CN117473906B - Wind power cabin post-processing method and medium based on hydrodynamic simulation - Google Patents
Wind power cabin post-processing method and medium based on hydrodynamic simulation Download PDFInfo
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Abstract
The invention discloses a wind power cabin post-processing method and medium based on hydrodynamic simulation, and belongs to the technical field of wind power cabin simulation. The hydrodynamic data simulated by the prior art is abstract and difficult to understand, and changes and trends in the simulation process are not easy to observe and analyze. According to the wind power cabin post-processing method based on the hydrodynamic simulation, cabin fluid simulation results are split by creating a cabin cutting model, a physical change processing model, an airflow change processing model and a post-processing simulation model, so that part change image information and cabin streamline image information can be obtained; and then the part change image information and the cabin streamline image information are coupled together to form cabin visualization information, so that a cabin fluid simulation result is three-dimensionally visible, a user can conveniently know the change and trend in the simulation process, and therefore, the user can quickly understand the cabin fluid simulation result, and is beneficial to quickly making correct decisions and improving design.
Description
Technical Field
The invention relates to a wind power cabin post-processing method and medium based on hydrodynamic simulation, and belongs to the technical field of wind power cabin simulation.
Background
Wind power plants are an important component of renewable energy sources, have increasingly important status and function, and the running and maintenance management demands of the wind power plants are gradually increased, so that in order to optimize maintenance plans and strategies of fans, maintenance downtime and maintenance cost are reduced, maintainability and reliability of the fans are improved, and simulation of wind power plant equipment is generally required through fluid dynamics.
Further, china patent (publication No. CN 115310375A) discloses a wind turbine generator cabin transfer function fitting method based on a fluid dynamic model, which comprises the following steps: s1: taking a steady-state incompressible hydrodynamic momentum conservation equation and a mass conservation equation as a power frame, solving the equation of each network, and finally obtaining a wind flow attribute result, thereby realizing recursion of wind resource characteristics from a wind measuring tower point to each machine position point; s2: collecting at least one wind measurement data of a whole year in a field area, and checking the integrity and rationality of the data; s3: collecting data of the synchronous cabin anemometers of all the machine positions; s4: screening the data: s5: integrating cabin transfer function calculation data; s6: dividing the wind direction into 16 sectors, dividing the sectors into intervals, and respectively calculating the average value of the wind speed in each interval and the average value of the wind speed measured by the cabin anemometer to obtain the cabin transfer function in each sector.
However, the hydrodynamic data simulated by the scheme and the prior art are relatively abstract, are not easy to understand, are not easy to observe and analyze the change and trend in the simulation process, cannot intuitively analyze, evaluate and optimize the wind power cabin, and are not beneficial to users to quickly make correct decisions and improve the design.
Disclosure of Invention
In view of the foregoing or one of the foregoing problems, an object of the present invention is to provide a method for obtaining part variation image information and cabin streamline image information by creating a cabin cutting model, a physical variation processing model, an airflow variation processing model, and a post-processing simulation model to cut cabin fluid simulation results; and then, the part change image information and the cabin streamline image information are coupled together to form cabin visual information, so that a cabin fluid simulation result is three-dimensionally visible, a user can know the change and trend in the simulation process conveniently, and the wind power cabin post-processing method and medium based on the fluid dynamics simulation of the cabin fluid simulation result can be understood rapidly.
In view of the above problems or one of the above problems, the second object of the present invention is to provide a wind turbine nacelle post-processing method and medium based on hydrodynamic simulation, which can cut the nacelle fluid simulation result so that the internal parts can be exposed, and can visualize the nacelle part state and the surrounding environment, and can more easily observe and analyze the variation and trend in the simulation process.
In view of the above problems or one of the above problems, the third objective of the present invention is to provide a wind turbine nacelle post-processing method and medium based on hydrodynamic simulation, which can obtain a part change image of the interior of the nacelle, and by observing the part change image, related personnel can optimize the layout and the positions of components in the nacelle so as to reduce aerodynamic resistance to the greatest extent, thereby being helpful for improving the energy conversion efficiency of the wind turbine, and improving the power generation.
Aiming at the problems or one of the problems, the invention aims to provide a wind turbine cabin post-processing method and medium based on hydrodynamic simulation, which can obtain cabin streamline image information, enable related personnel to observe the airflow distribution and flow characteristics in a wind turbine cabin through post-processing streamline images, and evaluate the air flow condition in the cabin, thereby being beneficial to optimizing the air circulation in the cabin and improving the working efficiency of a wind turbine.
In order to achieve one of the above objects, a first technical solution of the present invention is:
a wind power nacelle post-processing method based on hydrodynamic simulation, comprising the following contents:
Carrying out fluid dynamics simulation on the wind power cabin to obtain a cabin fluid simulation result;
Cutting the cabin fluid simulation result according to the cabin cutting model created in advance to obtain a cabin three-dimensional slice;
processing the cabin three-dimensional slice by using an entity change processing model which is created in advance to obtain part change image information;
processing the cabin three-dimensional slice through an air flow change processing model established in advance to obtain cabin streamline image information;
and coupling the part change image information and the cabin streamline image information together by adopting a pre-established post-processing simulation model to form cabin visualization information, and finishing the post-processing of the wind power cabin based on the hydrodynamic simulation.
The cabin fluid simulation result is split by creating a cabin cutting model, a physical change processing model, an airflow change processing model and a post-processing simulation model, so that part change image information and cabin streamline image information can be obtained; and then the part change image information and the cabin streamline image information are coupled together to form cabin visualization information, so that cabin fluid simulation results are three-dimensionally visible, a user can conveniently know the change and trend in the simulation process, and therefore, the user can quickly understand the cabin fluid simulation results, and further, the wind power cabin simulation results can be intuitively analyzed, evaluated and optimized, the user can quickly make correct decisions and improve the design, and the scheme is scientific and reasonable.
Furthermore, the cabin fluid simulation result can be cut through the cabin cutting model, so that the internal parts can be exposed, the state of the cabin parts and the surrounding environment are visualized, and the change and trend in the simulation process can be observed and analyzed more easily.
Meanwhile, the invention can obtain the part change image in the cabin through the entity change processing model, and related personnel can optimize the layout and the position of the components in the cabin through observing the part change image so as to reduce aerodynamic resistance to the greatest extent, thereby being beneficial to improving the energy conversion efficiency of the wind turbine generator and improving the generating capacity.
According to the invention, through the airflow change processing model, cabin streamline image information can be obtained, related personnel can observe the airflow distribution and flow characteristics in the wind turbine cabin through post-processing streamline images, and the air flow condition in the cabin is estimated, so that the optimization of the air circulation in the cabin is facilitated, and the working efficiency of the wind turbine generator is improved.
Still further, the part change image information may be a cabin part temperature change image or a cabin part wear image or a cabin part skin change image or other change images.
When the part change image information is a cabin part temperature change image, temperature distribution in the cabin can be observed and analyzed, and heat conduction and heat dissipation conditions in the cabin can be evaluated, so that heat dissipation equipment and heat dissipation structures in the cabin can be determined, and the temperature in the cabin can be controlled in a proper range.
As a preferred technical measure:
The method for carrying out hydrodynamic simulation on the wind power cabin comprises the following steps:
step 11, obtaining a wind power cabin fluid dynamics simulation result;
Step 12, dividing the wind power cabin fluid dynamics simulation result to obtain tissue structure and attribute data;
The organization structure comprises a geometric structure and a topological structure;
the geometry is used to describe the spatial positional relationship of the nacelle parts, which is the point data;
The topology is used for describing the formation of cabin parts, and represents the connection relation of point data;
The attribute data includes temperature information, air flow field and texture coordinates;
Step 13, respectively storing the organization structure and the attribute data into a data value array to form grid data of the wind power cabin;
And 14, removing negative influence information in the grid data of the wind power cabin to obtain a cabin fluid simulation result.
As a preferred technical measure:
the method for removing the negative influence information is as follows:
Negative influence information includes bad units, isolated points, degraded units, and meaningless attribute data;
removing bad units in grid data of the wind power cabin by using a topology restoration and topology optimization method;
Removing isolated points in grid data of the wind power cabin by adopting an adjacency analysis and connectivity judgment method;
Removing degradation units in grid data of the wind power cabin by adopting a geometric and numerical constraint method;
and eliminating meaningless attribute data in the grid data of the wind power cabin.
As a preferred technical measure:
the bad units comprise units with incorrect topology, incorrect point surfaces and incorrect numerical values;
the topologically incorrect point surface is a surface comprising non-convex vertices or self-intersecting points;
the units with incorrect values are non-positive units with jacobian less than zero;
The degenerate cells are zero-volume cells comprising degenerate triangles or/and tetrahedrons;
the meaningless attribute data includes a process ID field or/and a unit sequence number field.
As a preferred technical measure:
The method for obtaining the cabin three-dimensional slice according to the cabin cutting model comprises the following steps:
Step 21, based on a grid geometric coordinate system, obtaining an outer envelope frame of a cabin fluid simulation result, and obtaining a cabin grid central axis;
Step 22, according to the outer envelope frame, taking the central axis of the cabin grid as a cutting plane, and cutting the cabin fluid simulation result to obtain a half cabin grid; the half cabin grid comprises at least a half shell grid and a complete internal part grid;
and step 23, coupling the half shell grid and the complete internal part grid together to form the cabin three-dimensional slice.
As a preferred technical measure:
The method for cutting the cabin fluid simulation result comprises the following steps:
Step 221, triangulating the cabin fluid simulation result by adopting a triangulating method to obtain a plurality of triangular patches;
step 222, judging the relative positions of the vertexes of each triangular patch and the boundary of the cutting area according to the central axis of the cabin grid to obtain relation information;
step 223, removing the triangular patches positioned in the cutting area according to the relation information, and reserving the triangular patches positioned outside the cutting area; cutting operation is carried out on the triangular patches intersected with the boundary of the cutting area, and a new triangular patch is generated;
Step 224, the reserved triangular patches are converged with the new triangular patches, and a half cabin grid is obtained.
As a preferred technical measure:
The method for obtaining the part change image information by using the entity change processing model comprises the following steps:
step 31, acquiring temperature information of the cabin three-dimensional slice;
Step 32, assigning the temperature information to the corresponding triangular patches to obtain the temperature triangular patches;
step 33, determining the type of the data unit according to the attribute of the temperature triangular patch;
Step 34, creating an interpolation algorithm model based on the data unit type;
Step 35, interpolating the vertex attribute values of the temperature triangular patches by using an interpolation algorithm model to obtain attribute values corresponding to all pixel points on the temperature triangular patches;
Step 36, calculating the color value of each pixel point by utilizing a color mapping algorithm according to the attribute values, and generating a color image with alternate brightness;
and 37, using the color images with alternate brightness as part change image information to qualitatively or/and quantitatively display and express the temperature distribution condition of cabin parts.
As a preferred technical measure:
the method for calculating the color value by using the color mapping algorithm is as follows:
Creating a color lookup table, wherein the color lookup table comprises a series of color values and a plurality of scalar values;
the color value corresponds to a scalar value;
Obtaining an attribute value corresponding to each pixel point;
when the attribute value is equal to the scalar value, mapping the color value of the pixel point into a color value corresponding to the scalar value;
When the attribute value is larger than the maximum scalar value, mapping the color value of the pixel point into the color value corresponding to the maximum scalar value;
when the attribute value is smaller than the minimum scalar value, the color value of the pixel point is mapped to the color value corresponding to the minimum scalar value.
As a preferred technical measure:
processing the cabin three-dimensional slice through an air flow change processing model established in advance to obtain cabin streamline image information;
Step 41, acquiring an air flow field according to the position information of the cabin three-dimensional slice;
Step 42, calculating the velocity vector of a particle in the air flow field according to the air flow field;
Step 43, adopting a numerical integration algorithm to process the velocity vector to obtain the position information of the particles at a plurality of moments;
Step 44, connecting the plurality of position information to generate a streamline for representing the air flow path;
And 45, forming cabin streamline image information based on the plurality of streamlines, and displaying and expressing the flow direction and the flow speed of the air in the cabin.
In order to achieve one of the above objects, a second technical solution of the present invention is:
A computer readable storage medium having stored thereon a computer program which when executed by a processor implements a wind turbine nacelle post-processing method based on hydrodynamic simulation as described above.
Compared with the prior art, the invention has the following beneficial effects:
The cabin fluid simulation result is split by creating a cabin cutting model, a physical change processing model, an airflow change processing model and a post-processing simulation model, so that part change image information and cabin streamline image information can be obtained; and then the part change image information and the cabin streamline image information are coupled together to form cabin visualization information, so that cabin fluid simulation results are three-dimensionally visible, a user can conveniently and quickly understand the cabin fluid simulation results, and accordingly wind power cabin simulation results can be intuitively analyzed, evaluated and optimized, correct decisions and improved designs can be quickly made by the user, and the scheme is scientific and reasonable.
Furthermore, the cabin fluid simulation result can be cut through the cabin cutting model, so that the internal parts can be exposed, the state of the cabin parts and the surrounding environment are visualized, and the change and trend in the simulation process can be observed and analyzed more easily.
Meanwhile, the invention can obtain the part change image in the cabin through the entity change processing model, and related personnel can optimize the layout and the position of the components in the cabin through observing the part change image so as to reduce aerodynamic resistance to the greatest extent, thereby being beneficial to improving the energy conversion efficiency of the wind turbine generator and improving the generating capacity.
According to the invention, through the airflow change processing model, cabin streamline image information can be obtained, related personnel can observe the airflow distribution and flow characteristics in the wind turbine cabin through post-processing streamline images, and the air flow condition in the cabin is estimated, so that the optimization of the air circulation in the cabin is facilitated, and the working efficiency of the wind turbine generator is improved.
Drawings
FIG. 1 is a first flowchart of a wind turbine nacelle aftertreatment method of the present invention;
FIG. 2 is a second flowchart of a wind turbine nacelle aftertreatment method of the present disclosure;
FIG. 3 is a flow chart of the present invention for data filtering of cabin hydrodynamic simulation results;
FIG. 4 is a schematic representation of the present invention generating streamlines.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
On the contrary, the invention is intended to cover any alternatives, modifications, equivalents, and variations as may be included within the spirit and scope of the invention as defined by the appended claims. Further, in the following detailed description of the present invention, certain specific details are set forth in order to provide a better understanding of the present invention. The present invention will be fully understood by those skilled in the art without the details described herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
As shown in FIG. 1, a first embodiment of the wind turbine nacelle post-treatment method of the present invention:
a wind power nacelle post-processing method based on hydrodynamic simulation, comprising the following contents:
Carrying out fluid dynamics simulation on the wind power cabin to obtain a cabin fluid simulation result;
Cutting the cabin fluid simulation result according to the cabin cutting model created in advance to obtain a cabin three-dimensional slice;
processing the cabin three-dimensional slice by using an entity change processing model which is created in advance to obtain part change image information;
processing the cabin three-dimensional slice through an air flow change processing model established in advance to obtain cabin streamline image information;
and coupling the part change image information and the cabin streamline image information together by adopting a pre-established post-processing simulation model to form cabin visualization information, and finishing the post-processing of the wind power cabin based on the hydrodynamic simulation.
As shown in FIG. 2, a second embodiment of the wind turbine nacelle aftertreatment method of the invention:
A wind power cabin post-processing method based on hydrodynamic simulation obtains wind power cabin grid data by reading and analyzing a hydrodynamic simulation result file; and then carrying out operations such as extraction, cutting, color mapping, streamline generation and the like on the grid data of the wind power cabin so as to carry out visualization and data analysis, wherein the method mainly comprises the following steps of:
The first step: the method for reading the wind power cabin fluid dynamics simulation result file specifically comprises the following steps:
Wind nacelle hydrodynamic simulation results are often stored with different file suffixes due to the different solvers used. Such as: binary formats (such as bin, dat, etc.), and special file formats (such as VTK, MED, CASE, etc.), because different data formats have advantages and disadvantages in terms of storage, loading, advanced processing and application scenes, it is difficult to process such results by adopting a unified method. The fluid dynamics simulation result data is essentially divided into two parts after collection, investigation and arrangement: and organizing structure and attribute data, wherein the organization structure is divided into a topological structure and a geometric structure, the topological structure describes the constitution form of the object, and the geometric structure describes the spatial position relation of the object.
According to the principle, reasonable data structures can be designed for storing simulation result data into a memory, wherein the geometric structure is a point set, and the connection relation of the topological structure representing the point set can be generally divided into linear and nonlinear, and the connection relation comprises pointers pointing to a data value array, stored data length, integer offset of a data index and the number of components of the tuple in the array.
The simulation result can be read and stored into the memory of the computer by using the data structure, so as to prepare for the next data filtering and data processing.
And a second step of: the method comprises the following steps of filtering data of the obtained wind power cabin fluid dynamics simulation result:
After the simulation result is output, unnecessary data is removed except for information necessary for post-processing, and the unnecessary data is generally represented as attribute data which contains a large amount of repeated point coordinate information, repeated unit connection information and meaningless data.
Firstly, removing bad units in grid data of the wind power cabin by using a topology restoration and topology optimization method, wherein the bad units generally refer to units with incorrect topology, such as non-convex vertexes, self-intersecting surfaces and the like, or units with incorrect values, such as units with jacobian less than zero (non-positive), and the like.
Removing isolated points (which are not connected with other points) by adopting a method of adjacency analysis and connectivity judgment, and removing degenerate units (degenerate units with zero volume or geometrically incorrect representation, such as degenerate triangles or tetrahedrons) by adopting a method of geometric and numerical constraint; then, according to the physical rule in the wind power cabin simulation result, eliminating meaningless attribute data such as a process ID field, a unit sequence number field and the like except for a fluid dynamics calculation result (a speed field, a pressure field, a temperature field and the like); the result of the normalized cabin fluid simulation is ultimately obtained for more efficient subsequent calculations and visualization, see fig. 3.
And a third step of: the method mainly comprises the steps of data cutting, color mapping and streamline generation, and is respectively applied to internal detail display of the wind turbine cabin, cabin temperature distribution and change display and cabin internal airflow movement track display.
The data cutting is mainly realized through a cabin cutting model, and specifically comprises the following contents:
The data cutting is mainly used for finding out key parts of an electric control cabinet, a generator, a gear box and the like in a simulation result, and data with key characteristics (physical fields such as temperature, flow speed and the like) are reserved. The wind power cabin simulation result is cut to remove a cabin shell, details of an electric control cabinet, a generator, a gear box and the like in the cabin are exposed, an outer envelope frame of the whole grid is generally calculated based on grid geometric coordinates, a central axis of the cabin grid is taken as a cutting plane position, half of the cabin grid is cut off, and the other half of the cabin grid is reserved as a shell model and a complete internal part grid for observation.
The cutting algorithm in the embodiment adopts a face cutting algorithm, namely, intersection operation is carried out between the edge of a cutting area and a triangular face piece forming a three-dimensional model of the wind power cabin.
The color mapping is mainly realized through an entity change processing model, and specifically comprises the following contents:
the color mapping is to use a color chart with alternate brightness to represent the distribution condition of the flow field according to the size of the attribute data at each point. In the invention, the values of the attribute data temperature fields are mapped with color values, namely, different colors are used for representing different temperature values, so that qualitative and even quantitative display and expression of the temperature distribution condition in the cabin can be realized. Color mapping is a common scalar visualization technique that is a point-to-point mapping process that maps scalar data to colors, i.e., color mapping achieves a mapping of data points to color values, whereas in three-dimensional data visualization, color rendering is commonly used for bins. When the color mapping is carried out on the face element, the color value corresponding to each pixel point on the face element is calculated through an interpolation algorithm, the process can be divided into three steps, and firstly the data unit type of the face element is determined so as to determine the corresponding interpolation algorithm; then, interpolating according to the attribute values of the vertexes of the surface elements to obtain the attribute values corresponding to the pixel points on the surface elements; and finally, calculating the color value of each pixel point through a mapping algorithm of the color value.
Taking color mapping of a cutting plane as an example, since the three-dimensional flow field is in the form of a structure grid, the basic data unit is hexahedron, and after the hexahedron is cut by the plane, the intersecting plane and the side surface of the cut data unit are formed by triangle, quadrilateral and hexagon two-dimensional surface elements. The complexity of the interpolation algorithm is greatly increased by the data set formed by multiple data unit types, and in order to ensure the compatibility between the data units and reduce the complexity of the algorithm in the subsequent data processing, a triangulation method can be adopted to triangulate the data units of the two-dimensional plane, namely, the polygons are uniformly converted into the most basic graphic element triangle surface elements in the two-dimensional graphic elements.
The data type finally output after the three-dimensional data cutting processing is composed of triangulated triangle surface elements. The boundaries of the data units are extracted and drawn, and the data units of the cutting plane are converted into triangles.
The triangularization of the data unit can greatly reduce the complexity of interpolation algorithm in the color mapping, and the interpolation algorithm for different polygons is regulated into the interpolation algorithm for only triangles; in addition, the interpolation algorithm of the triangle is linear calculation compared with other polygon interpolation algorithms, and thus the calculation amount and calculation speed of the algorithm can be reduced to the greatest extent.
According to the interpolation algorithm based on the weight linear combination and the weight expression of the triangular surface element, the interpolation formula of the triangular surface element can be obtained, and the calculation formula is as follows:
Where P is any pixel point on the triangle, W 0,W1,W2 is the weight value of the triangle vertex at its internal pixel point, and P 0,P1,P2 represents the attribute values at the three vertices.
After the attribute value corresponding to each pixel point is obtained, the color corresponding to each pixel point can be obtained through a color mapping algorithm. The scalar mapping process includes defining a color lookup table, obtaining corresponding indexes according to the size of the scalar values, and finally obtaining corresponding color values from the color lookup table according to the indexes, so that one-to-one correspondence between the scalar values and the colors is realized.
The color look-up table is an important part of the color mapping model. A series of color values are included in the color lookup table, with the lookup table corresponding to a range of scalar values. When the attribute data value is larger than the maximum value of the scalar range corresponding to the color, mapping the attribute data into the maximum color value; similarly, when the attribute data value is less than the minimum in the scalar range, then the minimum color value is mapped. Then, let the color lookup table correspond to n scalar values, each represented by index number i.
Then for each attribute data value S i, the calculation formula of its corresponding color index i is as follows:
wherein, Is the minimum in the scalar range; max is the maximum value in the scalar range; n is the number of scalar values; For attribute data values, i is a color index number.
The streamline generation is mainly realized through an airflow change processing model, and specifically comprises the following contents:
the streamline generation adopts a numerical integration method, and can be expressed as the following form when the motion rule of particles in a wind field or a cabin flow field is described by a velocity vector v:
Where f 1 is the velocity vector function, v is the velocity vector, r is the position vector of the point pixel P, and t is the time.
The position vector may be expressed in the following form:
where f 2 is a location function, related to time t.
In order to determine the relationship of the position of the pixel point P with time t, the relationship can be obtained by solving the following differential equation:
And then solving the differential equation to obtain:
Where Δt is the time increment.
For the curve described by the above equation, it is not possible to represent it by an explicit function, in order to obtain the curve, numerical integration is introduced. By adopting the idea of numerical integration, the curve can be represented by dispersing into a plurality of discrete points. As long as the starting point of the curve is given, the positions of the pixel points P at the moments of delta t,2 delta t and 3 delta t … t+delta t can be obtained by adopting a numerical integration method, and the discrete points are connected by adopting a straight line, so that an approximate curve can be obtained, and the method can be seen in fig. 4.
And then the second-order Longgugar tower method is adopted for integration, and the specific calculation formula is as follows:
the method uses the average value of the sum of the vector value of the pixel point P at the time t and the vector value of the pixel point P at the time t+delta t as the vector magnitude at the time t, so that the next point can be calculated.
And further, adopting a post-processing simulation model, coupling the cutting image, the temperature cloud picture and the flow diagram together according to the corresponding relation of the position coordinates to form cabin visual information, and finishing the post-processing of the wind power cabin based on the fluid dynamics simulation.
The invention is applied to a concrete embodiment of post-treatment of a certain wind power cabin:
and obtaining a hydrodynamic simulation result of a certain wind power cabin, wherein the hydrodynamic simulation result comprises key physical field parameters such as temperature, speed field and the like.
Performing data processing on the cabin fluid simulation result by using a data filtering method; cutting a model grid in a cabin fluid simulation result to obtain an internal detail part in an original cabin model for display; the color mapping is carried out on the processed cabin model according to the temperature field value on the grid points, so that the data readability is improved, and the information level is increased; and then, after the initial points are selected based on the speed field values on the grid points and the air inlet is taken as a reference, tracking the streamline according to the guidance of the speed field for each initial point, and calculating the speed and the direction of each point at the instant time by using a numerical integration method so as to obtain the detailed information of the fluid speed and the flow path.
And finally, obtaining various parameter data (such as maximum temperature, average temperature, maximum flow rate, average flow rate, coordinate position where maximum temperature appears and the like of each part) of the wind power cabin simulation result, and simultaneously coupling the processed image data together to form cabin visual information (such as a cutting detail graph, a temperature cloud graph and a flow graph) fused with various graphs, so that the simulation result is more visual and easy to understand.
Through simulation, the cabin details can be clearly seen from the cut images (cabin three-dimensional slice), and the cabin details comprise structural features and position relations of an air inlet, a gear box, an electric control cabinet and an air outlet of the cabin, so that the layout and the positions of components in the cabin can be optimized, aerodynamic resistance can be reduced to the greatest extent, and the wind turbine generator system is beneficial to improving energy conversion efficiency and generating capacity of the wind turbine generator system.
In the temperature cloud chart (part change image information), different colors are adopted to correspond to different temperatures so as to observe and analyze the temperature distribution in the cabin, and the heat conduction and heat dissipation conditions in the cabin are evaluated, so that the heat dissipation equipment and the heat dissipation structure in the cabin can be determined, and the temperature in the cabin can be controlled in a proper range.
Meanwhile, the air outlet is taken as a starting point in the cabin, a plurality of flow lines (cabin flow line image information) with arrows are constructed, and each flow line can intuitively display a fluid flow path so as to observe the air flow distribution and flow characteristics in the wind turbine cabin and evaluate the air flow condition in the cabin, so that the optimization of the air circulation in the cabin is facilitated, and the working efficiency of the wind turbine generator is improved.
In summary, the invention can provide visual, accurate and effective data reference (such as temperature, flow speed and the like) and visualized image information (such as temperature distribution diagram, airflow direction image and the like) of the wind turbine cabin by post-processing the wind turbine cabin, has important significance and effect on the aspects of layout, fan performance evaluation, thermal management, maintenance optimization and the like of a wind power plant, and can improve the efficiency, reliability and economy of a wind power system.
An embodiment of a device for applying the method of the invention:
An electronic device, comprising:
one or more processors;
A storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a method of wind turbine nacelle aftertreatment based on hydrodynamic simulation as described above.
A computer medium embodiment to which the method of the invention is applied:
A computer readable storage medium having stored thereon a computer program which when executed by a processor implements a wind turbine nacelle post-processing method based on hydrodynamic simulation as described above.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as methods, systems, computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described in terms of methods, apparatus (systems), computer program products, flowcharts, and/or block diagrams in accordance with embodiments of the present application. It will be understood that each flowchart of the block diagrams and/or flowchart block diagrams, and combinations of flowcharts and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may 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, create means for implementing the functions specified in the flowchart flow or flows or/and block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows or/and block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (3)
1. A wind power cabin post-treatment method based on hydrodynamic simulation is characterized by comprising the following steps of:
The method comprises the following steps:
Carrying out fluid dynamics simulation on the wind power cabin to obtain a cabin fluid simulation result;
Cutting the cabin fluid simulation result according to the cabin cutting model created in advance to obtain a cabin three-dimensional slice;
processing the cabin three-dimensional slice by using an entity change processing model which is created in advance to obtain part change image information;
processing the cabin three-dimensional slice through an air flow change processing model established in advance to obtain cabin streamline image information;
Coupling the part change image information and the cabin streamline image information together by adopting a pre-established post-processing simulation model to form cabin visual information, and finishing the post-processing of the wind power cabin based on the hydrodynamic simulation;
The method for carrying out hydrodynamic simulation on the wind power cabin comprises the following steps:
Step 11, obtaining a wind power cabin fluid dynamics simulation result;
step 12, dividing the wind power cabin fluid dynamics simulation result to obtain a tissue structure and attribute data;
The organization structure comprises a geometric structure and a topological structure;
the geometry is used to describe the spatial positional relationship of the nacelle parts, which is the point data;
The topology is used for describing the formation of cabin parts, and represents the connection relation of point data;
The attribute data includes temperature information, air flow field and texture coordinates;
step 13, respectively storing the organization structure and the attribute data into a data value array to form grid data of the wind power cabin;
Step 14, removing negative influence information in grid data of the wind power cabin to obtain a cabin fluid simulation result;
the method for removing the negative influence information is as follows:
Negative influence information includes bad units, isolated points, degraded units, and meaningless attribute data;
removing bad units in grid data of the wind power cabin by using a topology restoration and topology optimization method;
Removing isolated points in grid data of the wind power cabin by adopting an adjacency analysis and connectivity judgment method;
Removing degradation units in grid data of the wind power cabin by adopting a geometric and numerical constraint method;
Removing meaningless attribute data in the grid data of the wind power cabin;
the bad units comprise units with incorrect topology, incorrect point surfaces and incorrect numerical values;
the topologically incorrect point surface is a surface comprising non-convex vertices or self-intersecting points;
the units with incorrect values are non-positive units with jacobian less than zero;
The degenerate cells are zero-volume cells comprising degenerate triangles or/and tetrahedrons;
the meaningless attribute data includes a process ID field or/and a unit sequence number field;
The method for obtaining the cabin three-dimensional slice according to the cabin cutting model comprises the following steps:
Step 21, based on a grid geometric coordinate system, calculating an outer envelope frame of a cabin fluid simulation result, and obtaining a cabin grid central axis;
step 22, according to the outer envelope frame, taking the central axis of the cabin grid as a cutting plane, and cutting the cabin fluid simulation result to obtain a half cabin grid; the half cabin grid comprises at least a half shell grid and a complete internal part grid;
step 23, coupling half of the shell grids and the complete internal part grids together to form a cabin three-dimensional slice;
The method for cutting the cabin fluid simulation result comprises the following steps:
step 221, performing triangularization treatment on the cabin fluid simulation result by adopting a triangularization method to obtain a plurality of triangular patches;
step 222, judging the relative positions of the vertexes of each triangular patch and the boundary of the cutting area according to the central axis of the cabin grid to obtain relation information;
step 223, removing the triangular surface patches positioned in the cutting area according to the relation information, and reserving the triangular surface patches positioned outside the cutting area; cutting operation is carried out on the triangular patches intersected with the boundary of the cutting area, and a new triangular patch is generated;
Step 224, converging the reserved triangular patches and the new triangular patches to obtain a half cabin grid;
The method for obtaining the part change image information by using the entity change processing model comprises the following steps:
Step 31, obtaining temperature information of a cabin three-dimensional slice;
Step 32, assigning the temperature information to the corresponding triangular patches to obtain temperature triangular patches;
step 33, determining the type of the data unit according to the attribute of the temperature triangular patch;
Step 34, creating an interpolation algorithm model based on the data unit type;
step 35, interpolating the vertex attribute values of the temperature triangular patches by using an interpolation algorithm model to obtain attribute values corresponding to all pixel points on the temperature triangular patches;
Step 36, calculating the color value of each pixel point by utilizing a color mapping algorithm according to the attribute values, and generating a color image with alternate brightness;
Step 37, using the color images with alternate brightness as part change image information to qualitatively or/and quantitatively display and express the temperature distribution condition of cabin parts;
processing the cabin three-dimensional slice through an air flow change processing model established in advance to obtain cabin streamline image information;
step 41, acquiring an air flow field according to the position information of the cabin three-dimensional slice;
step 42, calculating the velocity vector of a particle in the air flow field according to the air flow field;
step 43, adopting a numerical integration algorithm to process the velocity vector to obtain the position information of the particles at a plurality of moments;
Step 44, connecting the plurality of position information to generate a streamline for representing the air flow path;
And step 45, forming cabin streamline image information based on the plurality of streamlines, and displaying and expressing the flow direction and the flow speed of the air in the cabin.
2. A method of post-processing a wind turbine nacelle based on hydrodynamic simulation as claimed in claim 1 wherein:
the method for calculating the color value by using the color mapping algorithm is as follows:
Creating a color lookup table, wherein the color lookup table comprises a series of color values and a plurality of scalar values;
the color value corresponds to a scalar value;
Obtaining an attribute value corresponding to each pixel point;
when the attribute value is equal to the scalar value, mapping the color value of the pixel point into a color value corresponding to the scalar value;
When the attribute value is larger than the maximum scalar value, mapping the color value of the pixel point into the color value corresponding to the maximum scalar value;
when the attribute value is smaller than the minimum scalar value, the color value of the pixel point is mapped to the color value corresponding to the minimum scalar value.
3. A computer-readable storage medium, characterized by:
a computer program stored thereon, which when executed by a processor, implements a method for post-processing a wind power nacelle based on a hydrodynamic simulation as claimed in any of claims 1-2.
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