Method and device for determining rock burst risk, medium, equipment and program

Abstract

The invention relates to a rock burst risk determination method and device, a medium, equipment and a program, and relates to the technical field of coal mining, the method comprises the steps that the target energy density of a target space in a mine is determined, the target space is a three-dimensional space formed by extending of an excavation working face in the direction opposite to the mining direction, and the target energy density of the target space is determined; the length of the target space is a preset propulsion distance, and the target energy density is the density of energy released by micro-seismic activity in the target space; and determining the risk of rock burst of the target space at least according to the target energy density. According to the method, the early warning capability of rock burst accidents caused by micro-earthquakes can be improved, the early warning accuracy and timeliness are improved, and effective support is provided for safe production of underground operating personnel.

Description

Technical Field

[0001] The present disclosure relates to the technical field of coal mining, and in particular, to a method, device, medium, equipment, and program for determining the risk of rock burst. Background Art

[0002] Rock burst is a typical dynamic disaster that occurs during underground coal mining, characterized by suddenness and severity, often causing serious consequences such as roadway damage, equipment damage, and casualties. With the increase in coal mining depth and the increasing complexity of mining conditions, affected by various factors such as geological structure, mining intensity, and remaining coal pillars, the frequency and degree of rock burst disasters are also increasing, and it has become the main safety hazard faced by coal mining.

[0003] In related technologies, common rock burst monitoring and early warning methods include microseismic monitoring and early warning, ground sound monitoring and early warning, drill cuttings method monitoring and early warning, borehole stress gauge monitoring and early warning, etc. Among them, microseismic monitoring technology has become one of the most commonly used means for rock burst monitoring and early warning because it can monitor the energy intensity and spatio-temporal distribution characteristics released by the fracture of overlying strata in a large range in real time. However, most of the related microseismic monitoring and analysis methods only use single indicators such as energy and frequency, resulting in low accuracy and reliability of rock burst early warning. Summary of the Invention

[0004] To overcome the problems existing in related technologies, the present disclosure provides a method, device, medium, equipment, and program for determining the risk of rock burst.

[0005] According to a first aspect of the present disclosure, a method for determining the risk of rock burst is provided, including: Determining the target energy density of a target space in a mine, where the target space is a three-dimensional space formed by extending the working face in the direction opposite to the mining direction, the length of the target space is a preset advancing distance, and the target energy density is the density of the energy released by microseismic activities in the target space; Determining the risk of rock burst occurring in the target space at least based on the target energy density.

[0006] Optionally, there are multiple microseismic sources, and the determining the target energy density of the target space includes: Obtaining the height and energy of microseismic sources in the target space from a microseismic monitoring system, where the height is the vertical distance of the microseismic source relative to the ground; Determining the product of the difference between the maximum height and the minimum height of the microseismic sources, the preset advancing distance, and the width of the working face as the microseismic volume; Determining the quotient of the sum of the energies of the microseismic sources divided by the microseismic volume as the target energy density.

[0007] Optionally, determining the risk of rock burst occurring in the target space according to at least the target energy density includes: Determining a first risk parameter and a second risk parameter of the mine; When the first risk parameter is less than the second risk parameter, determining the risk of rock burst occurring in the target space according to the first risk parameter and the target energy density; When the first risk parameter is greater than or equal to the second risk parameter, determining the risk of rock burst occurring in the target space according to the second risk parameter and the target energy density.

[0008] Optionally, determining the first risk parameter and the second risk parameter of the mine includes: Determining the average value of the microseismic energy density of multiple test spaces of the mine as the first risk parameter. The multiple test spaces are all three-dimensional spaces formed by the mining face extending along the mining direction. The lengths of the multiple test spaces are all the preset advancing distances, and the multiple test spaces do not overlap in the mining direction. The microseismic energy densities of the multiple test spaces are respectively the densities of the energy released by microseismic activities in the corresponding test spaces; When the mine has never experienced a rock burst, determining the second risk parameter as any value greater than the first risk parameter; When the mine has experienced a rock burst, determining the minimum value of the microseismic energy density of multiple impact spaces of the mine before the rock burst as the second risk parameter. The multiple impact spaces are all three-dimensional spaces formed by the mining face extending along the mining direction at the corresponding impact positions. The lengths of the multiple impact spaces are all the preset advancing distances. The microseismic energy densities of the multiple impact spaces are respectively the densities of the energy released by microseismic activities in the corresponding impact spaces.

[0009] Optionally, when the first risk parameter is less than the second risk parameter, determining the risk of rock burst occurring in the target space according to the first risk parameter and the target energy density includes: When the target energy density is less than the first preset multiple of the first risk parameter, determining that there is no risk of rock burst occurring in the target space; When the target energy density is greater than or equal to the first preset multiple of the first risk parameter and less than the second preset multiple of the first risk parameter, determining that there is a low risk of rock burst occurring in the target space; When the target energy density is greater than or equal to the second preset multiple of the first risk parameter and less than the third preset multiple of the first risk parameter, determining that there is a medium risk of rock burst occurring in the target space; When the target energy density is greater than or equal to three times the first risk parameter, it is determined that there is a high risk of rock burst occurring in the target space, and the first preset multiple, the second preset multiple, and the third preset multiple increase in sequence.

[0010] Optionally, when the first risk parameter is greater than or equal to the second risk parameter, determining the risk of rock burst occurring in the target space according to the second risk parameter and the target energy density includes: When the target energy density is less than four times the second risk parameter, it is determined that there is no risk of rock burst occurring in the target space; When the target energy density is greater than or equal to four times the second risk parameter and less than five times the second risk parameter, it is determined that there is a low risk of rock burst occurring in the target space; When the target energy density is greater than or equal to five times the second risk parameter and less than six times the second risk parameter, it is determined that there is a medium risk of rock burst occurring in the target space; When the target energy density is greater than or equal to six times the second risk parameter, it is determined that there is a high risk of rock burst occurring in the target space, and the fourth preset multiple, the fifth preset multiple, and the sixth preset multiple increase in sequence.

[0011] According to a second aspect of the present disclosure, there is provided a device for determining the risk of rock burst, including: A first determination module, configured to determine the target energy density of a target space, where the target space is a three-dimensional space formed by extending the mining face in the direction opposite to the mining direction, the length of the target space is a preset advancing distance, and the target energy density is the density of the energy released by microseismic activities in the target space; A second determination module, configured to determine the risk of rock burst occurring in the target space at least according to the target energy density.

[0012] According to a third aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of any one of the methods provided in the first aspect of the present disclosure are implemented.

[0013] According to a fourth aspect of the present disclosure, there is provided an electronic device, including: A memory, on which a computer program is stored; A processor, configured to execute the computer program in the memory to implement the steps of any one of the methods provided in the first aspect of the present disclosure.

[0014] According to a fifth aspect of the present disclosure, there is provided a computer program which, when executed by a processor, implements the steps of the method according to any one of the first aspect of the present disclosure.

[0015] In the above technical solution, by monitoring the energy density released by microseismic activities in the target space extending in front of the mining and excavation working face, the degree of rock mass failure in this space can be more accurately reflected; taking the microseismic energy density as an evaluation index can more accurately predict the risk of rock burst in the target space. Compared with using only indicators such as energy and frequency, the accuracy and reliability of early warning can be improved.

[0016] Other features and advantages of the present disclosure will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the present disclosure, and constitute a part of the specification. Together with the following specific implementation, they are used to explain the present disclosure, but do not constitute a limitation to the present disclosure. In the accompanying drawings: Figure 1 is a flowchart of a method for determining the risk of rock burst according to an exemplary embodiment; Figure 2 is a top view of a target space in a mine according to an exemplary embodiment; Figure 3 is a top view of multiple test spaces in a mine according to an exemplary embodiment; Figure 4 is a top view of multiple impact spaces in a mine according to an exemplary embodiment; Figure 5 is a schematic diagram of determining the risk of rock burst in a target space according to a first risk parameter and a target energy density according to an exemplary embodiment; Figure 6 is a schematic diagram of determining the risk of rock burst in a target space according to a second risk parameter and a target energy density according to an exemplary embodiment; Figure 7 is a device for determining the risk of rock burst according to an exemplary embodiment; Figure 8 is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The following provides a detailed description of the specific implementation of the present disclosure in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.

[0019] It should be noted that all actions of obtaining signals, information, or data in this disclosure are carried out on the premise of complying with the corresponding data protection regulations and policies of the country where the location is located, and with the authorization given by the corresponding device owners.

[0020] Parts and features of some embodiments may be included in or replace parts and features of other embodiments. The scope of the embodiments herein includes the entire scope of the claims and all available equivalents of the claims. In this document, the terms "first", "second", etc. are only used to distinguish one element from another element, and do not require or imply any actual relationship or order between these elements. In fact, the first element can also be called the second element, and vice versa. Moreover, the term "including" is intended to cover non-exclusive inclusion, so that data or devices including a series of elements not only include those elements, but also other elements not explicitly listed. In this document, unless otherwise specified, the term "plurality" means two or more.

[0021] It should be understood that although the steps in the flowchart are sequentially shown according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this document, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the figure may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0022] Each module in the device of this application can be implemented in whole or in part by software, hardware, and their combination. The above-mentioned modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to each of the above modules.

[0023] Figure 1 is a flowchart of a method for determining the risk of rock burst according to an exemplary embodiment. Refer to Figure 1 The method includes the following steps: In step 110, determine the target energy density of the target space in the mine. The target space is a three-dimensional space formed by extending the excavation working face in the direction opposite to the mining direction. The length of the target space is a preset advancing distance, and the target energy density is the density of the energy released by microseismic activities in the target space; In step 120, determine the risk of rock burst occurring in the target space at least based on the target energy density.

[0024] Here, the mining face refers to the area in an underground mine where excavation operations are carried out. The mining direction is the direction in which the excavation operation advances towards the mining area. Figure 2 is a top view of the target space in a mine shown according to an exemplary embodiment, referring to Figure 2 , the target space refers to a three-dimensional space formed by extending in the direction opposite to the mining direction behind the mining face. The length of this space is a preset advance distance. The preset advance distance is a pre-determined value, which can be set between 50 meters and 100 meters, and a suitable value can be selected within this range according to specific engineering requirements.

[0025] The target energy density refers to the ratio of the total energy released due to microseismic activity to the volume of the space within the target space. This ratio can quantitatively reflect the density of the microseismic activity energy distribution within the target space range.

[0026] It should be clearly pointed out that within the target space, the energy released by the microseismic source is not directly equal to the target energy density. The target energy density actually refers to the distribution of the energy released by the microseismic source within the target space, that is, the average distribution degree of this energy in the entire target space. In other words, the target energy density is a measure of the energy value per unit volume of the energy released by the microseismic source within the target space.

[0027] Rock burst is a catastrophic accident caused by the sudden instability of coal seams or rock strata and the release of a large amount of energy. The target energy density can reflect the density of the energy released by microseismic activity within the target space, and these microseismic activities are correlated with the occurrence of rock bursts. Microseismic activity indicates that energy is accumulating inside the rock mass. If the energy cannot be released and accumulates to a certain extent, it may trigger a rock burst. The higher the target energy density, the more concentrated the energy within the target space, and the easier it is to cause local accumulation and sudden release of energy, thus increasing the risk of rock burst. Therefore, by measuring the target energy density, the risk of rock burst occurring in the target space can be indirectly evaluated. If the target energy density is relatively high, it can indicate that the risk of rock burst in this target space is relatively large.

[0028] Thus, by monitoring the energy density released by microseismic activity in the target space extending in front of the mining face, the degree of rock mass failure within this space can be more accurately reflected; taking the microseismic energy density as an evaluation index can more accurately predict the risk of rock burst occurring in the target space. Compared with using only indicators such as energy and frequency, the accuracy and reliability of early warning can be improved.

[0029] In one embodiment, there are multiple microseismic sources. Determining the target energy density of the target space may include: obtaining the height and energy of the microseismic sources in the target space from the microseismic monitoring system, where the height is the vertical distance of the microseismic source relative to the ground; determining the microseismic volume by multiplying the difference between the maximum height and the minimum height of the microseismic sources, the preset advance distance, and the width of the mining face; and determining the target energy density by dividing the sum of the energies of the microseismic sources by the microseismic volume.

[0030] Here, the microseismic monitoring system includes a microseismic sensor array. The microseismic sensor array is a group of highly sensitive seismic sensors evenly distributed in the mine, used to monitor microseismic events occurring in the mine in real time. The height and energy of the microseismic sources in the target space can be obtained through the microseismic monitoring system.

[0031] The difference between the maximum height and the minimum height of the microseismic sources reflects the distribution range of the microseismic sources in the vertical direction. The microseismic volume refers to the three-dimensional space volume of the whole composed of all microseismic sources in the target space, which is obtained by multiplying three parameters: the difference between the maximum height and the minimum height of the microseismic sources, the preset advance distance, and the width of the mining face. The target energy density is determined by dividing the sum of the energies of the microseismic sources by the microseismic volume, that is, the target energy density can be calculated by formula (1).

[0032] (1) where E is the target energy density, V is the microseismic volume, i is the number of the microseismic sources in the target space, is the sum of the energies of the microseismic sources.

[0033] Through the above calculation method of the target energy density, the density of the energy released by the microseismic sources in the target space can be quantified more comprehensively, so that the risk of rock burst can be determined more accurately.

[0034] In one embodiment, determining the risk of rock burst occurring in the target space at least according to the target energy density may include: determining the first risk parameter and the second risk parameter of the mine; in the case where the first risk parameter is less than the second risk parameter, determining the risk of rock burst occurring in the target space according to the first risk parameter and the target energy density; in the case where the first risk parameter is greater than or equal to the second risk parameter, determining the risk of rock burst occurring in the target space according to the second risk parameter and the target energy density.

[0035] Here, before determining the risk of rock burst in the target space, two warning indicators need to be determined first: the first risk parameter and the second risk parameter. The first risk parameter is calculated based on the test data of mines without rock bursts, while the second risk parameter is calculated based on the historical data of mines that have experienced rock bursts. Compare these two parameters and take the smaller value of the two as the reference risk parameter. Then, compare this reference risk parameter with the target energy density to determine the risk of rock burst in the target space.

[0036] Exemplarily, according to the first risk parameter E1 and the target energy density E, the risk of rock burst is discriminated: if E < k1E1, there is no risk of rock burst; if E ≥ k1E1, there is a risk of rock burst. According to the second risk parameter E2 and the target energy density E, the risk of rock burst is discriminated in the same way: if E < k2E2, there is no risk of rock burst; if E ≥ k2E2, there is a risk of rock burst. Wherein, k1 and k2 are the preset multiples of the first risk parameter and the second risk parameter respectively, and specific values can be set according to experience.

[0037] The above method can compare the target energy density based on test data and historical data, so as to more accurately determine the risk of rock burst in the target space.

[0038] In one embodiment, the determination of the first risk parameter and the second risk parameter of the mine may include: determining the mean value of the microseismic energy density of multiple test spaces of the mine as the first risk parameter. The multiple test spaces are all three-dimensional spaces formed by the mining face extending along the mining direction. The lengths of the multiple test spaces are all the preset advancing distances, and the multiple test spaces do not overlap in the mining direction. The microseismic energy densities of the multiple test spaces are respectively the densities of the energy released by microseismic activities in the corresponding test spaces; in the case that the mine has never experienced a rock burst, determine the second risk parameter as any value greater than the first risk parameter; in the case that the mine has experienced a rock burst, determine the minimum value of the microseismic energy density of multiple impact spaces of the mine before the occurrence of the rock burst as the second risk parameter. The multiple impact spaces are all three-dimensional spaces formed by the mining face extending along the mining direction at the corresponding impact positions. The lengths of the multiple impact spaces are all the preset advancing distances, and the microseismic energy densities of the multiple impact spaces are respectively the densities of the energy released by microseismic activities in the corresponding impact spaces.

[0039] Figure 3 is a top view of multiple test spaces of a mine shown according to an exemplary embodiment. Refer to Figure 3 , the first risk parameter can be obtained through the following test method. First, select multiple test spaces of the mine (atFigure 3 Among them are m), and these spaces extend along the mining direction of the mining face to form a three-dimensional space with a preset advancing distance length, and the selected test spaces do not overlap in the mining direction. Secondly, calculate the energy density released by microseismic activities in each test space. The specific algorithm is the same as that of the target energy density to ensure the referenceability of the first risk parameter. Finally, take the average value of the microseismic energy densities of all test spaces, and determine this average value as the first risk parameter of the mine.

[0040] If rock bursts have never occurred in the mine, the second risk parameter can be set to any value greater than the first risk parameter to maintain the logical coherence of the method. If rock bursts have occurred in the mine, it is necessary to further calculate the second risk parameter. Figure 4 is a top view of multiple impact spaces of a mine shown according to an exemplary embodiment ( Figure 4 Among them are n). As Figure 4 shown, the impact spaces extend along the mining direction at the locations where historical rock bursts occurred (impact locations), and are also three-dimensional spaces with a preset advancing distance length. Similar to the test spaces, calculate the microseismic energy density of each impact space. It should be noted that the microseismic energy density of the impact space is calculated through the historical data of the microseismic monitoring system, specifically the height and energy of the seismic sources before rock bursts occurred in the impact spaces of the microseismic monitoring system. Then, select a minimum value from the microseismic energy densities of these impact spaces as the second risk parameter.

[0041] By adopting a method similar to the target energy density to calculate the average value of the microseismic energy densities in multiple test spaces to determine the first risk parameter and the minimum value of the microseismic energy densities in the impact spaces to determine the second risk parameter, accidental deviations of individual test points or impact points can be avoided, and more objective and representative parameters can be obtained.

[0042] In one embodiment, when the first risk parameter is less than the second risk parameter, determining the risk of rock burst occurring in the target space according to the first risk parameter and the target energy density may include: when the target energy density is less than a first preset multiple of the first risk parameter, determining that there is no risk of rock burst occurring in the target space; when the target energy density is greater than or equal to the first preset multiple of the first risk parameter and less than a second preset multiple of the first risk parameter, determining that there is a low risk of rock burst occurring in the target space; when the target energy density is greater than or equal to the second preset multiple of the first risk parameter and less than a third preset multiple of the first risk parameter, determining that there is a medium risk of rock burst occurring in the target space; when the target energy density is greater than or equal to the third preset multiple of the first risk parameter, determining that there is a high risk of rock burst occurring in the target space, and the first preset multiple, the second preset multiple, and the third preset multiple increase in sequence.

[0043] Here, the first preset multiple, the second preset multiple, and the third preset multiple can be preset according to relevant experience. For example, they can be set to 1.5, 2, and 4 respectively. This setting method can reflect the progressive relationship of different risk levels. Corresponding early warnings are made according to different risk levels. Figure 5 is a schematic diagram showing the determination of the risk of rock burst occurring in the target space according to the first risk parameter and the target energy density shown in an exemplary embodiment. Refer to Figure 5 , E is the target energy density, and E1 is the first risk parameter.

[0044] Determine the risk of rock burst according to the first risk parameter E1. When E < 1.5E1, determine that there is no risk of no rock burst; when 1.5E1 ≤ E < 2E1, determine that there is a low risk of rock burst and initiate a yellow early warning; when 2E1 ≤ E < 4E1, determine that there is a medium risk of rock burst and initiate an orange early warning; when E > 4E1, determine that there is a high risk of rock burst and initiate a red early warning.

[0045] By setting different preset multiple thresholds and comparing the target energy density with the first risk parameter, the risk levels of rock burst occurring in the mine can be effectively identified and classified, so as to provide more comprehensive early warning information.

[0046] In one embodiment, when the first risk parameter is greater than or equal to the second risk parameter, determining the risk of rock burst occurring in the target space according to the second risk parameter and the target energy density may include: when the target energy density is less than four times the second risk parameter, determining that there is no risk of rock burst occurring in the target space; when the target energy density is greater than or equal to four times the second risk parameter and less than five times the second risk parameter, determining that there is a low risk of rock burst occurring in the target space; when the target energy density is greater than or equal to five times the second risk parameter and less than six times the second risk parameter, determining that there is a medium risk of rock burst occurring in the target space; when the target energy density is greater than or equal to six times the second risk parameter, determining that there is a high risk of rock burst occurring in the target space, and the fourth preset multiple, the fifth preset multiple, and the sixth preset multiple increase in sequence.

[0047] Here, the first preset multiple, the second preset multiple, and the third preset multiple can be preset according to relevant experience. For example, they can be set to 1, 1.5, and 2 respectively. This setting method can reflect the progressive relationship of different risk levels and give corresponding early warnings according to different risk levels. Figure 6 is a schematic diagram showing the determination of the risk of rock burst occurring in the target space according to the second risk parameter and the target energy density according to an exemplary embodiment. Refer to Figure 6 , where E is the target energy density and E2 is the second risk parameter.

[0048] Determine the risk of rock burst according to the second risk parameter E2. When E < E2, determine that there is no risk of no rock burst; when E2 ≤ E < 1.5E2, determine that there is a low risk of rock burst and start a yellow early warning; when 1.5E2 ≤ E < 2E2, determine that there is a medium risk of rock burst and start an orange early warning; when E > 2E2, determine that there is a high risk of rock burst and start a red early warning.

[0049] By setting different preset multiple thresholds and comparing the target energy density with the second risk parameter, the risk level of rock burst occurring in the mine can be effectively identified and classified, so as to provide more comprehensive early warning information.

[0050] Figure 7 is a structural diagram of a device 700 for determining the risk of rock burst according to an exemplary embodiment. Refer to Figure 7 , the device for determining the risk of rock burst includes: The first determination module 710 is configured to determine the target energy density of a target space in a mine. The target space is a three-dimensional space formed by extending the mining face in the direction opposite to the mining direction. The length of the target space is a preset advancing distance, and the target energy density is the density of the energy released by microseismic activities in the target space. The second determination module 720 is configured to determine the risk of rock burst occurring in the target space at least based on the target energy density.

[0051] Optionally, there are multiple microseismic sources. The first determination module 710 includes: An acquisition module, configured to acquire the height and energy of the microseismic sources in the target space from a microseismic monitoring system. The height is the vertical distance of the microseismic source relative to the ground. A third determination module, configured to determine the product of the difference between the maximum height and the minimum height of the microseismic sources, the preset advancing distance, and the width of the mining face as the microseismic volume. A fourth determination module, configured to determine the quotient of the sum of the energies of the microseismic sources divided by the microseismic volume as the target energy density.

[0052] Optionally, the second determination module 720 includes: A fifth determination module, configured to determine a first risk parameter and a second risk parameter of the mine. A sixth determination module, configured to, when the first risk parameter is less than the second risk parameter, determine the risk of rock burst occurring in the target space according to the first risk parameter and the target energy density. A seventh determination module, configured to, when the first risk parameter is greater than or equal to the second risk parameter, determine the risk of rock burst occurring in the target space according to the second risk parameter and the target energy density.

[0053] Optionally, the fifth determination module is configured to: Determine the average value of the microseismic energy densities of multiple test spaces in the mine as the first risk parameter. The multiple test spaces are all three-dimensional spaces formed by extending the mining face in the mining direction. The lengths of the multiple test spaces are all the preset advancing distance, and the multiple test spaces do not overlap in the mining direction. The microseismic energy densities of the multiple test spaces are respectively the densities of the energies released by microseismic activities in the corresponding test spaces. When no rock burst has occurred in the mine, determine the second risk parameter as any value greater than the first risk parameter. In the case where rock bursts have occurred in the mine, the minimum value of the microseismic energy density of multiple impact spaces in the mine before a rock burst occurs is determined as the second risk parameter. The multiple impact spaces are all three-dimensional spaces formed by the excavation working face extending along the mining direction at corresponding impact positions. The lengths of the multiple impact spaces are all the preset advancing distances, and the microseismic energy densities of the multiple impact spaces are respectively the densities of the energy released by microseismic activities in the corresponding impact spaces.

[0054] Optionally, the sixth determination module is configured to: In the case where the target energy density is less than the first preset multiple of the first risk parameter, it is determined that there is no risk of a rock burst occurring in the target space; In the case where the target energy density is greater than or equal to the first preset multiple of the first risk parameter and less than the second preset multiple of the first risk parameter, it is determined that there is a low risk of a rock burst occurring in the target space; In the case where the target energy density is greater than or equal to the second preset multiple of the first risk parameter and less than the third preset multiple of the first risk parameter, it is determined that there is a medium risk of a rock burst occurring in the target space; In the case where the target energy density is greater than or equal to the third preset multiple of the first risk parameter, it is determined that there is a high risk of a rock burst occurring in the target space. The first preset multiple, the second preset multiple, and the third preset multiple increase in sequence.

[0055] Optionally, the seventh determination module is configured to: In the case where the target energy density is less than the fourth preset multiple of the second risk parameter, it is determined that there is no risk of a rock burst occurring in the target space; In the case where the target energy density is greater than or equal to the fourth preset multiple of the second risk parameter and less than the fifth preset multiple of the second risk parameter, it is determined that there is a low risk of a rock burst occurring in the target space; In the case where the target energy density is greater than or equal to the fifth preset multiple of the second risk parameter and less than the sixth preset multiple of the second risk parameter, it is determined that there is a medium risk of a rock burst occurring in the target space; In the case where the target energy density is greater than or equal to the sixth preset multiple of the second risk parameter, it is determined that there is a high risk of a rock burst occurring in the target space. The fourth preset multiple, the fifth preset multiple, and the sixth preset multiple increase in sequence.

[0056] Regarding the device in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated herein.

[0057] Figure 8 is a block diagram of an electronic device 800 shown according to an exemplary embodiment. As Figure 8 shown, the electronic device 800 may include: a processor 801, a memory 802. The electronic device 800 may further include one or more of a multimedia component 803, an input / output (I / O) interface 804, and a communication component 805.

[0058] Among them, the processor 801 is used to control the overall operation of the electronic device 800 to complete all or part of the steps in the above method for determining the risk of rock burst. The memory 802 is used to store various types of data to support the operation of the electronic device 800. These data may include, for example, instructions for any application or method operating on the electronic device 800, as well as application-related data, such as contact data, sent and received messages, pictures, audio, video, and so on. The memory 802 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, a magnetic disk, or an optical disc. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 802 or sent through the communication component 805. The audio component further includes at least one speaker for outputting audio signals. The I / O interface 804 provides an interface between the processor 801 and other interface modules, and the above other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the electronic device 800 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, near field communication (NFC), 2G, 3G, 4G, NB-IoT, eMTC, or other 5G, etc., or a combination of one or more of them is not limited here. Therefore, the corresponding communication component 805 may include: a Wi-Fi module, a Bluetooth module, an NFC module, and so on.

[0059] In an exemplary embodiment, the electronic device 800 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, and is used to execute the above method for determining the risk of rock burst.

[0060] In another exemplary embodiment, a computer-readable storage medium including program instructions is further provided. When the program instructions are executed by a processor, the steps of the above method for determining the risk of rock burst are implemented. For example, the computer-readable storage medium may be the above-mentioned memory 802 including program instructions, and the above program instructions may be executed by the processor 801 of the electronic device 800 to complete the above method for determining the risk of rock burst.

[0061] In another exemplary embodiment, a computer program is further provided. The computer program is a computer program that can be executed by a programmable device, and the computer program has a code part for executing the above method for determining the risk of rock burst when executed by the programmable device.

[0062] The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings. However, the present disclosure is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present disclosure, various simple modifications can be made to the technical solutions of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0063] In addition, it should be noted that, in the above specific embodiments, the various specific technical features described can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the present disclosure will not separately describe various possible combination manners.

[0064] In addition, any combination can be made between various different embodiments of the present disclosure as long as it does not violate the idea of the present disclosure, and it should also be regarded as the content disclosed by the present disclosure.

Claims

1. A method for determining rock burst risk, characterized in that: include: Determine a target energy density of a target space in a mine, wherein the target space is a three-dimensional space formed by extending the mining face in a direction opposite to the mining direction, the length of the target space is a preset advancement distance, and the target energy density is the density of energy released by microseismic activity in the target space; The risk of rock burst occurring in the target space is determined at least according to the target energy density.

2. The method according to claim 1, characterized in that There are multiple microseismic sources, and the target energy density of the target space is determined, including: Acquire the height and energy of the microseismic source in the target space from the microseismic monitoring system, wherein the height is the vertical distance of the microseismic source relative to the ground; The microseismic volume is determined by multiplying the difference between the maximum height and the minimum height of the microseismic source, the preset advancement distance, and the width of the mining working face; The target energy density is determined by dividing the sum of the energies of the microseismic sources by the microseismic volume.

3. The method according to claim 1, characterized in that The step of determining the risk of rock burst in the target space at least according to the target energy density includes: determining a first risk parameter and a second risk parameter of the mine; When the first risk parameter is less than the second risk parameter, determining the risk of rock burst occurring in the target space according to the first risk parameter and the target energy density; When the first risk parameter is greater than or equal to the second risk parameter, the risk of rock burst occurring in the target space is determined according to the second risk parameter and the target energy density.

4. The method according to claim 3, characterized in that The determining of the first risk parameter and the second risk parameter of the mine includes: Determine the mean value of the microseismic energy density of multiple test spaces of the mine as the first risk parameter, wherein the multiple test spaces are all three-dimensional spaces formed by the extension of the mining working face along the mining direction, the lengths of the multiple test spaces are all the preset advancement distances, and the multiple test spaces do not overlap in the mining direction, and the microseismic energy densities of the multiple test spaces are respectively the densities of energy released by microseismic activities in the corresponding test spaces; In the case that rock burst has not occurred in the mine, determining the second risk parameter to be an arbitrary value greater than the first risk parameter; In the event that rock burst has occurred in the mine, the minimum value of the microseismic energy density of multiple impact spaces in the mine before the rock burst occurs is determined as the second risk parameter, the multiple impact spaces are all three-dimensional spaces formed by the mining working face at the corresponding impact positions extending along the mining direction, the lengths of the multiple impact spaces are all the preset advancement distances, and the microseismic energy densities of the multiple impact spaces are respectively the densities of energy released by microseismic activities in the corresponding impact spaces.

5. The method according to claim 3, characterized in that: The step of determining the risk of rock burst occurring in the target space according to the first risk parameter and the target energy density when the first risk parameter is less than the second risk parameter includes: When the target energy density is less than a first preset multiple of the first risk parameter, determining that there is no risk of rock burst in the target space; When the target energy density is greater than or equal to a first preset multiple of the first risk parameter and less than a second preset multiple of the first risk parameter, determining that there is a low risk of rock burst in the target space; When the target energy density is greater than or equal to a second preset multiple of the first risk parameter and less than a third preset multiple of the first risk parameter, determining that the target space has a medium risk of rock burst; When the target energy density is greater than or equal to a third preset multiple of the first risk parameter, it is determined that there is a strong risk of rock burst in the target space, and the first preset multiple, the second preset multiple and the third preset multiple increase in sequence.

6. The method according to claim 3, characterized in that: The step of determining the risk of rock burst occurring in the target space according to the second risk parameter and the target energy density when the first risk parameter is greater than or equal to the second risk parameter includes: When the target energy density is less than a fourth preset multiple of the second risk parameter, determining that there is no risk of rock burst in the target space; When the target energy density is greater than or equal to a fourth preset multiple of the second risk parameter and less than a fifth preset multiple of the second risk parameter, determining that there is a low risk of rock burst occurring in the target space; When the target energy density is greater than or equal to a fifth preset multiple of the second risk parameter and less than a sixth preset multiple of the second risk parameter, determining that the target space has a medium risk of rock burst; When the target energy density is greater than or equal to the sixth preset multiple of the second risk parameter, it is determined that there is a strong risk of rock burst in the target space, and the fourth preset multiple, the fifth preset multiple and the sixth preset multiple increase in sequence.

7. A device for determining rock burst risk, characterized in that: include: A first determination module is used to determine a target energy density of a target space, wherein the target space is a three-dimensional space formed by the mining face extending in a direction opposite to the mining direction, the length of the target space is a preset advancement distance, and the target energy density is the density of energy released by microseismic activity in the target space; The second determination module is used to determine the risk of rock burst in the target space at least according to the target energy density.

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

9. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 6.

10. A computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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