CN115979431A - Flame temperature measuring method and device based on image, terminal and storage medium - Google Patents
Flame temperature measuring method and device based on image, terminal and storage medium Download PDFInfo
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Abstract
The invention is suitable for the technical field of temperature measurement, and provides a flame temperature measuring method, a flame temperature measuring device, a flame temperature measuring terminal and a storage medium based on an image, wherein the method comprises the following steps: acquiring a color image of the flame to be detected, which is shot by a camera; selecting two pixel points with different chromatic values from the color image, and acquiring temperature values of two target points in the flame to be detected; the target points correspond to the positions of the pixel points one by one; substituting the chromatic value of each pixel point and the temperature value of the corresponding target point into a pre-established chromaticity and temperature fitting model, and determining model parameters of the chromaticity and temperature fitting model; and calculating the temperature distribution of the flame to be measured based on the chromaticity and temperature fitting model of the determined model parameters. The invention can realize calibration-free image temperature measurement, reduce the cost and improve the efficiency.
Description
Technical Field
The invention belongs to the technical field of temperature measurement, and particularly relates to a flame temperature measuring method and device based on an image, a terminal and a storage medium.
Background
The temperature is a physical quantity representing the cold and hot degree of an object, reflects the intensity of physical molecular motion, and can be divided into two major types, namely a contact method and a non-contact method.
In the non-contact measuring method, the temperature measurer is not in contact with the measured object, the temperature distribution of the measured object is not changed, the thermal inertia is small, and the method is suitable for measuring objects with higher temperature. The image temperature measurement is a non-contact temperature measurement method with wide prospect. However, the traditional image temperature measurement needs a high-cost high-temperature black body furnace for thermal radiation calibration, and is cumbersome to implement, and it is difficult to quickly obtain an accurate combustion flame temperature field.
Disclosure of Invention
In view of this, embodiments of the present invention provide a flame temperature measurement method and apparatus based on an image, a terminal, and a storage medium, so as to implement calibration-free image temperature measurement, reduce cost, and improve efficiency.
A first aspect of an embodiment of the present invention provides a flame temperature measurement method based on an image, including:
acquiring a color image of the flame to be detected, which is shot by a camera;
selecting two pixel points with different chromatic values from the color image, and acquiring temperature values of two target points in the flame to be detected; the target points correspond to the positions of the pixel points one by one;
substituting the chromatic value of each pixel point and the temperature value of the corresponding target point into a pre-established chromaticity and temperature fitting model, and determining model parameters of the chromaticity and temperature fitting model;
and calculating the temperature distribution of the flame to be measured based on the chromaticity and temperature fitting model of the determined model parameters.
Optionally, the fitting model of chromaticity and temperature is:
wherein T is temperature, (R, G) is chromaticity, R is red, G is green, and b is m And c is the model parameter to be determined, which is related to the combustion properties of the flame to be measured.
Optionally, calculating the temperature distribution of the flame to be measured based on the chromaticity and temperature fitting model for determining the model parameters includes:
respectively inputting the chromatic value of each pixel point in the color image into a chromatic and temperature fitting model for determining model parameters, and calculating to obtain a temperature value of the flame position corresponding to each pixel point;
and determining the temperature distribution of the flame to be detected based on the temperature value of the flame position corresponding to each pixel point.
Optionally, the difference between the chrominance values of the two selected pixels is greater than a preset difference value; and the chromatic values of the two selected pixel points are both larger than a preset threshold value.
Optionally, the method for measuring the temperature values of two target points in the flame to be measured includes:
placing a convex lens and a spectroscope in front of the flame to be measured in sequence, and placing a color image according to the refraction angle of the spectroscope, so that light rays emitted by the flame to be measured correspond to the color image after being refracted by the spectroscope;
determining two corresponding reflection paths according to the light refraction paths of the two selected pixel points;
and measuring the light temperature on the two reflection paths through a pyrometer to obtain temperature values of two target points.
Optionally, the placing the color image according to the refraction angle of the spectroscope includes:
and placing the photosensitive device according to the refraction angle of the spectroscope, and forming a color image through the photosensitive device.
A second aspect of an embodiment of the present invention provides an image-based flame temperature measuring apparatus, including:
the acquisition module is used for acquiring a color image of the flame to be detected, which is shot by the camera;
the determining module is used for selecting two pixel points with different chromatic values from the color image and acquiring temperature values of two target points in the flame to be detected, wherein the target points correspond to the pixel points one by one;
the calculation module is used for substituting the chromatic value of each pixel point and the corresponding temperature value of the target point into a pre-established chromaticity and temperature fitting model to determine model parameters of the chromaticity and temperature fitting model; and calculating the temperature distribution of the flame to be measured based on the chromaticity and temperature fitting model of the determined model parameters.
Optionally, the fitting model of chromaticity and temperature is:
wherein T is temperature, (R, G) is chromaticity, R is red, G is green, and b is m And c is the model parameter to be determined, which is related to the combustion properties of the flame to be measured.
A third aspect of embodiments of the present invention provides a terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the image-based flame temperature measurement method according to the first aspect as described above when executing the computer program.
A fourth aspect of embodiments of the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the image based flame temperature measurement method of the first aspect as described above.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, a color image of the flame to be measured, which is shot by a camera, is obtained, two pixel points with different chromatic values are selected from the color image, the temperature values of two target points in the flame to be measured are obtained, the chromatic value of each pixel point and the temperature value of the corresponding target point are substituted into a chromaticity and temperature fitting model which is established in advance, model parameters are determined, and then the temperature distribution of the flame to be measured can be calculated according to the fitting model of the determined parameters. The embodiment of the invention can measure the two-dimensional temperature field of the combustion object without carrying out thermal radiation calibration on the camera, has the advantages of lower cost, easy operation, higher precision, fast response speed and wide applicability, and is suitable for measuring the temperature field and the temperature change of the combustion object under the condition that the camera is difficult to calibrate.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a schematic flow chart of a method for image-based flame temperature measurement according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating the measurement of the temperature of a target point in a flame to be measured according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an image-based flame temperature measuring device provided by an embodiment of the invention;
fig. 4 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to illustrate the technical means of the present invention, the following description is given by way of specific examples.
Temperature measurements are closely related to our productive life. The temperature measurement method can be classified into a contact method and a non-contact method. Thermocouple thermometry and fiber optic thermometry are typical contact method thermometry. The non-contact temperature measurement method includes an imaging method, a laser spectroscopy method, a radiation method and a sound wave method. The thermocouple temperature measurement in the contact method is a detection technology generally adopted at present, when temperature differences exist at two ends of metal alloy conductors made of different materials, potential differences can be generated at two ends of the conductors, a simple functional relation exists between thermoelectric force and the temperature differences at two ends of the conductors, and when the hot end and a measured object of the material reach thermal balance and the cold end is at a constant known temperature, the temperature of the measured object can be obtained through the potential differences. The optical fiber thermometry measures the temperature of an object by using different optical fiber material temperatures and different light transmission characteristics, and has all other problems of thermocouple measurement of the temperature distribution in a furnace except that the temperature does not participate in flame gas reaction.
In the non-contact measuring method, the temperature measurer is not in contact with the measured object, the temperature distribution of the measured object is not changed, the thermal inertia is small, and the method is suitable for measuring objects with higher temperature. The image temperature measurement method is a non-contact temperature measurement method with wide prospect. The traditional real-time image temperature measurement method needs a high-cost high-temperature black body furnace to carry out thermal radiation calibration work, is relatively complex to implement, and is difficult to quickly obtain an accurate combustion flame temperature field. Therefore, in order to solve the problem of real-time image temperature measurement, the invention provides a calibration-free image temperature measurement method which is quick, cheap, convenient and stable in operation.
Referring to fig. 1, an embodiment of the present invention provides an image-based flame temperature measurement method, including:
and step S101, acquiring a color image of the flame to be detected, which is shot by a camera.
In this embodiment, a color image of the flame to be measured can be captured by a color digital camera commonly used in daily life. Illustratively, the camera position is adjusted to align the flame, and the camera integration time is adjusted to ensure that the image is free from saturation, so that flame color images under different integration times can be shot.
S102, selecting two pixel points with different chromatic values from the color image, and acquiring temperature values of two target points in the flame to be detected; and the target points correspond to the positions of the pixel points one by one.
In this embodiment, after the color image is obtained, the colorimetric values of the pixel points are first calculated, then two pixel points with different colorimetric values are selected from the color image, and the temperature T of the actual positions of the two pixel points in the flame to be measured is measured by using the radiation pyrometer 1 And T 2 。
As a possible implementation manner, the difference between the chrominance values of the two selected pixels is greater than a preset difference value; and the chromatic values of the two selected pixel points are both larger than a preset threshold value. Therefore, the model parameters of the chromaticity and temperature fitting model calculated subsequently are more reasonable. In this embodiment, the difference between any one of R and G of the two pixels is greater than the predetermined difference, that is, the difference between the chrominance values of the two pixels is greater than the predetermined difference. Similarly, any one of R and G of the pixel point is greater than the preset threshold, that is, the chromatic value of the pixel point is greater than the preset threshold.
Step S103, substituting the chromatic value of each pixel point and the temperature value of the corresponding target point into a pre-established chromatic and temperature fitting model, and determining the model parameters of the chromatic and temperature fitting model.
In this embodiment, the process of constructing the chromaticity and temperature fitting model is as follows:
(1) Selecting R wave band and G wave band in visible light response spectrum curve of color camera, wherein the R wave band can be 550-700nm, the G wave band can be 400-680nm, and constructing chromaticity information (R, G) and radiation force of R and G wave bands of color imageE R 、E G The fitting model of (2):
wherein, a R 、a G The proportionality coefficient is related to the combustion property of the combustion object, and different combustion object proportionality coefficients are different. t is t int Is the camera exposure time.
(2) And constructing a fitting model of temperature distribution and wave band radiation force based on a colorimetric temperature measurement principle.
The combustion flame is 300-1000 nm, the temperature range is 800-2000K, the Planck radiation law in the range can be replaced by the Wien radiation law, and the spectral radiation force of the flame is as follows:
where T is absolute temperature, λ is wavelength, C1, C2 are Planck first and second constants, and ε (λ) is the spectral radiance of the flame.
If the monochromatic radiation power E (lambda) of the flame at two wavelengths can be obtained simultaneously 1 ,T)，E(λ 2 T), and ignoring the change in spectral radiance at these two wavelengths, i.e. the flame satisfies the ash assumption in the two wavelength interval, the flame temperature can be obtained colorimetrically as shown in the following equation:
further, the following can be obtained:
two monochromatic radiation intensities (e.g. I) from a single color flame image can be obtained by a two-color method R And I G ) Calculating the flame radiation temperature T:
combining the following equations:
obtaining a chromaticity and temperature fitting model by sorting:
it can be seen that the camera exposure time is eliminated in the calculation process, which shows that the camera exposure time does not influence the measurement of the temperature, and two constants b exist in the model m C, the two constants are related to the property of the object to be measured, so that the data of the single-point chromaticities of the two groups of color images and the corresponding single-point temperature of the object to be measured are needed to calculate the constant b m And c.Two points with larger chroma value from color image are recorded with chroma value (R) 1 ,G 1 )(R 2 ,G 2 ) Respectively measuring the temperatures T of the two points in the two-dimensional plane of the flame image by using two radiation type pyrometers 1 、T 2 Then substituting the two groups of data into the model to obtain the model parameter b m And c.
And step S104, calculating the temperature distribution of the flame to be measured based on the chromaticity and temperature fitting model of the determined model parameters.
As a possible implementation manner, the chromatic value of each pixel point in the color image is respectively input into a chromaticity and temperature fitting model for determining model parameters, and the temperature value of the flame position corresponding to each pixel point is calculated; and determining the temperature distribution of the flame to be detected based on the temperature value of the flame position corresponding to each pixel point.
Therefore, the embodiment of the invention selects two pixel points with different chromatic values from the color image by obtaining the color image of the flame to be measured shot by the camera, obtains the temperature values of two target points in the flame to be measured, substitutes the chromatic value of each pixel point and the corresponding temperature value of the target point into the chromaticity and temperature fitting model established in advance, determines the model parameters, and then calculates the temperature distribution of the flame to be measured according to the fitting model of the determined parameters. The embodiment of the invention can measure the two-dimensional temperature field of the combustion object without carrying out thermal radiation calibration on the camera, has the advantages of lower cost, easy operation, higher precision, fast response speed and wide applicability, and is suitable for measuring the temperature field and the temperature change of the combustion object under the condition that the camera is difficult to calibrate.
As a possible implementation manner, the method for measuring the temperature values of two target points in the flame to be measured may be detailed as follows:
placing a convex lens and a spectroscope in front of the flame to be measured in sequence, and placing a color image according to the refraction angle of the spectroscope, so that light rays emitted by the flame to be measured correspond to the color image after being refracted by the spectroscope;
determining two corresponding reflection paths according to the light refraction paths of the two selected pixel points;
and measuring the light temperature on the two reflection paths through a pyrometer to obtain temperature values of two target points.
As a possible implementation, the placement of the color image according to the refraction angle of the beam splitter can be detailed as:
and placing the photosensitive device according to the refraction angle of the spectroscope, and forming a color image through the photosensitive device.
In this embodiment, as shown in fig. 2, light emitted from the flame enters the spectroscope after passing through the convex lens, the spectroscope reflects and transmits incident light in a uniform spectroscopic manner, the reflected light enters the pyrometer, and the transmitted light forms an image on the photosensitive element. After the light is split, the R and G values of the transmitted light are changed, but the ratio of the R value to the G value is consistent with that of the light before the splitting. According to the arrangement, the positions of the incident light of the pyrometers correspond to the pixel points on the photosensitive elements one by one. The horizontal distance between the two radiation pyrometers is fixed to d, and the longitudinal distance between the two corresponding pixel points in the flame image is also d. According to the principle, pixel points corresponding to the high-temperature measuring points are found on the flame image, and R and G values of the two pixel points can be recorded.
The embodiment of the invention can realize that the two-dimensional temperature field of the combustion object can be measured without carrying out thermal radiation calibration on the camera. The method has the advantages of low cost, easy operation, high precision, high response speed and wide applicability, and is suitable for measuring the temperature field and the temperature change of the combustion object under the occasion that the camera is not easy to calibrate.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
An embodiment of the present invention provides an image-based flame temperature measuring apparatus, and as shown in fig. 3, the apparatus 30 includes:
and the acquisition module 31 is used for acquiring a color image of the flame to be measured, which is shot by the camera.
The determining module 32 is configured to select two pixel points with different chromatic values from the color image, and obtain temperature values of two target points in the flame to be detected, where the positions of the target points and the pixel points are in one-to-one correspondence.
The calculation module 33 is configured to substitute the chromaticity value of each pixel point and the temperature value of the corresponding target point into a chromaticity and temperature fitting model established in advance, and determine a model parameter of the chromaticity and temperature fitting model; and calculating the temperature distribution of the flame to be measured based on the chromaticity and temperature fitting model of the determined model parameters.
As a possible implementation, the fitting model of chromaticity and temperature is:
wherein T is temperature, (R, G) is chromaticity, R is red, G is green, and b is m And c is the model parameter to be determined, which is related to the combustion properties of the flame to be measured.
As a possible implementation manner, the calculating module 33 is specifically configured to:
respectively inputting the chromatic value of each pixel point in the color image into a chromatic and temperature fitting model for determining model parameters, and calculating to obtain the temperature value of the flame position corresponding to each pixel point;
and determining the temperature distribution of the flame to be detected based on the temperature value of the flame position corresponding to each pixel point.
As a possible implementation manner, the difference between the chrominance values of the two selected pixels is greater than a preset difference value; and the chromatic values of the two selected pixel points are both larger than a preset threshold value.
As a possible implementation, the determining module 32 is specifically configured to:
placing a convex lens and a spectroscope in front of the flame to be measured in sequence, and placing a color image according to the refraction angle of the spectroscope, so that light rays emitted by the flame to be measured correspond to the color image after being refracted by the spectroscope;
determining two corresponding reflection paths according to the light refraction paths of the two selected pixel points;
and measuring the light temperature on the two reflection paths through a pyrometer to obtain temperature values of two target points.
As a possible implementation, the determining module 32 is specifically configured to:
and placing the photosensitive device according to the refraction angle of the spectroscope, and forming a color image through the photosensitive device.
Fig. 4 is a schematic diagram of a terminal 40 according to an embodiment of the present invention. As shown in fig. 4, the terminal 40 of this embodiment includes: a processor 41, a memory 42, and a computer program 43, such as an image-based flame temperature measurement program, stored in the memory 42 and executable on the processor 41. The processor 41, when executing the computer program 43, implements the steps in the various image-based flame temperature measurement method embodiments described above, such as steps S101-S104 shown in fig. 1. Alternatively, the processor 41 implements the functions of the modules in the above-described device embodiments, such as the functions of the modules 31 to 33 shown in fig. 3, when executing the computer program 43.
Illustratively, the computer program 43 may be divided into one or more modules/units, which are stored in the memory 42 and executed by the processor 41 to implement the present invention. One or more of the modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 43 in the terminal 40.
The terminal 40 may be a computing device such as a desktop computer, a notebook, a palm top computer, and a cloud server. The terminal 40 may include, but is not limited to, a processor 41, a memory 42. Those skilled in the art will appreciate that fig. 4 is merely an example of a terminal 40 and does not constitute a limitation of terminal 40, and may include more or fewer components than shown, or some components in combination, or different components, e.g., terminal 40 may also include input-output devices, network access devices, buses, etc.
The Processor 41 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 42 may be an internal storage unit of the terminal 40, such as a hard disk or a memory of the terminal 40. The memory 42 may also be an external storage device of the terminal 40, such as a plug-in hard disk provided on the terminal 40, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 42 may also include both internal and external memory units of the terminal 40. The memory 42 is used for storing computer programs and other programs and data required by the terminal 40. The memory 42 may also be used to temporarily store data that has been output or is to be output.
It should be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units and modules is only used for illustration, and in practical applications, the above function distribution may be performed by different functional units and modules as needed, that is, the internal structure of the device is divided into different functional units or modules, so as to perform all or part of the above described functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. For the specific working processes of the units and modules in the system, reference may be made to the corresponding processes in the foregoing method embodiments, which are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other ways. For example, the above-described apparatus/terminal embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium and used by a processor to implement the steps of the above-described embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
The above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. An image-based flame temperature measurement method, comprising:
acquiring a color image of the flame to be detected, which is shot by a camera;
selecting two pixel points with different chromatic values from the color image, and acquiring temperature values of two target points in the flame to be detected; wherein, the target points correspond to the positions of the pixel points one by one;
substituting the chromatic value of each pixel point and the temperature value of the corresponding target point into a pre-established chromatic and temperature fitting model, and determining model parameters of the chromatic and temperature fitting model;
and calculating the temperature distribution of the flame to be measured based on the chromaticity and temperature fitting model of the determined model parameters.
2. The image-based flame temperature measurement method of claim 1, wherein the chromaticity-to-temperature fitted model is:
wherein T is temperature, (R, G) is chromaticity, R is red, G is green, and b is m And c is a model parameter to be determined, which is related to the combustion properties of the flame to be measured.
3. The image-based flame temperature measurement method of claim 1, wherein calculating the temperature distribution of the flame to be measured based on a chromaticity and temperature fit model that determines model parameters comprises:
respectively inputting the chromatic value of each pixel point in the color image into a chromatic and temperature fitting model for determining model parameters, and calculating to obtain a temperature value of the flame position corresponding to each pixel point;
and determining the temperature distribution of the flame to be detected based on the temperature value of the flame position corresponding to each pixel point.
4. The image-based flame temperature measurement method of claim 1, wherein a difference between chrominance values of the selected two pixels is greater than a preset difference;
and the chromatic values of the two selected pixel points are both larger than a preset threshold value.
5. The image-based flame temperature measuring method of claim 1, wherein the method for measuring the temperature values of two target points in the flame to be measured comprises:
placing a convex lens and a spectroscope in front of the flame to be measured in sequence, and placing a color image according to the refraction angle of the spectroscope, so that light rays emitted by the flame to be measured correspond to the color image after being refracted by the spectroscope;
determining two corresponding reflection paths according to the light refraction paths of the two selected pixel points;
and measuring the light temperature on the two reflection paths through a pyrometer to obtain temperature values of two target points.
6. The image-based flame temperature measurement method of claim 5, wherein positioning the color image according to a refraction angle of the beam splitter comprises:
and placing the photosensitive device according to the refraction angle of the spectroscope, and forming a color image through the photosensitive device.
7. An image-based flame temperature measurement device, comprising:
the acquisition module is used for acquiring a color image of the flame to be detected, which is shot by the camera;
the determining module is used for selecting two pixel points with different chromatic values from the color image and acquiring temperature values of two target points in the flame to be detected, wherein the target points correspond to the pixel points one by one;
the calculation module is used for substituting the chromatic value of each pixel point and the temperature value of the corresponding target point into a pre-established chromatic and temperature fitting model and determining the model parameters of the chromatic and temperature fitting model; and calculating the temperature distribution of the flame to be measured based on the chromaticity and temperature fitting model of the determined model parameters.
8. The image-based flame temperature measurement device of claim 7, wherein the chromaticity-to-temperature fit model is:
wherein T is temperature, (R, G) is chromaticity, R is red, G is green, and b is m And c is a model parameter to be determined, which is related to the combustion properties of the flame to be measured.
9. A terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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