A method for load simulation analysis of flexible photovoltaic support

Abstract

This invention provides a load simulation analysis method for flexible photovoltaic (PV) brackets, belonging to the field of simulation technology. The method includes: Step 1: Obtaining the design structural parameters and material parameters of the flexible PV bracket, and determining its material properties; Step 2: Identifying factors affecting the safe use and lifespan of the flexible PV bracket, and constructing a load simulation model of the flexible PV bracket under different influencing conditions; Step 3: Performing loading simulation using the load simulation model to obtain the performance parameters of the flexible PV bracket under different influencing conditions; Step 4: Determining potential safety hazards and design defects of the flexible PV bracket based on the performance parameters, and optimizing it. This method solves the problems of traditional load simulation analysis methods for flexible PV brackets that fail to consider the material characteristics used in the PV bracket, thus failing to provide accurate simulation results, and that neglecting the influence of environmental factors reduces the accuracy and reliability of load simulation analysis of flexible PV brackets.

Description

Technical Field

[0001] This invention relates to the field of simulation technology, and in particular to a method for simulating and analyzing the load on a flexible photovoltaic support. Background Technology

[0002] With the continuous development of renewable energy technologies, photovoltaic power generation, as an efficient and environmentally friendly form of energy, is being applied more and more widely.

[0003] However, traditional load simulation analysis methods for flexible photovoltaic supports typically do not consider factors such as the characteristics and strength of the materials used in the photovoltaic supports, and therefore cannot provide accurate simulation results. At the same time, they ignore the influence of environmental factors, such as temperature and wind speed, which can affect the load-bearing capacity of photovoltaic supports, thus reducing the accuracy and reliability of load simulation analysis of flexible photovoltaic supports.

[0004] Therefore, this invention proposes a load simulation analysis method for flexible photovoltaic supports. Summary of the Invention

[0005] This invention provides a load simulation analysis method for flexible photovoltaic (PV) brackets, which addresses the shortcomings of existing methods that typically fail to consider the characteristics and strength of the materials used in the PV brackets, thus failing to provide accurate simulation results. Furthermore, these methods neglect the influence of environmental factors, such as temperature and wind speed, which affect the load-bearing capacity of the PV brackets, thereby reducing the accuracy and reliability of the load simulation analysis of flexible PV brackets.

[0006] On the one hand, the present invention provides a method for load simulation and analysis of flexible photovoltaic supports, including:

[0007] Step 1: Obtain the design structural parameters and material parameters of the flexible photovoltaic support, and determine the material properties of the flexible photovoltaic support based on the structural parameters and material parameters;

[0008] Step 2: Identify the factors affecting the safe use and lifespan of flexible photovoltaic supports, and construct load simulation models of flexible photovoltaic supports under different influencing factors based on material properties;

[0009] Step 3: Perform multiple loading simulations using a load simulation model to obtain various performance parameters of the flexible photovoltaic support under different influencing factors;

[0010] Step 4: Identify potential safety hazards and design flaws of flexible photovoltaic brackets based on performance parameters, and conduct analysis, improvement and optimization.

[0011] According to the load simulation analysis method for flexible photovoltaic supports provided by the present invention, the design structural parameters and material parameters of the flexible photovoltaic supports are obtained, and the material properties of the flexible photovoltaic supports are determined based on the structural parameters and material parameters, including:

[0012] Obtain the application scenarios and usage requirements of flexible photovoltaic brackets, and determine the material specifications of flexible photovoltaic brackets based on the application scenarios and usage requirements;

[0013] The design structural parameters and material parameters of the flexible photovoltaic support are determined based on the material specifications of the flexible photovoltaic support.

[0014] A mathematical model is constructed based on the design structural parameters and material parameters of the flexible photovoltaic support and in conjunction with the finite element method.

[0015] The structural behavior of the flexible photovoltaic support and its interaction with the environment are obtained based on the mathematical model.

[0016] The material properties of the flexible photovoltaic support are determined based on its structural behavior and the interaction between it and the environment.

[0017] According to the present invention, a load simulation analysis method for a flexible photovoltaic support is provided, which, after constructing a mathematical model based on the design structural parameters and material parameters of the flexible photovoltaic support and in conjunction with the finite element method, includes:

[0018] Environmental factor data of the flexible photovoltaic support are obtained based on the design structural parameters and material parameters of the flexible photovoltaic support.

[0019] The flexible photovoltaic support is meshed and a three-dimensional finite element model is created. The stress distribution and deformation of the flexible photovoltaic support are determined based on the finite element model.

[0020] The material stress of each cell is determined based on the stress distribution and deformation of the flexible photovoltaic support and the properties of each material.

[0021] The performance of the flexible photovoltaic support is evaluated based on the material stress of each cell and the results of the model output by the solver.

[0022] According to the present invention, a load simulation analysis method for flexible photovoltaic (PV) supports is provided to determine the factors affecting the safe use and lifespan of flexible PV supports, and to construct a load simulation model of the flexible PV support under different influencing factors based on material properties, including:

[0023] Obtain safe use and lifespan records of flexible photovoltaic brackets, determine the correlation between safe use and lifespan based on the records, and determine the factors affecting the safe use and lifespan of flexible photovoltaic brackets based on the correlation.

[0024] The parameter data of the flexible photovoltaic support are determined based on the material properties of the flexible photovoltaic support, and various external load conditions are obtained.

[0025] Set boundary conditions for the flexible photovoltaic support according to the design requirements, and determine the displacement of the flexible photovoltaic support under different loads.

[0026] Based on the various external load conditions, the displacement of the flexible photovoltaic support under different loads, and the structural characteristics of the flexible photovoltaic support, a load simulation model of the flexible photovoltaic support under different influencing factors is constructed.

[0027] According to the present invention, a load simulation analysis method for flexible photovoltaic support is provided, which determines the correlation between safe use and lifespan based on the records, including:

[0028] Obtain safe use and lifespan records of flexible photovoltaic brackets based on maintenance records and inspection reports;

[0029] The records are organized into a data table according to a preset format, and the data is analyzed using statistical analysis tools.

[0030] The analysis results were used to obtain the average service life of each flexible photovoltaic support and the differences between flexible photovoltaic supports of different types and installation locations.

[0031] The failure modes of flexible photovoltaic supports are obtained based on the differences between the different types and installation locations of the flexible photovoltaic supports.

[0032] The correlation between safe use and lifespan is determined based on the average service life of each flexible photovoltaic support and the existing failure modes.

[0033] According to the load simulation analysis method for flexible photovoltaic supports provided by the present invention, multiple loading simulations are performed using a load simulation model to obtain multiple performance parameters of the flexible photovoltaic supports under different influencing factors, including:

[0034] The load simulation model is initialized before each simulation is performed;

[0035] Different loading conditions are set for the load simulation model of flexible photovoltaic support according to actual working conditions and influencing factors, and corresponding load effects are added to the model.

[0036] For each set of loading conditions, simulation calculations were performed on the flexible photovoltaic support model, and multiple parameters were controlled.

[0037] The simulation results under each set of loading conditions were extracted to obtain multiple performance parameters of the flexible photovoltaic support under different influencing factors.

[0038] According to the load simulation analysis method for flexible photovoltaic supports provided by the present invention, potential safety hazards and design defects of flexible photovoltaic supports are determined based on performance parameters, and analysis, improvement and optimization are carried out, including:

[0039] The functions of each part of the flexible photovoltaic support and the coordination methods between the parts are determined based on the performance parameters.

[0040] The structure and working principle of the flexible photovoltaic support are obtained based on the functions of each part and the coordination between the parts.

[0041] Based on the structure and working principle of the flexible photovoltaic support and combined with physical testing, potential safety hazards and design defects of the flexible photovoltaic support were determined.

[0042] Based on the potential safety hazards and design flaws, determine the scope and degree of impact; based on the scope and degree of impact, determine the corresponding solution strategies; and based on the solution strategies, conduct analysis, improvement, and optimization.

[0043] According to the load simulation analysis method for flexible photovoltaic supports provided by the present invention, before obtaining the design structural parameters and material parameters of the flexible photovoltaic supports and determining the material properties of the flexible photovoltaic supports based on the structural parameters and material parameters, the method further includes:

[0044] Based on the design structure of the flexible photovoltaic support, the key load-bearing structural components are determined, and the load damage equivalent transformation parameters of the key load-bearing structural components are obtained.

[0045] The effective load range and failure load range of key load structural components are determined based on the load damage equivalent transformation parameters.

[0046] The theoretical maximum load of the critical load structural component is determined based on the last value of the effective load range and the first value of the failure load range.

[0047] The loading rate and loading intensity are determined based on the theoretical maximum load under dynamic and static load conditions, respectively.

[0048] The data response characteristics of the critical load structure are determined based on the loading rate, loading intensity, and load frequency response function of the critical load structure.

[0049] The load data acquisition cycle for key load structural components is set based on the data response characteristics, and the load data acquisition range for key load structural components is also set.

[0050] Acquire the acquisition data of each acquisition point within the acquisition range in different sensing directions, and use the direction error as a sensing error factor to correct the acquisition data;

[0051] Determine the membership index corresponding to the data collected at each collection point in different sensing directions;

[0052] The data collected by the collection points in different sensing directions are effectively evaluated based on the membership index, and the spatial domain statistics of the effective data of each collection point are performed based on the evaluation results.

[0053] The statistical results are quantified, and the optimal data collection points for each critical load structural component are determined based on the quantified data.

[0054] Compared with the prior art, the beneficial effects of this application are as follows:

[0055] By constructing a load simulation model based on the material properties of flexible photovoltaic (PV) supports and the factors affecting their safe use and lifespan, and conducting multiple loading simulations, the performance parameters under different influencing conditions are determined, and defects are optimized. This model can take into account factors such as the characteristics and strength of the materials used in the PV supports, providing accurate simulation results. At the same time, it considers the impact of environmental factors on the load-bearing capacity of the PV supports, thus improving the accuracy and reliability of the load simulation analysis of flexible PV supports. Attached Figure Description

[0056] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0057] Figure 1 This is a flowchart illustrating the load simulation analysis method for flexible photovoltaic support provided in an embodiment of the present invention;

[0058] Figure 2 This is a flowchart illustrating the process of determining the material properties of a flexible photovoltaic support based on its structural and material parameters, as provided in an embodiment of the present invention. Detailed Implementation

[0059] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0060] Example 1:

[0061] This invention provides a method for load simulation and analysis of flexible photovoltaic supports, such as... Figure 1 As shown, the method mainly includes the following steps:

[0062] Step 1: Obtain the design structural parameters and material parameters of the flexible photovoltaic support, and determine the material properties of the flexible photovoltaic support based on the structural parameters and material parameters;

[0063] Step 2: Identify the factors affecting the safe use and lifespan of flexible photovoltaic supports, and construct load simulation models of flexible photovoltaic supports under different influencing factors based on material properties;

[0064] Step 3: Perform multiple loading simulations using a load simulation model to obtain various performance parameters of the flexible photovoltaic support under different influencing factors;

[0065] Step 4: Identify potential safety hazards and design flaws of flexible photovoltaic brackets based on performance parameters, and conduct analysis, improvement and optimization.

[0066] In this embodiment, the material properties of the flexible photovoltaic support include: elastic modulus, density, thermal conductivity, yield strength, and Poisson's ratio.

[0067] In this embodiment, multiple performance parameters include: stress, strain, deflection, and stiffness.

[0068] In this embodiment, potential safety hazards of flexible photovoltaic brackets may include: material aging, loosening of components, and electrical safety issues.

[0069] In this embodiment, design defects of the flexible photovoltaic support may include: uneven stress on the photovoltaic modules, welding quality issues, and improper material selection.

[0070] The beneficial effects of the above technical solution are as follows: By constructing a load simulation model based on the material properties of the flexible photovoltaic support and the factors affecting its safe use and lifespan, and by conducting multiple loading simulations, the performance parameters under different influencing factors are determined, and defects are optimized. This approach can take into account factors such as the characteristics and strength of the materials used in the photovoltaic support, providing accurate simulation results. At the same time, it considers the impact of environmental factors on the load-bearing capacity of the photovoltaic support, thereby improving the accuracy and reliability of the load simulation analysis of the flexible photovoltaic support.

[0071] Example 2:

[0072] Based on Example 1, this embodiment of the invention obtains the design structural parameters and material parameters of the flexible photovoltaic support, and determines the material properties of the flexible photovoltaic support based on the structural parameters and material parameters, such as... Figure 2 As shown, it includes:

[0073] S01: Obtain the application scenarios and usage requirements of the flexible photovoltaic support, and determine the material specifications of the flexible photovoltaic support based on the application scenarios and usage requirements;

[0074] S02: Determine the design structural parameters and material parameters of the flexible photovoltaic support based on the material specifications of the flexible photovoltaic support;

[0075] S03: Construct a mathematical model based on the design structural parameters and material parameters of the flexible photovoltaic support and in conjunction with the finite element method;

[0076] S04: Obtain the structural behavior of the flexible photovoltaic support and the interaction between the flexible photovoltaic support and the environment based on the mathematical model;

[0077] S05: Determine the material properties of the flexible photovoltaic support based on the structural behavior of the flexible photovoltaic support and the interaction between the flexible photovoltaic support and the environment.

[0078] In this embodiment, the flexible photovoltaic support is a photovoltaic support system that can adjust its shape according to changes in terrain and weather to achieve the best lighting effect.

[0079] In this embodiment, the design structural parameters of the flexible photovoltaic support include: column material, beam spacing, beam cross-sectional shape, and diagonal bracing arrangement.

[0080] In this embodiment, the material parameters of the flexible photovoltaic support include: strength and stiffness, mass density, corrosion resistance, and electrical conductivity.

[0081] In this embodiment, the interaction between the flexible photovoltaic support and the environment refers to, for example, the environmental conditions (such as climate, temperature, humidity, etc.) of the flexible photovoltaic support will affect the efficiency and lifespan of the photovoltaic panel. For example, high temperature may reduce the performance of the panel, while low temperature will increase the resistance of the panel.

[0082] In this embodiment, the structural behavior of the flexible photovoltaic support includes: stiffness design, strength design, and self-adaptive capability.

[0083] In this embodiment, the material properties of the flexible photovoltaic support include: elastic modulus, density, thermal conductivity, yield strength, and Poisson's ratio.

[0084] The beneficial effects of the above technical solution are: obtaining the design structural parameters and material parameters of the flexible photovoltaic support and determining the material properties of the flexible photovoltaic support can better determine the properties and behavior of the photovoltaic support. At the same time, determining the material properties of the photovoltaic support can obtain key indicators such as the strength, stiffness, and durability of the photovoltaic support, thereby evaluating the safety of the photovoltaic support under different load and environmental conditions.

[0085] Example 3:

[0086] Based on Example 2, this embodiment of the invention, after constructing a mathematical model according to the design structural parameters and material parameters of the flexible photovoltaic support and combining the finite element method, includes:

[0087] Environmental factor data of the flexible photovoltaic support are obtained based on the design structural parameters and material parameters of the flexible photovoltaic support.

[0088] The flexible photovoltaic support is meshed and a three-dimensional finite element model is created. The stress distribution and deformation of the flexible photovoltaic support are determined based on the finite element model.

[0089] The material stress of each cell is determined based on the stress distribution and deformation of the flexible photovoltaic support and the properties of each material.

[0090] The performance of the flexible photovoltaic support is evaluated based on the material stress of each cell and the results of the model output by the solver.

[0091] In this embodiment, the design structural parameters of the flexible photovoltaic support include: column material, beam spacing, beam cross-sectional shape, and diagonal bracing arrangement.

[0092] In this embodiment, the material parameters of the flexible photovoltaic support include: strength and stiffness, mass density, corrosion resistance, and electrical conductivity.

[0093] In this embodiment, meshing the flexible photovoltaic support and creating a three-dimensional finite element model refers to dividing the entire three-dimensional structure of the photovoltaic support into many small units through numerical calculation methods, and establishing a numerical model on each mesh node to better understand and analyze its mechanical behavior under different loads and boundary conditions.

[0094] In this embodiment, in the finite element model, each cell is assumed to be a tiny "particle" with a certain shape and size. All physical quantities of this particle (such as displacement, strain, temperature, etc.) can be represented by a set of values, which are used to calculate the stress and strain of the cell.

[0095] The beneficial effects of the above technical solution are: by determining the material stress of each cell based on the stress distribution and deformation of the flexible photovoltaic support and the properties of each material, the stress state of the photovoltaic support can be better understood. Furthermore, by analyzing the results output by the model and evaluating the performance of the flexible photovoltaic support, it can be ensured that the flexible photovoltaic support can operate safely and reliably under various stress conditions.

[0096] Example 4:

[0097] Based on Example 3, this embodiment of the invention identifies the factors affecting the safe use and lifespan of flexible photovoltaic supports, and constructs a load simulation model of the flexible photovoltaic support under different influencing factors based on material properties, including:

[0098] Obtain safe use and lifespan records of flexible photovoltaic brackets, determine the correlation between safe use and lifespan based on the records, and determine the factors affecting the safe use and lifespan of flexible photovoltaic brackets based on the correlation.

[0099] The parameter data of the flexible photovoltaic support are determined based on the material properties of the flexible photovoltaic support, and various external load conditions are obtained.

[0100] Set boundary conditions for the flexible photovoltaic support according to the design requirements, and determine the displacement of the flexible photovoltaic support under different loads.

[0101] Based on the various external load conditions, the displacement of the flexible photovoltaic support under different loads, and the structural characteristics of the flexible photovoltaic support, a load simulation model of the flexible photovoltaic support under different influencing factors is constructed.

[0102] In this embodiment, the parameter data of the flexible photovoltaic support include: material type, cross-sectional shape, and thickness.

[0103] In this embodiment, various external load conditions include: wind speed, temperature, and gravitational acceleration.

[0104] In this embodiment, the boundary conditions include: constraining the support points and limiting the deformation range.

[0105] In this embodiment, the load simulation model of the flexible photovoltaic support is used to predict and evaluate the load that the photovoltaic support may bear under different working conditions.

[0106] The beneficial effects of the above technical solution are: to identify the factors affecting the safe use and lifespan of flexible photovoltaic brackets, and to construct a load simulation model of flexible photovoltaic brackets under different influencing factors in combination with material properties. By considering the influence of different factors on photovoltaic brackets, the design can be more scientific and reasonable, avoiding the design of photovoltaic brackets that does not meet actual needs due to over-reliance on experience or simplified models, thereby reducing safety risks. At the same time, it improves the reliability of the model and ensures accurate assessment of the load capacity of flexible photovoltaic brackets.

[0107] Example 5:

[0108] Based on Example 4, this embodiment of the invention determines the correlation between safe use and lifespan according to the records, including:

[0109] Obtain safe use and lifespan records of flexible photovoltaic brackets based on maintenance records and inspection reports;

[0110] The records are organized into a data table according to a preset format, and the data is analyzed using statistical analysis tools.

[0111] The analysis results were used to obtain the average service life of each flexible photovoltaic support and the differences between flexible photovoltaic supports of different types and installation locations.

[0112] The failure modes of flexible photovoltaic supports are obtained based on the differences between the different types and installation locations of the flexible photovoltaic supports.

[0113] The correlation between safe use and lifespan is determined based on the average service life of each flexible photovoltaic support and the existing failure modes.

[0114] In this embodiment, the data table includes information such as date, type of photovoltaic bracket, installation location, and usage time and lifespan of each bracket.

[0115] In this embodiment, the statistical analysis tools include: frequency distribution table, histogram, and box plot.

[0116] In this embodiment, the failure modes of the flexible photovoltaic support include:

[0117] Insufficient structural strength: Wind loads, snow loads or other external loads may cause damage or deformation to the support structure, thereby affecting the safe installation and use of photovoltaic modules.

[0118] Cable damage: Cables are important components that connect photovoltaic modules and inverters. If cables are damaged during use, the photovoltaic modules will not function properly, and may even cause safety problems such as fires.

[0119] Electrical connection failure: The electrical connection is a critical part between the photovoltaic module and the inverter. If the electrical connection is loose, broken, or oxidized, it will affect the normal operation of the photovoltaic module and may even lead to safety hazards such as short circuits.

[0120] In this embodiment, the correlation between the safe use and lifespan of the flexible photovoltaic support means that long-term overload operation or improper maintenance may lead to premature aging and damage, thereby shortening its service life.

[0121] The beneficial effects of the above technical solution are: by determining the correlation between safe use and lifespan based on the average service life of each flexible photovoltaic support and the existing failure modes, accidents caused by exceeding the safe load or lifespan limit of the photovoltaic support can be greatly avoided.

[0122] Example 6:

[0123] Based on Example 5, this embodiment of the invention uses a load simulation model to perform multiple loading simulations to obtain various performance parameters of the flexible photovoltaic support under different influencing factors, including:

[0124] The load simulation model is initialized before each simulation is performed;

[0125] Different loading conditions are set for the load simulation model of flexible photovoltaic support according to actual working conditions and influencing factors, and corresponding load effects are added to the model.

[0126] For each set of loading conditions, simulation calculations were performed on the flexible photovoltaic support model, and multiple parameters were controlled.

[0127] The simulation results under each set of loading conditions were extracted to obtain multiple performance parameters of the flexible photovoltaic support under different influencing factors.

[0128] In this embodiment, initializing the load simulation model refers to setting up and adjusting a series of parameters of the model before starting the simulation process, such as defining the structure and components of the model, including the model's geometry, material type, stress analysis, and boundary conditions.

[0129] In this embodiment, the operating conditions of the flexible photovoltaic support include: operating temperature range, wind load capacity, and seismic intensity.

[0130] In this embodiment, the influencing factors include: environmental influencing factors and climate influencing factors.

[0131] In this embodiment, setting different loading conditions for the load simulation model of the flexible photovoltaic support means assigning corresponding load conditions to the model based on different usage environments, wind speeds, climate conditions, etc., such as self-weight, force, and temperature.

[0132] In this embodiment, the parameters include: time step and accuracy.

[0133] In this embodiment, multiple performance parameters include: stress, strain, deflection, and stiffness.

[0134] The beneficial effects of the above technical solution are: by performing multiple loading simulations through a load simulation model, and by simulating different working conditions and combinations, the load-bearing capacity and stability of the photovoltaic power station can be evaluated more accurately. Furthermore, by obtaining multiple performance parameters of the flexible photovoltaic support under different influencing factors, quantitative data can be provided and potential problems can be revealed, thereby improving the load-bearing capacity of the flexible photovoltaic support.

[0135] Example 7:

[0136] Based on Example 6, this embodiment of the invention determines the potential safety hazards and design defects of the flexible photovoltaic support according to performance parameters, and analyzes, improves and optimizes them, including:

[0137] The functions of each part of the flexible photovoltaic support and the coordination methods between the parts are determined based on the performance parameters.

[0138] The structure and working principle of the flexible photovoltaic support are obtained based on the functions of each part and the coordination between the parts.

[0139] Based on the structure and working principle of the flexible photovoltaic support and combined with physical testing, potential safety hazards and design defects of the flexible photovoltaic support were determined.

[0140] Based on the potential safety hazards and design flaws, determine the scope and degree of impact; based on the scope and degree of impact, determine the corresponding solution strategies; and based on the solution strategies, conduct analysis, improvement, and optimization.

[0141] In this embodiment, the functions of each part of the flexible photovoltaic support include:

[0142] Uprights: Used to support the entire support system, they are usually made of high-strength steel.

[0143] Diagonal bracing: connects the column and the stay cable, and plays a role in distributing the load.

[0144] Stay cables: bear and transmit the load generated by the photovoltaic panels to the ground or other fixed structures.

[0145] Support: Located at the bottom of the support system, used to transfer the load of the support system to the foundation.

[0146] Electrical system: including inverters, controllers, etc., responsible for converting the direct current generated by the photovoltaic panels into alternating current output.

[0147] In this embodiment, the coordination method of each part can be:

[0148] The columns bear the main vertical load and are connected to the diagonal bracing and stay cables to form a stable structural system.

[0149] The diagonal bracing and cable stays work together on the column to achieve distributed load-bearing for the photovoltaic panels.

[0150] In this embodiment, the flexible photovoltaic support is a technology that automatically adjusts its angle according to the sun's trajectory to maximize the power generation efficiency of the photovoltaic modules.

[0151] In this embodiment, physical testing refers to, for example, tensile, compression and bending tests, impact tests, and temperature cycling tests.

[0152] In this embodiment, potential safety hazards of flexible photovoltaic brackets may include: material aging, loosening of components, and electrical safety issues.

[0153] In this embodiment, design defects of the flexible photovoltaic support may include: uneven stress on the photovoltaic modules, welding quality issues, and improper material selection.

[0154] The beneficial effects of the above technical solution are: by identifying potential safety hazards and design defects of flexible photovoltaic brackets through performance parameters, and by analyzing, improving and optimizing them, the safety of photovoltaic brackets can be improved, thereby ensuring the safety and reliability of photovoltaic brackets during use. At the same time, it can improve the economic efficiency of photovoltaic power plants, avoid losses and increased maintenance costs due to failures, and thus improve the economic benefits of photovoltaic power plants.

[0155] Example 8:

[0156] Based on Example 7, before obtaining the design structural parameters and material parameters of the flexible photovoltaic support and determining the material properties of the flexible photovoltaic support based on the structural parameters and material parameters, this embodiment of the invention further includes:

[0157] Based on the design structure of the flexible photovoltaic support, the key load-bearing structural components are determined, and the load damage equivalent transformation parameters of the key load-bearing structural components are obtained.

[0158] The effective load range and failure load range of key load structural components are determined based on the load damage equivalent transformation parameters.

[0159] The theoretical maximum load of the critical load structural component is determined based on the last value of the effective load range and the first value of the failure load range.

[0160] The loading rate and loading intensity are determined based on the theoretical maximum load under dynamic and static load conditions, respectively.

[0161] The data response characteristics of the critical load structure are determined based on the loading rate, loading intensity, and load frequency response function of the critical load structure.

[0162] The load data acquisition cycle for key load structural components is set based on the data response characteristics, and the load data acquisition range for key load structural components is also set.

[0163] Acquire the acquisition data of each acquisition point within the acquisition range in different sensing directions, and use the direction error as a sensing error factor to correct the acquisition data;

[0164] Determine the membership index corresponding to the data collected at each collection point in different sensing directions;

[0165] The data collected by the collection points in different sensing directions are effectively evaluated based on the membership index, and the spatial domain statistics of the effective data of each collection point are performed based on the evaluation results.

[0166] The statistical results are quantified, and the optimal data collection points for each critical load structural component are determined based on the quantified data.

[0167] In this embodiment, the key load-bearing structural components of the flexible photovoltaic support are parts used to support and connect photovoltaic panels and modules, such as crossbeams and diagonal braces.

[0168] In this embodiment, the load damage equivalent conversion parameter of the critical load structural component refers to the conversion of the actual load into the effective load value borne by the structural component, such as: elastic modulus, yield strength, ultimate stress and failure stress.

[0169] In this embodiment, the effective load range refers to the maximum design load that the photovoltaic support bracket can withstand during installation and use.

[0170] In this embodiment, the failure load range refers to the maximum stress level at which critical load structural components may fail or lose their load-bearing capacity under extreme conditions.

[0171] In this embodiment, the load frequency response function of the critical load structure is a mathematical model that describes the dynamic response relationship between deformation and stress of the structure under different frequency loads.

[0172] In this embodiment, data response characteristics refer to the reaction or behavior of a structure under specific conditions when subjected to external loads or environmental changes.

[0173] In this embodiment, the membership index of a collection point is a measure used to measure the relationship between a point and multiple sets.

[0174] The beneficial effects of the above technical solution are: by effectively evaluating the collected data of the collection points in different sensing directions based on the membership index, performing spatial domain statistics on the collected data of each collection point, and determining the optimal data collection point for each key load structural component, the accuracy of the data can be guaranteed and the reliability of the data can be improved.

[0175] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0176] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for load simulation and analysis of flexible photovoltaic supports, characterized in that, include: Step 1: Obtain the design structural parameters and material parameters of the flexible photovoltaic (PV) support, and determine the material properties of the flexible PV support based on these parameters. Specifically, this includes: obtaining the application scenarios and usage requirements of the flexible PV support; determining the material specifications of the flexible PV support based on these scenarios and requirements; determining the design structural parameters and material parameters of the flexible PV support based on these specifications; constructing a mathematical model based on the design structural parameters and material parameters, combined with the finite element method; obtaining the structural behavior of the flexible PV support and its interaction with the environment based on the mathematical model; and determining the material properties of the flexible PV support based on its structural behavior and its interaction with the environment. The material properties include: elastic modulus, density, thermal conductivity, yield strength, and Poisson's ratio; Step 2: Identify the factors affecting the safe use and lifespan of flexible photovoltaic supports, and construct load simulation models of flexible photovoltaic supports under different influencing factors based on material properties; Step 3: Perform multiple loading simulations using the load simulation model to obtain various performance parameters of the flexible photovoltaic support under different influencing factors. Specifically, this includes: initializing the load simulation model before each loading simulation; setting different loading conditions for the flexible photovoltaic support load simulation model based on actual working conditions and influencing factors, and adding corresponding loads to the model; performing simulation calculations on the flexible photovoltaic support model for each set of loading conditions, and controlling multiple parameters; extracting the simulation results for each set of loading conditions to obtain various performance parameters of the flexible photovoltaic support under different influencing factors. Step 4: Identify potential safety hazards and design flaws of flexible photovoltaic brackets based on performance parameters, and conduct analysis, improvement and optimization.

2. The load simulation and analysis method for flexible photovoltaic supports according to claim 1, characterized in that, Based on the design structural parameters and material parameters of the flexible photovoltaic support, and after constructing a mathematical model using the finite element method, the model includes: Environmental factor data of the flexible photovoltaic support are obtained based on the design structural parameters and material parameters of the flexible photovoltaic support. The flexible photovoltaic support is meshed and a three-dimensional finite element model is created. The stress distribution and deformation of the flexible photovoltaic support are determined based on the finite element model. The material stress of each cell is determined based on the stress distribution and deformation of the flexible photovoltaic support and the properties of each material. The performance of the flexible photovoltaic support is evaluated based on the material stress of each cell and the results of the model output by the solver.

3. The load simulation and analysis method for flexible photovoltaic supports according to claim 1, characterized in that, Factors affecting the safe use and lifespan of flexible photovoltaic (PV) mounting systems were identified. Based on material properties, load simulation models of the flexible PV mounting systems under different influencing conditions were constructed, including: Obtain safe use and lifespan records of flexible photovoltaic brackets, determine the correlation between safe use and lifespan based on the records, and determine the factors affecting the safe use and lifespan of flexible photovoltaic brackets based on the correlation. The parameter data of the flexible photovoltaic support are determined based on the material properties of the flexible photovoltaic support, and various external load conditions are obtained. Set boundary conditions for the flexible photovoltaic support according to the design requirements, and determine the displacement of the flexible photovoltaic support under different loads. Based on the various external load conditions, the displacement of the flexible photovoltaic support under different loads, and the structural characteristics of the flexible photovoltaic support, a load simulation model of the flexible photovoltaic support under different influencing factors is constructed.

4. The load simulation and analysis method for flexible photovoltaic supports according to claim 3, characterized in that, Determining the correlation between safe use and lifespan based on the records includes: Obtain safe use and lifespan records of flexible photovoltaic brackets based on maintenance records and inspection reports; The records are organized into a data table according to a preset format, and the data is analyzed using statistical analysis tools. The analysis results were used to obtain the average service life of each flexible photovoltaic support and the differences between flexible photovoltaic supports of different types and installation locations. The failure modes of flexible photovoltaic supports are obtained based on the differences between the different types and installation locations of the flexible photovoltaic supports. The correlation between safe use and lifespan is determined based on the average service life of each flexible photovoltaic support and the existing failure modes.

5. The load simulation and analysis method for flexible photovoltaic supports according to claim 1, characterized in that, Based on performance parameters, potential safety hazards and design flaws of flexible photovoltaic supports are identified, and analysis, improvement, and optimization are carried out, including: The functions of each part of the flexible photovoltaic support and the coordination methods between the parts are determined based on the performance parameters. The structure and working principle of the flexible photovoltaic support are obtained based on the functions of each part and the coordination between the parts. Based on the structure and working principle of the flexible photovoltaic support and combined with physical testing, potential safety hazards and design defects of the flexible photovoltaic support were determined. Based on the potential safety hazards and design flaws, determine the scope and degree of impact; based on the scope and degree of impact, determine the corresponding solution strategies; and based on the solution strategies, conduct analysis, improvement, and optimization.

6. The load simulation and analysis method for flexible photovoltaic supports according to claim 1, characterized in that, Before obtaining the design structural and material parameters of the flexible photovoltaic support, and determining the material properties of the flexible photovoltaic support based on the structural and material parameters, the process also includes: Based on the design structure of the flexible photovoltaic support, the key load-bearing structural components are determined, and the load damage equivalent transformation parameters of the key load-bearing structural components are obtained. The effective load range and failure load range of key load structural components are determined based on the load damage equivalent transformation parameters. The theoretical maximum load of the critical load structural component is determined based on the last value of the effective load range and the first value of the failure load range. The loading rate and loading intensity are determined based on the theoretical maximum load under dynamic and static load conditions, respectively. The data response characteristics of the critical load structure are determined based on the loading rate, loading intensity, and load frequency response function of the critical load structure. The load data acquisition cycle for key load structural components is set based on the data response characteristics, and the load data acquisition range for key load structural components is also set. Acquire the acquisition data of each acquisition point within the acquisition range in different sensing directions, and use the direction error as a sensing error factor to correct the acquisition data; Determine the membership index corresponding to the data collected at each collection point in different sensing directions; The data collected by the collection points in different sensing directions are effectively evaluated based on the membership index, and the spatial domain statistics of the effective data of each collection point are performed based on the evaluation results. The statistical results are quantified, and the optimal data collection points for each critical load structural component are determined based on the quantified data.

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