Photovoltaic structure wind tunnel test method, apparatus, device, medium, and program product

Abstract

The embodiment of the present application provides a photovoltaic structure wind tunnel test method, which comprises the following steps: obtaining a plurality of groups of first pressure measurement data obtained by wind tunnel test of a photovoltaic panel model under a first working condition, the photovoltaic panel model being a rigid model made in proportion to a target photovoltaic panel structure, each group of first pressure measurement data corresponding to a different first test area of the photovoltaic panel model; determining first force data corresponding to each first test area; obtaining a plurality of groups of first force data obtained by wind tunnel test of the target photovoltaic panel structure under the first working condition, each group of first force data corresponding to a different second test area corresponding to the first test area of the target photovoltaic panel structure; determining a first sub-conversion coefficient of each first test area according to the first force data and the first force data; and determining a conversion coefficient of the photovoltaic panel model under the first working condition based on the first sub-conversion coefficient. The scheme of the embodiment of the present application can obtain a more accurate conversion coefficient, and facilitate determination of the real force of the photovoltaic structure.

Description

Technical Field

[0001] This application relates to the field of solar cell technology, and in particular to a photovoltaic structure wind tunnel testing method, apparatus, computer equipment, storage medium and program product. Background Technology

[0002] Wind load is the most critical load in photovoltaic (PV) structure design. Many manufacturers use computational fluid dynamics (CFD) numerical simulations and scaled-down model wind tunnel tests to obtain the wind load coefficient of PV structures, which is then applied to the design and development of actual products. Wind tunnel testing is the most accurate way to measure the wind load on PV structures, and more and more manufacturers and customers are emphasizing whether PV products have passed wind tunnel testing verification.

[0003] In related technologies, wind tunnel tests often require scaled-down studies of photovoltaic structures. Furthermore, the data obtained from the tests have certain errors compared to the actual data of the photovoltaic prototype structure, and cannot reflect the stress conditions of the real photovoltaic structure in the actual environment.

[0004] It should be noted that the above content is not necessarily prior art, nor is it intended to limit the scope of patent protection of this application. Summary of the Invention

[0005] This application provides a photovoltaic structure wind tunnel testing method, apparatus, computer equipment, storage medium, and program product to solve or alleviate one or more of the technical problems mentioned above.

[0006] The first aspect of this application provides a wind tunnel testing method for photovoltaic structures, including: Several sets of first pressure measurement data are obtained by conducting wind tunnel pressure measurement tests on a photovoltaic panel model under the first working condition. The photovoltaic panel model is a rigid model made in proportion to the target photovoltaic panel structure. Each set of first pressure measurement data corresponds to a different first test area of ​​the photovoltaic panel model. Determine the first force data corresponding to each of the first test areas; Several sets of first force measurement data are obtained by wind tunnel force measurement test of the target photovoltaic panel structure under the first working condition. Each set of first force measurement data corresponds to a different second test area of ​​the target photovoltaic panel structure. The second test area corresponds to the first test area. Determine the first sub-conversion coefficient for each of the first test areas based on the first force data and the first force measurement data; The conversion factor of the photovoltaic panel model under the first working condition is determined based on the first sub-conversion factor.

[0007] Optionally, each of the first test areas includes a plurality of target pressure measurement points, and each set of the first pressure measurement data includes pressure measurement sub-data of each of the target pressure measurement points; Correspondingly, determining the first force data corresponding to each of the first test areas includes: The local wind pressure coefficient is determined based on the data from each of the pressure sensors; The pressure coefficient of each of the first test areas is determined based on the local wind pressure coefficient. The first force data corresponding to each of the first test areas is determined based on the pressure coefficient.

[0008] Optionally, determining the pressure coefficient of each of the first test areas based on the local wind pressure coefficient includes: Obtain the target area of ​​each of the target pressure measurement points; The pressure coefficient of each of the first test areas is determined by a weighted average method based on the target area and the local wind pressure coefficient.

[0009] Optionally, the method further includes: Based on the first operating condition, at least some operating conditions of the photovoltaic panel model, the target photovoltaic panel structure, and the wind tunnel are adjusted, and the adjusted result is used as the second operating condition; Several sets of second pressure data are obtained by conducting wind tunnel pressure tests on the photovoltaic panel model under the second working condition, and each set of second pressure data corresponds to a different first test area; Determine the second force data corresponding to each group of the second pressure measurement data; Several sets of second force measurement data are obtained by conducting wind tunnel force measurement tests on the target photovoltaic panel structure under the second working condition, and each set of second force measurement data corresponds to a different second test area; Determine the second sub-conversion coefficient for each of the first test areas based on the second force data and the second force measurement data; The conversion factor of the photovoltaic panel model under the second operating condition is determined based on the second sub-conversion factor.

[0010] Optionally, the method further includes: Obtain the third force measurement data obtained by wind tunnel force measurement test of the target photovoltaic panel structure under the third working condition; Obtain the structural geometry data and material property data of the target photovoltaic panel structure, and obtain the boundary condition data and environmental condition data corresponding to the third working condition; Based on the structural geometry data, the material property data, the boundary condition data, and the environmental condition data, the third stress data of the target photovoltaic panel structure under the third working condition is determined by finite element simulation. The force measurement test of the target photovoltaic panel structure is verified based on the third force measurement data and the third force application data.

[0011] Optionally, the first working condition includes arranging several different roughness elements and several different wedges at the wind tunnel entrance.

[0012] Optionally, the photovoltaic panel model is made of a transparent material.

[0013] Optionally, the photovoltaic panel model is made of polycarbonate material.

[0014] Optionally, the target photovoltaic panel structure is a single-row longitudinal or double-row longitudinal.

[0015] A second aspect of this application provides a photovoltaic structure wind tunnel testing device, comprising: The first acquisition module is used to acquire several sets of first pressure data obtained by wind tunnel pressure test of photovoltaic panel model under first working condition, wherein the photovoltaic panel model is a rigid model made in proportion to the target photovoltaic panel structure, and each set of first pressure data corresponds to a different first test area of ​​the photovoltaic panel model. The first determining module is used to determine the first force data corresponding to each of the first test areas; The second acquisition module is used to acquire several sets of first force data obtained by wind tunnel force measurement test of the target photovoltaic panel structure under the first working condition. Each set of first force data corresponds to a different second test area of ​​the target photovoltaic panel structure. The second test area corresponds to the first test area. The second determining module is used to determine the first sub-conversion coefficient for each of the first test areas based on the first force data and the first force measurement data. The third determining module is used to determine the conversion factor of the photovoltaic panel model under the first working condition based on the first sub-conversion factor.

[0016] A third aspect of this application provides a computer device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein: the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method described above.

[0017] A fourth aspect of this application provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the method described above.

[0018] A fifth aspect of this application provides a computer program product, including a computer program that, when executed by a processor, implements the method described above.

[0019] The embodiments of this application employing the above-described technical solution may have the following advantages: By acquiring several sets of first test data from wind tunnel stress tests on a photovoltaic panel model under the first working condition, the photovoltaic panel model is a model made of rigid material and is proportional to the target photovoltaic panel structure. Each set of first test data corresponds to a different first test area of ​​the photovoltaic panel model. First stress data corresponding to each first test area is determined. Several sets of first force data from wind tunnel stress tests on the target photovoltaic panel structure under the first working condition are acquired. Each set of first force data corresponds to a different second test area of ​​the target photovoltaic panel structure, and the second test area corresponds to the first test area. Based on the first stress data and the first force data, a first sub-conversion coefficient is determined for each first test area. Based on the first sub-conversion coefficient, the conversion coefficient of the photovoltaic panel model under the first working condition is determined. By using a proportional photovoltaic panel model, the error between the experimental data and the actual data of the photovoltaic prototype structure can be reduced. At the same time, a more accurate conversion coefficient can be obtained, which facilitates the determination of the stress of the real photovoltaic panel structure based on the conversion coefficient, thereby facilitating the design and development of actual photovoltaic products. Attached Figure Description

[0020] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the various drawings denote the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings depict only some embodiments disclosed in this application and should not be construed as limiting the scope of this application.

[0021] Figure 1 This is a flowchart illustrating the photovoltaic structure wind tunnel testing method provided in the embodiments of this application; Figure 2 It is a schematic diagram of a single-column vertical target photovoltaic panel structure or photovoltaic panel model; Figure 3 It is a schematic diagram of a double-row vertical target photovoltaic panel structure or photovoltaic panel model; Figure 4 This is a schematic diagram of a photovoltaic panel model and its supporting structure; Figure 5 yes Figure 1 A flowchart illustrating the sub-steps of step S102; Figure 6 yes Figure 5 A flowchart illustrating the sub-steps of step S202; Figure 7 This is a schematic diagram of the target photovoltaic panel structure and its supporting structure; Figure 8yes Figure 1 A flowchart illustrating the newly added steps; Figure 9 yes Figure 1 A flowchart illustrating another newly added step; Figure 10 This is a block diagram of the photovoltaic structure wind tunnel testing device provided in the embodiments of this application; Figure 11 This is a schematic diagram of the hardware architecture of the computer device provided in the embodiments of this application.

[0022] Explanation of reference numerals in the attached figures: 1- Photovoltaic panel model or target photovoltaic panel structure; 2- Connecting structure or purlin; 3- Supporting structure; 11- Photovoltaic panel model; 12- Target photovoltaic panel structure. Detailed Implementation

[0023] The embodiments of this application are described in detail below, examples of which are illustrated in the accompanying drawings. In the drawings, for clarity, the dimensions of layers, regions, and elements, as well as their relative dimensions, may be exaggerated. Throughout, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other.

[0024] It should be understood that when an element or layer is referred to as "on," "adjacent to," "connected to," or "coupled to" other elements or layers, it may be directly on, adjacent to, connected to, or coupled to other elements or layers, or there may be intervening elements or layers. Conversely, when an element is referred to as "directly on," "directly adjacent to," "directly connected to," or "directly coupled to" other elements or layers, there are no intervening elements or layers. It should be understood that although the terms first, second, third, etc., may be used to describe various elements, components, areas, layers, and / or portions, these elements, components, areas, layers, and / or portions should not be limited by these terms. These terms are only used to distinguish one element, component, area, layer, or portion from another element, component, area, layer, or portion. Therefore, without departing from the teachings of this application, the first element, component, area, layer, or portion discussed below may be referred to as a second element, component, area, layer, or portion. And the discussion of a second element, component, area, layer, or portion does not imply that the first element, component, area, layer, or portion necessarily exists in this application.

[0025] In this application, unless otherwise expressly specified and limited, the terms "installation," "connection," "joining," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise expressly limited. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0026] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that the embodiments of this application described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0027] In this application, when numerical intervals (i.e., numerical ranges) are involved, unless otherwise specified, the distribution of selectable numerical values ​​within the numerical interval is considered continuous, and includes the two endpoints of the numerical interval (i.e., the minimum and maximum values), as well as every numerical value between these two endpoints. Unless otherwise specified, when a numerical interval refers only to integers within that numerical interval, it includes the two endpoint integers of the numerical range, as well as every integer between the two endpoints, which is equivalent to directly listing every integer. When multiple numerical ranges are provided to describe features or characteristics, these numerical ranges can be merged. In other words, unless otherwise specified, the numerical ranges disclosed in this application should be understood to include any and all subranges included therein. The "numerical value" in the numerical interval can be any quantitative value, such as a number, percentage, ratio, etc. The term "numerical interval" can be broadly included to include percentage intervals, ratio intervals, proportion intervals, etc.

[0028] The following provides a definition of the terminology used in this application.

[0029] Wind tunnel testing is an experimental method that uses artificially generated airflow to simulate the aerodynamic effects on an object in a real environment. Simply put, it involves placing an object inside a duct, then using a fan to blow air into the duct, and measuring data such as wind force and pressure to study the object's motion in the air.

[0030] Finite element method (FEM) simulation is a numerical computation method used to simulate and analyze various engineering problems, such as structural stress, heat conduction, and fluid flow. It discretizes a continuous object or region into many small, simple elements (finite elements), performs mathematical analysis on each element, and finally summarizes the results of all elements to obtain an approximate solution to the entire problem.

[0031] This application provides a wind tunnel testing solution for photovoltaic structures. Based on this, the error between the experimental data and the actual data of the photovoltaic prototype structure can be reduced, enabling the wind tunnel test to reflect the stress conditions of the real photovoltaic structure in the actual environment. See below for details.

[0032] Exemplary embodiments according to this application will now be described in more detail with reference to the accompanying drawings. It should be understood that these exemplary embodiments may be implemented in many different forms and should not be construed as being limited to the embodiments set forth herein.

[0033] like Figure 1 As shown, this application provides a wind tunnel testing method for photovoltaic structures, which may include steps S100-S108, wherein... Step S100: Obtain several sets of first pressure measurement data obtained by wind tunnel pressure measurement test of photovoltaic panel model under first working condition. The photovoltaic panel model is a rigid model made in proportion to the target photovoltaic panel structure. Each set of first pressure measurement data corresponds to a different first test area of ​​photovoltaic panel model.

[0034] In an optional embodiment, the target photovoltaic panel structure is a single-row longitudinal or double-row longitudinal structure, wherein the single-row longitudinal structure is as follows: Figure 2 As shown, the double-column vertical structure is as follows Figure 3 As shown. Of course, the target photovoltaic panel structure can also adopt other structures, such as horizontal arrangement, combined arrangement, centralized arrangement, and tracking arrangement. Since single-row or double-row longitudinal arrangements are the most common arrangements for photovoltaic arrays in actual engineering, wind tunnel test results can be directly applied to the design of actual projects. By simulating real wind direction and speed, the stress on the photovoltaic panel structure under actual working conditions can be accurately evaluated. Optionally, tests can be conducted on single-row and double-row longitudinal structures separately. By comparing the test results of single-row and double-row longitudinal structures, the impact of different arrangements on wind loads can be analyzed, providing a basis for optimizing the photovoltaic panel structure.

[0035] In an optional embodiment, the photovoltaic panel model is made of a rigid material and is scaled to the target photovoltaic panel structure (i.e., 1:1) to minimize the impact of scale on the test results. Since the actual photovoltaic panel structure has high rigidity, using a rigid material to make the photovoltaic panel model can better simulate the stiffness characteristics and stress concentration of a real photovoltaic panel, ensuring the accuracy of the test results. Furthermore, the rigid material used in the photovoltaic panel model allows for repeated testing and facilitates the support of various measuring instruments during the pressure measurement process. Examples of rigid materials include ABS plastic, carbon fiber composites, and glass fiber composites.

[0036] To facilitate pressure measurement, the photovoltaic panel model can optionally be made of a transparent material—that is, a material that is both rigid and transparent. Using a transparent material allows for easy arrangement of pressure measurement components, such as facilitating the installation of pressure measuring tubes within the model. More specifically, the photovoltaic panel model can be made of polycarbonate. Because polycarbonate possesses good strength and toughness, it can withstand large loads without easily deforming or cracking, thus facilitating wind tunnel testing. Furthermore, the transparency of the polycarbonate photovoltaic panel model further enhances the ease of pressure measurement.

[0037] Since the photovoltaic panel model is proportional to the target photovoltaic panel structure, the photovoltaic panel model also adopts a single-column vertical structure when the target photovoltaic panel structure adopts a single-column vertical structure; and the photovoltaic panel model also adopts a double-column vertical structure when the target photovoltaic panel structure adopts a double-column vertical structure.

[0038] Operating conditions may include wind speed, wind direction, turbulence intensity, wind pressure distribution, and the tilt angle and position of the photovoltaic panel model. During wind tunnel stress tests on the photovoltaic panel model, the number of photovoltaic panel models can be increased or decreased, provided that the wind tunnel blockage rate is not exceeded. The test points for the stress test can be reasonably densified, and the support structure of the photovoltaic panel model can be as follows: Figure 4 As shown, the support structure should reasonably fix the pressure measuring tube, and its height from the ground should not be too low. The smaller the projected area of ​​the overall support structure, the better, thereby reducing the impact of the blockage rate in the wind tunnel test. Preferably, the first working condition may also include arranging several different rough elements and several different wedges at the wind tunnel entrance. That is, wedges and rough elements can be arranged between the direction from which the wind blows from the wind tunnel and the photovoltaic panel model. Since there will be terrain, landforms, obstacles, etc. in the actual working condition, arranging several different rough elements and several different wedges at the wind tunnel entrance can better simulate the wind flow of the real environment, making the test results more consistent with reality, and also facilitating the study of the spanwise correlation of wind along the length direction of the photovoltaic panel support.

[0039] When obtaining several sets of first pressure measurement data from wind tunnel pressure measurement tests on the photovoltaic panel model under the first working condition, pressure measurements can be performed on different areas (first test areas) of the photovoltaic panel model, with each first test area corresponding to a set of first pressure measurement data.

[0040] Step S102: Determine the first force data corresponding to each first test area.

[0041] Each first test area may include several pressure measurement points. After obtaining the pressure measurement data of each pressure measurement point, the first force data corresponding to each first test area can be calculated based on the relationship between the pressure measurement data and the force. Some exemplary schemes are provided below.

[0042] In an optional embodiment, each first test area includes several target pressure measurement points, and each set of first pressure measurement data includes pressure measurement sub-data for each target pressure measurement point, such as... Figure 5 As shown, step S102 may include: Step S200: Determine the local wind pressure coefficient based on the data from each pressure sensor.

[0043] Step S202: Determine the pressure coefficient of each first test area based on the local wind pressure coefficient.

[0044] Step S204: Determine the first force data corresponding to each first test area based on the pressure coefficient.

[0045] Specifically, the local wind pressure coefficient can be: ; in, This represents the local wind pressure coefficient of the i-th group. This represents the pressure measurement data for the i-th group. ρ represents the reference air pressure, U0 represents the air density, and U0 represents the wind speed.

[0046] After obtaining the local wind pressure coefficient, the pressure coefficient of the corresponding first test area can be obtained by weighted averaging the local wind pressure coefficients of all target pressure measurement points in the first test area.

[0047] For example, such as Figure 6 As shown, step S202 may further include: Step S300: Obtain the target area of ​​each target pressure measurement point.

[0048] Step S302: Determine the pressure coefficient of each first test area using a weighted average method based on the target area and local wind pressure coefficient.

[0049] Specifically, the target area of ​​each target pressure measurement point can be obtained by direct measurement, or by measuring the area of ​​the first test area and then dividing it by the number of target pressure measurement points in the first test area.

[0050] Then, the pressure coefficient of the first test area can be calculated using the following formula: ; Among them, A i Let A represent the area of ​​the i-th target pressure measurement point, A represent the area of ​​the first test area, and N represent the number of target pressure measurement points in the first test area.

[0051] After obtaining the pressure coefficient of each first test area, the first force data of the first test area can be calculated according to the following formula: ; Among them, F N Indicates the first force data, q z For dynamic wind pressure, The pressure coefficient under steady-state conditions can be calculated from multiple time-series measurements. The weighted average can be used to obtain the result, or it can be calculated from different first test regions. The weighted average is used to obtain the DAF, which is the dynamic response amplification factor. Specifically, after obtaining the first pressure measurement data of the photovoltaic panel model, the pressure coefficient C can be calculated based on the first pressure measurement data of the photovoltaic panel model. P and torque coefficient C M According to the pressure coefficient C P The stress fluctuations and frequency response characteristics of the photovoltaic panel model can be determined based on the following dynamic response amplification factor formula (DAF): ; Where fS(f) is the frequency response characteristic, ζ is the damping ratio of the structure, and σ 2 This represents the mean square value of the vibration.

[0052] Step S104: Obtain several sets of first force measurement data obtained from wind tunnel force measurement tests on the target photovoltaic panel structure under the first working condition. Each set of first force measurement data corresponds to a different second test area of ​​the target photovoltaic panel structure, and the second test area corresponds to the first test area.

[0053] When conducting wind tunnel force tests on the target photovoltaic panel structure, the number of photovoltaic panels can be increased or decreased without exceeding the wind tunnel blockage rate. A high-precision balance and stress-strain gauge can be used to conduct force tests under the first operating condition. The supporting structure of the target photovoltaic panel can be as follows: Figure 7As shown, the support structure of the target photovoltaic panel should be connected to a high-precision balance. Simultaneously, force measuring points should be strategically placed on the surface of the photovoltaic panel components, and stress-strain points should be strategically placed on the purlin structure to obtain the stress conditions of the target photovoltaic panel structure under wind load as comprehensively as possible. It should be noted that the support structure of the target photovoltaic panel can be the same as that of the photovoltaic panel model; however, the following should be used... Figure 7 The support structure shown makes it easier to conduct force measurement tests.

[0054] When acquiring several sets of first force measurement data from wind tunnel tests on the target photovoltaic panel structure under the first operating condition, force measurements can be performed on different regions (second test regions) of the target photovoltaic panel structure, with each second test region corresponding to a set of first force measurement data. Each second test region corresponds one-to-one with a first test region. If each first test region includes several target pressure measurement points, each second test region can also include several target force measurement points, and each target force measurement point can also correspond one-to-one with a target pressure measurement point.

[0055] Step S106: Determine the first sub-conversion coefficient for each first test area based on the first force data and the first force measurement data.

[0056] Specifically, the first set of force data for each group of the photovoltaic panel model can be compared with the first set of force data for the corresponding group of the target photovoltaic panel structure. Based on the comparison results, the first sub-conversion coefficient corresponding to each test area can be determined. For example, if a certain set of first force data is F... N The corresponding first force measurement data is F. BL Then the first sub-conversion factor corresponding to this group can be: α=F BL / F N .

[0057] Step S108: Determine the conversion coefficients of the photovoltaic panel model under the first operating condition based on the first sub-conversion coefficients.

[0058] After obtaining the first sub-conversion coefficients corresponding to all the first test areas, a weighted average method can be used to perform a weighted average of all the first sub-conversion coefficients, thereby obtaining the conversion coefficients of the photovoltaic panel model under the first operating condition.

[0059] After obtaining the conversion factor for the photovoltaic panel model under the first operating condition, this conversion factor can be used to calculate the stress on the actual photovoltaic panel structure, and then the product design can be based on the stress. The stress on the actual photovoltaic panel structure can be determined through... The calculation is then multiplied by a conversion factor, where A in the formula represents the area of ​​the actual photovoltaic panel structure. The flutter force response of the actual photovoltaic panel structure can also be obtained through... The result is obtained by multiplying the calculated value by a conversion factor. In the formula, A is the area of ​​the actual photovoltaic panel structure, and L is the length of the actual photovoltaic panel structure.

[0060] The photovoltaic structure wind tunnel testing method provided in this application obtains several sets of first test data from wind tunnel pressure testing of a photovoltaic panel model under a first working condition. The photovoltaic panel model is a model made of rigid material and is proportional to the target photovoltaic panel structure. Each set of first test data corresponds to a different first test area of ​​the photovoltaic panel model. First stress data corresponding to each first test area is determined. Several sets of first force data are obtained from wind tunnel force testing of the target photovoltaic panel structure under the first working condition. Each set of first force data corresponds to a different second test area of ​​the target photovoltaic panel structure. The second test area corresponds to the first test area. A first sub-conversion coefficient is determined for each first test area based on the first stress data and the first force data. Based on the first sub-conversion coefficient, the conversion coefficient of the photovoltaic panel model under the first working condition is determined. By using a proportional photovoltaic panel model, the error between the experimental data and the actual data of the photovoltaic prototype structure can be reduced. At the same time, a more accurate conversion coefficient can be obtained, which facilitates the determination of the stress of the real photovoltaic panel structure based on the conversion coefficient, thereby facilitating the design and development of actual photovoltaic products.

[0061] Understandably, the first working condition can be adjusted according to actual needs, and then wind tunnel tests under different working conditions can be conducted to obtain the conversion coefficients under different working conditions.

[0062] In optional embodiments, such as Figure 8 As shown, the wind tunnel testing method for photovoltaic structures may also include: Step S400: Based on the first operating condition, adjust the photovoltaic panel model, the target photovoltaic panel structure, and at least some operating conditions of the wind tunnel, and use the adjusted result as the second operating condition.

[0063] Step S402: Obtain several sets of second pressure measurement data obtained from the wind tunnel pressure measurement test of the photovoltaic panel model under the second working condition. Each set of second pressure measurement data corresponds to a different first test area.

[0064] Step S404: Determine the second force data corresponding to each set of second pressure measurement data.

[0065] Step S406: Obtain several sets of second force measurement data from wind tunnel force measurement tests on the target photovoltaic panel structure under the second working condition. Each set of second force measurement data corresponds to a different second test area.

[0066] Step S408: Determine the second sub-conversion coefficient for each first test area based on the second force data and the second force measurement data.

[0067] Step S410: Determine the conversion factor of the photovoltaic panel model under the second operating condition based on the second sub-conversion factor.

[0068] Specifically, at least some working conditions, such as the tilt angle and position of the photovoltaic panel model and the target photovoltaic panel structure, the wind direction and speed of the wind tunnel, and the arrangement of rough elements, can be adjusted according to specific needs. The adjusted working conditions are then used as the second working condition. Then, experiments are conducted using a method similar to the first working condition to obtain new data, and the conversion coefficient under the second working condition is obtained based on the new data.

[0069] In this embodiment, by adjusting at least some of the operating conditions of the photovoltaic panel model, the target photovoltaic panel structure, and the wind tunnel based on the first operating condition, the adjusted result is used as the second operating condition. Then, experiments are conducted based on the second operating condition, and finally, the conversion factor under the second operating condition is determined. The conversion factor under different operating conditions can be obtained according to the requirements, thereby facilitating product design and development under different operating conditions.

[0070] In optional embodiments, such as Figure 9 As shown, the wind tunnel testing method for photovoltaic structures may also include: Step S500: Obtain the third force measurement data obtained from the wind tunnel force measurement test of the target photovoltaic panel structure under the third working condition.

[0071] The third working condition can be the same as or different from the first or second working condition.

[0072] Step S502: Obtain the structural geometry data and material property data of the target photovoltaic panel structure, and obtain the boundary condition data and environmental condition data corresponding to the third working condition.

[0073] Structural geometry data can include the length, width, thickness, and tilt angle of the target photovoltaic panel structure. Material property data can include the properties of the materials used in the target photovoltaic panel structure, such as density, elastic modulus, and Poisson's ratio. Boundary condition data can include structural displacement and fluid load data. Environmental condition data can include wind speed, wind direction, and turbulence intensity data.

[0074] Step S504: Based on structural geometric data, material property data, boundary condition data, and environmental condition data, determine the third stress data of the target photovoltaic panel structure under the third working condition through finite element simulation.

[0075] Specifically, a three-dimensional finite element model can be established based on the structural geometry data, material property data, boundary condition data, and environmental condition data of the target photovoltaic structure. The corresponding wind load is applied to the three-dimensional finite element model for simulation according to the third working condition. The stress data of the three-dimensional finite element model under the third working condition is calculated based on the simulation results, thus obtaining the third stress data of the target photovoltaic panel structure under the third working condition obtained by finite element analysis.

[0076] Step S504: Verify the force measurement test of the target photovoltaic panel structure based on the third force measurement data and the third stress data.

[0077] After obtaining the third force data, it is compared with the third force measurement data. If the two differ significantly at a certain location, it indicates that the force measurement point at that location is inaccurate and needs correction. If the two differ closely at a certain location, it indicates that the force measurement point at that location is relatively accurate. By comparing the data at each force measurement point, the accuracy of the force measurement at each point can be determined. After correcting all inaccurate force measurement points, the final force measurement data obtained from the target photovoltaic panel structure can be guaranteed to be relatively accurate.

[0078] In this optional embodiment, by acquiring the third force measurement data obtained from the wind tunnel force measurement test of the target photovoltaic panel structure under the third working condition, the structural geometric data, material property data, boundary condition data and environmental condition data corresponding to the third working condition of the target photovoltaic panel structure are acquired. Based on these data, the third stress data of the target photovoltaic panel structure under the three working conditions is determined by finite element simulation. The force measurement test of the target photovoltaic panel structure is verified according to the third force measurement data and the third stress data. The accuracy of the force measurement test of the target photovoltaic panel structure can be effectively verified, thereby further improving the accuracy of the wind tunnel test simulating the target photovoltaic panel structure using a photovoltaic panel model.

[0079] Figure 10 A block diagram of a photovoltaic structure wind tunnel testing device 600 provided in an embodiment of this application is illustrated. This device 600 can be divided into one or more program modules. One or more program modules are stored in a storage medium and executed by one or more processors to complete the embodiments of this application. The program module referred to in the embodiments of this application refers to a series of computer program instruction segments capable of performing a specific function. The following description will specifically introduce the function of each program module in this embodiment. Figure 10 As shown, the device 600 may include a first acquisition module 610, a first determination module 620, a second acquisition module 630, a second determination module 640, and a third determination module 650, wherein: The first acquisition module 610 is used to acquire several sets of first pressure data obtained by wind tunnel pressure test of photovoltaic panel model under first working condition, wherein the photovoltaic panel model is a rigid model made in proportion to the target photovoltaic panel structure, and each set of first pressure data corresponds to a different first test area of ​​the photovoltaic panel model. The first determining module 620 is used to determine the first force data corresponding to each of the first test areas; The second acquisition module 630 is used to acquire several sets of first force data obtained by wind tunnel force measurement test of the target photovoltaic panel structure under the first working condition. Each set of first force data corresponds to a different second test area of ​​the target photovoltaic panel structure. The second test area corresponds to the first test area. The second determining module 640 is used to determine the first sub-conversion coefficient for each of the first test areas based on the first force data and the first force measurement data. The third determining module 650 is used to determine the conversion factor of the photovoltaic panel model under the first working condition based on the first sub-conversion factor.

[0080] In an optional embodiment, each first test area includes a plurality of target pressure measurement points, and each set of first pressure measurement data includes pressure measurement sub-data for each of the target pressure measurement points; correspondingly, the first determining module 620 is further configured to: The local wind pressure coefficient is determined based on the data from each of the pressure sensors; The pressure coefficient of each of the first test areas is determined based on the local wind pressure coefficient. The first force data corresponding to each of the first test areas is determined based on the pressure coefficient.

[0081] In an optional embodiment, the first determining module 620 is further configured to: Obtain the target area of ​​each of the target pressure measurement points; The pressure coefficient of each of the first test areas is determined by a weighted average method based on the target area and the local wind pressure coefficient.

[0082] In an optional embodiment, the device 600 is further used for: Based on the first operating condition, at least some operating conditions of the photovoltaic panel model, the target photovoltaic panel structure, and the wind tunnel are adjusted, and the adjusted result is used as the second operating condition; Several sets of second pressure data are obtained by conducting wind tunnel pressure tests on the photovoltaic panel model under the second working condition, and each set of second pressure data corresponds to a different first test area; Determine the second force data corresponding to each group of the second pressure measurement data; Several sets of second force measurement data are obtained by conducting wind tunnel force measurement tests on the target photovoltaic panel structure under the second working condition, and each set of second force measurement data corresponds to a different second test area; Determine the second sub-conversion coefficient for each of the first test areas based on the second force data and the second force measurement data; The conversion factor of the photovoltaic panel model under the second operating condition is determined based on the second sub-conversion factor.

[0083] In an optional embodiment, the device 600 is further used for: Obtain the third force measurement data obtained by wind tunnel force measurement test of the target photovoltaic panel structure under the third working condition; Obtain the structural geometry data and material property data of the target photovoltaic panel structure, and obtain the boundary condition data and environmental condition data corresponding to the third working condition; Based on the structural geometry data, the material property data, the boundary condition data, and the environmental condition data, the third stress data of the target photovoltaic panel structure under the third working condition is determined by finite element simulation. The force measurement test of the target photovoltaic panel structure is verified based on the third force measurement data and the third force application data.

[0084] In an optional embodiment, the first operating condition includes arranging several different roughness elements and several different wedges at the wind tunnel entrance.

[0085] In an optional embodiment, the photovoltaic panel model is made of a transparent material.

[0086] In an optional embodiment, the photovoltaic panel model is made of polycarbonate material.

[0087] In an optional embodiment, the target photovoltaic panel structure is a single-row longitudinal or double-row longitudinal.

[0088] Figure 11 This illustration schematically depicts the hardware architecture of a computer device 10000 suitable for implementing a wind tunnel testing method for photovoltaic structures, as provided in an embodiment of this application. In some embodiments, the computer device 10000 may be a smartphone, wearable device, tablet computer, personal computer, in-vehicle terminal, game console, virtual machine, workbench, digital assistant, set-top box, robot, or other terminal device. In other embodiments, the computer device 10000 may be a rack server, blade server, tower server, or cabinet server (including independent servers or server clusters composed of multiple servers), etc. Figure 11As shown, the computer device 10000 includes, but is not limited to: a memory 10010, a processor 10020, and a network interface 10030 that can communicate and be linked with each other via a system bus. Wherein: The memory 10010 includes at least one type of computer-readable storage medium, including flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 10010 may be an internal storage module of a computer device 10000, such as the hard disk or memory of the computer device 10000. In other embodiments, the memory 10010 may also be an external storage device of the computer device 10000, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the computer device 10000. Of course, the memory 10010 may also include both the internal storage module and the external storage device of the computer device 10000. In this embodiment, the memory 10010 is typically used to store the operating system and various application software installed on the computer device 10000, such as the program code for the photovoltaic structure wind tunnel testing method. In addition, the memory 10010 can also be used to temporarily store various types of data that have been output or will be output.

[0089] In some embodiments, processor 10020 may be a central processing unit (CPU), controller, microcontroller, microprocessor, or other chip. Processor 10020 is typically used to control the overall operation of computer device 10000, such as performing control and processing related to data interaction or communication with computer device 10000. In this embodiment, processor 10020 is used to run program code stored in memory 10010 or process data.

[0090] Network interface 10030 may include a wireless network interface or a wired network interface, which is typically used to establish a communication link between computer device 10000 and other computer devices. For example, network interface 10030 is used to connect computer device 10000 to an external terminal via a network, establishing a data transmission channel and communication link between computer device 10000 and the external terminal. The network may be an intranet, the Internet, Global System for Mobile Communication (GSM), Wideband Code Division Multiple Access (WCDMA), 4G network, 5G network, Bluetooth, Wi-Fi, or other wireless or wired networks.

[0091] It should be pointed out that, Figure 11 Only computer devices with components 10010-10030 are shown; however, it should be understood that it is not required to implement all of the shown components, and more or fewer components may be implemented instead.

[0092] In this embodiment, the photovoltaic structure wind tunnel test method stored in memory 10010 can also be divided into one or more program modules and executed by one or more processors (such as processor 10020) to complete the embodiment of this application.

[0093] This application also provides a computer-readable storage medium storing a computer program thereon, wherein the computer program, when executed by a processor, implements the steps of the photovoltaic structure wind tunnel testing method in the embodiments.

[0094] In this embodiment, the computer-readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the computer-readable storage medium can be an internal storage unit of a computer device, such as the hard disk or memory of the computer device. In other embodiments, the computer-readable storage medium can also be an external storage device of the computer device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the computer device. Of course, the computer-readable storage medium can also include both the internal storage unit and the external storage device of the computer device. In this embodiment, the computer-readable storage medium is typically used to store the operating system and various application software installed on the computer device, such as the program code of the photovoltaic structure wind tunnel test method in this embodiment. In addition, the computer-readable storage medium can also be used to temporarily store various types of data that have been output or will be output.

[0095] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the methods described in the above embodiments.

[0096] Obviously, those skilled in the art should understand that the modules or steps of the embodiments of this application described above can be implemented using general-purpose computer devices. They can be centralized on a single computer device or distributed across a network of multiple computer devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computer device. In some cases, the steps shown or described can be performed in a different order than those presented here, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the embodiments of this application are not limited to any particular combination of hardware and software.

[0097] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0098] It should also be noted that the above are merely preferred embodiments of this application and do not limit the scope of patent protection of this application. Any equivalent structural or procedural changes made using the content of this application’s specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of this application.

Claims

1. A wind tunnel testing method for photovoltaic structures, characterized in that, include: Several sets of first pressure measurement data are obtained by conducting wind tunnel pressure measurement tests on a photovoltaic panel model under the first working condition. The photovoltaic panel model is a rigid model made in proportion to the target photovoltaic panel structure. Each set of first pressure measurement data corresponds to a different first test area of ​​the photovoltaic panel model. Determine the first force data corresponding to each of the first test areas; Several sets of first force measurement data are obtained by wind tunnel force measurement test of the target photovoltaic panel structure under the first working condition. Each set of first force measurement data corresponds to a different second test area of ​​the target photovoltaic panel structure. The second test area corresponds to the first test area. Determine the first sub-conversion coefficient for each of the first test areas based on the first force data and the first force measurement data; The conversion factor of the photovoltaic panel model under the first working condition is determined based on the first sub-conversion factor.

2. The method according to claim 1, characterized in that, Each of the first test areas includes several target pressure measurement points, and each set of the first pressure measurement data includes pressure measurement sub-data of each of the target pressure measurement points; Correspondingly, determining the first force data corresponding to each of the first test areas includes: The local wind pressure coefficient is determined based on the data from each of the pressure sensors; The pressure coefficient of each of the first test areas is determined based on the local wind pressure coefficient. The first force data corresponding to each of the first test areas is determined based on the pressure coefficient.

3. The method according to claim 2, characterized in that, The determination of the pressure coefficient for each of the first test areas based on the local wind pressure coefficient includes: Obtain the target area of ​​each of the target pressure measurement points; The pressure coefficient of each first test area is determined by a weighted average method based on the target area and the local wind pressure coefficient.

4. The method according to claim 1, characterized in that, The method further includes: Based on the first operating condition, at least some operating conditions of the photovoltaic panel model, the target photovoltaic panel structure, and the wind tunnel are adjusted, and the adjusted result is used as the second operating condition; Several sets of second pressure data are obtained by conducting wind tunnel pressure tests on the photovoltaic panel model under the second working condition, and each set of second pressure data corresponds to a different first test area; Determine the second force data corresponding to each group of the second pressure measurement data; Several sets of second force measurement data are obtained by conducting wind tunnel force measurement tests on the target photovoltaic panel structure under the second working condition, and each set of second force measurement data corresponds to a different second test area; Determine the second sub-conversion coefficient for each of the first test areas based on the second force data and the second force measurement data; The conversion factor of the photovoltaic panel model under the second operating condition is determined based on the second sub-conversion factor.

5. The method according to any one of claims 1-4, characterized in that, The method further includes: Obtain the third force measurement data obtained by wind tunnel force measurement test of the target photovoltaic panel structure under the third working condition; Obtain the structural geometry data and material property data of the target photovoltaic panel structure, and obtain the boundary condition data and environmental condition data corresponding to the third working condition; Based on the structural geometry data, the material property data, the boundary condition data, and the environmental condition data, the third stress data of the target photovoltaic panel structure under the third working condition is determined by finite element simulation. The force measurement test of the target photovoltaic panel structure is verified based on the third force measurement data and the third force application data.

6. The method according to claim 1, characterized in that, The first working condition includes arranging several different roughness elements and several different wedges at the wind tunnel entrance.

7. The method according to claim 1, characterized in that, The photovoltaic panel model is made of transparent material.

8. The method according to claim 7, characterized in that, The photovoltaic panel model is made of polycarbonate material.

9. The method according to any one of claims 1-4, characterized in that, The target photovoltaic panel structure is either a single-row longitudinal or a double-row longitudinal.

10. A photovoltaic structure wind tunnel testing device, characterized in that, include: The first acquisition module is used to acquire several sets of first pressure data obtained by wind tunnel pressure test of photovoltaic panel model under first working condition, wherein the photovoltaic panel model is a rigid model made in proportion to the target photovoltaic panel structure, and each set of first pressure data corresponds to a different first test area of ​​the photovoltaic panel model. The first determining module is used to determine the first force data corresponding to each of the first test areas; The second acquisition module is used to acquire several sets of first force data obtained by wind tunnel force measurement test of the target photovoltaic panel structure under the first working condition. Each set of first force data corresponds to a different second test area of ​​the target photovoltaic panel structure. The second test area corresponds to the first test area. The second determining module is used to determine the first sub-conversion coefficient for each of the first test areas based on the first force data and the first force measurement data. The third determining module is used to determine the conversion factor of the photovoltaic panel model under the first working condition based on the first sub-conversion factor.

11. A computer device, characterized in that, include: At least one processor; and A memory communicatively connected to the at least one processor; wherein: The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the method as described in any one of claims 1 to 9.

13. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the steps of the method according to any one of claims 1 to 9.

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