Method and device for evaluating coal mine roadway mine shock intensity

Abstract

The present disclosure provides a coal mine roadway mine earthquake intensity evaluation method and device, which relates to the technical field of coal mine safety. The method comprises: obtaining mine earthquake waveform data of a coal mine roadway area; determining the mine earthquake intensity of the coal mine roadway area according to the peak particle velocity (PPV) value of the mine earthquake waveform data and a mapping relationship between the PPV value and the mine earthquake intensity. The mapping relationship between the PPV value and the mine earthquake intensity is determined by using a plurality of mine earthquake waveform sample data and a numerical model for numerical simulation. The present disclosure can accurately predict the mine earthquake intensity according to the mine earthquake waveform data, and the obtained mine earthquake intensity can accurately reflect the influence and damage of the mine earthquake waveform data on the roadway, so that the staff can evaluate the potential threat of the roadway structure, significantly improve the effectiveness of mine safety management, and effectively control and reduce the economic losses caused by mine earthquakes.

Description

Technical Field

[0001] This disclosure relates to the field of coal mine safety technology, and in particular to a method and apparatus for assessing the seismic intensity of coal mine roadways. Background Technology

[0002] Earthquakes caused by mining operations are called mine tremors, a type of induced earthquake. Mine tremors often occur alongside mining operations, with their focal depth typically at or above the mining face. Therefore, the focal depth of mine tremors is usually only tens to thousands of meters, making them extremely shallow-focus earthquakes compared to natural earthquakes. They are characterized by their shallow focal depth, slow attenuation, and high destructive power. Mine tremors have impacts both underground and on the surface, and their intensity is a crucial indicator for classifying the degree of damage and hazard. These impacts play a vital role in safe and environmentally friendly production.

[0003] Currently, the assessment of mine seismic intensity mainly refers to the seismic intensity scale, which evaluates the strength of the impact of earthquakes on the ground. This method integrates macroscopic surveys and instrumental measurements to obtain the intensity level, taking into account factors such as building damage, human perception, object reactions, damage to lifeline engineering, and other seismic damage phenomena. Based on the failure of thick and hard key layers and the laws of energy propagation, the concept of a "seismic damage boundary" has been proposed, and a preliminary assessment method for mine seismic-induced ground vibration damage has been established. However, the mine seismic intensity determined by the aforementioned method lacks systematicity and specificity in assessing the impact and damage to coal mine roadways. A reasonable classification basis has not yet been proposed, and the impact of mine seismic events on coal mine roadways cannot be fully reflected. Summary of the Invention

[0004] This disclosure aims to at least partially address one of the technical problems in the related art.

[0005] Therefore, the first aspect of this disclosure proposes a method for assessing the seismic intensity of coal mine roadways, comprising:

[0006] Acquire seismic waveform data in coal mine roadway areas;

[0007] Based on the peak particle velocity (PPV) value of the seismic waveform data and the predetermined mapping relationship between the PPV value and the seismic intensity, the seismic intensity of the coal mine roadway area is determined.

[0008] The mapping relationship between the PPV value and the seismic intensity is determined in the following way:

[0009] Obtain the mechanical parameters of the coal seam and the mechanical parameters of the surrounding rock within the coal mine roadway area, as well as the geological data of the coal mine roadway area;

[0010] A numerical model of the coal mine roadway area is constructed based on the mechanical parameters of the coal seam, the mechanical parameters of the surrounding rock, and the geological data.

[0011] The cohesive element is embedded in the numerical model. The cohesive element is used to describe the damage initiation and development process of the material interface in the coal mine roadway area.

[0012] Multiple mine seismic waveform sample data are input into a numerical model embedded with cohesive elements to simulate the damage evolution process of the coal mine roadway area under the multiple mine seismic waveform sample data. The roadway stress information, roadway deformation information, roadway failure morphology information and damage information of the cohesive elements corresponding to the PPV value of each mine seismic waveform sample data after simulation are obtained.

[0013] Based on the PPV value of each type of seismic waveform sample data, corresponding to the roadway stress information, roadway deformation information, roadway failure morphology information, and damage information of the cohesive unit, the mapping relationship between the PPV value and the seismic intensity is determined.

[0014] In some embodiments of this disclosure, the step of constructing a numerical model of the coal mine roadway region based on the mechanical parameters of the coal seam, the mechanical parameters of the surrounding rock, and the geological data includes: constructing a three-dimensional geometric model of the coal mine roadway region based on the geological data; and constructing a numerical model of the coal mine roadway region by meshing the three-dimensional geometric model and combining the mechanical parameters of the coal seam and the mechanical parameters of the surrounding rock.

[0015] In some embodiments of this disclosure, the tunnel damage morphology information includes at least one of the following: tunnel crack distribution information and fractured area information.

[0016] In some embodiments of this disclosure, determining the mapping relationship between the PPV value and the seismic intensity based on the roadway stress information, roadway deformation information, roadway failure morphology information, and damage information of the cohesive unit corresponding to the PPV value of each type of seismic waveform sample data includes: assessing the degree of roadway damage corresponding to the PPV value of each type of seismic waveform sample data based on the roadway stress information, roadway deformation information, roadway failure morphology information, and damage information of the cohesive unit corresponding to the PPV value of each type of seismic waveform sample data, and obtaining the mapping relationship between the PPV value and the degree of roadway damage; establishing the mapping relationship between the degree of roadway damage and the seismic intensity according to the seismic classification standard; and determining the mapping relationship between the PPV value and the seismic intensity based on the mapping relationship between the PPV value and the degree of roadway damage, and the mapping relationship between the degree of roadway damage and the seismic intensity.

[0017] A second aspect of this disclosure provides an apparatus for assessing the seismic intensity of coal mine roadways, comprising:

[0018] The acquisition module is used to acquire seismic waveform data in coal mine roadways.

[0019] The first determining module is used to determine the seismic intensity of the coal mine roadway area based on the peak particle velocity (PPV) value of the seismic waveform data and the pre-determined mapping relationship between the PPV value and the seismic intensity.

[0020] In some embodiments of this disclosure, a second determining module is further included; the second determining module includes: an acquisition unit, configured to acquire the mechanical parameters of the coal seam and the mechanical parameters of the surrounding rock within the coal mine roadway area, as well as geological data of the coal mine roadway area; a first construction unit, configured to construct a numerical model of the coal mine roadway area based on the mechanical parameters of the coal seam, the mechanical parameters of the surrounding rock, and the geological data; a second construction unit, configured to embed cohesive elements into the numerical model, the cohesive elements being used to describe the damage initiation and development process of the material interface within the coal mine roadway area; and a simulation unit, configured to simulate various mine seismic waves. The sample data are input into the numerical model embedded with cohesive units to simulate the damage evolution process of the coal mine roadway area under the various mine seismic waveform sample data. The roadway stress information, roadway deformation information, roadway failure morphology information, and damage information of the cohesive units are obtained according to the PPV value of each mine seismic waveform sample data after simulation. A determination unit is used to determine the mapping relationship between the PPV value and the mine seismic intensity based on the roadway stress information, roadway deformation information, roadway failure morphology information, and damage information of the cohesive units corresponding to the PPV value of each mine seismic waveform sample data.

[0021] In some embodiments of this disclosure, the first construction unit is specifically used to: construct a three-dimensional geometric model of the coal mine roadway area based on the geological data; and after meshing the three-dimensional geometric model, construct a numerical model of the coal mine roadway area by combining the mechanical parameters of the coal seam and the mechanical parameters of the surrounding rock.

[0022] In some embodiments of this disclosure, the tunnel damage morphology information includes at least one of the following: tunnel crack distribution information and fractured area information.

[0023] In some embodiments of this disclosure, the determining unit is specifically used to: assess the degree of roadway damage corresponding to the PPV value of each type of seismic waveform sample data based on the roadway stress information, roadway deformation information, roadway failure morphology information, and damage information of the cohesive unit corresponding to the PPV value of each type of seismic waveform sample data, and obtain the mapping relationship between the PPV value and the degree of roadway damage; establish the mapping relationship between the degree of roadway damage and the seismic intensity according to the seismic classification standard; and determine the mapping relationship between the PPV value and the seismic intensity based on the mapping relationship between the PPV value and the degree of roadway damage, and the mapping relationship between the degree of roadway damage and the seismic intensity.

[0024] A third aspect of this application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0025] The memory stores computer-executed instructions;

[0026] The processor executes computer execution instructions stored in the memory to implement the method described in the first aspect above.

[0027] The method for assessing the seismic intensity of coal mine roadways disclosed herein can accurately predict the seismic intensity based on a predetermined mapping relationship between PPV values ​​and seismic intensity and seismic waveform data of the coal mine roadway area. The obtained seismic intensity can accurately reflect the impact and damage of seismic waveform data on the roadway, enabling coal mine workers to assess the potential threat of seismic waveform data to the roadway structure, significantly improving the effectiveness of mine safety management, and effectively controlling and reducing economic losses caused by seismic events.

[0028] Additional aspects and advantages of this disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this disclosure. Attached Figure Description

[0029] The above and / or additional aspects and advantages of this disclosure will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, in which:

[0030] Figure 1 This is a flowchart illustrating a method for determining the mapping relationship between PPV value and seismic intensity provided in an embodiment of this disclosure.

[0031] Figure 2 A schematic diagram of a numerical model of a coal mine roadway area provided in an embodiment of this disclosure;

[0032] Figure 3 This is a schematic diagram illustrating the embedding of cohesive elements in a numerical model of a coal mine roadway region, as provided in an embodiment of this disclosure.

[0033] Figure 4 A schematic diagram of a hybrid mode cohesive traction response provided in an embodiment of this disclosure;

[0034] Figure 5 A flowchart illustrating a method for assessing the seismic intensity of a coal mine roadway, as provided in an embodiment of this disclosure;

[0035] Figure 6 A comparison diagram of raw waveform data and preprocessed mine seismic waveform data provided in an embodiment of this disclosure;

[0036] Figure 7 A schematic diagram of a device for assessing the seismic intensity of a coal mine roadway, provided in an embodiment of this disclosure;

[0037] Figure 8 A schematic diagram of another coal mine roadway seismic intensity assessment device provided in this disclosure embodiment. Detailed Implementation

[0038] Embodiments of this disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this disclosure, and should not be construed as limiting this disclosure.

[0039] Specifically, the method and apparatus for assessing the seismic intensity of coal mine roadways according to embodiments of the present disclosure are described below with reference to the accompanying drawings. To better understand the method for assessing the seismic intensity of coal mine roadways according to embodiments of the present disclosure, the method for determining the mapping relationship between PPV value and seismic intensity is described first. Figure 1 This is a flowchart illustrating a method for determining the mapping relationship between PPV value and seismic intensity provided in an embodiment of this disclosure. Figure 1 As shown, the method for determining the mapping relationship between the PPV value and the seismic intensity may include the following steps:

[0040] Step 101: Obtain the mechanical parameters of the coal seam and the surrounding rock in the coal mine roadway area, as well as the geological data of the coal mine roadway area.

[0041] In some embodiments of this disclosure, the geological data of the coal mine roadway area may include stratigraphic lithology, sequence stratigraphy, thickness, fault distribution, groundwater conditions, and the actual layout and dimensions of the mine roadway. The mechanical parameters of the coal seam and surrounding rock may include parameters such as density, elastic modulus, Poisson's ratio, and compressive strength obtained through geological exploration and field measurements.

[0042] Step 102: Based on the mechanical parameters of the coal seam, the mechanical parameters of the surrounding rock, and geological data, construct a numerical model of the coal mine roadway area.

[0043] It should be noted that the constructed numerical model of the coal mine roadway area can reflect the topographic and geological features of the area through geological data, such as the length, width, height, curves, and intersections of the roadways. The numerical model sets boundary conditions based on the actual interaction relationships within the coal mine roadway area to reflect the mechanical properties of the materials within that area.

[0044] In some embodiments of this disclosure, a three-dimensional geometric model of the coal mine roadway region can be constructed based on geological data using dedicated geological modeling software. Software such as ANSYS, Abaqus, and HyperMesh is then used to mesh the geometric model, ensuring a balance between mesh size and computational efficiency. After meshing the three-dimensional geometric model, boundary conditions are set based on the actual interaction relationships within the coal mine roadway region, thereby constructing a numerical model of the coal mine roadway region. Figure 2 This is a schematic diagram of a numerical model of a coal mine roadway area provided in an embodiment of this disclosure.

[0045] Step 103: Embed the cohesive element into the numerical model. The cohesive element is used to describe the damage initiation and development process of the material interface in the coal mine roadway area.

[0046] It should be noted that cohesive elements are specifically designed to simulate the bonding behavior within a material or between different materials. Figure 3 This diagram illustrates the embedding of cohesive elements in a numerical model of a coal mine roadway region, as provided in an embodiment of this disclosure. In some embodiments of this disclosure, cohesive elements can be automatically generated by writing code. Each cohesive element has a specific force-displacement relationship, i.e., a traction-separation constitutive model, used to describe the damage initiation and development process at the material interface.

[0047] The initial linear elastic behavior of the traction separation law can be expressed as follows:

[0048]

[0049] Where t is the nominal traction stress vector, which in a three-dimensional problem consists of three components (ti, tj, ... n t s and t t Composition; ε n ε s and ε t These are the three components of nominal strain; δ n δ s and δt The corresponding spacing; T0 is the original thickness of the viscous element; the matrix containing parameters such as Enn is the elastic matrix, which provides the complete coupling behavior between all components of the traction vector and the separation vector. A schematic diagram of the cohesive traction response of a commonly used hybrid mode can be found in [reference needed]. Figure 4 .like Figure 4 As shown, t no t so t to and t mo These are the relative normal, relative shear force, relative shear force, and effective traction at the initiation of the crack; δ no δ so δ to and δ mo These are the relative normal, relative shear force, relative shear force, and effective displacement at the onset of damage; δ nf δ sf δ tf and δ mf These are the pure normal displacement, pure shear displacement, pure shear displacement, and effective displacement, respectively. no k so and k to These are the initial tensile stiffness, initial shear stiffness, and initial shear stiffness, respectively.

[0050] In some embodiments of this disclosure, material properties can be set for cohesive elements in a numerical model based on a pre-trained and designed cohesive element material parameter library for rock materials. These properties include parameters such as tensile and shear modulus, bond strength, and fracture energy. The cohesive element material parameter library for rock materials can include property information for various rock materials. Based on the actual rock materials in the coal mine roadway area, matching material properties are determined from the cohesive element material parameter library.

[0051] After embedding the cohesive element, which describes the damage initiation and development process of the material interface in the coal mine roadway area, into the numerical model, the seismic waveform can be input into the numerical model after embedding the cohesive element. Explicit iterative solution is then used to simulate the damage evolution process of the roadway under different seismic waveforms. When the stress in the cohesive element reaches the material's strength limit, damage occurs until the failure limit is reached, at which point the element fails. The damage evolution criteria can be found in formulas (2) to (6):

[0052] Due to damage accumulation, the changes in the normal stress and shear stress components of the traction-separation model can be referenced as follows:

[0053]

[0054]

[0055] Tensile stiffness and shear stiffness can be expressed as:

[0056] k n =(1-D)k no

[0057] k s =(1-D)k so

[0058] k t =(1-D)k to (4)

[0059] To describe the damage evolution of the crack under the combination of normal deformation and shear deformation on the crack surface, an effective displacement is introduced as follows:

[0060]

[0061] Where, δ m It is the equivalent pure displacement, and <> is Macaulay brackets, when <δ n When > is greater than zero, <δ n > equals δ n Otherwise <δ n > equals zero.

[0062] The damage variable D can be derived from the following expression:

[0063]

[0064] Where, δ mm This represents the maximum pure displacement during the loading process. The damage variable D, or stiffness reduction rate, is a parameter used to describe the degree of damage.

[0065] Step 104: Input various mine seismic waveform sample data into the numerical model after embedding cohesive elements to simulate the damage evolution process of coal mine roadway area under various mine seismic waveform sample data, and obtain the roadway stress information, roadway deformation information, roadway failure morphology information and cohesive element damage information corresponding to the PPV value of each mine seismic waveform sample data after simulation.

[0066] It should be noted that the multiple seismic waveform sample data refers to various different seismic waveform samples, which can be obtained from the original acquired seismic waveforms after preprocessing. These multiple seismic waveform sample data are input into a numerical model embedded with cohesive elements for numerical simulation, simulating the damage evolution process in the coal mine roadway area under different seismic waveform sample data. The numerical simulation software can output the stress distribution map, deformation contour map, and failure contour map of the numerical model under each seismic waveform sample data (i.e., different PPV values). The damage information of the cohesive elements is obtained through the failure contour map. The damage information of the cohesive elements can include the stiffness reduction rate D and the damage state value (both values ​​are: 1 represents complete failure, 0 represents no damage, and values ​​between 0 and 1 represent damage but not complete failure). Figure 4 The damage curve is represented by 0 (the portion before the curve's peak), 1 (the endpoint where the curve intersects the x-axis), and 0-1 (the descending segment of the curve). Stress distribution maps can be used to analyze stress information at various locations within the tunnel, such as the maximum principal stress and shear stress concentrated in the surrounding rock. Deformation cloud maps can determine the tunnel deformation information of the numerical model, particularly deformation characteristics such as roof subsidence, sidewall displacement, and bottom uplift. Tunnel failure morphology information can be obtained from any of the stress distribution map, deformation cloud map, and failure cloud map. In some embodiments of this disclosure, tunnel failure morphology information may include at least one of the following: tunnel crack distribution information and fractured area information.

[0067] Step 105: Based on the PPV values ​​of each type of seismic waveform sample data, the corresponding roadway stress information, roadway deformation information, roadway failure morphology information, and cohesive element damage information, determine the mapping relationship between PPV values ​​and seismic intensity.

[0068] After numerical simulation based on seismic waveform sample data, the PPV value of each seismic waveform sample data corresponds to a set of roadway stress information, roadway deformation information, roadway failure mode information, and cohesive element damage information. Based on each set of roadway stress information, roadway deformation information, roadway failure mode information, and cohesive element damage information, the damage situation of the coal mine roadway is assessed. The damage situation of the coal mine roadway is matched with the damage situation in the existing seismic intensity table to determine the seismic intensity corresponding to the PPV value of each seismic waveform sample data.

[0069] In some embodiments of this disclosure, the degree of roadway damage corresponding to the PPV value of each type of mine seismic waveform sample data can be evaluated based on the roadway stress information, roadway deformation information, roadway failure morphology information, and cohesive unit damage information corresponding to the PPV value of each type of mine seismic waveform sample data, thereby obtaining the mapping relationship between the PPV value and the degree of roadway damage.

[0070] Optionally, the overall damage level of the roadway can be evaluated using methods such as safety factor calculation and probabilistic failure models, based on roadway stress information, roadway deformation information, roadway failure morphology information, and damage information of cohesive elements. The roadway damage levels corresponding to different PPV values ​​are statistically analyzed to establish a mapping relationship between PPV values ​​and roadway damage levels. Furthermore, based on existing seismic intensity tables, mine seismic intensity tables, and mine seismic classification and grading standards, and integrating descriptions of seismic intensity regarding building damage, human perception, object reactions, and instrumental measurements, a mapping relationship between roadway damage levels and mine seismic intensity is established. Based on the mapping relationships between PPV values ​​and roadway damage levels, and between roadway damage levels and mine seismic intensity, the mapping relationship between PPV values ​​and mine seismic intensity is thus determined.

[0071] By implementing the embodiments of this disclosure, the numerical model of the coal mine roadway area constructed based on geological data and the mechanical parameters of materials within the roadway is more consistent with actual field conditions. Numerical simulations of the numerical model reveal the damage to coal mine roadways under different seismic waveforms, thereby establishing a mapping relationship between the PPV value of the seismic waveform and seismic intensity. This accurately reconstructs and predicts the range and extent of the impact of seismic events on coal mine roadways, providing a theoretical basis and technical support for seismic intensity assessment. In subsequent applications, the seismic intensity can be accurately assessed based on the PPV value of the seismic waveform, predicting the potential threat of seismic events to roadway structures, significantly improving the effectiveness of mine safety management, and effectively controlling and reducing economic losses caused by seismic events.

[0072] Figure 5 This is a schematic flowchart illustrating a method for assessing the seismic intensity of coal mine roadways, provided in an embodiment of this disclosure. Figure 5 As shown, the method for assessing the seismic intensity of coal mine roadways may include the following steps:

[0073] Step 501: Obtain seismic waveform data of the coal mine roadway area.

[0074] In some embodiments of this disclosure, high-sensitivity seismometers and microseismic monitoring systems can be used to capture underground seismic signals in coal mines in real time. These detection devices can cover the main mining faces and potentially high-risk areas to ensure comprehensive capture of mine seismic activity. Seismic waveform signals are collected by the microseismic monitoring system and transmitted to a central processing unit. During data acquisition, time synchronization and data integrity must be ensured for subsequent accurate analysis. The collected raw waveform data can be preprocessed, such as through noise reduction, signal amplification, and data compression, to optimize it into waveform data files that can be input for numerical simulation analysis, thus obtaining mine seismic waveform data (i.e., waveform files corresponding to different PPV values).

[0075] Figure 6This is a comparison diagram of raw waveform data and preprocessed seismic waveform data provided in an embodiment of the present disclosure, wherein... Figure 6 (Left) shows the original waveform data. Figure 6 (Right) shows the mine seismic waveform data obtained after preprocessing the original waveform data.

[0076] Step 502: Determine the seismic intensity of the coal mine roadway area based on the peak particle velocity (PPV) value of the seismic waveform data and the pre-determined mapping relationship between the PPV value and the seismic intensity.

[0077] The process of determining the mapping relationship between PPV value and predetermined PPV value and seismic intensity has been completed. Figure 1 The embodiments shown are described in detail here and will not be repeated.

[0078] By implementing the embodiments of this disclosure, the intensity of mine seismic activity can be accurately predicted based on the predetermined mapping relationship between PPV value and seismic intensity and the seismic waveform data of the coal mine roadway area. The obtained seismic intensity can accurately reflect the impact and damage of the seismic waveform data on the roadway, enabling coal mine workers to assess the potential threat of seismic waveform data to the roadway structure, significantly improving the effectiveness of mine safety management, and effectively controlling and reducing economic losses caused by mine seismic activity.

[0079] Figure 7 This is a schematic diagram of a device for assessing the seismic intensity of a coal mine roadway, provided as an embodiment of this disclosure. Figure 7 As shown, the device for assessing the seismic intensity of a coal mine roadway includes: an acquisition module 701 and a first determination module 702.

[0080] The acquisition module 701 is used to acquire seismic waveform data of the coal mine roadway area.

[0081] The first determining module 702 is used to determine the seismic intensity of a coal mine roadway area based on the peak particle velocity (PPV) value of the seismic waveform data and the pre-determined mapping relationship between the PPV value and the seismic intensity.

[0082] Optionally, in some embodiments of this disclosure, such as Figure 8 As shown, the coal mine roadway seismic intensity assessment device further includes a second determination module 803. The second determination module 803 includes: an acquisition unit 804, a first construction unit 805, a second construction unit 806, a simulation unit 807, and a determination unit 808.

[0083] The acquisition unit 804 is used to acquire the mechanical parameters of the coal seam and the mechanical parameters of the surrounding rock in the coal mine roadway area, as well as the geological data of the coal mine roadway area.

[0084] The first building unit 805 is used to build a numerical model of the coal mine roadway area based on the mechanical parameters of the coal seam, the mechanical parameters of the surrounding rock, and geological data.

[0085] The second building block 806 is used to embed cohesive elements into the numerical model. Cohesive elements are used to describe the damage initiation and development process of material interfaces in the coal mine roadway area.

[0086] Simulation unit 807 is used to input various mine seismic waveform sample data into the numerical model after embedding cohesive units, simulate the damage evolution process of coal mine roadway area under various mine seismic waveform sample data, and obtain roadway stress information, roadway deformation information, roadway failure mode information and cohesive unit damage information corresponding to the PPV value of each mine seismic waveform sample data after simulation.

[0087] The determination unit 808 is used to determine the mapping relationship between the PPV value and the seismic intensity based on the roadway stress information, roadway deformation information, roadway failure mode information and cohesive unit damage information corresponding to the PPV value of each type of seismic waveform sample data.

[0088] In some embodiments of this disclosure, the first construction unit 805 is specifically used to: construct a three-dimensional geometric model of the coal mine roadway area based on geological data; and after meshing the three-dimensional geometric model, construct a numerical model of the coal mine roadway area by combining the mechanical parameters of the coal seam and the mechanical parameters of the surrounding rock.

[0089] In some embodiments of this disclosure, the tunnel damage morphology information includes at least one of the following: tunnel crack distribution information and fractured area information.

[0090] In some embodiments of this disclosure, the determining unit 808 is specifically used to: assess the degree of roadway damage corresponding to the PPV value of each type of mine seismic waveform sample data based on the roadway stress information, roadway deformation information, roadway failure morphology information, and cohesive unit damage information corresponding to the PPV value of each type of mine seismic waveform sample data, and obtain the mapping relationship between the PPV value and the degree of roadway damage; establish the mapping relationship between the degree of roadway damage and the intensity of mine seismic activity based on the mine seismic classification standard; and determine the mapping relationship between the PPV value and the intensity of mine seismic activity based on the mapping relationship between the PPV value and the degree of roadway damage, and the mapping relationship between the degree of roadway damage and the intensity of mine seismic activity.

[0091] in, Figure 8 801-802 and Figure 7 The 701-702 series have the same function and structure.

[0092] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0093] To implement the above embodiments, this disclosure also proposes an electronic device, including: a processor and a memory communicatively connected to the processor; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory to implement the method provided in the foregoing embodiments.

[0094] To implement the above embodiments, this disclosure also proposes a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the methods provided in the foregoing embodiments.

[0095] To implement the above embodiments, this disclosure also proposes a computer program product, including a computer program that, when executed by a processor, implements the methods provided in the foregoing embodiments.

[0096] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this disclosure. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0097] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this disclosure, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0098] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of preferred embodiments of this disclosure includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of this disclosure pertain.

[0099] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0100] It should be understood that various parts of this disclosure can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0101] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

Claims

1. A method for assessing the seismic intensity of coal mine roadways, characterized in that, Includes the following steps: Acquire seismic waveform data in coal mine roadway areas; Based on the peak particle velocity (PPV) value of the seismic waveform data and the predetermined mapping relationship between the PPV value and the seismic intensity, the seismic intensity of the coal mine roadway area is determined. The mapping relationship between the PPV value and the seismic intensity is determined in the following way: Obtain the mechanical parameters of the coal seam and the mechanical parameters of the surrounding rock within the coal mine roadway area, as well as the geological data of the coal mine roadway area; Based on the mechanical parameters of the coal seam, the mechanical parameters of the surrounding rock, and the geological data, a numerical model of the coal mine roadway area is constructed. The numerical model reflects the topographic and geological features of the coal mine roadway area through the geological data. The cohesive element is embedded in the numerical model. The cohesive element is used to describe the damage initiation and development process of the material interface in the coal mine roadway area. Multiple mine seismic waveform sample data are input into a numerical model embedded with cohesive elements to simulate the damage evolution process of the coal mine roadway area under the multiple mine seismic waveform sample data. The roadway stress information, roadway deformation information, roadway failure morphology information and damage information of the cohesive elements corresponding to the PPV value of each mine seismic waveform sample data after simulation are obtained. Based on the roadway stress information, roadway deformation information, roadway failure morphology information, and damage information of the cohesive unit corresponding to the PPV value of each type of mine seismic waveform sample data, the degree of roadway damage corresponding to the PPV value of each type of mine seismic waveform sample data is evaluated, and the mapping relationship between the PPV value and the degree of roadway damage is obtained. Establish a mapping relationship between the degree of roadway damage and the intensity of mine seismic events based on the mine seismic classification standards; Based on the mapping relationship between the PPV value and the degree of roadway damage, and the mapping relationship between the degree of roadway damage and the intensity of seismic activity, the mapping relationship between the PPV value and the intensity of seismic activity is determined.

2. The method according to claim 1, characterized in that, The step of constructing a numerical model of the coal mine roadway area based on the mechanical parameters of the coal seam, the mechanical parameters of the surrounding rock, and the geological data includes: A three-dimensional geometric model of the coal mine roadway area is constructed based on the geological data. After meshing the three-dimensional geometric model, a numerical model of the coal mine roadway region is constructed by combining the mechanical parameters of the coal seam and the mechanical parameters of the surrounding rock.

3. The method according to claim 1, characterized in that, The tunnel damage morphology information includes at least one of the following: tunnel crack distribution information and fractured area information.

4. A device for assessing the seismic intensity of coal mine roadways, characterized in that, include: The acquisition module is used to acquire seismic waveform data in coal mine roadways. The first determining module is used to determine the seismic intensity of the coal mine roadway area based on the peak particle velocity (PPV) value of the seismic waveform data and the pre-determined mapping relationship between the PPV value and the seismic intensity. The device further includes a second determining module; the second determining module includes: The acquisition unit is used to acquire the mechanical parameters of the coal seam and the mechanical parameters of the surrounding rock within the coal mine roadway area, as well as the geological data of the coal mine roadway area. The first construction unit is used to construct a numerical model of the coal mine roadway area based on the mechanical parameters of the coal seam, the mechanical parameters of the surrounding rock, and the geological data. The numerical model reflects the topographic and geological features of the coal mine roadway area through the geological data. The second building unit is used to embed the cohesive unit into the numerical model. The cohesive unit is used to describe the damage initiation and development process of the material interface in the coal mine roadway area. The simulation unit is used to input various mine seismic waveform sample data into the numerical model after embedding the cohesive unit, simulate the damage evolution process of the coal mine roadway area under the various mine seismic waveform sample data, and obtain the roadway stress information, roadway deformation information, roadway failure mode information and damage information of the cohesive unit corresponding to the PPV value of each mine seismic waveform sample data after simulation. The determination unit is used to assess the degree of roadway damage corresponding to the PPV value of each type of seismic waveform sample data based on the roadway stress information, roadway deformation information, roadway failure morphology information, and damage information of the cohesive unit corresponding to the PPV value of each type of seismic waveform sample data, and to obtain the mapping relationship between the PPV value and the degree of roadway damage; to establish the mapping relationship between the degree of roadway damage and the seismic intensity according to the seismic classification standard; and to determine the mapping relationship between the PPV value and the seismic intensity based on the mapping relationship between the PPV value and the degree of roadway damage, and the mapping relationship between the degree of roadway damage and the seismic intensity.

5. The apparatus according to claim 4, characterized in that, The first building unit is specifically used for: A three-dimensional geometric model of the coal mine roadway area is constructed based on the geological data. After meshing the three-dimensional geometric model, a numerical model of the coal mine roadway region is constructed by combining the mechanical parameters of the coal seam and the mechanical parameters of the surrounding rock.

6. The apparatus according to claim 4, characterized in that, The tunnel damage morphology information includes at least one of the following: tunnel crack distribution information and fractured area information.

7. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-3.

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