WO2020186844A1

WO2020186844A1 - Self-adaptive surface absorption spectrum analysis method and system, storage medium, and device

Info

Publication number: WO2020186844A1
Application number: PCT/CN2019/125394
Authority: WO
Inventors: 冯旭东; 赵振英
Original assignee: 谱诉光电科技（苏州）有限公司
Priority date: 2019-03-19
Filing date: 2019-12-13
Publication date: 2020-09-24
Also published as: CN109991181A; CN109991181B

Abstract

A self-adaptive surface absorption spectrum analysis method, comprising the following steps: obtaining spectrum data (S1), extracting a blank spectrum (S2), and analyzing and processing an absorption spectrum (S3). The present invention relates to a self-adaptive surface absorption spectrum analysis system, an electronic device, and a storage medium. A sample surface reflection spectrum diagram only needs to be collected once in the measurement process, and reflected light of a reference object is not required to be collected before measurement as the blank spectrum; due to the fact that a fitting blank spectrum curve comprises a same substrate absorption band in the sample surface absorption spectrum, the analysis method can eliminate a quantitative error caused by absorption and superposition of a substrate. By synchronously extracting the blank spectrum in real time from a sample reflection spectrum, the analysis method can adapt to a change of the distance between a sample and an optical probe and a difference of different sample matrix components, thereby realizing more accurate quantitative analysis of a narrow-band characteristic absorption peak in the sample.

Description

Adaptive surface absorption spectrum analysis method, system, storage medium and equipment

Technical field

The present invention relates to the field of spectrum analysis, in particular to an adaptive surface absorption spectrum analysis method.

Background technique

Surface absorption spectroscopy detection is a non-destructive spectroscopic analysis technology that uses a wide-band light source to illuminate the surface of the sample, detect the reflected light from the surface of the sample, and determine the content of certain characteristic molecular groups in the sample by the absorption of incident light by the surface material. Because it does not need to destroy the sample morphology and structure, and the detection speed is fast, it is widely used in the field of industrial non-destructive testing. In recent years, it has also shown a good momentum of development in the field of medical in vitro non-destructive diagnosis.

The traditional surface absorption spectroscopy analysis method needs to use a sample that does not contain the characteristic substance or characteristic molecular group to be measured as a reference object, measure the surface reflectance spectrum of the reference object as a blank light, and then place the sample in the same relative position to measure its surface reflectance spectrum After dividing by the blank light, it is converted into a reflectance or absorbance curve for qualitative and quantitative analysis. The disadvantage is that the change of the relative position between the sample and the optical probe of the instrument will easily have a greater impact on the measured characteristic peak intensity, and the interference of the absorption band before and after the wavelength position of the characteristic peak cannot be ruled out, making the detection result easy to appear Misjudgment affects the convenience and accuracy of detection.

Summary of the invention

In order to overcome the shortcomings of the prior art, the present invention provides an adaptive surface absorption spectroscopy analysis method. The method uses the characteristics of a wide-band light source with continuous and gentle light intensity bands and slow changes in substrate absorption bands, and avoids potential problems after collecting sample surface reflection spectra. Narrowband absorption peak position, using two light intensity bands at a certain distance before and after the potential narrowband absorption peak position to fit and restore a light intensity curve without narrowband absorption as a blank spectrum, and then divide the sample surface reflectance spectrum curve and the blank spectrum curve Logarithm to obtain the surface absorption spectrum curve of the sample.

The present invention provides an adaptive surface absorption spectrum analysis method, which includes the following steps:

S1. Obtain spectrum data, and obtain reflectance spectrum data of the sample surface; wherein, the reflectance spectrum data includes wavelength and light intensity signal values;

S2. Blank spectrum extraction, selecting part of the spectrum data in the reflection spectrum data, and extracting the currently detected blank spectrum by performing data processing on the part of the spectrum data; wherein the part of the spectrum data does not include potential absorption peak data;

S3. Absorption spectrum analysis processing, performing a logarithmic operation on the quotient of the measured light intensity signal value of the wavelength point and the blank light intensity signal value extracted by using the blank spectrum and inverting the absorbance value of the wavelength point.

Preferably, step S2 further includes the following steps:

S21. Select a spectrum set, and select a section of spectrum bands at the wavelength intervals before and after the potential absorption peak in the reflection spectrum data to form a discrete combined spectrum set;

S22. Organize the residuals of the model, establish an approximation function with the wavelength of the discrete point as the abscissa and the light intensity signal as the ordinate, and the light intensity signal value obtained by the approximation function is the actual measured light intensity signal value corresponding to the same discrete point The function expression of the difference of is recorded as the residual expression;

S23. Establish a best approximation condition equation group, and perform arithmetic conversion on the residual expression according to the best approximation evaluation method to obtain the best approximation condition equation group;

S24. Solve the approximation function, calculate all the coefficient parameters of the approximation function according to the optimal approximation condition equation set, and obtain the approximation function expression from the coefficient parameters of the approximation function.

Preferably, the step S24 is further included:

S25. Blank spectrum fitting. According to the approximation function expression, bring all wavelengths including potential absorption peaks into the approximation function expression to calculate the corresponding light intensity signal value, and combine all the obtained light intensity signal values to obtain the blank spectrum Graph.

Preferably, after step S21, the method further includes:

S211, spectrum set processing, using an algorithm to perform smoothing and noise reduction processing on the spectrum set.

Preferably, the measured light intensity signal value is a value obtained after smoothing and noise reduction processing.

Preferably, step S1 further includes: irradiating the surface of the sample with a wide-band light source, and obtaining the reflection absorption spectrum of the sample surface with a spectrometer, and the intensity of the reflected light on the sample surface is greater than or equal to 5% of the full range of the spectrometer.

An electronic device, including: a processor;

A memory; and a program, wherein the program is stored in the memory and is configured to be executed by a processor, the program including an adaptive surface absorption spectroscopy analysis method.

A computer-readable storage medium has a computer program stored thereon, and the computer program is executed by a processor by an adaptive surface absorption spectrum analysis method.

The self-adaptive surface absorption spectrum analysis system includes a spectrum data acquisition module, an absorption spectrum calculation module and a blank spectrum extraction module; among them,

The acquiring spectrum data module is used to acquire the reflection absorption spectrum of the surface of the sample to obtain reflection spectrum data; wherein the reflection absorption spectrum is a spectrum diagram with wavelength as the abscissa and light intensity signal value as the ordinate;

The blank spectrum extraction module is used to select part of the spectrum data in the reflectance spectrum data, and extract the blank spectrum detected once by performing data processing on the part of the spectrum data; wherein the part of the spectrum data does not include potential absorption peak data ；

The blank spectrum extraction module includes a selection spectrum collection unit, a calculation unit, and a blank spectrum fitting unit; the selection spectrum collection unit is used to select a section of spectrum bands at the wavelength intervals before and after the potential absorption peak in the reflection spectrum data, Forming a discrete combined spectrum set; the calculation unit is used to calculate the discrete combined spectrum set through the establishment function to obtain an approximation function expression;

The absorption spectrum calculation module is used to perform a logarithmic operation on the quotient of the measured light intensity signal value of the wavelength point and the blank light intensity signal value obtained by using the blank spectrum and invert to obtain the absorbance value of the wavelength point.

Preferably, the calculation unit includes a model residual sorting unit, a unit for establishing the optimal approximation condition equation group, and an approximation function solving unit; wherein,

The model residual arranging unit is used to establish an approximation function with the wavelength of a discrete point as the abscissa and the light intensity signal value as the ordinate, and the light intensity signal value obtained by the approximation function corresponds to the actual measured light intensity corresponding to the same discrete point The function expression of the difference obtained from the signal value is recorded as the residual expression;

The unit for establishing the best approximation condition equation group is used to perform arithmetic conversion on the residual expression according to the best approximation evaluation method to obtain the best approximation condition equation group;

The approximation function solving unit is used to calculate all the coefficient parameters of the approximation function according to the optimal approximation condition equation set, and the coefficient parameters of the approximation function obtain the approximation function expression;

The selected spectrum set unit includes a spectrum set processing unit, and the spectrum set processing unit is used to perform smoothing and noise reduction processing on the spectrum set by using an algorithm.

Compared with the prior art, the present invention has the following beneficial effects:

The self-adaptive surface absorption spectrum analysis method only needs to collect the sample surface reflectance spectrum once during the measurement process. It is not necessary to collect the reflected light of the reference object as a blank spectrum before the measurement, because the blank spectrum used in the calculation is reflected from the sample surface The spectrum curve is extracted synchronously and in real time, so this method can eliminate the influence of the relative position change of the sample and the optical probe of the instrument, and adapt to the change of the distance between the sample and the optical probe within a certain range. Since the fitted blank spectrum curve contains the same substrate absorption band as the sample surface absorption spectrum, this method can eliminate the quantitative error caused by the superposition of substrate absorption. By synchronously extracting the blank spectrum from the sample reflection spectrum in real time, this method adapts to the change of the distance between the sample and the optical probe and the difference of the matrix composition of different samples, and achieves a more accurate quantitative analysis of the narrow-band characteristic absorption peaks in the sample.

The above description is only an overview of the technical solution of the present invention. In order to understand the technical means of the present invention more clearly and implement it in accordance with the content of the description, the preferred embodiments of the present invention are described in detail below with the accompanying drawings. The specific implementation of the present invention is given in detail by the following examples and drawings.

Description of the drawings

The drawings described here are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments and descriptions of the present invention are used to explain the present invention, and do not constitute an improper limitation of the present invention. In the attached picture:

Figure 1 is a flowchart of the adaptive surface absorption spectroscopy analysis method of the present invention;

Figure 2 is a specific flow chart of the adaptive surface absorption spectrum analysis method of the present invention;

Figure 3(a) is the three reflectance spectra of the surface layer of a gemstone detected by the traditional analysis method;

Figure 3(b) is the three absorption spectra of the surface layer of a gemstone detected by the traditional analysis method;

Figure 4 (a) is the three reflection spectra of the surface layer of a gemstone detected by the spectral analysis method of the present invention;

Figure 4(b) is the three absorption spectra of the surface layer of a certain gemstone detected by the spectral analysis method of the present invention;

Figure 5 is a schematic diagram of the adaptive surface absorption spectrum analysis system of the present invention;

Reference signs: 10. Blank spectrum obtained by actual measurement using PTFE whiteboard reference material, 201. Blank spectrum extracted by the first synchronization real-time fitting, 202. Blank spectrum extracted by second synchronization real-time fitting, 203 , The third synchronization real-time fitting of the extracted blank spectrum.

detailed description

Hereinafter, the present invention will be further described with reference to the drawings and specific implementations. It should be noted that, provided that there is no conflict, the following embodiments or technical features can be combined to form new embodiments. .

The adaptive surface absorption spectrum analysis method, as shown in Figure 1 and Figure 2, includes the following steps:

S1. Acquire spectral data, and acquire reflectance spectrum data of the sample surface; wherein, the reflectance spectrum data includes wavelength and light intensity signal values; in one embodiment, a broad-band light source is used to illuminate the sample surface, and a spectrometer collects the sample surface Reflective absorption spectrum to obtain a sample surface reflection spectrum including potential absorption peaks with wavelength as the abscissa and light intensity AD as the ordinate, where the light intensity AD value is the signal value output by the light intensity through AD conversion, hereinafter referred to as Light intensity AD value. Illuminate the surface of the sample with a broad-band light source, collect the reflection and absorption spectrum of the sample surface with a spectrometer, and obtain a sample surface reflection spectrum with wavelength as the abscissa and light intensity AD as the ordinate, that is, the surface reflection spectrum in step S21 As shown in the figure, the reflected light intensity of the sample surface can reach more than 5% of the full range of the spectrometer.

It should be noted that in general, collecting the reflectance spectrum of the sample surface requires multiple collections. During the multiple collections, the distance between the sample surface and the optical probe of the spectrometer is not limited. Each collection can change the sample surface and the spectrometer optics. The distance between the probes, because the blank spectrum used in the calculation is synchronously and real-time extracted from the sample surface reflectance spectrum curve, which can eliminate the influence of the relative position change of the sample and the optical probe of the instrument, and it can adapt to the sample and the sample within a certain range. The change in distance between optical probes.

S2. Blank spectrum extraction, selecting part of the spectrum data in the reflection spectrum data, and extracting the currently detected blank spectrum by performing data processing on the part of the spectrum data; wherein, the part of the spectrum data does not include potential absorption peak data; In an embodiment, step S2 further includes the following steps:

S21. Select a spectrum set. In the reflectance spectrum data, select a section of spectrum bands at the wavelength intervals before and after the potential absorption peak to form a discrete combined spectrum set; in this embodiment, by selecting in the surface reflectance spectrum of the sample For the two light intensity bands at a certain distance before and after the potential narrowband absorption peak, the selected spectrum set is located at a certain distance before and after the potential absorption peak to avoid the potential absorption peak.

It should be noted that the potential absorption peak refers to the current target wavelength range for narrowband absorption peak analysis. The reason why it is called potential is mainly because there may or may not be a narrowband absorption peak in this wavelength band.

S22. Organize the residuals of the model, establish an approximation function with the wavelength of the discrete point as the abscissa and the light intensity AD as the ordinate, and the light intensity AD value obtained by the approximation function and the actual measured light intensity AD value corresponding to the same discrete point The function expression of the obtained difference is recorded as the residual expression; in this embodiment, the main work of the model residual sorting is to establish an approximation model function and calculate the residual error of each discrete point in the spectrum set. The model function is A function expression using wavelength as an independent variable to approximate the aforementioned discrete spectral data points, that is, multiple data points with discrete wavelength as the abscissa and light intensity AD as the ordinate, and the wavelength of each discrete point is substituted into the function expression Subtract the measured light intensity AD value corresponding to the wavelength from the formula, where the measured light intensity AD value is the new value after smoothing, the difference obtained is the residual at this point, and the functional expression of the difference is the residual Difference expression. The model function used in the present invention is one of the commonly used Lagrange polynomials, Hermite polynomials, spline functions, Fourier series, etc., and is not limited to a specific function.

S23. Establish a set of optimal approximation condition equations, and perform arithmetic conversion on the residual expression according to the best approximation evaluation method to obtain the optimal approximation condition equation set; in this embodiment, select first when establishing the optimal approximation condition equation set A best approximation evaluation method, and then based on this method, the residual expression is converted into multiple condition equations, which is the best approximation condition equation group. The "best approximation evaluation method" refers to a method of judging the approximation quality of the fitted curve and the original discrete data point by the residual error. The best approximation evaluation method adopted in this embodiment is the absolute sum of the residuals. One of the evaluation methods such as the minimum sum of absolute value or the least square method, that is, the minimum sum of squares residual method, is not limited to a specific evaluation method.

S24. Solve the approximation function, calculate all the coefficient parameters of the approximation function according to the optimal approximation condition equation set, and obtain the approximation function expression from the coefficient parameters of the approximation function; in this embodiment, the solution of the approximation function is obtained by solving the best approximation Condition equations are used to calculate all the coefficient parameters of the approximation function, and the coefficient parameters can be solved to obtain the approximation function expression. In this embodiment, the equations can be solved by iterative method, matrix decomposition method or elimination method , Not limited to a specific solution.

In an embodiment, after step S24, further steps are included:

S25. Blank spectrum fitting. According to the approximation function expression, bring all wavelengths including potential absorption peaks into the approximation function expression to calculate the corresponding light intensity signal value, and combine all the obtained light intensity signal values to obtain the blank spectrum Graph. In this embodiment, the blank spectrum fitting is to calculate the fitted light intensity of all wavelength points through the previously solved best approximation function expression, that is, the wavelength value is substituted into the expression to calculate the corresponding AD value, including the potential peak position That is to say, all wavelength points including the target wavelength band of the current narrowband absorption spectrum peak analysis are calculated, and a new spectrum curve is obtained by fitting. This new spectrum curve is used as a blank spectrum to participate in the subsequent calculation of the absorption spectrum.

S3. Absorption spectrum analysis processing, performing a logarithmic operation on the quotient of the measured light intensity signal value of the wavelength point and the blank light intensity signal value extracted by using the blank spectrum and inverting the absorbance value of the wavelength point. In one embodiment, the measured light intensity AD value of each wavelength point is divided by the fitted blank light intensity AD value of the point, the quotient is logarithmically calculated and then the inverse is multiplied by minus 1 to obtain the absorbance value of the point, The curve formed by wavelength as the abscissa and absorbance as the ordinate is the absorption spectrum.

It should be noted that the calculation method of the absorption spectrum in this embodiment is the same as the traditional analysis method, that is, both the measured light intensity and the blank light intensity are punished and logarithmic calculations. The difference lies in the blank light intensity used in the present invention. It is synchronously extracted from the sample reflectance spectrum curve in real time, and its overall intensity changes synchronously with the reflected light from the sample surface, which can eliminate the interference of positional changes and matrix differences, and obtain a more stable and accurate narrow-band characteristic absorption spectrum, providing qualitative and quantitative Accuracy.

In an embodiment, after step S21, further steps are included:

S211, spectrum set processing, using an algorithm to perform smoothing and noise reduction processing on the spectrum set. In this embodiment, the algorithm used for spectral set smoothing and noise reduction processing can be simple multi-point averaging or complex moving window smoothing. It is not limited to a specific algorithm. The spectral set smoothing noise reduction processing reduces noise Interference is that the measured light intensity AD value is more accurate.

An electronic device, comprising: a processor; a memory; and a program, wherein the program is stored in the memory and is configured to be executed by the processor, and the program includes a method for performing an adaptive surface absorption spectroscopy analysis method . A computer-readable storage medium has a computer program stored thereon, and the computer program is executed by a processor by an adaptive surface absorption spectrum analysis method.

The adaptive surface absorption spectrum analysis system, as shown in Figure 5, includes a spectrum data acquisition module, an absorption spectrum calculation module and a blank spectrum extraction module; among them,

The blank spectrum extraction module is used to select part of the spectrum data in the reflectance spectrum data, and extract the blank spectrum detected once by performing data processing on the part of the spectrum data; wherein, the part of the spectrum data does not include potential absorption peak data ；

Further, the calculation unit includes a model residual sorting unit, a unit for establishing the optimal approximation condition equation group, and an approximation function solving unit; wherein,

The following is a comparison of the detection results of the adaptive surface absorption spectrum analysis method of the present invention and the traditional analysis method as shown in Figure 3 (a), Figure 3 (b), Figure 4 (a), and Figure 4 (b). The optical probe of the spectrometer is aligned with a certain component structure and its stable gem surface to collect the surface reflection spectrum, and the relative distance between the optical probe of the instrument and the gem surface is gradually increased to obtain the curve shown in Figure 3 (a) and Figure 4 (a) 3 surface reflectance spectra with decreasing light intensity.

Figure 3(a) and Figure 3(b) are the analysis results of the traditional analysis method. The thicker smooth curve 10 in Figure 3(a) is the blank spectrum measured by using the PTFE whiteboard reference material. The surface absorption spectrum analysis of the reflection spectrum of the gemstone in the second detection uses the gray spectrum as the blank spectrum. After triggering and logarithmic operation, three absorption spectrum curves as shown in Figure 3(b) are obtained. The increase in the relative distance between the sample and the optical probe, that is, the decrease in the intensity of the reflection spectrum, the absorbance curve gradually drifts upward. The peak absorbances of the three narrow-band absorption peaks are 0.049, 0.107, and 0.204, respectively, and the peak absorbance values are very different; 3 absorptions The peak-to-valley difference in absorbance of the narrow-band characteristic absorption peak in the spectrum is 0.050, 0.053, and 0.057, respectively. Even if the intensity of the narrow-band characteristic absorption peak is calculated according to the peak-to-valley difference, the average error of the three measurements is greater than 6.8%.

Figure 4 (a) and Figure 4 (b) are the analysis results of the analysis method of the present invention. The three thicker

smooth curves

201, 202 and 203 in Figure 4 (a) are synchronized in real time from three gem reflection spectra. Fit the extracted 3 blank spectra, use the reflectance spectra detected three times and the blank spectra extracted simultaneously in real time to calculate the absorbance, and obtain the 3 absorption spectrum curves shown in Figure 4(b), which can be seen from the figure The three absorption spectrum curves are highly coincident, and their peak absorbances are 0.064, 0.063, and 0.061, respectively, and the average error of the three measurements is less than 2.7%. Compared with Figure 4, this method can eliminate the interference of positional distance changes and matrix differences, and get more Stable and accurate narrow-band characteristic absorption spectrum improves qualitative and quantitative accuracy. The method of the present invention only needs to collect the surface reflectance spectrum of the sample once during the measurement process, and it is not necessary to collect the reflected light of the reference object as the blank spectrum before the measurement, because the blank spectrum used in the calculation is from the surface reflectance curve of the sample Synchronous real-time extraction, so the method of the present invention can eliminate the influence of the relative position change of the sample and the optical probe of the instrument, and adapt to the change of the distance between the sample and the optical probe within a certain range. Since the fitted blank spectrum curve contains the same substrate absorption band as in the sample surface absorption spectrum, the method of the present invention can eliminate the quantitative error caused by the superposition of substrate absorption. By synchronously extracting the blank spectrum from the sample reflection spectrum in real time, the method of the present invention adapts to the change of the distance between the sample and the optical probe and the difference of the matrix composition of different samples, and realizes more accurate quantification of the narrow-band characteristic absorption peaks in the sample. analysis.

The above are only the preferred embodiments of the present invention, and do not limit the present invention in any form; any person of ordinary skill in the industry can smoothly implement the present invention as shown in the drawings and above in the specification; however, wherever Those skilled in the art make use of the technical content disclosed above to make minor changes, modifications, and equivalent changes within the scope of the technical solution of the present invention, all of which are equivalent embodiments of the present invention; meanwhile, Any changes, modifications, and evolutions of any equivalent changes made to the above embodiments based on the essential technology of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

The adaptive surface absorption spectrum analysis method is characterized in that it comprises the following steps:

S1. Obtain spectrum data, and obtain reflectance spectrum data of the sample surface; wherein, the reflectance spectrum data includes wavelength and light intensity signal values;

S2. Blank spectrum extraction, selecting part of the spectrum data in the reflection spectrum data, and extracting the currently detected blank spectrum by performing data processing on the part of the spectrum data; wherein the part of the spectrum data does not include potential absorption peak data;

S3. Absorption spectrum analysis processing, performing a logarithmic operation on the quotient of the measured light intensity signal value of the wavelength point and the blank light intensity signal value extracted by using the blank spectrum and inverting the absorbance value of the wavelength point.
The adaptive surface absorption spectroscopy analysis method of claim 1, wherein step S2 further comprises the following steps:

S21. Select a spectrum set, and select a section of spectrum bands at the wavelength intervals before and after the potential absorption peak in the reflection spectrum data to form a discrete combined spectrum set;

S22. Organize the residuals of the model, establish an approximation function with the wavelength of the discrete point as the abscissa and the light intensity signal as the ordinate, and the light intensity signal value obtained by the approximation function is the actual measured light intensity signal value corresponding to the same discrete point The function expression of the difference of is recorded as the residual expression;

S23. Establish a best approximation condition equation group, and perform arithmetic conversion on the residual expression according to the best approximation evaluation method to obtain the best approximation condition equation group;

S24. Solve the approximation function, calculate all the coefficient parameters of the approximation function according to the optimal approximation condition equation set, and obtain the approximation function expression from the coefficient parameters of the approximation function.
3. The adaptive surface absorption spectroscopy analysis method of claim 2, wherein after step S24, the method further comprises:

S25. Blank spectrum fitting. According to the approximation function expression, bring all wavelengths including potential absorption peaks into the approximation function expression to calculate the corresponding light intensity signal value, and combine all the obtained light intensity signal values to obtain the blank spectrum Graph.
The adaptive surface absorption spectroscopy analysis method according to claim 2, wherein after step S21, the method further comprises:

S211, spectrum set processing, using an algorithm to perform smoothing and noise reduction processing on the spectrum set.
The adaptive surface absorption spectroscopy analysis method according to any one of claims 1 to 4, wherein the measured light intensity signal value is a value obtained after smoothing and noise reduction processing.
The self-adaptive surface absorption spectroscopy analysis method of claim 1, wherein step S1 further comprises: irradiating the surface of the sample with a broad-band light source, using a spectrometer to obtain the reflection absorption spectrum of the sample surface, and the reflection of the sample surface The intensity of the light is greater than or equal to 5% of the full scale of the spectrometer.
An electronic device, characterized by comprising: a processor;

A memory; and a program, wherein the program is stored in the memory and is configured to be executed by a processor, and the program includes a method for performing the method according to claim 1.
A computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to execute the method according to claim 1.
The self-adaptive surface absorption spectrum analysis system is characterized by comprising a spectrum data acquisition module, an absorption spectrum calculation module and a blank spectrum extraction module; among them,

The acquiring spectrum data module is used to acquire the reflection absorption spectrum of the surface of the sample to obtain reflection spectrum data; wherein the reflection absorption spectrum is a spectrum diagram with wavelength as the abscissa and light intensity signal value as the ordinate;

The blank spectrum extraction module is used to select part of the spectrum data in the reflectance spectrum data, and extract the blank spectrum detected once by performing data processing on the part of the spectrum data; wherein the part of the spectrum data does not include potential absorption peak data ；

The blank spectrum extraction module includes a selection spectrum collection unit, a calculation unit, and a blank spectrum fitting unit; the selection spectrum collection unit is used to select a section of spectrum bands at the wavelength intervals before and after the potential absorption peak in the reflection spectrum data, Forming a discrete combined spectrum set; the calculation unit is used to calculate the discrete combined spectrum set through the establishment function to obtain an approximation function expression;

The absorption spectrum calculation module is used to perform a logarithmic operation on the quotient of the measured light intensity signal value of the wavelength point and the blank light intensity signal value obtained by using the blank spectrum and invert to obtain the absorbance value of the wavelength point.
The adaptive surface absorption spectrum analysis system according to claim 9, wherein the calculation unit includes a model residual sorting unit, a unit for establishing an optimal approximation condition equation group, and an approximation function solving unit; wherein,

The model residual arranging unit is used to establish an approximation function with the wavelength of a discrete point as the abscissa and the light intensity signal value as the ordinate, and the light intensity signal value obtained by the approximation function corresponds to the actual measured light intensity corresponding to the same discrete point The function expression of the difference obtained from the signal value is recorded as the residual expression;

The unit for establishing the best approximation condition equation group is used to perform arithmetic conversion on the residual expression according to the best approximation evaluation method to obtain the best approximation condition equation group;

The approximation function solving unit is used to calculate all the coefficient parameters of the approximation function according to the optimal approximation condition equation set, and the coefficient parameters of the approximation function obtain the approximation function expression;

The selected spectrum set unit includes a spectrum set processing unit, and the spectrum set processing unit is used to perform smoothing and noise reduction processing on the spectrum set by using an algorithm.