CN115492639A - Coal roadway driving working face coal and gas outburst early warning method - Google Patents
Coal roadway driving working face coal and gas outburst early warning method Download PDFInfo
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Abstract
The coal and gas outburst early warning method for the coal roadway driving working face is a multi-level and gradual focusing early warning method which is used for carrying out comprehensive early warning on coal and gas outburst by adopting early warning, medium-term early warning, near-term early warning and instant early warning, and can realize gradual screening and identification on coal and gas outburst risks, so that the accuracy of coal and gas risk early warning is improved, and disaster loss caused by inaccurate early warning is reduced to the maximum extent.
Description
Technical Field
The invention relates to a coal mine safety detection technology, in particular to a coal and gas outburst early warning method for a coal roadway driving working face.
Background
The coal and gas outburst is a phenomenon that broken coal blocks and gas rush out coal bodies and flow to a coal mine excavation space under the action of pressure, has extremely strong destructiveness, is a power disaster frequently occurring in coal mine excavation operation, seriously threatens mine safety production, and even can cause casualties. Therefore, measures are needed to perform advanced early warning and accurate early warning on coal and gas outburst. The coal and gas outburst early warning indexes and methods are given out by coal mine safety regulations and coal and gas outburst prevention and control rules in China, an early warning mechanism is required to be established for coal and gas outburst mines, and comprehensive early warning is carried out by utilizing multivariate information.
At present, the coal and gas outburst early warning method mainly comprises the following steps: electromagnetic radiation early warning, acoustic emission early warning, infrared temperature measurement early warning, micro-seismic monitoring early warning, gas emission abnormity early warning of a driving face, comprehensive early warning of various information and the like.
According to statistics, most of coal and gas outburst events occur on a coal roadway tunneling working face. According to the actual needs of coal roadway tunneling operation, various electrical equipment needs to be arranged on a coal roadway tunneling working face, and the electrical equipment can release various signals such as electromagnetic signals, sound signals, microseismic signals and the like in the operation process. Moreover, the coal wall temperature of the coal roadway driving face is also influenced by the water seepage of the coal strata and different types of construction operation; meanwhile, different types of construction operations also affect gas emission. Therefore, the single early warning method cannot accurately identify the true source of the detected signal, and cannot accurately judge the relationship between the temperature change of the coal wall of the tunneling working face and the coal and gas outburst.
By adopting a plurality of information comprehensive early warning methods, a plurality of parameters, such as drill chip gas desorption indexes, maximum drill chip quantity, gas emission indexes, coal thickness change rate, power phenomena, whether the coal is in a structural area or not, need to be collected in real time during the excavation operation, wherein part of the parameters cannot be collected in real time, such as the drill chip gas desorption indexes, the maximum drill chip quantity and the like, and the operability needs to be improved.
Therefore, a new coal and gas outburst early warning method is explored, and the accuracy and operability of coal and gas outburst early warning of the coal roadway driving working face are ensured, so that the method is particularly urgent.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a coal and gas outburst early warning method for a coal roadway driving working face.
The technical scheme adopted by the invention is as follows:
a coal and gas outburst early warning method for a coal roadway driving working face comprises the following steps:
s1: acquiring geological parameters of a region where the coal roadway driving working face is located, wherein the geological parameters comprise gas pressure, gas content, structural stress, coal seam thickness, coal seam inclination angle, coal seam burial depth, coal firmness coefficient and initial gas diffusion speed;
s2: drawing a geological parameter-coal bed occurrence map at equal intervals of 1 meter by taking the axial direction of a coal roadway driving working face as an abscissa, and collecting the numerical value change range of the geological parameter in a sectional manner by using the ordinate of the geological parameter-coal bed occurrence map;
s3: calculating the inherent risk assessment index of coal and gas outburst by the following formula:
in the formula (I), the compound is shown in the specification,
d is an inherent risk assessment index of coal and gas outburst;
h is the coal seam burial depth, and a numerical value is obtained through geological exploration data;
σ is the structural stress;
p is the gas pressure;
w is the gas content;
delta p is the initial speed of gas diffusion;
f is the coal firmness coefficient;
m is the thickness of the coal seam,
the coal bed thickness variation rate;
alpha is the inclination angle of the coal bed,
the change rate of the dip angle of the coal seam.
Drawing a coal and gas outburst inherent risk assessment index map at equal intervals of 1 meter by taking the axial direction of a coal roadway driving face as a horizontal coordinate, and marking a green area, an orange area and a red area on the coal and gas outburst inherent risk assessment index map according to the numerical value D;
s4: and (3) calculating the intrinsic risk assessment and correction index of the coal and gas outburst by the following formula:
D＝D×k 1 ×k 2 ×k 3
in the formula (I), the compound is shown in the specification,
d' is an inherent risk assessment and correction index of coal and gas outburst;
k 1 correcting the coefficient for the coal dropping mode;
k 2 correcting the coefficient for the cyclic footage;
k 3 and correcting the coefficient for the support method.
Carrying out numerical correction on the coal and gas outburst inherent risk assessment index map, drawing a coal and gas outburst inherent risk assessment index correction map, marking a green area, an orange area and a red area on the coal and gas outburst inherent risk assessment index correction map according to the same method of the step S3, drawing an orange boundary line at the joint of the green area and the orange area, and drawing a red boundary line at the joint of the orange area and the red area;
s5: calculating the distance L between the coal roadway driving working face and the orange boundary line Orange And/or the distance L of the red border line Red wine When L is present Orange ≦ 50m and/or L Red wine When the average distance is less than or equal to 100m, starting a middle-term early warning mechanism;
s6: after the medium-term early warning mechanism is started, calculating the development trend of the prediction index data, the non-uniformity of the geological conditions and the change rate of the geological conditions of the area where the coal roadway driving working face is located, and when the development trend, the non-uniformity of the geological conditions and the change rate of the geological conditions are calculated
In the development trend of the prediction index data, when the prediction index data is not less than 0.8 times of the critical prediction index value;
or the like, or, alternatively,
in the geological condition inconsistency, the actually measured coal seam thickness, coal seam inclination angle and tectonic stress are equal to or larger than 30% in variation rate relative to the values obtained in the step S1;
or
The coefficient change rate of the thickness, the inclination angle and the firmness of the coal seam measured in two shifts of the coal roadway tunneling operation is not less than 30%;
starting a near-term early warning mechanism;
s7: after starting the recent warning mechanism, the L Orange ≦ 1m and/or L Red wine And when the distance is less than or equal to 10m, starting a real-time early warning mechanism, and utilizing a multi-information mode to early warn coal and gas outburst events.
Furthermore, the value range of D in the green area is less than or equal to 50000; the value range of D of the orange area is 50000-75000; the value range of D of the red area is more than or equal to 75000.
Further, the multiple information mode in step S7 includes:
a. predicting actual measurement data of the indexes;
b. the coal and gas outburst warning signs comprise information which can be directly sensed by human bodies, such as sound of coal blasting, spray holes, top drill, coal wall outer drum, slag falling, coal dust increase, coal wall temperature reduction, sweat hanging and the like;
c. and monitoring information of the instrument, including gas emission quantity of a working face, electromagnetic radiation, microseismic events and the like.
Further, k is 1 The value range of (A) is 0.5-1.5; k is 2 The value range of (a) is 0 to 3; k is 3 The value range of (a) is 0.8-1.5.
Furthermore, the development trend of the prediction index data is calculated by adopting a neural network algorithm.
The invention has the following beneficial effects:
the coal and gas outburst early warning method for the coal roadway driving face adopts early warning, medium-term early warning, near-term early warning and instant early warning to carry out comprehensive early warning on coal and gas outburst, is a multi-level and step-by-step focusing early warning method, can realize step-by-step screening and identification on coal and gas outburst risks, thereby improving the accuracy of coal and gas risk early warning and reducing disaster loss caused by inaccurate early warning to the maximum extent.
Drawings
FIG. 1: a schematic diagram of a coal and gas outburst early warning method;
FIG. 2: a schematic diagram of the occurrence of the coal seam;
FIG. 3: geological parameter-coal seam occurrence graph intent;
FIG. 4: a schematic diagram of an inherent risk assessment indicator diagram of coal and gas outburst;
FIG. 5: and correcting the figure of the inherent risk assessment index of the coal and gas outburst.
Detailed Description
The present invention will now be described in detail by way of example with reference to the accompanying drawings.
As shown in fig. 1 to 5, a coal and gas outburst early warning method for a coal roadway driving working face.
The method comprises early warning, medium warning, near-term warning and instant warning according to the propelling speed of the coal roadway driving face and the distance between the coal roadway driving face and a coal and gas outburst risk area in the propelling process.
The early warning is to draw a geological parameter-coal seam occurrence graphic intention by collecting or testing geological data of a region where a coal roadway driving working face is located, measure and calculate an inherent risk assessment index of coal and gas outburst and an inherent risk assessment and correction index of coal and gas outburst through a formula, and further manufacture a correction chart of the inherent risk assessment index of coal and gas outburst. The coal and gas outburst inherent risk assessment index correction graph identifies a coal and gas outburst risk distribution area of a coal roadway to-be-excavated area, gives a green risk area, an orange risk area and a red risk area to the coal and gas outburst inherent risk assessment index correction graph, and identifies an orange boundary line and a red boundary line, so that early warning is performed.
And the medium-term early warning is that the distance between the tunneling working face and a front orange boundary line and the distance between the tunneling working face and a front red boundary line are continuously calculated through the inherent risk assessment index correction chart of the coal and gas outburst along with the forward advance of the tunneling working face of the coal roadway, when the distance between the tunneling working face and the front orange boundary line reaches 50m and/or the distance between the tunneling working face and the front red boundary line reaches 100m, the working place is close to a dangerous area, and the medium-term early warning is started.
And the recent early warning is implemented according to the development trend of the prediction index data, the inconsistency of the geological conditions and the change rate of the geological conditions in the forward advancing process of the tunneling working face.
a. Predicting the development trend of index data: training and obtaining the relevance of the actually measured data of the prediction indexes and the geological conditions of the measuring places by using methods such as a neural network and the like, and calculating the prediction index data of the unearthed areas according to the relevance and the geological conditions of the unearthed areas; and when the prediction index calculation data of the area 10-50m in front of the working surface exceeds 0.8 times of the critical value, starting early warning.
b. Geological condition inconsistency: in the process of coal roadway tunneling, actually revealed geological conditions are compared with original geological conditions of data, mainly including coal seam thickness, coal seam inclination angle, tectonic stress and the like, and if the difference is gradually increased and exceeds 30%, early warning is started.
c. Geological condition change rate: the coal seam thickness, the coal seam inclination angle and the coal quality change, the data contrast of two shifts of the tunneling operation exceeds 30%, and early warning is started.
The instant early warning is the early warning which is judged and implemented according to the actually measured data of the prediction index, the prominent warning of the intuitive perception of the human body and the prominent information made by the monitoring of the instrument in the working process of the coal roadway driving working face.
The coal and gas outburst early warning method comprises the following specific steps:
s1: and acquiring geological parameters of the area where the coal roadway driving working face is located through collection or testing, wherein the geological parameters comprise gas pressure, gas content, structural stress, coal seam thickness, coal seam inclination angle, coal seam burial depth, coal firmness coefficient and initial gas diffusion speed.
S2: the method comprises the steps of obtaining coal seam thickness data of an area where a coal roadway driving working face is located through geological exploration measurement, calculating coal seam inclination angle data through coal seam floor contour lines, and drawing a coal seam occurrence diagram of the area where the coal roadway driving working face is located as shown in figure 2, so that the coal seam thickness and the coal seam inclination angle values of different positions of the area where the coal roadway driving working face is located can be accurately and quickly searched and obtained.
S3: the axial direction of the coal roadway driving face is used as an abscissa, parameters such as gas pressure, gas content, structural stress, coal firmness coefficient and gas diffusion initial speed are used as ordinates, a gas pressure change curve graph, a gas content change curve graph, a structural stress change curve graph, a coal firmness coefficient change curve graph and a gas diffusion initial speed change curve graph are drawn, the parameter change curve graphs are arranged in the same graph, and the same graph and a coal bed occurrence graph are combined to form a geological parameter-coal bed occurrence graph shown in fig. 3.
S4: calculating the inherent risk assessment index of the coal and gas outburst by the following formula:
in the formula (I), the compound is shown in the specification,
d is an inherent risk assessment index of coal and gas outburst;
h is the coal seam burial depth, and a numerical value is obtained through geological exploration data;
σ is the structural stress;
p is the gas pressure;
w is the gas content;
delta p is the initial speed of gas diffusion;
f is the coal firmness coefficient;
m is the thickness of the coal seam,
is the coal bed thickness variation rate;
alpha is the inclination angle of the coal bed,
the change rate of the dip angle of the coal seam.
And (3) drawing a coal and gas outburst inherent risk assessment index graph shown in figure 4 by taking the axial direction of the coal roadway driving working face as an abscissa and taking the coal and gas outburst inherent risk assessment index as an ordinate at equal intervals of 1 meter. Namely, calculating the inherent risk assessment index value D of coal and gas outburst at each integral multiple of 1 meter of coal roadway driving face 1 To Dn, and giving it a green color according to the value range in which the value D falls,Orange and red, and green, orange and red areas are identified on the coal and gas outburst inherent risk assessment indicator graph.
Wherein the content of the first and second substances,
the value range of the green mark is less than or equal to 50000;
the value range of the orange mark is 50000-75000;
the value range of the red mark is more than or equal to 75000.
Green, orange and red areas are marked on the coal and gas outburst inherent risk assessment indicator graph, the area before the numerical value D is the numerical value color area, for example, D1 is green, D2 is orange, and the area 1m between D1 and D2 is marked as an orange area shown by D2.
S5: and (3) calculating the intrinsic risk assessment and correction index of the coal and gas outburst by the following formula:
D’＝D×k 1 ×k 2 ×k 3
in the formula (I), the compound is shown in the specification,
d' is an inherent risk assessment and correction index of coal and gas outburst;
k 1 correcting the coefficient for the coal dropping mode;
k 2 correcting the coefficient for the cyclic footage;
k 3 the coefficients are corrected for the support method.
Wherein the content of the first and second substances,
(1) the coal dropping mode comprises hand pick, mechanical digging, blasting digging and the like, k 1 The value range of (A) is 0.5-1.5;
(2) the circulation footage is the distance of advancing the working face when a roadway driving completes a driving cycle, and is generally estimated by the shot hole depth and the shot hole utilization rate, if the hole depth is 1.6 m, and the shot hole utilization rate is 0.9, the circulation footage can reach 1.44 m, k 2 The value range of (A) is 0 to 3;
(3) the supporting method comprises U-shaped steel supporting, anchor spraying supporting, anchor cable supporting and the like, k 3 The value range of (A) is 0.8-1.5.
According to the selected k 1 、k 2 And k 3 And (4) evaluating the inherent risk assessment index map of the coal and gas outburst drawn in the step S4The numerical value correction is performed, the coal and gas outburst inherent risk assessment index correction chart shown in fig. 5 is drawn, and a green area, an orange area and a red area are marked on the coal and gas outburst inherent risk assessment index correction chart according to the same method as that in step S4. An orange boundary line is drawn where the green region and the orange region meet, and a red boundary line is drawn where the orange region and the red region meet.
S6: tracking the forward advancing progress of the coal roadway driving face, marking the advancing distance of the driving face on a coal and gas outburst inherent risk assessment index correction chart in real time, and calculating the distance L between the driving face and an orange boundary line Orange And/or distance L of red border line Red (Red) When L is present Orange ≦ 50m and/or L Red wine And when the distance between the coal roadway and the coal roadway is less than or equal to 100m, starting a middle-term early warning mechanism to remind a coal roadway tunneling operator to enter an early warning operation state so as to prevent possible coal and gas outburst events.
S7: and after a medium-term early warning mechanism is started, calculating the development trend of the prediction index data of the region where the coal roadway driving face is located, the inconsistency of the geological conditions and the change rate of the geological conditions.
(1) Predicting index data development trend
Calculating prediction index data X of an unearthed area within a distance of 10-50m in front of the advancing direction of a driving face by utilizing a neural network algorithm, wherein the prediction index data X comprises the drilling cuttings amount, drilling cuttings gas desorption indexes and the initial velocity of the gas emission of the drilling holes, and the prediction index data X and a critical value X 0 Comparing, when X ≧ 0.8X 0 Then, a near-term warning mechanism is activated, wherein X 0 The value of (a) is a critical reference value given according to national and/or industry standards.
The method comprises the following specific steps:
a. establishing a neural network algorithm, inputting actually measured index data and actually measured geological parameters of a dug area, and training the actually measured index data and the actually measured geological parameters to deduce the relevance N of the index data and the geological parameters;
b. inputting the relevance N and geological parameters of the unearthed area into a trained neural network algorithm, and calculating prediction index data X of the unearthed area;
c. the prediction index data X and the critical value X are compared 0 Comparing, when X ≧ 0.8X 0 And starting a recent early warning mechanism.
With the advance of a tunneling working face, new measured data of a excavated area are continuously input into a neural network algorithm, and are continuously retrained and reckoning, so that continuously updated and perfect relevance N is deduced, more accurate prediction index data X of an unearthed area is deduced, and the coal and gas early warning accuracy is continuously improved.
(2) Inconsistency of geological conditions
In the process of coal roadway tunneling operation, measuring and acquiring actual geological parameters of a coal roadway tunneling area, including the thickness m of a coal seam Fruit of Chinese wolfberry Coal seam inclination angle alpha Fruit of Chinese wolfberry And structural stress σ Fruit of Chinese wolfberry And the thickness m of the coal seam is measured Fruit of Chinese wolfberry Coal seam inclination angle alpha Fruit of Chinese wolfberry And structural stress sigma Fruit of Chinese wolfberry And the thickness m of the data coal seam in the step S1 Original source Coal seam inclination angle alpha Original source And structural stress sigma Original source A comparison is made.
If m Fruit of Chinese wolfberry ≧m Original source ，α Fruit of Chinese wolfberry ≧α Original source ，σ Fruit of Chinese wolfberry ≧σ Original source ；
And is
And then, the geological parameters at the moment are more favorable for the occurrence of coal and gas outburst events, and a recent early warning mechanism is started at the moment.
Here, the thickness of the coal seam may be measured using a metric ruler, the angle of inclination of the coal seam may be measured using a slope gauge, and the tectonic stress may be measured using a hydraulic fracturing method.
(3) Rate of change of geological conditions.
In the coal roadway tunneling operation process, actual geological parameters of two shifts of a coal roadway tunneling area, namely, an A shift and a B shift, are measured and obtained in real time. Wherein, A shift and B shift respectively refer to 12 hours continuous shift of coal roadway tunneling operation, and the measurement data comprises coal seam thickness m A Coal seam inclination angle alpha A And coal firmness factor f A And the thickness m of the coal seam B Coal seam inclination angle alpha B And coal firmness factor f B And the thickness m of the coal seam is measured A Coal seam inclination angle alpha A And coal firmness factor f A And the thickness m of the coal seam B Coal seam inclination angle alpha B And coal firmness factor f B A comparison is made. If the change rate of any one same geological parameter is not less than 30%, the coal and gas outburst event is facilitated, and a recent early warning mechanism is started.
S8: after a near-term early warning mechanism is started, the distance L between the tunneling work and the tunneling work surface and the orange boundary line Orange And/or distance L of red border line Red wine To reach L Orange ≦ 1m and/or L Red wine And when the distance is less than or equal to 10m, starting a real-time early warning mechanism, and utilizing a multi-information mode to early warn coal and gas outburst events.
The multi-information mode early warning comprises the following three types:
a. predicting actual measurement data of the index in the step S7;
b. the coal and gas outburst warning signs comprise information which can be directly sensed by human bodies, such as sound of coal blasting, spray holes, top drill, coal wall outer drum, slag falling, coal dust increase, coal wall temperature reduction, sweat hanging and the like;
c. the instrument monitors information including gas emission quantity, electromagnetic radiation, micro-shock and the like of the working face.
And performing instant early warning through the three early warning modes.
In the above-mentioned steps, the step of,
in the step S1, the process of the step S,
the gas pressure and the gas content can be obtained through pressure and content contour lines of a gas geological map;
the tectonic stress can be measured by a hydraulic fracturing method;
the thickness and the inclination angle of the coal bed can be obtained through a contour map of a coal bed bottom plate, the geological exploration drilling data comprises the thickness of the coal bed, and the inclination angle can be calculated according to contour lines;
the coal firmness coefficient and the initial gas diffusion speed can be sampled and measured by using the extraction drill hole of the region.
In the step S5, the process is carried out,
according to the coal and gas outburst inherent risk assessment index correction chart of the coal roadway to be excavated, in the area with high coal and gas outburst risk, when a coal dropping mode, a circulating footage mode and a supporting mode are selected, a mode with a smaller risk coefficient is selected for carrying out; on the contrary, in the area with low coal and gas outburst risk, the risk coefficient can be properly selected to be higher, thereby realizing the unification of mine safety and coal mine economic mining.
In the step S7, the process is carried out,
in the forward advancing process of the coal roadway driving working face, when any one of the development trend of the prediction index data, the inconsistency of the geological conditions and the change rate of the geological conditions exceeds the standard, a recent early warning mechanism needs to be started.
Claims (6)
1. A coal and gas outburst early warning method for a coal roadway driving working face is characterized by comprising the following steps:
s1: acquiring geological parameters of the area where the coal roadway driving face is located, wherein the geological parameters comprise gas pressure, gas content, tectonic stress, coal seam thickness, coal seam inclination angle, coal seam burial depth, coal firmness coefficient and initial gas diffusion speed;
s2: drawing a gas pressure change curve graph, a gas content change curve graph, a structural stress change curve graph, a coal firmness coefficient change curve graph and a gas diffusion initial speed change curve graph by taking the axial direction of a coal roadway driving working face as an abscissa and taking the gas pressure, the gas content, the structural stress, the coal firmness coefficient and the gas diffusion initial speed parameter as an ordinate respectively; drawing a coal seam occurrence graph by taking the axial direction of a coal roadway driving working face as a horizontal coordinate and taking the elevation of a coal seam top plate and the elevation of a bottom plate as a vertical coordinate;
s3: calculating the inherent risk assessment index of the coal and gas outburst by the following formula:
in the formula (I), the compound is shown in the specification,
d is an inherent risk assessment index of coal and gas outburst;
h is the coal seam burial depth, and a numerical value is obtained through geological exploration data;
σ is the structural stress;
p is the gas pressure;
w is the gas content;
delta p is the initial speed of gas diffusion;
f is the coal firmness coefficient;
m is the thickness of the coal seam,
the coal bed thickness variation rate;
alpha is the inclination angle of the coal bed,
the change rate of the dip angle of the coal seam.
Drawing a coal and gas outburst inherent risk assessment index map at equal intervals of 1 meter by taking the axial direction of a coal roadway driving face as a horizontal coordinate, and marking a green area, an orange area and a red area on the coal and gas outburst inherent risk assessment index map according to the numerical value D;
s4: and (3) calculating the inherent risk assessment correction index of the coal and gas outburst by the following formula:
D'＝D×k 1 ×k 2 ×k 3
in the formula (I), the compound is shown in the specification,
d' is an inherent risk assessment and correction index of coal and gas outburst;
k 1 correcting the coefficient for the coal dropping mode;
k 2 correcting the coefficient for the cyclic footage;
k 3 and correcting the coefficient for the support method.
Carrying out numerical correction on the coal and gas outburst inherent risk assessment index map, drawing a coal and gas outburst inherent risk assessment index correction map, marking a green area, an orange area and a red area on the coal and gas outburst inherent risk assessment index correction map according to the same method of the step S3, drawing an orange boundary line at the joint of the green area and the orange area, and drawing a red boundary line at the joint of the orange area and the red area;
s5: calculating the distance L between the coal roadway driving working face and the orange boundary line Orange juice And/or the distance L of said red border line Red wine When L is present Orange ≦ 50m and/or L Red wine When the distance is less than or equal to 100m, starting a middle-stage early warning mechanism;
s6: after the medium-term early warning mechanism is started, calculating the development trend of the prediction index data, the non-consistency of the geological conditions and the change rate of the geological conditions of the area where the coal roadway driving face is located, and when the development trend of the prediction index data, the non-consistency of the geological conditions and the change rate of the geological conditions are calculated
In the development trend of the prediction index data, when the prediction index data is not less than 0.8 times of the critical prediction index value;
or the like, or, alternatively,
in the geological condition inconsistency, the actually measured coal seam thickness, coal seam inclination angle and tectonic stress are equal to or larger than 30% in variation rate relative to the values obtained in the step S1;
or
The coefficient change rate of the thickness, the inclination angle and the firmness of the coal seam measured in two shifts of the coal roadway tunneling operation is not less than 30%;
starting a near-term early warning mechanism;
s7: after the recent early warning mechanism is started, the L Orange ≦ 1m and/or L Red wine And when the distance is less than or equal to 10m, starting a real-time early warning mechanism, and utilizing a multi-information mode to early warn coal and gas outburst events.
2. The coal and gas outburst early warning method for the coal roadway driving face according to claim 1, wherein the value range of D in the green area is less than or equal to 50000; the value range of D of the orange area is 50000-75000; the value range of D of the red area is more than or equal to 75000.
3. The coal and gas outburst early warning method for the coal roadway driving face according to claim 1, wherein the multiple information modes in the S7 comprise:
a. predicting actual measurement data of the indexes;
b. the coal and gas outburst warning signs comprise information which can be directly sensed by a human body through sound of a coal gun, spray holes, a top drill, coal wall external bulging, slag falling, coal dust increase, coal wall temperature reduction and perspiration;
c. and monitoring information of the instrument, including gas emission quantity of a working face, electromagnetic radiation, microseismic events and the like.
4. The coal and gas outburst early warning method for the coal roadway driving face according to claim 1,
k is the same as 1 The value range of (A) is 0.5-1.5;
k is the same as 2 The value range of (A) is 0 to 3;
k is 3 The value range of (a) is 0.8-1.5.
5. The coal and gas outburst early warning method for the coal roadway driving face according to claim 1, wherein a geological parameter change curve map is formed by the gas pressure change curve map, the gas content change curve map, the structural stress change curve map, the coal firmness coefficient change curve map and the gas diffusion initial speed change curve map in S2, and a geological parameter-coal seam occurrence map is formed by the geological parameter-coal seam occurrence map and the coal seam occurrence map.
6. The coal and gas outburst early warning method for the coal roadway driving face according to claim 1, wherein the development trend of the prediction index data is calculated by adopting a neural network algorithm.
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| CN116882548B (en) * | 2023-06-15 | 2024-05-17 | 中国矿业大学 | Tunneling roadway coal and gas outburst prediction method based on dynamic probability reasoning |
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