Slope deformation monitoring method and system

Abstract

The application discloses a slope deformation monitoring method and system, and applies to the technical field of intelligent monitoring.The method comprises the following steps: arranging a plurality of equidistant transverse optical fibers and a plurality of equidistant longitudinal optical fibers on a target slope; performing a slight disturbance at a fixed point on the target slope, and acquiring vibration data of a characteristic point through the transverse optical fibers and the longitudinal optical fibers; the characteristic point is an intersection of the transverse optical fibers and the longitudinal optical fibers; identifying a region of a landslide body of the target slope according to vibration data of adjacent characteristic points, and monitoring the landslide body through the transverse optical fibers and the longitudinal optical fibers.The application can effectively monitor the region where the landslide body is located for key monitoring, thereby greatly reducing invalid monitoring, improving the efficiency of slope monitoring, and further better performing early warning for slope instability, and reducing losses when disasters occur.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent monitoring, in particular to a slope deformation monitoring method and system. BACKGROUND

[0002] Slope monitoring is a necessary means to protect life and property and engineering safety, meet regulations and support intelligent operation and maintenance, but in reality, it still faces such outstanding problems as point blind area, data drift, environmental interference, high cost, standard deficiency and the like, especially the estimation of possible landslide body is difficult, which can only be detected by a large number of surveys to detect the landslide surface and combined with the on-site state to estimate the landslide body, with low precision and extremely long cycle.

[0003] In the prior art, a kind of slope detection device and method based on distributed optical fiber sensing is disclosed in Chinese patent with application number 202210794631.X, which includes: optical fiber measurement unit arranged in the interior of slope, the acceleration time sequence of multiple state parameters of slope is measured;Demodulator, demodulator is connected with optical fiber measurement unit, receives the acceleration time sequence measured by slope;Terminal equipment, terminal equipment is connected with demodulation, carries out multi-domain coupling analysis to acceleration time sequence, generates the characteristic cloud picture of slope, and according to the characteristic cloud picture and the multi-domain characteristic parameter index of preset, carries out the subentry detection of slope stable state, obtains the subentry detection result of slope state, then generates the detection result of dynamic characteristics and deformation characteristics of slope.It can realize the monitoring of slope, but lacks the ability to locate the landslide body, and it is difficult to determine the key monitoring area. SUMMARY

[0004] In order to at least overcome the above-mentioned deficiencies in the prior art, the purpose of the present application is to provide a slope deformation monitoring method and system.

[0005] In a first aspect, the embodiments of the present application provide a slope deformation monitoring method, comprising:

[0006] Laying a plurality of equally spaced transverse optical fibers and a plurality of equally spaced longitudinal optical fibers on the target slope;

[0007] Performing a slight disturbance at the fixed point on the target slope, and obtaining vibration data of feature points through the transverse optical fibers and the longitudinal optical fibers;The feature points are the intersection points of the transverse optical fibers and the longitudinal optical fibers;

[0008] According to the vibration data of adjacent feature points, the area of the landslide body of the target slope is identified, and the landslide body is monitored through the transverse optical fibers and the longitudinal optical fibers.

[0009] In a possible implementation, according to the vibration data of adjacent feature points, the area of the landslide body of the target slope is identified, which includes:

[0010] Align all the feature points along the time axis based on the vibration data generated by the micro-perturbation to form corrected vibration data;

[0011] The landslide body is identified by comparing the similarity of the corrected vibration data of adjacent feature points.

[0012] In one possible implementation, generating corrected vibration data includes:

[0013] The time corresponding to the first peak of the vibration data of all the aforementioned feature points is obtained as the first peak time, and the first peak times of the vibration data of all the aforementioned feature points are located at the same time to form the corrected vibration data.

[0014] In one possible implementation, identifying the landslide body includes:

[0015] The central feature point of all the aforementioned feature points is taken as the reference feature point;

[0016] Calculate the similarity of the corrected vibration data of the reference feature point and its adjacent feature points, and determine that the adjacent feature point is a landslide feature point when the similarity is greater than a preset value; the adjacent feature point is a feature point that is located on the same horizontal or vertical optical fiber as the feature point and is adjacent in position.

[0017] Repeatedly calculate the similarity of the modified vibration data of the adjacent feature points and the corresponding landslide feature points of all the landslide feature points, and determine the adjacent feature points as new landslide feature points when the similarity is greater than a preset value;

[0018] The landslide is identified based on the location of all the landslide feature points.

[0019] In one possible implementation, identifying the landslide body based on the locations of all the landslide body feature points includes:

[0020] Landslide feature points that are not landslide feature points among the adjacent feature points are considered as edge feature points;

[0021] The landslide body region is formed by fitting closed curves to all the aforementioned edge feature points.

[0022] Secondly, this application also provides a slope deformation monitoring system, including:

[0023] The deployment unit is configured to deploy multiple equally spaced transverse optical fibers and multiple equally spaced longitudinal optical fibers on the target slope;

[0024] The detection unit is configured to perform micro-disturbance at fixed points on the target slope and acquire vibration data at feature points via the transverse optical fiber and the longitudinal optical fiber; the feature points are the intersections of the transverse and longitudinal optical fibers.

[0025] The identification unit is configured to identify the landslide area of ​​the target slope based on vibration data of adjacent feature points, and to monitor the landslide through the transverse optical fiber and the longitudinal optical fiber.

[0026] In one possible implementation, the identification unit is further configured as follows:

[0027] Align all the feature points along the time axis based on the vibration data generated by the micro-perturbation to form corrected vibration data;

[0028] The landslide body is identified by comparing the similarity of the corrected vibration data of adjacent feature points.

[0029] In one possible implementation, the identification unit is further configured as follows:

[0030] The time corresponding to the first peak of the vibration data of all the aforementioned feature points is obtained as the first peak time, and the first peak times of the vibration data of all the aforementioned feature points are located at the same time to form the corrected vibration data.

[0031] In one possible implementation, the identification unit is further configured as follows:

[0032] The central feature point of all the aforementioned feature points is taken as the reference feature point;

[0033] Calculate the similarity of the corrected vibration data of the reference feature point and its adjacent feature points, and determine that the adjacent feature point is a landslide feature point when the similarity is greater than a preset value; the adjacent feature point is a feature point that is located on the same horizontal or vertical optical fiber as the feature point and is adjacent in position.

[0034] Repeatedly calculate the similarity of the modified vibration data of the adjacent feature points and the corresponding landslide feature points of all the landslide feature points, and determine the adjacent feature points as new landslide feature points when the similarity is greater than a preset value;

[0035] The landslide is identified based on the location of all the landslide feature points.

[0036] In one possible implementation, the identification unit is further configured as follows:

[0037] Landslide feature points that are not landslide feature points among the adjacent feature points are considered as edge feature points;

[0038] The landslide body region is formed by fitting closed curves to all the aforementioned edge feature points.

[0039] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0040] The slope deformation monitoring method and system of this invention can effectively monitor the area where the landslide body is located for focused monitoring, thereby greatly reducing ineffective monitoring, improving the efficiency of slope monitoring, and thus enabling better early warning of slope instability and reducing losses when disasters occur. Attached Figure Description

[0041] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and form part of this application, do not constitute a limitation thereof. In the drawings:

[0042] Figure 1 This is a schematic diagram of the method steps in an embodiment of this application;

[0043] Figure 2 This is a schematic diagram of an embodiment of this application. Detailed Implementation

[0044] 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. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0045] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. 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.

[0046] Please refer to the following: Figure 1The above is a schematic flowchart of the slope deformation monitoring method provided in the embodiment of the present invention. Further, the slope deformation monitoring method may specifically include the contents described in steps S1-S3.

[0047] S1: Lay out multiple equally spaced transverse optical fibers and multiple equally spaced longitudinal optical fibers on the target slope;

[0048] S2: Perform micro-disturbance at a fixed point on the target slope, and acquire vibration data at the feature point through the transverse optical fiber and the longitudinal optical fiber; the feature point is the intersection of the transverse optical fiber and the longitudinal optical fiber.

[0049] S3: Identify the landslide area of ​​the target slope based on the vibration data of adjacent feature points, and monitor the landslide through the transverse optical fiber and the longitudinal optical fiber.

[0050] In implementing this embodiment, it is necessary to lay horizontal and vertical optical fibers on the target slope. The horizontal optical fibers are generally laid along contour lines, while the vertical optical fibers can extend from the top of the slope to the bottom. When the top of the slope is too high, a fixed length of vertical optical fiber is selected for laying. The vertical and horizontal optical fibers will form an intersection point, which can be used as a feature point. The vibration data of the feature point can be monitored synchronously through the vertical and horizontal optical fibers. Generally, the difference between the two is very small, and a more accurate vibration data can be obtained by calculating the average of the two.

[0051] In this embodiment, the edge of a landslide is the most fragmented area, exhibiting significant cracks or well-developed joints. Therefore, when a micro-disturbance occurs, the energy wave propagating to the edge undergoes refraction and reflection. Consequently, when the wave reaches a feature point on the outer side of the edge, the feature points on both sides of the edge will show a noticeable difference in vibration. This embodiment monitors the landslide based on this principle. Micro-disturbance needs to be performed at fixed points on the target slope, typically at the center of the target slope, to ensure the disturbance point is within the landslide area. Micro-disturbance can be generated using micro-explosive blasting or an electric hammer. The generated micro-disturbance spreads from the disturbance point outwards in the form of waves. When the micro-disturbance wave reaches a feature point, the vibration is detected by optical fiber and transmitted to a terminal device for aggregation. By comparing the vibration data of adjacent feature points, feature points on the outer side of the landslide edge can be identified, thus identifying the landslide area of ​​the target slope. The identified landslide area can be monitored more precisely using both horizontal and vertical optical fibers. It should be understood that vibration monitoring via distributed optical fiber is a mature existing technology, which requires monitoring the phase changes and other conditions caused by the changes in the optical fiber during vibration. This application does not impose any limitations on the embodiments.

[0052] In one possible implementation, identifying the landslide area of ​​the target slope based on vibration data from adjacent feature points includes:

[0053] Align all the feature points along the time axis based on the vibration data generated by the micro-perturbation to form corrected vibration data;

[0054] The landslide body is identified by comparing the similarity of the corrected vibration data of adjacent feature points.

[0055] In one possible implementation, generating corrected vibration data includes:

[0056] The time corresponding to the first peak of the vibration data of all the aforementioned feature points is obtained as the first peak time, and the first peak times of the vibration data of all the aforementioned feature points are located at the same time to form the corrected vibration data.

[0057] In the implementation of this application embodiment, since the distance from the disturbance point to different feature points is different, the vibration data of each feature point in response to micro-disturbance will also differ on the time axis. At this time, it is necessary to align the vibration data before proceeding to the next comparison operation. Specifically, this application embodiment adopts the first wave peak comparison method, that is, aligning the first wave peaks of the vibration data of all feature points on the time axis to complete the correction. Since the peak of the first wave of vibration is much larger than the peaks of other vibrations, it is relatively easy to identify.

[0058] In one possible implementation, identifying the landslide body includes:

[0059] The central feature point of all the aforementioned feature points is taken as the reference feature point;

[0060] Calculate the similarity of the corrected vibration data of the reference feature point and its adjacent feature points, and determine that the adjacent feature point is a landslide feature point when the similarity is greater than a preset value; the adjacent feature point is a feature point that is located on the same horizontal or vertical optical fiber as the feature point and is adjacent in position.

[0061] Repeatedly calculate the similarity of the modified vibration data of the adjacent feature points and the corresponding landslide feature points of all the landslide feature points, and determine the adjacent feature points as new landslide feature points when the similarity is greater than a preset value;

[0062] The landslide is identified based on the location of all the landslide feature points.

[0063] In implementing this application embodiment, it is necessary to first select the feature point at the center as the reference feature point, and then obtain its adjacent feature points based on the reference feature point. Since the feature points used in this application are distributed on both the horizontal and vertical optical fibers, each feature point has four adjacent feature points, except for the feature points on the boundary. For the reference feature point, it is necessary to compare the similarity of its corrected vibration data with that of its adjacent feature points. Existing technologies for comparing the similarity of two curves are quite abundant. In this application embodiment, it is preferable to first discretize both vibration curves at equal intervals, then calculate the Euclidean distance between the points at the same time, and finally sum them all to form the similarity. It should be understood that the wave generated by the micro-disturbance will attenuate as it propagates, so there will definitely be some difference in the corrected vibration data of two adjacent feature points. Therefore, in this application embodiment, it is also necessary to calibrate a preset value for the identification of landslide feature points. The calibration process is generally obtained through experiments or field tests, and this application embodiment does not impose any limitations.

[0064] For locations already identified as landslide feature points, the aforementioned method is used to further select landslide feature points. Since at least one landslide feature point has already been identified, further identification does not require re-identifying the previously identified feature point. More landslide feature points can be identified until all of them are identified. Based on the identified landslide feature points, the corresponding landslide area can be mapped. This allows for the estimation of the approximate volume of the landslide, determination of its potential consequences, and focused monitoring of these areas.

[0065] In one possible implementation, identifying the landslide body based on the locations of all the landslide body feature points includes:

[0066] Landslide feature points that are not landslide feature points among the adjacent feature points are considered as edge feature points;

[0067] The landslide body region is formed by fitting closed curves to all the aforementioned edge feature points.

[0068] In the implementation of this application embodiment, when calculating the corresponding landslide area, landslide feature points adjacent to non-landslide feature points are used as edge feature points. This effectively identifies the landslide location because the edge of a landslide always exists between landslide feature points and non-landslide feature points. These feature points can be identified through curve fitting. Fitting closed curves to these edge feature points can effectively identify the landslide area. It should be understood that the calculations in this application embodiment may contain some errors. The errors arise because the edge feature points are not actually the actual edge locations, but rather the locations closest to the edge. Therefore, the errors can be reduced by increasing the fiber optic density.

[0069] For an example, please refer to Figure 2 This diagram shows a plan view of fiber optic cable deployment on a highway slope in a certain location. The slope is 42m high with a slope ratio of 1:1.25, and the strata are mainly gravelly silty clay mixed with gravel. First, remote sensing technology was used to acquire images of the slope, and an area 42m high and 80m wide was selected as the area for fiber optic cable deployment. Eleven horizontal fibers were deployed, spaced 4m apart, buried in the surface of the slope, with both ends anchored to the slope. Nine vertical fibers were deployed, spaced 10m apart, buried in the surface of the slope, with one end anchored to the anti-slip structure at the top of the slope and the other end anchored to the retaining wall at the bottom of the slope. The horizontal and vertical fibers were secured at key points using cross-shaped clips. A detailed deployment plan view is provided below. Figure 2 As shown, the black dots represent feature points. During monitoring, an 8kg electric hammer was used to continuously strike the exposed rock near the center point of the slope for 5 seconds at a frequency of 20Hz as the aforementioned micro-disturbance. The phase changes of all fiber Rayleigh scattering were acquired in real time using DAS, and the time-amplitude curves at all feature points were extracted, then aligned before identification. Comparison of the identification results revealed multiple edge feature points, as shown below. Figure 2 By fitting the X points in the graph with least squares B-splines, the final landslide area can be formed.

[0070] Based on the same inventive concept, this application also provides a slope deformation monitoring system, including:

[0071] The deployment unit is configured to deploy multiple equally spaced transverse optical fibers and multiple equally spaced longitudinal optical fibers on the target slope;

[0072] The detection unit is configured to perform micro-disturbance at fixed points on the target slope and acquire vibration data at feature points via the transverse optical fiber and the longitudinal optical fiber; the feature points are the intersections of the transverse and longitudinal optical fibers.

[0073] The identification unit is configured to identify the landslide area of ​​the target slope based on vibration data of adjacent feature points, and to monitor the landslide through the transverse optical fiber and the longitudinal optical fiber.

[0074] In one possible implementation, the identification unit is further configured as follows:

[0075] Align all the feature points along the time axis based on the vibration data generated by the micro-perturbation to form corrected vibration data;

[0076] The landslide body is identified by comparing the similarity of the corrected vibration data of adjacent feature points.

[0077] In one possible implementation, the identification unit is further configured as follows:

[0078] The time corresponding to the first peak of the vibration data of all the aforementioned feature points is obtained as the first peak time, and the first peak times of the vibration data of all the aforementioned feature points are located at the same time to form the corrected vibration data.

[0079] In one possible implementation, the identification unit is further configured as follows:

[0080] The central feature point of all the aforementioned feature points is taken as the reference feature point;

[0081] Calculate the similarity of the corrected vibration data of the reference feature point and its adjacent feature points, and determine that the adjacent feature point is a landslide feature point when the similarity is greater than a preset value; the adjacent feature point is a feature point that is located on the same horizontal or vertical optical fiber as the feature point and is adjacent in position.

[0082] Repeatedly calculate the similarity of the modified vibration data of the adjacent feature points and the corresponding landslide feature points of all the landslide feature points, and determine the adjacent feature points as new landslide feature points when the similarity is greater than a preset value;

[0083] The landslide is identified based on the location of all the landslide feature points.

[0084] In one possible implementation, the identification unit is further configured as follows:

[0085] Landslide feature points that are not landslide feature points among the adjacent feature points are considered as edge feature points;

[0086] The landslide body region is formed by fitting closed curves to all the aforementioned edge feature points.

[0087] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0088] In the several embodiments provided in this application, 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. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, or may be electrical, mechanical or other forms of connection.

[0089] The units described as separate components may or may not be physically separate. As will be apparent to those skilled in the art, the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0090] 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 as a software functional unit.

[0091] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or grid device, etc.) to execute all or part of the steps of the methods described in 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.

[0092] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for monitoring slope deformation, characterized in that, include: Multiple equally spaced transverse optical fibers and multiple equally spaced longitudinal optical fibers are laid on the target slope; Micro-disturbance is performed at fixed points on the target slope, and vibration data at feature points are acquired through the transverse and longitudinal optical fibers; the feature points are the intersections of the transverse and longitudinal optical fibers. The landslide area of ​​the target slope is identified based on the vibration data of adjacent feature points, and the landslide is monitored through the transverse optical fiber and the longitudinal optical fiber. The landslide area of ​​the target slope identified based on the vibration data of adjacent feature points includes: Align all the feature points along the time axis based on the vibration data generated by the micro-perturbation to form corrected vibration data; The landslide body is identified by comparing the similarity of the corrected vibration data of adjacent feature points; The landslide body was identified as including: The central feature point of all the aforementioned feature points is taken as the reference feature point; Calculate the similarity of the corrected vibration data of the reference feature point and its adjacent feature points, and determine that the adjacent feature point is a landslide feature point when the similarity is greater than a preset value; the adjacent feature point is a feature point that is located on the same horizontal or vertical optical fiber as the corresponding feature point and is adjacent in position. Repeatedly calculate the similarity between the adjacent feature points and the corresponding corrected vibration data of all the landslide feature points, and determine the adjacent feature points as new landslide feature points when the similarity is greater than a preset value; The landslide is identified based on the location of all the landslide feature points.

2. The slope deformation monitoring method according to claim 1, characterized in that, The corrected vibration data includes: The time corresponding to the first peak of the vibration data of all the aforementioned feature points is obtained as the first peak time, and the first peak times of the vibration data of all the aforementioned feature points are located at the same time to form the corrected vibration data.

3. The slope deformation monitoring method according to claim 1, characterized in that, The landslide body is identified based on the location of all the landslide body feature points, including: Landslide feature points that are not landslide feature points among the adjacent feature points are considered as edge feature points; The landslide body region is formed by fitting closed curves to all the aforementioned edge feature points.

4. A slope deformation monitoring system, characterized in that, include: The deployment unit is configured to deploy multiple equally spaced transverse optical fibers and multiple equally spaced longitudinal optical fibers on the target slope; The detection unit is configured to perform micro-disturbance at fixed points on the target slope and acquire vibration data at feature points via the transverse optical fiber and the longitudinal optical fiber; the feature points are the intersections of the transverse and longitudinal optical fibers. The identification unit is configured to identify the landslide area of ​​the target slope based on the vibration data of adjacent feature points, and to monitor the landslide through the transverse optical fiber and the longitudinal optical fiber. Identifying the landslide area of ​​the target slope based on the vibration data of adjacent feature points includes: aligning the vibration data of all feature points based on the micro-disturbance along the time axis to form corrected vibration data; The landslide body is identified by comparing the similarity of the corrected vibration data of adjacent feature points; The landslide body was identified as including: The central feature point of all the aforementioned feature points is taken as the reference feature point; Calculate the similarity of the corrected vibration data of the reference feature point and its adjacent feature points, and determine that the adjacent feature point is a landslide feature point when the similarity is greater than a preset value; the adjacent feature point is a feature point that is located on the same horizontal or vertical optical fiber as the corresponding feature point and is adjacent in position. Repeatedly calculate the similarity between the adjacent feature points and the corresponding corrected vibration data of all the landslide feature points, and determine the adjacent feature points as new landslide feature points when the similarity is greater than a preset value; The landslide is identified based on the location of all the landslide feature points.

5. The slope deformation monitoring system according to claim 4, characterized in that, The corrected vibration data includes: The time corresponding to the first peak of the vibration data of all the aforementioned feature points is obtained as the first peak time, and the first peak times of the vibration data of all the aforementioned feature points are located at the same time to form the corrected vibration data.

6. The slope deformation monitoring system according to claim 4, characterized in that, The landslide body is identified based on the location of all the landslide body feature points, including: Landslide feature points that are not landslide feature points among the adjacent feature points are considered as edge feature points; The landslide body region is formed by fitting closed curves to all the aforementioned edge feature points.

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