CN116124052A

CN116124052A - Bridge comprehensive deformation monitoring system and method

Info

Publication number: CN116124052A
Application number: CN202310191665.4A
Authority: CN
Inventors: 马俊; 郑洪�; 彭利辉; 曹成度; 姚洪锡; 钟晶; 储诚诚; 高华; 胡晓斌; 费亮; 胡玉雷; 郑跃; 袁辉; 柏华军; 夏旺; 周吕
Original assignee: China Railway Siyuan Survey and Design Group Co Ltd
Current assignee: China Railway Siyuan Survey and Design Group Co Ltd
Priority date: 2023-03-02
Filing date: 2023-03-02
Publication date: 2023-05-16

Abstract

The invention belongs to the field of bridge monitoring, and discloses a bridge comprehensive deformation monitoring system and method. The method comprises the following steps: the Beidou monitoring module acquires Beidou satellite data, determines target position positioning information of the bridge to be monitored according to the Beidou satellite data, and sends the target position positioning information to the information processing module; the foundation radar interference monitoring module acquires bridge deformation data, determines deformation time sequence information of a bridge to be monitored according to the bridge deformation data, and sends the deformation time sequence information to the information processing module; the method comprises the steps that a satellite-borne settlement monitoring module obtains satellite-borne data of a bridge to be monitored, geographic deformation map information is determined according to the satellite-borne data, and the geographic deformation map information is sent to an information processing module; and the information processing module determines deformation settlement monitoring information of the bridge to be monitored according to the target part positioning information, the deformation time sequence information and the geographic deformation map information. By the mode, the deformation monitoring precision of bridges and surrounding areas is improved.

Description

Bridge comprehensive deformation monitoring system and method

Technical Field

The invention relates to the technical field of bridge monitoring, in particular to a system and a method for monitoring comprehensive deformation of a bridge.

Background

The bridge is used as an important connection hub for land traffic, the traffic flow and the traffic flow are more, particularly, the railway bridge has complex monitoring environment, satellite signals are easily interfered by the bridge monitoring environment, the number of observable satellites is reduced, the dynamic multipath effect is caused, and the positioning precision is low in a real-time positioning mode; the current bridge monitoring device can be provided with a GNSS monitoring system: with this technique, deformation of the site is monitored where it is easy to install. Deflection meter: the instrument is generally installed in the middle span of the bridge and is used for specially monitoring the deformation of the middle span of the bridge in the vertical direction of the central axis of the bridge. A displacement sensor: the device is arranged on the bridge track and at two ends of the bridge and is used for monitoring the displacement condition of the high-speed railway bridge track plate and the longitudinal expansion condition of the bridge. But there is also an error in the amount of deformation thus measured. The above factors reduce the accuracy and reliability of bridge deformation sequences.

The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.

Disclosure of Invention

The invention mainly aims to provide a system and a method for monitoring comprehensive deformation of a bridge, and aims to solve the technical problem of low deformation monitoring precision of the bridge and surrounding areas in the prior art.

In order to achieve the above object, the present invention provides a bridge integrated deformation monitoring system, comprising:

the system comprises a Beidou monitoring module, a foundation radar interference monitoring module, a satellite-borne settlement monitoring module and an information processing module, wherein the Beidou monitoring module, the foundation radar interference monitoring module and the satellite-borne settlement monitoring module are respectively connected with the information processing module;

the Beidou monitoring module is used for acquiring Beidou satellite data, determining target position positioning information of the bridge to be monitored according to the Beidou satellite data, and sending the target position positioning information to the information processing module;

the foundation radar interference monitoring module is used for acquiring bridge deformation data, determining deformation time sequence information of the bridge to be monitored according to the bridge deformation data, and sending the deformation time sequence information to the information processing module;

the satellite-borne settlement monitoring module is used for acquiring satellite-borne data of the bridge to be monitored, determining geographic deformation map information according to the satellite-borne data, and sending the geographic deformation map information to the information processing module;

the information processing module is used for determining deformation settlement monitoring information of the bridge to be monitored according to the target part positioning information, the deformation time sequence information and the geographic deformation map information.

Optionally, the beidou monitoring module comprises: the system comprises a signal receiving module, a positioning resolving module and a wireless communication module;

the signal receiving module is used for acquiring Beidou satellite data of a Beidou satellite;

the positioning calculation module is used for calculating and obtaining the positioning information of the target part of the bridge to be monitored according to the Beidou satellite data;

the wireless communication module is used for sending the target part positioning information to the information processing module.

Optionally, the positioning resolving module is further configured to determine a plurality of monitoring points according to the beidou satellite data;

calculating the coordinate information of the monitoring points according to the monitoring point coordinate information of each monitoring point;

and obtaining the target position positioning information of the bridge to be monitored according to the monitoring point coordinate information.

Optionally, the foundation radar interference monitoring module is further used for collecting bridge deformation data through monitoring equipment;

acquiring a reference time base;

preprocessing the bridge deformation data according to the reference time standard to obtain deformation time sequence information;

and transmitting the deformation time series information to the information processing module.

Optionally, the foundation radar interference monitoring module is further configured to perform windowing processing and focusing processing on the bridge deformation data to obtain processed deformation data;

Performing differential processing and denoising processing on the processed deformation data to obtain deformation time sequences of all monitoring points;

and determining deformation time sequence information according to the deformation time sequence of each monitoring point and the reference time reference.

Optionally, the satellite-borne settlement monitoring module is further configured to obtain satellite-borne data of the bridge to be monitored;

performing image registration and resampling on the satellite-borne data to obtain satellite-borne image data;

determining linear deformation information and nonlinear deformation information according to the satellite-borne image data;

and performing geocoding on the linear deformation information and the nonlinear deformation information to obtain geographic deformation map information, and sending the geographic deformation map information to the information processing module.

Optionally, the information processing module includes: the system comprises a communication module, a data processing module, a filtering module and a deformation prediction module;

the communication module is used for receiving the target part positioning information, the deformation time sequence information and the geographic deformation map information;

the data processing module is used for determining a long-term deformation time sequence and a short-term deformation time sequence according to the target part positioning information, the deformation time sequence information and the geographic deformation map information;

The filtering module is used for weakening noise in the long-term deformation time sequence and the short-term deformation time sequence to obtain a bridge deformation time sequence;

and the deformation prediction module is used for generating deformation settlement monitoring information of the bridge to be monitored according to the bridge deformation time sequence.

Optionally, the deformation prediction module is further configured to reject a linear deformation term in the bridge deformation time sequence to obtain a remaining deformation time sequence;

calculating the residual deformation time sequence according to a preset observation equation and a least square formula to obtain the daily cycle deformation amplitude of the bridge to be monitored;

and determining deformation settlement monitoring information according to the daily cycle deformation amplitude.

Further, in order to achieve the above object, the present invention also provides a method for monitoring bridge integrated deformation, the method for monitoring bridge integrated deformation is applied to a system for monitoring bridge integrated deformation, the system for monitoring bridge integrated deformation includes: the system comprises a Beidou monitoring module, a foundation radar interference monitoring module, a satellite-borne settlement monitoring module and an information processing module, wherein the Beidou monitoring module, the foundation radar interference monitoring module and the satellite-borne settlement monitoring module are respectively connected with the information processing module;

The bridge comprehensive deformation monitoring method comprises the following steps:

the Beidou monitoring module acquires Beidou satellite data, determines target position positioning information of a bridge to be monitored according to the Beidou satellite data, and sends the target position positioning information to the information processing module;

the foundation radar interference monitoring module acquires bridge deformation data, determines deformation time sequence information of the bridge to be monitored according to the bridge deformation data, and sends the deformation time sequence information to the information processing module;

the satellite-borne settlement monitoring module acquires satellite-borne data of the bridge to be monitored, determines geographic deformation map information according to the satellite-borne data, and sends the geographic deformation map information to the information processing module;

and the information processing module determines deformation settlement monitoring information of the bridge to be monitored according to the target part positioning information, the deformation time sequence information and the geographic deformation map information.

the information processing module determines deformation settlement monitoring information of the bridge to be monitored according to the target part positioning information, the deformation time sequence information and the geographic deformation map information, and comprises the following steps:

The communication module receives the target part positioning information, the deformation time sequence information and the geographic deformation map information;

the data processing module determines a long-term deformation time sequence and a short-term deformation time sequence according to the target part positioning information, the deformation time sequence information and the geographic deformation map information;

the filtering module weakens noise in the long-term deformation time sequence and the short-term deformation time sequence to obtain a bridge deformation time sequence;

and the deformation prediction module generates deformation settlement monitoring information of the bridge to be monitored according to the bridge deformation time sequence.

According to the bridge monitoring system, beidou satellite data are acquired through the Beidou monitoring module, target position positioning information of a bridge to be monitored is determined according to the Beidou satellite data, and the target position positioning information is sent to the information processing module; the foundation radar interference monitoring module acquires bridge deformation data, determines deformation time sequence information of a bridge to be monitored according to the bridge deformation data, and sends the deformation time sequence information to the information processing module; the method comprises the steps that a satellite-borne settlement monitoring module obtains satellite-borne data of a bridge to be monitored, geographic deformation map information is determined according to the satellite-borne data, and the geographic deformation map information is sent to an information processing module; and the information processing module determines deformation settlement monitoring information of the bridge to be monitored according to the target part positioning information, the deformation time sequence information and the geographic deformation map information. By the method, the positioning information of the target part of the bridge to be monitored, the whole deformation time sequence of the bridge and the satellite-borne data of the surrounding area of the bridge are respectively obtained based on the Beidou satellite, the ground radar interference monitoring and the satellite-borne settlement monitoring, so that the deformation settlement monitoring information of the bridge to be monitored and the surrounding area of the bridge is obtained, and the accuracy and the reliability of the deformation and settlement monitoring of the bridge are improved.

Drawings

FIG. 1 is a block diagram of a first embodiment of a bridge integrated deformation monitoring system according to the present invention;

FIG. 2 is a schematic diagram showing information interaction between sub-modules in an embodiment of the bridge integrated deformation monitoring system of the present invention;

FIG. 3 is a schematic diagram of a submodule of the Beidou monitoring module in one embodiment of the bridge comprehensive deformation monitoring system of the present invention;

fig. 4 is a schematic diagram of information interaction of a beidou monitoring module in an embodiment of the bridge comprehensive deformation monitoring system of the present invention;

FIG. 5 is a schematic diagram of a process flow of a foundation radar interferometry module in an embodiment of a bridge integrated deformation monitoring system according to the present invention;

FIG. 6 is a block diagram of a second embodiment of the bridge integrated deformation monitoring system of the present invention;

FIG. 7 is a schematic diagram illustrating information interaction between information processing modules in an embodiment of the system for monitoring integrated deformation of a bridge according to the present invention;

FIG. 8 is a schematic diagram illustrating the input/output interaction of the data processing module in one embodiment of the bridge integrated deformation monitoring system of the present invention;

FIG. 9 is a schematic diagram illustrating the operation logic of the filtering module in an embodiment of the bridge integrated deformation monitoring system according to the present invention;

FIG. 10 is a schematic flow chart of a first embodiment of a method for monitoring integrated deformation of a bridge according to the present invention;

fig. 11 is a schematic flow chart of a second embodiment of the method for monitoring integrated deformation of a bridge according to the present invention.

The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.

Detailed Description

It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

Referring to fig. 1, fig. 1 is a block diagram of a first embodiment of a bridge integrated deformation monitoring system according to the present invention.

The bridge comprehensive deformation monitoring system comprises: the system comprises a Beidou monitoring module 10, a foundation radar interference monitoring module 20, a satellite-borne settlement monitoring module 30 and an information processing module 40, wherein the Beidou monitoring module 10, the foundation radar interference monitoring module 20 and the satellite-borne settlement monitoring module 30 are respectively connected with the information processing module 40;

the Beidou monitoring module 10 is configured to acquire Beidou satellite data, determine target position positioning information of a bridge to be monitored according to the Beidou satellite data, and send the target position positioning information to the information processing module 40.

It should be noted that, at present, deformation and settlement monitoring of the bridge is based on GNSS, a deflectometer and a displacement sensor, but because the monitoring environment of the bridge is complex, the traffic flow is large, and the accuracy of the monitoring technology is low by only depending on GNSS, deflectometer and displacement sensor, and the scheme of the embodiment realizes that positioning information of the target part of the bridge to be monitored, the whole deformation time sequence of the bridge and satellite-borne data of the surrounding area of the bridge are respectively obtained based on three aspects of Beidou satellite, ground radar interference monitoring and satellite-borne settlement monitoring, so as to obtain deformation and settlement monitoring information of the bridge to be monitored and the surrounding area of the bridge, and improve the accuracy and reliability of deformation and settlement monitoring of the bridge.

It should be understood that, as shown in fig. 2, a data interaction flow between each module is shown, where the beidou deformation monitoring subsystem is the beidou monitoring module 10, the gbinsar deformation monitoring subsystem is the ground radar interference monitoring module 20, the spaceborne InSAR settlement monitoring subsystem is the spaceborne settlement monitoring module 30, the deformation information processing subsystem is the information processing module 40, the information processing module 40 receives the monitoring data from each module, and the original observation data used by the beidou monitoring module 10 is obtained by transmitting the information processing module 40.

In a specific implementation, the beidou satellite data acquired by the beidou monitoring module 10 is the original observation data in fig. 2, and is obtained by requesting from the information processing module 40. The target position positioning information refers to the positioning of each monitoring point on the bridge to be monitored and the related information of the coordinate change.

Further, in order to accurately generate the target location positioning information and send the target location positioning information to the information processing module 40, the beidou monitoring module 10 further includes: a signal receiving module 50, a positioning resolving module 60 and a wireless communication module 70.

In a specific implementation, fig. 3 is a schematic diagram of a submodule structure of the beidou monitoring module 10. As shown in fig. 4, the beidou monitoring module 10 further includes a data storage module, the signal receiving module 50 is configured to receive beidou satellite data from a beidou satellite, and is composed of a plurality of beidou monitoring stations and reference stations, the beidou monitoring stations are arranged at key bridge parts favorable for satellite signal observation, and the reference stations are arranged near the bridge. The Beidou monitoring station and the reference station observe Beidou satellite signals in real time at the high-frequency sampling rate of at least 5HZ, and decode the received Beidou satellite signals to obtain data of Beidou satellite observation. The signal receiving module 50 inputs the Beidou satellite observation data and the names of the corresponding monitoring points into the positioning resolving module 60 in real time. The wireless communication module 70 not only transmits the target location positioning information to the information processing module 40, but also receives the raw data of the Beidou observation from the information processing module 40.

It should be understood that the positioning resolving module 60 is used for solving the accurate coordinates of the monitoring points of the bridge to be monitored and acquiring the Beidou satellite original observation data from the data storage module. The specific functions are as follows:

1. and calculating coordinates of the monitoring points, and obtaining information that the target is not positioning.

2. The position resolving module 60 copies and inputs the observation data input from the signal receiving module 50 to the data storage module when receiving the same. When receiving the request information for acquiring BDS original observation data input by the wireless communication module, the positioning calculation module 50 queries the database of the data storage module for the original observation data of the corresponding monitoring point and the reference station according to the monitoring point name and the date of the observation data in the request information, acquires the data, and then inputs the data together with the coordinates of the reference station as target location positioning information to the wireless communication module 70.

In a specific implementation, the data storage module is mainly used for storing the Beidou satellite original observation data. The data storage module establishes a storage file of the original observation data according to the monitoring point name and the input date corresponding to the original observation data, and the file name is named in the form of 'monitoring point name + input date'. When the time of the input original observation data is full of 24 hours, the data storage module stops storing data in the file, and re-establishes the original observation data file of the monitoring point, names and stores the original observation data in the same way.

By the method, the key parts of the high-speed railway bridge are continuously monitored for a long time by adopting high-frequency observation data.

Further, in order to accurately obtain the positioning information of the target location, the positioning resolving module 60 is further configured to determine a plurality of monitoring points according to the Beidou satellite data; calculating the coordinate information of the monitoring points according to the monitoring point coordinate information of each monitoring point; and obtaining the target position positioning information of the bridge to be monitored according to the monitoring point coordinate information.

It should be noted that, the positioning resolving module 60 first determines each monitoring point, where the monitoring points are distributed at different positions of the bridge to be monitored.

It should be understood that, according to the calculation of the monitoring point coordinate information of each monitoring point, it means: the positioning resolving module 60 stores accurate coordinates of a reference station set in advance, and calculates coordinates of a monitoring point according to input Beidou satellite observation data. The satellite observation environment of the bridge is complex, so that the acquired satellite observation data is poor in quality, and in a real-time dynamic positioning resolving mode, the coordinate precision of the monitoring point calculated by using the single epoch observation data is poor, so that the calculated deformation of the monitoring point is poor. Therefore, to improve the accuracy of the coordinate calculation of the monitoring point and take into account the real-time monitoring requirement of the bridge, the positioning resolving module 60 adopts a static post-processing mode with an interval of 10 minutes (or an arbitrarily set time interval). The positioning resolving module stores the high-frequency observation data input by the Beidou satellite signal receiving module temporarily when receiving the high-frequency observation data, and calculates coordinates of the monitoring points by using the Beidou observation data within 10 minutes when the stored data are full of 10 minutes. In the mode, the satellite observation data participating in the calculation are more, and the coordinate precision reaches the millimeter level. After the calculation is completed, the positioning calculation module deletes the used stored observation data, and inputs the coordinates of the calculated monitoring points, the names of the corresponding monitoring points, the calculation time and other positioning information into the information processing module 40.

By the method, the target position positioning information corresponding to each preset monitoring point of the bridge to be monitored is accurately calculated and stored, so that the deformation monitoring of the key position of the bridge to be monitored from the Beidou satellite is more accurate.

The foundation radar interference monitoring module 20 is configured to collect bridge deformation data, determine deformation time sequence information of the bridge to be monitored according to the bridge deformation data, and send the deformation time sequence information to the information processing module 40.

It should be noted that bridge deformation data refers to the acquisition of moral data by ground-based synthetic aperture radar interferometry (GBInSAR) monitoring equipment. The GBInSAR instrument is monitoring equipment, is arranged at a stable position on one side of the bridge, and has a sampling frequency of at least 20Hz. The instrument was observed with zero baseline. And a corner reflector is arranged on a monitoring point on one monitored side of the bridge and used for reflecting the radar signals emitted by the GBInSAR.

It is understood that the deformation time series information refers to deformation time series of the resulting bridge obtained in a short term and a long term, respectively.

Further, in order to accurately calculate and obtain deformation time sequence information, the ground-based radar interference monitoring module 20 is further configured to collect bridge deformation data through a monitoring device; acquiring a reference time base; preprocessing the bridge deformation data according to the reference time standard to obtain deformation time sequence information; the deformed time-series information is sent to the information processing module 40.

In particular implementations, the reference time reference refers to selecting radar data of the starting monitoring time as a reference time reference for subsequent radar data processing. Assuming that the deformation of the reference time bridge becomes zero, the deformation amounts calculated from the radar data at the remaining time points are all relative to the reference time base.

It should be noted that, preprocessing the bridge deformation data according to the reference time base, and obtaining deformation time sequence information refers to: and (5) sequentially carrying out windowing, focusing, differentiating and denoising on the bridge deformation data to finally obtain deformation time sequence information.

By the method, the bridge deformation data is preprocessed based on the reference time base, and then the deformation time sequence is obtained, so that short-term monitoring is carried out on a plurality of parts of the bridge by using the high-frequency observation data, and short-term dynamic monitoring data of the parts are obtained.

Further, in order to pre-process the bridge deformation data to obtain deformation time sequence information, the foundation radar interference monitoring module 20 is further configured to perform windowing and focusing on the bridge deformation data to obtain processed deformation data; performing differential processing and denoising processing on the processed deformation data to obtain deformation time sequences of all monitoring points; and determining deformation time sequence information according to the deformation time sequence of each monitoring point and the reference time reference.

It should be appreciated that a specific process flow is shown in fig. 5 as a schematic of the process flow of the ground based radar interferometry module 20. Windowing and focusing are carried out on the bridge deformation data, and the processing of the deformation data is as follows: and after the accumulated radar observation data extracted from the bridge deformation data reach the preset time length, starting to process the data. And windowing is carried out on the radar signal by adopting a Hanning window function, so that side lobe effect influence is eliminated. The radar data is frequency domain sampling data of radar signal echoes, in order to extract deformation information of the radar monitoring direction from each resolution unit, the frequency domain data is converted into a space domain through inverse discrete Fourier transform, the process is focusing processing, and finally the deformation data is processed.

In a specific implementation, performing differential processing and denoising processing on the processed deformation data to obtain deformation time sequences of all monitoring points, wherein the deformation time sequences refer to: and carrying out differential processing on the processed deformation data subjected to windowing and focusing processing, wherein only deformation phases exist in signals, and the atmosphere delay phases and the noise phases. After the atmospheric delay phase and the noise phase are weakened by a related denoising processing method, the one-dimensional phase unwrapping is carried out on the interference phase, so that the deformation of the target point line of sight can be obtained. And (5) accumulating time to obtain a deformation time sequence from the distance to each monitoring point in the radar monitoring direction.

It should be noted that, determining deformation time sequence information according to the deformation time sequence of each monitoring point and the reference time reference refers to: firstly, according to pre-stored radar antenna inclination angle data, converting a deformation time sequence of a bridge sight line into a deformation time sequence of a bridge target direction (such as a longitudinal direction and a vertical direction) by adopting a geometric projection method. Then taking the data in the first day of the projected GBInSAR deformation time sequence as a short-term deformation time sequence; and averaging deformation data of the projected GBInSAR deformation time sequence within 1 minute every interval to form a new deformation time sequence which is used as the GBInSAR long-term deformation time sequence. The system transmits the two morph time sequences to the morph information processing subsystem via a wireless network.

By the method, further processing and calculation are carried out on the bridge deformation data, deformation time series information is obtained, and the effect of monitoring key parts of the bridge is achieved.

The satellite-borne settlement monitoring module 30 is configured to obtain satellite-borne data of the bridge to be monitored, determine geographic deformation map information according to the satellite-borne data, and send the geographic deformation map information to the information processing module 40.

It should be noted that, the on-board settlement monitoring module 30 firstly obtains on-board data of the bridge to be monitored, and obtains by calling the pre-collected satellite data, then firstly performs image registration and impact sampling on the on-board data, so as to obtain on-board image data of the image data, further converts the on-board image data into linear deformation information and nonlinear deformation information, and finally performs geo-coding, thereby obtaining the geographic deformation map information.

Further, in order to obtain the geographical deformation map information, the satellite-borne settlement monitoring module 30 is further configured to perform image registration and resampling on the satellite-borne data to obtain satellite-borne image data; determining linear deformation information and nonlinear deformation information according to the satellite-borne image data; the linear deformation information and the nonlinear deformation information are subjected to geocoding to obtain geographical deformation map information, and the geographical deformation map information is sent to the information processing module 40.

It should be understood that performing image registration and resampling on the satellite-borne data to obtain satellite-borne image data refers to: the method comprises the steps of firstly splitting satellite-borne data to obtain a main image and an auxiliary image, and registering and resampling the main image and the auxiliary image to obtain satellite-borne image data.

In a specific implementation, determining the linear deformation information and the nonlinear deformation information according to the satellite-borne image data refers to: after the satellite-borne image data are obtained, different algorithms are adopted respectively to split the deformation information into linear deformation information and nonlinear deformation information for acquisition.

It should be noted that, performing geocoding on the linear deformation information and the nonlinear deformation information, and obtaining the geographic deformation map information refers to: firstly, the linear deformation information and the nonlinear deformation information are subjected to geocoding and converted into a geographic coordinate system, so that a conversion result, namely geographic deformation map information, can be obtained.

By the method, satellite-borne data are filtered, processed and calculated, geographical deformation map information under a geographical coordinate system is finally obtained, and periodic monitoring of large-scale settlement information of surrounding areas of the bridge is completed.

The information processing module 40 is configured to determine deformation settlement monitoring information of the bridge to be monitored according to the target location positioning information, the deformation time sequence information and the geographic deformation map information.

It should be understood that deformation settlement monitoring information includes, but is not limited to, periodic deformation parameters of long term in the bridge, dynamic deformation information of short term in other parts, and settlement information of wide range around the bridge.

In a specific implementation, according to the target part positioning information, the deformation time sequence information and the geographic deformation map information, a long-term deformation time sequence and a short-term deformation time sequence are obtained by first converting, and then filtering is performed, so that deformation settlement monitoring information of the bridge to be monitored can be generated according to a filtering result.

According to the method, beidou satellite data are obtained through the Beidou monitoring module, target position positioning information of the bridge to be monitored is determined according to the Beidou satellite data, and the target position positioning information is sent to the information processing module; the foundation radar interference monitoring module acquires bridge deformation data, determines deformation time sequence information of a bridge to be monitored according to the bridge deformation data, and sends the deformation time sequence information to the information processing module; the method comprises the steps that a satellite-borne settlement monitoring module obtains satellite-borne data of a bridge to be monitored, geographic deformation map information is determined according to the satellite-borne data, and the geographic deformation map information is sent to an information processing module; and the information processing module determines deformation settlement monitoring information of the bridge to be monitored according to the target part positioning information, the deformation time sequence information and the geographic deformation map information. By the method, the positioning information of the target part of the bridge to be monitored, the whole deformation time sequence of the bridge and the satellite-borne data of the surrounding area of the bridge are respectively obtained based on the Beidou satellite, the ground radar interference monitoring and the satellite-borne settlement monitoring, so that the deformation settlement monitoring information of the bridge to be monitored and the surrounding area of the bridge is obtained, and the accuracy and the reliability of the deformation and settlement monitoring of the bridge are improved.

Referring to fig. 6, fig. 6 is a block diagram of a second embodiment of the bridge integrated deformation monitoring system according to the present invention, and based on the first embodiment, the second embodiment of the bridge integrated deformation monitoring system according to the present invention is proposed.

In this embodiment, the information processing module 40 includes: a communication module 401, a data processing module 402, a filtering module 403 and a deformation prediction module 404;

the communication module 401 is configured to receive the target location positioning information, the deformation time sequence information, and the geographic deformation map information.

It should be noted that, the communication module 401 receives the target location positioning information, the deformation time sequence information, and the geographic deformation map information, which means that: the communication module 401 first receives the information input by the data processing module 402, and then sends the information to the Beidou monitoring module 10 through a wireless network. The communication module 401 receives information sent by the Beidou monitoring module 10 through a wireless network and inputs the information into the data processing module; in addition, the communication module 401 downloads the BDS precise ephemeris and satellite clock in the corresponding time period from the preset website according to the time information in the information input by the data processing module 402, and inputs the BDS precise ephemeris and satellite clock into the data processing module 402.

It should be understood that, as shown in fig. 7, the communication module 401 is electrically connected to the data processing module 402 (BDS processing module), the filtering module 403 (distortion information noise filter) and the distortion information storage module, respectively. The BDS processing module is electrically connected with the deformation information noise filter and the deformation information storage module respectively; the deformation information noise filter is respectively and electrically connected with the deformation information storage module and the deformation information estimation module; the deformation prediction module 404 is also connected to a deformation information storage module.

The data processing module 402 is configured to determine a long-term deformation time sequence and a short-term deformation time sequence according to the target location positioning information, the deformation time sequence information, and the geographic deformation map information.

It should be understood that fig. 8 is a schematic diagram showing the input-output interaction of the data processing module 402 in this embodiment. The data processing module 402 is used for calculating the deformation of the monitoring point according to the target part positioning information, the deformation time sequence information and the geographic deformation map information; according to the short-term original observation data of the monitoring points, a short-term precise deformation time sequence of the key monitoring points is calculated and is used for detecting the moment that a train passes through a bridge, the deformation condition of the BDS monitoring points and the inherent frequency of the monitoring points in short-term time; and calculating a long-term precise deformation time sequence of the monitoring point according to the long-term original observation data of the key monitoring point, and calculating the periodic movement amplitude of the monitoring point.

In particular implementations, the specific functions of the data processing module 402 are: (1) and calculating the deformation of the monitoring point. The data processing module 402 stores initial coordinates of the monitoring points in advance, when the data processing module 402 receives the monitoring point coordinate information input by the communication module 401, the data processing module 402 finds the initial coordinates of the corresponding monitoring points according to the names of the monitoring points in the coordinate information, and then calculates the difference between the coordinates in the coordinate information and the initial coordinates to obtain the deformation of the monitoring points. And finally, inputting the deformation of the monitoring point, the corresponding time and the name of the monitoring point into a deformation information storage module. (2) And calculating long-term and short-term precise deformation time sequences of the monitoring points. The function calculates short-term high frequency and long-term deformation time sequences by utilizing BDS precise satellite ephemeris files, satellite clock error files and original observation data. The specific functions are as follows: a. according to the preset time interval, the original observation data request information of the monitoring points is periodically input to the communication module 401, wherein the request information comprises preset key monitoring point names, the starting time of the original observation data and the time length of the data, and the time length of the data is at least 1 week. B. Data input by the communication module 401 is received. Including the original observations of the monitoring points and reference stations, the precise ephemeris and satellite clock errors, and the reference station coordinates. The original observed data is converted into a format of more than rinex3.2 version to be used as long-term original observed data, and then the data of the first day is extracted from the long-term original observed data to be used as short-term original observed data. C. The data processing module 402 calculates coordinates of the monitoring point in a real-time dynamic positioning mode by using long-term original observation data, precise ephemeris, satellite clock errors and reference station coordinates, and the interval time between two adjacent coordinates is at least 1 minute. And arranging the coordinates of the monitoring points according to the calculation time sequence to obtain a BDS long-term precise coordinate time sequence of the monitoring points. And (3) differentiating the BDS long-term precise coordinate time sequence of the monitoring point and the initial coordinate of the monitoring point, and finally obtaining the long-term precise deformation time sequence of the monitoring point. Finally, the data processing module 402 inputs the monitoring point long-term precise deformation time sequence into the filtering module 403 (deformation information noise filter). D. The data processing module 402 calculates the coordinates of the monitoring points in a real-time dynamic positioning mode using short-term raw observations, precise ephemeris and satellite clock errors, and reference station coordinates. The sampling frequency is the same as the sampling frequency of the original observed data. And arranging the coordinates of the monitoring points according to the calculation time sequence to obtain the BDS short-term precise coordinate time sequence of the monitoring points. And (3) differentiating the BDS short-term precise coordinate time sequence of the monitoring point and the initial coordinate of the monitoring point, and finally obtaining the short-term precise deformation time sequence of the monitoring point. Finally, the BDS processing module inputs the short-term precision deformation time series of the monitoring points into the input filtering module 403 (deformation information noise filter).

The filtering module 403 is configured to attenuate noise in the long-term deformation time sequence and the short-term deformation time sequence, so as to obtain a bridge deformation time sequence.

In a specific implementation, attenuating noise in the long-term deformation time sequence and the short-term deformation time sequence, obtaining the bridge deformation time sequence refers to: and processing the short-term deformation time sequence and the long-term deformation time sequence by adopting different calculation modes respectively so as to obtain the overall deformation time sequence of the bridge.

Specifically, as shown in fig. 9, for the inputted BDS long-term precision deformation time series and GBInSAR long-term deformation time series, noise in the deformation time series includes white noise and colored noise. The power of colored noise is concentrated at low frequencies and the power of white noise is concentrated at high frequencies. The distortion information noise filter processes the white noise and the colored noise by using different techniques according to the power difference between the white noise and the colored noise. And for the input long-term deformation time sequence, the deformation information noise filter detects the gross errors in the deformation time sequence by adopting a triple error method, and interpolates the deformation data in corresponding time after the gross errors are removed by utilizing a linear interpolation method, so that the integrity of the deformation time sequence is maintained. And then, performing curve fitting on the deformed time sequence to obtain a curve fitting residual error of the corresponding deformed time sequence. On the basis, a wavelet threshold denoising method is adopted to weaken white noise in the curve fitting residual error, and the residual curve fitting residual error still contains colored noise. And then, fitting residual errors to the three-direction BDS curve of the monitoring point after weakening white noise, and weakening colored noise in the residual errors by adopting a power spectrum principal component analysis method. And (3) regarding GBInSAR curve fitting residual error after weakening white noise, and weakening colored noise in the GBInSAR curve fitting residual error by adopting a wavelet information entropy method. Finally, the curve fitting residual sequence after weakening white noise and colored noise is added to the curve to obtain a filtered BDS monitoring point long-term precision deformation time sequence and a GBInSAR long-term deformation time sequence, which are input into the deformation prediction module 404.

For the input BDS short-term precise deformation time sequence and GBInSAR short-term deformation time sequence, the method is used for capturing the instantaneous deformation of the bridge monitoring points and not used for estimating the periodic deformation of the monitoring points, so that the deformation information noise filter only carries out wavelet threshold denoising processing on the two deformation time sequences, and then the filtered deformation time sequence is used as the bridge deformation time sequence to be input into the deformation prediction module 404.

The deformation prediction module 404 is configured to generate deformation settlement monitoring information of the bridge to be monitored according to the bridge deformation time sequence.

It should be appreciated that, after the deformation prediction module 404 receives the bridge deformation time sequence, the linear deformation term is first removed, and then a calculation is performed to obtain the daily deformation amplitude, so that deformation settlement monitoring information can be determined according to the daily deformation amplitude.

Further, in order to obtain deformation settlement monitoring information, the deformation prediction module 404 is further configured to reject linear deformation terms in the bridge deformation time sequence to obtain a remaining deformation time sequence; calculating the residual deformation time sequence according to a preset observation equation and a least square formula to obtain the daily cycle deformation amplitude of the bridge to be monitored; and determining deformation settlement monitoring information according to the daily cycle deformation amplitude.

The observation formula of the deformation time series is as follows:

wherein, the->

Is indicated at->

Deformation observed at the moment, +.>

The unit is day, & gt>

Wherein n represents a variationThe number of data in the time series. />

Representing the initial deformation in the time range covered by the deformation time series,/the deformation time series>

Representing the linear deformation speed +.>

And->

Coefficients representing a trigonometric function of the daily period deformation of the monitoring point, < ->

Representation->

Noise at the moment. In the above formula, (-)>

) A linear deformation term representing a deformation time sequence, (-)>

) The daily period deformation term in the deformation time series is represented.

It should be understood that, because the invention only focuses on the daily cycle deformation of the bridge BDS monitoring point and the linear movement of the monitoring point is weaker, the deformation information estimation module eliminates the linear deformation item in the deformation time sequence before calculating the daily cycle deformation amplitude, and the rest deformation time sequence contains the daily cycle deformation information of the monitoring point. At this time, the observation equation of the deformation time series is:

parameters to be estimated: x= [ -jersey>

,/>

]. Since the colored noise is greatly attenuated in the distortion information noise filter, it can be considered that only white noise remains in the noise of the distortion time series, and the least square formula +. >

Y, calculate->

And->

Further according to->

And calculating the amplitude of the daily cycle deformation of the monitoring point. And finally, the deformation information estimation module inputs the result, the corresponding monitoring point and the monitoring direction into the deformation information storage module.

In a specific implementation, the deformation information storage module is used for storing all deformation information generated by the system for the user to inquire. The deformation information is stored in three categories. The specific information is described as follows: (1) and deforming the time sequence. The deformation information storage module receives and stores the monitoring point names, deformation amounts and corresponding times continuously input by the data processing module 402, and a monitoring point deformation time sequence is formed through long-time accumulation. And the deformation information storage module receives and stores a filtered deformation time sequence input by the deformation information noise filter, wherein the filtered deformation time sequence comprises a filtered short-term precision deformation time sequence of the monitoring point and a GBInSAR monitoring point short-term deformation time sequence. (2) Periodic deformation amplitude. The deformation information storage module receives and stores the bridge BDS and GBInSA monitoring point daily cycle deformation amplitude input by the deformation prediction module 404. (3) And (5) bridge peripheral settlement information. The deformation information storage module receives and stores the graph which is input by the communication module and represents the large-range settlement information of the periphery of the bridge.

By the method, the deformation amplitude of the monitoring point with the day as a period is estimated according to the input BDS monitoring point long-term precision deformation time sequence after filtering and the GBInSAR monitoring point long-term deformation time sequence.

In this embodiment, the determining, by the information processing module, deformation settlement monitoring information of the bridge to be monitored according to the target location positioning information, the deformation time sequence information and the geographic deformation map information includes: the communication module receives the target part positioning information, the deformation time sequence information and the geographic deformation map information; the data processing module determines a long-term deformation time sequence and a short-term deformation time sequence according to the target part positioning information, the deformation time sequence information and the geographic deformation map information; the filtering module weakens noise in the long-term deformation time sequence and the short-term deformation time sequence to obtain a bridge deformation time sequence; and the deformation prediction module generates deformation settlement monitoring information of the bridge to be monitored according to the bridge deformation time sequence. By the method, the BDS positioning resolving method adopting short-time static post-processing through data receiving and processing is realized, and the positioning resolving precision is improved. And, the system designs a deformation information noise filter, and adopts different filtering methods aiming at short-term and long-term deformation time sequences. For a short-term high-frequency deformation time sequence, roughly denoising by adopting a general wavelet threshold method, and reserving instantaneous deformation information of monitoring points in the deformation time sequence; for long-term low-frequency deformation time sequences, processing by adopting methods such as coarse detection and rejection+wavelet threshold value+colored noise rejection, and the like, wherein the used colored noise rejection methods are also distinguished according to the characteristics of the BDS and GBINSAR deformation time sequences. By adopting the method, the accuracy of monitoring the deformation of the high-speed railway bridge is improved.

Further, referring to fig. 10, fig. 10 is a schematic flow chart of a first embodiment of the bridge integrated deformation monitoring method according to the present invention, and fig. 10 is a schematic flow chart of a first embodiment of the bridge integrated deformation monitoring method according to the present invention, where the bridge integrated deformation monitoring method is applied to a bridge integrated deformation monitoring system, and the bridge integrated deformation monitoring system includes:

step S10: the Beidou monitoring module acquires Beidou satellite data, determines target position positioning information of the bridge to be monitored according to the Beidou satellite data, and sends the target position positioning information to the information processing module.

It should be understood that, as shown in fig. 2, a data interaction flow between each module is shown, where the beidou deformation monitoring subsystem is a beidou monitoring module, the GBInSAR deformation monitoring subsystem is a ground radar interference monitoring module, the spaceborne InSAR settlement monitoring subsystem is a spaceborne settlement monitoring module, the deformation information processing subsystem is an information processing module, the information processing module receives the monitoring data from each module, and the original observation data used by the beidou monitoring module is obtained by transmitting by the information processing module 40.

In a specific implementation, the Beidou satellite data acquired by the Beidou monitoring module is the original observation data in fig. 2, and is obtained by requesting from the information processing module. The target position positioning information refers to the positioning of each monitoring point on the bridge to be monitored and the related information of the coordinate change.

Step S20: the foundation radar interference monitoring module collects bridge deformation data, determines deformation time sequence information of the bridge to be monitored according to the bridge deformation data, and sends the deformation time sequence information to the information processing module.

Step S30: the satellite-borne settlement monitoring module acquires satellite-borne data of the bridge to be monitored, determines geographic deformation map information according to the satellite-borne data, and sends the geographic deformation map information to the information processing module.

Step S40: and the information processing module determines deformation settlement monitoring information of the bridge to be monitored according to the target part positioning information, the deformation time sequence information and the geographic deformation map information.

Referring to fig. 11, fig. 11 is a schematic flow chart of a second embodiment of the method for monitoring integrated deformation of a bridge according to the present invention, and based on the embodiment shown in fig. 10, the second embodiment of the method for monitoring integrated deformation of a bridge according to the present invention is provided.

In this embodiment, the step S40 includes:

step S401: and the communication module receives the target part positioning information, the deformation time sequence information and the geographic deformation map information.

It should be noted that, the receiving, by the communication module, the target location positioning information, the deformation time sequence information, and the geographic deformation map information means that: the communication module firstly receives the information input by the data processing module, and then sends the information to the Beidou monitoring module through the wireless network. The communication module receives information sent by the Beidou monitoring module through a wireless network and inputs the information into the data processing module; in addition, the communication module downloads BDS precise ephemeris and satellite clock errors in corresponding time periods from preset websites according to time information in the information input by the data processing module, and inputs the BDS precise ephemeris and satellite clock errors into the data processing module.

It should be understood that, as shown in fig. 5, the communication module is electrically connected to the data processing module (BDS processing module), the filtering module (deformation information noise filter) and the deformation information storage module, respectively. The BDS processing module is electrically connected with the deformation information noise filter and the deformation information storage module respectively; the deformation information noise filter is respectively and electrically connected with the deformation information storage module and the deformation information estimation module; and the deformation prediction module is also connected with the deformation information storage module.

Step S402: the data processing module determines a long-term deformation time sequence and a short-term deformation time sequence according to the target part positioning information, the deformation time sequence information and the geographic deformation map information.

It should be understood that fig. 7 is a schematic diagram showing the input-output interaction of the data processing module 402 in this embodiment. The data processing module 402 is used for calculating the deformation of the monitoring point according to the target part positioning information, the deformation time sequence information and the geographic deformation map information; according to the short-term original observation data of the monitoring points, a short-term precise deformation time sequence of the key monitoring points is calculated and is used for detecting the moment that a train passes through a bridge, the deformation condition of the BDS monitoring points and the inherent frequency of the monitoring points in short-term time; and calculating a long-term precise deformation time sequence of the monitoring point according to the long-term original observation data of the key monitoring point, and calculating the periodic movement amplitude of the monitoring point.

In a specific implementation, the specific functions of the data processing module are: (1) and calculating the deformation of the monitoring point. The data processing module is used for finding out the initial coordinates of the corresponding monitoring points according to the names of the monitoring points in the coordinate information when receiving the coordinate information of the monitoring points input by the communication module, and then obtaining the deformation of the monitoring points by differentiating the coordinates in the coordinate information with the initial coordinates. And finally, inputting the deformation of the monitoring point, the corresponding time and the name of the monitoring point into a deformation information storage module. (2) And calculating long-term and short-term precise deformation time sequences of the monitoring points. The function calculates short-term high frequency and long-term deformation time sequences by utilizing BDS precise satellite ephemeris files, satellite clock error files and original observation data. The specific functions are as follows: a. and according to the preset time interval, periodically inputting original observation data request information of the monitoring points to the communication module, wherein the request information comprises preset key monitoring point names, the starting time of the original observation data and the time length of the data, and the time length of the data is at least 1 week. B. And receiving the data input by the communication module. Including the original observations of the monitoring points and reference stations, the precise ephemeris and satellite clock errors, and the reference station coordinates. The original observed data is converted into a format of more than rinex3.2 version to be used as long-term original observed data, and then the data of the first day is extracted from the long-term original observed data to be used as short-term original observed data. C. The data processing module calculates the coordinates of the monitoring points by adopting long-term original observation data, precise ephemeris, satellite clock errors and reference station coordinates in a real-time dynamic positioning mode, and the interval time between two adjacent coordinates is at least 1 minute. And arranging the coordinates of the monitoring points according to the calculation time sequence to obtain a BDS long-term precise coordinate time sequence of the monitoring points. And (3) differentiating the BDS long-term precise coordinate time sequence of the monitoring point and the initial coordinate of the monitoring point, and finally obtaining the long-term precise deformation time sequence of the monitoring point. And finally, the data processing module inputs the long-term precise deformation time sequence of the monitoring point into a filtering module (deformation information noise filter). D. The data processing module calculates the coordinates of the monitoring points in a real-time dynamic positioning mode by adopting short-term original observation data, precise ephemeris, satellite clock errors and reference station coordinates. The sampling frequency is the same as the sampling frequency of the original observed data. And arranging the coordinates of the monitoring points according to the calculation time sequence to obtain the BDS short-term precise coordinate time sequence of the monitoring points. And (3) differentiating the BDS short-term precise coordinate time sequence of the monitoring point and the initial coordinate of the monitoring point, and finally obtaining the short-term precise deformation time sequence of the monitoring point. And finally, the BDS processing module inputs the short-term precise deformation time sequence of the monitoring point into an input filtering module (deformation information noise filter).

Step S403: the filtering module weakens noise in the long-term deformation time sequence and the short-term deformation time sequence to obtain the bridge deformation time sequence.

Specifically, as shown in fig. 8, for the inputted BDS long-term precision deformation time series and GBInSAR long-term deformation time series, noise in the deformation time series includes white noise and colored noise. The power of colored noise is concentrated at low frequencies and the power of white noise is concentrated at high frequencies. The distortion information noise filter processes the white noise and the colored noise by using different techniques according to the power difference between the white noise and the colored noise. And for the input long-term deformation time sequence, the deformation information noise filter detects the gross errors in the deformation time sequence by adopting a triple error method, and interpolates the deformation data in corresponding time after the gross errors are removed by utilizing a linear interpolation method, so that the integrity of the deformation time sequence is maintained. And then, performing curve fitting on the deformed time sequence to obtain a curve fitting residual error of the corresponding deformed time sequence. On the basis, a wavelet threshold denoising method is adopted to weaken white noise in the curve fitting residual error, and the residual curve fitting residual error still contains colored noise. And then, fitting residual errors to the three-direction BDS curve of the monitoring point after weakening white noise, and weakening colored noise in the residual errors by adopting a power spectrum principal component analysis method. And (3) regarding GBInSAR curve fitting residual error after weakening white noise, and weakening colored noise in the GBInSAR curve fitting residual error by adopting a wavelet information entropy method. Finally, the curve fitting residual sequence after weakening white noise and colored noise is added to the curve to obtain a filtered BDS monitoring point long-term precision deformation time sequence and a GBInSAR long-term deformation time sequence, which are input into the deformation prediction module 404.

And for the input BDS short-term precise deformation time sequence and GBInSAR short-term deformation time sequence, capturing the instantaneous deformation of the bridge monitoring points and not estimating the periodic deformation of the monitoring points, so that the deformation information noise filter only carries out wavelet threshold denoising processing on the two deformation time sequences, and then, taking the filtered deformation time sequence as the bridge deformation time sequence to be input into the deformation prediction module.

Step S404: and the deformation prediction module generates deformation settlement monitoring information of the bridge to be monitored according to the bridge deformation time sequence.

It should be understood that after the deformation prediction module receives the bridge deformation time sequence, the linear deformation item is removed first, and then the daily cycle deformation amplitude is obtained through calculation, so that deformation settlement monitoring information can be determined according to the daily cycle deformation amplitude.

In this embodiment, the determining, by the information processing module, deformation settlement monitoring information of the bridge to be monitored according to the target location positioning information, the deformation time sequence information and the geographic deformation map information includes: the communication module receives the target part positioning information, the deformation time sequence information and the geographic deformation map information; the data processing module determines a long-term deformation time sequence and a short-term deformation time sequence according to the target part positioning information, the deformation time sequence information and the geographic deformation map information; the filtering module weakens noise in the long-term deformation time sequence and the short-term deformation time sequence to obtain a bridge deformation time sequence; and the deformation prediction module generates deformation settlement monitoring information of the bridge to be monitored according to the bridge deformation time sequence. By the method, the BDS positioning resolving method adopting short-time static post-processing through data receiving and processing is realized, and the positioning resolving precision is improved. And, the system designs a deformation information noise filter, and adopts different filtering methods aiming at short-term and long-term deformation time sequences. For a short-term high-frequency deformation time sequence, roughly denoising by adopting a general wavelet threshold method, and reserving instantaneous deformation information of monitoring points in the deformation time sequence; for long-term low-frequency deformation time sequences, processing by adopting methods such as coarse detection and rejection+wavelet threshold value+colored noise rejection, and the like, wherein the used colored noise rejection methods are also distinguished according to the characteristics of the BDS and GBINSAR deformation time sequences. By adopting the method, the accuracy of monitoring the deformation of the high-speed railway bridge is improved

Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.

The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

From the above description of embodiments, it will be clear to a person skilled in the art that the above embodiment method may be implemented by means of software plus a necessary general hardware platform, but may of course also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk) and including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.

The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.

Claims

1. A bridge integrated deformation monitoring system, the bridge integrated deformation monitoring system comprising: the system comprises a Beidou monitoring module, a foundation radar interference monitoring module, a satellite-borne settlement monitoring module and an information processing module, wherein the Beidou monitoring module, the foundation radar interference monitoring module and the satellite-borne settlement monitoring module are respectively connected with the information processing module;

2. The system of claim 1, wherein the beidou monitoring module comprises: the system comprises a signal receiving module, a positioning resolving module and a wireless communication module;

3. The system of claim 2, wherein the positioning resolution module is further configured to determine a plurality of monitoring points from the Beidou satellite data;

4. The system of claim 1, wherein the ground-based radar interferometry monitoring module is further configured to collect bridge deformation data via a monitoring device;

acquiring a reference time base;

5. The system of claim 4, wherein the ground-based radar interferometry module is further configured to perform windowing and focusing on the bridge deformation data to obtain processed deformation data;

6. The system of claim 1, wherein the on-board settlement monitoring module is further configured to obtain on-board data of the bridge to be monitored;

7. The system of claim 1, wherein the information processing module comprises: the system comprises a communication module, a data processing module, a filtering module and a deformation prediction module;

8. The system of claim 7, wherein the deformation prediction module is further configured to reject linear deformation terms in the bridge deformation time sequence to obtain a remaining deformation time sequence;

9. The bridge comprehensive deformation monitoring method is characterized by being applied to a bridge comprehensive deformation monitoring system, and the bridge comprehensive deformation monitoring system comprises: the system comprises a Beidou monitoring module, a foundation radar interference monitoring module, a satellite-borne settlement monitoring module and an information processing module, wherein the Beidou monitoring module, the foundation radar interference monitoring module and the satellite-borne settlement monitoring module are respectively connected with the information processing module;

10. The method of claim 9, wherein the information processing module comprises: the system comprises a communication module, a data processing module, a filtering module and a deformation prediction module;