CN112710638A - Method for rapidly detecting coal quality based on photoluminescence spectrum comprehensive analysis - Google Patents
Method for rapidly detecting coal quality based on photoluminescence spectrum comprehensive analysis Download PDFInfo
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Abstract
The invention provides a method for rapidly detecting coal quality based on photoluminescence spectrum comprehensive analysis, which is characterized by comprising the following steps: step I, carrying out photoluminescence spectrum detection on the coal, determining a photoluminescence spectrum characteristic peak of the coal according to a detection result, and then carrying out peak separation analysis and fitting calculation to obtain photoluminescence spectrum characteristic parameters related to the coal quality; II, selecting standard coal samples with different coal qualities, and respectively obtaining corresponding photoluminescence spectrum characteristic parameters according to the method described in the step I; carrying out industrial analysis and calorific value detection on the coal sample to obtain characteristic parameters and calorific value of coal quality components; establishing a mapping relation between photoluminescence spectrum characteristic parameters and coal quality component characteristic parameters and heating values; and III, obtaining the photoluminescence spectrum characteristic parameters of the coal to be detected, substituting the photoluminescence spectrum characteristic parameters into the mapping relation between the photoluminescence spectrum characteristic parameters and the coal quality component characteristic parameters and the heat productivity established in the step II, and calculating to obtain the coal quality component characteristic parameters and the heat productivity of the coal to be detected.
Description
Technical Field
The invention belongs to the field of coal quality detection, and particularly relates to a method for rapidly detecting coal quality based on photoluminescence spectrum comprehensive analysis.
Background
Coal is a main primary energy source in China, the consumption of Chinese coal in 2019 accounts for 57.7% of the total energy consumption of China, and the coal still occupies the main position of energy consumption of China in the foreseeable future, so that the coal has important strategic significance on the comprehensive sustainable development of economy of China. Therefore, the clean and efficient utilization of coal is of great importance to national economy, and the intelligent production of coal is one of effective ways for the efficient utilization of coal. In the intelligent production process of coal, the on-line accurate monitoring of raw coal is a key step.
At present, the widely used coal quality detection method in China is industrial analysis and element analysis, and can obtain comprehensive and reliable coal quality component data, but the industrial analysis and the element analysis are carried out in a laboratory according to national standards, the process is complex, the requirement on sample preparation is high, and the test period is high.
In recent years, raman spectroscopy is increasingly applied to structural detection of coal and coal char as an efficient and nondestructive detection technique, and is being used for on-line analysis of coal. However, when raman spectroscopy is performed on a coal sample, laser light not only excites raman scattering light, but also enables electrons in a valence band in the coal to jump to a conduction band and leave holes in the valence band, the electrons and the holes reach the respective unoccupied lowest excited states in the conduction band and the valence band through relaxation to become quasi-equilibrium states, and the electrons and the holes in the quasi-equilibrium states generate fluorescence (photoluminescence) through composite luminescence. Therefore, the actual spectrogram is the superposition of the Raman spectrum and the fluorescence spectrum, which interferes with the analysis of the Raman spectrum, brings difficulty to the quantitative analysis of the Raman spectrum and makes the specific structure of the coal difficult to reveal.
Disclosure of Invention
The invention is carried out to solve the problems of the Raman spectrum detection, and aims to provide a method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum.
In order to achieve the purpose, the invention adopts the following scheme:
the invention provides a method for rapidly detecting coal quality based on photoluminescence spectrum comprehensive analysis, which is characterized by comprising the following steps of:
step I, photoluminescence information acquisition: carrying out photoluminescence spectrum detection on the coal, determining a photoluminescence spectrum characteristic peak of the coal according to a detection result, and then carrying out peak separation analysis and fitting calculation to obtain photoluminescence spectrum characteristic parameters related to the coal quality;
step II, selecting standard coal samples with different coal qualities to respectively obtain corresponding photoluminescence spectrum characteristic parameters according to the photoluminescence information obtaining method described in the step I; carrying out industrial analysis and calorific value detection on a standard coal sample to obtain coal quality component characteristic parameters and calorific value; establishing a mapping relation between photoluminescence spectrum characteristic parameters and coal quality component characteristic parameters and heating values;
step III, acquiring photoluminescence spectrum characteristic parameters of the coal to be detected according to the photoluminescence information acquisition method described in the step I; then, substituting the photoluminescence spectral characteristic parameters of the coal to be measured into the mapping relation of the photoluminescence spectral characteristic parameters, the coal quality component characteristic parameters and the calorific value established in the step II, calculating to obtain the coal quality component characteristic parameters and the calorific value of the coal to be measured,
wherein, the step I and the step II are not in sequence, and the step I and the step III are not in sequence.
Preferably, the method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum provided by the invention can also have the following characteristics: the coal quality component characteristic parameter is at least one of the moisture content, the volatile component content, the ash content, the fixed carbon content, the hydrogen content, the ignition temperature, the maximum reaction rate temperature and the burnout temperature of the coal.
Preferably, the method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum provided by the invention can also have the following characteristics: in the step I, the incident light wavelength of a laser used for the photoluminescence spectrum detection of the coal is 485nm, 532nm or 633nm, and the collection wavelength range of the spectrogram is 560-850 nm.
Preferably, the method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum provided by the invention can also have the following characteristics: in step I, the characteristic peak of the photoluminescence spectrum of the coal comprises P1、P2、P3、P4、P5、P6、P7The corresponding wavelengths at the wave crest are 573 +/-2 nm, 582 +/-2 nm, 596 +/-2 nm, 627 +/-2 nm, 640 +/-2 nm, 687 +/-2 nm and 745 +/-2 nm in sequence.
Preferably, the method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum provided by the invention can also have the following characteristics: in step I, P is fit to the calculation1、P3、P4、P5、P6、P7Is a Gaussian curve, P2Lorentzian curves were used.
Preferably, the method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum provided by the invention can also have the following characteristics: in step I, the obtained photoluminescence spectral characteristic parameters include: total area of spectrum SALLPeak P3、P4、P5、P6、P7Area and S3～7And peak P1、P2Area and S1～2Ratio K ofSPeak P1、P2、P4、P6Half peak width P of1’、P2’、P4’、P6’。
Preferably, the method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum provided by the invention can also have the following characteristics: in step II, photoluminescence spectrum characteristic parameters and volatile component content VdafThe mapping relationship between the two is as follows:
Vdaf＝a1*F1 3+b1*F1 2+c1*F1+d1*KS 3+e1*KS 2+f1*KS+g1*SALL 3+h1*SALL 2+i1*SALL+j1；
in the formula, F1Is a main component factor, F1＝0.261*P1’+0.273*P2’+0.26*P4’+0.266*P6’；a1、b1、c1、d1、e1、f1、g1、h1、i1、j1Are all coefficients.
Preferably, the method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum provided by the invention can also have the following characteristics: in step II, the mapping relationship between the photoluminescence spectrum characteristic parameter and the calorific value Q representing the calorific value of the coal is as follows:
Q＝a2*SALL 3+b2*SALL 2+c2*SALL+d2*KS+e2*F1 3+f2*F1 2+g2*F1+h2；
in the formula, F1Is a main component factor, F1＝0.261*P1’+0.273*P2’+0.26*P4’+0.266*P6’；a2、b2、c2、d2、e2、f2、g2、h2Are all coefficients.
Preferably, the method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum provided by the invention can also have the following characteristics: in the step II, the selected standard coal samples are standard coals with different coal grades and different volatile contents.
Further, the invention also provides another method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum, which is characterized by comprising the following steps of:
step 1, carrying out photoluminescence spectrum detection on coal to be detected;
step 2, determining the characteristic peak of the photoluminescence spectrum of the coal according to the detection result of the photoluminescence spectrum, and then carrying out peak splitting analysis and fitting calculation to obtain the characteristic parameter of the photoluminescence spectrum related to the coal quality; the characteristic peak of photoluminescence spectrum of coal comprises P1、P2、P3、P4、P5、P6、P7The corresponding wavelengths at the wave crest are 573 +/-2 nm, 582 +/-2 nm, 596 +/-2 nm, 627 +/-2 nm, 640 +/-2 nm, 687 +/-2 nm and 745 +/-2 nm in sequence; the obtained photoluminescence spectral characteristic parameters comprise: total area of spectrum SALLPeak P3、P4、P5、P6、P7Area and S3～7And peak P1、P2Area and S1～2Ratio K ofSPeak P1、P2、P4、P6Half peak width P of1’、P2’、P4’、P6’；
And 3, substituting the photoluminescence spectrum characteristic parameters of the coal to be detected obtained in the step 2 into the following formula, and calculating to obtain the volatile component content V of the coal to be detecteddafAnd a calorific value Q representing the calorific value of coal:
Vdaf＝a1*F1 3+b1*F1 2+c1*F1+d1*KS 3+e1*KS 2+f1*KS+g1*SALL 3+h1*SALL 2+i1*SALL+j1；
Q＝a2*SALL 3+b2*SALL 2+c2*SALL+d2*KS+e2*F1 3+f2*F1 2+g2*F1+h2；
in the formula, F1Is a main component factor, F1＝0.261*P1’+0.273*P2’+0.26*P4’+0.266*P6’；a1、b1、c1、d1、e1、f1、g1、h1、i1、j1、a2、b2、c2、d2、e2、f2、g2、h2Are all coefficients.
Preferably, the method for rapidly detecting the coal quality provided by the invention can also have the following characteristics: a is1、b1、c1、d1、e1、f1、g1、h1、i1、j1The values of the compounds are sequentially-0.17, -0.052, 0.609, 0.019, -0.451, -0.136, 0.211, 0.068, 0.354 and 0.142; a is2、b2、c2、d2、e2、f2、g2、h2The values of (A) are sequentially-0.069, 0.144, 0.45, -1.336, 0.162, -0.015, -0.211 and-0.076.
Action and Effect of the invention
The method comprises the steps of selecting standard coal samples of different coal qualities to carry out photoluminescence spectrum detection respectively, obtaining corresponding photoluminescence spectrum characteristic parameters, carrying out industrial analysis and calorific value detection on the standard coal samples, obtaining coal quality component characteristic parameters and calorific value of coal, establishing mapping relations between the photoluminescence spectrum characteristic parameters and the coal quality component characteristic parameters and the calorific value respectively, substituting the photoluminescence spectrum characteristic parameters of the coal to be detected into the mapping relations between the photoluminescence spectrum characteristic parameters and the coal quality component characteristic parameters and the calorific value, and calculating to obtain the coal quality component characteristic parameters and the calorific value of the coal to be detected so as to obtain coal quality information. The invention adopts photoluminescence detection, so that the problem of spectral interference generated by Raman detection can be effectively avoided, accurate spectral data can be obtained, more accurate calculation results can be obtained, and accurate detection of coal quality information can be realized. In addition, the comprehensive analysis method for the seven-peak of the photoluminescence spectrum provided by the invention is simple, peak separation analysis and fitting calculation can be carried out by using a computer, a plurality of characteristic parameters of the photoluminescence spectrum can be rapidly obtained, and more detailed chemical structure information of a sample is revealed.
In conclusion, the characteristic parameters of the photoluminescence spectrum are utilized to directly calculate and obtain the characteristic parameters of the coal quality components and the heat productivity of the coal to be detected, so that the characteristic parameters of the coal quality components and the heat productivity of the coal to be detected can be rapidly and accurately obtained.
Drawings
FIG. 1 is a photoluminescence spectrum of a coal sample according to an example of the present invention;
FIG. 2 is a seven-peak resolution chart of a photoluminescence spectrum of a coal sample according to an embodiment of the present invention.
Detailed Description
The principle and method of the present invention for rapid coal quality detection based on photoluminescence spectrum full-scale analysis are explained in detail below with reference to the accompanying drawings.
Photoluminescence is a process in which, when laser light is irradiated on a surface of a substance, absorbed energy of electrons in a ground state in the substance transits to a high energy level, an excited state is unstable, and the electrons return to the ground state, and release the absorbed energy to emit visible light. Whether a substance can emit light after absorbing laser light depends on the molecular structure of the substance to a large extent, so that photoluminescence spectra can represent structural information on the molecular level of the substance and can be used for analyzing the structure of the substance. That is, the photoluminescence technique is that an excited substance emits light by itself; the existing raman technology mentioned in the background art is the scattering of light by a substance, but certain photoluminescence can be generated during raman detection, so that the raman detection can be interfered; moreover, the Raman waveband range is narrow, the signal is weak, and the light-induced signal is stronger, and the waveband is wider. Therefore, the photoluminescence technology is independently adopted, so that the interference problem can be avoided, and the spectrum information with stronger signals can be obtained, thereby being more favorable for the accurate detection of the coal quality.
Based on the above principle, the present invention proposes the technical solutions described in the above summary. The method for rapidly detecting the coal quality by adopting the technical scheme of the invention is explained in detail by specific examples.
< example >
The method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum provided by the embodiment comprises the following steps:
step I, establishment of a complete analysis method for seven peak peaks of photoluminescence spectra of coal: (1) carrying out photoluminescence spectrum detection on the coal sample to obtain a photoluminescence spectrum of the coal; (2) performing baseline correction on the photoluminescence spectrum by adopting a two-point straight line method; (3) determining a characteristic peak based on the corrected photoluminescence spectrum; (4) carrying out peak separation analysis; (5) performing peak-splitting fitting calculation; (6) and obtaining key photoluminescence spectrum characteristic parameters.
In this example, the peaks used for peak separation analysis of the seven peaks of the photoluminescence spectrum of coal include: p1、P2、P3、P4、P5、P6、P7(wherein P is1、P2、P3、P4、P5、P6、P7The corresponding wavelengths at the wave crest are 573 + -2 nm, 582 + -2 nm, 596 + -2 nm, 627 + -2 nm, 640 + -2 nm, 687 + -2 nm and 745 + -2 nm respectively), and P is calculated during fitting1、P3、P4、P5、P6、P7Is a Gaussian curve, P2Lorentzian curves were used.
In this embodiment, the obtained photoluminescence spectral characteristic parameters include: total area of spectrum SALLPeak P3、P4、P5、P6、P7Area sum and peak P1、P2Area to area ratio KSPeak P after peak separation1、P2、P4、P6Half peak width P of1’、P2’、P4’、P6’。
Step II, building a rapid coal quality evaluation mathematical model based on photoluminescence spectrum comprehensive analysis: (1) selecting standard coals with different coal grades and different volatile contents as standard coal samples; (2) carrying out photoluminescence spectrum test, industrial analysis and heat productivity detection on each standard coal sample to obtain photoluminescence spectrum and volatile component content V of corresponding coal sampledafHeating value information; (3) establishing photoluminescence spectral characteristic parameters and VdafAnd mathematical mapping of the thermal value.
In the embodiment, the adopted industrial analysis and heat value measurement respectively refer to national standards GB/T212-2008 and GB/T213-2008; the industrial analysis standard adopts a dry ashless base to obtain a volatile component Vdaf(ii) a The obtained heating value information is a lower heating value Q.
In this embodiment, the photoluminescence spectral characteristic parameter and VdafThe mapping relationship between the two is as follows:
Vdaf＝a1*F1 3+b1*F1 2+c1*F1+d1*KS 3+e1*KS 2+f1*KS+g1*SALL 3+h1*SALL 2+i1*SALL+j1；
the mapping relation between the photoluminescence spectrum characteristic parameter and the heat value Q is as follows:
Q＝a2*SALL 3+b2*SALL 2+c2*SALL+d2*KS+e2*F1 3+f2*F1 2+g2*F1+h2；
in the formula, F1Is a main component factor, F1＝0.261*P1’+0.273*P2’+0.26*P4’+0.266*P6’；a1、b1、c1、d1、e1、f1、g1、h1、i1、j1、a2、b2、c2、d2、e2、f2、g2、h2Are all coefficients.
Step III, performing comprehensive analysis on the coal quality rapid detection based on photoluminescence spectrum: (1) carrying out photoluminescence spectrum detection on the coal to be detected; (2) acquiring photoluminescence spectrum characteristic parameters related to the coal quality according to the photoluminescence spectrum detection result; (3) substituting the obtained photoluminescence spectrum characteristic parameters into the mapping relation established in the step II, and calculating to obtain the V of the coal to be measureddafAnd heat generation.
The method is applied to specific coal samples for detection:
1) selecting 50 standard coal samples with the labels of 1-50, and respectively carrying out industrial analysis to obtain the volatile component content V of the coaldaf. The following description will be given only by taking typical 15 standard coal samples, V of which isdafThe data are shown in table 1 below:
TABLE 1 volatile content V of standard coal samplesdaf
2) And respectively carrying out photoluminescence spectroscopy on 50 standard coal samples, wherein the laser wavelength is 532nm, the laser power is 5mw, the scanning time is 8s, and the scanning range is 560-850 nm.
As shown in fig. 1, a photoluminescence spectrum of the obtained coal sample; as shown in FIG. 2, the photoluminescence spectrum was analyzed in a full-scale manner by seven peak-splitting.
3) Obtaining spectral characteristic parameters according to the analytic graph after the peak separation of 50 samplesIncluding the total area (S) of the spectrumALL) Peak P of3、P4、P5、P6、P7Area sum and peak P1、P2Area to area ratio (K)S) Seven peak resolution post peak P1、P2、P4、P6Half peak width P of1’、P2’、P4’、P6', wherein the 15 coal data results are as follows in Table 2:
TABLE 2 Spectrum analysis information of Standard coal samples
4) According to the spectral characteristic parameter table, the variable P is set1’、P2’、P4’、P6' conducting principal component analysis to obtain principal component factor F1(wherein F1＝0.261*P1’+0.273*P2’+0.26*P4’+0.266*P6'), the principal component factors for the 15 samples are summarized in Table 3 below:
TABLE 3 principal Components factor F of Standard coal samples1
5) All spectral characteristic parameters of the 15 samples are summarized in table 4 below:
tables 4 and VdafSpectral characteristic parameter of corresponding standard coal sample
Due to dependent variable VdafIndependent variable SALL、KS、F1Are different in magnitudeLarger, the independent and dependent variables are normalized first to eliminate errors due to differences in the data magnitudes. The normalized values Z are (actual value-data mean)/(data standard deviation), the mean and standard deviation of the four variables are shown in table 5 below, and the normalized values of the four variables are shown in table 6 below:
TABLE 5V of fifty samplesdaf、SALL、KSAnd F1Mean and standard deviation of
Tables 6 and VdafCorresponding normalized spectral characteristic parameter values
Establishing a normalized dependent variable VdafIndependent variable SALL、KS、F1The mapping relationship between them, V in this embodimentdaf＝-0.17*F1 3-0.052*F1 2+0.609*F1+0.019*KS 3-0.451*KS 2-0.136*KS+0.211*SALL 3+0.068*SALL 2+0.354*SALL+0.142。
Calculating to obtain ZV according to a fitting formuladafConvert it to the calculation VdafIn order to further improve the accuracy of the mapping model, the number of the tested coal samples can be enlarged.
6) Measuring the calorific value of the coal sample with the number of 1-35, and extracting the main component factor F of the spectral characteristic parameter of the sample in the same common factor extraction mode1Wherein the information for the 15 coal samples is summarized in table 7 below:
TABLE 7 spectral characteristic parameters of standard coal samples corresponding to Q
Establishing dependent variable heat value Q and independent variable SALL、KS、F1Due to the dependent variable VdafIndependent variable SALL、KS、F1The order of magnitude difference between the independent variable and the dependent variable is large, so that the independent variable and the dependent variable are firstly normalized to eliminate errors caused by the order of magnitude difference of the data. The normalized values Z are (actual value-data mean)/(data standard deviation), the mean and standard deviation of the four variables are shown in table 8 below, and the normalized values of the four variables are shown in table 9 below:
table 8Q, S of fifty samplesALL、KSAnd F1Mean and standard deviation of
TABLE 9 normalized spectral feature parameter values corresponding to Q
Establishing a normalized dependent variable Q and an independent variable SALL、KS、F1The mapping relationship between Q ═ 0.069 × S in this exampleALL 3+0.144*SALL 2+0.45*SALL-1.336*KS+0.162*F1 3-0.015*F1 2-0.211*F1-0.076；
ZQ is obtained through calculation according to a fitting formula and is converted into calculation Q, and in order to further improve the accuracy of the mapping relation, the mapping model can be optimized by enlarging the number of the tested coal samples.
7) Taking a coal sample to be detected, obtaining the volatile content, the heat value and the photoluminescence spectrum characteristic parameters of the coal sample to be detected and obtaining main component factors by using the same detection mode and standard as the standard coal sample, and summarizing the following table 10:
TABLE 10 coal sample information to be tested
Will SALL、KS、F1Normalized data input mapping model Vdaf＝-0.17*F1 3-0.052*F1 2+0.609*F1+0.019*KS 3-0.451*KS 2-0.136*KS+0.211*SALL 3+0.068*SALL 2+0.354*SALL+0.142, normalized V of outputdafThe value of 0.1359, the calculated value is 33.957, the error percentage from the true value is only 3.75%, and the calculation V of the mapping model is proveddafThe accuracy of the values.
Will SALL、KS、F1Normalized data input mapping model Q-0.069 × SALL 3+0.144*SALL 2+0.45*SALL-1.336*KS+0.162*F1 3-0.015*F1 2-0.211*F1In-0.076, the output normalized Q value is 0.7763, the calculated Q value is 6072.26(cal/g), and the error percentage from the true value is only 3.5%, thus confirming the accuracy of the mapping model in calculating the Q value.
The above is merely an illustration of the technical solution of the present invention. The method for rapidly detecting the coal quality based on the photoluminescence spectrum comprehensive analysis is not limited to the structure described in the above, but is subject to the scope defined by the claims. Any modification or supplement or equivalent replacement made by the person skilled in the art on the basis of the present invention is within the scope of the claims of the present invention.
Claims (10)
1. A method for rapidly detecting coal quality based on photoluminescence spectrum comprehensive analysis is characterized by comprising the following steps:
step I, photoluminescence information acquisition: carrying out photoluminescence spectrum detection on the coal, determining a photoluminescence spectrum characteristic peak of the coal according to a detection result, and then carrying out peak separation analysis and fitting calculation to obtain photoluminescence spectrum characteristic parameters related to the coal quality;
step II, selecting standard coal samples with different coal qualities to respectively obtain corresponding photoluminescence spectrum characteristic parameters according to the photoluminescence information obtaining method described in the step I; carrying out industrial analysis and calorific value detection on the standard coal sample to obtain characteristic parameters and calorific value of coal quality components; establishing a mapping relation between photoluminescence spectrum characteristic parameters and coal quality component characteristic parameters and heating values;
step III, acquiring photoluminescence spectrum characteristic parameters of the coal to be detected according to the photoluminescence information acquisition method described in the step I; then, substituting the photoluminescence spectral characteristic parameters of the coal to be measured into the mapping relation of the photoluminescence spectral characteristic parameters, the coal quality component characteristic parameters and the calorific value established in the step II, calculating to obtain the coal quality component characteristic parameters and the calorific value of the coal to be measured,
wherein, the step I and the step II are not in sequence, and the step I and the step III are not in sequence.
2. The method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum as claimed in claim 1, is characterized in that:
wherein the characteristic parameters of the coal quality components are at least one of the moisture content, the volatile content, the ash content, the fixed carbon content, the hydrogen content, the ignition temperature, the maximum reaction rate temperature and the burnout temperature of the coal.
3. The method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum as claimed in claim 1, is characterized in that:
in the step I, incident light wavelength of a laser used for detecting the photoluminescence spectrum of the coal is 485nm, 532nm or 633nm, and the collection wavelength range of the spectrogram is 560-850 nm.
4. The method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum as claimed in claim 1, is characterized in that:
wherein, in the step I, the characteristic peak of the photoluminescence spectrum of the coal comprises P1、P2、P3、P4、P5、P6、P7The corresponding wavelengths at the wave crest are 573 +/-2 nm, 582 +/-2 nm, 596 +/-2 nm, 627 +/-2 nm, 640 +/-2 nm, 687 +/-2 nm and 745 +/-2 nm in sequence; fitting calculation time P1、P3、P4、P5、P6、P7Is a Gaussian curve, P2Lorentzian curves were used.
5. The method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum as claimed in claim 1, is characterized in that:
in step I, the obtained photoluminescence spectral characteristic parameters include: total area of spectrum SALLPeak P3、P4、P5、P6、P7Area and S3～7And peak P1、P2Area and S1～2Ratio K ofSPeak P1、P2、P4、P6Half peak width P of1’、P2’、P4’、P6’。
6. The method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum as claimed in claim 5, is characterized in that:
wherein, in the step II, the photoluminescence spectral characteristic parameter and the volatile component content VdafThe mapping relationship between the two is as follows:
Vdaf＝a1*F1 3+b1*F1 2+c1*F1+d1*KS 3+e1*KS 2+f1*KS+g1*SALL 3+h1*SALL 2+i1*SALL+j1；
in the formula, F1Is a main component factor, F1＝0.261*P1’+0.273*P2’+0.26*P4’+0.266*P6’；a1、b1、c1、d1、e1、f1、g1、h1、i1、j1Are all coefficients.
7. The method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum as claimed in claim 5, is characterized in that:
in step II, the mapping relationship between the photoluminescence spectral characteristic parameter and the calorific value Q representing the calorific value of the coal is as follows:
Q＝a2*SALL 3+b2*SALL 2+c2*SALL+d2*KS+e2*F1 3+f2*F1 2+g2*F1+h2；
in the formula, F1Is a main component factor, F1＝0.261*P1’+0.273*P2’+0.26*P4’+0.266*P6’；a2、b2、c2、d2、e2、f2、g2、h2Are all coefficients.
8. The method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum as claimed in claim 1, is characterized in that:
and in the step II, the selected standard coal samples are standard coals with different coal grades and different volatile contents.
9. A method for rapidly detecting coal quality based on photoluminescence spectrum comprehensive analysis is characterized by comprising the following steps:
step 1, carrying out photoluminescence spectrum detection on coal to be detected;
step 2, determining the characteristic peak of the photoluminescence spectrum of the coal according to the detection result of the photoluminescence spectrum, and then carrying out peak splitting analysis and fitting calculation to obtain the characteristic parameter of the photoluminescence spectrum related to the coal quality; the characteristic peak of photoluminescence spectrum of coal comprises P1、P2、P3、P4、P5、P6、P7The corresponding wavelengths at the wave crest are 573 +/-2 nm, 582 +/-2 nm, 596 +/-2 nm, 627 +/-2 nm, 640 +/-2 nm, 687 +/-2 nm and 745 +/-2 nm in sequence; the obtained photoluminescence spectral characteristic parameters comprise: total area of spectrum SALLPeak P3、P4、P5、P6、P7Area and S3～7And peak P1、P2Area and S1～2Ratio K ofSPeak P1、P2、P4、P6Half peak width P of1’、P2’、P4’、P6’；
And 3, substituting the photoluminescence spectrum characteristic parameters of the coal to be detected obtained in the step 2 into the following formula, and calculating to obtain the volatile component content V of the coal to be detecteddafAnd a calorific value Q representing the calorific value of coal:
Vdaf＝a1*F1 3+b1*F1 2+c1*F1+d1*KS 3+e1*KS 2+f1*KS+g1*SALL 3+h1*SALL 2+i1*SALL+j1；
Q＝a2*SALL 3+b2*SALL 2+c2*SALL+d2*KS+e2*F1 3+f2*F1 2+g2*F1+h2；
in the formula, F1Is a main component factor, F1＝0.261*P1’+0.273*P2’+0.26*P4’+0.266*P6’；a1、b1、c1、d1、e1、f1、g1、h1、i1、j1、a2、b2、c2、d2、e2、f2、g2、h2Are all coefficients.
10. The method for rapidly detecting the coal quality based on the comprehensive analysis of the photoluminescence spectrum as claimed in claim 9, is characterized in that:
wherein, a1、b1、c1、d1、e1、f1、g1、h1、i1、j1The values of the compounds are sequentially-0.17, -0.052, 0.609, 0.019, -0.451, -0.136, 0.211, 0.068, 0.354 and 0.142;
a2、b2、c2、d2、e2、f2、g2、h2the values of (A) are sequentially-0.069, 0.144, 0.45, -1.336, 0.162, -0.015, -0.211 and-0.076.
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