Methods, apparatus, and computer equipment for extracting combustion chamber vortex core features

Abstract

This application relates to a method, apparatus, and computer device for extracting vortex core features of a combustion chamber. The method includes: acquiring flow field data of the combustion chamber and extracting three-dimensional vortex core data based on the flow field data; identifying planar vortex core data corresponding to the three-dimensional vortex core data; and extracting vortex core feature information of the combustion chamber based on each planar vortex core data using a vortex core feature extraction strategy. This method improves the efficiency, comprehensiveness, and accuracy of extracting vortex core feature information of the combustion chamber.

Description

Technical Field

[0001] This application relates to the field of combustion chamber vortex core technology, and in particular to a method, apparatus and computer equipment for extracting combustion chamber vortex core features. Background Technology

[0002] As a core component of thermal devices such as aero-engines and industrial gas turbines, the combustion chamber's internal flow field structure directly determines key performance characteristics such as combustion efficiency, temperature distribution, pollutant emissions, and combustion stability. Among these, the recirculation region (or vortex core) is a typical characteristic area in the combustion chamber flow field. Especially in combustion chambers employing cyclones or other organized recirculation structures, the vortex core morphology has a significant impact on flame stability, fuel mixing, and combustion organization. Therefore, there is an urgent need for a method capable of quantitatively extracting the geometric characteristic values ​​of the combustion chamber vortex core to achieve an objective, quantitative, and standardized description of the combustion chamber flow field structure.

[0003] Existing technologies mostly describe vortex cores qualitatively, using subjective terms such as "wide," "narrow," "flat," and "long," lacking unified and quantifiable evaluation standards. This descriptive approach makes it difficult to provide precise basis for combustion chamber design and to reveal the correlation mechanism between flow field structure and performance parameters, resulting in poor accuracy in identifying the characteristic values ​​of combustion chamber vortex cores. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for extracting the vortex core features of a combustion chamber, in order to address the above-mentioned technical problems.

[0005] Firstly, this application provides a method for extracting the vortex core features of a combustion chamber, including:

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

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

[0008] Based on the planar vortex core data, the vortex core feature information of the combustion chamber is extracted using a vortex core feature extraction strategy.

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

[0010] The flow field data is processed by point cloud spatial distribution to obtain the point cloud spatial data corresponding to the flow field data.

[0011] The point cloud spatial data is subjected to edge smoothing and noise reduction processing to obtain three-dimensional spatial data;

[0012] Based on the three-dimensional spatial data, edge three-dimensional data is obtained through an edge recognition algorithm, and the edge three-dimensional data is used as three-dimensional vortex core data.

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

[0014] The feature extraction network extracts the three-dimensional feature information corresponding to the three-dimensional vortex kernel data;

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

[0016] Optionally, identifying the planar vortex core data corresponding to the three-dimensional vortex core data includes:

[0017] Identify the position of the three-dimensional center vortex point corresponding to the three-dimensional vortex core data, and construct the vortex core coordinate system corresponding to the three-dimensional vortex core data based on the position of the three-dimensional center vortex core point;

[0018] Based on the three-dimensional vortex core data, the 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 and according to the section extraction strategy corresponding to the three-dimensional shape type of the three-dimensional vortex core data.

[0019] Optionally, before extracting the vortex core feature information of the combustion chamber based on the planar vortex core data and using a vortex core feature extraction strategy, the method further includes:

[0020] Curve fitting is performed on the plane vortex core data of each plane to obtain the optimized plane vortex core data;

[0021] Calculate the area of ​​the plane vortex core corresponding to each of the optimized plane vortex core data.

[0022] Optionally, the step of extracting vortex core feature information of the combustion chamber based on the planar vortex core data and using a vortex core feature extraction strategy includes:

[0023] 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.

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

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

[0026] Secondly, this application also provides a device for extracting combustion chamber vortex core features, comprising:

[0027] The acquisition module is used to acquire the flow field data of the combustion chamber and extract three-dimensional vortex core data based on the flow field data;

[0028] The identification module is used to identify the planar vortex core data corresponding to the three-dimensional vortex core data;

[0029] The extraction module is used to extract the vortex core feature information of the combustion chamber based on the planar vortex core data and through a vortex core feature extraction strategy.

[0030] Optionally, the acquisition module is specifically used for:

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

[0032] The point cloud spatial data is subjected to edge smoothing and noise reduction processing to obtain three-dimensional spatial data;

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

[0034] Optionally, the device further includes:

[0035] The three-dimensional feature extraction module is used to extract the three-dimensional feature information corresponding to the three-dimensional vortex kernel data through a feature extraction network;

[0036] The adaptation module is used to adapt the three-dimensional shape type corresponding to the three-dimensional vortex kernel data based on the three-dimensional feature information and through a vortex kernel shape adaptation strategy; the three-dimensional shape type is an ellipsoid type, a cuboid type, a cylinder type, etc.

[0037] Optionally, the identification module is specifically used for:

[0038] Identify the position of the three-dimensional center vortex point corresponding to the three-dimensional vortex core data, and construct the vortex core coordinate system corresponding to the three-dimensional vortex core data based on the position of the three-dimensional center vortex core point;

[0039] Based on the three-dimensional vortex core data, the 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 and according to the section extraction strategy corresponding to the three-dimensional shape type of the three-dimensional vortex core data.

[0040] Optionally, the device further includes:

[0041] The fitting module is used to perform curve fitting processing on the plane vortex core data of each plane to obtain optimized plane vortex core data.

[0042] The calculation module is used to calculate the area of ​​the plane vortex core corresponding to each of the optimized plane vortex core data.

[0043] Optionally, the extraction module is specifically used for:

[0044] 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.

[0045] Based on the plane vortex area corresponding to each optimized plane vortex core data, feature data of the feature type contained in each optimized plane vortex core data is extracted according to the feature extraction algorithm corresponding to the plane type of each optimized plane vortex core data.

[0046] Based on the feature data of each feature type, the target feature data of each feature type is identified, and the target feature data of all feature types are used as the vortex core feature information of the combustion chamber.

[0047] Thirdly, this application provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described in any one of the first aspects.

[0048] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[0049] Fifthly, this application provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[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 drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the 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] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0061] The combustion chamber vortex core feature extraction method provided in this application embodiment can be applied to various environments for combustion chamber vortex core feature extraction. This method can be applied to terminals, including but not limited to various personal computers, laptops, etc. Specifically, the terminal proposes a vortex core feature value extraction method suitable for combustion chamber flow fields. This method 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 combustion chamber vortex core feature information.

[0062] In one exemplary embodiment, such as Figure 1 As shown, a method for extracting combustion chamber vortex core features is provided. Taking the application of this method to a terminal as an example, the method includes the following steps S101 to S103. Wherein:

[0063] Step S101: Obtain the flow field data of the combustion chamber, and extract the three-dimensional vortex core data based on the flow field data.

[0064] In this embodiment, the terminal acquires the flow field data during the experimental / simulated operation of the combustion chamber in response to the experimental data upload or simulation data upload operation by the staff. Then, based on the flow field data, the terminal extracts three-dimensional vortex core data. The vortex core is either the recirculation region of the combustion chamber or a vortex core region formed by an equal envelope of velocity, vorticity, or pressure. 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 solution, the inventors creatively fitted 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 shapes such as cuboids and cylinders according to the structure of different combustion chambers.

[0065] Step S102: Identify the planar vortex core data corresponding to the three-dimensional vortex core data.

[0066] In this embodiment, the terminal identifies the planar vortex core data corresponding to the three-dimensional vortex core data. Each planar vortex core data is a two-dimensional planar structure data obtained by extracting cross-sections from a Cartesian coordinate system constructed with the center point of the vortex core corresponding to the three-dimensional vortex core data as the center and the combustion chamber outlet axis as the X-axis. In this 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 explained in detail later.

[0067] Step S103: Based on the vortex core data of each plane, extract the vortex core feature information of the combustion chamber through the vortex core feature extraction strategy.

[0068] In this embodiment, the terminal extracts the vortex core feature information of the combustion chamber based on the vortex core data of each plane through a vortex core feature extraction strategy. Specifically, when the vortex core is fitted to an ellipsoidal shape, the vortex core feature extraction strategy calculates the vortex core feature information using the ellipse area inverse formula. This vortex core feature information includes, but is not limited to, feature length, feature width, and feature height.

[0069] Based on the above scheme, a method for extracting vortex core feature values ​​suitable for combustion chamber flow fields is proposed. This method can efficiently identify and quantify vortex core regions by combining flow field data. Furthermore, through intelligent vortex core data analysis, the method comprehensively analyzes the vortex core feature information of the combustion chamber in the order of planar splitting and feature extraction, thereby improving 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; and using the three-dimensional spatial data, obtaining edge three-dimensional data through an edge recognition algorithm, and using the edge three-dimensional data as three-dimensional vortex core data.

[0071] In this embodiment, the terminal performs point cloud spatial distribution processing on the flow field data to obtain the point cloud spatial data corresponding to the flow field data. Then, as... Figure 2 As shown, based on the point cloud spatial data, the terminal performs isosurface extraction processing on the preset flow field data values ​​corresponding to the vortex core preset on the terminal, to obtain the isosurface data corresponding to the point cloud spatial data. That is... Figure 2 The three-dimensional vortex core isosurface shown is complex, irregular, discrete, and has prominent edge clusters due to the uneven distribution of flow field data and the fact that the preset flow field data values ​​in the combustion chamber may exist at different locations.

[0072] Then, as Figure 3 As shown, the terminal uses a 3D image preprocessing program to first smooth the edge points of the isosurface data, then denoise the discrete edge data, and finally perform data clustering to obtain clustered isosurface data groups. The terminal then selects the isosurface data group closest to the location point of the point cloud spatial data center, resulting in the following... Figure 3The isosurface data at the central closed vortex core is shown. Then, a three-dimensional spatial plane fitting program is used to perform spatial plane fitting processing on this isosurface data at the central closed vortex core to obtain three-dimensional spatial data. This three-dimensional spatial data represents the three-dimensional structural data of the vortex core's location.

[0073] Based on three-dimensional spatial data, the terminal uses an edge recognition algorithm to identify the outer surface edge data of the three-dimensional spatial data, obtains edge three-dimensional data, and uses the edge three-dimensional data as three-dimensional vortex core data.

[0074] Based on the above scheme, the flow field data is distributed into point clouds, then smoothed and denoised, and finally fitted to a spatial plane to obtain three-dimensional spatial data. Then, the three-dimensional vortex core data is identified by an edge recognition algorithm, which effectively quantifies and identifies the structure of the three-dimensional vortex core. This avoids the problem of a single-dimensional broad structure description that lacks a unified and quantifiable evaluation standard, thereby 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 the three-dimensional feature information corresponding to the three-dimensional vortex core data through a feature extraction network; and adapting the 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 ellipsoid type, cuboid type, cylinder type, etc.

[0076] In this embodiment, the terminal extracts the three-dimensional feature information corresponding to the three-dimensional vortex kernel data through a feature extraction network. This feature extraction network is a deep learning-based convolutional neural network used for feature extraction from three-dimensional images. The three-dimensional feature information includes structural edge features, structural vertex features, structural spacing features, and other feature information associated with the structural shape.

[0077] Then, based on the 3D feature information, the terminal adapts the 3D shape type corresponding to the 3D vortex core data through a vortex core shape adaptation strategy. This 3D shape type includes ellipsoids, cuboids, cylinders, etc. The vortex core shape adaptation strategy includes the range of 3D feature information corresponding to each 3D shape type; the terminal adapts the 3D shape type corresponding to the 3D vortex core data through range adaptation.

[0078] Based on the above scheme, the extraction method for the feature extraction of the three-dimensional vortex core is identified, thereby improving the accuracy of feature extraction of the three-dimensional vortex core.

[0079] Optionally, identifying the planar vortex core data corresponding to the 3D vortex core data includes: identifying the position of the 3D central vortex core point corresponding to the 3D vortex core data, and constructing a vortex core coordinate system corresponding to the 3D vortex core data based on the position of the 3D central vortex core point; and extracting the planar vortex core data of each vortex core cross-section corresponding to the 3D vortex core data through the vortex core coordinate system and according to the cross-section extraction strategy corresponding to the 3D shape type of the 3D vortex core data. Here, the cross-section extraction strategy corresponding to the 3D shape type is a position filtering strategy for extracting the cross-section position corresponding to the 3D vortex core data.

[0080] In this embodiment, as Figure 4 As shown, the terminal identifies the location of the 3D center vortex point corresponding to the 3D vortex core data, and constructs a vortex core coordinate system corresponding to the 3D vortex core data based on the location of the 3D center vortex core point. Then, based on the 3D vortex core data, the terminal extracts the planar vortex core data of each vortex core cross-section according to the cross-section extraction strategy corresponding to the 3D shape type of the 3D vortex core data through the vortex core coordinate system. For example, if the 3D shape of the vortex core is an ellipsoid, the cross-section extraction strategy is to extract the cross-section according to the planes intersecting the XY axis, the YZ axis, and the XZ axis of the vortex core coordinate system where the ellipsoid is located, thus obtaining the vortex core cross-section.

[0081] Based on the above scheme, by extracting the planar vortex core data of each vortex core section corresponding to different three-dimensional shape types according to the cross-section extraction strategy, the vortex core features of the three-dimensional vortex core data are extracted, thereby reducing the extraction difficulty and extraction time, and improving the feature extraction efficiency of the vortex core.

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

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

[0084] Based on the above scheme, after curve fitting of the data of each planar vortex core, the area is measured. This allows for the inverse deduction of vortex core feature information by combining the area algorithm of this three-dimensional shape type, thereby improving the quantization efficiency and accuracy of vortex core feature information quantification.

[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: identifying 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 identifying the feature type contained in each optimized plane vortex core data based on the plane type corresponding to each optimized plane vortex core data; extracting 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; identifying the target feature data of each feature type based on the feature data of each feature type, and using the target feature data of all feature types as the vortex core feature information of the combustion chamber.

[0086] In this embodiment, as Figure 5 As shown, the terminal identifies the plane type corresponding to each optimized plane vortex core data based on the 3D shape type corresponding to the 3D vortex core data, and identifies the feature types contained in each optimized plane vortex core data based on the plane type corresponding to each optimized plane vortex core data. For example, the plane type corresponding to an optimized plane vortex core data of the ellipsoid type, and the feature types contained in the optimized plane vortex core data of the vertical plane type include feature length type and feature height type.

[0087] Then, based on the plane vortex area corresponding to each optimized plane vortex core data, the terminal extracts 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 of each optimized plane vortex core data. For example, this Figure 5 The optimized planar vortex core data for the ellipsoid-type vertical plane type shown is the planar area S of the XZ planar vortex core. xz This optimized planar vortex kernel data, using a feature extraction algorithm based on the vertical plane type, can extract features related to the feature length l. x The corresponding feature data and feature height l z The corresponding feature data.

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

[0089]

[0090] 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. 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: Identify the position of the three-dimensional center vortex point corresponding to the three-dimensional vortex core data, and construct the vortex core coordinate system corresponding to the three-dimensional vortex core data based on the position of the three-dimensional center vortex core point.

[0104] Step S608: Based on the three-dimensional vortex core data, using the vortex core coordinate system and the cross-section extraction strategy corresponding to the three-dimensional shape type of the three-dimensional vortex core data, extract the planar vortex core data of each vortex core cross-section corresponding to the three-dimensional vortex core data.

[0105] Step S609: Perform curve fitting processing on the data of each planar vortex core to obtain the optimized data of each planar vortex core.

[0106] Step S610: Calculate the area of ​​the plane vortex core corresponding to each optimized plane vortex core data.

[0107] Step S611: 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.

[0108] Step S612: Based on the plane vortex area corresponding to each optimized plane vortex core data, extract 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 of each optimized plane vortex core data.

[0109] Step S613: Based on the feature data of each feature type, identify the target feature data of each feature type, and use the target feature data of all feature types as the vortex core feature information of the combustion chamber.

[0110] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0111] Based on the same inventive concept, this application also provides a combustion chamber vortex core feature extraction device for implementing the above-described method for extracting combustion chamber vortex core features. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the combustion chamber vortex core feature extraction device provided below can be found in the limitations of the combustion chamber vortex core feature extraction method described above, and will not be repeated here.

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

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

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

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

[0116] Optionally, the acquisition module 710 is specifically used for:

[0117] The flow field data is processed by point cloud spatial distribution to obtain the point cloud spatial data corresponding to the flow field data.

[0118] The point cloud spatial data is subjected to edge smoothing and noise reduction processing to obtain three-dimensional spatial data;

[0119] Based on the three-dimensional spatial data, edge three-dimensional data is obtained through an edge recognition algorithm, and the edge three-dimensional data is used as three-dimensional vortex core data.

[0120] Optionally, the device further includes:

[0121] The three-dimensional feature extraction module is used to extract the three-dimensional feature information corresponding to the three-dimensional vortex kernel data through a feature extraction network;

[0122] The adaptation module is used to adapt the three-dimensional shape type corresponding to the three-dimensional vortex kernel data based on the three-dimensional feature information and through a vortex kernel shape adaptation strategy; the three-dimensional shape type is an ellipsoid type, a cuboid type, a cylinder type, etc.

[0123] Optionally, the identification module 720 is specifically used for:

[0124] Identify the position of the three-dimensional center vortex point corresponding to the three-dimensional vortex core data, and construct the vortex core coordinate system corresponding to the three-dimensional vortex core data based on the position of the three-dimensional center vortex core point;

[0125] Based on the three-dimensional vortex core data, the 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 and according to the section extraction strategy corresponding to the three-dimensional shape type of the three-dimensional vortex core data.

[0126] Optionally, the device further includes:

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

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

[0129] Optionally, the extraction module 730 is specifically used for:

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

[0132] Based on the feature data of each feature type, the target feature data of each feature type is identified, and the target feature data of all feature types are used as the vortex core feature information of the combustion chamber.

[0133] Each module in the aforementioned combustion chamber vortex core feature extraction device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the operations corresponding to each module.

[0134] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 8As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When executed by the processor, the computer program implements a method for extracting combustion chamber vortex core features. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0135] Those skilled in the art will understand that Figure 8 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

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

[0137] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of a method for extracting combustion chamber vortex core features.

[0138] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of a method for extracting combustion chamber vortex core features.

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

[0140] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0141] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0142] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for extracting the characteristics of a combustion chamber vortex core, characterized in that, The method includes: Acquire flow field data in the combustion chamber; The flow field data is processed by point cloud spatial distribution to obtain the point cloud spatial data corresponding to the flow field data. The point cloud spatial data is subjected to edge smoothing and noise reduction processing to obtain three-dimensional spatial data; Based on the three-dimensional spatial data, edge three-dimensional data is obtained through an edge recognition algorithm, and the edge three-dimensional data is used as three-dimensional vortex core data; Identify the position of the three-dimensional center vortex point corresponding to the three-dimensional vortex core data, and construct the vortex core coordinate system corresponding to the three-dimensional vortex core data based on the position of the three-dimensional center vortex core point; Based on the three-dimensional vortex core data, the 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 and according to the section extraction strategy corresponding to the three-dimensional shape type of the three-dimensional vortex core data. 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. Based on the plane vortex area corresponding to each optimized plane vortex core data, feature data of the feature type contained in each optimized plane vortex core data is extracted according to the feature extraction algorithm corresponding to the plane type of each optimized plane vortex core data. Based on the feature data of each feature type, the target feature data of each feature type is identified, and the target feature data of all feature types are used as the vortex core feature information of the combustion chamber.

2. The method according to claim 1, characterized in that, After extracting the three-dimensional vortex core data based on the flow field data, the process further includes: The feature extraction network extracts the three-dimensional feature information corresponding to the three-dimensional vortex kernel data; Based on the three-dimensional feature information, the three-dimensional shape type corresponding to the three-dimensional vortex core data is adapted through the vortex core shape adaptation strategy; the three-dimensional shape type is ellipsoid type, cuboid type, and cylinder type.

3. The method according to claim 1, characterized in that, Before extracting the vortex core feature information of the combustion chamber based on the planar vortex core data and using a vortex core feature extraction strategy, the method further includes: Curve fitting is performed on the plane vortex core data of each plane to obtain the optimized plane vortex core data; Calculate the area of ​​the plane vortex core corresponding to each of the optimized plane vortex core data.

4. A device for extracting the characteristics of a combustion chamber vortex core, characterized in that, The device includes: The acquisition module is used to acquire the flow field data of the combustion chamber; perform point cloud spatial distribution processing on the flow field data to obtain the point cloud spatial data corresponding to the flow field data; perform edge smoothing and noise reduction processing on the point cloud spatial data to obtain three-dimensional spatial data; based on the three-dimensional spatial data, obtain edge three-dimensional data through an edge recognition algorithm, and use the edge three-dimensional data as three-dimensional vortex core data; The identification module is used to identify the position of the three-dimensional center vortex point corresponding to the three-dimensional vortex core data, and construct the vortex core coordinate system corresponding to the three-dimensional vortex core data based on the position of the three-dimensional center vortex core point; based on the three-dimensional vortex core data, through the vortex core coordinate system, and according to the cross-section extraction strategy corresponding to the three-dimensional shape type of the three-dimensional vortex core data, extract the planar vortex core data of each vortex core cross-section corresponding to the three-dimensional vortex core data; The extraction module is used to identify 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 to identify the feature type contained in each optimized plane vortex core data based on the plane type corresponding to each optimized plane vortex core data; to extract 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; to identify the target feature data of each feature type based on the feature data of each feature type, and to use the target feature data of all feature types as the vortex core feature information of the combustion chamber.

5. The apparatus according to claim 4, characterized in that, The device further includes: The three-dimensional feature extraction module is used to extract the three-dimensional feature information corresponding to the three-dimensional vortex kernel data through a feature extraction network; The adaptation module is used to adapt the three-dimensional shape type corresponding to the three-dimensional vortex kernel data based on the three-dimensional feature information and through the vortex kernel shape adaptation strategy; the three-dimensional shape type is ellipsoid type, cuboid type, and cylinder type.

6. The apparatus according to claim 4, characterized in that, The device further includes: The fitting module is used to perform curve fitting processing on the plane vortex core data of each plane to obtain optimized plane vortex core data. The calculation module is used to calculate the area of ​​the plane vortex core corresponding to each of the optimized plane vortex core data.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 3.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 3.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 3.

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