A method, system, device and medium for monitoring slope displacement and settlement

Abstract

The application belongs to the field of slope monitoring, and discloses a slope displacement and settlement monitoring method, system, device and medium, the method comprising: acquiring first observation data of a plurality of monitoring points and second observation data of a target slope; determining a LOS deformation variable of the target slope based on the second observation data of the target slope by a SAR satellite, and extracting a LOS deformation variable of each monitoring point from the LOS deformation variable of the target slope; determining a deformation variable of each monitoring point according to each first observation data; constructing a LOS deformation correction model based on the deformation variable of each monitoring point and the LOS deformation variable of each monitoring point; correcting the LOS deformation variable of the target slope based on the LOS deformation correction model to obtain a corrected LOS deformation variable of the target slope; and inputting the corrected LOS deformation variable of the target slope and the deformation variable of each monitoring point into a fusion model to obtain the final deformation of the target slope. The application is beneficial to real-time observation of the deformation change of the slope.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of slope monitoring, and particularly relates to a slope displacement and settlement monitoring method, system, device and medium. BACKGROUND

[0002] Slope refers to the slope surface with a certain slope formed on both sides of the roadbed, which is an important part to ensure the stability of the roadbed. The slope can be divided into artificial slope and natural slope, as well as soil slope and rock slope.

[0003] Slope stability refers to the stability of the slope under certain slope height and slope angle. Unstable slope may slide or collapse under the action of external forces such as gravity, water pressure, vibration force, etc., causing serious damage. Therefore, the study of slope stability is of great significance for predicting and preventing geological disasters.

[0004] In the evaluation of slope stability, the monitoring of settlement and horizontal displacement is crucial. Early slope displacement monitoring mainly uses total station measurement, leveling and displacement sensor monitoring, etc. These methods have played an important role in early engineering, but also have some problems, such as being easily affected by weather, limited measurement accuracy, high labor cost and poor real-time data, etc.

[0005] Time series InSAR technology is a kind of technology in remote monitoring method, which has been continuously improved with the increase of synthetic aperture radar (SAR) satellites. Due to its characteristics of not being affected by clouds and fog, periodic monitoring and wide coverage, it is widely used in surface settlement, mountain landslide monitoring and other fields.

[0006] However, InSAR technology also has at least the following problems in actual monitoring process:

[0007] 1. InSAR can only obtain one-dimensional deformation information in the line of sight (LOS) direction, and cannot obtain complete two-dimensional or three-dimensional deformation field, which limits the accuracy and scope of application of the monitoring results;

[0008] 2. InSAR observation values are affected by uncertainty factors such as SAR satellite radar parameters, phase observations and terrain data, resulting in systematic errors and affecting the accuracy of the monitoring results;

[0009] 3. Changes in atmospheric conditions will affect the propagation of SAR satellite signals, and thus affect the accuracy of InSAR observation values.

[0010] In summary, the observation accuracy of existing InSAR technology in surface settlement monitoring needs to be improved. SUMMARY

[0011] The purpose of this invention is to provide a method, system, equipment, and medium for monitoring slope displacement and settlement, in order to solve the problem that the observation accuracy of existing InSAR technology in monitoring surface settlement still needs to be improved.

[0012] To achieve the above objectives, the present invention adopts the following technical solution:

[0013] In a first aspect, the present invention provides a method for monitoring slope displacement and settlement, the method comprising:

[0014] Acquire the first observation data of multiple monitoring points deployed on the target slope at the same sampling time, as well as the second observation data of the target slope by SAR satellite. Each monitoring point is equipped with a GNSS receiver.

[0015] Based on the second observation data of the target slope from SAR satellite, the LOS deformation of the target slope is determined, and the LOS deformation of each monitoring point is extracted from the LOS deformation of the target slope.

[0016] Based on the first observation data of each monitoring point, determine the deformation of each monitoring point;

[0017] Based on the deformation and LOS deformation of each monitoring point, an LOS deformation correction model is constructed.

[0018] The LOS deformation of the target slope is corrected based on the LOS deformation correction model to obtain the corrected LOS deformation of the target slope.

[0019] The corrected LOS deformation of the target slope and the deformation of each monitoring point are input into the fusion model to obtain the final deformation of the target slope.

[0020] Preferably, at least one sub-monitoring point is deployed around each monitoring point, and each sub-monitoring point has an inertial monitor for collecting inertial deformation at the sub-monitoring point.

[0021] Preferably, the method further includes:

[0022] For any monitoring point, obtain the deformation of that monitoring point at the previous sampling time;

[0023] Calculate the deformation change of the monitoring point based on the deformation of the monitoring point at the previous sampling time and the deformation of the monitoring point at the current sampling time;

[0024] Determine whether the deformation change at the monitoring point exceeds the preset change amount;

[0025] If so, extract the inertial monitors on the sub-monitoring points adjacent to the monitoring point to obtain at least one adjacent inertial monitor;

[0026] Acquire the inertial deformation data collected by at least one adjacent inertial monitor;

[0027] The deformation of the monitoring point at the current sampling time is corrected based on the inertial deformation collected by at least one adjacent inertial monitor, and the corrected deformation of the monitoring point at the current sampling time is used to construct the LOS deformation correction model.

[0028] Preferably, the deformation of the monitoring point at the current sampling time is corrected based on the inertial deformation collected by at least one adjacent inertial monitor, to obtain the corrected deformation of the monitoring point at the current sampling time, including:

[0029] Calculate the average inertial deformation of the adjacent monitoring point based on the number of at least one adjacent inertial monitor and the inertial deformation collected by at least one adjacent inertial monitor.

[0030] At the current sampling time, based on the deformation change at the monitoring point, determine the first calculation weight of the deformation at the monitoring point and the second calculation weight of the adjacent average inertial deformation.

[0031] The deformation of the monitoring point at the current sampling time is obtained by weighted summation based on the deformation of the monitoring point and the first calculated weight, as well as the deformation of the adjacent average inertial deformation and the second calculated weight.

[0032] Preferably, based on the deformation variables and LOS deformation variables of each monitoring point, a LOS deformation correction model is constructed, including:

[0033] Obtain the line of sight of SAR satellites at each monitoring point;

[0034] The deformation of each monitoring point is projected onto the line of sight of the corresponding SAR satellite to obtain the projected line-of-sight deformation of each monitoring point;

[0035] Calculate the LOS deformation value of each monitoring point based on the projected line deformation and the LOS deformation of each monitoring point;

[0036] Obtain the location coordinates of each monitoring point;

[0037] Based on the location coordinates of each monitoring point and the LOS deformation difference value of each monitoring point, an LOS deformation correction model is constructed.

[0038] Preferably, based on the location coordinates of each monitoring point and the LOS deformation difference value of each monitoring point, an LOS deformation correction model is constructed, including:

[0039] Using the location coordinates of each monitoring point as the independent variable and the LOS deformation difference of each monitoring point as the dependent variable, a pre-set fitting algorithm is used to perform polynomial fitting to obtain the location coordinate-LOS deformation difference equation, which is then used as the LOS deformation correction model.

[0040] Preferably, the LOS deformation of the target slope is corrected based on the LOS deformation correction model to obtain the corrected LOS deformation of the target slope, including:

[0041] Obtain the coordinate range of the target slope and the resolution of the SAR satellite;

[0042] Based on the resolution of the SAR satellite, several coordinate points within the range of the coordinate location are determined;

[0043] Substitute each coordinate point into the LOS deformation correction model to obtain the LOS correction amount for each coordinate point.

[0044] Based on the LOS correction amount of each coordinate point, the LOS deformation of each coordinate point is corrected to obtain the corrected LOS deformation of the target slope.

[0045] Secondly, the present invention provides a slope displacement and settlement monitoring system for implementing the above-mentioned slope displacement and settlement monitoring method, the system comprising:

[0046] The data acquisition module is used to acquire the first observation data of multiple monitoring points deployed on the target slope at the same sampling time, as well as the second observation data of the target slope by SAR satellite. Each monitoring point is equipped with a GNSS receiver.

[0047] The first calculation module is used to determine the LOS deformation of the target slope based on the second observation data of the target slope by SAR satellite, and to extract the LOS deformation of each monitoring point from the LOS deformation of the target slope.

[0048] The second calculation module is used to determine the deformation of each monitoring point based on the first observation data of each monitoring point;

[0049] The model building module is used to build an LOS deformation correction model based on the deformation variables and LOS deformation variables of each monitoring point.

[0050] The deformation correction module is used to correct the LOS deformation of the target slope based on the LOS deformation correction model, and obtain the corrected LOS deformation of the target slope.

[0051] The deformation fusion module is used to input the corrected LOS deformation of the target slope and the deformation of each monitoring point into the fusion model to obtain the final deformation of the target slope.

[0052] Thirdly, the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described slope displacement and settlement monitoring method.

[0053] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described slope displacement and settlement monitoring method.

[0054] Beneficial effects:

[0055] This invention deploys multiple monitoring points on a target slope, each equipped with a GNSS receiver to receive first observation data, which is the GNSS observation data. The deformation of each monitoring point can be determined based on this GNSS data. Simultaneously, SAR satellites are used to observe the target slope, obtaining second observation data. The LOS deformation of each monitoring point can be calculated from this second observation data. Then, an LOS deformation correction model is constructed using the deformation and LOS deformation of each monitoring point. This model is used to correct the LOS deformation of the entire target slope. Finally, the corrected LOS deformation of the target slope is fused with the deformation of each monitoring point. This process improves the accuracy of slope deformation (displacement and settlement) detection and facilitates real-time observation of slope deformation changes. Attached Figure Description

[0056] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:

[0057] Figure 1 This is a flowchart of a slope displacement and settlement monitoring method provided in one embodiment of the present invention;

[0058] Figure 2 This is a block diagram of a slope displacement and settlement monitoring system provided in one embodiment of the present invention. Detailed Implementation

[0059] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be briefly introduced below in conjunction with the accompanying drawings and descriptions of the embodiments or the prior art. Obviously, the following description of the structure of the accompanying drawings is only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. It should be noted that the description of these embodiments is for the purpose of helping to understand the present invention, but does not constitute a limitation of the present invention.

[0060] Example 1

[0061] Figure 1 This is a flowchart of a slope displacement and settlement monitoring method provided in one embodiment of the present invention. Figure 1 As shown in the figure, this embodiment provides a method for monitoring slope displacement and settlement, the method including:

[0062] Step S10: Acquire the first observation data of multiple monitoring points deployed on the target slope at the same sampling time and the second observation data of the target slope by the SAR satellite. Each monitoring point is equipped with a GNSS (Global Navigation Satellite System) receiver to receive GNSS observation data, and the GNSS observation data is used as the first observation data; wherein, the GNSS receiver can be a Beidou satellite receiver.

[0063] Step S20: Based on the second observation data of the target slope from the SAR satellite, determine the LOS deformation of the target slope, and extract the LOS deformation of each monitoring point from the LOS deformation of the target slope.

[0064] In this embodiment, the SAR satellite can observe the entire target slope, that is, the second observation data is the observation data of the entire target slope. Based on the second observation data, the LOS deformation of the entire target slope can be determined. Since InSAR can only acquire one-dimensional deformation information in the line-of-sight (LOS) direction of the monitoring point, it cannot acquire the complete two-dimensional or three-dimensional deformation field, which limits the accuracy and applicability of the monitoring results. At this time, the LOS deformation of the target slope has a certain error.

[0065] Step S30: Determine the deformation of each monitoring point based on the first observation data. In this embodiment, the deformation of each monitoring point can be directly calculated based on the GNSS observation data. The deformation of each monitoring point calculated based on the GNSS observation data has the advantages of multi-directional, high precision, and automated observation. However, due to limitations of monitoring equipment, the GNSS observation data is sparse, and some disaster points cannot be manually monitored. The second observation data can cover the entire target slope, but the LOS deformation of the target slope has a certain error. Therefore, using the deformation of each monitoring point calculated based on the GNSS observation data to correct the LOS deformation can improve the accuracy of deformation monitoring.

[0066] Step S40: Based on the deformation of each monitoring point and the LOS deformation of each monitoring point, construct the LOS deformation correction model.

[0067] In this embodiment, based on the deformation of each monitoring point and the LOS deformation of each monitoring point, a LOS deformation correction model is constructed, including:

[0068] Step S401: Obtain the line of sight of SAR satellites at each monitoring point;

[0069] Step S402: Project the deformation of each monitoring point onto the line of sight of the corresponding SAR satellite to obtain the projected line-of-sight deformation of each monitoring point; at each monitoring point, construct the line-of-sight coordinate system of the SAR satellite, and project the LOS deformation of each monitoring point onto the line-of-sight coordinate system of the SAR satellite to obtain the unit projected LOS deformation vector of the X-axis, the unit projected LOS deformation vector of the Y-axis, and the unit projected LOS deformation vector of the Z-axis; then project the deformation of each monitoring point onto the line-of-sight coordinate system of the SAR satellite to obtain the deformation along the X-axis, the Y-axis, and the Z-axis; multiply the deformation along the X-axis by the unit projected LOS deformation vector of the X-axis to obtain the deformation vector along the X-axis; multiply the deformation along the Y-axis by the unit projected LOS deformation vector of the Y-axis to obtain the deformation vector along the Y-axis; multiply the deformation along the Z-axis by the unit projected LOS deformation vector of the Z-axis to obtain the deformation vector along the Z-axis; finally, sum the deformation vectors along the X-axis, Y-axis, and Z-axis to obtain the projected line-of-sight deformation of each monitoring point.

[0070] Step S403: Calculate the LOS deformation difference value for each monitoring point based on the projected line deformation and the LOS deformation of each monitoring point; at each monitoring point, subtract the corresponding LOS deformation from the projected line deformation to obtain the LOS deformation difference value for that monitoring point; this LOS deformation difference value represents the deviation of the original LOS deformation.

[0071] Step S404: Obtain the location coordinates of each monitoring point. The location coordinates can be the latitude and longitude of the monitoring point.

[0072] Step S405: Based on the location coordinates of each monitoring point and the LOS deformation difference value of each monitoring point, construct the LOS deformation correction model.

[0073] Specifically, based on the location coordinates of each monitoring point and the LOS deformation difference value of each monitoring point, an LOS deformation correction model is constructed, including:

[0074] Using the location coordinates of each monitoring point as the independent variable and the LOS deformation difference of each monitoring point as the dependent variable, a pre-set fitting algorithm is used to perform polynomial fitting to obtain the location coordinate-LOS deformation difference equation, which is then used as the LOS deformation correction model.

[0075] In this embodiment, the location coordinates of each monitoring point are its latitude and longitude. That is, the latitude and longitude of each monitoring point are used as independent variables, and the LOS deformation difference of each monitoring point is used as the dependent variable. The least squares method is used to perform polynomial fitting to obtain the location coordinate-LOS deformation difference equation. Therefore, when any latitude and longitude of the target slope is used as the input of the LOS deformation correction model, the LOS deformation correction model outputs the corresponding deviation. This deviation is used to correct the LOS deformation at this location to improve the accuracy of the LOS deformation.

[0076] Step S50: Correct the LOS deformation of the target slope based on the LOS deformation correction model to obtain the corrected LOS deformation of the target slope.

[0077] Specifically, the LOS deformation of the target slope is corrected based on the LOS deformation correction model to obtain the corrected LOS deformation of the target slope, including:

[0078] Step S501: Obtain the coordinate range of the target slope and the resolution of the SAR satellite;

[0079] Step S502: Based on the resolution of the SAR satellite, determine several coordinate points within the range of the coordinate positions;

[0080] Step S503: Substitute each coordinate point into the LOS deformation correction model to obtain the LOS correction amount for each coordinate point;

[0081] Step S504: Correct the LOS deformation of each coordinate point based on the LOS correction amount of each coordinate point to obtain the corrected LOS deformation of the target slope.

[0082] In this embodiment, based on the resolution of the SAR satellite, all incident points of the SAR satellite within the coordinate position range can be determined. The coordinates of each incident point can be obtained, i.e., the latitude and longitude of each incident point can be obtained. Substituting the latitude and longitude of each incident point into the LOS deformation correction model, the LOS correction amount of each incident point can be calculated. The LOS correction amount of each incident point is added to the LOS deformation of the corresponding incident point to obtain the corrected LOS deformation of each incident point. All the corrected LOS deformations of the incident points constitute the corrected LOS deformation of the target slope.

[0083] Step S60: Input the corrected LOS deformation of the target slope and the deformation of each monitoring point into the fusion model to obtain the final deformation of the target slope.

[0084] In this embodiment, the fusion model is constructed using the Kalman filter algorithm. The fusion model is used to fuse the LOS deformation of the target slope after correction and the deformation of each monitoring point to obtain the three-dimensional deformation result of the slope. The three-dimensional deformation result of the slope is used as the final deformation of the target slope. The final deformation of the target slope can be decomposed in the horizontal and vertical directions to obtain the displacement in the horizontal direction and the settlement in the vertical direction of the slope.

[0085] In this embodiment, GNSS mainly uses static monitoring. When the deformation of the target slope is relatively slow, the accuracy of the deformation of each monitoring point determined by the first observation data is relatively high. When the deformation of the target slope is relatively fast, it is necessary to increase the frequency of GNSS monitoring. After the frequency of GNSS monitoring is increased, it is easily affected by the multipath effect, and its accuracy will be reduced. Therefore, GNSS monitoring has the defect of poor real-time performance.

[0086] To address the aforementioned issues, as a further optimization of this embodiment, at least one sub-monitoring point is deployed around each monitoring point, and each sub-monitoring point has an inertial monitor. The inertial monitor is used to collect the inertial deformation at the sub-monitoring point. The inertial monitor consists of an accelerometer and a gyroscope, and is used to monitor the acceleration and angular velocity signals during the deformation process. The inertial deformation can be obtained by integrating the acceleration and angular velocity signals.

[0087] As a further optimization of this embodiment, the method further includes:

[0088] Step a10: For any monitoring point, obtain the deformation of that monitoring point at the previous sampling time;

[0089] Step a20: Calculate the deformation change of the monitoring point based on the deformation of the monitoring point at the previous sampling time and the deformation of the monitoring point at the current sampling time;

[0090] Step a30: Determine whether the deformation change at the monitoring point exceeds the preset change amount;

[0091] Step a40: If yes, extract the inertial monitors on the sub-monitoring points adjacent to the monitoring point to obtain at least one adjacent inertial monitor; wherein, when the deformation change of the monitoring point exceeds the preset change amount, it indicates that the deformation of the monitoring point is accelerating and it is necessary to start the nearby inertial monitors for monitoring; when the deformation change of the monitoring point does not exceed the preset change amount, it indicates that the deformation rate of the monitoring point is relatively slow and there is no need for Beidou satellite to monitor in real time;

[0092] Step a50: Acquire the inertial deformation collected by at least one adjacent inertial monitor;

[0093] Step a60: Based on the inertial deformation collected by at least one adjacent inertial monitor, correct the deformation of the monitoring point at the current sampling time to obtain the corrected deformation of the monitoring point at the current sampling time, and use the corrected deformation of the monitoring point at the current sampling time to participate in the construction of the LOS deformation correction model.

[0094] In step a50, the deformation of the monitoring point at the current sampling time is corrected based on the inertial deformation collected by at least one adjacent inertial monitor, resulting in the corrected deformation of the monitoring point at the current sampling time, including:

[0095] Step a501: Calculate the average inertial deformation of the adjacent monitoring point based on the number of at least one adjacent inertial monitor and the inertial deformation collected by at least one adjacent inertial monitor;

[0096] Step a502: At the current sampling time, based on the deformation change of the monitoring point, determine the first calculated weight of the deformation of the monitoring point and the second calculated weight of the adjacent average inertial deformation; when the deformation change of the monitoring point is large, the first calculated weight is small and the second calculated weight is large; and the sum of the first calculated weight and the second calculated weight is 1.

[0097] Step a503: Based on the deformation of the monitoring point and the first calculated weight, as well as the adjacent average inertial deformation and the second calculated weight, perform a weighted summation to obtain the corrected deformation of the monitoring point at the current sampling time.

[0098] The present invention utilizes steps a501 to a505 to correct the deformation of the monitoring point at the current sampling time, thereby improving the real-time performance of deformation monitoring at the monitoring point and improving the accuracy of final deformation monitoring of the target slope.

[0099] This invention deploys multiple monitoring points on a target slope, each equipped with a GNSS receiver to receive first observation data, which is the GNSS observation data. The deformation of each monitoring point can be determined based on this GNSS data. Simultaneously, SAR satellites are used to observe the target slope, obtaining second observation data. The LOS deformation of each monitoring point can be calculated from this second observation data. Then, an LOS deformation correction model is constructed using the deformation and LOS deformation of each monitoring point. This model is used to correct the LOS deformation of the entire target slope. Finally, the corrected LOS deformation of the target slope is fused with the deformation of each monitoring point. This process improves the accuracy of slope deformation (displacement and settlement) detection and facilitates real-time observation of slope deformation changes.

[0100] Example 2

[0101] Figure 2 This is a block diagram of a slope displacement and settlement monitoring system provided in one embodiment of the present invention. Figure 2 As shown, this embodiment provides a slope displacement and settlement monitoring system to implement the slope displacement and settlement monitoring method in Embodiment 1. The system includes:

[0102] The data acquisition module is used to acquire the first observation data of multiple monitoring points deployed on the target slope at the same sampling time, as well as the second observation data of the target slope by SAR satellite. Each monitoring point is equipped with a GNSS receiver.

[0103] The first calculation module is used to determine the LOS deformation of the target slope based on the second observation data of the target slope by SAR satellite, and to extract the LOS deformation of each monitoring point from the LOS deformation of the target slope.

[0104] The second calculation module is used to determine the deformation of each monitoring point based on the first observation data of each monitoring point;

[0105] The model building module is used to build an LOS deformation correction model based on the deformation variables and LOS deformation variables of each monitoring point.

[0106] The deformation correction module is used to correct the LOS deformation of the target slope based on the LOS deformation correction model, and obtain the corrected LOS deformation of the target slope.

[0107] The deformation fusion module is used to input the corrected LOS deformation of the target slope and the deformation of each monitoring point into the fusion model to obtain the final deformation of the target slope.

[0108] This embodiment also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the slope displacement and settlement monitoring method in Embodiment 1.

[0109] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the slope displacement and settlement monitoring method in Embodiment 1.

[0110] This invention deploys multiple monitoring points on a target slope, each equipped with a GNSS receiver to receive first observation data, which is the GNSS observation data. The deformation of each monitoring point can be determined based on this GNSS data. Simultaneously, SAR satellites are used to observe the target slope, obtaining second observation data. The LOS deformation of each monitoring point can be calculated from this second observation data. Then, an LOS deformation correction model is constructed using the deformation and LOS deformation of each monitoring point. This model is used to correct the LOS deformation of the entire target slope. Finally, the corrected LOS deformation of the target slope is fused with the deformation of each monitoring point. This process improves the accuracy of slope deformation (displacement and settlement) detection and facilitates real-time observation of slope deformation changes.

[0111] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0112] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A system that specifies functions in one or more boxes.

[0113] The above are merely embodiments of this application and are not intended to limit the scope of 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 scope of the claims of this application.

Claims

1. A method for monitoring slope displacement and settlement, characterized in that, The method includes: Acquire the first observation data of multiple monitoring points deployed on the target slope at the same sampling time, as well as the second observation data of the target slope by SAR satellite. Each monitoring point is equipped with a GNSS receiver. Based on the second observation data of the target slope from SAR satellite, the LOS deformation of the target slope is determined, and the LOS deformation of each monitoring point is extracted from the LOS deformation of the target slope. Based on the first observation data of each monitoring point, determine the deformation of each monitoring point; Based on the deformation and LOS deformation of each monitoring point, an LOS deformation correction model is constructed. The LOS deformation of the target slope is corrected based on the LOS deformation correction model to obtain the corrected LOS deformation of the target slope. The corrected LOS deformation of the target slope and the deformation of each monitoring point are input into the fusion model to obtain the final deformation of the target slope; Based on the deformation and LOS deformation of each monitoring point, an LOS deformation correction model is constructed, including: Obtain the line of sight of SAR satellites at each monitoring point; The deformation of each monitoring point is projected onto the line of sight of the corresponding SAR satellite to obtain the projected line-of-sight deformation of each monitoring point; Calculate the LOS deformation value of each monitoring point based on the projected line deformation and the LOS deformation of each monitoring point; Obtain the location coordinates of each monitoring point; Based on the location coordinates of each monitoring point and the LOS deformation difference value of each monitoring point, an LOS deformation correction model is constructed. Based on the location coordinates of each monitoring point and the LOS deformation difference value of each monitoring point, an LOS deformation correction model is constructed, including: Using the location coordinates of each monitoring point as the independent variable and the LOS deformation difference of each monitoring point as the dependent variable, a pre-set fitting algorithm is used to perform polynomial fitting to obtain the location coordinate-LOS deformation difference equation, which is then used as the LOS deformation correction model. The LOS deformation of the target slope is corrected based on the LOS deformation correction model, resulting in the corrected LOS deformation of the target slope, including: Obtain the coordinate range of the target slope and the resolution of the SAR satellite; Based on the resolution of the SAR satellite, several coordinate points within the range of the coordinate location are determined; Substitute each coordinate point into the LOS deformation correction model to obtain the LOS correction amount for each coordinate point. Based on the LOS correction amount of each coordinate point, the LOS deformation of each coordinate point is corrected to obtain the corrected LOS deformation of the target slope.

2. The slope displacement and settlement monitoring method according to claim 1, characterized in that, At least one sub-monitoring point is deployed around each monitoring point, and each sub-monitoring point has an inertial monitor for collecting inertial deformation at the sub-monitoring point.

3. The slope displacement and settlement monitoring method according to claim 2, characterized in that, The method further includes: For any monitoring point, obtain the deformation of that monitoring point at the previous sampling time; Calculate the deformation change of the monitoring point based on the deformation of the monitoring point at the previous sampling time and the deformation of the monitoring point at the current sampling time; Determine whether the deformation change at the monitoring point exceeds the preset change amount; If so, extract the inertial monitors on the sub-monitoring points adjacent to the monitoring point to obtain at least one adjacent inertial monitor; Acquire the inertial deformation data collected by at least one adjacent inertial monitor; The deformation of the monitoring point at the current sampling time is corrected based on the inertial deformation collected by at least one adjacent inertial monitor, and the corrected deformation of the monitoring point at the current sampling time is used to construct the LOS deformation correction model.

4. The slope displacement and settlement monitoring method according to claim 3, characterized in that, The deformation of the monitoring point at the current sampling time is corrected based on the inertial deformation collected by at least one adjacent inertial monitor, resulting in the corrected deformation of the monitoring point at the current sampling time, including: Calculate the average inertial deformation of the adjacent monitoring point based on the number of at least one adjacent inertial monitor and the inertial deformation collected by at least one adjacent inertial monitor. At the current sampling time, based on the deformation change at the monitoring point, determine the first calculation weight of the deformation at the monitoring point and the second calculation weight of the adjacent average inertial deformation. The deformation of the monitoring point at the current sampling time is obtained by weighted summation based on the deformation of the monitoring point and the first calculated weight, as well as the deformation of the adjacent average inertial deformation and the second calculated weight.

5. A slope displacement and settlement monitoring system, used to implement the slope displacement and settlement monitoring method according to any one of claims 1-4, characterized in that, The system includes: The data acquisition module is used to acquire the first observation data of multiple monitoring points deployed on the target slope at the same sampling time, as well as the second observation data of the target slope by SAR satellite; The first calculation module is used to determine the LOS deformation of the target slope based on the second observation data of the target slope by SAR satellite, and extract the LOS deformation of each monitoring point from the LOS deformation of the target slope. A GNSS receiver is deployed at each monitoring point. The second calculation module is used to determine the deformation of each monitoring point based on the first observation data of each monitoring point; The model building module is used to build an LOS deformation correction model based on the deformation variables and LOS deformation variables of each monitoring point. The deformation correction module is used to correct the LOS deformation of the target slope based on the LOS deformation correction model, and obtain the corrected LOS deformation of the target slope. The deformation fusion module is used to input the corrected LOS deformation of the target slope and the deformation of each monitoring point into the fusion model to obtain the final deformation of the target slope.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the slope displacement and settlement monitoring method according to any one of claims 1-4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the slope displacement and settlement monitoring method as described in any one of claims 1-4.

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