CN102436537A - Particle size distribution-based coal dropping gas emission amount prediction method - Google Patents
Particle size distribution-based coal dropping gas emission amount prediction method Download PDFInfo
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- CN102436537A CN102436537A CN2011102197608A CN201110219760A CN102436537A CN 102436537 A CN102436537 A CN 102436537A CN 2011102197608 A CN2011102197608 A CN 2011102197608A CN 201110219760 A CN201110219760 A CN 201110219760A CN 102436537 A CN102436537 A CN 102436537A
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- 239000003245 coal Substances 0.000 title claims abstract description 87
- 239000002245 particle Substances 0.000 title claims abstract description 65
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000009826 distribution Methods 0.000 title claims abstract description 25
- 238000003795 desorption Methods 0.000 claims abstract description 24
- 238000005315 distribution function Methods 0.000 claims abstract description 18
- 238000004364 calculation method Methods 0.000 claims description 8
- 239000004484 Briquette Substances 0.000 claims description 2
- 238000010276 construction Methods 0.000 claims description 2
- 239000011148 porous material Substances 0.000 claims 1
- 238000005303 weighing Methods 0.000 abstract description 3
- 238000012216 screening Methods 0.000 abstract description 2
- 238000005065 mining Methods 0.000 description 6
- 238000009423 ventilation Methods 0.000 description 3
- 238000007619 statistical method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000007873 sieving Methods 0.000 description 1
- 238000001179 sorption measurement Methods 0.000 description 1
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Abstract
The invention discloses a method for predicting the emission amount of coal dropping gas based on particle size distribution, which comprises the steps of screening coal samples by using sieves with different apertures, weighing the mass of coal particles with various particle sizes, calculating the ratio of the mass of the coal particles with various particle sizes to the total mass of a sample and distribution function values corresponding to various particle sizes, and calculating the parameters of a distribution function by using a dichotomy so as to construct a diameter distribution function and distribution density of the coal particles; taking two different exposure times for coal samples with the same particle size, testing the corresponding residual gas content, determining one parameter in a gas desorption intensity relational expression, then taking different exposure times for the coal samples with the two particle sizes, and determining the other parameter in the gas desorption intensity relational expression, thereby constructing the relational expression of the gas residual amount and the gas desorption intensity in the coal samples; and finally, calculating the gas desorption amount caused by coal breakage by using a double integral expression of the coal breakage mass in unit time, the coal particle diameter distribution density function and the gas desorption intensity on time and diameter, and taking the gas desorption amount as the prediction of the gas emission amount.
Description
Technical Field
The invention belongs to the technical field of coal mine safety, and relates to a prediction method of gas emission quantity, in particular to a prediction method of gas emission quantity caused by coal breakage.
Background
In the coal mining process, the collapse of the coal blocks makes the gas in the adsorption state into a free state, and the process is called desorption. The gas emission quantity caused by coal breakage accounts for most of the total gas emission quantity, along with the increase of the mining depth and the mining intensity, the coal breakage quantity and the gas emission quantity in unit time are continuously increased, the gas emission quantity caused by coal breakage is accurately predicted, and the method plays an important role in the design of a ventilation system and the safety production of a coal mine.
At present, the gas emission quantity of a coal face is predicted mainly by means of gas concentration and air quantity provided by a ventilation system. For example, a mine statistical method (statistical predicted method of mine gas) is a method for predicting a new well or a new level of gas emission quantity according to the rule that the mine gas emission quantity changes along with the mining depth according to the statistical analysis of the actual gas emission data of the mine or adjacent mines; the source-divided prediction method (predicted method by differential gas source) is a method for obtaining the gas emission quantity of a mine on the basis of predicting gas emission sources respectively by dividing the gas sources which emit to the mine according to different time and places.
These methods cannot specify the ratio of the gas emission amount of each component source, cannot specify the instantaneous value of the gas emission amount, and do not have strong pertinence.
Disclosure of Invention
The invention aims to provide a method for predicting the gas emission amount of coal breakage based on particle size distribution, which provides scientific basis for the design of a ventilation system and the prevention and control of gas disasters in a mining area.
The method for predicting the gas emission amount of the coal breakage utilizes data of three aspects to predict the gas emission amount of the coal breakage, wherein the data comprises a function of particle size distribution (density) in the coal breakage, a relation between gas desorption strength and the diameter of coal particles, and the data of three aspects is the coal breakage quality in unit time; the provided calculation formula of the desorption amount of the coal breakage gas is based on the particle size distribution of the coal breakage, and the diameter of a sample for a distribution function is smaller than Is plotted against the total mass of the sample.
The procedure of the specific prediction method of the present invention is as follows.
1. Construction of coal particle diameter distribution Density function
The first step is as follows: sampling
Taking mass downholeTaking about 50kg of coal sample, and paying attention to the fact that the particle distribution of various particle sizes in the sample conforms to the actual situation as much as possible;
the second step is that: sieving and weighing
Screening coal samples by using sieves with the apertures of 25mm, 20mm, 15mm, 10mm, 8mm, 6mm, 5mm, 4mm, 3mm, 2mm, 1mm, 0.5mm and 0.2mm respectively, and weighing the mass of coal particles in each particle size interval;
the third step: calculating a value of a particle size distribution function
The measurement results of the second step are filled in table 1,
then calculating the particle size distribution functionValue of each point, particle size distribution functionIt has the following properties:
the results of the calculations are filled in table 2,
The coal particle size is considered to be obeyedDistribution, distribution function thereofDefined as a particle size of less thanThe ratio of the mass of the coal particles to the total mass of the sample, namely the particle size distribution function and the distribution density (function), is respectively as follows:
and
(2)
determining distribution parameters using dichotomyThe specific method comprises the following steps:
empirically determining the average diameter of the coal particlesIs taken as a value intervalAnd calculating a functional:
Get againCalculating functionalCorrespond toValue takingIf, ifThen get,(ii) a If it is notThen get,;
Repeating the above steps to obtain a sequenceIf, ifThen it can be considered asCorresponding functionalTaking the minimum value, willAsSo as to obtain a coal particle diameter distribution functionAnd distribution density function。
2. Determination of coal-dropping gas desorption strength
wherein,the original gas content of the coal;is the diameter of the coal briquette;exposure time for coal breakage;is a constant related to characteristic parameters such as coal breakage geometry and coal quality,is a constant with a time dimension set for eliminating singularity, and is usually takenThus, the average particle diameter isThe gas desorption intensity per unit mass of coal of (a) is:
taking into account that the coal is continuously collapsing, i.e.ToAll have coal caving, at the momentParticle size ofThe gas desorption amount per unit coal can be constructed based on the formula (5), that is:
the first step is as follows: determining coefficients
For the same particle sizeTaking two different time samplesAndseparately determining the residual gas contentAndthe application formula (4) is as follows:
and
from formulae (7) and (8), we obtain:
For particle diameters of respectivelyAndthe exposure time is measured asResidual gas content ofAndthe application formula (4) is as follows:
and
from formulas (10) and (11), there are obtained:
after the parameters have been determinedOn the premise of (1), the parameters can be determined by the formula (12)Namely:
3. calculation and prediction of gas emission amount caused by coal breakage
(14)
the gas desorption amount calculated by the formula (14) was used as a prediction of the coal dropping gas emission amount.
In the prediction method, the gas emission amount is predicted by convolution of a change curve of the coal dropping amount per unit time, the coal dropping particle size distribution and the desorption intensity of particles with different diameters.
Specifically, in the above-described prediction method, the parameter in the diameter distribution function is determined by the dichotomy, and the parameter of desorption intensity is determined by the residual gas content.
Detailed Description
About 50kg of coal samples are collected underground, the coal samples are respectively sieved by sieves with the hole diameters of 25mm, 20mm, 15mm, 10mm, 8mm, 6mm, 5mm, 4mm, 3mm, 2mm, 1mm, 0.5mm and 0.2mm, and the mass of coal particles with various particle diameters is respectively weighed。
Calculating the ratio of the mass of the coal particles with each particle size to the total mass of the sample And the calculation results are filled in table 3.
Calculating the particle size distribution function inValue of each point ,The calculation results are filled in table 4.
Empirically, distributing the parametersI.e. the average diameter of the coal particles is in the range of [2,10 ]]I.e., computing a functional:
correspond toThen, the value of (d) is calculated by bisectionMinimum distribution parameterThe values, calculated as shown in Table 5.
Due to the fact thatAndcorresponding functionalThe values are already the same within the accuracy of the calculation, andtherefore, the average value of the two, i.e. 7.333, can be taken as the distribution parameterAn estimate of (d). The distribution function is then:
and the distribution density function is:
for average particle diameter ofCoal sample of =2mm, exposure time was tested=20And=respectively has a residual gas content of=8.11And=3.94can find the coefficientNamely:
=0.412。
the gas content in the coal seam before exposure isFor particle diameters are respectively And=6the exposure time was determined to be Respectively has a residual gas content of3.11And=2.74after the parameters have been determinedOn the premise of (1), parameters can be determinedNamely:
to be determinedValue sumSubstituting the values into a relation between the residual gas content and the gas desorption intensity to respectively obtain:
and
the formula for calculating the gas emission caused by coal breakage comprises the following steps:
the coal dropping quality of a certain fully mechanized mining face in unit time is set as follows:
the calculation results are shown in Table 6.
Claims (4)
1. A method for predicting coal dropping gas emission quantity based on particle size distribution is characterized by comprising the following steps:
(1) construction of coal particle diameter distribution Density function
Taking a certain amount of coal samplesRespectively using a sieve with the pore diameter of 25mm, 20mm, 15mm, 10mm, 8mm, 6mm, 5mm, 4mm, 3mm,The coal samples are sieved by sieves with the diameter of 2mm, 1mm, 0.5mm and 0.2mm, and the mass of the coal particles in each particle size interval is weighed;
Calculating the mass of coal particles with each particle sizeTo the total mass of the sampleRatio of (A to B)And calculating a value of a particle size distribution function;
The coal particle size is considered to be obeyedDistribution, distribution function thereofDefined as a particle size of less thanThe ratio of the mass of the coal particles to the total mass of the sample, namely the particle size distribution function and the distribution density (function), is respectively as follows:
and
(2)
empirically determining the average diameter of the coal particlesIs taken as a value intervalAnd calculating a functional:
(3)
(5)
Get againCalculating functionalCorrespond toValue takingIf, ifThen get,(ii) a If it is notThen get,;
Repeating the above steps to obtain a sequenceIf, ifThen it can be considered asCorresponding functionalTaking the minimum value, willAsSo as to obtain a coal particle diameter distribution functionAnd distribution density function;
(2) Determination of coal-dropping gas desorption strength
wherein,the original gas content of the coal;is the diameter of the coal briquette;exposure time for coal breakage;is a constant related to characteristic parameters such as coal breakage geometry and coal quality,is a constant with a time dimension set for eliminating singularity, and is usually takenThus, the average particle diameter isThe gas desorption intensity per unit mass of coal of (a) is:
taking into account that the coal is continuously collapsing, i.e.ToAll have coal caving, at the momentParticle size ofThe gas desorption amount per unit coal can be constructed based on the formula (5), that is:
For the same particle sizeTaking two different time samplesAndseparately determining the residual gas contentAndthe application formula (6) includes:
and
from the formulae (9) and (10) to give
For particle diameters of respectivelyAndthe exposure time is measured asResidual gas content ofAndthe application formula (6) includes:
and
from formulas (12) and (13), there are obtained:
after the parameters have been determinedOn the premise that the parameters can be determined by the formula (14)Namely:
(15)
(3) calculation and prediction of gas emission amount caused by coal breakage
The mass of the coal falling in unit time is set asThe total gas desorption amount can be calculated as follows:
the gas desorption amount calculated by the formula (16) was used as a prediction of the coal dropping gas emission amount.
2. The method of claim 1, wherein the gas emission amount is predicted by convolution of a change curve of the coal emission amount per unit time, the coal particle size distribution, and desorption intensities of particles having different diameters.
3. The method of claim 1, wherein the parameters of the diameter distribution function are determined by a dichotomy method.
4. The method of claim 1, wherein the residual gas content is used to determine the desorption intensity parameter.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN104794550A (en) * | 2015-05-13 | 2015-07-22 | 山东科技大学 | WT-KPCA-SVR coupling model based gas emission quantity prediction method |
CN105092410A (en) * | 2015-07-14 | 2015-11-25 | 中煤科工集团重庆研究院有限公司 | Method and device for measuring desorption amount of large-block-size residual coal gas in goaf |
CN109779625A (en) * | 2019-01-25 | 2019-05-21 | 华北科技学院 | A method and device for outburst prediction based on size distribution of drilled coal cuttings |
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CN1845091A (en) * | 2006-05-17 | 2006-10-11 | 刘韬 | Prediction method of mine gas emission |
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104794550A (en) * | 2015-05-13 | 2015-07-22 | 山东科技大学 | WT-KPCA-SVR coupling model based gas emission quantity prediction method |
CN104794550B (en) * | 2015-05-13 | 2016-06-22 | 山东科技大学 | Forecast of Gas Emission method based on WT-KPCA-SVR coupling model |
CN105092410A (en) * | 2015-07-14 | 2015-11-25 | 中煤科工集团重庆研究院有限公司 | Method and device for measuring desorption amount of large-block-size residual coal gas in goaf |
CN105092410B (en) * | 2015-07-14 | 2017-11-10 | 中煤科工集团重庆研究院有限公司 | Method and device for measuring desorption amount of large-block-size residual coal gas in goaf |
CN109779625A (en) * | 2019-01-25 | 2019-05-21 | 华北科技学院 | A method and device for outburst prediction based on size distribution of drilled coal cuttings |
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