CN117030669B - NO gas concentration detection method and device based on plane laser induced fluorescence, computer equipment and storage medium - Google Patents
NO gas concentration detection method and device based on plane laser induced fluorescence, computer equipment and storage medium Download PDFInfo
- Publication number
- CN117030669B CN117030669B CN202310996586.0A CN202310996586A CN117030669B CN 117030669 B CN117030669 B CN 117030669B CN 202310996586 A CN202310996586 A CN 202310996586A CN 117030669 B CN117030669 B CN 117030669B
- Authority
- CN
- China
- Prior art keywords
- gas
- image information
- fluorescent image
- concentration
- fluorescent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000003860 storage Methods 0.000 title claims abstract description 21
- 238000001499 laser induced fluorescence spectroscopy Methods 0.000 title claims abstract description 16
- 238000001514 detection method Methods 0.000 title claims description 25
- 238000002485 combustion reaction Methods 0.000 claims abstract description 103
- 238000000034 method Methods 0.000 claims abstract description 41
- 238000002073 fluorescence micrograph Methods 0.000 claims abstract description 28
- 238000010791 quenching Methods 0.000 claims abstract description 22
- 230000000171 quenching effect Effects 0.000 claims abstract description 21
- 238000001228 spectrum Methods 0.000 claims abstract description 13
- 230000015654 memory Effects 0.000 claims description 27
- 230000003595 spectral effect Effects 0.000 claims description 8
- 230000001678 irradiating effect Effects 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 4
- 238000012360 testing method Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 7
- IMNFDUFMRHMDMM-UHFFFAOYSA-N N-Heptane Chemical compound CCCCCCC IMNFDUFMRHMDMM-UHFFFAOYSA-N 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- 230000009467 reduction Effects 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 4
- 239000011159 matrix material Substances 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000000605 extraction Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- MWUXSHHQAYIFBG-UHFFFAOYSA-N Nitric oxide Chemical compound O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 description 2
- ATUOYWHBWRKTHZ-UHFFFAOYSA-N Propane Chemical compound CCC ATUOYWHBWRKTHZ-UHFFFAOYSA-N 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000009792 diffusion process Methods 0.000 description 2
- 239000013067 intermediate product Substances 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 238000003915 air pollution Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 238000012625 in-situ measurement Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 239000001294 propane Substances 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/6402—Atomic fluorescence; Laser induced fluorescence
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/645—Specially adapted constructive features of fluorimeters
- G01N21/6456—Spatial resolved fluorescence measurements; Imaging
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
- Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters
Landscapes
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Biochemistry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Optics & Photonics (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
The invention relates to the technical field of combustion test, and discloses a method, a device, computer equipment and a storage medium for detecting NO gas concentration based on planar laser-induced fluorescence, wherein the method can accurately distinguish the difference between the combustion time and the non-combustion time of the gas to be detected by acquiring first fluorescent image information of the gas to be detected when the gas to be detected is not combusted and second fluorescent image information of the gas to be detected at the combustion time, so that the condition of the gas to be detected when the gas to be detected is combusted can be determined; further, according to the first fluorescence image information, the second fluorescence image information and a preset combustion model, corresponding physical parameters during combustion are determined, and collision quenching, boltzmann fraction and spectrum overlapping of the gas to be detected during combustion are determined according to the physical parameters; and finally, according to the physical parameters, the pre-acquired calibration coefficients, the first fluorescent image information, the second fluorescent image information and the preset model, obtaining the concentration of the gas to be detected, wherein the concentration of the gas to be detected removes the influence of physical factors such as collision quenching and the like, and improves the accuracy of the concentration of the gas to be detected.
Description
Technical Field
The invention relates to the technical field of combustion test, in particular to a method and a device for detecting NO gas concentration based on planar laser-induced fluorescence, computer equipment and a storage medium.
Background
NO plane laser induced fluorescence (NO-PLIF) is a laser technique for flow field display, and can obtain two-dimensional distribution of NO molecules in a flow field. The reason for the quantitative measurement of NO by NO-PLIF is that NO molecules are an important intermediate product in the combustion process, and the concentration and distribution thereof can reflect the progress and efficiency of the combustion reaction. The principle of NO-PLIF is that NO molecules in a combustion flow field are excited by laser with specific wavelength to generate fluorescent signals, and the spatial distribution and physical parameters of NO can be obtained through analysis and processing of the fluorescent signals.
In the prior art, the corresponding NO concentration is calculated by utilizing the relation between the NO concentration and the fluorescence intensity, wherein the influence of physical factors such as collision quenching, boltzmann fraction, spectrum overlapping and the like is ignored in the calculation process, and the physical factors are influenced by physical parameters such as temperature, pressure and the like, so that the calculated NO concentration is inaccurate.
Disclosure of Invention
In view of the above, the present invention provides a method, an apparatus, a computer device and a storage medium for detecting NO gas concentration based on planar laser induced fluorescence, so as to solve the problem that NO dead zone of a vehicle is observed and accidents are easy to occur.
In a first aspect, the present invention provides a method for detecting the concentration of NO gas based on planar laser induced fluorescence, the method comprising:
Acquiring first fluorescent image information of the gas to be detected when the gas to be detected is not combusted and second fluorescent image information of the combustion time of the gas to be detected;
Determining physical parameters during combustion according to the first fluorescent image information, the second fluorescent image information and a preset combustion model;
And obtaining the concentration of the marked gas in the gas to be measured according to the physical parameters, the pre-acquired calibration coefficient, the first fluorescent image information, the second fluorescent image information and the preset model, so that the combustion degree of the gas to be measured can be determined according to the concentration of the marked gas, and the marked gas is generated when the gas to be measured is combusted.
The method has the beneficial effects that the first fluorescent image information of the gas to be measured when not combusted and the second fluorescent image information of the gas to be measured when combusted are obtained, so that the distinction between the gas to be measured when combusted and the gas to be measured when not combusted can be accurately distinguished, and the condition of the gas to be measured when combusted can be determined; further, according to the first fluorescence image information, the second fluorescence image information and a preset combustion model, corresponding physical parameters during combustion can be determined, and after the physical parameters are determined, collision quenching, boltzmann fraction and spectrum overlapping of the gas to be detected during combustion are determined according to the physical parameters; and finally, according to the physical parameters, the pre-acquired calibration coefficients, the first fluorescent image information, the second fluorescent image information and the preset model, obtaining the concentration of the gas to be detected, wherein the concentration of the gas to be detected removes the influence of physical factors such as collision quenching and the like, and improves the accuracy of the concentration of the gas to be detected.
In an alternative embodiment, determining the physical parameter during combustion according to the first fluorescence image information, the second fluorescence image information and the preset combustion model specifically includes:
Extracting first fluorescent signal intensity in the first fluorescent image information and second fluorescent signal intensity in the second fluorescent image information;
determining a third fluorescent signal intensity according to the first fluorescent signal intensity and the second fluorescent signal intensity;
and determining physical parameters during combustion according to the third fluorescent signal intensity and a preset combustion model.
The method has the advantages that the first fluorescent signal intensity in the first fluorescent image information and the second fluorescent signal intensity in the second fluorescent image information are extracted, the degree of gas combustion is directly improved by the fluorescent signal intensity, the difference between the gas to be tested before combustion and the difference between the gas to be tested during combustion can be accurately determined according to the first fluorescent signal intensity and the second fluorescent signal intensity, the accuracy of testing is improved, and finally the physical parameters during combustion are determined according to the third fluorescent signal intensity and a preset combustion model.
In an alternative embodiment, the method further comprises:
acquiring laser information for irradiating the gas to be measured, and determining a detuning signal according to the laser information and the gas to be measured;
And determining fourth fluorescence signal intensity according to the first fluorescence signal intensity, the second fluorescence signal intensity and the detuning signal, so as to determine the physical parameters during combustion according to the fourth fluorescence signal intensity and a preset combustion model.
The method has the beneficial effects that laser information for irradiating the gas to be detected is obtained, and a detuning signal is determined according to the laser information and the gas to be detected; on the basis, the fourth fluorescence signal intensity can be determined according to the first fluorescence signal intensity, the second fluorescence signal intensity and the detuning signal, so that the influence of laser irradiation on the fluorescence intensity is reduced, and the accuracy of the concentration of the gas to be detected is improved.
In an alternative embodiment, the method further comprises:
and denoising the fourth fluorescence signal intensity so as to obtain physical parameters during combustion according to the fourth fluorescence signal intensity after denoising and a preset combustion model.
The method has the beneficial effects that the accuracy of fluorescence signal intensity is improved.
In an alternative embodiment, the pre-acquired calibration coefficients are determined by:
The method comprises the steps of obtaining third fluorescent image information of the calibration gas under at least two different gas concentrations and gas concentrations corresponding to the third fluorescent image information;
extracting fifth fluorescence signal intensity in the third fluorescence image information under different gas concentrations;
Determining a concentration signal relationship according to at least two fifth fluorescence signal intensities and corresponding gas concentrations;
And determining a calibration coefficient according to the concentration signal relation and a preset model.
The method has the advantages that the concentration signal relation between the gas concentration and the fluorescence image information can be determined according to the fluorescence image information of the calibration gas under different concentrations and the corresponding known gas concentration, and on the basis, the calibration coefficient is determined according to the concentration signal relation and the preset model.
In an alternative embodiment, obtaining the standard gas concentration of the gas to be measured according to the physical parameter, the pre-acquired calibration coefficient, the first fluorescent image information, the second fluorescent image information and the preset model specifically includes:
Determining initial calibration gas concentration according to the calibration coefficient, the first fluorescent image information, the second fluorescent image information and a preset model;
determining collision quenching and a Boltzmann score and spectral overlap according to the physical parameters;
And removing collision quenching, a Boltzmann fraction and spectrum overlapping in the initial calibration gas concentration to obtain the calibration gas concentration.
The method has the advantages that after the physical parameters are determined, the actual condition of the gas to be detected in the combustion process can be accurately determined, so that after the initial gas concentration to be detected is obtained according to the calibration coefficient, the first fluorescent image information, the second fluorescent image information and the preset model, errors of the gas concentration caused by collision quenching, boltzmann fraction and spectrum overlapping determined according to the physical parameters are removed, and finally accurate gas attack and reading to be detected is obtained.
In an alternative embodiment, the physical parameters include temperature, pressure, and gas concentration.
The method has the beneficial effects that the accuracy of the concentration of the gas to be detected is improved.
In a second aspect, the present invention provides a NO gas concentration detection apparatus based on planar laser induced fluorescence, the apparatus comprising:
The information acquisition module is used for acquiring first fluorescent image information of the gas to be detected when the gas to be detected is not combusted and second fluorescent image information of the combustion time of the gas to be detected;
Determining physical parameters during combustion according to the first fluorescent image information, the second fluorescent image information and a preset combustion model;
And obtaining the concentration of the marked gas in the gas to be measured according to the physical parameters, the pre-acquired calibration coefficient, the first fluorescent image information, the second fluorescent image information and the preset model, so that the combustion degree of the gas to be measured can be determined according to the concentration of the marked gas, and the marked gas is generated when the gas to be measured is combusted.
In a third aspect, the present invention provides a computer device comprising: the gas concentration detection device comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions, so that the gas concentration detection method according to the first aspect or any corresponding embodiment of the first aspect is executed.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon computer instructions for causing a computer to execute the gas concentration detection method of the first aspect or any one of the embodiments corresponding thereto.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a gas concentration detection method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of yet another gas concentration detection method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a gas concentration detection method according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of another gas concentration detection method according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a gas concentration detection method according to an embodiment of the present invention;
FIGS. 6 a-6 f are schematic diagrams of a gas concentration detection method according to embodiments of the present invention;
fig. 7 is a block diagram of a gas concentration detection apparatus according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In accordance with an embodiment of the present invention, there is provided a gas concentration detection method embodiment, it being noted that the steps shown in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order other than that shown or described herein.
NO plane laser induced fluorescence (NO-PLIF) is a laser technique for flow field display, and can obtain two-dimensional distribution of NO molecules in a flow field.
The reason for the quantitative measurement of NO by NO-PLIF is that NO molecules are an important intermediate product in the combustion process, and the concentration and distribution thereof can reflect the progress and efficiency of the combustion reaction. The principle of NO-PLIF is that NO molecules in a combustion flow field are excited by laser with specific wavelength to generate fluorescent signals, and the spatial distribution and physical parameters of NO can be obtained through analysis and processing of the fluorescent signals.
The NO-PLIF technology has the advantages of non-disturbance, real-time in-situ measurement, strong component selectivity, good sensitivity, high space-time resolution and the like. The NO-PLIF technology can be used for researching the characteristics of the combustion flow field, such as temperature, speed, chemical reaction and the like, and has important significance in the aspects of improving combustion efficiency, reducing air pollution, optimizing engine design and the like. The NO-PLIF technology can also be used to diagnose the fuel/air blending characteristics of a scramjet engine, providing a new means for the propulsion system of hypersonic aircraft. The NO-PLIF technology can also be combined with other laser diagnosis technologies to realize multi-field synchronous measurement and reveal the complex mechanism of the combustion process.
The NO concentration and the fluorescence signal intensity have the following relationship:
(1.1)
Wherein the method comprises the steps of Is the total fluorescence LIF signal,/>Is the product of the optical parameter C opt and the total laser energy E p,/>Is NO concentration, P is pressure, T is temperature,/>Is Boltzmann constant,/>Is the collision pair concentration,/>Is the quantum fluorescence yield (temperature pressure and collision pair concentration in k),/>Is Boltzmann score,/>Is Boltzmann fraction (temperature, number of rotation quanta),/>Is the ratio of the Boltzmann scores of spin split energy levels,/>Einstein absorption coefficient, g is spectral overlap integral,/>、J、/>And/>The spectral positions of the substance k, the number of rotation quanta, the number of excitation centers and the peak intensity in the mixture, respectively.
A simple relationship can be derived from equation (1.1) as follows:
(1.2)
Wherein the method comprises the steps of Is the NO concentration of the flame to be measured, C is the sum of all items in formula (1.1)/>Is the NO fluorescent signal intensity. That is, the simple model operation is performed by multiplying the fluorescence signal S captured by the camera in the experiment by a coefficient C (obtained by calibration)Is a concentration of (c) in absolute terms.
The calibration of the coefficients in the NO-PLIF model is required to quantitatively measure the concentration and distribution of NO in the flame. Many of the methods currently employed ignore the effects of collision quenching (affected by temperature, pressure, and concentration), boltzmann score (affected by temperature and number of quanta of rotation), and spectral overlap (affected by temperature, pressure, and concentration).
Accordingly, in the present embodiment, there is provided a NO gas concentration detection method based on planar laser induced fluorescence, and fig. 1 is a flowchart of a gas concentration detection method according to an embodiment of the present invention.
As shown in fig. 1, the process includes the steps of:
Step S101, acquiring first fluorescent image information when the gas to be measured is not combusted, and second fluorescent image information when the gas to be measured is combusted.
The gas to be measured is illustratively a combustible gas similar to methane or propane, wherein the first image fluorescence information is image information acquired by a camera before the gas to be measured is not combusted, and of course, before the image information is acquired, the gas to be measured needs to be irradiated by laser, so that if calibration gas (NO, nitric oxide) exists in the gas to be measured, the gas to be measured can be displayed through laser irradiation.
On the basis, in order to determine the combustion degree of the gas to be detected, second fluorescent image information corresponding to the combustion time of the gas to be detected is also required to be acquired, and similarly, the second fluorescent image information is also acquired under the irradiation of laser, and the second fluorescent image information corresponding to the combustion time represents the fluorescent image information corresponding to the combustion time at the present moment. When the combustion conditions at other moments need to be determined, fluorescent image information at one moment can be obtained, for example, when the condition of the whole combustion process needs to be obtained, corresponding fluorescent image information in the whole combustion process can be continuously obtained, specifically, the fluorescent image information can be continuously collected, or photographic fluorescent image information can be adopted, and then analysis is carried out according to the images of each frame, so that the combustion condition of the gas to be detected in the whole combustion process can be obtained.
Step S102, determining physical parameters during combustion according to the first fluorescence image information, the second fluorescence image information and a preset combustion model.
For example, the fluorescence image information in the unburned gas to be measured is the NO fluorescence signal existing in the gas to be measured, which is also called background signal; the fluorescent image information during combustion is NO fluorescent signal generated by the combustion of the gas to be detected, so that the NO gas generated by the gas to be detected in the combustion process can be obtained by subtracting the first fluorescent image information from the second fluorescent image information, and the combustion condition of the gas to be detected can be deduced.
The preset combustion model can be a two-dimensional combustion model established by adopting fluent, and the detailed chemical reaction dynamics mechanism can be constructed according to the related technology of the data, and the detailed description is omitted here.
According to the physical model, the first fluorescent image information and the second fluorescent image information, physical parameters of time may be corresponding, where the physical parameters may be temperature, pressure and concentration information.
Step S103, according to the physical parameters, the pre-acquired calibration coefficients, the first fluorescent image information, the second fluorescent image information and the preset model, the concentration of the calibration gas in the gas to be tested is obtained, so that the combustion degree of the gas to be tested is determined according to the concentration of the calibration gas, and the calibration gas is generated when the gas to be tested is combusted.
For example, after determining the physical parameter, the labeled gas concentration in the gas to be measured may be determined based on the physical parameter, the pre-acquired calibration coefficient, the first fluorescent image information, the second fluorescent image information, and the pre-set model.
The preset model is a relational expression expressed by the foregoing formula (1.1), and the concentration of the calibration gas (NO) can be determined according to the formula (1.1), that is, determined by adopting a NO-PLIF model, which is not described herein.
According to the gas concentration detection method provided by the embodiment, the first fluorescent image information of the gas to be detected when not combusted and the second fluorescent image information of the gas to be detected when combusted are obtained, so that the distinction between the gas to be detected when combusted and the gas to be detected when not combusted can be accurately distinguished, and the condition of the gas to be detected when combusted can be determined; further, according to the first fluorescence image information, the second fluorescence image information and a preset combustion model, corresponding physical parameters during combustion can be determined, and after the physical parameters are determined, collision quenching, boltzmann fraction and spectrum overlapping of the gas to be detected during combustion are determined according to the physical parameters; and finally, according to the physical parameters, the pre-acquired calibration coefficients, the first fluorescent image information, the second fluorescent image information and the preset model, obtaining the concentration of the gas to be detected, wherein the concentration of the gas to be detected removes the influence of physical factors such as collision quenching and the like, and improves the accuracy of the concentration of the gas to be detected.
In this embodiment, there is provided a further data transmission method, and fig. 2 is a flowchart of the data transmission method according to an embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
step S201, acquiring first fluorescence image information when the gas to be measured is not combusted, and second fluorescence image information of combustion time of the gas to be measured. Please refer to step S102 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S202, determining physical parameters during combustion according to the first fluorescence image information, the second fluorescence image information and a preset combustion model.
Specifically, the step S202 includes:
Step S2021 extracts the first fluorescent signal intensity in the first fluorescent image information and the second fluorescent signal intensity in the second fluorescent image information.
Step S2022, determining the third fluorescent signal intensity according to the first fluorescent signal intensity and the second fluorescent signal intensity.
In step S2023, the physical parameters during combustion are determined according to the third fluorescent signal intensity and the preset combustion model.
For example, after the first fluorescent image information and the second fluorescent image information are acquired, a fluorescent signal corresponding to the image information needs to be extracted, the corresponding fluorescent signal intensity may be extracted by an image processing technology, specifically, a signal intensity corresponding to each pixel point in the fluorescent image information may be identified, and then a value of the first fluorescent signal intensity for one pixel point may be subtracted from each pixel point in the second fluorescent signal intensity to obtain a third fluorescent signal intensity.
After determining the third fluorescence signal intensity, a corresponding physical parameter may be determined based on the third fluorescence signal intensity and a preset combustion model. I.e. under what circumstances the corresponding fluorescence signal intensity can be achieved.
In a preferred embodiment, the determination of the physical parameter in step S2023 may also be: acquiring laser information for irradiating the gas to be measured, and determining a detuning signal according to the laser information and the gas to be measured; and determining fourth fluorescence signal intensity according to the first fluorescence signal intensity, the second fluorescence signal intensity and the detuning signal, so as to determine the physical parameters during combustion according to the fourth fluorescence signal intensity and a preset combustion model.
For example, when the fluorescent image information is acquired, the laser is required to irradiate the gas to be measured, which is that the incident wavelength of the irradiated laser is inconsistent with the wavelength of the detection energy level, so that signals other than the calibration gas, such as interference of O 2 -LiF, can be eliminated, and in this case, interference of corresponding signals, namely detuned signals, needs to be eliminated. The physical parameters corresponding to combustion can be more accurately determined after the interference of the detuned signals is removed.
After the physical parameters are determined, the physical parameters obtained through simulation may be different from the dimensions acquired by the actual camera, and an uncovered null value may exist in the middle, so that interpolation processing is needed. As shown in FIG. 3, the beat to NO fluorescence signal is a two-dimensional matrix, and the temperature pressure, etc. is also a two-dimensional matrix. The temperature and pressure influence phi, f and g. Temperature and pressure are simulated, but the dimensions of temperature and pressure are inconsistent with the dimensions of the captured NO fluorescence signal, so the temperature and pressure concentration is interpolated to one dimension of the captured fluorescence signal matrix.
In a preferred embodiment, the method further comprises: and denoising the fourth fluorescence signal intensity so as to obtain physical parameters during combustion according to the fourth fluorescence signal intensity after denoising and a preset combustion model.
The noise reduction processing may be further performed on the fourth fluorescence signal based on the fourth fluorescence signal determined in the foregoing embodiment, to further determine the accuracy of the fluorescence signal, thereby improving the accuracy of the gas concentration to be calibrated. Specifically, the noise reduction may be performed by a gaussian blur method or the like.
Step S203, a standard gas concentration of the gas to be measured is obtained according to the physical parameter, the pre-acquired calibration coefficient, the first fluorescent image information, the second fluorescent image information and the preset model, so that the combustion degree of the gas to be measured is determined according to the standard gas concentration, and the standard gas is generated when the gas to be measured is combusted.
Specifically, the step S203 includes:
Step S2031, determining an initial calibration gas concentration according to the calibration coefficient, the first fluorescent image information, the second fluorescent image information, and the preset model.
Step S2032, determining collision quenching and the boltzmann score and spectral overlap from the physical parameters.
And step S2033, removing collision quenching, the Boltzmann fraction and spectrum overlapping in the initial gas concentration to be detected to obtain the calibration gas concentration.
Illustratively, the corresponding collision quench is not considered when determining the initial calibration gas concentration. The Boltzmann fraction and the spectrum overlap, so that after the initial calibration gas concentration is determined, the influence on the factors such as collision quenching, boltzmann fraction and spectrum overlap is removed, and the accurate calibration gas concentration can be obtained.
In the above embodiment, as shown in fig. 4, the pre-acquired calibration coefficients are determined by:
Step S401, obtaining third fluorescence image information of the calibration gas under at least two different gas concentrations and the gas concentration corresponding to the third fluorescence image information.
Illustratively, a known concentration of NO gas is formulated into N 2 to obtain a mixed gas of NO and N 2, and then a camera is used to capture fluorescence image information at the known concentration and then determine the corresponding fluorescence signal intensity, where at least two different concentrations of NO gas need to be configured to obtain a mixed gas of at least two concentrations.
Step S402, extracting the fifth fluorescence signal intensity in the third fluorescence image information under different gas concentrations.
For example, the corresponding fifth fluorescence signal intensities in the two third fluorescence image information are extracted correspondingly, and the extraction method is not described herein.
Step S403, determining a concentration signal relation according to at least two fifth fluorescence signal intensities and corresponding gas concentrations.
For example, at least two gas concentrations are known to correspond to each other when the mixed gas is disposed, so that a corresponding linear relationship between the two can be determined according to the gas concentration and the concentration signal relationship, and thus, the concentration signal intensity corresponding to the NO gas corresponding to any concentration can be obtained according to the linear relationship.
And step S404, determining a calibration coefficient according to the concentration signal relation and a preset model.
For example, after determining the concentration signal relationship, the calibration coefficient, that is, C in the formula (1.2), may be accurately determined according to the concentration signal relationship and the preset model (formula (1.1)).
As shown in fig. 5, in the above embodiment, a camera is used to capture fluorescent images of the calibration gas, find the known NO concentration corresponding to the fluorescent signal, and determine the corresponding linear relationship by using the two fluorescent images and the corresponding NO concentration, and then the linear relationship is taken into the NO-PLIF model to calculate the calibration coefficient; secondly, capturing a flame image to be detected by using a camera, and reducing noise of the image after subtracting a background signal and a detuned signal; further, numerically simulating the flame under the working condition, acquiring temperature, pressure and concentration (physical parameters), and interpolating the physical parameters into a matrix with the same dimension of the flame; and finally, bringing the data into an NO-PLIF model, and removing the influences of corresponding collision quenching, boltzmann fraction and spectrum overlapping point to obtain the absolute concentration of NO.
The implementation procedure in the above embodiment is further explained with a specific example.
The appropriate laser wavelength and fluorescence wavelength are selected, and according to the energy level structure and absorption and emission lines of NO molecules, 226 nm ultraviolet laser is generally adopted. Generating a planar laser beam, expanding the laser beam into a plane with a certain thickness through a lens or a prism, and irradiating the laser beam to a region of interest, wherein the plane is perpendicular to the flow field direction (assuming that the burner is vertically arranged, the laser beam is horizontally irradiated). The fluorescence signal is collected and recorded, the scattered light and other interfering signals are filtered out using a filter or monochromator, only the NO fluorescence signal is retained, and then the fluorescence image is recorded with a high sensitivity camera or detector. The fluorescence image is analyzed and processed according to the intensity and distribution of the fluorescence signal. And (3) calculating two-dimensional information such as concentration, temperature, pressure, speed and the like in the flow field by adopting detailed mechanism numerical simulation, and introducing the two-dimensional information into the NO-PLIF model. And finally deducing the absolute concentration of NO point to point.
The invention measures the NO concentration of the n-heptane laminar diffusion flame, the predicted result is shown in the following figure 6a, the fluorescent signal result of the n-heptane laminar diffusion flame is shown in figure 6b after Gaussian noise reduction, the fluorescent signal of the known concentration is measured in figure 6c, the result is obtained by numerical simulation in figures 6d and 6e, and the absolute concentration of NO is deduced in figure 6 f.
In this embodiment, a gas concentration detection apparatus is further provided, and the apparatus is used to implement the foregoing embodiments and preferred embodiments, and will not be described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The present embodiment provides a NO gas concentration detection apparatus based on planar laser induced fluorescence, as shown in fig. 7, including:
The acquisition information module 701 is configured to acquire first fluorescent image information when the gas to be measured is not combusted, and second fluorescent image information of combustion time of the gas to be measured;
the determining parameter module 702 is configured to determine a physical parameter during combustion according to the first fluorescent image information, the second fluorescent image information, and a preset combustion model;
the concentration determining module 703 is configured to obtain a concentration of a target gas according to the physical parameter, the pre-acquired calibration coefficient, the first fluorescent image information, the second fluorescent image information, and the preset model, so as to determine a combustion degree of the target gas according to the concentration of the target gas, where the target gas is a gas generated when the target gas is combusted.
In some alternative embodiments, the determining parameter module specifically includes:
a first extraction signal intensity unit for extracting a first fluorescent signal intensity in the first fluorescent image information and a second fluorescent signal intensity in the second fluorescent image information;
the second extraction signal intensity unit is used for determining third fluorescence signal intensity according to the first fluorescence signal intensity and the second fluorescence signal intensity;
and the parameter determining unit is used for determining the physical parameters during combustion according to the third fluorescent signal intensity and a preset combustion model.
In some alternative embodiments, the apparatus further comprises:
The laser information acquisition subunit is used for acquiring laser information for irradiating the gas to be detected and determining a detuning signal according to the laser information and the gas to be detected;
and the parameter determining subunit is used for determining fourth fluorescent signal intensity according to the first fluorescent signal intensity, the second fluorescent signal intensity and the detuning signal so as to determine the physical parameter during combustion according to the fourth fluorescent signal intensity and a preset combustion model.
In some alternative embodiments, the apparatus further comprises:
The noise reduction unit is used for reducing noise of the fourth fluorescent signal intensity so as to obtain physical parameters during combustion according to the fourth fluorescent signal intensity after noise reduction and a preset combustion model.
In some alternative embodiments, the pre-obtained calibration coefficients are determined by:
The method comprises the steps of obtaining third fluorescent image information of the calibration gas under at least two different gas concentrations and gas concentrations corresponding to the third fluorescent image information;
extracting fifth fluorescence signal intensity in the third fluorescence image information under different gas concentrations;
Determining a concentration signal relationship according to at least two fifth fluorescence signal intensities and corresponding gas concentrations;
And determining a calibration coefficient according to the concentration signal relation and a preset model.
In some alternative embodiments, determining the concentration module specifically includes:
the initial concentration determining unit is used for determining initial calibration gas concentration according to the calibration coefficient, the first fluorescent image information, the second fluorescent image information and the preset model;
A determining unit for determining collision quenching and a Boltzmann score and spectral overlap from the physical parameter;
and the concentration determining unit is used for removing collision quenching, the Boltzmann fraction and spectrum overlapping in the initial calibration gas concentration to obtain the calibration gas concentration.
In some alternative embodiments, the physical parameters include temperature, pressure, and gas concentration.
Further functional descriptions of the above respective modules and units are the same as those of the above corresponding embodiments, and are not repeated here.
The gas concentration detection apparatus in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application SPECIFIC INTEGRATED Circuit) Circuit, a processor and a memory that execute one or more software or firmware programs, and/or other devices that can provide the above-described functions.
The embodiment of the invention also provides computer equipment, which is provided with the NO gas concentration detection device based on planar laser-induced fluorescence shown in the figure 7.
Referring to fig. 8, fig. 8 is a schematic structural diagram of a computer device according to an alternative embodiment of the present invention, as shown in fig. 8, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are communicatively coupled to each other using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the computer device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In some alternative embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple computer devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 10 is illustrated in fig. 8.
The processor 10 may be a central processor, a network processor, or a combination thereof. The processor 10 may further include a hardware chip, among others. The hardware chip may be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general-purpose array logic, or any combination thereof.
Wherein the memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform a method for implementing the embodiments described above.
The memory 20 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, memory 20 may optionally include memory located remotely from processor 10, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk, or solid state disk; the memory 20 may also comprise a combination of the above types of memories.
The computer device also includes a communication interface 30 for the computer device to communicate with other devices or communication networks.
The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
Claims (6)
1. A method for detecting NO gas concentration based on planar laser-induced fluorescence, the method comprising:
Acquiring first fluorescent image information of the gas to be detected when the gas to be detected is not combusted and second fluorescent image information of the combustion time of the gas to be detected;
determining physical parameters during combustion according to the first fluorescent image information, the second fluorescent image information and a preset combustion model;
Obtaining a standard gas concentration of the gas to be measured according to the physical parameter, the pre-acquired calibration coefficient, the first fluorescent image information, the second fluorescent image information and a preset model, so as to determine the combustion degree of the gas to be measured according to the standard gas concentration, wherein the standard gas is generated when the gas to be measured is combusted;
wherein, the determining the physical parameters during combustion according to the first fluorescent image information, the second fluorescent image information and a preset combustion model specifically includes:
Extracting a first fluorescent signal intensity in the first fluorescent image information and a second fluorescent signal intensity in the second fluorescent image information;
determining a third fluorescent signal intensity from the first fluorescent signal intensity and the second fluorescent signal intensity;
Determining physical parameters during combustion according to the third fluorescent signal intensity and a preset combustion model;
wherein, the pre-acquired calibration coefficient is determined by the following steps:
Acquiring third fluorescent image information of the calibration gas under at least two different gas concentrations and gas concentrations corresponding to the third fluorescent image information;
extracting fifth fluorescence signal intensity in the third fluorescence image information under different gas concentrations;
Determining a concentration signal relationship according to at least two of the fifth fluorescence signal intensities and the corresponding gas concentrations;
Determining a calibration coefficient according to the concentration signal relation and a preset model;
The method for obtaining the standard gas concentration of the gas to be measured according to the physical parameter, the pre-acquired calibration coefficient, the first fluorescent image information, the second fluorescent image information and the preset model specifically comprises the following steps:
determining initial calibration gas concentration according to the calibration coefficient, the first fluorescent image information, the second fluorescent image information and the preset model;
determining collision quenching and a Boltzmann score and spectral overlap from the physical parameters;
Removing the collision quenching, the Boltzmann fraction and the spectrum overlap in the initial calibration gas concentration to obtain the calibration gas concentration;
The physical parameters include temperature, pressure and gas concentration.
2. The method according to claim 1, wherein the method further comprises:
Acquiring laser information for irradiating the gas to be detected, and determining a detuning signal according to the laser information and the gas to be detected;
And determining fourth fluorescence signal intensity according to the first fluorescence signal intensity, the second fluorescence signal intensity and the detuning signal, so as to determine physical parameters during combustion according to the fourth fluorescence signal intensity and a preset combustion model.
3. The method according to claim 2, wherein the method further comprises:
and denoising the fourth fluorescence signal intensity so as to obtain physical parameters during combustion according to the fourth fluorescence signal intensity after denoising and a preset combustion model.
4. An NO gas concentration detection apparatus based on planar laser induced fluorescence, the apparatus comprising:
The information acquisition module is used for acquiring first fluorescent image information of the gas to be detected when the gas to be detected is not combusted and second fluorescent image information of the combustion time of the gas to be detected;
the parameter determining module is used for determining physical parameters during combustion according to the first fluorescent image information, the second fluorescent image information and a preset combustion model;
the concentration determining module is used for obtaining the concentration of the standard gas to be detected according to the physical parameter, the pre-acquired calibration coefficient, the first fluorescent image information, the second fluorescent image information and the preset model, so as to determine the combustion degree of the gas to be detected according to the concentration of the standard gas, wherein the standard gas is generated when the gas to be detected is combusted;
the parameter determining module is specifically configured to:
Extracting a first fluorescent signal intensity in the first fluorescent image information and a second fluorescent signal intensity in the second fluorescent image information;
determining a third fluorescent signal intensity from the first fluorescent signal intensity and the second fluorescent signal intensity;
Determining physical parameters during combustion according to the third fluorescent signal intensity and a preset combustion model;
wherein, the pre-acquired calibration coefficient is determined by the following steps:
Acquiring third fluorescent image information of the calibration gas under at least two different gas concentrations and gas concentrations corresponding to the third fluorescent image information;
extracting fifth fluorescence signal intensity in the third fluorescence image information under different gas concentrations;
Determining a concentration signal relationship according to at least two of the fifth fluorescence signal intensities and the corresponding gas concentrations;
Determining a calibration coefficient according to the concentration signal relation and a preset model;
Wherein, the concentration determining module is specifically configured to:
determining initial calibration gas concentration according to the calibration coefficient, the first fluorescent image information, the second fluorescent image information and the preset model;
determining collision quenching and a Boltzmann score and spectral overlap from the physical parameters;
Removing the collision quenching, the Boltzmann fraction and the spectrum overlap in the initial calibration gas concentration to obtain the calibration gas concentration;
The physical parameters include temperature, pressure and gas concentration.
5. A computer device, comprising:
A memory and a processor, the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions, thereby executing the NO gas concentration detection method based on planar laser induced fluorescence according to any one of claims 1 to 3.
6. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon computer instructions for causing a computer to execute the NO gas concentration detection method based on planar laser-induced fluorescence according to any one of claims 1 to 3.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310996586.0A CN117030669B (en) | 2023-08-08 | 2023-08-08 | NO gas concentration detection method and device based on plane laser induced fluorescence, computer equipment and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310996586.0A CN117030669B (en) | 2023-08-08 | 2023-08-08 | NO gas concentration detection method and device based on plane laser induced fluorescence, computer equipment and storage medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN117030669A CN117030669A (en) | 2023-11-10 |
CN117030669B true CN117030669B (en) | 2024-05-17 |
Family
ID=88636676
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310996586.0A Active CN117030669B (en) | 2023-08-08 | 2023-08-08 | NO gas concentration detection method and device based on plane laser induced fluorescence, computer equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117030669B (en) |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5178002A (en) * | 1991-10-18 | 1993-01-12 | The Board Of Trustees Of The Leland Stanford Jr. University | Spectroscopy-based thrust sensor for high-speed gaseous flows |
KR20130079932A (en) * | 2012-01-03 | 2013-07-11 | 한국항공우주연구원 | Quantitative plif apparatus for measuring a mixtture distribution |
CN104374755A (en) * | 2014-10-23 | 2015-02-25 | 哈尔滨工业大学 | Method for quantitatively measuring transient concentration distribution of OH radicals of turbulent combustion field by utilizing bi-directional optical path-based laser-induced fluorescence imaging technology |
CN109470662A (en) * | 2018-09-13 | 2019-03-15 | 西北核技术研究所 | The device and method of kerosene interference is eliminated in a kind of kerosene combustion field OH-PLIF measurement |
CN110823849A (en) * | 2019-09-25 | 2020-02-21 | 北京航空航天大学 | Quantitative measurement method and device for transient combustion field |
CN111024663A (en) * | 2019-12-17 | 2020-04-17 | 中国科学院西安光学精密机械研究所 | Rapid fluorescence lifetime imaging system and method for flow field diagnosis |
CN114113021A (en) * | 2021-11-30 | 2022-03-01 | 哈尔滨工业大学 | Flow field density measuring device and method of double-tracer PLIF |
CN115790884A (en) * | 2022-10-21 | 2023-03-14 | 西北核技术研究所 | Temperature measuring method and system for large-temperature-range flow field |
-
2023
- 2023-08-08 CN CN202310996586.0A patent/CN117030669B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5178002A (en) * | 1991-10-18 | 1993-01-12 | The Board Of Trustees Of The Leland Stanford Jr. University | Spectroscopy-based thrust sensor for high-speed gaseous flows |
KR20130079932A (en) * | 2012-01-03 | 2013-07-11 | 한국항공우주연구원 | Quantitative plif apparatus for measuring a mixtture distribution |
CN104374755A (en) * | 2014-10-23 | 2015-02-25 | 哈尔滨工业大学 | Method for quantitatively measuring transient concentration distribution of OH radicals of turbulent combustion field by utilizing bi-directional optical path-based laser-induced fluorescence imaging technology |
CN109470662A (en) * | 2018-09-13 | 2019-03-15 | 西北核技术研究所 | The device and method of kerosene interference is eliminated in a kind of kerosene combustion field OH-PLIF measurement |
CN110823849A (en) * | 2019-09-25 | 2020-02-21 | 北京航空航天大学 | Quantitative measurement method and device for transient combustion field |
CN111024663A (en) * | 2019-12-17 | 2020-04-17 | 中国科学院西安光学精密机械研究所 | Rapid fluorescence lifetime imaging system and method for flow field diagnosis |
CN114113021A (en) * | 2021-11-30 | 2022-03-01 | 哈尔滨工业大学 | Flow field density measuring device and method of double-tracer PLIF |
CN115790884A (en) * | 2022-10-21 | 2023-03-14 | 西北核技术研究所 | Temperature measuring method and system for large-temperature-range flow field |
Non-Patent Citations (3)
Title |
---|
利用OH-PLIF测量CH_4/H_2/空气混合气湍流燃烧速率;张猛;王金华;谢永亮;卫之龙;金武;黄佐华;;燃烧科学与技术;20130724(第06期);第512-516页 * |
气氢气氧同轴剪切喷注器燃烧流场的PLIF测量及仿真研究;李峰;俞南嘉;戴健;;推进技术;20160613(第07期);第1380-1386页 * |
用于湍流燃烧温度测量的激光诊断技术;胡志云;张振荣;王晟;陶波;叶景峰;;气体物理;20180115(第01期);第1-11页 * |
Also Published As
Publication number | Publication date |
---|---|
CN117030669A (en) | 2023-11-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Franke et al. | Correlation Map, a goodness-of-fit test for one-dimensional X-ray scattering spectra | |
Bricklemyer et al. | Comparing vis–NIRS, LIBS, and combined vis–NIRS‐LIBS for intact soil core soil carbon measurement | |
CN103983595A (en) | Water quality turbidity calculating method based on ultraviolet-visible spectroscopy treatment | |
EP3290908B1 (en) | Unknown sample determining method | |
CN103592108A (en) | CCD chip modulation transfer function test device and method | |
CN103776532B (en) | A kind of hyperspectral imager index optimization method based on remote sensing application | |
CN105486655A (en) | Rapid detection method for organic matters in soil based on infrared spectroscopic intelligent identification model | |
CN105424653B (en) | The fruit pulp tissue optical property detecting system and method popped one's head in integrated optical fiber | |
US8045161B2 (en) | Robust determination of the anisotropic polarizability of nanoparticles using coherent confocal microscopy | |
CN111487213A (en) | Multispectral fusion chemical oxygen demand testing method and device | |
CN110530914A (en) | Heavy metal-polluted soil detection system and detection method | |
Longfils et al. | Raster image correlation spectroscopy performance evaluation | |
Fu et al. | The crosstalk fluorescence spectroscopy analysis principle and an accurate fluorescence quantitative method for multi-composition fluorescence substances | |
CN104730043A (en) | Method for measuring heavy metals in ink based on partial least squares | |
CN117030669B (en) | NO gas concentration detection method and device based on plane laser induced fluorescence, computer equipment and storage medium | |
Wu et al. | Dual-color time-integrated fluorescence cumulant analysis | |
CN111879709A (en) | Method and device for detecting spectral reflectivity of lake water body | |
CN113281323A (en) | Method for extracting characteristic information of organic pollutants in complex system and rapid detection method and system thereof | |
JP3902999B2 (en) | Optical scattering characteristic estimation apparatus and operation method thereof | |
CN116399836A (en) | Cross-talk fluorescence spectrum decomposition method based on alternating gradient descent algorithm | |
TW539854B (en) | Method for analytical investigation of a beer sample | |
WO2020228293A1 (en) | Method and apparatus for processing terahertz spectral imaging data | |
CN118549338A (en) | Non-contact alcohol concentration measuring device and method based on spectral analysis | |
US12136498B1 (en) | System and method for measuring spatially resolved velocity and density of air flows simultaneously | |
CN117420099B (en) | Method and device for detecting heterogeneous solution based on optical diffraction chromatography |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |