WO2023077914A1

WO2023077914A1 - Multi-parameter synchronous measurement method and apparatus, and electronic device and storage medium

Info

Publication number: WO2023077914A1
Application number: PCT/CN2022/113720
Authority: WO
Inventors: 冯雪; 唐云龙; 王锦阳; 张金松; 岳孟坤
Original assignee: 清华大学
Priority date: 2021-11-02
Filing date: 2022-08-19
Publication date: 2023-05-11
Also published as: CN114018324B; CN114018324A

Abstract

A multi-parameter synchronous measurement method, comprising: controlling a light source to irradiate an object to be measured (S11); obtaining a first image of said object under the irradiation of the light source (S12); using gray values of a plurality of second wavebands of the first image to correct gray values of a plurality of third wavebands of the first image, and removing radiation light in the plurality of third wavebands of the first image to obtain a second image (S13); determining a temperature field of said object according to a gray value of at least one waveband of the second image and a reference temperature of said object (S14); and determining a deformation field of said object according to a gray value of the at least one target waveband of the second image (S15). Further provided are a multi-parameter synchronous measurement apparatus, an electronic device, and a computer-readable storage medium.

Description

Multi-parameter synchronous measurement method and device, electronic equipment and storage medium

technical field

The present disclosure relates to the field of measurement technology, and in particular to a multi-parameter synchronous measurement method and device, electronic equipment, and a storage medium.

Background technique

At present, the cruising speed and defense penetration capability of the new generation of aircraft have been further improved. During high-speed cruising and re-entry of the aircraft, key structural components such as engine components, nose cone and leading edge must withstand the test of extreme environments such as ultra-high speed and ultra-high temperature. Such extreme environments are accompanied by many challenges such as thermochemical ablation, aerodynamic thermal environment, boundary layer transition, and aerodynamic shape evolution. A stable thermal protection system is a necessary guarantee for the normal operation of internal instruments and equipment, so the reliability and safety verification of the thermal protection system is of key significance for the safe service of high-speed aircraft. In order to verify the reliability and safety of the thermal protection system, it is generally necessary to use the ground assessment method to test and evaluate the material/structure performance of the thermal protection system before service. As an important form of ground assessment, the high temperature wind tunnel is used in aviation The field of aerospace is more and more widely used. According to Planck's radiation law, as the temperature of an object increases, its surface thermal radiation also increases, and the relative values of radiation in different wave bands also change. Therefore, the radiation generated by the object itself will have a certain impact on the measured image, making the image unable to truly present the deformation on the surface of the object and the temperature field of the object.

Contents of the invention

According to an aspect of the present disclosure, a multi-parameter simultaneous measurement method is provided, the method comprising:

controlling the light source to irradiate the measured object, wherein the light source emits light in the first wavelength band;

acquiring a first image of the measured object under the light source, wherein the first image includes at least one image when the measured object is not heated, and at least one image when the measured object is heated images;

Using the gray values of the multiple second bands of the first image to correct the gray values of the multiple third bands of the first image, removing radiation in the multiple third bands of the first image light to obtain a second image, wherein the wavelengths of the second wave bands are greater than the wavelengths of the third wave bands;

determining the temperature field of the measured object according to the gray value of at least one band of the second image and the reference temperature of the measured object;

Determining the deformation field of the measured object according to the gray value of at least one target band of the second image, where the target band is any one of a plurality of second bands and a plurality of third bands of the second image .

In a possible implementation manner, the gray values of the multiple third bands in the first image are corrected by using the gray values of the multiple second bands in the first image, and the gray values in the first image are removed. radiant light in a plurality of third wavebands of an image to obtain a second image, comprising:

Obtaining the predicted gray value of each third band of the first image by using the gray value of the plurality of second bands;

Using the gray value of each third band in the first image and the corresponding predicted gray value to obtain the gray value of each third band in the second image;

The second image is obtained by using the gray value of each second band in the first image and the gray value of each third band in the second image.

In a possible implementation manner, the obtaining the predicted gray value of each third band by using the gray values of the plurality of second bands includes:

performing a fitting process based on the gray values of multiple second bands of the first image according to the blackbody radiation theorem, to obtain fitted values of the gray values of each band of the first image;

The predicted gray value of each third band of the first image is determined according to the fitting value of the gray value of each band of the first image.

In a possible implementation manner, the obtaining the gray value of each third band in the second image by using the gray value of each third band in the first image and the corresponding predicted gray value includes :

The gray value of each third band in the second image is obtained by using the difference between the gray value of each third band in the first image and the corresponding predicted gray value.

In a possible implementation manner, the determining the temperature field of the measured object according to the gray value of at least one band of the second image and the reference temperature of the measured object includes:

When the temperature of the measured object is lower than the first preset temperature, according to the gray value of the first target band of the second image and the gray value of the first target band of the reference point of the second image and the reference temperature, determining the temperature field of the measured object,

Wherein, the first target waveband is any one of the second waveband or the third waveband in the fourth waveband, and the wavelength of the fourth waveband is greater than the wavelength of the first waveband.

When the temperature of the measured object is higher than the first preset temperature, according to the gray value of the second target band of the second image, the gray value of the third target band, and the reference point of the second image The gray value of the second target band, the gray value of the third target band of the reference point of the second image, and the reference temperature, determine the temperature field of the measured object,

Wherein, the second target band and the third target band are any two adjacent second or third bands in the fifth band, and the wavelength of the fifth band is greater than the wavelength of the first band , and less than the wavelength of the fourth band.

In a possible implementation manner, the first wavelength band is any one of 400nm-550nm, the fourth wavelength is 700-900nm, the fifth wavelength is 550nm-700nm, and the preset The temperature is 900°C-1100°C.

In a possible implementation manner, the method also includes:

Acquiring the temperature of a preset reference point in the measured object, and using the temperature of the reference point as the reference temperature.

According to an aspect of the present disclosure, a multi-parameter synchronous measurement device is provided, the device comprising:

The heating module is used to heat the object to be measured;

A light source, used to emit light in the first wavelength band to irradiate the object to be measured;

The image acquisition module includes an acquisition unit and a filter unit, the acquisition unit includes an acquisition lens, the filter unit is arranged at the front end of the acquisition lens, and is used to pass light in a specified direction and in a specified waveband, and the acquisition unit is used to acquire an image of the measured object;

A control module, connected to the heating module, the light source and the image acquisition module, for:

According to an aspect of the present disclosure, there is provided an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to call the instructions stored in the memory to execute the above-mentioned method.

According to one aspect of the present disclosure, there is provided a computer-readable storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the above method is implemented.

The embodiment of the present disclosure can control the light source to emit light of the first waveband to irradiate the measured object, acquire the first image of the measured object illuminated by the light source, and use the gray scale of multiple second wavebands of the first image Correct the gray values of the multiple third bands of the first image, remove the radiated light in the multiple third bands of the first image, and obtain the second image, so that the radiation intensity of each band is Adaptively eliminate, according to the gray value of at least one band of the second image, and the reference temperature of the measured object, determine the temperature field of the measured object, according to the gray value of at least one target band of the second image The value determines the deformation field of the measured object, and by flexibly eliminating or suppressing the radiated light of each band, an accurate image can be obtained, thereby improving the measurement accuracy of the temperature field and deformation field of the measured object.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings.

Description of drawings

The accompanying drawings here are incorporated into the description and constitute a part of the present description. These drawings show embodiments consistent with the present disclosure, and are used together with the description to explain the technical solution of the present disclosure.

Fig. 1 shows a flowchart of a multi-parameter synchronous measurement method according to an embodiment of the present disclosure.

Fig. 2 shows a schematic diagram of a temperature deformation measurement system based on partition filtering according to an embodiment of the present disclosure.

FIG. 3 shows a schematic diagram of a polarizing assembly according to an embodiment of the disclosure.

Fig. 4 shows a flowchart of obtaining a second image according to an embodiment of the present disclosure.

FIG. 5 shows a schematic diagram of removing reflected light according to an embodiment of the present disclosure.

Fig. 6 shows a schematic diagram of band ranges according to an embodiment of the present disclosure.

Fig. 7 shows a block diagram of an electronic device according to an embodiment of the present disclosure.

Fig. 8 shows a block diagram of an electronic device according to an embodiment of the present disclosure.

Detailed ways

Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

In describing the present disclosure, it should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", The orientation or positional relationship indicated by "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present disclosure and simplifying the description, and It is not to indicate or imply that a device or element referred to must have a particular orientation, be constructed, or operate in a particular orientation, and thus should not be construed as limiting the present disclosure.

In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features. In the description of the present disclosure, "plurality" means two or more, unless otherwise specifically defined.

In this disclosure, terms such as "installation", "connection", "connection" and "fixation" should be interpreted in a broad sense, for example, it can be a fixed connection or a detachable connection unless otherwise clearly defined and limited. , or integrated; it can be mechanically connected or electrically connected; it can be directly connected or indirectly connected through an intermediary, and it can be the internal communication of two components or the interaction relationship between two components. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present disclosure according to specific situations.

The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

The term "and/or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and/or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the term "at least one" herein means any one of a variety or any combination of at least two of the more, for example, including at least one of A, B, and C, which may mean including from A, Any one or more elements selected from the set formed by B and C.

In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific implementation manners. It will be understood by those skilled in the art that the present disclosure may be practiced without some of the specific details. In some instances, methods, means, components and circuits that are well known to those skilled in the art have not been described in detail so as to obscure the gist of the present disclosure.

Combined with the description of the background technology, as the temperature of an object increases, its surface thermal radiation also increases, and the relative values of radiation in different bands also change. In order to suppress the influence of thermal radiation, related technical solutions include narrow-band filtering technology and Monochromatic light source compensates illumination for radiation suppression. However, the effect of related technologies on radiation suppression is not ideal. Related technologies cannot solve the problems of non-uniformity in heating and different radiation intensities in each band, which leads to excessively high local gray of the image (too high). Exposure) or the gray is too low (underexposure), it is impossible to accurately obtain the parameters of the measured object.

The executor of the multi-parameter synchronous measurement method may be a multi-parameter synchronous measurement device. For example, the multi-parameter synchronous measurement method may be executed by a terminal device or a server or other processing device. Wherein, the terminal device may be user equipment (User Equipment, UE), mobile device, user terminal, terminal, handheld device, computing device or vehicle-mounted device, etc. Exemplarily, some examples of terminals are: mobile phone (Mobile Phone), tablet Computers, laptops, PDAs, Mobile Internet devices (Mobile Internet device, MID), wearable devices, virtual reality (Virtual Reality, VR) devices, augmented reality (Augmented reality, AR) devices, wireless in industrial control (Industrial Control) Terminals, Wireless Terminals in Selfdriving, Wireless Terminals in Remote Medical Surgery, Wireless Terminals in Smart Grid, Wireless Terminals in Transportation Safety, Smart City ( Wireless terminals in Smart City, wireless terminals in Smart Home, wireless terminals in Internet of Vehicles, etc. For example, the server may be a local server or a cloud server.

In some possible implementation manners, the multi-parameter synchronous measurement method may be implemented by calling computer-readable instructions stored in a memory by a processing component. In one example, the processing component includes, but is not limited to, a processor alone, or discrete components, or a combination of processors and discrete components. The processor may include a controller in an electronic device having the function of executing instructions, and the processor may be implemented in any suitable manner, for example, by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs) ), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components. Inside the processor, the executable instructions can be executed by hardware circuits such as logic gates, switches, Application Specific Integrated Circuits (ASIC), programmable logic controllers, and embedded microcontrollers. The memory can be realized by any type of volatile or non-volatile storage devices or their combination, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic or Optical Disk. As shown in FIG. 1 , the multi-parameter synchronous measurement method includes steps S11 to S15.

Step S11, controlling the light source to irradiate the measured object, wherein the light source emits light in the first wavelength band;

Step S12, acquiring a first image of the measured object under the light source, wherein the first image includes at least one image when the measured object is not heated, and at least one image when the measured object is heated at least one image of

Step S13, using the gray values of the multiple second bands of the first image to correct the gray values of the multiple third bands of the first image, and removing the multiple third bands of the first image The radiated light in the second image is obtained, wherein the wavelength of each second wave band is greater than the wavelength of each third wave band;

Step S14, determining the temperature field of the measured object according to the gray value of at least one band of the second image and the reference temperature of the measured object;

Step S15, determining the deformation field of the measured object according to the gray value of at least one target band of the second image, the target bands being a plurality of second bands and a plurality of third bands of the second image any of the .

The following is an exemplary introduction to the application environment of the multi-parameter synchronous measurement method.

Please refer to FIG. 2 , which shows a schematic diagram of a temperature deformation measurement system based on partition filtering according to an embodiment of the present disclosure.

In one example, as shown in FIG. 2 , the system includes a heating module 20 for generating a high-temperature environment to heat the measured object 10. For example, the heating module 20 may be in a high-temperature arc wind tunnel environment, Generate high-temperature heat flow with a local temperature exceeding 2000°C to heat the measured object. The heating module 20 may also be a high-temperature flame device, which is not limited in this embodiment of the present disclosure.

In one example, as shown in Figure 2, the system includes a light source 60 for emitting light of the first waveband to irradiate the surface of the measured object 10, for example, the light source 60 may include LCD (Liquid Crystal Display, liquid crystal display), LED (Light Emitting Diode, Light Emitting Diode), MiniLED (Mini Light Emitting Diode, Mini Light Emitting Diode), MicroLED (Micro Light Emitting Diode, Micro Light Emitting Diode), OLED (Organic Light-Emitting Diode, Organic Light Emitting Diode) Any one of lights or more.

In an example, as shown in FIG. 2 , the system may include an image acquisition module 40 . The image acquisition module 40 includes an acquisition unit 410 and a filter unit. The filter unit may include a polarization component 420 and a filter component 430 .

In one example, the acquisition unit 410 may include cameras of types such as a CCD (Charge-coupled Device, charge-coupled device) camera, a CMOS (Complementary Metal Oxide Semiconductor, complementary metal oxide semiconductor) camera, preferably, the acquisition unit 410 may include Multi-spectral camera, the embodiment of the present disclosure does not limit the type and specific model of the multi-spectral camera. Exemplary multi-spectral cameras may include multi-lens multi-spectral cameras, multi-camera multi-spectral cameras, beam splitting multi-spectral cameras, etc. . The waveband range of the multi-spectral camera may be in the range of 400-900nm or other ranges, and the embodiments of the present disclosure will be exemplarily introduced below with the waveband range being 400-900nm. Exemplarily, the number of channels of the multi-spectral camera is n, n is a positive number, and the specific value of the number of channels of the multi-spectral camera is not limited. Exemplarily, the number of channels of the spectral camera n≥16, for example, can be 16, 24 , 28, etc., wherein each channel corresponds to a different band, for example, the band range is 400-900nm, and the number of channels n is 16, then the band range of 400-900nm can be divided into 16 small bands corresponding to different channels.

Exemplarily, in the embodiment of the present disclosure, the division of the second wave band and the third wave band can be performed according to the number of channels of the multispectral camera, each channel can correspond to a wave band, and can be in the order of wavelengths corresponding to the wave bands from short to long, Part of the waveband with shorter wavelength is used as the third waveband, and part of the waveband with longer wavelength is used as the second waveband. The number of the second waveband and the third waveband can be selected according to needs. For example, for 16 channels, the bands corresponding to the first eight channels of the long band can be used as 8 second bands, and the bands corresponding to the last 8 channels of the short band can be used as 8 third bands. Of course, it is also possible Set the number of the second band and the third band according to the needs. For example, in the above example, the bands corresponding to the first 10 channels of the long band can also be used as 10 second bands, and the last 6 channels of the short band can be corresponding The wavebands are used as the six third wavebands, which is not limited in this embodiment of the present disclosure, as long as the wavelengths of each second waveband are greater than the wavelengths of each third waveband.

As shown in FIG. 3 , FIG. 3 shows a schematic diagram of a polarizing component according to an embodiment of the present disclosure.

In one example, the polarizing component 420 and the filtering component 430 are arranged in front of the lens of the camera of the collecting unit 410, and the polarizing component 420 may include at least one pair of polarizers to pass light in a specified direction, for example, as shown in FIG. 3 , Setting the angle of the two polarizers to 90 can make the light in the vertical direction incident, and the light in other directions is blocked. Exemplarily, the filtering unit 430 may include a band-pass filter for realizing band-pass filtering. Exemplarily, the passband of the band-pass filter may be set according to the first wavelength band to correspond to the light source 60 .

In one example, as shown in FIG. 2, the device can also include a temperature acquisition module 30, for example, a single-point thermometer, which can realize the acquisition of the single-point temperature of the surface to be measured. Exemplarily, it can be Set the reference point on the surface of the object to be measured to realize the acquisition of the reference temperature.

In one example, the device may also include a closed structure to seal the object to be measured in a closed space to improve the measurement effect. The air is fed through the air intake device and exhausted through the air outlet device. Infrared sensors can be set in the closed structure. Non-attenuation glass to realize the observation of the measured object.

It should be noted that each step in the method in the embodiment of the present disclosure may be implemented in various manners, and the possible implementation manners of each step in the method will be exemplarily introduced below.

In the embodiment of the present disclosure, when the measurement environment is configured, the light source is controlled to emit light in the first wavelength band to illuminate the measured object, and the image acquisition module is used to collect at least one image of the measured object when it is not heated, and the The measurement object is heated. During the heating process, at least one image of the measurement object is collected, and a reference temperature of a reference point of the measurement object when the image is captured can be obtained. Of course, during the process of temperature collection and image collection, the collected temperature and image can be stored in the memory.

In this embodiment of the present disclosure, the gray values of the multiple third bands of the first image can be corrected by using the gray values of the multiple second bands of the first image in various ways, and the gray values of the first image can be removed. Those skilled in the art can implement the radiation light in multiple third wavebands according to needs, as long as the radiation light in the multiple third wavebands of the first image can be removed, and an exemplary introduction will be given below.

Please refer to FIG. 4 , which shows a flow chart of obtaining a second image according to an embodiment of the present disclosure.

In a possible implementation manner, step S13 corrects the gray values of multiple third bands in the first image by using the gray values of multiple second bands in the first image, and removes the gray values of the first An image of radiated light in a plurality of third wavebands to obtain a second image may include:

Step S131, using the gray values of the plurality of second bands to obtain predicted gray values of each third band of the first image;

Step S132, using the gray value of each third band in the first image and the corresponding predicted gray value to obtain the gray value of each third band in the second image;

Step S133, using the gray values of the second bands in the first image and the gray values of the third bands in the second image to obtain the second image.

In the embodiment of the present disclosure, the gray values of multiple second bands in the long-wave band can be pre-stored to obtain the predicted gray values of the third bands excluding reflected light, and the gray values of the third bands in the first image can be used values and corresponding predicted gray values to obtain the gray values of the third bands in the second image, and remove the influence of radiation light in each band to obtain the second image.

Since the reflected light is not considered for the long wave, the predicted gray value of each third band (short wave band) obtained by using the gray value prediction of multiple second bands does not include reflected light, and the predicted gray value can be regarded as reflecting reflection Gray values other than light, that is, gray values including radiant light. The embodiment of the present disclosure may use multiple prediction methods to obtain the predicted gray value of each third band of the first image by using the gray values of the plurality of second bands, which is not limited in this embodiment of the present disclosure. By using the predicted gray value of each third band not including reflected light and the gray value of each third band in the first image including reflected light, the embodiments of the present disclosure can obtain the gray values of multiple third bands that eliminate radiated light. degree value.

In an example, the embodiment of the present disclosure preferably sets the number of second bands to be greater than or equal to the number of third bands (for example, in 16 channels, the number of second bands is greater than or equal to 8), so as to improve the prediction grayscale of each third band. Of course, those skilled in the art are not limited to this, by choosing a reasonable prediction method, such as building a model through a neural network, and increasing training samples, the number of the second wave band can be made smaller than the number of the third wave band , a relatively accurate prediction result is still obtained, which is not limited in this embodiment of the present disclosure.

The implementation manner of obtaining the predicted gray value of each third band by using the gray value of the plurality of second bands is exemplarily introduced below.

Please refer to FIG. 5 , which shows a schematic diagram of removing reflected light according to an embodiment of the present disclosure.

In a possible implementation manner, as shown in FIG. 4, step S131 uses the gray values of the plurality of second bands to obtain predicted gray values of each third band, which may include:

Step S1311, according to the black body radiation theorem, perform fitting processing based on the gray values of multiple second bands of the first image, to obtain fitting values of the gray values of each band of the first image;

Step S1312: Determine the predicted gray value of each third band of the first image according to the fitting value of the gray value of each band of the first image.

In an example, as shown in FIG. 5 , the embodiment of the present disclosure performs fitting processing based on the gray values of multiple second bands of the first image according to the blackbody radiation theorem, and can obtain the simulated gray value of the radiation. Since multiple second wavebands are long wavebands, there is no influence of reflected light. Therefore, the predicted grayscale values of each third waveband determined according to the fitting value of the grayscale values of each waveband in the first image have no reflection The influence of light, that is, only radiated light is included. In this case, the embodiment of the present disclosure can determine the predicted grayscale of each third band of the first image according to the fitting value of the grayscale value of each band of the first image. Of course, the embodiment of the present disclosure can use multiple methods to determine the predicted gray value of each third band of the first image according to the fitting value of the gray value of each band of the first image, the following is an example introduce.

Of course, the embodiment of the present disclosure can also use the gray values of the plurality of second bands to obtain the predicted gray value of each third band in other ways, for example, a gray value prediction model based on a neural network can be established in advance, After using the training data to train the gray value prediction model, the predicted gray value of each third band can be obtained through the trained gray value prediction model. For example, the gray value of multiple second bands can be input into the trained In the gray value prediction model, and determine the predicted gray value of each third band according to the output of the gray value prediction model. The embodiment of the present disclosure does not limit the specific implementation of the gray value prediction model, and those skilled in the art can use related technologies to realize it as needed, as long as they can obtain the prediction of each third band according to the gray values of multiple second bands grayscale value.

In a possible implementation manner, step S1312, using the gray value of each third band in the first image and the corresponding predicted gray value to obtain the gray value of each third band in the second image, Can include:

In an example, as shown in FIG. 5 , the embodiment of the present disclosure combines the grayscale values (channel grayscale values) of the third bands including reflected light and radiated light in the first image with the predicted grayscale values not including reflected light. The gray value of each third band that does not include the radiated light can be obtained by making a difference between the gray value, thereby eliminating the influence of the radiated light and improving the measurement accuracy.

Of course, this embodiment of the present disclosure is not limited to using the difference between the gray value of each third band in the first image and the corresponding predicted gray value to obtain the gray value of each third band in the second image. The gray value of each third band of the second image can also be obtained by using the trained gray value determination model. The gray value determination model can use the gray value of each third band in the first image and the corresponding The predicted gray value is input, and the gray value of each third band of the second image is determined according to the output; it is also possible to use the gray value of multiple second bands and the gray value of each third band of the first image Input, and determine the gray value of each third band of the second image based on the output. The embodiment of the present disclosure does not limit the specific implementation of the gray value determination model, and those skilled in the art can use related technologies to realize it as needed, as long as it can be based on the gray value of each third band in the first image and the corresponding or, according to the gray values of the plurality of second bands and the gray values of the third bands of the first image, the gray values of the third bands of the second image can be obtained.

In a possible implementation manner, step S14 determines the temperature field of the measured object according to the gray value of at least one band of the second image and the reference temperature of the measured object, which may include:

Wherein, the first target waveband is any one of the second waveband or the third waveband in the fourth waveband, and the wavelength of the fourth waveband is greater than the wavelength of the first waveband. In the embodiment of the present disclosure, the object to be measured is irradiated with light in the first waveband, and the wavelength of the fourth waveband is set to be greater than the wavelength of the first waveband to measure the temperature field, so that the temperature field of the object to be measured can be accurately obtained.

In order to further improve the accuracy of parameter measurement, in the embodiments of the present disclosure, when the temperature of the measured object is detected to be lower than the first preset temperature (for example, 1000°C, of course, in order to improve the accuracy of measurement, the temperature can be set higher than the lower limit temperature such as 200°C), according to the gray value of the first target band of the second image, the gray value of the first target band of the reference point of the second image and the reference temperature, determine the measured object The temperature field of the temperature field. Exemplarily, the embodiment of the present disclosure may use the difference between the gray value of the first target band of the reference point of the second image and the gray value of the first target band of the second image, and The reference temperature determines the temperature field of the measured object. Preferably, in the embodiment of the present disclosure, the first target waveband is set as the third waveband in the fourth waveband, so as to determine the temperature field by using the gray value of the third waveband that eliminates the radiated light, and further improve the accuracy of the temperature field.

In an example, the embodiment of the present disclosure may use a single colorimetric temperature measurement method to determine the temperature field T of the measured object, for example, it may be realized by using Formula 1:

Among them, C ₂ is Planck's constant, T ₀ is the temperature of the reference point, I ₁ is the gray value of the first target band, and I ₁₀ is the gray value of the image of the first target band λ ₁ at the reference point.

In one example, since the number of the second band and the third band can be selected, the lengths of the second band and the third band are also adaptively changed according to the range and number of the overall band. The selection of the first target band is not limited, and the first target band may be any second or third band in the fourth band.

Wherein, the second target band and the third target band are any two adjacent second or third bands in the fifth band, and the wavelength of the fifth band is greater than the wavelength of the first band , and less than the wavelength of the fourth band. Exemplarily, any two adjacent second wave bands or third wave bands may be any two adjacent second wave bands, or any two adjacent third wave bands, or adjacent second wave bands and third wave bands band. In the embodiments of the present disclosure, different methods are used to determine the temperature field for the fourth wave band and the fifth wave band, which can improve the accuracy of temperature field determination.

In order to further improve the accuracy of parameter measurement, the embodiment of the present disclosure detects that the temperature of the measured object is higher than the first preset temperature (of course, in order to improve the accuracy of measurement, an applicable upper limit temperature can be set, for example, to 3000°C). , according to the gray value of the second target band of the second image, the gray value of the third target band, the gray value of the second target band of the reference point of the second image, the gray value of the second image The grayscale value of the third target band of the reference point and the reference temperature are used to determine the temperature field of the measured object. For example, the embodiment of the present disclosure may be based on the grayscale value of the second target band of the second image , the ratio of the grayscale value of the third target band, and the grayscale value of the second target band of the reference point of the second image, the ratio of the grayscale value of the third target band of the reference point of the second image , and the reference temperature determines the temperature field of the measured object.

In the embodiments of the present disclosure, by setting the second target waveband and the third target waveband as any two adjacent second wavebands or third wavebands in the fifth waveband, the accuracy of determining the temperature field can be further improved. Preferably, in the embodiment of the present disclosure, the second target waveband and the third target waveband are set as any two adjacent third wavebands in the fifth waveband, so as to utilize the two adjacent third wavebands that eliminate the radiated light. The gray value of the band determines the temperature field, further improving the accuracy of the temperature field.

In an example, the embodiment of the present disclosure can determine the temperature field T of the measured object based on colorimetric thermometry, for example, it can be realized by using formula 2:

Wherein, C ₂ is Planck's constant, T ₀ is the reference temperature of the reference point, B ₁₂ is the gray value of the second target band λ ₂ of the second image, and the gray value of the third target band λ ₃ Ratio, B ₁₂₀ is the ratio of the gray value of the gray value _λ2 of the second target band to the gray value of the third target band _λ3 of the reference point of the second image.

Please refer to FIG. 6 , which shows a schematic diagram of a band range according to an embodiment of the present disclosure.

In one example, multiple second wave bands may cover the long-wave band part of the fourth wave band, or cover the entire wave band of the fourth wave band, or cover the entire wave band of the fourth wave band and part of the fifth wave band, and the multiple third wave bands The waveband corresponding to 400nm-550nm and part of the fifth waveband, or the entire fifth waveband, and/or part of the fourth waveband may be covered.

Exemplarily, as shown in Figure 6, it is assumed that the waveband of the first image (multispectral camera) is 400nm-900nm, if the number of channels of the multispectral camera is 16, assuming that the number of the second waveband and the third waveband are the same as 8 , then, each second wave band is 650nm-900nm, each third wave band is 400nm-650nm, the fourth wave band is 700nm-900nm, and the fifth wave band is 550nm-700nm. It can be seen that each second wave band is in the fourth wave band and some fifth wave bands. Among the wave bands, each third wave band is in the fifth wave band and the wave band corresponding to 400nm-550nm. That is, all the second wave bands and all the third wave bands can jointly constitute the complete receiving wave band of the multispectral camera, and the fourth wave band can include all the second wave bands, or include all the second wave bands and part of the third wave bands, or can include part of the second wave bands. band, the fifth band can include all the third band and part of the second band, for example, if the values of the second band and the third band are adjusted, such as the number of the second band and the third band are 4 and 12 respectively, then all The second wave bands are all in the fourth wave band, and the third wave bands are distributed in the fourth wave band, the fifth wave band and the corresponding wave bands of 400nm-550nm.

In a possible implementation manner, the method may also include:

Exemplarily, the embodiment of the present disclosure may use the temperature collection module 30 to collect the temperature of a preset reference point in the object to be measured, and use the temperature of the reference point as the reference temperature.

The embodiment of the present disclosure does not limit the specific implementation of determining the deformation field of the measured object according to the gray value of at least one target band of the second image, and those skilled in the art can use the DIC (Digital Image Correlation) method The calculation of the deformation field only needs to use the gray value of at least one target band of the second image. A possible implementation manner of determining the deformation field of the measured object according to the gray value of at least one target band of the second image is exemplarily introduced below.

In a possible implementation manner, step S15 determines the deformation field of the measured object according to the gray value of at least one target band of the second image, which may include:

Extract the gray value of the target band of the unheated initial image and the image under heating in the second image, and calculate the displacement field of the surface of the measured object. The gray value of the target band of the image determines the displacement relationship between each point of the initial image and the heated image, for example, the displacement field can be expressed by formula 3:

Among them, Δx, Δy represent the distance from the coordinate point (x, y) to the center of the reference region sub-region (x ₀ , y ₀ ), u and v represent the displacement of the reference region sub-region in the x and y directions respectively, u _x , u _y , v _x , v _y represent the displacement gradient of the image sub-region respectively.

The embodiment of the present disclosure does not limit the specific implementation method of determining the displacement field. Those skilled in the art can realize it according to related technologies, as long as the gray value of at least one target band in the second image is used, preferably using the gray value of the second image in the second image. Three bands of grayscale values to improve the accuracy of deformation field determination.

In the case of obtaining the displacement field, the deformation field of the surface of the measured object can be further determined.

In one example, the strain field can be calculated from the acquired displacement field:

Through the above method, the embodiment of the present disclosure can accurately determine the deformation field of the measured object according to the gray value of at least one target band in the second image. Preferably, if at least one third band in the second image is used The gray value can eliminate the influence of radiant light and further improve the accuracy.

It can be understood that the above-mentioned method embodiments mentioned in this disclosure can all be combined with each other to form a combined embodiment without violating the principle and logic. Due to space limitations, this disclosure will not repeat them. Those skilled in the art can understand that, in the above method in the specific implementation manner, the specific execution order of each step should be determined according to its function and possible internal logic.

In addition, the present disclosure also provides multi-parameter synchronous measurement devices, electronic equipment, computer-readable storage media, and programs, all of which can be used to implement any of the multi-parameter synchronous measurement methods provided by the present disclosure, corresponding technical solutions and descriptions and refer to methods Part of the corresponding records will not be repeated.

As shown in Figure 2, the multi-parameter synchronous measurement device proposed by the embodiment of the present disclosure includes:

A heating module 20, configured to heat the measured object 10;

A light source 60, configured to emit light in the first wavelength band to illuminate the measured object 10;

The image acquisition module 30 includes an acquisition unit 410 and a filter unit. The acquisition unit 410 includes an acquisition lens. The filter unit is arranged at the front end of the acquisition lens for passing light in a specified direction and a specified waveband. The acquisition unit for collecting images of the object to be measured;

The control module 50 is connected to the heating module 20, the light source 60 and the image acquisition module 40, for:

In a possible implementation manner, as shown in FIG. 2, the device further includes:

The temperature acquisition module 30 is configured to acquire the temperature of a preset reference point in the measured object, and use the temperature of the reference point as the reference temperature.

The embodiment of the present disclosure can realize the accurate measurement of the temperature field and the deformation field in a wider temperature range and a wider waveband range. It should be understood that the device corresponds to the aforementioned method. For the specific introduction, please refer to the previous method. description and will not be repeated here.

In some embodiments, the functions or modules included in the device provided by the embodiments of the present disclosure can be used to execute the methods described in the method embodiments above, and its specific implementation can refer to the description of the method embodiments above. For brevity, here No longer.

Embodiments of the present disclosure also provide a computer-readable storage medium, on which computer program instructions are stored, and the above-mentioned method is implemented when the computer program instructions are executed by a processor. The computer readable storage medium may be a non-transitory computer readable storage medium.

An embodiment of the present disclosure also proposes an electronic device, including: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to invoke the instructions stored in the memory to execute the above method.

An embodiment of the present disclosure also provides a computer program product, including computer-readable codes, or a non-volatile computer-readable storage medium carrying computer-readable codes, when the computer-readable codes are stored in a processor of an electronic device When running in the electronic device, the processor in the electronic device executes the above method.

Electronic devices may be provided as terminals, servers, or other forms of devices.

Please refer to FIG. 7 , which shows a block diagram of an electronic device according to an embodiment of the present disclosure.

For example, the electronic device 800 may be a terminal such as a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, or a personal digital assistant.

7, electronic device 800 may include one or more of the following components: processing component 802, memory 804, power supply component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814 , and the communication component 816.

The processing component 802 generally controls the overall operations of the electronic device 800, such as those associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above method. Additionally, processing component 802 may include one or more modules that facilitate interaction between processing component 802 and other components. For example, processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802 .

The memory 804 is configured to store various types of data to support operations at the electronic device 800 . Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, pictures, videos, and the like. The memory 804 can be implemented by any type of volatile or non-volatile storage device or their combination, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic or Optical Disk.

The power supply component 806 provides power to various components of the electronic device 800 . Power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for electronic device 800 .

The multimedia component 808 includes a screen providing an output interface between the electronic device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense a boundary of a touch or swipe action, but also detect duration and pressure associated with the touch or swipe action. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. When the electronic device 800 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capability.

The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a microphone (MIC), which is configured to receive external audio signals when the electronic device 800 is in operation modes, such as call mode, recording mode and voice recognition mode. Received audio signals may be further stored in memory 804 or sent via communication component 816 . In some embodiments, the audio component 810 also includes a speaker for outputting audio signals.

The I/O interface 812 provides an interface between the processing component 802 and a peripheral interface module, which may be a keyboard, a click wheel, a button, and the like. These buttons may include, but are not limited to: a home button, volume buttons, start button, and lock button.

Sensor assembly 814 includes one or more sensors for providing status assessments of various aspects of electronic device 800 . For example, the sensor component 814 can detect the open/closed state of the electronic device 800, the relative positioning of components, such as the display and the keypad of the electronic device 800, the sensor component 814 can also detect the electronic device 800 or a Changes in position of components, presence or absence of user contact with electronic device 800 , electronic device 800 orientation or acceleration/deceleration and temperature changes in electronic device 800 . Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. Sensor assembly 814 may also include an optical sensor, such as a complementary metal-oxide-semiconductor (CMOS) or charge-coupled device (CCD) image sensor, for use in imaging applications. In some embodiments, the sensor component 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.

The communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 can access a wireless network based on a communication standard, such as a wireless network (WiFi), a second generation mobile communication technology (2G) or a third generation mobile communication technology (3G), or a combination thereof. In an exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, Infrared Data Association (IrDA) technology, Ultra Wide Band (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, electronic device 800 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation for performing the methods described above.

In an exemplary embodiment, there is also provided a non-volatile computer-readable storage medium, such as the memory 804 including computer program instructions, which can be executed by the processor 820 of the electronic device 800 to implement the above method.

Please refer to FIG. 8 , which shows a block diagram of an electronic device according to an embodiment of the present disclosure.

For example, electronic device 1900 may be provided as a server. Referring to FIG. 8 , electronic device 1900 includes processing component 1922 , which further includes one or more processors, and a memory resource represented by memory 1932 for storing instructions executable by processing component 1922 , such as application programs. The application programs stored in memory 1932 may include one or more modules each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute instructions to perform the above method.

Electronic device 1900 may also include a power supply component 1926 configured to perform power management of electronic device 1900, a wired or wireless network interface 1950 configured to connect electronic device 1900 to a network, and an input-output (I/O) interface 1958 . The electronic device 1900 can operate based on the operating system stored in the memory 1932, such as the Microsoft server operating system (Windows Server ^TM ), the graphical user interface-based operating system (Mac OS X ^TM ) introduced by Apple Inc., and the multi-user and multi-process computer operating system (Unix ^™ ), a free and open source Unix-like operating system (Linux ^™ ), an open source Unix-like operating system (FreeBSD ^™ ), or the like.

In an exemplary embodiment, there is also provided a non-transitory computer-readable storage medium, such as the memory 1932 including computer program instructions, which can be executed by the processing component 1922 of the electronic device 1900 to implement the above method.

The present disclosure can be a system, method and/or computer program product. A computer program product may include a computer readable storage medium having computer readable program instructions thereon for causing a processor to implement various aspects of the present disclosure.

A computer readable storage medium may be a tangible device that can retain and store instructions for use by an instruction execution device. A computer readable storage medium may be, for example, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or flash memory), static random access memory (SRAM), compact disc read only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanically encoded device, such as a printer with instructions stored thereon A hole card or a raised structure in a groove, and any suitable combination of the above. As used herein, computer-readable storage media are not to be construed as transient signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., pulses of light through fiber optic cables), or transmitted electrical signals.

Computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or downloaded to an external computer or external storage device over a network, such as the Internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and/or edge servers. A network adapter card or a network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing/processing device .

Computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or Source or object code written in any combination, including object-oriented programming languages—such as Smalltalk, C++, etc., and conventional procedural programming languages—such as the “C” language or similar programming languages. Computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server implement. In cases involving a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as via the Internet using an Internet service provider). connect). In some embodiments, an electronic circuit, such as a programmable logic circuit, field programmable gate array (FPGA), or programmable logic array (PLA), can be customized by utilizing state information of computer-readable program instructions, which can Various aspects of the present disclosure are implemented by executing computer readable program instructions.

Aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It should be understood that each block of the flowcharts and/or block diagrams, and combinations of blocks in the flowcharts and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine such that when executed by the processor of the computer or other programmable data processing apparatus , producing an apparatus for realizing the functions/actions specified in one or more blocks in the flowchart and/or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause computers, programmable data processing devices and/or other devices to work in a specific way, so that the computer-readable medium storing instructions includes An article of manufacture comprising instructions for implementing various aspects of the functions/acts specified in one or more blocks in flowcharts and/or block diagrams.

It is also possible to load computer-readable program instructions into a computer, other programmable data processing device, or other equipment, so that a series of operational steps are performed on the computer, other programmable data processing device, or other equipment to produce a computer-implemented process , so that instructions executed on computers, other programmable data processing devices, or other devices implement the functions/actions specified in one or more blocks in the flowcharts and/or block diagrams.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, a portion of a program segment, or an instruction that includes one or more Executable instructions. In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified function or action , or may be implemented by a combination of dedicated hardware and computer instructions.

The computer program product can be specifically realized by means of hardware, software or a combination thereof. In an optional embodiment, the computer program product is embodied as a computer storage medium, and in another optional embodiment, the computer program product is embodied as a software product, such as a software development kit (Software Development Kit, SDK) etc. wait.

Having described various embodiments of the present disclosure above, the foregoing description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and alterations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principle of each embodiment, practical application or improvement of technology in the market, or to enable other ordinary skilled in the art to understand each embodiment disclosed herein.

Claims

A multi-parameter synchronous measurement method, characterized in that the method comprises:

controlling the light source to irradiate the measured object, wherein the light source emits light in the first wavelength band;

acquiring a first image of the measured object under the light source, wherein the first image includes at least one image when the measured object is not heated, and at least one image when the measured object is heated images;

Using the gray values of the multiple second bands of the first image to correct the gray values of the multiple third bands of the first image, removing radiation in the multiple third bands of the first image light to obtain a second image, wherein the wavelengths of the second wave bands are greater than the wavelengths of the third wave bands;

determining the temperature field of the measured object according to the gray value of at least one band of the second image and the reference temperature of the measured object;

Determining the deformation field of the measured object according to the gray value of at least one target band of the second image, where the target band is any one of a plurality of second bands and a plurality of third bands of the second image .
The method according to claim 1, wherein the gray values of the multiple third bands of the first image are corrected by using the gray values of the multiple second bands of the first image, removing the radiated light in multiple third wavebands of the first image to obtain a second image, including:

Obtaining the predicted gray value of each third band of the first image by using the gray value of the plurality of second bands;

Obtaining the gray value of each third band in the second image by using the gray value of each third band in the first image and the corresponding predicted gray value;

The second image is obtained by using the gray value of each second band in the first image and the gray value of each third band in the second image.
The method according to claim 2, wherein said obtaining the predicted gray value of each third band by using the gray values of said plurality of second bands comprises:

performing a fitting process based on the gray values of multiple second bands of the first image according to the blackbody radiation theorem, to obtain fitted values of the gray values of each band of the first image;

The predicted gray value of each third band of the first image is determined according to the fitting value of the gray value of each band of the first image.
The method according to claim 2, wherein the gray value of each third band in the second image is obtained by using the gray value of each third band in the first image and the corresponding predicted gray value. degree values, including:

The gray value of each third band in the second image is obtained by using the difference between the gray value of each third band in the first image and the corresponding predicted gray value.
The method according to claim 1, wherein the temperature field of the measured object is determined according to the gray value of at least one band of the second image and the reference temperature of the measured object, include:

When the temperature of the measured object is lower than the first preset temperature, according to the gray value of the first target band of the second image and the gray value of the first target band of the reference point of the second image and the reference temperature, determining the temperature field of the measured object,

Wherein, the first target waveband is any one of the second waveband or the third waveband in the fourth waveband, and the wavelength of the fourth waveband is greater than the wavelength of the first waveband.
The method according to claim 1 or 5, wherein the temperature of the measured object is determined according to the gray value of at least one band of the second image and the reference temperature of the measured object fields, including:

When the temperature of the measured object is higher than the first preset temperature, according to the gray value of the second target band of the second image, the gray value of the third target band, and the reference point of the second image The gray value of the second target band, the gray value of the third target band of the reference point of the second image, and the reference temperature, determine the temperature field of the measured object,

Wherein, the second target band and the third target band are any two adjacent second or third bands in the fifth band, and the wavelength of the fifth band is greater than the wavelength of the first band , and less than the wavelength of the fourth band.
The method according to claim 6, characterized in that, the first waveband is any one of 400nm-550nm, the fourth waveband is 700-900nm, and the fifth waveband has a wavelength of 550nm-700nm, The preset temperature is 900°C-1100°C.
The method according to claim 1, further comprising:

Acquiring the temperature of a preset reference point in the measured object, and using the temperature of the reference point as the reference temperature.
A multi-parameter synchronous measurement device, characterized in that the device comprises:

The heating module is used to heat the object to be measured;

A light source, used to emit light in the first wavelength band to irradiate the object to be measured;

The image acquisition module includes an acquisition unit and a filter unit, the acquisition unit includes an acquisition lens, the filter unit is arranged at the front end of the acquisition lens, and is used to pass light in a specified direction and in a specified waveband, and the acquisition unit is used to acquire an image of the measured object;

A control module, connected to the heating module, the light source and the image acquisition module, for:

acquiring a first image of the measured object under the light source, wherein the first image includes at least one image when the measured object is not heated, and at least one image when the measured object is heated images;

Using the gray values of the multiple second bands of the first image to correct the gray values of the multiple third bands of the first image, removing radiation in the multiple third bands of the first image light to obtain a second image, wherein the wavelengths of the second wave bands are greater than the wavelengths of the third wave bands;

determining the temperature field of the measured object according to the gray value of at least one band of the second image and the reference temperature of the measured object;

Determining the deformation field of the measured object according to the gray value of at least one target band of the second image, where the target band is any one of a plurality of second bands and a plurality of third bands of the second image .
An electronic device, characterized in that it comprises:

processor;

memory for storing processor-executable instructions;

Wherein, the processor is configured to invoke instructions stored in the memory to execute the method according to any one of claims 1-9.
A computer-readable storage medium on which computer program instructions are stored, wherein the computer program instructions implement the method according to any one of claims 1 to 9 when executed by a processor.