Motion response spectrum prediction method and device for semi-submersible photovoltaic platform

Abstract

The invention provides a motion response spectrum prediction method and device for a semi-submersible photovoltaic platform. The method comprises the following steps: acquiring structural parameters of a target semi-submersible photovoltaic platform and sea condition data of a target sea area, and determining a designed wave spectrum according to the sea condition data; based on the structural parameters, establishing a coupling hydrodynamic numerical model comprising the floating body and each upright post; inputting a designed wave spectrum into the coupled hydrodynamic numerical model to perform motion response analysis of the platform under the action of waves to obtain a six-degree-of-freedom motion response spectrum of the platform; and evaluating a platform motion amplitude based on the motion response spectrum. According to the method, platform structure parameters and sea area wave spectrums are integrated, a coupled hydrodynamic model is established for motion response analysis, and the motion state of the semi-submersible photovoltaic platform in waves can be predicted more accurately.

Description

Technical Field

[0001] This application relates to the field of marine engineering technology, and more specifically, to a method and apparatus for predicting the motion response spectrum of a semi-submersible photovoltaic platform. Background Technology

[0002] Floating photovoltaic (PV) systems are an important direction for the development and utilization of marine renewable energy. In recent years, marine PV demonstration projects have been launched both domestically and internationally. Among them, semi-submersible platforms have become one of the preferred structural forms for deep-sea PV construction due to their good resistance to wind and waves and high stability.

[0003] In existing technologies, the prediction of motion response of offshore floating platforms often employs general hydrodynamic analysis models, typically based on simplified geometries (such as rectangular or circular floats) and uniform mass distributions, and utilizes standard wave spectra (such as the JONSWAP spectrum) for frequency or time domain analysis. These methods can, to some extent, assess the platform's motion performance under wave action.

[0004] However, existing methods for predicting the motion response of floating photovoltaic platforms at sea lack sufficient accuracy in predicting their motion behavior under adverse sea conditions because they do not deeply integrate the specific structural morphology of the actual platform (such as details like hexagonal floats, hexagonal and central column arrangements, and high freeboard design). This makes it impossible to accurately assess the platform's six-degree-of-freedom motion response in waves, thus affecting the reliable assurance of platform structural safety verification and photovoltaic system operational stability. Summary of the Invention

[0005] The purpose of this application is to provide a method and apparatus for predicting the motion response spectrum of a semi-submersible photovoltaic platform. By integrating platform structural parameters with the wave spectrum of the sea area, a coupled hydrodynamic model is established to analyze the motion response. This method can more accurately predict the motion state of the semi-submersible photovoltaic platform in waves, providing a scientific basis for assessing the platform's motion safety and the operational stability of the upper photovoltaic system.

[0006] Firstly, a method for predicting the motion response spectrum of a semi-submersible photovoltaic platform is provided, the method including: Obtain the structural parameters of the target semi-submersible photovoltaic platform and the sea state data of the target sea area, and determine the design wave spectrum based on the sea state data; Based on the aforementioned structural parameters, a coupled hydrodynamic numerical model including the floating body and each column is established. The designed wave spectrum is input into the coupled hydrodynamic numerical model to perform motion response analysis of the platform under wave action, and the six-degree-of-freedom motion response spectrum of the platform is obtained. The platform's motion amplitude is evaluated based on the motion response spectrum.

[0007] In one possible implementation, the structural parameters include the geometry of the float, the distribution and size of the columns arranged at the hexagonal corners and center of the float, the type of float, and the freeboard height of the platform; wherein the type of float is a small waterplane area rigid float.

[0008] In one possible implementation, the sea state data includes wave characteristic parameters; Based on the sea state data, the design wave spectrum is determined, including: Based on the extracted wave feature parameters, the JONSWAP spectral model was selected; The significant wave height and mean zero-crossing period from the wave characteristic parameters are used as inputs to the JONSWAP spectrum model. Substituting these into the theoretical formula of the JONSWAP spectrum, a design wave spectrum matching the sea state of the target sea area is obtained.

[0009] In one possible implementation, based on the structural parameters, a coupled hydrodynamic numerical model is established, including the floating body and each column, comprising: Based on the structural parameters, a three-dimensional geometric model of the floating body and each column located at its hexagonal corner and center is constructed using three-dimensional geometric modeling and finite element processing technology. The three-dimensional geometric model is assigned corresponding material properties, mass characteristics, and mass distribution to obtain a coupled hydrodynamic numerical model; the mass distribution includes the overall mass of the platform, the position of the center of gravity, and the moment of inertia of each part.

[0010] In one possible implementation, the designed wave spectrum is input into the coupled hydrodynamic numerical model to perform motion response analysis of the platform under wave action, obtaining the six-degree-of-freedom motion response spectrum of the platform, including: A frequency domain hydrodynamic analysis algorithm based on potential flow theory is used to calculate the hydrodynamic coefficients of the coupled hydrodynamic numerical model in the frequency domain. Using the designed wave spectrum as the input load, the motion amplitude response operator of the platform at each wave frequency is obtained by calculating through the hydrodynamic transfer function. The spectral density of the designed wave spectrum is integrated with the motion amplitude response operator at the corresponding frequency to synthesize and predict the six-degree-of-freedom motion response spectrum of the platform.

[0011] In one possible implementation, evaluating the platform motion amplitude based on the motion response spectrum includes: Each motion evaluation parameter predicted by the six-degree-of-freedom motion response spectrum is compared with the preset corresponding motion amplitude safety threshold. If none of the motion assessment parameters exceed the corresponding motion amplitude safety threshold, the platform motion is deemed to meet the requirements for safe operation.

[0012] In one possible implementation, after obtaining the six-degree-of-freedom motion response spectrum of the platform, the method further includes: Extract the platform motion extreme response that satisfies the extreme sea state design conditions from the six-degree-of-freedom motion response spectrum; Using the extreme motion response as a load condition, finite element static or dynamic loading analysis is performed on the platform structure to obtain the stress distribution of key parts of the structure and generate a stress cloud map of the platform structure under the extreme sea conditions. If the maximum stress value in the stress cloud diagram does not exceed the allowable stress value of the material, then the prediction result of the motion response spectrum is verified to be valid and the structural strength of the platform meets the design requirements.

[0013] Secondly, a motion response spectrum prediction device for a semi-submersible photovoltaic platform is provided, the device comprising: The acquisition unit is used to acquire the structural parameters of the target semi-submersible photovoltaic platform and the sea state data of the target sea area; The determining unit is used to determine the design wave spectrum based on the sea state data; A unit is established to create a coupled hydrodynamic numerical model including the floating body and each column based on the structural parameters. The analysis unit is used to input the design wave spectrum into the coupled hydrodynamic numerical model to perform motion response analysis of the platform under wave action and obtain the six-degree-of-freedom motion response spectrum of the platform. An evaluation unit is used to evaluate the platform's motion amplitude based on the motion response spectrum.

[0014] Thirdly, an electronic device is provided, which includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When a processor executes a program stored in memory, it implements any of the steps described in the first aspect above.

[0015] Fourthly, a computer-readable storage medium is provided, wherein a computer program is stored therein, and when executed by a processor, the computer program implements the steps of any of the methods described in the first aspect above.

[0016] The present application provides a method and apparatus for predicting the motion response spectrum of a semi-submersible photovoltaic platform. The method acquires the structural parameters of the target semi-submersible photovoltaic platform and sea state data of the target sea area, and determines the design wave spectrum based on the sea state data. Based on the structural parameters, a coupled hydrodynamic numerical model including the buoy and each column is established. The design wave spectrum is input into the coupled hydrodynamic numerical model to analyze the platform's motion response under wave action, obtaining the platform's six-degree-of-freedom motion response spectrum. Based on the motion response spectrum, the platform's motion amplitude is evaluated. This method, by integrating platform structural parameters and sea area wave spectra to establish a coupled hydrodynamic model for motion response analysis, can more accurately predict the motion state of a semi-submersible photovoltaic platform in waves, providing a scientific basis for assessing the platform's motion safety and the operational stability of the upper photovoltaic system. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart illustrating a motion response spectrum prediction method for a semi-submersible photovoltaic platform provided in this application embodiment; Figure 2 A schematic diagram of a motion response spectrum prediction device for a semi-submersible photovoltaic platform provided in this application embodiment; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application. Unless otherwise defined, the technical or scientific terms used in this application should have the ordinary meaning understood by those skilled in the art. The words "first," "second," and similar terms used in this application do not indicate any order, quantity, or importance, but are only used to distinguish different components. The words "comprising" or "including," etc., mean that the element or object preceding the word covers the element or object listed after the word and its equivalents, but do not exclude other elements or objects. The words "connected," "coupled," or "connected," etc., are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up," "down," "left," "right," etc., are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0020] The target platform addressed in this application is a semi-submersible floating photovoltaic platform specifically designed for deep-sea environments. Its core structure is a small waterplane area rigid float with a regular hexagonal top view. This configuration helps to distribute wave loads and provide a stable deck area.

[0021] In terms of the structural arrangement of the floating body, columns are vertically installed at the six corners and geometric center of the regular hexagon. These columns are the key supporting components of the platform. Their tops support the deck structure of the upper photovoltaic array and electrical equipment, while their lower parts are rigidly connected to the hexagonal floating body, together forming a spatial frame system to provide sufficient rigidity and strength.

[0022] A key safety design parameter for the platform is its freeboard height, which is 7.5 meters in this embodiment. Freeboard refers to the vertical distance from the upper surface of the platform hull (or the lower surface of the deck) to the design waterline. A higher freeboard is designed to prevent waves from directly impacting the bottom of the deck or the superstructure in rough sea conditions, thereby protecting the photovoltaic modules and electrical equipment.

[0023] In addition, boarding ladders are installed on both sides of the floating structure to facilitate operation and maintenance, ensuring that personnel can safely board the platform for maintenance work.

[0024] The motion response spectrum prediction method for semi-submersible photovoltaic platforms provided in this application combines the platform's unique structural features (such as hexagonal shape, multiple columns, and high freeboard) with the harsh sea conditions of the target area to perform customized and refined motion response prediction. Specifically, this method integrates the specific structural features of the hexagonal semi-submersible photovoltaic platform with the wave loads of harsh sea conditions, achieving customization and accuracy in motion response prediction. This significantly improves the consistency between the prediction results and actual operating conditions, providing a reliable basis for the platform's structural safety design, anti-impact arrangement, and stable operation of the photovoltaic system, thereby enhancing the technical feasibility and operational safety of deep-sea floating photovoltaic projects.

[0025] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application. Furthermore, the embodiments and features in the embodiments of this application can be combined with each other without conflict.

[0026] Figure 1 This is a flowchart illustrating a motion response spectrum prediction method for a semi-submersible photovoltaic platform, provided as an embodiment of this application. Figure 1 As shown, the method may include: Step S110: Obtain the structural parameters of the target semi-submersible photovoltaic platform and the sea state data of the target sea area, and determine the design wave spectrum based on the sea state data.

[0027] First, collect and input all key structural parameters of the platform to be analyzed. These parameters are the foundation for building an accurate numerical model and specifically include: The geometry of the buoy: the side length of the regular hexagon, the draft, etc.

[0028] Distribution and dimensions of the columns arranged at the hexagonal corners and center of the float: the diameter, height, wall thickness of each column at the hexagonal corners and center, and their precise coordinate positions on the float.

[0029] Floating body type: It is a rigid floating body with a small waterline, which determines its hydrodynamic characteristics and mass distribution pattern.

[0030] Platform freeboard height: 7.5 meters in this embodiment, which is a key input for assessing wave impact risk.

[0031] Simultaneously, sea state data for the target sea area is acquired. This data typically originates from long-term observations and reanalysis data from marine observation stations, satellite remote sensing, or authoritative marine meteorological databases. It is used to extract wave characteristic parameters that describe the statistical characteristics of ocean waves, mainly including historical and statistical characteristic parameters such as significant wave height, mean zero-crossing period, spectral peak period, and wave direction.

[0032] Secondly, determining the design wave spectrum based on sea state data includes: Based on the extracted wave characteristic parameters, the JONSWAP spectral model was selected. Specifically, considering the characteristics of the target sea area, which typically experiences fully developed wind and waves and severe sea conditions, the JONSWAP spectrum, suitable for limited wind areas, was chosen as the design wave spectrum model. This spectrum can better describe the peak characteristics that exist during the wind and wave growth process.

[0033] Using the significant wave height Hs and the average zero-crossing period Tz from the wave characteristic parameters as inputs to the JONSWAP spectral model, and substituting them into the theoretical formula for the JONSWAP spectrum, the spectral density function of the JONSWAP spectrum is typically expressed as:

[0034] Where ω is the wave angular frequency. Here, γ is the peak frequency (related to the peak period), σ is the peak shape factor, α is the peak shape parameter, and α is the scale parameter. Using statistical parameters such as the significant wave height Hs and the average zero-period transition Tz, α in the formula can be calculated or fitted. Key parameters such as γ.

[0035] Based on the above calculations, the design wave spectrum matching the sea state of the target sea area (i.e., the specific JONSWAP design wave spectrum S(ω) matching the long-term statistical characteristics of the target sea area) is obtained.

[0036] This implementation describes random, irregular ocean waves as wave energy spectra that can be used for engineering calculations by defining a specific design wave spectrum.

[0037] Step S120: Based on the structural parameters, establish a coupled hydrodynamic numerical model that includes the floating body and each column.

[0038] Based on structural parameters, a three-dimensional geometric model of the floating body and the columns located at its hexagonal corners and center is constructed using three-dimensional geometric modeling and finite element processing technology.

[0039] Specifically: Constructing a three-dimensional geometric model: Using three-dimensional geometric modeling and finite element processing techniques, based on the obtained structural parameters, a precise three-dimensional geometric model of the regular hexagonal floating body and the seven pillars located at its hexagonal corners and center is established. The model accurately reflects the shape, size, and spatial relative position of each component.

[0040] By assigning corresponding material properties, mass characteristics, and mass distribution to the three-dimensional geometric model, a coupled hydrodynamic numerical model is obtained. The mass distribution includes the platform's overall mass, center of gravity position, and moments of inertia of each part. Specifically: Assigning material and mass properties: Assigning the above geometric model the corresponding material properties (such as elastic modulus and density) of steel. More importantly, defining the platform's mass characteristics and mass distribution.

[0041] In addition to overall input quality, it also includes: Center of gravity position: Calculate the three-dimensional coordinates based on the arrangement of the floating body, column, and pre-set photovoltaic equipment, ballast water, etc.

[0042] Moment of inertia: the moment of rotation about the three coordinate axes.

[0043] Mass Distribution: To more accurately simulate actual operational conditions, equivalent mass points need to be applied to the corresponding locations in the model based on the specific arrangement of photovoltaic modules and electrical equipment on the deck. Simultaneously, according to the ballast strategy, the distributed liquid mass within the floating ballast tanks is simulated. This non-uniform mass loading method more realistically reflects the platform's stability and motion characteristics under actual loads, and is a crucial step in improving prediction accuracy. After completing this step, a coupled hydrodynamic numerical model suitable for hydrodynamic analysis is obtained.

[0044] Step S130: Input the design wave spectrum into the coupled hydrodynamic numerical model to perform motion response analysis of the platform under wave action and obtain the six-degree-of-freedom motion response spectrum of the platform.

[0045] A frequency-domain hydrodynamic analysis algorithm based on potential flow theory is employed to calculate the hydrodynamic coefficients within the frequency domain of the coupled hydrodynamic numerical model. Specifically, the established coupled hydrodynamic numerical model is imported into a frequency-domain hydrodynamic solver. This solver uses potential flow theory (such as the boundary element method) to calculate a series of hydrodynamic coefficients within the frequency domain (covering the main energy frequency bands of ocean waves), which may include added mass, radiation damping, and wave excitation forces.

[0046] Using the design wave spectrum as the input load, the platform's motion amplitude response operators at various wave frequencies are obtained through hydrodynamic transfer function calculations. Specifically, by solving the motion equations, the motion amplitude response operators for the platform's six degrees of freedom (sway, roll, heave, pitch, pitch, and yaw) at various wave frequencies ω are obtained. RAO(ω) is a complex number whose modulus represents the platform's motion response amplitude at that degree of freedom per unit wave amplitude, and whose phase represents the hysteresis of the motion relative to the wave.

[0047] The spectral density of the design wave spectrum is integrated with the motion amplitude response operator at the corresponding frequency to synthesize the six-degree-of-freedom motion response spectrum of the prediction platform. Specifically, the generated design wave spectrum S(ω) is used as the input load. According to linear system theory, under the action of stationary random ocean waves, the platform's motion response spectrum... It can be synthesized by the following formula: In practice, for each degree of freedom, the spectral density S(ω) of the designed wave spectrum is compared with the motion amplitude response operator at the corresponding frequency. By performing integration (or accumulation at discrete frequencies), the motion response spectrum of that degree of freedom can be predicted. This yields the complete six-degree-of-freedom motion response spectrum, which describes the distribution of the platform's motion energy in all directions with frequency, and allows the extraction of statistical characteristics of the motion amplitude (such as maximum amplitude, meaningful amplitude, etc.).

[0048] Step S140: Evaluate the platform motion amplitude based on the motion response spectrum.

[0049] Motion evaluation parameters predicted from the obtained motion response spectra of each degree of freedom, such as the maximum or meaningful amplitudes of platform heave, pitch, and roll motions.

[0050] These motion assessment parameters (maximum or meaningful amplitude of platform heave, pitch, and roll motion) are compared with preset corresponding motion amplitude safety thresholds; these safety thresholds are preset based on the mechanical strength of the upper photovoltaic modules, the allowable deformation of the mounting bracket, and the requirements for continuous and stable operation of electrical equipment.

[0051] If none of the motion assessment parameters exceed the corresponding motion amplitude safety threshold, then the platform is deemed to meet the safety operation requirements under the sea state corresponding to the current design wave spectrum. This provides a direct criterion for the feasibility of the platform design scheme.

[0052] In some embodiments, to verify the effectiveness of motion prediction and assess structural safety, the following steps are performed: From the obtained six-degree-of-freedom motion response spectrum, combined with probability and statistical methods (such as long-term distribution), the platform motion extreme values ​​(such as maximum heave displacement, maximum pitch angle, etc.) corresponding to extreme sea state design conditions (such as 50-year return period wave height) are extracted in the six degrees of freedom. Using the extreme motion response as a load condition, finite element static or dynamic loading analysis is performed on the platform structure to obtain the stress distribution of key structural components and generate a stress cloud map of the platform structure under the extreme sea state. Specifically, the aforementioned extreme motion response is used as a load condition and applied to the finite element model of the platform structure for static or dynamic loading analysis. The stress distribution of the platform structure (especially key components such as floating bodies, columns, and connecting nodes) under this extreme motion state is calculated, and a stress cloud map is generated.

[0053] If the maximum stress value (such as von Mises equivalent stress) in the stress cloud diagram does not exceed the allowable stress value of the material, then the prediction results of the motion response spectrum are valid and the structural strength of the platform meets the design requirements of the specification.

[0054] In some embodiments, to further enhance the method's ability to provide early warning of the specific risk of wave impact, this application includes the following steps: After determining the design wave spectrum in step S110, based on linear wave theory, the maximum trajectory height of wave particles above the still water surface is calculated for different component waves in the design wave spectrum (corresponding to different wave periods T or frequencies ω). For deep-water waves, this height is approximately equal to the wave amplitude 'a', but it is related to the period.

[0055] The platform's freeboard height F (7.5m) is compared with the calculated maximum trajectory height of the wave particles. Perform dynamic comparisons.

[0056] Define when Exceeding a certain percentage (e.g., 80%) of the freeboard height F. When the wave height is greater than 0.8F, the corresponding wave state (a specific combination of wave height H and period T) is a potential wave impact hazard. The wave parameter ranges for all such hazard conditions are identified in the frequency-wave height space and set as wave impact boundary conditions.

[0057] In the motion response analysis of step S130, based on the wave frequency range prone to impact defined by the wave impact boundary conditions, the motion transfer function data for this critical frequency range is specifically extracted from the calculated motion amplitude response operator. Subsequently, when synthesizing the overall motion response spectrum, the contribution component of this critical frequency range to the overall motion response spectrum is simultaneously calculated and output.

[0058] Corresponding to the above method, embodiments of this application also provide a motion response spectrum prediction device for a semi-submersible photovoltaic platform, such as... Figure 2 As shown, the device includes: Acquisition unit 210 is used to acquire the structural parameters of the target semi-submersible photovoltaic platform and the sea state data of the target sea area; The determining unit 220 is used to determine the design wave spectrum based on the sea state data; Establishment unit 230 is used to establish a coupled hydrodynamic numerical model including the floating body and each column based on the structural parameters; Analysis unit 240 is used to input the design wave spectrum into the coupled hydrodynamic numerical model to perform motion response analysis of the platform under wave action and obtain the six-degree-of-freedom motion response spectrum of the platform. Evaluation unit 250 is used to evaluate the platform motion amplitude based on the motion response spectrum.

[0059] The functions of each functional unit in the motion response spectrum prediction device for a semi-submersible photovoltaic platform provided in the above embodiments of this application can be implemented through the above-described method steps. Therefore, the specific working process and beneficial effects of each unit in the motion response spectrum prediction device for a semi-submersible photovoltaic platform provided in the embodiments of this application will not be repeated here.

[0060] This application also provides an electronic device, such as... Figure 3 As shown, it includes a processor 310, a communication interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communication interface 320, and the memory 330 communicate with each other through the communication bus 340.

[0061] Memory 330 is used to store computer programs; When the processor 310 executes the program stored in the memory 330, it performs the following steps: Obtain the structural parameters of the target semi-submersible photovoltaic platform and the sea state data of the target sea area, and determine the design wave spectrum based on the sea state data; Based on the aforementioned structural parameters, a coupled hydrodynamic numerical model including the floating body and each column is established. The designed wave spectrum is input into the coupled hydrodynamic numerical model to perform motion response analysis of the platform under wave action, and the six-degree-of-freedom motion response spectrum of the platform is obtained. The platform's motion amplitude is evaluated based on the motion response spectrum.

[0062] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0063] The communication interface is used for communication between the aforementioned electronic devices and other devices.

[0064] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0065] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0066] The implementation methods and beneficial effects of the various components of the electronic device in the above embodiments for solving the problem can be found in [reference needed]. Figure 1 The steps in the illustrated embodiments are used to implement the electronic device. Therefore, the specific working process and beneficial effects of the electronic device provided in this application will not be repeated here.

[0067] In another embodiment provided in this application, a computer-readable storage medium is also provided, which stores instructions that, when executed on a computer, cause the computer to perform the motion response spectrum prediction method for a semi-submersible photovoltaic platform as described in any of the above embodiments.

[0068] In another embodiment provided in this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to execute the motion response spectrum prediction method for a semi-submersible photovoltaic platform as described in any of the above embodiments.

[0069] Those skilled in the art will understand that the embodiments in this application can be provided as methods, systems, or computer program products. Therefore, the embodiments in this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the embodiments in this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0070] This application describes embodiments of methods, apparatus (systems), and computer program products according to embodiments of this application with reference to flowchart illustrations and / or block diagrams. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0071] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0072] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0073] Although preferred embodiments have been described in this application, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of this application.

[0074] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the claims in this application and their equivalents, then this application also intends to include these modifications and variations.

Claims

1. A method for predicting the motion response spectrum of a semi-submersible photovoltaic platform, characterized in that, The method includes: Obtain the structural parameters of the target semi-submersible photovoltaic platform and the sea state data of the target sea area, and determine the design wave spectrum based on the sea state data; Based on the aforementioned structural parameters, a coupled hydrodynamic numerical model including the floating body and each column is established. The designed wave spectrum is input into the coupled hydrodynamic numerical model to perform motion response analysis of the platform under wave action, and the six-degree-of-freedom motion response spectrum of the platform is obtained. The platform's motion amplitude is evaluated based on the motion response spectrum.

2. The method as described in claim 1, characterized in that, The structural parameters include the geometry of the float, the distribution and size of the columns arranged at the hexagonal corners and center of the float, the type of float, and the freeboard height of the platform; wherein, the type of float is a small waterplane area rigid float.

3. The method as described in claim 1, characterized in that, The sea state data includes wave characteristic parameters; Based on the sea state data, the design wave spectrum is determined, including: Based on the extracted wave feature parameters, the JONSWAP spectral model was selected; The significant wave height and mean zero-crossing period from the wave characteristic parameters are used as inputs to the JONSWAP spectrum model. Substituting these into the theoretical formula of the JONSWAP spectrum, a design wave spectrum matching the sea state of the target sea area is obtained.

4. The method as described in claim 2, characterized in that, Based on the structural parameters, a coupled hydrodynamic numerical model including the floating body and each column is established, including: Based on the structural parameters, a three-dimensional geometric model of the floating body and each column located at its hexagonal corner and center is constructed using three-dimensional geometric modeling and finite element processing technology. The three-dimensional geometric model is assigned corresponding material properties, mass characteristics, and mass distribution to obtain a coupled hydrodynamic numerical model; the mass distribution includes the overall mass of the platform, the position of the center of gravity, and the moment of inertia of each part.

5. The method as described in claim 1, characterized in that, The designed wave spectrum is input into the coupled hydrodynamic numerical model to perform motion response analysis of the platform under wave action, obtaining the six-degree-of-freedom motion response spectrum of the platform, including: A frequency domain hydrodynamic analysis algorithm based on potential flow theory is used to calculate the hydrodynamic coefficients of the coupled hydrodynamic numerical model in the frequency domain. Using the designed wave spectrum as the input load, the motion amplitude response operator of the platform at each wave frequency is obtained by calculating through the hydrodynamic transfer function. The spectral density of the designed wave spectrum is integrated with the motion amplitude response operator at the corresponding frequency to synthesize and predict the six-degree-of-freedom motion response spectrum of the platform.

6. The method as described in claim 1, characterized in that, The evaluation of platform motion amplitude based on the motion response spectrum includes: Each motion evaluation parameter predicted by the six-degree-of-freedom motion response spectrum is compared with the preset corresponding motion amplitude safety threshold. If none of the motion assessment parameters exceed the corresponding motion amplitude safety threshold, the platform motion is deemed to meet the requirements for safe operation.

7. The method as described in claim 1, characterized in that, After obtaining the six-degree-of-freedom motion response spectrum of the platform, the method further includes: Extract the platform motion extreme response that satisfies the extreme sea state design conditions from the six-degree-of-freedom motion response spectrum; Using the extreme motion response as a load condition, finite element static or dynamic loading analysis is performed on the platform structure to obtain the stress distribution of key parts of the structure and generate a stress cloud map of the platform structure under the extreme sea conditions. If the maximum stress value in the stress cloud diagram does not exceed the allowable stress value of the material, then the prediction result of the motion response spectrum is verified to be valid and the structural strength of the platform meets the design requirements.

8. A motion response spectrum prediction device for a semi-submersible photovoltaic platform, characterized in that, The device includes: The acquisition unit is used to acquire the structural parameters of the target semi-submersible photovoltaic platform and the sea state data of the target sea area; The determining unit is used to determine the design wave spectrum based on the sea state data; A unit is established to create a coupled hydrodynamic numerical model including the floating body and each column based on the structural parameters. The analysis unit is used to input the design wave spectrum into the coupled hydrodynamic numerical model to perform motion response analysis of the platform under wave action and obtain the six-degree-of-freedom motion response spectrum of the platform. An evaluation unit is used to evaluate the platform's motion amplitude based on the motion response spectrum.

9. An electronic device, characterized in that, The electronic device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the method of any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method described in any one of claims 1-7.

Images