CN102297850A - Digital automatic coal rock component measuring method - Google Patents

Digital automatic coal rock component measuring method Download PDF

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CN102297850A
CN102297850A CN2010102055405A CN201010205540A CN102297850A CN 102297850 A CN102297850 A CN 102297850A CN 2010102055405 A CN2010102055405 A CN 2010102055405A CN 201010205540 A CN201010205540 A CN 201010205540A CN 102297850 A CN102297850 A CN 102297850A
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reflectivity
coal
vitrinite
coal petrography
peak
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CN102297850B (en
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胡德生
邹丹平
孙维周
刘其真
曹银平
彭新
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Fudan University
Baoshan Iron and Steel Co Ltd
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Baoshan Iron and Steel Co Ltd
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Abstract

The invention relates to a coal rock component measuring method, in particular to a high-precision and high-efficiency digital automatic coal rock component measuring method. The digital automatic coal rock component measuring method comprises the following steps of: measuring reflectivity and distribution of a full coal rock component by adopting a digital coal rock analysis system, wherein the full coal rock component comprises liptinite, vitrinite and inertinite; and acquiring a reflectivity accumulated histogram and a vitrinite reflectivity variance of the full coal rock component through an image scanning program, performing coal rock component partition on the reflectivity accumulated histogram of the full coal rock component, and calculating the volume percentage content of the coal rock component, wherein in the reflectivity accumulated histogram of the full coal rock component, the reflectivity is used as a transverse coordinate, and the frequency is a data curve of a longitudinal coordinate. The invention provides a scientific, simple and convenient new method for analyzing the coal rock component, the labor intensity is reduced, the analysis efficiency is improved, the method is simple and automatic in operation, an operator does not need professional training, and strong support is provided for perfecting a coal rock coal distribution method.

Description

The automatic assay method of digitizing coal petrography component
Technical field
The present invention relates to a kind of coal petrography compound mensuration method, relate in particular to a kind of high precision, automatic assay method of digitizing coal petrography component efficiently of being applied to.
 
Background technology
The coal petrography component is single important index in coal or the mixing coal coal petrography characteristic of planting, and it is meant the composition content of liptinite in the coal, vitrinite, three kinds of coal petrography structures of inertinite.
Liptinite: liptinite is mainly formed by the relevant secondary tissues such as organ of multiplication, protective tissue, secretion and algae of plant; under reflective lens,oil immersion, be greyish black-Dark grey; have the specific form feature that is easy to recognize, micro-protuberance is arranged, reflectance value is the most weak in the coal petrography component.
Vitrinite: the main fibre fractionation that be transformed by gelification by the wood fibre tissue of plant, often being ribbon, lensing, solid bulk and substrate like occurs, no projection is dark-grey-light gray under the reflective lens,oil immersion, reflectance value is placed in the middle in the coal petrography component.
Inertinite: turned into the fibre fractionation that is transformed by silk quality by plant remains, come in every shape, in high projection, have plant cell structures, the part non-structure, reflectance value is the highest in the coal petrography component, is greyish white-brilliant white or glassy yellow under reflective lens,oil immersion.
At present, the coal petrography composition is manually added up with point count at microscopically, its assay method is a lot, but principle has only one, promptly measure earlier and respectively form area occupied number percent, this area percentage is directly proportional with percent by volume, and the volume percent content of each coal petrography component has characterized each components contents of coal petrography, if the density of known each component promptly can be converted into mass percent.Method commonly used at present is exactly a point count, this method uses electronic enumeration device to measure, it is made up of two parts, the one, mechanical stage, the 2nd, self-recorder, register generally has 8-10 key, and during key on pressing register, counting relay is the next numeral of meter just, and by electron tube transmission signal, the control mechanical stage makes test piece move a distance, and each key is represented a kind of fixedly component during counting, sees which kind of component and drop on center of reticule promptly by the key that is equivalent to this component in the ken, test piece is moved thereupon, so until measuring complete test piece, press on each key press on number of times and all keys the ratio of number of times, be exactly the volume percent content of this component.This method can reach certain precision, but labour intensity is big, requires operating personnel need pass through professional training.
 
Summary of the invention
The object of the present invention is to provide the automatic assay method of a kind of digitizing coal petrography component, this method has rationally utilized the mass data information in the coal petrography full constituent reflectivity accumulative histogram that Digital Coal Petrography Analysis System obtains to go to judge the coal petrography component, and try to achieve the volume percent content of each coal petrography component, it is slow to have solved traditional coal petrography compound mensuration speed, with the big problem of eye intensity.
The present invention is achieved in that the automatic assay method of a kind of digitizing coal petrography component, adopt Digital Coal Petrography Analysis System to measure the reflectivity and the distribution thereof of coal petrography full constituent, described coal petrography full constituent comprises liptinite, vitrinite and inertia group, obtain coal petrography full constituent reflectivity accumulative histogram and vitrinite reflectance variance by the image scanning program, then coal petrography full constituent reflectivity accumulative histogram is carried out the volume percent content that the coal petrography component is cut apart and calculated to the coal petrography component, described coal petrography full constituent reflectivity accumulative histogram is to be horizontal ordinate with the reflectivity, frequency is the data and curves of ordinate, wherein, frequency: the shared number percent of point that refers to a certain reflectivity in all analyzing spots.
If the vitrinite reflectance variance, then is judged to be single coal of planting less than 0.1; Or the vitrinite reflectance variance is more than or equal to more than 0.1, and vitrinite Gauss curve fitting peak is unimodal, then is judged to be single coal of planting;
At first set the starting point threshold values of liptinite reflectivity and the terminal point threshold values of inertinite reflectivity according to coal petrography full constituent reflectivity accumulative histogram, the starting point threshold values of liptinite reflectivity is that frequency is the reflectance value of 2% o'clock correspondence, be designated as T1, the terminal point threshold values of inertinite reflectivity is that frequency is the reflectance value of 98% o'clock correspondence, is designated as T4;
The second, divide three sections fitting a straight lines to coal petrography full constituent reflectivity accumulative histogram: on coal petrography full constituent reflectivity accumulative histogram, determine the roughly interval of each component of coal petrography, utilize then based on the histogram curve section approach method of least square method the curve in above-mentioned interval is carried out fitting a straight line, try to achieve each interval straight line;
Three, utilize the intersection point of fitting a straight line to determine threshold values T3 between threshold values T2, vitrinite and the inertinite between liptinite and the vitrinite;
Four, obtain the integrated value of each component reflectivity accumulative histogram of coal petrography according to threshold values, utilize the radiometer of the integrated value of the integrated value of each component reflectivity accumulative histogram of coal petrography and coal petrography full constituent reflectivity accumulative histogram to calculate liptinite Wr, vitrinite JrAnd inertinite DrVolume percent content, its computing formula are [1], [2] and [3],
Figure DEST_PATH_IMAGE001
[1]
[2]
Figure DEST_PATH_IMAGE003
[3]
In the formula:
Figure 574134DEST_PATH_IMAGE004
Be that reflectivity is
Figure DEST_PATH_IMAGE005
The area of accumulative histogram,
Figure 546682DEST_PATH_IMAGE006
Value be T1, T1+0.01, T1+0.02, T1+0.03 ..., T4, T4-0.01.
If the vitrinite reflectance variance is more than or equal to 0.1, and vitrinite Gauss curve fitting peak is the peak more than 2, then is judged to be the mixing coal;
At first extract the vitrinite reflectance interval, make up vitrinite's histogram, again vitrinite is carried out Gauss curve fitting, determine each peak value, standard deviation and each peak area occupied number percent at match peak;
The second, according to Gauss curve fitting peak value cargo tracer kind coal coal sample storehouse, its method is as follows: suppose that the vitrinite of mixing coal simulates nIndividual Gaussian peak, the peak reflectivity of each Gaussian peak is designated as Mu(1), Mu(2) ..., Mu( n), each peak area occupied number percent is p(1), p(2) ..., p( n), according to these peak reflectivities the coal sample storehouse is inquired about, to each peak i, obtain the immediate single coal coal sample of planting of peak reflectivity by inquiry coal sample storehouse, the liptinite that this coal sample comprised, vitrinite and inertinite percent by volume are designated as respectively Wr( i), Jr( i) and Dr( i);
Three, calculate the liptinite that mixes coal according to following formula [4], [5] and [6] Wr, vitrinite JrAnd inertinite DrVolume percent content.
Figure DEST_PATH_IMAGE007
[4]
Figure 66525DEST_PATH_IMAGE008
[5]
Figure DEST_PATH_IMAGE009
[6]
The present invention uses the Digital Coal Petrography Analysis System of prior art to obtain coal petrography full constituent reflectivity accumulative histogram, according to the information in the full constituent reflectivity accumulative histogram, the new method of a kind of science, easy analysis coal petrography component has been proposed, it is slow that this method has solved traditional coal petrography compound mensuration speed, with the big problem of eye intensity, reduce labour intensity, improved analysis efficiency.Simple to operate and the robotization of the present invention, operating personnel do not need professional training.To improving the coal petrography blending method, the lazy ratio content of living in the control coal blending provides strong support.
 
Description of drawings
Fig. 1 is single coal coal petrography full constituent reflectivity accumulative histogram of planting of embodiment 1;
Fig. 2 is single coal coal petrography full constituent reflectivity accumulative histogram of planting of embodiment 2;
Fig. 3 is single coal coal petrography full constituent reflectivity accumulative histogram of planting of embodiment 3;
Fig. 4 is the mixing coal vitrinite reflectance accumulative histogram of embodiment 4;
Fig. 5 is the mixing coal vitrinite reflectance accumulative histogram of embodiment 5.
 
Embodiment
The invention will be further described below in conjunction with the drawings and specific embodiments.
Embodiment 1
Single coal of planting is tested:
No. 1 sample: with ash content is 12.11%, fixed carbon content is 65.93%, and volatile content is 20.87%, and moisture is that 1.09% coking coal is crushed to below the 1mm, the adding cementing agent is pressed into the cylindric lump coal of diameter 20mm, height 15mm, grinding and polishing then.
No. 2 samples: with ash content is 8.85%, and fixed carbon content is 65.8%, and volatile content is 24.2%, and moisture is that 1.15% coking coal is crushed to below the 1mm, adds the cylindric lump coal that cementing agent is pressed into diameter 20mm, height 15mm, then grinding and polishing.
No. 3 samples: with ash content is 10.87%, and fixed carbon content is 62.53%, and volatile content is 26.6%, and moisture is that 1.09% coking coal is crushed to below the 1mm, adds the cylindric lump coal that cementing agent is pressed into diameter 20mm, height 15mm, then grinding and polishing.
Adopt the Digital Coal Petrography Analysis System of prior art to measure No. 1 reflectivity and distribution thereof to the coal petrography full constituent of No. 3 samples, obtain coal petrography full constituent reflectivity accumulative histogram and vitrinite reflectance variance by the image scanning program, described coal petrography full constituent comprises liptinite, vitrinite and inertia group.Described coal petrography full constituent reflectivity accumulative histogram is to be horizontal ordinate with the reflectivity, and frequency is the data and curves of ordinate, and the present invention is divided into 300 five equilibriums with the reflectivity interval of horizontal ordinate [0,3.0] according to 0.01 interval, as shown in Figure 1 to Figure 3.
No. 1 coal petrography full constituent reflectivity accumulative histogram to No. 3 samples is carried out the coal petrography component cut apart, comprise the steps:
One, utilize the number at vitrinite reflectance variance and vitrinite Gauss curve fitting peak to judge that coal sample is single coal or mixing coal of planting:
If the vitrinite reflectance variance, then is judged to be single coal of planting less than 0.1; If the vitrinite reflectance variance is more than or equal to 0.1, vitrinite Gauss curve fitting peak is unimodal, then is judged to be single coal of planting;
Two, according to mentioned above principle, No. 1 to No. 3 sample vitrinite reflectance variance is judged to be single coal of planting, referring to table 1 all less than 0.1.
At first set the starting point threshold values of liptinite reflectivity and the terminal point threshold values of inertinite reflectivity according to coal petrography full constituent reflectivity accumulative histogram, the starting point threshold values of liptinite reflectivity is that frequency is the reflectance value of 2% o'clock correspondence, be designated as T1, the terminal point threshold values of inertinite reflectivity is that frequency is the reflectance value of 98% o'clock correspondence, is designated as T4;
Second, to coal petrography full constituent reflectivity accumulative histogram segmentation fitting a straight line: referring to Fig. 1 to Fig. 3, on coal petrography full constituent reflectivity accumulative histogram, determine the roughly interval of each component of coal petrography, utilize then based on the histogram curve section approach method of least square method the curve in above-mentioned interval is carried out fitting a straight line, try to achieve the fitting a straight line L of each interval liptinite, vitrinite and inertinite 1, L 2And L 3
The 3rd, utilize the intersection point of fitting a straight line to determine threshold values T3 between threshold values T2, vitrinite and the inertinite between liptinite and the vitrinite;
The 4th, still referring to Fig. 1 to Fig. 3, according to threshold values T1 to T4, two vertical straight line L can draw in each figure 4And L 5,Horizontal ordinate is divided into three interval [T 1, T 2], [T 2, T3] and [T3, T4], thereby obtain: [T 1, T 2] interval is liptinite, [T 2, T3] and the interval is vitrinite, [T3, T4] interval is an inertinite;
The 5th, obtain each component reflectivity accumulative histogram integrated value of coal petrography according to each component threshold values T1 of coal petrography, T2, T3, T4, utilize the radiometer of the integrated value of the integrated value of each component reflectivity accumulative histogram of coal petrography and coal petrography full constituent reflectivity accumulative histogram to calculate liptinite Wr, vitrinite JrAnd inertinite DrVolume percent content,
Figure 818580DEST_PATH_IMAGE001
[1]
[2]
Figure 32710DEST_PATH_IMAGE003
[3]
In the formula:
Figure 231610DEST_PATH_IMAGE004
Be that reflectivity is The area of accumulative histogram, Value be T1, T1+0.01, T1+0.02, T1+0.03 ..., T4, T4-0.01.
According to above-mentioned single coal coal petrography component dividing method of planting, each coal petrography component volume percent content of No. 1, No. 2 and No. 3 sample is referring to table 1.
 
Embodiment 2
Mix the coal test:
No. 4 samples: with ash content is 10.5%, and fixed carbon content is 61.72%, and volatile content is 27.18%, and moisture is that 1.09% coking coal is crushed to below the 1mm, adds the cylindric lump coal that cementing agent is pressed into diameter 20mm, height 15mm, then grinding and polishing.
No. 5 samples: with ash content is 9.9%, and fixed carbon content is 67.15%, and volatile content is 28.25%, and moisture is that 1.58% coking coal is crushed to below the 1mm, adds the cylindric lump coal that cementing agent is pressed into diameter 20mm, height 15mm, then grinding and polishing.
Reflectivity and distribution thereof that the Digital Coal Petrography Analysis System of employing prior art is measured the coal petrography full constituent of 4 and No. 5 samples, obtain coal petrography full constituent reflectivity accumulative histogram and vitrinite reflectance variance by the image scanning program, described coal petrography full constituent comprises liptinite, vitrinite and inertia group.Described coal petrography full constituent reflectivity accumulative histogram is to be horizontal ordinate with the reflectivity, and frequency is the data and curves of ordinate, and the present invention is divided into 300 five equilibriums with the reflectivity interval of horizontal ordinate [0,3.0] according to 0.01 interval.
The coal petrography full constituent reflectivity accumulative histogram of No. 4 and No. 5 samples is carried out the coal petrography component cut apart, comprise the steps:
One, utilize the number at vitrinite reflectance variance and vitrinite Gauss curve fitting peak to judge that coal sample is single coal or mixing coal of planting:
If the vitrinite reflectance variance is more than or equal to 0.1, and vitrinite Gauss curve fitting peak is the peak more than 2, then is judged to be the mixing coal;
Two, according to mentioned above principle, No. 4 and No. 5 sample vitrinite reflectance variances are all greater than 0.12, and the number at vitrinite Gauss curve fitting peak is respectively 3 and 4 peaks, and therefore No. 4 and No. 5 samples are judged to be the mixing coal.
At first extract No. 4 and No. 5 sample vitrinite reflectance intervals, make up vitrinite's histogram, described vitrinite histogram is by the vitrinite zone in all images of gathering is added up, and what draw is horizontal ordinate with the reflectivity, and frequency is the data and curves of ordinate.Referring to Fig. 4 and Fig. 5, again vitrinite is carried out Gauss curve fitting, determine each peak value, standard deviation and each peak area occupied number percent at match peak, shown in table 2 and table 3;
The second, according to Gauss curve fitting peak value cargo tracer kind coal coal sample storehouse, its method is as follows: suppose that the vitrinite of mixing coal simulates nIndividual Gaussian peak, the peak reflectivity of each Gaussian peak is designated as Mu(1), Mu(2) ..., Mu( n), each peak area occupied number percent is p(1), p(2) ..., p( n), according to these peak reflectivities the coal sample storehouse is inquired about, to each peak i, obtain the immediate single coal coal sample of planting of peak reflectivity by inquiry coal sample storehouse, the liptinite that this coal sample comprised, vitrinite and inertinite percent by volume are designated as respectively Wr( i), Jr( i) and Dr( i);
Three, calculate the liptinite that mixes coal according to following formula [4], [5] and [6] Wr, vitrinite JrAnd inertinite DrVolume percent content,
Figure 696778DEST_PATH_IMAGE007
[4]
Figure 157846DEST_PATH_IMAGE008
[5]
Figure 774641DEST_PATH_IMAGE009
[6]?。
If single peak reflectivity of planting coal coal sample peak reflectivity and fitted Gaussian peak that inquiry obtains in single kind coal coal sample storehouse differs bigger, then set a threshold value 0.05, if the reflectivity difference, thinks then that not have single coal of planting in the coal sample storehouse corresponding with this match peak greater than this threshold value.
According to above-mentioned mixing coal coal petrography component dividing method, each coal petrography component volume percent content of No. 4 and No. 5 samples is referring to table 2 and table 3.
Figure DEST_PATH_IMAGE011
Figure 953950DEST_PATH_IMAGE012

Claims (3)

1. automatic assay method of digitizing coal petrography component, it is characterized in that: adopt Digital Coal Petrography Analysis System to measure the reflectivity and the distribution thereof of coal petrography full constituent, described coal petrography full constituent comprises liptinite, vitrinite and inertia group, obtain coal petrography full constituent reflectivity accumulative histogram and vitrinite reflectance variance by the image scanning program, then coal petrography full constituent reflectivity accumulative histogram is carried out the volume percent content that the coal petrography component is cut apart and calculated to the coal petrography component, described coal petrography full constituent reflectivity accumulative histogram is to be horizontal ordinate with the reflectivity, and frequency is the data and curves of ordinate.
2. the automatic assay method of digitizing coal petrography component according to claim 1 is characterized in that: if the vitrinite reflectance variance, then is judged to be single coal of planting less than 0.1; Or the vitrinite reflectance variance is more than or equal to more than 0.1, and vitrinite Gauss curve fitting peak is unimodal, then is judged to be single coal of planting;
At first set the starting point threshold values of liptinite reflectivity and the terminal point threshold values of inertinite reflectivity according to coal petrography full constituent reflectivity accumulative histogram, the starting point threshold values of liptinite reflectivity is that frequency is the reflectance value of 2% o'clock correspondence, be designated as T1, the terminal point threshold values of inertinite reflectivity is that frequency is the reflectance value of 98% o'clock correspondence, is designated as T4;
The second, divide three sections fitting a straight lines to coal petrography full constituent reflectivity accumulative histogram: on coal petrography full constituent reflectivity accumulative histogram, determine the roughly interval of each component of coal petrography, utilize then based on the histogram curve section approach method of least square method the curve in above-mentioned interval is carried out fitting a straight line, try to achieve each interval straight line;
Three, utilize the intersection point of fitting a straight line to determine threshold values T3 between threshold values T2, vitrinite and the inertinite between liptinite and the vitrinite;
Four, obtain the integrated value of each component reflectivity accumulative histogram of coal petrography according to threshold values, utilize the radiometer of the integrated value of the integrated value of each component reflectivity accumulative histogram of coal petrography and coal petrography full constituent reflectivity accumulative histogram to calculate liptinite Wr, vitrinite JrAnd inertinite DrVolume percent content, its computing formula are [1], [2] and [3],
[1]
Figure DEST_PATH_IMAGE004
[2]
Figure DEST_PATH_IMAGE006
[3]
In the formula:
Figure DEST_PATH_IMAGE008
Be that reflectivity is
Figure DEST_PATH_IMAGE010
The area of accumulative histogram,
Figure DEST_PATH_IMAGE012
Value be T1, T1+0.01, T1+0.02, T1+0.03 ..., T4, T4-0.01.
3. the automatic assay method of digitizing coal petrography component according to claim 1 is characterized in that: if the vitrinite reflectance variance is more than or equal to 0.1, and vitrinite Gauss curve fitting peak is the peak more than 2, then is judged to be the mixing coal;
At first extract the vitrinite reflectance interval, make up vitrinite's histogram, again vitrinite is carried out Gauss curve fitting, determine each peak value, standard deviation and each peak area occupied number percent at match peak;
The second, according to Gauss curve fitting peak value cargo tracer kind coal coal sample storehouse, its method is as follows: suppose that the vitrinite of mixing coal simulates nIndividual Gaussian peak, the peak reflectivity of each Gaussian peak is designated as Mu(1), Mu(2) ..., Mu( n), each peak area occupied number percent is p(1), p(2) ..., p( n), according to these peak reflectivities the coal sample storehouse is inquired about, to each peak i, obtain the immediate single coal coal sample of planting of peak reflectivity by inquiry coal sample storehouse, the liptinite that this coal sample comprised, vitrinite and inertinite percent by volume are designated as respectively Wr( i), Jr( i) and Dr( i);
Three, calculate the liptinite that mixes coal according to following formula [4], [5] and [6] Wr, vitrinite JrAnd inertinite DrVolume percent content,
Figure DEST_PATH_IMAGE014
[4]
[5]
Figure DEST_PATH_IMAGE018
[6]?。
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CN104090084B (en) * 2014-06-27 2016-03-09 江苏省沙钢钢铁研究院有限公司 A kind of application of Forecasting Methodology of mixed coal vitrinite reflectance distribution
CN108132231A (en) * 2016-11-30 2018-06-08 广东韶钢松山股份有限公司 A kind of vitrinite reflectance determination value temperature deviation bearing calibration
CN108346147B (en) * 2018-02-08 2021-09-28 辽宁翔舜科技有限公司 Technical method for quickly, automatically and accurately identifying coal rock micro-components
CN108346147A (en) * 2018-02-08 2018-07-31 辽宁翔舜科技有限公司 A kind of macerals is fast automatic to accurately identify technical method
CN112147168A (en) * 2019-06-27 2020-12-29 中国石油化工股份有限公司 Method and system for characterizing maturity of organic matter based on electron beam charge effect
CN112147168B (en) * 2019-06-27 2023-11-28 中国石油化工股份有限公司 Organic matter maturity characterization method and system based on electron beam charge effect
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CN113484282A (en) * 2021-07-02 2021-10-08 西安建筑科技大学 Identification method for doping inferior lean coal, lean coal or anthracite in semi-coke powder
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