Method and system for extracting characteristic absorption peak of mine multi-component polar gas

Abstract

The invention provides a method and system for extracting characteristic absorption peaks of mine multi-component polar gas, and belongs to the technical field of data extraction, and the method comprises the following steps: determining a plurality of absorption peaks based on the spectrum of the mine polar gas; the mine polar gas is any one of mine multi-component polar gases. And calculating the absorption peak area of the mine polar gas based on each absorption peak and the spectral interval corresponding to each absorption peak. And determining a correlation coefficient of each absorption peak based on the absorption peak area, and determining a characteristic absorption peak from the plurality of absorption peaks based on the correlation coefficients. According to the method and the system for extracting the characteristic absorption peak of the mine multi-component polar gas, provided by the invention, the accuracy of mine gas detection can be improved.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of data extraction, and more specifically, relates to a method and system for extracting characteristic absorption peaks of multi-component polar gases in mines. Background Art

[0002] There are many types of disaster gases in coal mines in my country, including Various gases such as nitrogen oxides and chlorine dioxide seriously threaten coal mine safety and the environment. Disasters can be predicted by monitoring gas concentrations and rising rates. Therefore, timely and accurate analysis of gas types and concentrations is of great significance for accident warning and ensuring personnel safety, and can also provide a basis for disaster prevention and mitigation.

[0003] However, the sensor method and gas chromatography method commonly used for qualitative and quantitative analysis of coal mine disaster gas still have problems and shortcomings. The sensor method is affected by the underground environment and has large errors. The gas chromatography method cannot monitor quickly and continuously and has complex maintenance operations. In order to overcome the shortcomings of existing technologies, such as long chromatography analysis time, difficult maintenance, inability to monitor online, and large deviations of portable measuring instrument sensors in low oxygen, it is urgent to study a new technical method to achieve rapid and accurate analysis of underground gas, control secondary and secondary disasters, and ensure the safety of rescue team members. Summary of the invention

[0004] The purpose of the present disclosure is to provide a method and system for extracting characteristic absorption peaks of multi-component polar gases in a mine, so as to improve the accuracy of mine gas detection.

[0005] A first aspect of the embodiments of the present disclosure provides a method for extracting characteristic absorption peaks of multi-component polar gases in a mine, comprising: A plurality of absorption peaks are determined based on the spectrum of the mine polar gas, wherein the mine polar gas is any one of the multi-component polar gases in the mine.

[0006] The absorption peak area of ​​the polar gas in the mine is calculated based on each absorption peak and the spectral interval corresponding to each absorption peak.

[0007] A correlation coefficient of each absorption peak is determined based on the absorption peak area, and a characteristic absorption peak is determined from the plurality of absorption peaks based on the correlation coefficient.

[0008] A second aspect of the embodiments of the present disclosure provides a system for extracting characteristic absorption peaks of multi-component polar gases in a mine, comprising: The first calculation module is used to determine multiple absorption peaks based on the spectrum of the mine polar gas. The mine polar gas is any gas in the mine multi-component polar gas.

[0009] The second calculation module is used to calculate the absorption peak area of ​​the polar gas in the mine based on each absorption peak and the spectral interval corresponding to each absorption peak.

[0010] The third calculation module is used to determine the correlation coefficient of each absorption peak based on the absorption peak area, and determine the characteristic absorption peak from the multiple absorption peaks based on the correlation coefficient.

[0011] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the above-mentioned method for extracting characteristic absorption peaks of multi-component polar gases in mines are implemented.

[0012] According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the steps of the above-mentioned method for extracting characteristic absorption peaks of multi-component polar gases in a mine are implemented.

[0013] The beneficial effects of a method and system for extracting characteristic absorption peaks of multi-component polar gases in a mine provided by the embodiments of the present disclosure are: On the one hand, the embodiments of the present disclosure can accurately capture the absorption peaks of various mine disaster gases by accurately identifying the spectral characteristics of mine polar gases, providing a reliable basis for the rapid identification of gas types.

[0014] On the other hand, the embodiment of the present disclosure further quantifies the concentration information of the gas by calculating the area of ​​each absorption peak, thereby improving the accuracy of detection. At the same time, the characteristic absorption peaks are screened out using the correlation coefficient, effectively eliminating interference factors and enhancing the accuracy and reliability of data analysis.

[0015] To sum up, the embodiments of the present disclosure not only overcome the shortcomings of traditional sensor method and gas chromatography, such as large errors and discontinuous monitoring, but also realize the rapid and accurate detection of mine gas, which is of great significance for controlling secondary and secondary disasters and ensuring the safety of rescue team members. It also provides a more scientific and effective technical means for mine disaster prevention and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 A schematic flow chart of a method for extracting characteristic absorption peaks of multi-component polar gases in a mine provided in one embodiment of the present disclosure; Figure 2A schematic flow chart of a method for extracting characteristic absorption peaks of multi-component polar gases in a mine provided by another embodiment of the present disclosure; Figure 3 A data diagram of the absorption peak and characteristic absorption peak of alkane gas provided in one embodiment of the present disclosure; Figure 4 A data diagram of alkane gas absorption peaks and characteristic absorption peaks provided by another embodiment of the present disclosure; Figure 5 A data diagram of olefin gas absorption peaks and characteristic absorption peaks provided in one embodiment of the present disclosure; Figure 6 A data diagram of the absorption peak and characteristic absorption peak of alkyne gas provided in one embodiment of the present disclosure; Figure 7 A data diagram of carbon oxide gas absorption peaks and characteristic absorption peaks provided in one embodiment of the present disclosure; Figure 8 A structural block diagram of a system for extracting characteristic absorption peaks of multi-component polar gases in a mine provided by an embodiment of the present disclosure; Fig. 9 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0018] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present disclosure. However, it should be clear to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present disclosure with unnecessary details.

[0019] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0020] Please refer to Figure 1 , Figure 1 A schematic flow chart of a method for extracting characteristic absorption peaks of multi-component polar gases in a mine provided in one embodiment of the present disclosure, the method may include S101 to S103.

[0021] S101: Determine multiple absorption peaks based on the spectrum of the mine polar gas. The mine polar gas is any gas in the mine multi-component polar gas.

[0022] like Figures 3 to 7 As shown, in this embodiment, coal mine disaster gas is a general term for various gases generated or released during coal mining that affect coal mine safety production, mainly including , , , , , , 、n- (n-butane), i- (isobutane), , , , nitrogen oxide gas and smoke, etc. Mine polar gas can include gases with polar molecular structure existing in the mine. Coal mine disaster gas includes a variety of mine polar gases, such as.

[0023] The spectrum is a manifestation of the absorption or emission characteristics of polar gases in mines to light of different wavelengths. When polar molecules or non-polar molecules containing polar bonds in polar gases in mines are irradiated with infrared light, the electrons in them will absorb the energy radiated by the infrared light, and the molecular rotation, the stretching vibration and bending vibration of the atomic valence bonds, and the coupling between vibrations will also absorb the energy radiated by the infrared light, thus producing an infrared absorption spectrum.

[0024] Considering that the peak area of ​​infrared absorption spectrum is less affected by sample and instrument factors than peak height, the absorption peak area is chosen to perform quantitative calculation of polar gases in mines to improve the accuracy of data analysis.

[0025] The absorption peak is the position in the spectrum where the gas strongly absorbs light at a specific wavelength. The parameters may include the position of the absorption peak (corresponding wavelength), the peak height of the absorption peak (absorbance), etc. Mine multi-component polar gas is a mixed gas composed of a variety of different mine polar gases.

[0026] For example, the spectrum of any one of the multi-component polar gases in the mine can be analyzed to find the position with specific absorption characteristics, i.e., the absorption peak. Specifically, the spectrum of the polar gas in the mine can be obtained using a spectrum detection device. The spectrum data is analyzed to identify the region where the absorbance changes significantly and is determined as the initial absorption peak. Adjustments are made according to environmental information and absorbance thresholds to obtain accurate multiple absorption peaks.

[0027] S102: Calculate the absorption peak area of ​​the mine polar gas based on each absorption peak and the spectral interval corresponding to each absorption peak.

[0028] In this embodiment, the spectral interval corresponding to the absorption peak refers to a wavelength range including the absorption peak, and the parameters may include the starting wavelength and the ending wavelength of the interval. The absorption peak area refers to the area enclosed by the absorption peak and the baseline in this spectral interval.

[0029] For example, the intensity of the absorption peak can be quantified by determining the spectral interval of the absorption peak and integrating the absorbance of the absorption peak in the interval, thereby obtaining the absorption peak area. Specifically, a numerical integration method, such as a trapezoidal integration method, is used to integrate the absorbance function in the spectral interval to calculate the absorption peak area.

[0030] S103: determining a correlation coefficient of each absorption peak based on the absorption peak area, and determining a characteristic absorption peak from the plurality of absorption peaks based on the correlation coefficient.

[0031] like Figure 2 As shown, exemplarily, a method for extracting characteristic absorption peaks of multi-component polar gases in a mine may include measuring the polar gas spectrum of the mine, extracting the absorption peak of the measured spectrum and limiting the spectral interval, quantitatively calculating the peak area of ​​the polar gas in the mine according to the absorption peak and the corresponding spectral interval, conducting a correlation study on the peak area of ​​the polar gas in the mine, calculating its correlation coefficient, and finally verifying the accuracy.

[0032] In this embodiment, the correlation coefficient indicates the closeness of the association between the absorption peak area and the key attributes of the target gas (mine polar gas) (such as gas concentration and content). The correlation coefficient may include covariance and standard deviation related parameters in the linear correlation coefficient (such as the Pearson correlation coefficient), reflecting the strength and direction of the linear relationship between the absorption peak area and variables such as gas concentration. The correlation coefficient may also include parameters of nonlinear correlation measurement indicators, such as the determination coefficient (R²), which is used to measure the goodness of fit of the regression model and reflect the closeness of the nonlinear relationship between the absorption peak area and the target attribute.

[0033] Exemplarily, the correlation coefficient of each absorption peak is determined based on the absorption peak area, including: The correlation coefficient of each absorption peak was determined based on the absorption peak area and the correlation coefficient equation.

[0034] The correlation coefficient equation is:

[0035] Among them, R represents correlation verification, represents the absorption peak area of ​​the i-th gas sample, represents the gas concentration of the i-th gas sample, n represents the number of samples, represents the average value of the absorption peak area of ​​all samples, Represents the average gas concentration of all samples.

[0036] For example, the correlation coefficient can be determined by analyzing the law of changes in the absorption peak area with the target gas properties (such as gas concentration). If the absorption peak area steadily increases or decreases with the increase of gas concentration, it indicates that the two are highly correlated. Characteristic absorption peaks are screened based on the correlation coefficient, and absorption peaks with strong correlation with the key properties of the target gas are selected. These absorption peaks can be effectively used for qualitative and quantitative analysis of the gas.

[0037] For example, as shown in Table 1, Table 1 is a data table of mine polar gas absorption peaks and characteristic absorption peaks provided in an embodiment of the present disclosure.

[0038]

[0039] For example, Figure 3 As shown, In 4000 To 500 There are two absorption peaks in the spectral range. After correlation study, the wave number interval of the absorption peak with the largest correlation coefficient is 3200. ~2800 , that is Characteristic absorption peak.

[0040] In 4000 To 500 There are three absorption peaks in the spectral range. After correlation study, the wave number range of the absorption peak with the largest correlation coefficient is 3800~2825 , that is Characteristic absorption peak.

[0041] In 4000 To 500 There is an absorption peak in the spectral range. After correlation study, the wave number range of the absorption peak with the largest correlation coefficient is 3050~2825 , that is Characteristic absorption peak.

[0042] like Figure 4 As shown, n- In 4000 To 500 There are two absorption peaks in the spectral range. After correlation study, the wave number range of the absorption peak with the largest correlation coefficient is 3025~2800 , which is n- Characteristic absorption peak.

[0043] i- In 4000 To 500 There are two absorption peaks in the spectral range. After correlation study, the wave number range of the absorption peak with the largest correlation coefficient is 3000~2850 , which is i- Characteristic absorption peak.

[0044] like Figure 5 As shown, In 4000 To 500 There are four absorption peaks in the spectrum range. After correlation study, the wave number range of the absorption peak with the largest correlation coefficient is 1100~800 , that is Characteristic absorption peak.

[0045] In 4000 To 500 There are four absorption peaks in the spectral range. After correlation study, the wave number range of the absorption peak with the largest correlation coefficient is 960~920 , that is Characteristic absorption peak.

[0046] like Figure 6 As shown, In 4000 To 500 There is an absorption peak in the spectral range. After correlation study, the wave number range of the absorption peak with the largest correlation coefficient is 1050~825 , that is Characteristic absorption peak.

[0047] like Figure 7 As shown, CO at 4000 To 500 There is an absorption peak in the spectral range. After correlation study, the wave number range of the absorption peak with the largest correlation coefficient is 2250~2025 , which is the characteristic absorption peak of CO.

[0048] In 4000 To 500 There is an absorption peak in the spectral range. After correlation study, the wave number range of the absorption peak with the largest correlation coefficient is 2390~2280 , that is Characteristic absorption peak.

[0049] From the above, it can be concluded that, on the one hand, the embodiments of the present disclosure can accurately capture the absorption peaks of various mine disaster gases by accurately identifying the spectral characteristics of mine polar gases, thereby providing a reliable basis for the rapid identification of gas types.

[0050] On the other hand, the embodiment of the present disclosure further quantifies the concentration information of the gas by calculating the area of ​​each absorption peak, thereby improving the accuracy of detection. At the same time, the characteristic absorption peaks are screened out using the correlation coefficient, effectively eliminating interference factors and enhancing the accuracy and reliability of data analysis.

[0051] To sum up, the embodiments of the present disclosure not only overcome the shortcomings of traditional sensor method and gas chromatography, such as large errors and discontinuous monitoring, but also realize the rapid and accurate detection of mine gas, which is of great significance for controlling secondary and secondary disasters and ensuring the safety of rescue team members. It also provides a more scientific and effective technical means for mine disaster prevention and control.

[0052] In one embodiment of the present disclosure, the absorption peak area of ​​the polar gas in the mine is calculated based on each absorption peak and the spectral interval corresponding to each absorption peak, including: Baseline correction is performed on each absorption peak to determine the baseline corresponding to each absorption peak.

[0053] The spectral interval of the absorption peak is determined based on each baseline and the absorption peak corresponding to each baseline.

[0054] The absorption peak area of ​​the polar gas in the mine is calculated based on the spectral interval of each absorption peak.

[0055] In this embodiment, determining the spectral interval of the absorption peak based on each baseline and the absorption peak corresponding to each baseline includes: The interval where the baseline and the absorption peak intersect is taken as the spectral interval of the absorption peak.

[0056] In the present embodiment, baseline correction is a data processing operation, the purpose of which is to eliminate background signals or interference factors other than the absorption peak in the spectrum, so that the characteristics of the absorption peak are more obvious and accurate. Baseline correction can include linear baseline correction, polynomial baseline correction, etc. The baseline is a curve or straight line of the background signal when there is no absorption peak in the spectrum. The baseline can be regarded as the basic signal superimposed by the absorption peak, which is used to distinguish the absorption peak signal from other background interference signals.

[0057] Exemplarily, a suitable baseline correction method is selected. If the background signal of the spectrum is relatively simple and approximately linear, a linear baseline correction can be selected. By selecting the data points at both ends of the spectrum, a straight line is fitted as the baseline using the least squares method. If the background signal presents a complex curve shape, a polynomial baseline correction can be used, and the polynomial degree (such as quadratic or cubic polynomial) is selected, and the polynomial function is fitted according to the spectral data points as the baseline. The fitted baseline signal is subtracted from the original spectral signal to obtain the corrected absorption peak signal.

[0058] For linear baseline correction, the baseline is determined by calculating the linear regression equation for the data points at the two ends of the spectrum or other suitable positions. For example, let the linear equation be , where m represents the slope and c represents the intercept. The values ​​of m and c are obtained by least squares fitting to determine the baseline.

[0059] For polynomial baseline correction, the spectral data points and the selected polynomial degree are used to solve the coefficients of the polynomial through matrix operations or numerical optimization algorithms (such as the Newton-Raphson method) to determine the functional expression of the baseline.

[0060] For the corrected spectral signal, the wavelength corresponding to the point where the baseline and the absorption peak intersect is solved by numerical calculation methods (such as bisection method, Newton iteration method, etc.). These wavelength values ​​determine the spectral range of the absorption peak.

[0061] In this embodiment, the absorption peak area of ​​the mine polar gas is calculated based on the spectral interval of each absorption peak, including: The absorption peak is integrated in the spectral interval corresponding to each absorption peak according to the peak area integration formula to obtain the absorption peak area of ​​the polar gas in the mine.

[0062] The peak area integration formula is:

[0063] Wherein, S represents the peak area of ​​the absorption peak, a and b represent the two end values ​​of the spectral interval, and f(x) represents the absorption peak curve function.

[0064] This embodiment effectively improves the calculation accuracy of the absorption peak area of ​​polar gases in mines through precise baseline correction and spectral interval determination. The use of linear or polynomial baseline correction methods can flexibly deal with background signals of different complexities to ensure that the absorption peak characteristics are obvious. By accurately solving the intersection of the baseline and the absorption peak, the accurate spectral interval is determined, laying a solid foundation for subsequent integral calculations. Finally, the peak area integral formula is used to integrate the absorption peak within the determined spectral interval, and a reliable absorption peak area of ​​polar gases in mines is obtained, which provides strong support for mine safety monitoring.

[0065] In one embodiment of the present disclosure, multiple absorption peaks are determined based on the spectrum of the polar gas in the mine, including: Multiple initial absorption peaks were determined based on the standard spectral range of polar gases in mines.

[0066] The multiple initial absorption peaks are adjusted based on the absorbance threshold and environmental information to obtain multiple absorption peaks.

[0067] In this embodiment, multiple initial absorption peaks are adjusted based on environmental information and absorbance thresholds to obtain multiple absorption peaks, including: The range intervals of the multiple initial absorption peaks are adjusted based on the environmental information to obtain multiple first absorption peaks.

[0068] A plurality of second absorption peaks are selected from the plurality of first absorption peaks based on an absorbance threshold value, and the plurality of second absorption peaks are used as a plurality of absorption peaks.

[0069] In this embodiment, the standard spectral interval is an interval within a specific wavelength range that is pre-set for the polar gas in the mine, and the characteristic absorption peak of the polar gas in the mine may appear in this interval. The standard spectral interval includes a starting wavelength and an ending wavelength, which determines the search range of the spectrum. The absorbance threshold is a critical value for screening absorption peaks, and an absorption peak with an absorbance higher than the absorbance threshold can be considered a meaningful absorption peak. The absorbance threshold can be determined according to experimental conditions and detection accuracy requirements. Environmental information refers to factors such as temperature, pressure, and humidity in the mine, which can affect the absorption characteristics of the gas and thus affect the position and intensity of the absorption peak. Environmental information can include temperature values, pressure values, humidity values, etc. The first absorption peak is the initial absorption peak adjusted by environmental information, which is closer to the absorption peak in the actual mine environment. The second absorption peak is the absorption peak that is finally used for analysis and is screened out from the first absorption peak through the absorbance threshold.

[0070] Exemplarily, multiple initial absorption peaks are determined based on the standard spectral interval. This process is based on prior knowledge of the polar gas in the mine, knowing that the characteristic absorption peak of the gas may appear in this interval. Then, the range interval of the initial absorption peak is adjusted considering the environmental information in the actual mine environment, because environmental factors will affect the absorption characteristics of the gas. Then, a meaningful second absorption peak is selected from the adjusted first absorption peak through the absorbance threshold, that is, multiple final absorption peaks for subsequent analysis.

[0071] Exemplarily, a standard spectral range is determined: through theoretical research on polar gases in mines and analysis of previous experimental data, the wavelength range in which the gas may have an absorption peak is determined as the standard spectral range.

[0072] Adjust the initial absorption peak: According to the actual measured environmental parameters such as mine temperature, pressure, humidity, etc., and using the known relationship between the environment and the gas absorption characteristics, adjust the position and intensity of the initial absorption peak. For example, if the temperature rise will cause the absorption peak to move to the short-wave direction, the wavelength of the absorption peak will be adjusted accordingly according to the temperature change. After the environmental adjustment, a first absorption peak that is more in line with the actual environment is obtained.

[0073] Set absorbance threshold: Determine an absorbance threshold based on the experimental accuracy requirements and the judgment of signal strength.

[0074] Screening the second absorption peak: The absorption peak with an absorbance higher than the absorbance threshold in the first absorption peak is selected as the second absorption peak for subsequent analysis and processing.

[0075] This embodiment combines the standard spectral range, environmental information and absorbance threshold, and carefully adjusts and screens the initial absorption peak, thereby ensuring that the final absorption peak is both accurate, reliable and efficient. This not only improves the accuracy of mine gas detection, but also helps to timely discover potential safety hazards. In addition, this embodiment is easy to operate, has strong practicality and applicability, provides a strong technical guarantee for mine safety production, and has important practical application value.

[0076] In one embodiment of the present disclosure, a method for extracting characteristic absorption peaks of multi-component polar gases in a mine further includes: Based on the characteristic absorption peaks, the multi-component polar gases in the mine to be tested are quantitatively analyzed to obtain the mine polar gas data.

[0077] In this embodiment, the characteristic absorption peak is an absorption peak that is optimized and screened to be representative of the polar gas in the mine, and the characteristic absorption peak absorbance or peak area is quantitatively correlated with the gas concentration. Different polar gases have unique absorption characteristics at specific wavelengths. When the gas concentration changes, the intensity (absorbance) or area of ​​the characteristic absorption peak will also change accordingly. By detecting this change, the concentration of the gas can be inferred. At the same time, since it is a multi-component gas, the characteristic absorption peaks of each component can be used to quantitatively analyze different polar gases.

[0078] For example, standard samples of multi-component polar gases in mines with known concentrations are prepared experimentally. The absorbance of these standard samples at characteristic absorption peaks is measured or the absorption peak area is calculated, and a curve or mathematical model of the relationship between absorbance (or absorption peak area) and concentration is established according to the Lambert-Beer law, and the parameters in the model, such as the molar absorption coefficient of different gases, are determined.

[0079] Use a spectrometer and other equipment to measure the absorbance or absorption peak area of ​​the multi-component polar gas in the mine to be tested at the characteristic absorption peak. Substitute the measured value into the established quantitative analysis model to calculate the concentration of each polar gas to obtain the mine polar gas data. In this process, ensure that the measurement conditions (such as optical path, temperature, pressure, etc.) are consistent with the conditions when the model was established or make corresponding corrections to improve the accuracy of the measurement. If there are multiple characteristic absorption peaks corresponding to different gases, perform the above analysis on each characteristic absorption peak to obtain the concentration information of each component in the multi-component gas.

[0080] This embodiment achieves simultaneous and accurate measurement of multiple polar gases by accurately identifying characteristic absorption peaks and using their quantitative relationship with gas concentration. This embodiment not only simplifies the complex mine gas analysis process, but also improves the automation of data processing. In addition, the analysis model established using known standard samples ensures the reliability and accuracy of the measurement results, providing strong data support for mine safety monitoring and disaster warning. The application of this embodiment is of great significance for ensuring mine operation safety and reducing accident risks.

[0081] Corresponding to the above embodiment, a method for extracting characteristic absorption peaks of multi-component polar gases in a mine is provided. Figure 8 This is a block diagram of a system for extracting characteristic absorption peaks of multi-component polar gases in a mine provided by an embodiment of the present disclosure. For ease of explanation, only the parts related to the embodiment of the present disclosure are shown. Figure 8 The system 20 for extracting characteristic absorption peaks of multi-component polar gases in mines includes: a first calculation module 21, a second calculation module 22 and a third calculation module 23.

[0082] The first calculation module 21 is used to determine multiple absorption peaks based on the spectrum of the mine polar gas. The mine polar gas is any gas in the mine multi-component polar gas.

[0083] The second calculation module 22 is used to calculate the absorption peak area of ​​the mine polar gas based on each absorption peak and the spectral interval corresponding to each absorption peak.

[0084] The third calculation module 23 is used to determine the correlation coefficient of each absorption peak based on the absorption peak area, and determine the characteristic absorption peak from the multiple absorption peaks based on the correlation coefficient.

[0085] In one embodiment of the present disclosure, the second calculation module 22 is specifically used to perform baseline correction on each absorption peak to determine the baseline corresponding to each absorption peak.

[0086] The spectral interval of the absorption peak is determined based on each baseline and the absorption peak corresponding to each baseline.

[0087] The absorption peak area of ​​the polar gas in the mine is calculated based on the spectral interval of each absorption peak.

[0088] In one embodiment of the present disclosure, the second calculation module 22 is further configured to use the interval where the intersection of the baseline and the absorption peak is located as the spectral interval of the absorption peak.

[0089] In one embodiment of the present disclosure, the second calculation module 22 is further configured to integrate the absorption peaks within the spectral interval corresponding to each absorption peak to obtain the absorption peak area of ​​the polar gas in the mine.

[0090] In one embodiment of the present disclosure, the first calculation module 21 is specifically used to determine a plurality of initial absorption peaks based on a standard spectral interval of the polar gas in the mine.

[0091] The multiple initial absorption peaks are adjusted based on the absorbance threshold and environmental information to obtain multiple absorption peaks.

[0092] In an embodiment of the present disclosure, the first calculation module 21 is further configured to adjust the range intervals of the multiple initial absorption peaks based on the environmental information to obtain the multiple first absorption peaks.

[0093] A plurality of second absorption peaks are selected from the plurality of first absorption peaks based on an absorbance threshold value, and the plurality of second absorption peaks are used as a plurality of absorption peaks.

[0094] In one embodiment of the present disclosure, a system 20 for extracting characteristic absorption peaks of multi-component polar gases in mines further includes: a fourth calculation module for quantitatively analyzing the multi-component polar gases in mines to be tested based on characteristic absorption peaks to obtain mine polar gas data.

[0095] See also Fig. 9 , Fig. 9 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. Fig. 9 The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303 and one or more memories 304. The processors 301, input devices 302, output devices 303 and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of the modules in the above-mentioned system embodiments, such as Figure 8 The functions of modules 21 to 23 are shown.

[0096] It should be understood that in the embodiment of the present disclosure, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0097] The input device 302 may include a touch panel, a fingerprint collection sensor (for collecting the user's fingerprint information and fingerprint direction information), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.

[0098] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information about the device type.

[0099] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present disclosure can execute the implementation methods described in the first and second embodiments of a method for extracting characteristic absorption peaks of multi-component polar gases in mines provided in the embodiments of the present disclosure, and can also execute the implementation methods of the electronic device 300 described in the embodiments of the present disclosure, which will not be repeated here.

[0100] In another embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by the processor, all or part of the processes in the above-mentioned embodiment method are implemented, and the computer program can also be completed by instructing the relevant hardware through the computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0101] The computer-readable storage medium may be an internal storage unit of the electronic device of any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Furthermore, the computer-readable storage medium may also include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

[0102] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.

[0103] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0104] In the several embodiments provided in the present application, it should be understood that the disclosed electronic device and method can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or it can be an electrical, mechanical or other form of connection.

[0105] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present disclosure.

[0106] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0107] The above are only specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present disclosure, and these modifications or replacements should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A method for extracting characteristic absorption peaks of multi-component polar gases in mines, characterized in that: include: Determine multiple absorption peaks based on the spectrum of polar gases in the mine; The mine polar gas is any gas among the mine multi-component polar gases; The absorption peak area of ​​the polar gas in the mine is calculated based on each absorption peak and the spectral interval corresponding to each absorption peak; A correlation coefficient of each absorption peak is determined based on the absorption peak area, and a characteristic absorption peak is determined from the plurality of absorption peaks based on the correlation coefficient.

2. The method for extracting characteristic absorption peaks of multi-component polar gases in a mine as claimed in claim 1, characterized in that: The method of calculating the absorption peak area of ​​the polar gas in the mine based on each absorption peak and the spectral interval corresponding to each absorption peak includes: Perform baseline correction on each absorption peak to determine the baseline corresponding to each absorption peak; Determine the spectral interval of the absorption peak based on each baseline and the absorption peak corresponding to each baseline; The absorption peak area of ​​the polar gas in the mine is calculated based on the spectral interval of each absorption peak.

3. The method for extracting characteristic absorption peaks of multi-component polar gases in a mine as claimed in claim 2, characterized in that: The determining of the spectral interval of the absorption peak based on each baseline and the absorption peak corresponding to each baseline comprises: The interval where the intersection of the baseline and the absorption peak is located is taken as the spectral interval of the absorption peak.

4. The method for extracting characteristic absorption peaks of multi-component polar gases in a mine as claimed in claim 2, characterized in that: The calculation of the absorption peak area of ​​the polar gas in the mine based on the spectral interval of each absorption peak includes: The absorption peak is integrated within the spectral interval corresponding to each absorption peak to obtain the absorption peak area of ​​the mine polar gas.

5. The method for extracting characteristic absorption peaks of multi-component polar gases in a mine as claimed in claim 1, characterized in that: The method of determining a plurality of absorption peaks based on the spectrum of the polar gas in the mine includes: Determine multiple initial absorption peaks based on the standard spectral interval of polar gases in mines; The multiple initial absorption peaks are adjusted based on the absorbance threshold and environmental information to obtain the multiple absorption peaks.

6. A method for extracting characteristic absorption peaks of multi-component polar gases in a mine as claimed in claim 5, characterized in that: The adjusting the multiple initial absorption peaks based on the environmental information and the absorbance threshold to obtain the multiple absorption peaks includes: Adjusting the range intervals of the multiple initial absorption peaks based on the environmental information to obtain multiple first absorption peaks; A plurality of second absorption peaks are selected from the plurality of first absorption peaks based on the absorbance threshold, and the plurality of second absorption peaks are used as the plurality of absorption peaks.

7. The method for extracting characteristic absorption peaks of multi-component polar gases in a mine as claimed in claim 1, characterized in that: Also includes: Based on the characteristic absorption peak, the multi-component polar gas in the mine to be tested is quantitatively analyzed to obtain the mine polar gas data.

8. A system for extracting characteristic absorption peaks of multi-component polar gases in mines, characterized in that: include: A first calculation module, for determining a plurality of absorption peaks based on a spectrum of the polar gas in the mine; The mine polar gas is any gas among the mine multi-component polar gases; A second calculation module is used to calculate the absorption peak area of ​​the polar gas in the mine based on each absorption peak and the spectral interval corresponding to each absorption peak; The third calculation module is used to determine the correlation coefficient of each absorption peak based on the absorption peak area, and determine a characteristic absorption peak from the multiple absorption peaks based on the correlation coefficient.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images