CN116299446B - Surface deformation monitoring method and system based on INSAR technology - Google Patents
Surface deformation monitoring method and system based on INSAR technology Download PDFInfo
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Abstract
The invention discloses a method and a system for monitoring earth surface deformation based on INSAR technology, comprising an INSAR monitoring module, a real-time image acquisition module, a weather information acquisition module, a position information acquisition module, a laser scanning module and a comprehensive acquisition module; the INSAR monitoring module is used for extracting the earth surface deformation information of the target area based on the time sequence INSAR sedimentation monitoring model, and carrying out monitoring and early warning on the earth surface deformation trend of the target area to obtain monitoring and early warning information; the real-time image acquisition module is used for acquiring real-time image information of the monitored area, the weather information acquisition module is used for acquiring weather information of the monitored area, and the position information acquisition module is used for acquiring position information of the monitored area; the laser scanning module is used for carrying out laser scanning on the monitored area to obtain laser scanning information. The invention can comprehensively monitor the surface deformation, the generated warning information is more accurate, the situation of sending false alarms is avoided, and the loss caused by the surface deformation is effectively reduced.
Description
Technical Field
The invention relates to the field of earth surface monitoring, in particular to an earth surface deformation monitoring method and system based on INSAR technology.
Background
The surface morphology is a topographical feature that is formed by the process of forming the shape of the ground. Such as: the horizontal movement enables the rock stratum to horizontally displace and bend and deform to form fracture zones, oceans and fold mountains; the vertical movement causes the formation to rise and collapse, causing relief changes in topography and sea Liu Bianqian. The general trend of the internal force action causes the ground surface to become uneven, and the shape of the ground surface changes, namely the deformation of the ground surface;
the method and the system for monitoring the surface deformation can effectively reduce the loss caused by natural disasters caused by the deformation of the landmarks by monitoring the surface deformation in real time and giving out an alarm.
The existing earth surface deformation monitoring method and system have single earth surface deformation mode, are easy to send out deformation alarms by mistake, and bring certain influence to the use of the earth surface deformation monitoring method and system, so that the earth surface deformation monitoring method and system based on INSAR technology are provided.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the problems that the existing earth surface deformation monitoring method and system have single earth surface deformation mode, are easy to send deformation alarms by mistake and bring certain influence to the use of the earth surface deformation monitoring method and system, and provide an earth surface deformation monitoring method and system based on INSAR technology.
The invention solves the technical problems through the following technical scheme that the invention comprises an INSAR monitoring module, a real-time image acquisition module, a weather information acquisition module, a position information acquisition module, a laser scanning module and a comprehensive acquisition module;
the INSAR monitoring module is used for extracting ground surface deformation information of a target area based on a time sequence INSAR sedimentation monitoring model, extracting average deformation rate, historical deformation information and three-dimensional position information of each point of the target area according to the ground surface deformation information, carrying out position identification on each point of the target area according to the three-dimensional position information, carrying out deformation identification on each point according to the average deformation rate to obtain sedimentation space-time distribution characteristics of the target area, inputting the historical deformation information into a deformation multi-angle analysis model to obtain deformation mechanism information of the target area, and carrying out monitoring and early warning on ground surface deformation trend of the target area according to the deformation mechanism information, the sedimentation space-time distribution characteristics and the three-dimensional position identification to obtain monitoring and early warning information;
the real-time image acquisition module is used for acquiring real-time image information of the monitored area, the weather information acquisition module is used for acquiring weather information of the monitored area, and the position information acquisition module is used for acquiring position information of the monitored area;
the laser scanning module is used for carrying out laser scanning on the monitored area to obtain laser scanning information;
the comprehensive acquisition module is used for acquiring surface data through an acquisition mode in a preset acquisition library to acquire comprehensive acquisition data;
the surface deformation monitoring system processes the real-time image information of the monitored area to generate image evaluation information, processes the real-time weather information to generate weather warning information, processes the position information of the monitored area to obtain position evaluation information, and processes the laser scanning information to obtain laser scanning abnormal information.
The image evaluation information comprises primary image evaluation information, secondary image evaluation information and tertiary image evaluation information, and the specific processing process of the image evaluation information is as follows: the method comprises the steps of extracting collected real-time image information of a monitored area, processing the real-time image information of the monitored area to obtain a plurality of image evaluation parameters, processing the plurality of image evaluation parameters to obtain a plurality of average parameter information, generating first-level image evaluation information when the plurality of average parameter information is smaller than a preset value, generating first-level image evaluation information when average parameter information in a preset value range exists in the average parameter information, and generating third-level image evaluation information when average parameter information larger than the preset value exists in the average parameter information.
Further, the specific processing procedure of the image evaluation parameter is as follows: extracting real-time image information of the monitored area, wherein the real-time image information of the monitored area is real-time images of the monitored area within a preset time length, and the real-time images startSelecting x characteristic points in the real-time image at the time point, wherein x is more than or equal to 10, and marking the characteristic point at the time as Q Opening device The size of x is proportional to the size of the monitoring area, then at the end time point of the real-time image, the positions of x feature points are acquired again, and the positions of the feature points at the moment are marked as Q Terminal (A) Then, the corresponding characteristic point Q is measured Opening device And feature point Q Terminal (A) The distance information between the two images can obtain the image evaluation parameters.
Further, the specific processing procedure of the average parameter information is as follows: extracting image evaluation parameters in at least three pieces of real-time image information of the same monitoring place, forming parameter sets by the image evaluation parameters of the same position in the three pieces of real-time image information of the same monitoring place, randomly extracting m parameter sets, marking the image evaluation parameters in a single parameter set as K1, K2 and K3, calculating the offset average value Kk by the formula (K1+K2+K3)/3=Kk, and obtaining the average parameter by calculating the offset average value Kk of the m parameter sets.
And further, the position distance between the characteristic points of the real-time image information in any two groups of parameter groups in the m groups of parameter groups is larger than the preset distance.
Further, the specific processing process of the weather warning information is as follows; extracting the acquired weather information of the monitored area, wherein the weather information of the monitored area comprises average rainfall information and average wind power information within a preset time period of the monitored area;
when the average precipitation information is larger than a preset value, extracting the day information larger than the average precipitation information, and when the day information larger than the average precipitation information exceeds the preset day, generating weather warning information;
when the average wind power size information is larger than the preset wind power level, extracting the number of days information larger than the average wind power size information, and when the number of days information larger than the average wind power size information exceeds the preset number of days, generating weather warning information.
Further, the location evaluation information includes location normal information, location general information and location abnormal information, and the specific processing procedure of the location evaluation information is as follows: the method comprises the steps of extracting collected position information of a monitored place, importing the position information of the monitored place into the Internet, obtaining distance information of human activities closest to the position of the monitored place from the Internet, marking the distance information as an evaluation distance T, wherein the human activity information comprises mining and oilfield exploitation, generating position normal information when the evaluation distance T is larger than a preset value, generating position general information when the evaluation distance T is within a preset distance range, and generating position abnormal information when the evaluation distance T is smaller than the preset value.
The specific process of obtaining the laser scanning information by the laser scanning module through laser scanning the monitored area is as follows: scanning the surface of the monitored land by a ground three-dimensional laser scanning system at preset intervals to form three-dimensional coordinate data of a preset number of points, namely obtaining laser scanning information, wherein the specific processing process of the laser scanning abnormal information is as follows: collecting laser scanning information once at preset time intervals, collecting the laser scanning information once again, extracting three-dimensional coordinate data of a preset number of points in the laser scanning information collected twice, calculating the position distance difference between the three-dimensional coordinate data of the same position, and generating laser scanning abnormal information when the position distance difference is larger than a warning value.
The ground surface deformation monitoring system randomly selects any two modes in the preset collection library to collect and process the measured comprehensive collection data when the image evaluation information is three-level image evaluation information, and synchronously generates deformation warning information to send when the processed result is still ground surface deformation, and generates manual examination information to carry out manual examination when the processed result is still ground surface deformation.
An INSAR technology-based earth surface deformation monitoring method comprises the following steps:
step one: extracting ground surface deformation information of a target area based on a time sequence INSAR sedimentation monitoring model by an INSAR monitoring module, extracting average deformation rate, historical deformation information and three-dimensional position information of each point of the target area according to the ground surface deformation information, carrying out position identification on each point of the target area according to the three-dimensional position information, carrying out deformation identification on each point according to the average deformation rate to obtain sedimentation space-time distribution characteristics of the target area, inputting the historical deformation information into a deformation multi-angle analysis model to obtain deformation mechanism information of the target area, and carrying out monitoring and early warning on ground surface deformation trend of the target area according to the deformation mechanism information, the sedimentation space-time distribution characteristics and the three-dimensional position identification to obtain monitoring and early warning information;
step two: collecting real-time image information of the monitored area, weather information of the monitored area and position information of the monitored area;
step three: processing the real-time image information of the monitored area to generate image evaluation information, processing the real-time weather information to generate weather warning information, and processing the position information of the monitored area to obtain position evaluation information;
step four: then, carrying out laser scanning on the monitored area to obtain laser scanning information, and acquiring surface data through an acquisition mode in a preset acquisition library to obtain comprehensive acquisition data;
step five: the laser scanning information is processed to obtain laser scanning abnormal information, and the comprehensively collected data is processed to generate deformation warning information or manual examination information.
Compared with the prior art, the invention has the following advantages: according to the surface deformation monitoring method and system based on INSAR technology, the image information of the monitored area is processed through the set real-time image acquisition module, whether the monitored area is deformed or not can be intuitively known, different types of evaluation information are generated according to actual change conditions, a user can know the general state of the monitored area in more detail, meanwhile, the comprehensive acquisition module is matched to monitor the surface deformation in different modes to check the image analysis result, the situation that the image information analysis is wrong and an alarm is sent out by mistake is effectively prevented, meanwhile, the set weather warning information can enable the user to know whether the monitoring is in extreme weather for a long time or not, so that corresponding warning is sent out according to actual conditions, safety is guaranteed, meanwhile, the set laser scanning module conducts laser scanning on the monitoring, when abnormal conditions are found, timely sends out warning information, and is matched with the setting of the image evaluation information, so that the system and method can comprehensively monitor the surface deformation, judge whether the surface deformation occurs or not more rapidly, and warn is sent out to reduce loss caused by the surface deformation, and the system and the method are worth popularizing and using.
Drawings
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1, this embodiment provides a technical solution: an INSAR technology-based earth surface deformation monitoring system comprises an INSAR monitoring module, a real-time image acquisition module, a weather information acquisition module, a position information acquisition module, a laser scanning module and a comprehensive acquisition module;
the INSAR monitoring module is used for extracting ground surface deformation information of a target area based on a time sequence INSAR sedimentation monitoring model, extracting average deformation rate, historical deformation information and three-dimensional position information of each point of the target area according to the ground surface deformation information, carrying out position identification on each point of the target area according to the three-dimensional position information, carrying out deformation identification on each point according to the average deformation rate to obtain sedimentation space-time distribution characteristics of the target area, inputting the historical deformation information into a deformation multi-angle analysis model to obtain deformation mechanism information of the target area, carrying out monitoring and early warning on the ground surface deformation trend of the target area according to the deformation mechanism information, the sedimentation space-time distribution characteristics and the three-dimensional position identification, and sending monitoring and early warning information when any one parameter of the deformation mechanism information, the sedimentation space-time distribution characteristics and the three-dimensional position identification is abnormal;
the real-time image acquisition module is used for acquiring real-time image information of the monitored area, the weather information acquisition module is used for acquiring weather information of the monitored area, and the position information acquisition module is used for acquiring position information of the monitored area;
the laser scanning module is used for carrying out laser scanning on the monitored area to obtain laser scanning information;
the comprehensive acquisition module is used for acquiring surface data through an acquisition mode in a preset acquisition library to acquire comprehensive acquisition data;
the surface deformation monitoring system processes the real-time image information of the monitored area to generate image evaluation information, processes the real-time weather information to generate weather warning information, processes the position information of the monitored area to obtain position evaluation information, and processes the laser scanning information to obtain laser scanning abnormal information;
the invention processes the image information of the monitored area through the set real-time image acquisition module, can intuitively know whether the monitored area is deformed or not, and generates different types of evaluation information according to the actual change condition, so that a user can know the general state of the monitored area in more detail, and simultaneously check the image analysis result by monitoring the surface deformation in different modes by matching with the comprehensive acquisition module, thereby effectively preventing the image information analysis error and the false alarm condition from happening, and simultaneously ensuring the safety by the set weather warning information, and ensuring that the user knows whether the monitoring is in extreme weather for a long time or not, thereby sending corresponding warning according to the actual condition, and simultaneously ensuring the safety.
The image evaluation information comprises primary image evaluation information, secondary image evaluation information and tertiary image evaluation information, and the specific processing process of the image evaluation information is as follows: extracting the acquired real-time image information of the monitored area, processing the real-time image information of the monitored area to obtain a plurality of image evaluation parameters, processing the plurality of image evaluation parameters to obtain a plurality of average parameter information, generating first-level image evaluation information when the plurality of average parameter information is smaller than a preset value, generating first-level image evaluation information when the average parameter information in a preset value range exists in the average parameter information, and generating third-level image evaluation information when the average parameter information in the average parameter information is larger than the preset value;
the first-level image evaluation information indicates that the monitoring place is normal, deformation risk is not present temporarily, the second-level image evaluation information indicates that the monitoring place is abnormal, deformation risk is possibly present, the second-level image evaluation information indicates that the monitoring place is abnormal, deformation risk is present, and the user can intuitively know whether the monitoring place has deformation risk or not by analyzing the image information of the monitoring place.
The specific processing procedure of the image evaluation parameters is as follows: extracting real-time image information of a monitored area, wherein the real-time image information of the monitored area is a real-time image of the monitored area within a preset time period, selecting x characteristic points in the real-time image at the starting time point of the real-time image, wherein x is more than or equal to 10, and marking the characteristic point at the moment as Q Opening device The size of x is proportional to the size of the monitoring area, then at the end time point of the real-time image, the positions of x feature points are acquired again, and the positions of the feature points at the moment are marked as Q Terminal (A) Then, the corresponding characteristic point Q is measured Opening device And feature point Q Terminal (A) The distance information between the two images is used for obtaining image evaluation parameters;
the specific processing procedure of the average parameter information is as follows: extracting image evaluation parameters in at least three pieces of real-time image information of the same monitoring place, forming parameter sets by the image evaluation parameters of the same position in the three pieces of real-time image information of the same monitoring place, randomly extracting m parameter sets, marking the image evaluation parameters in a single parameter set as K1, K2 and K3, calculating an offset average value Kk by a formula (K1+K2+K3)/3=Kk, and obtaining an average parameter by calculating the offset average value Kk of the m parameter sets;
through the process, accurate image evaluation parameters and average parameters are calculated, so that more accurate image information evaluation is performed, and the referenceability of the acquired image evaluation information is improved.
The position distance between the characteristic points of the real-time image information in any two parameter sets in the m parameter sets is larger than a preset distance;
by the arrangement, two groups of parameters close to each other are effectively avoided, namely, two positions close to each other are avoided from being selected for parameter acquisition, deformation parameters close to the positions are not changed greatly, and acquired data are low in referential property when acquisition positions are close.
The specific processing process of the weather warning information is as follows; extracting the acquired weather information of the monitored area, wherein the weather information of the monitored area comprises average rainfall information and average wind power information within a preset time period of the monitored area;
when the average precipitation information is larger than a preset value, extracting the day information larger than the average precipitation information, and when the day information larger than the average precipitation information exceeds the preset day, generating weather warning information;
when the average wind power size information is larger than a preset wind power level, extracting the number of days information larger than the average wind power size information, and when the number of days information larger than the average wind power size information exceeds a preset number of days, generating weather warning information;
when the monitoring ground is in a heavy rainfall area for a long time, ground soil and the like are easy to wash away, the ground surface performance can occur, and meanwhile, the monitoring ground is in a strong wind area for a long time, the ground surface is also deformed, so that weather warning is timely generated, and a user can intuitively know whether the monitoring ground has the risk of deformation or not.
The position evaluation information comprises position normal information, position general information and position abnormal information, and the specific processing process of the position evaluation information is as follows: extracting the collected position information of the monitored place, importing the position information of the monitored place into the Internet, acquiring distance information of human activities closest to the position of the monitored place from the Internet, marking the distance information as an evaluation distance T, wherein the human activity information comprises mining and oilfield exploitation, generating position normal information when the evaluation distance T is larger than a preset value, generating position general information when the evaluation distance T is within the preset distance range, and generating position abnormal information when the evaluation distance T is smaller than the preset value;
through the process, whether large-scale activities of human beings exist around the monitored ground or not can be known, such as mining, and the large-scale activities of human beings possibly cause surface deformation such as collapse, so that the surface deformation is easy to occur when the monitored ground is closer to the large-scale activities of human beings, and position abnormality information can be timely sent out to remind better.
The specific process of the laser scanning module for obtaining the laser scanning information by scanning the monitored area is as follows: scanning the surface of the monitored land by a ground three-dimensional laser scanning system at preset intervals to form three-dimensional coordinate data of a preset number of points, namely obtaining laser scanning information, wherein the specific processing process of the laser scanning abnormal information is as follows: collecting laser scanning information once at intervals of preset time, collecting the laser scanning information once again, extracting three-dimensional coordinate data of a preset number of points in the laser scanning information collected twice, calculating the position distance difference between the three-dimensional coordinate data of the same position, and generating laser scanning abnormal information when the position distance difference is larger than a warning value;
the ground three-dimensional laser scanning is applied to the characteristics of deformation monitoring: and (1) enriching information. The ground three-dimensional laser scanning system scans the surface of the deformed body at certain intervals to form three-dimensional coordinate data of a large number of points. Compared with the deformation monitoring research on the deformation body by only relying on a small number of monitoring points, the deformation body monitoring method has the characteristics of comprehensive and rich information. (2) indirect measurement of deformation is achieved. The ground three-dimensional laser scanning system does not need to contact the deformation body at all in the process of collecting the point cloud, and only needs to arrange a small number of targets around the deformation body when splicing between stations. (3) The research on the integral deformation of the deformation body is facilitated, the ground three-dimensional laser scanning system can acquire the multi-angle, all-dimensional and high-precision point cloud data of the deformation body through multi-station splicing, and the integral deformation information of the deformation body can be conveniently acquired through denoising, fitting and modeling;
therefore, the monitoring is assisted by a laser scanning mode, and whether deformation occurs can be rapidly and accurately monitored.
The surface deformation monitoring system randomly selects any two modes in the preset collection library to collect and process the measured comprehensive collection data when the image evaluation information is three-level image evaluation information, and synchronously generates deformation warning information to send when the processed result is still deformation of the surface, and generates manual examination information to carry out manual examination when the processed result is still deformation of the surface;
the characteristics of the special measuring means of strain measurement, hydrostatic leveling measurement, collimation measurement and inclination measurement are as follows: the measuring process is simple, automatic monitoring and continuous monitoring are easy to realize, and local deformation information is provided.
And (5) strain measurement. Strain measurement adopts the working principle of strain gauges, and is divided into two types: one is to calculate strain by measuring the change in distance between two points; the other is a direct use sensor, essentially a conductor (a metal strip or a very narrow foil strip) embedded in a deformation body, which changes the resistance of the conductor by stretching or shortening the conductor due to strain in the deformation body. The change in conductor resistance is measured with a bridge, and strain can be calculated by measuring the change in resistance.
Hydrostatic leveling. The method is an observation method for measuring vertical displacement by using the principle of static liquid level to transfer elevation, namely, the change of liquid level difference in a container at each point is measured by using the principle of communicating pipes, so that the height difference between two or more points can be measured. The method is suitable for observing the vertical displacement of building foundations, concrete dam foundations, galleries and upper surfaces of earth and stones. One of the observation heads is generally arranged at the datum point, the other observation heads are arranged on the target point, and the height difference of the monitoring point relative to the datum point can be obtained through the difference value between the observation heads. The method does not need point-to-point sight, is easy to overcome the blocking between barriers, and can convert the elevation change of the liquid level into inductance output, thereby being beneficial to realizing the automation of monitoring.
And (5) collimation measurement. The collimation measurement is the process of measuring the vertical distance of a measuring point from a datum line, and aims to observe the change of the point position relative to the datum line in a certain direction, and comprises horizontal collimation and vertical collimation. Horizontal collimation is a micro-distance measurement that deviates from a horizontal baseline, which is generally parallel to the object being monitored. The plumb method is a micro-distance measurement from a vertical line, and the plumb line passing through a reference point is taken as a vertical reference line.
And (5) measuring the inclination. Uneven settlement of the foundation will tilt the building, and has a greater impact on tall buildings, and severe uneven settlement can cause cracking or even collapse of the building. The key to tilt measurement is to determine the horizontal displacement vector of the center of the building roof relative to the center of the floor or the center of each floor above relative to the center of the floor below. The basic principle of building inclination observation is to measure the horizontal deviation of the top center of a building relative to the bottom center to calculate the inclination angle, and the inclination angle is usually expressed by the ratio of the horizontal distance between the center points of the upper and lower marks to the height difference of the upper and lower marks.
The monitoring method can meet different requirements in actual use, and can freely select a monitoring method more suitable for the type of monitoring area without the type of monitoring area, so that the accuracy of sending out the warning information is ensured, and the occurrence of false alarm conditions is reduced.
An INSAR technology-based earth surface deformation monitoring method comprises the following steps:
step one: extracting ground surface deformation information of a target area based on a time sequence INSAR sedimentation monitoring model by an INSAR monitoring module, extracting average deformation rate, historical deformation information and three-dimensional position information of each point of the target area according to the ground surface deformation information, carrying out position identification on each point of the target area according to the three-dimensional position information, carrying out deformation identification on each point according to the average deformation rate to obtain sedimentation space-time distribution characteristics of the target area, inputting the historical deformation information into a deformation multi-angle analysis model to obtain deformation mechanism information of the target area, and carrying out monitoring and early warning on ground surface deformation trend of the target area according to the deformation mechanism information, the sedimentation space-time distribution characteristics and the three-dimensional position identification to obtain monitoring and early warning information;
step two: collecting real-time image information of the monitored area, weather information of the monitored area and position information of the monitored area;
step three: processing the real-time image information of the monitored area to generate image evaluation information, processing the real-time weather information to generate weather warning information, and processing the position information of the monitored area to obtain position evaluation information;
step four: then, carrying out laser scanning on the monitored area to obtain laser scanning information, and acquiring surface data through an acquisition mode in a preset acquisition library to obtain comprehensive acquisition data;
step five: the laser scanning information is processed to obtain laser scanning abnormal information, and the comprehensively collected data is processed to generate deformation warning information or manual examination information.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (10)
1. The earth surface deformation monitoring system based on the INSAR technology is characterized by comprising an INSAR monitoring module, a real-time image acquisition module, a weather information acquisition module, a position information acquisition module, a laser scanning module and a comprehensive acquisition module;
the INSAR monitoring module is used for extracting ground surface deformation information of a target area based on a time sequence INSAR sedimentation monitoring model, extracting average deformation rate, historical deformation information and three-dimensional position information of each point of the target area according to the ground surface deformation information, carrying out position identification on each point of the target area according to the three-dimensional position information, carrying out deformation identification on each point according to the average deformation rate to obtain sedimentation space-time distribution characteristics of the target area, inputting the historical deformation information into a deformation multi-angle analysis model to obtain deformation mechanism information of the target area, and carrying out monitoring and early warning on ground surface deformation trend of the target area according to the deformation mechanism information, the sedimentation space-time distribution characteristics and the three-dimensional position identification to obtain monitoring and early warning information;
the real-time image acquisition module is used for acquiring real-time image information of the monitored area, the weather information acquisition module is used for acquiring weather information of the monitored area, and the position information acquisition module is used for acquiring position information of the monitored area;
the laser scanning module is used for carrying out laser scanning on the monitored area to obtain laser scanning information;
the comprehensive acquisition module is used for acquiring surface data through an acquisition mode in a preset acquisition library to acquire comprehensive acquisition data;
the surface deformation monitoring system processes the real-time image information of the monitored area to generate image evaluation information, processes the real-time weather information to generate weather warning information, processes the position information of the monitored area to obtain position evaluation information, and processes the laser scanning information to obtain laser scanning abnormal information.
2. The INSAR-based surface deformation monitoring system as set forth in claim 1, wherein: the image evaluation information comprises primary image evaluation information, secondary image evaluation information and tertiary image evaluation information, and the specific processing process of the image evaluation information is as follows: the method comprises the steps of extracting collected real-time image information of a monitored area, processing the real-time image information of the monitored area to obtain a plurality of image evaluation parameters, processing the plurality of image evaluation parameters to obtain a plurality of average parameter information, generating first-level image evaluation information when the plurality of average parameter information is smaller than a preset value, generating second-level image evaluation information when average parameter information in a preset value range exists in the average parameter information, and generating third-level image evaluation information when average parameter information larger than the preset value exists in the average parameter information.
3. An INSAR technology based earth surface deformation monitoring system according to claim 2, characterized in that: the specific processing procedure of the image evaluation parameters is as follows: extracting real-time image information of a monitored area, wherein the real-time image information of the monitored area is a real-time image of the monitored area within a preset time period, selecting x characteristic points in the real-time image at the starting time point of the real-time image, wherein x is more than or equal to 10, and marking the characteristic point at the moment as Q Opening device The size of x is proportional to the size of the monitoring area, then at the end time point of the real-time image, the positions of x feature points are acquired again, and the positions of the feature points at the moment are marked as Q Terminal (A) Then, the corresponding characteristic point Q is measured Opening device And feature point Q Terminal (A) The distance information between the two images is obtainedParameters are evaluated.
4. An INSAR technology based earth surface deformation monitoring system according to claim 2, characterized in that: the specific processing procedure of the average parameter information is as follows: extracting image evaluation parameters in at least three pieces of real-time image information of the same monitoring place, forming parameter sets by the image evaluation parameters of the same position in the three pieces of real-time image information of the same monitoring place, randomly extracting m parameter sets, marking the image evaluation parameters in a single parameter set as K1, K2 and K3, calculating the offset average value Kk by the formula (K1+K2+K3)/3=Kk, and obtaining the average parameter by calculating the offset average value Kk of the m parameter sets.
5. The INSAR-based surface deformation monitoring system as set forth in claim 4, wherein: and randomly extracting the position distance between the characteristic points of the real-time image information in any two parameter sets in the m parameter sets to be larger than the preset distance.
6. The INSAR-based surface deformation monitoring system as set forth in claim 1, wherein: the specific processing process of the weather warning information is as follows; extracting the acquired weather information of the monitored area, wherein the weather information of the monitored area comprises average rainfall information and average wind power information within a preset time period of the monitored area;
when the average precipitation information is larger than a preset value, extracting the day information larger than the average precipitation information, and when the day information larger than the average precipitation information exceeds the preset day, generating weather warning information;
when the average wind power size information is larger than the preset wind power level, extracting the number of days information larger than the average wind power size information, and when the number of days information larger than the average wind power size information exceeds the preset number of days, generating weather warning information.
7. The INSAR-based surface deformation monitoring system as set forth in claim 1, wherein: the position evaluation information comprises position normal information, position general information and position abnormal information, and the specific processing process of the position evaluation information is as follows: the method comprises the steps of extracting collected position information of a monitored place, importing the position information of the monitored place into the Internet, obtaining distance information of human activities closest to the position of the monitored place from the Internet, marking the distance information as an evaluation distance T, wherein the human activity information comprises mining and oilfield exploitation, generating position normal information when the evaluation distance T is larger than a preset value, generating position general information when the evaluation distance T is within a preset distance range, and generating position abnormal information when the evaluation distance T is smaller than the preset value.
8. The INSAR-based surface deformation monitoring system as set forth in claim 1, wherein: the specific process of the laser scanning module for obtaining the laser scanning information by scanning the monitored area is as follows: scanning the surface of the monitored land by a ground three-dimensional laser scanning system at preset intervals to form three-dimensional coordinate data of a preset number of points, namely obtaining laser scanning information, wherein the specific processing process of the laser scanning abnormal information is as follows: collecting laser scanning information once at preset time intervals, collecting the laser scanning information once again, extracting three-dimensional coordinate data of a preset number of points in the laser scanning information collected twice, calculating the position distance difference between the three-dimensional coordinate data of the same position, and generating laser scanning abnormal information when the position distance difference is larger than a warning value.
9. The INSAR-based surface deformation monitoring system as set forth in claim 1, wherein: the surface deformation monitoring system randomly selects any two modes in the preset collection library to collect and process measured comprehensive collection data when the image evaluation information is three-level image evaluation information, and synchronously generates deformation warning information to send when the processed result is still deformation of the surface, and generates manual examination information to carry out manual examination when the processed result is still deformation of the surface.
10. A method of monitoring surface deformation based on INSAR technology, the method being based on the monitoring system of any one of claims 1-9, the method comprising the steps of:
step one: extracting ground surface deformation information of a target area based on a time sequence INSAR sedimentation monitoring model by an INSAR monitoring module, extracting average deformation rate, historical deformation information and three-dimensional position information of each point of the target area according to the ground surface deformation information, carrying out position identification on each point of the target area according to the three-dimensional position information, carrying out deformation identification on each point according to the average deformation rate to obtain sedimentation space-time distribution characteristics of the target area, inputting the historical deformation information into a deformation multi-angle analysis model to obtain deformation mechanism information of the target area, and carrying out monitoring and early warning on ground surface deformation trend of the target area according to the deformation mechanism information, the sedimentation space-time distribution characteristics and the three-dimensional position identification to obtain monitoring and early warning information;
step two: collecting real-time image information of the monitored area, weather information of the monitored area and position information of the monitored area;
step three: processing the real-time image information of the monitored area to generate image evaluation information, processing the real-time weather information to generate weather warning information, and processing the position information of the monitored area to obtain position evaluation information;
step four: then, carrying out laser scanning on the monitored area to obtain laser scanning information, and acquiring surface data through an acquisition mode in a preset acquisition library to obtain comprehensive acquisition data;
step five: the laser scanning information is processed to obtain laser scanning abnormal information, and the comprehensively collected data is processed to generate deformation warning information or manual examination information.
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