Method and device for determining fluid bearing threshold value of photovoltaic support system

Abstract

The invention discloses a method and device for determining a fluid bearing threshold value of a photovoltaic support system, and belongs to the field of photovoltaic support systems. The method for determining the fluid bearing threshold of the photovoltaic support system comprises the following steps: constructing a two-dimensional simulation model corresponding to the photovoltaic support system based on basic parameters of the photovoltaic support system; on the basis of the fluid velocity, a two-dimensional simulation model is adopted for simulation, and motion information, changing along with time, of the photovoltaic support system under the action of the fluid velocity is obtained; and determining a fluid bearing threshold value corresponding to the photovoltaic support system based on the motion information corresponding to different fluid speeds. According to the method for determining the fluid bearing threshold value of the photovoltaic support system, the design cost can be saved on the basis that the accuracy of the obtained critical wind speed of the photovoltaic support system is improved, so that the reasonability and stability of photovoltaic support arrangement are improved, and good convenience and design efficiency are achieved.

Description

Technical Field

[0001] The present application belongs to the field of photovoltaic support systems, and in particular, relates to a method and device for determining a fluid bearing threshold value of a photovoltaic support system. Background Art

[0002] In recent years, the photovoltaic industry has flourished. Flexible brackets have been continuously recognized by customers for their large span, small footprint, low cost, and strong terrain adaptability. However, as the span of the flexible bracket increases, the structural stiffness gradually decreases, and it becomes more sensitive to wind loads. The flexible bracket is affected by both static and dynamic forces of wind loads, and the wind-induced vibration effect of the structure begins to appear. In extreme weather, destructive divergent self-excited vibrations such as flutter may even occur. When designing the structure of the flexible bracket, it is necessary to ensure that the wind speed of the project site is lower than the critical wind speed of the structural flutter to ensure that the flexible bracket will not experience destructive divergent self-excited vibrations within the design service life. In the related art, when designing the structure of the flexible bracket, the wind vibration coefficient is usually used to consider the pulsation amplification effect of the wind load to achieve the conversion of the dynamic problem into a static problem, but this simplified processing method leads to large errors, making it impossible to effectively avoid the flutter instability of the flexible bracket. In addition, the dynamic stability performance of the flexible bracket can also be evaluated by the aeroelastic wind tunnel test method. However, the aeroelastic wind tunnel test has problems such as high cost, high difficulty in model making, and time-consuming and labor-intensive testing. Summary of the invention

[0003] The present application aims to solve at least one of the technical problems existing in the related art. To this end, the present application proposes a method and device for determining the fluid bearing threshold of a photovoltaic support system, which can effectively determine the critical wind speed at which the photovoltaic support system flutters without converting the dynamic problem into a static problem, and does not require an aeroelastic wind tunnel test. On the basis of improving the accuracy of the critical wind speed of the photovoltaic support system obtained, thereby improving the rationality and stability of the photovoltaic support layout, the design cost is saved, and it has good convenience and design efficiency.

[0004] In a first aspect, the present application provides a method for determining a fluid bearing threshold of a photovoltaic support system, wherein the photovoltaic support system includes a photovoltaic support and a photovoltaic assembly installed on the photovoltaic support, and the method includes:

[0005] Based on the basic parameters of the photovoltaic support system, a two-dimensional simulation model corresponding to the photovoltaic support system is constructed, wherein the two-dimensional simulation model is used to simulate the movement of the photovoltaic support system under the action of fluid and the change over time;

[0006] Based on the fluid velocity, the two-dimensional simulation model is used to perform simulation to obtain the motion information of the photovoltaic support system that changes with time under the action of the fluid velocity;

[0007] Based on the motion information corresponding to different fluid speeds, the fluid bearing threshold corresponding to the photovoltaic support system is determined.

[0008] According to the method for determining the fluid bearing threshold of the photovoltaic support system of the present application, a two-dimensional simulation model corresponding to the photovoltaic support system is constructed based on the basic parameters of the photovoltaic support system, and then based on the fluid velocity, the two-dimensional simulation model is used for simulation to obtain the motion information of the photovoltaic support system that changes with time under the action of the fluid velocity, and then based on the motion information corresponding to different fluid velocities, that is, the centroid displacement in each direction, the fluid bearing threshold corresponding to the photovoltaic support system is determined. This can simplify the actual scenario of the photovoltaic support system under the action of wind into a dynamic simulation scenario of the fluid acting on the photovoltaic support in a virtual physical scenario. The critical wind speed at which flutter occurs in the photovoltaic support system can be effectively determined without converting the dynamic problem into a static problem, and there is no need to conduct aeroelastic wind tunnel tests. On the basis of improving the accuracy of the critical wind speed of the photovoltaic support system obtained, thereby improving the rationality and stability of the photovoltaic support layout, the design cost is saved, and it has good convenience and design efficiency.

[0009] According to an embodiment of the present application, constructing a two-dimensional simulation model corresponding to the photovoltaic support system based on the basic parameters of the photovoltaic support system includes:

[0010] Based on the basic parameters, a geometric model corresponding to the photovoltaic support system is constructed, wherein the degree of freedom of the geometric model includes at least one of rotational motion based on a rotation center and translational motion along a vertical direction;

[0011] Based on the geometric model, determining a fluid calculation domain;

[0012] The two-dimensional simulation model is constructed based on the geometric model and the fluid calculation domain.

[0013] According to an embodiment of the present application, determining the fluid calculation domain based on the geometric model includes:

[0014] Determine a first vertical boundary and a second vertical boundary of the fluid calculation domain, place the geometric model in the fluid calculation domain, when the fluid at the first vertical boundary and perpendicular to the first vertical boundary reaches the photovoltaic component in the geometric model, the reflow rate is less than a first threshold, and the distance between the second vertical boundary and the first vertical boundary is not less than the fully developed length corresponding to the fluid;

[0015] Determining a first lateral boundary of the fluid calculation domain based on the plane where the geometric model is placed;

[0016] Determining a second lateral boundary of the fluid calculation domain based on the first vertical boundary, the basic parameters and a preset blockage rate;

[0017] The fluid calculation domain is determined based on the first vertical boundary, the second vertical boundary, the first lateral boundary, and the second lateral boundary.

[0018] According to one embodiment of the present application, constructing the two-dimensional simulation model based on the geometric model and the fluid calculation domain includes:

[0019] Placing the geometric model in the fluid calculation domain, and meshing the fluid calculation domain to obtain a plurality of dynamic grid points, wherein each of the dynamic grid points is used to simulate the fluid velocity and fluid pressure at a corresponding position of the dynamic grid point at different time values;

[0020] The two-dimensional simulation model is constructed by using constraint functions to constrain the boundaries of the fluid calculation domain.

[0021] According to an embodiment of the present application, the simulation based on the fluid velocity is performed using the two-dimensional simulation model to obtain the motion information of the photovoltaic support system that changes with time under the action of the fluid velocity, including:

[0022] Based on the basic parameters, determining the kinetic parameters of the photovoltaic module at the starting time value;

[0023] Based on the kinetic parameters at each time value and the fluid velocity, the two-dimensional simulation model is used to perform simulation to obtain the motion information; wherein the kinetic parameters at the next time value are calculated based on the kinetic parameters at the previous time value and a preset functional relationship.

[0024] According to an embodiment of the present application, determining the fluid bearing threshold corresponding to the photovoltaic support system based on the motion information corresponding to different fluid velocities includes:

[0025] If it is determined based on the motion information that the photovoltaic support system does not suffer from flutter instability, increasing the fluid velocity, and based on the increased fluid velocity, using the two-dimensional simulation model to perform simulation;

[0026] If it is determined based on the motion information that the photovoltaic support system has vibrated and become unstable, the minimum fluid velocity that causes the photovoltaic support system to vibrate and become unstable is determined as the fluid bearing threshold corresponding to the photovoltaic support system.

[0027] According to an embodiment of the present application, the motion information includes at least one of a torsion angle and a centroid vertical displacement corresponding to the photovoltaic support system, and determining that the photovoltaic support system has vibrated and become unstable based on the motion information includes:

[0028] When at least one of the torsion angle and the centroid vertical displacement exceeds a preset threshold, it is determined that flutter instability occurs in the photovoltaic support system.

[0029] According to one embodiment of the present application, the basic parameters include: at least one of the torsional vibration frequency, vertical bending vibration frequency, torsional damping ratio, vertical bending damping ratio, mass of the photovoltaic component, moment of inertia per unit length, component panel size, installation inclination angle and height from the ground.

[0030] According to one embodiment of the present application, the torsional vibration frequency and the vertical bending vibration frequency are determined in the following manner:

[0031] Constructing a three-dimensional finite element model corresponding to the photovoltaic support system;

[0032] Modal analysis is performed on the three-dimensional finite element model to obtain the torsional vibration frequency and the vertical bending vibration frequency.

[0033] According to an embodiment of the present application, after the two-dimensional simulation model is used to perform simulation based on the fluid velocity to obtain the motion information of the photovoltaic support system that changes with time under the action of the fluid velocity, the method further includes:

[0034] converting the motion information into image information;

[0035] The image information is displayed.

[0036] In a second aspect, the present application provides a fluid bearing threshold determination device for a photovoltaic support system, wherein the photovoltaic support system includes a photovoltaic support and a photovoltaic assembly installed on the photovoltaic support, and the device includes:

[0037] A first processing module is used to construct a two-dimensional simulation model corresponding to the photovoltaic support system based on basic parameters of the photovoltaic support system, and the two-dimensional simulation model is used to simulate the movement of the photovoltaic support system under the action of fluid and the change over time;

[0038] A second processing module is used to perform simulation based on the fluid velocity using the two-dimensional simulation model to obtain the motion information of the photovoltaic support system that changes with time under the action of the fluid velocity;

[0039] The third processing module is used to determine the fluid bearing threshold corresponding to the photovoltaic support system based on the motion information corresponding to different fluid speeds.

[0040] According to the fluid bearing threshold determination device of the photovoltaic support system of the present application, based on the basic parameters of the photovoltaic support system, a two-dimensional simulation model corresponding to the photovoltaic support system is constructed, and then based on the fluid velocity, the two-dimensional simulation model is used for simulation to obtain the motion information of the photovoltaic support system that changes with time under the action of the fluid velocity, and then based on the motion information corresponding to different fluid velocities, that is, the centroid displacement in each direction, the fluid bearing threshold corresponding to the photovoltaic support system is determined. This can simplify the actual scenario of the photovoltaic support system under the action of wind into a dynamic simulation scenario of the fluid acting on the photovoltaic support in a virtual physical scenario. The critical wind speed at which flutter occurs in the photovoltaic support system can be effectively determined without converting the dynamic problem into a static problem, and there is no need to conduct aeroelastic wind tunnel tests. On the basis of improving the accuracy of the critical wind speed of the photovoltaic support system obtained, thereby improving the rationality and stability of the photovoltaic support layout, the design cost is saved, and it has good convenience and design efficiency.

[0041] In a third aspect, the present application provides a photovoltaic support system, comprising:

[0042] Photovoltaic bracket;

[0043] Photovoltaic assembly; the photovoltaic assembly is installed on the photovoltaic bracket;

[0044] The photovoltaic support system predicts the fluid bearing threshold based on the method for determining the fluid bearing threshold of the photovoltaic support system as described in the first aspect.

[0045] In a fourth aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for determining the fluid bearing threshold of the photovoltaic support system as described in the first aspect above is implemented.

[0046] In a fifth aspect, the present application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for determining a fluid bearing threshold of a photovoltaic support system as described in the first aspect above.

[0047] In a sixth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the method for determining a fluid bearing threshold of a photovoltaic support system as described in the first aspect above.

[0048] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0050] Figure 1 This is one of the flow diagrams of the method for determining the fluid bearing threshold of the photovoltaic support system provided in the embodiment of the present application;

[0051] Figure 2 This is the second flow chart of the method for determining the fluid bearing threshold value of the photovoltaic support system provided in the embodiment of the present application;

[0052] Figure 3 This is the third flow chart of the method for determining the fluid bearing threshold value of the photovoltaic support system provided in the embodiment of the present application;

[0053] Figure 4 It is a structural schematic diagram of a two-dimensional simulation model provided in an embodiment of the present application;

[0054] Figure 5 is a schematic diagram of the results of a method for determining a fluid bearing threshold value of a photovoltaic support system provided in an embodiment of the present application;

[0055] Figure 6 It is a structural schematic diagram of a fluid bearing threshold determination device for a photovoltaic support system provided in an embodiment of the present application;

[0056] Figure 7 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0058] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0059] In combination with the accompanying drawings, the fluid tolerance threshold determination method of the photovoltaic support system, the fluid tolerance threshold determination device of the photovoltaic support system, the electronic device and the readable storage medium provided in the embodiments of the present application are described in detail through specific embodiments and their application scenarios.

[0060] Among them, the method for determining the fluid bearing threshold of the photovoltaic support system can be applied to the terminal, and can be specifically executed by hardware or software in the terminal.

[0061] The terminal includes but is not limited to portable communication devices such as mobile phones or tablet computers. It should also be understood that in some embodiments, the terminal may not be a portable communication device, but a desktop computer.

[0062] The embodiment of the present application provides a method for determining the fluid bearing threshold of a photovoltaic support system. The executor of the method for determining the fluid bearing threshold of a photovoltaic support system may be an electronic device or a functional module or functional entity in the electronic device that can implement the method for determining the fluid bearing threshold of the photovoltaic support system. The electronic devices mentioned in the embodiment of the present application include but are not limited to mobile phones, tablet computers, computers, cameras, and wearable devices. The method for determining the fluid bearing threshold of a photovoltaic support system provided in the embodiment of the present application is described below using an electronic device as an example of the executor.

[0063] like Figure 1 As shown, the method for determining the fluid bearing threshold of the photovoltaic support system includes: S110, S120 and S130.

[0064] Photovoltaic brackets are special structural components used to support, fix and rotate photovoltaic components in solar photovoltaic power generation systems.

[0065] The photovoltaic support system includes a photovoltaic support and a photovoltaic module installed on the photovoltaic support.

[0066] Photovoltaic brackets can include distributed brackets, fixed brackets and tracking brackets, etc.

[0067] In some embodiments, the photovoltaic support may further include a flexible support.

[0068] Photovoltaic modules include photovoltaic panels.

[0069] The fluid bearing threshold may be a maximum fluid velocity that the photovoltaic support system can withstand, such as a critical wind speed.

[0070] S110, constructing a two-dimensional simulation model corresponding to the photovoltaic support system based on basic parameters of the photovoltaic support system;

[0071] In this step, the basic parameters of the photovoltaic support system may include basic parameters of the photovoltaic support and basic parameters of the photovoltaic assembly.

[0072] Among them, the basic parameters of the photovoltaic components are used to subsequently construct the geometric model structure of the photovoltaic support system, and the basic parameters of the photovoltaic support are used to subsequently calculate the movement information of the photovoltaic support system under the action of wind.

[0073] In some embodiments, the basic parameters of the photovoltaic support system may include: at least one of the torsional vibration frequency, vertical bending vibration frequency, torsional damping ratio, vertical bending damping ratio, mass of the photovoltaic component, moment of inertia per unit length, component panel size, installation inclination angle and height from the ground.

[0074] In this embodiment, the panel size, installation inclination angle and height from the ground of the photovoltaic module are basic parameters of the photovoltaic module; the torsional vibration frequency, vertical bending vibration frequency, torsional damping ratio, vertical bending damping ratio, mass of the photovoltaic module and moment of inertia per unit length are basic parameters of the photovoltaic bracket.

[0075] Among them, the torsional vibration frequency is the natural vibration frequency of the photovoltaic support structure in the torsional direction, that is, the vibration frequency when the structure rotates around a certain axis (usually a vertical axis).

[0076] The vertical bending vibration frequency is the natural vibration frequency of the photovoltaic support structure in the vertical bending direction, that is, the vibration frequency when the structure bends in the vertical direction.

[0077] Torsional and vertical bending vibration frequencies are key parameters for describing the dynamic characteristics of photovoltaic support systems and are used to evaluate and design the wind resistance and structural stability of photovoltaic support systems.

[0078] In this embodiment, the first-order torsional vibration frequency and the first-order vertical bending vibration frequency are selected as indicator parameters, wherein the first-order torsional vibration frequency is the lowest natural frequency when the structure undergoes torsional vibration in the torsional direction; the first-order vertical bending vibration frequency is the lowest natural frequency when the structure undergoes bending vibration in the vertical direction.

[0079] In the actual implementation process, the first-order torsional vibration frequency and the first-order vertical bending vibration frequency have a greater impact on the vibration response of the photovoltaic support system than other high-order vibration frequencies, and can better reflect the basic vibration characteristics of the photovoltaic support system.

[0080] In some embodiments, the first-order torsional vibration frequency and the first-order vertical bending vibration frequency can be obtained by analyzing the photovoltaic support system based on modal analysis and three-dimensional finite element simulation methods.

[0081] In other implementations, relatively appropriate torsional vibration frequencies and vertical bending vibration frequencies may be selected as index parameters as needed.

[0082] In some embodiments, the torsional vibration frequency and the vertical bending vibration frequency are determined as follows:

[0083] Construct a three-dimensional finite element model corresponding to the photovoltaic support system;

[0084] Modal analysis is performed on the three-dimensional finite element model to obtain the torsional vibration frequency and vertical bending vibration frequency.

[0085] In this embodiment, the three-dimensional finite element model is used to transform the actual photovoltaic support system structure into a discretized model composed of many small units, and the response information of the entire structure is obtained by solving the mathematical equations of each unit.

[0086] The response information may include information such as displacement, stress, and strain of the photovoltaic support system structure.

[0087] Modal analysis is used to calculate the basic parameters of photovoltaic brackets such as vibration frequency and vibration shape based on the response information of the three-dimensional finite element model.

[0088] In the actual implementation process, based on constructing a three-dimensional finite element model corresponding to the photovoltaic support system, modal analysis is performed based on the three-dimensional finite element model to obtain the torsional vibration frequency and the vertical bending vibration frequency, which can improve the accuracy of the torsional vibration frequency and the vertical bending vibration frequency.

[0089] The torsional damping ratio is a dimensionless parameter that describes the energy dissipation of a structure during torsional vibration.

[0090] The vertical bending damping ratio is a dimensionless parameter that describes the energy dissipation degree of a structure during vertical bending vibration.

[0091] In the actual implementation process, the torsional damping ratio and the vertical bending damping ratio are defined as the ratio of the actual damping coefficient to the critical damping coefficient, which are used to characterize the damping level of the structure; the size of the torsional damping ratio affects the attenuation speed and stability of the torsional vibration of the structure, and the same is true for the vertical bending damping ratio.

[0092] In some embodiments, the torsional damping ratio and vertical bending damping ratio of the photovoltaic support system can be determined through field measurements or engineering experience.

[0093] Moment of inertia is a physical quantity that describes an object's resistance to rotational motion.

[0094] The moment of inertia per unit length is the moment of inertia of the panel per unit length about a certain rotation axis.

[0095] In some embodiments, the moment of inertia per unit length and mass of the photovoltaic module panel can be determined by mechanical formulas.

[0096] The module panel size refers to the size of the photovoltaic module panel.

[0097] The installation inclination angle is the angle between the photovoltaic module and the ground.

[0098] The height above ground is the distance between the photovoltaic module and the ground.

[0099] In some embodiments, the component panel size, installation angle, height from the ground, etc. can be set according to actual project conditions.

[0100] In the actual implementation process, based on the basic parameters of the photovoltaic modules, such as the panel size, installation inclination angle and height from the ground, the accuracy and reliability of the subsequently established geometric model structure can be improved. Based on the basic parameters of the photovoltaic support system, such as the torsional vibration frequency, vertical bending vibration frequency, torsional damping ratio, vertical bending damping ratio, mass of the photovoltaic modules, moment of inertia per unit length, the accuracy and reliability of the motion information of the photovoltaic support system under wind force obtained by subsequent calculation can be improved.

[0101] The two-dimensional simulation model is a physical model used to simulate the movement of a photovoltaic support system under the action of fluid and its changes over time.

[0102] The fluid may be flowing air with a certain flow velocity, that is, the fluid action may be wind action.

[0103] The time-varying motion can be understood as wind-induced vibration.

[0104] Among them, wind-induced vibration refers to the vibration phenomenon that occurs to physical entities such as buildings, bridges and tall structures under the action of wind.

[0105] Wind-induced vibrations may include divergent vibrations such as flutter and gallop, and limited-amplitude vibrations such as buffeting and vortex-induced vibrations. Divergent vibrations may cause catastrophic damage to the structure, while long-term effects of limited-amplitude vibrations may cause fatigue damage.

[0106] In the actual implementation process, if the wind-induced vibration is relatively mild, it will not cause damage to the physical entity, but if the wind-induced vibration is relatively severe, it will pose a threat to the structural safety of the physical entity.

[0107] It can be understood that the movement of the photovoltaic support system under the action of fluid changes over time, which can be understood as the wind-induced vibration of the photovoltaic support system under the action of wind changes over time.

[0108] In the actual implementation process, as the wind force, that is, the wind speed, increases, the wind-induced vibration of the photovoltaic support system will become more and more serious. When the wind speed reaches the critical wind speed, that is, the fluid bearing threshold of the photovoltaic support system, the photovoltaic support system will experience destructive divergent self-excited vibrations such as flutter, which will cause damage to the photovoltaic support system.

[0109] The two-dimensional simulation model may include a module for simulating the motion characteristics of the photovoltaic support, namely, the wind-induced vibration characteristics, and a module for simulating the fluid generation area.

[0110] In the actual implementation process, any feasible simulation method can be used to construct a two-dimensional simulation model.

[0111] In some embodiments, the two-dimensional simulation model may be a two-dimensional plane scene simulation model simplified based on a three-dimensional actual scene.

[0112] In this embodiment, in a three-dimensional actual scene, the fluid force of the photovoltaic support system in the dimension with less correlation with the subsequent calculation of the fluid bearing threshold of the photovoltaic support system can be set to 0, and the focus can be placed on the correlation change relationship between the force in the dimension with greater correlation and the fluid bearing threshold, thereby simplifying the dimension of the simulation model and improving calculation efficiency.

[0113] S120, based on the fluid velocity, a two-dimensional simulation model is used to perform simulation to obtain the motion information of the photovoltaic support system that changes with time under the action of the fluid velocity;

[0114] In this step, the fluid velocity can be understood as the wind speed.

[0115] The motion information may include the centroid displacement change information of the photovoltaic support system in various directions under the action of wind force, where the centroid is the geometric center of the photovoltaic support system, that is, the center of mass.

[0116] In the actual implementation process, different fluid velocities can be set and two-dimensional simulation models under different fluid velocities can be used for simulation, so as to obtain the centroid displacement of the photovoltaic support system in various directions under wind force at different fluid velocities, that is, wind speeds.

[0117] It should be noted that the value of the centroid displacement will fluctuate up and down in a wave-like manner with the change of time, but when the fluid velocity is constant, the maximum and minimum values ​​of the centroid displacement are approximately unchanged, that is, when the fluid velocity is constant, the value of the centroid displacement fluctuates steadily within the range of the maximum and minimum values, forming wind-induced vibration.

[0118] It can be understood that the motion information that changes with time, that is, the centroid displacement that changes with time, can be used to reflect the wind-induced vibration of the photovoltaic support system; when the fluctuation range of the centroid displacement is large, the wind-induced vibration is more serious; when the fluctuation range of the centroid displacement is small, the wind-induced vibration is relatively mild.

[0119] S130. Determine a fluid bearing threshold corresponding to the photovoltaic support system based on motion information corresponding to different fluid velocities.

[0120] In this step, different fluid velocities correspond to different motion information, that is, the centroid displacements of the photovoltaic support system are different under different fluid velocities.

[0121] In the actual implementation process, the greater the fluid velocity, the greater the fluctuation range of the centroid displacement over time, that is, the more severe the wind-induced vibration. When the fluid velocity reaches the fluid tolerance threshold, the fluctuation range of the centroid displacement will exceed the tolerance range of the structural stability of the photovoltaic support system, that is, the photovoltaic support system will flutter.

[0122] It is understandable that by comparing the operating information corresponding to different fluid velocities, the fluid velocity when the photovoltaic support system vibrates can be determined as the fluid tolerance threshold corresponding to the photovoltaic support system.

[0123] During the research and development process, the inventors found that in the related art, when designing the structure of the flexible bracket, the wind vibration coefficient is usually used to consider the pulsation amplification effect of the wind load to achieve the transformation of the dynamic problem into a static problem, but this simplified processing method cannot effectively prevent the flexible bracket from vibrating and becoming unstable, which poses a great safety hazard. In addition, the dynamic stability performance of the flexible bracket can also be evaluated through the pneumatic wind tunnel test method, however, the pneumatic wind tunnel test has the problems of high cost, high difficulty in model making, and time-consuming and labor-intensive test.

[0124] In the present application, based on the basic parameters of the photovoltaic support system, a two-dimensional simulation model corresponding to the photovoltaic support system is constructed, and the actual scene of the photovoltaic support system under the action of wind can be simplified into a virtual physical scene simulation model; then based on the fluid velocity, a two-dimensional simulation model is used for simulation to obtain the motion information of the photovoltaic support system under the action of the fluid velocity that changes with time, and the centroid displacement of the photovoltaic support system in various directions under different wind speeds can be obtained; then based on the motion information corresponding to different fluid velocities, that is, the centroid displacement in various directions, the fluid bearing threshold corresponding to the photovoltaic support system is determined, and the critical wind speed of the photovoltaic support system that flutters can be determined without the need for aeroelastic wind tunnel tests and without converting dynamic problems into static problems. This can save the experimental cost of determining the critical wind speed of the photovoltaic support system while ensuring the accuracy of the critical wind speed of the photovoltaic support system, improve the convenience of determining the critical wind speed, and thus improve the efficiency of determining the critical wind speed.

[0125] According to the method for determining the fluid bearing threshold of a photovoltaic support system provided in an embodiment of the present application, a two-dimensional simulation model corresponding to the photovoltaic support system is constructed based on the basic parameters of the photovoltaic support system, and then based on the fluid velocity, the two-dimensional simulation model is used for simulation to obtain the motion information of the photovoltaic support system that changes with time under the action of the fluid velocity, and then based on the motion information corresponding to different fluid velocities, that is, the centroid displacement in each direction, the fluid bearing threshold corresponding to the photovoltaic support system is determined. This can simplify the actual scenario of the photovoltaic support system under the action of wind into a dynamic simulation scenario of the fluid acting on the photovoltaic support in a virtual physical scenario. The critical wind speed at which flutter occurs in the photovoltaic support system can be effectively determined without converting the dynamic problem into a static problem, and there is no need to conduct aeroelastic wind tunnel tests. On the basis of improving the accuracy of the critical wind speed of the photovoltaic support system obtained, thereby improving the rationality and stability of the photovoltaic support layout, the design cost is saved, and it has good convenience and design efficiency.

[0126] The following is an explanation of the construction process of the two-dimensional simulation model corresponding to the photovoltaic support system.

[0127] In some embodiments, S110 may include:

[0128] Based on the basic parameters, the geometric model corresponding to the photovoltaic support system is constructed;

[0129] Based on the geometric model, determine the fluid calculation domain;

[0130] A two-dimensional simulation model is constructed based on the geometric model and fluid calculation domain.

[0131] In this embodiment, the geometric model is a model used to simulate the motion characteristics of the photovoltaic support system.

[0132] The geometric model is a two-dimensional geometric structure composed of geometric elements such as points, lines and surfaces.

[0133] The shape of the geometric model may be similar to the shape of the actual photovoltaic support system in the longitudinal section.

[0134] In some embodiments, the structure contained in the longitudinal section of the actual photovoltaic support system can also be simplified in the geometric model, and the components that are greatly affected by the fluid action and the movement characteristics of the components are retained to construct the geometric model.

[0135] For example, Figure 4As shown, since the stress-bearing part of the photovoltaic support system is mainly the photovoltaic module part, the photovoltaic support system can be simplified into photovoltaic modules when performing two-dimensional simulation modeling. The photovoltaic modules in the figure can be understood as the vertical section in the depth direction of the photovoltaic modules in the photovoltaic support system in the actual scene, that is, the longitudinal section, while ignoring the number of photovoltaic modules in the depth direction of the photovoltaic module, that is, the section can represent one photovoltaic module or multiple photovoltaic modules in the depth direction.

[0136] The degree of freedom of the geometric model includes at least one of rotational movement based on a rotation center and translational movement along a vertical direction.

[0137] In the actual implementation process, the geometric model corresponding to the photovoltaic support system can be simplified into a two-degree-of-freedom model, including rotational displacement freedom and vertical displacement freedom. Among them, the rotational displacement and vertical displacement freedom can capture the main motion characteristics of the photovoltaic support system under the action of fluid.

[0138] In some embodiments, when the geometric model corresponding to the photovoltaic support system is simplified to a two-degree-of-freedom model, the time-varying motion information of the photovoltaic support system under the action of fluid velocity may include the centroid torsion angle and centroid vertical displacement of the photovoltaic support system.

[0139] In this embodiment, the centroid torsion angle may be the rotation angle of the photovoltaic support system around its centroid axis after being subjected to torsion, and is used to describe the deformation of the photovoltaic support system under torsion load.

[0140] The centroid vertical displacement can be the change in the centroid position along the vertical direction after the photovoltaic support system is subjected to a vertical load.

[0141] In the actual implementation process, simplifying the geometric model corresponding to the photovoltaic support system into a rotational displacement and vertical displacement degree of freedom model can reduce the complexity of the geometric model, while improving the calculation efficiency and ensuring the accuracy and reliability of the photovoltaic support system motion information.

[0142] In some embodiments, a geometric model corresponding to a photovoltaic support system is constructed based on basic parameters. The length, width, ground distance, installation inclination angle and other data of photovoltaic components in the photovoltaic support system are determined based on the basic parameters of the photovoltaic components, and then the data is drawn in software with a geometric drawing function based on the data; wherein the software with a geometric drawing function may include CAD (computer-aided design) or CFD (computational fluid dynamics) pre-processing software (such as Gambit, ICEM CFD), etc.

[0143] Among them, data such as the length, width, distance from the ground and installation inclination angle of photovoltaic modules in the photovoltaic support system are obtained based on actual project conditions.

[0144] It can be understood that the geometric model obtained by drawing is a structural model that is proportionally reduced according to the actual installation situation of the photovoltaic components in the simplified photovoltaic support system.

[0145] It should be noted that, in addition to the geometric structure, the constructed geometric model is also configured with a variety of attributes or parameter information, such as the length and width of the photovoltaic module, the position coordinate information of the photovoltaic module in the geometric model, and the material, density and elastic modulus of the photovoltaic module. Software with geometric drawing functions can not only draw the geometric structure of the geometric model, but also configure the various attributes or parameter information corresponding to the geometric model, thereby establishing the final geometric model.

[0146] The fluid computational domain is the area used to simulate fluid flow.

[0147] like Figure 4 As shown, in some embodiments, the fluid calculation domain can be a rectangular area surrounding the geometric model, including: an inlet boundary, an outlet boundary of the fluid flow, and a solid boundary (ground and photovoltaic components) that interacts with the fluid.

[0148] In the actual implementation process, the size of the fluid calculation domain can be set based on the goal of simulating the fluid in the region to be realistic and effective and to make the geometric model be affected by the fluid.

[0149] In some embodiments, the geometric model can be set as a module in the simulation model for simulating the motion characteristics of the photovoltaic support, and the fluid calculation domain can be set as a module in the simulation model for simulating the fluid generation area, thereby forming a two-dimensional simulation model.

[0150] According to the method for determining the fluid bearing threshold of the photovoltaic support system provided in the embodiment of the present application, a geometric model corresponding to the photovoltaic support system is constructed based on basic parameters, and then the fluid calculation domain is determined based on the geometric model. Then, based on the geometric model and the fluid calculation domain, a two-dimensional simulation model is constructed. This can realize the construction of a virtual physical scene simulation model simplified based on the actual scene of the photovoltaic support system under the action of wind, providing a model basis for subsequent simulation.

[0151] In some embodiments, determining the fluid computational domain based on the geometric model may include:

[0152] Determining a first vertical boundary and a second vertical boundary of a fluid calculation domain;

[0153] Determine a first lateral boundary of the fluid computational domain based on the plane on which the geometric model is placed;

[0154] Determining a second lateral boundary of the fluid calculation domain based on the first vertical boundary, the basic parameters and the preset blockage rate;

[0155] A fluid calculation domain is determined based on the first vertical boundary, the second vertical boundary, the third vertical boundary, and the fourth vertical boundary.

[0156] In this embodiment, the first vertical boundary is an inlet boundary of the fluid flow in the fluid calculation domain, and the second vertical boundary is an outlet boundary of the fluid flow in the fluid calculation domain.

[0157] The first vertical boundary is used to ensure that when the geometric model is placed in the fluid calculation domain, when the fluid at the first vertical boundary and perpendicular to the vertical boundary reaches the photovoltaic component in the geometric model, the backflow rate is less than a first threshold.

[0158] The distance between the second vertical boundary and the first vertical boundary is not less than the fully developed length corresponding to the fluid.

[0159] Among them, backflow can be the phenomenon that the fluid flows back into the fluid calculation domain from the outlet boundary.

[0160] In actual implementation, a high reflow rate will lead to a decrease in the accuracy of numerical simulation in the fluid calculation domain.

[0161] It can be understood that the first threshold is a reflux threshold for limiting the reflux rate, and the specific value can be customized based on engineering experience.

[0162] The fully developed length corresponding to the fluid is the length required for the fluid flow to reach a stable state in the fluid calculation domain.

[0163] It can be understood that the distance between the first vertical boundary and the geometric model can be set to a distance where, when the geometric model is placed in the fluid calculation domain, when the fluid at the first vertical boundary and perpendicular to the vertical boundary reaches the photovoltaic component in the geometric model, the reflow rate is less than the first threshold value; then, based on the distance between the first vertical boundary and the geometric model, the distance between the second vertical boundary and the first vertical boundary is controlled to be not less than the fully developed length corresponding to the fluid, and the distance between the second vertical boundary and the geometric model is determined, thereby determining the first vertical boundary and the second vertical boundary.

[0164] In actual implementation, the distances between the first vertical boundary and the second vertical boundary and the geometric model can be customized by comprehensively considering accuracy and computational efficiency.

[0165] For example, the distance between the first vertical boundary and the geometric model can be set to 5 times the projection of the photovoltaic assembly in the geometric model in the direction of the first lateral boundary, so that when the turbulence at the first vertical boundary (i.e., the inlet boundary) reaches the geometric model, it is not easy to generate backflow and affect the simulation of the first vertical boundary; the distance between the second vertical boundary and the geometric model can be set to 15 times the projection of the photovoltaic assembly in the geometric model in the direction of the first lateral boundary, so that the turbulence can be fully developed.

[0166] It should be noted that the distance between the second vertical boundary and the geometric model should not be set too far; if the distance between the second vertical boundary and the geometric model is set too far, the calculation efficiency will be reduced.

[0167] The plane on which the geometric model is placed can be understood as the plane on which the photovoltaic support system is placed before the geometric model is established, that is, the projection of the ground on the longitudinal section (the ground can be considered to be horizontal).

[0168] In some embodiments, the first lateral boundary may be determined as a plane on which the geometric model is placed.

[0169] It can be understood that the first lateral boundary can represent the ground (solid boundary).

[0170] In the actual implementation process, after determining the first vertical boundary and the second vertical boundary, the distance between the first lateral boundary of the fluid calculation domain and the geometric model can be determined based on the actual distance from the ground of the photovoltaic assembly corresponding to the geometric model, thereby determining the position of the first lateral boundary.

[0171] The second lateral boundary of the fluid calculation domain is a boundary located above the first lateral boundary in the vertical direction.

[0172] The preset blockage rate may be the ratio of the projection length of the predetermined geometric model in the direction perpendicular to the flow (on the inlet boundary of the fluid calculation area) to the inlet boundary length, which may be 3% or 5%, or other ratios less than 5%.

[0173] The blockage ratio can be used to evaluate the stability of the flow in the fluid computational domain and determine the accuracy of the numerical simulation. When the blockage ratio is high, the accuracy of the numerical simulation will be low.

[0174] During the actual implementation process, basic parameters such as the length, width and installation angle of the photovoltaic component can be obtained first, and then based on the preset blockage rate, that is, the ratio of the projection length of the preset geometric model on the first vertical boundary of the fluid calculation area to the length of the first vertical boundary, the length of the first vertical boundary is determined, and the length of the first vertical boundary is determined as the distance between the second lateral boundary and the first lateral boundary, that is, the second lateral boundary is determined as the boundary at the length of the first vertical boundary above the first lateral boundary.

[0175] After the first vertical boundary, the second vertical boundary, the first lateral boundary, and the second lateral boundary are determined, the fluid calculation domain may be determined as a rectangular area surrounded by the first vertical boundary, the second vertical boundary, the first lateral boundary, and the second lateral boundary.

[0176] According to the method for determining the fluid bearing threshold of a photovoltaic support system provided in an embodiment of the present application, by first determining the first vertical boundary and the second vertical boundary of the fluid calculation domain, and then determining the first lateral boundary of the fluid calculation domain based on the plane on which the geometric model is placed, and then determining the second lateral boundary of the fluid calculation domain based on the first vertical boundary, basic parameters and a preset blockage rate, the logic and accuracy of the determination of the fluid calculation domain can be improved, thereby improving the reliability of the fluid calculation domain.

[0177] In some embodiments, constructing a two-dimensional simulation model based on a geometric model and a fluid computational domain may include:

[0178] Place the geometric model in the fluid calculation domain, and divide the fluid calculation domain into grids to obtain multiple dynamic grid points;

[0179] Constraint functions are used to constrain the boundaries of the fluid calculation domain and build a two-dimensional simulation model.

[0180] In this embodiment, placing the geometric model in the fluid calculation domain can be understood as placing the model that can be used to simulate the motion characteristics of the photovoltaic support system in the area that can be used to simulate the fluid flow, forming a two-dimensional simulation model, thereby realizing the simulation of the actual physical scene of the photovoltaic support system being affected by the fluid based on the two-dimensional simulation model.

[0181] Meshing the fluid computational domain can be understood as dividing the fluid computational domain into a plurality of computational units based on the grid.

[0182] In actual implementation, the shape and number of grids can be customized by the user.

[0183] For example, the shape of the grid can be set to a triangle, rectangle, or square.

[0184] In the actual execution process, the shape and number of the grids will affect the calculation accuracy results. In the actual application process, the shape and number of the grids can be continuously adjusted based on the calculation accuracy results to make the calculation accuracy results reach the expected value.

[0185] Each dynamic grid point can be used to simulate the fluid velocity and fluid pressure at the corresponding position (computational unit) of the dynamic grid point at different time values.

[0186] Among them, the fluid velocity and pressure at the corresponding position of different dynamic grid points at the same time value may be different, and the fluid velocity and fluid pressure at the same dynamic grid point at different time values ​​may be different.

[0187] Constraint functions can be used to define functions on the boundaries of the fluid computational domain.

[0188] Using constraint functions to constrain the boundaries of the fluid computation domain can be understood as defining the process of the fluid flow in the fluid computation domain changing with time based on the constraint functions.

[0189] In the actual execution process, each dynamic grid point can simulate the changes in fluid velocity and fluid pressure at the corresponding position based on the changes in fluid flow over time in the fluid calculation domain.

[0190] In some embodiments, the constraint functions of the first vertical boundary, the second vertical boundary, the first lateral boundary and the second lateral boundary of the fluid computational domain may be respectively determined as velocity inlet boundary conditions, pressure outlet boundary conditions, no-slip wall boundary conditions and symmetric boundary conditions.

[0191] In this embodiment, the velocity inlet boundary condition is used to constrain the fluid flow velocity and related scalar properties at the inlet boundary.

[0192] In actual implementation, the velocity inlet boundary condition can specify the velocity and direction of the fluid flowing into the fluid computational domain; in the case of turbulent fluid, the characteristics of the turbulence also need to be specified, such as turbulent kinetic energy and turbulent dissipation rate.

[0193] In the present application, the direction in the velocity inlet boundary condition is perpendicular to the inlet boundary to simulate the worst fluid load scenarios in nature. In the actual implementation process, the direction in the velocity inlet boundary condition can be modified according to the fluid flow direction simulated in the actual project, thereby realizing multi-fluid load scenario simulation.

[0194] The Pressure Outlet boundary condition is used to constrain the pressure at the flow outlet boundary.

[0195] In the actual execution process, the pressure outlet boundary condition can specify the static pressure at the outlet boundary. In the subsequent two-dimensional simulation model simulation process, the fluid outflow velocity and flow rate can be calculated based on the outlet pressure value; in the case of simulating the natural outflow of the fluid from the fluid calculation domain, the static pressure can be specified to be 0, where setting the outlet static pressure to zero means that the static pressure at the outlet is zero relative to the reference pressure (usually set to atmospheric pressure).

[0196] In some embodiments, when the fluid can fully develop from the inlet boundary to the outlet boundary, the pressure outlet boundary condition can be replaced by a free flow boundary condition; wherein the free flow boundary condition does not specify the pressure and fluid velocity at the outlet boundary, etc., allowing the fluid to develop freely, and the flow conditions at the outlet boundary can be extrapolated from the inside of the region, but the pressure outlet boundary condition is easier to make the subsequent two-dimensional simulation model converge than the free flow boundary condition; wherein convergence can be understood as simulation stability.

[0197] The no-slip wall boundary condition is used to constrain the velocity of the fluid at the first lateral boundary to be 0, that is, there is no relative sliding between the fluid and the first lateral boundary.

[0198] In the actual implementation, no-slip wall boundary conditions are used to define the behavior of the fluid near the solid surface.

[0199] It can be understood that the first lateral boundary is a solid surface in the fluid calculation domain, that is, the ground.

[0200] In some embodiments, a no-slip wall boundary condition may be used to constrain the velocity of the fluid at the photovoltaic module to be 0 (because the photovoltaic module is also a solid surface).

[0201] It should be noted that the velocity of the fluid on the solid surface is 0 based on the no-slip wall boundary condition, which does not mean that the force on the solid surface is 0. It is because the fluid will bypass the solid surface (not pass through the solid) when encountering the solid. It can be understood that the velocity of the fluid is 0 when it is infinitely close to the solid surface.

[0202] The symmetric boundary condition is used to constrain the shear stress on the second lateral boundary to be 0, which can be understood as constraining the second lateral boundary to be a boundary that extends infinitely upward from the ground, that is, it can be understood as the sky.

[0203] In the actual execution process, constraint functions are used to constrain the boundaries of the fluid calculation domain, so as to constrain the fluid flow process within the fluid calculation domain, thereby simulating a fluid flow process similar to that in the actual project scene, so that each dynamic grid point can simulate the fluid velocity and fluid pressure at different time values ​​at the corresponding position (calculation unit) of each dynamic grid point based on the fluid flow process to improve the simulation effect.

[0204] In some embodiments, other constraint functions may also be used to constrain other related scalar characteristics within the fluid calculation domain, including: using constraint functions to constrain turbulence models, fluid materials, dynamic grids, pressure-velocity coupling methods, discrete formats, relaxation factors, residuals, initialization, time steps and time steps within the fluid calculation domain; in the actual implementation process, users can customize specific constraint functions according to actual project conditions.

[0205] For example, the turbulence model can be constrained to the SST k-omega model, the fluid material can be constrained to air, and so on.

[0206] According to the method for determining the fluid bearing threshold of a photovoltaic support system provided in an embodiment of the present application, a geometric model is placed in a fluid calculation domain, and the fluid calculation domain is gridded to obtain multiple dynamic grid points. A constraint function is used to constrain the boundaries of the fluid calculation domain to construct a two-dimensional simulation model. The fluid flow process in the fluid calculation domain can be constrained, so that the two-dimensional simulation model can simulate a fluid flow process similar to that in the actual project scenario, thereby improving the simulation effect of the two-dimensional simulation model.

[0207] The following describes a method for obtaining the motion information of a photovoltaic support system that changes over time under the action of fluid velocity.

[0208] In some embodiments, S120 may include:

[0209] Based on the basic parameters, the dynamic parameters of the photovoltaic module at the starting time value are determined;

[0210] Based on the kinetic parameters and fluid velocity at each time value, a two-dimensional simulation model is used to perform simulation to obtain motion information; wherein the kinetic parameters at the next time value are calculated based on the kinetic parameters at the previous time value and a preset functional relationship.

[0211] In this embodiment, the dynamic parameters of the photovoltaic assembly are dynamic response information of the photovoltaic assembly under the action of fluid load.

[0212] The dynamic parameters of a photovoltaic module may include centroid displacement, velocity and acceleration.

[0213] The dynamic parameters of the photovoltaic module at the starting time value can be understood as the dynamic parameters of the photovoltaic module at the initial moment of the fluid load.

[0214] The preset functional relationship is the relationship between the kinetic parameter at the preset next time value and the kinetic parameter at the previous time value.

[0215] In some embodiments, the preset functional relationship may be a functional relationship defined by the Newmark-Beta method.

[0216] In this embodiment, the Newmark-Beta method is a numerical integration method.

[0217] The Newmark-Beta method can transform continuous dynamic problems into a series of static equilibrium problems at specific time points through time discretization, thereby defining the functional relationship between the dynamic parameters of the structure and the solid.

[0218] During the actual implementation process, the dynamic parameters of the photovoltaic module at the starting time value can be determined based on the basic parameters (torsion and vertical bending frequency, damping ratio, mass, etc.), and then the dynamic parameters of the next time value of the starting time value can be derived based on the preset functional relationship, and so on, until the dynamic parameters at each time value are obtained.

[0219] In some embodiments, the prediction function relationship may be expressed as:

[0220] F(t)=f(F(t-1))

[0221] Among them, F(t) is the kinetic parameter at the current time value, F(t-1) is the kinetic parameter at the previous time value, t is the time value, and f is the preset function relationship.

[0222] In some embodiments, based on the dynamic parameters and fluid velocity at each time value, a two-dimensional simulation model is used to perform simulation to obtain motion information, which may include:

[0223] Assign the dynamic parameters at each time value to the geometric model;

[0224] The fluid velocity is used as the input feature of the first vertical boundary, and a two-dimensional simulation model is used for simulation to obtain the motion information of the geometric model that changes with time under the fluid velocity.

[0225] In this embodiment, a two-dimensional simulation model is used for simulation, which is based on the fluid movement mode constrained by various constraint functions and performs fluid flow simulation based on various dynamic grid points.

[0226] During the actual execution process, after the dynamic parameters of the photovoltaic component at each time value are assigned to the geometric model, the two-dimensional simulation model can calculate and obtain the centroid displacement of the geometric model at each time value under the fluid velocity based on the dynamic parameters of the photovoltaic component at each time value during the fluid flow simulation based on the fluid velocity, that is, the motion information.

[0227] In some embodiments, the motion information of the photovoltaic support system during the simulation process of the two-dimensional simulation model can be output based on a user-defined function, so that the user can obtain the motion information.

[0228] According to the method for determining the fluid bearing threshold of the photovoltaic support system provided in the embodiment of the present application, the dynamic parameters of the photovoltaic component at the starting time value are determined based on the basic parameters, and based on the dynamic parameters and fluid velocity at each time value, a two-dimensional simulation model is used for simulation to obtain motion information. In the process of simulating fluid flow based on the fluid velocity, the two-dimensional simulation model can calculate and obtain the motion information of the geometric model that changes with time based on the dynamic parameters of the photovoltaic component at each time value, which can improve the simulation accuracy and reliability of the two-dimensional simulation model, thereby improving the accuracy and reliability of the motion information of the geometric model.

[0229] The following is an explanation of the method for determining the fluid tolerance threshold corresponding to the photovoltaic support system.

[0230] In some embodiments, S130 may include:

[0231] If it is determined based on the motion information that the photovoltaic support system does not suffer from flutter instability, the fluid velocity is increased, and based on the increased fluid velocity, a two-dimensional simulation model is used for simulation;

[0232] If it is determined based on the motion information that the photovoltaic support system has vibrated and become unstable, the minimum fluid velocity that causes the photovoltaic support system to vibrate and become unstable is determined as the fluid bearing threshold corresponding to the photovoltaic support system.

[0233] In this embodiment, during the actual execution process, an initial fluid velocity can be set first, and a two-dimensional simulation model can be simulated based on the initial fluid velocity to obtain the motion information of the photovoltaic support system under the initial fluid velocity. Then, based on the motion information, it can be determined whether flutter instability occurs in the photovoltaic support system. If it does not occur, the fluid velocity can be increased, and the two-dimensional simulation model can be simulated again based on the increased fluid velocity. This cycle is repeated until, at a certain fluid velocity, it is determined based on the motion information that flutter instability occurs in the photovoltaic support system. Then, the fluid velocity is the minimum fluid velocity (critical wind speed) corresponding to the flutter instability of the photovoltaic support system, and the fluid velocity is determined as the fluid tolerance threshold.

[0234] In some embodiments, during the process of increasing the fluid velocity, if the current fluid velocity does not cause flutter instability in the photovoltaic support system, but the next increased fluid velocity causes flutter instability in the photovoltaic support system, the fluid velocity change step size can be reduced, and the fluid velocity can be reduced based on the reduced step size, and then a two-dimensional simulation model can be simulated based on the reduced fluid velocity to determine whether flutter instability occurs in the photovoltaic support system, and so on, gradually approaching the most accurate minimum fluid velocity to improve the accuracy and reliability of the final determined fluid tolerance threshold.

[0235] In some embodiments, when the set initial fluid velocity causes the photovoltaic support system to vibrate and become unstable, the fluid velocity can be reduced, and then a two-dimensional simulation model simulation can be performed based on the reduced fluid velocity. This cycle is repeated until, at a certain fluid velocity, it is determined based on motion information that the photovoltaic support system does not vibrate and become unstable. In this case, the fluid velocity can be determined as the fluid tolerance threshold. Of course, in the process of reducing the fluid velocity, if the current fluid velocity causes the photovoltaic support system to vibrate and become unstable, but the next reduced fluid velocity does not cause the photovoltaic support system to vibrate and become unstable, the fluid velocity change step size can be reduced, and the fluid velocity can be increased based on the reduced step size until the photovoltaic support system vibrates and becomes unstable. In this case, the current fluid velocity can be determined as the fluid tolerance threshold of the photovoltaic support system.

[0236] According to the method for determining the fluid bearing threshold of a photovoltaic support system provided in an embodiment of the present application, by increasing the fluid velocity when it is determined based on motion information that the photovoltaic support system has not experienced flutter instability, and using a two-dimensional simulation model to perform simulation based on the increased fluid velocity, and when it is determined based on motion information that the photovoltaic support system has experienced flutter instability, the minimum fluid velocity corresponding to the flutter instability of the photovoltaic support system is determined as the fluid bearing threshold corresponding to the photovoltaic support system. This can achieve determination of the fluid bearing threshold based on an iterative method, reduce the instability or overflow of determining the fluid bearing threshold based on random fluid velocities, thereby reducing the amount of calculation and calculation errors, and improving the efficiency of determining the fluid bearing threshold and the accuracy of the determination results.

[0237] In some embodiments, the motion information includes at least one of a centroid torsion angle and a centroid vertical displacement corresponding to the photovoltaic support system, and determining that the photovoltaic support system has vibrated and become unstable based on the motion information may include:

[0238] When at least one of the centroid torsion angle and the centroid vertical displacement exceeds a preset threshold, it is determined that the photovoltaic support system has suffered from flutter instability.

[0239] In this embodiment, the motion information includes at least one of the centroid torsion angle and the centroid vertical displacement corresponding to the photovoltaic support system. It can be understood that the two-dimensional simulation model corresponding to the photovoltaic support system is simplified to a model including at least one degree of freedom of rotational displacement and vertical displacement.

[0240] The preset threshold value can be set by engineering designers based on engineering experience.

[0241] During the actual execution process, when the motion information includes at least one of the centroid torsion angle and the centroid vertical displacement corresponding to the photovoltaic support system, the preset thresholds corresponding to the centroid torsion angle and the centroid vertical displacement can be pre-set respectively. During the simulation of the two-dimensional simulation model, the centroid torsion angle and the centroid vertical displacement of the photovoltaic support system will change with the change of time and fluid velocity. When the fluid velocity reaches the fluid bearing threshold, at least one of the centroid torsion angle and the centroid vertical displacement of the photovoltaic support system will reach the preset threshold, then it can be determined that flutter instability has occurred in the photovoltaic support system.

[0242] According to the method for determining the fluid bearing threshold of a photovoltaic support system provided in an embodiment of the present application, by determining that flutter instability has occurred in the photovoltaic support system when the motion information includes at least one of the centroid torsion angle and the centroid vertical displacement corresponding to the photovoltaic support system, and when at least one of the centroid torsion angle and the centroid vertical displacement exceeds a preset threshold, real-time monitoring and intuitive judgment of flutter instability in the photovoltaic support system can be achieved, thereby improving the accuracy and reliability of judgment of flutter instability in the photovoltaic support system.

[0243] In some embodiments, after simulating using a two-dimensional simulation model based on the fluid velocity to obtain the motion information of the photovoltaic support system that changes with time under the action of the fluid velocity, the method may further include:

[0244] Convert motion information into image information;

[0245] Displays image information.

[0246] In this embodiment, the user can program the motion information of the photovoltaic support system that changes with time to process and generate a display diagram (image information) of the motion information of the photovoltaic support system that changes with time with the time value as the horizontal axis and the motion information as the vertical axis.

[0247] For example, Figure 5 As shown, a centroid torsion angle displacement time history curve graph can be generated based on a self-written program in MATLAB, with time as the horizontal axis and torsion angle and torque as the left and right vertical axes, respectively, where the solid line is the torque and the dotted line is the centroid torsion angle.

[0248] According to the method for determining the fluid bearing threshold of a photovoltaic support system provided in an embodiment of the present application, by converting motion information into image information, a more intuitive display of real-time motion information can be achieved, thereby improving the efficiency of users in obtaining motion information.

[0249] like Figure 3As shown, in some embodiments, the fluid bearing threshold determination method of the above-mentioned photovoltaic support system can be executed based on the fluid bearing threshold determination system of the photovoltaic support system, which system may include multiple modules: parameter input module, pre-processing module, solution module, parameter acquisition module, flutter instability judgment module, and critical wind speed output module.

[0250] In this embodiment, the parameter input module can be used to obtain and input basic parameters of the photovoltaic support system into the solution module.

[0251] The pre-processing module can be used to establish geometric models and fluid calculation domains as well as to divide meshes.

[0252] The solution module can be used to constrain the boundaries of the fluid calculation domain using constraint functions, determine the dynamic parameters of the photovoltaic module based on basic parameters, and simulate using a two-dimensional simulation model based on the dynamic parameters and fluid velocity to obtain motion information.

[0253] The parameter acquisition module can be used to monitor the motion information of the photovoltaic support system and process the motion information based on a self-written program in MATLAB to display the motion information in real time based on an image.

[0254] The flutter instability determination module can be used to analyze the image output by the parameter acquisition module, and when the motion information reaches the flutter instability standard (preset threshold) defined by the user, flutter instability is determined.

[0255] The critical wind speed output module can be used to output the minimum wind speed when the photovoltaic support system vibrates and becomes unstable, that is, the fluid bearing threshold.

[0256] According to the method for determining the fluid bearing threshold of a photovoltaic support system provided in an embodiment of the present application, by abstracting the method for determining the fluid bearing threshold of a photovoltaic support system into multiple modules, the method for determining the fluid bearing threshold of a photovoltaic support system can be more conveniently implemented in actual engineering design.

[0257] like Figure 2 As shown, in some embodiments, the above-mentioned method for determining the fluid bearing threshold of the photovoltaic support system can be implemented based on CFD two-dimensional simulation software.

[0258] In this embodiment, the CFD two-dimensional simulation software may be ANSYS Fluent, Phoenics or ANSYS CFX, etc.

[0259] The embodiment is described below by taking the process of determining the wind load threshold (critical wind speed) of a photovoltaic support system under wind load based on CFD two-dimensional simulation software as an example.

[0260] like Figure 2As shown, based on CFD two-dimensional simulation software, the process of the method for determining the fluid bearing threshold of the above photovoltaic support system may include: step S01, step S02, step S03, step S04, step S05, step S06 and step S07.

[0261] Step S01 is to determine the basic parameters of the photovoltaic support system, including: torsion and vertical bending frequency, torsion and vertical bending damping ratio, photovoltaic module unit length moment of inertia and mass, etc.

[0262] Step S02 is to establish a CFD geometric model and a fluid calculation domain in the CFD two-dimensional simulation software based on basic parameters, and divide the grid to obtain dynamic grid points.

[0263] Step S03 is to set the CFD solver and the inlet boundary wind speed; wherein, setting the CFD solver can be understood as constraining the fluid flow mode in the fluid calculation domain based on the constraint function to simulate a fluid flow process similar to the actual scene.

[0264] Step S04 is to apply the Newmark-Beta method to the dynamic response of the photovoltaic module, that is, to determine the dynamic parameters, and then assign the basic parameters and dynamic parameters to the CFD geometric model through a user-defined function. After that, the CFD solver will use the fluid velocity as the input feature of the first vertical boundary, and use a two-dimensional simulation model for simulation to obtain the motion information (time history file) of the geometric model that changes with time under the fluid velocity, and then output it through a user-defined function.

[0265] Step S05 is to process the motion information (time history file) that changes with time through a MATLAB self-written program.

[0266] Step S06 is to determine whether the photovoltaic support system has vibrating instability based on the time history file; if vibrating instability occurs, execute step S07; if vibrating instability does not occur, jump to S02 and adjust the inlet wind speed of S03, and execute in a loop.

[0267] Step S07 is to determine the inlet wind speed at which flutter instability occurs as the critical wind speed when flutter instability occurs.

[0268] According to the method for determining the fluid bearing threshold of a photovoltaic support system provided in an embodiment of the present application, the establishment of a two-dimensional simulation model in the method for determining the fluid bearing threshold of a photovoltaic support system and the simulation process can be carried out in CFD two-dimensional simulation software, which can more conveniently implement the method for determining the fluid bearing threshold of a photovoltaic support system in actual engineering design.

[0269] The method for determining the fluid bearing threshold of a photovoltaic support system provided in the embodiment of the present application can be executed by a fluid bearing threshold determining device for the photovoltaic support system. In the embodiment of the present application, the method for determining the fluid bearing threshold of a photovoltaic support system is executed by a fluid bearing threshold determining device for the photovoltaic support system as an example to illustrate the fluid bearing threshold determining device for the photovoltaic support system provided in the embodiment of the present application.

[0270] An embodiment of the present application also provides a device for determining a fluid bearing threshold value of a photovoltaic support system.

[0271] like Figure 6 As shown, the fluid bearing threshold determination device of the photovoltaic support system includes: a first processing module 610 , a second processing module 620 and a third processing module 630 .

[0272] The first processing module 610 is used to construct a two-dimensional simulation model corresponding to the photovoltaic support system based on basic parameters of the photovoltaic support system, and the two-dimensional simulation model is used to simulate the movement of the photovoltaic support system under the action of fluid and the change over time;

[0273] The second processing module 620 is used to perform simulation based on the fluid velocity using a two-dimensional simulation model to obtain the motion information of the photovoltaic support system that changes with time under the action of the fluid velocity;

[0274] The third processing module 630 is used to determine the fluid bearing threshold corresponding to the photovoltaic support system based on the motion information corresponding to different fluid speeds.

[0275] According to the fluid bearing threshold determination device of the photovoltaic support system provided in the embodiment of the present application, based on the basic parameters of the photovoltaic support system, a two-dimensional simulation model corresponding to the photovoltaic support system is constructed, and then based on the fluid velocity, the two-dimensional simulation model is used for simulation to obtain the motion information of the photovoltaic support system that changes with time under the action of the fluid velocity, and then based on the motion information corresponding to different fluid velocities, that is, the centroid displacement in each direction, the fluid bearing threshold corresponding to the photovoltaic support system is determined. This can simplify the actual scenario of the photovoltaic support system under the action of wind force into a dynamic simulation scenario of the fluid acting on the photovoltaic support in a virtual physical scenario. The critical wind speed at which flutter occurs in the photovoltaic support system can be effectively determined without converting the dynamic problem into a static problem, and there is no need to conduct aeroelastic wind tunnel tests. On the basis of improving the accuracy of the critical wind speed of the photovoltaic support system obtained, thereby improving the rationality and stability of the photovoltaic support layout, the design cost is saved, and it has good convenience and design efficiency.

[0276] In some embodiments, the first processing module 610 may also be used to:

[0277] Based on the basic parameters, the geometric model corresponding to the photovoltaic support system is constructed;

[0278] Based on the geometric model, determine the fluid calculation domain;

[0279] A two-dimensional simulation model is constructed based on the geometric model and fluid calculation domain.

[0280] In some embodiments, the first processing module 610 may also be used to:

[0281] Determine the first vertical boundary and the second vertical boundary of the fluid calculation domain; place the geometric model in the fluid calculation domain, when the fluid at the first vertical boundary and perpendicular to the first vertical boundary reaches the photovoltaic module in the geometric model, the reflow rate is less than the first threshold value, and the distance between the second vertical boundary and the first vertical boundary is not less than the fully developed length corresponding to the fluid;

[0282] Determine a first lateral boundary of the fluid computational domain based on the plane on which the geometric model is placed;

[0283] Determining a second lateral boundary of the fluid calculation domain based on the first vertical boundary, the basic parameters and the preset blockage rate;

[0284] A fluid calculation domain is determined based on the first vertical boundary, the second vertical boundary, the first lateral boundary, and the second lateral boundary.

[0285] In some embodiments, the first processing module 610 may also be used to:

[0286] The geometric model is placed in the fluid calculation domain, and the fluid calculation domain is meshed to obtain multiple dynamic grid points; each dynamic grid point is used to simulate the fluid velocity and fluid pressure at the corresponding position of the dynamic grid point at different time values;

[0287] Constraint functions are used to constrain the boundaries of the fluid calculation domain and build a two-dimensional simulation model.

[0288] In some embodiments, the second processing module 620 may also be used to:

[0289] Based on the basic parameters, the dynamic parameters of the photovoltaic module at the starting time value are determined;

[0290] Based on the kinetic parameters and fluid velocity at each time value, a two-dimensional simulation model is used to perform simulation to obtain motion information; wherein the kinetic parameters at the next time value are calculated based on the kinetic parameters at the previous time value and a preset functional relationship.

[0291] In some embodiments, the third processing module 630 may also be used to:

[0292] When it is determined based on the motion information that the photovoltaic support system does not suffer from flutter instability, the fluid velocity is increased, and a two-dimensional simulation model is used for simulation based on the increased fluid velocity;

[0293] When it is determined based on the motion information that the photovoltaic support system has vibrated and become unstable, the minimum fluid velocity that causes the photovoltaic support system to vibrate and become unstable is determined as the fluid bearing threshold corresponding to the photovoltaic support system.

[0294] In some embodiments, the third processing module 630 may also be used to:

[0295] The motion information includes at least one of a torsion angle and a centroid vertical displacement corresponding to the photovoltaic support system. When at least one of the torsion angle and the centroid vertical displacement exceeds a preset threshold, it is determined that the photovoltaic support system is vibrating and unstable.

[0296] In some embodiments, the apparatus may further include a fourth processing module, configured to:

[0297] Convert motion information into image information;

[0298] Displays image information.

[0299] The fluid bearing threshold determination device of the photovoltaic support system in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an IOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0300] The fluid bearing threshold determination device of the photovoltaic support system provided in the embodiment of the present application can achieve Figures 1 to 5 To avoid repetition, the various processes implemented by the method embodiment are not described here.

[0301] The embodiment of the present application also provides a photovoltaic support system.

[0302] In this embodiment, the photovoltaic support system includes: a photovoltaic support and a photovoltaic assembly.

[0303] Among them, photovoltaic brackets can include distributed brackets, fixed brackets and tracking brackets, etc.

[0304] In some embodiments, the photovoltaic support may further include a flexible support.

[0305] Photovoltaic modules are installed on photovoltaic brackets.

[0306] Photovoltaic modules include photovoltaic panels.

[0307] The photovoltaic support system predicts the fluid bearing threshold value based on the method for determining the fluid bearing threshold value of the photovoltaic support system as described in any of the above embodiments.

[0308] like Figure 7As shown, an embodiment of the present application also provides an electronic device 700, including a processor 701, a memory 702, and a computer program stored in the memory 702 and executable on the processor 701. When the program is executed by the processor 701, each process of the embodiment of the method for determining the fluid bearing threshold of the photovoltaic support system described above is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0309] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0310] An embodiment of the present application also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the various processes of the above-mentioned photovoltaic support system fluid bearing threshold determination method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0311] The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk.

[0312] An embodiment of the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the method for determining the fluid bearing threshold of the photovoltaic support system.

[0313] The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk.

[0314] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned embodiment of the method for determining the fluid bearing threshold of the photovoltaic support system, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0315] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0316] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0317] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the relevant technology, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0318] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

[0319] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0320] Although the embodiments of the present application have been shown and described, those skilled in the art will appreciate that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present application, and that the scope of the present application is defined by the claims and their equivalents.

Claims

1. A method for determining a fluid bearing threshold of a photovoltaic support system, characterized in that: The photovoltaic support system includes a photovoltaic support and a photovoltaic assembly installed on the photovoltaic support, and the method includes: S110, based on the basic parameters of the photovoltaic support system, constructing a two-dimensional simulation model corresponding to the photovoltaic support system, wherein the two-dimensional simulation model is used to simulate the movement of the photovoltaic support system changing with time under the action of a fluid; S120, based on the fluid velocity, using the two-dimensional simulation model to perform simulation to obtain the motion information of the photovoltaic support system that changes with time under the action of the fluid velocity; S130. Determine a fluid bearing threshold corresponding to the photovoltaic support system based on motion information corresponding to different fluid velocities.

2. The method for determining the fluid bearing threshold of a photovoltaic support system according to claim 1, characterized in that: The S110 includes: S111. Based on the basic parameters, construct a geometric model corresponding to the photovoltaic support system, wherein the degree of freedom of the geometric model includes at least one of rotational motion based on a rotation center and translational motion along a vertical direction; S112, determining a fluid calculation domain based on the geometric model; S113. Constructing the two-dimensional simulation model based on the geometric model and the fluid calculation domain.

3. The method for determining the fluid bearing threshold of a photovoltaic support system according to claim 2, characterized in that: The S112 includes: Determine a first vertical boundary and a second vertical boundary of the fluid calculation domain; place the geometric model in the fluid calculation domain, when the fluid at the first vertical boundary and perpendicular to the first vertical boundary reaches the photovoltaic component in the geometric model, the reflow rate is less than a first threshold, and the distance between the second vertical boundary and the first vertical boundary is not less than the fully developed length corresponding to the fluid; Determining a first lateral boundary of the fluid calculation domain based on the plane where the geometric model is placed; Determining a second lateral boundary of the fluid calculation domain based on the first vertical boundary, the basic parameters and a preset blockage rate; The fluid calculation domain is determined based on the first vertical boundary, the second vertical boundary, the first lateral boundary, and the second lateral boundary.

4. The method for determining the fluid bearing threshold of a photovoltaic support system according to claim 2, characterized in that: The S113 includes: Placing the geometric model in the fluid calculation domain, and meshing the fluid calculation domain to obtain a plurality of dynamic grid points, wherein each of the dynamic grid points is used to simulate the fluid velocity and fluid pressure at a corresponding position of the dynamic grid point at different time values; The two-dimensional simulation model is constructed by using constraint functions to constrain the boundaries of the fluid calculation domain.

5. The method for determining the fluid bearing threshold of a photovoltaic support system according to any one of claims 1 to 4, characterized in that: The S120 includes: Based on the basic parameters, determining the kinetic parameters of the photovoltaic module at the starting time value; Based on the kinetic parameters at each time value and the fluid velocity, the two-dimensional simulation model is used to perform simulation to obtain the motion information; wherein the kinetic parameters at the next time value are calculated based on the kinetic parameters at the previous time value and a preset functional relationship.

6. The method for determining the fluid bearing threshold of a photovoltaic support system according to any one of claims 1 to 4, characterized in that: The S130 includes: If it is determined based on the motion information that the photovoltaic support system does not suffer from flutter instability, increasing the fluid velocity, and based on the increased fluid velocity, using the two-dimensional simulation model to perform simulation; If it is determined based on the motion information that the photovoltaic support system has vibrated and become unstable, the minimum fluid velocity that causes the photovoltaic support system to vibrate and become unstable is determined as the fluid bearing threshold corresponding to the photovoltaic support system.

7. The method for determining the fluid bearing threshold of a photovoltaic support system according to claim 6, characterized in that: The motion information includes at least one of a torsion angle and a centroid vertical displacement corresponding to the photovoltaic support system, and determining that the photovoltaic support system has vibrated and become unstable based on the motion information includes: When at least one of the torsion angle and the centroid vertical displacement exceeds a preset threshold, it is determined that flutter instability occurs in the photovoltaic support system.

8. The method for determining the fluid bearing threshold of a photovoltaic support system according to any one of claims 1 to 4, characterized in that: The basic parameters include: at least one of the torsional vibration frequency, vertical bending vibration frequency, torsional damping ratio, vertical bending damping ratio, mass of the photovoltaic module, moment of inertia per unit length, module panel size, installation inclination angle and height from the ground of the photovoltaic support system.

9. The method for determining the fluid bearing threshold of a photovoltaic support system according to claim 8, characterized in that: The torsional vibration frequency and the vertical bending vibration frequency are determined by: Constructing a three-dimensional finite element model corresponding to the photovoltaic support system; Modal analysis is performed on the three-dimensional finite element model to obtain the torsional vibration frequency and the vertical bending vibration frequency.

10. The method for determining the fluid bearing threshold of a photovoltaic support system according to any one of claims 1 to 4, characterized in that: After S120, the method further includes: converting the motion information into image information; The image information is displayed.

11. A device for determining a fluid bearing threshold value of a photovoltaic support system, characterized in that: The photovoltaic support system includes a photovoltaic support and a photovoltaic assembly installed on the photovoltaic support, including: A first processing module is used to construct a two-dimensional simulation model corresponding to the photovoltaic support system based on basic parameters of the photovoltaic support system, and the two-dimensional simulation model is used to simulate the movement of the photovoltaic support system under the action of fluid and the change over time; A second processing module is used to perform simulation based on the fluid velocity using the two-dimensional simulation model to obtain the motion information of the photovoltaic support system that changes with time under the action of the fluid velocity; The third processing module is used to determine the fluid bearing threshold corresponding to the photovoltaic support system based on the motion information corresponding to different fluid speeds.

12. A photovoltaic support system, characterized in that: include: Photovoltaic bracket; Photovoltaic assembly; the photovoltaic assembly is installed on the photovoltaic bracket; The photovoltaic support system predicts the fluid tolerance threshold based on the method for determining the fluid tolerance threshold of the photovoltaic support system according to any one of claims 1 to 10.

13. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method for determining the fluid bearing threshold of the photovoltaic support system according to any one of claims 1 to 10 is implemented.

14. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining the fluid bearing threshold of a photovoltaic support system according to any one of claims 1 to 10 is implemented.

15. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for determining a fluid bearing threshold value of a photovoltaic support system according to any one of claims 1 to 10 is implemented.

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