A method and system for extracting characteristic absorption peaks of multi-component polar gas in a mine

Abstract

The present disclosure provides a method and system for extracting characteristic absorption peaks of multi-component polar gas in a mine, belonging to the technical field of data extraction. The method comprises: determining a plurality of absorption peaks based on the spectrum of polar gas in a mine. The polar gas in the mine is any one of the multi-component polar gas in the mine. The absorption peak area of the polar gas in the mine is calculated based on each absorption peak and the corresponding spectral interval of each absorption peak. The correlation coefficient of each absorption peak is determined based on the absorption peak area, and the characteristic absorption peak is determined from the plurality of absorption peaks based on the correlation coefficient. The method and system for extracting characteristic absorption peaks of multi-component polar gas in a mine provided by the present disclosure can improve the accuracy of mine gas detection.

Description

TECHNICAL FIELD

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

[0002] There are many types of disaster gases in coal mines in China, including and many other gases, which seriously threaten coal mine safety production and the environment. By monitoring gas concentration and rising rate, disasters can be predicted, so timely and accurate analysis of gas types and concentrations is of great significance for accident warning and 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 gases still have problems and deficiencies. The sensor method has large errors due to the influence of the underground environment, and the gas chromatography method cannot be quickly and continuously monitored and has complex maintenance and operation. In order to overcome the deficiencies of existing technologies, such as long chromatographic analysis time, difficult maintenance, inability to monitor online, and large deviation of portable detector sensors in low oxygen, a new technical method is urgently needed to achieve rapid and accurate analysis of underground gases, control secondary and secondary disasters, and ensure the safety of rescue personnel. SUMMARY

[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, to improve the accuracy of mine gas detection.

[0005] In a first aspect, the present disclosure provides a method for extracting characteristic absorption peaks of multi-component polar gases in a mine, comprising:

[0006] Determining a plurality of absorption peaks based on the spectrum of the mine polar gas. The mine polar gas is any one of the mine multi-component polar gases.

[0007] Calculating the absorption peak area of the mine polar gas based on each absorption peak and the spectral interval corresponding to each absorption peak.

[0008] Determining the correlation coefficient of each absorption peak based on the absorption peak area, and determining the characteristic absorption peak from the plurality of absorption peaks based on the correlation coefficient.

[0009] In a second aspect, the present disclosure provides a system for extracting characteristic absorption peaks of multi-component polar gases in a mine, comprising:

[0010] A first calculation module is configured to determine a plurality of absorption peaks based on the spectrum of the mine polar gas. The mine polar gas is any one of the mine multi-component polar gases.

[0011] The second calculation module is configured to calculate an absorption peak area of the mine polar gas based on each absorption peak and a spectral interval corresponding to each absorption peak.

[0012] The third calculation module is configured to determine a correlation coefficient of each absorption peak based on the absorption peak area, and determine a characteristic absorption peak from the plurality of absorption peaks based on the correlation coefficient.

[0013] In a third aspect, the present disclosure provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the steps of the above-mentioned method for extracting characteristic absorption peaks of mine multi-component polar gas when executing the computer program.

[0014] In a fourth aspect, the present disclosure provides a computer-readable storage medium, which stores a computer program, and the computer program implements the steps of the above-mentioned method for extracting characteristic absorption peaks of mine multi-component polar gas when executed by a processor.

[0015] The method and system for extracting characteristic absorption peaks of mine multi-component polar gas provided by the present disclosure have the following advantages:

[0016] On the one hand, the present disclosure can accurately capture the absorption peaks of multiple mine disaster gases by accurately identifying the spectral characteristics of mine polar gas, and provides a reliable basis for rapid identification of gas types.

[0017] On the other hand, the present disclosure further quantifies the concentration information of the gas by calculating the area of each absorption peak, improves the accuracy of detection, and uses the correlation coefficient to screen out the characteristic absorption peak, effectively eliminates the interference factors, and enhances the accuracy and reliability of data analysis.

[0018] In summary, the present disclosure not only overcomes the shortcomings of the traditional sensor method and gas chromatography method, such as large error and discontinuous monitoring, but also realizes rapid and accurate detection of mine gas, which is of great significance for controlling secondary and secondary disasters and ensuring the safety of rescue personnel, and also provides a more scientific and effective technical means for mine disaster prevention and control. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative labor.

[0020] Figure 1A flowchart of a method for extracting characteristic absorption peaks of multi-component polar gases in a mine according to an embodiment of the present disclosure is shown in FIG. 1.

[0021] Figure 2 A flowchart of a method for extracting characteristic absorption peaks of multi-component polar gases in a mine according to another embodiment of the present disclosure is shown in FIG. 2.

[0022] Figure 3 A data graph of absorption peaks and characteristic absorption peaks of alkane gases according to an embodiment of the present disclosure is shown in FIG. 3.

[0023] Figure 4 A data graph of absorption peaks and characteristic absorption peaks of alkane gases according to another embodiment of the present disclosure is shown in FIG. 4.

[0024] Figure 5 A data graph of absorption peaks and characteristic absorption peaks of alkene gases according to an embodiment of the present disclosure is shown in FIG. 5.

[0025] Figure 6 A data graph of absorption peaks and characteristic absorption peaks of alkyne gases according to an embodiment of the present disclosure is shown in FIG. 6.

[0026] Figure 7 A data graph of absorption peaks and characteristic absorption peaks of carbon oxide compounds according to an embodiment of the present disclosure is shown in FIG. 7.

[0027] Figure 8 A block diagram of a system for extracting characteristic absorption peaks of multi-component polar gases in a mine according to an embodiment of the present disclosure is shown in FIG. 8.

[0028] Figure 9 A schematic block diagram of an electronic device according to an embodiment of the present disclosure is shown in FIG. 9. DETAILED DESCRIPTION

[0029] In the following description, specific details are set forth, such as particular system configurations, techniques, etc., in order to provide a thorough understanding of the present embodiments. However, persons skilled in the art will understand that the present disclosure can be practiced without these specific details. In other instances, well-known structures, devices, circuits, and methods have not been described in detail in order to avoid obscuring the present disclosure.

[0030] In order to make the objects, technical solutions and advantages of the present disclosure clearer, the following will be described in detail with reference to the accompanying drawings.

[0031] Reference will now be made to Figure 1 , Figure 1 A flowchart of a method for extracting characteristic absorption peaks of multi-component polar gases in a mine according to an embodiment of the present disclosure is shown in FIG. 1. The method can include S101-S103.

[0032] S101: Determine a plurality of absorption peaks based on the spectrum of the mine polar gas. The mine polar gas is any one of the mine multi-component polar gas.

[0033] As shown in the present embodiment, the coal mine disaster gas is a general term for various gases generated or released in coal mining that affect the safety of coal production, mainly including Figures 3 to 7 , , , , , , , , n- (n-butane), i- (isobutane), , , , nitrogen oxide gas and smoke dust, etc. The mine polar gas can include a gas with a polar molecular structure present in the mine. The coal mine disaster gas includes a plurality of mine polar gases, for example.

[0034] The spectrum is the performance of the absorption or emission characteristics of the mine polar gas to different wavelengths of light. When the polar molecules or non-polar molecules containing polar bonds in the mine polar gas are irradiated by infrared light, the electrons in them will absorb the energy radiated by the infrared light, and the molecular rotation, atomic bond stretching vibration and bending vibration, coupling between vibrations, etc. will also absorb the energy radiated by the infrared light, thereby generating an infrared absorption spectrum.

[0035] Considering that the peak area of the infrared absorption spectrum is affected by sample factors and instrument factors than the peak height, the absorption peak peak area is selected for quantitative calculation of the mine polar gas, and the accuracy of data analysis is improved.

[0036] The absorption peak is the position where the gas has strong absorption of light at a specific wavelength in the spectrum, and the parameters can include the position of the absorption peak (corresponding wavelength), the peak height of the absorption peak (absorbance), etc. The mine multi-component polar gas is a mixed gas composed of a plurality of different mine polar gases.

[0037] For example, by analyzing the spectrum of any one of the mine multi-component polar gas, the position with specific absorption characteristics, i.e. the absorption peak, can be found. Specifically, the spectrum of the mine polar gas can be obtained using a spectrum detection device. Analyze the spectrum data and identify the region with a significant change in absorbance as the initial absorption peak. Adjust according to environmental information and absorbance threshold, etc. to obtain accurate absorption peaks.

[0038] 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.

[0039] In the present embodiment, the spectral interval corresponding to the absorption peak refers to a wavelength range containing the absorption peak, and the parameters can 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 within the spectral interval.

[0040] For example, the intensity of the absorption peak can be quantified by determining the spectral interval of the absorption peak, integrating the absorbance of the absorption peak within the interval, and obtaining the absorption peak area. Specifically, the numerical integration method, such as the trapezoidal integration method, is used to integrate the absorbance function within the spectral interval to calculate the absorption peak area.

[0041] S103: 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.

[0042] As Figure 2 shown, an example method for extracting characteristic absorption peaks of mine multi-component polar gas can include measuring mine polar gas spectrum, extracting absorption peaks from the measured spectrum and limiting spectral interval, quantitatively calculating mine polar gas peak area according to absorption peaks and corresponding spectral interval, studying the correlation of mine polar gas peak area, calculating its correlation coefficient, and finally verifying the accuracy.

[0043] In the present embodiment, the correlation coefficient represents the closeness of the correlation between the absorption peak area and the key attributes (such as gas concentration, content) of the target gas (mine polar gas). The correlation coefficient can include the covariance and standard deviation correlation parameters in the linear correlation coefficient (such as Pearson correlation coefficient), reflecting the strength and direction of the linear relationship between the absorption peak area and the gas concentration and other variables. The correlation coefficient can also include parameters of non-linear correlation measures, such as the determination coefficient (R²), which is used to measure the goodness of fit of the regression model and reflects the closeness of the non-linear relationship between the absorption peak area and the target attributes.

[0044] For example, the correlation coefficient of each absorption peak is determined based on the absorption peak area, which includes:

[0045] The correlation coefficient of each absorption peak is determined based on the absorption peak area and the correlation coefficient equation.

[0046] The correlation coefficient equation is:

[0047]

[0048] where R represents the correlation verification, the absorption peak area of the i-th gas sample, the gas concentration of the i-th gas sample, and n represents the number of samples, the average value of the absorption peak area of all samples, represents the average value of the gas concentration of all samples.

[0049] For example, the correlation coefficient can be determined by analyzing the regularity of the change of the absorption peak area with the target gas attribute (such as the gas concentration). If the absorption peak area increases or decreases stably with the increase of the gas concentration, it indicates that the correlation between them is high. The characteristic absorption peak is screened based on the correlation coefficient, and the absorption peak with strong correlation with the key attribute of the target gas is selected, which can be effectively used for qualitative and quantitative analysis of the gas.

[0050] For example, as shown in Table 1, Table 1 is a data table of the mine polar gas absorption peak and the characteristic absorption peak provided by an embodiment of the present disclosure.

[0051]

[0052] For example, as shown in Table 1, Table 1 is a data table of the mine polar gas absorption peak and the characteristic absorption peak provided by an embodiment of the present disclosure. Figure 3 There are two absorption peaks in the spectral interval of 4000 to 500 , and after correlation research, the wavenumber interval of the absorption peak with the largest correlation coefficient is 3200 ~2800 , which is the characteristic absorption peak.

[0053] There are three absorption peaks in the spectral interval of 4000 to 500 , and after correlation research, the wavenumber interval of the absorption peak with the largest correlation coefficient is 3800~2825 , which is the characteristic absorption peak.

[0054] There is one absorption peak in the spectral interval of 4000 to 500 , and after correlation research, the wavenumber interval of the absorption peak with the largest correlation coefficient is 3050~2825 , which is the characteristic absorption peak. As shown in Table 1, n-

[0055] There are two absorption peaks in the spectral interval of 4000 Figure 4 to 500 , and after correlation research, the wavenumber interval of the absorption peak with the largest correlation coefficient is 3025~2800 , which is the characteristic absorption peak of n- ​​​​​​

[0056] i- In the spectrum range of 4000 to 500 , there are two absorption peaks, and the wave number range of the absorption peak with the largest correlation coefficient is 3000~2850 after correlation study, i.e. the characteristic absorption peak.

[0057] As shown in Table 1, in the spectrum range of 4000 Figure 5 to 500 , there are four absorption peaks, and the wave number range of the absorption peak with the largest correlation coefficient is 1100~800 after correlation study, i.e. the characteristic absorption peak.

[0058] In the spectrum range of 4000 to 500 , there are four absorption peaks, and the wave number range of the absorption peak with the largest correlation coefficient is 960~920 after correlation study, i.e. the characteristic absorption peak.

[0059] As shown in Table 1, in the spectrum range of 4000 Figure 6 to 500 , there is one absorption peak, and the wave number range of the absorption peak with the largest correlation coefficient is 1050~825 after correlation study, i.e. the characteristic absorption peak. As shown in Table 1, CO has one absorption peak in the spectrum range of 4000 to 500

[0060] , and the wave number range of the absorption peak with the largest correlation coefficient is 2250~2025 Figure 7 after correlation study, i.e. the characteristic absorption peak of CO.

[0061] In the spectrum range of 4000 to 500 , there is one absorption peak, and the wave number range of the absorption peak with the largest correlation coefficient is 2390~2280 after correlation study, i.e. the characteristic absorption peak.

[0062] ​​​​​​​​​​From the above, on the one hand, the embodiment of the present disclosure can accurately capture the absorption peaks of various mine disaster gases by accurately identifying the spectral characteristics of the mine polar gas, thereby providing a reliable basis for rapid identification of the gas type.

[0063] 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, improves the accuracy of detection, and at the same time, uses the correlation coefficient to filter out the characteristic absorption peak, effectively eliminates the interference factors, and enhances the accuracy and reliability of data analysis.

[0064] In summary, the embodiment of the present disclosure not only overcomes the shortcomings of the traditional sensor method and gas chromatography method, such as large error, discontinuous monitoring, etc., but also realizes rapid and accurate detection of mine gas, which is of great significance for controlling secondary and secondary disasters and ensuring the safety of rescue personnel, and also provides a more scientific and effective technical means for mine disaster prevention and control.

[0065] In an embodiment of the present disclosure, the absorption peak area of the mine polar gas is calculated based on each absorption peak and the spectral interval corresponding to each absorption peak, comprising:

[0066] Baseline correction is performed on each absorption peak to determine the baseline corresponding to each absorption peak.

[0067] The spectral interval of the absorption peak is determined based on each baseline and the absorption peak corresponding to each baseline.

[0068] The absorption peak area of the mine polar gas is calculated based on the spectral interval of each absorption peak.

[0069] In the present embodiment, the spectral interval of the absorption peak is determined based on each baseline and the absorption peak corresponding to each baseline, comprising:

[0070] The interval where the intersection of the baseline and the absorption peak is located is taken as the spectral interval of the absorption peak.

[0071] In the present embodiment, baseline correction is a data processing operation, and the purpose is to eliminate the background signal or interference factors in the spectrum except the absorption peak, 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 on which the absorption peak is superimposed, and is used to distinguish the absorption peak signal and other background interference signals.

[0072] For example, a suitable baseline correction method is selected. If the background signal of the spectrum is relatively simple and approximately linear, 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, polynomial baseline correction can be used, and the polynomial degree (such as quadratic or cubic polynomial) is selected. According to the spectral data points, a polynomial function is fitted as the baseline. The baseline signal obtained by fitting is subtracted from the original spectral signal to obtain the corrected absorption peak signal.

[0073] For linear baseline correction, the baseline is determined by calculating the linear regression equation of the data points at both ends or other suitable positions of the spectrum. For example, let the linear equation be where m represents the slope and c represents the intercept. The values of m and c are fitted by the least squares method to determine the baseline.

[0074] For polynomial baseline correction, the coefficients of the polynomial are solved by matrix operation or numerical optimization algorithm (such as Newton-Raphson method) using the spectral data points and the selected polynomial degree, and then the function expression of the baseline is determined.

[0075] For the corrected spectral signal, the wavelengths corresponding to the intersection points of the baseline and the absorption peak are solved by numerical calculation method (such as bisection method, Newton iteration method, etc.). These wavelength values determine the spectral interval of the absorption peak.

[0076] In this embodiment, the absorption peak area of the mine polar gas is calculated based on the spectral interval of each absorption peak, including:

[0077] According to the peak area integral formula, the absorption peak is integrated in the spectral interval corresponding to each absorption peak to obtain the absorption peak area of the mine polar gas.

[0078] The peak area integral formula is:

[0079]

[0080] where 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.

[0081] This embodiment effectively improves the calculation accuracy of the absorption peak area of the mine polar gas by accurate baseline correction and spectral interval determination. Using linear or polynomial baseline correction method, different complexity of background signal can be flexibly dealt with to ensure that the absorption peak feature is obvious. By accurately solving the intersection points of the baseline and the absorption peak, the accurate spectral interval is determined, which lays a solid foundation for subsequent integral calculation. Finally, the peak area integral formula is used to integrate the absorption peak in the determined spectral interval to obtain the reliable absorption peak area of the mine polar gas, which provides strong support for mine safety monitoring.

[0082] In an embodiment of the present disclosure, the plurality of absorption peaks are determined based on a spectrum of the mine polar gas, comprising:

[0083] The plurality of initial absorption peaks are determined based on a standard spectrum interval of the mine polar gas.

[0084] The plurality of initial absorption peaks are adjusted based on the absorbance threshold and the environmental information to obtain the plurality of absorption peaks.

[0085] In the embodiment, the plurality of initial absorption peaks are adjusted based on the environmental information and the absorbance threshold to obtain the plurality of absorption peaks, comprising:

[0086] The range interval of the plurality of initial absorption peaks is adjusted based on the environmental information to obtain a plurality of first absorption peaks.

[0087] The 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 taken as the plurality of absorption peaks.

[0088] In the embodiment, the standard spectrum interval is an interval in a specific wavelength range that is pre-set for the mine polar gas, and the characteristic absorption peak of the mine polar gas can appear in the interval. The standard spectrum interval includes a start wavelength and an end wavelength, which determines the search range of the spectrum. The absorbance threshold is a critical value for screening absorption peaks, and the absorption peak with an absorbance higher than the absorbance threshold can be considered as a meaningful absorption peak. The absorbance threshold can be determined according to experimental conditions and detection accuracy requirements. The 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. The environmental information can include temperature values, pressure values, and humidity values. The first absorption peak is the initial absorption peak adjusted by the environmental information, which is closer to the absorption peak in the actual mine environment. The second absorption peak is the final absorption peak selected from the first absorption peak by the absorbance threshold for analysis.

[0089] For example, the plurality of initial absorption peaks are determined based on the standard spectrum interval. This process is based on prior knowledge of the mine polar gas, which knows that the characteristic absorption peak of the gas can 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 the environmental factors can affect the absorption characteristics of the gas. Then, the meaningful second absorption peak, i.e., the plurality of final absorption peaks, is selected from the adjusted first absorption peak by the absorbance threshold for subsequent analysis.

[0090] For example, the standard spectrum interval is determined by theoretical research and analysis of the preliminary experimental data of the mine polar gas to determine the wavelength range in which the absorption peak of the gas can appear as the standard spectrum interval.

[0091] Adjusting the initial absorption peak: According to the actual measured environmental parameters such as mine temperature, pressure, humidity, etc., the influence of known environment on gas absorption characteristics is used to adjust the position and intensity of the initial absorption peak. For example, if the temperature rises, the absorption peak will move to the short wave direction, so the wavelength of the absorption peak is adjusted accordingly according to the temperature change. After environmental adjustment, a first absorption peak more consistent with the actual environment is obtained.

[0092] Setting the absorbance threshold: According to the experimental accuracy requirements and the judgment of signal intensity, an absorbance threshold is determined.

[0093] Screening the second absorption peak: The absorption peak with absorbance higher than the absorbance threshold in the first absorption peak is selected as the second absorption peak for subsequent analysis and processing.

[0094] The embodiment combines standard spectral interval, environmental information and absorbance threshold to finely adjust and screen the initial absorption peak, thereby ensuring that the final obtained absorption peak is 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, the embodiment is simple to operate, has strong practicality and applicability, provides strong technical support for mine safety production, and has important practical application value.

[0095] In an embodiment of the present disclosure, a method for extracting characteristic absorption peaks of mine multi-component polar gas further comprises:

[0096] Based on the characteristic absorption peaks, the mine multi-component polar gas to be measured is quantitatively analyzed to obtain mine polar gas data.

[0097] In the embodiment, the characteristic absorption peak is an absorption peak that is optimally screened and representative of the mine polar gas, and the characteristic absorption peak absorbance or peak area has a quantitative correlation with the gas concentration. Different polar gases have unique absorption characteristics at specific wavelengths, and 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 inversely deduced. 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.

[0098] For example, standard samples of mine multi-component polar gas with known concentrations are prepared by experiment. The absorbance at the characteristic absorption peak or the absorption peak area is measured, and the relationship curve or mathematical model between absorbance (or absorption peak area) and concentration is established according to the Lambert-Beer law to determine the parameters in the model, such as the molar absorption coefficient of different gases.

[0099] The light spectrometer and other devices are used to measure the absorbance or absorption peak area of the characteristic absorption peak of the multi-component polar gas in the mine to be measured. The measured value is substituted into the established quantitative analysis model to calculate the concentration of each polar gas, thereby obtaining the polar gas data in the mine. In this process, the measurement conditions (such as optical path, temperature, pressure, etc.) are ensured to be consistent with the conditions when the model is established or corresponding corrections are made to improve the accuracy of the measurement. If there are multiple characteristic absorption peaks corresponding to different gases, the above analysis is performed on each characteristic absorption peak to obtain the concentration information of each component in the multi-component gas.

[0100] The embodiment accurately identifies the characteristic absorption peak and uses the quantitative relationship between the characteristic absorption peak and the gas concentration to realize the simultaneous and accurate measurement of multiple polar gases. The embodiment not only simplifies the complex mine gas analysis process, but also improves the automation degree of data processing. In addition, the analysis model established by using the known standard sample ensures the reliability and accuracy of the measurement results, and provides strong data support for mine safety monitoring and disaster warning. The application of the embodiment is of great significance for ensuring the safety of mine operation and reducing the risk of accidents.

[0101] A method for extracting a characteristic absorption peak of a multi-component polar gas in a mine corresponding to the above embodiment, Figure 8 A structural block diagram of a system for extracting a characteristic absorption peak of a multi-component polar gas in a mine is provided for an embodiment of the present disclosure. For ease of illustration, only parts related to the embodiments of the present disclosure are shown. For reference Figure 8 The system for extracting a characteristic absorption peak of a multi-component polar gas in a mine 20 includes a first calculation module 21, a second calculation module 22, and a third calculation module 23.

[0102] The first calculation module 21 is configured to determine a plurality of absorption peaks based on the spectrum of the polar gas in the mine. The polar gas in the mine is any one of the multi-component polar gas in the mine.

[0103] The second calculation module 22 is configured 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.

[0104] The third calculation module 23 is configured to determine the correlation coefficient of each absorption peak based on the absorption peak area, and determine the characteristic absorption peak from the plurality of absorption peaks based on the correlation coefficient.

[0105] In an embodiment of the present disclosure, the second calculation module 22 is specifically configured to perform baseline correction on each absorption peak to determine the baseline corresponding to each absorption peak.

[0106] The spectral interval of the absorption peak is determined based on each baseline and the absorption peak corresponding to each baseline.

[0107] The absorption peak area of ​​the polar gas in the mine is calculated based on the spectral range of each absorption peak.

[0108] In one embodiment of this 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.

[0109] In one embodiment of this disclosure, the second calculation module 22 is further used to integrate the absorption peak within the spectral range corresponding to each absorption peak to obtain the absorption peak area of ​​the mine polar gas.

[0110] In one embodiment of this disclosure, the first calculation module 21 is specifically used to determine multiple initial absorption peaks based on the standard spectral range of mine polar gases.

[0111] Multiple absorption peaks were obtained by adjusting multiple initial absorption peaks based on absorbance thresholds and environmental information.

[0112] In one embodiment of this disclosure, the first calculation module 21 is further configured to adjust the range of multiple initial absorption peaks based on environmental information to obtain multiple first absorption peaks.

[0113] Multiple second absorption peaks are selected from multiple first absorption peaks based on absorbance thresholds, and these multiple second absorption peaks are used as multiple absorption peaks.

[0114] In one embodiment of this disclosure, a system 20 for extracting characteristic absorption peaks of multi-component polar gases in mines further includes: a fourth calculation module, used to perform quantitative analysis of the multi-component polar gases in the mine to be tested based on the characteristic absorption peaks, and obtain mine polar gas data.

[0115] See Figure 9 , Figure 9 This is a schematic block diagram of an electronic device provided according to an embodiment of the present disclosure. Figure 9 The electronic device 300 in this embodiment 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 memories 304 store computer programs, including program instructions. The processors 301 execute the program instructions stored in the memories 304. Specifically, the processors 301 are configured to invoke the program instructions to perform the functions of the modules in the aforementioned system embodiments, for example... Figure 8 The functions of modules 21 to 23 are shown.

[0116] It should be appreciated that the processor 301 in the embodiments of the present disclosure can be a central processing unit (CPU), and can also be other general-purpose processors, 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, or the like. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0117] The input device 302 can include a touchpad, a fingerprint collection sensor (for collecting fingerprint information and direction information of a fingerprint of a user), a microphone, and the like, and the output device 303 can include a display (LCD, etc.), a speaker, and the like.

[0118] The memory 304 can include a read-only memory and a random access memory, and provide the processor 301 with instructions and data. A portion of the memory 304 can also include a non-volatile random access memory. For example, the memory 304 can also store device type information.

[0119] In specific implementations, the processor 301, the input device 302, and the output device 303 described in the embodiments of the present disclosure can execute the implementation manners described in the first and second embodiments of the method for extracting a characteristic absorption peak of a multi-component polar gas in a mine provided by the embodiments of the present disclosure, and can also execute the implementation manners of the electronic device 300 described in the embodiments of the present disclosure, which will not be described here again.

[0120] In another embodiment of the present disclosure, a computer readable storage medium is provided, which stores a computer program. The computer program includes program instructions, which, when executed by a processor, implement all or part of the processes of the above-mentioned embodiment methods. The computer program can also instruct related hardware to complete the above-mentioned processes. The computer program can be stored in a computer readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0121] The computer readable storage medium can be an internal storage unit of the electronic device of any of the above-mentioned embodiments, such as a hard disk or a memory of the electronic device. The computer readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Further, the computer readable storage medium can include both the internal storage unit and the external storage device of the electronic device. The computer readable storage medium is used to store the computer program and other programs and data required by the electronic device. The computer readable storage medium can also be used to temporarily store data that has been output or will be output.

[0122] Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be realized in electronic hardware, computer software or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been described in general terms in the above description. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present disclosure.

[0123] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic device and the units described above can refer to the corresponding processes in the above-mentioned method embodiments, which will not be described here.

[0124] In several embodiments provided in the present application, it should be understood that the disclosed electronic device and method can be implemented in other manners. For example, the embodiments of the system described above are merely illustrative. For example, the division of the units is only a logical function division. There can be another division manner for the 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 displayed or discussed coupling or direct coupling or communication connection between the units can be indirect coupling or communication connection through some interfaces, or can be in electrical, mechanical or other forms.

[0125] The units described as separated components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments of the present disclosure.

[0126] In addition, each functional unit in the various embodiments of the present disclosure can be integrated in one processing unit, or each unit can exist physically as a separate unit, or two or more units can be integrated in one unit. The integrated unit can be implemented in the form of hardware, or in the form of a software functional unit.

[0127] The above is merely specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto, and any skilled person in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present disclosure, and these modifications or replacements should be covered in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be subject to 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: Multiple initial absorption peaks were determined based on the standard spectral range of polar gases in mines; Based on environmental information, the range of the multiple initial absorption peaks is adjusted to obtain multiple first absorption peaks; The absorption peak with absorbance higher than the absorbance threshold in the first absorption peak is taken as the second absorption peak, and multiple second absorption peaks are taken as the multiple absorption peaks; the environmental information includes the temperature, pressure, and humidity in the mine; the polar gas in the mine is any one of the multi-component polar gases in the mine; The absorption peak area of ​​the polar gas in the mine is calculated based on each absorption peak and the corresponding spectral range. The correlation coefficient of each absorption peak is determined based on the equation of absorption peak area and correlation coefficient. The correlation coefficient equation is: Where R represents the correlation verification, This represents the absorption peak area of ​​the i-th gas sample. Let represent the gas concentration of the i-th gas sample, and n represent the number of samples. This represents the average absorption peak area of ​​all samples. This represents the average gas concentration across all samples. Characteristic absorption peaks are 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 mines as described in claim 1, characterized in that, The calculation of the absorption peak area of ​​the polar gas in the mine based on each absorption peak and the corresponding spectral range includes: Baseline correction is performed on each absorption peak to determine the baseline corresponding to each absorption peak; The spectral range of the absorption peak is determined 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 range of each absorption peak.

3. The method for extracting characteristic absorption peaks of multi-component polar gases in mines as described in claim 2, characterized in that, Determining the spectral range of the absorption peak based on each baseline and the corresponding absorption peak includes: The interval at which the baseline intersects with the absorption peak is defined as the spectral range of the absorption peak.

4. The method for extracting characteristic absorption peaks of multi-component polar gases in mines as described in claim 2, characterized in that, The calculation of the absorption peak area of ​​the polar gas in the mine based on the spectral range of each absorption peak includes: The absorption peak area of ​​the mine polar gas is obtained by integrating the absorption peak within the spectral range corresponding to each absorption peak.

5. The method for extracting characteristic absorption peaks of multi-component polar gases in mines as described in claim 1, characterized in that, Also includes: Based on the characteristic absorption peaks, quantitative analysis of the multi-component polar gas in the mine under test was performed to obtain mine polar gas data.

6. A system for extracting characteristic absorption peaks of multi-component polar gases in mines, characterized in that, include: The first calculation module is used to determine multiple initial absorption peaks based on the standard spectral range of polar gases in the mine; Based on environmental information, the range of the multiple initial absorption peaks is adjusted to obtain multiple first absorption peaks; the absorption peaks in the first absorption peaks with absorbance higher than the absorbance threshold are taken as second absorption peaks, and the multiple second absorption peaks are taken as the multiple absorption peaks; the environmental information includes the temperature, pressure, and humidity in the mine; the polar gas in the mine is any one of the multi-component polar gases in the mine. 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 range 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 the correlation coefficient equation. The correlation coefficient equation is: Where R represents the correlation verification, This represents the absorption peak area of ​​the i-th gas sample. Let represent the gas concentration of the i-th gas sample, and n represent the number of samples. This represents the average absorption peak area of ​​all samples. This represents the average gas concentration across all samples. Characteristic absorption peaks are determined from the plurality of absorption peaks based on the correlation coefficient.

7. 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, it implements the steps of the method as described in any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 5.

Images