CN111220085A - Tunnel large deformation measurement method based on three-dimensional laser scanning point cloud data - Google Patents

Tunnel large deformation measurement method based on three-dimensional laser scanning point cloud data Download PDF

Info

Publication number
CN111220085A
CN111220085A CN202010034286.0A CN202010034286A CN111220085A CN 111220085 A CN111220085 A CN 111220085A CN 202010034286 A CN202010034286 A CN 202010034286A CN 111220085 A CN111220085 A CN 111220085A
Authority
CN
China
Prior art keywords
section
point
measuring
line
standard
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010034286.0A
Other languages
Chinese (zh)
Inventor
冷彪
侯高鹏
杨辉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Southwest Jiaotong University
Original Assignee
Southwest Jiaotong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Southwest Jiaotong University filed Critical Southwest Jiaotong University
Priority to CN202010034286.0A priority Critical patent/CN111220085A/en
Publication of CN111220085A publication Critical patent/CN111220085A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/16Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/002Measuring arrangements characterised by the use of optical techniques for measuring two or more coordinates

Abstract

The invention discloses a tunnel large deformation measurement method based on three-dimensional laser scanning point cloud data, which comprises the following steps: the method comprises the following steps: acquiring a reference surface F of a monitoring section through a tunnel plan; vertically projecting the point cloud data with the distance from the reference surface F smaller than the threshold value d to the reference surface F to obtain the projection of the point cloud data on the monitoring section; connecting the projections of the point cloud data in sequence to obtain an actually measured section of the monitored section; step two: obtaining a standard section of a monitored section through a tunnel design drawing, and unifying an actually measured section and the standard section into the same coordinate system through a base point to form a comparison drawing; step three: and establishing a corresponding relation between the standard measuring point of the standard section and the actual measuring point of the actual measuring section by using a line measuring method. The method is based on three-dimensional laser point cloud data, converts the three-dimensional point cloud data into two-dimensional measured section data by extracting a section, and establishes a corresponding relation between any point on a standard design section of the tunnel and the two-dimensional measured section by a line measurement method.

Description

Tunnel large deformation measurement method based on three-dimensional laser scanning point cloud data
Technical Field
The invention belongs to the technical field of tunnel monitoring and measuring, and particularly relates to a tunnel large deformation measuring method based on three-dimensional laser scanning point cloud data, which can quickly complete monitoring and measuring of tunnel horizontal convergence and vault settlement.
Background
The tunnel deformation refers to tunnel deformation caused by comprehensive influences on the tunnel caused by ground or peripheral building loads, soil disturbance, tunnel peripheral engineering construction, tunnel engineering structure construction and the like. The main purpose of deformation monitoring is to obtain the relative change of the object in different time periods, and the larger the change is, the larger the deformation is. The traditional tunnel deformation measuring technology adopts a contact measuring method, so that the measuring efficiency is low and the construction interference is large. The stability of authenticity and precision cannot be guaranteed due to manual reading of data, and the measured data lack authority as a basis for design change. And the traditional level, total station, convergence gauge and the like all adopt a single-point data acquisition mode. Although the monitoring precision is higher, a specific device needs to be placed at the position to be measured, the measuring workload is large, the cost is high, and the efficiency is low. And the measurement difficulty is higher in the region with complex terrain, and the safety of personnel can not be ensured. The photogrammetry method acquires image data of an area, and although the data volume is large, the accuracy is low. In contrast, when the three-dimensional laser scanner is adopted for data acquisition, a specific measuring device is not required to be placed at a measured position, and a point-to-surface data acquisition mode is realized. The defects of low speed, high manpower requirement and the like in the traditional data acquisition method are overcome, and the method has the advantages of high measurement speed, low manpower requirement, high reliability and the like. The three-dimensional laser scanning technology changes the traditional single-point deformation observation mode, and converts the traditional point measurement into the shape measurement. And can scan the place that survey crew can not directly reach and work, it is fast to have the operation cycle for traditional data acquisition method, easy to operate, measures advantages such as coverage wide, is that the quick acquisition is surveyed body data more is effective way.
Compared with the common tunnel deformation measurement technology, the three-dimensional laser scanning technology has the outstanding advantages and can directly acquire the three-dimensional coordinates of the surface of the scanned target object. The method has the main advantages that the high-precision measurement of the non-cooperative target is realized, the data is automatically and wirelessly transmitted, the surface space information of the whole observed object can be obtained in a point cloud mode, the deformation condition of the building engineering can be obtained through the analysis of point cloud data, the deformation analysis method is greatly improved, and the traditional fixed single-point analysis is expanded into the integral analysis. Therefore, deformation information of the construction engineering can be acquired better. Therefore, the three-dimensional laser scanning technology plays a very important role in deformation monitoring of large-scale engineering.
General deformation measurement techniques based on three-dimensional laser scanning are divided into two types: comparing with a design value and comparing point cloud data of two periods to perform deformation analysis. The laser point cloud data is compared with the measurement result of the total station to determine that the laser point cloud data is a more effective and reliable deformation monitoring means. However, the above deformation analysis method can only reflect the deformation result of the whole tunnel, and it is difficult to reflect the deformation history of the key control point of tunnel deformation.
Disclosure of Invention
The invention provides a tunnel large deformation measuring method based on three-dimensional laser scanning point cloud data, which realizes rapid measurement and analysis of the deformation convergence condition of a large deformation tunnel.
The technical scheme for realizing the aim of the invention is as follows:
a tunnel large deformation measurement method based on three-dimensional laser scanning point cloud data comprises the following steps:
the method comprises the following steps: acquiring a tunnel center line L ' through a tunnel design plan, finding a corresponding point P ' of a corresponding mileage of a monitoring section on the L ', making a vertical line V ' of the L ' through the point P ', and obtaining a reference plane F of the monitoring section through a vertical plane of the V '; vertically projecting the point cloud data with the distance from the reference surface F smaller than the threshold value d to the reference surface F to obtain the projection of the point cloud data on the monitoring section; connecting the projections of the point cloud data in sequence to obtain an actually measured section of the monitored section;
step two: obtaining a standard section of a monitored section through a tunnel design drawing, and unifying an actually measured section and the standard section into the same coordinate system through a base point to form a comparison drawing;
step three: establishing a corresponding relation between a standard measuring point of a standard section and an actually measured measuring point of an actually measured section by using a line measuring method; the line measurement method comprises a horizontal line measurement method and a vertical line measurement method, and specifically comprises the following steps:
a horizontal line method comprising:
setting a horizontal convergence measuring line at the horizontal convergence measuring point, wherein the intersection point of the horizontal convergence measuring line and the standard section is a standard measuring point, and the connecting line of the standard measuring points at the two sides is a standard measuring line H; a straight line which is perpendicular to the standard section is led from the standard measuring point to intersect with the actually measured section, the intersection point is the actually measured measuring point, and the connecting line of the actually measured measuring points at the two sides is an actually measured measuring line H';
the length difference between the standard measuring line and the horizontal measuring line is the accumulated value C at the horizontal convergence measuring point, namely C is H' -H;
cumulative value C of two-phase point cloud data1And C2The difference is the tunnel horizontal convergence value Hc in the two-phase point cloud data measurement time interval, i.e. Hc is equal to C1-C2
The ratio of the horizontal convergence value Hc to the time interval t measured by the two-stage point cloud data is a horizontal convergence speed V, namely V is Hc/t; a vertical metrology method comprising:
setting a vertical settlement measuring line at the vault settlement measuring point, wherein the intersection point of the vertical settlement measuring line and the standard section is a standard measuring point p, and the elevation of the measuring point p is Hp(ii) a A vertical line vertical to the standard section is led through the standard measuring point p, the intersection point of the vertical line and the measured section is a measured measuring point p ', and the elevation of the measured measuring point p' is Hp';
The height difference between the measured point and the standard measured point is the accumulated value S of the vault settlement measured point, namely S is Hp'-Hp
Cumulative value S of two-phase point cloud data1And S2The difference is the arch crown settlement value V ═ S in the two-phase point cloud data measuring time interval1-
S2
The method is based on three-dimensional laser point cloud data, converts the three-dimensional point cloud data into two-dimensional measured section data by extracting a section, and establishes a corresponding relation between any point on a standard design section of the tunnel and the two-dimensional measured section by a line measurement method. The method can monitor the deformation development condition of any key point on the section of the tunnel, collect multi-period point cloud data, draw a time course curve, master the deformation process of key control points (such as vault, arch springing, side wall and the like) of tunnel deformation, and further analyze the deformation trend and deformation characteristics of the whole tunnel. The method can be used for mastering the safety state of the tunnel structure and predicting the safety risk of the tunnel.
Drawings
FIG. 1 is a schematic diagram of projection of tunnel point cloud data in the present invention.
FIG. 2 is a schematic diagram of the horizontal line method of the present invention.
FIG. 3 is a schematic view of the vertical line measurement method of the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings.
The method comprises the following steps: and acquiring the geometric information of a tunnel central line L 'through a tunnel plan in a tunnel design drawing, wherein the tunnel central line L' is the projection of the tunnel central line on a horizontal plane. Through the corresponding mileage of the monitored section, a corresponding point P ' on the L ' is found, the passing point P ' is taken as a perpendicular line V ' of the L ', and a perpendicular plane (a plane passing through the line V ' and perpendicular to the ground plane) passing through the point P ' is a reference plane of the monitored section and is set as a plane F. Regarding the point cloud with the distance from the distance surface F smaller than the threshold value d, regarding the point cloud as belonging to the monitoring section, and vertically projecting the point cloud data to a reference surface F to obtain the projection of the point cloud data on the monitoring section; and connecting the point cloud projections according to a specified sequence (generally taking the counterclockwise direction as the positive direction), and obtaining the actual measurement section of the two-dimensional tunnel. See in particular fig. 1.
Step two: the standard section information of the tunnel at the monitored section can be obtained through a design drawing, and the actually measured section and the standard section are unified into the same coordinate system through a base point (the base point is the intersection point of the tunnel central line and the tunnel monitoring section in a three-dimensional space) to form a comparison graph. Step three: and (3) establishing a corresponding relation between a control point on the standard section and an actually measured section point by using a line measurement method, monitoring the point cloud data change condition at the control point, and analyzing the deformation trend of the tunnel structure so as to master the overall deformation and the safety state of the tunnel.
The line measurement method is divided into a horizontal line measurement method and a vertical line measurement method, and is respectively used for measuring horizontal convergence and vault settlement of the tunnel. The specific method comprises the following steps:
1. horizontal line method, refer to fig. 2:
setting a horizontal convergence measuring line at the horizontal convergence measuring point, wherein the intersection point of the measuring line and the standard (design) section is called a standard measuring point, and a connecting line of the measuring points marked on the two sides is called a standard measuring line and is set as H;
a vertical line perpendicular to the standard section is led to intersect with the actual measurement section at the standard measurement point, the intersection point is the actual measurement point, and a connecting line of the actual measurement points at the two sides is called as an actual measurement line and is set as H';
the length difference between the standard survey line and the horizontal survey line is the cumulative value of horizontal convergence at the survey point, and if C is set, C is H' -H;
the difference of the accumulated values of the point cloud data of two phases, that is, the horizontal convergence of the tunnel in the measurement time interval of the point cloud data of two phases is set as Hc, and then Hc is equal to C1-C2
The ratio of the horizontal convergence value Hc to the monitor time t is the horizontal convergence rate, and V is Hc/t.
2. Vertical line method, see fig. 3:
setting a vertical settlement survey line at the vault settlement survey point, the intersection point of the survey line and the standard (design) section as a standard survey point, setting p as p, and the elevation of p as Hp
Passing the vertical line perpendicular to the standard section, passing the standard measuring point, setting the intersection point of the measured measuring point and the measured section as the measured measuring point p', and setting the elevation as Hp';
The height difference between the measured point and the standard point is the accumulated value S of the tunnel vault settlement, and S is Hp'-Hp
Cumulative value of vault crown settlement twice in succession (S)1,S2) The difference value is the arch top settlement value V ═ S in the monitoring period1-S2
By the method, the corresponding relation between the control monitoring point on the standard section and the actually measured section point cloud data can be established, and further single-point and long-term monitoring of the deformation condition of the control point can be realized.

Claims (1)

1. A tunnel large deformation measurement method based on three-dimensional laser scanning point cloud data is characterized by comprising the following steps:
the method comprises the following steps: acquiring a tunnel center line L ' through a tunnel design plan, finding a corresponding point P ' of a corresponding mileage of a monitoring section on the L ', making a vertical line V ' of the L ' through the point P ', and obtaining a reference plane F of the monitoring section through a vertical plane of the V '; vertically projecting the point cloud data with the distance from the reference surface F smaller than the threshold value d to the reference surface F to obtain the projection of the point cloud data on the monitoring section; connecting the projections of the point cloud data in sequence to obtain an actually measured section of the monitored section;
step two: obtaining a standard section of a monitored section through a tunnel design drawing, and unifying an actually measured section and the standard section into the same coordinate system through a base point to form a comparison drawing;
step three: establishing a corresponding relation between a standard measuring point of a standard section and an actually measured measuring point of an actually measured section by using a line measuring method; the line measurement method comprises a horizontal line measurement method and a vertical line measurement method, and specifically comprises the following steps:
a horizontal line method comprising:
setting a horizontal convergence measuring line at the horizontal convergence measuring point, wherein the intersection point of the horizontal convergence measuring line and the standard section is a standard measuring point, and the connecting line of the standard measuring points at the two sides is a standard measuring line H; a straight line which is perpendicular to the standard section is led from the standard measuring point to intersect with the actually measured section, the intersection point is the actually measured measuring point, and the connecting line of the actually measured measuring points at the two sides is an actually measured measuring line H';
the length difference between the standard measuring line and the horizontal measuring line is the accumulated value C at the horizontal convergence measuring point, namely C is H' -H;
cumulative value C of two-phase point cloud data1And C2The difference is the tunnel horizontal convergence value Hc in the two-phase point cloud data measurement time interval, i.e. Hc is equal to C1-C2
The ratio of the horizontal convergence value Hc to the time interval t measured by the two-stage point cloud data is a horizontal convergence speed V, namely V is Hc/t;
a vertical metrology method comprising:
setting a vertical settlement measuring line at the vault settlement measuring point, wherein the intersection point of the vertical settlement measuring line and the standard section is a standard measuring point p, and the elevation of the measuring point p is Hp(ii) a A vertical line vertical to the standard section is led through the standard measuring point p, the intersection point of the vertical line and the measured section is a measured measuring point p ', and the elevation of the measured measuring point p' is Hp';
The height difference between the measured measuring point and the standard measuring point is the vault settlement measuring pointS, i.e. S ═ Hp'-Hp
Cumulative value S of two-phase point cloud data1And S2The difference is the arch crown settlement value in the two-phase point cloud data measuring time interval
V=S1-S2
CN202010034286.0A 2020-01-13 2020-01-13 Tunnel large deformation measurement method based on three-dimensional laser scanning point cloud data Pending CN111220085A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010034286.0A CN111220085A (en) 2020-01-13 2020-01-13 Tunnel large deformation measurement method based on three-dimensional laser scanning point cloud data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010034286.0A CN111220085A (en) 2020-01-13 2020-01-13 Tunnel large deformation measurement method based on three-dimensional laser scanning point cloud data

Publications (1)

Publication Number Publication Date
CN111220085A true CN111220085A (en) 2020-06-02

Family

ID=70829530

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010034286.0A Pending CN111220085A (en) 2020-01-13 2020-01-13 Tunnel large deformation measurement method based on three-dimensional laser scanning point cloud data

Country Status (1)

Country Link
CN (1) CN111220085A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113280798A (en) * 2021-07-20 2021-08-20 四川省公路规划勘察设计研究院有限公司 Geometric correction method for vehicle-mounted scanning point cloud under tunnel GNSS rejection environment

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11287650A (en) * 1998-04-01 1999-10-19 Mitsubishi Heavy Ind Ltd Measuring device for deformation of internal space of tunnel by use of optical fiber
US20030197655A1 (en) * 2002-04-22 2003-10-23 Mitsubishi Denki Kabushiki Kaisha Parallel displacement/inclination measuring apparatus and antenna system
JP3659069B2 (en) * 1999-06-24 2005-06-15 株式会社大林組 Measuring method of internal displacement of excavated section
CN204257101U (en) * 2014-11-18 2015-04-08 西南交通大学 A kind of tunnel teaching experiment model
CN106401643A (en) * 2016-08-31 2017-02-15 铁道第三勘察设计院集团有限公司 Tunnel back-break detection method based on laser-point cloud
CN106930784A (en) * 2017-03-08 2017-07-07 中交第二航务工程局有限公司 Tunnel monitoring method based on 3 D laser scanning
CN107288687A (en) * 2017-08-09 2017-10-24 招商局重庆交通科研设计院有限公司 Fracture belt constructing tunnel surface deformation monitoring system
CN109900208A (en) * 2019-03-28 2019-06-18 中铁十六局集团北京轨道交通工程建设有限公司 A kind of Tunneling by mining method excavation and first branch quality determining method
CN110130987A (en) * 2019-04-19 2019-08-16 同济大学 A kind of tunnel convergence deformation monitoring method based on image analysis

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11287650A (en) * 1998-04-01 1999-10-19 Mitsubishi Heavy Ind Ltd Measuring device for deformation of internal space of tunnel by use of optical fiber
JP3659069B2 (en) * 1999-06-24 2005-06-15 株式会社大林組 Measuring method of internal displacement of excavated section
US20030197655A1 (en) * 2002-04-22 2003-10-23 Mitsubishi Denki Kabushiki Kaisha Parallel displacement/inclination measuring apparatus and antenna system
CN204257101U (en) * 2014-11-18 2015-04-08 西南交通大学 A kind of tunnel teaching experiment model
CN106401643A (en) * 2016-08-31 2017-02-15 铁道第三勘察设计院集团有限公司 Tunnel back-break detection method based on laser-point cloud
CN106401643B (en) * 2016-08-31 2018-08-21 中国铁路设计集团有限公司 Tunnel Overbreak & Underbreak detection method based on laser point cloud
CN106930784A (en) * 2017-03-08 2017-07-07 中交第二航务工程局有限公司 Tunnel monitoring method based on 3 D laser scanning
CN107288687A (en) * 2017-08-09 2017-10-24 招商局重庆交通科研设计院有限公司 Fracture belt constructing tunnel surface deformation monitoring system
CN109900208A (en) * 2019-03-28 2019-06-18 中铁十六局集团北京轨道交通工程建设有限公司 A kind of Tunneling by mining method excavation and first branch quality determining method
CN110130987A (en) * 2019-04-19 2019-08-16 同济大学 A kind of tunnel convergence deformation monitoring method based on image analysis

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113280798A (en) * 2021-07-20 2021-08-20 四川省公路规划勘察设计研究院有限公司 Geometric correction method for vehicle-mounted scanning point cloud under tunnel GNSS rejection environment
CN113280798B (en) * 2021-07-20 2021-10-01 四川省公路规划勘察设计研究院有限公司 Geometric correction method for vehicle-mounted scanning point cloud under tunnel GNSS rejection environment

Similar Documents

Publication Publication Date Title
CN109459439B (en) Tunnel lining crack detection method based on mobile three-dimensional laser scanning technology
CN111197979B (en) Point cloud data analysis-based building detection method and device
CN101408410B (en) Tunnel volume element deformation movable monitoring system and method
CN103644896B (en) A kind of engineering geological mapping method based on 3 D laser scanning
CN107893437B (en) Large open caisson foundation construction real-time monitoring system based on remote wireless transmission technology
CN113587835A (en) Method for checking and accepting bridge engineering quality by using three-dimensional laser scanning technology
CN108733053A (en) A kind of Intelligent road detection method based on robot
CN104713491B (en) The method that the slope monitoring system of slope deforming three-dimensional data can be obtained and its obtain slope deforming three-dimensional data
CN109708615A (en) A kind of subway tunnel limit dynamic testing method based on laser scanning
CN107393006B (en) Method for measuring integral deformation of tunnel
CN112282847B (en) Deformation monitoring method for underground coal mine roadway
CN103758017A (en) Detection method and detection system for three-dimensional pavement elevation grid numerical value
CN104697502A (en) Method for extracting coordinates of building characteristic points based on least square method
CN102749623B (en) Method for testing ground sampling distance of high-accuracy remote sensing satellite based on target
CN104101296A (en) Digital positioning detection method and system in large-scale structure precision assembly
CN110763147A (en) Cofferdam deformation monitoring method based on three-dimensional laser scanning technology
CN113124782B (en) Construction perpendicularity detection method based on point cloud tolerance self-adaption
CN112965135B (en) Nondestructive detection comprehensive method for spatial heterogeneous distribution of grotto cliff body cracks
CN106840092B (en) Using the method for laser range finder monitoring high-supported formwork
CN112884647A (en) Embedded part construction positioning method based on BIM point cloud technology guidance
CN109682303A (en) Curve PC track girder precision three-dimensional detection method based on BIM technology
CN106813589B (en) With External floating roof tank real-time deformation monitoring method
CN111964599A (en) Highway high slope surface deformation monitoring and analyzing method based on oblique photogrammetry technology
CN111220085A (en) Tunnel large deformation measurement method based on three-dimensional laser scanning point cloud data
CN114998197A (en) Unmanned aerial vehicle-based transformer substation civil engineering structure health monitoring system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20200602

WD01 Invention patent application deemed withdrawn after publication