Optimization evaluation method and device for gas combustion characteristic determination experiment
By establishing a sample library and an optimal result library, and evaluating the flame state in combination with an image recognition model, an optimization evaluation method is provided for gas combustion characteristics determination experiments, which solves the problem of lack of fuel and combustion-assisted gas ratio reference data and experimental results evaluation in the prior art, and improves the experimental success rate and teaching effect.
Patent Information
- Application Number
- CN202411757031.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-03
- Publication Date
- 2025-03-14
- Estimated Expiration
- 2044-12-03
AI Technical Summary
The existing combustion characteristic testing platform lacks reference data sheets for fuel and combustion-assisted gas ratio, which makes it difficult for users to quickly and accurately find the best ratio. At the same time, it also lacks an evaluation and optimization mechanism for combustion experimental results, which cannot meet the needs of combustion experimental research and teaching.
It provides an optimization evaluation method for gas combustion characteristics determination experiments. By establishing a sample library and controlling variable method, conducting experiments, using ER charts to describe the relationship between experimental results and variables, screening the optimal experimental variable combination, building an optimal result library, and evaluating the flame state through an image recognition model to optimize the experimental plan.
The evaluation and optimization guidance of gas combustion characteristics experiments has been achieved, the experimental success rate has been improved, and it is suitable for gas combustion characteristics determination research and combustion teaching guidance.
Smart Images

Figure CN119623345A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of gas combustion characteristic measurement, and in particular to an optimization evaluation method and device for a gas combustion characteristic measurement experiment. Background Art
[0002] Combustion science is the science that studies combustion phenomena, practice and theory. Combustion science is an important technical foundation course in the teaching plan of energy and power engineering majors in colleges and universities. It is based on the knowledge of chemistry, heat transfer, fluid mechanics and other courses. At present, some combustion characteristic test platforms, although providing a control interface for the ratio of fuel and combustion-supporting gas, do not have a reference data table for the ratio of fuel and combustion-supporting gas, which makes it impossible for users to quickly and accurately find the best ratio during the experiment. At the same time, there is also a lack of evaluation and optimization mechanism for combustion experiment results, which cannot meet the needs of combustion science experimental research and teaching. Summary of the invention
[0003] In view of the deficiencies in the prior art, the present invention provides an optimization evaluation method and device for a gas combustion characteristic measurement experiment, with the aim of providing optimization guidance for the gas combustion characteristic measurement and improving the success rate of the experiment.
[0004] The technical solution adopted by the present invention is as follows:
[0005] The present invention provides an optimization evaluation method for a gas combustion characteristic measurement experiment, comprising the following steps:
[0006] S1. Establish a sample library, including:
[0007] Conduct gas combustion characteristic determination experiments through the control variable method, obtain corresponding experimental results, and add evaluation labels to the experimental results; use ER diagrams to describe the relationship between experimental results and experimental variables;
[0008] The experimental variables include fuel type, fuel flow, fuel pressure, combustion-supporting gas flow, combustion-supporting gas pressure, mixed gas temperature and combustion equipment specifications; the experimental results are characterized by flame state information displayed by the flame combustion image; the evaluation label is a flame quality evaluation obtained by analyzing the flame combustion image;
[0009] S2. Obtain the optimal result library, including:
[0010] Traversing the sample library, and screening out the optimal experimental variable combination corresponding to different screening variable values through the evaluation tags according to the set screening variables, and constructing the optimal result library;
[0011] The screening variables include one or a combination of several of the experimental variables;
[0012] S3, obtaining experimental variable data of the gas combustion characteristic determination experimental scheme to be evaluated, searching for a sample closest to the experimental variable data to be evaluated in the optimal result library, determining whether the experimental variable combination to be evaluated is the optimal combination, and implementing the evaluation of the experimental scheme to be evaluated;
[0013] S4. If it is impossible to search for a sample closest to the experimental variable data to be evaluated in the optimal result library, perform the gas combustion characteristic measurement experiment for the scheme to be evaluated, obtain the corresponding flame combustion image and flame quality evaluation, add the evaluation label to the experimental result of the experimental scheme to be evaluated to form a new sample, and add the new sample to the sample library.
[0014] Further technical solutions are:
[0015] Searching the optimal result library for a sample closest to the experimental variable data to be evaluated, determining whether the combination of experimental variables to be evaluated is the optimal combination, and evaluating the experimental scheme to be evaluated, including:
[0016] If the error between the experimental variable data to be evaluated and the experimental variable values in the closest sample does not exceed the set value, the experimental variable combination of the experimental variable data to be evaluated is considered to be the best ratio, and a qualified evaluation result is fed back;
[0017] If the error between the experimental variable data to be evaluated and one or more experimental variable values in the closest sample exceeds a set value, an optimization scheme for the experimental scheme to be evaluated is given based on the comparison error.
[0018] The flame quality evaluation is obtained by analyzing the flame combustion image, including:
[0019] Using an image recognition model to identify the flame combustion image, and evaluating the experimental results based on the flame state information in the image;
[0020] The image recognition model takes a flame combustion image with an evaluation label added as input and an evaluation prediction category as output, and is obtained based on neural network training and learning.
[0021] The flame state information includes the outer flame height, inner flame height, flow state, and flame color of the flame.
[0022] The establishing of the sample library further includes:
[0023] Define the table structure of the sample library, including field names, data types and constraints. The field names include number, person name, time, the experimental variables, experimental results and evaluation labels;
[0024] Choose storage structure and indexing strategy;
[0025] Use SQL statements to create tables and enter initial data;
[0026] Back up table data regularly.
[0027] A gas combustion characteristics determination experimental device for implementing the method, the device comprising a gas mixing module, a combustion stability demonstration module, a flame propagation speed demonstration module, an image shooting module and an experimental evaluation and optimization guidance module;
[0028] The gas mixing module comprises a combustible gas storage tank and a combustion-supporting gas storage tank, the two storage tanks are respectively connected to the first end of the mixed gas pipeline through a branch, and the second end of the mixed gas pipeline is respectively connected to the combustion stability demonstration module and the flame propagation speed demonstration module;
[0029] The branch connected to the combustible gas storage tank is provided with a gas pressure reducing valve, a gas flow meter, and a gas pressure measuring point in sequence; the branch connected to the combustion-supporting gas storage tank is provided with a combustion-supporting gas pressure reducing valve, a combustion-supporting gas flow meter, and a combustion-supporting gas pressure measuring point in sequence; the mixed gas pipeline is provided with a mixed gas pressure measuring point;
[0030] The combustion stability demonstration module comprises a plurality of flame burners with different cross-sectional sizes, the inlet of each flame burner is respectively connected to the second end of the mixed gas pipeline, and a first flow control valve is arranged on the connecting pipeline;
[0031] The flame propagation speed demonstration module comprises a plurality of transparent combustion tubes with different diameters, the inlet end of each transparent combustion tube is provided with a turbulent burner corresponding to the diameter, the inlet of each turbulent burner is respectively connected to the second end of the mixed gas pipeline, and a second flow control valve is provided on the connecting pipeline; an ignition device is provided at the end of each transparent combustion tube;
[0032] The image shooting module includes a high-definition camera, which is used to shoot the flame burner to obtain the flame combustion image, and is also used to shoot the flame propagation speed demonstration module to obtain the flame propagation speed.
[0033] Further technical solutions are:
[0034] The experimental evaluation and optimization guidance module includes an image recognition module, a data acquisition module, a sample library construction module, an evaluation module and a visualization module;
[0035] The image recognition module recognizes the flame combustion image and outputs experimental result evaluation information;
[0036] The data acquisition module collects experimental data information, including the signals of each measuring point and valve signal during the experiment, fuel information, combustion equipment specification information, the flame combustion image and experimental result evaluation information;
[0037] The combustion equipment specification information includes the diameter of the transparent combustion tube, the type and combustion cross-sectional area of the turbulent burner, and the specifications of the flame burner;
[0038] The sample library construction module organizes the experimental data information into a sample library, and traverses the sample library through a traversal algorithm, and according to the set screening variables and the evaluation tags, screens out the optimal experimental variable combination corresponding to different screening variable values to construct an optimal result library;
[0039] The evaluation module is used to receive the experimental scheme data to be evaluated, search the optimal result library for the sample closest to the experimental variable data to be evaluated, determine whether the combination of experimental variables to be evaluated is the best combination, and evaluate the experimental scheme to be evaluated;
[0040] The visualization module is used for editing, querying and displaying.
[0041] The turbulent burner is of a shutter type, a perforated plate type or a swirl type structure;
[0042] The turbulent flow burner with the swirl structure is provided with a plurality of swirl blades therein. The turbulent flow burner with the swirl structure matched with transparent combustion tubes of different diameters has different numbers and / or shapes of the plurality of swirl blades therein.
[0043] The two ends of the turbulent burner are respectively provided with a first sleeve portion and a second sleeve portion, the first sleeve portion is used for being connected with the mixed gas pipeline gas, and the second sleeve portion is used for being connected with the transparent combustion tube.
[0044] The transparent combustion tube is provided with a spoiler adapted to the tube diameter thereof, and is used for guiding the gas to flow along the transparent combustion tube in a spiral manner.
[0045] The beneficial effects of the present invention are as follows:
[0046] The method of the invention realizes the evaluation and optimization guidance of gas combustion characteristic experiments under various environmental conditions and manual operation schemes, is suitable for gas combustion characteristic measurement research, and is also suitable for combustion teaching guidance, overcoming the shortcomings of existing teaching experiments.
[0047] The device of the present invention can control the generation of mixed gas with preset composition and content through simple flow control and data display, and realize different combustion states through different cross-sectional sizes of pipelines, and can also observe the flame propagation speed in the transparent combustion tube. The overall experiment is safe and controllable, and has strong operability in terms of gas composition, temperature, pressure, flow rate and combustion conditions. It has data collection and analysis functions, makes reasonable evaluation of combustion results, guides operators to optimize combustion processes, and improves the success rate of experiments.
[0048] Other features and advantages of the present invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] Figure 1 Schematic diagram of the process of the embodiment of the present invention.
[0050] Figure 2 Schematic diagram of the structure of the device according to the embodiment of the present invention.
[0051] Figure 3 This is a schematic diagram of the structure of the turbulent burner used in the device of the embodiment of the present invention.
[0052] Figure 4 This is a schematic diagram of the structure of the transparent combustion tube and spoiler used in the device of the embodiment of the present invention.
[0053] In the figure: 1. flammable gas storage tank; 2. combustion-supporting gas storage tank; 3. gas pressure reducing valve; 4. combustion-supporting gas pressure reducing valve; 5. gas flow meter; 6. combustion-supporting gas flow meter; 7. gas pressure measuring point; 8. combustion-supporting gas pressure measuring point; 9. mixed gas pressure measuring point; 10. first flow control valve; 11. flame burner; 12. high-definition camera; 13. second flow control valve; 14. turbulent burner; 141. swirl blade; 142. first socket connection; 143. second socket connection; 15. transparent combustion tube; 16. spoiler; 17. ignition device; 18. display screen; 19. computer. DETAILED DESCRIPTION
[0054] The specific implementation of the present invention is described below with reference to the accompanying drawings.
[0055] Example 1
[0056] See also Figure 1 The optimization evaluation method for the gas combustion characteristics measurement experiment of this embodiment includes the following steps:
[0057] S1. Establish a sample library, including:
[0058] The gas combustion characteristics determination experiment is carried out through the control variable method to obtain the corresponding experimental results, and evaluation labels are added to the experimental results; the ER diagram is used to describe the relationship between the experimental results and the experimental variables;
[0059] The experimental variables include fuel type, fuel flow, fuel pressure, combustion-supporting gas flow, combustion-supporting gas pressure, mixed gas temperature and combustion equipment specifications; the experimental results are represented by the flame state information displayed by the flame combustion image; the evaluation label is the flame quality evaluation obtained by analyzing the flame combustion image;
[0060] Also includes:
[0061] Define the table structure of the sample library, including field names, data types, and constraints. Field names include number, person name, time, experimental variable, experimental result, and evaluation label.
[0062] Choose storage structure and indexing strategy;
[0063] Use SQL statements to create tables and enter initial data;
[0064] Back up table data regularly.
[0065] Among them, the experimental variables and results are organized into data and stored in the sample library, which can be queried by entering commands.
[0066] The flame state information includes the outer flame height, inner flame height, flow state, and flame color of the flame.
[0067] Among them, flame quality evaluation is obtained by analyzing the flame combustion image, including:
[0068] The flame combustion image is identified by using the image recognition model, and the experimental results are evaluated based on the flame state information in the image;
[0069] The image recognition model takes flame combustion images with evaluation labels as input and evaluation prediction categories as output, which is obtained based on neural network training and learning.
[0070] As a specific implementation, the image recognition result is displayed as the flame quality of this experiment, and the evaluation label can be a score or rating. For example, 1 to 5 points are poor combustion stability, indicating that the experimental result is poor; 5 to 7 points are medium combustion stability, indicating that the experimental result is qualified; 7 to 8 points are good combustion stability, indicating that the experimental result is good; 9 to 10 points are excellent combustion stability, indicating that the experimental flame combustion effect is the best.
[0071] As a specific implementation, the image recognition model can be obtained by transfer learning using AlexNet, VGG, models, ResNet models, DenseNet models or SENet models based on convolutional neural networks (CNN).
[0072] S2. Obtain the optimal result library, including:
[0073] Traverse the sample library, and according to the set screening variables, screen out the optimal experimental variable combination corresponding to different screening variable values through evaluation labels, and build the optimal result library;
[0074] Screening variables include one or a combination of several experimental variables.
[0075] As a specific implementation method, the first group of screening variables is fuel type, fuel flow rate and fuel pressure, and the corresponding group A screening variable values are: fuel type is hydrogen, fuel flow rate is 15m / s, and fuel pressure is 3.5Mpa. Under the limitation of group A screening variable values, traverse the sample library and select a group or unit experimental variable combination with the best evaluation label of the experimental result as the optimal experimental variable combination A; then change the screening variable value to obtain group A screening variable value, and in the same way, filter out the optimal experimental variable combination B corresponding to group B screening variable value, and so on, to obtain the optimal result sample under the first group of screening variables. Similarly, filter the optimal experimental variable combination under the first group, the second group...the Nth group of screening variables to form an optimal result library.
[0076] S3. Acquire the experimental variable data of the gas combustion characteristic determination experimental scheme to be evaluated, search for the sample closest to the experimental variable data to be evaluated in the optimal result library, determine whether the experimental variable combination to be evaluated is the optimal combination, and implement the evaluation of the experimental scheme to be evaluated, specifically including:
[0077] If the error between the experimental variable data to be evaluated and the experimental variable values in the closest sample does not exceed the set value, the experimental variable combination of the experimental variable data to be evaluated is considered to be the best ratio, and a qualified evaluation result is fed back;
[0078] If the error between the experimental variable data to be evaluated and one or more experimental variable values in the closest sample exceeds the set value, an optimization plan for the experimental plan to be evaluated is given based on the comparison error.
[0079] The set value is 5%, that is, if the error between the experimental variable data to be evaluated and the experimental variable values in the closest sample does not exceed 5%, it is considered that the experimental variable data to be evaluated is close to the optimal ratio, and a correct ratio signal is fed back.
[0080] Among them, if the error between the experimental variable data to be evaluated and one or more experimental variable values in the closest sample exceeds the set value, the experimental variables in the experimental scheme to be evaluated are adjusted according to the optimal combination based on the comparison error, so as to obtain the optimized scheme.
[0081] S4. If it is impossible to search for the sample closest to the experimental variable data to be evaluated in the optimal result library, conduct a gas combustion characteristic measurement experiment for the scheme to be evaluated, obtain the corresponding flame combustion image and flame quality evaluation, add an evaluation label to the experimental result of the experimental scheme to be evaluated to form a new sample, and add the new sample to the sample library.
[0082] The sample library data of this embodiment can be continuously expanded through practical applications, such as continuously collected and accumulated in teaching experiments or scientific research experiments.
[0083] Through the method of this example, the experimental plan can be evaluated before the experiment, and the adjustment direction of the experimental plan can be obtained based on the comparison results. It is suitable for combustion experiment teaching, and is also suitable for gas combustion characteristics analysis in small and medium-sized enterprises.
[0084] Example 2
[0085] See also Figure 2 , this embodiment provides a gas combustion characteristics determination experimental device for the method described in embodiment 1, the device includes a gas mixing module, a combustion stability demonstration module, a flame propagation speed demonstration module, an image shooting module and an experimental evaluation and optimization guidance module;
[0086] The gas mixing module comprises a combustible gas storage tank 1 and a combustion-supporting gas storage tank 2, the two storage tanks are respectively connected to the first end of the mixed gas pipeline through a branch, and the second end of the mixed gas pipeline is respectively connected to the combustion stability demonstration module and the flame propagation speed demonstration module;
[0087] The branch line connected to the combustible gas storage tank 1 is provided with a gas pressure reducing valve 3, a gas flow meter 5, and a gas pressure measuring point 7 in sequence; the branch line connected to the combustion-supporting gas storage tank 2 is provided with a combustion-supporting gas pressure reducing valve 4, a combustion-supporting gas flow meter 6, and a combustion-supporting gas pressure measuring point 8 in sequence; the mixed gas pipeline is provided with a mixed gas pressure measuring point 9;
[0088] The combustion stability demonstration module comprises a plurality of flame burners 11 with different cross-sectional sizes, the inlet of each flame burner 11 is respectively connected to the second end of the mixed gas pipeline, and a first flow control valve 10 is arranged on the connecting pipeline;
[0089] The flame propagation speed demonstration module comprises a plurality of transparent combustion tubes 15 with different diameters, the inlet end of each transparent combustion tube 15 is provided with a turbulent burner 14 corresponding to the diameter, the inlet of each turbulent burner 14 is respectively connected to the second end of the mixed gas pipeline, and a second flow control valve 13 is provided on the connecting pipeline; an ignition device 17 is provided at the end of each transparent combustion tube 15;
[0090] The image shooting module includes a high-definition camera 12, which is used to shoot the flame burner 11 to obtain a flame combustion image, and is also used to shoot the flame propagation speed demonstration module to obtain the flame propagation speed.
[0091] The experimental evaluation and optimization guidance module includes an image recognition module, a data acquisition module, a sample library construction module, an evaluation module and a visualization module;
[0092] The image recognition module recognizes the flame combustion image and outputs the experimental result evaluation information;
[0093] The data acquisition module collects experimental data information, including the signals of each measuring point and valve during the experiment, fuel information, combustion equipment specification information, flame combustion images and experimental result evaluation information;
[0094] The combustion equipment specification information includes the diameter of the transparent combustion tube 15, the type and combustion cross-sectional area of the turbulent burner 14, and the specifications of the flame burner 11;
[0095] The sample library construction module organizes the experimental data information into a sample library, and traverses the sample library through a traversal algorithm, and according to the set screening variables and evaluation labels, screens out the optimal experimental variable combination corresponding to different screening variable values to construct an optimal result library;
[0096] The evaluation module is used to receive the experimental scheme data to be evaluated, search for the sample closest to the experimental variable data to be evaluated in the optimal result library, determine whether the combination of experimental variables to be evaluated is the best combination, and evaluate the experimental scheme to be evaluated;
[0097] The visualization module is used for editing, querying and displaying.
[0098] The process of conducting a gas combustion characteristic measurement experiment using the device of this embodiment is as follows:
[0099] Under the set experimental variable conditions, after the fuel gas and the combustion-supporting gas are fully mixed in the mixed gas pipeline, a part of them enters the combustion stability demonstration module, which is equipped with three sizes of flame burners 11, large, medium and small, arranged in parallel. The first flow control valve 10 on one of the pipelines is opened and adjusted, the flame burner 11 is ignited and burned, and the high-speed camera mode of the high-definition camera 12 is used to shoot the state of the flame in the flame burner 11. Another part enters the flame propagation speed demonstration module, which is equipped with three diameters of transparent combustion tubes 15, large, medium and small, arranged in parallel. The second flow control valve 13 on one of the pipelines is opened and adjusted to control the flow of the mixed gas in the transparent combustion tube 15. After the ignition device 17 is turned on, the high-speed camera mode of the high-definition camera 12 is used to shoot the flame propagation speed in the transparent combustion tube 15. The information such as the signal of each measuring point and the flow control valve, the diameter of the combustion tube, and the combustion characteristics of the flame is uploaded to the sample library and can be queried through instructions.
[0100] The turbulent burner 14 is of a shutter type, a perforated plate type or a swirl type structure.
[0101] See also Figure 3 For the turbulent burner 14 of the swirl structure, a plurality of swirl blades 141 are arranged therein. In this embodiment, three different sizes of turbulent burners 14, namely large, medium and small, are arranged, respectively. Figure 3As shown in (a), (b) and (c), the turbulent burners 14 of different specifications are used to cooperate with transparent combustion tubes 15 of different diameters, and the number and / or shape of the plurality of swirl blades 141 therein are different.
[0102] Specifically, a first sleeve portion 142 and a second sleeve portion 143 are respectively provided at both ends of the turbulent burner 14 . The first sleeve portion 142 is used for connecting with the mixed gas pipeline gas, and the second sleeve portion 143 is used for connecting with the transparent combustion tube 15 .
[0103] See also Figure 4 The transparent combustion tube 15 is provided with a spoiler 16 adapted to its diameter, which is used to guide the gas to flow in a spiral manner along the transparent combustion tube 15. The sizes of spoiler burners 14 of different specifications are adapted to the cross-section of the transparent combustion tube 15. During the experiment, different swirl combustion results can be obtained by selecting different spoiler burners 14 for ignition tests.
[0104] The hardware part of the experimental evaluation and optimization guidance module includes a computer 19 and a display screen 18 , and each measuring point and valve signal, experimental scheme evaluation results, etc. can be displayed on the display screen 18 .
[0105] The first flow control valve 10 may be a ball valve; the second flow control valve 13 may be a needle valve.
[0106] Those skilled in the art can understand that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention is described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. An optimization evaluation method for gas combustion characteristics measurement experiment, characterized in that: The following steps are involved: S1. Establish a sample library, including: Conduct gas combustion characteristic determination experiments through the control variable method, obtain corresponding experimental results, and add evaluation labels to the experimental results; use ER diagrams to describe the relationship between experimental results and experimental variables; The experimental variables include fuel type, fuel flow, fuel pressure, combustion-supporting gas flow, combustion-supporting gas pressure, mixed gas temperature and combustion equipment specifications; the experimental results are characterized by flame state information displayed by the flame combustion image; the evaluation label is a flame quality evaluation obtained by analyzing the flame combustion image; S2. Obtain the optimal result library, including: Traversing the sample library, and screening out the optimal experimental variable combination corresponding to different screening variable values through the evaluation tags according to the set screening variables, and constructing the optimal result library; The screening variables include one or a combination of several of the experimental variables; S3, obtaining experimental variable data of the gas combustion characteristic determination experimental scheme to be evaluated, searching for a sample closest to the experimental variable data to be evaluated in the optimal result library, determining whether the experimental variable combination to be evaluated is the optimal combination, and implementing the evaluation of the experimental scheme to be evaluated; S4. If it is impossible to search for a sample closest to the experimental variable data to be evaluated in the optimal result library, perform the gas combustion characteristic measurement experiment for the scheme to be evaluated, obtain the corresponding flame combustion image and flame quality evaluation, add the evaluation label to the experimental result of the experimental scheme to be evaluated to form a new sample, and add the new sample to the sample library.
2. The method according to claim 1, characterized in that Searching the optimal result library for a sample closest to the experimental variable data to be evaluated, determining whether the combination of experimental variables to be evaluated is the optimal combination, and evaluating the experimental scheme to be evaluated, including: If the error between the experimental variable data to be evaluated and the experimental variable values in the closest sample does not exceed the set value, the experimental variable combination of the experimental variable data to be evaluated is considered to be the best ratio, and a qualified evaluation result is fed back; If the error between the experimental variable data to be evaluated and one or more experimental variable values in the closest sample exceeds a set value, an optimization scheme for the experimental scheme to be evaluated is given based on the comparison error.
3. The method according to claim 1, characterized in that The flame quality evaluation is obtained by analyzing the flame combustion image, including: Using an image recognition model to identify the flame combustion image, and evaluating the experimental results based on the flame state information in the image; The image recognition model takes a flame combustion image with an evaluation label added as input and an evaluation prediction category as output, and is obtained based on neural network training and learning.
4. The method according to claim 1, characterized in that: The flame state information includes the outer flame height, inner flame height, flow state, and flame color of the flame.
5. The method according to claim 1, characterized in that The establishing of the sample library further includes: Define the table structure of the sample library, including field names, data types and constraints. The field names include number, person name, time, the experimental variables, experimental results and evaluation labels; Choose storage structure and indexing strategy; Use SQL statements to create tables and enter initial data; Back up table data regularly.
6. A gas combustion characteristics measurement experimental device for implementing the method according to any one of claims 1 to 5, characterized in that: The device includes a gas mixing module, a combustion stability demonstration module, a flame propagation speed demonstration module, an image shooting module and an experimental evaluation and optimization guidance module; The gas mixing module comprises a combustible gas storage tank (1) and a combustion-supporting gas storage tank (2), the two storage tanks are respectively connected to a first end of a mixed gas pipeline through a branch line, and the second end of the mixed gas pipeline is respectively connected to a combustion stability demonstration module and a flame propagation speed demonstration module; The branch line connected to the combustible gas storage tank (1) is provided with a gas pressure reducing valve (3), a gas flow meter (5), and a gas pressure measuring point (7) in sequence; the branch line connected to the combustion-supporting gas storage tank (2) is provided with a combustion-supporting gas pressure reducing valve (4), a combustion-supporting gas flow meter (6), and a combustion-supporting gas pressure measuring point (8) in sequence; and the mixed gas pipeline is provided with a mixed gas pressure measuring point (9); The combustion stability demonstration module comprises a plurality of flame burners (11) with different cross-sectional sizes, the inlet of each flame burner (11) is respectively connected to the second end of the mixed gas pipeline, and a first flow control valve (10) is arranged on the connecting pipeline; The flame propagation speed demonstration module comprises a plurality of transparent combustion tubes (15) with different diameters, the inlet end of each transparent combustion tube (15) is provided with a turbulent burner (14) corresponding to the diameter, the inlet of each turbulent burner (14) is respectively connected to the second end of the mixed gas pipeline, and a second flow control valve (13) is provided on the connecting pipeline; and an ignition device (17) is provided at the end of each transparent combustion tube (15); The image shooting module comprises a high-definition camera (12), which is used to shoot the flame burner (11) to obtain the flame combustion image, and is also used to shoot the flame propagation speed demonstration module to obtain the flame propagation speed.
7. The device according to claim 6, characterized in that The experimental evaluation and optimization guidance module includes an image recognition module, a data acquisition module, a sample library construction module, an evaluation module and a visualization module; The image recognition module recognizes the flame combustion image and outputs experimental result evaluation information; The data acquisition module collects experimental data information, including the signals of each measuring point and valve signal during the experiment, fuel information, combustion equipment specification information, the flame combustion image and experimental result evaluation information; The combustion equipment specification information includes the diameter of the transparent combustion tube (15), the type and combustion cross-sectional area of the turbulent burner (14), and the specifications of the flame burner (11); The sample library construction module organizes the experimental data information into a sample library, and traverses the sample library through a traversal algorithm, and according to the set screening variables and the evaluation tags, screens out the optimal experimental variable combination corresponding to different screening variable values to construct an optimal result library; The evaluation module is used to receive the experimental scheme data to be evaluated, search the optimal result library for the sample closest to the experimental variable data to be evaluated, determine whether the combination of experimental variables to be evaluated is the best combination, and evaluate the experimental scheme to be evaluated; The visualization module is used for editing, querying and displaying.
8. The device according to claim 6, characterized in that The turbulent burner (14) is of a shutter type, a perforated plate type or a swirl type structure; The turbulent flow burner (14) with the swirl structure is provided with a plurality of swirl blades (141) therein. The turbulent flow burner (14) with the swirl structure matched with transparent combustion tubes (15) of different diameters has different numbers and / or shapes of the plurality of swirl blades (141) therein.
9. The device according to claim 8, characterized in that The two ends of the turbulent burner (14) are respectively provided with a first sleeve connection portion (142) and a second sleeve connection portion (143); the first sleeve connection portion (142) is used for being connected in coordination with the mixed gas pipeline gas, and the second sleeve connection portion (143) is used for being connected in coordination with the transparent combustion tube (15).
10. The device according to claim 6, characterized in that The transparent combustion tube (15) is provided with a spoiler (16) adapted to the tube diameter thereof, and is used to guide the gas to flow along the transparent combustion tube (15) in a spiral manner.
Citation Information
Patent Citations
Method for estimating a combustion characteristic of a gas that may contain dihydrogen
CN110312933A
Burner performance parameter optimization method based on DOE experiment
CN111241650A
OH-PLIF-based combustion state evaluation method for combustion chamber of air-breathing power device
CN112417607A
Boiler optimization control method based on combustion state prediction model
CN115437245A
Fuel gas simulation combustor combustion control system with video flame analysis device
CN117663183A