CN107632107B - A kind of Burning Behavior For Pulverized Coal rapid detection method - Google Patents
A kind of Burning Behavior For Pulverized Coal rapid detection method Download PDFInfo
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Abstract
The present invention relates to a kind of Burning Behavior For Pulverized Coal rapid detection methods, it includes the following steps: that S1. chooses a variety of different standard coals, Raman spectrum test and thermogravimetric analysis are carried out to every kind of standard coal respectively, obtain Raman spectral characteristics parameter and coal dust firing characteristic parameter, the mapping relations of calculated Raman spectrum characteristic parameter and coal dust firing characteristic parameter establish Raman spectral characteristics parameter and Burning Behavior For Pulverized Coal characteristic parameter linked database；S2. Raman spectrum test is carried out to raw coal to be detected, obtain and its Raman spectral characteristics parameter and it is compared with linked database, according to corresponding mapping relations, obtain the Burning Behavior For Pulverized Coal parameter of raw coal to be detected.Have the beneficial effect that detection quickly, can obtain multiple Burning Behavior For Pulverized Coal parameters simultaneously, it is comprehensively and accurate；After establishing database, only needing to carry out raw coal to be measured Raman spectrum detection every time can be obtained Burning Behavior For Pulverized Coal parameter, and the later period, cost is relatively low and high-efficient, is suitable for engineering application.
Description
Technical field
The invention patent belongs to Burning Behavior For Pulverized Coal detection field, more particularly to a kind of Burning Behavior For Pulverized Coal is quick
Detection method.
Background technique
Coal accounting 65% or so in the non-renewable energy of China, and the coal of wherein most is supplied for combustion power generation
Energy.During coal burning, the combustion characteristics of coal be influence boiler efficiency of combustion and pollutant key factor, therefore
The combustion characteristics of look-ahead coal dust is most important to boiler combustion adjustment and its high-efficiency cleaning burning.
At present in coal-burning power plant, the combustion characteristics of coal dust is not detected directly, but directly passes through Industrial Analysis element point
Analysis obtains the coal quality parameter of coal dust, further according to empirical equation, carries out calculating prediction, accuracy is not high.The member of one side coal dust
Plain analytical industry analysis, needs to carry out referring to national standard, though accurately, taking a long time, is unfavorable for being quickly obtained for parameter, with this
Meanwhile the combustion characteristics of the coal dust not only relating to parameters with Industrial Analysis elemental analysis, it is closer with the chemical structure of coal dust
Association, the especially concentrating degree of phenyl ring, oxygen-containing functional group number, alkane branch number and crosslinked action power,
Therefore there is certain limitation often through the combustion characteristics that elemental analysis Industrial Analysis parameter carries out prediction coal dust.
Patent CN201510680107.X disclose it is a kind of detection boiler furnace in coal dust firing dynamic characteristics method and
System is injected to total burning time and the Secondary Air air distribution state for leaving burner hearth according to preset coal dust from burner nozzle,
Sliding-model control is carried out to process of coal combustion, obtains several oxygen concentration sections, several temperature ranges, each oxygen concentration area
Between the first burning time and each temperature range the second burning time, further according to thermogravimetric to simulate corresponding condition come it is pre-
Coal dust is surveyed in the combustion characteristics in each section, but this method can not fast and accurately detect the combustion characteristics of coal dust；Specially
Sharp CN200610046105.6 discloses a kind of coal powder performance detection method and its device, this method by produce coal sample,
Make coal combustion, coal dust remains static in combustion process, while the related gas that on-line continuous detection combustion process generates contains
Amount, and result is analyzed.The invention is mainly the generation process according to burning waste gas, judges coal dust firing state, still
This method also cannot achieve quick detection.Patent CN201610600182.5 discloses a kind of coal quality based on Raman spectrum analysis
Rapid detection method, though have between coal quality and the combustion characteristics of coal dust it is certain contact, pass through coal quality as described in leading portion content
Predict that the combustion characteristics accuracy of coal dust is not high, reason is closely related for the combustion characteristics of coal dust and the chemical structure of coal dust, coal
Matter can not but accurately reflect the chemical structure of coal dust, therefore the correlation of coal quality and the combustion characteristics of coal dust is difficult to ensure；In addition,
Though it is a kind of based on Raman spectrum analysis to be concluded that patent CN201610600182.5 is disclosed according to above-mentioned analysis
Coal quality rapid detection method, but those skilled in the art can not be built with " Raman spectrum → coal quality → Burning Behavior For Pulverized Coal "
The quick detection of vertical coal dust, because coal quality to relevance between Burning Behavior For Pulverized Coal only has, empirical equation is available, and channel syndrome
Its real accuracy is not high, therefore still lacks the rapid detection method of effective Burning Behavior For Pulverized Coal in the prior art.
Summary of the invention
Aiming at the above defects or improvement requirements of the prior art, the present invention provides a kind of Burning Behavior For Pulverized Coals quickly to detect
Method, its purpose is to provide a kind of ignition temperature quick, reliable, easy to operate and that coal dust can be obtained simultaneously, Burn-out temperature,
The Burning Behavior For Pulverized Coals relevant parameter such as activation energy and pre-exponential factor.This method is applicable to the Burning Behavior For Pulverized Coal of coal-burning power plant etc.
Detection, be also applied for the detection of the coal combustion character during laboratory research.
To achieve the above object, The technical solution adopted by the invention is as follows: a kind of Burning Behavior For Pulverized Coal rapid detection method,
It includes the following steps:
S1. Raman spectral characteristics parameter and Burning Behavior For Pulverized Coal characteristic parameter linked database are established:
Choose the standard coal of a variety of different ranks, different ash content, respectively to every kind of standard coal carry out Raman spectrum test and
Thermogravimetric analysis obtains the Raman spectral characteristics parameter and coal dust firing characteristic parameter of every kind of standard coal, calculated Raman spectrum feature
The mapping relations of parameter and coal dust firing characteristic parameter, establish Raman spectral characteristics parameter and Burning Behavior For Pulverized Coal characteristic parameter closes
Join database,
Wherein Raman spectral characteristics parameter includes: the peak position at the peak D, the peak V, the peak G, the peak 2D, the peak 2G, the peak (G+D) and the peak 2S
PD、PV、PG、P2D、P2G、P(G+D)、P2SAnd combinations thereof P(G-D), peak width WD、WV、WG、W2D、W2G、W(D+G)And W2S, peak area ID、IV、
IG、I2D、I2G、I(D+G)And I2S, single order Raman spectrum total peak area and second order Raman spectrum total peak area S1、S2And its corresponding combination
ID/S1、IV/S1、IG/S1、I2D/S2、I2G/S2、I(D+G)/S2、S1/S2、IV/I2D、I2D/I2S、I(D+G)/I2SAnd I(D+G)/I2S, specifically
When operation, is required according to the difference to database precision, can all obtain above-mentioned parameter, can also only obtain one in above-mentioned parameter
Part；Burning Behavior For Pulverized Coal characteristic parameter includes: ignition point (Ti), maximum weightless temperature (Tm), Burn-out temperature (Tb), burn-off rate
(Bn), activation energy (E) and pre-exponential factor (K)；
S2. Burning Behavior For Pulverized Coal quickly detects:
Raman spectrum test is carried out to raw coal to be detected using mode identical with S1 and benchmark, is obtained corresponding with S1
Simultaneously it is compared with the established linked database of S1 for Raman spectral characteristics parameter, according to drawing corresponding in linked database
The mapping relations of graceful spectral signature parameter and Burning Behavior For Pulverized Coal characteristic parameter obtain the Burning Behavior For Pulverized Coal ginseng of raw coal to be detected
Number.Namely Raman spectrum test is carried out to raw coal to be detected, and parse to Raman spectrogram, obtain the drawing of raw coal to be detected
Graceful spectral correlation characteristic parameter, and established Burning Behavior For Pulverized Coal-Raman spectrum linked database is inputted, by database
The T of raw coal to be detected can be calculated in the mapping relations of related Raman spectral signature parameter and Burning Behavior For Pulverized Coali、Tm、Tb、
Bn, the Burning Behavior For Pulverized Coals characteristic parameter such as E, K, the combustion characteristics of coal dust to be detected can be obtained.
Based on the above technical solution, the present invention can also have following further specific choice.
Specifically, at least 10 kinds of quantity of standard coal chosen, selected standard coal be raw ore coal and for it is representative not
Same coal.Standard coal is non-mixed coal and its selection is not limited only to lignite to the routine coal such as anthracite, further include different rank,
The standard coal of different ash contents, different in moisture.
Specifically, Raman spectrum detection range selects 800-3400cm-1Spectral coverage, the spectral coverage of single order Raman peaks are 800-
1800cm-1, the spectral coverage of second order Raman peaks is 1800-3400cm-1.When being parsed to Raman spectrogram, to Raman spectrum into
Row parsing not only includes single order wave band (800-1800cm-1) also include second order wave band (2100-3400cm-1), and can be used
Ten peaks can also be used to carry out swarming fitting in five peaks, and peak shape can be Gaussian peak and be also possible to Lorentz peak.
Specifically, the mapping relations in S1 are for reflecting that Raman spectral characteristics parameter and single Burning Behavior For Pulverized Coal feature are joined
Being associated between Raman spectral characteristics parameter and multiple Burning Behavior For Pulverized Coal characteristic parameters is associated with or reflected between number.
Compared with prior art, the beneficial effects of the present invention are:
1. present invention detection is quickly, the ignition temperature of coal dust, maximum weightless temperature, Burn-out temperature, activation can be obtained simultaneously
The parameters such as energy and pre-exponential factor, it is comprehensively and accurate.
2. Raman spectral characteristics parameter established by the present invention and Burning Behavior For Pulverized Coal parameter association database, coal are neat
Entirely, data are abundant, as powerful database can Reusability, can theoretically cover the Burning Behavior For Pulverized Coal of all raw ore coals
Quick detection, and for detection accuracy provide guarantee.
After 3. the present invention establishes database, it is only necessary to which carrying out Raman spectrum detection to raw coal to be detected can be fast accordingly
Speed obtains Burning Behavior For Pulverized Coal parameter, and test is simple, and the later period, cost is relatively low and high-efficient, is suitable for engineering application.
Detailed description of the invention
Fig. 1 is the flow diagram of Burning Behavior For Pulverized Coal rapid detection method provided by the invention；
Fig. 2 is that Burning Behavior For Pulverized Coal parameter T is obtained from thermogravimetric curvei、TmAnd TbMethod signal；
Fig. 3 is the Raman spectrum original image of typical 10 kinds of standard coals；
Fig. 4 is Raman spectral characteristics parameter peak position P(G-D)With Burning Behavior For Pulverized Coal parameter TiMapping relations schematic diagram.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention.As long as in addition, technical characteristic involved in the various embodiments of the present invention described below that
Not constituting conflict between this can be combined with each other.
The combustion characteristics of coal dust depends primarily on the characteristic (internal condition) and burning condition (external condition) of coal dust, usually
For external burning condition can be adjusted according to inherent coal powder performance, to realize burning condition, therefore identical
In under external condition the combustion characteristics that determines of coal powder performance it is most important to the firing optimization of coal-burning power plant and optimization.And coal
It mainly include physical structure, chemical structure and alkali metal alkaline earth metal content etc. in the characteristic of powder.For most of coal dust,
The content of alkali metal alkaline earth metal is all less, therefore for most of different coals, the influence of alkali metal alkaline earth metal is smaller.
And typically, when the initial particle of coal dust is identical, physical structure such as porosity, specific surface area etc. is similar, the same terms
Under, initial physical structure difference is little.Therefore in the characteristic of coal dust, chemical structure is a main decision Burning Behavior For Pulverized Coal
Factor.So if the chemical structure that can accurately and rapidly characterize coal dust is the key that the combustion characteristics prediction to coal dust.
Raman spectrum is a kind of inelastic scattering light, and when laser gets to material surface, the molecule of material surface can generate spy
The Raman spectrum of sign forms Raman peaks, therefore feature peak energy characterizes specific chemical structure in substance in Raman spectrum.Due to drawing
Graceful spectrum is very sensitive to carbon structure, therefore it is very sensitive to the change of the chemical structure of coal.In general, the Raman light of coal
1350cm in spectrum-1The neighbouring peak D can reflect big aromatic ring structure in coal and be located at 1580cm-1In neighbouring G peak energy reflection coal
The intensity of graphite crystal, and 1500cm-1The neighbouring peak V can then reflect the duvets such as agraphitic carbon and the methylmethylene in coal
Structure.And it is located at 2400cm-1The peak 2S of left and right can then reflect it is how many etc. that crosslinked action intensity or oxygen-containing hat can roll into a ball.By to these peaks
Variation quantitative analysis, so that it may obtain the variation of these chemical structures in coal, be capable of efficiently and accurately characterization coal change
Learn structure.Further, since Raman spectrum is a kind of inelastic scattering spectrum of light, is formed and record can be very fast, because
This, the test of Raman spectrum is also a more rapid process, and efficiency is higher.It may be said that Raman spectroscopy can be efficiently quasi-
The chemical structure of true record coal.
Based on principles above, of the invention provides a kind of Burning Behavior For Pulverized Coal rapid detection method, the process of this method
Schematic diagram is as shown in Figure 1, specifically comprise the following steps:
S1. Raman spectral characteristics parameter and Burning Behavior For Pulverized Coal characteristic parameter linked database are established:
Choose the standard coal of a variety of different ranks, different ash content, respectively to every kind of standard coal carry out Raman spectrum test and
Thermogravimetric analysis obtains the Raman spectral characteristics parameter and coal dust firing characteristic parameter of every kind of standard coal, calculated Raman spectrum feature
The mapping relations of parameter and coal dust firing characteristic parameter, establish Raman spectral characteristics parameter and Burning Behavior For Pulverized Coal characteristic parameter closes
Join database,
Wherein Raman spectral characteristics parameter includes: the peak position at the peak D, the peak V, the peak G, the peak 2D, the peak 2G, the peak (G+D) and the peak 2S
PD、PV、PG、P2D、P2G、P(G+D)、P2SAnd combinations thereof P(G-D), peak width WD、WV、WG、W2D、W2G、W(D+G)And W2S, peak area ID、IV、
IG、I2D、I2G、I(D+G)And I2S, single order Raman spectrum total peak area and second order Raman spectrum total peak area S1、S2And its corresponding combination
ID/S1、IV/S1、IG/S1、I2D/S2、I2G/S2、I(D+G)/S2、S1/S2、IV/I2D、I2D/I2S、I(D+G)/I2SAnd I(D+G)/I2S；Coal dust
Combustion characteristics characteristic parameter includes: ignition point, maximum weightless temperature, Burn-out temperature, burn-off rate, activation energy and pre-exponential factor；
S2. Burning Behavior For Pulverized Coal quickly detects:
Raman spectrum test is carried out to raw coal to be detected using mode identical with S1 and benchmark, is obtained corresponding with S1
Simultaneously it is compared with the established linked database of S1 for Raman spectral characteristics parameter, according to drawing corresponding in linked database
The mapping relations of graceful spectral signature parameter and Burning Behavior For Pulverized Coal characteristic parameter obtain the Burning Behavior For Pulverized Coal ginseng of raw coal to be detected
Number.
The first embodiment of the present invention and an application example based on first embodiment is described below.
(1) Burning Behavior For Pulverized Coal-Raman spectrum linked database is established
Including choosing different rank, high ash content, high-moisture raw coal, and standard coal is subjected to mechanical lapping, obtaining partial size is
74-105 μm of coal dust, and thermogravimetric analysis and Raman spectrum analysis are carried out to these coal dusts respectively.
(1a) carries out parsing to the Raman spectrum of standard coal and obtains the peak D, the peak V, the peak G, the peak 2D, the peak 2G, the peak (G+D), the peak 2S
Equal peaks peak position PD、PV、PG、P2D、P2G、P(G+D)、P2SAnd combinations thereof P(G-D), peak width WD、WV、WG、W2D、W2G、W(D+G)、W2S, peak face
Product ID、IV、IG、I2D、I2G、I(D+G)、I2S, single order Raman spectrum total peak area and second order Raman spectrum total peak area S1、S2And its
The corresponding combination ID/S1、IV/S1、IG/S1、I2D/S2、I2G/S2、I(D+G)/S2、S1/S2、IV/I2D、I2D/I2S、I(D+G)/I2S、I(D+G)/
I2SEtc. Raman spectral characteristics parameter.
During being parsed to Raman spectrum, the swarming meter of pretreatment and Raman spectrum including Raman spectrum
It calculates, pretreatment includes that Raman spectrum is carried out segment processing, is divided into single order Raman peaks and second order Raman peaks, to guarantee the true of spectrum
Reality does not carry out the processing that can change Raman spectrum shape such as smooth to Raman spectrum.When carrying out swarming to Raman spectrum, to one
Rank spectral coverage can carry out two peaks, three peaks and the parsing of ten peak swarmings respectively, can be different using three peaks and eight peaks etc. to second order spectral coverage
Swarming method, it is therefore an objective to obtain Raman spectral characteristics parameter as much as possible with different method.
(1b) can obtain coal dust with the variation of temperature, the variation of its own quality, by heat by thermogravimetric analysis
The computer disposal of weight-loss curve can obtain the ignition temperature (T of coal dusti), maximum weightless temperature (Tm), Burn-out temperature (To)、
Burn-off rate (Bn), activation energy (E), pre-exponential factor (K).
Corresponding characteristic temperature and burn-off rate can get using tangential method when calculating the combustion characteristics characteristic parameter of coal dust,
Activation energy (E) and pre-exponential factor (K) can get using dynamics calculation.
(1c) is established in (1a) in Raman spectral characteristics parameter and (1b) respectively between each Burning Behavior For Pulverized Coal characteristic parameter
Relationship, the mapping relations between both parameter are established, to establish Burning Behavior For Pulverized Coal-Raman spectral characteristics parameter association
Database.
More particularly using any one Raman spectral characteristics parameter as abscissa, one of Burning Behavior For Pulverized Coal feature ginseng
The non-ordinate of number, draws mapping relations figure between the two, and carries out the Fitting Calculation and obtain incidence relation formula.In the association of acquisition
In relational expression, fitting coefficient is higher as the incidence relation formula preferentially used.In the mapping relations finally obtained, Ke Nengyi
A Raman spectrum parameter can be mapped with one or several Burning Behavior For Pulverized Coal characteristic parameters, it is also possible to several Raman lights
Spectrum signature parameter is preferably associated with a Burning Behavior For Pulverized Coal characteristic parameter, therefore can be as more as possible when establishing database
This mapping relations of searching and be recorded into database.
(2) Burning Behavior For Pulverized Coal to be measured quickly detects
(2a) carries out Raman spectrum detection to coal to be measured
Since grinding will not generate change to the chemical structure of coal dust, because not needing generally before Raman detection to be measured
Coal is ground.Parameter used in Raman detection further for coal to be measured is identical with (1).Obtain the Raman light of coal to be measured
After spectrum, such as the parsing in (1) is carried out to Raman spectrum and obtains corresponding Raman spectral characteristics parameter.
The coal Raman spectral characteristics parameter comparison data library to be measured (2b)
The Burning Behavior For Pulverized Coal feature obtained in the Raman spectral characteristics parameter of the coal to be measured obtained in (2a) and (1) is joined
The linked database of number-Raman spectral characteristics parameter is compared, and can obtain ignition temperature (Ti), maximum weightless temperature (Tm)、
Burn-out temperature (To), burn-off rate (Bn), activation energy (E), the Burning Behavior For Pulverized Coals characteristic parameter such as pre-exponential factor (K), so that it is determined that
Survey burning of coal characteristic.
During comparison, a combustion characteristics characteristic parameter is corresponded to when encountering multiple Raman spectral characteristics parameters
When, multiple Raman spectral characteristics parameters can be substituted into corresponding correlation, obtain multiple values and be averaged raising prediction
Precision.
Here is the application example based on first embodiment.
1) 40 kinds of standard coals are chosen, marked as 1-40, and respectively, grinding screening obtains the coal dust that partial size is 74-105 μm,
Heat analysis is carried out in thermogravimetric.The temperature program of heat analysis is as follows:
1 heat analysis temperature program(me) of table
2) by tangential method (as shown in Figure 2) and dynamic analysis, 40 kinds of burning of coal characteristic feature parameters are obtained, are table
Up to simplicity, here and subsequent example only enumerates the related datas of wherein typical 10 kinds of standard coals, as shown in table 2.
2 standard coal combustion character characteristic parameter of table
3) Raman spectrum test is carried out to 40 kinds of standard coals, the Raman spectrogram of standard coal is obtained, wherein ten kinds of typical case
Spectrogram is as shown in Fig. 3, and Raman spectrum test condition is as shown in table 3:
3 Raman spectrum test condition of table
| Optical maser wavelength | Laser power | Eyepiece multiple | Sweep time | Scanning range |
| 532.16nm | 5mW | ×50 | 15s | 800-3400cm-1 |
4) Raman spectrum is parsed, obtains the Raman spectral characteristics parameter of standard coal, wherein ten kinds of standard coal
Raman spectral characteristics parameter, as shown in table 4:
4 standard coal Raman spectral characteristics parameter of table
5) the Raman spectral characteristics parameter of Burning Behavior For Pulverized Coal characteristic parameter obtained and coal dust is associated, is established
Burning Behavior For Pulverized Coal-Raman spectral characteristics parameter association database, wherein typical relation G peak position-D peak position and coal powder ignition characteristic
Incidence relation it is as shown in Figure 4.
6) coal to be measured is obtained, and the Raman spectral characteristics parameter for repeating step 3) step 4) acquisition coal to be measured is as shown in table 5:
The coal Raman spectral characteristics parameter to be measured of table 5
7) coal Raman spectral characteristics parameter to be measured is substituted into the Burning Behavior For Pulverized Coal-Raman spectral characteristics established in step 5)
It is as shown in table 6 to obtain burning of coal characteristic feature parameters to be measured for parameter association database:
The coal combustion character characteristic parameter to be measured of table 6
8) combustion characteristics experiment is carried out to coal to be measured with thermogravimetric analyzer, calculates its practical combustion characteristics characteristic parameter such as
Shown in table 7:
The coal Actual combustion characteristic feature parameters to be measured of table 7
It can be seen that the coal combustion character characteristic parameter to be measured measured by this method and its Actual combustion spy by comparison
Property difference is smaller, and error further illustrates the feasibility of this method within 2%, while it is higher to also demonstrate its accuracy.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should all include
Within protection scope of the present invention.
Claims (4)
1. a kind of Burning Behavior For Pulverized Coal rapid detection method, which comprises the steps of:
S1. Raman spectral characteristics parameter and Burning Behavior For Pulverized Coal characteristic parameter linked database are established:
The standard coal for choosing a variety of different ranks, different ash contents, carries out Raman spectrum test and thermogravimetric to every kind of standard coal respectively
Analysis obtains the Raman spectral characteristics parameter and coal dust firing characteristic parameter of every kind of standard coal, calculated Raman spectrum characteristic parameter
With the mapping relations of coal dust firing characteristic parameter, Raman spectral characteristics parameter and Burning Behavior For Pulverized Coal characteristic parameter incidence number are established
According to library,
Wherein Raman spectral characteristics parameter includes: the peak position P at the peak D, the peak V, the peak G, the peak 2D, the peak 2G, the peak (G+D) and the peak 2SD、PV、
PG、P2D、P2G、P(G+D)、P2SAnd combinations thereof P(G-D), peak width WD、WV、WG、W2D、W2G、W(D+G)And W2S, peak area ID、IV、IG、I2D、
I2G、I(D+G)And I2S, single order Raman spectrum total peak area and second order Raman spectrum total peak area S1、S2And its corresponding combination ID/S1、
IV/S1、IG/S1、I2D/S2、I2G/S2、I(D+G)/S2、S1/S2、IV/I2D、I2D/I2S、I(D+G)/I2SAnd I(D+G)/I2S；Coal dust firing is special
Property characteristic parameter includes: ignition point, maximum weightless temperature, Burn-out temperature, burn-off rate, activation energy and pre-exponential factor；
S2. Burning Behavior For Pulverized Coal quickly detects:
Raman spectrum test is carried out to raw coal to be detected using mode identical with S1 and benchmark, obtains Raman corresponding with S1
Simultaneously it is compared with the established linked database of S1 for spectral signature parameter, according to Raman light corresponding in linked database
The mapping relations of spectrum signature parameter and Burning Behavior For Pulverized Coal characteristic parameter obtain the Burning Behavior For Pulverized Coal parameter of raw coal to be detected.
2. a kind of Burning Behavior For Pulverized Coal rapid detection method according to claim 1, which is characterized in that the standard coal of selection
At least 10 kinds of quantity, selected standard coal is raw ore coal and for representative different coal.
3. a kind of Burning Behavior For Pulverized Coal rapid detection method according to claim 1, which is characterized in that Raman spectrum detection
Range selects 800-3400cm-1Spectral coverage, the spectral coverage of single order Raman peaks are 800-1800cm-1, the spectral coverage of second order Raman peaks is
1800-3400cm-1。
4. a kind of Burning Behavior For Pulverized Coal rapid detection method according to any one of claims 1 to 3, which is characterized in that S1
In mapping relations be associated with or reflect for reflecting between Raman spectral characteristics parameter and single Burning Behavior For Pulverized Coal characteristic parameter
Being associated between Raman spectral characteristics parameter and multiple Burning Behavior For Pulverized Coal characteristic parameters.
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| CN112710638B (en) * | 2020-12-19 | 2022-05-13 | 华中科技大学 | Method for rapidly detecting coal quality based on photoluminescence spectrum comprehensive analysis |
| CN114184596B (en) * | 2021-12-09 | 2023-04-18 | 中国科学院上海微系统与信息技术研究所 | Synchronous thermogravimetry-Raman characterization method |
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