Blade leading edge parameter determination method and device, storage medium and electronic device

Abstract

The invention discloses a blade leading edge parameter determination method and device, a storage medium and an electronic device. The method comprises the steps that initial design parameters of a blade and environment parameters of a blade working area are acquired; according to the initial design parameters and the environmental parameters, the blade leading edge type to be applied is determined, wherein the blade leading edge type at least comprises a bionic concave-convex leading edge; an objective function corresponding to the blade leading edge type is determined, parameter data of the blade leading edge type are determined based on the objective function and the initial design parameters, and the parameter data are used for indicating the installation specification of the blade leading edge on the blade. The problem that the blades of the wind driven generator are prone to dynamic stall is solved. Furthermore, by analyzing blade design and environmental conditions and optimizing and selecting the mounting specification of the bionic concave-convex front edge, the aerodynamic performance and the power generation efficiency of the wind turbine generator blade are remarkably improved, the dynamic stall is effectively reduced, and the adaptability of the blade to the variable wind speed is enhanced.

Description

Technical Field

[0001] The present application relates to the field of wind power, and in particular, to a method and device for determining blade leading edge parameters, a storage medium and an electronic device. Background Art

[0002] The concave-convex leading edge of the wind turbine is a specially designed blade structure with an uneven leading edge shape. This design can increase the aerodynamic efficiency of the blade, reduce wind resistance, and improve the power generation efficiency of the wind turbine. In addition, the concave-convex leading edge can also improve the wind resistance of the blade, so that the wind turbine can operate normally under severe weather conditions. The blade design of the vertical axis wind turbine is more complicated than that of the horizontal axis wind turbine, because the blade needs to be able to effectively capture wind energy under different wind directions and wind speeds. The concave-convex leading edge design can make the blade more flexible to adapt to different wind directions and wind speeds, and improve the adaptability and stability of the wind turbine. In the related art, when the vertical axis blade rotates one circle, due to its large angle of attack operating range, the problem that the blade is prone to dynamic stall has become an important factor restricting the efficiency of wind power generation. Dynamic stall not only leads to a decline in the performance of the wind turbine, but also may cause damage to the equipment and increase operation and maintenance costs.

[0003] In the related art, there is no effective solution to the problem that the blades of wind turbines are prone to dynamic stall.

[0004] Therefore, it is necessary to improve the related technology to overcome the above-mentioned defects in the related technology. Summary of the invention

[0005] The embodiments of the present application provide a method and device for determining blade leading edge parameters, a storage medium, and an electronic device, so as to at least solve the problem that the blades of a wind turbine are prone to dynamic stall.

[0006] According to one aspect of an embodiment of the present application, a method for determining blade leading edge parameters is provided, including: obtaining initial design parameters of the blade and environmental parameters of the blade working area; determining the type of blade leading edge to be applied based on the initial design parameters and the environmental parameters, wherein the blade leading edge type includes at least: a bionic concave-convex leading edge; determining an objective function corresponding to the blade leading edge type, and determining parameter data of the blade leading edge type based on the objective function and the initial design parameters, wherein the parameter data is used to indicate the installation specifications of the blade leading edge on the blade.

[0007] In an exemplary embodiment, after determining the objective function corresponding to the blade leading edge type and determining the parameter data of the blade leading edge type based on the objective function and the initial design parameters, the method further includes: evaluating the resource consumption cost of using the parameter data of multiple preset production methods to obtain multiple cost results; selecting a target generation method with the least resource consumption from the multiple cost results, and determining the time node for installing the blade leading edge on the blade using the target generation method.

[0008] In an exemplary embodiment, determining the objective function corresponding to the blade leading edge type includes: identifying the blade span value and the blade span position of the chord length distribution change in the initial design parameters; substituting the blade span value and the blade span position into a preset basic function formula to obtain a first functional relationship, wherein the preset basic function formula is: C(x)=a n* x n +a (n-1)* x (n-1) +…+a (i) *x (i) +…+a1*x+a0, C(x) is the blade chord length, i is the blade span position, x is the blade span value, a (i) are polynomial coefficients; the objective function is determined based on the first functional relationship and the second functional relationship, wherein the second functional relationship is: λ(C)=f(h(C)), h(C) is the blade leading edge amplitude, and λ(C) is the blade leading edge wavelength.

[0009] In an exemplary embodiment, after determining the parameter data of the blade leading edge type based on the objective function and the initial design parameters, the method further includes: determining the leading edge airfoil amplitude and the leading edge airfoil wavelength of the current blade leading edge type based on the parameter data; and adjusting the generation parameters of the leading edge production equipment according to the leading edge airfoil amplitude and the leading edge airfoil wavelength.

[0010] In an exemplary embodiment, the type of blade leading edge to be applied is determined based on initial design parameters and environmental parameters, including: determining a target blade chord length of the blade to be applied based on the initial design parameters; matching the production material of the blade from a preset reference database using the environmental parameters and the target blade chord length, wherein the preset reference database stores a correspondence between multiple sets of environmental parameters and blade chord lengths and blade materials; determining the type of blade leading edge to be applied through the production material, wherein there is a correspondence between the type of blade leading edge and the production material.

[0011] In an exemplary embodiment, after obtaining the initial design parameters of the blade and the environmental parameters of the blade working area, the method further includes: determining historical blade reference parameters corresponding to the environmental parameters; comparing the historical blade reference parameters with the initial design parameters; and determining whether to terminate the process of determining parameter data for the blade leading edge type based on the comparison results.

[0012] According to another aspect of an embodiment of the present application, a device for determining the leading edge parameters of a blade is also provided, including: an acquisition module for acquiring the initial design parameters of the blade and the environmental parameters of the working area of ​​the blade; a first determination module for determining the type of blade leading edge to be applied based on the initial design parameters and the environmental parameters, wherein the type of blade leading edge includes at least: a bionic concave-convex leading edge; a second determination module for determining the objective function corresponding to the type of blade leading edge, and determining parameter data of the type of blade leading edge based on the objective function and the initial design parameters, wherein the parameter data is used to indicate the installation specifications of the blade leading edge on the blade.

[0013] According to another aspect of the embodiment of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned method for determining the leading edge parameters of the blade when running.

[0014] According to another aspect of an embodiment of the present application, an electronic device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the method for determining the leading edge parameters of the blade through the computer program.

[0015] According to another aspect of the embodiment of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the method for determining the leading edge parameters of the blade is implemented.

[0016] Through this application, the initial design parameters of the blade and the environmental parameters of the blade working area are obtained; the type of blade leading edge to be applied is determined according to the initial design parameters and the environmental parameters, wherein the blade leading edge type includes at least: a bionic concave-convex leading edge; the objective function corresponding to the blade leading edge type is determined, and the parameter data of the blade leading edge type is determined based on the objective function and the initial design parameters, wherein the parameter data is used to indicate the installation specifications of the blade leading edge on the blade. The above technical solution solves the problem that the blades of wind turbines are prone to dynamic stall. Furthermore, by analyzing the blade design and environmental conditions, the installation specifications of the selected bionic concave-convex leading edge are optimized, the aerodynamic performance and power generation efficiency of the wind turbine blades are significantly improved, the dynamic stall is effectively reduced, and the adaptability of the blades to changing wind speeds is enhanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 It is a hardware structure block diagram of a computer terminal of a method for determining a blade leading edge parameter according to an embodiment of the present application;

[0020] Figure 2 is a flow chart of a method for determining blade leading edge parameters according to an embodiment of the present application;

[0021] Figure 3 is a schematic diagram of an optimized design of a concave-convex leading edge wind turbine blade according to an embodiment of the present application;

[0022] Figure 4 is a flow chart of optimization design of a concave-convex leading edge wind turbine blade according to an embodiment of the present application;

[0023] Figure 5 It is a structural block diagram of determining a blade leading edge parameter according to an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal, a mobile terminal or a similar computing device. Taking running on a computer terminal as an example, Figure 1 1 is a hardware structure block diagram of a computer terminal of a method for determining blade leading edge parameters in an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor (Central Processing Unit, CPU) or a programmable logic device (Field Programmable Gate Array, FPGA)) and a memory 104 for storing data, wherein the above-mentioned computer terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0027] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the method for determining the leading edge parameters of the blade in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories can be connected to the computer terminal 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.

[0028] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0029] In this embodiment, a method for determining blade leading edge parameters is provided. Figure 2 is a flow chart of a method for determining blade leading edge parameters according to an embodiment of the present application, such as Figure 2 As shown, the process includes the following steps S202-S206:

[0030] Step S202: Acquire the initial design parameters of the blade and the environmental parameters of the blade working area;

[0031] Step S204: determining the type of blade leading edge to be applied according to the initial design parameters and the environmental parameters, wherein the blade leading edge type at least includes: a bionic concave-convex leading edge;

[0032] Step S206: Determine the objective function corresponding to the blade leading edge type, and determine parameter data of the blade leading edge type based on the objective function and the initial design parameters, wherein the parameter data is used to indicate installation specifications of the blade leading edge on the blade.

[0033] The above steps obtain the initial design parameters of the blade and the environmental parameters of the blade working area; determine the type of blade leading edge to be applied based on the initial design parameters and the environmental parameters, wherein the blade leading edge type includes at least: a bionic concave-convex leading edge; determine the objective function corresponding to the blade leading edge type, and determine the parameter data of the blade leading edge type based on the objective function and the initial design parameters, wherein the parameter data is used to indicate the installation specifications of the blade leading edge on the blade. The above technical solution solves the problem that the blades of wind turbines are prone to dynamic stall. Furthermore, by analyzing the blade design and environmental conditions, the installation specifications of the selected bionic concave-convex leading edge are optimized, the aerodynamic performance and power generation efficiency of the wind turbine blades are significantly improved, the dynamic stall is effectively reduced, and the adaptability of the blades to changing wind speeds is enhanced.

[0034] In an exemplary embodiment, after determining the objective function corresponding to the blade leading edge type and determining the parameter data of the blade leading edge type based on the objective function and the initial design parameters, the method further includes: evaluating the resource consumption cost of using the parameter data of multiple preset production methods to obtain multiple cost results; selecting a target generation method with the least resource consumption from the multiple cost results, and determining the time node for installing the blade leading edge on the blade using the target generation method.

[0035] Optionally, two preset production methods are evaluated: one-piece molding and post-bonding. The one-piece molding method directly forms the leading edge structure during the manufacturing process of the blade, which is usually costly but can ensure structural integrity and precision. The post-bonding method first processes the leading edge structure independently and then bonds it to the blade. The cost is lower, but the requirements for the bonding process and materials are higher. Based on these two preset production methods, a cost model is used to calculate the resource consumption cost, specifically including material cost, labor cost, energy consumption, and possible additional costs (such as the production of special molds). Assume that the cost result of one-piece molding is (C1), and the cost result of post-bonding is (C2). After obtaining multiple cost results, (C1) and (C2) are compared and analyzed, and the production method with the minimum resource consumption is selected as the target generation method. If C2 < C1, that is, the cost of the post-bonding method is lower, then post-bonding is selected as the production method with the best cost-effectiveness. Next, determine the time node for installing the blade leading edge on the blade in the target generation method. For example, if the blade is made of composite materials through the RTM (resin transfer molding) technology, then the installation of the leading edge is carried out after the resin is cured and the main body structure of the blade is formed. At this time, the main body structure of the blade is already stable enough to withstand the bonding process of the leading edge structure. At the same time, the bonding operation can be carried out under relatively mild conditions, reducing the operation difficulty and risk. Through the above implementation steps, not only the blade design is optimized, but also the economy and efficiency of the production process are ensured.

[0036] In an exemplary embodiment, a target function corresponding to the type of blade leading edge is determined, including: identifying the blade span value in the initial design parameters and the blade span position where the chord length distribution changes; substituting the blade span value and the blade span position into a preset basic functional formula to obtain a first functional relationship, where the preset basic functional formula is: C(x) = a n *x n +a (n-1) *x (n-1) +…+a (i) *x (i) +…+a1*x + a0, where C(x) is the blade chord length, i is the blade span position, x is the blade span value, and a (i) is the polynomial coefficient; determine the target function based on the first functional relationship and the second functional relationship, where the second functional relationship is: λ(C) = f(h(C)), h(C) is the amplitude of the blade leading edge, and λ(C) is the wavelength of the blade leading edge.

[0037] Optionally, the chord length distribution of the blade refers to the change in the chord length of the blade along the span direction (from the root to the tip of the blade). This distribution is usually related to the aerodynamic design and structural design of the blade.

[0038] Optionally, the wavelength of the leading edge of the blade refers to the linear distance from the crest to the next identical crest (or from the trough to the next identical trough) of a complete waveform in the concave-convex structure of the leading edge of the blade. In blades with bionic design or specific aerodynamic design, the leading edge is often designed to have a wavy or serrated structure, which can improve the flow characteristics of the blade in the air, reduce turbulence, improve the aerodynamic efficiency of the blade, and in some cases reduce noise and drag. The amplitude of the leading edge of the blade refers to the vertical distance from the crest to the trough in the concave-convex structure of the leading edge of the blade, or in other words, it is the vertical amplitude of the wave in the waveform of the leading edge of the blade. In blades with special aerodynamic designs, the leading edge is often designed with bionic or streamlined concave-convex structures to optimize the interaction between the blade and the air and improve the efficiency and performance of the wind turbine. The size of the amplitude is directly related to the degree of influence of these structures on the airflow. During design, the amplitude is usually optimized together with the wavelength to achieve the best balance point of the aerodynamic performance of the blade.

[0039] Optionally, a third-order polynomial is used as a preset basic function to describe the relationship between the blade chord length C(x) and the blade span value x, that is, C(x) = a 3* x 3 +a 2* x 2 +a1*x+a0. Among them, a3, a2, a1 and a0 are predetermined polynomial coefficients, which are adjusted according to the aerodynamic and structural requirements of the blade. Substitute the blade span position and the blade span value into the above third-order polynomial to obtain the blade chord length at each position, that is, the first functional relationship. Next, the objective function is determined based on the first functional relationship and the second functional relationship (λ(C)=f(h(C))). In this functional relationship, h(C) represents the amplitude of the leading edge of the blade, and λ(C) represents the wavelength of the leading edge of the blade. Through the above implementation steps, the design of the leading edge of the blade can be systematically optimized to ensure that while meeting specific performance indicators, the structural stability and cost-effectiveness of the blade are taken into account.

[0040] In an exemplary embodiment, after determining the parameter data of the blade leading edge type based on the objective function and the initial design parameters, the method further includes: determining the leading edge airfoil amplitude and the leading edge airfoil wavelength of the current blade leading edge type based on the parameter data; and adjusting the generation parameters of the leading edge production equipment according to the leading edge airfoil amplitude and the leading edge airfoil wavelength.

[0041] Optionally, in a blade leading edge design, the leading edge airfoil amplitude of the current blade leading edge type is first determined to be 1.5% of the chord length, and the leading edge airfoil wavelength is 11% of the chord length. Then, these design parameters are converted into actual operating parameters of the production equipment to ensure that the produced blade leading edge structure is completely consistent with the design. For the production method using mold molding, the mold needs to be designed to accurately reflect the amplitude and wavelength of 1.5% and 11%, and the shape and size of the mold must be consistent with the design parameters to ensure that the shape of the produced blade leading edge is accurate. If it is a composite blade, the material laying method and curing conditions are adjusted according to the amplitude and wavelength of the leading edge airfoil, for example, the injection amount and curing temperature of the resin are controlled to ensure that the material thickness and structural strength of the blade leading edge meet the design requirements. If the blade leading edge is manufactured by CNC machine tools or 3D printing technology, parameters such as processing speed, material extrusion amount and path need to be adjusted to accurately replicate the waveform structure in the design while maintaining processing efficiency and quality. Through this series of parameter adjustments and optimizations, not only is it ensured that the design parameters can be accurately implemented in actual production, but it also improves the aerodynamic performance and overall production efficiency of the blades.

[0042] In an exemplary embodiment, the type of blade leading edge to be applied is determined based on initial design parameters and environmental parameters, including: determining a target blade chord length of the blade to be applied based on the initial design parameters; matching the production material of the blade from a preset reference database using the environmental parameters and the target blade chord length, wherein the preset reference database stores a correspondence between multiple sets of environmental parameters and blade chord lengths and blade materials; determining the type of blade leading edge to be applied through the production material, wherein there is a correspondence between the type of blade leading edge and the production material.

[0043] Optionally, in the design of a wind turbine blade, the target working environment is a coastal area with high wind speed and high humidity. The design parameters include: the target chord length (c) is 1.5 meters; the environmental parameters include: the average wind speed is 10m / s, and the air humidity is 85%. First, based on the size of the wind turbine, the power demand and the estimated wind speed range, the target chord length is calculated and determined to be 1.5 meters. The preset reference database is queried, and the performance data and applicability of various materials under different environmental conditions and chord lengths are stored in the database. Based on the wind speed of 10m / s and the humidity of 85%, and the target chord length of 1.5 meters, the database matches the most suitable material as a high-strength, corrosion-resistant composite material, such as glass fiber reinforced plastic (GRP). In the database, it is found that the GRP material matches the specific bionic concave-convex leading edge design to achieve the best aerodynamic performance and structural strength. The above steps can not only design a blade with excellent performance under specific environmental conditions, but also select the most suitable production material, optimize the production process, and ensure that the final blade product not only meets the design goals, but also has the characteristics of high efficiency and low cost.

[0044] In an exemplary embodiment, after obtaining the initial design parameters of the blade and the environmental parameters of the blade working area, the method further includes: determining historical blade reference parameters corresponding to the environmental parameters; comparing the historical blade reference parameters with the initial design parameters; and determining whether to terminate the process of determining parameter data for the blade leading edge type based on the comparison results.

[0045] Optionally, the initial design parameters of the blade include a blade length of 50 meters, and the environmental parameters include a wind speed range of 8m / s to 12m / s, and a humidity range of 70% to 90%. The blade design parameters of a wind turbine with a similar working environment to the target are retrieved from the database, with a wind speed of 8m / s to 12m / s and a humidity of 75% to 85%. The historical blade length is 45 meters, the leading edge airfoil amplitude is 1.8% of the chord length, the leading edge airfoil wavelength is 10% of the chord length, and the material is glass fiber reinforced plastic (GFRP). Comparing the historical blade and the current design, the main differences are the blade length (increased from 45 meters to 50 meters) and the environmental humidity range (expanded from 75% to 85% to 70% to 90%). The airfoil amplitude and wavelength of the leading edge are close to the historical design, but considering the increase in blade size and the expansion of the humidity range, the blade performance may be affected. Based on the above comparison, the increase in blade length requires fine-tuning of the leading edge design to ensure that the blade can still maintain good aerodynamic performance at a larger size. At the same time, the expansion of the humidity range also requires a re-evaluation of material selection and leading edge design to ensure that the blade can maintain structural stability and aerodynamic efficiency at higher humidity. In summary, this process can not only quickly evaluate the design direction based on past experience by comparing historical and current design parameters, but also guide designers to make targeted optimization adjustments when necessary.

[0046] Obviously, the embodiments described above are only some embodiments of the present application, not all embodiments. In order to better understand the above method, the above process is described below in conjunction with the embodiments, but it is not intended to limit the technical solutions of the embodiments of the present application, specifically:

[0047] The optional embodiment of the present application provides an optimization design method for a concave-convex leading edge wind turbine blade to solve the problem that the blades of wind turbines are prone to dynamic stall. Specifically, the concave-convex wavelength and amplitude of the leading edge of the blade are set as a function of the chord length of the airfoil, with an amplitude of 1.5% of the chord length (h=1.5%c) and a wavelength of 11% of the chord length (λ=11%c), aiming to increase the turbulence of the boundary layer and reduce boundary layer separation, thereby increasing lift and reducing drag. At the same time, a polynomial function relationship is adopted between the chord length distribution and the blade span to meet the aerodynamic requirements of different positions. During implementation, the concave-convex leading edge can be integrally formed with the blade or installed by adhesive later. Through CFD simulation and wind tunnel experiments, the optimal functional relationship coefficient is determined to achieve accurate optimization design of the leading edge of the blade, thereby significantly improving the performance and stability of the wind turbine under various wind speed conditions, effectively reducing dynamic stall, enhancing the adaptability of the blade to changing wind speeds, and improving wind energy conversion efficiency.

[0048] Optional, Figure 3 is a schematic diagram of an optimized design of a concave-convex leading edge wind turbine blade according to an embodiment of the present application, such as Figure 3 As shown, Figure 3 The leading edge of the blade is shown in the figure. Its edge presents a bionic concave and convex shape, similar to the structure of a whale fin, which is used to increase the roughness of the blade surface, improve the turbulent characteristics of the boundary layer, reduce the boundary layer separation under the action of wind, and thus increase the lift of the blade and reduce the drag. Figure 3 The key parameters are marked in the figure. The width (c) marked at the top represents the chord length of the airfoil, and the height (h) marked on the left represents the chord length of the airfoil. LE ) represents the amplitude of the leading edge, λ LE Represents the wavelength of the leading edge. These parameters are closely related to the aerodynamic performance of the blade. By accurately determining them, the aerodynamic characteristics of the blade can be optimized.

[0049] Optional, Figure 4 This is a flow chart of an optimization design of a concave-convex leading edge wind turbine blade according to an embodiment of the present application, which specifically includes the following steps:

[0050] Step 1: Parameter collection and analysis. First, collect basic parameters of blade design, such as airfoil shape, size, material properties, and blade weight distribution, and evaluate the operating parameters of the wind turbine, including target speed and power output. Second, record the working environment parameters in detail, including but not limited to average wind speed, wind speed change frequency, turbulence intensity and wind direction change trend, as well as possible extreme weather conditions.

[0051] Step 2: Concave and convex leading edge structure design and parameter setting. Based on the data collected in step 1, the concave and convex structure of the leading edge of the blade is designed in this stage, using bionic principles, such as the shape of whale fins, to increase the aerodynamic roughness of the leading edge of the blade, thereby improving boundary layer flow and reducing wind resistance. Specifically, the functional relationship between the amplitude (h) and the chord length (c) of the airfoil is set to (h = 1.5% c), and the relationship between the wavelength (λ) and the chord length is (λ = 11% c). At the same time, a polynomial function is used to describe the distribution of the chord length (c) with the blade span (x) to ensure that the blade can achieve the best aerodynamic performance at every point from the root to the tip.

[0052] Step 3: Optimize design parameters and process selection. Verify and optimize the parameters set in step 2 through computational fluid dynamics (CFD) simulation and wind tunnel experiments. Specifically, develop an objective function to quantify the aerodynamic performance of the blade, such as lift coefficient, drag coefficient, and power coefficient, and adjust the coefficients in the functional relationship through optimization methods such as genetic algorithms to achieve optimal aerodynamic performance. At the same time, determine the combination method of the concave and convex leading edge with the blade, select an integrated molding process, use the mold to directly form the concave and convex structure during the blade manufacturing process, or choose to install it by gluing it later, first process the concave and convex leading edge and then stick it to the blade.

[0053] Step 4: Implementation and performance verification. According to the optimized design parameters, a blade prototype is manufactured. Advanced composite materials and precision manufacturing technology are used to ensure that the geometry and performance indicators of the blades are consistent with the design goals. The blades are then tested for performance under actual wind field conditions or in a wind tunnel laboratory to collect relevant data, such as lift and drag at different wind speeds, and the dynamic response characteristics of the blades. By comparing the test data with the design expectations, the aerodynamic performance and stability of the blades are evaluated to identify any potential room for improvement. If the test results are satisfactory, the final adjustments before mass production can be made; if they do not meet expectations, return to step 3 to adjust the parameters until the goal of the optimized design is achieved.

[0054] It should be noted that when setting the functional relationship between wavelength, amplitude and chord length, and the polynomial functional relationship between chord length and blade span, it must be based on detailed theoretical analysis and fluid dynamics simulation. Special attention should be paid to the aerodynamic performance, structural strength, weight distribution and production cost of the blades in the process of optimizing the design parameters to ensure that the selected parameters can balance these factors and achieve the best overall benefits. The blade design must fully consider the wind speed, wind direction and climate change conditions in the working environment to ensure the stability of the blade performance in different environments. Especially in terms of controlling dynamic stall, it is necessary to verify the influence of wavelength, amplitude and chord length distribution on the dynamic response of the blade through experiments and simulations to ensure that the blade can effectively avoid stall under changing wind conditions and improve the efficiency of wind energy capture. At the same time, attention should also be paid to the performance of the blades under extreme weather conditions.

[0055] In summary, the optional embodiment of the present application, by imitating the natural form of whale fins, introduces a special concave-convex structure of the leading edge of the blade to improve the aerodynamic performance of the wind turbine blade. Specifically, the leading edge of the blade is designed using the bionic principle, imitating the concave-convex form of the whale fin, and has specific wavelength and amplitude parameters, which present an accurate functional relationship with the chord length of the blade airfoil, that is, the amplitude is 1.5% of the chord length and the wavelength is 11% of the chord length. And by optimizing the polynomial function relationship between the chord length distribution and the blade span, the optimal aerodynamic configuration of the blade at different positions is achieved. This design can significantly increase the boundary layer turbulence of the leading edge of the blade, effectively reduce wind resistance, and improve lift at the same time, thereby significantly enhancing the adaptability of the blade to changing wind speeds, especially in reducing dynamic stalling. It performs well, not only improving the starting efficiency of the wind turbine under low wind speed conditions, but also ensuring its stability and safety in high wind speed environments, and finally achieving a significant improvement in wind energy conversion efficiency, bringing an efficient, stable and economical blade design solution to the field of wind power generation.

[0056] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0057] In this embodiment, a device for determining the leading edge parameters of a blade is also provided, and the device 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 of 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.

[0058] Figure 5 : is a structural block diagram of a device for determining blade leading edge parameters according to an embodiment of the present application, the device comprising:

[0059] An acquisition module 52 is used to acquire initial design parameters of the blade and environmental parameters of the blade working area;

[0060] A first determination module 54 is used to determine the type of blade leading edge to be applied according to the initial design parameters and the environmental parameters, wherein the blade leading edge type at least includes: a bionic concave-convex leading edge;

[0061] The second determination module 56 is used to determine the objective function corresponding to the blade leading edge type, and determine parameter data of the blade leading edge type based on the objective function and the initial design parameters, wherein the parameter data is used to indicate the installation specifications of the blade leading edge on the blade.

[0062] The above device obtains the initial design parameters of the blade and the environmental parameters of the blade working area; determines the type of blade leading edge to be applied according to the initial design parameters and the environmental parameters, wherein the blade leading edge type includes at least: a bionic concave-convex leading edge; determines the objective function corresponding to the blade leading edge type, and determines the parameter data of the blade leading edge type based on the objective function and the initial design parameters, wherein the parameter data is used to indicate the installation specifications of the blade leading edge on the blade. The above technical solution solves the problem that the blades of wind turbines are prone to dynamic stall. Furthermore, by analyzing the blade design and environmental conditions, the installation specifications of the bionic concave-convex leading edge are optimized, the aerodynamic performance and power generation efficiency of the wind turbine blades are significantly improved, the dynamic stall is effectively reduced, and the adaptability of the blades to changing wind speeds is enhanced.

[0063] In an exemplary embodiment, the above-mentioned device also includes: an evaluation module, which is used to determine the objective function corresponding to the blade leading edge type, and after determining the parameter data of the blade leading edge type based on the objective function and the initial design parameters, evaluate the resource consumption cost of using the parameter data of multiple preset production methods to obtain multiple cost results; select the target generation method with the least resource consumption from the multiple cost results, and determine the time node for installing the blade leading edge on the blade by the target generation method.

[0064] In an exemplary embodiment, the second determination module is further used to identify the blade span value and the blade span position of the chord length distribution change in the initial design parameters; the blade span value and the blade span position are substituted into the preset basic function formula to obtain the first functional relationship, wherein the preset basic function formula is: C(x)=a n *x n +a (n-1) *x (n-1) +…+a (i) *x (i) +…+a1*x+a0, C(x) is the blade chord length, i is the blade span position, x is the blade span value, a (i)are polynomial coefficients; the objective function is determined based on the first functional relationship and the second functional relationship, wherein the second functional relationship is: λ(C)=f(h(C)), h(C) is the blade leading edge amplitude, and λ(C) is the blade leading edge wavelength.

[0065] In an exemplary embodiment, the above-mentioned device also includes: a third determination module, which is used to determine the parameter data of the blade leading edge type based on the objective function and the initial design parameters, and then determine the leading edge airfoil amplitude and the leading edge airfoil wavelength of the current blade leading edge type based on the parameter data; and adjust the generation parameters of the leading edge production equipment according to the leading edge airfoil amplitude and the leading edge airfoil wavelength.

[0066] In an exemplary embodiment, the above-mentioned second determination module is also used to determine the target blade chord length to be applied for the blade based on the initial design parameters; use the environmental parameters and the target blade chord length to match the production material of the blade from a preset reference database, wherein the preset reference database stores a correspondence between multiple sets of environmental parameters and blade chord lengths and blade materials; determine the type of blade leading edge to be applied through the production material, wherein there is a correspondence between the type of blade leading edge and the production material.

[0067] In an exemplary embodiment, the above-mentioned device also includes: a comparison module, which is used to obtain the initial design parameters of the blade and the environmental parameters of the blade working area, and then determine the historical blade reference parameters corresponding to the environmental parameters; compare the historical blade reference parameters with the initial design parameters; and determine whether to terminate the process of determining the parameter data for the blade leading edge type based on the comparison results.

[0068] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0069] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0070] S1. Obtaining initial design parameters of the blade and environmental parameters of the blade working area;

[0071] S2. Determine the type of blade leading edge to be applied according to the initial design parameters and the environmental parameters, wherein the blade leading edge type at least includes: a bionic concave-convex leading edge;

[0072] S3. Determine the objective function corresponding to the blade leading edge type, and determine parameter data of the blade leading edge type based on the objective function and the initial design parameters, wherein the parameter data is used to indicate installation specifications of the blade leading edge on the blade.

[0073] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0074] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0075] An embodiment of the present application further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps in any one of the above method embodiments are performed.

[0076] An embodiment of the present application further provides another computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0077] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0078] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0079] S1. Obtaining initial design parameters of the blade and environmental parameters of the blade working area;

[0080] S2. Determine the type of blade leading edge to be applied according to the initial design parameters and the environmental parameters, wherein the blade leading edge type at least includes: a bionic concave-convex leading edge;

[0081] S3. Determine the objective function corresponding to the blade leading edge type, and determine parameter data of the blade leading edge type based on the objective function and the initial design parameters, wherein the parameter data is used to indicate installation specifications of the blade leading edge on the blade.

[0082] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0083] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0084] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0085] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining blade leading edge parameters, characterized in that: include: Obtaining initial design parameters of the blade and environmental parameters of the blade working area; Determine the type of blade leading edge to be applied according to the initial design parameters and the environmental parameters, wherein the blade leading edge type at least includes: a bionic concave-convex leading edge; An objective function corresponding to the blade leading edge type is determined, and parameter data of the blade leading edge type is determined based on the objective function and the initial design parameters, wherein the parameter data is used to indicate installation specifications of the blade leading edge on the blade.

2. The method for determining blade leading edge parameters according to claim 1, characterized in that: After determining the objective function corresponding to the blade leading edge type, and determining parameter data of the blade leading edge type based on the objective function and the initial design parameters, the method further includes: Evaluate resource consumption costs of multiple preset production methods using the parameter data to obtain multiple cost results; A target generation method with the minimum resource consumption is selected from the multiple cost results, and a time node for installing a blade leading edge on the blade by the target generation method is determined.

3. The method for determining blade leading edge parameters according to claim 1, characterized in that: Determining the objective function corresponding to the blade leading edge type includes: Identifying a blade span value in the initial design parameters and a blade span position where the chord length distribution is changed; Substitute the blade span value and the blade span position into a preset basic function formula to obtain a first functional relationship, wherein the preset basic function formula is: C(x)=a n* x n +a (n-1)* x (n-1) +…+a (i) *x (i) +…+a1*x+a0, C(x) is the blade chord length, i is the blade span position, 0≤i≤n, x is the blade span value, a (i) are the polynomial coefficients; The objective function is determined based on the first functional relationship and the second functional relationship, wherein the second functional relationship is: λ(C)=f(h(C)), h(C) is the blade leading edge amplitude, and λ(C) is the blade leading edge wavelength.

4. The method for determining blade leading edge parameters according to claim 1, characterized in that: After determining the parameter data of the blade leading edge type based on the objective function and the initial design parameters, the method further includes: Determine the leading edge airfoil amplitude and the leading edge airfoil wavelength of the current blade leading edge type based on the parameter data; The generation parameters of the leading edge production equipment are adjusted according to the leading edge airfoil amplitude and the leading edge airfoil wavelength.

5. The method for determining blade leading edge parameters according to claim 1, characterized in that: Determining the type of blade leading edge to be applied according to the initial design parameters and the environmental parameters includes: Determining a target blade chord length to be applied for the blade based on the initial design parameters; Using the environmental parameters and the target blade chord length, the production material of the blade is matched from a preset reference database, wherein the preset reference database stores a correspondence between multiple sets of environmental parameters, blade chord lengths, and blade materials; The type of the blade leading edge to be used is determined by the production material, wherein there is a corresponding relationship between the blade leading edge type and the production material.

6. The method for determining blade leading edge parameters according to claim 1, characterized in that: After obtaining the initial design parameters of the blade and the environmental parameters of the blade working area, the method further includes: Determine historical blade reference parameters corresponding to the environmental parameters; comparing the historical blade reference parameters with the initial design parameters; Whether to terminate the process of determining the parameter data of the blade leading edge type is determined according to the comparison result.

7. A device for determining blade leading edge parameters, characterized in that: include: An acquisition module, used to acquire initial design parameters of the blade and environmental parameters of the blade working area; A first determination module is used to determine the type of blade leading edge to be applied according to the initial design parameters and the environmental parameters, wherein the blade leading edge type at least includes: a bionic concave-convex leading edge; The second determination module is used to determine the objective function corresponding to the blade leading edge type, and determine parameter data of the blade leading edge type based on the objective function and the initial design parameters, wherein the parameter data is used to indicate the installation specifications of the blade leading edge on the blade.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 6 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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