Coal rock ejection pattern analysis method, device and electronic equipment

Abstract

The present invention provides a method, device, and electronic device for analyzing coal rock ejection patterns. The method comprises obtaining surface displacement change information, strain change information, and the ejection time phase of the coal rock sample during pressure loading; obtaining the opening and dislocation of cracks on the coal rock sample during the ejection time phase based on the surface displacement change information; obtaining deformation stress parameters at crack monitoring points on the coal rock sample based on the strain change information; and calculating the opening and dislocation of the cracks during the ejection time phase and the deformation stress parameters at the crack monitoring points based on a preset discrimination model to obtain the ejection pattern of the coal rock sample, which includes the ejection type and ejection power source. The present invention can achieve scientific judgment of the ejection behavior of coal rock samples, significantly reducing the subjectivity and uncertainty of manual judgment, and making the identification of coal rock ejection patterns more standardized and accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of rock mechanics analysis, and in particular to a coal rock ejection pattern analysis method, a coal rock ejection pattern analysis device and an electronic device. Background Art

[0002] During coal mining, when coal has a high propensity to impact, a large amount of elastic energy accumulates within it. Once this energy reaches a critical value, the coal rock will suddenly break, accompanied by a strong ejection phenomenon. This not only damages the mining equipment but can also pose a serious threat to the safety of workers. Therefore, analyzing the ejection pattern of coal rock can predict the impact tendency and intensity of rock burst, which helps to formulate preventive measures.

[0003] The study and identification of coal rock ejection behavior primarily relies on uniaxial compression testing. This test simulates the axial pressure experienced during mining, observes crack propagation, and measures the velocity of ejected particles to attempt to identify the ejection pattern. However, this method fails to capture the full process and details of the ejection phenomenon. Furthermore, identifying coal rock ejection patterns often relies on subjective experience and judgment, which can compromise the accuracy and consistency of the results. Summary of the Invention

[0004] The present invention is based on the inventor's discovery and understanding of the following facts and problems:

[0005] Coal rock ejection often occurs during coal seam mining. Due to the compression of the coal by the surrounding rock and the stress changes caused by mining operations, cracks form and expand within the coal rock, which may eventually cause the sudden ejection of coal blocks. Uniaxial compression tests simulate the axial pressure that coal rocks may experience during mining under laboratory conditions to observe the entire process of internal crack initiation, expansion, and fracture. During the test, researchers will record key parameters such as the crack propagation path, morphology, and the velocity of the ejected block, attempting to use this data to analyze and identify the coal rock ejection pattern.

[0006] However, uniaxial compression tests have obvious limitations in capturing the entire process and details of coal rock ejection phenomena. Due to the heterogeneity and complexity of coal rock materials, the crack propagation process often exhibits a high degree of randomness and uncertainty, resulting in poor repeatability of test results.

[0007] Furthermore, existing methods for identifying coal-rock ejection patterns often rely on the subjective experience and judgment of researchers. This reliance not only increases the subjectivity of identification results but can also lead to inconsistencies due to individual differences in experience. Furthermore, due to the complexity and diversity of coal-rock ejection phenomena, it is difficult to accurately distinguish different types of ejection patterns based solely on subjective judgment, thus hindering a deeper understanding of coal-rock ejection behavior and its effective prevention and control.

[0008] To this end, embodiments of the present invention provide a coal rock ejection pattern analysis method, a coal rock ejection pattern analysis device, and an electronic device, which can realize scientific judgment of the ejection behavior of coal rock samples, significantly reduce the subjectivity and uncertainty of manual judgment, and make the identification of coal rock ejection patterns more standardized and accurate.

[0009] The coal rock ejection pattern analysis method provided by the embodiment of the present invention includes the following steps:

[0010] Acquiring surface displacement change information and strain change information of the coal rock sample during the pressure loading process and the ejection time stage of the coal rock sample;

[0011] According to the surface displacement change information, the opening degree and the displacement degree of the cracks on the coal rock sample during the ejection time stage are calculated;

[0012] According to the strain change information, a deformation stress parameter at a crack monitoring point on the coal rock sample is calculated, wherein a plurality of crack monitoring points are provided, and the plurality of crack monitoring points are respectively provided on opposite sides of the crack on the coal rock sample;

[0013] According to a preset discrimination model, the opening degree and displacement degree of the cracks on the coal rock sample during the ejection time stage and the deformation stress parameters at the crack monitoring point are calculated to obtain the ejection mode of the coal rock sample, which includes the ejection type and the ejection power source.

[0014] In summary, the coal rock ejection pattern analysis method provided by this invention can analyze the stress and strain changes that occur in coal rock samples during loading in real time and identify the ejection pattern of the coal rock samples based on these stress and strain changes. This enables scientific determination of the ejection behavior of coal rock samples, significantly reducing the subjectivity and uncertainty of manual judgment and making the identification of coal rock ejection patterns more standardized and precise. This not only helps deepen our understanding of the mechanical properties of coal rock, but also provides strong technical support for safety warnings and disaster prevention in engineering practice.

[0015] In some embodiments, the ejection type includes a tension-dominated type, a shear-dominated type, and a tension-shear composite type. The step of calculating the opening and displacement of the cracks on the coal rock sample during the ejection time period and the deformation stress parameters at the crack monitoring points according to a preset discrimination model to obtain the ejection mode of the coal rock sample includes:

[0016] According to the displacement or opening degree of the cracks on the coal rock sample during the ejection time stage, a preset fluctuation range of the displacement or opening degree of the cracks during the ejection time stage is obtained, wherein the preset fluctuation range includes a maximum fluctuation value and a minimum fluctuation value;

[0017] Based on a preset discrimination model, comparing the preset fluctuation range corresponding to one of the opening degree and the misalignment degree with the other;

[0018] If the opening degree of the crack during the ejection time period is greater than the maximum value of the preset fluctuation range corresponding to the displacement degree, or the displacement degree is less than the minimum value of the preset fluctuation range corresponding to the opening degree, then the ejection type of the coal rock sample is tension-dominated;

[0019] If the opening degree of the crack during the ejection time period is less than the minimum fluctuation value of the preset fluctuation range corresponding to the displacement degree, or the displacement degree is greater than the maximum fluctuation value of the preset fluctuation range corresponding to the opening degree, then the ejection type of the coal rock sample is shear-dominated;

[0020] Otherwise, the ejection type of the coal rock sample is a tension-shear composite type.

[0021] In some embodiments, the step of calculating the opening and displacement of the cracks on the coal rock sample based on the surface displacement change information includes:

[0022] constructing a displacement cloud map of the coal rock sample surface according to the surface displacement change information;

[0023] Based on the displacement cloud map, an inclination value of the fracture on the coal rock sample, a first displacement change parameter of a displacement monitoring point on the coal rock sample in a first direction, and a second displacement change parameter of the displacement monitoring point on the coal rock sample in a second direction are obtained, wherein the first direction and the second direction are perpendicular to each other, a plurality of displacement monitoring points are provided, and the plurality of displacement monitoring points are respectively provided on opposite sides of the fracture on the coal rock sample;

[0024] According to a preset fracture characteristic model, the inclination value, the first displacement change parameter and the second displacement change parameter are calculated to obtain the opening degree and the displacement degree of the fracture on the coal rock sample.

[0025] In some embodiments, the fracture property model includes:

[0026] Opening degree calculation formula: ;

[0027] The calculation formula of the degree of dislocation is: ;

[0028] Where, is the opening of the cracks on the coal rock sample; is the degree of dislocation of the cracks on the coal rock sample; is the first displacement change parameter of the displacement monitoring point a in the first direction; is the second displacement change parameter of the displacement monitoring point a in the second direction; is the first displacement change parameter of the displacement monitoring point b in the first direction; is the second displacement change parameter of the displacement monitoring point a in the second direction; is the inclination angle of the crack.

[0029] In some embodiments, the fracture monitoring points include parent monitoring points located in the coal rock parent body and daughter monitoring points located in the ejection daughter body; the ejection power source includes an ejection parent body type, an ejection daughter body type, and a composite type;

[0030] The step of calculating the opening and displacement of the cracks on the coal rock sample during the ejection time period and the deformation stress parameters at the crack monitoring points according to a preset discrimination model to obtain the ejection mode of the coal rock sample includes:

[0031] Based on a preset discrimination model, the deformation stress parameters of the parent monitoring point and the deformation stress parameters of the daughter monitoring point on the coal rock sample are compared, wherein the deformation stress parameters include at least tensile stress value and shear stress value;

[0032] When the tensile stress value of the parent monitoring point is greater than the tensile stress value of the daughter monitoring point, and the shear stress value of the parent monitoring point is greater than the shear stress value of the daughter monitoring point, the power source of the coal rock sample is a catapult parent type;

[0033] When the tensile stress value of the parent monitoring point is less than the tensile stress value of the daughter monitoring point, and the shear stress value of the parent monitoring point is less than the shear stress value of the daughter monitoring point, the power source of the coal rock sample is a catapult daughter type;

[0034] Otherwise, the power source of the coal rock sample is composite.

[0035] In some embodiments, the step of calculating and obtaining the deformation stress parameters at the fracture monitoring points on the coal rock sample based on the strain change information includes:

[0036] Calculating the transverse stress value, axial stress value and shear stress value of the crack monitoring point according to the strain change information;

[0037] Based on a preset tensile stress calculation model, the transverse stress value and the axial stress value are processed to obtain the tensile stress value of the crack monitoring point, where the tensile stress value is the square root of the sum of the square of the transverse stress value and the square of the axial stress value.

[0038] In some embodiments, the coal rock ejection pattern analysis method further comprises the steps of:

[0039] Constructing an opening degree and a dislocation degree curve of the coal rock sample during the ejection time stage according to the opening degree and the dislocation degree of the cracks on the coal rock sample during the ejection time stage;

[0040] Based on a preset fissure development division model, the opening degree and dislocation degree change curves are divided into a fissure development stage and an accelerated expansion stage, and the development time corresponding to the fissure development stage and the expansion time corresponding to the accelerated expansion stage are obtained;

[0041] Calculating the ejection efficiency of the coal rock sample according to the development time and the expansion time;

[0042] Based on the ejection efficiency, the ejection severity of the coal rock sample is evaluated, wherein the ejection efficiency is inversely proportional to the ejection severity.

[0043] In some embodiments, the coal rock ejection pattern analysis method further includes the steps of:

[0044] Obtain the axial pressure value borne by the coal rock sample during the pressure loading process and the cross-sectional area value of the coal rock sample;

[0045] Calculating the axial stress value borne by the coal rock sample during the pressure loading process according to the axial pressure value and the cross-sectional area value;

[0046] constructing an axial stress and axial strain curve of the coal rock sample according to the axial stress value and the strain change information;

[0047] According to the axial stress and axial strain curve, the peak time point corresponding to the stress peak of the coal rock sample during the pressure loading process is determined, and the ejection time stage is from the first time threshold before the peak time point to the second time threshold after the peak time point.

[0048] In some embodiments, the coal rock ejection pattern analysis method further includes the steps of:

[0049] Acquiring a change in speckle on the coal rock sample to obtain surface displacement change information of the coal rock sample during pressure loading, wherein speckle is provided on a first plane of the coal rock sample;

[0050] The strain change information of the coal rock sample during the pressure loading process is obtained, and the strain change information includes axial strain parameters, lateral strain parameters and shear strain parameters. A strain gauge is provided on the second plane of the coal rock sample, and the strain gauge is used to collect the strain change information of the coal rock sample during the pressure loading process.

[0051] In addition, the coal rock ejection analysis device provided by the embodiment of the present invention includes:

[0052] An acquisition module, the acquisition module is used to obtain surface displacement change information and strain change information of the coal rock sample during the pressure loading process and the ejection time stage of the coal rock sample;

[0053] a calculation module, the calculation module being configured to calculate, based on the surface displacement change information, an opening degree and a displacement degree of the crack on the coal rock sample during the ejection time stage; and further configured to calculate, based on the strain change information, a deformation stress parameter at a crack monitoring point on the coal rock sample, wherein a plurality of crack monitoring points are provided, and the plurality of crack monitoring points are respectively located on opposite sides of the crack on the coal rock sample;

[0054] A discrimination module is provided with a discrimination model, and the discrimination module is used to calculate the opening and displacement of the cracks on the coal rock sample during the ejection time stage and the deformation stress parameters at the crack monitoring point according to the discrimination model to obtain the ejection mode of the coal rock sample, and the ejection mode includes the ejection type and the ejection power source.

[0055] An electronic device provided in an embodiment of the present invention includes a processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the machine-readable instructions are executed by the processor, the steps in the coal rock ejection pattern analysis method provided in any of the above embodiments are performed. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a flow chart of a coal rock ejection pattern analysis method provided in one embodiment of the present invention.

[0057] Figure 2 Schematic diagram of the positions of displacement monitoring points and cracks on a coal rock sample in a coal rock ejection pattern analysis method provided by one embodiment of the present invention.

[0058] Figure 3 Schematic diagram of the relative positions of displacement monitoring points and cracks in a coal rock ejection pattern analysis method provided by an embodiment of the present invention.

[0059] Figure 4 1 is a schematic diagram of the opening and dislocation curves of a coal rock sample during the ejection time stage provided by an embodiment of the present invention.

[0060] Figure 5 It is a schematic diagram of the locations of crack monitoring points and cracks in the coal rock ejection pattern analysis method provided by one embodiment of the present invention.

[0061] Figure 6 Schematic diagram of axial stress and axial strain curves in a coal rock ejection mode analysis method provided in one embodiment of the present invention.

[0062] Figure 7 It is a structural schematic diagram of a coal rock ejection pattern analysis device provided by one embodiment of the present invention.

[0063] Figure 8 It is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present invention.

[0064] Reference numerals:

[0065] 110, acquisition module; 120, calculation module; 130, determination module;

[0066] 210 , processor; 220 , memory; 230 , communication interface; 240 , communication bus. DETAILED DESCRIPTION

[0067] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and intended to be used to explain the present invention, but should not be understood as limiting the present invention.

[0068] refer to Figure 1 , is a flow chart of a coal rock ejection pattern analysis method provided by an embodiment of the present invention. The coal rock ejection pattern analysis method provided by an embodiment of the present invention comprises the following steps:

[0069] S10, obtaining surface displacement change information and strain change information of the coal rock sample during the pressure loading process and the ejection time stage of the coal rock sample.

[0070] S20, calculating and obtaining the opening and displacement of the cracks on the coal rock sample during the ejection time stage according to the surface displacement change information.

[0071] S30, calculating and obtaining deformation stress parameters at the crack monitoring points on the coal rock sample based on the strain change information, wherein a plurality of crack monitoring points are provided, and the plurality of crack monitoring points are respectively provided on opposite sides of the crack on the coal rock sample.

[0072] S40, based on a preset discrimination model, the opening and displacement of the cracks on the coal rock sample during the ejection time stage and the deformation stress parameters at the crack monitoring point are calculated to obtain the ejection mode of the coal rock sample, where the ejection mode includes the ejection type and the ejection power source.

[0073] In summary, the coal rock ejection pattern analysis method provided by the embodiments of the present invention can analyze the stress and strain changes that occur in coal rock samples during loading in real time, and identify the ejection pattern of the coal rock sample based on these stress and strain changes. This enables scientific determination of the ejection behavior of coal rock samples, significantly reducing the subjectivity and uncertainty of manual judgment, and making the identification of coal rock ejection patterns more standardized and precise. This not only helps deepen our understanding of the mechanical properties of coal rock, but also provides strong technical support for safety warnings and disaster prevention and control in engineering practice.

[0074] In this embodiment, the ejection mode may include a tension-dominated mode, a shear-dominated mode, and a tension-shear combined mode. The step of calculating the opening and displacement of the cracks on the coal rock sample during the ejection time period and the deformation stress parameters at the crack monitoring points according to a preset discrimination model to obtain the ejection mode of the coal rock sample includes:

[0075] According to the displacement or opening degree of the cracks on the coal rock sample during the ejection time stage, a preset fluctuation range of the displacement or opening degree of the cracks during the ejection time stage is obtained, wherein the preset fluctuation range includes a maximum fluctuation value and a minimum fluctuation value;

[0076] Based on a preset discrimination model, comparing the preset fluctuation range corresponding to one of the opening degree and the misalignment degree with the other;

[0077] If the opening degree of the crack during the ejection time period is greater than the maximum value of the preset fluctuation range corresponding to the displacement degree, or the displacement degree is less than the minimum value of the preset fluctuation range corresponding to the opening degree, then the ejection type of the coal rock sample is tension-dominated;

[0078] If the opening degree of the crack during the ejection time period is less than the minimum fluctuation value of the preset fluctuation range corresponding to the displacement degree, or the displacement degree is greater than the maximum fluctuation value of the preset fluctuation range corresponding to the opening degree, then the ejection type of the coal rock sample is shear-dominated;

[0079] Otherwise, the ejection type of the coal rock sample is a tension-shear composite type.

[0080] Specifically, when the preset fluctuation range of the displacement of the cracks in the ejection time stage is obtained based on the displacement of the cracks on the coal rock sample in the ejection time stage, if the opening of the cracks in the ejection time stage is greater than the maximum fluctuation value of the preset fluctuation range corresponding to the displacement, then the ejection type of the coal rock sample is a tension-dominated type; if the opening of the cracks in the ejection time stage is less than the minimum fluctuation value of the preset fluctuation range corresponding to the displacement, then the ejection type of the coal rock sample is a shear-dominated type; otherwise, the ejection type of the coal rock sample is a tension-shear composite type.

[0081] The maximum value within the preset fluctuation range of the misalignment degree may be set to 100% to 120% of the misalignment degree; and the minimum value within the preset fluctuation range of the misalignment degree may be set to 80% to 100% of the misalignment degree.

[0082] That is to say, when the opening degree of the crack during the ejection time stage is significantly greater than the displacement degree, the ejection type of the coal rock sample is tension-dominated; if the opening degree of the crack during the ejection time stage is significantly less than the minimum fluctuation value of the preset fluctuation range corresponding to the displacement degree, the ejection type of the coal rock sample is shear-dominated; when the opening degree of the crack during the ejection time stage is close to the displacement degree, the ejection type of the coal rock sample is tension-shear composite.

[0083] It should be noted that the step obtains a preset fluctuation range of the displacement or opening of the cracks in the ejection time stage according to the displacement or opening of the cracks on the coal rock sample in the ejection time stage. The preset fluctuation range includes the maximum fluctuation value and the minimum fluctuation value. When obtaining the preset fluctuation range of the opening of the cracks in the ejection time stage, it is similar to the judgment process of the preset fluctuation range of the displacement of the cracks in the ejection time stage mentioned above, and will not be repeated here.

[0084] In some embodiments, the step of calculating the opening and displacement of the cracks on the coal rock sample according to the surface displacement change information in S20 includes:

[0085] constructing a displacement cloud map of the coal rock sample surface according to the surface displacement change information;

[0086] Based on the displacement cloud map, an inclination value of the fracture on the coal rock sample, a first displacement change parameter of the displacement monitoring point on the coal rock sample in a first direction, and a second displacement change parameter of the displacement monitoring point on the coal rock sample in a second direction are obtained, wherein the first direction and the second direction are perpendicular to each other, a plurality of displacement monitoring points are provided, and the plurality of displacement monitoring points are respectively provided on opposite sides of the fracture on the coal rock sample;

[0087] According to a preset fracture characteristic model, the inclination value, the first displacement change parameter and the second displacement change parameter are calculated to obtain the opening degree and the displacement degree of the fracture on the coal rock sample.

[0088] Furthermore, the crack characteristic model includes an opening degree calculation formula and a dislocation degree calculation formula.

[0089] The calculation formula of the opening degree is:

[0090] ;

[0091] The calculation formula of the dislocation degree is:

[0092] ;

[0093] Where, is the opening of the cracks on the coal rock sample; is the degree of dislocation of the cracks on the coal rock sample; is the first displacement change parameter of the displacement monitoring point a in the first direction; is the second displacement change parameter of the displacement monitoring point a in the second direction; is the first displacement change parameter of the displacement monitoring point b in the first direction; is the second displacement change parameter of the displacement monitoring point a in the second direction; is the inclination angle of the crack.

[0094] Specifically, if Figure 2 and Figure 3 As shown, Figure 2 A schematic diagram of the positions of displacement monitoring points and cracks in the displacement cloud map in the coal rock ejection mode analysis method provided by one embodiment of the present invention. Figure 3 Schematic diagram of the relative positions of displacement monitoring points and cracks in the coal rock ejection pattern analysis method provided by one embodiment of the present invention. In which, line c is the crack; point a is the displacement monitoring point located on the left side of crack c, point b is the displacement monitoring point located on the right side of crack c, and the direction indicated by arrow X is the first direction mentioned above, that is, the horizontal direction or the transverse direction. The direction indicated by arrow Y is the second direction mentioned above, that is, the axial direction. is the inclination angle of the crack.

[0095] refer to Figure 4 , is a schematic diagram of the opening and dislocation curves of a coal rock sample during the ejection time period provided by an embodiment of the present invention. The coal rock ejection mode analysis method further includes the following steps:

[0096] Constructing an opening degree and a dislocation degree curve of the coal rock sample during the ejection time stage according to the opening degree and the dislocation degree of the cracks on the coal rock sample during the ejection time stage;

[0097] Based on a preset fissure development division model, the opening degree and dislocation degree change curves are divided into a fissure development stage and an accelerated expansion stage, and the development time corresponding to the fissure development stage and the expansion time corresponding to the accelerated expansion stage are obtained;

[0098] Calculating the ejection efficiency of the coal rock sample according to the development time and the expansion time;

[0099] Based on the ejection efficiency, the ejection severity of the coal rock sample is evaluated, wherein the ejection efficiency is inversely proportional to the ejection severity.

[0100] Among them, the calculation formula of ejection efficiency is:

[0101] ;

[0102] Where, The ejection efficiency; is the developmental time corresponding to the fissure development stage; is the expansion time corresponding to the accelerated expansion phase.

[0103] Specifically, the fissure development division model includes a division standard, which includes dividing the fissure development stage and the accelerated expansion stage based on a relatively early time corresponding to 20% of the maximum value of the opening degree and the displacement degree in the ejection time stage. Figure 4 In the lattice, 20% of the maximum value of the displacement degree in the ejection time stage appears earlier than 20% of the maximum value of the opening degree in the ejection time stage. The time corresponding to 20% of the maximum value of the displacement degree in the ejection time stage is used as the boundary to divide the rift development stage and the accelerated expansion stage.

[0104] In this embodiment, the fracture monitoring points include parent monitoring points located in the coal and rock parent body and daughter monitoring points located in the ejection daughter body. The ejection power source includes an ejection parent body type, an ejection daughter body type, and a composite type.

[0105] Furthermore, the step of calculating the opening and displacement of the cracks on the coal rock sample during the ejection time stage and the deformation stress parameters at the crack monitoring points according to a preset discrimination model to obtain the ejection mode of the coal rock sample includes:

[0106] Based on a preset discrimination model, the deformation stress parameters of the parent monitoring point and the deformation stress parameters of the daughter monitoring point on the coal rock sample are compared, wherein the deformation stress parameters include at least tensile stress value and shear stress value;

[0107] When the tensile stress value of the parent monitoring point is greater than the tensile stress value of the daughter monitoring point, and the shear stress value of the parent monitoring point is greater than the shear stress value of the daughter monitoring point, the power source of the coal rock sample is a catapult parent type;

[0108] When the tensile stress value of the parent monitoring point is less than the tensile stress value of the daughter monitoring point, and the shear stress value of the parent monitoring point is less than the shear stress value of the daughter monitoring point, the power source of the coal rock sample is a catapult daughter type;

[0109] Otherwise, the power source of the coal rock sample is composite.

[0110] In some embodiments, the deformation stress parameters include at least tensile stress and shear stress. The step of calculating the deformation stress parameters at the crack monitoring point on the coal rock sample based on the strain change information in step S30 includes:

[0111] Calculating the transverse stress value, axial stress value and shear stress value of the crack monitoring point according to the strain change information;

[0112] Based on a preset tensile stress calculation model, the transverse stress value and the axial stress value are processed to obtain the tensile stress value of the crack monitoring point, where the tensile stress value is the square root of the sum of the square of the transverse stress value and the square of the axial stress value.

[0113] Furthermore, the tensile stress calculation model may include a tensile stress calculation formula:

[0114] ;

[0115] Where: is the tensile stress value; is the transverse stress value; is the axial stress value.

[0116] In this embodiment, if Figure 5 As shown, Figure 5 A schematic diagram of the locations of crack monitoring points and cracks in the coal rock ejection pattern analysis method provided by one embodiment of the present invention. Line c is a crack, and the crack monitoring points include monitoring point M located at the ejection matrix and monitoring point Z located at the ejection sub-body. For ease of description, the lateral stress value of monitoring point M can be , the axial stress value of the monitoring point M can be , the shear stress value at monitoring point M can be The lateral stress value at monitoring point Z can be , the axial stress value at the monitoring point Z can be , the shear stress value at monitoring point Z can be , then the tensile stress value of the monitoring point M is for ;Tensile stress value at monitoring point Z for .

[0117] Before ejection or stress peak occurs ,and , the force on the matrix before ejection is greater, and the power source of the coal rock sample is the ejection matrix type; when the ejection occurs ,and , it indicates that the daughter body is subjected to a greater force before ejection. Under the action of uniaxial loading stress, the daughter body is stretched and separated from the mother body and flies out. The power source of the coal rock sample is the ejection daughter body. ,and or ,and , then the power source of the coal rock sample is composite.

[0118] Furthermore, the step of calculating the lateral stress value, axial stress value and shear stress value of the crack monitoring point according to the strain change information includes:

[0119] According to the strain change information, the transverse strain value, axial strain value and shear strain value corresponding to the crack monitoring point are obtained;

[0120] Based on the preset stress calculation model, the transverse strain value, axial strain value and shear strain value corresponding to the crack monitoring point are calculated to obtain the transverse stress value, axial stress value and shear stress value of the crack monitoring point.

[0121] Furthermore, the stress calculation model includes a transverse stress calculation formula, an axial stress calculation formula, a shear stress calculation formula, the elastic modulus of the coal rock sample, and the Poisson's ratio of the coal rock sample.

[0122] The transverse stress calculation formula is:

[0123] ;

[0124] The axial stress calculation formula is:

[0125] ;

[0126] The shear stress calculation formula is:

[0127] ;

[0128] In the above transverse stress calculation formula, axial stress calculation formula, and shear stress calculation formula: ; ; is the lateral stress value corresponding to the crack monitoring point, is the axial stress value corresponding to the crack monitoring point, is the shear stress value corresponding to the crack monitoring point; is the transverse strain value; is the axial strain value; is the shear strain value; is the shear stress value; E is the elastic modulus of the coal rock sample, is the Poisson's ratio of the coal rock sample.

[0129] In some embodiments, the coal rock ejection pattern analysis method further includes the steps of:

[0130] Obtain the axial pressure value borne by the coal rock sample during the pressure loading process and the cross-sectional area value of the coal rock sample;

[0131] Calculating the axial stress value borne by the coal rock sample during the pressure loading process according to the axial pressure value and the cross-sectional area value;

[0132] constructing an axial stress and axial strain curve of the coal rock sample according to the axial stress value and the strain change information;

[0133] According to the axial stress and axial strain curve, the peak time point corresponding to the stress peak of the coal rock sample during the pressure loading process is determined, and the ejection time stage is from the first time threshold before the peak time point to the second time threshold after the peak time point.

[0134] in, Figure 6 A schematic diagram of axial stress and axial strain curves in a coal rock ejection mode analysis method provided in one embodiment of the present invention. Figure 6 The inner a is the continuous decline type after the stress peak; b is the step decline type after the stress peak; c is the rapid decline type after the stress peak. The peak time point is , the first time threshold is , the second time threshold is , then the ejection time stage is to .

[0135] Optionally, the first time threshold or the second time threshold can be set to 1-2 seconds, such as 1 second, 1.5 seconds or 2 seconds. The first time threshold and the second time threshold can be set to be the same. Of course, in some embodiments, the first time threshold and the second time threshold can be set to be different.

[0136] In this embodiment, the calculation formula for the axial stress value borne by the coal rock sample during the pressure loading process is:

[0137] ;

[0138] Where, is the axial stress value; F is the axial pressure value; A is the cross-sectional area value of the coal rock sample.

[0139] It should be noted that when selecting impact-prone coal rock to prepare standard coal rock samples, the coal rock sample shape can be either cylindrical or rectangular. The height-to-diameter ratio for the cylinder and the ratio of the height to cross-sectional side length for the rectangular parallelepiped are both set at 2:1 to meet the sample requirements of the International Society for Rock Mechanics for uniaxial compression testing. Furthermore, the maximum roughness error on the end surface must not exceed 0.02mm, and the roughness on the side surface must not exceed 0.3mm.

[0140] When the coal rock sample is cylindrical, , where r is the cross-sectional radius of the coal rock sample; is the circumference of a circle. When the coal rock sample is a cuboid, , where b is the side length of the cross section of the coal rock sample.

[0141] Furthermore, the coal-rock ejection pattern analysis method further includes the following steps:

[0142] Substitute the axial stress value and axial strain value into a preset elastic modulus operation model to obtain the elastic modulus of the coal rock sample. The elastic modulus operation model includes the formula: ; E is the elastic modulus; is the axial stress value, is the axial strain value.

[0143] In some embodiments, the coal rock ejection pattern analysis method further includes the steps of:

[0144] Acquiring a change in speckle on the coal rock sample to obtain surface displacement change information of the coal rock sample during pressure loading, wherein speckle is provided on a first plane of the coal rock sample;

[0145] The strain change information of the coal rock sample during the pressure loading process is obtained, and the strain change information includes axial strain parameters, lateral strain parameters and shear strain parameters. A strain gauge is provided on the second plane of the coal rock sample, and the strain gauge is used to collect the strain change information of the coal rock sample during the pressure loading process.

[0146] Furthermore, during the implementation of the coal rock ejection pattern analysis method, speckles can be first produced on the first plane of the coal rock sample, and a strain gauge can be pasted on the second plane of the coal rock sample, and the first plane and the second plane are different side surfaces of the coal rock sample respectively.

[0147] Furthermore, in the coal rock ejection pattern analysis method provided in an embodiment of the present invention, a VIC-3D non-contact full-field measurement system, a high-speed camera, etc. can be used to capture the speckle on the coal rock sample in real time to obtain parameters such as the surface displacement change information of the coal rock sample during the pressure loading process.

[0148] refer to Figure 7 , which is a schematic diagram of the structure of a coal-rock ejection pattern analysis device according to an embodiment of the present invention. The coal-rock ejection pattern analysis device includes an acquisition module 110, a calculation module 120, and a determination module 130. The modules are electrically connected to each other to achieve information transmission and reception.

[0149] The acquisition module 110 is used to acquire surface displacement change information and strain change information of the coal rock sample during the pressure loading process and the ejection time stage of the coal rock sample.

[0150] The calculation module 120 is configured to calculate, based on the surface displacement change information, the opening and displacement of the fractures in the coal rock sample during the ejection time period. The calculation module 120 is further configured to calculate, based on the strain change information, the deformation stress parameters at the fracture monitoring points in the coal rock sample, where a plurality of fracture monitoring points are provided, each of which is located on opposite sides of the fracture in the coal rock sample.

[0151] A discrimination model is provided in the discrimination module 130, and the discrimination module 130 is used to calculate the opening and displacement of the cracks on the coal rock sample during the ejection time stage and the deformation stress parameters at the crack monitoring point according to the discrimination model to obtain the ejection mode of the coal rock sample, and the ejection mode includes the ejection type and the ejection power source.

[0152] It should be noted that the coal rock ejection pattern analysis device provided in the embodiment of the present application has the same implementation principle and technical effects as the aforementioned coal rock ejection pattern analysis method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, please refer to the corresponding content in the aforementioned coal rock ejection pattern analysis method embodiment.

[0153] refer to Figure 8 , is a schematic diagram of the hardware structure of an electronic device provided in one embodiment of the present invention. The electronic device provided in this embodiment includes a processor 210 and a memory 220. The memory 220 stores machine-readable instructions executable by the processor 210. When executed by the processor 210, the machine-readable instructions perform the steps of the coal-rock ejection pattern analysis method described in any of the above embodiments. Each of the processor 210 and the memory 220 includes at least one.

[0154] In this embodiment, the electronic device further includes a communication interface 230 and a communication bus 240, wherein the processor 210, the memory 220, and the communication interface 230 are connected to each other via the communication bus 240. The communication bus 240 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 In the figure, only one thick line is used to represent the communication bus 240, but this does not mean that there is only one communication bus 240 or only one type of communication bus 240. The processor 210 may also be referred to as a controller, without limitation to the name.

[0155] In the embodiment of the present application, the memory 220 stores instructions that can be executed by at least one processor 210. The at least one processor 210 can execute the steps of the coal rock ejection pattern analysis method discussed above by executing the instructions stored in the memory 220. The processor 210 can implement Figure 3 The functions of each module in the device shown.

[0156] Among them, the processor 210 is the control center of the device, which can use various interfaces and lines to connect the various parts of the entire control device, and monitor the device as a whole by running or executing instructions stored in the memory 220 and calling data stored in the memory 220, the various functions of the device and processing data.

[0157] In one possible design, processor 210 may include one or more processing units. Processor 210 may integrate an application processor and a modem processor. The application processor primarily processes the operating system, operating interface, and application programs, while the modem processor primarily handles wireless communications. It is understood that the modem processor may not be integrated into the processor. In some embodiments, processor 210 and memory 220 may be implemented on the same chip or on separate chips.

[0158] Processor 210 can be a general-purpose processor, such as a central processing unit (CPU), a digital signal processor, an application-specific integrated circuit, a field-programmable gate array or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component, and can implement or execute the various methods, steps, and logic diagrams disclosed in the embodiments of this application. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the coal-rock ejection pattern analysis method disclosed in the embodiments of this application can be directly executed by a hardware processor, or by a combination of hardware and software modules within the processor.

[0159] Memory 220, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer executable programs, and modules. Memory 220 may include at least one type of storage medium, such as flash memory, a hard disk, a multimedia card, a card-type memory, random access memory (RAM), static random access memory (SRAM), programmable read-only memory (PROM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), magnetic storage, a magnetic disk, an optical disk, and the like. Memory 220 is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and is accessible by a computer, but is not limited thereto. In the embodiments of the present application, memory 220 may also be a circuit or any other device capable of performing a storage function, used to store program instructions and / or data.

[0160] By programming the processor 210, the code corresponding to the coal-rock ejection pattern analysis method described in the above embodiment can be fixed into the chip, so that the chip can execute the code when running. Figure 2 The steps of the coal rock ejection pattern analysis method of the embodiment shown are as follows: How to design and program the processor 210 is a technique well known to those skilled in the art and will not be described in detail here.

[0161] In addition, embodiments of the present application further provide a computer-readable storage medium storing computer-executable instructions. These instructions, when executed by processor 210, implement the coal-rock ejection pattern analysis method described in any of the aforementioned embodiments. Therefore, these instructions will not be further described here. Furthermore, the beneficial effects of employing the same method will not be further described. For technical details not disclosed in the computer storage medium embodiments of the present invention, please refer to the description of the method embodiments of the present invention.

[0162] In some possible embodiments, various aspects of the coal rock ejection pattern analysis method provided in the present application can also be implemented in the form of a program product, which includes program code. When the program product is run on the device, the program code is used to enable the control device to execute the steps of the coal rock ejection pattern analysis method according to various exemplary embodiments of the present application described above in this specification.

[0163] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0164] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0165] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0166] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0167] In addition, any process or method description in the flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present invention includes additional implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0168] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A coal rock ejection pattern analysis method, characterized in that: The steps include: Acquiring surface displacement change information and strain change information of the coal rock sample during the pressure loading process and the ejection time stage of the coal rock sample; According to the surface displacement change information, the opening degree and the displacement degree of the cracks on the coal rock sample during the ejection time stage are calculated; According to the strain change information, a deformation stress parameter at a crack monitoring point on the coal rock sample is calculated, wherein a plurality of crack monitoring points are provided, and the plurality of crack monitoring points are respectively provided on opposite sides of the crack on the coal rock sample; According to a preset discrimination model, the opening and displacement of the cracks on the coal rock sample during the ejection time stage and the deformation stress parameters at the crack monitoring point are calculated to obtain the ejection mode of the coal rock sample, wherein the ejection mode includes the ejection type and the ejection power source; The ejection types include tension-dominated, shear-dominated, and tension-shear composite types. The step of calculating the opening and displacement of the cracks on the coal rock sample during the ejection time period and the deformation stress parameters at the crack monitoring points according to a preset discrimination model to obtain the ejection mode of the coal rock sample includes: According to the displacement or opening degree of the cracks on the coal rock sample during the ejection time stage, a preset fluctuation range of the displacement or opening degree of the cracks during the ejection time stage is obtained, wherein the preset fluctuation range includes a maximum fluctuation value and a minimum fluctuation value; Based on a preset discrimination model, comparing the preset fluctuation range corresponding to one of the opening degree and the misalignment degree with the other; If the opening degree of the crack during the ejection time period is greater than the maximum value of the preset fluctuation range corresponding to the displacement degree, or the displacement degree is less than the minimum value of the preset fluctuation range corresponding to the opening degree, then the ejection type of the coal rock sample is tension-dominated; If the opening degree of the crack during the ejection time period is less than the minimum fluctuation value of the preset fluctuation range corresponding to the displacement degree, or the displacement degree is greater than the maximum fluctuation value of the preset fluctuation range corresponding to the opening degree, then the ejection type of the coal rock sample is shear-dominated; Otherwise, the ejection type of the coal rock sample is a tension-shear composite type.

2. The coal rock ejection pattern analysis method according to claim 1, characterized in that: The step of calculating the opening and displacement of the cracks on the coal rock sample based on the surface displacement change information includes: constructing a displacement cloud map of the coal rock sample surface according to the surface displacement change information; Based on the displacement cloud map, an inclination value of the fracture on the coal rock sample, a first displacement change parameter of a displacement monitoring point on the coal rock sample in a first direction, and a second displacement change parameter of the displacement monitoring point on the coal rock sample in a second direction are obtained, wherein the first direction and the second direction are perpendicular to each other, a plurality of displacement monitoring points are provided, and the plurality of displacement monitoring points are respectively provided on opposite sides of the fracture on the coal rock sample; According to a preset fracture characteristic model, the inclination value, the first displacement change parameter and the second displacement change parameter are calculated to obtain the opening degree and the displacement degree of the fracture on the coal rock sample.

3. The coal rock ejection pattern analysis method according to claim 2, characterized in that: The crack characteristic model includes: Opening degree calculation formula: ; The calculation formula of the degree of dislocation is: ; Where, is the opening of the cracks on the coal rock sample; is the degree of dislocation of the cracks on the coal rock sample; is the first displacement change parameter of the displacement monitoring point a in the first direction; is the second displacement change parameter of the displacement monitoring point a in the second direction; is the first displacement change parameter of the displacement monitoring point b in the first direction; is the second displacement change parameter of the displacement monitoring point b in the second direction; is the inclination angle of the crack.

4. The coal rock ejection pattern analysis method according to claim 1, characterized in that: The fracture monitoring points include parent monitoring points located in the coal-rock parent body and daughter monitoring points located in the ejection daughter body; the ejection power source includes ejection parent body type, ejection daughter body type and composite type; The step of calculating the opening and displacement of the cracks on the coal rock sample during the ejection time period and the deformation stress parameters at the crack monitoring points according to a preset discrimination model to obtain the ejection mode of the coal rock sample includes: Based on a preset discrimination model, the deformation stress parameters of the parent monitoring point and the deformation stress parameters of the daughter monitoring point on the coal rock sample are compared, wherein the deformation stress parameters include at least tensile stress value and shear stress value; When the tensile stress value of the parent monitoring point is greater than the tensile stress value of the daughter monitoring point, and the shear stress value of the parent monitoring point is greater than the shear stress value of the daughter monitoring point, the power source of the coal rock sample is a catapult parent type; When the tensile stress value of the parent monitoring point is less than the tensile stress value of the daughter monitoring point, and the shear stress value of the parent monitoring point is less than the shear stress value of the daughter monitoring point, the power source of the coal rock sample is a catapult daughter type; Otherwise, the power source of the coal rock sample is composite.

5. The coal rock ejection pattern analysis method according to claim 4, characterized in that: The step of calculating and obtaining the deformation stress parameters at the crack monitoring points on the coal rock sample based on the strain change information includes: Calculating the transverse stress value, axial stress value and shear stress value of the crack monitoring point according to the strain change information; Based on a preset tensile stress calculation model, the transverse stress value and the axial stress value are processed to obtain the tensile stress value of the crack monitoring point, where the tensile stress value is the square root of the sum of the square of the transverse stress value and the square of the axial stress value.

6. The coal rock ejection pattern analysis method according to claim 1, characterized in that: Also includes the steps: Constructing an opening degree and a dislocation degree curve of the coal rock sample during the ejection time stage according to the opening degree and the dislocation degree of the cracks on the coal rock sample during the ejection time stage; Based on a preset fissure development division model, the opening degree and dislocation degree change curves are divided into a fissure development stage and an accelerated expansion stage, and the development time corresponding to the fissure development stage and the expansion time corresponding to the accelerated expansion stage are obtained; Calculating the ejection efficiency of the coal rock sample according to the development time and the expansion time; Based on the ejection efficiency, the ejection severity of the coal rock sample is evaluated, wherein the ejection efficiency is inversely proportional to the ejection severity.

7. The coal rock ejection pattern analysis method according to claim 1, characterized in that: Also includes the steps: Obtaining the axial pressure value borne by the coal rock sample during the pressure loading process and the cross-sectional area value of the coal rock sample; Calculating the axial stress value borne by the coal rock sample during the pressure loading process according to the axial pressure value and the cross-sectional area value; constructing an axial stress and axial strain curve of the coal rock sample according to the axial stress value and the strain change information; According to the axial stress and axial strain curve, a peak time point corresponding to the stress peak of the coal rock sample during the pressure loading process is determined, and the ejection time stage is from a first time threshold before the peak time point to a second time threshold after the peak time point; And / or, the coal rock ejection pattern analysis method further comprises the steps of: Acquiring a change in speckle on the coal rock sample to obtain surface displacement change information of the coal rock sample during pressure loading, wherein speckle is provided on a first plane of the coal rock sample; The strain change information of the coal rock sample during the pressure loading process is obtained, and the strain change information includes axial strain parameters, lateral strain parameters and shear strain parameters. A strain gauge is provided on the second plane of the coal rock sample, and the strain gauge is used to collect the strain change information of the coal rock sample during the pressure loading process.

8. A coal rock ejection analysis device, characterized in that: include: An acquisition module, the acquisition module is used to obtain surface displacement change information and strain change information of the coal rock sample during the pressure loading process and the ejection time stage of the coal rock sample; a calculation module, the calculation module being configured to calculate, based on the surface displacement change information, an opening degree and a displacement degree of the crack on the coal rock sample during the ejection time stage; and further configured to calculate, based on the strain change information, a deformation stress parameter at a crack monitoring point on the coal rock sample, wherein a plurality of crack monitoring points are provided, and the plurality of crack monitoring points are respectively located on opposite sides of the crack on the coal rock sample; a discrimination module, wherein a discrimination model is provided in the discrimination module, and the discrimination module is used to calculate the opening and displacement of the cracks on the coal rock sample during the ejection time stage and the deformation stress parameters at the crack monitoring point according to the discrimination model to obtain the ejection mode of the coal rock sample, wherein the ejection mode includes the ejection type and the ejection power source; The ejection types include tension-dominated, shear-dominated, and tension-shear composite types. The step of calculating the opening and displacement of the cracks on the coal rock sample during the ejection time period and the deformation stress parameters at the crack monitoring points according to a preset discrimination model to obtain the ejection mode of the coal rock sample includes: According to the displacement or opening degree of the cracks on the coal rock sample during the ejection time stage, a preset fluctuation range of the displacement or opening degree of the cracks during the ejection time stage is obtained, wherein the preset fluctuation range includes a maximum fluctuation value and a minimum fluctuation value; Based on a preset discrimination model, comparing the preset fluctuation range corresponding to one of the opening degree and the misalignment degree with the other; If the opening degree of the crack during the ejection time period is greater than the maximum value of the preset fluctuation range corresponding to the displacement degree, or the displacement degree is less than the minimum value of the preset fluctuation range corresponding to the opening degree, then the ejection type of the coal rock sample is tension-dominated; If the opening degree of the crack during the ejection time period is less than the minimum fluctuation value of the preset fluctuation range corresponding to the displacement degree, or the displacement degree is greater than the maximum fluctuation value of the preset fluctuation range corresponding to the opening degree, then the ejection type of the coal rock sample is shear-dominated; Otherwise, the ejection type of the coal rock sample is a tension-shear composite type.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the machine-readable instructions are executed by the processor, the steps in the coal rock ejection pattern analysis method according to any one of claims 1 to 7 are executed.

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