A temperature and gas detection system and method based on ultraviolet to near infrared spectrum

Abstract

The application discloses a temperature and gas detection system and method based on ultraviolet to near infrared spectrum, relates to the technical field of spectrum measurement, and solves the technical problem that the prior art adopts two separate devices to respectively measure temperature and monitor the environment in a smelting process, occupies space in a smelting furnace, and increases the complexity of the system; the application obtains spontaneous emission light of a target to be detected; the spontaneous emission light is dispersed and spectrally analyzed to obtain spectrum data of the full wave band of ultraviolet to near infrared light; the spectrum data are denoised to obtain the spectrum of the target to be detected; temperature data are obtained according to spectrum analysis of the target to be detected; and the concentration of gas is calculated based on the spectrum and a pre-established spectrum database; the temperature of the target to be detected can be accurately measured, and the measurement accuracy is improved.

Description

Technical Field

[0001] This application belongs to the field of spectral measurement, specifically a temperature and gas detection system and method based on ultraviolet to near-infrared spectroscopy. Background Technology

[0002] Ultraviolet-near-infrared spectroscopy is a continuous spectral analysis technique covering the ultraviolet, visible, and near-infrared bands. It detects the spectral information emitted or reflected by objects without direct contact. Simultaneously, it can quickly capture temperature changes, forming thermal images that visually display temperature distribution. Each gas molecule has a unique infrared absorption frequency, allowing for precise identification of target gases and avoiding cross-interference. Furthermore, it can complete qualitative and quantitative gas analysis in a short time, supporting real-time online monitoring in industries. Ultraviolet-near-infrared spectroscopy boasts core advantages such as non-contact operation, high sensitivity, real-time monitoring, and rapid response.

[0003] In the complex production environment of steel smelting, there are influencing factors such as high temperature, high humidity, atmospheric decay, environmental dust, and other high-temperature targets, which make temperature measurement susceptible to environmental factors, thus reducing the detection accuracy and making the measured temperature inaccurate. The existing technology uses two separate sets of equipment for temperature measurement and environmental monitoring during the smelting process, which occupies space in the smelting furnace and increases the complexity of the system. Summary of the Invention

[0004] This application aims to solve at least one of the technical problems existing in the prior art; to this end, this application proposes a temperature and gas detection system and method based on ultraviolet to near-infrared spectroscopy to solve the technical problem that the prior art uses two separate sets of equipment for temperature measurement and environmental monitoring during the smelting process, which occupies space in the smelting furnace and increases the complexity of the system.

[0005] To achieve the above objectives, the first aspect of this application provides a temperature and gas detection system based on ultraviolet to near-infrared spectroscopy, comprising: a spectral collection module and a data processing module;

[0006] The spectral collection module is used to acquire the spontaneous emission light of the target to be detected; and to perform dispersive spectral analysis on the spontaneous emission light to obtain spectral data of the entire ultraviolet to near-infrared band.

[0007] The data processing module is used to denoise the spectral data to obtain the spectrum of the target to be detected; to obtain temperature data based on the spectral analysis of the target to be detected; and to calculate the gas concentration based on the spectrum and a pre-established spectral database.

[0008] Preferably, the spectral collection module includes a photon collection unit and a concave grating spectrometer; the output end of the photon collection unit is connected to the input end of the concave grating spectrometer.

[0009] The photon collection unit is used to collect the spontaneous emission light of the target to be detected;

[0010] The concave grating spectrometer is used to perform dispersive spectroscopy on the spontaneous emission light of the target to be detected.

[0011] Preferably, the photon collecting unit is composed of a quartz and magnesium fluoride composite lens group;

[0012] The concave grating spectrometer consists of an entrance slit, a collimating mirror, and a reflective concave grating.

[0013] The entrance slit is used to balance resolution and light intensity; the collimating lens is used to make the beam perpendicular to the concave grating; the reflective concave grating is used for dispersive beam splitting.

[0014] Preferably, the spectral collection module further includes a dual detector array and an ADC unit;

[0015] The dual detector array is placed at the focal plane of the concave grating spectrometer and connected to the input of the ADC unit; it is used to acquire the spectral intensity across the entire wavelength range.

[0016] Preferably, the data processing module includes a noise cancellation unit, a spectral separation unit, and a temperature calculation unit;

[0017] The output of the noise cancellation unit is connected to the input of the spectral separation unit; the output of the spectral separation unit is connected to the input of the temperature calculation unit.

[0018] Preferably, the noise cancellation unit is used to eliminate noise in the ultraviolet to near-infrared full-band spectral data; the spectral separation unit is used to remove the wavelengths of gas absorption peaks in the ultraviolet to near-infrared light band; and the temperature calculation unit is used to obtain the temperature of the target to be detected based on the spectrum of the target to be detected.

[0019] Preferably, the spectral separation unit is used to establish an ambient light intensity database when there is no gas to be measured; at the same time, it establishes an impurity absorption spectrum and an ambient spectrum database.

[0020] Based on the database of ambient light intensity, impurity absorption spectra, and ambient spectral database when there is no gas to be measured, energy-saving queries are performed in the ultraviolet to near-infrared light band, and wavelengths at gas absorption peaks are eliminated.

[0021] Preferably, the temperature calculation unit is used to construct and train a temperature analysis model; analyze the spectrum of the target to be detected using the trained temperature analysis model to obtain the temperature of the target; and process the spectrum of the target to be detected using Lambert-Beer's law.

[0022] Preferably, the calculation of gas concentration based on the spectrum and a pre-established spectral database includes:

[0023] The spectrum is matched with a spectral database to obtain the corresponding key parameters, including the linear intensity of gas absorption at the target wavelength, temperature, and pressure.

[0024] The core data for measuring the spectrum includes: optical path length, transmitted light intensity in the absence of gas, and transmitted light intensity in the presence of gas.

[0025] Construct the concentration calculation function: Calculate the gas concentration using the concentration calculation function;

[0026] in, The transmittance is expressed as: ; Indicates optical path length; This represents the linear intensity of gas absorption at the target wavelength; Indicates the intensity of transmitted light when gas is present; Indicates the intensity of transmitted light when there is no gas; Indicates gas concentration.

[0027] The second aspect of this application provides a method for detecting temperature and gas based on ultraviolet to near-infrared spectroscopy, including:

[0028] Acquire the spontaneous emission light of the target to be detected;

[0029] Dispersive spectral analysis of spontaneous emission light yields spectral data across the entire ultraviolet to near-infrared spectrum.

[0030] The spectral data is denoised to obtain the spectrum of the target to be detected;

[0031] Temperature data is obtained based on the spectral analysis of the target object;

[0032] The gas concentration is calculated based on the spectrum and a pre-established spectral database.

[0033] A third aspect of this application provides a computer-readable storage medium storing program code for performing the method described in the implementation of the second aspect.

[0034] Compared with the prior art, the beneficial effects of this application are:

[0035] 1. The spectrometer of this application simultaneously detects temperature and ambient gas concentration, reducing the size of the measuring instrument, enabling synchronous data acquisition for subsequent analysis and calculation, reducing installation and maintenance costs, and saving furnace space; by dispersing the radiation light of the target to be detected, full-band ultraviolet to near-infrared spectral data is obtained, including the spectrum of the target to be detected as well as the spectra of impurities, background radiation and other interfering substances. Then, by analyzing and processing the full-band ultraviolet to near-infrared spectral data, wavelengths with gas absorption peaks are removed, which facilitates subsequent temperature calculation.

[0036] 2. This application uses wavelet transform to eliminate noise and baseline interference in the measured spectral signal, ensuring the accuracy and reliability of subsequent data processing results and avoiding noise masking the true characteristic peaks, which would lead to large temperature measurement errors. It establishes an ambient light intensity database, an impurity absorption spectrum database, and an ambient spectrum database when there is no gas to be measured, analyzes and calculates the composition and content of impurities and gases, and calculates the corresponding temperature values. It can accurately measure the temperature of the target and improve the accuracy of the measurement. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0038] Figure 1 This is a connection diagram of the system structure of this application;

[0039] Figure 2 This is a diagram illustrating the high-temperature radiation and gas absorption of this application.

[0040] Figure 3 This is a schematic diagram illustrating the overall steps of the method described in this application. Detailed Implementation

[0041] The technical solutions of this application will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0042] Please see Figures 1-2 The first aspect of this application provides a temperature and gas detection system based on ultraviolet to near-infrared spectroscopy, including: a spectral collection module and a data processing module;

[0043] The spectral collection module is used to acquire the spontaneous emission light of the target to be detected; and to perform dispersive spectral analysis on the spontaneous emission light to obtain spectral data of the entire ultraviolet to near-infrared band.

[0044] The data processing module is used to denoise the spectral data to obtain the spectrum of the target to be detected; to obtain temperature data based on the spectral analysis of the target to be detected; and to calculate the gas concentration based on the spectrum and a pre-established spectral database.

[0045] The spectral collection module includes a photon collection unit and a concave grating spectrometer; the output of the photon collection unit is connected to the input of the concave grating spectrometer; the photon collection unit is used to collect the spontaneous emission light of the target to be detected; the concave grating spectrometer is used to perform dispersive spectroscopy on the spontaneous emission light of the target to be detected.

[0046] This application collects the complete spectral signal of the target to be detected through a spectral collection system. The signal includes the spectrum of the target to be detected, the absorption spectrum of impurities, and the environmental spectrum. After the spectral data collection is completed, wavelengths with gas absorption peaks are removed based on the established database, and the temperature and gas concentration are calculated using the remaining wavelength data.

[0047] The photon collection unit is composed of a quartz and magnesium fluoride composite lens group; the concave grating spectrometer consists of an entrance slit, a collimating mirror, and a reflective concave grating; the entrance slit is used to balance resolution and light intensity; the collimating mirror is used to make the beam perpendicular to the concave grating; the reflective concave grating is used for dispersive spectroscopy.

[0048] The spectral collection module also includes a dual detector array and an ADC unit; the dual detector array is placed at the focal plane of the concave grating spectrometer and connected to the input of the ADC unit; it is used to collect the spectral intensity across the entire wavelength range.

[0049] Example: Figure 2 This is a schematic diagram illustrating the radiation principle of simultaneously detecting temperature and ambient gas composition while covering ultraviolet to near-infrared light, as provided in an embodiment of this application. A high-temperature radiation and gas absorption diagram is shown, using 1500K as an example.

[0050] This application obtains full-band ultraviolet to near-infrared spectral data by dispersing the radiation light of the target to be detected, which includes the spectrum of the target to be detected as well as the spectra of interfering substances such as impurities and background radiation. Then, by analyzing and processing the full-band ultraviolet to near-infrared spectral data, the temperature can be obtained based on the spectrum of the target to be detected, which can significantly improve the accuracy of temperature detection.

[0051] In one possible implementation, quartz is adapted to 200-2000nm, and magnesium fluoride extends to 2600nm; ensuring uniform light flux across the entire wavelength range; taking into account the high-temperature measurement environment, system lifespan, and measurement accuracy, a photon collection model is adopted to collect the spectrum of the measured object at a distance of 15 meters.

[0052] After the radiated light is guided into the concave grating spectrometer by the front optical lens, it first passes through an entrance slit to balance resolution and light intensity. The narrower the slit, the higher the spectral resolution, but the less light flux passes through; the wider the slit, the stronger the light intensity, but different wavelengths of light will overlap, reducing resolution. Next, the diverging light is reflected by a collimating mirror and collimated into a parallel beam. This parallel beam then illuminates the concave grating, where it is dispersed, focused, and then received by the detector.

[0053] The focal plane employs a precision fine-tuning bracket, with dual detectors (CCD / InGaAs) stitched together along the dispersion direction. A 5% pixel overlap band is reserved in the overlapping wavelength range (900-1100nm). Fine-tuning with screws ensures the optical axis is coplanar with a deviation ≤2μm. An 18-bit A / D converter is selected primarily to meet the dynamic range and measurement accuracy requirements of wide-band signals: the quantization level of the 18-bit A / D reaches 2¹. 8 =Level 262144, capable of accurately capturing weak ultraviolet signals (down to 10). - The difference between the W-level (12 W-level) and the strong signal in the near-infrared band is avoided to prevent signal "overflow" or "distortion". At the same time, in conjunction with a low-noise amplification module, the accuracy of temperature calculation is further improved.

[0054] The data processing module includes a noise cancellation unit, a spectral separation unit, and a temperature calculation unit;

[0055] The output of the noise cancellation unit is connected to the input of the spectral separation unit; the output of the spectral separation unit is connected to the input of the temperature calculation unit.

[0056] The noise cancellation unit is used to eliminate noise in the ultraviolet to near-infrared full-band spectral data; the spectral separation unit is used to remove the wavelengths of gas absorption peaks in the ultraviolet to near-infrared light band; and the temperature calculation unit is used to obtain the temperature of the target to be detected based on the spectrum of the target.

[0057] In one possible implementation, spectral noise mainly comes from three categories: the instrument itself, sample characteristics, and the measurement environment; specifically, it includes: thermal noise of the instrument's electronic components, light source fluctuations; sample scattering or fluorescence interference, inhomogeneity; changes in ambient temperature or humidity, electromagnetic interference, etc.

[0058] In one possible implementation, the noise cancellation methods that can be selected include moving average filtering, wavelet transform denoising, and Savitzky-Golay filtering. Wavelet transform can process signals in both the time and frequency domains, and can separate high-frequency noise and fit a slowly changing baseline, thus achieving both denoising and correction effects. Therefore, this application selects wavelet transform for spectral image denoising and smoothing.

[0059] It should be noted that the specific steps of wavelet transform are as follows:

[0060] Choosing wavelet basis functions: For spectral processing, prioritize the db series, such as db4 and db6; or the sym system;

[0061] Determine the number of decomposition layers: usually 3-5 layers, which can be adjusted through trial and error; for example: try 4 layers first and observe the components after decomposition.

[0062] Decomposition: This yields one low-frequency component and n high-frequency components; where the low-frequency component is cA. n It includes a baseline and multiple characteristic peaks; the high-frequency components are cD1~cD. n It's mainly noise;

[0063] Energy-saving threshold processing for high-frequency components suppresses high-frequency noise. A common soft thresholding method is used: coefficients less than the threshold are set to zero, and coefficients greater than the threshold are subtracted from the threshold. Threshold calculation: the default VisuShrink threshold is used, or a custom threshold can be defined based on the noise intensity, preserving both high-frequency and low-frequency components after processing.

[0064] Baseline Separation and Correction: Baseline Extraction: Extracting the coarsest-scale low-frequency component cA n It is used directly as the baseline (because it contains only the slowest drift component).

[0065] Baseline correction: Original spectrum - extracted baseline = corrected spectrum (eliminating drift and retaining pure characteristic peaks).

[0066] Reconstructing the signal and verification: Reconstruct the spectrum using the processed high-frequency components and the corrected low-frequency components (the useful signal after removing the baseline);

[0067] Verification of results: Observe whether the baseline of the corrected spectrum is stable and whether the characteristic peaks are clear. The signal-to-noise ratio (SNR) or correlation coefficient can be calculated for evaluation.

[0068] After obtaining the spectrum from the full-spectrum collection module, ensure that there are no obvious outliers in the data; if outliers are present, manually remove them or process them using the 3σ criterion; normalize the data to reduce the impact of differences in instrument sensitivity.

[0069] The spectral separation unit is used to establish an ambient light intensity database when there is no analyte gas; at the same time, it establishes an impurity absorption spectrum and an ambient spectrum database.

[0070] Based on the database of ambient light intensity, impurity absorption spectra, and ambient spectral database when there is no gas to be measured, energy-saving queries are performed in the ultraviolet to near-infrared light band, and wavelengths at gas absorption peaks are eliminated.

[0071] The temperature calculation unit is used to build and train a temperature analysis model; the trained temperature analysis model is used to analyze the spectrum of the target to be detected to obtain the temperature of the target; and the spectrum of the target to be detected is processed using Lambert-Beer's law.

[0072] It should be noted that, in order to accurately measure temperature, a detailed database of impurity absorption spectra and environmental spectra needs to be established. The establishment of these databases relies on the systematic acquisition and analysis of spectra under various known impurities and environmental conditions. After the spectral data is collected, the collected spectra are separated using the established database of impurity absorption spectra and environmental spectra. By comparing and matching the spectral features in the database, the impurity absorption spectra and environmental spectra can be accurately identified and removed, retaining only the spectral signal of the object to be measured.

[0073] This application primarily selects the wavelength range of 200nm to 2600nm, within which an absorption wavelength database is established for carbon dioxide, water, and impurities such as carbon, silicon, manganese, and phosphorus in steelmaking, as well as gaseous impurities such as carbon monoxide and methane. Specifically, when using atomic absorption spectrometry, silicon atoms absorb light at a wavelength of 251.6 nm; when determining manganese content using flame atomic absorption spectrometry, a hollow manganese cathode lamp is used as the light source, and atomic absorption spectroscopy measurements are performed at a wavelength of 279.5 nm; when determining phosphorus content using molybdenum blue spectrophotometry, spectrophotometric measurements are finally performed at wavelengths of 680 nm (when phosphorus content is 0.005%-0.050%) or 825 nm (when phosphorus content is 0.050%-0.250%); carbon dioxide gas absorbs light at wavelengths of 1.578, 2.004, and 2.012 micrometers within a given wavelength range; water absorbs light at wavelengths of 0.94, 1.1, 1.38, and 1.854 micrometers; methane absorbs light at wavelengths of 1.654 and 1.680 micrometers; and carbon monoxide absorbs light at a wavelength of 1.567 micrometers.

[0074] It should be noted that when calculating temperature based on the spectrum, it depends on the spectral radiation characteristics of the target to be detected, and combines Planck's law and other relevant thermal radiation theories;

[0075] According to the law of radiation, any object with a temperature above the lowest thermodynamic temperature radiates energy. The temperature and gas detection system based on ultraviolet to near-infrared spectroscopy provided in this application is an idealized object that can completely absorb all incident radiation energy without reflection or transmission, and releases maximum radiation energy at the corresponding temperature; this idealized object is called a blackbody. The emissivity of a blackbody is calculated using Planck's formula, as follows:

[0076] ;

[0077] in, For wavelength, For the measured temperature, and These are Planck's first and second radiation constants;

[0078] The spectral radiance of any real object is related to the radiance of a blackbody at the same temperature as follows:

[0079] ;

[0080] in, This is the light absorptivity of a real object, which can be used to describe the difference between the radiation characteristics of a real object and those of a blackbody. According to Kirchhoff's law of thermal radiation, under thermal equilibrium conditions, the absorptivity of an object to thermal radiation is always equal to its emissivity at the same temperature. Therefore, the spectral radiance of a real object can be expressed as:

[0081] ;

[0082] Common emissivity assumption equations include:

[0083] ;

[0084] ;

[0085] ;

[0086] ;

[0087] This application uses the first majority polynomial function as the constructed emission function. The measured band data n is 4, therefore m should be less than or equal to 2. This application selects 1, so the radiative emissivity constructed in this application is:

[0088] ;

[0089] The intensity of the received light can be obtained from the spectrum: Where M is the radiative exitance, The reading is the spectrometer reading, and K is the calibration coefficient.

[0090] Substituting Planck's blackbody radiation formula, we get:

[0091] ;

[0092] ;

[0093] Hi is a constant term. Four wavelength values ​​are selected from the spectrum at a certain temperature, and substituting them into the equations yields a0, a1, and T, thus solving for the temperature. Considering the system of equations has four parts and three unknowns, it is clearly an overdetermined system. Therefore, only a least-squares solution using positive definite equations can minimize the error. Thus, the temperature obtained from this equation is the least-squares solution for the temperature.

[0094] In one possible implementation, the gas concentration is calculated based on the spectrum and a pre-established spectral database, including:

[0095] The spectrum is matched with a spectral database to obtain the corresponding key parameters, including the linear intensity of gas absorption at the target wavelength, temperature, and pressure.

[0096] The core data for measuring the spectrum includes: optical path length, transmitted light intensity in the absence of gas, and transmitted light intensity in the presence of gas.

[0097] Construct the concentration calculation function: Calculate the gas concentration using the concentration calculation function;

[0098] in, The transmittance is expressed as: ; Indicates optical path length; This represents the linear intensity of gas absorption at the target wavelength; Indicates the intensity of transmitted light when gas is present; Indicates the intensity of transmitted light when there is no gas; Indicates gas concentration.

[0099] The system of this application has a measurement range of 0~30% (suitable for the CO2 concentration range of steelmaking furnace gas), a temperature measurement range of 800~2600K, a resolution of 0.01%, a measurement error of ≤±1%FS, and a response time of ≤5 seconds, ensuring accurate data and real-time feedback. It is suitable for steelmaking processes such as converter top and bottom blowing and electric arc furnace oxygen supply, and can withstand high-temperature furnace gas environments (temperature range -20℃~800℃, supporting high-temperature pretreatment), dust, and corrosive gas environments, making it suitable for furnace gas analysis systems in steel plants.

[0100] Please see Figure 3 The second aspect of this application provides a method for detecting temperature and gas based on ultraviolet to near-infrared spectroscopy, including:

[0101] Acquire the spontaneous emission light of the target to be detected;

[0102] Dispersive spectral analysis of spontaneous emission light yields spectral data across the entire ultraviolet to near-infrared band.

[0103] The spectral data is denoised to obtain the spectrum of the target to be detected;

[0104] Temperature data is obtained based on the spectral analysis of the target object;

[0105] The gas concentration is calculated based on the spectrum and a pre-established spectral database.

[0106] A third aspect of this application provides a computer-readable storage medium storing program code for performing the methods described in the embodiments of the second aspect.

[0107] Some of the data in the above formula are calculated by removing dimensions and taking their numerical values. The formula is the closest to the real situation obtained by software simulation of a large amount of collected data. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0108] The working principle of this application is as follows: This application acquires the spontaneous emission light of the target to be detected; performs dispersive spectral analysis on the spontaneous emission light to obtain spectral data of the entire ultraviolet to near-infrared band; performs noise reduction processing on the spectral data to obtain the spectrum of the target to be detected; obtains temperature data based on the spectral analysis of the target to be detected; and calculates the gas concentration based on the spectrum and a pre-established spectral database.

[0109] The above embodiments are only used to illustrate the technical methods of this application and are not intended to limit it. Although this application has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of this application without departing from the spirit and scope of the technical methods of this application.

Claims

1. A temperature and gas detection system based on ultraviolet to near-infrared spectroscopy, characterized in that, include: Spectrum collection module and data processing module; The spectral collection module is used to acquire the spontaneous emission light of the target to be detected; Dispersive spectral analysis of spontaneous emission light yields spectral data across the entire ultraviolet to near-infrared band. The data processing module is used to denoise the spectral data to obtain the spectrum of the target to be detected; to obtain temperature data based on the spectral analysis of the target to be detected; and to calculate the gas concentration based on the spectrum and a pre-established spectral database. The spectral collection module includes a photon collection unit and a concave grating spectrometer; the output of the photon collection unit is connected to the input of the concave grating spectrometer. The photon collection unit is used to collect the spontaneous emission light of the target to be detected; The concave grating spectrometer is used to perform dispersive spectroscopy on the spontaneous emission light of the target to be detected; The spectral collection module also includes a dual detector array and an ADC unit; The dual detector array is placed at the focal plane of the concave grating spectrometer and connected to the input of the ADC unit; it is used to acquire the full-band spectral intensity. The focal plane adopts a precision fine-tuning bracket, and the dual detectors (CCD / InGaAs) are spliced ​​along the dispersion direction, with 5% pixel overlap band reserved in the overlapping band. The data processing module includes a noise cancellation unit, a spectral separation unit, and a temperature calculation unit; The output of the noise cancellation unit is connected to the input of the spectral separation unit; the output of the spectral separation unit is connected to the input of the temperature calculation unit. The noise cancellation unit is used to eliminate noise in the ultraviolet to near-infrared full-band spectral data; The spectral separation unit is used to remove the wavelengths of gas absorption peaks in the ultraviolet to near-infrared light band. The temperature calculation unit is used to obtain the temperature of the target based on its spectrum; The gas concentration is calculated based on the spectrum and a pre-established spectral database, including: The spectrum is matched with a spectral database to obtain the corresponding key parameters, including the linear intensity of gas absorption at the target wavelength, temperature, and pressure. The core data for measuring the spectrum includes: optical path length, transmitted light intensity in the absence of gas, and transmitted light intensity in the presence of gas. Construct the concentration calculation function: Calculate the gas concentration using the concentration calculation function; in, The transmittance is expressed as: ; Indicates optical path length; This represents the linear intensity of gas absorption at the target wavelength; Indicates the intensity of transmitted light when gas is present; Indicates the intensity of transmitted light when there is no gas; Indicates gas concentration.

2. The temperature and gas detection system based on ultraviolet to near-infrared spectroscopy according to claim 1, characterized in that, The photon collection unit is composed of a quartz and magnesium fluoride composite lens group; The concave grating spectrometer consists of an entrance slit, a collimating mirror, and a reflective concave grating. The entrance slit is used to balance resolution and light intensity; the collimating lens is used to make the beam perpendicular to the concave grating; the reflective concave grating is used for dispersive beam splitting.

3. The temperature and gas detection system based on ultraviolet to near-infrared spectroscopy according to claim 1, characterized in that, The spectral separation unit is used to establish an ambient light intensity database when there is no gas to be measured; at the same time, it establishes an impurity absorption spectrum database and an ambient spectrum database. Based on the database of ambient light intensity, impurity absorption spectra, and ambient spectral database when there is no gas to be measured, energy-saving queries are performed in the ultraviolet to near-infrared light band, and wavelengths at gas absorption peaks are eliminated.

4. The temperature and gas detection system based on ultraviolet to near-infrared spectroscopy according to claim 1, characterized in that, The temperature calculation unit is used to construct and train a temperature analysis model; to analyze the spectrum of the target under test using the trained temperature analysis model to obtain the temperature of the target under test; and to process the spectrum of the target under test using Lambert-Beer's law.

5. A method for detecting temperature and gas based on ultraviolet to near-infrared spectroscopy, applied to the temperature and gas detection system based on ultraviolet to near-infrared spectroscopy as described in any one of claims 1-4, characterized in that, include: Acquire the spontaneous emission light of the target to be detected; Dispersive spectral analysis of spontaneous emission light yields spectral data across the entire ultraviolet to near-infrared band. The spectral data is denoised to obtain the spectrum of the target to be detected; Temperature data is obtained based on the spectral analysis of the target object; The gas concentration is calculated based on the spectrum and a pre-established spectral database; The spectral collection module includes a photon collection unit and a concave grating spectrometer; the output of the photon collection unit is connected to the input of the concave grating spectrometer. The photon collection unit is used to collect the spontaneous emission light of the target to be detected; The concave grating spectrometer is used to perform dispersive spectroscopy on the spontaneous emission light of the target to be detected; The spectral collection module also includes a dual detector array and an ADC unit; The dual detector array is placed at the focal plane of the concave grating spectrometer and connected to the input of the ADC unit; it is used to acquire the full-band spectral intensity. The focal plane adopts a precision fine-tuning bracket, and the dual detectors are spliced ​​along the dispersion direction, with a 5% pixel overlap band reserved in the overlapping band. The data processing module includes a noise cancellation unit, a spectral separation unit, and a temperature calculation unit; The output of the noise cancellation unit is connected to the input of the spectral separation unit; the output of the spectral separation unit is connected to the input of the temperature calculation unit. The noise cancellation unit is used to eliminate noise in the ultraviolet to near-infrared full-band spectral data; The spectral separation unit is used to remove the wavelengths of gas absorption peaks in the ultraviolet to near-infrared light band. The temperature calculation unit is used to obtain the temperature of the target based on its spectrum; The gas concentration is calculated based on the spectrum and a pre-established spectral database, including: The spectrum is matched with a spectral database to obtain the corresponding key parameters, including the linear intensity of gas absorption at the target wavelength, temperature, and pressure. The core data for measuring the spectrum includes: optical path length, transmitted light intensity in the absence of gas, and transmitted light intensity in the presence of gas. Construct the concentration calculation function: Calculate the gas concentration using the concentration calculation function; in, The transmittance is expressed as: ; Indicates optical path length; This represents the linear intensity of gas absorption at the target wavelength; Indicates the intensity of transmitted light when gas is present; Indicates the intensity of transmitted light when there is no gas; Indicates gas concentration.

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