CN109631768B - Device and method for monitoring two-dimensional displacement of structure - Google Patents
Device and method for monitoring two-dimensional displacement of structure Download PDFInfo
- Publication number
- CN109631768B CN109631768B CN201811552448.9A CN201811552448A CN109631768B CN 109631768 B CN109631768 B CN 109631768B CN 201811552448 A CN201811552448 A CN 201811552448A CN 109631768 B CN109631768 B CN 109631768B
- Authority
- CN
- China
- Prior art keywords
- target
- monitoring device
- computing module
- displacement
- embedded computing
- 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.)
- Active
Links
- 238000006073 displacement reaction Methods 0.000 title claims abstract description 79
- 238000012544 monitoring process Methods 0.000 title claims abstract description 21
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000012806 monitoring device Methods 0.000 claims abstract description 58
- 239000000428 dust Substances 0.000 claims abstract description 12
- 238000003384 imaging method Methods 0.000 claims description 44
- 238000012937 correction Methods 0.000 claims description 17
- 238000004891 communication Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 2
- 238000005259 measurement Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 230000007774 longterm Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000004062 sedimentation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/022—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention discloses a two-dimensional displacement monitoring device and method for a structural object, wherein the device comprises a target, a monitoring device and a three-axis adjusting cradle head, the target is arranged on the structural object to be monitored, the three-axis adjusting cradle head is arranged at a stable position relative to the structural object, the monitoring device is arranged on the three-axis adjusting cradle head, and the position of the monitoring device corresponds to the target. The monitoring device sequentially comprises a dust cover, an objective lens, an ocular lens, a CCD camera and an embedded computing module from front to back, and also comprises a dust-proof switch device and a solar power system. The embedded computing module is used for running an image recognition and dynamic algorithm, the dynamic algorithm can solve the distortion problem of the CCD camera, the CCD camera can be calibrated on site, and the camera does not need to be detached periodically for factory maintenance calibration. The monitoring device can simultaneously measure the horizontal displacement and the vertical displacement, can realize that one monitoring device simultaneously monitors a plurality of targets, greatly simplifies on-site instrument layout, and simultaneously reduces monitoring cost.
Description
Technical Field
The invention relates to a monitoring device and a monitoring method, in particular to a device and a method for monitoring two-dimensional displacement of a structural object.
Background
The two most important physical quantities for safety monitoring of civil engineering structures are: sedimentation and horizontal displacement. The existing device for monitoring the displacement of the structure is usually carried out separately, the settlement of the structure is generally measured by using a static leveling device, the horizontal displacement of the structure is measured by using a laser sensor, and a datum point is required to be arranged at a relatively stable position for both the horizontal displacement and the settlement displacement, so that the device is relatively complicated to lay on site, and a two-dimensional monitoring device capable of measuring both the horizontal displacement and the vertical displacement is lacking.
Meanwhile, the existing static leveling system has the problems that the measurement accuracy is not enough and the long-term stability is not good generally, and by adopting laser level monitoring, one laser emitter can only correspond to one measuring point, and a plurality of laser emitters need to be installed when monitoring a plurality of positions of a structure. Structures generally require long-term monitoring and therefore also require long-term maintenance of the instrument, both labor and expense.
Disclosure of Invention
The invention provides a device and a method for monitoring two-dimensional displacement of a structure.
The invention aims to solve the problems that the existing device for monitoring the displacement of a structure is single in measurement and lacks a two-dimensional monitoring device capable of monitoring horizontal displacement and vertical displacement.
The technical scheme adopted for solving the technical problems is as follows: the utility model provides a structure two-dimensional displacement monitoring devices, includes target, monitoring devices and triaxial regulation cloud platform, the target is located on the structure that waits to monitor, triaxial regulation cloud platform is located for the firm position of structure, and monitoring devices installs on triaxial regulation cloud platform, monitoring devices position corresponds with the target.
The three-axis adjusting cradle head can adjust the direction of the monitoring device through the adjusting base.
The monitoring device sequentially comprises a dust cover, an objective lens, an ocular lens, a CCD camera and an embedded computing module from front to back, and also comprises a dust-proof switch device and a solar power system. The dustproof switch device is positioned at the bottom of the monitoring device, contacts with the dust cover and is used for controlling the switch of the dust cover. The solar power system is connected with the embedded computing module, the CCD camera and the dustproof switch device through cables.
The embedded computing module comprises a signal transmitter, and the signal transmitter is in wireless communication connection with the cloud server. The embedded computing module is used for running an image recognition and dynamic algorithm, the dynamic algorithm comprises a dynamic proportion correction algorithm and a dynamic local window algorithm, the dynamic algorithm can solve the distortion problem of the CCD camera, the CCD camera can be calibrated on site, and the camera does not need to be detached to a factory to be maintained and calibrated regularly.
A method based on a two-dimensional displacement monitoring device of a structure comprises the following steps: the method comprises the steps of installing targets at selected positions of one or more structures to be monitored, installing a three-axis adjusting holder at selected positions which are stable relative to the structures, fixing the monitoring device on the three-axis adjusting holder, and adjusting a base of the three-axis adjusting holder to enable the monitoring device to correspond to the positions of the targets to be monitored.
After the on-site monitoring device is laid, the embedded computing module collects image data of each target, and the collected program is as follows:
The embedded computing module controls the dustproof switch device to open the dustproof cover, the CCD camera collects initial image position data of each target, after collection is finished, the embedded computing module controls the dustproof switch device to close the dustproof cover, the embedded computing module records the initial image position data of all targets, and performs calibration, and the data are initialized, so that the targets are positioned at the initial image position X 0＝0,Y0 =0. And then the embedded computing module monitors all targets for a long time according to the set frequency.
When the ith image position data of a certain target is acquired, in the same manner, the embedded computing module controls the dustproof switch device to open the dust cover, the CCD camera acquires the ith position data of the target, after the acquisition is finished, the embedded computing module controls the dustproof switch device to close the dust cover, the embedded computing module converts the two-time position data change of the acquired image into imaging displacement, records the imaging displacement Xi Imaging system ,Yi Imaging system of the ith image of the target in two directions, processes the imaging displacement Xi Imaging system ,Yi Imaging system through a dynamic proportion correction algorithm, and finally obtains accurate Xi and Yi.
The reason for the dynamic proportion correction algorithm is that: at the initial position of the target, the image acquisition pixels are matched with the actual size of the target, the more the target deviates from the initial position, the larger the deviation between the image acquisition pixels and the actual size is, and the embedded computing module can correct the acquired image displacement Xi Imaging system and Yi Imaging system by adopting a dynamic proportion correction algorithm, so that distortion is eliminated, and the acquired data is improved in precision. The dynamic ratio correction algorithm is as follows.
When the ith image displacement is acquired, the imaging displacement in the X direction is Xi Imaging system , and the imaging displacement in the Y direction is Yi Imaging system .
In the ith image displacement acquisition, the correction displacement in the X direction is Xi, and the correction displacement in the Y direction is Yi.
The actual dimension of the target in the X direction is Lx, and the actual dimension of the target in the Y direction is Ly.
When the ith image displacement is acquired, the imaging size in the X direction is Lxi, and the imaging size in the Y direction is Lyi.
When the ith image displacement is acquired, the dynamic proportion correction coefficients of the X direction and the Y direction are as follows:
Rxi＝Lx/Lxi Ryi＝Ly/Lyi
When the i-1 th image displacement acquisition is carried out, the imaging size in the X direction is Lx (i-1), and the imaging size in the Y direction is Ly (i-1).
Dynamic proportion correction coefficients in X direction and Y direction during the i-1 th image displacement acquisition:
Rx(i-1)＝Lx/Lx(i-1) Ry(i-1)＝Ly/Ly(i-1)
The displacement of the target corrected by the dynamic proportion correction coefficient in two directions is as follows:
Xi＝Xi Imaging system [Rxi+Rx(i-1)]/2 Yi＝Yi Imaging system [Ryi+Ry(i-1)]/2
meanwhile, the invention also provides a dynamic local window algorithm, so that the calculated amount of displacement data is greatly reduced, and all monitoring data can be operated and calculated in a local micro embedded calculation module without transmitting the data to a remote computer for calculation.
The dynamic local window algorithm is that the embedded computing module locks the last recorded target position when searching the imaging position of the target, and searches and computes only in a certain range of the position. The certain range is user settable, and generally the upper limit value of the displacement change is increased in each of the two directions for the boundary position of the previous target. Once the embedded computing module does not search the imaging position of the target within the range, the target displacement exceeds the upper limit value, and the embedded computing module does not need larger-range searching computation and immediately sends out early warning information.
The monitoring device carries out uninterrupted measurement on the image positions of all targets according to the set frequency, and stores displacement data Xi and Yi which are measured and processed each time.
The embedded computing module uploads displacement data of the target to the cloud server through the signal transmitter, so that workers can monitor and analyze the displacement data remotely.
When Xi is larger than the initial set horizontal displacement alarm value or Yi is larger than the initial set vertical displacement alarm value, the embedded computing module sends early warning information to the cloud server and sends an alarm to a remote computer or a mobile phone of a worker.
The beneficial effects of the invention are as follows: according to the two-dimensional displacement monitoring device and method for the structural object, disclosed by the invention, the measurement of structural object displacement data is realized through uninterrupted shooting of a target on the structural object, the embedded computing module is arranged in the monitoring device, the recorded target image is subjected to distortion processing, the target displacement is corrected, the monitoring precision of the structural object displacement is improved, and meanwhile, the problems of complex operation and large computing capacity are solved by adopting a dynamic local window algorithm, so that all monitoring data can be operated and computed in the local miniature embedded computing module. The monitoring device can simultaneously measure the horizontal displacement and the vertical displacement, can realize that one monitoring device simultaneously monitors a plurality of targets, greatly simplifies on-site instrument layout, and simultaneously reduces monitoring cost.
Drawings
FIG. 1 is a schematic diagram of the operation of the two-dimensional displacement monitoring device for a structure according to the present invention.
Fig. 2 is a schematic diagram of the displacement of the target.
Fig. 3 is a schematic structural diagram of the monitoring device.
Detailed Description
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
As shown in the figure, an embodiment of the two-dimensional displacement monitoring device for a structural object is provided, the two-dimensional displacement monitoring device comprises a target 1, a monitoring device 2 and a three-axis adjusting holder 4, wherein the target 1 is arranged on the structural object 3 to be monitored, the three-axis adjusting holder 4 is arranged at a stable position relative to the structural object 3, the monitoring device 2 is arranged on the three-axis adjusting holder 4, and the position of the monitoring device 2 corresponds to the target 1.
The three-axis adjusting cradle head 4 can adjust the direction of the monitoring device 2 through the adjusting base 41.
The monitoring device 2 sequentially comprises a dust cover 26, an objective lens 21, an eyepiece 22, a CCD camera 23 and an embedded computing module 24 from front to back, and also comprises a dust-proof switch device 27 and a solar power system 25. The dust-proof switch device 27 is located at the bottom of the monitoring device 2, contacts the dust cover 26, and is used for controlling the switch of the dust cover 26. The solar power system 25 is connected with the embedded computing module 24, the CCD camera 23 and the dustproof switch device 27 through cables.
The embedded computing module 24 includes a signal transmitter, and the signal transmitter is connected with the cloud server in a wireless communication manner. The embedded computing module 24 runs image recognition and dynamic algorithms, including dynamic scale modification algorithms and dynamic local window algorithms.
A method based on a two-dimensional displacement monitoring device of a structure is as follows.
The target 1 is installed at one or more selected positions of the structure 3 to be monitored, the triaxial adjustment head 4 is installed at a selected stable position relative to the structure 3, the monitoring device 2 is fixed on the triaxial adjustment head 4, and the base 41 of the triaxial adjustment head 4 is adjusted to enable the monitoring device 2 to correspond to the positions of the targets 1 to be monitored.
After the on-site monitoring device is laid out, the embedded computing module 24 collects image data of each target 1, and the collected program is as follows:
The embedded computing module 24 controls the dustproof switch device 27 to open the dustproof cover 26, the CCD camera 23 collects initial image position data of each target 1, after the collection is finished, the embedded computing module 24 controls the dustproof switch device 27 to close the dustproof cover 26, the embedded computing module 24 records the initial image position data of all targets 1, performs calibration, initializes the data, and enables the targets 1 to be in an initial image position X 0＝0,Y0 =0. The embedded computing module 24 then monitors all targets 1 for a long period of time at the set frequency.
The method comprises the steps that ith image position data acquisition is carried out on one target 1, the embedded computing module 24 controls the dustproof switching device 27 to open the dustproof cover 26, the CCD camera 23 acquires the ith position data of the target 1, after acquisition is finished, the embedded computing module 24 controls the dustproof switching device 27 to close the dustproof cover 26, the embedded computing module 24 adopts a dynamic local window algorithm to lock the last recorded target position to search the imaging position of the target 1, the position data of the current acquired image and the position data of the last acquired image are compared and calculated after searching, and the imaging displacement Xi Imaging system of the current position data acquisition of the target in the X direction and the imaging displacement Yi Imaging system of the target in the Y direction are converted.
The embedded calculating module 24 calculates the ith imaging dimension Lxi and the ith-1 imaging dimension Lx (i-1) of the target 1 in the X direction and the ith imaging dimension Lyi and the ith-1 imaging dimension Lx (i-1) in the Y direction at the same time, and calculates the twice dynamic ratio correction coefficients in the X direction and the Y direction as follows:
Rxi＝Lx/Lxi Ryi＝Ly/Lyi
Rx(i-1)＝Lx/Lx(i-1) Ry(i-1)＝Ly/Ly(i-1)
carrying out displacement correction of the target 1 in two directions by using the average value of the dynamic proportion correction coefficients of the two times to obtain displacement data of the target 1 in the ith time:
Xi＝Xi Imaging system [Rxi+Rx(i-1)]/2 Yi＝Yi Imaging system [Ryi+Ry(i-1)]/2
the monitoring device 2 performs uninterrupted measurement of the image positions of the respective targets 1 according to the set frequency, and stores displacement data Xi and Yi measured and processed each time.
The embedded computing module 24 uploads the displacement data of the target 1 to the cloud server through the signal transmitter for the staff to monitor and analyze remotely.
When Xi is greater than the initial set horizontal displacement alarm value, or Yi is greater than the initial set vertical displacement alarm value, the embedded computing module 24 sends the early warning information to the cloud server, and simultaneously sends an alarm to the remote computer or the mobile phone of the staff.
According to the two-dimensional displacement monitoring device and method for the structural object, disclosed by the invention, the measurement of structural object displacement data is realized through uninterrupted shooting of a target on the structural object, the embedded computing module is arranged in the monitoring device, the recorded target image is subjected to distortion processing, the target displacement is corrected, the monitoring precision of the structural object displacement is improved, and meanwhile, the problems of complex operation and large computing capacity are solved by adopting a dynamic local window algorithm, so that all monitoring data can be operated and computed in the local miniature embedded computing module. The monitoring device can simultaneously measure the horizontal displacement and the vertical displacement, can realize that one monitoring device simultaneously monitors a plurality of targets, greatly simplifies on-site instrument layout, and simultaneously reduces monitoring cost.
Claims (3)
1. The method based on the two-dimensional displacement monitoring device of the structure is characterized by comprising the following steps of:
Installing targets (1) at selected positions of one or more structures (3) to be monitored, installing a three-axis adjusting holder (4) at selected stable positions relative to the structures (3), fixing the monitoring device (2) on the three-axis adjusting holder (4), and adjusting a base (41) of the three-axis adjusting holder (4) to enable the positions of the monitoring device (2) and the targets (1) to be monitored to correspond;
The embedded computing module (24) controls the dustproof switch device (27) to open the dustproof cover (26), the CCD camera (23) collects initial image position data of each target (1), after collection is finished, the embedded computing module (24) controls the dustproof switch device (27) to close the dustproof cover (26), the embedded computing module (24) records the initial image position data of all targets (1), and performs calibration, and the data are initialized, so that the targets (1) are in the initial image positions x0=0 and y0=0; then the embedded computing module (24) monitors all targets (1) for a long time according to the set frequency;
When the ith image position data of one target (1) is acquired, the embedded computing module (24) controls the dustproof switch device (27) to open the dust cover (26), the CCD camera (23) acquires the ith position data of the target (1), after the acquisition is finished, the embedded computing module (24) controls the dustproof switch device (27) to close the dust cover (26), the embedded computing module (24) adopts a dynamic local window algorithm to lock the last recorded target position to search the imaging position of the target (1), and the position data of the current acquired image and the position data of the last acquired image are compared and calculated after the imaging position data of the current acquired image are searched, and are converted into imaging displacement Xi imaging of the target in the X direction and imaging displacement Yi imaging of the target in the Y direction;
the embedded computing module (24) simultaneously computes the ith imaging size Lxi and the ith-1 imaging size Lx (i-1) of the target (1) in the X direction and the ith imaging size Lyi and the ith-1 imaging size Lx (i-1) in the Y direction, and computes two dynamic proportion correction coefficients in the X direction and the Y direction as follows:
Rxi＝Lx/Lxi Ryi＝Ly/Lyi
Rx(i-1)＝Lx/Lx(i-1) Ry(i-1)＝Ly/Ly(i-1)
carrying out displacement correction of the target (1) in two directions by using the average value of the dynamic proportion correction coefficients of the two times to obtain displacement data of the target (1) in the ith time:
xi=xi imaging [ rxi+rx (i-1) ]/Yi =yi imaging [ ryi+ry (i-1) ]/2
The monitoring device (2) continuously measures the image positions of each target (1) according to the set frequency, and stores displacement data Xi and Yi measured and processed each time;
The embedded computing module (24) uploads displacement data of the target (1) to the cloud server through the signal transmitter for monitoring and analysis by staff at a remote place;
when Xi is larger than the initial set horizontal displacement alarm value or Yi is larger than the initial set vertical displacement alarm value, the embedded computing module (24) sends early warning information to the cloud server and sends an alarm to a remote computer or a mobile phone of a worker.
2. The two-dimensional displacement monitoring device for the structure, which adopts the method based on the two-dimensional displacement monitoring device for the structure according to claim 1, comprises a target (1), a monitoring device (2) and a three-axis adjusting holder (4), and is characterized in that:
the target (1) is arranged on a structure (3) to be monitored, the triaxial adjusting holder (4) is arranged at a stable position relative to the structure (3), the monitoring device (2) is arranged on the triaxial adjusting holder (4), and the position of the monitoring device (2) corresponds to the target (1); the three-axis adjusting cradle head (4) adjusts the direction of the monitoring device (2) through an adjusting base (41); the monitoring device (2) sequentially comprises a dust cover (26), an objective lens (21), an ocular lens (22), a CCD camera (23) and an embedded computing module (24) from front to back, and also comprises a dust-proof switch device (27) and a solar power system (25); the dustproof switch device (27) is positioned at the bottom of the monitoring device (2), is contacted with the dustproof cover (26) and is used for controlling the switch of the dustproof cover (26); the solar power supply system (25) is connected with the embedded computing module (24), the CCD camera (23) and the dustproof switch device (27) through cables.
3. The structure two-dimensional displacement monitoring device of claim 2, wherein:
the embedded computing module (24) comprises a signal transmitter which is in wireless communication connection with the cloud server; the embedded computing module (24) runs an image recognition and dynamic algorithm, wherein the dynamic algorithm comprises a dynamic proportion correction algorithm and a dynamic local window algorithm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811552448.9A CN109631768B (en) | 2018-12-19 | 2018-12-19 | Device and method for monitoring two-dimensional displacement of structure |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811552448.9A CN109631768B (en) | 2018-12-19 | 2018-12-19 | Device and method for monitoring two-dimensional displacement of structure |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109631768A CN109631768A (en) | 2019-04-16 |
| CN109631768B true CN109631768B (en) | 2024-04-26 |
Family
ID=66075353
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811552448.9A Active CN109631768B (en) | 2018-12-19 | 2018-12-19 | Device and method for monitoring two-dimensional displacement of structure |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109631768B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112179283A (en) * | 2019-07-01 | 2021-01-05 | 深圳安锐科技有限公司 | Two-dimensional code-based real-time measurement method and system for spatial displacement of structural deformation |
| CN110425984A (en) * | 2019-09-06 | 2019-11-08 | 国网青海省电力公司电力科学研究院 | A kind of non-contact displacement detection device and its method based on image recognition technology |
| CN110823175A (en) * | 2019-11-07 | 2020-02-21 | 河海大学 | Displacement high-frequency observation device and method based on multi-point reverse recognition technology |
| CN112504137B (en) * | 2020-12-07 | 2022-07-26 | 北京智博联科技股份有限公司 | Multi-target digital image detection method based on cloud computing |
| CN113870285B (en) * | 2021-09-29 | 2022-05-20 | 深圳大学 | Beidou and vision integrated infrastructure structure deformation measurement method and system |
| CN117109535B (en) * | 2023-09-15 | 2024-05-17 | 宁夏交通建设股份有限公司 | Inclination angle measuring device and dynamic measuring method thereof |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11337322A (en) * | 1998-05-26 | 1999-12-10 | Yokogawa Bridge Corp | Method for measuring appearance by two-dimensional image comparison, and device therefor |
| CN1912536A (en) * | 2006-08-31 | 2007-02-14 | 张奔牛 | Multi-point displacement/deflection detection and monitoring device and method |
| CN101339003A (en) * | 2008-08-01 | 2009-01-07 | 重庆交通大学 | Great structure horizontal two-dimensional displacement automatic measuring equipment and method |
| CN106092059A (en) * | 2016-06-27 | 2016-11-09 | 重庆交通大学 | A kind of works Horizontal Displacement Monitoring Method based on multi-point fitting |
| CN106403827A (en) * | 2016-11-15 | 2017-02-15 | 国网山西省电力公司电力科学研究院 | Measuring device and measuring method for three-dimensional displacement of GIS busbar chamber relative to ground |
| CN106643615A (en) * | 2016-12-17 | 2017-05-10 | 中建钢构有限公司 | Position measurement method and system |
| CN107289873A (en) * | 2017-07-28 | 2017-10-24 | 平顶山学院 | The modification method of PSD sensor measurement datas |
| CN209588987U (en) * | 2018-12-19 | 2019-11-05 | 嘉兴同禾传感技术有限公司 | A kind of works two-dimension displacement monitoring device |
-
2018
- 2018-12-19 CN CN201811552448.9A patent/CN109631768B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11337322A (en) * | 1998-05-26 | 1999-12-10 | Yokogawa Bridge Corp | Method for measuring appearance by two-dimensional image comparison, and device therefor |
| CN1912536A (en) * | 2006-08-31 | 2007-02-14 | 张奔牛 | Multi-point displacement/deflection detection and monitoring device and method |
| CN101339003A (en) * | 2008-08-01 | 2009-01-07 | 重庆交通大学 | Great structure horizontal two-dimensional displacement automatic measuring equipment and method |
| CN106092059A (en) * | 2016-06-27 | 2016-11-09 | 重庆交通大学 | A kind of works Horizontal Displacement Monitoring Method based on multi-point fitting |
| CN106403827A (en) * | 2016-11-15 | 2017-02-15 | 国网山西省电力公司电力科学研究院 | Measuring device and measuring method for three-dimensional displacement of GIS busbar chamber relative to ground |
| CN106643615A (en) * | 2016-12-17 | 2017-05-10 | 中建钢构有限公司 | Position measurement method and system |
| CN107289873A (en) * | 2017-07-28 | 2017-10-24 | 平顶山学院 | The modification method of PSD sensor measurement datas |
| CN209588987U (en) * | 2018-12-19 | 2019-11-05 | 嘉兴同禾传感技术有限公司 | A kind of works two-dimension displacement monitoring device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109631768A (en) | 2019-04-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109631768B (en) | Device and method for monitoring two-dimensional displacement of structure | |
| CN107449393B (en) | Urban rail transit tunnel deformation monitoring system and method | |
| CN101339003B (en) | Great structure horizontal two-dimensional displacement automatic measuring equipment and method | |
| CN106091946B (en) | Self-calibration measuring device and method for bridge deformation or displacement parameter | |
| CN113251933A (en) | Automatic image displacement measurement system for monitoring displacement of surface of foundation pit | |
| CN106197287B (en) | Self-calibration measuring device and method for large scale structure composition deformation or displacement parameter | |
| 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 | |
| CN106092059B (en) | A kind of works Horizontal Displacement Monitoring Method based on multi-point fitting | |
| CN110645901B (en) | Application method of building engineering dynamic monitoring system | |
| KR102056752B1 (en) | A drawing data system for collecting geographical information with connecting leveling device | |
| CN106441108A (en) | Vision displacement measurement system and method | |
| CN109033592A (en) | A kind of BIM setting out method of abnormity decoration panel | |
| CN105874384B (en) | Based on a variety of distance measuring methods with burnt system, method and camera system | |
| CN111947578A (en) | Structure displacement measuring system and measuring method thereof | |
| CN207163433U (en) | Urban track traffic tunnel deformation monitoring system | |
| CN209588987U (en) | A kind of works two-dimension displacement monitoring device | |
| CN105526963A (en) | Portable measuring instrument and measuring method capable of simultaneously measuring vegetation coverage and height | |
| CN212747767U (en) | High distance measuring device for formwork | |
| CN110243338A (en) | A kind of real-time dynamic binocular distance measuring method and system | |
| CN107990881B (en) | Pile machine construction positioning method based on measuring robot | |
| CN214199982U (en) | Structure displacement measuring system | |
| WO2022126339A1 (en) | Method for monitoring deformation of civil structure, and related device | |
| CN112014043B (en) | Digital large plate girder deflection measuring device and method | |
| KR20140024745A (en) | System and method for calibrating of object for measuring deformation structure | |
| CN111856488A (en) | Distance measuring method and system based on shaft encoder |
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 | ||
| CB02 | Change of applicant information |
Address after: No.2, building 31, No.522, Asia Pacific Road, Nanhu District, Jiaxing City, Zhejiang Province Applicant after: Zhejiang Tonghe Sensing Technology Co.,Ltd. Address before: Jiaxing City, Zhejiang province 314050 Nanhu District Ling Gong Tang Road No. 3339 (Jiaxing city) building 3, room 314 Applicant before: JIAXING TONGHE SENSING TECHNOLOGY Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |