Microscale deformation monitoring system based on interferometric synthetic aperture radar

Abstract

The invention relates to the technical field of interferometric synthetic aperture radars, and discloses an interferometric synthetic aperture radar-based micro-scale deformation monitoring system, which comprises a data acquisition module, a deformation analysis module and a monitoring and early warning module, and is characterized in that the data acquisition module comprises a data acquisition unit, a data preprocessing unit and a data error early warning unit; the deformation analysis module comprises a first analysis unit, a second analysis unit and a comprehensive analysis unit. According to the system, deformation quantities of a plurality of different point locations of a target location are acquired through an interferometric synthetic aperture radar, physical environment factors in a data acquisition process are acquired at the same time, an error influence coefficient is obtained through analysis, and an overall deformation coefficient is calculated based on the deformation quantities of the different point locations of the target location; the overall deformation trend is calculated based on the deformation quantities of different point locations of the target location, the comprehensive risk coefficient is obtained through comprehensive calculation, the micro-scale deformation risk of the target point location is judged, interference of environment and physical factors on data is reduced, and analysis accuracy is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of interferometric synthetic aperture radar, and specifically to a micro-scale deformation monitoring system based on interferometric synthetic aperture radar. Background Art

[0002] Interferometric synthetic aperture radar can obtain three-dimensional topographic maps of the Earth's surface with high spatial resolution and elevation accuracy all-weather and all-day. Using the information of the three-dimensional topographic maps, the changes of the Earth's land surface and ice surface can be monitored, disasters such as earthquakes, volcanic eruptions, landslides and floods can be predicted, help can be provided for the production of agriculture, forestry, fishery, etc., and information support can be provided for various activities. In short, the three-dimensional topographic maps obtained by using interferometric synthetic aperture radar have important application values and wide application fields; Although there are various foreign actual data resources available for use, their main uses are to promote the signal processing research of interferometric synthetic aperture radar. At present, China is in the research and development stage of interferometric synthetic aperture radar systems, and is more concerned about system-level problems, such as: overall parameter selection, system performance evaluation, system error analysis and compensation, etc. A simulation system with high fidelity and high efficiency will provide a powerful tool for the overall design of the system. The flexibility and controllability of the simulation can facilitate the comparative tests of different system schemes, can provide a basis for correcting the theoretical analysis model of the system, and can provide rich and targeted data sources for signal processing research. For interferometric synthetic aperture radar systems, the prior art does not consider that errors caused by small meteorological environments may lead to inaccurate deformation detection data of dams or bridges. Summary of the Invention

[0003] Aiming at the deficiencies of the prior art, the present invention provides a micro-scale deformation monitoring system based on interferometric synthetic aperture radar, which has the advantages of accurate monitoring, etc., and solves the above technical problems.

[0004] To achieve the above object, the present invention provides the following technical solution: A micro-scale deformation monitoring system based on interferometric synthetic aperture radar, including a data acquisition module, a deformation analysis module and a monitoring and warning module; The data acquisition module includes a data acquisition unit, a data preprocessing unit and a data error warning unit. The data acquisition unit acquires the deformation amounts of several different points at the target location through an interferometric synthetic aperture radar. The data preprocessing unit is used to preprocess the data acquired by the data acquisition unit and screen out interference. The data error warning unit comprehensively analyzes the screening process in the data preprocessing unit to obtain an error influence coefficient, and sends the error influence coefficient to the monitoring and warning module; The monitoring and warning module includes an error warning unit, and the error warning unit determines whether to give a warning based on the error influence coefficient; The deformation analysis module is connected to the data acquisition module for data communication. The deformation analysis module includes a first analysis unit, a second analysis unit, and a comprehensive analysis unit. The first analysis unit calculates the overall deformation coefficient based on the deformation amounts at different points of the target location. The second analysis unit calculates the overall deformation trend based on the deformation amounts at different points of the target location. The comprehensive analysis unit comprehensively calculates the comprehensive risk coefficient based on the overall deformation coefficient and the overall deformation trend. The monitoring and early warning module further includes a comprehensive risk early warning unit and a dispatching unit. The comprehensive risk early warning unit determines whether to issue an early warning based on the comprehensive risk coefficient. The dispatching unit is called when the comprehensive risk unit issues an early warning and performs personnel dispatching.

[0005] As a preferred technical solution of the present invention, the specific expression for the data acquisition unit to collect the deformation amounts at several different points of the target location is as follows: ; Wherein, represents the point dataset, respectively represent the deformation amounts of the 1st target point collected, , the deformation amount of the th target point, the deformation amount of the .

[0006] As a preferred technical solution of the present invention, the specific steps for the data preprocessing unit to preprocess the data collected by the data acquisition unit and screen out interference are as follows: Step A1: Obtain the atmospheric error similarity coefficient ; Step A2: Obtain the interferometric synthetic aperture radar noise error coefficient ; Step A3: Based on the atmospheric error similarity coefficient in Step A1 and the interferometric synthetic aperture radar noise error coefficient in Step A2, construct the error influence coefficient , and the specific expression is as follows: Wherein, and respectively represent weight coefficients whose sum is 1, represents the error influence coefficient, represents the atmospheric error similarity coefficient, represents the interferometric synthetic aperture radar noise error coefficient.

[0007] As a preferred technical solution of the present invention, in Step A1 to obtain the atmospheric error similarity coefficient The specific steps are as follows: Step A1.1: Obtain real-time meteorological monitoring data through a ground meteorological station. The meteorological monitoring data includes water vapor content and temperature; Step A1.2: Calculate the atmospheric error similarity coefficient based on the real-time meteorological monitoring data obtained by the ground meteorological station The specific expression is as follows: ; Wherein, represents the atmospheric error similarity coefficient, represents the maximum water vapor content that does not affect the detection accuracy of the interferometric synthetic aperture radar, represents the water vapor content sampled at time represents the water vapor content sampled at time t, represents the absolute value of represents the temperature sampled at time t, represents the temperature sampled at time t-1.

[0008] As a preferred technical solution of the present invention, the specific steps for the step A2 to obtain the interferometric synthetic aperture radar noise error coefficient are as follows: Step A2.1: Obtain the electrical interference coefficient during the shooting process of the interferometric synthetic aperture radar, including the signal-to-noise ratio; Step A2.2: Calculate the interferometric synthetic aperture radar noise error coefficient based on the signal-to-noise ratio obtained in step A2.1 The specific expression is as follows: ; Wherein, represents the signal-to-noise ratio, represents the interferometric synthetic aperture radar noise error coefficient.

[0009] As a preferred technical solution of the present invention, the specific steps for the error warning unit to judge whether to give a warning based on the error influence coefficient are: when the error influence coefficient exceeds the error influence threshold , give a warning, and store the deformation amounts and the error influence coefficient of all points in the point position data set correspondingly, and terminate the subsequent work. When the error influence coefficient does not exceed the error influence threshold , terminate the error warning unit.

[0010] As a preferred technical solution of the present invention, the specific expression for the first analysis unit to calculate the overall deformation coefficient based on the deformation amounts of different points at the target location is as follows: ; Among them, represents the overall deformation coefficient, represents the maximum value of the point position data set of, represents a total of The sum of the deformations of the target point positions is calculated.

[0011] As a preferred technical solution of the present invention, the specific expression for calculating the overall deformation trend by the second analysis unit based on the deformations of different point positions at the target location is as follows: ; Among them, represents the overall deformation trend, represents a total of The sum of the deformations of the target point positions is calculated, represents the deformation of the previous target point position, represents the sum of the deformations of the target point positions sampled last time.

[0012] As a preferred technical solution of the present invention, the specific expression for calculating the comprehensive risk coefficient by the comprehensive analysis unit based on the overall deformation coefficient and the overall deformation trend is as follows: ; Among them, represents the overall deformation coefficient, represents the overall deformation trend, represents the comprehensive risk coefficient, represents the natural constant, represents the logarithmic function with the natural constant as the base.

[0013] As a preferred technical solution of the present invention, the specific steps for the comprehensive risk warning unit to determine whether to give a warning based on the comprehensive risk coefficient are: when the comprehensive risk coefficient exceeds the comprehensive risk threshold , give a warning and call the scheduling unit. When the comprehensive risk coefficient does not exceed the comprehensive risk threshold , do not give a warning; The scheduling unit is called when the comprehensive risk unit issues a warning, and the specific strategy for performing personnel scheduling is to prioritize personnel scheduling by distance.

[0014] Compared with the prior art, the present invention provides a micro-scale deformation monitoring system based on an interferometric synthetic aperture radar, having the following beneficial effects: The present invention collects the deformation amounts of several different points at the target location through an interferometric synthetic aperture radar, simultaneously obtains the physical environment factors during the data collection process, and conducts comprehensive analysis to obtain the error influence coefficient. At the same time, the overall deformation coefficient is calculated based on the deformation amounts of different points at the target location, the overall deformation trend is calculated based on the deformation amounts of different points at the target location, and the comprehensive risk coefficient is comprehensively calculated, so as to judge the micro-scale deformation risk of the target point, and reduce the interference of the environment and physical factors on the data, ensuring the accuracy of the analysis. Brief Description of the Drawings

[0015] Figure 1 It is a schematic diagram of the system framework of the present invention. Detailed Embodiment

[0016] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0017] Please refer to Figure 1 , a micro-scale deformation monitoring system based on an interferometric synthetic aperture radar, including a data acquisition module, a deformation analysis module, and a monitoring and warning module; The data acquisition module includes a data acquisition unit, a data preprocessing unit, and a data error warning unit. The data acquisition unit collects the deformation amounts of several different points at the target location through an interferometric synthetic aperture radar. The data preprocessing unit is used to preprocess the data collected by the data acquisition unit and screen out interference. The data error warning unit comprehensively analyzes the screening process in the data preprocessing unit to obtain the error influence coefficient, and sends the error influence coefficient to the monitoring and warning module; The specific expression for the data acquisition unit to collect the deformation amounts of several different points at the target location is as follows: ; Among them, represents the point position data set, respectively represent the deformation amounts of the 1st target point position collected, , the deformation amount of the th target point position, , the deformation amount of the th target point position,

[0018] The specific steps for the data preprocessing unit to preprocess the data collected by the data acquisition unit and screen out interference are as follows: Step A1: Obtain the atmospheric error similarity coefficient ; Step A1: Obtain the atmospheric error similarity coefficient The specific steps are as follows: Step A1.1: Obtain real-time meteorological monitoring data through a ground meteorological station. The meteorological monitoring data includes water vapor content and temperature; Step A1.2: Calculate the atmospheric error similarity coefficient based on the real-time meteorological monitoring data obtained by the ground meteorological station The specific expression is as follows: ; Among them, represents the atmospheric error similarity coefficient, represents the maximum water vapor content that does not affect the detection accuracy of the interferometric synthetic aperture radar, represents the water vapor content sampled at time represents the water vapor content sampled at time t, represents the absolute value of represents the temperature sampled at time t, represents the temperature sampled at time t - 1; Step A2: Obtain the interferometric synthetic aperture radar noise error coefficient ; Step A2: Obtain the interferometric synthetic aperture radar noise error coefficient The specific steps are as follows: Step A2.1: Obtain the electrical interference coefficient during the shooting process of the interferometric synthetic aperture radar, including the signal-to-noise ratio; Step A2.2: Calculate the interferometric synthetic aperture radar noise error coefficient based on the signal-to-noise ratio obtained in Step A2.1 The specific expression is as follows: ; Among them, represents the signal-to-noise ratio, represents the interferometric synthetic aperture radar noise error coefficient; Step A3: Based on the atmospheric error similarity coefficient in Step A1 and the interferometric synthetic aperture radar noise error coefficient in Step A2, construct the error influence coefficient The specific expression is as follows: Among them, and respectively represent weight coefficients whose sum is 1, represents the error influence coefficient, represents the atmospheric error similarity coefficient, Represents the noise error coefficient of the interferometric synthetic aperture radar; The monitoring and early warning module includes an error early warning unit. The error early warning unit determines whether to give an early warning based on the error influence coefficient. The specific steps for the error early warning unit to determine whether to give an early warning are as follows: When the error influence coefficient exceeds the error influence threshold an early warning is given, and the deformation amounts and error influence coefficients of all points in the point dataset are stored correspondingly, and subsequent work is terminated. When the error influence coefficient does not exceed the error influence threshold the error early warning unit is terminated; The deformation analysis module is connected to the data acquisition module. The deformation analysis module includes a first analysis unit, a second analysis unit, and a comprehensive analysis unit. The first analysis unit calculates the overall deformation coefficient based on the deformation amounts of different points at the target location. The second analysis unit calculates the overall deformation trend based on the deformation amounts of different points at the target location. The comprehensive analysis unit comprehensively calculates the comprehensive risk coefficient based on the overall deformation coefficient and the overall deformation trend, thereby judging the micro-scale deformation risk of the target point, and reducing the interference of environmental and physical factors on the data, ensuring the accuracy of the analysis; The specific expression for the first analysis unit to calculate the overall deformation coefficient based on the deformation amounts of different points at the target location is as follows: ; where, represents the overall deformation coefficient, represents the maximum value of the point dataset , represents the sum of the deformation amounts of a total of target points. The specific expression for the second analysis unit to calculate the overall deformation trend based on the deformation amounts of different points at the target location is as follows: ; where, represents the overall deformation trend, represents the sum of the deformation amounts of a total of target points, represents the deformation amount of the previous th target point, represents the sum of the deformation amounts of the previous sampled target points. The specific expression for the comprehensive analysis unit to comprehensively calculate the comprehensive risk coefficient based on the overall deformation coefficient and the overall deformation trend is as follows: ; where, represents the overall deformation coefficient, Indicates the overall deformation trend, Indicates the comprehensive risk coefficient, Indicates the natural constant, Indicates the logarithmic function with the natural constant as the base; The monitoring and early warning module further includes a comprehensive risk early warning unit and a dispatching unit. The comprehensive risk early warning unit determines whether to issue an early warning based on the comprehensive risk coefficient. The dispatching unit is called when the comprehensive risk unit issues an early warning and performs personnel dispatching.

[0019] The specific steps for the comprehensive risk early warning unit to determine whether to issue an early warning based on the comprehensive risk coefficient are as follows: When the comprehensive risk coefficient exceeds the comprehensive risk threshold , an early warning is issued and the dispatching unit is called. When the comprehensive risk coefficient does not exceed the comprehensive risk threshold , no early warning is issued; The specific strategy for the dispatching unit to be called when the comprehensive risk unit issues an early warning and perform personnel dispatching is to prioritize personnel dispatching by distance.

[0020] Example 1: During this implementation process, the atmospheric error similarity coefficient and the interferometric synthetic aperture radar noise error coefficient The data involved are shown in Table 1 below: Table 1 ; ; At this time, the calculated , at this time it exceeds , the deformation amounts and error influence coefficients of all points in the point position data set are stored correspondingly, and subsequent work is terminated, and an early warning is issued, waiting for the next cycle day for sampling; Example 2: During this implementation process is within the range and not shown, , at this time, the deformation amounts of several different points obtained by the deformation analysis module. In this application, all deformation amounts are the results after absolute value processing, specifically 20 corresponding points, as shown in Table 2 below: Table 2 ; At this time, the calculated , , , exceeds the comprehensive risk threshold , at this time, personnel scheduling is prioritized by distance to conduct a secondary survey of the on-site environment and take corresponding measures, so as to accurately estimate the risk situation of the corresponding area; This embodiment only gives a feasible solution and does not represent the optimal solution. The setting of the threshold size is for the convenience of comparison. Regarding the size of the threshold, it depends on the amount of sample data and the base quantity set by those skilled in the art for each group of sample data; as long as the proportional relationship between the parameter and the quantified value is not affected, and the size of the weight can be determined by those skilled in the art based on each sample data and multiple rounds of experimental processes; Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A micro-scale deformation monitoring system based on interferometric synthetic aperture radar, characterized by: Including data acquisition module, deformation analysis module and monitoring and early warning module; The data acquisition module includes a data acquisition unit, a data preprocessing unit and a data error warning unit. The data acquisition unit collects deformation variables of several different points of the target location through interferometric synthetic aperture radar. The data preprocessing unit is used to preprocess the data collected in the data acquisition unit and filter out interference. The data error warning unit obtains an error influence coefficient based on a comprehensive analysis of the screening process in the data preprocessing unit, and sends the error influence coefficient to the monitoring and warning module; The monitoring and early warning module includes an error early warning unit, which determines whether to issue an early warning based on the error influence coefficient; The deformation analysis module is data-connected to the data acquisition module. The deformation analysis module includes a first analysis unit, a second analysis unit and a comprehensive analysis unit. The first analysis unit calculates the overall deformation coefficient based on the deformation variables at different points of the target location. The second analysis unit calculates the overall deformation trend based on the deformation variables at different points of the target location. The comprehensive analysis unit calculates the comprehensive risk coefficient based on the overall deformation coefficient and the overall deformation trend. The monitoring and early warning module also includes a comprehensive risk early warning unit and a scheduling unit. The comprehensive risk early warning unit determines whether to issue an early warning based on the comprehensive risk coefficient. The scheduling unit is called when the comprehensive risk unit issues an early warning and executes personnel scheduling.

2. The micro-scale deformation monitoring system based on interferometric synthetic aperture radar according to claim 1 is characterized in that: The specific expression of the data acquisition unit for collecting the deformation variables of several different points of the target location is as follows: ; in, Represents a point data set, Respectively represent the deformation of the first target point collected, , No. The deformation of the target point, , No. The deformation of the target point, .

3. The micro-scale deformation monitoring system based on interferometric synthetic aperture radar according to claim 2 is characterized in that: The data preprocessing unit is used to preprocess the data collected by the data collection unit and filter out interference. The specific steps are as follows: Step A1: Obtain atmospheric error similarity coefficient ; Step A2: Obtaining the Interferometric Synthetic Aperture Radar Noise Error Coefficient ; Step A3: Based on the atmospheric error similarity coefficient in step A1 and the interferometric synthetic aperture radar noise error coefficient in step A2 Construction error influence coefficient , the specific expression is as follows: ; in, and They represent weight coefficients that sum to 1, represents the error influence coefficient, represents the atmospheric error similarity coefficient, represents the noise error coefficient of interferometric synthetic aperture radar.

4. The micro-scale deformation monitoring system based on interferometric synthetic aperture radar according to claim 3 is characterized in that: The step A1 obtains the atmospheric error similarity coefficient The specific steps are as follows: Step A1.1: Obtain real-time meteorological monitoring data from ground meteorological stations, including water vapor content and temperature; Step A1.2: Obtain real-time meteorological monitoring data from ground meteorological stations and calculate the atmospheric error similarity coefficient The specific expression is as follows: ； in, represents the atmospheric error similarity coefficient, It represents the maximum water vapor content that does not affect the detection accuracy of interferometric synthetic aperture radar. express The water vapor content sampled at each moment is represents the water vapor content sampled at time t, express The absolute value of represents the temperature sampled at time t, Represents the temperature sampled at time t-1.

5. The micro-scale deformation monitoring system based on interferometric synthetic aperture radar according to claim 3 is characterized in that: The step A2 obtains the noise error coefficient of the interferometric synthetic aperture radar The specific steps are as follows: Step A2.1: Obtain the electrical interference coefficient during the interferometric synthetic aperture radar shooting process, including the signal-to-noise ratio; Step A2.2: Calculate the noise error coefficient of the interferometric synthetic aperture radar based on the signal-to-noise ratio obtained in step A2.1 The specific expression is as follows: ; in, represents the signal-to-noise ratio, represents the noise error coefficient of interferometric synthetic aperture radar.

6. The micro-scale deformation monitoring system based on interferometric synthetic aperture radar according to claim 3 is characterized in that: The specific steps of the error warning unit judging whether to issue a warning based on the error influence coefficient are as follows: Exceeding the error impact threshold When the alarm is raised, the point data set The deformation variables and error influence coefficients of all points in Perform corresponding storage and terminate subsequent work. When the error affects the coefficient The error impact threshold is not exceeded When , the error warning unit is terminated.

7. The micro-scale deformation monitoring system based on interferometric synthetic aperture radar according to claim 2 is characterized in that: The specific expression of the overall deformation coefficient calculated by the first analysis unit based on the deformation variables at different points of the target location is as follows: ； in, represents the overall deformation coefficient, Represents a point dataset The maximum value of Indicates total The deformation variables of each target point are summed.

8. The micro-scale deformation monitoring system based on interferometric synthetic aperture radar according to claim 7 is characterized in that: The specific expression of the overall deformation trend calculated by the second analysis unit based on the deformation amounts at different points of the target location is as follows: ; in, Indicates the overall deformation trend. Indicates total The deformation variables of the target points are summed up. Indicates the last The deformation of the target point, Indicates the last sampling The deformation variables of each target point are summed.

9. The micro-scale deformation monitoring system based on interferometric synthetic aperture radar according to claim 8, characterized in that: The specific expression of the comprehensive risk coefficient obtained by the comprehensive analysis unit based on the comprehensive calculation of the overall deformation coefficient and the overall deformation trend is as follows: ; in, represents the overall deformation coefficient, Indicates the overall deformation trend. represents the comprehensive risk factor, represents a natural constant, Represents a logarithmic function whose base is a natural constant.

10. The micro-scale deformation monitoring system based on interferometric synthetic aperture radar according to claim 9, characterized in that: The specific steps of the comprehensive risk warning unit to determine whether to issue a warning based on the comprehensive risk coefficient are: Exceeding the comprehensive risk threshold When the comprehensive risk factor is The overall risk threshold is not exceeded No warning is given when The dispatch unit is called when the comprehensive risk unit issues an early warning, and the specific strategy for executing personnel dispatch is to dispatch personnel based on distance as priority.

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