Tunnel radial chain rock burst microseismic detection method and device and storage medium
By deploying multiple sensors along the tunnel side gradient and dividing the detection area, a reasonable strategy for selecting P-waves and S-waves was established, solving the problem of unsatisfactory source location accuracy in traditional methods and achieving high-precision microseismic detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INST OF ROCK & SOIL MECHANICS CHINESE ACAD OF SCI
- Filing Date
- 2023-12-20
- Publication Date
- 2026-06-12
AI Technical Summary
Traditional rockburst detection methods in existing tunnel engineering employ a single-hole, single-sensor setup, resulting in suboptimal source location accuracy and failing to meet the requirements for high-precision microseismic detection.
Multiple sensors were deployed in a gradient along the tunnel side, dividing the area into three categories: Category I, Category II, and Category III. Selection strategies for P-waves and S-waves were established for each category, and the seismic source was located using known blast point coordinates and sensor coordinates.
It improved the accuracy of seismic source location, met the requirements of high-precision microseismic detection on site, and reduced detection costs.
Smart Images
Figure CN117930342B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of tunnel rock mass detection technology, specifically a method, device, and storage medium for detecting radial chain rockburst microseismic activity in tunnels. Background Technology
[0002] Microseismic detection technology is a real-time geophysical monitoring technique that uses seismic wave signals generated when rock masses fracture to study rock mass stability. Microseismic detection technology uses sensors at different spatial locations to acquire seismic wave signals generated when rock masses fracture slightly, then analyzes and processes these signals to locate the source of microseismic events (such as rockbursts and chain rockbursts). Rockbursts are dynamic phenomena involving the sudden fracturing of rock masses and the violent ejection of rock fragments during underground engineering excavation under high ground stress conditions, accompanied by the release of a large amount of energy. Due to their randomness, hazards, and suddenness, rockbursts pose a significant threat to people's lives and property and seriously affect the safe construction of underground engineering projects. Chain rockbursts refer to multiple intermittent rockbursts occurring at the same location or adjacent locations during underground engineering construction. They occur frequently, last for a long time, and cause even greater casualties and economic losses. Therefore, it is essential to accurately detect and warn of chain rockbursts using microseismic detection technology, and then take timely control measures to ensure construction safety in rockburst-prone areas.
[0003] However, the traditional rockburst detection methods in tunnel engineering currently all adopt a single-hole, single-sensor layout, which is costly in terms of manpower and time. In addition, the holes are perpendicular to the tunnel axis, and the selection of P-waves and S-waves is not reasonable, resulting in unsatisfactory source positioning accuracy and failing to meet the requirements of high-precision microseismic detection on site. Summary of the Invention
[0004] This application provides a method, device, and storage medium for detecting radial chain rockburst microseismic activity in tunnels, which can significantly improve the accuracy of seismic source positioning and meet the requirements for high-precision microseismic detection in the field.
[0005] In a first aspect, embodiments of this application provide a method for detecting radial chain rockburst microseismic activity in tunnels. The method is used for tunnel rock mass detection and includes:
[0006] Determine the target detection range for the seismic source to be detected;
[0007] Acquire features from multiple sensors deployed according to a gradient within the target detection range;
[0008] The target detection range is divided according to the characteristics of multiple sensors deployed in a gradient within the target detection range to obtain a target region, which includes a first type of region, a second type of region, and a third type of region.
[0009] A strategy for selecting P-waves and S-waves during source detection is established for the target area.
[0010] Based on the location of the first rock eruption, the source location is determined using the arrival times of the selected P-waves and S-waves within the corresponding target area, and the source location information is output.
[0011] In one embodiment, the characteristics of the multiple sensors deployed in a gradient satisfy the following condition:
[0012] Two holes are opened on each side of the tunnel at a predetermined angle to the axis.
[0013] The four boreholes are arranged in a divergent pattern, with the two boreholes at the first end of the tunnel pointing in the direction of tunnel excavation and the other two boreholes at the first end of the tunnel pointing in the opposite direction of tunnel excavation.
[0014] Sensors are arranged in a gradient pattern within the four holes, with two sensors in each hole, and the relative positions of the two sensors in each hole remain consistent.
[0015] In one embodiment, the strategy for selecting P-waves and S-waves when establishing source detection for the target area includes:
[0016] Obtain the coordinates of a known blasting point, wherein the known blasting point coordinates are the coordinates of the actual blasting point within a preset range relative to the known coordinate position;
[0017] Using the microseismic detection system and the known blast point coordinates, the wave velocity is determined in the existing spatial coordinate system of the microseismic detection system based on the known blast point coordinates, sensor coordinates, and the arrival times of P-wave and S-wave.
[0018] Based on the transmission characteristics of P-waves and S-waves, selection strategies for P-waves and S-waves are established for the first type of region, the second type of region, and the third type of region, respectively.
[0019] In one implementation, selection strategies for P-waves and S-waves are established for the first type of region, the second type of region, and the third type of region, respectively, including:
[0020] For the first type of region, P-waves and S-waves detected by all microseismic sensors were used for seismic source localization.
[0021] For the second type of region, the P-wave detected by adjacent microseismic sensors and the P-wave and S-wave detected by other microseismic sensors are used to locate the seismic source.
[0022] For the third type of region, the P-wave detected by two adjacent microseismic sensors and the P-wave and S-wave detected by the remaining microseismic sensors are used to locate the seismic source.
[0023] Secondly, embodiments of this application provide a tunnel rock mass detection device that performs the functions described in the tunnel radial chain rockburst microseismic detection method provided in the first aspect above. The functions described in the tunnel radial chain rockburst microseismic detection method can be implemented by hardware or by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above functions, and the modules can be software and / or hardware. Embodiments of this application do not limit this.
[0024] The processing module is used to determine the target detection range for the seismic source to be detected;
[0025] A transceiver module is used to acquire features from multiple sensors deployed according to a gradient within the target detection range;
[0026] The processing module is further configured to divide the target detection range according to the characteristics of multiple sensors deployed in a gradient within the target detection range to obtain a target region, wherein the target region includes a first type region, a second type region, and a third type region;
[0027] A strategy for selecting P-waves and S-waves during source detection is established for the target area.
[0028] Based on the location of the first rock eruption, the source is located using the arrival times of the selected P-waves and S-waves within the corresponding target area, and the source location information is output through the transceiver module.
[0029] In one embodiment, the characteristics of the multiple sensors deployed in a gradient satisfy the following condition:
[0030] Two holes are opened on each side of the tunnel at a predetermined angle to the axis.
[0031] The four boreholes are arranged in a divergent pattern, with the two boreholes at the first end of the tunnel pointing in the direction of tunnel excavation and the other two boreholes at the first end of the tunnel pointing in the opposite direction of tunnel excavation.
[0032] Sensors are arranged in a gradient pattern within the four holes, with two sensors in each hole, and the relative positions of the two sensors in each hole remain consistent.
[0033] In one embodiment, the processing module is specifically used for:
[0034] Obtain the coordinates of a known blasting point, wherein the known blasting point coordinates are the coordinates of the actual blasting point within a preset range relative to the known coordinate position;
[0035] Using the microseismic detection system and the known blast point coordinates, the wave velocity is determined in the existing spatial coordinate system of the microseismic detection system based on the known blast point coordinates, sensor coordinates, and the arrival times of P-wave and S-wave.
[0036] Based on the transmission characteristics of P-waves and S-waves, selection strategies for P-waves and S-waves are established for the first type of region, the second type of region, and the third type of region, respectively.
[0037] In one embodiment, the processing module is specifically used for:
[0038] For the first type of region, P-waves and S-waves detected by all microseismic sensors were used for seismic source localization.
[0039] For the second type of region, the P-wave detected by adjacent microseismic sensors and the P-wave and S-wave detected by other microseismic sensors are used to locate the seismic source.
[0040] For the third type of region, the P-wave detected by two adjacent microseismic sensors and the P-wave and S-wave detected by the remaining microseismic sensors are used to locate the seismic source.
[0041] Thirdly, embodiments of this application provide a computer device, the computer device comprising: at least one processor and a memory; wherein the memory is used to store a computer program, and the processor is used to invoke the computer program stored in the memory to execute the steps described in the first aspect and any of the embodiments of the first aspect.
[0042] Fourthly, embodiments of this application provide a computer-readable storage medium having the function of implementing the satellite solar panel fault handling method corresponding to the first aspect described above. The function can be implemented by hardware or by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above function, and the modules can be software and / or hardware. Specifically, the computer-readable storage medium stores multiple instructions adapted for loading by a processor to execute the steps of the first aspect and any embodiment of the first aspect in this application.
[0043] Compared to existing technologies, the solution provided in this application first determines the target detection range for seismic source detection; then, it acquires the characteristics of multiple sensors deployed in a gradient within the target detection range; the target detection range is divided according to the characteristics of the multiple sensors deployed in a gradient within the target detection range to obtain a target region, which includes a first type region, a second type region, and a third type region; a selection strategy for P-waves and S-waves during seismic source detection is established for the target region; and based on the location of the first rock eruption, the arrival times of the selected P-waves and S-waves within the corresponding target region are used to locate the seismic source and output the seismic source location information. Since the target area is divided into the target detection range according to the characteristics of multiple sensors deployed in a gradient, and the selection strategies for P-waves and S-waves are established for source detection in the target area respectively, the selection strategies for P-waves and S-waves are more reasonable considering the differences in the transmission characteristics of P-waves and S-waves. Therefore, when the source is located based on the location of the first rock eruption and the arrival time of the selected P-waves and S-waves in the corresponding target area, the source location can be more accurate. Even when the source location is close to the sensor, resulting in the superposition of P-waves and S-waves at the receiving end, the difficulty of identifying P-waves and S-waves on the channel can be reduced, thereby meeting the requirements for high-precision microseismic detection on site. Attached Figure Description
[0044] Figure 1 This is a schematic flowchart of a tunnel radial chain rockburst microseismic detection method in an embodiment of this application;
[0045] Figure 2 This is a schematic diagram of the placement of the micro-vibration sensors and a schematic diagram of the division of the detection area in an embodiment of this application;
[0046] Figure 3 This is a schematic diagram of a tunnel rock mass detection device in one embodiment of this application;
[0047] Figure 4 This is a schematic diagram of the physical device for implementing the radial chain rockburst microseismic detection method in tunnels, as described in this application. Detailed Implementation
[0048] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects (e.g., the first target position and the second target position in the embodiments of this application represent different location information with the same attributes), and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or modules is not necessarily limited to those explicitly listed, but may include other steps or modules not explicitly listed or inherent to these processes, methods, products, or devices. The module divisions appearing in the embodiments of this application are merely logical divisions; in actual applications, there may be other division methods. For example, multiple modules may be combined into or integrated into another system, or some features may be ignored or not performed. In addition, the shown or discussed mutual couplings or direct couplings or communication connections may be through some interfaces, and the indirect couplings or communication connections between modules may be electrical or other similar forms, none of which are limited in the embodiments of this application. Moreover, the modules or sub-modules described as separate components may or may not be physically separated, may or may not be physical modules, or may be distributed among multiple circuit modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the embodiments of this application.
[0049] In related technologies, current traditional rockburst detection methods in tunnel engineering all employ a single-hole, single-sensor setup, which incurs significant labor and time costs. Furthermore, the holes are perpendicular to the tunnel axis, and the selection of P-waves and S-waves is not optimal, resulting in suboptimal source location accuracy and failing to meet the requirements for high-precision microseismic detection in the field. Therefore, the embodiments of this application mainly adopt the following technical solutions:
[0050] When deploying multiple sensors along a ladder on the tunnel side for seismic source location, the detection area is first divided into three categories: Category 1, Category 2, and Category 3. Then, a method for selecting P-waves and S-waves for these three categories of detection areas is established. Finally, based on the location of the first rock burst, the selected P-waves and S-waves within the corresponding area are used to locate the seismic source.
[0051] The following combination Figures 1-4 The technical solutions of the embodiments of this application will be described by way of example.
[0052] See Figure 1 This application provides a method for detecting radial chain rockburst microseismic vibrations in tunnels. This method is applied in the field of tunnel rock mass detection. Embodiments of this application include:
[0053] 101. Determine the target detection range for the seismic source to be detected.
[0054] 102. Obtain the features of multiple sensors deployed according to a gradient within the target detection range.
[0055] In some implementations, the characteristics of the multiple sensors deployed in a gradient satisfy the following conditions:
[0056] Two holes are opened on each side of the tunnel at a predetermined angle to the axis.
[0057] The four boreholes are arranged in a divergent pattern, with the two boreholes at the first end of the tunnel pointing in the direction of tunnel excavation and the other two boreholes at the first end of the tunnel pointing in the opposite direction of tunnel excavation.
[0058] Sensors are arranged in a gradient pattern within the four holes, with two sensors in each hole, and the relative positions of the two sensors in each hole remain consistent.
[0059] For example, during actual construction, holes can be drilled on both sides of the tunnel at a preset angle (e.g., 45°) to the axis, with two holes on each side;
[0060] The four holes are arranged in a divergent pattern, with the first two holes pointing in the direction of tunnel excavation and the last two holes pointing in the opposite direction of tunnel excavation.
[0061] Eight sensors are arranged in a gradient pattern in four holes, with two sensors per hole, so that the relative positions of the two sensors in each hole remain consistent.
[0062] For example, the distribution of multiple sensors deployed in a gradient along both sides of the tunnel can be referenced as follows: Figure 2 The diagram shown is a partition diagram. Figure 2 ① to ⑧ in the diagram represent individual microseismic sensors, and are not limited to this one. Figure 2 The diagram shown is for illustrative purposes only.
[0063] 103. The target detection range is divided according to the characteristics of multiple sensors deployed in a gradient within the target detection range to obtain the target region.
[0064] The target area includes a first type of area, a second type of area, and a third type of area.
[0065] In some implementations, selection strategies for P-waves and S-waves are established for the first type of region, the second type of region, and the third type of region, respectively, including:
[0066] For the first type of region, P-waves and S-waves detected by all microseismic sensors were used for seismic source localization.
[0067] For the second type of region, the P-wave detected by adjacent microseismic sensors and the P-wave and S-wave detected by other microseismic sensors are used to locate the seismic source.
[0068] For the third type of region, the P-wave detected by two adjacent microseismic sensors and the P-wave and S-wave detected by the remaining microseismic sensors are used to locate the seismic source.
[0069] For example, after dividing the target area into Category I, Category II, and Category III areas, you can refer to... Figure 2 The diagram shown is not limited to this. Figure 2 The diagram shown is for illustrative purposes only. The following sections provide further explanation:
[0070] Category I area (i.e., Category 1 area): P-waves and S-waves monitored by microseismic sensors ① to ⑧ are used for seismic source location;
[0071] Type II area (i.e., the second type of area): The P wave detected by the microseismic sensor ② (or ④ or ⑥ or ⑧) and the P wave and S wave detected by the other 7 microseismic sensors are used to locate the seismic source.
[0072] Category III area (i.e., the third category area): The P-wave detected by microseismic sensors ② and ④ (or ⑥ and ⑧) and the P-wave and S-wave detected by 6 microseismic sensors were used to locate the seismic source.
[0073] 104. Establish a selection strategy for P-waves and S-waves when detecting seismic sources in the target area.
[0074] In some implementations, on the one hand, since P-waves propagate much faster than S-waves in rock masses, microseismic sensors usually receive P-waves first, followed by S-waves. In this case, using both P-waves and S-waves for source localization is more effective. On the other hand, sometimes the source location is close to the sensor, causing P-waves and S-waves at the receiving end to overlap, making them difficult to identify on the channel. Therefore, embodiments of this application can use P-waves and S-waves for source localization. Specifically, the selection strategy for P-waves and S-waves when establishing source detection for the target area includes:
[0075] Obtain the coordinates of a known blasting point, wherein the known blasting point coordinates are the coordinates of the actual blasting point within a preset range relative to the known coordinate position;
[0076] Using the microseismic detection system and the known blast point coordinates, the wave velocity is determined in the existing spatial coordinate system of the microseismic detection system based on the known blast point coordinates, sensor coordinates, and the arrival times of P-wave and S-wave.
[0077] Based on the transmission characteristics of P-waves and S-waves, selection strategies for P-waves and S-waves are established for the first type of region, the second type of region, and the third type of region, respectively.
[0078] It is evident that by fully considering the transmission characteristics of P-waves and S-waves, and establishing selection strategies for P-waves and S-waves for the first, second, and third types of regions respectively, accurate source location can be achieved during subsequent actual seismic source localization.
[0079] 105. Based on the location of the first rock eruption, use the arrival times of the selected P-waves and S-waves within the corresponding target area to locate the seismic source and output the seismic source location information.
[0080] As can be seen, in this embodiment, the target detection range to be detected is first determined; then the characteristics of multiple sensors deployed according to gradients within the target detection range are obtained; the target detection range is divided according to the characteristics of the multiple sensors deployed according to gradients within the target detection range to obtain a target region, which includes a first type region, a second type region, and a third type region; a selection strategy for P-waves and S-waves during source detection is established for the target region; based on the location of the first rock eruption, the arrival times of the selected P-waves and S-waves within the corresponding target region are used to locate the source and output the source location information. Since the target area is divided into the target detection range according to the characteristics of multiple sensors deployed in a gradient, and the selection strategies for P-waves and S-waves are established for source detection in the target area respectively, the selection strategies for P-waves and S-waves are more reasonable considering the differences in the transmission characteristics of P-waves and S-waves. Therefore, when the source is located based on the location of the first rock eruption and the arrival time of the selected P-waves and S-waves in the corresponding target area, the source location can be more accurate. Even if the source location is close to the sensor, resulting in the superposition of P-waves and S-waves at the receiving end, the difficulty of identifying P-waves and S-waves in the channel can be reduced, thereby meeting the requirements for high-precision microseismic detection on site and reducing the cost of tunnel rock mass detection.
[0081] Figures 1 to 2 Any technical feature mentioned in the embodiments corresponding to any one of the above also applies to the embodiments of this application. Figure 3 , Figure 4 The corresponding implementation examples will not be repeated hereafter.
[0082] The above describes a method for detecting radial chain rockburst microseismic activity in tunnels according to embodiments of this application. The following describes the tunnel rock mass detection device that performs the above method for detecting radial chain rockburst microseismic activity in tunnels.
[0083] See Figure 3 ,like Figure 3 The diagram shows a structural schematic of a tunnel rock mass detection device 20, which can be applied to the on-orbit use of a one-dimensional solar array drive mechanism on a satellite. The tunnel rock mass detection device 20 in this embodiment can achieve the functions described above. Figures 1-2 The steps in the tunnel radial chain rockburst microseismic detection method executed by the satellite solar panel fault handling device 20 in any corresponding embodiment. The functions implemented by the tunnel rock mass detection device 20 can be implemented by hardware or by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above functions, and the modules can be software and / or hardware. The tunnel rock mass detection device 20 may include a transceiver module 201 and a processing module 202. The functional implementation of the transceiver module 201 and the processing module 202 can be referred to Figures 1-2 The operations performed in any of the corresponding embodiments will not be described in detail here.
[0084] In some implementations, the processing module 202 can be used to determine the target detection range for the seismic source to be detected;
[0085] The transceiver module 201 can be used to acquire features of multiple sensors deployed in a gradient within the target detection range;
[0086] The processing module 202 is further configured to divide the target detection range according to the characteristics of multiple sensors deployed in a gradient within the target detection range to obtain a target region, wherein the target region includes a first type of region, a second type of region, and a third type of region;
[0087] A strategy for selecting P-waves and S-waves during source detection is established for the target area.
[0088] Based on the location of the first rock eruption, the source is located using the arrival times of the selected P-waves and S-waves within the corresponding target area, and the source location information is output through the transceiver module 201.
[0089] In one embodiment, the characteristics of the multiple sensors deployed in a gradient satisfy the following condition:
[0090] Two holes are opened on each side of the tunnel at a predetermined angle to the axis.
[0091] The four boreholes are arranged in a divergent pattern, with the two boreholes at the first end of the tunnel pointing in the direction of tunnel excavation and the other two boreholes at the first end of the tunnel pointing in the opposite direction of tunnel excavation.
[0092] Sensors are arranged in a gradient pattern within the four holes, with two sensors in each hole, and the relative positions of the two sensors in each hole remain consistent.
[0093] In one embodiment, the processing module 202 is specifically used for:
[0094] Obtain the coordinates of a known blasting point, wherein the known blasting point coordinates are the coordinates of the actual blasting point within a preset range relative to the known coordinate position;
[0095] Using the microseismic detection system and the known blast point coordinates, the wave velocity is determined in the existing spatial coordinate system of the microseismic detection system based on the known blast point coordinates, sensor coordinates, and the arrival times of P-wave and S-wave.
[0096] Based on the transmission characteristics of P-waves and S-waves, selection strategies for P-waves and S-waves are established for the first type of region, the second type of region, and the third type of region, respectively.
[0097] In one embodiment, the processing module 202 is specifically used for:
[0098] For the first type of region, P-waves and S-waves detected by all microseismic sensors were used for seismic source localization.
[0099] For the second type of region, the P-wave detected by adjacent microseismic sensors and the P-wave and S-wave detected by other microseismic sensors are used to locate the seismic source.
[0100] For the third type of region, the P-wave detected by two adjacent microseismic sensors and the P-wave and S-wave detected by the remaining microseismic sensors are used to locate the seismic source.
[0101] This scheme offers several advantages. First, since the target area is defined by dividing the detection range according to the characteristics of multiple sensors deployed in a gradient, and a selection strategy for P-waves and S-waves is established for source detection in each target area, the selection strategy is more reasonable considering the differences in the transmission characteristics of P-waves and S-waves. Therefore, when source location is performed based on the arrival times of the selected P-waves and S-waves within the corresponding target area according to the location of the first rock eruption, more accurate source location can be achieved. Second, even when the source location is close to the sensor, resulting in superposition of P-waves and S-waves at the receiving end, the difficulty of identifying P-waves and S-waves on the channel is reduced, thus meeting the requirements for high-precision microseismic detection in the field.
[0102] The tunnel rock mass detection device 20 for implementing the radial chain rockburst microseismic detection method in this application embodiment has been described above from the perspective of modular functional entities. The tunnel rock mass detection device 20 for implementing the radial chain rockburst microseismic detection method in this application embodiment will be described below from the perspective of hardware processing. It should be noted that in this application embodiment... Figure 3In the embodiments shown, the physical device corresponding to the transceiver module 201 can be an input / output unit, transceiver, radio frequency circuit, communication module, and output interface, etc., and the physical device corresponding to the processing module 202 can be a processor. Figure 3 The tunnel rock mass detection device 20 shown can have the following functions: Figure 4 The structure shown, when Figure 3 The tunnel rock mass detection device 20 shown has the following features: Figure 4 When the structure shown is used, Figure 4 The processor and transceiver in the device can perform the same or similar functions as the transceiver module 201 and processing module 202 provided in the aforementioned embodiment of the tunnel rock mass detection device 20. Figure 4 The memory stores the computer programs that the processor needs to call when executing the above-mentioned radial chain rockburst microseismic detection method for tunnels.
[0103] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.
[0104] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and modules described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0105] In the embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between devices or modules through some interfaces, and may be electrical, mechanical, or other forms.
[0106] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.
[0107] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium.
[0108] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product.
[0109] The computer program product includes one or more computer instructions. When the computer program is loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. 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. For example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. 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 data center that integrates one or more available media. The available medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., a solid-state disk (SSD)).
[0110] The technical solutions provided in the embodiments of this application have been described in detail above. Specific examples have been used in the embodiments of this application to illustrate the principles and implementation methods of the embodiments of this application. The description of the above embodiments is only for the purpose of helping to understand the methods and core ideas of the embodiments of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the embodiments of this application. Therefore, the content of this specification should not be construed as a limitation on the embodiments of this application.
Claims
1. A method for detecting radial chain rockburst microseismic activity in tunnels, the method being used for tunnel rock mass detection, characterized in that... The method includes: Determine the target detection range for the seismic source to be detected; Acquire features from multiple sensors deployed according to a gradient within the target detection range; The target detection range is divided according to the characteristics of multiple sensors deployed in a gradient within the target detection range to obtain a target region, which includes a first type of region, a second type of region, and a third type of region. A strategy for selecting P-waves and S-waves during source detection is established for the target area. Based on the location of the first rock eruption, the source location is determined using the arrival times of the selected P-waves and S-waves within the corresponding target area, and the source location information is output. The characteristics of the multiple sensors deployed in a gradient satisfy the following conditions: Two holes are opened on each side of the tunnel at a predetermined angle to the axis. The four boreholes are arranged in a divergent pattern, with the two boreholes at the first end of the tunnel pointing in the direction of tunnel excavation and the other two boreholes at the first end of the tunnel pointing in the opposite direction of tunnel excavation. Sensors are arranged in a gradient pattern within the four holes, with two sensors in each hole, and the relative positions of the two sensors in each hole remain consistent.
2. The method for detecting radial chain rockburst microseismic events in tunnels according to claim 1, characterized in that, The strategy for selecting P-waves and S-waves when establishing source detection for the target area includes: Obtain the coordinates of a known blasting point, wherein the known blasting point coordinates are the coordinates of the actual blasting point within a preset range relative to the known coordinate position; Using the microseismic detection system and the known blast point coordinates, the wave velocity is determined in the existing spatial coordinate system of the microseismic detection system based on the known blast point coordinates, sensor coordinates, and the arrival times of P-wave and S-wave. Based on the transmission characteristics of P-waves and S-waves, selection strategies for P-waves and S-waves are established for the first type of region, the second type of region, and the third type of region, respectively.
3. The method for detecting radial chain rockburst microseismic activity in tunnels according to claim 1, characterized in that, Strategies for selecting P-waves and S-waves are established for the first type of region, the second type of region, and the third type of region, respectively, including: For the first type of region, P-waves and S-waves detected by all microseismic sensors were used for seismic source localization. For the second type of region, the P-wave detected by adjacent microseismic sensors and the P-wave and S-wave detected by other microseismic sensors are used to locate the seismic source. For the third type of region, the P-wave detected by two adjacent microseismic sensors and the P-wave and S-wave detected by the remaining microseismic sensors are used to locate the seismic source.
4. A tunnel rock mass detection device, characterized in that, The tunnel rock mass detection device includes: The processing module is used to determine the target detection range for the seismic source to be detected; A transceiver module is used to acquire features from multiple sensors deployed according to a gradient within the target detection range; The processing module is further configured to divide the target detection range according to the characteristics of multiple sensors deployed in a gradient within the target detection range to obtain a target region, wherein the target region includes a first type of region, a second type of region, and a third type of region; A strategy for selecting P-waves and S-waves during source detection is established for the target area. Based on the location of the first rock eruption, the source is located using the arrival times of the selected P-waves and S-waves within the corresponding target area, and the source location information is output through the transceiver module. The characteristics of the multiple sensors deployed in a gradient satisfy the following conditions: Two holes are opened on each side of the tunnel at a predetermined angle to the axis. The four boreholes are arranged in a divergent pattern, with the two boreholes at the first end of the tunnel pointing in the direction of tunnel excavation and the other two boreholes at the first end of the tunnel pointing in the opposite direction of tunnel excavation. Sensors are arranged in a gradient pattern within the four holes, with two sensors in each hole, and the relative positions of the two sensors in each hole remain consistent.
5. The tunnel rock mass detection device according to claim 4, characterized in that, The strategy for selecting P-waves and S-waves when establishing source detection for the target area includes: Obtain the coordinates of a known blasting point, wherein the known blasting point coordinates are the coordinates of the actual blasting point within a preset range relative to the known coordinate position; Using the microseismic detection system and the known blast point coordinates, the wave velocity is determined in the existing spatial coordinate system of the microseismic detection system based on the known blast point coordinates, sensor coordinates, and the arrival times of P-wave and S-wave. Based on the transmission characteristics of P-waves and S-waves, selection strategies for P-waves and S-waves are established for the first type of region, the second type of region, and the third type of region, respectively.
6. The tunnel rock mass detection device according to claim 5, characterized in that, Strategies for selecting P-waves and S-waves are established for the first type of region, the second type of region, and the third type of region, respectively, including: For the first type of region, P-waves and S-waves detected by all microseismic sensors were used for seismic source localization. For the second type of region, the P-wave detected by adjacent microseismic sensors and the P-wave and S-wave detected by other microseismic sensors are used to locate the seismic source. For the third type of region, the P-wave detected by two adjacent microseismic sensors and the P-wave and S-wave detected by the remaining microseismic sensors are used to locate the seismic source.
7. A computer device, characterized in that, The computer device includes: At least one processor and memory; The memory is used to store computer programs, and the processor is used to invoke the computer programs stored in the memory to execute the method as described in any one of claims 1-3.
8. A computer-readable storage medium, characterized in that, It includes instructions that, when executed on a computer, cause the computer to perform the method as described in any one of claims 1-3.