A real-time measurement method for runway subsidence monitoring based on BeiDou and InSAR fusion

Through the fusion method of Beidou and InSAR, the rubber band principle and inverse distance weighting algorithm are used to solve the problem that traditional monitoring methods are difficult to achieve real-time high-precision monitoring in the entire region, and the high-precision and high-resolution real-time monitoring of the airport runway is achieved, ensuring that Data accuracy and continuity and extend the service life of the equipment.

CN118168509BActive Publication Date: 2024-12-06BEIHANG UNIV
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Patent Information

Application Number
CN202410285110.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-03-13
Publication Date
2024-12-06
Estimated Expiration
2044-03-13

AI Technical Summary

Technical Problem

Traditional airport runway monitoring methods are affected by environmental conditions, making it difficult to achieve real-time and high-precision monitoring in the entire region. Moreover, the settlement trends of Beidou and InSAR data are inconsistent, making it impossible to achieve high-precision and high-resolution runway settlement monitoring.

Method used

Using the fusion method based on Beidou and InSAR, Beidou data is corrected through the rubber band principle, high-precision and high-resolution InSAR data are used as the correction source, and combined with the inverse distance weighting algorithm to fuse the time domain continuous Beidou data and spatial continuous InSAR data to achieve Real-time monitoring of runway settlement.

Benefits of technology

Realize high-precision and high-resolution real-time monitoring of the entire airport runway area, solve the problems of data inconsistency and time-time discontinuity, reduce accidental errors, extend the service life of monitoring equipment, and ensure data in areas with unstable signals. continuity.

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Abstract

The present invention discloses a real-time calculation method for runway subsidence monitoring based on Beidou and InSAR fusion, which relates to the field of geological deformation monitoring, and includes the following steps: S1 regularly monitors the airport area, and transmits the monitored Beidou raw data to the cloud server through 5G signal or Beidou short message form; S2 regularly purchases and obtains SAR satellite data from terrsar-X, and stores it in the cloud server; S3 sends the monitored Beidou raw data to the workstation, and stores it in the database after pre-processing the raw data; S4 processes the data in the database, and fuses the time-continuous Beidou monitoring data with the space-continuous InSAR data to obtain real-time airport runway subsidence monitoring data; S5 the workstation stores the processed data in the cloud server; S6 the remote display terminal displays the real-time runway subsidence data remotely by accessing the data of the cloud server. The present invention adopts the above-mentioned calculation method to realize high-precision and high-resolution real-time monitoring of the entire area of ​​the airport runway.
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Description

Technical Field

[0001] The present invention relates to the field of geological deformation monitoring, and in particular to a real-time calculation method for runway settlement monitoring based on Beidou and InSAR fusion. Background Art

[0002] With the rapid development of my country's economy, the urbanization process is also accelerating. Airports play a vital role in promoting the development of the national economy. In the context of rapid urbanization, airports are rapidly added and expanded. During the takeoff and landing of aircraft, the runway will be affected by the impact load, causing ground subsidence, which poses a potential threat to flight safety. Therefore, the safe operation of the airport urgently requires real-time health monitoring of runway subsidence in the entire area.

[0003] Traditional airport runway monitoring mainly uses manual measurement with instruments such as levels, total stations and theodolites. Traditional manual methods are greatly affected by environmental conditions and are limited by requirements such as clearance, accuracy, real-time, and automation. It is difficult to conduct continuous monitoring of a certain point and it is difficult to achieve real-time monitoring and analysis of the entire airport runway area.

[0004] Therefore, it is necessary to provide a real-time measurement method for runway subsidence monitoring based on Beidou and InSAR fusion to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a real-time measurement method for runway subsidence monitoring based on the fusion of Beidou and InSAR, which uses high-precision and high-resolution InSAR data as a correction source to correct Beidou monitoring data, so as to solve the problem that high-precision monitoring of the entire area cannot be achieved in airport subsidence monitoring, and there may be inconsistency between the subsidence trends of Beidou data and InSAR data, thereby realizing real-time monitoring of the entire area of ​​the airport runway with high precision and high resolution.

[0006] To achieve the above object, the present invention provides a real-time measurement method for runway subsidence monitoring based on Beidou and InSAR fusion, comprising the following steps:

[0007] S1: Regularly monitor the airport area and transmit the monitored Beidou raw data to the cloud server via 5G signals or Beidou short messages;

[0008] S2: Regularly purchase SAR satellite data from terrsar-X and store it in the cloud server;

[0009] S3: Send the monitored Beidou raw data to the workstation, pre-process the raw data and store it in the database;

[0010] S4: Process the data in the database, fuse the temporally continuous BeiDou monitoring data with the spatially continuous InSAR data, and obtain real-time airport runway subsidence monitoring data;

[0011] S5: The workstation stores the processed data in the cloud server;

[0012] S6: The remote display terminal accesses the data of the cloud server and displays the real-time runway settlement data remotely.

[0013] Preferably, a timer switch is added in step S1, the device is turned on from 0:00 to 6:00 every day, and data is recorded every half hour.

[0014] Preferably, in step S3, the data preprocessing is performed by True Monitor to analyze, smooth and adjust the data, and then stored in a table in a database, and the influence of accidental errors on data fluctuations is reduced by a time-weighted iterative algorithm;

[0015] The data processed on the day = 0.6 × the result of the previous iteration on the day + 0.4 × the result of the previous day in this iteration.

[0016] Preferably, in step S4, the data in the database are processed, including using the rubber band principle to correct the Beidou monitoring data to solve the data coordination problem when the InSAR and Beidou data are inconsistent at the beginning and end, and to infer the real-time runway settlement distribution through the time-domain continuous Beidou data and the spatially continuous InSAR data.

[0017] Preferably, the rubber band principle is used to correct the Beidou monitoring data so that the Beidou monitoring data is synchronized with the InSAR settlement. The rubber band theory is based on high-precision and high-resolution InSAR data to correct the Beidou monitoring data and solve the data coordination problem of the inconsistent head and tail of the InSAR and Beidou data. It follows the rule of first translating and then stretching, and specifically includes the following steps:

[0018] S41: The translation effect is presented by translating the starting point of the Beidou terminal data to the InSAR point that is consistent with its time.

[0019] S42: Through stretching processing, the translated Beidou data terminal is pulled to the InSAR to achieve visual stretching of the data.

[0020] Preferably, the influence of the points in space on the adjacent points is reduced by an inverse distance weighted algorithm, the inverse of the distance between the interpolation point and a Beidou monitoring point is used as the weighted object, the weighted object is the ratio of the time from the first day to the day of the interpolation point in the InSAR interval adjacent to the interpolation point and the time length of the adjacent InSAR interval, the inverse distance of the Beidou monitoring point, the proportion of the settlement amount up to the day to the total settlement is used as the weighted object, the InSAR is encrypted in the blank time domain, and the real-time settlement distribution map of the runway is obtained;

[0021]

[0022]

[0023] In the above formula, d i It represents the distance between a Beidou monitoring point and the interpolation point in the problem. u is the weight coefficient, and the empirical value is 2. i It is the total amount of subsidence at a Beidou monitoring point within the time period; is the cumulative subsidence of a BeiDou monitoring point from the last InSAR segment to time p; R i is the ratio of the cumulative settlement of a Beidou monitoring point from the last InSAR interval to time p to the difference in settlement in this interval; z is the total settlement during the adjacent InSAR intervals, z p is the settlement of the interpolation point up to time p.

[0024] Preferably, the monitoring includes a BeiDou monitoring part and an InSAR monitoring part;

[0025] The Beidou monitoring part includes positioning module, data transmission module, power supply module and protection module;

[0026] The positioning module consists of a GNSS monitoring receiver and a Beidou positioning antenna;

[0027] The data transmission module consists of DTU, short message device, 5G antenna and timing switch;

[0028] The power supply module consists of solar panels, solar charge and discharge controllers and batteries;

[0029] The protection module consists of an underground box and a bracket.

[0030] Therefore, the present invention adopts the above-mentioned real-time measurement method for runway subsidence monitoring based on Beidou and InSAR fusion, which has the following beneficial effects:

[0031] (1) In data processing, the rubber band principle of the present invention can retain the law of Beidou data deformation to the greatest extent under the condition of data first echo. Due to different data acquisition methods, there must be deviations between the data, that is, there is inconsistency between Beidou and InSAR data. According to the characteristics of InSAR high precision and high spatial resolution, the rubber band principle is used to correct Beidou data so that the sedimentation trends of Beidou and InSAR data are consistent.

[0032] (2) In terms of data fusion, the present invention fuses the time-domain continuous Beidou data and the spatially continuous InSAR data according to the inverse distance weighted average algorithm to deduce the real-time settlement distribution map of the airport runway, thereby solving the problem of the temporal and spatial discontinuity of the settlement data and being closer to the actual settlement situation.

[0033] (3) The present invention considers a time-based weighted iterative algorithm in Beidou data preprocessing. The data processed on a certain day = 0.6×the result of the previous iteration of this day + 0.4×the result of the previous day in this iteration. This reduces the impact of accidental errors on the fluctuation of measurement data and allows the data to reflect the trend of point changes to the greatest extent.

[0034] (4) In data collection, the present invention does not need to keep the airport settlement monitoring device on all day because the deformation speed of the airport is slow. Keeping the device on all day will reduce the service life of the device and cause signal interference to the aircraft navigation process. By adding a timer switch, the deformation data of the airport can be obtained at a fixed time period every day. This reduces the power consumption of the device and achieves long-term stability of the monitoring equipment.

[0035] (5) In terms of data transmission, the present invention adopts two transmission methods, 5G signal and Beidou short message. In some areas such as landfill airports and reclamation airports that may affect signal instability, Beidou short message transmission method is adopted in time to ensure the continuity of monitoring data.

[0036] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is a method flow chart of the data processing algorithm in the present invention;

[0038] Figure 2 It is the principle diagram of the monitoring device in the present invention;

[0039] Figure 3 are three possible graphs of heterogeneous data simulated in the rubber band theory of the present invention;

[0040] Figure 4 It is a schematic diagram of the steps of implementing the rubber band theory in the present invention;

[0041] Figure 5 This is the Beidou InSAR fusion estimation map in the present invention. DETAILED DESCRIPTION

[0042] The technical solution of the present invention is further described below through the accompanying drawings and embodiments.

[0043] Unless otherwise defined, technical or scientific terms used in the present invention shall have the common meanings understood by one having ordinary skills in the field to which the present invention belongs.

[0044] The words "include" or "comprises" and the like used in the present invention mean that the elements before the word include the elements listed after the word, and do not exclude the possibility of also including other elements. The orientation or position relationship indicated by the terms "inside", "outside", "upper", "lower", etc. is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation of the present invention. When the absolute position of the described object changes, the relative position relationship may also change accordingly. In the present invention, unless otherwise clearly specified and limited, the terms "attachment" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral body; it can be directly connected, or indirectly connected through an intermediate medium, and it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0045] Example

[0046] like Figure 1-Figure 2 As shown, the present invention provides a real-time measurement method for runway subsidence monitoring based on Beidou and InSAR fusion, comprising the following steps:

[0047] S1: Regularly monitor the airport area and transmit the monitored Beidou raw data to the cloud server via 5G signals or Beidou short messages to ensure the continuity of the monitoring data. In step S1, add a timer switch to turn on the equipment from 0:00 to 6:00 every day, record data every half an hour, reduce the power consumption of the device, and thus achieve long-term stability of the monitoring equipment.

[0048] S2: Regularly purchase SAR satellite data from terrsar-X and store it in the cloud server;

[0049] S3: Send the monitored Beidou raw data to the workstation, pre-process the raw data and store it in the database; in step S3, the data pre-processing is performed by True Monitor to analyze, smooth and adjust the data, and then store it in a table in the database. The time-weighted iterative algorithm is used to reduce the impact of accidental errors on data fluctuations;

[0050] The data processed on the day = 0.6 × the result of the previous iteration on the day + 0.4 × the result of the previous day in this iteration.

[0051] S4: Process the data in the database, fuse the time-continuous Beidou monitoring data with the spatially continuous InSAR data, and obtain real-time airport runway settlement monitoring data; In step S4, process the data in the database, including using the rubber band principle to correct the Beidou monitoring data to solve the data coordination problem when the InSAR and Beidou data are inconsistent at the beginning and end, and infer the real-time runway settlement distribution through the time-domain continuous Beidou data and the spatially continuous InSAR data.

[0052] The rubber band principle is used to correct the BeiDou monitoring data so that the BeiDou monitoring data is synchronized with the InSAR sedimentation, such as Figure 3 As shown in the figure, the rubber band theory is based on high-precision and high-resolution InSAR data to correct Beidou monitoring data, solve the data coordination problem of inconsistent InSAR and Beidou data, and follow the rule of translation first and then stretching. Specifically, it includes the following steps: Figure 4 As shown:

[0053] S41: The translation effect is presented by translating the starting point of the Beidou terminal data to the InSAR point that is consistent with its time.

[0054] S42: Through stretching processing, the translated Beidou data terminal is pulled to the InSAR to achieve visual stretching of the data.

[0055] Through the inverse distance weighted algorithm, the influence of adjacent points on the spatial points is reduced, and the real-time settlement map of the airport runway is calculated. Figure 5 As shown in the figure, the inverse of the distance between the interpolation point and a Beidou monitoring point is taken as the weighted object, and the weighted object is the ratio of the time from the first day to the day of the interpolation point in the InSAR interval adjacent to the interpolation point and the time length of the adjacent InSAR interval. The inverse distance of the Beidou monitoring point, the proportion of the settlement amount up to the day to the total settlement is taken as the weighted object, and the InSAR is encrypted in the blank time domain to obtain the real-time settlement distribution map of the runway;

[0056]

[0057]

[0058] In the above formula, d i It represents the distance between a Beidou monitoring point and the interpolation point in the problem. u is the weight coefficient, and the empirical value is 2. i It is the total amount of subsidence at a Beidou monitoring point within the time period; is the cumulative subsidence of a BeiDou monitoring point from the last InSAR segment to time p; R i is the ratio of the cumulative settlement of a Beidou monitoring point from the last InSAR interval to time p to the difference in settlement in this interval; z is the total settlement during the adjacent InSAR intervals, z p is the settlement of the interpolation point up to time p.

[0059] S5: The workstation stores the processed data in the cloud server;

[0060] S6: The remote display terminal accesses the data of the cloud server and displays the real-time runway settlement data remotely.

[0061] The monitoring includes BeiDou monitoring part and InSAR monitoring part;

[0062] The Beidou monitoring part includes positioning module, data transmission module, power supply module and protection module;

[0063] The positioning module consists of a GNSS monitoring receiver and a Beidou positioning antenna;

[0064] The data transmission module consists of DTU, short message device, 5G antenna and timing switch;

[0065] The power supply module consists of solar panels, solar charge and discharge controllers and batteries;

[0066] The protection module consists of an underground box and a bracket.

[0067] Therefore, the present invention adopts the above-mentioned real-time measurement method for runway subsidence monitoring based on Beidou and InSAR fusion, and uses high-precision and high-resolution InSAR data as a correction source to correct Beidou monitoring data, so as to solve the problem that high-precision monitoring of the entire area cannot be achieved in airport subsidence monitoring, and there may be inconsistency between the subsidence trends of Beidou data and InSAR data, thereby realizing real-time monitoring of the entire area of ​​the airport runway with high precision and high resolution.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. A real-time measurement method for runway subsidence monitoring based on Beidou and InSAR fusion, characterized by: The following steps are involved: S1: Regularly monitor the airport area and transmit the monitored Beidou raw data to the cloud server via 5G signals or Beidou short messages; S2: Regularly purchase SAR satellite data from terrsar-X and store it in the cloud server; S3: Send the monitored Beidou raw data to the workstation, pre-process the raw data and store it in the database; In step S3, the data preprocessing is performed by True Monitor to analyze, smooth and adjust the data, and then stored in a table in the database. The time-weighted iterative algorithm is used to reduce the impact of accidental errors on data fluctuations. The data processed on the day = 0.6 × the result of the previous iteration on the day + 0.4 × the result of the previous day in this iteration; S4: Process the data in the database, fuse the temporally continuous BeiDou monitoring data with the spatially continuous InSAR data, and obtain real-time airport runway subsidence monitoring data; In step S4, the data in the database are processed, including using the rubber band principle to correct the Beidou monitoring data to solve the data coordination problem when the InSAR and Beidou data are inconsistent at the beginning and end, and to infer the real-time runway settlement distribution through the time-domain continuous Beidou data and the spatially continuous InSAR data; The rubber band principle is used to correct Beidou monitoring data so that Beidou monitoring data is synchronized with InSAR settlement. The rubber band theory is based on high-precision and high-resolution InSAR data to correct Beidou monitoring data and solve the data coordination problem of inconsistent InSAR and Beidou data. It follows the rule of translation first and then stretching. Specifically, it includes the following steps: S41: The translation effect is presented by translating the starting point of the Beidou terminal data to the InSAR point that is consistent with its time. S42: Through stretching processing, the translated Beidou data terminal is pulled to the InSAR to achieve visual stretching of the data; S5: The workstation stores the processed data in the cloud server; S6: The remote display terminal accesses the data of the cloud server and displays the real-time runway settlement data remotely.

2. The real-time measurement method for runway subsidence monitoring based on BeiDou and InSAR fusion according to claim 1 is characterized in that: In step S1, a timer switch is added to turn on the device from 0:00 to 6:00 every day, and data is recorded every half hour.

3. The real-time measurement method for runway subsidence monitoring based on BeiDou and InSAR fusion according to claim 1 is characterized in that: Through the inverse distance weighted algorithm, the influence of the points in space on the adjacent points is reduced. The inverse of the distance between the interpolation point and a Beidou monitoring point is used as the weighted object. The weighted object is the ratio of the time from the first day to the day of the interpolation point in the InSAR interval adjacent to the interpolation point and the time length of the adjacent InSAR interval. The inverse distance of the Beidou monitoring point, the proportion of the settlement amount up to the day to the total settlement is used as the weighted object, and the InSAR is encrypted in the blank time domain to obtain the real-time runway settlement distribution map. In the above formula, d i It represents the distance between a Beidou monitoring point and the interpolation point in the problem. u is the weight coefficient, and the empirical value is 2. i It is the total amount of subsidence at a Beidou monitoring point within the time period; is the cumulative subsidence of a BeiDou monitoring point from the last InSAR segment to time p; R i is the ratio of the cumulative subsidence at a Beidou monitoring point from the last InSAR interval to time p to the difference in subsidence in this interval; z is the total amount of precipitation during the adjacent interval of the InSAR. p is the settlement of the interpolation point up to time p.

4. The real-time measurement method for runway subsidence monitoring based on Beidou and InSAR fusion according to claim 1 is characterized in that: The monitoring includes BeiDou monitoring part and InSAR monitoring part; The Beidou monitoring part includes positioning module, data transmission module, power supply module and protection module; The positioning module consists of a GNSS monitoring receiver and a Beidou positioning antenna; The data transmission module consists of DTU, short message device, 5G antenna and timing switch; The power supply module consists of solar panels, solar charge and discharge controllers and batteries; The protection module consists of an underground box and a bracket.