Slope displacement and settlement monitoring method, system, equipment and medium

Abstract

The invention belongs to the field of slope monitoring, and discloses a slope displacement and settlement monitoring method, system and device and a medium, and the method comprises the steps: obtaining first observation data of a plurality of monitoring points and second observation data of a target slope; based on second observation data of the SAR satellite on the target slope, LOS deformation quantity of the target slope is determined, and LOS deformation quantity of each monitoring point is extracted from the LOS deformation quantity of the target slope; determining the deformation quantity of each monitoring point according to each first observation data; based on the deformation quantity of each monitoring point and the LOS deformation quantity of each monitoring point, constructing an LOS deformation correction model; correcting the LOS deformation quantity of the target slope based on an LOS deformation correction model to obtain the corrected LOS deformation quantity of the target slope; and inputting the corrected LOS deformation quantity of the target slope and the deformation quantity of each monitoring point into the fusion model to obtain the final deformation of the target slope. According to the invention, real-time observation of slope deformation change is facilitated.

Description

Technical Field

[0001] The invention belongs to the field of slope monitoring, and in particular relates to a slope displacement and settlement monitoring method, system, equipment and medium. Background Art

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

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

[0004] In slope stability assessment, monitoring of settlement and horizontal displacement is a crucial part. Early slope displacement monitoring mainly used total station measurement, leveling measurement and displacement sensor monitoring. These methods played an important role in early projects, but there are also some problems, such as being easily affected by weather, limited measurement accuracy, high labor costs and poor data real-time performance.

[0005] Time-series InSAR technology is a type of remote monitoring technology. Its development has been continuously improving 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 the fields of surface subsidence and landslide monitoring in mountainous areas.

[0006] However, there are at least the following problems in the actual monitoring process of InSAR technology: 1. InSAR can only obtain one-dimensional deformation information in the line of sight (LOS) direction of the monitoring point, and cannot obtain the complete two-dimensional or three-dimensional deformation field, which limits the accuracy and scope of application of the monitoring results; 2. InSAR observations are affected by uncertainties such as SAR satellite radar parameters, phase observations, and terrain data, which lead to systematic errors and thus affect the accuracy of monitoring results. 3. Changes in atmospheric conditions will affect the propagation of SAR satellite signals, thereby affecting the accuracy of InSAR observations.

[0007] In summary, the observation accuracy of the existing InSAR technology in surface subsidence monitoring needs to be improved. Summary of the invention

[0008] The purpose of the present invention is to provide a slope displacement and settlement monitoring method, system, equipment and medium to solve the problem that the observation accuracy of the existing InSAR technology in surface settlement monitoring needs to be improved.

[0009] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a method for monitoring slope displacement and settlement, the method comprising: Acquire first observation data of multiple monitoring points deployed on the target slope at the same sampling time and second observation data of the target slope by the SAR satellite, wherein a GNSS receiver is deployed at each monitoring point; Based on the second observation data of the target slope by the SAR satellite, the LOS deformation variable of the target slope is determined, and the LOS deformation variable of each monitoring point is extracted from the LOS deformation variable of the target slope; Determine the deformation amount of each monitoring point according to the first observation data of each monitoring point; Based on the deformation variables of each monitoring point and the LOS deformation variables of each monitoring point, a LOS deformation correction model is constructed; The LOS deformation variable of the target slope is corrected based on the LOS deformation correction model to obtain the corrected LOS deformation variable 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.

[0010] Preferably, at least one sub-monitoring point is deployed around each monitoring point, and each sub-monitoring point is provided with an inertial monitor, and the inertial monitor is used to collect the inertial deformation amount at the sub-monitoring point.

[0011] Preferably, the method further comprises: For any monitoring point, obtain the deformation of the monitoring point at the last sampling moment; Calculate the deformation change of the monitoring point according to the deformation amount of the monitoring point at the previous sampling time and the deformation amount of the monitoring point at the current sampling time; Determine whether the deformation change of the monitoring point exceeds a preset change; If not, extract the inertial monitors on the sub-monitoring points adjacent to the monitoring point to obtain at least one adjacent inertial monitor; Acquiring an inertial deformation amount collected by at least one adjacent inertial monitor; Based on the inertial deformation amount collected by at least one adjacent inertial monitor, the deformation amount of the monitoring point at the current sampling moment is corrected to obtain the corrected deformation amount of the monitoring point at the current sampling moment, and the corrected deformation amount of the monitoring point at the current sampling moment is used to participate in the construction of the LOS deformation correction model.

[0012] Preferably, the deformation amount of the monitoring point at the current sampling moment is corrected based on the inertial deformation amount collected by at least one adjacent inertial monitor to obtain the corrected deformation amount of the monitoring point at the current sampling moment, including: Calculate an average inertial deformation amount adjacent to the monitoring point according to the number of at least one adjacent inertial monitor and the inertial deformation amount collected by at least one adjacent inertial monitor; At the current sampling moment, according to the deformation change amount of the monitoring point, a first calculation weight of the deformation amount of the monitoring point and a second calculation weight of the adjacent average inertial deformation amount are determined; A weighted sum is performed based on the deformation amount of the monitoring point and the first calculation weight as well as the adjacent average inertial deformation amount and the second calculation weight to obtain a modified deformation amount of the monitoring point at the current sampling moment.

[0013] Preferably, based on the deformation amount of each monitoring point and the LOS deformation amount of each monitoring point, a LOS deformation correction model is constructed, including: Obtain the line of sight of the SAR satellite at each monitoring point; Project the deformation variable of each monitoring point onto the line of sight of the corresponding SAR satellite to obtain the projected line of sight deformation variable of each monitoring point; According to the projection sight line deformation variable of each monitoring point and the LOS deformation variable of each monitoring point, the LOS deformation difference of each monitoring point is calculated; Obtain the location coordinates of each monitoring point; Based on the position coordinates of each monitoring point and the LOS deformation difference of each monitoring point, a LOS deformation correction model is constructed.

[0014] Preferably, based on the position coordinates of each monitoring point and the LOS deformation difference of each monitoring point, a LOS deformation correction model is constructed, including: Taking the position coordinates of each monitoring point as the independent variable and the LOS deformation difference of each monitoring point as the dependent variable, a preset fitting algorithm is used for polynomial fitting to obtain the position coordinate-LOS deformation difference equation, which is used as the LOS deformation correction model.

[0015] Preferably, the LOS deformation amount of the target slope is corrected based on the LOS deformation correction model to obtain the corrected LOS deformation amount of the target slope, including: Obtain the coordinate position range of the target slope and the resolution of the SAR satellite; Determine a number of coordinate points within the coordinate position range based on the resolution of the SAR satellite; Substitute each coordinate point into the LOS deformation correction model to obtain the LOS correction value of each coordinate point; The LOS deformation variable corresponding to each coordinate point is corrected based on the LOS correction value of each coordinate point to obtain the corrected LOS deformation variable of the target slope.

[0016] In a second aspect, 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: A data acquisition module, used to acquire first observation data of multiple monitoring points deployed on the target slope at the same sampling time and second observation data of the target slope by the SAR satellite, wherein a GNSS receiver is deployed at each monitoring point; The first calculation module is used to determine the LOS deformation variable of the target slope based on the second observation data of the target slope by the SAR satellite, and extract the LOS deformation variable of each monitoring point from the LOS deformation variable of the target slope; A second calculation module is used to determine the deformation amount of each monitoring point according to the first observation data of each monitoring point; A model building module, used to build a LOS deformation correction model based on the deformation variables of each monitoring point and the LOS deformation variables of each monitoring point; A deformation correction module is used to correct the LOS deformation amount of the target slope based on the LOS deformation correction model to obtain the corrected LOS deformation amount 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.

[0017] In a third aspect, the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned slope displacement and settlement monitoring method when executing the computer program.

[0018] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned slope displacement and settlement monitoring method.

[0019] Beneficial effects: The present invention deploys a plurality of monitoring points on the target slope, and each monitoring point deploys a GNSS receiver for receiving first observation data, which is the GNSS observation data. The deformation of each monitoring point can be determined according to the GNSS observation data; at the same time, the target slope is observed by a SAR satellite to obtain second observation data, and the LOS deformation of each monitoring point can be calculated according to the second observation data; then, a LOS deformation correction model is constructed by using the deformation of each monitoring point and the LOS deformation of each monitoring point, and the LOS deformation of the entire target slope is corrected by using the LOS deformation correction model; finally, the corrected LOS deformation of the target slope is fused with the deformation of each monitoring point, so as to improve the accuracy of deformation (displacement and settlement) detection of the slope, and facilitate real-time observation of deformation changes of the slope. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings: Figure 1 is a flow chart of a slope displacement and settlement monitoring method provided by one embodiment of the present invention; Figure 2 It is a block diagram of a slope displacement and settlement monitoring system provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order 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 combination with the drawings and the description of the embodiments or the prior art. Obviously, the following description of the structure of the drawings is only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0022] Embodiment 1 Figure 1 FIG. 1 is a flow chart of a slope displacement and settlement monitoring method provided by one embodiment of the present invention. Figure 1 As shown, this embodiment provides a slope displacement and settlement monitoring method, the method comprising: Step S10: obtaining first observation data of multiple monitoring points deployed on the target slope at the same sampling time and second observation data of the target slope by the SAR satellite, wherein each monitoring point is deployed 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 may be a Beidou satellite receiver.

[0023] Step S20: based on the second observation data of the target slope by the SAR satellite, determine the LOS deformation variable of the target slope, and extract the LOS deformation variable of each monitoring point from the LOS deformation variable of the target slope.

[0024] 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, and the LOS deformation variable of the entire target slope can be determined based on the second observation data; because InSAR can only obtain one-dimensional deformation information in the line of sight (LOS) direction of the monitoring point, it is impossible to obtain a complete two-dimensional or three-dimensional deformation field, which limits the accuracy and scope of application of the monitoring results. At this time, the LOS deformation variable of the target slope has a certain error.

[0025] Step S30: Determine the deformation of each monitoring point according to the first observation data of each monitoring point; This embodiment can directly solve the deformation of each monitoring point according to the GNSS observation data of each monitoring point; The deformation of each monitoring point obtained according to the GNSS observation data has the advantages of multi-direction, high precision, and automatic observation, but is limited by the monitoring equipment, and its GNSS observation data is sparse, and some disaster points cannot be manually arranged. The second observation data can cover the entire target slope, but the LOS deformation of the target slope has a certain error; Therefore, the LOS deformation is corrected by the deformation of each monitoring point obtained by the GNSS observation data, which can improve the accuracy of deformation monitoring.

[0026] Step S40: constructing a LOS deformation correction model based on the deformation amount of each monitoring point and the LOS deformation amount of each monitoring point.

[0027] In this embodiment, based on the deformation amount of each monitoring point and the LOS deformation amount of each monitoring point, a LOS deformation correction model is constructed, including: Step S401: obtaining the line of sight of the SAR satellite of each monitoring point; Step S402: Project the deformation variable of each monitoring point onto the line of sight of the corresponding SAR satellite to obtain the projected line of sight deformation variable of each monitoring point; construct the line of sight coordinate system of the SAR satellite at each monitoring point, project the LOS deformation variable of each monitoring point onto the line of sight coordinate system of the SAR satellite, and obtain the X-axis unit projection LOS deformation vector, the Y-axis unit projection LOS deformation vector, and the Z-axis unit projection LOS deformation vector; then project the deformation variable of each monitoring point onto the line of sight coordinate system of the SAR satellite to obtain the X-axis deformation variable, the Y-axis deformation variable, and the Z-axis deformation variable, multiply the X-axis deformation variable by the X-axis unit projection LOS deformation vector to obtain the X-axis deformation vector, multiply the Y-axis deformation variable by the Y-axis unit projection LOS deformation vector to obtain the Y-axis deformation vector, and multiply the Z-axis deformation variable by the Z-axis unit projection LOS deformation vector to obtain the Z-axis deformation vector; then perform vector summation on the X-axis deformation vector, the Y-axis deformation vector, and the Z-axis deformation vector to obtain the projected line of sight deformation variable of each monitoring point.

[0028] Step S403: Calculate the LOS deformation difference of each monitoring point according to the projected line of sight deformation variable and the LOS deformation variable of each monitoring point; at each monitoring point, subtract the corresponding LOS deformation variable from the projected line of sight deformation variable to obtain the LOS deformation difference of the monitoring point; this LOS deformation difference represents the deviation of the original LOS deformation variable.

[0029] Step S404: Obtain the location coordinates of each monitoring point. The location coordinates may be the longitude and latitude of the monitoring point.

[0030] Step S405: constructing a LOS deformation correction model based on the position coordinates of each monitoring point and the LOS deformation difference of each monitoring point.

[0031] Specifically, based on the position coordinates of each monitoring point and the LOS deformation difference of each monitoring point, a LOS deformation correction model is constructed, including: Taking the position coordinates of each monitoring point as the independent variable and the LOS deformation difference of each monitoring point as the dependent variable, a preset fitting algorithm is used for polynomial fitting to obtain the position coordinate-LOS deformation difference equation, which is used as the LOS deformation correction model.

[0032] In this embodiment, the position coordinates of each monitoring point are the longitude and latitude of each monitoring point, that is, the longitude and latitude 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 for polynomial fitting to obtain the position coordinate-LOS deformation difference equation; therefore, when any longitude and latitude 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 variable at this position to improve the accuracy of the LOS deformation variable.

[0033] Step S50: correcting the LOS deformation amount of the target slope based on the LOS deformation correction model to obtain the corrected LOS deformation amount of the target slope.

[0034] Specifically, the LOS deformation amount of the target slope is corrected based on the LOS deformation correction model to obtain the corrected LOS deformation amount of the target slope, including: Step S501: obtaining the coordinate position range of the target slope and the resolution of the SAR satellite; Step S502: determining a number of coordinate points within the coordinate position range based on the resolution of the SAR satellite; Step S503: Substitute each coordinate point into the LOS deformation correction model to obtain the LOS correction value of each coordinate point; Step S504: based on the LOS correction amount of each coordinate point, the LOS deformation amount corresponding to each coordinate point is corrected to obtain the corrected LOS deformation amount of the target slope.

[0035] In this embodiment, all the incident points within the coordinate position range of the SAR satellite can be determined according to the resolution of the SAR satellite, and the coordinate point of each incident point can be obtained, that is, the longitude and latitude of each incident point can be obtained, and the longitude and latitude of each incident point can be substituted into the LOS deformation correction model, that is, the LOS correction amount of each incident point can be calculated, and the LOS correction amount of each incident point is added to the LOS deformation amount corresponding to the incident point to obtain the corrected LOS deformation amount of each incident point, and the corrected LOS deformation amounts of all the incident points constitute the corrected LOS deformation amount of the target slope.

[0036] 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.

[0037] In this embodiment, the fusion model is constructed using the Kalman filter algorithm. The fusion model is used to fuse the corrected LOS deformation variable of the target slope and the deformation variable 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 horizontal displacement of the slope and the vertical settlement.

[0038] In this embodiment, GNSS mainly adopts static monitoring during monitoring. When the deformation of the target slope is relatively slow, the accuracy of the deformation amount 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 easy to be affected by the multipath effect, and its accuracy will be reduced. Therefore, GNSS monitoring has the defect of poor real-time performance.

[0039] In order to solve the above problems, as a further optimization of this embodiment, at least one sub-monitoring point is deployed around each monitoring point, and each sub-monitoring point is provided with an inertial monitor, and the inertial monitor is used to collect the inertial deformation amount at the sub-monitoring point; the inertial monitor is composed of an accelerometer and a gyroscope, and is used to monitor the acceleration signal and angular velocity signal during the deformation process, and the inertial deformation amount can be obtained by integrating the acceleration signal and the angular velocity signal.

[0040] As a further optimization of this embodiment, the method further includes: Step a10: for any monitoring point, obtain the deformation of the monitoring point at the last sampling moment; Step a20: calculating the deformation change of the monitoring point according to the deformation amount of the monitoring point at the previous sampling moment and the deformation amount of the monitoring point at the current sampling moment; Step a30: determining whether the deformation change amount of the monitoring point exceeds a preset change amount; Step a40: If not, 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 amount of the monitoring point exceeds the preset change amount, it means that the deformation of the monitoring point is accelerated, and it is necessary to start the nearby inertial monitor for monitoring; when the deformation change amount of the monitoring point does not exceed the preset change amount, it means that the deformation speed of the monitoring point is relatively slow, and there is no need for Beidou satellite to perform real-time monitoring; Step a50: acquiring the inertial deformation amount collected by at least one adjacent inertial monitor; Step a60: Based on the inertial deformation amount collected by at least one adjacent inertial monitor, the deformation amount of the monitoring point at the current sampling moment is corrected to obtain the corrected deformation amount of the monitoring point at the current sampling moment, and the corrected deformation amount of the monitoring point at the current sampling moment is used to participate in the construction of the LOS deformation correction model.

[0041] In step a50, the deformation amount of the monitoring point at the current sampling moment is corrected based on the inertial deformation amount collected by at least one adjacent inertial monitor to obtain the corrected deformation amount of the monitoring point at the current sampling moment, including: Step a501: Calculate the average inertial deformation amount adjacent to the monitoring point according to the number of at least one adjacent inertial monitor and the inertial deformation amount collected by at least one adjacent inertial monitor; Step a502: At the current sampling moment, determine the first calculation weight of the deformation variable of the monitoring point and the second calculation weight of the adjacent average inertial deformation variable according to the deformation change of the monitoring point; when the deformation change of the monitoring point is large, the first calculation weight is small and the second calculation weight is large; and the sum of the first calculation weight and the second calculation weight is 1.

[0042] Step a503: performing weighted summation based on the deformation amount of the monitoring point and the first calculation weight as well as the adjacent average inertial deformation amount and the second calculation weight to obtain a modified deformation amount of the monitoring point at the current sampling time.

[0043] The present invention utilizes steps a501 to a505 to realize the correction of the deformation amount of the monitoring point at the current sampling moment, thereby improving the real-time performance of the deformation amount monitoring of the monitoring point, and facilitating the improvement of the accuracy of the final deformation monitoring of the target slope.

[0044] The present invention deploys a plurality of monitoring points on the target slope, and each monitoring point deploys a GNSS receiver for receiving first observation data, which is the GNSS observation data. The deformation of each monitoring point can be determined according to the GNSS observation data; at the same time, the target slope is observed by a SAR satellite to obtain second observation data, and the LOS deformation of each monitoring point can be calculated according to the second observation data; then, a LOS deformation correction model is constructed by using the deformation of each monitoring point and the LOS deformation of each monitoring point, and the LOS deformation of the entire target slope is corrected by using the LOS deformation correction model; finally, the corrected LOS deformation of the target slope is fused with the deformation of each monitoring point, so as to improve the accuracy of deformation (displacement and settlement) detection of the slope, and facilitate real-time observation of deformation changes of the slope.

[0045] Embodiment 2 Figure 2FIG. 1 is a block diagram of a slope displacement and settlement monitoring system provided by an embodiment of the present invention. Figure 2 As shown, this embodiment provides a slope displacement and settlement monitoring system, which is used to implement the slope displacement and settlement monitoring method in embodiment 1. The system includes: A data acquisition module, used to acquire first observation data of multiple monitoring points deployed on the target slope at the same sampling time and second observation data of the target slope by the SAR satellite, wherein a GNSS receiver is deployed at each monitoring point; The first calculation module is used to determine the LOS deformation variable of the target slope based on the second observation data of the target slope by the SAR satellite, and extract the LOS deformation variable of each monitoring point from the LOS deformation variable of the target slope; A second calculation module is used to determine the deformation amount of each monitoring point according to the first observation data of each monitoring point; A model building module, used to build a LOS deformation correction model based on the deformation variables of each monitoring point and the LOS deformation variables of each monitoring point; A deformation correction module is used to correct the LOS deformation amount of the target slope based on the LOS deformation correction model to obtain the corrected LOS deformation amount 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.

[0046] 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, the slope displacement and settlement monitoring method in the first embodiment is implemented.

[0047] This embodiment further provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the slope displacement and settlement monitoring method in the first embodiment is implemented.

[0048] The present invention deploys a plurality of monitoring points on the target slope, and each monitoring point deploys a GNSS receiver for receiving first observation data, which is the GNSS observation data. The deformation of each monitoring point can be determined according to the GNSS observation data; at the same time, the target slope is observed by a SAR satellite to obtain second observation data, and the LOS deformation of each monitoring point can be calculated according to the second observation data; then, a LOS deformation correction model is constructed by using the deformation of each monitoring point and the LOS deformation of each monitoring point, and the LOS deformation of the entire target slope is corrected by using the LOS deformation correction model; finally, the corrected LOS deformation of the target slope is fused with the deformation of each monitoring point, so as to improve the accuracy of deformation (displacement and settlement) detection of the slope, and facilitate real-time observation of deformation changes of the slope.

[0049] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0050] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A system that specifies the functions of a box or multiple boxes.

[0051] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A slope displacement and settlement monitoring method, characterized in that: The method comprises: Acquire first observation data of multiple monitoring points deployed on the target slope at the same sampling time and second observation data of the target slope by the SAR satellite, wherein a GNSS receiver is deployed at each monitoring point; Based on the second observation data of the target slope by the SAR satellite, the LOS deformation variable of the target slope is determined, and the LOS deformation variable of each monitoring point is extracted from the LOS deformation variable of the target slope; Determine the deformation amount of each monitoring point according to the first observation data of each monitoring point; Based on the deformation variables of each monitoring point and the LOS deformation variables of each monitoring point, a LOS deformation correction model is constructed; The LOS deformation variable of the target slope is corrected based on the LOS deformation correction model to obtain the corrected LOS deformation variable 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.

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. Each sub-monitoring point is provided with an inertial monitor, and the inertial monitor is used to collect the inertial deformation amount at the sub-monitoring point.

3. The slope displacement and settlement monitoring method according to claim 2 is characterized in that: The method further comprises: For any monitoring point, obtain the deformation of the monitoring point at the last sampling moment; Calculate the deformation change of the monitoring point according to the deformation amount of the monitoring point at the previous sampling time and the deformation amount of the monitoring point at the current sampling time; Determine whether the deformation change of the monitoring point exceeds a preset change; If not, extract the inertial monitors on the sub-monitoring points adjacent to the monitoring point to obtain at least one adjacent inertial monitor; Acquiring an inertial deformation amount collected by at least one adjacent inertial monitor; Based on the inertial deformation amount collected by at least one adjacent inertial monitor, the deformation amount of the monitoring point at the current sampling moment is corrected to obtain the corrected deformation amount of the monitoring point at the current sampling moment, and the corrected deformation amount of the monitoring point at the current sampling moment is used to participate in the construction of the LOS deformation correction model.

4. The slope displacement and settlement monitoring method according to claim 3 is characterized in that: The deformation amount of the monitoring point at the current sampling moment is corrected based on the inertial deformation amount collected by at least one adjacent inertial monitor to obtain the corrected deformation amount of the monitoring point at the current sampling moment, including: Calculate an average inertial deformation amount adjacent to the monitoring point according to the number of at least one adjacent inertial monitor and the inertial deformation amount collected by at least one adjacent inertial monitor; At the current sampling moment, according to the deformation change amount of the monitoring point, a first calculation weight of the deformation amount of the monitoring point and a second calculation weight of the adjacent average inertial deformation amount are determined; A weighted sum is performed based on the deformation amount of the monitoring point and the first calculation weight as well as the adjacent average inertial deformation amount and the second calculation weight to obtain a modified deformation amount of the monitoring point at the current sampling moment.

5. The slope displacement and settlement monitoring method according to claim 1, characterized in that: Based on the deformation variables of each monitoring point and the LOS deformation variables of each monitoring point, a LOS deformation correction model is constructed, including: Obtain the line of sight of the SAR satellite at each monitoring point; 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; According to the projection sight line deformation variable of each monitoring point and the LOS deformation variable of each monitoring point, the LOS deformation difference of each monitoring point is calculated; Obtain the location coordinates of each monitoring point; Based on the position coordinates of each monitoring point and the LOS deformation difference of each monitoring point, a LOS deformation correction model is constructed.

6. The slope displacement and settlement monitoring method according to claim 5, characterized in that: Based on the position coordinates of each monitoring point and the LOS deformation difference of each monitoring point, a LOS deformation correction model is constructed, including: Taking the position coordinates of each monitoring point as the independent variable and the LOS deformation difference of each monitoring point as the dependent variable, a preset fitting algorithm is used for polynomial fitting to obtain the position coordinate-LOS deformation difference equation, which is used as the LOS deformation correction model.

7. The slope displacement and settlement monitoring method according to claim 6, characterized in that: The LOS deformation variable of the target slope is corrected based on the LOS deformation correction model to obtain the corrected LOS deformation variable of the target slope, including: Obtain the coordinate position range of the target slope and the resolution of the SAR satellite; Based on the resolution of the SAR satellite, determining a number of coordinate points within the coordinate position range; Substitute each coordinate point into the LOS deformation correction model to obtain the LOS correction value of each coordinate point; The LOS deformation variable corresponding to each coordinate point is corrected based on the LOS correction value of each coordinate point to obtain the corrected LOS deformation variable of the target slope.

8. A slope displacement and settlement monitoring system, used to implement the slope displacement and settlement monitoring method according to any one of claims 1 to 7, characterized in that: The system comprises: A data acquisition module, used to acquire first observation data of multiple monitoring points deployed on the target slope at the same sampling time and second observation data of the target slope by the SAR satellite; A first calculation module is used to determine the LOS deformation variable of the target slope based on the second observation data of the target slope by the SAR satellite, and extract the LOS deformation variable of each monitoring point from the LOS deformation variable of the target slope, and a GNSS receiver is deployed at each monitoring point; A second calculation module is used to determine the deformation amount of each monitoring point according to the first observation data of each monitoring point; A model building module, used to build a LOS deformation correction model based on the deformation variables of each monitoring point and the LOS deformation variables of each monitoring point; A deformation correction module is used to correct the LOS deformation amount of the target slope based on the LOS deformation correction model to obtain the corrected LOS deformation amount 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.

9. 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, the slope displacement and settlement monitoring method described in any one of claims 1-7 is implemented.

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

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