a temperature change environment, the force-vibration coupling performance characterizes the comprehensive performance of the structural dynamic behavior and energy transfer characteristics of the photovoltaic support when subjected to dynamic loads, and the vibration-foundation coupling performance characterizes the performance of the interaction between the photovoltaic support and the foundation during vibration; performing an optimization analysis operation on the initial multi-physical field coupling model according to the set of first coupling analysis results, so as to obtain a target multi-physical field coupling model.

[0051] In the above embodiment, assume that there is a photovoltaic power station located in a desert area, where the meteorological environment is extreme, with large temperature variations and frequent sandstorms. To optimize the design of the photovoltaic support, historical geographical data of the photovoltaic support is collected, including meteorological data such as temperature, humidity, wind speed, and wind direction in the desert area, as well as structural data such as the geometric dimensions and material properties of the photovoltaic support. The collected data is input into the initial multi-physical field coupling model, which can simulate the performance of the photovoltaic support under the combined action of multiple physical fields such as heat, force, and vibration. Under the meteorological environments common in the desert area (for example, high temperature, strong wind, sandstorm, etc.), the initial multi-physical field coupling model is used to perform a first coupling analysis on the photovoltaic support. The results of the first coupling analysis show that under high temperature and strong wind environments, the thermal-mechanical coupling performance and thermal-vibration coupling performance of the photovoltaic support are poor, and structural deformation and vibration are likely to occur. The initial multi-physical field coupling model is optimized according to the results of the first coupling analysis, and the parameters and structure of the model are adjusted to improve the thermal-mechanical coupling performance and thermal-vibration coupling performance of the photovoltaic support. The optimized model is the target multi-physical field coupling model. The optimized model is applied to the design of the photovoltaic support to improve its stability and durability in the extreme meteorological environment of the desert area. At the same time, according to the actual application situation, the target multi-physical field coupling model is further adjusted and optimized.

[0052] In an alternative embodiment, the first coupling analysis results output after the initial multi-physical field coupling model performs coupling analysis on the support structure data and historical geographical data under each first meteorological environment are obtained to obtain a set of first coupling analysis results. Specifically, in the case where the third meteorological environment is a strong wind meteorological environment, the initial multi-physical field coupling model is used to perform a first force-vibration coupling analysis and a first vibration-foundation coupling analysis on the support structure data, strong wind meteorological data, and first foundation data. Among them, the meteorological environment set includes the third meteorological environment, the strong wind meteorological data is the first meteorological information preset in the initial multi-physical field coupling model, the first foundation data includes the first soil conditions, foundation bearing capacity, and foundation deformation characteristics of the historical location of the photovoltaic support, the historical geographical data includes the first foundation data, and the coupling analysis includes a first force-vibration coupling analysis and a first vibration-foundation coupling analysis; the structural dynamic response characteristics, energy transfer and dissipation characteristics output after the initial multi-physical field coupling model performs the first force-vibration coupling analysis are obtained, and the distribution and magnitude of the foundation reaction force, foundation deformation mode and settlement amount, and dynamic response characteristics under the interaction between the foundation and the support structure output after the initial multi-physical field coupling model performs the first vibration-foundation coupling analysis are obtained. Among them, the force-vibration coupling performance includes structural dynamic response characteristics and energy transfer and dissipation characteristics, and the vibration-foundation coupling performance includes the distribution and magnitude of the foundation reaction force, foundation deformation mode and settlement amount, and dynamic response characteristics under the interaction between the foundation and the support structure.

[0053] In the above embodiment, the first force-vibration coupling performance is characterized by the structural dynamic response characteristics and energy transfer and dissipation characteristics, and these characteristics reflect the structural stability and energy dissipation ability of the photovoltaic support when subjected to dynamic loads (such as strong winds). The first vibration-foundation coupling performance is characterized by the distribution and magnitude of the foundation reaction force, foundation deformation mode and settlement amount, and dynamic response characteristics under the interaction between the foundation and the support structure, and these characteristics reflect the interaction mechanism between the photovoltaic support and the foundation, which is crucial for evaluating the foundation stability and safety of the photovoltaic support.

[0054] In the above embodiments, assume that there is a photovoltaic power station located in a coastal area, and this coastal area is often affected by strong wind weather. To evaluate the performance of the photovoltaic support under strong wind weather, collect the structural data of the photovoltaic support, including dimensions, materials, connection methods, etc. Collect strong wind meteorological data, including wind speed, wind direction, wind pressure, etc., and these data will be used as input parameters in the initial multi-physical field coupling model. Collect the first foundation data, including the soil conditions (such as soil type, water content, density, etc., which are not limited here), foundation bearing capacity, foundation deformation characteristics, etc. of the location where the photovoltaic support is located. Set the strong wind meteorological environment in the initial multi-physical field coupling model, and input the structural data of the photovoltaic support, strong wind meteorological data, and the first foundation data. Use the initial multi-physical field coupling model to perform the first force-vibration coupling analysis to evaluate the structural dynamic response characteristics, energy transfer and dissipation characteristics of the photovoltaic support under strong wind. Use the initial multi-physical field coupling model to perform the first vibration-foundation coupling analysis to evaluate the interaction performance between the photovoltaic support and the foundation, including the distribution and magnitude of the foundation reaction force, the foundation deformation mode and settlement amount, etc. Analyze the results of the first force-vibration coupling analysis to understand the structural stability and energy dissipation capacity of the photovoltaic support under strong wind. Analyze the results of the first vibration-foundation coupling analysis to evaluate the interaction mechanism between the photovoltaic support and the foundation, as well as the stability and safety of the foundation. According to the results of the first force-vibration coupling analysis and the results of the first vibration-foundation coupling analysis, optimize the structural design of the photovoltaic support to improve its stability and durability under strong wind weather. Consider the influence of the foundation conditions on the performance of the photovoltaic support, and perform necessary reinforcement or adjustment on the foundation. Through the above steps, the performance of the photovoltaic support under strong wind meteorological environment can be comprehensively evaluated, and a scientific basis can be provided for the optimization design.

[0055] In an alternative embodiment, the first coupling analysis results output after coupling analysis of the support structure data and the historical geographical data by the initial multi-physical field coupling model under each first meteorological environment are obtained to obtain a set of first coupling analysis results, which specifically includes: in the case where the fourth meteorological environment is a high-temperature meteorological environment, the initial multi-physical field coupling model is used to perform a first thermal-mechanical coupling analysis and a first thermal-vibration coupling analysis on the support structure data, the high-temperature meteorological data, and the second foundation data, where the meteorological environment set includes the fourth meteorological environment, the high-temperature meteorological data is the pre-set second meteorological information in the initial multi-physical field coupling model, the second foundation data includes the second soil conditions at the historical location of the photovoltaic support, the thermal stability characteristics of the foundation material, and the heat conduction characteristics between the foundation and the support structure, and the historical geographical data includes the second foundation data; the first thermal stress distribution characteristics, the first support structure deformation characteristics, and the thermal expansion characteristics of key components output after the initial multi-physical field coupling model performs the first thermal-mechanical coupling analysis are obtained, and the first natural vibration characteristics and the first support dynamic response characteristics output after the initial multi-physical field coupling model performs the first thermal-vibration coupling analysis are obtained, where the thermal-mechanical coupling performance includes the first thermal stress distribution characteristics, the first support structure deformation characteristics, and the thermal expansion characteristics of key components, and the thermal-vibration coupling performance includes the first natural vibration characteristics and the first support dynamic response characteristics.

[0056] In the above embodiment, the first thermal-mechanical coupling performance is characterized by the first thermal stress distribution characteristics, the first support structure deformation characteristics, and the thermal expansion characteristics of key components, and these characteristics reflect the thermal stress and structural deformation of the photovoltaic support in a high-temperature environment, as well as the thermal expansion performance of key components. The first thermal-vibration coupling performance is characterized by the first natural vibration characteristics and the first support dynamic response characteristics, and these characteristics reflect the natural vibration frequency and vibration mode of the photovoltaic support in a high-temperature environment, as well as the response characteristics of the support under dynamic loads.

[0057] In the above embodiments, assume that there is a photovoltaic power station located in the equatorial region, where the temperature is extremely high in summer, posing a severe challenge to the performance of the photovoltaic support. To evaluate the performance of the photovoltaic support in a high-temperature environment, structural data of the photovoltaic support is collected, including dimensions, materials, connection methods, etc. High-temperature meteorological data is collected, including the maximum temperature, temperature change range, duration, etc., and these data will be used as input parameters in the initial multi-physics coupling model. Second foundation data is collected, including the soil conditions at the location of the photovoltaic support (for example, soil type, water content, density, etc., which are not limited here), the thermal stability characteristics of the foundation material (for example, coefficient of thermal expansion, thermal conductivity, etc., which are not limited here), and the heat conduction characteristics between the foundation and the support structure. Set the high-temperature meteorological environment in the initial multi-physics coupling model, and input the structural data of the photovoltaic support, high-temperature meteorological data, and second foundation data. Use the initial multi-physics coupling model to perform the first thermal-mechanical coupling analysis to evaluate the thermal stress distribution, structural deformation, and thermal expansion characteristics of key components of the photovoltaic support in a high-temperature environment. Use the initial multi-physics coupling model to perform the first thermal-vibration coupling analysis to evaluate the natural vibration frequency and mode of the photovoltaic support in a high-temperature environment, as well as the response characteristics of the photovoltaic support under dynamic loads. Analyze the results of the first thermal-mechanical coupling analysis to understand the thermal stress and structural deformation of the photovoltaic support in a high-temperature environment, as well as the thermal expansion performance of key components. Analyze the results of the first thermal-vibration coupling analysis to evaluate the natural vibration characteristics and dynamic response characteristics of the photovoltaic support in a high-temperature environment, as well as the impact of these characteristics on the stability and service life of the support. According to the results of the first thermal-mechanical coupling analysis and the results of the first thermal-vibration coupling analysis, optimize the structural design of the photovoltaic support to improve its stability and durability in a high-temperature environment. Consider the impact of the thermal stability characteristics of the foundation material and the heat conduction characteristics between the foundation and the support structure on the performance of the photovoltaic support, and make necessary adjustments or reinforcements to the foundation. Through the above steps, the performance of the photovoltaic support in a high-temperature meteorological environment can be comprehensively evaluated, providing a scientific basis for optimizing the design.

[0058] In an optional embodiment, the first coupling analysis results output after the initial multi-physical field coupling model performs coupling analysis on the support structure data and the historical geographical data under each first meteorological environment are obtained to obtain a set of first coupling analysis results. Specifically, in the case where the fifth meteorological environment is a low-temperature meteorological environment, the initial multi-physical field coupling model is used to perform a second thermal-mechanical coupling analysis and a second vibration-foundation coupling analysis on the support structure data, the low-temperature meteorological data, and the third foundation data. The meteorological environment set includes the fifth meteorological environment, the low-temperature meteorological data is the pre-set third meteorological information in the initial multi-physical field coupling model, the third foundation data includes the third soil conditions, the groundwater level characteristics, the historical foundation settlement characteristics, and the foundation structure characteristics of the location where the photovoltaic support has been located, and the historical geographical data includes the third foundation data; the second thermal stress distribution characteristics, the second support structure deformation amount characteristics, and the support material property change characteristics output after the initial multi-physical field coupling model performs the second thermal-mechanical coupling analysis are obtained, and the second natural vibration characteristics and the second support dynamic response characteristics output after the initial multi-physical field coupling model performs the second vibration-foundation coupling analysis are obtained. The thermal-mechanical coupling performance includes the second thermal stress distribution characteristics, the second support structure deformation amount characteristics, and the support material property change characteristics, and the vibration-foundation coupling performance includes the second natural vibration characteristics and the second support dynamic response characteristics.

[0059] In the above embodiment, the second thermal-mechanical coupling performance is characterized by the second thermal stress distribution characteristics, the second support structure deformation amount characteristics, and the support material property change characteristics, which reflect the thermal stress and structural deformation of the photovoltaic support in a low-temperature environment, as well as the change in material properties. The second vibration-foundation coupling performance is characterized by the second natural vibration characteristics and the second support dynamic response characteristics, which reflect the natural vibration frequency and vibration mode of the interaction between the photovoltaic support and the foundation in a low-temperature environment, as well as the response characteristics of the support under dynamic loads.

[0060] In the above embodiments, assume there is a photovoltaic power station located in an alpine region, where the temperature is extremely low in winter, posing a severe challenge to the performance of the photovoltaic support. To evaluate the performance of the photovoltaic support in a low-temperature environment, structural data of the photovoltaic support are collected, including dimensions, materials, connection methods, etc. Low-temperature meteorological data are collected, including the minimum temperature, temperature change range, duration, etc., and these data will be used as input parameters in the initial multi-physics field coupling model. Third foundation data are collected, including the soil conditions (such as soil type, water content, freezing depth, etc., not limited here), groundwater level characteristics (such as water level height, water level change, etc., not limited here), historical foundation settlement characteristics (such as settlement amount, settlement rate, etc., not limited here), and foundation structure characteristics (such as foundation materials, foundation treatment methods, etc., not limited here) of the location where the photovoltaic support is located. Set the low-temperature meteorological environment in the initial multi-physics field coupling model, and input the structural data of the photovoltaic support, low-temperature meteorological data, and third foundation data. Use the initial multi-physics field coupling model to perform the second thermal-mechanical coupling analysis to evaluate the thermal stress distribution, structural deformation, and material property change characteristics of the photovoltaic support in a low-temperature environment, and pay special attention to the performance changes such as increased brittleness and decreased toughness of the support material at low temperatures. Use the initial multi-physics field coupling model to perform the second vibration-foundation coupling analysis to evaluate the natural vibration frequencies and modes of the interaction between the photovoltaic support and the foundation in a low-temperature environment, as well as the response characteristics of the support under dynamic loads, and pay special attention to the influence of the freezing effect of the foundation at low temperatures on the stability of the support. Analyze the results of the second thermal-mechanical coupling analysis to understand the thermal stress and structural deformation of the photovoltaic support in a low-temperature environment, and the influence of the change in material properties on the overall stability of the support. Analyze the results of the second vibration-foundation coupling analysis to evaluate the interaction characteristics between the photovoltaic support and the foundation in a low-temperature environment, and the influence of these characteristics on the dynamic response and stability of the support. Optimize the structural design of the photovoltaic support according to the results of the second thermal-mechanical coupling analysis and the results of the second vibration-foundation coupling analysis to improve its stability and durability in a low-temperature environment. Consider the influence of the change in the characteristics of the foundation at low temperatures on the performance of the support, and perform necessary reinforcement or adjustment treatments on the foundation. Through the above steps, the performance of the photovoltaic support in a low-temperature meteorological environment can be comprehensively evaluated, and a scientific basis can be provided for the optimized design.

[0061] In an alternative embodiment, a second coupling analysis is performed on the interaction of the photovoltaic support in the second meteorological environment by using the target multi-physical field coupling model to obtain the target coupling analysis result, which specifically includes: when it is determined that the photovoltaic support is actually in the second meteorological environment, the target multi-physical field coupling model is used to collect the actual meteorological data and the actual foundation data of the photovoltaic support; the target multi-physical field coupling model is used to perform a second coupling analysis on the historical coupling analysis result set, the support structure data, the actual meteorological data, and the actual foundation data to obtain the target coupling analysis result, where the historical coupling analysis result set includes the first coupling analysis result set.

[0062] In the above embodiment, assume that there is a photovoltaic power station located in a desert area, where the summer temperature in the desert area is extremely high and sandstorm weather is frequent. The meteorological data of the area where the photovoltaic power station is located is collected in real time through meteorological monitoring equipment, and it is found that the current temperature has exceeded the historical maximum value and sandstorm weather is approaching. Therefore, it is determined that the photovoltaic support is actually in an extreme meteorological environment (i.e., the second meteorological environment). The real-time meteorological data is collected through meteorological monitoring equipment, including extreme conditions such as high temperature, strong wind, and low humidity. The foundation data of the location where the photovoltaic support is located is obtained through geological exploration, including characteristics such as sand type, extremely low soil moisture content, and deep groundwater level. The structural characteristic data of the photovoltaic support, such as geometric dimensions and material properties (e.g., high temperature resistance, sand and wind resistance, etc.), is collected. The results of multi-physical field coupling analysis of the photovoltaic support in different meteorological environments before are extracted from the historical database (the historical database can be the database included in the target multi-physical field coupling model or a separately existing database for storing the data involved in the target multi-physical field coupling model, which is not limited here) as reference data. Using the target multi-physical field coupling model, the historical coupling analysis result set, the support structure data, the real-time meteorological data, and the foundation data are used as inputs for a second coupling analysis. The interaction of multiple physical fields such as thermal-mechanical coupling (evaluating the influence of high temperature on the material properties and structural stability of the support) and fluid-structure coupling (evaluating the dynamic impact effect of sand and wind on the support) is considered during the analysis process. Through the second coupling analysis, key performance indicators such as the stress distribution diagram, deformation amount, and material property change curve of the photovoltaic support in the extreme meteorological environment are obtained. It is found that there are problems such as local stress concentration and excessive deformation amount of the photovoltaic support in the high temperature and sandstorm environment, and optimization design measures (such as adding support structures, improving connection methods, etc., which are not limited here) need to be taken to improve the stability and durability of the support. According to the target coupling analysis result, the photovoltaic support is optimized to improve its high temperature resistance and sand and wind resistance. A regular maintenance strategy is formulated, including checking whether the support connectors are loose and cleaning the sand on the surface of the support, to ensure the long-term stable operation of the support in the extreme environment.

[0063] In an optional embodiment, evaluating the target model of the photovoltaic support in the second meteorological environment according to the target coupling analysis result specifically includes: extracting the target coupling performance of the key parts from the target coupling analysis result; comparing the target coupling performance with the set of standard coupling performances to obtain the performance difference analysis result, where the set of standard coupling performances is a set of standard coupling performances set according to the historical coupling analysis result set by using the target multi-physical field coupling model; determining the risk parts from the key parts according to the performance difference analysis result, where the risk parts are the areas with extreme stress concentration in the key parts in the second meteorological environment; and evaluating the target model of the photovoltaic support in the second meteorological environment according to the performance difference analysis result and the risk parts.

[0064] In the above embodiment, assume that there is a photovoltaic power station located in a coastal area, and this coastal area is often hit by typhoons. To evaluate the performance of the photovoltaic support under typhoon weather, the target multi-physical field coupling model is used to simulate the performance of the photovoltaic support under typhoon weather, and the coupling performance parameters such as stress and strain of the key parts (for example, the connection points between the support and the ground, the connecting rods between the supports, etc., which are not limited here) are extracted. According to the historical coupling analysis result set, a set of standard coupling performances is set, representing the performance standard of the photovoltaic support under normal weather conditions. Comparing the target coupling performance under typhoon weather with the set of standard coupling performances, it is found that the stress at the connection points is much higher than the standard value. According to the comparison result, the connection points are determined as the risk parts because these areas bear excessive stress under typhoon weather and may cause structural damage. Combining the performance difference analysis result and the information of the risk parts, it is evaluated that the performance of the photovoltaic support under typhoon weather is poor and there is a risk of structural damage. The wind resistance of the photovoltaic support can be improved by strengthening the structural strength of the connection points, adding additional support structures, etc. Through the above steps, not only the performance of the photovoltaic support in a specific meteorological environment is evaluated, but also targeted improvement measures are proposed, providing strong support for the safe operation of the photovoltaic power station.

[0065] Through the embodiment of the present application, a digital twin model of the photovoltaic support (i.e., the target multi-physical field coupling model) is established. The digital twin model integrates the historical and predicted data of the local meteorological station and can be updated in real time. Considering the influence of seasonal climate changes, various extreme working conditions (i.e., extreme meteorological environments) such as high temperature in summer, low temperature in winter, and strong wind are set for testing. Through the stress analysis of the key parts of the support under each working condition, the bearing limit of the photovoltaic support under extreme conditions (i.e., extreme meteorological environments) is effectively predicted, and some weak links (i.e., risk parts) in the design of the photovoltaic support are discovered in advance, providing a scientific basis for subsequent material selection and reinforcement measures, and significantly improving the overall safety and economy of the photovoltaic power station.

[0066] The electronic device in the embodiment of the present invention application will be described from the perspective of hardware processing. Refer to Figure 2 , Figure 2 which is a schematic structural diagram of an entity device of the electronic device in the embodiment of the present application.

[0067] It should be noted that Figure 2 the structure of the electronic device shown is only an example and should not impose any limitations on the functions and usage scope of the embodiments of the present invention.

[0068] As Figure 2 shown, the electronic device includes a Central Processing Unit (CPU) 201, which can perform various appropriate actions and processes according to the program stored in the Read-Only Memory (ROM) 202 or the program loaded from the storage part 208 into the Random Access Memory (RAM) 203, such as executing the methods described in the above embodiments. In the RAM 203, various programs and data required for system operation are also stored . The CPU 201, ROM 202, and RAM 203 are connected to each other via a bus 204. An Input / Output (I / O) interface 205 is also connected to the bus 204.

[0069] The following components are connected to the I / O interface 205: an input part 206 including an audio input device, a button switch, etc.; an output part 207 including a Liquid Crystal Display (LCD), an audio output device, an indicator light, etc.; a storage part 208 including a hard disk, etc.; and a communication part 209 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication part 209 performs communication processing via a network such as the Internet. A drive 210 is also connected to the I / O interface 205 as required. A removable medium 211, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 210 as required, so that the computer program read from it can be installed into the storage part 208 as required.

[0070] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product that includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 209, and / or installed from the removable medium 211. When the computer program is executed by the central processing unit (CPU) 201, various functions defined in the present invention are executed.

[0071] It should be noted that specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, the computer-readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, apparatus, or device.

[0072] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. Among them, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the above module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the block may occur in a different order than marked in the accompanying drawings.

[0073] Specifically, the electronic device of this embodiment includes a processor and a memory, and a computer program is stored on the memory. When the computer program is executed by the processor, the evaluation method of the photovoltaic support model provided in the above embodiment is implemented.

[0074] On the other hand, the present invention also provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiment; or may exist separately without being assembled into the electronic device. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the electronic device, the electronic device implements the evaluation method of the photovoltaic support model provided in the above embodiment.

[0075] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the various embodiments of the present application.

[0076] Those of ordinary skill in the art can understand all or part of the processes in the methods of the above embodiments. This process can be completed by relevant hardware instructed by a computer program, and this program can be stored in a computer-readable storage medium. When this program is executed, it can include the processes of the above method embodiments. The foregoing storage media include: various media such as ROM or random access memory RAM, magnetic disks, or optical disks that can store program codes.

Claims

1. A photovoltaic support model evaluation method, characterized in that: include: A meteorological environment set is set according to a pre-established initial multi-physics field coupling model, wherein the meteorological environment set includes different extreme meteorological environments, and the initial multi-physics field coupling model is a digital twin model of multiple physical fields interacting with each other; In each first meteorological environment included in the meteorological environment set, the initial multi-physics field coupling model is used to perform a first coupling analysis on the interaction of the pre-acquired support structure data in the corresponding first meteorological environment to obtain a target multi-physics field coupling model, wherein the support structure data includes structural characteristic information of the photovoltaic support; Using the target multi-physics field coupling model, a second coupling analysis is performed on the interaction of the photovoltaic bracket in a second meteorological environment to obtain a target coupling analysis result, wherein the second meteorological environment is the actual meteorological environment in which the photovoltaic bracket is currently located; The target model of the photovoltaic support under the second meteorological environment is evaluated according to the target coupling analysis result.

2. The method according to claim 1, characterized in that The method of sequentially performing a first coupling analysis on the interaction of the pre-acquired support structure data in the corresponding first meteorological environment by using the initial multi-physics field coupling model in each first meteorological environment included in the meteorological environment set to obtain a target multi-physics field coupling model specifically includes: Obtaining historical geographic data of the photovoltaic support; Inputting the historical geographic data and the support structure data into the initial multi-physics coupling model; Obtaining a first coupling analysis result output by the initial multi-physics coupling model after performing the first coupling analysis on the support structure data and the historical geographic data under each first meteorological environment, so as to obtain a first coupling analysis result set, wherein the first coupling analysis result set includes the thermal-mechanical coupling performance, thermal-vibration coupling performance, force-vibration coupling performance, and vibration-foundation coupling performance of the photovoltaic support under the meteorological environment set, the thermal-mechanical coupling performance characterizing the structural response performance of the photovoltaic support under the combined action of thermal stress generated by the thermal expansion and contraction effect of the material and static / dynamic mechanical loads in a temperature changing environment, the thermal-vibration coupling performance characterizing the structural vibration characteristics caused by the thermal stress generated by the thermal expansion and contraction effect of the material in a temperature changing environment, the force-vibration coupling performance characterizing the comprehensive performance of the structural dynamic behavior and energy transfer characteristics of the photovoltaic support when subjected to dynamic loads, and the vibration-foundation coupling performance characterizing the performance of the interaction between the photovoltaic support and the foundation during the vibration process; An optimization analysis operation is performed on the initial multi-physics coupling model according to the first coupling analysis result set to obtain the target multi-physics coupling model.

3. The method according to claim 2, characterized in that The obtaining of the first coupling analysis result output by the initial multi-physics field coupling model after coupling analysis of the support structure data and the historical geographic data under each first meteorological environment to obtain a first coupling analysis result set specifically includes: In the case where the third meteorological environment is a strong wind meteorological environment, the initial multi-physical field coupling model is used to perform a first force-vibration coupling analysis and a first vibration-foundation coupling analysis on the support structure data, the strong wind meteorological data and the first foundation data, wherein the meteorological environment set includes the third meteorological environment, the strong wind meteorological data is the first meteorological information preset in the initial multi-physical field coupling model, the first foundation data includes the first soil condition, foundation bearing capacity, and foundation deformation characteristics of the historical location of the photovoltaic support, the historical geographic data includes the first foundation data, and the coupling analysis includes the first force-vibration coupling analysis and the first vibration-foundation coupling analysis; The structural dynamic response characteristics and energy transfer and dissipation characteristics output by the initial multi-physics coupling model after the first force-vibration coupling analysis are obtained, and the foundation reaction force distribution and magnitude, foundation deformation mode and settlement, and dynamic response characteristics under the interaction between the foundation and the support structure are obtained after the initial multi-physics coupling model is subjected to the first vibration-foundation coupling analysis, wherein the force-vibration coupling performance includes the structural dynamic response characteristics and the energy transfer and dissipation characteristics, and the vibration-foundation coupling performance includes the foundation reaction force distribution and magnitude, the foundation deformation mode and settlement, and the dynamic response characteristics under the interaction between the foundation and the support structure.

4. The method according to claim 2, characterized in that: The obtaining of the first coupling analysis result output by the initial multi-physics field coupling model after coupling analysis of the support structure data and the historical geographic data under each first meteorological environment to obtain a first coupling analysis result set specifically includes: In the case where the fourth meteorological environment is a high-temperature meteorological environment, the initial multi-physical field coupling model is used to perform a first thermal-mechanical coupling analysis and a first thermal-vibration coupling analysis on the support structure data, the high-temperature meteorological data and the second foundation data, wherein the meteorological environment set includes the fourth meteorological environment, the high-temperature meteorological data is the second meteorological information preset in the initial multi-physical field coupling model, the second foundation data includes the second soil condition of the historical location of the photovoltaic support, the thermal stability characteristics of the foundation material, and the thermal conductivity characteristics of the foundation and the support structure, and the historical geographical data includes the second foundation data; The first thermal stress distribution characteristics, the first bracket structure deformation characteristics, and the thermal expansion characteristics of the key components output by the initial multi-physical field coupling model after the first thermal-mechanical coupling analysis are obtained, and the first natural vibration characteristics and the first bracket dynamic response characteristics output by the initial multi-physical field coupling model after the first thermal-vibration coupling analysis are obtained, wherein the thermal-mechanical coupling performance includes the first thermal stress distribution characteristics, the first bracket structure deformation characteristics, and the thermal expansion characteristics of the key components, and the thermal-vibration coupling performance includes the first natural vibration characteristics and the first bracket dynamic response characteristics.

5. The method according to claim 2, characterized in that: The obtaining of the first coupling analysis result output by the initial multi-physics field coupling model after coupling analysis of the support structure data and the historical geographic data under each first meteorological environment to obtain a first coupling analysis result set specifically includes: In the case where the fifth meteorological environment is a low-temperature meteorological environment, the initial multi-physical field coupling model is used to perform a second thermal-mechanical coupling analysis and a second vibration-foundation coupling analysis on the support structure data, the low-temperature meteorological data and the third foundation data, wherein the meteorological environment set includes the fifth meteorological environment, the low-temperature meteorological data is the third meteorological information preset in the initial multi-physical field coupling model, the third foundation data includes the third soil condition, groundwater level characteristics, historical foundation settlement characteristics, and foundation structure characteristics of the historical location of the photovoltaic support, and the historical geographic data includes the third foundation data; The second thermal stress distribution characteristics, the second bracket structure deformation characteristics, and the bracket material performance change characteristics outputted after the initial multi-physical field coupling model is subjected to the second thermal-mechanical coupling analysis, and the second natural vibration characteristics and the second bracket dynamic response characteristics outputted after the initial multi-physical field coupling model is subjected to the second vibration-foundation coupling analysis, wherein the thermal-mechanical coupling performance includes the second thermal stress distribution characteristics, the second bracket structure deformation characteristics, and the bracket material performance change characteristics, and the vibration-foundation coupling performance includes the second natural vibration characteristics and the second bracket dynamic response characteristics.

6. The method according to claim 1, characterized in that The use of the target multi-physics field coupling model to perform a second coupling analysis on the interaction of the photovoltaic bracket under the second meteorological environment to obtain a target coupling analysis result specifically includes: When it is determined that the photovoltaic support is actually in the second meteorological environment, using the target multi-physics field coupling model to collect actual meteorological data and actual foundation data of the photovoltaic support; The target multi-physics field coupling model is used to perform a second coupling analysis on the historical coupling analysis result set, the support structure data, the actual meteorological data and the actual foundation data to obtain the target coupling analysis result, wherein the historical coupling analysis result set includes the first coupling analysis result set.

7. The method according to claim 6, characterized in that The step of evaluating the target model of the photovoltaic support under the second meteorological environment according to the target coupling analysis result specifically includes: Extracting target coupling performance of key parts from the target coupling analysis results; Comparing the target coupling performance with a set of standard coupling performances to obtain a performance difference analysis result, wherein the set of standard coupling performances is a set of standard coupling performances set according to the set of historical coupling analysis results using the target multi-physics field coupling model; Determining a risky part from the key parts according to the performance difference analysis result, wherein the risky part is an extreme stress concentration area existing in the key parts under the second meteorological environment; The target model of the photovoltaic support under the second meteorological environment is evaluated based on the performance difference analysis results and the risk locations.

8. An electronic device, characterized in that: The electronic device comprises: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code comprises computer instructions, and the one or more processors call the computer instructions so that the electronic device executes the method as described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on an electronic device, the electronic device is caused to execute the method as claimed in any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is executed on an electronic device, the electronic device is enabled to execute the method according to any one of claims 1 to 7.

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