Monitoring and early warning method and device for coal mine rock burst appearing

Abstract

The invention relates to a monitoring and early warning method and device for coal mine rock burst display. The method comprises the following steps: acquiring ground sound frequency data and ground sound energy data of a target monitoring area in a coal mine in real time; storing the ground sound frequency data into a frequency data set, and storing the ground sound energy data into an energy data set; based on the frequency data set and the energy data set, determining a first relevance index value between the rock sound frequency and the rock sound energy interval in the current rock burst period; based on the energy data set and a plurality of preset energy intervals, determining a second relevance index value between the rock noise energy and the energy intervals in the current rock burst period; according to the first relevance index value and the second relevance index value, the danger degree of rock burst in the target monitoring area is determined, and early warning is carried out based on the danger degree. According to the scheme, the accuracy and timeliness of rock burst early warning are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mining, and in particular to a monitoring and early warning method and device for coal mine rock burst. Background Art

[0002] In the relevant technologies, real-time and effective monitoring and early warning of rock burst is a key link in the rock burst research system, and is of great significance for rock burst prevention and control. In the traditional rock burst monitoring method, the frequency and energy factors in ground sound monitoring are independently monitored, analyzed and warned. This analysis method has poor accuracy and is prone to missed reports and false reports. Summary of the invention

[0003] In order to overcome the problems existing in the related art, the present invention provides a monitoring and early warning method and device for the emergence of rock burst in coal mines.

[0004] According to a first aspect of an embodiment of the present disclosure, a method for monitoring and early warning of rock burst in a coal mine is provided, comprising:

[0005] Real-time acquisition of ground sound frequency data and ground sound energy data in the target monitoring area of ​​the coal mine;

[0006] The ground sound frequency data is stored in a frequency data set, and the ground sound energy data is stored in an energy data set; the frequency data set stores the ground sound frequency data belonging to the same rock burst cycle; the energy data set stores the ground sound energy data belonging to the same rock burst cycle;

[0007] Based on the frequency data set and the preset multiple energy intervals, determining a first correlation index value between the frequency of the ground impulse and the energy interval in the current rock burst cycle;

[0008] Based on the energy data set and a plurality of preset energy intervals, determining a second correlation index value between the sound energy and the energy interval in the current rock burst cycle;

[0009] The danger level of rock burst in the target monitoring area is determined according to the first correlation index value and the second correlation index value, and an early warning is issued based on the danger level.

[0010] In some embodiments of the present disclosure, determining a first correlation index value between the frequency of the ground impulse and the energy interval in the current ground impulse cycle based on the frequency data set and the preset multiple energy intervals includes:

[0011] Determine the geosound energy data having the same collection time node as the geosound frequency data, and determine the energy interval to which the geosound energy data belongs from the multiple energy intervals;

[0012] For each energy interval of the multiple energy intervals, calculate the sum of all ground sound frequency data associated with the energy interval to obtain a frequency accumulation value;

[0013] Generate a first distribution diagram including a mapping relationship between the frequency cumulative value and different energy intervals according to the frequency cumulative value corresponding to each energy interval;

[0014] Performing a first fitting process on the first distribution map to obtain a first fitting result; the fitting method used in the first fitting process is determined according to data distribution characteristics of the historical first distribution map of the target monitoring area when historical rock bursts occur;

[0015] A first goodness of fit is calculated based on the first fitting result to obtain the first correlation index value.

[0016] In some embodiments of the present disclosure, determining the second correlation index value between the sound energy and the energy interval in the current rock burst cycle based on the energy data set and the preset multiple energy intervals includes:

[0017] Determine the energy interval to which the geosound energy data belongs;

[0018] For each energy interval of the multiple energy intervals, calculating the sum of all ground sound energy data associated with the energy interval to obtain an energy cumulative value;

[0019] According to the energy cumulative value corresponding to each energy interval, a second distribution diagram including a mapping relationship between the energy cumulative value and different energy intervals is generated;

[0020] Performing a second fitting process on the second distribution map to obtain a second fitting result; the fitting method used in the second fitting process is determined according to the data distribution characteristics of the historical second distribution map of the target monitoring area when the historical rock burst appeared;

[0021] A second goodness of fit is calculated based on the second fitting result to obtain the second correlation index value.

[0022] In some embodiments of the present disclosure, determining the danger level of rock burst in the target monitoring area according to the first correlation index value and the second correlation index value includes:

[0023] When the first correlation index value is greater than or equal to a first preset threshold value, and the second correlation index value is greater than or equal to a second preset threshold value, obtaining a coal seam stress value in the target monitoring area, and obtaining a force value of an anchor in the target monitoring area;

[0024] The danger level is determined based on the first correlation index value, the second correlation index value, the coal seam stress value, and the force value of the anchor rod.

[0025] In some embodiments of the present disclosure, determining the danger level of rock burst in the target monitoring area according to the first correlation index value and the second correlation index value includes:

[0026] When the first correlation index value is less than a first preset threshold value, and the second correlation index value is less than a second preset threshold value, determining the risk level as no impact risk;

[0027] In the case where the first correlation index value is less than a first preset threshold and the second correlation index value is greater than or equal to a second preset threshold, or in the case where the first correlation index value is greater than or equal to the first preset threshold and the second correlation index value is less than the second preset threshold, determining the danger level as no impact danger;

[0028] When the first correlation index value is greater than or equal to a first preset threshold value, and the second correlation index value is greater than or equal to a second preset threshold value, obtaining the coal seam stress value and the anchor force value in the target monitoring area;

[0029] In the case where the coal seam stress value is less than the third preset threshold value and the anchor force value is less than the fourth preset threshold value within the preset time period, the danger level is determined to be a weak impact danger;

[0030] In the preset time period, if the coal seam stress value is less than or equal to the third preset threshold and the anchor force value is greater than the fourth preset threshold, or if the coal seam stress value is greater than the third preset threshold and the anchor force value is less than or equal to the fourth preset threshold, the risk level is determined to be a medium impact risk;

[0031] In the case where, within the preset time period, the coal seam stress value is greater than the third preset threshold and the anchor force value is greater than the fourth preset threshold, the danger level is determined to be a strong impact danger.

[0032] In some embodiments of the present disclosure, the method further includes:

[0033] In response to the first correlation index value being greater than or equal to a first preset threshold, and the second correlation index value being greater than or equal to a second preset threshold, and the value of the ground sound frequency data in the frequency data set suddenly changing from the first frequency interval to the second frequency interval, and the value of the energy frequency data in the energy data set suddenly changing from the third energy interval to the fourth energy interval, it is determined that the target monitoring area meets the first cycle end condition; wherein the threshold value in the first frequency interval is greater than the threshold value in the second frequency interval; and the threshold value in the third energy interval is greater than the threshold value in the fourth energy interval;

[0034] In response to monitoring the emergence of rock burst, determining that the target monitoring area meets the second cycle end condition;

[0035] When the target monitoring area satisfies the first cycle end condition or the second cycle end condition, determining that the current rock burst cycle ends;

[0036] Clear the data in the frequency data set and the energy data set in the current rock burst cycle respectively, so that the frequency data set stores the ground sound frequency data of the next rock burst cycle, and the energy data set stores the ground sound energy data of the next rock burst cycle, and return to execute the step of obtaining the ground sound frequency data and ground sound energy data of the target monitoring area in the coal mine.

[0037] According to a second aspect of an embodiment of the present disclosure, a monitoring and early warning device for coal mine rock burst is provided, comprising:

[0038] An acquisition unit, used for acquiring ground sound frequency data and ground sound energy data of a target monitoring area in a coal mine in real time;

[0039] A storage unit is used to store the ground sound frequency data in a frequency data set, and store the ground sound energy data in an energy data set; the frequency data set stores the ground sound frequency data belonging to the same rock burst cycle; the energy data set stores the ground sound energy data belonging to the same rock burst cycle;

[0040] A first determining unit, configured to determine a first correlation index value between the frequency of the ground impulse and the energy interval in the current rock burst cycle based on the frequency data set and a plurality of preset energy intervals;

[0041] A second determination unit is used to determine a second correlation index value between the sound energy and the energy interval in the current rock burst cycle based on the energy data set and a plurality of preset energy intervals;

[0042] An early warning unit is used to determine the danger level of rock burst in the target monitoring area according to the first correlation index value and the second correlation index value, and to issue an early warning based on the danger level.

[0043] According to a third aspect of an embodiment of the present disclosure, an electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method described in any one of the first aspects is implemented.

[0044] According to a fourth aspect of an embodiment of the present disclosure, there is provided a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method according to any one of the first aspects is implemented.

[0045] According to a fifth aspect of an embodiment of the present disclosure, a computer program product is provided, comprising a computer program, wherein the computer program implements the method as described in any one of the first aspects when executed by a processor.

[0046] The technical solution provided by the embodiments of the present disclosure may include the following beneficial effects: by acquiring the ground audio frequency data and ground audio energy data of the target monitoring area in the coal mine; storing the ground audio frequency data in the frequency data set, and storing the ground audio energy data in the energy data set; determining the first correlation index value between the ground audio frequency and the ground audio energy in the current rock burst cycle based on the frequency data set and the energy data set; determining the second correlation index value between the ground audio energy and the energy interval in the current rock burst cycle based on the energy data set and the preset multiple energy intervals; determining the danger level of rock burst in the target monitoring area according to the first correlation index value and the second correlation index value, and issuing an early warning based on the danger level. By utilizing the correlation between the ground audio frequency data and the ground audio energy data, as well as the correlation between the ground audio energy data and the energy interval, that is, according to the distribution of the ground audio energy, the risk level of rock burst is comprehensively judged, thereby improving the accuracy and timeliness of the early warning of rock burst.

[0047] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0049] Figure 1 The present invention is a flow chart of a method for monitoring and early warning of rock burst in coal mines according to an exemplary embodiment.

[0050] Figure 2It is a schematic diagram of the first fitting result proposed in the embodiment of the present disclosure.

[0051] Figure 3 Schematic diagram of the second fitting result proposed in the embodiment of the present disclosure.

[0052] Figure 4 It is a block diagram of a monitoring and early warning device for coal mine rock burst according to an exemplary embodiment.

[0053] Figure 5 It is a block diagram of a device for monitoring and early warning of rock burst in coal mines according to an exemplary embodiment. DETAILED DESCRIPTION

[0054] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0055] The terms used in the disclosed embodiments are only for the purpose of describing specific embodiments, and are not intended to limit the disclosed embodiments. The singular forms "a", "an" and "the" used in the disclosed embodiments and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0056] It should be understood that although the terms first, second, third, etc. may be used to describe various information in the disclosed embodiments, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the disclosed embodiments, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein may be interpreted as "at" or "when" or "in response to determination".

[0057] In addition, various forms of processes shown in the embodiments of the present disclosure may be used to reorder, add or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially or in different orders, as long as the desired results of the technical solution disclosed in the present disclosure can be achieved, and this document does not limit this.

[0058] Among the related technologies, rock burst is one of the world's recognized problems in the field of rock mechanics and engineering. Real-time and effective monitoring and early warning of rock burst is a key link in the rock burst research system, and is of great significance for the prevention, control and mitigation of rock burst. At present, the monitoring methods for rock burst can be divided into two categories. One is the rock mechanics method, which mainly includes drill cuttings monitoring, deformation monitoring, stress monitoring, displacement monitoring, etc.; the other is the geophysical method, which mainly includes microseismic monitoring, geoacoustic monitoring, electromagnetic radiation monitoring, seismic wave CT monitoring, etc. The rock mechanics method is simple and practical, but it has shortcomings such as poor adaptability, small monitoring range, and large manpower investment. The geophysical method has obvious advantages. Not only is the monitoring range large, the cost low, and the amount of information large, but it is also a non-contact and non-destructive monitoring, which is fast and convenient, greatly increasing the effectiveness of monitoring personnel.

[0059] Since the whole process of rock burst includes rock burst incubation, rock burst initiation and rock burst energy transmission, rock burst manifests in four stages. The monitoring medium in the first three stages is the coal rock mass deep in the tunnel surrounding rock, which is far away from the sensors arranged in the tunnel, and the monitoring signal transmission is severely attenuated, making it difficult to obtain; while in the fourth stage, the deformation (internal microcrack formation and expansion) and stress (coal seam stress and anchor force) of the tunnel surrounding rock in the local area can be directly monitored, which is more conducive to the real-time and effective monitoring and early warning of rock burst.

[0060] Geoacoustic monitoring can obtain real-time microvibration information on the incubation, generation, expansion and penetration of cracks in the process of micro-fracture to instability and destruction of coal and rock masses. It has rich precursor information and is not easily disturbed, and has gradually become the main means of monitoring rock burst. Geoacoustic monitoring and early warning of rock burst often adopt the trend method. First, the historical information of geoacoustic frequency and energy is monitored and analyzed to predict the future occurrence value, and then the difference between the predicted future occurrence value and the actual occurrence value is compared to issue an early warning. Although this early warning method has a simple algorithm model and is easy to operate, it monitors, analyzes and warns the two factors of frequency and energy in geoacoustic monitoring independently, resulting in a large number of false alarms and missed protections, and a poor early warning effect.

[0061] In order to solve the above problems, the present disclosure provides a monitoring and early warning method and device for the emergence of rock burst in coal mines, by obtaining the ground audio frequency data and ground audio energy data of the target monitoring area in the coal mine; storing the ground audio frequency data in the frequency data set, and storing the ground audio energy data in the energy data set; determining the first correlation index value between the ground audio frequency cumulative value and the ground audio energy interval in the current rock burst cycle based on the frequency data set and the energy data set; determining the second correlation index value between the ground audio energy cumulative value and the energy interval in the current rock burst cycle based on the energy data set and the preset multiple energy intervals; determining the danger level of rock burst in the target monitoring area according to the first correlation index value and the second correlation index value, and issuing an early warning based on the danger level. By utilizing the correlation between the ground audio frequency data and the ground audio energy data, as well as the correlation between the ground audio energy data and the energy interval, that is, according to the distribution of the ground audio energy, the risk level of rock burst is comprehensively judged, thereby improving the accuracy and timeliness of the early warning of rock burst.

[0062] Figure 1 FIG. 1 is a flow chart showing a method for monitoring and early warning of rock burst in a coal mine according to an exemplary embodiment. Figure 1 As shown, it should be noted that the monitoring and early warning method for the emergence of rock burst in coal mines according to the embodiment of the present disclosure is applied to the monitoring and early warning device for the emergence of rock burst in coal mines. Figure 1 As shown, the method may include the following steps:

[0063] Step 101, obtaining the ground sound frequency data and ground sound energy data of the target monitoring area in the coal mine in real time.

[0064] In one embodiment, the ground sound frequency data and the ground sound energy data may be collected at a preset frequency. In addition, the collection frequencies of the ground sound frequency data and the ground sound energy data may be the same.

[0065] As an example, a geophone probe may be installed behind a coal mining working face to obtain geophone frequency data and geophone energy data.

[0066] Step 102, storing the ground sound frequency data into a frequency data set, and storing the ground sound energy data into an energy data set.

[0067] The frequency data set stores the ground sound frequency data belonging to the same rock burst cycle; the energy data set stores the ground sound energy data belonging to the same rock burst cycle.

[0068] It should be noted that the generation of rock burst is a periodic phenomenon. A cycle of rock burst (also known as the rock burst cycle) includes four stages: rock burst incubation, rock burst initiation, rock burst energy transfer, and rock burst manifestation.

[0069] It is understandable that during the mining process of the underground working face of the coal mine, the stable state of the stress field is destroyed. During the process of the stress field returning to balance, the energy changes. The uneven and rapid release of energy during the change process leads to rock burst. In addition, the energy change process is accompanied by the formation and development of microcracks in the coal rock body. The rapid penetration of microcracks will form large cracks.

[0070] In one embodiment, the frequency data set is updated using the collected ground sound frequency data, and the energy data set is updated using the collected ground sound energy data.

[0071] For example, as of the current monitoring time node T N The frequency data sets are FT0, FT1, FT2, FT3, ..., FT N , as of the current time node T N The energy data set is ET0, ET1, ET2, ET3, ..., ET N .

[0072] It can be understood that the ground sound frequency data in the frequency data set are stored in sequence according to the time of collection, and the ground sound energy data in the energy data set are stored in sequence according to the time of collection.

[0073] In one embodiment, the frequency data set may store all ground audio frequency data collected during the current rock burst cycle, and the data collection time corresponding to each ground audio frequency data.

[0074] Step 103: Determine a first correlation index value between the frequency of the ground impulse and the energy interval in the current rock burst cycle based on the frequency data set and a plurality of preset energy intervals.

[0075] It should be noted that in the process of energy accumulation and transfer inside the coal and rock mass until it is released, which eventually leads to rock burst, as time goes by, the cumulative values ​​of the ground audio frequencies in different energy intervals and the energy intervals will show a regular correlation (according to mechanical experiments and theoretical analysis, as time goes by, before the rock burst appears, as the energy interval increases, the cumulative values ​​of the ground audio frequencies associated with different energy intervals first increase and then decrease, and the shape is similar to a parabola with an upward opening (i.e., a smooth Λ-type).

[0076] It should be emphasized that a single ground sound event has two monitoring values, frequency and energy, and there is no absolute correlation between the frequency and energy in a single event. The correlation analysis in the present disclosure is to analyze the frequency values ​​and energy values ​​of all ground sound events monitored within a rock burst cycle, and has nothing to do with the change of ground sound frequency data over time. Therefore, within the same rock burst cycle, based on the distribution characteristics of the ground sound frequency relative to different energy intervals, the collected ground sound frequency data and ground sound energy data can be regressed for correlation. The stronger the correlation, the closer the change characteristics of the ground sound cumulative frequency data and the ground sound energy data are to the change characteristics when rock burst occurs, that is, the greater the danger of rock burst in the target monitoring area. In one embodiment, the first correlation index value between the ground sound frequency and the ground sound energy in the current rock burst cycle can be determined to evaluate the degree of correlation between the ground sound frequency data and the ground sound energy data.

[0077] In some embodiments of the present disclosure, step 103 may specifically include the following steps:

[0078] Step a1, determining the ground sound energy data having the same collection time node as the ground sound frequency data, and determining the energy interval to which the ground sound energy data belongs from the multiple energy intervals.

[0079] In one embodiment, the ground sound energy data having the same collection time node as the ground sound frequency data currently acquired in real time can be determined, and the energy interval to which the ground sound energy data belongs can be determined from the multiple energy intervals, thereby determining the correlation between the ground sound frequency data and the energy interval.

[0080] Step a2: for each energy interval in the multiple energy intervals, calculate the sum of all ground sound frequency data associated with the energy interval to obtain a frequency accumulation value.

[0081] In one embodiment, after determining the correlation between the ground audio frequency data and the energy interval in step a1, the sum of all ground audio frequency data associated with each energy interval in the current rock burst cycle can be calculated to obtain the frequency accumulation value corresponding to each energy interval.

[0082] Step a3: generating a first distribution diagram including a mapping relationship between frequency cumulative values ​​and different energy intervals according to the frequency cumulative values ​​corresponding to each energy interval.

[0083] In one embodiment, the energy interval can be used as the horizontal axis and the frequency cumulative value can be used as the vertical axis. The horizontal and vertical coordinates can be determined based on the frequency cumulative value and the target energy interval of the same acquisition time node (that is, the horizontal coordinate is determined according to the target energy interval, and the vertical coordinate is determined according to the ground sound frequency cumulative value), thereby obtaining a set of multiple mapping relationship points in the first distribution diagram.

[0084] Step a4: performing a first fitting process on the first distribution graph to obtain a first fitting result.

[0085] The fitting method used in the first fitting process is determined according to the data distribution characteristics of the historical first distribution map of the target monitoring area when historical rock burst pressure appeared.

[0086] As a possible implementation method, a first fitting method that meets the shape characteristic requirements can be determined based on the shape characteristics of the distribution of the cumulative values ​​of ground audio frequencies in historical impact rock pressure events in the target monitoring area relative to different energy intervals, and a first fitting process is performed on the first distribution map according to the first fitting method to obtain a first fitting result.

[0087] For example, the shape characteristics of the distribution of the cumulative value of ground sound frequency in the historical rock burst events in the target monitoring area relative to different energy intervals are: as the energy interval value increases, the cumulative value of the frequency first increases and then decreases, forming a parabola with an opening pointing downward. Therefore, the first fitting process can be performed by using a quadratic function model (the quadratic term coefficient is negative) regression fitting method, and the following is obtained: Figure 2 The first fitting result is shown.

[0088] Step a5: Calculate a first goodness of fit based on the first fitting result to obtain the first correlation index value.

[0089] In the embodiment of the present disclosure, the goodness of fit F can be calculated based on the first fitting result. EF , goodness of fit refers to the degree of fitting to the data, F EF The larger it is, the greater the correlation between the frequency accumulation value and the energy interval.

[0090] Among them, F EF The value range can be between -1 and 1.

[0091] In some embodiments, if no fitting method that meets the shape feature requirements of the above-mentioned multiple mapping relationship points is matched, the early warning operation of the present disclosure is stopped.

[0092] Step 104: Determine a second correlation index value between the accumulated value of the ground sound energy and the energy interval in the current rock burst cycle based on the energy data set and a plurality of preset energy intervals.

[0093] It should be noted that in the process of energy accumulation and transfer inside the coal and rock mass until it is suddenly released and causes the impact rock pressure to appear, as time goes by, the cumulative values ​​of the ground sound energy in different energy intervals and the energy interval will show a regular correlation (according to mechanical experiments and theoretical analysis, as time goes by, before the impact rock pressure appears, as the energy interval increases, the cumulative values ​​of the ground sound energy in different energy intervals will first increase steadily and slowly, and then increase sharply in a linear manner).

[0094] It should be emphasized that a single geosound event has two monitoring values, frequency and energy, and there is no absolute correlation between frequency and energy in a single event. The correlation analysis in this disclosure is to analyze the frequency and energy values ​​of all geosound events monitored within a rock burst cycle. It has nothing to do with the change of geoenergy data over time.

[0095] It is understandable that the occurrence of rock burst requires a process. Assuming that starting from the time node t0, the initial stress environment is destroyed, and the energy will undergo a series of dynamic changes such as accumulation, diffusion, transfer, accumulation, and release. In other words, the change of energy is a continuous process in a spatial area until a certain moment. Due to the incoordination of the deformation of the coal and rock mass in the spatial medium and the imbalance of energy transfer and release in time, the energy is released sharply, causing rock burst to appear. At this time, the time node is t1, and t0-t1 is a rock burst cycle.

[0096] Therefore, within a rock burst cycle, the cumulative value of the ground sound energy and the corresponding energy interval can be regressed for correlation based on the distribution law of the cumulative value of the ground sound energy relative to the ground sound energy interval. The stronger the correlation, the closer the change characteristics of the ground sound energy relative to different energy intervals are to the change characteristics when the rock burst appears, that is, the greater the danger of the rock burst in the target monitoring area. In one embodiment, a second correlation index value between the cumulative value of the ground sound energy and the energy interval in the current rock burst cycle can be determined to evaluate the degree of correlation between the ground sound energy data and the energy interval.

[0097] In some embodiments of the present disclosure, step 104 may specifically include the following steps:

[0098] Step b1, determining the energy interval to which the ground sound energy data belongs.

[0099] Step b2: for each energy interval in the multiple energy intervals, calculate the sum of all ground sound energy data associated with the energy interval to obtain an energy cumulative value.

[0100] In one embodiment, the sum of all ground sound energy data associated with each energy interval in the current rock burst cycle may be calculated to obtain the energy accumulation value corresponding to each energy interval.

[0101] Step b3: generating a second distribution diagram including a mapping relationship between energy cumulative values ​​and different energy intervals according to the energy cumulative values ​​corresponding to each energy interval.

[0102] In one embodiment, the above-mentioned multiple energy intervals can be used as the horizontal axis and the energy accumulation value as the vertical axis, and the horizontal and vertical coordinates can be determined based on the corresponding relationship between the energy accumulation value and the energy interval (that is, the energy accumulation value is used as the vertical coordinate, and the energy interval corresponding to the energy accumulation value is used as the horizontal coordinate to obtain the coordinate value of the mapping relationship point in the second distribution diagram), thereby obtaining a set of multiple mapping relationship points in the second distribution diagram.

[0103] Step b4, performing a second fitting process on the second distribution graph to obtain a second fitting result.

[0104] The fitting method used in the second fitting process is determined according to the data distribution characteristics of the historical second distribution map of the target monitoring area when historical rock burst pressure appeared.

[0105] As a possible implementation method, a second fitting method that meets the shape characteristic requirements can be determined based on the shape characteristics of the distribution of the cumulative value of ground sound energy in historical impact ground pressure events in the target monitoring area relative to different energy intervals, and a second fitting process can be performed on the second distribution map according to the second fitting method to obtain a second fitting result.

[0106] For example, the shape characteristics of the distribution of the cumulative value of ground sound energy in the historical rock burst events in the target monitoring area relative to different energy intervals are as follows: as the energy interval value increases, the cumulative value of the ground sound energy increases steadily at first, and then increases sharply, presenting an exponential distribution feature as a whole. Therefore, the exponential function model regression fitting method can be used to perform the above second fitting processing, and the following is obtained: Figure 3 The second fitting result is shown.

[0107] Step b5: calculating a second goodness of fit based on the second fitting result to obtain the second correlation index value.

[0108] In the embodiment of the present disclosure, the goodness of fit F can be calculated according to the second fitting result. EE , F EE The larger it is, the greater the correlation between frequency and energy.

[0109] Among them, F EE The value range can be between -1 and 1.

[0110] In some embodiments, if no fitting method that meets the shape feature requirements of the above-mentioned multiple mapping relationship points is matched, the early warning operation of the present disclosure is stopped.

[0111] Step 105, determining the danger level of rock burst in the target monitoring area according to the first correlation index value and the second correlation index value, and issuing an early warning based on the danger level.

[0112] In some embodiments of the present disclosure, determining the danger level of rock burst in the target monitoring area according to the first correlation index value and the second correlation index value in step 105 may specifically include the following steps:

[0113] When the first correlation index value is greater than or equal to the first preset threshold value, and the second correlation index value is greater than or equal to the second preset threshold value, obtaining the coal seam stress value in the target monitoring area, and obtaining the force value of the anchor rod in the target monitoring area;

[0114] The degree of danger is determined based on the first correlation index value, the second correlation index value, and the coal seam stress value and the force value.

[0115] It is understandable that anchor rods are the most basic component of tunnel support in contemporary coal mines. Anchor rods reinforce the surrounding rock of the tunnel so that the surrounding rock supports itself. The greater the force on the anchor rod, the greater the degree of danger. Therefore, the force value of the anchor rod can be used as a factor to judge the degree of danger of impact ground pressure.

[0116] As an example of a possible implementation, the monitoring area range of the coal seam stress value and the anchor force value is the same as the area range of the geosound monitoring. For example, the geosound monitoring area is within the area range of 200m from the center of the sensor placement position, and accordingly, the coal seam stress monitoring area and the anchor force monitoring area are both within the above area range.

[0117] In some embodiments of the present disclosure, determining the danger level of rock burst in the target monitoring area according to the first correlation index value and the second correlation index value in step 105 may specifically include the following steps:

[0118] When the first correlation index value is less than the first preset threshold value, and the second correlation index value is less than the second preset threshold value, determining the danger level as no impact danger;

[0119] When the first correlation index value is greater than or equal to the first preset threshold value, and the second correlation index value is greater than or equal to the second preset threshold value, obtaining the coal seam stress value and the anchor force value in the target monitoring area;

[0120] When the coal seam stress value is less than the third preset threshold value, and the force value is less than the fourth preset threshold value, the danger level is determined to be a weak impact danger;

[0121] When the coal seam stress value is less than or equal to the third preset threshold value and the force value is greater than the fourth preset threshold value, or when the coal seam stress value is greater than the third preset threshold value and the force value is less than or equal to the fourth preset threshold value, the risk level is determined to be a medium impact risk;

[0122] When the coal seam stress value is greater than the third preset threshold value and the force value is greater than the fourth preset threshold value, the danger level is determined to be a strong impact danger.

[0123] In one embodiment, the degree of danger may be determined based on the method in Table 1:

[0124] Table 1 List of methods for judging the degree of danger

[0125]

[0126]

[0127] Understandably, in F EF and F EE After reaching the corresponding thresholds, the coal seam stress value and the anchor force value are continuously obtained within the preset time period. When the coal seam stress value and the anchor force value meet the corresponding danger level judgment condition, the warning information of the level corresponding to the danger level judgment condition item is output.

[0128] In one embodiment, the third preset threshold corresponding to the above-mentioned coal seam stress value can be a critical value determined based on historical stress data, and the critical value of the mining stress monitoring index can be set by analogy, and then the initial value can be further corrected according to the actual on-site investigation data and accumulated data. When making analogies, rock burst tunnels with similar mining and geological conditions can be selected.

[0129] In some embodiments of the present disclosure, the method may further include:

[0130] Step a1, in response to the first correlation index value being greater than or equal to the first preset threshold, and the second correlation index value being greater than or equal to the second preset threshold, and the value of the ground sound frequency data in the frequency data set suddenly changes from the first frequency interval to the second frequency interval, and the value of the energy frequency data in the energy data set suddenly changes from the third energy interval to the fourth energy interval, it is determined that the target monitoring area meets the first cycle end condition.

[0131] Among them, the threshold in the first frequency interval is greater than the threshold in the second frequency interval; the threshold in the third energy interval is greater than the threshold in the fourth energy interval.

[0132] It should be noted that the frequency data set and the energy data set can store data in the order of the time of data collection, and can also store the collection time corresponding to each data. Therefore, it can be judged based on the changing trend of the value of the ground sound frequency data over time and the changing trend of the ground sound energy data over time whether there is a situation where the value of the ground sound frequency data in the frequency data set suddenly changes from the first frequency interval to the second frequency interval, and the value of the energy frequency data in the energy data set suddenly changes from the third energy interval to the fourth energy interval.

[0133] Step a2: in response to monitoring the occurrence of rock burst, determining whether the target monitoring area meets the second cycle end condition.

[0134] Step a3: When the target monitoring area meets the first cycle end condition or the second cycle end condition, it is determined that the current rock burst cycle ends.

[0135] Step a4, respectively clear the data in the frequency data set and the energy data set in the current rock burst cycle, so that the frequency data set stores the ground sound frequency data of the next rock burst cycle, and the energy data set stores the ground sound energy data of the next rock burst cycle, and return to execute the step of obtaining the ground sound frequency data and ground sound energy data of the target monitoring area in the coal mine.

[0136] In one embodiment, after rock burst occurs, it is determined that the current rock burst cycle ends, the target monitoring area enters the next rock burst incubation stage, the ground audio frequency and energy data history data are cleared to zero energy values, and the process returns to execute step 101 in the disclosed embodiment.

[0137] In another embodiment, F EF is greater than or equal to the first preset threshold, and F EE If the value is greater than or equal to the second preset threshold, and the ground sound frequency data and the ground sound energy data suddenly drop from continuous high-value fluctuations to low values ​​and are maintained continuously, it is determined that the current rock burst cycle is over, and the rock burst incubation stage is carried out. The historical data of the ground sound frequency and energy data are cleared, and the process returns to execute step 101 in the embodiment of the present disclosure.

[0138] In addition, in some embodiments of the present application, the ground sound frequency data and ground sound energy data acquired in real time can also be stored in a corresponding storage unit for subsequent data tracing and application.

[0139] According to the monitoring and early warning method for the manifestation of rock burst in coal mines proposed in the embodiment of the present disclosure, the ground audio frequency data and ground audio energy data of the target monitoring area in the coal mine are obtained; the ground audio frequency data is stored in the frequency data set, and the ground audio energy data is stored in the energy data set; based on the frequency data set and the energy data set, the first correlation index value between the ground audio frequency cumulative value and the ground audio energy interval in the current rock burst cycle is determined; based on the energy data set and the preset multiple energy intervals, the second correlation index value between the ground audio energy cumulative value and the energy interval in the current rock burst cycle is determined; according to the first correlation index value and the second correlation index value, the danger level of rock burst in the target monitoring area is determined, and an early warning is issued based on the danger level. By utilizing the correlation between the ground audio frequency data and the ground audio energy data, as well as the correlation between the ground audio energy data and the energy interval, that is, according to the distribution of the ground audio energy, the risk level of rock burst is comprehensively judged, thereby improving the accuracy and timeliness of the early warning of rock burst.

[0140] Figure 4 1 is a block diagram of a monitoring and early warning device for coal mine rock burst according to an exemplary embodiment. Figure 4 The device includes an acquisition unit 401, a storage unit 402, a first determination unit 403, a second determination unit 404 and an early warning unit 405.

[0141] The acquisition unit 401 is used to acquire the ground sound frequency data and ground sound energy data of the target monitoring area in the coal mine in real time;

[0142] The storage unit 402 is used to store the ground sound frequency data in the frequency data set, and store the ground sound energy data in the energy data set; the frequency data set stores the ground sound frequency data belonging to the same rock burst cycle; the energy data set stores the ground sound energy data belonging to the same rock burst cycle;

[0143] A first determining unit 403 is used to determine a first correlation index value between the frequency of the ground impulse and the energy interval in the current rock burst cycle based on the frequency data set and a plurality of preset energy intervals;

[0144] A second determination unit 404 is used to determine a second correlation index value between the sound energy and the energy interval in the current rock burst cycle based on the energy data set and the preset multiple energy intervals;

[0145] The early warning unit 405 is used to determine the danger level of rock burst in the target monitoring area according to the first correlation index value and the second correlation index value, and issue an early warning based on the danger level.

[0146] In some embodiments of the present disclosure, the first determining unit 403 may be specifically configured to:

[0147] Determine the geosound energy data having the same collection time node as the geosound frequency data, and determine the energy interval to which the geosound energy data belongs from the multiple energy intervals;

[0148] For each energy interval of the multiple energy intervals, calculate the sum of all ground sound frequency data associated with the energy interval to obtain a frequency accumulation value;

[0149] Generate a first distribution diagram including a mapping relationship between the frequency cumulative value and different energy intervals according to the frequency cumulative value corresponding to each energy interval;

[0150] Performing a first fitting process on the first distribution map to obtain a first fitting result; the fitting method used in the first fitting process is determined according to data distribution characteristics of the historical first distribution map of the target monitoring area when historical rock bursts occur;

[0151] A first goodness of fit is calculated based on the first fitting result to obtain the first correlation index value.

[0152] In some embodiments of the present disclosure, the second determining unit 404 may be specifically configured to:

[0153] Determine the energy interval to which the geosound energy data belongs;

[0154] For each energy interval of the multiple energy intervals, calculating the sum of all ground sound energy data associated with the energy interval to obtain an energy cumulative value;

[0155] According to the energy cumulative value corresponding to each energy interval, a second distribution diagram including a mapping relationship between the energy cumulative value and different energy intervals is generated;

[0156] Performing a second fitting process on the second distribution map to obtain a second fitting result; the fitting method used in the second fitting process is determined according to the data distribution characteristics of the historical second distribution map of the target monitoring area when the historical rock burst appeared;

[0157] A second goodness of fit is calculated based on the second fitting result to obtain the second correlation index value.

[0158] In some embodiments of the present disclosure, the early warning unit 405 may be specifically used for:

[0159] When the first correlation index value is greater than or equal to the first preset threshold value, and the second correlation index value is greater than or equal to the second preset threshold value, obtaining the coal seam stress value in the target monitoring area, and obtaining the force value of the anchor rod in the target monitoring area;

[0160] The degree of danger is determined based on the first correlation index value, the second correlation index value, the coal seam stress value and the anchor bolt force value.

[0161] In some embodiments of the present disclosure, the early warning unit 405 may be specifically used for:

[0162] When the first correlation index value is less than the first preset threshold value, and the second correlation index value is less than the second preset threshold value, determining the danger level as no impact danger;

[0163] When the first correlation index value is greater than or equal to the first preset threshold value, and the second correlation index value is greater than or equal to the second preset threshold value, obtaining the coal seam stress value and the anchor force value in the target monitoring area;

[0164] When the coal seam stress value is less than the third preset threshold value, and the force value is less than the fourth preset threshold value, the danger level is determined to be a weak impact danger;

[0165] When the coal seam stress value is less than or equal to the third preset threshold value and the force value is greater than the fourth preset threshold value, or when the coal seam stress value is greater than the third preset threshold value and the force value is less than or equal to the fourth preset threshold value, the risk level is determined to be a medium impact risk;

[0166] When the coal seam stress value is greater than the third preset threshold value and the force value is greater than the fourth preset threshold value, the danger level is determined to be a strong impact danger.

[0167] In some embodiments of the present disclosure, the device may further include:

[0168] A third determination unit is used to determine that the target monitoring area meets the first cycle end condition in response to the first correlation index value being greater than or equal to the first preset threshold, and the second correlation index value being greater than or equal to the second preset threshold, and the value of the ground sound frequency data in the frequency data set suddenly changes from the first frequency interval to the second frequency interval, and the value of the energy frequency data in the energy data set suddenly changes from the third energy interval to the fourth energy interval; wherein the threshold value in the first frequency interval is greater than the threshold value in the second frequency interval; and the threshold value in the third energy interval is greater than the threshold value in the fourth energy interval;

[0169] A fourth determining unit, configured to determine, in response to monitoring that rock burst is present, whether the target monitoring area meets a second cycle end condition;

[0170] A fifth determining unit, configured to determine that the current rock burst cycle ends when the target monitoring area satisfies the first cycle end condition or the second cycle end condition;

[0171] The clearing unit is used to clear the data in the frequency data set and the energy data set in the current rock burst cycle respectively, so that the frequency data set stores the ground sound frequency data of the next rock burst cycle, and the energy data set stores the ground sound energy data of the next rock burst cycle.

[0172] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0173] According to the monitoring and early warning device for the manifestation of rock burst in coal mines proposed in the embodiment of the present disclosure, the ground audio frequency data and ground audio energy data of the target monitoring area in the coal mine are obtained; the ground audio frequency data is stored in the frequency data set, and the ground audio energy data is stored in the energy data set; based on the frequency data set and the energy data set, the first correlation index value between the ground audio frequency cumulative value and the ground audio energy interval in the current rock burst cycle is determined; based on the energy data set and the preset multiple energy intervals, the second correlation index value between the ground audio energy cumulative value and the energy interval in the current rock burst cycle is determined; according to the first correlation index value and the second correlation index value, the danger level of rock burst in the target monitoring area is determined, and an early warning is issued based on the danger level. By utilizing the correlation between the ground audio frequency data and the ground audio energy data, as well as the correlation between the ground audio energy data and the energy interval, that is, according to the distribution of the ground audio energy, the risk level of rock burst is comprehensively judged, thereby improving the accuracy and timeliness of the early warning of rock burst.

[0174] Figure 5 1 is a block diagram of a device for monitoring and early warning of coal mine rock burst according to an exemplary embodiment. For example, the device 500 may be an electronic device, such as a mobile phone, a computer, a digital broadcast terminal, a message transceiver device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0175] Reference Figure 5 , the device 500 may include one or more of the following components: a processing component 502 , a memory 504 , a power component 506 , a multimedia component 508 , an audio component 510 , an input / output (I / O) interface 512 , a sensor component 514 , and a communication component 516 .

[0176] The processing component 502 generally controls the overall operation of the device 500, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 502 may include one or more processors 520 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 502 may include one or more modules to facilitate the interaction between the processing component 502 and other components. For example, the processing component 502 may include a multimedia module to facilitate the interaction between the multimedia component 508 and the processing component 502.

[0177] The memory 504 is configured to store various types of data to support operations on the device 500. Examples of such data include instructions for any application or method operating on the device 500, contact data, phone book data, messages, pictures, videos, etc. The memory 504 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0178] Power component 506 provides power to various components of device 500. Power component 506 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for device 500.

[0179] The multimedia component 508 includes a screen that provides an output interface between the device 500 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also monitor the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 508 includes a front camera and / or a rear camera. When the device 500 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0180] The audio component 510 is configured to output and / or input audio signals. For example, the audio component 510 includes a microphone (MIC), and when the device 500 is in an operating mode, such as a call mode, a recording mode, and a speech recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 504 or sent via the communication component 516. In some embodiments, the audio component 510 also includes a speaker for outputting audio signals.

[0181] I / O interface 512 provides an interface between processing component 502 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0182] The sensor assembly 514 includes one or more sensors for providing various aspects of status assessment for the device 500. For example, the sensor assembly 514 can monitor the open / closed state of the device 500, the relative positioning of components, such as the display and keypad of the device 500, the sensor assembly 514 can also monitor the position change of the device 500 or a component of the device 500, the presence or absence of user contact with the device 500, the orientation or acceleration / deceleration of the device 500 and the temperature change of the device 500. The sensor assembly 514 may include a proximity sensor configured to monitor the presence of nearby objects without any physical contact. The sensor assembly 514 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 514 may also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.

[0183] The communication component 516 is configured to facilitate wired or wireless communication between the device 500 and other devices. The device 500 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 516 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 516 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0184] In an exemplary embodiment, the apparatus 500 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above methods.

[0185] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 504 including instructions, and the instructions can be executed by the processor 520 of the device 500 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0186] In an exemplary embodiment, a computer program product is also provided, comprising a computer program, which implements the above method when executed by the processor 520 of the device 500.

[0187] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present invention are indicated by the following claims.

[0188] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A monitoring and early warning method for coal mine rock burst, characterized in that: include: Real-time acquisition of ground sound frequency data and ground sound energy data in the target monitoring area of ​​the coal mine; The ground sound frequency data is stored in a frequency data set, and the ground sound energy data is stored in an energy data set; the frequency data set stores the ground sound frequency data belonging to the same rock burst cycle; the energy data set stores the ground sound energy data belonging to the same rock burst cycle; Based on the frequency data set and the preset multiple energy intervals, determining a first correlation index value between the frequency of the ground impulse and the energy interval in the current rock burst cycle; Based on the energy data set and a plurality of preset energy intervals, determining a second correlation index value between the sound energy and the energy interval in the current rock burst cycle; The danger level of rock burst in the target monitoring area is determined according to the first correlation index value and the second correlation index value, and an early warning is issued based on the danger level.

2. The method for monitoring and early warning of coal mine rock burst according to claim 1, characterized in that: The determining, based on the frequency data set and the preset multiple energy intervals, a first correlation index value between the frequency of the ground impulse and the energy interval in the current ground impulse cycle includes: Determine the geosound energy data having the same collection time node as the geosound frequency data, and determine the energy interval to which the geosound energy data belongs from the multiple energy intervals; For each energy interval of the multiple energy intervals, calculate the sum of all ground sound frequency data associated with the energy interval to obtain a frequency accumulation value; Generate a first distribution diagram including a mapping relationship between the frequency cumulative value and different energy intervals according to the frequency cumulative value corresponding to each energy interval; Performing a first fitting process on the first distribution map to obtain a first fitting result; the fitting method used in the first fitting process is determined according to data distribution characteristics of the historical first distribution map of the target monitoring area when historical rock bursts occur; A first goodness of fit is calculated based on the first fitting result to obtain the first correlation index value.

3. The method for monitoring and early warning of coal mine rock burst according to claim 1, characterized in that: The determining, based on the energy data set and the preset multiple energy intervals, a second correlation index value between the sound energy and the energy interval in the current rock burst cycle includes: Determine the energy interval to which the geosound energy data belongs; For each energy interval of the multiple energy intervals, calculating the sum of all ground sound energy data associated with the energy interval to obtain an energy cumulative value; According to the energy cumulative value corresponding to each energy interval, a second distribution diagram including a mapping relationship between the energy cumulative value and different energy intervals is generated; Performing a second fitting process on the second distribution map to obtain a second fitting result; the fitting method used in the second fitting process is determined according to the data distribution characteristics of the historical second distribution map of the target monitoring area when the historical rock burst appeared; A second goodness of fit is calculated based on the second fitting result to obtain the second correlation index value.

4. The method for monitoring and early warning of coal mine rock burst according to claim 1, characterized in that: The determining the danger level of rock burst in the target monitoring area according to the first correlation index value and the second correlation index value includes: When the first correlation index value is greater than or equal to a first preset threshold value, and the second correlation index value is greater than or equal to a second preset threshold value, obtaining a coal seam stress value in the target monitoring area, and obtaining a force value of an anchor in the target monitoring area; The danger level is determined based on the first correlation index value, the second correlation index value, the coal seam stress value, and the force value of the anchor rod.

5. The method for monitoring and early warning of coal mine rock burst according to claim 1, characterized in that: The determining the danger level of rock burst in the target monitoring area according to the first correlation index value and the second correlation index value includes: When the first correlation index value is less than a first preset threshold value, and the second correlation index value is less than a second preset threshold value, determining the risk level as no impact risk; In the case where the first correlation index value is less than a first preset threshold and the second correlation index value is greater than or equal to a second preset threshold, or in the case where the first correlation index value is greater than or equal to the first preset threshold and the second correlation index value is less than the second preset threshold, determining the danger level as no impact danger; When the first correlation index value is greater than or equal to a first preset threshold value, and the second correlation index value is greater than or equal to a second preset threshold value, obtaining the coal seam stress value and the anchor force value in the target monitoring area; In the case where the coal seam stress value is less than the third preset threshold value and the anchor force value is less than the fourth preset threshold value within the preset time period, the danger level is determined to be a weak impact danger; In the preset time period, if the coal seam stress value is less than or equal to the third preset threshold and the anchor force value is greater than the fourth preset threshold, or if the coal seam stress value is greater than the third preset threshold and the anchor force value is less than or equal to the fourth preset threshold, the risk level is determined to be a medium impact risk; In the case where, within the preset time period, the coal seam stress value is greater than the third preset threshold and the anchor force value is greater than the fourth preset threshold, the danger level is determined to be a strong impact danger.

6. The method for monitoring and early warning of rock burst in coal mines according to claim 1, characterized in that: The method also includes: In response to the first correlation index value being greater than or equal to a first preset threshold, and the second correlation index value being greater than or equal to a second preset threshold, and the value of the ground sound frequency data in the frequency data set suddenly changing from the first frequency interval to the second frequency interval, and the value of the energy frequency data in the energy data set suddenly changing from the third energy interval to the fourth energy interval, it is determined that the target monitoring area meets the first cycle end condition; wherein the threshold value in the first frequency interval is greater than the threshold value in the second frequency interval; and the threshold value in the third energy interval is greater than the threshold value in the fourth energy interval; In response to monitoring the emergence of rock burst, determining that the target monitoring area meets the second cycle end condition; When the target monitoring area satisfies the first cycle end condition or the second cycle end condition, determining that the current rock burst cycle ends; Clear the data in the frequency data set and the energy data set in the current rock burst cycle respectively, so that the frequency data set stores the ground sound frequency data of the next rock burst cycle, and the energy data set stores the ground sound energy data of the next rock burst cycle, and return to execute the step of obtaining the ground sound frequency data and ground sound energy data of the target monitoring area in the coal mine.

7. A monitoring and early warning device for coal mine rock burst, characterized in that: include: An acquisition unit, used for acquiring ground sound frequency data and ground sound energy data of a target monitoring area in a coal mine in real time; A storage unit is used to store the ground sound frequency data in a frequency data set, and store the ground sound energy data in an energy data set; the frequency data set stores the ground sound frequency data belonging to the same rock burst cycle; the energy data set stores the ground sound energy data belonging to the same rock burst cycle; A first determining unit, configured to determine a first correlation index value between the frequency of the ground impulse and the energy interval in the current rock burst cycle based on the frequency data set and a plurality of preset energy intervals; A second determination unit is used to determine a second correlation index value between the sound energy and the energy interval in the current rock burst cycle based on the energy data set and a plurality of preset energy intervals; An early warning unit is used to determine the danger level of rock burst in the target monitoring area according to the first correlation index value and the second correlation index value, and to issue an early warning based on the danger level.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that The computer program implements the method according to any one of claims 1 to 6 when executed by a processor.

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