Stereoscopic dynamic monitoring method and device for landslide disaster

Abstract

The application provides a landslide disaster occurrence three-dimensional dynamic monitoring method and device, and belongs to the technical field of geological disaster monitoring. The method comprises the following steps: acquiring initial ground potential data collected by an electrical method device arranged on the ground surface of a slope body region, wherein the initial ground potential data comprises a potential difference; determining the electrical property distribution characteristics of the underground space of the slope body region according to the initial ground potential data; determining a landslide body region in the slope body region according to the electrical property distribution characteristics of the underground space, wherein the landslide body region is used for installing a displacement monitoring device and a crack monitoring device; and performing landslide monitoring on the slope body region according to actual ground potential data collected by the electrical method device, relative displacement data of the landslide body and the sliding surface collected by the displacement monitoring device, and relative crack data of the landslide body and the sliding surface collected by the crack monitoring device. The application can improve the accuracy of landslide monitoring results.

Description

Technical Field

[0001] This application relates to the field of geological disaster monitoring technology, and more specifically, to a three-dimensional dynamic monitoring method and device for landslide disasters. Background Technology

[0002] my country has vast mountainous terrain and a large population living in these areas. Landslides, as a complex natural disaster, pose a significant threat to the lives of residents in mountainous regions. During the rainy season, landslides, floods, and other geological disasters occur frequently. Therefore, monitoring and early warning of landslides is a crucial issue that cannot be underestimated.

[0003] In related technologies, two technical means are usually adopted. The first is to install monitoring equipment on the surface of the landslide to collect multi-source parameters, analyze the changing trends of the multi-source parameters, judge the possibility of landslide occurrence, and issue early warnings. The second is to use Global Navigation Satellite System (GNSS) displacement gauges, crack gauges, and tilt accelerometers to collect horizontal and vertical displacement, cracks, and multi-directional tilt parameters of the landslide, and then set different parameter thresholds to correspond to different early warning levels for forecasting and early warning.

[0004] However, both of these methods can only collect multi-source data from the landslide surface and rely solely on this data for landslide early warning. If surface soil erosion, livestock damage, or other similar events occur, the monitoring results may be inaccurate. Summary of the Invention

[0005] The purpose of this application is to provide a three-dimensional dynamic monitoring method and device for landslide disasters, which can improve the accuracy of landslide monitoring results.

[0006] The embodiments of this application are implemented as follows:

[0007] A first aspect of this application provides a landslide monitoring method, comprising:

[0008] Acquire initial surface potential data collected by electrical resistivity devices deployed on the surface of the slope area. The initial surface potential data includes: potential difference.

[0009] Based on the initial surface potential data, the electrical distribution characteristics of the underground space in the slope area were determined;

[0010] Based on the electrical distribution characteristics of underground space, landslide areas within the slope area are identified, and these landslide areas are used to install displacement monitoring devices and crack monitoring devices.

[0011] Landslide monitoring is conducted on the slope area based on actual surface potential data collected by the electrical resistivity tomography device, relative displacement data between the landslide body and the sliding surface collected by the displacement monitoring device, and relative crack data between the landslide body and the sliding surface collected by the crack monitoring device.

[0012] As an optional implementation method, based on initial surface potential data, the electrical distribution characteristics of the underground space in the slope area are determined, including:

[0013] Based on the initial surface potential data, the underground resistivity is obtained through inversion, and a resistivity depth profile map along the slope direction is drawn for the slope area.

[0014] Based on the resistivity depth profile, the electrical distribution characteristics of the underground space in the slope area were determined.

[0015] As an optional implementation, based on initial surface potential data, the subsurface resistivity is obtained through inversion, and a resistivity depth profile map of the slope area along the slope direction is drawn, including:

[0016] The resistivity information of the underground space in the slope area was obtained by inverting the potential data using the least squares method.

[0017] Based on the resistivity information of the underground space, the horizontal distance between points in the slope area, and the depth of each point obtained by inversion, a resistivity depth profile map is drawn.

[0018] As an optional implementation method, based on the electrical distribution characteristics of the underground space, the landslide area within the slope area is determined, including:

[0019] Based on the electrical distribution characteristics of underground space, determine the size of the landslide body and the location of the sliding surface;

[0020] The landslide area is determined based on the size of the landslide body and the location of the sliding surface.

[0021] As an optional implementation method, the size of the landslide body and the location of the sliding surface are determined based on the electrical distribution characteristics of the underground space, including:

[0022] Based on the electrical distribution characteristics of the landslide body, the surrounding rock layer, and the underground space obtained from the resistivity depth profile, the size of the landslide body and the location of the sliding surface are determined.

[0023] As an optional implementation method, landslide monitoring is conducted on the slope area based on the actual surface potential data collected by the electrical resistivity tomography device, the relative displacement data between the landslide body and the sliding surface collected by the displacement monitoring device, and the relative crack data between the landslide body and the sliding surface collected by the crack monitoring device. This includes:

[0024] Based on actual surface potential data, relative displacement data between the landslide body and the sliding surface, and relative crack data between the landslide body and the sliding surface, the resistivity cross-sectional image, displacement variation curve, and crack variation curve of the sliding surface are determined.

[0025] Based on the resistivity cross-sectional image of the sliding surface, the displacement change curve, and the crack change curve, the trend information of underground resistivity, displacement data, and crack data is determined.

[0026] Based on the preset resistivity parameters, preset displacement parameters, preset crack parameters, information on the changing trends of underground resistivity, information on the changing trends of displacement data, and information on the changing trends of crack data, the resistivity comparison results, displacement comparison results, and crack comparison results are determined.

[0027] Based on the resistivity comparison results, displacement comparison results, and crack comparison results, the landslide monitoring results of the slope area were determined.

[0028] As an optional implementation method, the landslide monitoring results of the slope area are determined based on resistivity comparison results, displacement comparison results, and crack comparison results, including:

[0029] If the resistivity comparison result meets the first preset condition, the displacement comparison result meets the second preset condition, and the crack comparison result meets the third preset condition, then a landslide warning will be issued.

[0030] If the resistivity comparison result does not meet the first preset condition, but the displacement comparison result meets the second preset condition and the crack comparison result meets the third preset condition, then no landslide warning will be issued.

[0031] A second aspect of this application provides a landslide monitoring device, characterized in that the landslide monitoring device comprises:

[0032] The acquisition module is used to acquire the initial surface potential data collected by the electrical resistivity device deployed on the surface of the slope area. The initial surface potential data includes: potential difference.

[0033] The first determining module is used to determine the electrical distribution characteristics of the underground space in the slope area based on the initial surface potential data;

[0034] The second determining module is used to determine the landslide area within the slope body area based on the electrical distribution characteristics of the underground space. The landslide area is used to install displacement monitoring devices and crack monitoring devices.

[0035] The monitoring module is used to monitor landslides in the slope area based on the actual surface potential data collected by the electrical resistivity tomography device, the relative displacement data between the landslide body and the sliding surface collected by the displacement monitoring device, and the relative crack data between the landslide body and the sliding surface collected by the crack monitoring device.

[0036] A third aspect of this application provides a computer device, the computer device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, it implements the three-dimensional dynamic monitoring method for landslide disasters described in the first aspect.

[0037] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the three-dimensional dynamic monitoring method for landslide disasters described in the first aspect.

[0038] The beneficial effects of the embodiments of this application include:

[0039] This application provides a three-dimensional dynamic monitoring method for landslide disasters. Based on field surveys conducted by geological disaster monitoring personnel, a slope area is determined and an electrical resistivity resonator is deployed. The initial surface potential data of the slope area collected by the electrical resistivity resonator is obtained. The resistivity mapping obtained from the potential difference in the initial surface potential data is used to obtain the electrical distribution characteristics of the underground space of the slope area. Based on the electrical distribution characteristics of the underground space of the slope area, the landslide area on the slope area is determined. Displacement monitoring devices and crack monitoring devices are deployed on the delineated landslide area. Based on the resistivity data obtained from the actual surface potential data of the landslide area collected by the electrical resistivity resonator, the displacement data of the landslide relative to the sliding surface collected by the displacement monitoring device, and the crack data of the landslide relative to the sliding surface collected by the crack monitoring device, the landslide monitoring results of the slope area are determined. Specifically, the resistivity mapping obtained by inverting surface potential data of the slope area reveals the electrical distribution characteristics of the underground space in the slope area. Based on these electrical distribution characteristics, landslide areas are identified. After identifying the landslide areas, surface potential, displacement, and crack monitoring are performed in these areas. This allows for accurate monitoring of the likelihood of landslides occurring in the landslide areas of the slope, thereby improving the accuracy of landslide monitoring results. Attached Figure Description

[0040] To more clearly illustrate the technical solutions of the embodiments of this application, 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 this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This application provides a schematic diagram of a slope area as an embodiment of the present application.

[0042] Figure 2 This is a schematic diagram of the layout of an electrical resistivity device provided in an embodiment of this application;

[0043] Figure 3 This is a schematic diagram of the structure of an electrical resistivity device provided in an embodiment of this application;

[0044] Figure 4 A flowchart illustrating a three-dimensional dynamic monitoring method for landslide disasters provided in this application embodiment;

[0045] Figure 5 A flowchart illustrating the second method for three-dimensional dynamic monitoring of landslide disasters provided in this application embodiment;

[0046] Figure 6 A flowchart illustrating the third method for three-dimensional dynamic monitoring of landslide disasters provided in this application embodiment;

[0047] Figure 7 A flowchart illustrating the fourth method for three-dimensional dynamic monitoring of landslide disasters provided in this application embodiment;

[0048] Figure 8 A schematic diagram of a landslide area provided in an embodiment of this application;

[0049] Figure 9 A schematic diagram illustrating the installation of a displacement monitoring device and a crack monitoring device in a landslide area, as provided in this application embodiment;

[0050] Figure 10 This is a schematic diagram of the structure of a displacement monitoring device provided in an embodiment of this application;

[0051] Figure 11 This is a schematic diagram of the structure of a crack monitoring device provided in an embodiment of this application;

[0052] Figure 12 A flowchart illustrating the fifth method for three-dimensional dynamic monitoring of landslide disasters provided in this application embodiment;

[0053] Figure 13This is a schematic diagram of the structure of a three-dimensional dynamic monitoring device for landslide disasters provided in an embodiment of this application;

[0054] Figure 14 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application.

[0055] Attached diagram labels: 1: Slope area; 2: Electrical resistivity tomography (ERT) device; 3: Main unit of ERT device; 4: Solar panel of ERT device; 5: Power supply wire; 6: Electrode; 7: Landslide body; 8: Sliding surface; 9: Displacement monitoring device; 10: Crack monitoring device; 11: Main unit of displacement monitoring device; 12: Solar panel of displacement monitoring device; 13: Support rod of displacement monitoring device; 14: Main unit of crack monitoring device; 15: Solar panel of crack monitoring device; 16: Support rod of crack monitoring device. Detailed Implementation

[0056] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0057] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0058] Currently, landslide monitoring often employs GNSS displacement meters, crack and tilt accelerometers, etc., to collect data on the horizontal and vertical displacement, cracks, and multi-directional tilt parameters of the landslide body. Different parameter thresholds are set to correspond to different warning levels for landslide disasters. However, in this approach, monitoring instruments such as GNSS displacement meters, crack and tilt accelerometers are installed on the landslide surface. The fundamental cause of landslide disasters is the sliding of the landslide body along the sliding surface after being subjected to force. Monitoring data from the landslide surface is affected by various factors such as surface soil erosion and livestock damage. Relying solely on surface monitoring data for comprehensive analysis and warning of landslide disasters leads to inaccurate landslide monitoring results. Furthermore, relying on the experience of surveyors to delineate the location of the landslide body and install monitoring equipment makes it difficult to ensure that the monitoring equipment is accurately installed on the landslide body, thus failing to accurately monitor the landslide body and sliding surface data. This significantly reduces the accuracy of landslide monitoring results and the accuracy of landslide disaster warnings.

[0059] Therefore, this application provides a three-dimensional dynamic monitoring method for landslide disasters. Based on the surface potential data collected by electrical resistivity tomography devices installed in a pre-determined slope area, the electrical distribution characteristics of the underground space in the current slope area are determined by inversion. Based on the electrical distribution characteristics of the underground space, the landslide area is determined. Then, monitoring equipment such as crack gauges and displacement gauges are deployed in the determined landslide area to monitor the landslide data. Based on the comprehensive analysis of the landslide monitoring data, landslide disasters can be warned, which can improve the accuracy of landslide monitoring results.

[0060] Figure 1 This is a schematic diagram of a slope region 1 provided in an embodiment of this application. See also... Figure 1 Area 1 of the slope was identified by geological disaster monitoring personnel through field surveys as a potential landslide area.

[0061] Figure 2 This is a schematic diagram of the layout of an electrical resistivity device 2 provided in an embodiment of this application. See also... Figure 2 The electrical resistivity tomography (EPR) device 2 is installed within the defined area of ​​the slope region 1 and is mainly used to obtain surface potential data of the slope region 1. It is worth noting that when the geological disaster monitoring personnel determine the slope region prone to landslides, they begin to select locations to deploy the EPR device 2.

[0062] Figure 3 This is a schematic diagram of the structure of an electrical resistivity device 2 provided in an embodiment of this application. See also... Figure 3 The electrical resistivity tomography (EPT) device 2 includes a main unit 3, a solar panel 4, a power supply wire 5 close to the ground surface, and multiple electrodes 6 deployed underground throughout the slope area. The solar panel 4 converts solar energy into electrical energy, which is then boosted by an internal voltage booster device. This provides long-distance power to the main unit 3 and the electrodes 6 during data acquisition. The solar panel 4 is wired to the main unit 3, and the main unit 3 is connected to each electrode 6 via power supply wires. Each electrode 6 is deployed underground throughout the slope area 1 to acquire potential data at various points within the slope area 1. The power supply wire 5, in addition to supplying power to the electrodes 6, also transmits the potential data collected by each electrode 6 to the main unit 3. The main unit 3 acquires and stores the surface potential data collected by each electrode 6. Finally, the main unit 3 transmits the potential data of the slope area 1 to a terminal device in the computer room via wireless communication technology.

[0063] Optionally, the electrical resistivity measuring device 2 often employs a high-density resistivity electrical resistivity measuring device. Commonly used high-density resistivity electrical resistivity measuring devices include the Wenner device, dipole device, and differential device. The detection results of the dipole device and the differential device are similar in their response to anomalies. The Wenner device is more suitable for detecting terrain with small electrical changes and can more clearly reflect the anomalous change blocks. Geological hazard monitoring personnel can choose the appropriate device based on the geological conditions of the slope area currently being monitored. This application does not impose specific limitations on this selection.

[0064] Optionally, the electrode 6 can be made of copper and has a pointed shape. This design makes it easy to embed the electrode 6 underground and provides good conductivity and corrosion resistance underground. Each node of the power supply wire 5 is connected to the end of the electrode 6 that is not embedded underground, and the other end of the power supply wire 5 is connected to the host 3 of the electrical resistivity device. This allows the power supply wire 5 to transmit the data collected by each electrode 6 to the host 3 of the electrical resistivity device while supplying power to each electrode 6.

[0065] Optionally, the power supply wire 5 is a multi-core cable with multiple nodes. Each node corresponds to a programmable electrode conversion switch, which can automatically switch the electrode device type, electrode spacing, and measuring points. Since the total number of surface measuring points for a fixed profile of a slope area is fixed, the number of surface measuring points in the slope area will decrease accordingly when the electrode spacing is increased.

[0066] It is worth noting that the surface of the slope area 1 may not be flat. The installation location of the electrical resistivity device 2 is selected in a relatively flat area. The multiple electrodes 6 of the electrical resistivity device 2 are evenly spaced to ensure that the entire slope area 1 is covered. This application does not make specific limitations on the arrangement distance of the multiple electrodes 6 or the installation location of the electrical resistivity device 2.

[0067] The three-dimensional dynamic monitoring method for landslide disasters provided in the embodiments of this application will be explained in detail below.

[0068] Figure 4 A flowchart illustrating a three-dimensional dynamic monitoring method for landslide disasters provided in this application is shown. This method can be applied to computer equipment, which can be the aforementioned terminal device. See also... Figure 4 This application provides a landslide monitoring method, including:

[0069] S401. Obtain the initial surface potential data collected by the electrical resistivity tomography (OTT) device deployed on the surface of the slope area. The initial surface potential data includes: potential difference.

[0070] Optionally, the potential data on the surface of the slope area collected by the electrical resistivity device can be obtained from the host of the electrical resistivity device through wireless communication technology. The surface potential data of the slope area collected by the pre-installed electrical resistivity device is used as the initial surface potential data, which includes the potential difference.

[0071] S402. Based on the initial surface potential data, determine the electrical distribution characteristics of the underground space in the slope area.

[0072] Optionally, the initial potential data of the slope area can be analyzed. Based on the initial potential data, the resistivity of the underground space can be obtained by inversion using the least quadratic method, thus mapping the electrical distribution characteristics of the underground space in the slope area.

[0073] Optionally, the electrical distribution characteristics of the underground space in the slope area include various geological electrical distribution characteristics such as the electrical distribution characteristics of the surrounding rock layer and the electrical distribution characteristics of the landslide area.

[0074] S403. Based on the electrical distribution characteristics of the underground space, determine the landslide area within the slope area. The landslide area is used to install displacement monitoring devices and crack monitoring devices.

[0075] Optionally, based on the electrical distribution characteristics of the underground space in the slope area, the landslide area included in the slope area can be determined. On the delineated landslide area, a suitable location is selected to install displacement monitoring devices and crack monitoring devices. Both displacement monitoring devices and crack monitoring devices are installed on the landslide area, and the displacement monitoring devices and crack monitoring devices are separated by a certain safe distance to ensure that the two monitoring devices can work independently.

[0076] S404. Based on the actual surface potential data collected by the electrical resistivity tomography device, the relative displacement data between the landslide body and the sliding surface collected by the displacement monitoring device, and the relative crack data between the landslide body and the sliding surface collected by the crack monitoring device, landslide monitoring is carried out in the slope area.

[0077] Optionally, the landslide monitoring results for the slope area can be determined based on the actual surface potential data of the landslide area collected by the electrical resistivity tomography device, the relative displacement data of the landslide body relative to the sliding surface collected by the displacement monitoring device, and the crack data of the landslide body relative to the sliding surface collected by the cracking device.

[0078] In this embodiment, based on field surveys conducted by geological disaster monitoring personnel, the slope area is determined and electrical resistivity devices are deployed to acquire initial surface potential data of the slope area collected by the electrical resistivity devices. The resistivity mapping obtained from the initial surface potential data is used to obtain the electrical distribution characteristics of the underground space of the slope area. Based on the electrical distribution characteristics of the underground space of the slope area, landslide areas on the slope area are determined. Displacement monitoring devices and crack monitoring devices are deployed on the delineated landslide areas. Based on the resistivity data obtained from the actual surface potential data of the landslide area collected by the electrical resistivity devices, the displacement data of the landslide relative to the sliding surface collected by the displacement monitoring devices, and the crack data of the landslide relative to the sliding surface collected by the crack monitoring devices, the landslide monitoring results of the slope area are determined. Specifically, the resistivity mapping obtained by inverting surface potential data of the slope area reveals the electrical distribution characteristics of the underground space in the slope area. Based on these electrical distribution characteristics, landslide areas are identified. After identifying the landslide areas, surface potential, displacement, and crack monitoring are performed in these areas. This allows for accurate monitoring of the likelihood of landslides occurring in the landslide areas of the slope, thereby improving the accuracy of landslide monitoring results.

[0079] In one possible implementation, see [link to relevant documentation]. Figure 5 The specific operation of step S402 can be as follows:

[0080] S501. Based on the initial surface potential data, the underground resistivity is obtained through inversion, and a resistivity depth profile map along the slope direction of the slope area is drawn.

[0081] Optionally, by inverting the initial surface potential data of the slope area, a resistivity depth profile map of the slope area along the slope direction can be drawn.

[0082] S502. Based on the resistivity depth profile, determine the electrical distribution characteristics of the underground space in the slope area.

[0083] Optionally, the electrical distribution characteristics of the underground space in the slope area can be fed back through resistivity depth profile maps.

[0084] Optionally, according to the resistivity depth profile of the slope area, the entire profile is dominated by low resistivity, with a relatively low resistivity anomaly in the shallow part and a relatively high resistivity anomaly in the deep part.

[0085] For example, suppose 120 electrodes are laid out on slope area A with a spacing of 5 meters and a survey line direction of 45 degrees. The resistivity of slope area A is 15–100 Ω·m. At measuring points 1–50 in the profile, there is a low-resistivity anomaly in the shallow part, with a resistivity range of 15–40 Ω·m and a thickness of approximately 20–30 m, presumably indicating a first-stage landslide. In the deeper part, there is a relatively high-resistivity anomaly of approximately 40–70 Ω·m, presumably indicating a sliding bed, with a thickness of approximately 28–65 m. At measuring points 45–120 in the profile, there is a low-resistivity anomaly in the shallow part, with a range of 15–40 Ω·m and a thickness of approximately 5–50 m, presumably indicating a second-stage landslide. Based on the anomaly characteristics, the landslide in the middle of the profile (approximately 40 m) is thicker than the landslide at the tail end of the profile (approximately 10 m).

[0086] In this embodiment, the resistivity depth profile of the slope area along the slope direction is determined by inversion results of the initial surface potential data of the slope area collected by the electrical resistivity device. Based on the resistivity depth profile of the slope area along the slope direction, the electrical distribution characteristics of the corresponding underground space are determined. This allows for accurate identification of the landslide area, enabling landslide monitoring. Thus, the accuracy of landslide monitoring results can be improved.

[0087] In one possible implementation, see [link to relevant documentation]. Figure 6 The specific operation of step S501 can be as follows:

[0088] S601. The potential data is inverted using the least squares method to obtain the resistivity information of the underground space in the slope area.

[0089] Optionally, the initial surface potential data of the slope area can be inverted using the least squares method to obtain the resistivity information of the underground space corresponding to the slope area. The resistivity information includes resistivity values.

[0090] Optionally, the method for inverting the potential data can be either using INVRes2D high-density resistivity data processing software or Earth-Imager2D high-density resistivity data processing software; this application does not impose any specific limitations.

[0091] S602. Based on the resistivity information of the underground space, the horizontal distance between each point in the slope area, and the depth of each point obtained by inversion, draw a resistivity depth profile diagram.

[0092] Optionally, a resistivity depth profile is drawn based on the resistivity information of the underground space, the horizontal distances of each electrode deployed on the slope area, and the depths of each point corresponding to the resistivity obtained by inverting the initial surface potential data detected by each electrode. The resistivity depth profile is used to reflect the relationship between the depth of each point in the slope area and the resistivity.

[0093] Optionally, taking the Earth-Imager2D high-density resistivity analysis software as an example, the specific steps are as follows: Start Earth-Imager2D, open the STG data file, add the topographic inversion file of the current slope area, set the corresponding inversion parameters, statistically analyze the initial surface potential data of the collected slope area, filter out unqualified potential data, perform inversion using the least squares method, if convergence is not achieved, delete data using histogram and continue inversion to ensure the final inversion result converges, display the image based on the inversion result, adjust the colors, enter the map name, and save the inversion result. This inversion result is the resistivity depth profile map.

[0094] In this embodiment, the resistivity information of the underground space corresponding to the slope area is obtained by performing least squares inversion on the initial surface potential data of the slope area. Based on the resistivity information of the underground space corresponding to the slope area, the horizontal position of the electrodes deployed on the slope area, and the detection depth, a resistivity depth profile of the slope area along the slope direction is determined. This allows for the determination of the size of the landslide on the slope area. Thus, the accuracy of landslide monitoring results can be improved.

[0095] In one possible implementation, see [link to relevant documentation]. Figure 7 The specific operation of step S403 can be as follows:

[0096] S701. Determine the size of the landslide body and the location of the sliding surface based on the electrical distribution characteristics of the underground space.

[0097] Optionally, the size of the slope and the location of the sliding surface corresponding to the landslide can be determined based on the electrical distribution characteristics of the underground space in the slope area.

[0098] Optionally, the size of the slope can be determined based on the resistivity depth profile of the slope area along the slope direction. The size of the landslide can be determined according to the corresponding landslide depth. The size of the landslide includes shallow landslides, medium-level landslides, thick-level landslides, and super-thick-level landslides. Among them, the depth of shallow landslides is less than 6 meters, the depth of medium-level landslides is between 6 and 20 meters, the depth of thick-level landslides is between 20 and 50 meters, and the depth of super-thick-level landslides is greater than 50 meters.

[0099] S702. Based on the size of the landslide body and the location of the sliding surface, the landslide area is obtained.

[0100] Optionally, the landslide area includes the landslide body and the sliding surface. The size of the landslide area is determined by the size of the landslide body, and the location of the landslide area is determined by the location of the sliding surface.

[0101] Figure 8A schematic diagram of a landslide area provided in an embodiment of this application is shown below. Figure 8 The landslide area includes a landslide body 7 and a sliding surface 8. In this embodiment, the size of the landslide body and the location of the sliding surface are determined by analyzing the electrical distribution characteristics of the underground space within the slope area. Based on the size of the landslide body and the location of the sliding surface, the location of the landslide area within the slope area is determined, and landslide monitoring is then performed on the landslide area. This improves the accuracy of landslide monitoring results.

[0102] In one possible implementation, the operation of step S701 above can specifically be:

[0103] Based on the electrical distribution characteristics of the landslide body, the surrounding rock layer, and the underground space obtained from the resistivity depth profile, the size of the landslide body and the location of the sliding surface are determined.

[0104] Optionally, the electrical distribution characteristics of the landslide body are that the electrical distribution of the landslide body is uniform throughout the entire landslide area, while the electrical distribution of the surrounding rock layer is significantly different from that of the landslide body, that is, the electrical properties of the surrounding rock layer and the landslide body will form an electrical difference layer.

[0105] Optionally, the electrical resistivity device collects surface potential data of the slope area, and maps the resistivity obtained by inverting the surface potential data of the slope to the electrical distribution characteristics of the underground space of the slope area. The electrical distribution characteristics of the underground space of the slope area include the electrical distribution characteristics of the landslide body and the electrical distribution characteristics of the surrounding rock layer.

[0106] Optionally, the electrical distribution characteristics of the landslide body, the electrical distribution characteristics of the surrounding rock layer, and the electrical distribution characteristics of the underground space in the slope area can be compared. The area that matches the electrical distribution characteristics of the landslide body is the landslide body, and the area that matches the electrical distribution characteristics of the surrounding rock layer is the surrounding rock layer. The size of the landslide body is determined based on the size of the area that matches the preset electrical distribution characteristics of the landslide body, and the sliding surface can be determined based on the location of the area occupied by the landslide body.

[0107] Figure 9 A schematic diagram of a displacement monitoring device 9 and a crack monitoring device 10 installed in a landslide area, as provided in an embodiment of this application, is shown below. Figure 9 Based on the electrical distribution characteristics of the underground space in slope area 1, the size of the landslide and the location of the sliding surface are determined. Then, based on the size of the landslide and the location of the sliding surface, the installation locations of the displacement monitoring device 9 and the crack monitoring device 10 are selected.

[0108] Optionally, the displacement monitoring device 9 is installed at a suitable position above the sliding surface 8 to collect displacement data of the landslide body 7 relative to the sliding surface 8. Based on the determined size of the landslide body 7 and the sliding surface 8, geological disaster monitoring personnel select a suitable position to install the displacement monitoring device 9.

[0109] Optionally, the crack monitoring device 10 is also installed at a suitable position above the sliding surface 8 to collect crack data of cracks generated between the landslide body 7 and the sliding surface 8. The crack monitoring device 10 and the displacement monitoring device 9 are at a certain distance to ensure that the installation of the displacement monitoring device 9 and the crack monitoring device 10 does not interfere with each other. Based on the determined size of the landslide body 7 and the sliding surface 8, the geological disaster monitoring personnel select a position to install the crack monitoring device 10 within a safe distance from the displacement monitoring device 9.

[0110] Figure 10 This is a schematic diagram of the structure of a displacement monitoring device 9 provided in an embodiment of this application. See also... Figure 10 The displacement monitoring device 9 consists of three parts: the main unit 11 of the displacement monitoring device, the solar panel 12 of the displacement monitoring device, and the support rod 13 of the displacement monitoring device.

[0111] Optionally, the solar panel 12 of the displacement monitoring device converts solar energy into electrical energy to power the main unit 11 of the displacement monitoring device. The bottom of the support rod 13 of the displacement monitoring device is installed on the slope, and the main unit 11 of the displacement monitoring device is installed on the top of the support rod 13. The main unit 11 of the displacement monitoring device can automatically collect displacement data between the landslide body 7 and the sliding surface 8, and transmit the collected displacement data between the landslide body 7 and the sliding surface 8 to a computer device through wireless communication technology.

[0112] As an optional implementation, a horizontal square pit can be dug at a suitable location on the slope where the landslide body 7 and the sliding surface 8 are located, and cement can be poured in. The bottom of the support rod 13 of the displacement monitoring device can be inserted into the cement to make the displacement monitoring device 9 installed firmly. The solar panel 12 of the displacement monitoring device is installed above the support rod 13 of the displacement monitoring device, close to the main unit 11 of the displacement monitoring device. This can ensure that the solar panel collects solar energy with the highest efficiency and is not affected by the shade of trees.

[0113] Optionally, the displacement monitoring device 9 can be a GNSS displacement monitor, or a displacement monitoring integrated machine, a wire displacement gauge, or a landslide monitor, etc. This application does not make specific limitations in this regard.

[0114] Optionally, in addition to monitoring the amount of displacement of the landslide body 7 relative to the sliding surface 8, the displacement monitoring device 9 also monitors the displacement direction and displacement rate of the landslide body 7 relative to the sliding surface 8.

[0115] Figure 11 This is a schematic diagram of the structure of a crack monitoring device 10 provided in an embodiment of this application. See also... Figure 11 The crack monitoring device 10 consists of three parts: the main unit 14 of the crack monitoring device, the solar panel 15 of the crack monitoring device, and the support rod 16 of the crack monitoring device.

[0116] Optionally, the solar panel 15 of the crack monitoring device converts solar energy into electrical energy to power the main unit 14 of the crack monitoring device. The bottom of the support rod 16 of the crack monitoring device is installed on the slope, and the main unit 14 of the crack monitoring device is installed on the top of the support rod 16. The main unit 14 of the crack monitoring device can automatically collect crack data between the landslide body 7 and the sliding surface 8, and transmit the collected crack data between the landslide body 7 and the sliding surface 8 to a computer device through wireless communication technology.

[0117] As an optional implementation, a horizontal square pit can be dug at a suitable location on the slope where the landslide body 7 and the sliding surface 8 are located, and cement can be poured in. The bottom of the support rod 16 of the crack monitoring device can be inserted into the cement to make the crack monitoring device 10 installed firmly. The solar panel 15 of the crack monitoring device is installed above the support rod 16 of the crack monitoring device, close to the main unit 14 of the crack monitoring device. This can ensure that the solar panel collects solar energy with the highest efficiency and is not affected by the shade of trees.

[0118] Optionally, the crack monitoring device 10 can be a surface laser crack SD151 monitor, or a crack width monitor, a GNSS crack monitor, or a resistive crack monitor, etc. This application does not make specific limitations on this.

[0119] Optionally, the crack monitoring device 10 is used not only to monitor the distance between the cracks generated by the landslide body 7 and the sliding surface 8, but also to monitor data such as the crack depth, crack length, crack direction, and crack generation time of the landslide body 7 relative to the sliding surface 8.

[0120] In one possible implementation, see [link to relevant documentation]. Figure 12 The specific operation of step S404 above can be as follows:

[0121] S1201. Based on actual surface potential data, relative displacement data between the landslide body and the sliding surface, and relative crack data between the landslide body and the sliding surface, determine the resistivity cross-sectional image, displacement variation curve, and crack variation curve of the sliding surface.

[0122] Optionally, after the displacement monitoring device and crack monitoring device are installed, the surface potential data of the slope area is collected in real time again by the electrical resistivity tomography device, and the real-time surface potential data of the landslide area contained in the slope area is used as the actual surface potential data of the landslide area.

[0123] Optionally, the relative displacement data between the landslide body and the sliding surface includes the distance, direction, and rate of displacement of the landslide body relative to the sliding surface. The relative crack data between the landslide body and the sliding surface includes the width, depth, length, and orientation of the cracks generated by the landslide body relative to the sliding surface. It is worth noting that only the landslide body itself moves within the landslide area; the sliding surface remains on the slope region. The landslide body moves only during a landslide disaster.

[0124] Optionally, by inverting the actual surface potential data of the landslide area, it can be determined whether the landslide area has slid relative to the slope area. Based on the relative displacement data between the landslide body and the sliding surface, it can be determined how much displacement, direction, and rate of movement of the landslide body relative to the sliding surface have occurred. Based on the relative crack data between the landslide body and the sliding surface, it can be determined how wide, deep, and oriented the cracks are. Based on the actual surface potential data of the landslide area, the relative displacement data between the landslide body and the sliding surface, and the relative crack data between the landslide body and the sliding surface, the actual surface potential data is processed using the high-density resistivity method to draw a resistivity depth profile image along the depth direction of the sliding body. At the same time, crack data change curves and displacement data change curves are drawn based on the data monitored by the monitoring equipment.

[0125] S1202. Based on the resistivity cross-sectional image of the sliding surface, the displacement change curve, and the crack change curve, determine the trend information of underground resistivity, displacement data, and crack data.

[0126] Optionally, the resistivity cross-sectional image of the sliding surface can be used to determine the trend of underground resistivity changes in the sliding body region, including the magnitude and rate of resistivity changes. Based on the displacement change image, the trend of relative displacement data between the landslide body and the sliding surface can be determined, including the magnitude, direction, and rate of displacement changes. Based on the crack change image, the trend of relative crack data between the landslide body and the sliding surface can be determined, including the magnitude of crack width and depth changes, crack orientation, and crack formation rate.

[0127] S1203. Based on the preset resistivity parameters, preset displacement parameters, preset crack parameters, underground resistivity variation trend information, displacement data variation trend information, and crack data variation trend information, determine the resistivity comparison results, displacement comparison results, and crack comparison results.

[0128] Optionally, the resistivity comparison result is determined based on preset resistivity parameters and the trend information of underground resistivity changes in the landslide area. The preset resistivity parameters indicate the resistivity changes during the safe period before a landslide occurs in the landslide area. These parameters are set according to the geological conditions of the landslide area, and the resistivity comparison result includes both cases where the resistivity exceeds the preset resistivity parameters and cases where it falls within the preset resistivity parameters. It is worth noting that the preset resistivity parameter can be 0.

[0129] Optionally, the displacement comparison result is determined based on preset displacement parameters and the changing trend information of the relative displacement data between the landslide body and the sliding surface. The preset displacement parameters indicate the displacement parameters of the landslide body relative to the sliding surface during the safe period when no landslide has occurred in the landslide area. The displacement comparison result of soil samples taken from the landslide body includes both cases within and exceeding the preset displacement parameters. It is worth noting that the preset displacement parameters can be 0.

[0130] Optionally, the crack comparison results are determined based on preset crack parameters and the changing trend information of the relative crack data between the landslide body and the sliding surface. The preset crack parameters indicate the crack parameters of the landslide body relative to the sliding surface during the safe period when no landslide has occurred in the landslide area. The displacement comparison results of the soil samples taken from the landslide body include both cases within and exceeding the preset crack parameters. It is worth noting that the preset crack parameters can be 0.

[0131] S1204. Based on the resistivity comparison results, displacement comparison results, and crack comparison results, determine the landslide monitoring results for the slope area.

[0132] Optionally, the landslide monitoring results can be determined by combining the resistivity comparison results, displacement comparison results, and crack comparison results.

[0133] In this embodiment, by using actual surface potential data of the landslide area, displacement data of the landslide relative to the sliding surface, and crack data of the landslide relative to the sliding surface, resistivity cross-sectional images, displacement variation curves, and crack variation curves of the landslide in the depth direction are determined through inversion. Furthermore, the trends in underground resistivity, displacement, and crack data in the landslide area are determined. Based on preset resistivity, displacement, and crack parameters, resistivity comparison results, displacement comparison results, and crack comparison results are determined. By combining these comparison results, the likelihood of a landslide occurring in the underground depth direction is determined, thus improving the accuracy of landslide monitoring. This achieves the effect of improving the accuracy of landslide monitoring.

[0134] In one possible implementation, the operation of step S1204 above can specifically be:

[0135] If the potential comparison result meets the first preset condition, the displacement comparison result meets the second preset condition, and the crack comparison result meets the third preset condition, then a landslide warning will be issued.

[0136] Optionally, when the resistivity comparison result meets the first preset condition, it indicates that the underground resistivity in the landslide area has changed significantly. The first preset condition is used to indicate the landslide disaster level corresponding to the resistivity at the time of landslide warning. The first preset condition can be 2Ωm to 5Ωm or 5Ωm to 10Ωm, and this application does not make a specific limitation on it. Wherein, when the potential comparison result meets the first preset condition, a landslide disaster will definitely occur.

[0137] Optionally, a landslide warning is issued only when the resistivity comparison result meets the first preset condition, the displacement comparison result meets the second preset condition, and the crack comparison result meets the third preset condition. The landslide warning information includes the landslide disaster level, the size of the landslide body, and the time of the landslide occurrence.

[0138] Optionally, the second preset condition is used to indicate the displacement range of the landslide body relative to the sliding surface during a landslide disaster. The second preset condition can be 10mm to 50mm, or 15mm to 70mm, etc. This application does not make a specific limitation on this.

[0139] Optionally, the third preset condition is used to indicate the crack range generated by the landslide disaster relative to the sliding surface. The third preset condition can be 20mm to 60mm, or 30mm to 80mm, etc. This application does not make a specific limitation on this.

[0140] If the resistivity comparison result does not meet the first preset condition, but the displacement comparison result meets the second preset condition and the crack comparison result meets the third preset condition, then no landslide warning will be issued.

[0141] Optionally, if the resistivity comparison results do not meet the first preset condition, i.e. the resistivity change in the landslide area is small, which may be due to the influence of natural conditions such as temperature and climate, and the displacement data of the landslide body relative to the sliding surface meets the displacement range in the landslide disaster, and the crack data generated by the landslide body relative to the sliding surface also meets the crack range in the landslide disaster, then no landslide warning will be issued, which can effectively avoid false warnings caused by external interference.

[0142] In this embodiment, a landslide warning is only issued when three conditions are met: the resistivity comparison result meets a first preset condition, the displacement comparison result meets a second preset condition, and the crack comparison result meets a third preset condition. If only the crack comparison result meets the third preset condition, or only the displacement comparison result meets the second preset condition, but the resistivity comparison result does not meet the first preset condition, then a landslide is not considered to have occurred in the current landslide area. This effectively avoids crack or landslide displacement caused by external factors. Thus, the accuracy of landslide monitoring results can be improved.

[0143] The following describes the apparatus, equipment, and computer-readable storage medium used to implement the three-dimensional dynamic monitoring method for landslide disasters provided in this application. The specific implementation process and technical effects are described above and will not be repeated below.

[0144] Figure 13 This is a schematic diagram of the structure of a three-dimensional dynamic monitoring device for landslide disasters provided in an embodiment of this application. See also... Figure 13 The device includes:

[0145] The acquisition module 1301 is used to acquire the initial surface potential data collected by the electrical resistivity device deployed on the surface of the slope area. The initial surface potential data includes: potential difference.

[0146] The first determining module 1302 is used to determine the electrical distribution characteristics of the underground space in the slope area based on the initial surface potential data;

[0147] The second determining module 1303 is used to determine the landslide area within the slope area based on the electrical distribution characteristics of the underground space. The landslide area is used to install displacement monitoring devices and crack monitoring devices.

[0148] The monitoring module 1304 is used to monitor landslides in the slope area based on the actual surface potential data collected by the electrical resistivity tomography device, the relative displacement data between the landslide body and the sliding surface collected by the displacement monitoring device, and the relative crack data between the landslide body and the sliding surface collected by the crack monitoring device.

[0149] As one possible implementation, the first determining module 1302 can also be used for:

[0150] Based on the initial surface potential data, the underground resistivity is obtained through inversion, and a resistivity depth profile map along the slope direction is drawn for the slope area.

[0151] Based on the resistivity depth profile, the electrical distribution characteristics of the underground space in the slope area were determined.

[0152] As one possible implementation, the first determining module 1302 is specifically used for:

[0153] The resistivity information of the underground space in the slope area was obtained by inverting the potential data using the least squares method.

[0154] Based on the resistivity information of the underground space, the horizontal distance of each point in the slope area, and the depth of each point obtained by inversion, a resistivity depth profile map is drawn.

[0155] As one possible implementation, the second determining module 1303 can also be used for:

[0156] Based on the electrical distribution characteristics of underground space, determine the size of the landslide body and the location of the sliding surface;

[0157] The landslide area is determined based on the size of the landslide body and the location of the sliding surface.

[0158] As one possible implementation, the second determining module 1303 is specifically used for:

[0159] Based on the pre-defined electrical distribution characteristics of the landslide body, the pre-defined electrical distribution characteristics of the surrounding rock layer, and the electrical distribution characteristics of the underground space obtained from the resistivity depth profile, the size of the landslide body and the location of the sliding surface are determined.

[0160] As one possible implementation, the monitoring module 1304 can also be used for:

[0161] Based on actual surface potential data, relative displacement data between the landslide body and the sliding surface, and relative crack data between the landslide body and the sliding surface, the resistivity cross-sectional image, displacement variation curve, and crack variation curve of the sliding surface are determined.

[0162] Based on the resistivity cross-sectional image of the sliding surface, the displacement change curve, and the crack change curve, the trend information of underground resistivity, displacement data, and crack data is determined.

[0163] Based on the preset resistivity parameters, preset displacement parameters, preset crack parameters, information on the changing trends of underground resistivity, information on the changing trends of displacement data, and information on the changing trends of crack data, the resistivity comparison results, displacement comparison results, and crack comparison results are determined.

[0164] Based on the resistivity comparison results, displacement comparison results, and crack comparison results, the landslide monitoring results of the slope area were determined.

[0165] As one possible implementation, the monitoring module 1304 is specifically used for:

[0166] If the resistivity comparison result meets the first preset condition, the displacement comparison result meets the second preset condition, and the crack comparison result meets the third preset condition, then a landslide warning will be issued.

[0167] If the resistivity comparison result does not meet the first preset condition, but the displacement comparison result meets the second preset condition and the crack comparison result meets the third preset condition, then no landslide warning will be issued.

[0168] The above-described device is used to execute the method provided in the foregoing embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

[0169] These modules can be one or more integrated circuits configured to implement the above methods, such as one or more Application Specific Integrated Circuits (ASICs), one or more microprocessors, or one or more Field Programmable Gate Arrays (FPGAs). Alternatively, when a module is implemented using processing element scheduler code, the processing element can be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. Furthermore, these modules can be integrated together as a system-on-a-chip (SOC).

[0170] Figure 14 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. See also... Figure 14 The computer device includes: a memory 1401 and a processor 1402. The memory 1401 stores a computer program that can run on the processor 1402. When the processor 1402 executes the computer program, it implements the steps in any of the above method embodiments.

[0171] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the steps in the various method embodiments described above.

[0172] Optionally, this application also provides a program product, such as a computer-readable storage medium, including a program that, when executed by a processor, is used to perform any of the above-described embodiments of the three-dimensional dynamic monitoring method for landslide disaster occurrence.

[0173] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units 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 through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0174] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0175] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0176] The integrated units implemented as software functional units described above can be stored in a computer-readable storage medium. These software functional units, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute partial steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0177] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0178] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A three-dimensional dynamic monitoring method for landslide disasters, characterized in that, include: Acquire initial surface potential data collected by electrical resistivity devices deployed on the surface of the slope area, wherein the initial surface potential data includes: potential difference; Based on the initial surface potential data, the electrical distribution characteristics of the underground space in the slope area are determined; Based on the electrical distribution characteristics of the underground space, landslide areas within the slope area are determined, and these landslide areas are used to install displacement monitoring devices and crack monitoring devices. Landslide monitoring is conducted on the slope area based on the actual surface potential data collected by the electrical resistivity tomography device, the relative displacement data between the landslide body and the sliding surface collected by the displacement monitoring device, and the relative crack data between the landslide body and the sliding surface collected by the crack monitoring device. The landslide monitoring of the slope area based on the actual surface potential data collected by the electrical resistivity tomography device, the relative displacement data between the landslide body and the sliding surface collected by the displacement monitoring device, and the relative crack data between the landslide body and the sliding surface collected by the crack monitoring device includes: Based on the actual surface potential data, the relative displacement data between the landslide body and the sliding surface, and the relative crack data between the landslide body and the sliding surface, the resistivity cross-sectional image, displacement change curve, and crack change curve of the sliding surface are determined. Based on the resistivity cross-sectional image of the sliding surface, the displacement change curve, and the crack change curve, determine the change trend information of underground resistivity, the change trend information of relative displacement data, and the change trend information of relative crack data; Based on preset resistivity parameters, preset displacement parameters, preset crack parameters, the change trend information of underground resistivity, the change trend information of relative displacement data, and the change trend information of relative crack data, the resistivity comparison results, displacement comparison results, and crack comparison results are determined. Based on the resistivity comparison results, the displacement comparison results, and the crack comparison results, the landslide monitoring results for the slope area are determined. The determination of landslide monitoring results for the slope area based on the resistivity comparison results, the displacement comparison results, and the crack comparison results includes: If the resistivity comparison result meets the first preset condition, the displacement comparison result meets the second preset condition, and the crack comparison result meets the third preset condition, then a landslide warning is issued. If the resistivity comparison result does not meet the first preset condition, and the displacement comparison result meets the second preset condition and the crack comparison result meets the third preset condition, then no landslide warning will be issued.

2. The three-dimensional dynamic monitoring method for landslide disasters according to claim 1, characterized in that, The step of determining the electrical distribution characteristics of the underground space in the slope area based on the initial surface potential data includes: Based on the initial surface potential data, the underground resistivity is obtained through inversion, and a resistivity depth profile map along the slope direction of the slope area is drawn. Based on the resistivity depth profile, the electrical distribution characteristics of the underground space in the slope area are determined.

3. The three-dimensional dynamic monitoring method for landslide disasters according to claim 2, characterized in that, The step of obtaining underground resistivity through inversion based on the initial surface potential data and drawing a resistivity depth profile map of the slope area along the slope direction includes: The resistivity information of the underground space in the slope area was obtained by inverting the initial surface potential data using the least squares method. Based on the resistivity information of the underground space, the horizontal distance between points in the slope area, and the depth of each point obtained by inversion, the resistivity depth profile is drawn.

4. The three-dimensional dynamic monitoring method for landslide disasters according to claim 3, characterized in that, The step of determining the landslide area within the slope area based on the electrical distribution characteristics of the underground space includes: Based on the electrical distribution characteristics of the underground space, the size of the landslide body and the location of the sliding surface are determined; The landslide area is obtained based on the size of the landslide body and the location of the sliding surface.

5. The three-dimensional dynamic monitoring method for landslide disasters according to claim 4, characterized in that, Determining the size of the landslide body and the location of the sliding surface based on the electrical distribution characteristics of the underground space includes: Based on the electrical distribution characteristics of the landslide body, the electrical distribution characteristics of the surrounding rock layer, and the electrical distribution characteristics of the underground space obtained from the resistivity depth profile, the size of the landslide body and the location of the sliding surface are determined.

6. A three-dimensional dynamic monitoring device for landslide disasters, characterized in that, The device includes: The acquisition module is used to acquire the initial surface potential data collected by the electrical resistivity device deployed on the surface of the slope area. The initial surface potential data includes: potential difference. The first determining module is used to determine the electrical distribution characteristics of the underground space in the slope area by inverting resistivity data based on the initial surface potential data. The second determining module is used to determine the landslide area within the slope area based on the electrical distribution characteristics of the underground space. The landslide area is used to install displacement monitoring devices and crack monitoring devices. The monitoring module is used to monitor landslides in the slope area based on the actual surface potential data collected by the electrical resistivity device, the relative displacement data between the landslide body and the sliding surface collected by the displacement monitoring device, and the relative crack data between the landslide body and the sliding surface collected by the crack monitoring device. The monitoring module is further configured to: determine the resistivity cross-sectional image, displacement change curve, and crack change curve of the sliding surface based on the actual surface potential data, the relative displacement data between the landslide body and the sliding surface, and the relative crack data between the landslide body and the sliding surface; determine the changing trend information of underground resistivity, the changing trend information of relative displacement data, and the changing trend information of relative crack data based on the resistivity cross-sectional image, the displacement change curve, and the crack change curve of the sliding surface; determine the resistivity comparison result, the displacement comparison result, and the crack comparison result based on preset resistivity parameters, preset displacement parameters, preset crack parameters, the changing trend information of underground resistivity, the changing trend information of relative displacement data, and the changing trend information of relative crack data; and determine the landslide monitoring result of the slope area based on the resistivity comparison result, the displacement comparison result, and the crack comparison result. If the resistivity comparison result meets the first preset condition, the displacement comparison result meets the second preset condition, and the crack comparison result meets the third preset condition, then a landslide warning is issued; if the resistivity comparison result does not meet the first preset condition, the displacement comparison result meets the second preset condition, and the crack comparison result meets the third preset condition, then a landslide warning is not issued.

7. A computer device, characterized in that, include: A memory and a processor, wherein the memory stores a computer program that can run on the processor, and when the processor executes the computer program, it implements the steps of the method described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method according to any one of claims 1 to 5.

Images