CN109991601A - A kind of house methods of risk assessment based on PS-InSAR technology - Google Patents
A kind of house methods of risk assessment based on PS-InSAR technology Download PDFInfo
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- CN109991601A CN109991601A CN201811443400.4A CN201811443400A CN109991601A CN 109991601 A CN109991601 A CN 109991601A CN 201811443400 A CN201811443400 A CN 201811443400A CN 109991601 A CN109991601 A CN 109991601A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
- G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
- G01S13/9021—SAR image post-processing techniques
- G01S13/9023—SAR image post-processing techniques combined with interferometric techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B15/00—Measuring arrangements characterised by the use of electromagnetic waves or particle radiation, e.g. by the use of microwaves, X-rays, gamma rays or electrons
- G01B15/06—Measuring arrangements characterised by the use of electromagnetic waves or particle radiation, e.g. by the use of microwaves, X-rays, gamma rays or electrons for measuring the deformation in a solid
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C5/00—Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
- G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. synthetic aperture radar [SAR] techniques
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of house methods of risk assessment based on PS-InSAR technology of interfering synthetic aperture radar technology technical field, obtain the PS point of house facade by Permanent scatterers synthetic aperture radar interferometry technology using N width SAR image data；According to the history sedimentation information and spatial distribution of PS point, PS point in single house is clustered, point can be good at indicating the small region Deposition Situation after cluster；To point after being clustered in single house, the slope between point pair is calculated, compares to obtain maximum inclination, and obtain inclination history curve, the judging basis as this house danger classes；On time dimension, by the method for signal processing, inclination timing curve is decomposed into two main components: regular periods deformation and piecewise linearity deformation, after removing periodic component, analyze the velocity variations of the time subregion of each identification, to detect abnormal speed and acceleration, comprehensive house type, largest cumulative sedimentation, slope evaluate house stability.
Description
Technical field
The present invention relates to interfering synthetic aperture radar technical field, specially a kind of house wind based on PS-InSAR technology
Dangerous appraisal procedure.
Background technique
Building settlement refers to the phenomenon that foundation deformation moves building when leaving initial position along gravity direction, causes to build
There are many factor for building sedimentation, including human factor during natural cause and building development & construction.In terms of comprehensive, building lot
Engineering geological condition, hydrogeologic condition, the physical property of soil, the seasonality and periodically change of atmospheric temperature and underground water
Change, building own load size, structure type, height and external loads are the main reason for causing building settlement.
The differential settlement of building easily causes difference of the structure because of stress of the foundation in house, and basis is caused to build
Collapsing, the sinking, translation for building object part, to destroy house integral structure.Because the non-uniform settlement issues of ground are held
The fracture of building main body caused by easily, there is crack in wall, structure is subjected to displacement, and causes building foundation and foundation soil
Formed in layer contact do not contact or contact it is not secured enough, be easy to allow whole building exist a stress and support unevenly
Situation in, cause building serious breakoff phenomenon occur.
House monitoring traditional at present includes the measurement of the level, GNSS measurement, hydrostatic leveling.
The measurement of the level: on ground, point-to-point transmission disposes level, observes the levelling staff that is erected in two o'clock, by reading on ruler
Calculate the height difference of point-to-point transmission.Usually by base leveling origin or any known elevational point, measured along selected leveling line done site by site
The elevation of each point.
GNSS measurement: four or more HA Global Positioning Satellites, receiver real-time reception satellite-signal are utilized, and resolves receiver
The position at place, achievees the effect that real-time monitoring.
Static level: static liquid level is the precision instrument for measuring height difference and its variation, and static liquid level is generally pacified
On the survey pier contour mounted in testee or on testee wall contour, integrated module automatic measurement list is generallyd use
Member acquisition data are connect, to realize automatic observation with computer by wired or wireless communication.
The deformation values of conventional settlement monitoring technology measuring point, its advantage is that:
(1) it is capable of providing the deformation state of deformable body entirety；
(2) it is suitable for different monitoring accuracies, various forms of deformable bodys and different monitoring environment；
(3) absolute deformation information can be provided
Urban house is large number of, is monitored using the measurement of the level and inclination measurement, needs to expend a large amount of manpower object
Power；Traditional monitoring, general measure is absolute value instantly, and expection can not be made to future, at high cost, needs to coordinate certain special
Industry technical staff measures work together, and response speed is slow, and urban house is numerous, and by a measurement, time span is longer, work
Journey amount is huge, and the degree of automation is low, and manpower is participated in the overall process.
InSAR technology can high efficiency, high quality monitor house, InSAR technology by radar satellite to target area send out
Microwave is penetrated, the echo of target reflection is then received, the SAR complex pattern pair of same target area imaging is obtained, if complex pattern is to it
Between there are coherent condition, SAR complex pattern obtains twice the available interference pattern of conjugate multiplication according to the phase value of interference pattern
The path length difference of microwave in imaging, to calculate the landform of objective area, landforms and the minor change on surface, precision reaches milli
Meter level.
InSAR monitoring house has the following advantages:
(1) precision is high
(2) monitoring range is wide
(3) high degree of automation
Based on this, the present invention devises a kind of house methods of risk assessment based on PS-InSAR technology, above-mentioned to solve
Problem.
Summary of the invention
The purpose of the present invention is to provide one kind can high efficiency, high quality monitor house, precision is high, monitoring range is wide,
The house methods of risk assessment based on PS-InSAR technology of high degree of automation, to solve mentioned above in the background art ask
Topic.
To achieve the above object, the invention provides the following technical scheme: a kind of house risk based on PS-InSAR technology
Appraisal procedure, specific step is as follows for house methods of risk assessment of this kind based on PS-InSAR technology:
S1: selecting the most suitable time series SAR image in target area, meet time interval it is more excellent, without thunderstorm image etc.
Condition generates InSAR large database concept, imports the house vector frame of target area, and traversal search determines the PS in every building
Point records PS point quantity in every building；
S2: finding out the building that PS point quantity is 0, and this kind of no observation information of building can not make evaluation, for PS quantity
Building greater than 0 carries out clustering processing, and rejects unusual PS point；The quantity and spatial distribution put after judgement cluster, differentiate house
Type is divided into I, II two types；
S3: I class house can not calculate inclination, obtain this house most by comparing the accumulative sedimentation put after each cluster
Big sedimentation information, II class house can calculate inclination and maximum settlement simultaneously, and calculating maximum settlement mode is consistent with I class house,
Inclination calculate point pair between differential settlement obtained divided by distance, take in the house in put pair between maximum inclination, commented as subsequent
Sentence mark；
S4: getting the subsidence curve and trend curve of house key point, excavates timing and settles information, analyzes recent shape
Whether variable Rate accelerates, and whether rate of deformation is excessive in the recent period, as subsequent judgment criteria；
S5: it is based on InSAR big data, comprehensive house type, house monitor that maximum settlement, building detection incline to maximum
Tiltedly, the recent rate of deformation in the recent rate of deformation in house, house accelerates situation, evaluates house risk.
Preferably, clustering processing is to take this cluster coordinate mean value according to coordinate is put after cluster in the step S2, after cluster
Point timing settling amount is this cluster timing settling amount mean value, when the distance of all-pair is both greater than between ten meters or all-pair
Curve similarity degree is both less than threshold value, and hierarchical clustering is completed.
Preferably, I class house is that a cluster point or multiple cluster points are not greater than distance threshold in the step S3
Point pair.
Preferably, II class house is that at least there are two convergence points in the step S3.
Preferably, timing sedimentation information includes the estimation for including cyclical component, breakpoint determination of amount, breaks in the S4
Put the determination of position, the fitting of segmented linear.
Preferably, the estimation model of the cyclical component are as follows:
Using m breakpoint multiple linear regression model is had, PS point nonliner equation group is analyzed, periodicity is decomposed into
Sedimentation, linearly two parts of sedimentation:
Wherein, diThe settling amount at i moment, v is segmentation rate, and b is segmentation intercept, and t is observation time sequence, A andIt is
Periodically deforming coefficient is identical in entire monitoring cycle.
Preferably, the determination of the breakpoint determination of amount and breakpoint location uses dynamic programming techniques, according to breakpoint number
Amount and breakpoint location are based on iterative least square, minimize residual sum of squares (RSS) and calculate segmentation slope, segmentation intercept.
Compared with prior art, the beneficial effects of the present invention are: the present invention is by radar satellite, by being repeated several times to mesh
The measurement for marking region, can get and build fine, miniature deformation, and InSAR monitoring accuracy can reach mm grades；Satellite monitoring
Range is wide, and whole picture image can cover entire city；Speed is fast, and human intervention is few, this set system only needs early period minute quantity artificial
Intervene, risk report can be provided in real time automatically.For object detection area, can it is quick, efficiently, accurately provide house wind
Danger report.
InSAR technology can high efficiency, high quality monitor house, precision is high, monitoring range is wide, high degree of automation.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is Check System flow chart in house of the present invention；
Fig. 2 is risk rating flow chart in house of the present invention；
Fig. 3 is Time-Series analysis flow chart of the present invention；
Fig. 4 is Time-Series analysis flow chart of the present invention；
Fig. 5 is PSP-InSAR data result display diagram of the present invention；
Fig. 6 is that single house PS point of the present invention is distributed display diagram；
Fig. 7 is to put display diagram after single house of the present invention clusters；
Fig. 8 is point initial sedimentation curve graph after present invention cluster；
Fig. 9 is point sectional linear fitting line chart after present invention cluster；
Figure 10 is initial dip curve graph of the present invention；
Figure 11 is sectional linear fitting rear-inclined line chart of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1-4 is please referred to, the present invention provides a kind of technical solution: a kind of house risk assessment based on PS-InSAR technology
Method, specific step is as follows for house methods of risk assessment of this kind based on PS-InSAR technology:
S1: selecting the most suitable time series SAR image in target area, meet time interval it is more excellent, without thunderstorm image etc.
Condition generates InSAR large database concept, imports the house vector frame of target area, and building projects to ground, and what is obtained is two-dimensional closed
Edge line is known as architectural vector frame, reflection building external profile that can be succinct, and has house vector frame angular coordinate, traverses
PS point is distributed in each architectural vector frame according to the angular coordinate information of the coordinate information of PS and house, determines every by search
PS point in building records PS point quantity in every building；
S2: finding out the building that PS point quantity is 0, and this kind of no observation information of building can not make evaluation, for PS quantity
Building greater than 0 carries out clustering processing, according to coordinate is put after cluster, takes this cluster coordinate mean value, puts timing settling amount after cluster
For this cluster timing settling amount mean value, when the distance of all-pair is both greater than the curve similarity degree between ten meters or all-pair
Both less than threshold value, hierarchical clustering are completed, and reject unusual PS point, and singular point is generally met farther out and curve phase with larger PS point group
It is very low like spending, judge the quantity and spatial distribution put after cluster, the point after cluster, due to doing multiple averaging, it is suppressed that random
Noise can be good at small range regional subsidence situation where describing the point, and reliability is improved, after cluster,
Every building can have point after cluster in varying numbers, according to the cluster point quantity and spatial distribution in house vector frame, determine
Type of house is divided into I, II two types；
S3: I class house, I class house are the point pair that a cluster point or multiple clusters point are not greater than distance threshold, nothing
Method calculates inclination, and in this case, the measured settlement put after cluster will be used to assess, by comparing point after each cluster
Accumulative sedimentation obtain the maximum settlement information in this house, II class house, II class house be at least there are two convergence point, for
Two kinds of various criterions of identification potential danger situation: maximum value measured settlement and maximum actual measurement can be used in such building
Relative settlement value can calculate inclination and maximum settlement simultaneously, and calculating maximum settlement mode is consistent with I class house, and inclination is meter
Differential settlement is obtained divided by distance between calculating point pair, maximum inclination between point pair is taken, as subsequent judge mark in the house in；
Composition point pair two-by-two is put there are point after multiple clusters in II class house after cluster, if distance between two points are greater than threshold value,
The sedimentation difference for calculating point-to-point transmission obtains the tilting value of point-to-point transmission divided by distance.And it solves largest cumulative tilting value in house and uses
The danger classes in house is judged in the later period；
S4: getting the subsidence curve and trend curve of house key point, excavates timing and settles information, timing sedimentation letter
Breath includes the estimation for including cyclical component, breakpoint determination of amount, the determination of breakpoint location, the fitting of segmented linear, described
The estimation model of cyclical component are as follows:
Using m breakpoint multiple linear regression model is had, PS point nonliner equation group is analyzed, periodicity is decomposed into
Sedimentation, linearly two parts of sedimentation:
Wherein, diThe settling amount at i moment, v is segmentation rate, and b is segmentation intercept, and t is observation time sequence, A andIt is
Periodically deforming coefficient is identical in entire monitoring cycle.
Periodic component describes a regular stretching motion, and amplitude is different in different targets.Piecewise linearity
Component represents the trend deformed in each time subregion, this is important risk assessment index.For most of PS points, heat expansion is cold
Contracting is the main source of cyclical component in PS sedimentation growth curve, is periodically divided so describing this with sinusoidal model
Amount.
By dynamic programming techniques, for determining breakpoint number, breakpoint location；Based on iterative least square, minimize residual
Poor quadratic sum calculates segmentation slope, segmentation intercept.The minimum length of each time interval and maximum interruption times can be according to spies
Determine PS point sedimentation situation to be adjusted: the maximum length of the more high corresponding time subregion of the noise level of PS displacement measurement is smaller, makes an uproar
The maximum length of the more low corresponding time subregion of sound level is bigger.In general, single PS point is more much higher than spot noise level after cluster.Cause
This, is by using point after cluster, rather than single PS point, it can help to detect more unexpected variation, and there is higher confidence
Degree.
Analyze whether recent rate of deformation accelerates, and whether rate of deformation is excessive in the recent period, as subsequent judgment criteria；
S5: it is based on InSAR big data, comprehensive house type, house monitor that maximum settlement, building detection incline to maximum
Tiltedly, the recent rate of deformation in the recent rate of deformation in house, house accelerates situation, evaluates house risk.
Risk judgement:
0 class house: due to there is no PS point in house vector frame, risk judgement can not be carried out to house
I class house: finding out point after the cluster of maximum settlement, and calculate recent rate of deformation, judges whether sedimentation is exceeded, with
And whether sedimentation accelerates in the recent period.
II class house: finding out point after the cluster of maximum settlement, and calculate recent rate of deformation, judges whether sedimentation is exceeded,
And whether sedimentation accelerates in the recent period；Maximum inclination value is found out, judges whether to be more than threshold value, and calculate recent Ramp rates, judges
Whether accelerate.
Embodiment one
Using total 57 phase SAR datas, spatial resolution is 3m × 3m, and breadth 40km, time interval is more uniform, when
Between interval be about one phase of January, the quality of data is more excellent.
Using PSP algorithm, InSAR large database concept is produced, amounts to more than 1,000 ten thousand PS points, sees Fig. 5.
Corresponding PS point in every house is obtained by traversal, reduces data redundancy, abnormal value elimination using cluster.Such as figure
It is PS point distribution situation in certain house shown in 6, total to have 44 PS points, Fig. 7 shows cluster point distribution feelings in certain house
Condition, altogether there are two point after cluster, two o'clock is met 14 meters.
See that Fig. 8, Fig. 9, Figure 10 and Figure 11 to settling data and trend curve Time-Series analysis, filter out periodical variable, determines
Breakpoint number, breakpoint location, segmentation slope, segmentation intercept.
Type of house is II, and adding up inclination is -1.7 ‰, and house risk class is 3.
In the description of this specification, the description of reference term " one embodiment ", " example ", " specific example " etc. means
Particular features, structures, materials, or characteristics described in conjunction with this embodiment or example are contained at least one implementation of the invention
In example or example.In the present specification, schematic expression of the above terms may not refer to the same embodiment or example.
Moreover, particular features, structures, materials, or characteristics described can be in any one or more of the embodiments or examples to close
Suitable mode combines.
Present invention disclosed above preferred embodiment is only intended to help to illustrate the present invention.There is no detailed for preferred embodiment
All details are described, are not limited the invention to the specific embodiments described.Obviously, according to the content of this specification,
It can make many modifications and variations.These embodiments are chosen and specifically described to this specification, is in order to better explain the present invention
Principle and practical application, so that skilled artisan be enable to better understand and utilize the present invention.The present invention is only
It is limited by claims and its full scope and equivalent.
Claims (7)
1. a kind of house methods of risk assessment based on PS-InSAR technology, which is characterized in that this kind is based on PS-InSAR technology
House methods of risk assessment specific step is as follows:
S1: selecting the most suitable time series SAR image in target area, meet time interval it is more excellent, without conditions such as thunderstorm images,
InSAR large database concept is generated, the house vector frame of target area is imported, traversal search determines the PS point in every building, record
PS point quantity in every building；
S2: finding out the building that PS point quantity is 0, and this kind of no observation information of building can not make evaluation, PS quantity is greater than
0 building carries out clustering processing, and rejects unusual PS point；The quantity and spatial distribution put after judgement cluster, differentiate house class
Type is divided into I, II two types；
S3: I class house can not calculate inclination, show that the maximum in this house is heavy by comparing the accumulative sedimentation put after each cluster
Information drops, and II class house can calculate inclination and maximum settlement simultaneously, and calculating maximum settlement mode is consistent with I class house, inclination
Differential settlement is obtained divided by distance between calculating point pair, takes maximum inclination between point pair in the house in, as subsequent judge mark
Note；
S4: getting the subsidence curve and trend curve of house key point, excavates timing and settles information, analyzes recent deformation speed
Whether rate accelerates, and whether rate of deformation is excessive in the recent period, as subsequent judgment criteria；
S5: it is based on InSAR big data, comprehensive house type, house monitor maximum settlement, building detection to maximum inclination, room
The recent rate of deformation in the recent rate of deformation in room, house accelerates situation, evaluates house risk.
2. a kind of house methods of risk assessment based on PS-InSAR technology according to claim 1, it is characterised in that: institute
Stating clustering processing in step S2 is to take this cluster coordinate mean value, point timing settling amount is to be somebody's turn to do after cluster according to coordinate is put after cluster
Point cluster timing settling amount mean value, when to be both greater than the curve similarity degree between ten meters or all-pair all small for the distance of all-pair
In threshold value, hierarchical clustering is completed.
3. a kind of house methods of risk assessment based on PS-InSAR technology according to claim 1, it is characterised in that: institute
Stating I class house in step S3 is the point pair that a cluster point or multiple clusters point are not greater than distance threshold.
4. a kind of house methods of risk assessment based on PS-InSAR technology according to claim 1, it is characterised in that: institute
Stating II class house in step S3 is that at least there are two convergence points.
5. a kind of house methods of risk assessment based on PS-InSAR technology according to claim 1, it is characterised in that: institute
Stating timing sedimentation information in S4 includes the estimation for including cyclical component, breakpoint determination of amount, the determination of breakpoint location, segmentation
The fitting of straight line.
6. a kind of house methods of risk assessment based on PS-InSAR technology according to claim 5, it is characterised in that: institute
State the estimation model of cyclical component are as follows:
Using m breakpoint multiple linear regression model is had, PS point nonliner equation group is analyzed, it is periodically heavy to be decomposed into
Drop, linearly two parts of sedimentation:
Wherein, diThe settling amount at i moment, v is segmentation rate, and b is segmentation intercept, and t is observation time sequence, A andIt is the period
Property deformation coefficient, is identical in entire monitoring cycle.
7. a kind of house methods of risk assessment based on PS-InSAR technology according to claim 5, it is characterised in that: institute
The determination for stating breakpoint determination of amount and breakpoint location is based on using dynamic programming techniques according to breakpoint quantity and breakpoint location
Iterative least square minimizes residual sum of squares (RSS) and calculates segmentation slope, segmentation intercept.
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| CN110568440A (en) * | 2019-09-10 | 2019-12-13 | 四川省地质工程勘察院集团有限公司 | method for monitoring deformation of complex mountain area based on DS-InSAR technology |
| CN110888132A (en) * | 2019-11-22 | 2020-03-17 | 深圳市城市公共安全技术研究院有限公司 | Bridge deformation analysis method and system based on InSAR monitoring |
| CN111308468A (en) * | 2019-11-27 | 2020-06-19 | 北京东方至远科技股份有限公司 | Method for automatically identifying deformation risk area based on In SAR technology |
| CN111308469A (en) * | 2019-11-27 | 2020-06-19 | 北京东方至远科技股份有限公司 | Building elevation measurement method based on PSInSAR technology |
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| CN112923900A (en) * | 2021-02-04 | 2021-06-08 | 浙江省水利河口研究院(浙江省海洋规划设计研究院) | Method and device for judging uneven settlement of building based on RS technology |
| CN112986948A (en) * | 2021-04-20 | 2021-06-18 | 北京东方至远科技股份有限公司 | Building deformation monitoring method and device based on InSAR technology |
| EP4113158A1 (en) | 2021-06-28 | 2023-01-04 | Planetek Italia S.r.l. | System for determining the priority of inspection of satellite remotely sensed objects and method thereof |
| CN115585785A (en) * | 2022-10-26 | 2023-01-10 | 四川省公路规划勘察设计研究院有限公司 | InSAR evaluation method for urban road settlement |
| CN117889824A (en) * | 2024-03-14 | 2024-04-16 | 四川高速公路建设开发集团有限公司 | Structural settlement deformation monitoring method, device, equipment and storage medium |
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