CN115220092A - Microseismic statistical method for determining advanced impact danger range of working face - Google Patents
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Abstract
A microseismic statistical method for determining the advance impact danger range of a working face comprises the following steps: collecting natural microseismic signals in the working face extraction process by using a mine microseismic monitoring system, and determining the position and energy of a seismic source; selecting any coordinate point on a mining engineering plane graph as a coordinate origin of a new coordinate system, drawing the new coordinate system, introducing microseismic data, obtaining coordinates of a microseismic event under the new coordinate system through a coordinate conversion formula, and obtaining an abscissa of a daily pushing position of a working surface under the new coordinate system; determining the distance of each daily microseismic event from the working surface propulsion position; and (3) counting microseismic events in a range before and after the propulsion position, dividing a counting area at equal intervals, counting total microseismic energy and frequency in each area, drawing a curve chart of total microseismic energy and frequency variation, dividing total microseismic energy and frequency danger levels, and determining the range of the advanced impact danger area. The method can determine the area range with the advance impact danger in the working face extraction period, and is high in reliability and easy to operate.
Description
Technical Field
The invention relates to a microseismic statistic method for determining the advanced impact danger range of a working face, belonging to the technical field of coal mine safety mining.
Background
The microseism monitoring method is used as a leading-edge technology in the aspect of monitoring and forecasting dynamic disasters such as impact mine pressure, and determines and analyzes the position and energy of vibration by recording the vibration spectrum of the vibration caused by mining activities. Along with the increase of the mining depth of the mine, the influence of coal rock dynamic disasters on the safe production of the mine is increasingly prominent. At present, microseismic monitoring systems are installed in more mines, particularly in dangerous mines with disasters such as rock burst and the like, so that monitoring of microseismic events of the mines is realized.
Most of the existing micro-seismic monitoring systems are complex in design and high in cost, and cannot accurately monitor the advanced impact dangerous area range during the working face recovery period.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides the microseismic statistical method for determining the advanced impact danger range of the working face, which can determine the area range with the advanced impact danger during the mining period of the working face, and has the advantages of high reliability, easy operation and low cost.
In order to achieve the above object, the present invention provides a microseismic statistical method for determining a working face advanced impact risk range, comprising the following steps:
(1) Acquiring natural micro-seismic signals in the working face extraction process by using a mine micro-seismic monitoring system, and determining a seismic source position and seismic source energy;
(2) Selecting any coordinate point A (x) on the plane drawing of the excavation project 0 ,y 0 ) Drawing a new coordinate system as the coordinate origin of the new coordinate system, and sitting the new coordinate systemThe x axis of the mark system is parallel to the propelling direction of the working surface;
(3) Introducing microseismic data, and processing the microseismic data through a coordinate conversion formula to obtain the coordinate of the microseismic event in a new coordinate system;
(4) Determining a working face propulsion starting point coordinate B, and introducing working face footage data to obtain an x coordinate of a working face daily propulsion position in a new coordinate system;
(5) Determining the moving distance of each day of microseismic event from the advancing position of the working surface;
(6) Dividing statistical regions at equal intervals along the direction of the working surface, and determining total microseismic energy and microseismic frequency in each statistical region by using cumulative addition;
(7) Drawing a variation curve graph of the total microseismic energy and the microseismic frequency by taking the moving distance from the working surface to the propelling position determined in the step (5) as an abscissa and taking the total microseismic energy and the microseismic frequency in each statistical area counted in the step (6) as an ordinate;
(8) And (4) dividing the total microseismic energy and the microseismic frequency danger level according to the total microseismic energy and microseismic frequency change curve chart obtained in the step (7) and determining the advanced impact dangerous area range.
Further, the method for determining the position of the seismic source and the energy of the seismic source in the step (1) comprises the following steps: the SOS micro-seismic monitoring system is installed in a coal mine and comprises an underground acquisition recording device and a plurality of single-component probes installed underground, the single-component probes are installed on an anchor rod perpendicular to a roadway bottom plate, the mine micro-seismic monitoring system is used for acquiring a plurality of natural mine seismic signals in the stoping process of a working face, and the natural mine seismic signals are processed to obtain the corresponding mine seismic source positions and the corresponding mine seismic source energy.
Further, the x axis of the new coordinate system drawn in the step (2) is parallel to the advancing direction of the working surface, and forms a clockwise included angle alpha with the x axis of the old coordinate system.
Further, in the step (3), the coordinate conversion formula is as follows:
x′ ij =(x ij -x o )cos(α)+(y ij -y 0 )sin(α),
y′ ij =(y ij -y 0 )cos(α)-(x ij -x o )sin(α);
in the formula, x ij 、y ij Respectively representing x and y coordinates of the j microseismic event on the ith day in an old coordinate system; alpha represents a clockwise included angle between the new coordinate and the x axis of the old coordinate system; x is the number of o 、y 0 Respectively representing x and y coordinates of a new coordinate system coordinate origin point A; x' ij 、y′ ij Representing the x, y coordinates of the j microseismic event on day i in the new coordinate system.
Further, in the step (4), the determination method of the x coordinate of the daily advancing position of the working surface in the new coordinate system is as follows: selecting a working face lower cutting hole B point as a working face advancing starting point position, introducing working face footage data, and calculating by adopting the following formula:
x′ Bi =(x B -x 0 )cos(α)+(y B -y 0 )sin(α)±L i ;
x 'in the formula' Bi Representing the advancing position of the working surface on the ith day; x is the number of B 、y B Coordinates of a point B of a lower cutting eye of the selected working surface; l is a radical of an alcohol i And (4) indicating the cumulative ruler feeding of the day i, and selecting the + calculation when the advancing direction of the working surface is consistent with the positive direction of the x axis of the new coordinate, and otherwise selecting the-calculation.
Further, in the step (5), the calculation formula of the strike distance of the daily microseismic event from the working surface propulsion position is as follows:
d ij =x′ Bi -x′ ij ;
in the formula, d ij Indicating the j microseismic event strike distance from the face advancement position on day i.
Further, in the step (6), the total microseismic energy and the microseismic frequency in each divided statistical region are calculated according to the following formula:
E n =e 1n +e 2n +e 3n +…+e mn ,
Q n =q 1n +q 2n +q 3n +…+q mn ;
in the formula, E n Is one by oneEach statistical area is the total microseismic energy in the subarea; q n The microseismic frequency in each statistical region, namely the subarea; e.g. of the type in I =1,2,3, …, m for the energy of the ith microseismic event of the nth zone; q. q.s in For the ith microseismic event for the nth zone, i =1,2,3, …, m; n is each partition number.
Further, in the step (8), the total microseismic energy and microseismic frequency danger level is determined according to the mining condition of the working face and the total microseismic energy and microseismic frequency danger standard value determined by the monitoring and early warning index.
The method comprises the steps of collecting natural microseismic signals in the working face extraction process by using a mine microseismic monitoring system, determining the position and energy of a seismic source, selecting any coordinate point on a microseismic positioning base map as the origin of coordinates of a new coordinate system, drawing the new coordinate system, introducing microseismic data, obtaining the coordinates of microseismic time under the new coordinate system through a coordinate conversion formula, obtaining the abscissa of a daily propulsion position of the working face under the new coordinate system, and determining the trend distance of a daily microseismic event from the propulsion position of the working face; and (3) carrying out statistics on microseismic events within the range before and after the propulsion position, dividing statistical areas at equal intervals, carrying out statistics to determine total microseismic energy and microseismic frequency in each divided statistical area, drawing a curve graph of total microseismic energy and microseismic frequency change, dividing total microseismic energy and microseismic frequency danger levels according to the obtained curve graph of total microseismic energy and microseismic frequency change, and determining the range of the advanced impact dangerous area. The method determines the area range with the advance impact danger during the stoping period of the working face, has high reliability, is easy to operate, and is convenient for computer programming.
Drawings
FIG. 1 is a schematic diagram of the new coordinate system of the present invention;
FIG. 2 is a diagram illustrating the partitioning of statistical regions according to an embodiment of the present invention;
FIG. 3 is a schematic illustration of a work surface propulsion operation in an embodiment of the present invention;
FIG. 4 is a graph of the total microseismic energy and the frequency of the microseisms in an embodiment of the present invention.
Detailed Description
The invention will be further explained with reference to the drawings.
A microseismic statistical method for determining the advance impact danger range of a working face comprises the following steps:
(1) Acquiring natural micro-seismic signals in the working face extraction process by using a mine micro-seismic monitoring system, and determining a seismic source position and seismic source energy;
(2) Selecting any coordinate point A (x) on the plane drawing of the excavation project 0 ,y 0 ) Drawing a new coordinate system as the coordinate origin of the new coordinate system, wherein the x axis of the new coordinate system is parallel to the propelling direction of the working surface;
(3) Introducing microseismic data, and processing the microseismic data through a coordinate conversion formula to obtain the coordinates of the microseismic event in a new coordinate system;
(4) Determining a working face propulsion starting point coordinate B, and introducing working face footage data to obtain an x coordinate of a working face daily propulsion position in a new coordinate system;
(5) Determining the moving distance between each daily microseismic event and the advancing position of the working surface;
(6) Dividing statistical regions at equal intervals along the direction of the working surface, and determining total microseismic energy and microseismic frequency in each statistical region by using cumulative addition;
(7) Drawing a variation curve graph of the total microseismic energy and the microseismic frequency by taking the moving distance from the working surface to the propelling position determined in the step (5) as an abscissa and taking the total microseismic energy and the microseismic frequency in each statistical area counted in the step (6) as an ordinate;
(8) And (4) dividing the total microseismic energy and the microseismic frequency danger level according to the total microseismic energy and microseismic frequency change curve chart obtained in the step (7) and determining the advanced impact dangerous area range.
As a preferred embodiment of the present invention, the method for determining the position and energy of the seismic source in step (1) comprises: the SOS micro-seismic monitoring system is installed in a coal mine and comprises an aboveground acquisition and recording device and a plurality of single-component probes installed underground, the single-component probes are installed on anchor rods perpendicular to a roadway bottom plate, the mine micro-seismic monitoring system is used for acquiring a plurality of natural mine seismic signals in the working face stoping process, and the natural mine seismic signals are processed to obtain the corresponding mine seismic source positions and energy thereof.
In one embodiment, the x axis of the new coordinate system drawn in step (2) is parallel to the working surface advancing direction, and has a clockwise angle α with the x axis of the old coordinate system.
Specifically, in the step (3), the coordinate conversion formula is:
x′ ij =(x ij -x o )cos(α)+(y ij -y 0 )sin(α),
y′ ij =(y ij -y 0 )cos(α)-(x ij -x o )sin(α);
in the formula, x ij 、y ij Respectively representing x and y coordinates of the j microseismic event on the ith day in an old coordinate system; alpha represents a clockwise included angle between the new coordinate and the x axis of the old coordinate system; x is the number of o 、y 0 Respectively representing x and y coordinates of a new coordinate system origin point A; x' ij 、y′ ij Representing the x, y coordinates of the j microseismic event on day i in the new coordinate system.
In a preferred embodiment, in step (4), the x coordinate of the daily advancing position of the working surface in the new coordinate system is determined by: selecting a point B of a lower cutting hole of the working face as a position of a propelling starting point of the working face, introducing the footage data of the working face, and calculating by adopting the following formula:
x′ Bi =(x B -x 0 )cos(α)+(y B -y 0 )sin(α)±L i ;
in formula (II), x' Bi Representing the working surface propelling position on the ith day; x is the number of B 、y B Coordinates of a point B of a lower cutting eye of the selected working surface; l is i And (4) indicating the cumulative footage of the ith day, and selecting a plus calculation when the advancing direction of the working face is consistent with the positive direction of the x axis of the new coordinate, otherwise selecting a minus calculation.
Specifically, in the step (5), the calculation formula of the strike distance of the daily microseismic event from the working surface propulsion position is as follows:
d ij =x′ Bi -x′ ij ;
in the formula (d) ij Indicating the j microseismic event strike distance from the face advancement position on day i.
Specifically, in the step (6), the total microseismic energy and the microseismic frequency in each divided statistical region are calculated according to the following formula:
E n =e 1n +e 2n +e 3n +…+e mn ,
Q n =q 1n +q 2n +q 3n +…+q mn ;
in the formula, E n The total microseismic energy of each statistical area, namely the subarea; q n The microseismic frequency in each statistical region, namely a subarea; e.g. of a cylinder in For the energy of the ith microseismic event of the nth partition, i =1,2,3, …, m; q. q.s in For the ith microseismic event for the nth zone, i =1,2,3, …, m; n is the number of each partition.
In a preferred embodiment, in step (8), the total microseismic energy and microseismic frequency risk level is determined according to the total microseismic energy and microseismic frequency risk standard value determined by the working face mining condition and the monitoring and early warning index.
Example (b):
(1) By installing an SOS (seismic isolation system), collecting a plurality of natural mine seismic signals in the recovery process of the 7301 working face by using a mine micro-seismic monitoring system, determining the position and energy of each natural mine seismic source by using a known processing method for each natural mine seismic signal, and obtaining 7301 working face micro-seismic data;
(2) As shown in fig. 1, a point a (20401245.1220, 3916327.9279) is selected as an origin of a new coordinate system in the microseismic location base map, an x axis of the new coordinate system is parallel to the propulsion direction of the 7301 working surface, and an included angle alpha clockwise from the horizontal direction is 28.5 degrees;
(3) Introducing '7301 working face microseismic data', and determining coordinates x 'of microseismic event in new coordinate system by using coordinate conversion formula' ij =(x ij -20401245.1220)cos(28.5°)+(y ij -3916327.9279)sin(28.5°),y′ ij =(y ij -3916327.9279)cos(28.5°)-(x ij -20401245.1220)sin(28.5°) Wherein x is ij 、y ij 7301 working surface day i the j microseismic event;
(4) Selecting a working face undercut hole B point (20402687.0159, 3917116.2743) as a working face advancing starting point;
(5) Introducing '7301 working face footage data' to determine the x coordinate of the daily working face propelling position in the new coordinate system, wherein the propelling direction of the working face is opposite to the positive direction of the x in the new coordinate system, so that the following formula is selected as a 'minus' calculation: x' Bi =(x B -x 0 )cos(α)+(y B -y 0 )sin(α)-L i =(20402687.0159-20401245.1220)cos(28.5°)+(3917116.2743-3916327.9279)sin(28.5°)-L i =1267.16+376.16-L i =1643.32-L i Wherein L is i Cumulative footage for the working face day i;
(6) As shown in fig. 2 and fig. 3, according to the distribution of microseisms, preferably counting the mineral earthquakes within 800m range before and after the 7301 working face propulsion position, dividing the strike direction into a plurality of regions at equal intervals of 10m, and counting the total energy and frequency of the mineral earthquakes in each region by using cumulative methods; the calculation formula is as follows:
E n =e 1n +e 2n +e 3n +…+e mn ,
Q n =q 1n +q 2n +q 3n +…+q mn ;
E n the unit of the total microseismic energy in each statistical area, namely the subarea, is J; q n The microseismic frequency in each statistical region, namely the subarea; e.g. of the type in The energy of the ith microseismic event of the nth zone is in units of J, i =1,2,3, …, m; q. q.s in I =1,2,3, …, m for the frequency of the ith microseismic event for the nth zone; n is the number of each partition;
(7) Drawing a variation curve graph of the total microseismic energy and the microseismic frequency by taking the distance according to the propulsion position as an abscissa, taking the total microseismic energy and the microseismic frequency in each statistical area, namely each subarea, as an ordinate and the propulsion position as an origin of coordinates, as shown in fig. 4;
(8) Combining with 7301 working face microseismic early warning index, total energy of subareas is 3 multiplied by 10 5 J energy,The frequency is 100 microseismic events as the impact risk division standard, and as can be seen from fig. 4, the 7301 working surface has impact risk in the range of 160m ahead.
Claims (8)
1. A microseismic statistical method for determining the advance impact risk range of a working face is characterized by comprising the following steps:
(1) Collecting natural microseismic signals in the working face extraction process by using a mine microseismic monitoring system, and determining the seismic source position and the seismic source energy;
(2) Selecting any coordinate point A (x) on the plane drawing of the excavation project 0 ,y 0 ) Drawing a new coordinate system as the coordinate origin of the new coordinate system, wherein the x axis of the new coordinate system is parallel to the propelling direction of the working surface;
(3) Introducing microseismic data, and processing the microseismic data through a coordinate conversion formula to obtain the coordinates of the microseismic event in a new coordinate system;
(4) Determining a working face propulsion starting point coordinate B, and introducing working face footage data to obtain an x coordinate of a working face daily propulsion position in a new coordinate system;
(5) Determining the moving distance between each daily microseismic event and the advancing position of the working surface;
(6) Dividing statistical regions at equal intervals along the direction of the working surface, and determining total microseismic energy and microseismic frequency in each statistical region by using cumulative addition;
(7) Drawing a variation curve graph of the total microseismic energy and the microseismic frequency by taking the moving distance from the working surface to the propelling position determined in the step (5) as an abscissa and taking the total microseismic energy and the microseismic frequency in each statistical area counted in the step (6) as an ordinate;
(8) And (4) dividing the total microseismic energy and the microseismic frequency danger level according to the total microseismic energy and microseismic frequency change curve chart obtained in the step (7) and determining the advanced impact dangerous area range.
2. The microseismic statistic method for determining the risk range of the leading impact of the working face as claimed in claim 1 wherein the method for determining the source position and the source energy in step (1) is: the SOS micro-seismic monitoring system is installed in a coal mine and comprises an aboveground acquisition and recording device and a plurality of single-component probes installed underground, the single-component probes are installed on anchor rods perpendicular to a roadway bottom plate, the mine micro-seismic monitoring system is used for acquiring a plurality of natural mine seismic signals in the working face stoping process, and the natural mine seismic signals are processed to obtain the corresponding mine seismic source positions and energy thereof.
3. The microseismic statistic method for determining the working surface advanced impact risk range according to claim 1 or 2 wherein the x-axis of the new coordinate system plotted in step (2) is parallel to the working surface advancing direction and has a clockwise angle α with the x-axis of the old coordinate system.
4. The microseismic statistic method for determining the risk range of the leading impact of the working surface according to claim 3 wherein in the step (3), the coordinate transformation formula is as follows:
x′ ij =(x ij -x o )cos(α)+(y ij -y 0 )sin(α),
y′ ij =(y ij -y 0 )cos(α)-(x ij -x o )sin(α);
in the formula, x ij 、y ij Respectively representing x and y coordinates of the j microseismic event on the ith day in an old coordinate system; alpha represents a clockwise included angle between the new coordinate and the x axis of the old coordinate system; x is the number of o 、y 0 Respectively representing x and y coordinates of a new coordinate system coordinate origin point A; x' ij 、y′ ij Representing the x, y coordinates of the j microseismic event on day i in the new coordinate system.
5. The microseismic statistic method for determining the working surface advanced impact risk range according to claim 4 wherein in the step (4), the x coordinate of the working surface daily thrust position in the new coordinate system is determined by: selecting a working face lower cutting hole B point as a working face advancing starting point position, introducing working face footage data, and calculating by adopting the following formula:
x′ Bi =(x B -x 0 )cos(α)+(y B -y 0 )sin(α)±L i ;
in formula (II), x' Bi Representing the advancing position of the working surface on the ith day; x is the number of B 、y B Cutting down coordinates of a point B of the hole for the selected working surface; l is i And (4) indicating the cumulative ruler feeding of the day i, and selecting the + calculation when the advancing direction of the working surface is consistent with the positive direction of the x axis of the new coordinate, and otherwise selecting the-calculation.
6. The microseismic statistic method for determining the risk range of leading impact on the working surface according to claim 5 wherein in step (5), the distance of each microseismic event from the advancing position of the working surface is calculated by the following formula:
d ij =x′ Bi -x′ ij ;
in the formula (d) ij Indicating the j microseismic event strike distance from the face advancement position on day i.
7. The microseismic statistic method for determining the risk range of the leading impact of the working face as defined in claim 6 wherein, in the step (6), the total microseismic energy and the microseismic frequency in each divided statistic region are calculated by the following formula:
E n =e 1n +e 2n +e 3n +…+e mn ,
Q n =q 1n +q 2n +q 3n +…+q mn ;
in the formula, E n The total microseismic energy of each statistical area, namely the subarea; q n The microseismic frequency in each statistical region, namely the subarea; e.g. of the type in I =1,2,3, ·, m, for the energy of the ith microseismic event of the nth zone; q. q.s in For the nth zone, the ith microseismic event, i =1,2,3, ·, m; n is each partition number.
8. The microseismic statistical method for determining the working face advanced impact risk range according to the claim 7 wherein, in the step (8), the total microseismic energy and frequency risk level is determined according to the working face mining condition and the total microseismic energy and frequency risk standard value determined by the monitoring and early warning index.
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