Landslide monitoring method, system, device and medium based on continuous microseismic observation

Abstract

The application provides a landslide monitoring method, system, device and medium based on continuous microseismic observation, relates to the technical field of geological disaster monitoring, and comprises the following steps: acquiring real-time vibration waveform data of each monitoring point in a target landslide area; determining vibration waveform energy distribution of the target landslide area based on the real-time vibration waveform data; and determining a landslide sliding rule of the target landslide area based on high-energy abnormal distribution in the vibration waveform energy distribution, so as to improve the reliability of real-time monitoring and early warning of landslides.

Description

Technical Field

[0001] This invention relates to the field of geological disaster monitoring technology, and more specifically, to a landslide monitoring method, system, equipment, and medium based on continuous microseismic observation. Background Technology

[0002] Geological disasters are among the most frequent, destructive, and widespread natural hazards. Landslides, as the most significant geological hazard, easily cause numerous casualties and substantial economic losses. The movement and deformation processes of landslides are highly uncertain and unstable, making their development trends and rates difficult to predict accurately. Therefore, long-term continuous monitoring data and information are needed to better assess the stability and hazard of landslides.

[0003] In existing technologies, Global Navigation Satellite System (GNSS) and close-range photogrammetry techniques for landslide monitoring can only monitor surface deformation of landslides, but cannot monitor internal changes of landslides or determine the sliding surface; and techniques such as string gauges for landslide monitoring can only perform single-point monitoring and cannot fully monitor the defects in the deformation of the entire landslide body. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a landslide monitoring method, system, device and medium based on continuous microseismic observation, so as to improve the reliability of real-time monitoring and early warning of landslides.

[0005] Firstly, this application provides a landslide monitoring method based on continuous microseismic observation, including: Acquire real-time vibration waveform data at each monitoring point in the target landslide area; Based on real-time vibration waveform data, the vibration waveform energy distribution in the target landslide area is determined; whereby the vibration waveform energy distribution is the relationship between vibration waveform data and time. Based on the high-energy anomaly distribution in the vibration waveform energy distribution, the landslide sliding law of the target landslide area is determined.

[0006] Optionally, real-time vibration waveform data of each monitoring point in the target landslide area are acquired, including: The microseismic signal waveforms collected by sensors at each monitoring point in the target landslide area are used as real-time vibration waveform data.

[0007] Optionally, based on real-time vibration waveform data, the vibration waveform energy distribution of the target landslide area is determined, including: The target landslide area was divided into multiple grid cells; Based on the real-time vibration waveform data corresponding to each grid cell, the vibration waveform energy distribution of each grid cell within the target time window is determined. The vibration waveform energy distribution of each grid cell is superimposed to obtain the vibration waveform energy distribution of the target landslide area.

[0008] Optionally, based on the real-time vibration waveform data corresponding to each grid cell, the vibration waveform energy distribution of each grid cell within the target time window is determined, including: Determine the propagation travel time from each grid cell to each monitoring point; Based on the target time window and propagation travel time, the vibration waveform amplitude corresponding to each monitoring point is extracted from the real-time vibration waveform data. Based on the vibration waveform amplitude corresponding to each monitoring point within each grid cell, the vibration waveform energy distribution of the grid cell within the target time window is determined.

[0009] Optionally, the propagation travel time from each grid cell to each monitoring point is determined, including: Obtain the preset velocity model of the target landslide area; Based on the preset velocity model and the distance from each grid cell to the monitoring point, the propagation travel time from each grid cell to each monitoring point is determined.

[0010] Optionally, the energy distributions of each vibration waveform are superimposed to obtain the vibration waveform energy distribution of the target landslide area, including: Multiple target time windows can be selected by sliding based on a preset time interval as the step size; The vibration waveform energy distribution of all grid cells within each target time window is superimposed and combined to generate the instantaneous energy distribution map corresponding to the target time window; Multiple instantaneous energy distribution maps are accumulated to generate an accumulated energy distribution map, which serves as the vibration waveform energy distribution of the target landslide area.

[0011] Optionally, based on the high-energy anomaly distribution in the vibration waveform energy distribution, the landslide sliding pattern of the target landslide area is determined, including: Based on the high-energy accumulation areas in the cumulative energy distribution map, the spatial distribution morphology of the rupture development area and / or sliding surface within the landslide body in the target landslide area is inferred.

[0012] Secondly, this application provides a landslide monitoring system based on continuous microseismic observation, comprising: The data acquisition module is used to acquire real-time vibration waveform data at each monitoring point in the target landslide area; The data processing module is used to determine the vibration waveform energy distribution of the target landslide area based on real-time vibration waveform data; wherein, the vibration waveform energy distribution is the relationship between vibration waveform data and time. The landslide monitoring module is used to determine the landslide sliding pattern of the target landslide area based on the high-energy anomaly distribution in the vibration waveform energy distribution.

[0013] Thirdly, this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a landslide monitoring method based on continuous microseismic observation.

[0014] Fourthly, this application provides a computer-readable storage medium storing computer instructions, which, when executed by a processor, implement a landslide monitoring method based on continuous microseismic observation.

[0015] This invention provides a landslide monitoring method, system, device, and medium based on continuous microseismic observation. It acquires real-time vibration waveform data from each monitoring point in the target landslide area; determines the vibration waveform energy distribution in the target landslide area based on the real-time vibration waveform data; and determines the landslide sliding pattern in the target landslide area based on the high-energy anomaly distribution in the vibration waveform energy distribution, thereby improving the reliability of real-time monitoring and early warning of landslides. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A flowchart of a landslide monitoring method based on continuous microseismic observation provided by an embodiment of the present invention is shown; Figure 2 A schematic diagram of the vibration sensor provided in an embodiment of the present invention located on a landslide body is shown; Figure 3 A schematic diagram of the vibration sensor provided in an embodiment of the present invention located on the XY plane of a landslide is shown; Figure 4 A schematic diagram of the vibration sensor provided in an embodiment of the present invention located on the YZ plane of a landslide is shown; Figure 5 A schematic diagram of the vibration sensor provided in an embodiment of the present invention located on the XZ plane of a landslide is shown; Figure 6This invention provides a schematic diagram of a three-dimensional mesh of the landslide body within a target landslide area. Figure 7 The image shows waveform data of a noisy micro-vibration signal generated by a micro-vibration event received by a vibration sensor provided in an embodiment of the present invention. Figure 8 This diagram illustrates the superimposed energy cloud map of the landslide body from time zero to 800ms, provided by an embodiment of the present invention. Figure 9 This diagram illustrates a landslide body superimposed energy cloud map in the XY plane, as provided in an embodiment of the present invention. Figure 10 This diagram illustrates a landslide body superimposed with energy cloud map on the YZ plane, as provided in an embodiment of the present invention. Figure 11 A schematic diagram of the superimposed energy cloud map of the landslide body provided in an embodiment of the present invention is shown in the XZ plane; Figure 12 A schematic diagram of the structure of a landslide monitoring system based on continuous microseismic observation provided by an embodiment of the present invention is shown; Figure 13 A schematic diagram of the structure of an electronic device provided in an embodiment of the present invention is shown. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0019] This application provides a landslide monitoring method based on continuous microseismic observation, see reference. Figure 1 As shown, the landslide monitoring method based on continuous microseismic observation provided in this application includes the following: Step 110: Obtain real-time vibration waveform data of each monitoring point in the target landslide area.

[0020] In this embodiment of the application, real-time vibration waveform data of each monitoring point in the target landslide area can be obtained in the following ways: The microseismic signal waveforms collected by sensors at each monitoring point in the target landslide area are used as real-time vibration waveform data.

[0021] Specifically, multiple vibration sensors are deployed at various monitoring points along the landslide body in the target landslide area. These sensors collect vibration waveform data of the sliding surface for continuous seismic monitoring of the landslide body in the target landslide area. In this application, Figure 2 This is a schematic diagram showing the vibration sensor located within the landslide body. The inverted triangle represents the vibration sensor, and the small circles represent the distribution of micro-vibration events caused by the landslide. Figure 3 This is a schematic diagram showing the vibration sensor located on the XY plane of the landslide. Figure 4 This is a schematic diagram showing the vibration sensor located on the YZ plane of the landslide. Figure 5 This is a schematic diagram showing the vibration sensor located on the XZ plane of the landslide. By simulating micro-vibrations caused by landslides within the landslide body, the location of these micro-vibrations can be used to characterize the areas and distribution of fractures within the landslide body. Figure 3 and Figure 4 As shown, from Figure 5 The shape of the sliding surface of the landslide can be depicted, that is, the sliding surface is parallel to the landslide surface.

[0022] Step 120: Based on real-time vibration waveform data, determine the vibration waveform energy distribution of the target landslide area; wherein, the vibration waveform energy distribution is the relationship between the vibration waveform data and time.

[0023] In this embodiment of the application, the specific process for determining the vibration waveform energy distribution of the target landslide area based on real-time vibration waveform data is as follows: The target landslide area is divided into multiple grid cells; based on the real-time vibration waveform data corresponding to each grid cell, the vibration waveform energy distribution of each grid cell within the target time window is determined; the vibration waveform energy distributions of each grid cell are superimposed to obtain the vibration waveform energy distribution of the target landslide area. The process of determining the vibration waveform energy distribution of each grid cell within the target time window is as follows: determine the propagation travel time from each grid cell to each monitoring point; based on the target time window and the propagation travel time, extract the vibration waveform amplitude corresponding to each monitoring point from the real-time vibration waveform data; based on the vibration waveform amplitude corresponding to each monitoring point within each grid cell, determine the vibration waveform energy distribution of the grid cell within the target time window. Furthermore, the propagation travel time from each grid cell to each monitoring point can be determined by: obtaining a preset velocity model of the target landslide area; and determining the propagation travel time from each grid cell to each monitoring point based on the preset velocity model and the distance from each grid cell to the monitoring point.

[0024] In this application, the waveform energy superposition method is used to obtain the superimposed vibration energy distribution of the landslide body that changes over time, and then the internal rupture area, sliding surface depth and distribution of the landslide body are inferred, so as to realize the monitoring and early warning of the target landslide area at a lower cost.

[0025] Specifically, firstly, the target landslide area is divided into reasonable regularities and grids to obtain multiple grid cells, such as... Figure 6 The diagram shows a three-dimensional mesh of the landslide body within the target landslide area. The black inverted triangles represent vibration sensors, the black circles represent the distribution of microseismic events caused by the landslide, and the black dots represent the center points of the mesh cells. In this application, as... Figure 7 As shown, the vibration sensor receives the noisy micro-vibration signal waveform data generated by the micro-vibration event. This noisy micro-vibration signal waveform data is a waveform record with random noise added for 1000ms, so that the real-time vibration waveform data received by the vibration sensor is closer to the actual field situation. The landslide body in the target landslide area is three-dimensionally meshed, where the grid spacing in the X, Y and z directions of the three-dimensional mesh can be 2m, and the time interval for the vibration sensor to receive the vibration waveform data is set to 20ms. Secondly, the propagation travel time from each grid cell to each monitoring point is calculated. In this application, each grid cell uses its center point as the representative point, and the propagation travel time from each grid cell to each monitoring point is calculated. The coordinates of the center point of each grid cell are represented as follows: , will the The center point of the grid cell to the first Propagation travel time of a vibration sensor Represented as:

[0026] In the formula, For the first The center point of the grid cell to the first The distance between the vibration sensors, where, This represents the total number of vibration sensors. The uniform velocity of the landslide body can be determined by a preset velocity model; Then, the waveform superposition energy at all center points is calculated to obtain... The energy distribution of the vibration waveform at any given moment is superimposed. In this application, based on the target time window and propagation travel time, the vibration waveform amplitude corresponding to each monitoring point is extracted from the real-time vibration waveform data. Based on the vibration waveform amplitude corresponding to each monitoring point within each grid cell, the vibration waveform energy distribution of the grid cell within the target time window is determined using the following formula:

[0027] In the formula, For the first The grid cell in the first... The waveform superimposed with energy distribution at time (i.e., the target time window). For the first The center point of each grid cell is at the... A time interval, The total number of vibration sensors deployed on the landslide surface. For the first A vibration sensor in Real-time vibration waveform amplitude at any given moment The total number of time windows. The scanning time interval is the event interval at which the vibration sensor acquires vibration waveform data. For the first From the center point of the first grid cell to the... The propagation travel time of a vibration sensor, This is the amplitude function of the real-time vibration waveform; The vibration waveform energy distribution of each grid cell is superimposed to obtain the vibration waveform energy distribution of the target landslide area. In this application, multiple target time windows are selected by sliding based on a preset time interval as the step size; the vibration waveform energy distribution of all grid cells within each target time window is superimposed and combined to generate an instantaneous energy distribution map corresponding to the target time window; multiple instantaneous energy distribution maps are accumulated to generate an accumulated energy distribution map as the vibration waveform energy distribution of the target landslide area. Specifically, the vibration waveform energy distribution at each time moment is superimposed to obtain the vibration waveform energy distribution of the target landslide area, wherein the vibration waveform energy distribution from time 0 to time 1 is superimposed. Superimposed fluctuation energy distribution between moments Represented as:

[0028] In the formula, The total number of time intervals. For the first The set of vibration waveform energy distributions of all grid elements at any given time, i.e. ; The superimposed energy distribution of the three-dimensional landslide body at various time points is obtained by using waveform superposition. Then, the superimposed energies from each time point are superimposed to obtain a superimposed energy cloud map of the three-dimensional landslide body for a specific time period (i.e., the target time window), as shown below. Figure 8 The diagram shows the superimposed energy cloud map of the landslide body from time zero to 800ms, where the inverted triangle represents the vibration sensor and the small circle represents the distribution of micro-seismic events caused by the landslide. Figure 9 This is a schematic diagram of the energy cloud map superimposed on the landslide body in the XY plane. Figure 10 This is a schematic diagram of the energy cloud map superimposed on the YZ plane of the landslide body. Figure 11 This is a schematic diagram of the energy cloud map superimposed on the XZ plane of the landslide body.

[0029] Step 130: Based on the high-energy anomaly distribution in the vibration waveform energy distribution, determine the landslide sliding pattern of the target landslide area.

[0030] In this embodiment of the application, the landslide sliding pattern of the target landslide area can be determined by the following method: based on the high energy accumulation area in the cumulative energy distribution map, the spatial distribution morphology of the rupture development area and / or sliding surface inside the landslide body within the target landslide area can be inferred.

[0031] Combination Figure 9 , Figure 10 and Figure 11 It can be seen that the region with high superimposed energy coincides with the distribution area of ​​microseismic events, thus allowing the identification of the rupture zone within the landslide. Specifically, from... Figure 9 and Figure 10 The high energy distribution suggests that the sliding surface inside the landslide appears as a strip along the Y-axis on the XY plane, indicating that the landslide area is large. Figure 11 The high energy distribution can lead to the conclusion that the sliding surface inside the landslide is parallel to the landslide surface in the XZ plane, which is consistent with the shape of the theoretical sliding surface. This indicates that the sliding surface parameters can be well characterized, and thus the sliding properties and laws of the entire three-dimensional landslide body can be finally inferred.

[0032] The landslide monitoring method based on continuous microseismic observation provided in this application utilizes vibration sensors deployed on the landslide surface to receive microseismic signals generated by internal ruptures within the landslide body. By using waveform superposition, a superimposed energy volume of the landslide body at a certain moment is obtained. Then, by superimposing the three-dimensional superimposed energy volumes at various moments, a real-time landslide rupture energy volume varying over time is obtained. This allows for the inference of the morphology and distribution patterns of the landslide sliding surface, ultimately achieving real-time monitoring and early warning of landslides, thereby reducing costs and improving the reliability of landslide monitoring and early warning.

[0033] This application provides a landslide monitoring system based on continuous microseismic observation. (See attached document.) Figure 12 As shown, the landslide monitoring system based on continuous microseismic observation provided in this application includes: Data acquisition module 210 is used to acquire real-time vibration waveform data of each monitoring point in the target landslide area; Data processing module 220 is used to determine the vibration waveform energy distribution of the target landslide area based on real-time vibration waveform data; wherein, the vibration waveform energy distribution is the relationship between vibration waveform data and time. The landslide monitoring module 230 is used to determine the landslide sliding pattern of the target landslide area based on the high-energy anomaly distribution in the vibration waveform energy distribution.

[0034] It should be noted that the principle of the landslide monitoring system based on continuous microseismic observation provided in this application embodiment to solve the technical problem is similar to the landslide monitoring method based on continuous microseismic observation provided in this application embodiment. Therefore, the implementation of the landslide monitoring system based on continuous microseismic observation provided in this application embodiment can refer to the implementation of the landslide monitoring method based on continuous microseismic observation provided in this application embodiment, and the repeated parts will not be described again.

[0035] After introducing the landslide monitoring method and device based on continuous microseismic observation provided in the embodiments of this application, the electronic equipment provided in the embodiments of this application will be briefly introduced next.

[0036] See Figure 13 As shown, the electronic device 500 provided in this application embodiment includes at least a processor 501, a memory 502, and a computer program stored in the memory 502 and capable of running on the processor 501. When the processor 501 executes the computer program, it implements the landslide monitoring method based on continuous microseismic observation provided in this application embodiment.

[0037] The electronic device 500 provided in this application embodiment may further include a bus 503 connecting different components (including processor 501 and memory 502). The bus 503 represents one or more types of bus structures, including memory bus, peripheral bus, local area bus, etc.

[0038] Memory 502 may include a readable storage medium in the form of volatile memory, such as random access memory (RAM) 5021 and / or cache memory 5022, and may further include read-only memory (ROM) 5023. Memory 502 may also include a program tool 5025 having a set (at least one) of program modules 5024, including but not limited to an operating subsystem, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0039] Processor 501 can be a single processing element or a collective term for multiple processing elements. For example, processor 501 can be a central processing unit (CPU), or one or more integrated circuits configured to implement the landslide monitoring method based on continuous microseismic observation provided in the embodiments of this application. Specifically, processor 501 can be a general-purpose processor, including but not limited to CPUs, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0040] Electronic device 500 can communicate with one or more external devices 504 (e.g., keyboard, remote control, etc.), and also with one or more devices that enable a user to interact with electronic device 500 (e.g., mobile phone, computer, etc.), and / or with devices that enable electronic device 500 to communicate with one or more other electronic devices 500 (e.g., router, modem, etc.). This communication can be performed through input / output (I / O) interface 505. Furthermore, electronic device 500 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) through network adapter 506. Figure 13 As shown, network adapter 506 communicates with other modules of electronic device 500 via bus 503. It should be understood that, although... Figure 13 As not shown, other hardware and / or software modules may be used in conjunction with the electronic device 500, including but not limited to microcode, device drivers, redundant processors, external disk drive arrays, Redundant Arrays of Independent Disks (RAID) subsystems, tape drives, and data backup storage subsystems.

[0041] It should be noted that, Figure 13 The electronic device 500 shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0042] The following describes the computer-readable storage medium provided in the embodiments of this application. The computer-readable storage medium provided in the embodiments of this application stores computer instructions, which, when executed by a processor, implement the landslide monitoring method based on continuous microseismic observation provided in the embodiments of this application. Specifically, the computer instructions can be built into or installed in the processor, so that the processor can implement the landslide monitoring method based on continuous microseismic observation provided in the embodiments of this application by executing the built-in or installed computer instructions.

[0043] In addition, the landslide monitoring method based on continuous microseismic observation provided in this application embodiment can also be implemented as a computer program product. The computer program product includes program code, which implements the landslide monitoring method based on continuous microseismic observation provided in this application embodiment when running on a processor.

[0044] The computer program product provided in this application embodiment may employ one or more computer-readable storage media, which may be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination thereof. Specifically, more specific examples (a non-exhaustive list) of computer-readable storage media include electrical connections with one or more wires, portable disks, hard disks, RAM, ROM, erasable programmable read-only memory (EPROM), optical fibers, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0045] The computer program product provided in this application embodiment can be a CD-ROM and include program code, and can also run on electronic devices such as computers. However, the computer program product provided in this application embodiment is not limited thereto. In this application embodiment, the computer-readable storage medium can be any tangible medium that contains or stores program code, which can be used by or in conjunction with an instruction execution system, device, or apparatus.

[0046] It should be noted that although several units or sub-units of the device have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of this application, the features and functions of two or more units described above can be embodied in one unit. Conversely, the features and functions of one unit described above can be further divided and embodied by multiple units.

[0047] Furthermore, although the operations of the method of this application are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0048] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0049] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the claims of this application and their equivalents, this application also intends to include these modifications and variations.

Claims

1. A landslide monitoring method based on continuous microseismic observation, characterized in that, include: Acquire real-time vibration waveform data at each monitoring point in the target landslide area; The target landslide area is divided into multiple grid cells; multiple target time windows are selected by sliding based on a preset time interval as the step size; the propagation travel time from each grid cell to each monitoring point is determined; Based on the target time window and the propagation travel time, the vibration waveform amplitude corresponding to each monitoring point is extracted from the real-time vibration waveform data; based on the vibration waveform amplitude corresponding to each monitoring point within each grid cell, the vibration waveform energy distribution of the grid cell within the target time window is determined. In the formula, For the first The grid cell in the first... The waveform at time t is superimposed with the energy distribution. For the first The center point of each grid cell is at the... A time interval, The total number of vibration sensors deployed on the landslide surface. For the first A vibration sensor in Real-time vibration waveform amplitude at any given moment The total number of time windows. The scan time interval. For the first From the center point of the first grid cell to the... The propagation travel time of a vibration sensor. This is the amplitude function of the real-time vibration waveform; The vibration waveform energy distributions of all grid cells within each target time window are superimposed and combined to generate an instantaneous energy distribution map corresponding to the target time window; multiple instantaneous energy distribution maps are accumulated to generate an accumulated energy distribution map as the vibration waveform energy distribution of the target landslide area; wherein, the vibration waveform energy distribution is the relationship between vibration waveform data and time; the data from time 0 to time 1 is obtained using the following formula. Superimposed fluctuation energy distribution between moments Represented as: In the formula, The total number of time intervals. For the first The set of vibration waveform energy distributions of all grid elements at any given time, i.e. ; Based on the high-energy anomaly distribution in the energy distribution of the vibration waveform, the landslide sliding pattern of the target landslide area is determined.

2. The landslide monitoring method based on continuous microseismic observation according to claim 1, characterized in that, Acquire real-time vibration waveform data at each monitoring point in the target landslide area, including: The microseismic signal waveforms collected by sensors at each monitoring point in the target landslide area are used as the real-time vibration waveform data.

3. The landslide monitoring method based on continuous microseismic observation according to claim 1, characterized in that, Determining the propagation travel time from each of the grid cells to each of the monitoring points includes: Obtain the preset velocity model of the target landslide area; Based on the preset velocity model and the distance from each grid cell to the monitoring point, the propagation travel time from each grid cell to each monitoring point is determined.

4. The landslide monitoring method based on continuous microseismic observation according to claim 1, characterized in that, Based on the high-energy anomaly distribution in the vibration waveform energy distribution, the landslide sliding pattern of the target landslide area is determined, including: Based on the high-energy accumulation areas in the cumulative energy distribution map, the spatial distribution morphology of the rupture development area and / or sliding surface within the landslide body in the target landslide area is inferred.

5. A landslide monitoring system based on continuous microseismic observation, characterized in that, include: The data acquisition module is used to acquire real-time vibration waveform data at each monitoring point in the target landslide area; The data processing module is used to divide the target landslide area into multiple grid cells; select multiple target time windows by sliding based on a preset time interval as the step size; and determine the propagation travel time from each grid cell to each monitoring point. Based on the target time window and the propagation travel time, the vibration waveform amplitude corresponding to each monitoring point is extracted from the real-time vibration waveform data; based on the vibration waveform amplitude corresponding to each monitoring point in each grid cell, the vibration waveform energy distribution of the grid cell within the target time window is determined. In the formula, For the first The grid cell in the first... The waveform at time t is superimposed with the energy distribution. For the first The center point of each grid cell is at the... A time interval, The total number of vibration sensors deployed on the landslide surface. For the first A vibration sensor in Real-time vibration waveform amplitude at any given moment The total number of time windows. The scan time interval. For the first From the center point of the first grid cell to the... The propagation travel time of a vibration sensor. This is the amplitude function of the real-time vibration waveform; The vibration waveform energy distributions of all grid cells within each target time window are superimposed and combined to generate an instantaneous energy distribution map corresponding to the target time window; multiple instantaneous energy distribution maps are accumulated to generate an accumulated energy distribution map as the vibration waveform energy distribution of the target landslide area; wherein, the vibration waveform energy distribution is the relationship between vibration waveform data and time; the data from time 0 to time 1 is obtained using the following formula. Superimposed fluctuation energy distribution between moments Represented as: In the formula, The total number of time intervals. For the first The set of vibration waveform energy distributions of all grid elements at any given time, i.e. ; The landslide monitoring module is used to determine the landslide sliding pattern of the target landslide area based on the high-energy anomaly distribution in the energy distribution of the vibration waveform.

6. An electronic device, characterized in that, The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the landslide monitoring method based on continuous microseismic observation as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the landslide monitoring method based on continuous microseismic observation as described in any one of claims 1 to 4.

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