Method and device for measuring temperature of tail flame of engine based on ultraviolet spectrum broadening

Abstract

The invention relates to an engine tail flame temperature measuring method and device based on ultraviolet spectrum broadening, and the method comprises the steps: simulating an ideal combustion process to generate an engine tail flame ultraviolet visible light-emitting spectrum, and collecting an ideal environment temperature before combustion; the ultraviolet visible light emission spectrum of the engine tail flame comprises an ideal environment spectrum before combustion and an ideal tail flame spectrum during combustion; collecting an actual environment spectrum and an actual tail flame spectrum; obtaining ideal environment spectrum data, actual environment spectrum data, ideal tail flame spectrum data and actual tail flame spectrum data; obtaining a first incidence relation between the temperature and the ultraviolet spectrum broadening; obtaining an actual environment temperature based on the actual environment spectrum data and the first association relationship, and obtaining a calculation error based on the actual environment temperature and an ideal environment temperature before combustion; and the engine tail flame temperature is obtained based on the actual tail flame spectrum and the first incidence relation, the engine tail flame temperature is corrected based on the calculation error, and measurement of the engine tail flame temperature is completed.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of aerospace power equipment, and particularly relates to an engine plume temperature measurement method and device based on ultraviolet spectrum broadening. BACKGROUND

[0002] In many fields such as aerospace, energy power, etc., the accurate measurement of high-temperature plume temperature is of great importance. Accurate acquisition of plume temperature information not only helps to evaluate engine performance and optimize combustion process, but also has key significance for ensuring safe operation of equipment. However, the current traditional plume measurement technology has exposed a series of limitations in practical application, which seriously restricts the development of related fields.

[0003] In the traditional contact measurement method, thermocouple is a relatively common one. The working principle of thermocouple is based on the thermoelectric effect of two different metal conductors, and the temperature information is obtained by measuring the thermoelectric electromotive force. However, this method has many disadvantages in the plume measurement scene. Firstly, the high-temperature environment of the plume is usually accompanied by strong chemical corrosion, and the thermocouple is in such harsh conditions for a long time, so its material is easily eroded, which affects the accuracy and stability of the measurement. Secondly, the response speed of thermocouple is slow, usually only milliseconds. In some cases where the dynamic flow field changes rapidly, such as engine starting, accelerating or decelerating process, the millisecond-level response speed cannot accurately capture the rapid changes of plume temperature in time, resulting in distortion of the measurement data. Thirdly, since the thermocouple needs to be placed directly in the flow field, its existence inevitably disturbs the original form and characteristics of the plume flow field, so that the measurement result is not the real plume temperature state, especially for the dynamic flow field measurement demand which is sensitive to disturbance, the influence of this disturbance is more significant, which greatly reduces the reliability and effectiveness of the measurement data.

[0004] Traditional non-contact measurement methods also have their own problems. Infrared temperature measurement method, which is mainly based on the infrared radiation characteristics of the object to infer its temperature. This method has the advantages of non-contact, fast response speed in theory, but when applied to the plume measurement of gas-solid two-phase flow, the measurement results are highly dependent on the assumption of the emissivity of the object, and in the complex gas-solid two-phase flow environment containing Al2O3 particles such as solid rocket plume, the existence of particles makes it difficult to accurately determine the emissivity, resulting in significant increase in measurement error, which cannot meet the requirements of high-precision measurement. Laser-induced breakdown spectroscopy method, which emits high-energy laser pulses to the measured substance to produce plasma, and then determines the composition and temperature of the substance according to the spectral characteristics of the plasma. However, this method requires an external complex laser excitation system, not only the equipment cost is high, but also the stability and reliability of the system are challenged in extreme environments (such as high temperature, high pressure, strong vibration, etc. in the plume environment), making it difficult to achieve long-term stable measurement. Double-line temperature measurement method, which uses the relationship between the atomic spectral intensity ratio of a specific metal element and the temperature to measure the temperature. However, the application scope of this method is extremely limited, because it is highly dependent on the presence and concentration of a specific metal element in the plume. If the chemical composition of the plume changes or lacks the specific metal element, the method cannot work properly, greatly limiting its versatility in different types of plume measurement.

[0005] The existing ultraviolet spectral temperature measurement method also has shortcomings. The current OH radical concentration measurement or double-wavelength radiation temperature measurement method based on absorption spectrum, although to some extent, makes use of the ultraviolet spectral characteristics, but does not fully exploit the measurement potential contained in the important spectral broadening characteristic. Although the Doppler broadening technique has certain application in atmospheric temperature measurement field, the atmospheric environment is quite different from the high temperature, high pressure and complex chemical composition environment of the plume, and it is not optimized for plume measurement, resulting in a big discount in applicability and accuracy in plume temperature measurement.

[0006] As can be seen, the existing plume measurement technology, whether contact or non-contact, has its own defects, and it is difficult to meet the demand for accurate, real-time and reliable measurement of plume temperature today, and it is urgent to develop a more advanced and effective plume temperature measurement scheme. SUMMARY

[0007] The technical problem to be solved by the present application is to provide a plume temperature measurement method and device based on ultraviolet spectral broadening.

[0008] To achieve the above-mentioned application purposes, the present application provides a plume temperature measurement method based on ultraviolet spectral broadening, comprising the following steps: S1. Constructing an ideal environment and simulating an ideal combustion process to generate an engine plume ultraviolet-visible light spectrum for reference, and collecting an ideal environment temperature before combustion, wherein the engine plume ultraviolet-visible light spectrum comprises: an ideal environment spectrum before combustion, and an ideal plume spectrum during combustion; S2. Collecting an actual environment spectrum of an engine plume position before actual test, and an actual plume spectrum of the engine plume position during actual test; S3. Obtaining ideal environment spectrum data based on the ideal environment spectrum before combustion, obtaining actual environment spectrum data based on the actual environment spectrum, obtaining ideal plume spectrum data based on the ideal plume spectrum, and obtaining actual plume spectrum data based on the actual plume spectrum; Obtaining a relationship formula between Doppler broadening half-width and temperature, and correcting the relationship formula based on the ideal environment spectrum data, the actual environment spectrum data, the ideal plume spectrum data, and the actual plume spectrum data to obtain a first correlation relationship between temperature and ultraviolet spectrum broadening; S4. Obtaining an actual environment temperature before actual test based on the actual environment spectrum data and the first correlation relationship, and obtaining a temperature calculation error based on the actual environment temperature and the ideal environment temperature before combustion; S5. Obtaining an engine plume temperature based on the actual plume spectrum and the first correlation relationship, and correcting the engine plume temperature based on the temperature calculation error to complete measurement of the engine plume temperature.

[0009] According to an aspect of the present application, in step S1, the ideal environment is constructed and the ideal combustion process is simulated by using simulation software combined with a radiation model.

[0010] According to an aspect of the present application, in step S1, in the step of generating an engine plume ultraviolet-visible light spectrum for reference, the ideal environment spectrum before combustion comprises: a first waveband ideal environment spectrum and a second waveband ideal environment spectrum, and the ideal plume spectrum during combustion comprises: a first waveband ideal plume spectrum and a second waveband ideal plume spectrum.

[0011] According to an aspect of the present application, in step S2, in the step of collecting an actual environment spectrum of an engine plume position before actual test, and an actual plume spectrum of the engine plume position during actual test, the actual environment spectrum comprises: a first waveband actual environment spectrum and a second waveband actual environment spectrum, and the actual plume spectrum comprises: a first waveband actual plume spectrum and a second waveband actual plume spectrum.

[0012] According to one aspect of the present application, in step S3, the step of obtaining ideal ambient spectrum data based on the ideal ambient spectrum before combustion, the ideal ambient spectrum data comprises: a first ideal ambient spectrum width, a second ideal ambient spectrum width, a first ideal ambient spectrum intensity, a second ideal ambient spectrum intensity; The first ideal ambient spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on the first center wavelength position in the first waveband ideal ambient spectrum; The first ideal ambient spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on the first center wavelength position in the first waveband ideal ambient spectrum; The second ideal ambient spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on the second center wavelength position in the second waveband ideal ambient spectrum; The second ideal ambient spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on the second center wavelength position in the second waveband ideal ambient spectrum; In step S3, the step of obtaining actual ambient spectrum data based on the actual ambient spectrum, the actual ambient spectrum data comprises: a first actual ambient spectrum width, a second actual ambient spectrum width, a first actual ambient spectrum intensity, a second actual ambient spectrum intensity; The first actual ambient spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on the first center wavelength position in the first waveband actual ambient spectrum; The first actual ambient spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on the first center wavelength position in the first waveband actual ambient spectrum; The second actual ambient spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on the second center wavelength position in the second waveband actual ambient spectrum; The second actual ambient spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on the second center wavelength position in the second waveband actual ambient spectrum; In step S3, the step of obtaining ideal plume spectrum data based on the ideal plume spectrum, the ideal plume spectrum data comprises: a first ideal plume spectrum width, a second ideal plume spectrum width, a first ideal plume spectrum intensity, a second ideal plume spectrum intensity; The first ideal plume spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on the first center wavelength position in the first waveband ideal plume spectrum; The first ideal plume spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on the first center wavelength position in the first waveband ideal plume spectrum; The second ideal plume spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on the second center wavelength position in the second waveband ideal plume spectrum; the second actual plume spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on the second center wavelength position in the second waveband actual plume spectrum; In step S3, in the step of acquiring actual plume spectrum data based on the actual plume spectrum, the actual plume spectrum data includes: a first actual plume spectrum width, a second actual plume spectrum width, a first actual plume spectrum intensity, and a second actual plume spectrum intensity; the first actual plume spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on the first center wavelength position in the first waveband actual plume spectrum; the first actual plume spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on the first center wavelength position in the first waveband actual plume spectrum; the second actual plume spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on the second center wavelength position in the second waveband actual plume spectrum; the second actual plume spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on the second center wavelength position in the second waveband actual plume spectrum.

[0013] According to one aspect of the present application, in step S3, in the step of acquiring a relationship formula of Doppler width half-width and temperature, and correcting the relationship formula based on ideal environment spectrum data and actual environment spectrum data to obtain a first correlation between temperature and ultraviolet spectrum width, the step includes: the relationship formula of Doppler width half-width and temperature is acquired and expressed as: ; wherein, Doppler width half-width is represented by, the center wavelength of the spectral line is represented by, the Boltzmann constant is represented by, temperature is represented by, particle mass is represented by, light speed is represented by; a correction formula for correcting the relationship formula is obtained based on ideal environment spectrum data and actual environment spectrum data, and is expressed as: ; ; ; ; ; ; ; wherein, representing a center wavelength spectral broadening, , , , , , respectively are reference coefficients for calibration, represents a first ideal ambient spectral intensity, represents a first actual ambient spectral intensity, represents a second ideal ambient spectral intensity, represents a second actual ambient spectral intensity, represents a first ideal ambient spectral broadening, represents a first actual ambient spectral broadening, represents a second ideal ambient spectral broadening, represents a second actual ambient spectral broadening, represents a first ideal plume spectral intensity, represents a first actual plume spectral intensity, represents a second ideal plume spectral intensity, represents a second actual plume spectral intensity. The correction formula and the relationship formula are combined to complete the correction of the relationship formula, and a first correlation relationship is obtained.

[0014] According to an aspect of the present application, in step S4, the actual ambient temperature before the actual test is obtained based on the actual ambient spectral data and the first correlation relationship, and in the step of obtaining the temperature calculation error based on the actual ambient temperature and the ideal ambient temperature before combustion, the temperature calculation error includes: a first calculation error and a second calculation error. The first calculation error is obtained based on the following steps: The first actual ambient spectral broadening is brought into the first correlation relationship to obtain the first actual ambient temperature corresponding to the first actual ambient spectral broadening; The error percentage of the first actual ambient temperature relative to the ideal ambient temperature before combustion is obtained as the first calculation error based on the difference between the first actual ambient temperature and the ideal ambient temperature before combustion; The second calculation error is obtained based on the following steps: The second actual ambient spectral broadening is brought into the first correlation relationship to obtain the second actual ambient temperature corresponding to the second actual ambient spectral broadening; The error percentage of the second actual ambient temperature relative to the ideal ambient temperature before combustion is obtained as the second calculation error based on the difference between the second actual ambient temperature and the ideal ambient temperature before combustion.

[0015] According to one aspect of the present application, in step S5, the engine plume temperature is obtained based on the actual plume spectrum and the first correlation relationship, and the engine plume temperature is corrected based on the temperature calculation error, and the step of measuring the engine plume temperature comprises: The first actual plume spectrum is widened and brought into the first correlation relationship to obtain the first engine plume temperature corresponding to the first actual plume spectrum widening; The second actual plume spectrum is widened and brought into the first correlation relationship to obtain the second engine plume temperature corresponding to the second actual plume spectrum widening; The first engine plume temperature is corrected based on the first calculation error, and the second engine plume temperature is corrected based on the second calculation error, and the corrected first engine plume temperature and the second engine plume temperature are summarized to obtain the measurement result of the engine plume temperature.

[0016] According to one aspect of the present application, it further comprises: S6. Based on all the wavelengths contained in the first wave band as the first center wavelength respectively, a series of first actual plume spectrum widenings corresponding thereto are collected in the actual plume spectrum, and based on all the wavelengths contained in the second wave band as the second center wavelength respectively, a series of second actual plume spectrum widenings corresponding thereto are collected in the actual plume spectrum; Step S5 is repeatedly executed to obtain a series of corrected first engine plume temperatures and second engine plume temperatures, and the first engine plume temperatures and the second engine plume temperatures are summarized and fitted to obtain the complete measurement result of the engine plume temperature.

[0017] To achieve the above-mentioned application purposes, the present application provides an engine plume temperature measurement device based on ultraviolet spectrum widening, comprising: An ideal combustion spectrum data module is used to construct an ideal environment and simulate an ideal combustion process to generate an engine plume ultraviolet-visible light spectrum for reference, and to collect an ideal environment temperature before combustion, wherein the engine plume ultraviolet-visible light spectrum comprises an ideal environment spectrum before combustion and an ideal plume spectrum during combustion; A spectrum data collection module is used to collect an actual environment spectrum of an actual engine plume position before actual test and an actual plume spectrum of the actual engine plume position during actual test; A data processing module is used to obtain ideal environment spectrum data based on the ideal environment spectrum before combustion, to obtain actual environment spectrum data based on the actual environment spectrum, to obtain ideal plume spectrum data based on the ideal plume spectrum, and to obtain actual plume spectrum data based on the actual plume spectrum; The relationship formula between the Doppler broadening half-width and temperature is acquired, and the relationship formula is corrected based on ideal environment spectrum data, actual environment spectrum data, ideal plume spectrum data and actual plume spectrum data, so as to obtain a first correlation relationship between temperature and ultraviolet spectrum broadening; The actual environment temperature before actual test is obtained based on the actual environment spectrum data and the first correlation relationship, and the temperature calculation error is obtained based on the actual environment temperature and the ideal environment temperature before combustion. The engine plume temperature is obtained based on the actual plume spectrum and the first correlation relationship, and the engine plume temperature is corrected based on the temperature calculation error, so as to complete the measurement of the engine plume temperature.

[0018] According to one scheme of the present application, the scheme utilizes the advantage of ultraviolet spectrum broadening, and based on the fact that the ultraviolet characteristic spectrum of active species in the plume is dominated by Doppler broadening, the half-width (FWHM) thereof is directly quantitatively related to temperature, so that non-contact high-precision measurement can be realized. Compared with the traditional method which does not effectively separate Doppler broadening from other broadening factors and lacks an algorithm model suitable for complex flow fields (such as rarefied environment and gas-solid two-phase flow), the scheme has more obvious measurement advantages.

[0019] According to one scheme of the present application, the scheme can combine a dynamic threshold adjustment mechanism, and can measure the plume temperature of the engine in real time, so as to have higher sensitivity and real-time performance.

[0020] According to one scheme of the present application, through real-time analysis of the ultraviolet spectrum characteristics of the engine plume, real-time temperature measurement is performed, so that the problem that the traditional method cannot measure the temperature of the high-temperature combustion plume is well solved. The ultraviolet spectrum temperature measurement can correct the optical system according to the tested environment, has higher accuracy and adaptability, significantly improves the sensitivity and accuracy of high-temperature plume temperature measurement, makes up for the problem that the traditional contact measurement affects the flow field itself, and fills the blank of high-temperature measurement by using ultraviolet spectrum Doppler broadening.

[0021] According to one scheme of the present application, the method of modeling by using actual environment data and ideal data and calibrating by using real-time data can calibrate the model in real time according to the real-time collected engine plume spectrum data, so that the detection process can adapt to different working conditions and environmental changes, and the real-time changing test model can also improve the accuracy of detection.

[0022] According to one scheme of the present application, the scheme realizes automatic test and abnormal error correction functions, automatically generates a new model and recalibrates when an abnormal calculation result is detected, and improves the temperature measurement efficiency.

[0023] According to one of the schemes of the present application, the scheme not only enhances the real-time performance of the temperature measurement method, but also significantly improves the system applicability, and can be well used for the transient combustion tail flame measurement in complex environments such as high temperature and high pressure.

[0024] According to one of the schemes of the present application, in the scheme, the corresponding center wavelength and spectral broadening can be selected based on specific molecules in the combustion tail flame, thereby, the accurate calculation of the temperature can be realized based on the obvious characteristics of the selected specific molecules in the corresponding wave band, the interference of other tail flame products in the wave band is effectively avoided, and the detection accuracy of the scheme is fully ensured.

[0025] According to one of the schemes of the present application, in the scheme, if the collected spectrum is closer to the Gaussian distribution, the corresponding Doppler broadening is more dominant, thereby, the measurement error caused by other factors such as pressure and particle collision can be effectively eliminated by accurately collecting the spectrum data, the control scheme of the scheme for the measurement error is more unique, and the scheme is convenient and reliable, and has the advantages of easy implementation, low difficulty, real-time correction, etc. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 The figure is a step diagram of an engine tail flame temperature measurement method based on ultraviolet spectral broadening according to one of the embodiments of the present application. DETAILED DESCRIPTION

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creating laborious work based on these drawings.

[0028] When describing the embodiments of the present application, the terms "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" express the orientation or positional relationship based on the orientation or positional relationship shown in the relevant drawings, which is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, therefore, the above terms cannot be understood as a limitation of the present application.

[0029] The present application will be described in detail below in combination with the drawings and specific embodiments, and the embodiments cannot be described one by one here, but the embodiments of the present application are not limited to the following embodiments.

[0030] As Figure 1As shown, according to one embodiment of the present invention, a method for measuring engine exhaust flame temperature based on ultraviolet spectral broadening includes the following steps: S1. Construct an ideal environment and simulate an ideal combustion process to generate an engine exhaust flame ultraviolet-visible emission spectrum for reference, and collect the ideal ambient temperature before combustion. The engine exhaust flame ultraviolet-visible emission spectrum includes: the ideal ambient spectrum before combustion and the ideal exhaust flame spectrum during combustion. S2. Collect the actual environmental spectrum of the engine exhaust flame position before the actual test and the actual exhaust flame spectrum of the engine exhaust flame position during the actual test; S3. Obtain ideal environmental spectral data based on the ideal environmental spectrum before combustion, obtain actual environmental spectral data based on the actual environmental spectrum, obtain ideal exhaust flame spectral data based on the ideal exhaust flame spectrum, and obtain actual exhaust flame spectral data based on the actual exhaust flame spectrum. The formula relating Doppler broadening full width at half maximum (FWHM) to temperature was obtained, and the formula was modified based on ideal environmental spectral data, actual environmental spectral data, ideal exhaust flame spectral data, and actual exhaust flame spectral data to obtain the first correlation between temperature and ultraviolet spectral broadening. S4. Based on the actual environmental spectral data and the first correlation, obtain the actual environmental temperature before the actual test, and obtain the temperature calculation error based on the actual environmental temperature and the ideal environmental temperature before combustion; S5. Based on the actual exhaust flame spectrum and the first correlation, the engine exhaust flame temperature is obtained, and the engine exhaust flame temperature is corrected based on the temperature calculation error to complete the measurement of the engine exhaust flame temperature.

[0031] According to one embodiment of the present invention, in step S1, an ideal environment is constructed and an ideal combustion process is simulated. The ideal environment is constructed by combining simulation software with a radiation model, and the ideal combustion process is simulated. Specifically, the ANSYS simulation software is used and the radiative transfer equation (RTE) is solved using a narrowband model based on the HITEMP database.

[0032] like Figure 1 As shown, according to one embodiment of the present invention, in step S1, the step of generating the ultraviolet-visible emission spectrum of the engine exhaust flame for reference includes: the ideal environment spectrum before combustion includes: a first-band ideal environment spectrum and a second-band ideal environment spectrum; the ideal exhaust flame spectrum during combustion includes: a first-band ideal exhaust flame spectrum and a second-band ideal exhaust flame spectrum. In this embodiment, based on the constructed ideal environment, the ideal environment spectrum before combustion and the ideal exhaust flame spectrum during combustion can be directly acquired by parameters at different stages of the ideal environment, which will not be elaborated here. In this embodiment, the constructed ideal environment needs to be set according to the actual test environment, which will also not be elaborated here.

[0033] According to an embodiment of the present application, in step S2, the actual ambient spectrum includes a first waveband actual ambient spectrum and a second waveband actual ambient spectrum, and the actual plume spectrum includes a first waveband actual plume spectrum and a second waveband actual plume spectrum. In this embodiment, the actual test is based on a physical model, and the required spectrum can be directly collected based on a spectrometer.

[0034] According to an embodiment of the present application, in step S3, the ideal ambient spectrum data includes a first ideal ambient spectrum width, a second ideal ambient spectrum width, a first ideal ambient spectrum intensity, and a second ideal ambient spectrum intensity. In this embodiment, the first ideal ambient spectrum width is obtained by averaging a plurality of spectrum widths extracted at the first center wavelength position in the first waveband ideal ambient spectrum; the first waveband is 230-270 nm; the first center wavelength can be selected based on the spectral characteristics of the elements contained in the engine plume, for example, the first center wavelength is 250 nm. Further, to eliminate the random error of the collected first ideal ambient spectrum width, 10 groups of spectrum widths can be extracted at the first center wavelength position in the first waveband and averaged to obtain a more accurate first ideal ambient spectrum width.

[0035] In this embodiment, the first ideal ambient spectrum intensity is obtained by averaging a plurality of spectrum intensities extracted at the first center wavelength position in the first waveband ideal ambient spectrum; the first waveband is 230-270 nm; the first center wavelength can be selected based on the spectral characteristics of the elements contained in the engine plume, for example, the first center wavelength is 250 nm. Further, to eliminate the random error of the collected first ideal ambient spectrum intensity, 10 groups of spectrum intensities can be extracted at the first center wavelength position in the first waveband and averaged to obtain a more accurate first ideal ambient spectrum intensity.

[0036] In the embodiment, the second ideal environment spectrum width is obtained by averaging a plurality of groups of spectral widths extracted at the second center wavelength position in the second waveband ideal environment spectrum; the second waveband used is a wavelength range of 387 nm to 393 nm; in the embodiment, the second center wavelength used can be selected based on the spectral characteristics exhibited by the elements contained in the engine plume, for example, the second center wavelength is selected as 391 nm. Further, to eliminate the random error of the collected second ideal environment spectrum width, 10 groups of spectral widths extracted at the second center wavelength position in the second waveband can be averaged to obtain a more accurate second ideal environment spectrum width.

[0037] In the embodiment, the second ideal environment spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted at the second center wavelength position in the second waveband ideal environment spectrum; the second waveband used is a wavelength range of 387 nm to 393 nm; in the embodiment, the second center wavelength used can be selected based on the spectral characteristics exhibited by the elements contained in the engine plume, for example, the second center wavelength is selected as 391 nm. Further, to eliminate the random error of the collected second ideal environment spectrum intensity, 10 groups of spectral widths extracted at the second center wavelength position in the second waveband can be averaged to obtain a more accurate second ideal environment spectrum intensity.

[0038] According to an embodiment of the present application, in step S3, the actual environment spectrum data includes: the first actual environment spectrum width, the second actual environment spectrum width, the first actual environment spectrum intensity, and the second actual environment spectrum intensity. In the embodiment, the first actual environment spectrum width is obtained by averaging a plurality of groups of spectral widths extracted at the first center wavelength position in the first waveband actual environment spectrum; the first waveband used is a wavelength range of 230 nm to 270 nm; in the embodiment, the first center wavelength used can be selected based on the spectral characteristics exhibited by the elements contained in the engine plume, for example, the first center wavelength is selected as 250 nm. Further, to eliminate the random error of the collected first actual environment spectrum width, 10 groups of spectral widths extracted at the first center wavelength position in the first waveband can be averaged to obtain a more accurate first actual environment spectrum width.

[0039] In the embodiment, the first actual environment spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted at a first center wavelength position in the first waveband of the first actual environment spectrum; wherein the first waveband is a wavelength range of 230nm-270nm; in the embodiment, the first center wavelength can be selected based on the spectral characteristics exhibited by the elements contained in the engine plume, for example, the first center wavelength is selected as 250nm. Further, to eliminate the random error of the collected first actual environment spectrum intensity, 10 groups of spectral intensities extracted at the first center wavelength position in the first waveband can be averaged to obtain a more accurate first actual environment spectrum intensity.

[0040] In the embodiment, the second actual environment spectrum width is obtained by averaging a plurality of groups of spectral widths extracted at a second center wavelength position in the second waveband of the second actual environment spectrum; wherein the second waveband is a wavelength range of 387nm-393nm; in the embodiment, the second center wavelength can be selected based on the spectral characteristics exhibited by the elements contained in the engine plume, for example, the second center wavelength is selected as 391nm. Further, to eliminate the random error of the collected second actual environment spectrum width, 10 groups of spectral widths extracted at the second center wavelength position in the second waveband can be averaged to obtain a more accurate second actual environment spectrum width.

[0041] In the embodiment, the second actual environment spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted at a second center wavelength position in the second waveband of the second actual environment spectrum; wherein the second waveband is a wavelength range of 387nm-393nm; in the embodiment, the second center wavelength can be selected based on the spectral characteristics exhibited by the elements contained in the engine plume, for example, the second center wavelength is selected as 391nm. Further, to eliminate the random error of the collected second actual environment spectrum intensity, 10 groups of spectral widths extracted at the second center wavelength position in the second waveband can be averaged to obtain a more accurate second actual environment spectrum intensity.

[0042] According to an embodiment of the present application, in step S3, the ideal plume spectrum data comprises a first ideal plume spectrum width, a second ideal plume spectrum width, a first ideal plume spectrum intensity, and a second ideal plume spectrum intensity. In this embodiment, the first ideal plume spectrum width is obtained by averaging a plurality of spectrum widths extracted at the first center wavelength position in the first waveband of the ideal plume spectrum, wherein the first waveband is a wavelength range of 230 nm to 270 nm. In this embodiment, the first center wavelength can be selected based on the spectral characteristics of the elements contained in the engine plume, for example, the first center wavelength is selected as 250 nm. Further, to eliminate the random error of the collected first ideal plume spectrum width, 10 groups of spectrum widths extracted at the first center wavelength position in the first waveband can be averaged to obtain a more accurate first ideal plume spectrum width.

[0043] In this embodiment, the first ideal plume spectrum intensity is obtained by averaging a plurality of spectrum intensities extracted at the first center wavelength position in the first waveband of the ideal plume spectrum, wherein the first waveband is a wavelength range of 230 nm to 270 nm. In this embodiment, the first center wavelength can be selected based on the spectral characteristics of the elements contained in the engine plume, for example, the first center wavelength is selected as 250 nm. Further, to eliminate the random error of the collected first ideal plume spectrum intensity, 10 groups of spectrum widths extracted at the first center wavelength position in the first waveband can be averaged to obtain a more accurate first ideal plume spectrum intensity.

[0044] In this embodiment, the second ideal plume spectrum width is obtained by averaging a plurality of spectrum widths extracted at the second center wavelength position in the second waveband of the ideal plume spectrum, wherein the second waveband is a wavelength range of 387 nm to 393 nm. In this embodiment, the second center wavelength can be selected based on the spectral characteristics of the elements contained in the engine plume, for example, the second center wavelength is selected as 391 nm. Further, to eliminate the random error of the collected second ideal plume spectrum width, 10 groups of spectrum widths extracted at the second center wavelength position in the second waveband can be averaged to obtain a more accurate second ideal plume spectrum width.

[0045] In the embodiment, the second ideal plume spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on a second center wavelength position in the second waveband ideal plume spectrum; the second waveband used is a wavelength range of 387 nm to 393 nm; in the embodiment, the second center wavelength used can be selected based on spectral characteristics exhibited by elements contained in the engine plume, for example, the second center wavelength is selected as 391 nm. Further, to eliminate random errors of the second ideal plume spectrum intensity collected, 10 groups of spectral widths can be extracted at the second center wavelength position in the second waveband and averaged to obtain a more accurate second ideal plume spectrum intensity.

[0046] According to an embodiment of the present application, in step S3, in the step of obtaining actual plume spectrum data based on the actual plume spectrum, the actual plume spectrum data includes: a first actual plume spectrum width, a second actual plume spectrum width, a first actual plume spectrum intensity, and a second actual plume spectrum intensity; in the embodiment, the first actual plume spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on a first center wavelength position in the first waveband actual plume spectrum; the first waveband used is a wavelength range of 230 nm to 270 nm; in the embodiment, the first center wavelength used can be selected based on spectral characteristics exhibited by elements contained in the engine plume, for example, the first center wavelength is selected as 250 nm. Further, to eliminate random errors of the first actual plume spectrum width collected, 10 groups of spectral widths can be extracted at the first center wavelength position in the first waveband and averaged to obtain a more accurate first actual plume spectrum width.

[0047] In the embodiment, the first actual plume spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on a first center wavelength position in the first waveband actual plume spectrum; the first waveband used is a wavelength range of 230 nm to 270 nm; in the embodiment, the first center wavelength used can be selected based on spectral characteristics exhibited by elements contained in the engine plume, for example, the first center wavelength is selected as 250 nm. Further, to eliminate random errors of the first actual plume spectrum intensity collected, 10 groups of spectral widths can be extracted at the first center wavelength position in the first waveband and averaged to obtain a more accurate first actual plume spectrum intensity.

[0048] In the embodiment, the second actual plume spectral width is obtained by averaging a plurality of groups of spectral widths extracted based on a second center wavelength position in the second waveband actual plume spectrum; the second waveband used is a wavelength range of 387nm-393nm; in the embodiment, the second center wavelength used can be selected based on spectral characteristics exhibited by elements contained in the engine plume, for example, the second center wavelength is selected as 391nm. Further, to eliminate random errors of the collected second actual plume spectral width, 10 groups of spectral widths extracted at the second center wavelength position in the second waveband can be averaged to obtain a more accurate second actual plume spectral width.

[0049] In the embodiment, the second actual plume spectral intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on a second center wavelength position in the second waveband actual plume spectrum; the second waveband used is a wavelength range of 387nm-393nm; in the embodiment, the second center wavelength used can be selected based on spectral characteristics exhibited by elements contained in the engine plume, for example, the second center wavelength is selected as 391nm. Further, to eliminate random errors of the collected second actual plume spectral intensity, 10 groups of spectral widths extracted at the second center wavelength position in the second waveband can be averaged to obtain a more accurate second actual plume spectral intensity.

[0050] According to an embodiment of the present application, in the step S3 of obtaining a relationship formula of Doppler width half-width and temperature, and correcting the relationship formula based on ideal environment spectrum data and actual environment spectrum data to obtain a first correlation between temperature and ultraviolet spectral width, the step comprises: The relationship formula of Doppler width half-width and temperature is obtained, and is expressed as: ; Wherein, Doppler width half-width is represented by fD, The center wavelength of the spectral line is represented by λ0, The Boltzmann constant is represented by k, Temperature is represented by T, Particle mass is represented by m, Light speed is represented by c; The correction formula for correcting the relationship formula is obtained based on ideal environment spectrum data and actual environment spectrum data, and is expressed as: ; ; ; ; ; ; ; wherein, represents a center wavelength of spectral broadening, , , , , , are reference coefficients for calibration, respectively, represents a first ideal ambient spectral intensity, represents a first actual ambient spectral intensity, represents a second ideal ambient spectral intensity, represents a second actual ambient spectral intensity, represents a first ideal ambient spectral broadening, represents a first actual ambient spectral broadening, represents a second ideal ambient spectral broadening, represents a second actual ambient spectral broadening, represents a first ideal plume spectral intensity, represents a first actual plume spectral intensity, represents a second ideal plume spectral intensity, represents a second actual plume spectral intensity. The correction formula and the relationship formula are combined to complete the correction of the relationship formula, and a first correlation relationship is obtained; in the embodiment, the first correlation relationship is represented as: ; It can be seen that the spectral broadening is the input for calculating the temperature .

[0051] According to an embodiment of the present application, in step S4, the actual ambient temperature before the actual test is obtained based on the actual ambient spectral data and the first correlation relationship, and in the step of obtaining the temperature calculation error based on the actual ambient temperature and the ideal ambient temperature before combustion, the temperature calculation error includes: a first calculation error and a second calculation error; specifically, the first calculation error is obtained based on the following steps: The first actual ambient spectral broadening is brought into the first correlation relationship to obtain the first actual ambient temperature corresponding to the first actual ambient spectral broadening; wherein, based on the first correlation relationship, when the input of the spectral broadening is the first actual ambient spectral broadening, the corresponding first actual ambient temperature is obtained; The percentage error of the first actual ambient temperature relative to the ideal ambient temperature before combustion is obtained based on the difference between the first actual ambient temperature and the ideal ambient temperature before combustion as the first calculation error. Similarly, the second calculation error is obtained based on the following steps: The second actual environmental spectral broadening is incorporated into the first correlation to obtain the second actual environmental temperature corresponding to the spectral broadening of the second actual environment; wherein, based on the first correlation, when the spectrum is broadened... If the input is the second actual environment spectral broadening, then the corresponding second actual environment temperature is obtained; The percentage error between the second actual ambient temperature and the ideal ambient temperature before combustion is obtained as the second calculation error.

[0052] like Figure 1 As shown, according to one embodiment of the present invention, step S5, which involves obtaining the engine exhaust temperature based on the actual exhaust spectrum and the first correlation relationship, and correcting the engine exhaust temperature based on the temperature calculation error to complete the measurement of the engine exhaust temperature, includes: The first actual exhaust flame spectral broadening is incorporated into the first correlation relationship to obtain the first engine exhaust flame temperature corresponding to the first actual exhaust flame spectral broadening; wherein, based on the first correlation relationship, when the spectrum is broadened... If the input is the first actual exhaust flame spectral broadening, then the corresponding first engine exhaust flame temperature is obtained; The second actual exhaust plume spectral broadening is incorporated into the first correlation relationship to obtain the second engine exhaust plume temperature corresponding to the second actual exhaust plume spectral broadening; wherein, based on the first correlation relationship, when the spectrum is broadened... If the input is the second actual exhaust flame spectrum broadening, then the corresponding second engine exhaust flame temperature is obtained; The first engine exhaust temperature is corrected based on a first calculation error, and the second engine exhaust temperature is corrected based on a second calculation error. The corrected first engine exhaust temperature and second engine exhaust temperature are then combined to obtain the measurement result of the engine exhaust temperature.

[0053] According to one embodiment of the present invention, the method for measuring engine exhaust flame temperature based on ultraviolet spectral broadening further includes: S6. Based on all the wavelengths contained in the first wave band as the first center wavelength respectively, and a series of first actual plume spectrum broadening corresponding to it is collected in the actual plume spectrum, and based on all the wavelengths contained in the second wave band as the second center wavelength respectively, and a series of second actual plume spectrum broadening corresponding to it is collected in the actual plume spectrum; in the embodiment, for all the wavelengths contained in the first wave band (230nm-270nm) are 230nm, 231nm, 232nm, …, 270nm respectively, thus, for different wavelengths as the first center wavelength respectively, a series of corresponding first actual plume spectrum broadening can be collected from the actual plume spectrum; similarly, for all the wavelengths contained in the second wave band (387nm-393nm) are 387nm, 388nm, 389nm, …, 393nm respectively, thus, for different wavelengths as the second center wavelength respectively, a series of corresponding second actual plume spectrum broadening can be collected from the actual plume spectrum; S5. Repeat step S4 to obtain a series of corrected first engine plume temperature and second engine plume temperature, and perform a summary fitting on the first engine plume temperature and the second engine plume temperature to obtain the complete engine plume temperature measurement result; wherein, since the characteristic molecules corresponding to different wave bands are different, therefore, the obtained first engine plume temperature and second engine plume temperature need to be summarized and fitted respectively, in order to accurately and comprehensively measure the engine plume temperature under different wave band states. In the embodiment, in the process of summarizing and fitting the first engine plume temperature and the second engine plume temperature, firstly, a clustering method can be used to cluster the corresponding first engine plume temperature and second engine plume temperature, to exclude the scattered noise points and improve the reliability of the temperature calculation result, and secondly, one of linear / polynomial regression, Gaussian process regression (GPR), and RBF interpolation is used for fitting based on the obtained clustering result, to obtain the complete engine plume temperature measurement result; wherein, the way of calculating and correcting the first engine plume temperature and the second engine plume temperature is consistent with the foregoing way, which will not be described here.

[0054] According to an embodiment of the present application, an engine plume temperature measurement device based on ultraviolet spectrum broadening comprises: An ideal combustion spectrum data module: used for constructing an ideal environment and simulating an ideal combustion process, generating an engine plume ultraviolet-visible light spectrum for reference, and collecting an ideal environment temperature before combustion, wherein the engine plume ultraviolet-visible light spectrum comprises: an ideal environment spectrum before combustion, and an ideal plume spectrum during combustion; A spectrum data collection module: used for collecting an actual environment spectrum of an engine plume position before actual test, and an actual plume spectrum of the engine plume position during actual test; The data processing module obtains ideal ambient spectrum data based on the ideal ambient spectrum, obtains actual ambient spectrum data based on the actual ambient spectrum, obtains ideal plume spectrum data based on the ideal plume spectrum, and obtains actual plume spectrum data based on the actual plume spectrum; The relationship formula between the Doppler broadening half-width and the temperature is obtained, and the relationship formula is corrected based on the ideal ambient spectrum data, the actual ambient spectrum data, the ideal plume spectrum data and the actual plume spectrum data, so as to obtain the first correlation relationship between the temperature and the ultraviolet spectrum broadening; The actual ambient temperature before the actual test is obtained based on the actual ambient spectrum data and the first correlation relationship, and the temperature calculation error is obtained based on the actual ambient temperature and the ideal ambient temperature before combustion; The engine plume temperature is obtained based on the actual plume spectrum and the first correlation relationship, and the engine plume temperature is corrected based on the temperature calculation error, so as to complete the measurement of the engine plume temperature.

[0055] According to an embodiment of the present application, the engine plume temperature measurement device based on the ultraviolet spectrum broadening further comprises: The dynamic threshold adjustment and state discrimination module, specifically, all the wavelengths contained in the first wave band are respectively taken as the first center wavelength, and a series of first actual plume spectrum broadening corresponding thereto is collected in the actual plume spectrum, and all the wavelengths contained in the second wave band are respectively taken as the second center wavelength, and a series of second actual plume spectrum broadening corresponding thereto is collected in the actual plume spectrum; in this embodiment, all the wavelengths contained in the first wave band (230nm-270nm) are 230nm, 231nm, 232nm, …, 270nm, respectively, so that a series of corresponding first actual plume spectrum broadening can be collected from the actual plume spectrum for different wavelengths as the first center wavelength; similarly, all the wavelengths contained in the second wave band (387nm-393nm) are 387nm, 388nm, 389nm, …, 393nm, respectively, so that a series of corresponding second actual plume spectrum broadening can be collected from the actual plume spectrum for different wavelengths as the second center wavelength; Based on the data processing module, a series of corrected first engine plume temperatures and second engine plume temperatures are obtained, and the first engine plume temperatures and the second engine plume temperatures are fitted to obtain complete engine plume temperature measurement results; in this embodiment, in the process of fitting the first engine plume temperatures and the second engine plume temperatures, the corresponding first engine plume temperatures and the second engine plume temperatures can be clustered first by using a clustering method to exclude scattered noise points and improve the reliability of the temperature calculation results, and then one of linear / polynomial regression, Gaussian process regression (GPR), and RBF interpolation is used for fitting based on the obtained clustering results to obtain complete engine plume temperature measurement results. According to the obtained engine plume temperature measurement results, the relationship between temperature and spectral broadening data is automatically adjusted, and it is analyzed in real time whether the current data needs to be recalibrated according to the existing data; wherein, the obtained engine plume temperature measurement results can be directly used to act on the first correlation relationship to determine whether the corresponding relationship is accurate, so as to achieve real-time analysis of whether the current data (such as the benchmark coefficient 、 、 、 、 、 ) needs to be recalibrated according to the existing data.

[0056] The monitoring module: when it is detected that the engine plume temperature measurement results obtained by the data processing module exceed the measurable temperature range, a data chain is generated and sent to the data processing module to recalibrate and generate a new first correlation relationship.

[0057] The specific limitations of the engine plume temperature measurement device based on ultraviolet spectral broadening can be referred to the limitations of the engine plume temperature measurement method based on ultraviolet spectral broadening in the above, which will not be repeated here. Each module in the above engine plume temperature measurement device based on ultraviolet spectral broadening can be realized by software, hardware and their combinations. The above modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to each module.

[0058] In the embodiment, the memory can be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), etc.

[0059] In the embodiment, the processor can be an integrated circuit chip with a signal processing capability. The processor can be a general purpose processor, including a central processing unit (CPU), a network processor (NP), etc. The processor can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0060] The above merely illustrates the embodiments of the present application, and the devices and structures not described in detail should be understood as being implemented by using the general devices and methods in the art.

[0061] The above merely illustrates the embodiments of the present application, and the devices and structures not described in detail should be understood as being implemented by using the general devices and methods in the art. The above merely illustrates the embodiments of the present application, and the devices and structures not described in detail should be understood as being implemented by using the general devices and methods in the art.

Claims

1. A method of measuring engine plume temperature based on ultraviolet spectral broadening, characterized in that, The method comprises the following steps: S1. Constructing an ideal environment and simulating an ideal combustion process to generate an engine plume ultraviolet-visible light spectrum for reference, and collecting the temperature of the ideal environment before combustion, wherein the engine plume ultraviolet-visible light spectrum comprises: the ideal environment spectrum before combustion, and the ideal plume spectrum during combustion; S2. Collecting the actual environment spectrum of the engine plume position before the actual test and the actual plume spectrum of the engine plume position during the actual test; S3. Obtaining ideal environment spectrum data based on the ideal environment spectrum before combustion, obtaining actual environment spectrum data based on the actual environment spectrum, obtaining ideal plume spectrum data based on the ideal plume spectrum, and obtaining actual plume spectrum data based on the actual plume spectrum; Obtaining a relationship formula between the Doppler broadening half-width and the temperature, and correcting the relationship formula based on the ideal environment spectrum data, the actual environment spectrum data, the ideal plume spectrum data and the actual plume spectrum data to obtain a first correlation between the temperature and the ultraviolet spectrum broadening; S4. Obtaining the actual environment temperature before the actual test based on the actual environment spectrum data and the first correlation, and obtaining the temperature calculation error based on the actual environment temperature and the ideal environment temperature before combustion; S5. Obtaining the engine plume temperature based on the actual plume spectrum and the first correlation, and correcting the engine plume temperature based on the temperature calculation error to complete the measurement of the engine plume temperature.

2. The ultraviolet spectral broadening based engine plume temperature measurement method of claim 1, wherein, In step S1, during the construction of the ideal environment and the simulation of the ideal combustion process, a simulation software is used in combination with a radiation model to construct the ideal environment and simulate the ideal combustion process.

3. The ultraviolet spectral broadening based engine plume temperature measurement method of claim 2, wherein, In step S1 of generating the engine plume ultraviolet-visible light spectrum for reference, the ideal environment spectrum before combustion comprises: a first waveband ideal environment spectrum and a second waveband ideal environment spectrum, and the ideal plume spectrum during combustion comprises: a first waveband ideal plume spectrum and a second waveband ideal plume spectrum.

4. The ultraviolet spectral broadening based engine plume temperature measurement method of claim 3, wherein, In step S2 of collecting the actual environment spectrum of the engine plume position before the actual test and the actual plume spectrum of the engine plume position during the actual test, the actual environment spectrum comprises: a first waveband actual environment spectrum and a second waveband actual environment spectrum, and the actual plume spectrum comprises: a first waveband actual plume spectrum and a second waveband actual plume spectrum.

5. The ultraviolet spectral broadening based engine plume temperature measurement method of claim 4, wherein, In step S3 of obtaining ideal environment spectrum data based on the ideal environment spectrum before combustion, the ideal environment spectrum data comprises: a first ideal environment spectrum broadening, a second ideal environment spectrum broadening, a first ideal environment spectrum intensity, and a second ideal environment spectrum intensity; The first ideal environment spectrum broadening is obtained by averaging a plurality of groups of spectrum broadening extracted based on a first center wavelength position in the first waveband ideal environment spectrum; The first ideal environment spectrum intensity is obtained by averaging a plurality of groups of spectrum intensity extracted based on the first center wavelength position in the first waveband ideal environment spectrum; The second ideal environment spectrum broadening is obtained by averaging a plurality of groups of spectrum broadening extracted based on a second center wavelength position in the second waveband ideal environment spectrum; and The second ideal environment spectrum intensity is obtained by averaging a plurality of groups of spectrum intensity extracted based on the second center wavelength position in the second waveband ideal environment spectrum. The second ideal environment spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on a second center wavelength position in a second waveband ideal environment spectrum; In step S3, in the step of obtaining actual environment spectrum data based on the actual environment spectrum, the actual environment spectrum data includes: a first actual environment spectrum width, a second actual environment spectrum width, a first actual environment spectrum intensity, and a second actual environment spectrum intensity; The first actual environment spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on a first center wavelength position in a first waveband actual environment spectrum; The first actual environment spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on a first center wavelength position in a first waveband actual environment spectrum; The second actual environment spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on a second center wavelength position in a second waveband actual environment spectrum; The second actual environment spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on a second center wavelength position in a second waveband actual environment spectrum; In step S3, in the step of obtaining ideal plume spectrum data based on the ideal plume spectrum, the ideal plume spectrum data includes: a first ideal plume spectrum width, a second ideal plume spectrum width, a first ideal plume spectrum intensity, and a second ideal plume spectrum intensity; The first ideal plume spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on a first center wavelength position in a first waveband ideal plume spectrum; The first ideal plume spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on a first center wavelength position in a first waveband ideal plume spectrum; The second ideal plume spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on a second center wavelength position in a second waveband ideal plume spectrum; The second ideal plume spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on a second center wavelength position in a second waveband ideal plume spectrum; In step S3, in the step of obtaining actual plume spectrum data based on the actual plume spectrum, the actual plume spectrum data includes: a first actual plume spectrum width, a second actual plume spectrum width, a first actual plume spectrum intensity, and a second actual plume spectrum intensity; The first actual plume spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on a first center wavelength position in a first waveband actual plume spectrum; The first actual plume spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on a first center wavelength position in a first waveband actual plume spectrum; The second actual plume spectrum width is obtained by averaging a plurality of groups of spectral widths extracted based on a second center wavelength position in a second waveband actual plume spectrum; The second actual plume spectrum intensity is obtained by averaging a plurality of groups of spectral intensities extracted based on a second center wavelength position in a second waveband actual plume spectrum.

6. The ultraviolet spectral broadening based engine plume temperature measurement method of claim 5, wherein, In step S3, in the step of obtaining a relationship formula between the Doppler width full width at half maximum and the temperature, and correcting the relationship formula based on the ideal environment spectrum data and the actual environment spectrum data to obtain a first correlation relationship between the temperature and the ultraviolet spectrum width, the step includes: The relationship formula between the Doppler broadening half-width and the temperature is obtained, and is expressed as: wherein, represents the Doppler broadening half width, represents the spectral line center wavelength, represents the Boltzmann constant, represents the temperature, represents the particle mass, represents the speed of light; A correction formula for correcting the relationship formula is obtained based on the ideal environment spectrum data and the actual environment spectrum data, and is expressed as: wherein represents a spectral width of the light having a center wavelength , , , , , , are reference coefficients for calibration, represents a first ideal ambient spectral intensity, represents a first actual ambient spectral intensity, represents a second ideal ambient spectral intensity, represents a second actual ambient spectral intensity, represents a first ideal ambient spectral width, represents a first actual ambient spectral width, represents a second ideal ambient spectral width, represents a second actual ambient spectral width, represents a first ideal plume spectral intensity, represents a first actual plume spectral intensity, represents a second ideal plume spectral intensity, represents a second actual plume spectral intensity; The correction formula and the relationship formula are combined to complete the correction of the relationship formula, and a first correlation relationship is obtained.

7. The ultraviolet spectral broadening based engine plume temperature measurement method of claim 6, wherein, In step S4, the actual environment temperature before the actual test is obtained based on the actual environment spectrum data and the first correlation relationship, and the temperature calculation error is obtained based on the actual environment temperature and the ideal environment temperature before combustion, wherein the temperature calculation error includes: a first calculation error and a second calculation error; The first calculation error is obtained based on the following steps: The first actual environment spectrum broadening is brought into the first correlation relationship to obtain the first actual environment temperature corresponding to the first actual environment spectrum broadening; The error percentage of the first actual environment temperature relative to the ideal environment temperature before combustion is obtained as the first calculation error based on the difference between the first actual environment temperature and the ideal environment temperature before combustion; The second calculation error is obtained based on the following steps: The second actual environment spectrum broadening is brought into the first correlation relationship to obtain the second actual environment temperature corresponding to the second actual environment spectrum broadening; The error percentage of the second actual environment temperature relative to the ideal environment temperature before combustion is obtained as the second calculation error based on the difference between the second actual environment temperature and the ideal environment temperature before combustion.

8. The ultraviolet spectral broadening based engine plume temperature measurement method of claim 7, wherein, In step S5, the engine plume temperature is obtained based on the actual plume spectrum and the first correlation relationship, and the engine plume temperature is corrected based on the temperature calculation error, and the measurement of the engine plume temperature is completed, including: The first actual plume spectrum broadening is brought into the first correlation relationship to obtain the first engine plume temperature corresponding to the first actual plume spectrum broadening; The second actual plume spectrum broadening is brought into the first correlation relationship to obtain the second engine plume temperature corresponding to the second actual plume spectrum broadening; The first engine plume temperature is corrected based on the first calculation error, and the second engine plume temperature is corrected based on the second calculation error, and the corrected first engine plume temperature and the second engine plume temperature are summarized to obtain the measurement result of the engine plume temperature.

9. The ultraviolet spectral broadening based engine plume temperature measurement method of claim 8, wherein, Further comprising: S6. Based on all the wavelengths contained in the first wave band as the first center wavelength respectively, a series of first actual plume spectrum broadenings corresponding thereto are collected in the actual plume spectrum, and based on all the wavelengths contained in the second wave band as the second center wavelength respectively, a series of second actual plume spectrum broadenings corresponding thereto are collected in the actual plume spectrum; Step S5 is repeatedly executed to obtain a series of corrected first engine plume temperatures and second engine plume temperatures, and the first engine plume temperatures and the second engine plume temperatures are summarized and fitted to obtain the complete measurement result of the engine plume temperature.

10. An engine plume temperature measurement device based on ultraviolet spectral broadening, characterized by, Comprising: The ideal combustion spectrum data module is used for constructing an ideal environment and simulating an ideal combustion process, generating an engine plume ultraviolet-visible light spectrum for reference, and collecting an ideal environment temperature before combustion, wherein the engine plume ultraviolet-visible light spectrum comprises an ideal environment spectrum before combustion and an ideal plume spectrum during combustion; The spectrum data acquisition module is used for collecting an actual environment spectrum of an engine plume position before actual test and an actual plume spectrum of the engine plume position during actual test; The data processing module is used for obtaining ideal environment spectrum data based on the ideal environment spectrum before combustion, obtaining actual environment spectrum data based on the actual environment spectrum, obtaining ideal plume spectrum data based on the ideal plume spectrum, and obtaining actual plume spectrum data based on the actual plume spectrum; A relationship formula between a Doppler broadening half-width and temperature is obtained, and the relationship formula is corrected based on the ideal environment spectrum data, the actual environment spectrum data, the ideal plume spectrum data and the actual plume spectrum data, so as to obtain a first correlation relationship between temperature and ultraviolet spectrum broadening; An actual environment temperature before actual test is obtained based on the actual environment spectrum data and the first correlation relationship, and a temperature calculation error is obtained based on the actual environment temperature and the ideal environment temperature before combustion; An engine plume temperature is obtained based on the actual plume spectrum and the first correlation relationship, and the engine plume temperature is corrected based on the temperature calculation error, so as to complete measurement of the engine plume temperature.

Images