Optimization method and device for fixed photovoltaic support structure

Abstract

The invention relates to the technical field of photovoltaic support structure optimization, and discloses a fixed photovoltaic support structure optimization method and device, and the method comprises the steps: obtaining the structure parameters of a target photovoltaic support, and constructing a fixed photovoltaic support model based on the structure parameters of the target photovoltaic support; environment load parameters are obtained, the stress load of the photovoltaic support structure is determined based on the environment load parameters, and the stress load of the photovoltaic support structure is applied to the fixed photovoltaic support model; performing strength checking and deflection checking on the fixed photovoltaic support model after the photovoltaic support structure stress load is applied to obtain the component deflection and the component strength of the photovoltaic support structure; and performing multi-objective optimization on the photovoltaic support component based on the component deflection and the component strength to obtain an optimal structure of the fixed photovoltaic support. According to the invention, the design efficiency of the photovoltaic support structure is improved, and the safe operation of the photovoltaic module in the photovoltaic power generation system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic support structure optimization, and in particular to an optimization method and device for a fixed photovoltaic support structure. Background Art

[0002] With the rapid development of photovoltaic projects, their number and scale have reached historical highs. The photovoltaic support structure design, as a vital component in the photovoltaic power generation system, is directly related to the installation, maintenance of photovoltaic modules and the performance and safety of the entire system.

[0003] However, the design efficiency of related photovoltaic support structures is low and cannot guarantee the safe operation of photovoltaic modules in photovoltaic power generation systems. Summary of the invention

[0004] In view of this, the present invention provides a method and device for optimizing a fixed photovoltaic support structure to solve the problem that the design efficiency of the related photovoltaic support structure is low and the safe operation of photovoltaic components in the photovoltaic power generation system cannot be guaranteed.

[0005] In a first aspect, the present invention provides a method for optimizing a fixed photovoltaic support structure, the method comprising:

[0006] Acquire the structural parameters of the target photovoltaic bracket, and build a fixed photovoltaic bracket model based on the structural parameters of the target photovoltaic bracket;

[0007] Acquire environmental load parameters, determine the force load of the photovoltaic support structure based on the environmental load parameters, and apply the force load of the photovoltaic support structure to the fixed photovoltaic support model;

[0008] Perform strength and deflection checks on the fixed photovoltaic support model after applying the photovoltaic support structure load, and obtain the component deflection and component strength of the photovoltaic support structure;

[0009] Based on the component deflection and component strength, multi-objective optimization of photovoltaic support components is carried out to obtain the optimal structure of fixed photovoltaic support.

[0010] The present embodiment provides an optimization method for a fixed photovoltaic support structure. A fixed photovoltaic support model is constructed according to the structural parameters of a target photovoltaic support, and the force load of the photovoltaic support structure is applied to the fixed photovoltaic support model. Then, the fixed photovoltaic support model after the force load of the photovoltaic support structure is applied is subjected to strength verification and deflection verification as well as multi-objective optimization to obtain the optimal structure of the fixed photovoltaic support. The optimal engineering quantity under the preset target conditions is achieved through multi-objective optimization, and the rapid design of the photovoltaic support structure is assisted by the optimal structure of the fixed photovoltaic support, thereby improving the design efficiency of the photovoltaic support structure and ensuring the safe operation of photovoltaic modules in the photovoltaic power generation system.

[0011] In an optional implementation, a fixed photovoltaic support model is constructed based on the structural parameters of the target photovoltaic support, including:

[0012] A photovoltaic support component model is established based on the structural parameters of the target photovoltaic support;

[0013] Obtaining the positioning parameters of a single bracket of the bracket, and performing plane splicing of the photovoltaic bracket component model based on the positioning parameters of the single bracket of the bracket;

[0014] The bracket spacing, bracket margin and number of brackets are obtained, and based on the bracket spacing, bracket margin and number of brackets, the photovoltaic bracket component model after plane splicing is three-dimensionally spliced ​​to obtain a fixed photovoltaic bracket model.

[0015] The present embodiment provides an optimization method for a fixed photovoltaic bracket structure, which performs planar splicing of the photovoltaic bracket component model through the positioning parameters of a single bracket, thereby realizing the initial splicing of the photovoltaic bracket components within the plane of one bracket, and then performs three-dimensional splicing of the photovoltaic bracket component model after planar splicing through the bracket spacing, bracket margin and number of brackets, thereby realizing the construction of a fixed photovoltaic bracket model in a three-dimensional plane and realizing rapid parametric modeling of a fixed photovoltaic bracket.

[0016] In an optional implementation, determining the load on the photovoltaic support structure based on the environmental load parameter, and applying the load on the photovoltaic support structure to the fixed photovoltaic support model includes:

[0017] Determine the loads on photovoltaic support components under different working conditions based on environmental load parameters;

[0018] Combine the loads on photovoltaic support components under different working conditions to obtain the loads on the photovoltaic support structure;

[0019] Apply the force load of the photovoltaic support structure to the fixed photovoltaic support model.

[0020] The present embodiment provides an optimization method for a fixed photovoltaic support structure. By combining the stress loads of the photovoltaic support components under different working conditions, the stress loads of the photovoltaic support structure are applied to the fixed photovoltaic support model, thereby achieving rapid application of the stress loads of the photovoltaic support structure and laying a foundation for the subsequent verification of component strength and component deflection.

[0021] In an optional implementation, a strength check and a deflection check are performed on a fixed photovoltaic support model after a force load is applied to the photovoltaic support structure to obtain a component deflection and a component strength of the photovoltaic support structure, including:

[0022] Obtaining effective cross-sectional characteristics of photovoltaic support components, and based on the effective cross-sectional characteristics of photovoltaic support components, performing component strength verification on a fixed photovoltaic support model after applying a force load to the photovoltaic support structure to obtain component strength;

[0023] The component deformation data is determined based on the fixed photovoltaic support model after the photovoltaic support structure is subjected to a force load, and the component deflection is calculated based on the component deformation data.

[0024] The present embodiment provides an optimization method for a fixed photovoltaic support structure. By checking and calculating the strength of the components, it is ensured that the components will not break or deform excessively when subjected to the load of the photovoltaic support structure. The deflection of the components is checked and calculated to ensure that the components will not produce excessive displacement when subjected to force, thereby ensuring the stability and safety of the photovoltaic support structure. By checking the strength and deflection of the components, potential structural problems can be discovered and resolved in a timely manner, avoiding structural failure caused by unreasonable material or structural design, and ensuring that the fixed photovoltaic support structure can work normally during use.

[0025] In an optional implementation, based on the effective cross-sectional characteristics of the photovoltaic support component, the fixed photovoltaic support model after the photovoltaic support structure is subjected to a force load is checked to obtain the component strength, including:

[0026] Determine the bending moment of the main axis of the component section based on the force load of the photovoltaic support structure;

[0027] Determine the effective cross-sectional area and the effective section modulus of the main axis of the component cross section based on the effective cross-sectional characteristics of the photovoltaic support component;

[0028] The member strength is calculated based on the effective cross-sectional area, the bending moments about the principal axes of the member section, and the effective section modulus about the principal axes of the member section.

[0029] The present embodiment provides an optimization method for a fixed photovoltaic support structure, which calculates the bending moment of the main axis of the component cross section, and then calculates the component strength based on the effective cross-sectional area, the bending moment of the main axis of the component cross section and the effective section modulus of the main axis of the component cross section. This realizes the verification of the ability of the fixed photovoltaic support model to resist permanent deformation and fracture after the photovoltaic support structure is subjected to force loads, thereby ensuring the stability and safety of the photovoltaic support structure.

[0030] In an optional implementation, based on the component deflection and component strength, a multi-objective optimization is performed on the photovoltaic support components to obtain the optimal structure of the fixed photovoltaic support, including:

[0031] Determine the component stress ratio and component slenderness ratio based on the fixed photovoltaic bracket model after applying the photovoltaic bracket structure load;

[0032] Acquire support component control information, and compare component stress ratio, component slenderness ratio, component deflection and component strength with the support component control information;

[0033] If the component stress ratio, component slenderness ratio, component deflection and component strength are inconsistent with the support component control information, the photovoltaic support components are iteratively optimized with the goal of optimizing the engineering quantity of the fixed photovoltaic support to obtain the optimal structure of the fixed photovoltaic support.

[0034] The present embodiment provides an optimization method for a fixed photovoltaic support structure, which compares component stress ratio, component slenderness ratio, component deflection and component strength with support component control information, and then iteratively optimizes the photovoltaic support components based on the comparison results with the goal of optimizing the engineering quantity of the fixed photovoltaic support, thereby obtaining the optimal structure of the fixed photovoltaic support. The optimal engineering quantity under the control information of the support components is achieved through multi-objective optimization, and the rapid design of the photovoltaic support structure is assisted by the optimal structure of the fixed photovoltaic support, thereby improving the design efficiency of the photovoltaic support structure.

[0035] In a second aspect, the present invention provides an optimization device for a fixed photovoltaic support structure, the device comprising:

[0036] A construction module is used to obtain the structural parameters of the target photovoltaic support and to construct a fixed photovoltaic support model based on the structural parameters of the target photovoltaic support;

[0037] An application module is used to obtain environmental load parameters, determine the load of the photovoltaic support structure based on the environmental load parameters, and apply the load of the photovoltaic support structure to the fixed photovoltaic support model;

[0038] A verification module is used to perform strength verification and deflection verification on the fixed photovoltaic support model after the photovoltaic support structure is subjected to a force load, so as to obtain the component deflection and component strength of the photovoltaic support structure;

[0039] The optimization module is used to perform multi-objective optimization of photovoltaic support components based on component deflection and component strength to obtain the optimal structure of the fixed photovoltaic support.

[0040] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor are communicatively connected to each other, computer instructions are stored in the memory, and the processor executes the method for optimizing the fixed photovoltaic support structure of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0041] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the method for optimizing a fixed photovoltaic support structure of the first aspect or any corresponding embodiment thereof.

[0042] In a fifth aspect, the present invention provides a computer program product, including computer instructions, which are used to enable a computer to execute the method for optimizing a fixed photovoltaic support structure of the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 is a schematic flow chart of a method for optimizing a fixed photovoltaic support structure according to an embodiment of the present invention;

[0045] Figure 2 is a schematic flow chart of another method for optimizing a fixed photovoltaic support structure according to an embodiment of the present invention;

[0046] Figure 3 is a structural schematic diagram of a fixed photovoltaic support model according to an embodiment of the present invention;

[0047] Figure 4 is a schematic flow chart of another method for optimizing a fixed photovoltaic support structure according to an embodiment of the present invention;

[0048] Figure 5 is a schematic flow chart of another method for optimizing a fixed photovoltaic support structure according to an embodiment of the present invention;

[0049] Figure 6 It is a schematic diagram of a flow chart of a method for rapid three-dimensional design and calculation of a fixed photovoltaic support structure according to an embodiment of the present invention;

[0050] Figure 7 is a structural block diagram of an optimization device for a fixed photovoltaic support structure according to an embodiment of the present invention;

[0051] Figure 8 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0053] In the design process of photovoltaic brackets, the steps of photovoltaic bracket model construction and load application are relatively cumbersome, the cold-bent thin-walled steel verification method in the relevant finite element software is imperfect, there is a lack of deformation verification of the continuous simply supported beam method of purlins, and the cross-section of the photovoltaic bracket cannot be automatically selected and optimized.

[0054] Therefore, it is necessary to conduct research on the rapid three-dimensional design and calculation methods of fixed photovoltaic support structures. Subsequent photovoltaic projects can be quickly designed based on the research results of the project, which will effectively improve the design efficiency of photovoltaic support structures and effectively reduce the amount of structural steel.

[0055] In order to solve the above technical problems, an embodiment of the present invention provides an optimization method for a fixed photovoltaic bracket structure, by providing a fast parametric modeling of a fixed photovoltaic bracket, a fast application of force loads on the photovoltaic bracket structure, a cold-bent thin-walled steel calibration method for the photovoltaic bracket structure and a continuous simply supported beam calibration method for the purlins, as well as photovoltaic bracket structure optimization based on a multi-objective optimization method, thereby effectively improving the design efficiency of the photovoltaic bracket structure and reducing the amount of structural steel used.

[0056] The embodiment of the present invention provides an optimization method for a fixed photovoltaic support structure. It should be noted that the optimization method for a fixed photovoltaic support structure provided by the embodiment of the present invention may be performed by an optimization device for a fixed photovoltaic support structure. The optimization device for a fixed photovoltaic support structure may be implemented as part or all of an electronic device through software, hardware, or a combination of software and hardware. The electronic device may be a server or a terminal. The server in the embodiment of the present application may be a single server or a server cluster composed of multiple servers. The terminal in the embodiment of the present application may be a smart phone, a personal computer, a tablet computer, a wearable device, an intelligent robot, or other intelligent hardware devices. In the following method embodiments, the execution subject is an electronic device as an example for explanation.

[0057] According to an embodiment of the present invention, an embodiment of an optimization method for a fixed photovoltaic support structure is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0058] In this embodiment, a method for optimizing a fixed photovoltaic support structure is provided, which can be used for the above-mentioned electronic equipment. Figure 1 is a flow chart of an optimization method for a fixed photovoltaic support structure according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0059] Step S101, obtaining structural parameters of a target photovoltaic support, and constructing a fixed photovoltaic support model based on the structural parameters of the target photovoltaic support.

[0060] Step S102, obtaining environmental load parameters, determining the load on the photovoltaic support structure based on the environmental load parameters, and applying the load on the photovoltaic support structure to the fixed photovoltaic support model.

[0061] Specifically, the environmental load parameters include basic wind pressure, basic snow pressure, wind vibration coefficient, wind load shape coefficient, terrain correction coefficient, wind pressure height coefficient, earthquake characteristic period, site seismic peak acceleration and other parameters.

[0062] Step S103, performing strength check and deflection check on the fixed photovoltaic support model after applying the force load to the photovoltaic support structure, and obtaining the component deflection and component strength of the photovoltaic support structure.

[0063] Specifically, the strength and deflection of the steel structure of the fixed photovoltaic support model after the photovoltaic support structure is subjected to a force load are checked and calculated, and then the strength and deflection of the purlin are checked and calculated based on the continuous simply supported beam method.

[0064] Step S104, based on the component deflection and component strength, multi-objective optimization is performed on the photovoltaic support components to obtain the optimal structure of the fixed photovoltaic support.

[0065] Specifically, a multi-objective optimization method is adopted, based on the control conditions of stress ratio, slenderness ratio, component deflection and component strength, and the cross-sectional size and length of each component are taken as basic parameters. Based on the fixed photovoltaic bracket model after the photovoltaic bracket structure is subjected to force load, the target bracket engineering volume or pile foundation engineering volume is optimized.

[0066] Furthermore, based on the secondary development function of SAP2000 (Structure Analysis Program 2000, a structural analysis and design method), the parametric modeling of photovoltaic brackets, rapid application of bracket loads, component verification based on cold-bent thin-walled steel sections, purlin verification based on continuous simple beams, and bracket optimization based on multi-objective optimization methods are packaged as executable programs, and a graphical interface is formed to facilitate user operation; when designing the structure, first select the form of the bracket, enter the relevant structural parameters of the bracket, and then call the relevant functions to complete the rapid parametric modeling of the photovoltaic bracket, and enter the load parameters to achieve rapid application of the bracket load; if the structural design in the fixed photovoltaic bracket needs to be adjusted, adjust the parameters in the corresponding module, and call the function of the module again, and the optimal structure of the fixed photovoltaic bracket will be automatically updated.

[0067] The present embodiment provides an optimization method for a fixed photovoltaic support structure. A fixed photovoltaic support model is constructed according to the structural parameters of a target photovoltaic support, and the force load of the photovoltaic support structure is applied to the fixed photovoltaic support model. Then, the fixed photovoltaic support model after the force load of the photovoltaic support structure is applied is subjected to strength verification and deflection verification as well as multi-objective optimization to obtain the optimal structure of the fixed photovoltaic support. The optimal engineering quantity under the preset target conditions is achieved through multi-objective optimization, and the rapid design of the photovoltaic support structure is assisted by the optimal structure of the fixed photovoltaic support, thereby improving the design efficiency of the photovoltaic support structure and ensuring the safe operation of photovoltaic modules in the photovoltaic power generation system.

[0068] In this embodiment, a method for optimizing a fixed photovoltaic support structure is provided, which can be used for the above-mentioned electronic equipment. Figure 2 is a flow chart of an optimization method for a fixed photovoltaic support structure according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0069] Step S201, obtaining structural parameters of a target photovoltaic support, and constructing a fixed photovoltaic support model based on the structural parameters of the target photovoltaic support.

[0070] Specifically, the above step S201 includes:

[0071] Step S2011: establishing a photovoltaic support component model based on the structural parameters of the target photovoltaic support.

[0072] Specifically, the structural parameters of the target photovoltaic support include data such as the length, width, and position of components such as purlins, diagonal beams, diagonal braces, and columns.

[0073] Step S2012, obtaining the positioning parameters of a single bracket, and plane-joining the photovoltaic bracket component model based on the positioning parameters of the single bracket.

[0074] Specifically, the positioning parameters of a single bracket include: inclination angle, height from the ground, column spacing, purlin spacing, purlin end distance, diagonal brace spacing, hoop height and other parameters.

[0075] Furthermore, according to the above-mentioned positioning parameters of a single frame of the bracket, the components in the photovoltaic bracket component model are spliced ​​within the plane of the single frame.

[0076] Step S2013, obtaining the bracket spacing, bracket margin and number of brackets, and based on the bracket spacing, bracket margin and number of brackets, three-dimensionally splicing the photovoltaic bracket component model after plane splicing to obtain a fixed photovoltaic bracket model.

[0077] Specifically, Figure 3 As shown, combined with the bracket spacing, bracket margin and number of brackets, the photovoltaic bracket component model after plane splicing according to the photovoltaic bracket form is spliced ​​in a three-dimensional plane to obtain a fixed photovoltaic bracket model; wherein, the photovoltaic bracket form includes double-pile double-column bracket, single-pile single-column bracket, single-pile double-column bracket and other forms.

[0078] Step S202, obtaining environmental load parameters, determining the load on the photovoltaic support structure based on the environmental load parameters, and applying the load on the photovoltaic support structure to the fixed photovoltaic support model.

[0079] Specifically, the above step S202 includes:

[0080] Step S2021, determining the force load of the photovoltaic support components under different working conditions based on the environmental load parameters.

[0081] Specifically, assuming that the photovoltaic support component is a purlin, the load on the purlin under different working conditions (i.e., the force load on the photovoltaic support component) is calculated according to the environmental load parameters; among them, different working conditions include basic combination conditions, standard combination conditions, earthquake conditions, construction conditions, etc.

[0082] Step S2022, combining the loads on the photovoltaic support components under different working conditions to obtain the loads on the photovoltaic support structure.

[0083] Specifically, the stress loads of the photovoltaic support components corresponding to the same working conditions are combined to obtain the stress loads of the photovoltaic support structure.

[0084] Step S2023, applying the force load of the photovoltaic support structure to the fixed photovoltaic support model.

[0085] Step S203, perform strength check and deflection check on the fixed photovoltaic support model after applying the photovoltaic support structure load, and obtain the component deflection and component strength of the photovoltaic support structure. Figure 1 Step S103 of the illustrated embodiment will not be described in detail here.

[0086] Step S204: Based on the component deflection and component strength, multi-objective optimization is performed on the photovoltaic support components to obtain the optimal structure of the fixed photovoltaic support. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0087] The present embodiment provides an optimization method for a fixed photovoltaic support structure, which performs planar splicing of photovoltaic support component models through positioning parameters of a single frame of the support, thereby realizing the initial splicing of photovoltaic support components within the plane of one frame, and then performs three-dimensional splicing of the photovoltaic support component model after planar splicing through the support spacing, support margins and number of frames, thereby realizing the construction of a fixed photovoltaic support model within a three-dimensional plane, and realizing rapid parametric modeling of a fixed photovoltaic support; and, by combining the stress loads of photovoltaic support components under different working conditions, and then applying the stress loads of the photovoltaic support structure to the fixed photovoltaic support model, rapid application of the stress loads of the photovoltaic support structure is realized, laying a foundation for the subsequent verification of component strength and component deflection.

[0088] In this embodiment, a method for optimizing a fixed photovoltaic support structure is provided, which can be used for the above-mentioned electronic equipment. Figure 4 is a flow chart of an optimization method for a fixed photovoltaic support structure according to an embodiment of the present invention. Figure 4 As shown, the process includes the following steps:

[0089] Step S401, obtain the structural parameters of the target photovoltaic support, and build a fixed photovoltaic support model based on the structural parameters of the target photovoltaic support. Figure 2 Step S201 of the illustrated embodiment will not be described in detail here.

[0090] Step S402, obtain environmental load parameters, determine the load on the photovoltaic support structure based on the environmental load parameters, and apply the load on the photovoltaic support structure to the fixed photovoltaic support model. Figure 2 Step S202 of the illustrated embodiment will not be described in detail here.

[0091] Step S403, performing strength check and deflection check on the fixed photovoltaic support model after applying the force load on the photovoltaic support structure, and obtaining the component deflection and component strength of the photovoltaic support structure.

[0092] Specifically, the above step S403 includes:

[0093] Step S4031, obtaining effective cross-sectional characteristics of the photovoltaic support components, and based on the effective cross-sectional characteristics of the photovoltaic support components, performing component strength verification on the fixed photovoltaic support model after applying a force load to the photovoltaic support structure to obtain component strength.

[0094] Specifically, the effective cross-sectional characteristics of the photovoltaic support component are calculated by the net cross-sectional coefficient of the photovoltaic support component. The effective cross-sectional characteristics of the photovoltaic support component include data such as effective cross-sectional area, effective moment of inertia, and effective bending cross-sectional coefficient.

[0095] In some optional implementations, the above step S4031 includes:

[0096] Step a1, determining the bending moment of the main axis of the component cross section based on the force load of the photovoltaic support structure.

[0097] Step a2, determining the effective cross-sectional area and the effective section modulus of the main axis of the component cross section based on the effective cross-sectional characteristics of the photovoltaic support component.

[0098] Step a3, calculating the member strength based on the effective cross-sectional area, the bending moment of the member cross-sectional principal axis and the effective section modulus of the member cross-sectional principal axis.

[0099] Specifically, the components include compression bending components and tension bending components; wherein the calculation formula for the strength of the compression bending components is as follows:

[0100]

[0101] In the above formula, σ y is the normal stress of the compression-bending member (i.e. the strength of the compression-bending member), N is the axial force, A en is the effective cross-sectional area of ​​the compression-bending member, M x and M y is the bending moment of the cross-section principal axis x and y of the compression-bending member, W enx and W eny is the effective section modulus of the main axis x and y of the compression-bending member, and f is the design value of the tensile, compressive and bending strength of the steel.

[0102] Furthermore, for a compression-bending member with a biaxially symmetrical cross-section, when the bending moment acts in the symmetry plane, the stability in the plane of the bending moment is calculated according to the following calculation formula:

[0103]

[0104] In the above formula, M is the bending moment of the compression-bending member, and the maximum bending moment within the entire length of the compression-bending member is taken, β m is the equivalent bending moment coefficient, N′ E is the elastic modulus of steel, is the stability factor of the compression-bending member, W e is the effective section modulus of the maximum compressive edge.

[0105] Furthermore, when the bending moment acts in the maximum stiffness plane, the stability outside the bending moment action plane is calculated according to the following calculation formula:

[0106]

[0107] In the above formula, η is the section coefficient, closed section η = 0.7, other sections η = 1.0, is the stability factor of the axially compressed member about the y-axis, It is the overall stability factor of the flexural member when the bending moment acts in the plane of maximum stiffness.

[0108] Furthermore, the calculation formula for the strength of the tension-bending member is as follows:

[0109]

[0110] In the above formula, σ l is the normal stress of the tension-bending member (i.e. the strength of the tension-bending member), A n is the effective cross-sectional area of ​​the tension-bending member, M x and M y is the bending moment of the main x and y axes of the cross section of the tension-bending member, W enx and W eny It is the effective section modulus of the main axes x and y of the section of the tension-bending member.

[0111] Step S4032, determining component deformation data based on the fixed photovoltaic support model after applying the photovoltaic support structure load, and calculating the component deflection based on the component deformation data.

[0112] Specifically, the strength and deflection of the purlin are checked and calculated based on the continuous simply supported beam method. The specific steps include: using a continuous simply supported beam model (i.e., a fixed photovoltaic bracket model) under uniformly distributed load, and obtaining the purlin bending moment by a static calculation method. The calculation formula for the maximum purlin bending moment is:

[0113]

[0114] In the above formula, M is the maximum bending moment of the purlin, q is the load on the purlin (i.e. the load on the photovoltaic support structure), and L is the span moment of the purlin.

[0115] According to the bending moment and effective section characteristics of the simply supported beam, the maximum deflection of the purlin at mid-span is calculated using the following formula:

[0116]

[0117] In the above formula, Y max is the maximum deflection of the purlin at the mid-span, I is the effective moment of inertia, and E is the elastic modulus of the purlin.

[0118] Furthermore, the purlin strength and deflection are checked based on the maximum bending moment of the purlin and the maximum deflection of the purlin at the mid-span, and the purlin deflection, that is, the component deflection, is obtained.

[0119] Step S404: Based on the component deflection and component strength, multi-objective optimization is performed on the photovoltaic support components to obtain the optimal structure of the fixed photovoltaic support. Figure 2 Step S204 of the illustrated embodiment will not be described in detail here.

[0120] The present embodiment provides an optimization method for a fixed photovoltaic support structure. By checking and calculating the strength of the components, it is ensured that the components will not break or deform excessively when subjected to the load of the photovoltaic support structure. The deflection of the components is checked and calculated to ensure that the components will not produce excessive displacement when subjected to force, thereby ensuring the stability and safety of the photovoltaic support structure. By checking the strength and deflection of the components, potential structural problems can be discovered and resolved in a timely manner, avoiding structural failure caused by unreasonable material or structural design, and ensuring that the fixed photovoltaic support structure can work normally during use.

[0121] In this embodiment, a method for optimizing a fixed photovoltaic support structure is provided, which can be used for the above-mentioned electronic equipment. Figure 5 is a flow chart of an optimization method for a fixed photovoltaic support structure according to an embodiment of the present invention. Figure 5 As shown, the process includes the following steps:

[0122] Step S501, obtain the structural parameters of the target photovoltaic support, and build a fixed photovoltaic support model based on the structural parameters of the target photovoltaic support. Figure 4 Step S401 of the illustrated embodiment will not be described in detail here.

[0123] Step S502, obtain environmental load parameters, determine the load on the photovoltaic support structure based on the environmental load parameters, and apply the load on the photovoltaic support structure to the fixed photovoltaic support model. Figure 4 Step S402 of the illustrated embodiment will not be described in detail here.

[0124] Step S503, perform strength check and deflection check on the fixed photovoltaic support model after applying the photovoltaic support structure load, and obtain the component deflection and component strength of the photovoltaic support structure. Figure 4 Step S403 of the illustrated embodiment will not be described in detail here.

[0125] Step S504, based on the component deflection and component strength, multi-objective optimization is performed on the photovoltaic support components to obtain the optimal structure of the fixed photovoltaic support.

[0126] Specifically, the above step S504 includes:

[0127] Step S5041, determining the component stress ratio and the component slenderness ratio based on the fixed photovoltaic support model after applying the photovoltaic support structure load.

[0128] Step S5042, obtaining support component control information, and comparing component stress ratio, component slenderness ratio, component deflection and component strength with the support component control information.

[0129] Specifically, the support component control information includes: stress ratio is less than 1; the allowable slenderness ratio of the main load-bearing components in the compression components is 180, the allowable slenderness ratio of the secondary components in the compression components is 220, and the allowable slenderness ratio of the tension components is 350; the allowable deflection value of the main beam in the bending component is L / 250, and the allowable deflection value of the secondary beam in the bending component is L / 200.

[0130] Step S5043, if the component stress ratio, component slenderness ratio, component deflection and component strength are inconsistent with the support component control information, the photovoltaic support components are iteratively optimized with the goal of optimizing the engineering quantity of the fixed photovoltaic support to obtain the optimal structure of the fixed photovoltaic support.

[0131] Specifically, by pre-setting a bracket component cross-section library, the preset bracket component cross-section library contains built-in cross-section information such as C-shaped steel and L-shaped steel, the components in the preset bracket component cross-section library are used as iteration parameters, the optimal engineering quantity is used as the goal, and the component size in the preset bracket component cross-section library is used as the initial iteration condition. The calculation control parameters include component stress ratio, component slenderness ratio, component deflection and component strength. The above steps S501-S504 are repeatedly iterated, and the components that do not meet the bracket component control information are searched and recalculated in the cross-section library until the component stress ratio, component slenderness ratio, component deflection and component strength meet the bracket component control information. Then the iteration is stopped to obtain the optimal structure of the fixed photovoltaic bracket.

[0132] Alternatively, the optimal target support engineering volume and pile foundation engineering volume are used as the optimization objective function, the cross-sectional size and length of each component are used as design variables, wherein the component length is controlled by the connection point position, and the stress ratio, slenderness ratio, and deflection that meet the verification calculation requirements are used as constraint functions to establish a multi-objective optimization mathematical model; the mathematical model is solved by using commonly used multi-objective genetic algorithms, multi-objective particle swarm algorithms, neural network algorithms, etc. for comprehensive comparison, and then the optimal structure of the fixed photovoltaic support is obtained.

[0133] The present embodiment provides an optimization method for a fixed photovoltaic support structure, which compares component stress ratio, component slenderness ratio, component deflection and component strength with support component control information, and then iteratively optimizes the photovoltaic support components based on the comparison results with the goal of optimizing the engineering quantity of the fixed photovoltaic support, thereby obtaining the optimal structure of the fixed photovoltaic support. The optimal engineering quantity under the control information of the support components is achieved through multi-objective optimization, and the rapid design of the photovoltaic support structure is assisted by the optimal structure of the fixed photovoltaic support, thereby improving the design efficiency of the photovoltaic support structure.

[0134] The specific steps of the method for rapid three-dimensional design and calculation of a fixed photovoltaic support structure are described below through a specific embodiment.

[0135] Embodiment 1:

[0136] like Figure 6 As shown, the specific steps of the fast three-dimensional design and calculation method of the fixed photovoltaic support structure include:

[0137] Step 1: Complete the establishment of a rapid parametric model of the photovoltaic support structure to form a three-dimensional model of each component of the photovoltaic support.

[0138] Step 2: Automatically assemble the structural models in step 1 according to different photovoltaic bracket forms, numbers of brackets, spacing, etc. to form a three-dimensional photovoltaic bracket overall model (i.e., a fixed photovoltaic bracket model).

[0139] Step 3: Calculate the wind load, snow load, gravity load, earthquake load, etc. on the photovoltaic bracket components by inputting load parameters, implement a method for quickly applying photovoltaic bracket loads, and quickly apply each load to the three-dimensional photovoltaic bracket overall model of step 2 according to different working conditions.

[0140] Step 4: Based on the SAP2000 software, the strength and deflection of the support steel structure are checked and calculated. On this basis, the strength and deflection of the purlin are further checked and calculated based on the continuous simply supported beam method.

[0141] Step 5: Use a multi-objective optimization algorithm, based on the control conditions of stress ratio, slenderness ratio and deflection, take the cross-sectional size and length of each component as basic parameters, and based on the model of steps 1-4, optimize the target support engineering quantity or pile foundation engineering quantity.

[0142] Step 6: Based on the secondary development function of SAP2000, encapsulate the processes in steps 1-5 into an executable plug-in.

[0143] In this embodiment, a device for optimizing a fixed photovoltaic support structure is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0144] This embodiment provides an optimization device for a fixed photovoltaic support structure. Figure 7 As shown, including:

[0145] A construction module 701 is used to obtain structural parameters of a target photovoltaic support and construct a fixed photovoltaic support model based on the structural parameters of the target photovoltaic support;

[0146] An application module 702 is used to obtain environmental load parameters, determine the load of the photovoltaic support structure based on the environmental load parameters, and apply the load of the photovoltaic support structure to the fixed photovoltaic support model;

[0147] The verification module 703 is used to perform strength verification and deflection verification on the fixed photovoltaic support model after the photovoltaic support structure is subjected to a force load, so as to obtain the component deflection and component strength of the photovoltaic support structure;

[0148] The optimization module 704 is used to perform multi-objective optimization on the photovoltaic support components based on the component deflection and component strength to obtain the optimal structure of the fixed photovoltaic support.

[0149] In some optional implementations, the building block 701 includes:

[0150] An establishing unit is used to establish a photovoltaic support component model based on the structural parameters of the target photovoltaic support;

[0151] The first splicing unit is used to obtain the positioning parameters of a single bracket of the bracket, and perform plane splicing of the photovoltaic bracket component model based on the positioning parameters of the single bracket of the bracket;

[0152] The second splicing unit is used to obtain the bracket spacing, bracket margin and number of brackets, and based on the bracket spacing, bracket margin and number of brackets, three-dimensionally splice the photovoltaic bracket component model after plane splicing to obtain a fixed photovoltaic bracket model.

[0153] In some optional embodiments, the applying module 702 includes:

[0154] A first determination unit is used to determine the force load of the photovoltaic support component under different working conditions based on the environmental load parameters;

[0155] A combination unit is used to combine the loads of photovoltaic support components under different working conditions to obtain the loads of the photovoltaic support structure;

[0156] The applying unit is used to apply the force load of the photovoltaic support structure to the fixed photovoltaic support model.

[0157] In some optional implementations, the verification module 703 includes:

[0158] A verification unit is used to obtain effective cross-sectional characteristics of photovoltaic support components. Based on the effective cross-sectional characteristics of photovoltaic support components, a component strength verification is performed on a fixed photovoltaic support model after a force load is applied to the photovoltaic support structure to obtain the component strength.

[0159] The calculation unit is used to determine the component deformation data based on the fixed photovoltaic support model after the photovoltaic support structure is subjected to a force load, and calculate the component deflection based on the component deformation data.

[0160] In some optional implementations, the verification unit includes:

[0161] The first determination subunit is used to determine the bending moment of the main axis of the component cross section based on the force load of the photovoltaic support structure;

[0162] A second determination subunit is used to determine the effective cross-sectional area and the effective section modulus of the main axis of the component cross section based on the effective cross-sectional characteristics of the photovoltaic support component;

[0163] A calculation subunit for calculating the member strength based on the effective cross-sectional area, the bending moment about the principal axes of the member section and the effective section modulus about the principal axes of the member section.

[0164] In some optional implementations, the optimization module 704 includes:

[0165] The second determination unit is used to determine the component stress ratio and the component slenderness ratio based on the fixed photovoltaic support model after the photovoltaic support structure is subjected to a force load;

[0166] A comparison unit, used for obtaining support component control information, and comparing component stress ratio, component slenderness ratio, component deflection and component strength with the support component control information;

[0167] The optimization unit is used to iteratively optimize the photovoltaic bracket components with the goal of optimizing the engineering quantity of the fixed photovoltaic bracket if the component stress ratio, component slenderness ratio, component deflection and component strength are inconsistent with the bracket component control information, so as to obtain the optimal structure of the fixed photovoltaic bracket.

[0168] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0169] In this embodiment, an optimization device for a fixed photovoltaic support structure is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0170] The embodiment of the present invention also provides a computer device having the above Figure 7 An optimization device for a fixed photovoltaic support structure is shown.

[0171] See also Figure 8 , Figure 8 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 8 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 8 A processor 10 is taken as an example.

[0172] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0173] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0174] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0175] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0176] The computer device also includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Figure 8 The example of connecting through bus is taken in the following.

[0177] The input device 30 can receive input digital or character information, and generate key signal input related to the user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator bar, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0178] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0179] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0180] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for optimizing a fixed photovoltaic support structure, characterized in that: The method comprises: Acquire structural parameters of a target photovoltaic bracket, and construct a fixed photovoltaic bracket model based on the structural parameters of the target photovoltaic bracket; Acquire environmental load parameters, determine the stress load of the photovoltaic support structure based on the environmental load parameters, and apply the stress load of the photovoltaic support structure to the fixed photovoltaic support model; Performing strength check and deflection check on the fixed photovoltaic support model after the photovoltaic support structure is subjected to a force load, so as to obtain the component deflection and component strength of the photovoltaic support structure; Based on the component deflection and the component strength, multi-objective optimization is performed on the photovoltaic support components to obtain the optimal structure of the fixed photovoltaic support.

2. The method according to claim 1, characterized in that The method of constructing a fixed photovoltaic support model based on the structural parameters of the target photovoltaic support comprises: Establishing a photovoltaic support component model based on the structural parameters of the target photovoltaic support; Acquire positioning parameters of a single bracket, and perform planar splicing of the photovoltaic bracket component model based on the positioning parameters of the single bracket; The bracket spacing, bracket margin and number of brackets are obtained, and based on the bracket spacing, bracket margin and number of brackets, the photovoltaic bracket component model after plane splicing is three-dimensionally spliced ​​to obtain the fixed photovoltaic bracket model.

3. The method according to claim 1, characterized in that The determining of the photovoltaic support structure load based on the environmental load parameter, and applying the photovoltaic support structure load to the fixed photovoltaic support model, comprises: Determining the loads on photovoltaic support components under different working conditions based on the environmental load parameters; Combining the loads on the photovoltaic support components under the different working conditions to obtain the loads on the photovoltaic support structure; Apply the force load of the photovoltaic support structure to the fixed photovoltaic support model.

4. The method according to claim 1, characterized in that: The method of performing strength check and deflection check on the fixed photovoltaic support model after the photovoltaic support structure is subjected to a force load to obtain the component deflection and component strength of the photovoltaic support structure includes: Acquire the effective cross-sectional characteristics of the photovoltaic support component, and based on the effective cross-sectional characteristics of the photovoltaic support component, perform a component strength check on the fixed photovoltaic support model after the photovoltaic support structure is subjected to a force load, to obtain the component strength; The component deformation data is determined based on the fixed photovoltaic support model after the photovoltaic support structure is subjected to a force load, and the component deflection is calculated based on the component deformation data.

5. The method according to claim 4, characterized in that The method of checking the component strength of the fixed photovoltaic support model after the photovoltaic support structure is subjected to a force load based on the effective cross-sectional characteristics of the photovoltaic support component to obtain the component strength includes: Determine the bending moment of the main axis of the component cross section based on the force load of the photovoltaic support structure; Determine the effective cross-sectional area and the effective section modulus of the main axis of the component cross section based on the effective cross-sectional characteristics of the photovoltaic support component; The member strength is calculated based on the effective cross-sectional area, the bending moment of the member cross-sectional major axis and the effective section modulus of the member cross-sectional major axis.

6. The method according to claim 1, characterized in that The method of performing multi-objective optimization on the photovoltaic support components based on the component deflection and the component strength to obtain the optimal structure of the fixed photovoltaic support includes: Determining a component stress ratio and a component slenderness ratio based on the fixed photovoltaic support model after applying the photovoltaic support structure stress load; Acquire support component control information, and compare the component stress ratio, the component slenderness ratio, the component deflection and the component strength with the support component control information; If the component stress ratio, the component slenderness ratio, the component deflection and the component strength are inconsistent with the bracket component control information, the photovoltaic bracket components are iteratively optimized with the goal of optimizing the engineering quantity of the fixed photovoltaic bracket to obtain the optimal structure of the fixed photovoltaic bracket.

7. An optimization device for a fixed photovoltaic support structure, characterized in that: The device comprises: A construction module is used to obtain the structural parameters of the target photovoltaic support and construct a fixed photovoltaic support model based on the structural parameters of the target photovoltaic support; An application module, used for acquiring environmental load parameters, determining the stress load of the photovoltaic support structure based on the environmental load parameters, and applying the stress load of the photovoltaic support structure to the fixed photovoltaic support model; A verification module is used to perform strength verification and deflection verification on the fixed photovoltaic support model after the photovoltaic support structure is subjected to a force load, so as to obtain the component deflection and component strength of the photovoltaic support structure; The optimization module is used to perform multi-objective optimization on the photovoltaic support components based on the component deflection and the component strength to obtain the optimal structure of the fixed photovoltaic support.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the optimization method of the fixed photovoltaic support structure according to any one of claims 1 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the optimization method for a fixed photovoltaic support structure according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises computer instructions, wherein the computer instructions are used to enable a computer to execute the optimization method of the fixed photovoltaic support structure according to any one of claims 1 to 6.

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