CN114415116A - Coal mining monitoring method and device and computer equipment - Google Patents
Coal mining monitoring method and device and computer equipment Download PDFInfo
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- CN114415116A CN114415116A CN202210089900.2A CN202210089900A CN114415116A CN 114415116 A CN114415116 A CN 114415116A CN 202210089900 A CN202210089900 A CN 202210089900A CN 114415116 A CN114415116 A CN 114415116A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/18—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using ultrasonic, sonic, or infrasonic waves
- G01S5/22—Position of source determined by co-ordinating a plurality of position lines defined by path-difference measurements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
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Abstract
The application provides a coal mining monitoring method, a coal mining monitoring device and computer equipment. The method comprises the following steps: monitoring microseismic signals corresponding to a first monitoring area, wherein the microseismic signals comprise the origin time of each microseismic source in the first monitoring area, and the observed time and the calculated time of each microseismic wave corresponding to each microseismic source, which is transmitted to each sensor in the first monitoring area; determining the micro seismic source corresponding to the minimum time residual value as a target point based on the observed arrival time and the calculated arrival time of the micro seismic waves corresponding to the micro seismic sources and transmitted to each sensor in the first monitoring area; collecting microseismic frequency and position information of a target point; and if the microseismic frequency of the target point is greater than a preset threshold value, outputting first prompt information of the coal mining super-layer. The method and the device judge the microseismic frequency of the target point through the microseismic technology, if the microseismic frequency of the target point is larger than a preset threshold value, output the first prompt information of the coal mining super-layer, are not limited by the geological conditions of the coal bed, and can realize real-time accurate monitoring of coal mining.
Description
Technical Field
The application relates to the technical field of computers, in particular to a coal mining monitoring method, a coal mining monitoring device and computer equipment.
Background
In coal mining, mining rules must be strictly followed to plan for the mining face. If the mining is out of range or over-seam, not only are a lot of economic disputes brought, but also serious potential safety hazards are brought. Therefore, monitoring coal mine boundary crossing and super-seam mining behaviors is crucial.
The current commonly used means for monitoring the boundary crossing and the super-layer exploitation comprise a drilling method, a hollow inclusion stressometer and other field actual measurement methods, and generalized back-projection coefficients, a limit balance theory and other theoretical calculation and numerical simulation methods.
The on-site actual measurement method needs to compare the monitoring points before and after mining, and because the deformation of the bottom plate has certain hysteresis relative to the advance of the working surface, the data after mining is difficult to obtain, the real-time monitoring of the deformation of the bottom plate is difficult to realize, and the defects of large engineering quantity, limited monitoring range and the like exist. The numerical simulation method not only needs field actual measurement data as a basis, but also has strong subjective factors, and a calculation result has large errors.
Therefore, due to weak geological conditions and complex geological structures of coal seams, the prior art is difficult to be generally applicable to monitoring coal mining boundary crossing or super-strata.
Disclosure of Invention
In order to solve the technical problems, the application provides a coal mining monitoring method, a coal mining monitoring device and computer equipment, and the specific scheme is as follows:
in a first aspect, an embodiment of the present application provides a coal mining monitoring method, where the coal mining monitoring method includes:
monitoring microseismic signals corresponding to a first monitoring area, wherein the microseismic signals comprise the origin time of each microseismic source in the first monitoring area, and the observed time and the calculated time of each microseismic wave corresponding to each microseismic source, which is transmitted to each sensor in the first monitoring area;
determining the micro seismic source corresponding to the minimum time residual value as a target point based on the observed time and the calculated time of the micro seismic waves corresponding to the micro seismic sources and transmitted to the sensors in the first monitoring area;
collecting microseismic frequency and position information of the target point;
and if the microseismic frequency of the target point is greater than a preset threshold value, outputting first prompt information of a coal mining super layer, wherein the first prompt information comprises the position information of the target point.
According to a specific embodiment of the present disclosure, the step of determining when the time is calculated includes:
acquiring the calculation travel time of the micro seismic waves transmitted to each sensor from the micro seismic source;
by the formula tci＝t0+tti(TiS) calculating the calculated arrival time corresponding to each sensor, wherein tciI is not less than 1, t is the calculated arrival time corresponding to the ith sensor0Is the origin time of the microseismic source, tti(TiS) is the calculated travel time, T, corresponding to the ith sensoriIs the sensor parameter of the ith sensor, and S is the source parameter of the micro seismic source.
According to a specific embodiment of the present disclosure, the step of determining the time residual value includes:
subtracting the observed time corresponding to each sensor from the calculated time corresponding to each sensor to obtain a time residual value.
According to a specific embodiment disclosed in the present application, the coal mining monitoring method further comprises:
obtaining an accumulated deformation quantity image corresponding to the second monitoring area through the synthetic aperture radar image pair corresponding to the second monitoring area, wherein the accumulated deformation quantity image comprises a plurality of deformation areas;
performing superposition analysis on a mine right graph corresponding to the second monitoring area and the accumulated deformation quantity image, wherein the mine right graph comprises a plurality of authorization areas;
if any deformation area is not completely located in the authorized area, determining the corresponding deformation area as a first target area, and outputting second prompt information of coal mining out-of-range, wherein the second prompt information comprises position information of the first target area.
According to a specific embodiment disclosed in the present application, after the step of determining the corresponding deformation region as the first target region, the coal mining monitoring method further includes:
determining each deformation area except the first target area in the accumulated deformation quantity image as a second target area;
overlapping and analyzing the mining working face corresponding to the second monitoring area and all the second target areas;
and if any one of the second target areas is not completely positioned in the mining working face, outputting third prompt information of coal mining out of bounds.
In a second aspect, an embodiment of the present application provides a coal mining monitoring device, including:
the signal monitoring module is used for monitoring microseismic signals corresponding to a first monitoring area, wherein the microseismic signals comprise the origin time of each microseismic source in the first monitoring area, and the observed time and the calculated time of each microseismic wave corresponding to each microseismic source transmitted to each sensor in the first monitoring area;
the time residual module is used for determining the micro seismic source corresponding to the minimum time residual value as a target point based on the observed time and the calculated time of the micro seismic waves corresponding to the micro seismic sources and transmitted to the sensors in the first monitoring area;
the frequency acquisition module is used for acquiring the microseismic frequency and the position information of the target point;
and the first output module is used for outputting first prompt information of a coal mining super-layer if the microseismic frequency of the target point is greater than a preset threshold, wherein the first prompt information comprises the position information of the target point.
According to a specific embodiment disclosed in the present application, the time residual module is specifically applied to:
acquiring the calculation travel time of the micro seismic waves transmitted to each sensor from the micro seismic source;
by the formula tci＝t0+tti(TiS) calculating the calculated arrival time corresponding to each sensor, wherein tciI is not less than 1, t is the calculated arrival time corresponding to the ith sensor0Is the origin time of the microseismic source, tti(TiS) is the calculated travel time, T, corresponding to the ith sensoriIs the sensor parameter of the ith sensor, and S is the source parameter of the micro seismic source.
According to a specific embodiment disclosed in the present application, the coal mining monitoring device further comprises:
the deformation accumulation module is used for obtaining an accumulated deformation quantity image corresponding to the second monitoring area through the synthetic aperture radar image pair corresponding to the second monitoring area, wherein the accumulated deformation quantity image comprises a plurality of deformation areas;
the superposition analysis module is used for carrying out superposition analysis on a mine right graph corresponding to the second monitoring area and the accumulated deformation quantity image, wherein the mine right graph comprises a plurality of authorization areas;
and the second output module is used for determining the corresponding deformation area as a first target area and outputting second prompt information of coal mining out-of-range if any deformation area is not completely in the authorized area, wherein the second prompt information comprises position information of the first target area.
Compared with the prior art, the method has the following beneficial effects:
the application provides a coal mining monitoring method, a coal mining monitoring device and computer equipment. The method comprises the following steps: monitoring microseismic signals corresponding to a first monitoring area, wherein the microseismic signals comprise the origin time of each microseismic source in the first monitoring area, and the observed time and the calculated time of each microseismic wave corresponding to each microseismic source, which is transmitted to each sensor in the first monitoring area; determining the micro seismic source corresponding to the minimum time residual value as a target point based on the observed arrival time and the calculated arrival time of the micro seismic waves corresponding to the micro seismic sources and transmitted to each sensor in the first monitoring area; collecting microseismic frequency and position information of a target point; and if the microseismic frequency of the target point is greater than a preset threshold value, outputting first prompt information of the coal mining super-layer. The target point is a point with a large vibration frequency in the first monitoring area, and indicates that the current coal mining work may exceed the original coal seam, and influences are generated on the coal seam corresponding to the first monitoring area. The application judges the microseismic frequency of the target point through the microseismic technology, if the microseismic frequency of the target point is greater than a preset threshold value, outputs the first prompt information of the coal mining super-layer, and can avoid the coal mining from being limited by the coal bed address condition through the acquisition and calculation of the sensor on the relevant data of microseismic waves, thereby realizing the effect of real-time accurate monitoring on the coal mining.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings required to be used in the embodiments will be briefly described below, and it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope of the present invention. Like components are numbered similarly in the various figures.
Fig. 1 is a schematic flow chart of a coal mining monitoring method according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of sensor layout involved in a coal mining monitoring method according to an embodiment of the present disclosure;
fig. 3 is a schematic view illustrating calculation of propagation velocity of a microseismic wave related to a coal mining monitoring method according to an embodiment of the present application;
fig. 4 is a schematic diagram illustrating a mine weight graph and an accumulated deformation amount image of a coal mining monitoring method according to an embodiment of the present application, which are subjected to superposition analysis;
fig. 5 is a block diagram of a coal mining monitoring method apparatus according to an embodiment of the present disclosure;
fig. 6 is a second block diagram of a coal mining monitoring method apparatus according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Hereinafter, the terms "including", "having", and their derivatives, which may be used in various embodiments of the present invention, are only intended to indicate specific features, numbers, steps, operations, elements, components, or combinations of the foregoing, and should not be construed as first excluding the existence of, or adding to, one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present invention belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their contextual meaning in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in various embodiments of the present invention.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a schematic flow chart of a coal mining monitoring method according to an embodiment of the present application. As shown in fig. 1, the coal mining monitoring method mainly includes:
step S101, monitoring microseismic signals corresponding to a first monitoring area, wherein the microseismic signals comprise the origin time of each microseismic source in the first monitoring area, and the observed time and the calculated time of each microseismic wave corresponding to each microseismic source, which is transmitted to each sensor in the first monitoring area.
The first monitoring zone may be any area in the coal mining process that needs to be monitored, for example, a mining face may cover different coal seams during coal mining. If a certain mining working face covers three coal seams, the three coal seams are No. 4 coal seam, No. 5 coal seam and No. 6 coal seam respectively. Wherein, the interval between No. 4 coal seam and No. 5 coal seam is 18m, and the interval between No. 5 coal seam and No. 6 coal seam is 8 m. The coal seam that plans to exploit at present is No. 6 coal seams, and at this moment, other regions except No. 6 coal seams all can be set as first monitoring area, for example No. 5 coal seams. The coal mining operation can be monitored in real time by installing a sensor, such as a microseismic instrument, on the No. 5 coal seam, and the behavior of coal mining superstrata can be proved if stratum fracture and breakage are monitored.
Referring to fig. 2, fig. 2 is a schematic diagram of sensor layout involved in a coal mining monitoring method according to an embodiment of the present application. Corresponding to the above example, the microseismic instrument can be arranged in the planned mining working face of the coal seam No. 5, a sensor is installed at a preset distance from one end along two long edges of the mining working face, and the microseismic signals monitored by the coal seam are transmitted back to the ground monitoring equipment through the data transmission equipment. In a specific implementation, the preset distance may be 100 meters. At least four microseismic instruments are generally needed for calculating the position of a seismic source, and at least 5 microseismic instruments can be distributed for the purpose of detection in order to have redundant observation, namely observation margin.
The observed time refers to the time when the microseismic wave recorded by a certain sensor reaches the sensor. The calculated arrival time is the firing time of the micro seismic source plus the time of the propagation of the micro seismic waves from the micro seismic source to the sensor. And the calculated travel time refers to the time that the microseismic wave travels from the microseismic source to the sensor.
The step of determining the calculated arrival time includes:
acquiring the calculation travel time of the micro seismic waves transmitted to each sensor from the micro seismic source;
by the formula tci＝t0+tti(TiS) calculating the calculated arrival time corresponding to each sensor, wherein tciI is not less than 1, t is the calculated arrival time corresponding to the ith sensor0Is the origin time of the microseismic source, tti(TiS) is the calculated travel time, T, corresponding to the ith sensoriIs the sensor parameter of the ith sensor, and S is the source parameter of the micro seismic source.
In order to calculate the position of the micro seismic source subsequently, the propagation speed of the micro seismic wave in the coal seam can be acquired first. Referring to fig. 3, fig. 3 is a schematic view illustrating calculation of propagation velocity of a microseismic wave involved in a coal mining monitoring method according to an embodiment of the present application. S (x)0，y0，z0，t0) And Ti(xi，yi，zi，ti) Respectively representing a micro-seismic source and an ith sensor, wherein x0，y0，z0And xi，yi，ziRepresenting the spatial coordinates of the microseismic source and the sensor, respectively, t0And tiRespectively representing the origin time of the micro-seismic source and the first arrival observation time of the waveform of the ith sensor. S (x)0，y0，z0，t0) Is a micro-seismic source manufactured in advance by people, and i sensors are arranged around the micro-seismic source. Thus, the person is aware of the spatial location of the manufactured microseismic sources and the spatial location of the surrounding sensors, and by recording the time of origin of the manufactured microseismic sources and the observations of the arrival at each sensor, the propagation of the microseismic waves in the coal seam can be resolvedAnd the speed is used for determining the spatial position of a microseismic source for generating microseisms of the coal seam caused by coal mining subsequently.
Let the calculated arrival time of the ith sensor be tciThen t isciCan be described by the formulaci＝t0+tti(TiS) in the formula, S is a seismic source parameter, and is recorded as (x)0，y0，z0，t0)T；TiFor the ith sensor parameter, note Ti＝(xi，yi，zi，ti)T，i＝1，2，…n；tti(TiAnd S) is the calculated travel time of the ith sensor.
Step S102, based on the observed time and the calculated time of the micro seismic wave corresponding to each micro seismic source transmitted to each sensor in the first monitoring area, determining the micro seismic source corresponding to the minimum time residual value as a target point.
The step of determining the time residual value comprises:
subtracting the observed time corresponding to each sensor from the calculated time corresponding to each sensor to obtain a time residual value.
In specific implementation, the difference value between the observed time and the calculated time recorded by the sensor can be recorded as a station residual error or a time residual error gammaiOf course, it may also be called station residual γiCan be expressed by the following formulai＝ti-tci＝ti-(t0+tti(TiS)). The degree of non-coincidence between the observed arrival time and the calculated arrival time of the sensors participating in positioning can be represented by a time residual, and the essence of positioning the micro seismic source is to use the micro seismic source corresponding to the minimum time residual value in the first monitoring area as a target point. The time residual values corresponding to the sensors may be calculated first, and then the minimum value may be selected from all the time residual values corresponding to all the sensors in the first monitoring region as the minimum time residual value. The smaller the time residual value is, the higher the coincidence degree between the observed arrival time and the calculated arrival time is, and the microseismic point corresponding to the minimum time residual value can be determined as the received seismic point in the first monitoring areaThe vibration affects a larger or representative point.
And step S103, acquiring microseismic frequency and position information of the target point.
Corresponding to the example in step S101, the target point refers to a qualified micro seismic source that appears in the range of the No. 5 coal seam when the No. 6 coal seam is subjected to coal mining. In this case, the target point can only explain that the coal mining work at this time has an influence on other coal seams. However, in the specific implementation, if the vibration frequency of the target point is relatively low, the influence of the target point on the number 5 coal seam can be ignored. Therefore, the microseismic frequency and the position information of the target point can be collected at the moment, and further judgment is carried out based on the microseismic frequency of the target point.
And step S104, outputting first prompt information of a coal mining super-layer if the microseismic frequency of the target point is greater than a preset threshold, wherein the first prompt information comprises the position information of the target point.
In specific implementation, the microseismic frequency of the No. 5 coal bed can be recorded when the coal mine is not exploited. And after the No. 6 coal seam is mined, continuously recording the microseismic frequency of the No. 5 coal seam, and if the microseismic frequency of the No. 5 coal seam is monitored to exceed a preset threshold value after the No. 6 coal seam is mined, determining that the super-seam mining action occurs in the mining process of the No. 6 coal seam, so that the microseismic event of the No. 5 coal seam is frequent and the coal seam is fractured. In specific implementation, the preset threshold may be 130% of the microseismic frequency corresponding to the number 5 coal seam when the number 6 coal seam is not mined, and the specific numerical value may be self-defined according to the actual use requirement and the application scenario of the user, which is not specifically limited herein.
And if the microseismic frequency of the target point is greater than a preset threshold value, outputting first prompt information of the coal mining super-layer. The first prompt information can be sent to the upper computer or the terminal equipment to which the user belongs in the form of short messages, broadcast or combination of various data, and is used for prompting the current coal mining work to have a superstrative violation. The first prompt message comprises position information of the target point. In specific implementation, the acquisition of the position information may be performed before coal mining, after the target point is determined, or after the step of determining that the microseismic frequency of the target point is greater than the preset threshold value, which is not further limited herein.
On the basis of the embodiment, according to a specific implementation manner of the application, an improved scheme is further provided, and monitoring for the out-of-range situation in the coal mining process is added compared with the implementation manner. Specifically, the coal mining monitoring method may further include:
obtaining an accumulated deformation quantity image corresponding to the second monitoring area through the synthetic aperture radar image pair corresponding to the second monitoring area, wherein the accumulated deformation quantity image comprises a plurality of deformation areas;
performing superposition analysis on a mine right graph corresponding to the second monitoring area and the accumulated deformation quantity image, wherein the mine right graph comprises a plurality of authorization areas;
and if any deformation area is not completely positioned in the authorized area, determining the corresponding deformation area as a first target area, and outputting second prompt information of coal mining out-of-range.
In particular, in the process of coal mining, in addition to the possibility of ultra-layer mining, the situation of ultra-boundary mining can also occur. The coal bed stratum disturbance caused by the over-boundary mining destroys the originally stable stress structure to cause the bending and settlement of the stratum. The accumulated deformation amount of each second monitoring area can be obtained by using a synthetic aperture radar (I nterometer I c synthetic aperture radar, I nSAR for short) technology. And integrating the accumulated deformation quantity with the coal mining working face corresponding to the second monitoring area to analyze whether the boundary-crossing mining behavior occurs. The InSAR technology has the advantages of all weather, high resolution, high precision, low cost and moderate data interval.
Preferably, as most coal mines are located in the field and a large number of high-coherence points which are uniformly distributed do not exist, the SBAS-I nSAR technology which is more suitable for the field and has less high-coherence points can be adopted. During specific implementation, free set I ne l data and required external DEM30 meter resolution data can be downloaded, and the accumulated deformation of the second monitoring area is obtained through the SBAS-I nSAR technology.
Referring to fig. 4, fig. 4 is a schematic diagram illustrating a mine weight graph and an accumulated deformation amount image related to a coal mining monitoring method according to an embodiment of the present application are subjected to overlay analysis. After the accumulated deformation amount of the second monitoring area is determined, the mine weight graph corresponding to the second monitoring area and the accumulated deformation amount image can be subjected to superposition analysis. In fig. 4, the area corresponding to the thick black line portion is the authorized area in the mine authority map corresponding to the second monitoring area, as shown in a1 in fig. 4; the shaded portion is a deformation region in the accumulated deformation amount image corresponding to the second monitored region, as shown by B1 in fig. 4. If the accumulated deformation quantity image corresponding to the second monitoring area is completely located in the mine weight image, judging that the coal mining work does not have out-of-compliance behavior of out-of-range mining; and determining the corresponding deformation area as a first target area and outputting second prompt information of coal mining out of range.
The method for performing superposition analysis on the mine weight image corresponding to the second monitoring area and the accumulated deformation quantity image determines whether the coal mining has a large-range out-of-range condition. An out-of-range situation may not be accurately displayed for a small range. Therefore, after the step of determining the corresponding deformation region as the first target region, the coal mining monitoring method further includes:
determining each deformation area except the first target area in the accumulated deformation quantity image as a second target area;
overlapping and analyzing the mining working face corresponding to the second monitoring area and all the second target areas;
and if any one of the second target areas is not completely positioned in the mining working face, outputting third prompt information of coal mining out of bounds.
In specific implementation, if the coal mining subsidence area caused by coal mining is basically in the mining right range, the condition that the subsidence area is out of the mining right range does not occur. In order to determine the coal mining subsidence of the mining face, it is possible to further analyze whether coal mining beyond the mining face occurs at each implementation stage. And determining each deformation area except the first target area in the accumulated deformation quantity image as a second target area, and outputting third prompt information of coal mining out-of-range if any second target area is not completely in the mining working surface.
The coal mining monitoring method provided by the application can monitor the frequency of events such as tiny cracking and breaking of the stratum and the position of a micro seismic source. And comparing the microseismic frequency of the coal bed which is not in the mining plan when the coal bed is not mined, and determining the current coal bed super-layer mining behavior and positioning the seismic source position of the coal bed if the microseismic frequency after mining is greater than a preset threshold value. By the aid of the InSAR time sequence observation method, the surface subsidence condition of the region to be monitored can be observed for a long time in a large range, and the surface deformation rate and the accumulated deformation quantity of the region can be acquired. Whether the ground surface settlement caused by coal mining conforms to the planned mining process and range can be identified from large range to fine range by combining the corresponding coal mine weight map and the mining working face. The method and the device are not limited by the geological conditions of the coal bed, and can realize real-time and accurate monitoring of coal mining.
In accordance with an embodiment of the method described above, and with reference to fig. 5, the present invention also provides a coal mining monitoring device 500, the coal mining monitoring device 500 comprising:
a signal monitoring module 501, configured to monitor a microseismic signal corresponding to a first monitoring area, where the microseismic signal includes an origin time of each microseismic source in the monitoring area, and an observed time and a calculated time when a microseismic wave corresponding to each microseismic source is transmitted to each sensor in the monitoring area;
a time residual module 502, configured to determine, based on the observed time and the calculated time at which the microseismic waves corresponding to each microseismic source are propagated to each sensor in the monitoring area, that the microseismic source corresponding to the smallest time residual value is a target point;
a frequency acquisition module 503, configured to acquire microseismic frequency and position information of the target point;
a first output module 504, configured to output first prompt information of a coal mining super-layer if the microseismic frequency of the target point is greater than a preset threshold, where the first prompt information includes the position information of the target point.
In particular implementation, the time residual module is specifically applied to:
acquiring the calculation travel time of the micro seismic waves transmitted to each sensor from the micro seismic source;
by the formula tci＝t0+tti(TiS) calculating the calculated arrival time corresponding to each sensor, wherein tciI is not less than 1, t is the calculated arrival time corresponding to the ith sensor0Is the origin time of the microseismic source, tti(TiS) is the calculated travel time, T, corresponding to the ith sensoriIs the sensor parameter of the ith sensor, and S is the source parameter of the micro seismic source.
Referring to fig. 6, fig. 6 is a second block diagram of a coal mining monitoring method apparatus according to an embodiment of the present invention. In specific implementation, the coal mining monitoring device 500 further includes:
a deformation accumulation module 505, configured to obtain an accumulated deformation amount image corresponding to the second monitoring area through a synthetic aperture radar image pair corresponding to the second monitoring area, where the accumulated deformation amount image includes a plurality of deformation areas;
an overlay analysis module 506, configured to perform overlay analysis on a mine right map corresponding to the second monitoring area and the accumulated deformation quantity image, where the mine right map includes a plurality of authorized areas;
and a second output module 507, configured to determine, if any one of the deformation regions is not completely located in the authorized region, the corresponding deformation region as a first target region, and output a second prompt message indicating that coal mining is out of range.
The coal mining monitoring device, the computer equipment and the computer readable storage medium provided by the application can monitor the frequency of events such as tiny cracking and breaking of a stratum and the position of a micro seismic source. And comparing the microseismic frequency of the coal bed which is not in the mining plan when the coal bed is not mined, and determining the current coal bed super-layer mining behavior and positioning the seismic source position of the coal bed if the microseismic frequency after mining is greater than a preset threshold value. By means of the InSAR technology, the surface subsidence condition of the area to be monitored can be observed for a long time in a large range, and the surface deformation rate and the accumulated deformation quantity of the area can be obtained. Whether the ground surface settlement caused by coal mining conforms to the planned mining process and range can be identified from large range to fine range by combining the corresponding coal mine weight map and the mining working face. The method and the device are not limited by the geological conditions of the coal bed, and can realize real-time and accurate monitoring of coal mining.
For specific implementation processes of the coal mining monitoring device, the computer device, and the computer-readable storage medium provided by the present application, reference may be made to the specific implementation processes of the coal mining monitoring method provided in the foregoing embodiments, which are not described in detail herein.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, each functional module or unit in each embodiment of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part of the technical solution that contributes to the prior art in essence can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention.
Claims (10)
1. A coal mining monitoring method, characterized in that the coal mining monitoring method comprises:
monitoring microseismic signals corresponding to a first monitoring area, wherein the microseismic signals comprise the origin time of each microseismic source in the first monitoring area, and the observed time and the calculated time of each microseismic wave corresponding to each microseismic source, which is transmitted to each sensor in the first monitoring area;
determining the micro seismic source corresponding to the minimum time residual value as a target point based on the observed time and the calculated time of the micro seismic waves corresponding to the micro seismic sources and transmitted to the sensors in the first monitoring area;
collecting microseismic frequency and position information of the target point;
and if the microseismic frequency of the target point is greater than a preset threshold value, outputting first prompt information of a coal mining super layer, wherein the first prompt information comprises the position information of the target point.
2. A coal mining monitoring method as claimed in claim 1 wherein the step of calculating the time of arrival determination includes:
acquiring the calculation travel time of the micro seismic waves transmitted to each sensor from the micro seismic source;
by the formula tci＝t0+tti(TiS) calculating the calculated arrival time corresponding to each sensor, wherein tciI is not less than 1, t is the calculated arrival time corresponding to the ith sensor0Is the origin time of the microseismic source, tti(TiS) is the calculated travel time, T, corresponding to the ith sensoriIs the sensor parameter of the ith sensor, and S is the source parameter of the micro seismic source.
3. A coal mining monitoring method as claimed in claim 2 wherein the step of determining the time residual value comprises:
subtracting the observed time corresponding to each sensor from the calculated time corresponding to each sensor to obtain a time residual value.
4. The coal mining monitoring method of claim 1, further comprising:
obtaining an accumulated deformation quantity image corresponding to the second monitoring area through the synthetic aperture radar image pair corresponding to the second monitoring area, wherein the accumulated deformation quantity image comprises a plurality of deformation areas;
performing superposition analysis on a mine right graph corresponding to the second monitoring area and the accumulated deformation quantity image, wherein the mine right graph comprises a plurality of authorization areas;
if any deformation area is not completely located in the authorized area, determining the corresponding deformation area as a first target area, and outputting second prompt information of coal mining out-of-range, wherein the second prompt information comprises position information of the first target area.
5. The coal mining monitoring method of claim 4, wherein after the step of determining the corresponding deformation region as the first target region, the coal mining monitoring method further comprises:
determining each deformation area except the first target area in the accumulated deformation quantity image as a second target area;
overlapping and analyzing the mining working face corresponding to the second monitoring area and all the second target areas;
and if any one of the second target areas is not completely positioned in the mining working face, outputting third prompt information of coal mining out of bounds.
6. A coal mining monitoring device, comprising:
the signal monitoring module is used for monitoring microseismic signals corresponding to a first monitoring area, wherein the microseismic signals comprise the origin time of each microseismic source in the first monitoring area, and the observed time and the calculated time of each microseismic wave corresponding to each microseismic source transmitted to each sensor in the first monitoring area;
the time residual module is used for determining the micro seismic source corresponding to the minimum time residual value as a target point based on the observed time and the calculated time of the micro seismic waves corresponding to the micro seismic sources and transmitted to the sensors in the first monitoring area;
the frequency acquisition module is used for acquiring the microseismic frequency and the position information of the target point;
and the first output module is used for outputting first prompt information of a coal mining super-layer if the microseismic frequency of the target point is greater than a preset threshold, wherein the first prompt information comprises the position information of the target point.
7. The coal mining monitoring device of claim 6, wherein the time residual module is specifically adapted to:
acquiring the calculation travel time of the micro seismic waves transmitted to each sensor from the micro seismic source;
by the formula tci＝t0+tti(TiS) calculating the calculated arrival time corresponding to each sensor, wherein tciI is not less than 1, t is the calculated arrival time corresponding to the ith sensor0Is the origin time of the microseismic source, tti(TiS) is the calculated travel time, T, corresponding to the ith sensoriIs the sensor parameter of the ith sensor, and S is the source parameter of the micro seismic source.
8. The coal mining monitoring device of claim 6, further comprising:
the deformation accumulation module is used for obtaining an accumulated deformation quantity image corresponding to the second monitoring area through the synthetic aperture radar image pair corresponding to the second monitoring area, wherein the accumulated deformation quantity image comprises a plurality of deformation areas;
the superposition analysis module is used for carrying out superposition analysis on a mine right graph corresponding to the second monitoring area and the accumulated deformation quantity image, wherein the mine right graph comprises a plurality of authorization areas;
and the second output module is used for determining the corresponding deformation area as a first target area and outputting second prompt information of coal mining out-of-range if any deformation area is not completely in the authorized area, wherein the second prompt information comprises position information of the first target area.
9. A computer arrangement, characterized in that the computer arrangement comprises a processor and a memory, the memory storing a computer program which, when executed on the processor, implements the coal mining monitoring method of any one of claims 1 to 5.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed on a processor, implements the coal mining monitoring method of any of claims 1 to 5.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114935513A (en) * | 2022-07-26 | 2022-08-23 | 四川中水成勘院工程物探检测有限公司 | Method for predicting generation and expansion of concrete dam body crack based on microseismic signal characteristics |
| CN117148434A (en) * | 2023-11-01 | 2023-12-01 | 煤炭科学研究总院有限公司 | Microseismic signal self-adaptive resolving method based on time sequence contribution graph decomposition |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114935513A (en) * | 2022-07-26 | 2022-08-23 | 四川中水成勘院工程物探检测有限公司 | Method for predicting generation and expansion of concrete dam body crack based on microseismic signal characteristics |
| CN117148434A (en) * | 2023-11-01 | 2023-12-01 | 煤炭科学研究总院有限公司 | Microseismic signal self-adaptive resolving method based on time sequence contribution graph decomposition |
| CN117148434B (en) * | 2023-11-01 | 2024-01-23 | 煤炭科学研究总院有限公司 | Microseismic signal self-adaptive resolving method based on time sequence contribution graph decomposition |
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