Combustion chamber vortex core feature extraction method and device and computer equipment

Abstract

The invention relates to a combustion chamber vortex core feature extraction method and device and computer equipment. The method comprises the following steps: acquiring flow field data of a combustion chamber, and extracting three-dimensional vortex core data based on the flow field data; identifying each piece of plane vortex core data corresponding to the three-dimensional vortex core data; and based on the plane vortex core data, vortex core feature information of the combustion chamber is extracted through a vortex core feature extraction strategy. By adopting the method, the extraction efficiency, the extraction comprehensiveness and the extraction accuracy of the vortex core feature information of the combustion chamber can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of combustion chamber vortex core, and particularly relates to a combustion chamber vortex core feature extraction method and device and computer equipment. BACKGROUND

[0002] As a core component of thermal devices such as aero-engines and industrial gas turbines, the internal flow field structure of a combustion chamber directly determines key performances such as combustion efficiency, temperature distribution, pollutant emission and combustion stability. Among them, the recirculation zone (or vortex core) is a typical feature area in the flow field of the combustion chamber, especially in the combustion chamber using a swirler or other recirculation structure, the vortex core morphology has a significant influence on flame stability, fuel mixing and combustion organization. Therefore, a method for quantitatively extracting geometric feature values of the combustion chamber vortex core is urgently needed to realize objective quantification and standardized description of the flow field structure of the combustion chamber.

[0003] The description of the vortex core in the prior art mostly stays at the qualitative level, and usually uses subjective words such as "wide", "narrow", "flat" and "long" to express, lacking a unified and quantifiable evaluation standard. This description method is difficult to provide accurate basis for combustion chamber design, and is also difficult to reveal the correlation mechanism between the flow field structure and the performance parameters, thereby leading to poor accuracy of feature value identification of the combustion chamber vortex core. SUMMARY

[0004] Therefore, it is necessary to provide a combustion chamber vortex core feature extraction method, device, computer equipment, computer readable storage medium and computer program product in view of the above technical problems.

[0005] In a first aspect, the present application provides a combustion chamber vortex core feature extraction method, comprising:

[0006] obtaining flow field data of a combustion chamber, and extracting three-dimensional vortex core data based on the flow field data;

[0007] identifying each planar vortex core data corresponding to the three-dimensional vortex core data;

[0008] extracting vortex core feature information of the combustion chamber based on each planar vortex core data through a vortex core feature extraction strategy.

[0009] Optionally, the extracting three-dimensional vortex core data based on the flow field data comprises:

[0010] performing point cloud spatial distribution processing on the flow field data to obtain point cloud spatial data corresponding to the flow field data;

[0011] performing edge smoothing and denoising processing on the point cloud spatial data to obtain three-dimensional spatial data;

[0012] Based on the three-dimensional space data, edge recognition algorithm is used to obtain edge three-dimensional data, and the edge three-dimensional data is used as three-dimensional vortex core data.

[0013] Optionally, after the three-dimensional vortex core data is extracted based on the flow field data, the method further includes:

[0014] The three-dimensional feature information corresponding to the three-dimensional vortex core data is extracted through a feature extraction network.

[0015] Based on the three-dimensional feature information, a vortex core shape adaptation strategy is used to adapt the three-dimensional shape type corresponding to the three-dimensional vortex core data; the three-dimensional shape type is an ellipsoid type, a cuboid type, a cylindrical type, etc.

[0016] Optionally, the identification of the plane vortex core data corresponding to each of the three-dimensional vortex core data includes:

[0017] A three-dimensional center vortex core point position corresponding to the three-dimensional vortex core data is identified, and a vortex core coordinate system corresponding to the three-dimensional vortex core data is constructed based on the three-dimensional center vortex core point position.

[0018] Based on the three-dimensional vortex core data, the plane vortex core data of each vortex core section corresponding to the three-dimensional vortex core data is extracted through the vortex core coordinate system according to a section extraction strategy corresponding to the three-dimensional shape type of the three-dimensional vortex core data.

[0019] Optionally, before the vortex core feature information of the combustion chamber is extracted based on each of the plane vortex core data through a vortex core feature extraction strategy, the method further includes:

[0020] Each of the plane vortex core data is subjected to curve fitting processing to obtain each of the optimized plane vortex core data.

[0021] The plane vortex core area corresponding to each of the optimized plane vortex core data is calculated.

[0022] Optionally, the extraction of the vortex core feature information of the combustion chamber based on each of the plane vortex core data through the vortex core feature extraction strategy includes:

[0023] Based on the three-dimensional shape type corresponding to the three-dimensional vortex core data, the plane type corresponding to each of the optimized plane vortex core data is identified, and the feature type contained in each of the optimized plane vortex core data is identified based on the plane type corresponding to each of the optimized plane vortex core data.

[0024] Based on the plane vortex core area corresponding to each of the optimized plane vortex core data, the feature data of the feature type contained in each of the optimized plane vortex core data is extracted according to a feature extraction algorithm corresponding to the plane type corresponding to each of the optimized plane vortex core data.

[0025] Based on the feature data of each feature type, target feature data of each feature type is identified, and the target feature data of all feature types is taken as the vortex core feature information of the combustion chamber.

[0026] In a second aspect, the present application further provides a device for extracting vortex core features of a combustion chamber, comprising:

[0027] An acquisition module is configured to acquire flow field data of the combustion chamber, and extract three-dimensional vortex core data based on the flow field data.

[0028] An identification module is configured to identify plane vortex core data corresponding to the three-dimensional vortex core data.

[0029] An extraction module is configured to extract vortex core feature information of the combustion chamber based on the plane vortex core data by a vortex core feature extraction strategy.

[0030] Optionally, the acquisition module is specifically configured to:

[0031] The flow field data is subjected to point cloud spatial distribution processing to obtain point cloud spatial data corresponding to the flow field data.

[0032] The point cloud spatial data is subjected to edge smoothing and denoising processing to obtain three-dimensional spatial data.

[0033] Based on the three-dimensional spatial data, edge three-dimensional data is obtained by an edge recognition algorithm, and the edge three-dimensional data is taken as the three-dimensional vortex core data.

[0034] Optionally, the device further comprises:

[0035] A three-dimensional feature extraction module is configured to extract three-dimensional feature information corresponding to the three-dimensional vortex core data by a feature extraction network.

[0036] An adaptation module is configured to adapt a three-dimensional shape type corresponding to the three-dimensional vortex core data by a vortex core shape adaptation strategy based on the three-dimensional feature information; the three-dimensional shape type is an ellipsoid type, a cuboid type, a cylindrical type, etc.

[0037] Optionally, the identification module is specifically configured to:

[0038] A three-dimensional center vortex core point position corresponding to the three-dimensional vortex core data is identified, and a vortex core coordinate system corresponding to the three-dimensional vortex core data is constructed based on the three-dimensional center vortex core point position.

[0039] Based on the three-dimensional vortex core data, plane vortex core data of each vortex core section corresponding to the three-dimensional vortex core data is extracted by the vortex core coordinate system according to a section extraction strategy corresponding to the three-dimensional shape type of the three-dimensional vortex core data.

[0040] Optionally, the device further comprises:

[0041] a fitting module configured to perform curve fitting on each of the planar vortex core data to obtain each of the optimized planar vortex core data.

[0042] a calculating module configured to calculate a planar vortex core area corresponding to each of the optimized planar vortex core data.

[0043] Optionally, the extracting module is specifically configured to:

[0044] identify a planar type corresponding to each of the optimized planar vortex core data based on the three-dimensional shape type corresponding to the three-dimensional vortex core data, and identify a feature type contained in each of the optimized planar vortex core data based on the planar type corresponding to each of the optimized planar vortex core data;

[0045] extract feature data of the feature type contained in each of the optimized planar vortex core data based on the planar vortex core area corresponding to each of the optimized planar vortex core data and a feature extraction algorithm corresponding to the planar type corresponding to each of the optimized planar vortex core data;

[0046] identify target feature data of each of the feature types based on the feature data of each of the feature types, and take the target feature data of all the feature types as the vortex core feature information of the combustion chamber.

[0047] In a third aspect, a computer device is provided. The computer device includes a memory and a processor. The memory stores a computer program. The processor implements the steps of the method in any one of the first aspect when executing the computer program.

[0048] In a fourth aspect, a computer readable storage medium is provided. The computer readable storage medium stores a computer program. The computer program, when executed by a processor, implements the steps of the method in any one of the first aspect.

[0049] In a fifth aspect, a computer program product is provided. The computer program product includes a computer program. The computer program, when executed by a processor, implements the steps of the method in any one of the first aspect.

[0050] The aforementioned method, apparatus, and computer equipment for extracting vortex core features in a combustion chamber acquire flow field data of the combustion chamber and extract three-dimensional vortex core data based on the flow field data; identify the planar vortex core data corresponding to the three-dimensional vortex core data; and extract the vortex core feature information of the combustion chamber based on each planar vortex core data through a vortex core feature extraction strategy. This solution proposes a vortex core feature value extraction method suitable for combustion chamber flow fields, which can efficiently identify and quantify vortex core regions by combining flow field data. Furthermore, through intelligent vortex core data analysis, following the order of planar segmentation and feature extraction, it comprehensively analyzes the vortex core feature information of the combustion chamber, improving the extraction efficiency, comprehensiveness, and accuracy of the vortex core feature information of the combustion chamber. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0052] Figure 1 This is a flowchart illustrating a method for extracting combustion chamber vortex core features in one embodiment;

[0053] Figure 2 This is a diagram illustrating the extraction effect of isosurface extraction in one embodiment;

[0054] Figure 3 This is a diagram illustrating the edge smoothing and noise reduction processing effect on point cloud spatial data in one embodiment.

[0055] Figure 4 This is a schematic diagram illustrating the cross-sectional extraction effect of each planar vortex core data in one embodiment;

[0056] Figure 5 This is a diagram illustrating the effect of the combustion chamber vortex core feature information extraction process in one embodiment;

[0057] Figure 6 This is a flowchart illustrating an example of extracting combustion chamber vortex core features in one embodiment;

[0058] Figure 7 This is a structural block diagram of a device for extracting combustion chamber vortex core features in one embodiment;

[0059] Figure 8 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0060] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0061] The combustion chamber vortex core feature extraction method provided by the embodiments of the present application can be applied in the application environment of combustion chamber vortex core feature extraction. The method can be applied to a terminal, which can be, but is not limited to, various personal computers, notebook computers, etc. The terminal can extract vortex core feature values suitable for combustion chamber flow fields, efficiently identify and quantify vortex core regions in combination with flow field data, and comprehensively analyze combustion chamber vortex core feature information in the order of plane splitting and feature extraction through intelligent vortex core data analysis, thereby improving the extraction efficiency, comprehensiveness and accuracy of combustion chamber vortex core feature information.

[0062] In one exemplary embodiment, as shown in Figure 1 A combustion chamber vortex core feature extraction method is provided. The method is applied to a terminal, which includes the following steps S101 to S103. Among them:

[0063] In step S101, flow field data of a combustion chamber is obtained, and three-dimensional vortex core data is extracted based on the flow field data.

[0064] In this embodiment, the terminal obtains the flow field data in the experimental / simulation running process of the combustion chamber in response to the experimental data upload or simulation data upload operation of the staff. Then, the terminal extracts three-dimensional vortex core data based on the flow field data. The vortex core is the recirculation region of the combustion chamber, or the vortex core region formed by the envelope of the velocity, vorticity or pressure contour surface. The three-dimensional vortex core data is the three-dimensional surface structure data surrounded by the outer surface of the recirculation region. The specific extraction process will be described in detail later. In this scheme, the inventors creatively fit the three-dimensional vortex core data into the three-dimensional inner surface data of an ellipsoid. The shape of the vortex core can also be fitted into a cuboid, a cylinder, etc. according to the structure of different combustion chambers.

[0065] In step S102, each plane vortex core data corresponding to the three-dimensional vortex core data is identified.

[0066] In this embodiment, the terminal identifies each plane vortex core data corresponding to the three-dimensional vortex core data. Each plane vortex core data is two-dimensional plane structure data obtained by cross-section extraction of a right-angled Cartesian coordinate system constructed with the vortex core center point corresponding to the three-dimensional vortex core data as the center and the outlet axis direction of the combustion chamber as the X axis. In the coordinate system, the Z direction is the radial direction, and the Y direction is orthogonal to the X and Z directions. The specific identification process will be described in detail later.

[0067] In step S103, vortex core feature information of the combustion chamber is extracted based on the planar vortex core data by a vortex core feature extraction strategy.

[0068] In this embodiment, the terminal extracts vortex core feature information of the combustion chamber based on the planar vortex core data by a vortex core feature extraction strategy. In the case where the vortex core is fitted as an ellipsoid shape, the vortex core feature extraction strategy is to calculate the vortex core feature information of the vortex core by using an elliptical area back calculation formula, which includes but is not limited to characteristic length, characteristic width, and characteristic height, etc.

[0069] Based on the above scheme, by proposing a vortex core feature value extraction method suitable for the flow field of the combustion chamber, the vortex core region can be efficiently identified and quantified in combination with the flow field data, and by intelligent vortex core data analysis, the vortex core feature information of the combustion chamber is comprehensively analyzed in the order of planar splitting and feature extraction, which improves the extraction efficiency, comprehensiveness, and accuracy of the vortex core feature information of the combustion chamber.

[0070] Optionally, based on the flow field data, three-dimensional vortex core data is extracted, including: performing point cloud spatial distribution processing on the flow field data to obtain point cloud spatial data corresponding to the flow field data; performing edge smoothing and denoising processing on the point cloud spatial data to obtain three-dimensional spatial data; based on the three-dimensional spatial data, edge recognition algorithm is used to obtain edge three-dimensional data, and the edge three-dimensional data is taken as the three-dimensional vortex core data.

[0071] In this embodiment, the terminal performs point cloud spatial distribution processing on the flow field data to obtain point cloud spatial data corresponding to the flow field data. Then, as shown in Figure 2 The terminal performs isosurface extraction processing on the preset flow field data value corresponding to the vortex core of the terminal based on the point cloud spatial data to obtain isosurface data corresponding to the point cloud spatial data. That is, as shown in Figure 2 The three-dimensional vortex core isosurface, wherein, due to the uneven distribution of the flow field data and the possible different positions of the preset flow field data value in the combustion chamber, the effect display diagram of the obtained three-dimensional vortex core isosurface may appear complex, irregular, discrete, and edge clustering prominent isosurface data.

[0072] Then, as shown in Figure 3 The terminal performs edge point smoothing processing, edge discrete data denoising processing, and finally data clustering processing on the isosurface data by a three-dimensional image preprocessing program to obtain each clustered isosurface data group, and then the terminal selects the isosurface data group closest to the center position point of the point cloud spatial data to obtain Figure 3The terminal performs spatial plane fitting processing on the isosurface data at the central closed vortex core through a three-dimensional spatial plane fitting program, to obtain three-dimensional spatial data. The three-dimensional spatial data is three-dimensional structure data of a position of the vortex core.

[0073] The terminal identifies the edge three-dimensional data as three-dimensional vortex core data through an edge recognition algorithm based on the three-dimensional spatial data.

[0074] Based on the above scheme, the three-dimensional vortex core is effectively quantified and identified in structure by performing point cloud distribution on the flow field data, then performing smoothing and denoising, and finally performing spatial plane fitting to obtain three-dimensional spatial data, and then identifying three-dimensional vortex core data through an edge recognition algorithm, thereby avoiding the problem of a single dimension and broad structure description lacking unified and quantifiable evaluation standards, and improving the spatial quantification effect of the vortex core.

[0075] Optionally, after extracting the three-dimensional vortex core data based on the flow field data, the method further includes: extracting three-dimensional feature information corresponding to the three-dimensional vortex core data through a feature extraction network; and adapting a three-dimensional shape type corresponding to the three-dimensional vortex core data through a vortex core shape adaptation strategy based on the three-dimensional feature information. The three-dimensional shape type is an ellipsoid type, a cuboid type, a cylindrical type, etc.

[0076] In this embodiment, the terminal extracts three-dimensional feature information corresponding to the three-dimensional vortex core data through a feature extraction network. The feature extraction network is a convolutional neural network based on deep learning for feature extraction of a three-dimensional image. The three-dimensional feature information includes structure edge features, structure vertex features, structure spacing features, and other feature information associated with structure shapes.

[0077] Then, the terminal adapts a three-dimensional shape type corresponding to the three-dimensional vortex core data through a vortex core shape adaptation strategy based on the three-dimensional feature information. The three-dimensional shape type is an ellipsoid type, a cuboid type, a cylindrical type, etc. The vortex core shape adaptation strategy includes a range of three-dimensional feature information corresponding to each three-dimensional shape type, and the terminal adapts the three-dimensional shape type corresponding to the three-dimensional vortex core data through range adaptation.

[0078] Based on the above scheme, the extraction method of the three-dimensional vortex core that should be extracted is identified, and the accuracy of feature extraction of the three-dimensional vortex core is improved.

[0079] Optionally, identifying the planar vortex core data corresponding to the three-dimensional vortex core data comprises: identifying a three-dimensional central vortex core point position corresponding to the three-dimensional vortex core data, and constructing a vortex core coordinate system corresponding to the three-dimensional vortex core data based on the three-dimensional central vortex core point position; and based on the three-dimensional vortex core data, extracting planar vortex core data of each vortex core section corresponding to the three-dimensional vortex core data through the vortex core coordinate system according to a section extraction strategy corresponding to a three-dimensional shape type of the three-dimensional vortex core data. The section extraction strategy corresponding to the three-dimensional shape type is a position screening strategy for extracting a position of a section of the three-dimensional vortex core data.

[0080] In this embodiment, as shown in Figure 4 the terminal identifies a three-dimensional central vortex core point position corresponding to the three-dimensional vortex core data, and constructs a vortex core coordinate system corresponding to the three-dimensional vortex core data based on the three-dimensional central vortex core point position. Then, the terminal extracts planar vortex core data of each vortex core section corresponding to the three-dimensional vortex core data based on the three-dimensional vortex core data through the vortex core coordinate system according to a section extraction strategy corresponding to a three-dimensional shape type of the three-dimensional vortex core data. For example, when the three-dimensional shape of the vortex core is an ellipsoid shape, the section extraction strategy is to extract sections according to planes intersecting the XY axis, planes intersecting the YZ axis, and planes intersecting the XZ axis of the vortex core coordinate system in which the ellipsoid is located, to obtain vortex core sections.

[0081] Based on the above scheme, by extracting planar vortex core data of each vortex core section corresponding to the three-dimensional vortex core data according to a section extraction strategy corresponding to a different three-dimensional shape type, the vortex core characteristics of the three-dimensional vortex core data are subjected to data dimension reduction processing, thereby reducing the extraction difficulty and the extraction time length, and improving the feature extraction efficiency of the vortex core.

[0082] Optionally, before extracting the vortex core characteristic information of the combustion chamber based on the planar vortex core data through the vortex core feature extraction strategy, the method further comprises: performing curve fitting processing on the planar vortex core data to obtain optimized planar vortex core data; and calculating a planar vortex core area corresponding to each optimized planar vortex core data.

[0083] In this embodiment, the terminal performs curve fitting processing on the planar vortex core data to obtain optimized planar vortex core data. Then, the terminal calculates a planar vortex core area corresponding to each optimized planar vortex core data. For example, when the three-dimensional shape type of the vortex core is an ellipsoid, the planar vortex core area corresponding to each optimized planar vortex core data can be obtained by area measurement of the planar vortex core data through a geometric analysis software.

[0084] Based on the above scheme, after the curve fitting processing on the planar vortex core data, the area measurement is performed, so that the area algorithm of the three-dimensional shape type can be combined to deduce the vortex core characteristic information, thereby improving the quantification efficiency and the quantification accuracy of the vortex core characteristic information.

[0085] Optionally, based on the vortex core data of each plane, the vortex core feature information of the combustion chamber is extracted through a vortex core feature extraction strategy, including: based on the three-dimensional shape type corresponding to the three-dimensional vortex core data, identifying the plane type corresponding to each optimized plane vortex core data, and based on the plane type corresponding to each optimized plane vortex core data, identifying the feature type contained in each optimized plane vortex core data; based on the plane vortex core area corresponding to each optimized plane vortex core data, according to the feature extraction algorithm corresponding to the plane type corresponding to each optimized plane vortex core data, the feature data of the feature type contained in each optimized plane vortex core data is extracted; based on the feature data of each feature type, identifying the target feature data of each feature type, and taking the target feature data of all feature types as the vortex core feature information of the combustion chamber.

[0086] In this embodiment, as shown in Figure 5 , the terminal identifies the plane type corresponding to each optimized plane vortex core data based on the three-dimensional shape type corresponding to the three-dimensional vortex core data, and identifies the feature type contained in each optimized plane vortex core data based on the plane type corresponding to each optimized plane vortex core data. For example, the feature type contained in the optimized plane vortex core data of the vertical plane type corresponding to the ellipsoid type includes the feature length type and the feature height type.

[0087] Then, the terminal extracts the feature data of the feature type contained in each optimized plane vortex core data according to the feature extraction algorithm corresponding to the plane type corresponding to each optimized plane vortex core data based on the plane vortex core area corresponding to each optimized plane vortex core data. For example, the optimized plane vortex core data of the vertical plane type of the ellipsoid type shown in Figure 5 has a plane area S xz , and the optimized plane vortex core data can extract the feature data corresponding to the feature length l x and the feature height l z according to the feature extraction algorithm of the vertical plane type.

[0088] Taking the ellipsoid type as an example, the calculation formula of the feature extraction algorithm corresponding to the plane type corresponding to each optimized plane vortex core data is:

[0089]

[0090] In the above formula, S xy is the horizontal plane type, S yz is the cross-sectional plane type, S xz is the vertical plane type, l x is the feature length, l y is the feature width, and l zThe feature height.

[0091] Finally, based on the feature data of each feature type, the terminal identifies the target feature data of each feature type and uses the target feature data of all feature types as the vortex core feature information of the combustion chamber.

[0092] The identification process involves a reverse algorithm for the target feature data of each feature type. The calculation formula for this reverse algorithm is as follows:

[0093]

[0094] In the above formula, S xy For horizontal plane type, S yz For cross-sectional plane type, S xz For vertical plane type, l x For the characteristic length, l y l is the feature width. z The feature height.

[0095] Based on the above scheme, by intelligently identifying the three-dimensional shape type of the vortex core, feature quantification and analysis algorithms corresponding to different three-dimensional shape types are applied to comprehensively analyze the vortex core feature information of the combustion chamber, thereby improving the extraction efficiency, comprehensiveness, and accuracy of the vortex core feature information of the combustion chamber.

[0096] This application also provides an example of extracting combustion chamber vortex core features, such as... Figure 6 As shown, the specific processing procedure includes the following steps:

[0097] Step S601: Obtain the flow field data of the combustion chamber.

[0098] Step S602: Perform point cloud spatial distribution processing on the flow field data to obtain the point cloud spatial data corresponding to the flow field data.

[0099] Step S603: Perform edge smoothing and noise reduction processing on the point cloud spatial data to obtain three-dimensional spatial data.

[0100] Step S604: Based on the three-dimensional spatial data, obtain the edge three-dimensional data through the edge recognition algorithm, and use the edge three-dimensional data as the three-dimensional vortex core data.

[0101] Step S605: Extract the three-dimensional feature information corresponding to the three-dimensional vortex kernel data through a feature extraction network.

[0102] Step S606: Based on the three-dimensional feature information, the three-dimensional shape type corresponding to the three-dimensional vortex data is adapted through the vortex shape adaptation strategy.

[0103] Step S607, a three-dimensional center vortex core point position corresponding to the three-dimensional vortex core data is identified, and a vortex core coordinate system corresponding to the three-dimensional vortex core data is constructed based on the three-dimensional center vortex core point position.

[0104] Step S608, based on the three-dimensional vortex core data, planar vortex core data of each vortex core section corresponding to the three-dimensional vortex core data is extracted through the vortex core coordinate system according to a section extraction strategy corresponding to a three-dimensional shape type of the three-dimensional vortex core data.

[0105] Step S609, curve fitting processing is performed on each planar vortex core data to obtain each optimized planar vortex core data.

[0106] Step S610, a planar vortex core area corresponding to each optimized planar vortex core data is calculated.

[0107] Step S611, based on the three-dimensional shape type corresponding to the three-dimensional vortex core data, a planar type corresponding to each optimized planar vortex core data is identified, and a feature type contained in each optimized planar vortex core data is identified based on the planar type corresponding to each optimized planar vortex core data.

[0108] Step S612, based on the planar vortex core area corresponding to each optimized planar vortex core data, feature data of the feature type contained in each optimized planar vortex core data is extracted according to a feature extraction algorithm corresponding to the planar type corresponding to each optimized planar vortex core data.

[0109] Step S613, based on the feature data of each feature type, target feature data of each feature type is identified, and the target feature data of all feature types is taken as vortex core feature information of the combustion chamber.

[0110] It should be understood that although each step in the flowchart involved in each embodiment as described above is displayed in sequence according to the arrow indication, these steps are not necessarily executed in sequence according to the arrow indication. Unless explicitly stated herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least part of other steps or steps or stages in other steps.

[0111] Based on the same inventive concept, the embodiment of the present application also provides an extraction device for extracting vortex core features of a combustion chamber, which is used to implement the method for extracting vortex core features of a combustion chamber as described above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, and therefore the specific limitations in one or more extraction device embodiments for extracting vortex core features of a combustion chamber provided below can refer to the limitations of the method for extracting vortex core features of a combustion chamber described above, which will not be described here again.

[0112] In one exemplary embodiment, as shown in Figure 7 An extraction device for extracting vortex core features of a combustion chamber is provided, comprising: an acquisition module 710, an identification module 720 and an extraction module 730, wherein:

[0113] The acquisition module 710 is configured to acquire flow field data of a combustion chamber, and extract three-dimensional vortex core data based on the flow field data;

[0114] The identification module 720 is configured to identify each planar vortex core data corresponding to the three-dimensional vortex core data;

[0115] The extraction module 730 is configured to extract vortex core feature information of the combustion chamber by a vortex core feature extraction strategy based on each of the planar vortex core data.

[0116] Optionally, the acquisition module 710 is specifically configured to:

[0117] perform point cloud spatial distribution processing on the flow field data to obtain point cloud spatial data corresponding to the flow field data;

[0118] perform edge smoothing and denoising processing on the point cloud spatial data to obtain three-dimensional spatial data;

[0119] obtain edge three-dimensional data by an edge recognition algorithm based on the three-dimensional spatial data, and take the edge three-dimensional data as the three-dimensional vortex core data.

[0120] Optionally, the device further comprises:

[0121] a three-dimensional feature extraction module configured to extract three-dimensional feature information corresponding to the three-dimensional vortex core data by a feature extraction network;

[0122] an adaptation module configured to adapt a three-dimensional shape type corresponding to the three-dimensional vortex core data by a vortex core shape adaptation strategy based on the three-dimensional feature information; the three-dimensional shape type is an ellipsoid type, a cuboid type, a cylindrical type, etc.

[0123] Optionally, the identification module 720 is specifically configured to:

[0124] identify a three-dimensional central vortex core point position corresponding to the three-dimensional vortex core data, and construct a vortex core coordinate system corresponding to the three-dimensional vortex core data based on the three-dimensional central vortex core point position;

[0125] Based on the three-dimensional vortex core data, the plane vortex core data corresponding to each vortex core section of the three-dimensional vortex core data is extracted through the vortex core coordinate system according to the cross section extraction strategy corresponding to the three-dimensional shape type of the three-dimensional vortex core data.

[0126] Optionally, the device further comprises:

[0127] The fitting module is configured to perform curve fitting processing on each of the plane vortex core data to obtain each optimized plane vortex core data.

[0128] The calculation module is configured to calculate a plane vortex core area corresponding to each of the optimized plane vortex core data.

[0129] Optionally, the extraction module 730 is specifically configured to:

[0130] Based on the three-dimensional shape type corresponding to the three-dimensional vortex core data, identify the plane type corresponding to each optimized plane vortex core data, and based on the plane type corresponding to each optimized plane vortex core data, identify the feature type contained in each optimized plane vortex core data.

[0131] Based on the plane vortex core area corresponding to each optimized plane vortex core data, according to the feature extraction algorithm corresponding to the plane type corresponding to each optimized plane vortex core data, the feature data of the feature type contained in each optimized plane vortex core data is extracted.

[0132] Based on the feature data of each feature type, identify the target feature data of each feature type, and take the target feature data of all feature types as the vortex core feature information of the combustion chamber.

[0133] Each module in the above combustion chamber vortex core feature extraction device can be realized by software, hardware and their combinations. The above modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to call and execute the operations of the above modules by the processor.

[0134] In one exemplary embodiment, a computer device is provided, which can be a terminal, and its internal structure diagram can be as shown in Figure 8As shown in the figure. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. Among them, the processor, the memory and the input / output interface are connected through the system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capability. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with the external terminal in a wired or wireless manner. The wireless manner can be realized through WIFI, mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by the processor to realize a combustion chamber vortex core feature extraction method. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0135] Those skilled in the art can understand that, Figure 8 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0136] In one exemplary embodiment, a computer device is provided, including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to realize the steps of the combustion chamber vortex core feature extraction method.

[0137] In one embodiment, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by the processor to realize the steps of the combustion chamber vortex core feature extraction method.

[0138] In one embodiment, a computer program product is provided, including a computer program, and the computer program is executed by the processor to realize the steps of the combustion chamber vortex core feature extraction method.

[0139] The information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant regulations.

[0140] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing related hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments of each method. In the embodiments provided in the present application, any reference to memory, database or other medium can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric memory (Ferroelectric Random Access Memory, FRAM), phase change memory (Phase Change Memory, PCM), graphene memory, etc. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0141] The technical features of the above embodiments can be combined in any way. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application.

[0142] The above-described embodiments are merely illustrative of several embodiments of the present application, and the description is relatively specific and detailed, but should not be understood as a limitation on the scope of the patent. It should be noted that for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of the present application. Therefore, the scope of protection of the present application should be subject to the appended claims.

Claims

1. A method of extracting a vortex core feature of a combustion chamber, characterized by, The method comprises: acquiring flow field data of a combustion chamber, and extracting three-dimensional vortex core data based on the flow field data; identifying each planar vortex core data corresponding to the three-dimensional vortex core data; extracting vortex core feature information of the combustion chamber based on each planar vortex core data through a vortex core feature extraction strategy.

2. The method of claim 1, wherein, The extraction of the three-dimensional vortex core data based on the flow field data comprises: performing point cloud spatial distribution processing on the flow field data to obtain point cloud spatial data corresponding to the flow field data; performing edge smoothing and denoising processing on the point cloud spatial data to obtain three-dimensional spatial data; obtaining edge three-dimensional data through an edge recognition algorithm based on the three-dimensional spatial data, and taking the edge three-dimensional data as the three-dimensional vortex core data.

3. The method of claim 1, wherein, After the extraction of the three-dimensional vortex core data based on the flow field data, the method further comprises: extracting three-dimensional feature information corresponding to the three-dimensional vortex core data through a feature extraction network; adapting a three-dimensional shape type corresponding to the three-dimensional vortex core data through a vortex core shape adaptation strategy based on the three-dimensional feature information; the three-dimensional shape type is an ellipsoid type, a cuboid type, or a cylinder type.

4. The method of claim 1, wherein, The identification of each planar vortex core data corresponding to the three-dimensional vortex core data comprises: identifying a three-dimensional center vortex core point position corresponding to the three-dimensional vortex core data, and constructing a vortex core coordinate system corresponding to the three-dimensional vortex core data based on the three-dimensional center vortex core point position; extracting each planar vortex core data of a vortex core section corresponding to the three-dimensional vortex core data through the vortex core coordinate system according to a section extraction strategy corresponding to the three-dimensional shape type of the three-dimensional vortex core data.

5. The method of claim 1, wherein, Before the extraction of the vortex core feature information of the combustion chamber based on each planar vortex core data through the vortex core feature extraction strategy, the method further comprises: performing curve fitting processing on each planar vortex core data to obtain each optimized planar vortex core data; calculating a planar vortex core area corresponding to each optimized planar vortex core data.

6. The method of claim 5, wherein, The extraction of the vortex core feature information of the combustion chamber based on each planar vortex core data through the vortex core feature extraction strategy comprises: identifying a planar type corresponding to each optimized planar vortex core data based on the three-dimensional shape type corresponding to the three-dimensional vortex core data, and identifying a feature type contained in each optimized planar vortex core data based on the planar type corresponding to each optimized planar vortex core data; extracting feature data of the feature type contained in each optimized planar vortex core data according to a feature extraction algorithm corresponding to the planar type corresponding to each optimized planar vortex core data based on a planar vortex core area corresponding to each optimized planar vortex core data; identifying target feature data of each feature type based on each feature data of each feature type, and taking the target feature data of all feature types as the vortex core feature information of the combustion chamber.

7. An apparatus for extracting a vortex core feature of a combustion chamber, characterized by, The device comprises: an acquisition module configured to acquire flow field data of a combustion chamber, and extract three-dimensional vortex core data based on the flow field data; an identification module configured to identify each planar vortex core data corresponding to the three-dimensional vortex core data; an extraction module configured to extract vortex core feature information of the combustion chamber based on each planar vortex core data through a vortex core feature extraction strategy.

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method of any one of claims 1 to 6.

9. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method of any one of claims 1 to 6.

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

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