A monitoring and early warning method and device for coal mine rock burst

Abstract

The present disclosure relates to a monitoring and early warning method and device for the occurrence of rock burst in coal mines. The method includes: obtaining the ground sound frequency data and ground sound energy data of the target monitoring area in the coal mine in real time; storing the ground sound frequency data in a frequency data set, and storing the ground sound energy data in an energy data set; determining the first correlation index value between the ground sound frequency and the ground sound 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 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; 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. This solution improves the accuracy and timeliness of rock burst early warning.

Description

Technical Field

[0001] The present disclosure 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] Real-time and effective monitoring and early warning of rock bursts are key components of the rock burst research system and are crucial for its prevention, control, and mitigation. Traditional rock burst monitoring methods independently monitor, analyze, and issue early warning signals for both frequency and energy, leading to poor accuracy and a high risk of missed and false alarms. Summary of the Invention

[0003] In order to overcome the problems existing in the related art, the present disclosure 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 coal mine rock burst 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] 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 frequency data set and a plurality of preset energy intervals;

[0008] Determining a second correlation index value between 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;

[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 rock burst cycle based on the frequency data set and a plurality of preset energy intervals includes:

[0011] determining ground sound energy data having the same acquisition time node as the ground sound frequency data, and determining an energy interval to which the ground sound energy data belongs from the multiple energy intervals;

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

[0013] generating a first distribution graph 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 based on data distribution characteristics of the historical first distribution map of the target monitoring area when rock bursts occurred in the past;

[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 a second correlation index value between the ground sound energy and the energy interval in the current rock burst cycle based on the energy dataset and a plurality of preset energy intervals includes:

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

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

[0019] generating, 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;

[0020] performing a second fitting process on the second distribution map to obtain a second fitting result; wherein the fitting method used in the second fitting process is determined based on data distribution characteristics of the historical second distribution map of the target monitoring area when historical rock bursts occurred;

[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 rod in the target monitoring area;

[0024] 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 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] When 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 when 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 risk level as no impact risk;

[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 a coal seam stress value and an anchor force value in the target monitoring area;

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

[0030] If, within a preset time period, 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] If, within a preset time period, the coal seam stress value is greater than a third preset threshold and the anchor force value is greater than a 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, the second correlation index value being greater than or equal to a second preset threshold, 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 dataset and the energy dataset in the current rock burst cycle respectively, so that the frequency dataset stores the ground sound frequency data of the next rock burst cycle, and the energy dataset 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 device for monitoring and warning of rock burst in a coal mine 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 configured to store the ground sound frequency data into a frequency data set, and store the ground sound energy data into 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 is 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 determining unit, configured to determine, based on the energy data set and a plurality of preset energy intervals, a second correlation index value between the ground sound energy and the energy interval in the current rock burst cycle;

[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, a computer-readable storage medium is provided, 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 obtaining the ground sound frequency data and ground sound energy data of the target monitoring area in the coal mine; storing the ground sound frequency data in the frequency data set, and storing the ground sound energy data in the energy data set; determining the first correlation index value between the ground sound frequency and the ground sound 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 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; 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 sound frequency data and the ground sound energy data, as well as the correlation between the ground sound energy data and the energy interval, that is, according to the distribution of the ground sound energy, the risk level of rock burst is comprehensively judged, thereby improving the accuracy and timeliness of the rock burst early warning.

[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 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 flowchart of a method for monitoring and early warning of coal mine rock burst according to an exemplary embodiment.

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

[0051] Figure 3 2 is a schematic diagram of a second fitting result proposed in an embodiment of the present disclosure.

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

[0053] Figure 5 The present invention 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 illustrated in the accompanying drawings. In the following description, when referring to the drawings, like numbers in different figures represent like or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present invention, as detailed in the appended claims.

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

[0056] It should be understood that although the terms first, second, third, etc. may be used to describe various information in the embodiments of the present disclosure, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of the embodiments of the present disclosure, 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 the time of" or "when" or "in response to determining".

[0057] Furthermore, the various forms of processes shown in the embodiments of this disclosure may be used to reorder, add, or delete steps. For example, the steps described in this application may be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. This is not a limitation herein.

[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 rock burst prevention and control. 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, ground sound 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 non-contact and non-destructive monitoring, which is fast and convenient, greatly increasing the effectiveness of monitoring personnel.

[0059] The entire rock burst process involves four stages: rock burst incubation, rock burst initiation, and rock burst energy transfer. In the first three stages, the monitoring medium is the coal rock deep within the roadway surrounding rock mass, which is far away from the sensors deployed in the roadway. This results in severe signal attenuation and makes acquisition difficult. In the fourth stage, however, localized rock deformation (internal microcrack formation and expansion) and stress (coal seam stress and anchor bolt stress) can be directly monitored, facilitating real-time and effective monitoring and early warning of rock bursts.

[0060] Geoacoustic monitoring can capture real-time microvibration information on the initiation, generation, expansion, and penetration of cracks in coal and rock masses as they progress from microfracture to instability and failure. This rich precursor information is resistant to interference, making it a key tool for rock burst monitoring. Geoacoustic monitoring and early warning for rock burst often utilize a trending approach. This approach first monitors and analyzes historical information on rock burst frequency and energy to predict future values. The predicted values ​​are then compared with the actual values ​​to issue an early warning. While this early warning method has a simple algorithm and is easy to use, it monitors, analyzes, and issues early warnings independently for both frequency and energy. This results in a high incidence of false alarms and missed warnings, resulting in poor early warning effectiveness.

[0061] In order to solve the above problems, the present disclosure provides a monitoring and early warning method and device for the occurrence of rock burst in coal mines, which obtains the ground audio frequency data and ground audio energy data of the target monitoring area in the coal mine; stores the ground audio frequency data in the frequency data set, and stores the ground audio energy data in the energy data set; determines the first correlation index value between the cumulative ground audio frequency value and the ground audio energy interval in the current rock burst cycle based on the frequency data set and the energy data set; determines the second correlation index value between the cumulative ground audio energy value and the energy interval in the current rock burst cycle based on the energy data set and a plurality of preset energy intervals; determines 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 issues 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, a comprehensive judgment is made on the risk level of rock burst, thereby improving the accuracy and timeliness of the rock burst early warning.

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

[0063] Step 101: Acquire ground sound frequency data and ground sound energy data of a target monitoring area in a 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] Understandably, during mining operations at underground coal mines, the stable state of the stress field is disrupted. As the stress field returns to equilibrium, energy changes, and the uneven and rapid release of energy during this energy change leads to rock bursts. Furthermore, this energy change is accompanied by the formation and development of microcracks within the coal and rock mass, which rapidly connect to form larger cracks.

[0070] In one embodiment, the frequency dataset is updated using the collected ground sound frequency data, and the energy dataset 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 sequentially according to the time of collection, and the ground sound energy data in the energy data set are stored sequentially 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 ground audio frequency 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, transfer and release inside the coal and rock mass, which ultimately leads to rock burst, the cumulative values ​​of the ground audio frequencies in different energy intervals and the energy intervals will show a regular correlation with time (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 the ground sound frequency data over time. Therefore, within the same rock burst cycle, the collected ground sound frequency data and ground sound energy data can be subjected to correlation regression based on the distribution characteristics of the ground sound frequency relative to different energy intervals. 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 under the condition of rock burst, 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 ground sound energy data having the same collection time node as the ground sound frequency data, and determining an 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 plurality of 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 ground audio frequency data and energy intervals through 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 the frequency cumulative value and different energy intervals according to the frequency cumulative value 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 based on 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 cumulative value of the ground sound frequency in the historical impact ground pressure events in the target monitoring area relative to different energy intervals, and the first distribution map is subjected to a first fitting process according to the first fitting method to obtain a first fitting result.

[0087] For example, the distribution of the cumulative value of the ground sound frequency in the historical rock burst events in the target monitoring area relative to different energy intervals shows the following shape: as the energy interval value increases, the cumulative value of the frequency increases first and then decreases, forming a downward-opening parabola. Therefore, the first fitting process can be performed by using the 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 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 plurality of mapping relationship points is matched, the warning operation of the present disclosure is stopped.

[0092] Step 104 : determining a second correlation index value between the accumulated value of the ground sound energy in the current rock burst cycle and the energy interval 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 rock mass until it is suddenly released, resulting in the manifestation of rock burst, as time goes by, the cumulative value 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 rock burst manifests, as the energy interval increases, the cumulative value 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's important to emphasize that a single geophone event has both frequency and energy monitoring values. There's no absolute correlation between frequency and energy within a single event. The correlation analysis presented here analyzes the frequency and energy values ​​of all geophone events monitored within a rock burst cycle. It's unrelated to how geoenergy data changes 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 process of continuous change 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, resulting in the emergence of rock burst. At this time, the time node is t1, and t0-t1 is a rock burst cycle.

[0096] Therefore, within a rock burst cycle, a correlation regression can be performed on the accumulated ground sound energy values ​​and the corresponding energy intervals based on the distribution pattern of the accumulated ground sound energy values ​​relative to the ground sound energy intervals. The stronger the correlation, the closer the changing characteristics of the ground sound energy relative to the different energy intervals are to the changing characteristics when rock burst occurs, that is, the greater the risk of rock burst in the target monitoring area. In one embodiment, a second correlation index value can be determined between the accumulated ground sound energy values ​​and the energy intervals during the current rock burst cycle to evaluate the degree of correlation between the ground sound energy data and the energy intervals.

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

[0098] Step b1: determine the energy interval to which the ground sound energy data belongs.

[0099] Step b2: for each energy interval in the plurality of energy intervals, calculating 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 the energy cumulative value and different energy intervals according to the energy cumulative value 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 cumulative value as the vertical axis, and the horizontal and vertical coordinates can be determined based on the correspondence between the energy cumulative value and the energy interval (that is, the energy cumulative value is used as the vertical coordinate, and the energy interval corresponding to the energy cumulative 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 based on 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: with the increase of the energy interval value, the cumulative value of ground sound energy first increases steadily and then increases sharply, showing 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: Calculate 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 based on 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 plurality of mapping relationship points is matched, the 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 stress value of the coal seam 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 modern 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 for coal seam stress and anchor bolt force values ​​is the same as the geoacoustic monitoring area. For example, the geoacoustic monitoring area is within a 200m radius from the sensor placement center. Accordingly, the coal seam stress monitoring area and anchor bolt force monitoring area are also within this area.

[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 risk level as no impact risk;

[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 threshold, the coal seam stress value and anchor force value are continuously obtained within the preset time period. When the coal seam stress value and 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 coal seam stress value can be a critical value determined based on historical stress data. An analogy method can be used to set the critical value of the mining-induced stress monitoring indicator, and the initial value can be further revised based on actual on-site inspection data and accumulated data. For analogy, a rock burst tunnel 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 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.

[0131] 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.

[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, based on the changing trend of the ground sound frequency data value over time and the changing trend of the ground sound energy data over time, it can be judged 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 appears, it is determined that the current rock burst cycle ends, the target monitoring area enters the next rock burst incubation stage, the ground sound frequency and energy data history data are cleared to zero energy value, and the process returns to execute step 101 in the embodiment of the present disclosure.

[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 a continuous high-value fluctuation to a low value 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 obtained 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 coal mine rock bursts 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, a first correlation index value between the cumulative ground audio frequency value and the ground audio energy interval in the current rock burst cycle is determined; based on the energy data set and a plurality of preset energy intervals, a second correlation index value between the cumulative ground audio energy value and the energy interval in the current rock burst cycle is determined; based on the first correlation index value and the second correlation index value, the danger level of rock bursts 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, based on the distribution of the ground audio energy, a comprehensive judgment is made on the risk level of rock bursts, thereby improving the accuracy and timeliness of rock burst early warnings.

[0140] Figure 4 This 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 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;

[0143] A first determining unit 403 is 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;

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

[0145] The early warning unit 405 is configured to determine a 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] determining ground sound energy data having the same acquisition time node as the ground sound frequency data, and determining an energy interval to which the ground sound energy data belongs from the multiple energy intervals;

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

[0149] generating a first distribution graph 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 based on data distribution characteristics of the historical first distribution map of the target monitoring area when rock bursts occurred in the past;

[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] determining an energy interval to which the geosound energy data belongs;

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

[0155] generating, 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;

[0156] performing a second fitting process on the second distribution map to obtain a second fitting result; wherein the fitting method used in the second fitting process is determined based on data distribution characteristics of the historical second distribution map of the target monitoring area when historical rock bursts occurred;

[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 to:

[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 stress value of the coal seam 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 to:

[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 risk level as no impact risk;

[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 apparatus may further include:

[0168] a third determining unit, configured to determine that the target monitoring area satisfies the first cycle end condition in response to the first correlation index value being greater than or equal to the first preset threshold value, the second correlation index value being greater than or equal to the second preset threshold value, 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; 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 the occurrence of rock burst, whether the target monitoring area satisfies 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 apparatus 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 coal mine rock bursts 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, a first correlation index value between the cumulative ground audio frequency value and the ground audio energy interval in the current rock burst cycle is determined; based on the energy data set and a plurality of preset energy intervals, a second correlation index value between the cumulative ground audio energy value and the energy interval in the current rock burst cycle is determined; based on the first correlation index value and the second correlation index value, the danger level of rock bursts 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, based on the distribution of the ground audio energy, a comprehensive judgment is made on the risk level of rock bursts, thereby improving the accuracy and timeliness of rock burst early warnings.

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

[0175] Reference Figure 5 , apparatus 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 operation, and recording operations. The processing component 502 may include one or more processors 520 to execute instructions to perform all or part of the steps of the above-described method. In addition, the processing component 502 may include one or more modules to facilitate interaction between the processing component 502 and other components. For example, the processing component 502 may include a multimedia module to facilitate 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 the 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 to 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 can 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 can 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 can receive external multimedia data. Each front camera and rear camera can 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), which is configured to receive external audio signals when the device 500 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal can be further stored in the memory 504 or transmitted 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 a keyboard, click wheel, buttons, etc. These buttons may include but are not limited to: a home button, volume buttons, 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 changes in the position 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 temperature changes 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 a light 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, 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-described method.

[0185] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 504 including instructions, which can be executed by the processor 520 of the apparatus 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 apparatus 500 .

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

[0188] It should be understood that the present invention is not limited to the exact construction 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 method for monitoring and early warning of 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; 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 frequency data set and a plurality of preset energy intervals; Determining a second correlation index value between 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; determining a 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; The determining of a first correlation index value between the frequency of the ground noise and the energy interval in the current rock burst cycle based on the frequency data set and the preset multiple energy intervals includes: determining ground sound energy data having the same acquisition time node as the ground sound frequency data, and determining an energy interval to which the ground sound energy data belongs from the multiple energy intervals; For each energy interval of the plurality of energy intervals, calculating a sum of all ground sound frequency data associated with the energy interval to obtain a frequency accumulation value; generating a first distribution graph 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 based on data distribution characteristics of the historical first distribution map of the target monitoring area when historical rock bursts occurred; Calculating a first goodness of fit based on the first fitting result to obtain the first correlation index value; The determining of a second correlation index value between the ground sound energy and the energy interval in the current rock burst cycle based on the energy data set and the plurality of preset energy intervals includes: determining an energy interval to which the geosound energy data belongs; For each energy interval of the plurality of energy intervals, calculating a sum of all ground sound energy data associated with the energy interval to obtain an energy cumulative value; generating, 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; performing a second fitting process on the second distribution map to obtain a second fitting result; wherein the fitting method used in the second fitting process is determined based on data distribution characteristics of the historical second distribution map of the target monitoring area when historical rock bursts occurred; A second goodness of fit is calculated based on the second fitting result to obtain the second correlation index value.

2. 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 rod in the target monitoring area; 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 force value of the anchor rod.

3. 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; When 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 when 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 risk level as no impact risk; 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 and an anchor force value in the target monitoring area; If, within a preset time period, the coal seam stress value is less than a third preset threshold and the anchor force value is less than a fourth preset threshold, the risk level is determined to be a weak impact risk; If, within a preset time period, 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; If, within a preset time period, the coal seam stress value is greater than a third preset threshold and the anchor force value is greater than a fourth preset threshold, the danger level is determined to be a strong impact danger.

4. The method for monitoring and early warning of coal mine rock burst 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, the second correlation index value being greater than or equal to a second preset threshold, 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 dataset and the energy dataset in the current rock burst cycle respectively, so that the frequency dataset stores the ground sound frequency data of the next rock burst cycle, and the energy dataset 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.

5. 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 configured to store the ground sound frequency data into a frequency data set, and store the ground sound energy data into 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 is 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 determining unit, configured to determine, based on the energy data set and a plurality of preset energy intervals, a second correlation index value between the ground sound energy and the energy interval in the current rock burst cycle; An early warning unit, configured to determine a 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; The first determining unit is specifically configured to: determining ground sound energy data having the same acquisition time node as the ground sound frequency data, and determining an energy interval to which the ground sound energy data belongs from the multiple energy intervals; For each energy interval of the plurality of energy intervals, calculating a sum of all ground sound frequency data associated with the energy interval to obtain a frequency accumulation value; generating a first distribution graph 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 based on data distribution characteristics of the historical first distribution map of the target monitoring area when historical rock bursts occurred; Calculating a first goodness of fit based on the first fitting result to obtain the first correlation index value; The second determining unit is specifically configured to: determining an energy interval to which the ground sound energy data belongs; For each energy interval of the plurality of energy intervals, calculating a sum of all ground sound energy data associated with the energy interval to obtain an energy cumulative value; generating, 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; performing a second fitting process on the second distribution map to obtain a second fitting result; wherein the fitting method used in the second fitting process is determined based on data distribution characteristics of the historical second distribution map of the target monitoring area when historical rock bursts occurred; A second goodness of fit is calculated based on the second fitting result to obtain the second correlation index value.

6. 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 4 is implemented.

7. 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 4 is implemented.

8. 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 4 when executed by a processor.

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