Rock burst prediction method and device based on energy adjustment identification of coal-rock system

Abstract

The present invention relates to a rock burst prediction method and device based on energy adjustment identification in coal-rock systems. The method comprises the following steps: using monitoring equipment to extract stress-strain data from a monitoring area and construct a three-dimensional energy distribution volume cloud map of the monitoring area; based on the three-dimensional energy distribution volume cloud map, constructing a functional model of energy adjustment distribution using time as an analysis variable to describe energy transfer characteristics; and predicting the likelihood of rock burst based on the energy transfer characteristics. This rock burst prediction method based on energy adjustment identification in coal-rock systems can determine the location and timing of rock burst occurrence.

Description

Technical Field

[0001] The present invention relates to a method and device for predicting rock burst based on energy adjustment and identification of a coal-rock system, belonging to the technical field of coal mine safety. Background Art

[0002] Rock burst is a dynamic phenomenon characterized by the sudden and violent destruction of coal and rock masses in mine tunnels or around mining areas due to the instantaneous release of elastic deformation energy. It is one of the major hazards faced by coal mining. Currently, the number of mines in my country experiencing rock burst has rapidly increased from 32 in 1985 to 132, accounting for 400 million tons of coal production, accounting for approximately 10% of the annual coal output in 2020. The safety of mines experiencing rock burst has a significant impact on economic development and social stability. Due to the sudden and destructive nature of rock burst, rock burst accidents in my country's coal mines have caused more than 400 deaths and thousands of injuries since 2003. Therefore, conducting research on rock burst and achieving accurate predictions have important academic and practical significance.

[0003] Due to the complex conditions of coal mines and the constraints of static geological and dynamic conditions, there are great uniformity, regularity and differences. The currently commonly used means of predicting rock burst pressure are mainly indirect monitoring methods such as drill cuttings monitoring, ground sound monitoring, microseismic monitoring, and coal seam stress. The possibility of rock burst pressure disasters has not been directly monitored from an energy perspective. Summary of the Invention

[0004] In view of the above problems, the purpose of the present invention is to provide a rock burst prediction method and device based on energy adjustment identification of coal-rock system, which can determine the location and timing of rock burst occurrence.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] In a first aspect, the present invention provides a method for predicting rock burst based on energy adjustment and identification of a coal-rock system, comprising the steps of:

[0007] Use monitoring equipment to extract stress-strain data in the monitoring area and construct a three-dimensional energy distribution volume cloud map of the monitoring area;

[0008] Based on the three-dimensional energy distribution volume cloud map, a functional model of energy adjustment distribution is constructed with time as the analysis variable to describe the energy transfer characteristics;

[0009] The possibility of rock burst occurrence is predicted based on the energy transfer characteristics.

[0010] Furthermore, the three-dimensional energy distribution volume cloud map is calculated using formula (1):

[0011]

[0012] In formula (1), x, y, z, and t represent the position coordinates and time, respectively; E represents the total energy of the coal-rock system; E represents the mean energy of the coal-rock system;

[0013] n is the number of grids divided into the detection area, x n is the horizontal coordinate of the nth grid, y n is the vertical coordinate of the nth grid, z n is the vertical coordinate of the nth grid, x1 is the horizontal coordinate of the first grid, y1 is the vertical coordinate of the first grid, z1 is the vertical coordinate of the first grid, t1 represents the starting point of the monitoring period, t n It represents the end point of the monitoring period, and J represents the energy value accumulated in the monitoring area at a certain time within a monitoring period.

[0014] Furthermore, the energy transfer characteristic S is shown in formula (2).

[0015]

[0016] In formula (2), x, y, z, and t represent the position coordinates and time, respectively; E represents the total energy of the coal-rock system; and E represents the mean energy of the coal-rock system.

[0017] Furthermore, the possibility of rock burst is predicted based on the energy transfer characteristics, specifically including predicting the possibility of rock burst according to formula (3), which is:

[0018]

[0019] Where w is the critical value of rock burst caused by rapid energy adjustment.

[0020] In a second aspect, the present invention further provides a rock burst prediction device based on energy adjustment and identification of a coal-rock system, comprising:

[0021] The first processing unit uses the monitoring equipment to extract stress-strain data of the monitoring area and construct a three-dimensional energy distribution volume cloud map of the monitoring area;

[0022] A second processing unit, based on the three-dimensional energy distribution volume cloud map and taking time as an analysis variable, constructs a functional model of energy adjustment distribution to describe energy transfer characteristics;

[0023] The third processing unit predicts the possibility of rock burst occurrence based on the energy transfer characteristics.

[0024] In a third aspect, the present invention further provides a computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the rock burst prediction method based on energy adjustment and identification of the coal-rock system when executed by a processor.

[0025] In a fourth aspect, the present invention also provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for predicting rock burst based on energy adjustment and identification of the coal-rock system is implemented.

[0026] Since the present invention adopts the above technical solution, it has the following advantages: the rock burst prediction method and device based on coal-rock system energy adjustment and identification provided by the present invention directly monitors the possibility of rock burst disasters from an energy perspective, and can determine the location and timing of rock burst occurrence. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] By reading the detailed description of the preferred embodiment below, various other advantages and benefits will become clear to those skilled in the art. The accompanying drawings are only used to illustrate the preferred embodiment and are not to be considered as limitations of the present invention. Throughout the accompanying drawings, the same reference numerals are used to represent the same components.

[0028] In the attached figure:

[0029] Figure 1 It is a diagram of the law of increasing entropy;

[0030] Figure 2 The entropy value represents the uniformity of energy distribution. DETAILED DESCRIPTION

[0031] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. Rather, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0032] The present invention provides a rock burst prediction method based on energy adjustment identification in coal-rock systems. The method comprises the following steps: using monitoring equipment to extract stress-strain data from the monitoring area and construct a three-dimensional energy distribution volume cloud map of the monitoring area; based on the three-dimensional energy distribution volume cloud map, using time as an analysis variable, constructing a functional model of energy adjustment distribution to describe energy transfer characteristics; and predicting the likelihood of rock burst occurrence based on the energy transfer characteristics. This rock burst prediction method based on energy adjustment identification in coal-rock systems can determine the location and timing of rock burst occurrence.

[0033] The basic principles of the rock burst prediction method based on coal-rock system energy adjustment and identification provided by the present invention include:

[0034] (1) Law of increasing entropy

[0035] Entropy is a measure of the degree of disorder in a system in thermodynamics. A higher entropy value indicates a higher degree of disorder, and a lower entropy value indicates a lower degree of disorder. Figure 1 As shown in the figure, the law of increasing entropy means that in the absence of external interference, the system always spontaneously changes in the direction of increasing chaos, which always increases the entropy value of the entire system.

[0036] (2) Explaining energy transfer adjustment based on the law of entropy increase

[0037] After the coal-rock system is disrupted by external energy input, it will spontaneously adjust the energy distribution. The initially relatively concentrated high energy will be transferred and diffused to the surrounding area, and the initially relatively dispersed low energy will be increased by the transferred high energy. In general, during the energy adjustment and distribution process, each point will spontaneously tend to be less concentrated, so that the total energy of the system tends to be evenly distributed over the largest range. Figure 2 As shown in Figure 2, the entropy value is used to characterize the uniformity of energy distribution in the coal-rock system. A relatively concentrated energy distribution indicates a lower entropy value, and a relatively dispersed energy distribution indicates a higher entropy value.

[0038] (3) Explanation of rock burst based on energy transfer adjustment

[0039] According to the law of increasing entropy, the energy distribution within a coal-rock system will naturally tend toward maximum uniform dispersion. This means that energy in the system is always spontaneously transferred and dispersed. Different rates of energy release during this energy transfer and dispersion process correspond to different mine pressure manifestations: slower energy release corresponds to slow deformation phenomena such as spalling and floor heave, while faster energy release corresponds to dynamic phenomena such as rock burst.

[0040] The method for predicting rock burst using energy adjustment and identification in a coal-rock system provided by an embodiment of the present invention comprises the following steps:

[0041] S1. Use monitoring equipment to extract stress-strain data of the monitoring area and construct a three-dimensional energy distribution volume cloud map of the monitoring area;

[0042] S2. Based on the three-dimensional energy distribution volume cloud map and taking time as an analysis variable, constructing a functional model of energy adjustment distribution to describe energy transfer characteristics;

[0043] S3. Predicting the possibility of rock burst based on the energy transfer characteristics.

[0044] The three-dimensional energy distribution volume cloud map is calculated using formula (1):

[0045]

[0046] In formula (1), x, y, z, and t represent the position coordinates and time, respectively; E represents the total energy of the coal-rock system; E represents the mean energy of the coal-rock system;

[0047] n is the number of grids divided into the detection area, x n is the horizontal coordinate of the nth grid, y n is the vertical coordinate of the nth grid, z n is the vertical coordinate of the nth grid, x1 is the horizontal coordinate of the first grid, y1 is the vertical coordinate of the first grid, z1 is the vertical coordinate of the first grid, t1 represents the starting point of the monitoring period, t n It represents the end point of the monitoring period, and J represents the energy value accumulated in the monitoring area at a certain time within a monitoring period.

[0048] The energy transfer characteristic S is shown in formula (2).

[0049]

[0050] In formula (2), x, y, z, and t represent the position coordinates and time, respectively; E represents the total energy of the coal-rock system; and E represents the mean energy of the coal-rock system.

[0051] Predicting the likelihood of rock burst based on the energy transfer characteristics specifically includes determining the likelihood of rock burst according to formula (3), where formula (3) is:

[0052]

[0053] Wherein, w is the critical value of rock burst caused by excessive energy adjustment. If formula (3) is satisfied, rock burst will occur; if formula (3) is not satisfied, rock burst will not occur.

[0054] The present invention also provides a rock burst prediction device based on energy adjustment and identification of coal-rock system, comprising:

[0055] The first processing unit uses the monitoring equipment to extract stress-strain data of the monitoring area and construct a three-dimensional energy distribution volume cloud map of the monitoring area;

[0056] A second processing unit, based on the three-dimensional energy distribution volume cloud map and taking time as an analysis variable, constructs a functional model of energy adjustment distribution to describe energy transfer characteristics;

[0057] The third processing unit predicts the possibility of rock burst occurrence based on the energy transfer characteristics.

[0058] An embodiment of the present invention further provides a computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the rock burst prediction method based on energy adjustment and identification of the coal-rock system when executed by a processor.

[0059] An embodiment of the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and runnable on the processor, characterized in that when the processor executes the computer program, the rock burst prediction method based on coal-rock system energy adjustment identification is implemented.

[0060] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A rock burst prediction method based on energy adjustment and identification of coal-rock system, characterized in that: Including steps: Use monitoring equipment to extract stress-strain data in the monitoring area and construct a three-dimensional energy distribution volume cloud map of the monitoring area; Based on the three-dimensional energy distribution volume cloud map, a functional model of energy adjustment distribution is constructed with time as the analysis variable to describe the energy transfer characteristics; predicting the likelihood of rock burst occurrence based on the energy transfer characteristics; The three-dimensional energy distribution volume cloud map is calculated using formula (1): （1） In formula (1), x, y, z, and t represent position coordinates and time respectively; E It represents the total energy of coal-rock system; n is the number of grids divided into the detection area, x n is the horizontal coordinate of the nth grid, y n is the vertical coordinate of the nth grid, z n is the vertical coordinate of the nth grid, x1 is the horizontal coordinate of the first grid, y1 is the vertical coordinate of the first grid, z1 is the vertical coordinate of the first grid, t1 represents the starting point of the monitoring period, t n represents the end point of the monitoring period, and J represents the energy value accumulated in the monitoring area at a certain time within a monitoring period; The energy transfer characteristic S is shown in formula (2): （2） In formula (2), Represents the mean energy of the coal-rock system.

2. The rock burst prediction method based on coal-rock system energy adjustment and identification according to claim 1 is characterized in that: Predicting the possibility of rock burst based on the energy transfer characteristics specifically includes predicting the possibility of rock burst according to formula (3), wherein formula (3) is: （3） Where w is the critical value of rock burst caused by rapid energy adjustment.

3. A rock burst prediction device based on energy adjustment and identification of coal-rock system, characterized in that: include: The first processing unit uses the monitoring equipment to extract stress-strain data of the monitoring area and construct a three-dimensional energy distribution volume cloud map of the monitoring area; A second processing unit, based on the three-dimensional energy distribution volume cloud map and taking time as an analysis variable, constructs a functional model of energy adjustment distribution to describe energy transfer characteristics; a third processing unit, for predicting the possibility of rock burst occurrence based on the energy transfer characteristics; The three-dimensional energy distribution volume cloud map is calculated using formula (1): （1） In formula (1), x, y, z, and t represent position coordinates and time respectively; E It represents the total energy of coal-rock system; n is the number of grids divided into the detection area, x n is the horizontal coordinate of the nth grid, y n is the vertical coordinate of the nth grid, z n is the vertical coordinate of the nth grid, x1 is the horizontal coordinate of the first grid, y1 is the vertical coordinate of the first grid, z1 is the vertical coordinate of the first grid, t1 represents the starting point of the monitoring period, t n represents the end point of the monitoring period, and J represents the energy value accumulated in the monitoring area at a certain time within a monitoring period; The energy transfer characteristic S is shown in formula (2): （2） In formula (2), Represents the mean energy of the coal-rock system.

4. A computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the rock burst prediction method based on coal-rock system energy adjustment identification as described in claim 1 or 2 when executed by a processor.

5. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for predicting rock burst based on energy adjustment and identification of the coal-rock system as described in claim 1 or 2 is implemented.

Images