Cross-cycle dynamic monitoring processing method and device for coal measure strata

Abstract

The invention provides a cross-cycle dynamic monitoring processing method and device for a coal measure strata. The method comprises the following steps: determining array combinations corresponding to each measuring point taking a main micro-motion detector in a micro-motion detector array as a center; based on the array combination corresponding to each measuring point, background noise data of the detection area before recovery, during recovery and after recovery are obtained respectively; frequency dispersion curves of surface waves are extracted based on the background noise data of the detection area before recovery, during recovery and after recovery; performing inversion analysis on the frequency dispersion curve of the surface wave to obtain inversion results of all the measuring points; fitting the inversion results of all the measuring points into a three-dimensional stratigraphic structure diagram; and based on the three-dimensional stratigraphic structure diagram, geological anomalous body discrimination and monitoring are carried out, and a coal measure stratigraphic monitoring result is obtained. According to the method provided by the invention, cross-cycle dynamic monitoring of overlying strata movement information in the whole mining process can be realized, and the detection cost is greatly reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mine safety monitoring, and in particular to a method and device for cross-period dynamic monitoring and processing of coal-bearing strata, and also to an electronic device and a non-transient computer-readable storage medium. Background Art

[0002] The digital transformation and upgrading of the coal industry requires a lot of data support, but there is a lack of equipment and technology for obtaining scale strata at the mining area or working face level. As coal mining activities proceed, mining will cause changes in the velocity structure of the overburden. At the same time, goafs are formed, and the goafs will also change as the overburden moves. There is currently a lack of exploration and monitoring of the entire life cycle of the entire mining process. The changes in the overburden structure caused by mining are difficult to obtain, resulting in the lack of corresponding data on the stratum structure and abnormal mine pressure, and it is difficult to explain the reasons for the emergence of strong mine pressure from the stratum structure level.

[0003] Underground coal mining always faces safety problems caused by the migration of roof rock layers. To achieve safe mining of coal mines, it is necessary to study the abnormal problems caused by the movement of the roof, such as abnormal area diagnosis, abnormal positioning of key roof layers, etc. Therefore, it is especially necessary to master the geological information before, during and after coal mining. However, most production mines are based on drilling data. Some mining areas contain three-dimensional geological models established by high-resolution three-dimensional seismic exploration, but they are only artificial superpositions of different data bodies, without data fusion and dynamic monitoring. There is a lack of long-term dynamic monitoring of the dynamic changes of unsafe factors such as geological data and geological anomalies and the movement of overburden during the entire mining process. It cannot accurately reflect the geological state, geological structure and coal rock characteristics of coal seams throughout the life cycle (before, during and after mining), resulting in the inability to ensure operational safety. Therefore, it has become a technical problem that needs to be solved to realize the integrated detection and full life cycle monitoring of geological information before, during and after mining, obtain big data of roof geological information, and provide strong guarantees for the safe and efficient mining of coal resources. Summary of the invention

[0004] The present invention provides a method for dynamic monitoring and processing of coal-bearing strata across periods, which is used to solve the defect that the dynamic monitoring and processing scheme of coal-bearing strata across periods in the prior art has high limitations, resulting in the inability to realize integrated detection of geological information before, during and after mining and full life cycle monitoring.

[0005] The present invention provides a cross-period dynamic monitoring and processing method for coal-bearing strata, comprising: Determine the array combination corresponding to each measuring point centered on the main micro-motion detector in the micro-motion detector array; obtain the background noise data of the detection area before, during and after mining based on the array combination corresponding to each measuring point; Extracting the dispersion curve of the surface wave based on the background noise data of the detection area before, during and after mining; performing inversion analysis on the dispersion curve of the surface wave to obtain the inversion results of all the measuring points; fitting the inversion results of all the measuring points into a three-dimensional stratigraphic structure map; Based on the three-dimensional stratigraphic structure map, geological anomalies are identified and monitored to obtain coal-bearing stratigraphic monitoring results.

[0006] According to a method for cross-period dynamic monitoring and processing of coal-bearing strata provided by the present invention, the step of determining the array combination corresponding to each measuring point centered on the main micro-seismic detector in the micro-seismic detector array comprises: Determine a micromotion detector array pre-arranged for the detection area of ​​the coal-bearing strata; wherein the micromotion detector array comprises a plurality of micromotion detectors arranged according to the target spacing, and the micromotion detector array is used to collect background noise data of the detection area; the micromotion detector comprises a main micromotion detector and an auxiliary micromotion detector; Based on the layout positions of the micromotion detectors in the micromotion detector array, the micromotion detectors in the micromotion detector array are combined according to preset radius with the main micromotion detector in the micromotion detector array as the center, and the array combination corresponding to each measuring point with the main micromotion detector in the micromotion detector array as the center is determined; wherein the array combination includes a plurality of main micromotion detectors and a plurality of auxiliary micromotion detectors with the main micromotion detector as the center.

[0007] According to a cross-period dynamic monitoring and processing method for coal-bearing strata provided by the present invention, the background noise data of the detection area before, during and after mining are respectively obtained based on the array combination corresponding to each measuring point, including: Using the array combination corresponding to each measuring point, and obtaining the background noise data of the detection area before mining according to a preset time period; Using the array combination corresponding to each measuring point, and obtaining the background noise data of the detection area in the mining according to a preset time period; The array combination corresponding to each measuring point is used to obtain the background noise data of the detection area after mining according to a preset time period.

[0008] According to a cross-period dynamic monitoring and processing method for coal-bearing strata provided by the present invention, the dispersion curve of the surface wave is extracted based on the background noise data of the detection area before, during and after mining, specifically including: Based on the background noise data of the detection area before, during and after mining, respectively determine the dispersion curve of each measuring point; wherein the background noise data is the micro-motion signal in the detection area; Based on the dispersion curves of the various measuring points, a dispersion curve of the surface wave in the detection area is obtained.

[0009] According to a method for dynamic monitoring and processing of coal-bearing strata across periods provided by the present invention, the step of determining a micro-seismic detector array pre-arranged in a detection area of ​​the coal-bearing strata specifically comprises: According to the detection depth of the detection area of ​​the coal-bearing strata, the target spacing of each micro-motion detector is determined; according to the target spacing, the each micro-motion detector is arranged to obtain the micro-motion detector array arranged in the detection area for the coal-bearing strata.

[0010] According to a method for dynamic monitoring and processing of coal-bearing strata across periods provided by the present invention, the identification and monitoring of geological anomalies based on the three-dimensional stratum structure map to obtain coal-bearing stratum monitoring results includes: Slice analysis is performed on the three-dimensional stratigraphic structure map to obtain stratigraphic slices and sections at different depths within the detection area; Based on preset time intervals, the stratigraphic slices and profiles at different depths in the detection area are compared and analyzed to identify and monitor the dynamic changes of characteristic factors in the detection area and obtain coal-bearing strata monitoring results; wherein the characteristic factors include geological data and geological anomalies.

[0011] The present invention also provides a coal-bearing stratum cross-period dynamic monitoring and processing device, comprising: The monitoring data acquisition unit is used to determine the array combination corresponding to each measuring point centered on the main micro-motion detector in the micro-motion detector array; based on the array combination corresponding to each measuring point, the background noise data of the detection area before, during and after mining are respectively acquired; A monitoring data processing unit is used to extract the dispersion curve of the surface wave based on the background noise data of the detection area before, during and after mining; perform inversion analysis on the dispersion curve of the surface wave to obtain the inversion results of all the measuring points; and fit the inversion results of all the measuring points into a three-dimensional stratigraphic structure map; The abnormal data monitoring unit is used to identify and monitor geological anomalies based on the three-dimensional stratigraphic structure map to obtain coal-bearing stratigraphic monitoring results.

[0012] According to a coal-bearing stratum cross-period dynamic monitoring and processing device provided by the present invention, the determination of the array combination corresponding to each measuring point centered on the main micro-motion detector in the micro-motion detector array includes: Determine a micromotion detector array pre-arranged for the detection area of ​​the coal-bearing strata; wherein the micromotion detector array comprises a plurality of micromotion detectors arranged according to the target spacing, and the micromotion detector array is used to collect background noise data of the detection area; the micromotion detector comprises a main micromotion detector and an auxiliary micromotion detector; Based on the layout positions of the micromotion detectors in the micromotion detector array, the micromotion detectors in the micromotion detector array are combined according to preset radius with the main micromotion detector in the micromotion detector array as the center, and the array combination corresponding to each measuring point with the main micromotion detector in the micromotion detector array as the center is determined; wherein the array combination includes a plurality of main micromotion detectors and a plurality of auxiliary micromotion detectors with the main micromotion detector as the center.

[0013] According to a cross-period dynamic monitoring and processing device for coal-bearing strata provided by the present invention, the background noise data of the detection area before, during and after mining are obtained based on the array combination corresponding to each measuring point, including: Using the array combination corresponding to each measuring point, and obtaining the background noise data of the detection area before mining according to a preset time period; Using the array combination corresponding to each measuring point, and obtaining the background noise data of the detection area in the mining according to a preset time period; The array combination corresponding to each measuring point is used to obtain the background noise data of the detection area after mining according to a preset time period.

[0014] According to a cross-period dynamic monitoring and processing device for coal-bearing strata provided by the present invention, the dispersion curve of the surface wave is extracted based on the background noise data of the detection area before, during and after mining, specifically including: Based on the background noise data of the detection area before, during and after mining, respectively determine the dispersion curve of each measuring point; wherein the background noise data is the micro-motion signal in the detection area; Based on the dispersion curves of the various measuring points, a dispersion curve of the surface wave in the detection area is obtained.

[0015] According to a coal-bearing stratum cross-period dynamic monitoring and processing device provided by the present invention, the determination of the micro-seismic detector array pre-arranged in the detection area of ​​the coal-bearing stratum specifically includes: According to the detection depth of the detection area of ​​the coal-bearing strata, the target spacing of each micro-motion detector is determined; according to the target spacing, the each micro-motion detector is arranged to obtain the micro-motion detector array arranged in the detection area for the coal-bearing strata.

[0016] According to a coal-bearing stratum cross-period dynamic monitoring and processing device provided by the present invention, the geological anomaly monitoring is performed based on the three-dimensional stratum structure map to obtain the coal-bearing stratum monitoring result, including: Slice analysis is performed on the three-dimensional stratigraphic structure map to obtain stratigraphic slices and sections at different depths within the detection area; Based on preset time intervals, the stratigraphic slices and profiles at different depths in the detection area are compared and analyzed to identify and monitor the dynamic changes of characteristic factors in the detection area and obtain coal-bearing strata monitoring results; wherein the characteristic factors include geological data and geological anomalies.

[0017] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for dynamic monitoring and processing of coal-bearing strata across cycles as described in any one of the above items is implemented.

[0018] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for dynamic monitoring and processing of coal-bearing strata across periods as described in any one of the above items is implemented.

[0019] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements the cross-cycle dynamic monitoring and processing method for coal-bearing strata as described in any of the above items.

[0020] The method for dynamic monitoring and processing of coal-bearing strata across periods provided by the present invention determines the array combination corresponding to each measuring point centered on the main micro-seismic detector in the micro-seismic detector array; obtains background noise data of the detection area before, during and after mining based on the array combination corresponding to each measuring point; extracts the dispersion curve of the surface wave based on the background noise data of the detection area before, during and after mining; performs inversion analysis on the dispersion curve of the surface wave to obtain the inversion results of all measuring points; fits the inversion results of all measuring points into a three-dimensional stratigraphic structure map, and performs geological anomaly discrimination and monitoring based on the three-dimensional stratigraphic structure map to obtain the monitoring results of the coal-bearing strata; the method realizes dynamic monitoring of the overburden movement information in the whole mining process, and greatly reduces the detection cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 It is a schematic flow chart of the cross-period dynamic monitoring and processing method for coal-bearing strata provided by the present invention.

[0023] Figure 2 It is a schematic diagram of the layout of the micro-motion detector array provided by the prior art.

[0024] Figure 3 The present invention provides Schematic diagram of the results of three-dimensional stratigraphic modeling at this moment.

[0025] Figure 4 The present invention provides Schematic diagram of the results of three-dimensional stratigraphic modeling at this moment.

[0026] Figure 5 It is a schematic structural diagram of the cross-period dynamic monitoring and processing device for coal-bearing strata provided by the present invention.

[0027] Figure 6 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] The exploration cost of three-dimensional seismic is high, the cycle is long, and it is static, and it does not take into account the structural movement, instability, and changes caused by the coal mining method. A feasible solution is to continuously conduct four-dimensional seismic exploration for the entire working face, that is, to repeat the three-dimensional seismic exploration continuously as the mining process changes, which is more expensive. There is currently a lack of a fast, low-cost three-dimensional velocity modeling method for strata shallower than 1000m, and it is also capable of updating the three-dimensional velocity model as the coal mining activities proceed, turning the detection into monitoring, and taking into account the changes over time to conduct four-dimensional velocity modeling. To this end, the present invention provides a method and device for cross-cycle dynamic monitoring and processing of coal-bearing strata. The following is combined with Figure 1-Figure 6 The present invention describes the method and device for dynamic monitoring and processing of coal-bearing strata across periods, and its embodiments are described in detail.

[0030] The following is a detailed description of an embodiment of the method for dynamic monitoring and processing of coal-bearing strata across periods according to the present invention. Figure 1 As shown, it is a flow chart of the cross-period dynamic monitoring and processing method of coal-bearing strata provided by the present invention, and the specific implementation process includes the following steps: Step 101, determine the array combination corresponding to each measuring point centered on the main micro-motion detector in the micro-motion detector array; based on the array combination corresponding to each measuring point, respectively obtain the background noise data of the detection area before, during and after mining.

[0031] Specifically, the micromotion detector is a device used in micromotion detection technology to detect micromotion signals in the detection area of ​​the top plate. The micromotion detector array is a three-dimensional micromotion dense array composed of a number of main micromotion detectors and auxiliary micromotion detectors arranged in the detection area. Figure 2 As shown. The main micro-motion detector is the micro-motion detector arranged at the effective measuring points in the detection area. In order to ensure the detection depth and detection effect of all measuring points, several rows of auxiliary collection stations (i.e. auxiliary micro-motion detectors) can be arranged around the detection area. Figure 2 As shown, the inside of the box shown in 201 is the main micro-motion detector arranged at the effective measuring point. The outside of the box shown in 201 is a plurality of rows ( Figure 2 202 is an auxiliary micro-motion detector.

[0032] It should be noted that micromotion detection technology, as an important method in mining exploration technology, belongs to passive source signal, has outstanding anti-interference ability, is not restricted by various sites, and can also transform various vibration sources into its own field source to enhance the signal. Micromotion has no specific source. The vibration waves come from all directions of the observation point and carry rich information about the earth's interior. It is a complex vibration composed of various forms of waves. The micromotion signal has the characteristics of significant changes in amplitude, frequency, time and space, but still meets statistical stability within a certain time and space range. It can be described by a stationary random process, extracting the dispersion curve of the surface wave (Rayleigh wave) from the micromotion signal, and obtaining the underground velocity structure information through the inversion of the dispersion curve. Geophysical detection method.

[0033] In an embodiment of the present invention, when determining the array combination corresponding to each measuring point centered on the main micromotion detector in the micromotion detector array, it is necessary to predetermine the micromotion detector array pre-arranged for the detection area of ​​the coal formation; wherein the micromotion detector array comprises a plurality of micromotion detectors arranged according to the target spacing, and the micromotion detector array is used to collect background noise data of the detection area; the micromotion detector comprises a main micromotion detector and an auxiliary micromotion detector. Based on Figure 2The arrangement positions of the micro-motion detectors in the micro-motion detector array shown in the figure are sequentially combined according to a preset radius with the main micro-motion detector in the micro-motion detector array as the center, and the array combination corresponding to each measuring point with the main micro-motion detector in the micro-motion detector array as the center is determined. For example: when the main micro-motion detector arranged with the measuring point numbered 1 as the center, the array combination corresponding to each measuring point with the main micro-motion detector in the micro-motion detector array as the center is determined to be the micro-motion detector corresponding to the box 203, such as Figure 2 The micromotion detector shown in the figure includes a plurality of main micromotion detectors and a plurality of auxiliary micromotion detectors; when the main micromotion detector arranged at the measuring point numbered 2 is taken as the center, the array combination corresponding to each measuring point centered on the main micromotion detector in the micromotion detector array is determined as the micromotion detector corresponding to the block 204. Figure 2 The micro-motion detector shown includes a plurality of main micro-motion detectors and a plurality of auxiliary micro-motion detectors. Figure 2 The preset radius shown in is a range corresponding to three rows of micro-motion detectors.

[0034] Furthermore, the micromotion detectors in the micromotion detector array can be combined in sequence according to the number of the measuring point as the center, and the array combination corresponding to each measuring point with the main micromotion detector in the micromotion detector array as the center is determined. Finally, the main micromotion detector corresponding to each measuring point in the box 201 will be used as the center and its corresponding array combination will be determined, that is, each main micromotion detector in the box 201 will correspond to a group of array combinations, which are irregular dense array combinations, and each measuring point will form its own unique irregular dense array combination.

[0035] In addition, in the process of determining the micromotion detector array pre-deployed in the detection area for the coal-bearing strata, the target spacing of each micromotion detector can be determined according to the detection depth of the detection area for the coal-bearing strata; according to the target spacing, the each micromotion detector is deployed to obtain the micromotion detector array for the detection area for the coal-bearing strata, that is, to obtain the deployment position of each micromotion detector in the micromotion detector array for the detection area for the coal-bearing strata.

[0036] In addition, in the process of respectively obtaining the background noise data of the detection area before, during and after mining based on the array combination corresponding to each measuring point, the array combination corresponding to each measuring point can be used to obtain the background noise data of the detection area before mining according to a preset time period; the array combination corresponding to each measuring point can be used to obtain the background noise data of the detection area during mining according to a preset time period; the array combination corresponding to each measuring point can be used to obtain the background noise data of the detection area after mining according to a preset time period. The background noise data is a micro-motion signal.

[0037] In the specific implementation process, the present invention uses a dense array (i.e., a micro-motion detector array pre-deployed for the detection area of ​​the coal-bearing strata) to deploy micro-motion devices (i.e., micro-motion detectors) that can cover the entire detection area at one time in the required detection area according to the exploration depth and accuracy requirements for simultaneous acquisition. Figure 2 As shown, a detection area of ​​380m (length) × 380m (width) × 300m (depth) is designed. According to the relationship that the detection depth H is approximately equal to 3-5 times the maximum radius R, the target spacing is selected (for example, the measurement point spacing is 20m). The 400 measurement points in the box 201 are the effective measurement points of this detection area. In order to ensure the detection depth and detection effect of all measurement points, three rows of auxiliary collection stations (i.e., auxiliary micro-motion detectors) are extended around the detection area. Figure 2 The area distribution in the small circles in the boxes 203 and 204 respectively represents the measurement points involved in calculating the dispersion curves of the measurement points 1 and 2, and so on. After the measurement, if you need to continue to detect backward, keep the last 6 columns of stations, and roll the other stations to the back for deployment and continue detection.

[0038] Step 102: extracting the dispersion curve of the surface wave based on the background noise data of the detection area before, during and after mining; performing inversion analysis on the dispersion curve of the surface wave to obtain the inversion results of all the measuring points; and fitting the inversion results of all the measuring points into a three-dimensional stratigraphic structure map.

[0039] In an embodiment of the present invention, the dispersion curves of each measuring point are determined based on the background noise data of the detection area before, during and after mining, and the dispersion curves of the surface waves in the detection area are obtained based on the dispersion curves of each measuring point. Wherein, the background noise data is the micro-motion signal in the detection area. Specifically, based on the background noise data of the detection area before mining, and using the extended spatial autocorrelation method (i.e., extended SPAC, ESPAC), the dispersion curves of each measuring point before mining are calculated point by point; based on the background noise data of the detection area during mining, and using the extended spatial autocorrelation method, the dispersion curves of each measuring point during mining are calculated point by point; based on the background noise data of the detection area after mining, and using the extended spatial autocorrelation method, the dispersion curves of each measuring point after mining are calculated point by point. The extended spatial autocorrelation method (ESPAC) is an extension of the spatial autocorrelation method (SPAC), and is an extended spatial autocorrelation method that can be used for detection using an irregular dense array. In addition, the dispersion curve of the surface wave can be inverted and analyzed to obtain the inversion results of all the measuring points, and the inversion results of all the measuring points can be input into the corresponding software to fit into a three-dimensional stratigraphic structure diagram.

[0040] In the specific implementation process, after all micro-motion detectors reach the preset acquisition time, the micro-motion detectors around each micro-motion measuring point (the instrument point of the main micro-motion detector) are combined according to different radii (the radius needs to meet the exploration depth requirements), and each measuring point will form its own unique irregular dense array combination. Then, through the extended spatial autocorrelation method, the existing dispersion curve processing program can be used to calculate the dispersion curve of each measuring point point by point and invert its apparent shear wave or shear wave velocity. For example, the dispersion curve calculation of measuring point No. 1 is calculated through the background noise data collected by all micro-motion detectors in area 203. Finally, the existing three-dimensional stratigraphic structure map fitting program is used to fit the inversion results of all measuring points into a three-dimensional stratigraphic structure map. The result this time is recorded as follows Figure 3 shown The three-dimensional modeling result of the formation at the moment is the initial model. Further, in the process of real-time monitoring and imaging. The micro-seismic detector is used for long-term monitoring. According to the mining situation, for example, the interval is one day or one week, the imaging and three-dimensional modeling of the detection area are performed again according to the above specific implementation process, and so on. , , … The three-dimensional modeling results of the strata are obtained at all times to realize the exploration and monitoring of the entire life cycle of the working face before, during and after mining. Figure 4 As shown, Schematic diagram of the results of three-dimensional stratigraphic modeling at this moment.

[0041] Step 103: Perform geological anomaly monitoring based on the three-dimensional stratigraphic structure map to obtain coal-bearing stratigraphic monitoring results.

[0042] In the process of geological anomaly monitoring based on the three-dimensional stratigraphic structure map, the corresponding three-dimensional stratigraphic structure map analysis software can be used to slice and analyze the three-dimensional stratigraphic structure map to obtain stratigraphic slices and sections at different depths in the detection area; based on a preset time interval, the stratigraphic slices and sections at different depths in the detection area are compared and analyzed to identify and monitor the dynamic changes of characteristic factors in the detection area, and obtain coal-bearing stratum monitoring results. Among them, the characteristic factors include but are not limited to geological data and geological anomalies. That is, in the process of data interpretation, stratigraphic slices and sections at different depths can be made according to the three-dimensional modeling results of the strata at different times. Through before-and-after comparative analysis, the dynamic changes of unsafe factors such as geological data and geological anomalies can be effectively monitored and the abnormal mine pressure area can be diagnosed, so as to realize the dynamic monitoring of the overburden movement information in the whole mining process.

[0043] The present invention can quickly realize regional detection and three-dimensional velocity modeling of the roof through micro-motion detection imaging, can quickly perform three-dimensional velocity modeling of the strata at the hour level, and takes into account the structural movement and instability caused by the coal mining method. As the coal mining activities proceed, the model is continuously updated, and the detection is changed to monitoring to realize four-dimensional velocity modeling. The micro-motion detection method is to extract the surface wave dispersion curve from the micro-motion signal, and obtain the velocity structure of the underground medium by inverting the dispersion curve, which can quickly realize the detection and three-dimensional modeling of regional strata, avoid repeated three-dimensional seismic exploration, and greatly reduce the detection cost.

[0044] In practice, the rock composition of the top and bottom plates of coal seams varies greatly, and the control accuracy is insufficient. Even for two boreholes 500m apart, the rock properties of the top and bottom plates are quite different. It is difficult to draw a comparison map of coal and rock layers, which has a great impact on the construction of geological modeling systems. The use of coal mine micro-seismic exploration can realize exploration while mining, and use coal mining machines as seismic sources. For example, the coal mining machine seismic source has the characteristics of strong excitation energy, wide frequency band, safety, green economy, and repeatability. It can be used as a passive seismic source for micro-seismic detection while mining. Its outstanding advantages are: it gets rid of the dependence of seismic exploration on seismic sources; it avoids the trouble of stopping mining operations for seismic exploration; it can realize real-time dynamic detection and obtain massive data information. Taking the exploration of a 300m×300m area as an example, the measurement points are arranged at a spacing of 10m, and the exploration accuracy is 5m, achieving full coverage of regional information, and it is expected to generate 10G of massive data every day. The full-life cycle stratum monitoring method proposed by the present invention before, during and after mining can quickly realize the detection and long-term monitoring of regional strata in mines. Its outstanding technical advantages are: it gets rid of the dependence of seismic exploration on the earthquake source; it avoids the trouble of stopping mining operations for seismic exploration; it can realize real-time dynamic detection and obtain massive data information; it can quickly perform three-dimensional velocity modeling of strata at the hourly level, and as the coal mining activities proceed, the model is continuously updated, detection is changed to monitoring, and four-dimensional velocity modeling is realized. Compared with four-dimensional seismic, the cost is greatly reduced.

[0045] The method for dynamic monitoring and processing of coal-bearing strata across periods provided by the present invention determines the array combination corresponding to each measuring point centered on the main micro-seismic detector in the micro-seismic detector array; obtains background noise data of the detection area before, during and after mining based on the array combination corresponding to each measuring point; extracts the dispersion curve of the surface wave based on the background noise data of the detection area before, during and after mining; performs inversion analysis on the dispersion curve of the surface wave to obtain inversion results of all measuring points; fits the inversion results of all measuring points into a three-dimensional stratigraphic structure map, and performs geological anomaly monitoring based on the three-dimensional stratigraphic structure map to obtain coal-bearing strata monitoring results; it realizes dynamic monitoring of overburden movement information during the entire mining process, and greatly reduces the detection cost.

[0046] The following is a description of the cross-cycle dynamic monitoring and processing device for coal-bearing strata provided by the present invention. The cross-cycle dynamic monitoring and processing device for coal-bearing strata described below and the cross-cycle dynamic monitoring and processing method for coal-bearing strata described above can be referred to each other. Figure 5 As shown, it is a schematic diagram of the structure of the cross-cycle dynamic monitoring and processing device for coal-bearing strata provided by the present invention. The cross-cycle dynamic monitoring and processing device for coal-bearing strata of the present invention specifically includes the following parts: The monitoring data acquisition unit 501 is used to determine the array combination corresponding to each measuring point centered on the main micro-motion detector in the micro-motion detector array; based on the array combination corresponding to each measuring point, the background noise data of the detection area before, during and after mining are respectively acquired; The monitoring data processing unit 502 is used to extract the dispersion curve of the surface wave based on the background noise data of the detection area before, during and after mining; perform inversion analysis on the dispersion curve of the surface wave to obtain the inversion results of all the measuring points; and fit the inversion results of all the measuring points into a three-dimensional stratigraphic structure map; The abnormal data monitoring unit 503 is used to identify and monitor geological anomalies based on the three-dimensional stratigraphic structure map to obtain coal-bearing stratigraphic monitoring results.

[0047] According to a coal-bearing stratum cross-period dynamic monitoring and processing device provided by the present invention, the determination of the array combination corresponding to each measuring point centered on the main micro-motion detector in the micro-motion detector array includes: Determine a micromotion detector array pre-arranged for the detection area of ​​the coal-bearing strata; wherein the micromotion detector array comprises a plurality of micromotion detectors arranged according to the target spacing, and the micromotion detector array is used to collect background noise data of the detection area; the micromotion detector comprises a main micromotion detector and an auxiliary micromotion detector; Based on the layout positions of the micromotion detectors in the micromotion detector array, the micromotion detectors in the micromotion detector array are combined according to preset radius with the main micromotion detector in the micromotion detector array as the center, and the array combination corresponding to each measuring point with the main micromotion detector in the micromotion detector array as the center is determined; wherein the array combination includes a plurality of main micromotion detectors and a plurality of auxiliary micromotion detectors with the main micromotion detector as the center.

[0048] According to a cross-period dynamic monitoring and processing device for coal-bearing strata provided by the present invention, the background noise data of the detection area before, during and after mining are obtained based on the array combination corresponding to each measuring point, including: Using the array combination corresponding to each measuring point, and obtaining the background noise data of the detection area before mining according to a preset time period; Using the array combination corresponding to each measuring point, and obtaining the background noise data of the detection area in the mining according to a preset time period; The array combination corresponding to each measuring point is used to obtain the background noise data of the detection area after mining according to a preset time period.

[0049] According to a cross-period dynamic monitoring and processing device for coal-bearing strata provided by the present invention, the dispersion curve of the surface wave is extracted based on the background noise data of the detection area before, during and after mining, specifically including: Based on the background noise data of the detection area before, during and after mining, respectively determine the dispersion curve of each measuring point; wherein the background noise data is the micro-motion signal in the detection area; Based on the dispersion curves of the various measuring points, a dispersion curve of the surface wave in the detection area is obtained.

[0050] According to a coal-bearing stratum cross-period dynamic monitoring and processing device provided by the present invention, the determination of the micro-seismic detector array pre-arranged in the detection area of ​​the coal-bearing stratum specifically includes: According to the detection depth of the detection area of ​​the coal-bearing strata, the target spacing of each micro-motion detector is determined; according to the target spacing, the each micro-motion detector is arranged to obtain the micro-motion detector array arranged in the detection area for the coal-bearing strata.

[0051] According to a coal-bearing stratum cross-period dynamic monitoring and processing device provided by the present invention, the geological anomaly identification and monitoring based on the three-dimensional stratum structure map is performed to obtain coal-bearing stratum monitoring results, including: Slice analysis is performed on the three-dimensional stratigraphic structure map to obtain stratigraphic slices and sections at different depths within the detection area; Based on preset time intervals, the stratigraphic slices and profiles at different depths in the detection area are compared and analyzed to identify and monitor the dynamic changes of characteristic factors in the detection area and obtain coal-bearing strata monitoring results; wherein the characteristic factors include geological data and geological anomalies.

[0052] The cross-period dynamic monitoring and processing device for coal-bearing strata provided by the present invention determines the array combination corresponding to each measuring point centered on the main micro-seismic detector in the micro-seismic detector array; obtains the background noise data of the detection area before, during and after mining based on the array combination corresponding to each measuring point; extracts the dispersion curve of the surface wave based on the background noise data of the detection area before, during and after mining; performs inversion analysis on the dispersion curve of the surface wave to obtain the inversion results of all measuring points; fits the inversion results of all measuring points into a three-dimensional stratigraphic structure map, and performs geological anomaly discrimination and monitoring based on the three-dimensional stratigraphic structure map to obtain the coal-bearing stratum monitoring results; it realizes the dynamic monitoring of the overburden movement information in the whole mining process, and greatly reduces the detection cost.

[0053] Figure 6 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 6As shown, the electronic device (ie, electronic device) may include: a processor (processor) 601, a communication interface (Communications Interface) 604, a memory (memory) 602 and a communication bus 603, wherein the processor 601, the communication interface 604, and the memory 602 communicate with each other via the communication bus 603. The processor 601 can call the logic instructions in the memory 602 to execute a cross-period dynamic monitoring and processing method for coal-bearing strata, which method includes: determining the array combination corresponding to each measuring point centered on the main micro-seismic detector in the micro-seismic detector array; obtaining the background noise data of the detection area before, during and after mining based on the array combination corresponding to each measuring point; extracting the dispersion curve of the surface wave based on the background noise data of the detection area before, during and after mining; inverting and analyzing the dispersion curve of the surface wave to obtain the inversion results of all measuring points; fitting the inversion results of all measuring points into a three-dimensional stratigraphic structure map; and distinguishing and monitoring geological anomalies based on the three-dimensional stratigraphic structure map to obtain coal-bearing strata monitoring results.

[0054] In addition, the logic instructions in the above-mentioned memory 602 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0055] On the other hand, the present application also provides a computer program product, which includes a computer program. The computer program can be stored on a computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the cross-period dynamic monitoring and processing method for coal-bearing strata provided by the above-mentioned methods, and the method includes: determining the array combination corresponding to each measuring point centered on the main micro-seismic detector in the micro-seismic detector array; obtaining background noise data of the detection area before, during and after mining based on the array combination corresponding to each measuring point; extracting the dispersion curve of the surface wave based on the background noise data of the detection area before, during and after mining; inverting and analyzing the dispersion curve of the surface wave to obtain the inversion results of all measuring points; fitting the inversion results of all measuring points into a three-dimensional stratigraphic structure map; and performing geological anomaly identification and monitoring based on the three-dimensional stratigraphic structure map to obtain coal-bearing strata monitoring results.

[0056] On the other hand, the present application also provides a computer-readable storage medium, which includes a stored program, wherein when the program is run, the cross-period dynamic monitoring and processing method for coal-bearing strata provided by the above-mentioned methods is executed, and the method includes: determining the array combination corresponding to each measuring point centered on the main micro-seismic detector in the micro-seismic detector array; obtaining background noise data of the detection area before, during and after mining based on the array combination corresponding to each measuring point; extracting the dispersion curve of the surface wave based on the background noise data of the detection area before, during and after mining; inverting and analyzing the dispersion curve of the surface wave to obtain the inversion results of all measuring points; fitting the inversion results of all measuring points into a three-dimensional stratigraphic structure map; and performing geological anomaly identification and monitoring based on the three-dimensional stratigraphic structure map to obtain coal-bearing strata monitoring results.

[0057] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0058] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0059] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for dynamic monitoring and processing of coal-bearing strata across periods, characterized in that: include: Determine the array combination corresponding to each measuring point centered on the main micro-motion detector in the micro-motion detector array; obtain the background noise data of the detection area before, during and after mining based on the array combination corresponding to each measuring point; Extracting the dispersion curve of the surface wave based on the background noise data of the detection area before, during and after mining; performing inversion analysis on the dispersion curve of the surface wave to obtain the inversion results of all the measuring points; fitting the inversion results of all the measuring points into a three-dimensional stratigraphic structure map; Based on the three-dimensional stratigraphic structure map, geological anomalies are identified and monitored to obtain coal-bearing stratigraphic monitoring results.

2. The method for dynamic monitoring and processing of coal-bearing strata across periods according to claim 1 is characterized in that: The step of determining the array combination corresponding to each measuring point centered on the main micro-motion detector in the micro-motion detector array comprises: Determine a micromotion detector array pre-arranged for the detection area of ​​the coal-bearing strata; wherein the micromotion detector array comprises a plurality of micromotion detectors arranged according to the target spacing, and the micromotion detector array is used to collect background noise data of the detection area; the micromotion detector comprises a main micromotion detector and an auxiliary micromotion detector; Based on the layout positions of the micromotion detectors in the micromotion detector array, the micromotion detectors in the micromotion detector array are combined according to preset radius with the main micromotion detector in the micromotion detector array as the center, and the array combination corresponding to each measuring point with the main micromotion detector in the micromotion detector array as the center is determined; wherein the array combination includes a plurality of main micromotion detectors and a plurality of auxiliary micromotion detectors with the main micromotion detector as the center.

3. The method for dynamic monitoring and processing of coal-bearing strata across periods according to claim 1 is characterized in that: The background noise data of the detection area before, during and after mining are obtained based on the array combination corresponding to each measuring point, including: Using the array combination corresponding to each measuring point, and obtaining the background noise data of the detection area before mining according to a preset time period; Using the array combination corresponding to each measuring point, and obtaining the background noise data of the detection area in the mining according to a preset time period; The array combination corresponding to each measuring point is used to obtain the background noise data of the detection area after mining according to a preset time period.

4. The method for dynamic monitoring and processing of coal-bearing strata across periods according to claim 1 is characterized in that: The extracting of the dispersion curve of the surface wave based on the background noise data of the detection area before, during and after mining specifically includes: Based on the background noise data of the detection area before, during and after mining, respectively determine the dispersion curve of each measuring point; wherein the background noise data is the micro-motion signal in the detection area; Based on the dispersion curves of the various measuring points, a dispersion curve of the surface wave in the detection area is obtained.

5. The method for cross-period dynamic monitoring and processing of coal-bearing strata according to claim 2 is characterized in that: The step of determining the micro-seismic geophone array pre-arranged in the detection area of ​​the coal-bearing strata specifically includes: According to the detection depth of the detection area of ​​the coal-bearing strata, the target spacing of each micro-motion detector is determined; according to the target spacing, the each micro-motion detector is arranged to obtain the micro-motion detector array arranged in the detection area for the coal-bearing strata.

6. The method for cross-period dynamic monitoring and processing of coal-bearing strata according to claim 1 is characterized in that: The identification and monitoring of geological anomalies based on the three-dimensional stratigraphic structure map to obtain coal-bearing stratigraphic monitoring results includes: Slice analysis is performed on the three-dimensional stratigraphic structure map to obtain stratigraphic slices and sections at different depths within the detection area; Based on preset time intervals, the stratigraphic slices and profiles at different depths in the detection area are compared and analyzed to identify and monitor the dynamic changes of characteristic factors in the detection area and obtain coal-bearing strata monitoring results; wherein the characteristic factors include geological data and geological anomalies.

7. A coal-bearing stratum cross-period dynamic monitoring and processing device, characterized in that: include: The monitoring data acquisition unit is used to determine the array combination corresponding to each measuring point centered on the main micro-motion detector in the micro-motion detector array; based on the array combination corresponding to each measuring point, the background noise data of the detection area before, during and after mining are respectively acquired; A monitoring data processing unit is used to extract the dispersion curve of the surface wave based on the background noise data of the detection area before, during and after mining; perform inversion analysis on the dispersion curve of the surface wave to obtain the inversion results of all the measuring points; and fit the inversion results of all the measuring points into a three-dimensional stratigraphic structure map; The abnormal data monitoring unit is used to perform geological anomaly monitoring based on the three-dimensional stratigraphic structure map to obtain coal-bearing stratigraphic monitoring results.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, it implements the cross-cycle dynamic monitoring and processing method for coal-bearing strata as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the cross-cycle dynamic monitoring and processing method for coal-bearing strata as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, it implements the cross-cycle dynamic monitoring and processing method for coal-bearing strata as described in any one of claims 1 to 6.

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