Method and system for detecting wind resistance of flexible photovoltaic support system

Abstract

The embodiment of the invention relates to the technical field of photovoltaic support detection, and particularly discloses a method and a system for detecting the wind resistance of a flexible photovoltaic support system. According to the embodiment of the invention, dynamic meteorological data of a wind-resistant detection area are obtained; modeling processing is carried out, and a regional support model is constructed; creating a dynamic simulation model, performing influence division on the anti-wind detection area, and determining a plurality of detection influence sub-areas; and carrying out dynamic simulation processing and detection recording, and generating a wind resistance capability detection report of the flexible photovoltaic support system. Modeling processing can be carried out on photovoltaic support data, dynamic meteorological data are integrated, a dynamic simulation model is created, influence division is carried out on a wind-resistant detection area, a plurality of detection influence sub-areas are determined, and a wind-resistant capacity detection report is generated through dynamic simulation and detection records. Therefore, overall comprehensive and regional multi-dimensional detection of the flexible photovoltaic support is realized, actual detection is not needed, the detection cost is reduced, and popularization and application of the technology are facilitated.

Description

Technical Field

[0001] The present invention belongs to the technical field of photovoltaic support detection, and in particular relates to a method and system for detecting the wind resistance of a flexible photovoltaic support system. Background Art

[0002] Flexible photovoltaic support is a structural system specially designed to support photovoltaic modules. It adopts a tension structure system with fixed ends and uses cables as the main supporting components to form a photovoltaic module support structure that can cover a large span area.

[0003] The wind resistance test of the flexible photovoltaic support system is to evaluate the stability and safety of the system under severe weather conditions such as strong winds through a series of test methods. These tests are to ensure that the flexible photovoltaic support can withstand the maximum wind speed in a specific area without damage or functional failure in actual use.

[0004] In the prior art, the wind resistance test of flexible photovoltaic brackets is usually only carried out individually, rather than an overall test of the flexible photovoltaic brackets in the entire area. The wind resistance test is not comprehensive, and high-precision and high-sensitivity measuring equipment and instruments are usually used for actual testing, which has high purchase and maintenance costs and is not conducive to the promotion and use of technology. Summary of the invention

[0005] The purpose of the embodiments of the present invention is to provide a method and system for detecting the wind resistance of a flexible photovoltaic support system, aiming to solve the problems raised in the background technology.

[0006] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions: A method for detecting wind resistance of a flexible photovoltaic support system, the method specifically comprising the following steps: Determine a wind resistance detection area, and obtain dynamic meteorological data of the wind resistance detection area; Acquire photovoltaic support data of the flexible photovoltaic support system, perform modeling on the photovoltaic support data, and construct a regional support model; Integrating the regional support model and the dynamic meteorological data, creating a dynamic simulation model, and dividing the wind resistance detection area into impact areas to determine a plurality of detection impact sub-areas; Dynamic simulation processing is performed on the dynamic simulation model, wind resistance detection records are performed on the multiple detection impact sub-areas, and a wind resistance detection report for the flexible photovoltaic support system is generated.

[0007] A flexible photovoltaic support system wind resistance detection system, the system includes a dynamic meteorological acquisition unit, a data modeling processing unit, a regional impact division unit and a dynamic simulation processing unit, wherein: A dynamic meteorological acquisition unit, used to determine a wind-resistant detection area and acquire dynamic meteorological data of the wind-resistant detection area; A data modeling processing unit, used for acquiring photovoltaic support data of the flexible photovoltaic support system, performing modeling processing on the photovoltaic support data, and constructing a regional support model; A regional impact division unit, used to integrate the regional support model and the dynamic meteorological data, create a dynamic simulation model, and divide the impact of the wind resistance detection area to determine a plurality of detection impact sub-areas; The dynamic simulation processing unit is used to perform dynamic simulation processing on the dynamic simulation model, perform wind resistance detection records on multiple detection impact sub-areas, and generate a wind resistance detection report for the flexible photovoltaic support system.

[0008] Compared with the prior art, the present invention has the following beneficial effects: The embodiment of the present invention obtains dynamic meteorological data of the wind resistance detection area; performs modeling processing to construct a regional bracket model; creates a dynamic simulation model, divides the wind resistance detection area into impact areas, and determines multiple detection impact sub-areas; performs dynamic simulation processing and detection records to generate a wind resistance capacity detection report for the flexible photovoltaic bracket system. The photovoltaic bracket data can be modeled, and the dynamic meteorological data can be integrated to create a dynamic simulation model, and the wind resistance detection area can be divided into impact areas, and multiple detection impact sub-areas can be determined. Through dynamic simulation and detection records, a wind resistance capacity detection report is generated, thereby realizing the overall comprehensive and divided multi-dimensional detection of the flexible photovoltaic bracket, and there is no need to perform actual detection, which reduces the detection cost and is conducive to the promotion and use of technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0010] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0011] Figure 2 A flow chart of obtaining dynamic meteorological data in the method provided in an embodiment of the present invention is shown.

[0012] Figure 3 A flow chart of regional geographic information processing in the method provided by an embodiment of the present invention is shown.

[0013] Figure 4 A flow chart of constructing a regional support model in the method provided in an embodiment of the present invention is shown.

[0014] Figure 5A flow chart of dividing detection-affected sub-regions in the method provided by an embodiment of the present invention is shown.

[0015] Figure 6 A flow chart of generating a wind resistance detection report in the method provided in an embodiment of the present invention is shown.

[0016] Figure 7 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0017] Figure 8 The structure block diagram of the dynamic weather acquisition unit in the system provided by the embodiment of the present invention is shown.

[0018] Fig. 9 A structural block diagram of a data modeling processing unit in a system provided by an embodiment of the present invention is shown.

[0019] Fig.10 The structure block diagram of the regional impact division unit in the system provided by the embodiment of the present invention is shown. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0021] It is understandable that in the prior art, the wind resistance test of flexible photovoltaic brackets is usually only a single test, rather than an overall test of the flexible photovoltaic brackets in the entire area. The wind resistance test is not comprehensive, and high-precision and high-sensitivity measuring equipment and instruments are usually used for actual testing, which has high purchase and maintenance costs, and is not conducive to the promotion and use of technology.

[0022] To solve the above problems, the embodiments of the present invention determine the wind resistance detection area, obtain the dynamic meteorological data of the wind resistance detection area; obtain the photovoltaic support data of the flexible photovoltaic support system, model the photovoltaic support data, and construct a regional support model; integrate the regional support model and dynamic meteorological data to create a dynamic simulation model, and divide the wind resistance detection area into different impact areas, and determine multiple detection impact sub-areas; perform dynamic simulation processing on the dynamic simulation model, perform wind resistance detection records on multiple detection impact sub-areas, and generate a wind resistance detection report for the flexible photovoltaic support system. The photovoltaic support data can be modeled, and the dynamic meteorological data can be integrated to create a dynamic simulation model, and the wind resistance detection area can be divided into different impact areas, and multiple detection impact sub-areas can be determined. Through dynamic simulation and detection records, a wind resistance detection report can be generated, thereby realizing the overall comprehensive and multi-dimensional detection of the flexible photovoltaic support and the divided areas, and there is no need to perform actual detection, which reduces the detection cost and is conducive to the promotion and use of technology.

[0023] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0024] Specifically, a method for detecting the wind resistance of a flexible photovoltaic support system comprises the following steps: Step S101, determine a wind-resistant detection area, and obtain dynamic meteorological data of the wind-resistant detection area.

[0025] In an embodiment of the present invention, by determining the wind-resistant detection area of ​​the flexible photovoltaic support system, and then obtaining the regional geographic information corresponding to the wind-resistant detection area, and receiving the dynamic collection settings of the wind-resistant detection area by the detection management personnel, the dynamic collection setting is analyzed by setting the cycle and setting the type, and the dynamic collection cycle and multiple dynamic collection types are determined. Then, according to the regional geographic information, the dynamic collection cycle and the multiple dynamic collection types, periodic dynamic meteorological collection is performed on the wind-resistant detection area to obtain dynamic meteorological data. Specifically, the multiple dynamic collection types may include: wind direction, wind speed, sun position, rain, snow, etc.

[0026] Specifically, Figure 2 A flow chart of obtaining dynamic meteorological data in the method provided in an embodiment of the present invention is shown.

[0027] Among them, in the preferred embodiment provided by the present invention, the determining of the wind resistance detection area and obtaining the dynamic meteorological data of the wind resistance detection area specifically include the following steps: Step S1011, determining the wind resistance detection area of ​​the flexible photovoltaic support system; Step S1012, obtaining regional geographic information of the wind resistance detection area; Step S1013, obtaining dynamic meteorological data of the wind resistance detection area according to the regional geographical information.

[0028] Among them, in the preferred embodiment provided by the present invention, the determination of the wind resistance detection area of ​​the flexible photovoltaic support system specifically includes the following steps: Select a preliminary area and obtain geographic information and dynamic meteorological data within the preliminary area; Acquire data of a photovoltaic support system, wherein the data of the photovoltaic support system includes size data and material strength; Based on the random forest regression model, historical data is used to train the random forest regression model to obtain a wind prediction model; Input current geographic information into the wind prediction model to predict future wind influencing factors; Calculate geographic influence factors based on latitude and altitude; Calculate and determine the influence factors of the collection settings on the detection area based on the collection period and meteorological type of dynamic meteorological data; The influencing factors of the support structure are calculated using the dimensional data and material strength; Multiply the geographical influencing factor, the influencing factor of the acquisition setting on the detection area, and the influencing factor of the support structure to obtain the initial influencing factor of the wind resistance detection area; The future wind force influencing factors are used to adjust the initial wind resistance detection area influencing factors to obtain the final optimized area.

[0029] In the embodiment of the present invention, a preliminary area is first selected, and then the predicted wind impact is combined with the calculated impact factor to dynamically adjust the detection area to ensure that the system can adapt to different wind conditions. The optimized wind-resistant detection area can help design a safer and more efficient photovoltaic support system and reduce the risk of system damage caused by wind.

[0030] Specifically, Figure 3 A flow chart of regional geographic information processing in the method provided by an embodiment of the present invention is shown.

[0031] Among them, in the preferred embodiment provided by the present invention, the acquisition of dynamic meteorological data of the wind resistance detection area according to the regional geographical information specifically includes the following steps: Step S10131, receiving dynamic collection settings for the wind resistance detection area; Step S10132, determining a dynamic collection period according to the dynamic collection setting; Step S10133, determining multiple dynamic collection types according to the dynamic collection setting; Step S10134, performing periodic dynamic meteorological collection on the wind resistance detection area according to the regional geographical information, the dynamic collection period and the multiple dynamic collection types, to obtain dynamic meteorological data.

[0032] Furthermore, the method for detecting the wind resistance of the flexible photovoltaic support system further comprises the following steps: Step S102, obtaining photovoltaic support data of the flexible photovoltaic support system, modeling the photovoltaic support data, and constructing a regional support model.

[0033] In an embodiment of the present invention, photovoltaic bracket data of a flexible photovoltaic bracket system is acquired and then analyzed to extract photovoltaic model data of the photovoltaic bracket structure from the photovoltaic bracket data. At the same time, a model visualization environment is created. In the model visualization environment, the flexible photovoltaic bracket system in the wind resistance detection area is three-dimensionally modeled according to the photovoltaic model data to construct a regional bracket model.

[0034] Specifically, Figure 4 A flow chart of constructing a regional support model in the method provided in an embodiment of the present invention is shown.

[0035] Among them, in the preferred embodiment provided by the present invention, the obtaining of photovoltaic support data of the flexible photovoltaic support system, modeling of the photovoltaic support data, and construction of the regional support model specifically include the following steps: Step S1021, obtaining photovoltaic support data of the flexible photovoltaic support system; Step S1022, analyzing the photovoltaic support data to extract photovoltaic model data; Step S1023, creating a model visualization environment; Step S1024, in the model visualization environment, modeling processing is performed according to the photovoltaic model data to construct a regional bracket model.

[0036] Among them, in the preferred embodiment provided by the present invention, the analysis of the photovoltaic bracket data and the extraction of photovoltaic model data specifically include the following steps: Obtaining the original photovoltaic bracket data matrix, the photovoltaic bracket data matrix includes the bracket's tilt angle, material properties, and position characteristics; Perform Fourier transform on the photovoltaic bracket data matrix to obtain the Fourier transform result; Applying an adaptive filtering operation on the basis of the Fourier transform result to obtain a filtering result, and performing an inverse Fourier transform on the filtering result to obtain a signal feature; Perform wavelet transform on the photovoltaic bracket data matrix to obtain wavelet transform features; The principal component analysis operation is performed on the original photovoltaic bracket data matrix to obtain the target key features; The signal features, wavelet transform features and target key features are combined in a weighted manner to obtain combined features; Normalize the combined features to obtain normalized combined features; Normalize the original photovoltaic bracket data matrix to obtain normalized photovoltaic bracket data; The covariance matrix is ​​calculated using the normalized combined features and the normalized photovoltaic bracket data; The original photovoltaic bracket data matrix is ​​input into the linear regression model to obtain the weight matrix; Use linear algebra to calculate the determinant of the weight matrix; Substitute the determinants of the covariance matrix and the weight matrix into the sigmoid activation function for activation to obtain a vector of photovoltaic model parameters. The vectors of multiple photovoltaic model parameters constitute the photovoltaic model data.

[0037] In the embodiment of the present invention, by combining Fourier transform and wavelet transform, this method can capture multi-scale features in the data. Fourier transform is suitable for capturing global periodic features, while wavelet transform can identify local instantaneous changes and is suitable for complex photovoltaic system data analysis. In addition, through detailed covariance analysis and weight matrix adjustment, the correlation between data features can be more accurately captured, thereby improving the accuracy of photovoltaic model parameter identification.

[0038] Furthermore, the method for detecting the wind resistance of the flexible photovoltaic support system further comprises the following steps: Step S103, integrating the regional support model and the dynamic meteorological data, creating a dynamic simulation model, and dividing the wind resistance detection area into influence areas to determine a plurality of detection influence sub-areas.

[0039] In an embodiment of the present invention, dynamic meteorological data is imported into a model visualization environment, the dynamic meteorological data is comprehensively processed, a dynamic simulation model is generated, and regional division requirements are obtained. According to the regional division requirements, the wind resistance detection area is affected and divided, and multiple detection impact sub-areas are determined. Specifically, the multiple detection impact sub-areas may include: a direct area affected by the wind, an intermediate area affected by the wind, a rear end area affected by the wind, an edge area affected by the wind, etc.

[0040] Specifically, Figure 5 A flow chart of dividing detection-affected sub-regions in the method provided by an embodiment of the present invention is shown.

[0041] Among them, in the preferred embodiment provided by the present invention, the integration of the regional support model and the dynamic meteorological data to create a dynamic simulation model, and the impact division of the wind resistance detection area, and determining multiple detection impact sub-areas specifically include the following steps: Step S1031, importing the dynamic meteorological data into the model visualization environment; Step S1032, integrating the regional support model and the dynamic meteorological data to generate a dynamic simulation model; Step S1033, obtaining area division requirements; Step S1034: according to the area division requirement, the wind resistance detection area is divided into impact areas to determine a plurality of detection impact sub-areas.

[0042] Among them, in the preferred implementation manner provided by the present invention, the wind resistance detection area is divided into influence areas according to the area division requirements, and the determination of multiple detection influence sub-areas specifically includes the following steps: Integrate regional geographic information, dynamic meteorological data, and photovoltaic model data into a comprehensive data set, and standardize the comprehensive data set; The number of clusters of the KMeans algorithm is set according to the division requirements, and the standardized comprehensive data set is clustered using the KMeans clustering algorithm to obtain several clusters, where each cluster represents a potential detection-affected sub-region; The weighted dynamic adjustment is performed on each cluster center to obtain the influence index; According to the division requirements, the influence index of each cluster is evaluated to see whether it meets the division criteria. If the influence index of a cluster meets the criteria of the division requirements, the cluster is determined as the final detection influence sub-region.

[0043] In the embodiment of the present invention, KMeans clustering is used to automatically identify patterns and rules in the data, reduce the influence of human subjective judgment, improve the efficiency and accuracy of division, and consider multiple features in the clustering process to more comprehensively analyze the specific situation of each area. This refined analysis helps to identify the unique influencing factors of different areas, so as to make more reasonable divisions.

[0044] Furthermore, the method for detecting the wind resistance of the flexible photovoltaic support system further comprises the following steps: Step S104, performing dynamic simulation processing on the dynamic simulation model, performing wind resistance detection records on the plurality of detection impact sub-areas, and generating a wind resistance detection report for the flexible photovoltaic support system.

[0045] In an embodiment of the present invention, dynamic simulation processing is performed on the dynamic simulation model, the dynamic simulation results are recorded, and based on the dynamic simulation results, wind resistance detection records are performed on multiple detection impact sub-areas, multiple sub-area impact data are obtained, and then wind resistance detection and analysis are performed on the multiple sub-area impact data to generate multiple sub-area detection information, and then the multiple sub-area detection information is comprehensively sorted according to a preset comprehensive sorting template to generate a wind resistance detection report for the flexible photovoltaic support system.

[0046] Specifically, Figure 6 A flow chart of generating a wind resistance detection report in the method provided in an embodiment of the present invention is shown.

[0047] Among them, in the preferred embodiment provided by the present invention, the dynamic simulation model is dynamically simulated, the wind resistance detection record is performed on the multiple detection impact sub-areas, and the wind resistance detection report of the flexible photovoltaic support system is generated, which specifically includes the following steps: Step S1041, performing dynamic simulation processing on the dynamic simulation model and recording dynamic simulation results; Step S1042, based on the dynamic simulation result, performing wind resistance detection and recording on the plurality of detection impact sub-areas, and obtaining impact data of the plurality of sub-areas; Step S1043, performing wind resistance detection and analysis on the impact data of the plurality of sub-regions to generate a plurality of sub-region detection information; Step S1044, integrating the detection information of the plurality of sub-areas to generate a wind resistance detection report of the flexible photovoltaic support system.

[0048] Among them, in the preferred embodiment provided by the present invention, the integration of the detection information of the plurality of sub-areas to generate a wind resistance detection report of the flexible photovoltaic support system specifically includes the following steps: Collect sub-area impact data for each sub-area, including wind speed, wind direction, support elastic coefficient, material strength and ambient humidity; The wind speed is squared to calculate the nonlinear impact of wind speed on the overall wind resistance; The nonlinear influence value of wind speed on the overall wind resistance is multiplied by the cosine value of wind direction to calculate the influence value of wind direction on the actual wind speed; Divide the influence of wind direction on actual wind speed by the elastic coefficient of the bracket to obtain the factor of the bracket's flexibility and wind resistance; The material strength is combined with the wind speed, and then the natural logarithm operation is performed to simulate the effect of the logarithmic relationship of the increase in material strength on the wind resistance under high wind speed, so as to obtain the material strength wind resistance factor; Perform a sine function operation on the ambient humidity to obtain the humidity value, and then multiply the ratio of the humidity value to 100 by π to simulate the periodic effect of humidity on wind resistance, so as to obtain the factor of humidity affecting wind resistance; The wind resistance factor of the support flexibility, the wind resistance factor of the material strength and the wind resistance factor of the humidity are weighted and combined to obtain a comprehensive evaluation value of the wind resistance; The exponential decay term reflecting the joint attenuation effect of wind speed and humidity on wind resistance is constructed using wind speed, support elastic coefficient, material strength and ambient humidity; The logarithmic attenuation term is applied to the comprehensive evaluation value of wind resistance to obtain the comprehensive sub-regional contribution; The contributions of all comprehensive sub-areas are accumulated to obtain a comprehensive evaluation value of the overall wind resistance, and a wind resistance test report of the flexible photovoltaic support system is generated based on the comprehensive evaluation value of the overall wind resistance.

[0049] In an embodiment of the present invention, multiple key factors are considered, including wind speed, wind direction, support elasticity, material strength and ambient humidity. This multi-factor comprehensive evaluation can more comprehensively reflect the complexity of the actual situation. Through nonlinear calculations, the nonlinear effects of various factors in practice can be more accurately simulated, making the evaluation closer to the actual situation. In addition, in order to ensure a better evaluation, the periodic effect of ambient humidity and the attenuation effect of wind speed and humidity are modeled, which can reflect the changes in the wind resistance of these factors under different conditions.

[0050] Furthermore, Figure 7 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0051] Among them, in another preferred embodiment provided by the present invention, the flexible photovoltaic support system wind resistance detection system includes: The dynamic meteorological acquisition unit 101 is used to determine a wind-resistant detection area and acquire dynamic meteorological data of the wind-resistant detection area.

[0052] In an embodiment of the present invention, the dynamic meteorological acquisition unit 101 determines the wind-resistant detection area of ​​the flexible photovoltaic support system, obtains the regional geographical information corresponding to the wind-resistant detection area, and receives the dynamic collection settings of the wind-resistant detection area by the detection management personnel, and determines the dynamic collection cycle and multiple dynamic collection types by performing setting cycle analysis and setting type analysis on the dynamic collection settings, and then performs periodic dynamic meteorological collection on the wind-resistant detection area according to the regional geographical information, the dynamic collection cycle and the multiple dynamic collection types to obtain dynamic meteorological data. Specifically, the multiple dynamic collection types may include: wind direction, wind speed, sun position, rain, snow, etc.

[0053] Specifically, Figure 8The structure block diagram of the dynamic weather acquisition unit 101 in the system provided by the embodiment of the present invention is shown.

[0054] Among them, in the preferred embodiment provided by the present invention, the dynamic weather acquisition unit 101 specifically includes: The area determination module 1011 is used to determine the wind resistance detection area of ​​the flexible photovoltaic support system; An information acquisition module 1012 is used to acquire regional geographic information of the wind resistance detection area; The meteorological data acquisition module 1013 is used to acquire the dynamic meteorological data of the wind resistance detection area according to the regional geographical information.

[0055] Furthermore, the flexible photovoltaic support system wind resistance detection system also includes: The data modeling processing unit 102 is used to obtain photovoltaic support data of the flexible photovoltaic support system, perform modeling processing on the photovoltaic support data, and construct a regional support model.

[0056] In an embodiment of the present invention, the data modeling processing unit 102 obtains photovoltaic bracket data of the flexible photovoltaic bracket system, analyzes the photovoltaic bracket data, extracts photovoltaic model data of the photovoltaic bracket structure from the photovoltaic bracket data, and creates a model visualization environment. Then, in the model visualization environment, the flexible photovoltaic bracket system in the wind resistance detection area is three-dimensionally modeled according to the photovoltaic model data to construct a regional bracket model.

[0057] Specifically, Fig. 9 It shows a structural block diagram of the data modeling processing unit 102 in the system provided by the embodiment of the present invention.

[0058] In the preferred embodiment of the present invention, the data modeling processing unit 102 specifically includes: The bracket data acquisition module 1021 is used to acquire the photovoltaic bracket data of the flexible photovoltaic bracket system; The data analysis module 1022 is used to analyze the photovoltaic support data and extract photovoltaic model data; An environment creation module 1023 is used to create a model visualization environment; The model building module 1024 is used to perform modeling processing according to the photovoltaic model data in the model visualization environment to build a regional bracket model.

[0059] Furthermore, the flexible photovoltaic support system wind resistance detection system also includes: The regional impact division unit 103 is used to integrate the regional support model and the dynamic meteorological data to create a dynamic simulation model, and to divide the impact of the wind resistance detection area to determine a plurality of detection impact sub-areas.

[0060] In an embodiment of the present invention, the regional impact division unit 103 imports dynamic meteorological data into a model visualization environment, comprehensively processes the dynamic meteorological data, generates a dynamic simulation model, and obtains regional division requirements. According to the regional division requirements, the anti-wind detection area is divided into impact areas, and multiple detection impact sub-areas are determined. Specifically, the multiple detection impact sub-areas may include: a direct area affected by the wind, an intermediate area affected by the wind, a rear end area affected by the wind, an edge area affected by the wind, etc.

[0061] Specifically, Fig.10 It shows a structural block diagram of the regional impact division unit 103 in the system provided by an embodiment of the present invention.

[0062] In a preferred embodiment of the present invention, the area impact division unit 103 specifically includes: A data import module 1031 is used to import the dynamic meteorological data into the model visualization environment; A dynamic model generation module 1032, for integrating the regional support model and the dynamic meteorological data to generate a dynamic simulation model; The demand acquisition module 1033 is used to acquire the area division demand; The regional impact division module 1034 is used to divide the impact of the wind resistance detection area according to the regional division requirements and determine multiple detection impact sub-areas.

[0063] Furthermore, the flexible photovoltaic support system wind resistance detection system also includes: The dynamic simulation processing unit 104 is used to perform dynamic simulation processing on the dynamic simulation model, perform wind resistance detection records on the multiple detection impact sub-areas, and generate a wind resistance detection report for the flexible photovoltaic support system.

[0064] In an embodiment of the present invention, the dynamic simulation processing unit 104 performs dynamic simulation processing on the dynamic simulation model, records the dynamic simulation results, and based on the dynamic simulation results, performs wind resistance detection records on multiple detection impact sub-areas, obtains multiple sub-area impact data, and then performs wind resistance detection and analysis on the multiple sub-area impact data to generate multiple sub-area detection information, and then comprehensively organizes the multiple sub-area detection information according to a preset comprehensive organization template to generate a wind resistance detection report for the flexible photovoltaic support system.

[0065] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0066] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0067] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0068] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0069] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting the wind resistance of a flexible photovoltaic support system, characterized in that: The method specifically comprises the following steps: Determine a wind resistance detection area, and obtain dynamic meteorological data of the wind resistance detection area; Acquire photovoltaic support data of the flexible photovoltaic support system, perform modeling on the photovoltaic support data, and construct a regional support model; Integrating the regional support model and the dynamic meteorological data, creating a dynamic simulation model, and dividing the wind resistance detection area into impact areas to determine a plurality of detection impact sub-areas; Performing dynamic simulation processing on the dynamic simulation model, performing wind resistance detection records on the plurality of detection impact sub-areas, and generating a wind resistance detection report for the flexible photovoltaic support system; Determining the wind resistance detection area and obtaining the dynamic meteorological data of the wind resistance detection area specifically includes the following steps: Determine the wind resistance detection area of ​​the flexible photovoltaic support system; Obtaining regional geographic information of the wind resistance detection area; According to the regional geographical information, dynamic meteorological data of the wind resistance detection area is obtained.

2. The method for detecting wind resistance of a flexible photovoltaic support system according to claim 1, characterized in that: Determining the wind resistance detection area of ​​the flexible photovoltaic support system specifically includes the following steps: Select a preliminary area and obtain geographic information and dynamic meteorological data within the preliminary area; Acquire data of a photovoltaic support system, wherein the data of the photovoltaic support system includes size data and material strength; Based on the random forest regression model, historical data is used to train the random forest regression model to obtain a wind prediction model; Input current geographic information into the wind prediction model to predict future wind influencing factors; Calculate geographic influence factors based on latitude and altitude; Calculate and determine the influence factors of the collection settings on the detection area based on the collection period and meteorological type of dynamic meteorological data; The influencing factors of the support structure are calculated using the dimensional data and material strength; Multiply the geographical influencing factor, the influencing factor of the acquisition setting on the detection area, and the influencing factor of the support structure to obtain the initial influencing factor of the wind resistance detection area; The future wind force influencing factors are used to adjust the initial wind resistance detection area influencing factors to obtain the final optimized area.

3. The method for detecting wind resistance of a flexible photovoltaic support system according to claim 2, characterized in that: The step of obtaining the dynamic meteorological data of the wind resistance detection area according to the regional geographical information specifically comprises the following steps: Receiving dynamic collection settings for the wind resistance detection area; Determining a dynamic collection period according to the dynamic collection setting; According to the dynamic collection setting, determining multiple dynamic collection types; According to the regional geographical information, the dynamic collection period and the multiple dynamic collection types, periodic dynamic meteorological collection is performed on the wind resistance detection area to obtain dynamic meteorological data.

4. The method for detecting wind resistance of a flexible photovoltaic support system according to claim 3 is characterized in that: The obtaining of photovoltaic support data of the flexible photovoltaic support system, modeling of the photovoltaic support data, and construction of a regional support model specifically include the following steps: Obtain photovoltaic support data of the flexible photovoltaic support system; Analyzing the photovoltaic support data to extract photovoltaic model data; Create a model visualization environment; In the model visualization environment, modeling processing is performed according to the photovoltaic model data to construct a regional bracket model.

5. The method for detecting wind resistance of a flexible photovoltaic support system according to claim 4, characterized in that: The analyzing the photovoltaic support data and extracting the photovoltaic model data specifically comprises the following steps: Obtaining the original photovoltaic bracket data matrix, the photovoltaic bracket data matrix includes the bracket's tilt angle, material properties, and position characteristics; Perform Fourier transform on the photovoltaic bracket data matrix to obtain the Fourier transform result; Applying an adaptive filtering operation on the basis of the Fourier transform result to obtain a filtering result, and performing an inverse Fourier transform on the filtering result to obtain a signal feature; Perform wavelet transform on the photovoltaic bracket data matrix to obtain wavelet transform features; The principal component analysis operation is performed on the original photovoltaic bracket data matrix to obtain the target key features; The signal features, wavelet transform features and target key features are combined in a weighted manner to obtain combined features; Normalize the combined features to obtain normalized combined features; Normalize the original photovoltaic bracket data matrix to obtain normalized photovoltaic bracket data; The covariance matrix is ​​calculated using the normalized combined features and the normalized photovoltaic bracket data; The original photovoltaic bracket data matrix is ​​input into the linear regression model to obtain the weight matrix; Use linear algebra to calculate the determinant of the weight matrix; Substitute the determinants of the covariance matrix and the weight matrix into the sigmoid activation function for activation to obtain a vector of photovoltaic model parameters. The vectors of multiple photovoltaic model parameters constitute the photovoltaic model data.

6. The method for detecting wind resistance of a flexible photovoltaic support system according to claim 5, characterized in that: The step of integrating the regional support model and the dynamic meteorological data to create a dynamic simulation model, dividing the wind resistance detection area into impact areas, and determining multiple detection impact sub-areas specifically includes the following steps: Importing the dynamic meteorological data into the model visualization environment; Combining the regional support model and the dynamic meteorological data to generate a dynamic simulation model; Obtaining regional division requirements; According to the area division requirements, the wind resistance detection area is divided into impact areas to determine a plurality of detection impact sub-areas.

7. The method for detecting wind resistance of a flexible photovoltaic support system according to claim 6, characterized in that: According to the area division requirement, the wind resistance detection area is divided into influence areas, and determining multiple detection influence sub-areas specifically comprises the following steps: Integrate regional geographic information, dynamic meteorological data, and photovoltaic model data into a comprehensive data set, and standardize the comprehensive data set; The number of clusters of the KMeans algorithm is set according to the division requirements, and the standardized comprehensive data set is clustered using the KMeans clustering algorithm to obtain several clusters, where each cluster represents a potential detection-affected sub-region; The weighted dynamic adjustment is performed on each cluster center to obtain the influence index; According to the division requirements, the influence index of each cluster is evaluated to see whether it meets the division criteria. If the influence index of a cluster meets the criteria of the division requirements, the cluster is determined as the final detection influence sub-region.

8. The method for detecting wind resistance of a flexible photovoltaic support system according to claim 7, characterized in that: The performing dynamic simulation processing on the dynamic simulation model, performing wind resistance detection records on the plurality of detection impact sub-areas, and generating a wind resistance detection report for the flexible photovoltaic support system specifically comprises the following steps: Performing dynamic simulation processing on the dynamic simulation model and recording dynamic simulation results; Based on the dynamic simulation results, wind resistance detection records are performed on the multiple detection impact sub-areas to obtain impact data of the multiple sub-areas; Perform wind resistance detection and analysis on the impact data of the plurality of sub-areas to generate a plurality of sub-area detection information; The wind resistance test report of the flexible photovoltaic support system is generated by integrating the detection information of the multiple sub-areas.

9. The method for detecting wind resistance of a flexible photovoltaic support system according to claim 8, characterized in that: The step of integrating the detection information of the plurality of sub-areas to generate a wind resistance detection report of the flexible photovoltaic support system specifically comprises the following steps: Collect sub-area impact data for each sub-area, including wind speed, wind direction, support elastic coefficient, material strength and ambient humidity; The wind speed is squared to calculate the nonlinear impact of wind speed on the overall wind resistance; The nonlinear influence value of wind speed on the overall wind resistance is multiplied by the cosine value of wind direction to calculate the influence value of wind direction on the actual wind speed; Divide the influence of wind direction on actual wind speed by the support elastic coefficient to obtain the support flexibility and wind resistance factor; Combine material strength with wind speed and perform natural logarithm calculation to obtain the material strength wind resistance factor; Perform a sine function operation on the ambient humidity to obtain the humidity value, and then multiply the ratio of the humidity value to 100 by π to obtain the factor of humidity affecting wind resistance; The wind resistance factor of the support flexibility, the wind resistance factor of the material strength and the wind resistance factor of the humidity are weighted and combined to obtain a comprehensive evaluation value of the wind resistance; The exponential attenuation term is constructed using wind speed, bracket elastic coefficient, material strength and ambient humidity; The logarithmic attenuation term is applied to the comprehensive evaluation value of wind resistance to obtain the comprehensive sub-regional contribution; The contributions of all comprehensive sub-areas are accumulated to obtain a comprehensive evaluation value of the overall wind resistance, and a wind resistance test report of the flexible photovoltaic support system is generated based on the comprehensive evaluation value of the overall wind resistance.

10. A flexible photovoltaic support system wind resistance detection system, the system is applied to the flexible photovoltaic support system wind resistance detection method according to any one of claims 1 to 9, characterized in that: The system includes a dynamic weather acquisition unit, a data modeling processing unit, a regional impact division unit and a dynamic simulation processing unit, wherein: A dynamic meteorological acquisition unit, used to determine a wind-resistant detection area and acquire dynamic meteorological data of the wind-resistant detection area; A data modeling processing unit, used for acquiring photovoltaic support data of the flexible photovoltaic support system, performing modeling processing on the photovoltaic support data, and constructing a regional support model; A regional impact division unit, used to integrate the regional support model and the dynamic meteorological data, create a dynamic simulation model, and divide the impact of the wind resistance detection area to determine a plurality of detection impact sub-areas; The dynamic simulation processing unit is used to perform dynamic simulation processing on the dynamic simulation model, perform wind resistance detection records on multiple detection impact sub-areas, and generate a wind resistance detection report for the flexible photovoltaic support system.

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