Tunnel micro-seismic source intelligent positioning method and system

Abstract

The embodiment of the invention provides a tunnel micro-seismic source intelligent positioning method and system, and can solve the problem of low positioning precision of a traditional inversion algorithm based on ray linear propagation. The method comprises the following steps: establishing a geological model of an area range to which the tunnel engineering belongs based on geological information collected by a geological exploration technology; determining fissure water information based on the geologic model, wherein the fissure water information comprises a position and density relationship between fissure water and surrounding rock mass; and performing ray tracing in combination with the position and density relationship between the fissure water and the surrounding rock mass in the process of inverting the position of the micro-seismic source through the monitored rock-soil elastic wave information so as to perform intelligent positioning of the micro-seismic source.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a method and system for intelligently locating microseismic sources in a tunnel. Background Art

[0002] Microseismic monitoring technology is usually based on the propagation characteristics of elastic waves in rock mass to monitor and locate the fracture or fracture position of rock mass. Microseismic monitoring is to capture small earthquake events caused by rock mass fracture or other deformation by arranging microseismic sensor arrays, and determine the location of the earthquake source using inversion algorithms. However, the traditional inversion algorithm based on ray rectilinear propagation has the problem of low positioning accuracy. Summary of the invention

[0003] The embodiments of the present application provide a method and system for intelligent positioning of microseismic sources in a tunnel, which can solve the problem of low positioning accuracy in the traditional inversion algorithm based on ray linear propagation.

[0004] A first aspect of an embodiment of the present application provides a method for intelligently locating a microseismic source in a tunnel, comprising:

[0005] Establish a geological model of the area where the tunnel project is located based on the geological information collected by geological exploration technology;

[0006] Determining fracture water information based on the geological model, wherein the fracture water information includes the position and density relationship between the fracture water and the surrounding rock mass;

[0007] In the process of inverting the location of the microseismic source through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source.

[0008] Optionally, in the process of inverting the microseismic source position through the elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water indicated by the fissure water information and the surrounding rock mass to perform intelligent positioning of the microseismic source, including:

[0009] In the process of inverting the position of the microseismic source through the elastic wave information, ray tracing is performed in combination with the position and density of the fissure water to perform intelligent positioning of the microseismic source.

[0010] Optionally, the fissure water information includes static water level information, and the method further includes:

[0011] Determine spatial structural relationship information of voids in the cracks and water bodies in the cracks through the static water level information, wherein the spatial structural relationship information includes water body volume parameters and void volume parameters;

[0012] In the process of inverting the microseismic source position through the elastic wave information, ray tracing is performed in combination with the position and density of the fissure water to perform intelligent positioning of the microseismic source, including:

[0013] In the process of inverting the position of the microseismic source through the elastic wave information, ray tracing is performed in combination with the water volume parameters and the void volume parameters to perform intelligent positioning of the microseismic source.

[0014] Optionally, in the process of inverting the microseismic source position through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source, including:

[0015] In the process of calculating the location of the microseismic source using the group velocity inversion algorithm through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source.

[0016] Optionally, in the process of inverting the microseismic source position through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source, including:

[0017] In the process of calculating the microseismic source position by using the group velocity inversion algorithm and wavefront through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source.

[0018] Optionally, in the process of calculating the microseismic source position by using the group velocity inversion algorithm and the wavefront through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source, including:

[0019] Assume that in the crack, the group velocity V g Affected by the water body, the group velocity is inversely proportional to the water level and density of the fracture. The group velocity correction formula can be expressed as:

[0020]

[0021] Where Vg′ is the corrected group velocity, V g0 is the initial group velocity, α is the water body influence coefficient, ρ w is the water density, V is the wave velocity, Vg is the original group velocity;

[0022] In irregular media, the propagation of the wavefront is affected by the changes in the medium. Depending on the geological body, the wavefront may bend or expand. The correction formula can be calculated based on Snell's law:

[0023]

[0024] Among them, θ1 and θ2 are the incident angle and refraction angle of the wave, and V1 and V2 are the speed of the wave in different media.

[0025] Optionally, the elastic wave information is obtained based on an optical fiber sensor array.

[0026] A second aspect of the embodiment of the present application provides a tunnel microseismic source intelligent positioning device, comprising:

[0027] A modeling unit, used to establish a geological model of the area to which the tunnel project belongs based on geological information collected by geological exploration technology;

[0028] An analysis unit, configured to determine fracture water information based on the geological model, wherein the fracture water information includes a position and density relationship between the fracture water and surrounding rock mass;

[0029] The positioning unit is used to perform ray tracing in the process of inverting the microseismic source position through the monitored rock and soil elastic wave information, combined with the position and density relationship between the fissure water and the surrounding rock mass, so as to perform intelligent positioning of the microseismic source.

[0030] A third aspect of an embodiment of the present application provides an electronic system, including a memory and a processor, wherein the processor is used to implement the steps of the above-mentioned tunnel microseismic source intelligent positioning method when executing a computer program stored in the memory.

[0031] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above-mentioned method for intelligent positioning of microseismic sources in tunnels when the computer program is executed by a processor.

[0032] In summary, the tunnel microseismic source intelligent positioning method provided by the embodiment of the present application establishes a geological model of the area to which the tunnel project belongs by using geological information collected based on geological exploration technology; determines the fracture water information based on the geological model, and the fracture water information includes the position and density relationship between the fracture water and the surrounding rock mass; in the process of inverting the microseismic source position through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fracture water and the surrounding rock mass to perform intelligent positioning of the microseismic source. Thus, by combining the fracture water information for ray tracing, the propagation path of microseismic waves in complex underground media can be more accurately simulated, thereby significantly improving the accuracy of microseismic source positioning. For example, in a fracture water area with high permeability, traditional methods may produce large errors, and after combining the water density relationship, the positioning error is significantly reduced. Under complex geological conditions, such as multi-layer rock mass, fracture zone and areas with large changes in groundwater content, traditional ray propagation assumptions are difficult to cope with, and this method can adapt to these complex environments by simulating the effect of water on wave velocity in real time. Through precise microseismic source positioning, potential risk areas during tunnel construction (such as water gushing caused by fissure water, rock instability, etc.) can be effectively identified, thereby optimizing construction plans and reducing the occurrence of sudden accidents.

[0033] Correspondingly, the tunnel microseismic source intelligent positioning device, electronic system and computer-readable storage medium provided in the embodiments of the present invention also have the above-mentioned technical effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A schematic diagram of a possible method for intelligently locating microseismic sources in a tunnel provided in an embodiment of the present application;

[0035] Figure 2 A schematic structural block diagram of a possible tunnel microseismic source intelligent positioning device provided in an embodiment of the present application;

[0036] Figure 3 A schematic diagram of the hardware structure of a possible tunnel microseismic source intelligent positioning device provided in an embodiment of the present application;

[0037] Figure 4 A schematic structural block diagram of a possible electronic system provided in an embodiment of the present application;

[0038] Figure 5 A schematic structural block diagram of a possible computer-readable storage medium provided for an embodiment of the present application. DETAILED DESCRIPTION

[0039] The embodiments of the present application provide a method and system for intelligent positioning of microseismic sources in tunnels, which can solve the problem that in engineering scenarios such as mining and tunneling, the continuous vibration of equipment such as drilling rigs and tunnel boring machines will generate a large amount of background noise, making it more difficult to effectively extract microseismic rupture events in the rock mass.

[0040] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0041] See also Figure 1 , which is a flow chart of a method for intelligent positioning of microseismic sources in a tunnel provided in an embodiment of the present application, and may specifically include: S110-S130.

[0042] S110, establishing a geological model of the area to which the tunnel project belongs based on the geological information collected by geological exploration technology.

[0043] S120, determining fracture water information based on the geological model, wherein the fracture water information includes a position and density relationship between the fracture water and surrounding rock masses.

[0044] S130, in the process of inverting the location of the microseismic source through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the location and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source.

[0045] It is understandable that in the initial stage of tunnel microseismic source location, it is necessary to establish a geological model of the area to which the tunnel project belongs based on the geological information collected by geological exploration technology. The establishment of the geological model provides a basis for subsequent fracture water distribution analysis, microseismic wave propagation path simulation and final microseismic source location.

[0046] For example, the physical and mechanical properties and hydrogeological information of underground rock and soil are collected through drilling, seismic exploration, electromagnetic exploration, geological radar and other technical means. Special attention should be paid to the spatial distribution of cracks, the porosity of cracks, the permeability of rock mass, the thickness of rock layer, groundwater level, etc. Based on the collected data, the underground rock mass is divided into multiple grid units using finite element method, finite difference method or other numerical simulation methods to establish a three-dimensional geological model. The attributes of each grid unit in the model include the density of the rock mass, elastic modulus, Poisson's ratio, the existence and distribution of cracks, the state of groundwater, etc.

[0047] It is understandable that on the basis of the geological model, the information of fracture water is further analyzed and extracted, including the location, density, flow path, permeability, etc. of fracture water. This information is crucial in locating microseismic sources, because the presence of fracture water can significantly affect the propagation of elastic waves, especially when there are multiple propagation paths or complex geological structures.

[0048] Exemplarily, the distribution characteristics of fissure water can be obtained by means of groundwater displacement monitoring, borehole pressure testing and permeability testing. By monitoring information such as water level changes and pressure gradients, the concentration distribution, flow direction, permeability, etc. of fissure water can be determined. It is assumed that the density of fissure water is related to the type of surrounding rock mass, the width of the fissure, porosity and other characteristics. Commonly used models include the relative permeability model of fissure water and rock mass, and the hydrodynamic model of porous media. The density and permeability of fissure water will change the propagation speed of elastic waves in the rock mass. By constructing a relationship model between fissure water and rock mass, the wave velocity model can be adjusted to reflect the influence of the presence of water on the wave velocity. For example, the stronger the permeability of the fissure water, the lower the wave velocity may be, and vice versa.

[0049] It is understandable that when locating microseismic sources, the traditional ray tracing algorithm assumes that waves propagate in a straight line in a homogeneous medium, but in reality, the propagation speed of waves in different media is different, especially in the composite medium of fracture water and rock mass. Therefore, when performing microseismic source position inversion, combining fracture water information for ray tracing can effectively improve positioning accuracy.

[0050] Exemplarily, a multi-media wave propagation model is established based on the geological model and fracture water information. Assuming that the propagation of elastic waves follows the propagation law of isotropic or anisotropic media, the wave propagation path is obtained by numerically solving the wave equation. For each wave velocity change zone, the influence of fracture water on the wave velocity is considered. In traditional ray tracing algorithms, rays are assumed to be straight lines and propagate along the shortest path. In order to consider the influence of fracture water, a variable step-size ray tracing algorithm or generalized ray tracing is used to dynamically adjust the wave propagation path according to the distribution of fracture water and the properties of the rock mass. For example, assuming that when microseismic waves encounter a water area during propagation, the wave velocity will be refracted, and Snell's law can be used to describe the refraction process of the wave:

[0051]

[0052] Among them, θ1 and θ2 are the incident angle and refraction angle of the wave, and V1 and V2 are the speed of the wave in different media.

[0053] By collecting the arrival time of microseismic waves and combining the above ray tracing model, the position of the microseismic source is located using an inversion algorithm (such as the least squares method, particle swarm optimization algorithm, etc.). The goal of the inversion is to minimize the difference between the simulated wave arrival time and the actual measured arrival time, thereby obtaining the precise position of the microseismic source.

[0054] In summary, the tunnel microseismic source intelligent positioning method provided by the above embodiment establishes a geological model of the area to which the tunnel project belongs by using geological information collected based on geological exploration technology; determines the fracture water information based on the geological model, and the fracture water information includes the position and density relationship between the fracture water and the surrounding rock mass; in the process of inverting the microseismic source position through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fracture water and the surrounding rock mass to perform intelligent positioning of the microseismic source. Thus, by combining the fracture water information for ray tracing, the propagation path of microseismic waves in complex underground media can be more accurately simulated, thereby significantly improving the accuracy of microseismic source positioning. For example, in a fracture water area with high permeability, traditional methods may produce large errors, but after combining the water density relationship, the positioning error is significantly reduced. Under complex geological conditions, such as multi-layer rock mass, fracture zone and areas with large changes in groundwater content, traditional ray propagation assumptions are difficult to cope with, and this method can adapt to these complex environments by simulating the effect of water on wave velocity in real time. Through precise microseismic source positioning, potential risk areas during tunnel construction (such as water gushing caused by fissure water, rock instability, etc.) can be effectively identified, thereby optimizing construction plans and reducing the occurrence of sudden accidents.

[0055] In one embodiment, in the process of inverting the microseismic source position through the elastic wave information, ray tracing is performed in combination with the position and density relationship between the fracture water indicated by the fracture water information and the surrounding rock mass to perform intelligent positioning of the microseismic source, including:

[0056] In the process of inverting the position of the microseismic source through the elastic wave information, ray tracing is performed in combination with the position and density of the fissure water to perform intelligent positioning of the microseismic source.

[0057] In one embodiment, the fissure water information includes static water level information, and the method further includes:

[0058] Determine spatial structural relationship information of voids in the cracks and water bodies in the cracks through the static water level information, wherein the spatial structural relationship information includes water body volume parameters and void volume parameters;

[0059] In the process of inverting the microseismic source position through the elastic wave information, ray tracing is performed in combination with the position and density of the fissure water to perform intelligent positioning of the microseismic source, including:

[0060] In the process of inverting the position of the microseismic source through the elastic wave information, ray tracing is performed in combination with the water volume parameters and the void volume parameters to perform intelligent positioning of the microseismic source.

[0061] It is understandable that the hydrostatic level information provides the water level of the fracture water, which plays an important role in determining the spatial distribution of water and voids in the fracture. The hydrostatic level of the fracture water not only reflects the existence and dynamic changes of water, but also affects the interaction between water and rock mass, thereby affecting the propagation characteristics of elastic waves.

[0062] Exemplarily, by installing water level monitoring wells, static water level data of fissure water are collected. These data reflect the changes in water level in the fissure over time and can provide real-time information about the distribution of water in the fissure. Changes in static water level reflect groundwater flow, infiltration and water filling of the fissure. Using this information, the position range of the water body in the fissure and the effect of the fissure water on the rock mass can be determined. Based on the static water level data and the spatial distribution of the fissures, a spatial structure model of the fissure water and voids is established. This model describes the relative position and volume of the water body and the void. Based on the static water level and the geometry of the fissure, the volume of the water body in the fissure is calculated. The volume of the water body can be calculated by geometric methods, such as integrating the cross section of the fissure to obtain the volume of the water body:

[0063] water =∫ A h(x,y)dA

[0064] Among them, V water is the volume of the water body, A is the cross-section of the fracture, h(x,y) is the water level, and dA is the area element. The void volume parameters are estimated by the geometric characteristics of the fracture (such as fracture width, length, and shape). The void volume and water volume are usually proportional, depending on the water filling and permeability of the fracture.

[0065] It can be understood that, in combination with the above-mentioned fracture water and void volume parameters, the ray tracing algorithm is used to optimize the positioning accuracy in the microseismic source positioning process. The static water level information affects the propagation path, speed and attenuation of the wave, so it is necessary to introduce this information into the ray tracing inversion process to optimize the positioning results of the microseismic source.

[0066] For example, in the traditional ray tracing inversion method, it is assumed that the wave propagation path is a straight line. However, in areas where the fractures are filled with water, the spatial structure of the water body and the voids will significantly affect the propagation characteristics of the elastic waves, especially the wave speed and propagation direction. Due to the presence of water, the wave speed will change. The density and permeability of water affect the propagation speed of the wave. Generally, the density of water is large and the wave speed is low. Therefore, in areas where the fractures are filled with water, the wave speed needs to be corrected. The wave speed is adjusted by the water volume and void volume parameters:

[0067] V adj =f(V rock ,V water ,V void )

[0068] Among them, V adj is the adjusted wave velocity, V rock is the wave velocity of the rock mass, V water is the wave velocity of the water body, V void It is the influence of the gap.

[0069] During the inversion process, the propagation path of the elastic wave is corrected in combination with the volume parameters of the water body and the void. Due to the presence of water bodies and voids in the cracks, the wave propagation path may no longer be a straight line, but is affected by multiple refractions, reflections, etc. The wave propagation process is simulated by a ray tracing algorithm. A variable step-size ray tracing method can be used to dynamically adjust the ray path according to the propagation speed of different media (rock mass, fracture water, and voids). For example, waves propagate slowly in water bodies and voids, so the path will be refracted. The refraction angle is corrected according to Snell's law. During the ray tracing process, the arrival time data collected by each sensor is compared with the simulated propagation path, and the inversion algorithm is used to optimize the location of the microseismic source. The goal of the inversion is to minimize the difference between the simulated wave arrival time and the actual observed arrival time:

[0070]

[0071] Among them, t meas,i is the arrival time measured by the ith sensor, t sim,i is the arrival time obtained by simulating the wave propagation path.

[0072] Therefore, by combining the static water level information and the fracture water volume and void volume parameters, the wave propagation path can be simulated more accurately during the inversion process, and the accuracy of microseismic source positioning can be improved. In an environment with complex fracture water, the traditional ray straight line propagation assumption cannot accurately simulate the influence of water on wave propagation, while this method significantly improves the positioning accuracy by introducing the geometric and physical properties of water and voids. This method can handle complex geological environments with uneven distribution of fracture water and voids, and is particularly suitable for tunnels or mining areas with high fracture water content and complex void distribution. Through accurate water volume and void volume modeling, the propagation characteristics of microseismic waves can be better understood and simulated, avoiding positioning errors in traditional methods. Through real-time monitoring of static water level information and optimization of inversion algorithms, real-time positioning of microseismic sources during tunnel construction can be achieved. This method is not only suitable for static monitoring environments, but also can dynamically adjust parameters during tunnel construction to provide real-time feedback on the impact of changes in geological conditions.

[0073] In one embodiment, in the process of inverting the location of the microseismic source through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source, including:

[0074] In the process of calculating the location of the microseismic source using the group velocity inversion algorithm through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source.

[0075] In one embodiment, in the process of inverting the location of the microseismic source through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source, including:

[0076] In the process of calculating the microseismic source position by using the group velocity inversion algorithm and wavefront through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source.

[0077] It can be understood that the group velocity is the propagation speed of the wave packet, which is used to describe the propagation characteristics of the wave group. In a variety of wave propagation environments, the wave is not a single frequency, but a wave packet composed of multiple frequencies. The group velocity describes the propagation speed of the wave packet energy. The group velocity is particularly important in multi-path propagation (such as cracks, voids, etc.) because it reflects the overall propagation characteristics of the wave packet energy, not just the propagation of a single frequency. The wavefront is the equiphase surface of the wave, which refers to the collection of points with the same phase during the wave propagation process. The shape of the wavefront can reflect the propagation path of the wave. In complex media (such as rock formations with cracks and voids), the shape of the wavefront may be distorted, so changes in the wavefront can provide more information about the geological body.

[0078] For example, the estimation of group velocity is closely related to the change of geological media. In different geological bodies, the group velocity varies. By measuring the arrival time difference of different frequency components, the group velocity can be estimated and the propagation path can be corrected in combination with the wavefront information. For example, if the wave passes through a fracture zone or a cavity, the group velocity will change. By estimating the group velocity, the wave propagation path can be corrected more accurately. Assuming that in the fracture, the group velocity V g Affected by the water body, the group velocity is inversely proportional to the water level and density of the fracture. The group velocity correction formula can be expressed as:

[0079]

[0080] In irregular media, the propagation of the wavefront is affected by the changes in the medium. Depending on the geological body, the wavefront may bend or expand. The correction formula can be calculated based on Snell's law:

[0081]

[0082] Among them, θ1 and θ2 are the incident angle and refraction angle of the wave, and V1 and V2 are the speeds of the wave in different media. By combining the group velocity and wavefront information, the influence of multipath effect and medium inhomogeneity on positioning accuracy in the traditional ray method can be eliminated. For example, in the crack area, the traditional method may cause positioning errors, but through the joint analysis of group velocity and wavefront, the propagation path of the wave can be described more accurately, avoiding errors caused by multipath propagation.

[0083] In one embodiment, the elastic wave information is obtained based on an optical fiber sensor array. It is understandable that the elastic wave information obtained based on the optical fiber sensor array is an important technical means in microseismic source positioning and earthquake monitoring. Optical fiber sensors, especially arrays based on distributed optical fiber sensing technology (e.g., fiber Bragg grating (FBG) sensors and Raman scattering optical fiber sensors), have the advantages of high sensitivity, high precision and the ability to provide real-time distributed data, and are very suitable for monitoring microseismic activities in complex environments such as tunnels and mines. Exemplarily, a series of optical fiber sensors are arranged in tunnels, mines or other monitoring areas. The array layout can be a linear array, a ring array or other structure, which is adjusted according to actual monitoring needs. The layout position of the optical fiber needs to consider the wave source position, the medium type and the monitoring range. The optical fiber sensor array receives elastic wave signals emitted from the microseismic source, which include the amplitude, frequency, phase and propagation time of the wave. Since the optical fiber array is distributed, it can provide time series data of the wave propagating along the optical fiber. All sensors must be precisely synchronized to ensure that the time difference of the wave propagating from the source point to each sensor can be accurately calculated, thereby helping to invert the position of the microseismic source.

[0084] See also Figure 2 An embodiment of the tunnel microseismic source intelligent positioning device in the embodiment of the present application may include:

[0085] A modeling unit 201 is used to establish a geological model of the area to which the tunnel project belongs based on geological information collected by geological exploration technology;

[0086] An analysis unit 202 is used to determine fracture water information based on the geological model, wherein the fracture water information includes a position and density relationship between the fracture water and surrounding rock mass;

[0087] The positioning unit 203 is used to perform ray tracing in the process of inverting the microseismic source position through the monitored rock and soil elastic wave information, combined with the position and density relationship between the fissure water and the surrounding rock mass, so as to perform intelligent positioning of the microseismic source.

[0088] In summary, the tunnel microseismic source intelligent positioning device provided by the above embodiment establishes a geological model of the area to which the tunnel project belongs by collecting geological information based on geological exploration technology; determines the fracture water information based on the geological model, and the fracture water information includes the position and density relationship between the fracture water and the surrounding rock mass; in the process of inverting the microseismic source position through the monitored rock and soil elastic wave information, ray tracing is combined with the position and density relationship between the fracture water and the surrounding rock mass to perform intelligent positioning of the microseismic source. Thus, by combining the fracture water information for ray tracing, the propagation path of microseismic waves in complex underground media can be more accurately simulated, thereby significantly improving the accuracy of microseismic source positioning. For example, in a fracture water area with high permeability, traditional methods may produce large errors, but after combining the water density relationship, the positioning error is significantly reduced. Under complex geological conditions, such as multi-layer rock mass, fracture zone and areas with large changes in groundwater content, traditional ray propagation assumptions are difficult to cope with, and this method can adapt to these complex environments by simulating the effect of water on wave velocity in real time. Through precise microseismic source positioning, potential risk areas during tunnel construction (such as water gushing caused by fissure water, rock instability, etc.) can be effectively identified, thereby optimizing construction plans and reducing the occurrence of sudden accidents.

[0089] above Figure 2 The tunnel microseismic source intelligent positioning device in the embodiment of the present application is described from the perspective of modular functional entities. The tunnel microseismic source intelligent positioning device in the embodiment of the present application is described in detail from the perspective of hardware processing. Please refer to Figure 3 An embodiment of the tunnel microseismic source intelligent positioning device 300 in the embodiment of the present application includes:

[0090] An input device 301, an output device 302, a processor 303 and a memory 304, wherein the number of the processor 303 can be one or more. Figure 3In some embodiments of the present application, the input device 301, the output device 302, the processor 303 and the memory 304 may be connected via a bus or other means, wherein: Figure 3 The example of connecting through bus is taken in the following.

[0091] Wherein, by calling the operation instruction stored in the memory 304, the processor 303 is used to perform the following steps:

[0092] Establish a geological model of the area where the tunnel project is located based on the geological information collected by geological exploration technology;

[0093] Determining fracture water information based on the geological model, wherein the fracture water information includes the position and density relationship between the fracture water and the surrounding rock mass;

[0094] In the process of inverting the location of the microseismic source through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source.

[0095] By calling the operation instructions stored in the memory 304, the processor 303 is also used to execute Figure 1 Any method in the corresponding embodiment.

[0096] See also Figure 4 , Figure 4 A schematic diagram of an electronic system according to an embodiment of the present application.

[0097] like Figure 4 As shown, an embodiment of the present application provides an electronic system, including a memory 410, a processor 420, and a computer program 411 stored in the memory 420 and executable on the processor 420. When the processor 420 executes the computer program 411, the following steps are implemented:

[0098] Establish a geological model of the area where the tunnel project is located based on the geological information collected by geological exploration technology;

[0099] Determining fracture water information based on the geological model, wherein the fracture water information includes the position and density relationship between the fracture water and the surrounding rock mass;

[0100] In the process of inverting the location of the microseismic source through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source.

[0101] In the specific implementation process, when the processor 420 executes the computer program 411, it can achieve Figure 1 Any implementation manner in the corresponding embodiments.

[0102] Since the electronic system introduced in this embodiment is a device used to implement a tunnel microseismic source intelligent positioning device in the embodiment of the present application, based on the method introduced in the embodiment of the present application, technical personnel in this field can understand the specific implementation method of the electronic system of this embodiment and its various variations. Therefore, how the electronic system implements the method in the embodiment of the present application is not introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.

[0103] See also Figure 5 , Figure 5 A schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present application.

[0104] like Figure 5 As shown, this embodiment provides a computer-readable storage medium 500, on which a computer program 511 is stored. When the computer program 511 is executed by a processor, the following steps are implemented:

[0105] Establish a geological model of the area where the tunnel project is located based on the geological information collected by geological exploration technology;

[0106] Determining fracture water information based on the geological model, wherein the fracture water information includes the position and density relationship between the fracture water and the surrounding rock mass;

[0107] In the process of inverting the location of the microseismic source through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source.

[0108] In the specific implementation process, when the computer program 511 is executed by the processor, it can achieve Figure 1 Any implementation manner in the corresponding embodiments.

[0109] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0110] 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 adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0111] 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 box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes 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 computer, or other programmable data processing device to generate 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.

[0112] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate 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 A function specified in one or more boxes.

[0113] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0114] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 The process in the tunnel microseismic source intelligent positioning method in the corresponding embodiment.

[0115] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website site, a computer, a server, or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server, or data center. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integrated. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state disk (SSD)), etc.

[0116] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0117] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0118] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0119] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0120] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0121] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for intelligent positioning of microseismic sources in tunnels, characterized in that: The method comprises: Establish a geological model of the area where the tunnel project is located based on the geological information collected by geological exploration technology; Determining fracture water information based on the geological model, wherein the fracture water information includes the position and density relationship between the fracture water and the surrounding rock mass; In the process of inverting the location of the microseismic source through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source.

2. The method according to claim 1, characterized in that In the process of inverting the microseismic source position through the elastic wave information, ray tracing is performed in combination with the position and density relationship between the fracture water indicated by the fracture water information and the surrounding rock mass to perform intelligent positioning of the microseismic source, including: In the process of inverting the position of the microseismic source through the elastic wave information, ray tracing is performed in combination with the position and density of the fissure water to perform intelligent positioning of the microseismic source.

3. The method according to claim 2, characterized in that The fissure water information includes static water level information, and the method further includes: Determine spatial structural relationship information of voids in the cracks and water bodies in the cracks through the static water level information, wherein the spatial structural relationship information includes water body volume parameters and void volume parameters; In the process of inverting the microseismic source position through the elastic wave information, ray tracing is performed in combination with the position and density of the fissure water to perform intelligent positioning of the microseismic source, including: In the process of inverting the position of the microseismic source through the elastic wave information, ray tracing is performed in combination with the water volume parameters and the void volume parameters to perform intelligent positioning of the microseismic source.

4. The method according to claim 1, characterized in that In the process of inverting the location of the microseismic source through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the location and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source, including: In the process of calculating the location of the microseismic source using the group velocity inversion algorithm through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source.

5. The method according to claim 4, characterized in that In the process of inverting the location of the microseismic source through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the location and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source, including: In the process of calculating the microseismic source position by using the group velocity inversion algorithm and wavefront through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source.

6. The method according to claim 5, characterized in that In the process of calculating the microseismic source position by using the group velocity inversion algorithm and the wavefront through the monitored rock and soil elastic wave information, ray tracing is performed in combination with the position and density relationship between the fissure water and the surrounding rock mass to perform intelligent positioning of the microseismic source, including: Assume that in the crack, the group velocity V g Affected by the water body, the group velocity is inversely proportional to the water level and density of the fracture. The group velocity correction formula can be expressed as: Where Vg′ is the corrected group velocity, V g0 is the initial group velocity, α is the water body influence coefficient, ρ w is the water density, V is the wave velocity, Vg is the original group velocity; In irregular media, the propagation of the wavefront is affected by the changes in the medium. Depending on the geological body, the wavefront may bend or expand. The correction formula can be calculated based on Snell's law: Among them, θ1 and θ2 are the incident angle and refraction angle of the wave, and V1 and V2 are the speed of the wave in different media.

7. The method according to any one of claims 1 to 6, characterized in that The elastic wave information is obtained based on an optical fiber sensor array.

8. A tunnel microseismic source intelligent positioning device, characterized in that: include: A modeling unit, used to establish a geological model of the area to which the tunnel project belongs based on geological information collected by geological exploration technology; An analysis unit, configured to determine fracture water information based on the geological model, wherein the fracture water information includes a position and density relationship between the fracture water and surrounding rock mass; The positioning unit is used to perform ray tracing in the process of inverting the microseismic source position through the monitored rock and soil elastic wave information, combined with the position and density relationship between the fissure water and the surrounding rock mass, so as to perform intelligent positioning of the microseismic source.

9. An electronic system, comprising a memory and a processor, characterized in that: The processor is used to implement the steps of the tunnel microseismic source intelligent positioning method as described in any one of claims 1 to 7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the tunnel microseismic source intelligent positioning method according to any one of claims 1 to 7 are implemented.

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