CN105157595A - Method and device for detecting deformation and defects of existing building - Google Patents
Method and device for detecting deformation and defects of existing building Download PDFInfo
- Publication number
- CN105157595A CN105157595A CN201510620998.XA CN201510620998A CN105157595A CN 105157595 A CN105157595 A CN 105157595A CN 201510620998 A CN201510620998 A CN 201510620998A CN 105157595 A CN105157595 A CN 105157595A
- Authority
- CN
- China
- Prior art keywords
- existing building
- picture pick
- defect
- image
- pick
- 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
Links
Landscapes
- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention discloses a method and a device for detecting the deformation and defects of an existing building, and belongs to a detection technology for the deformation and defects of an existing building. The deformation and defect detection of the existing building is high in cost and great in detection result difference. According to the method and the device, permanent image pick-up equipment is arranged on the site of the existing building to acquire a real-time image of a detected position of the building, the real-time image is transmitted to terminal equipment for comparison and measurement, and the deformation is finally calculated, so that fatigue of workers can be relieved, the expenditure can be reduced, the working efficiency can also be improved, and particularly, the state of the building can be monitored in real time and mastered in time; because the data for comparison and measurement can be stored for a long term, the data can be checked to avoid falsification; and the comparison, measurement and calculation can be implemented by means of the terminal equipment, so that different detection results caused by different people can be avoided.
Description
Technical field
The invention belongs to the detection technique of existing building distortion and defect, be specifically related to detection method, the pick-up unit of the distortion of a kind of existing building and defect.
Background technology
At present, the detection of existing building distortion (as the gradient of metope, the degree of disturbing, displacement etc. of beam) and defect (hole, hole, infiltration etc. as crack, weathering and aging formation), all will be carried to scene by checkout equipment, detects completely to remove again, extremely bothers.Because building site distribution is scattered, testing agency need accredit many testing staff, and produced transport cost of trudging also allows, and testing agency's cost increases, burden is heavy; Individual difference between testing staff can cause the difference of testing result; Due to personnel's dispersion, be negligent of supervision, also may there is growing of corruption.
Summary of the invention
The technical assignment of the technical problem to be solved in the present invention and proposition overcomes the defects such as the cost that existing existing building is out of shape and defects detection exists is high, testing result difference is large, provides detection method, the pick-up unit of the distortion of a kind of existing building and defect.
For achieving the above object, the detection method of existing building distortion of the present invention and defect, is characterized in that comprising the following steps:
(1) implantation of device: the terminal device being configured for information processing, installing permanent picture pick-up device for existing building for detecting location arrangements, communicating with setting up between picture pick-up device at described terminal device;
(2) benchmark image is obtained: implantation of device is complete to be controlled described picture pick-up device with controller and obtain existing building and stored for detecting the image of position as benchmark image after debugging;
(3) realtime graphic is obtained: control picture pick-up device with controller and regularly obtain existing building for detecting the realtime graphic of position and described realtime graphic is transferred to terminal device being stored through communication;
(4) result of calculation: compared with benchmark image by realtime graphic, measure length data, calculates the deformation quantity of existing building detection site according to length data.
Optimization technique means as the detection method of existing building of the present invention distortion and defect: described picture pick-up device is configured with scale in order to be imaged on image by described scale when obtaining image.
Optimization technique means as the detection method of existing building of the present invention distortion and defect: mark gauge point on existing building, all aim at described gauge point when obtaining benchmark image with picture pick-up device and regularly obtain realtime graphic.
Optimization technique means as the detection method of existing building of the present invention distortion and defect: described picture pick-up device is arranged in the plane at metope place of existing building, obtain benchmark image, the realtime graphic of metope from the side direction of metope with picture pick-up device, by comparing and measuring the tilt quantity of metope, calculate the gradient of metope.
Optimization technique means as the detection method of existing building of the present invention distortion and defect: arrange at least two picture pick-up devices in dimension space repeatedly for detecting position for existing building.
Optimization technique means as the detection method of existing building of the present invention distortion and defect: by described terminal device result of calculation or by the artificial result of calculation of personnel.
For achieving the above object, the pick-up unit of existing building distortion of the present invention and defect, is characterized in that comprising:
For the terminal device of information processing,
For detecting at least one picture pick-up device of position acquisition image to existing building wish,
Control the controller of picture pick-up device real-time image acquisition,
Realize the Internet of Things of described picture pick-up device and terminal equipment in communication.
Optimization technique means as the pick-up unit of existing building of the present invention distortion and defect: described picture pick-up device is configured with the scale in order to be imaged on when obtaining image on image.Further, described scale is located on a level meter or sight for sag, assembling with described picture pick-up device of described level meter or sight for sag activity.Described picture pick-up device, scale are positioned at a translucent cover.
The present invention is by laying the realtime graphic that permanent picture pick-up device obtains the detected position of buildings at the scene of existing building, and realtime graphic is transferred to terminal device contrasts, measure, finally calculate deflection, both the long drive of staff can have been save, to reduce expenses spending, also can increase work efficiency, especially can Real-Time Monitoring, the state of timely control buildings, due to for contrast, the data measured can be preserved for a long time, therefore can carry out checking verification, avoid practising fraud, more can contrast by means of terminal device, measure, calculate, the testing result difference that release personnel difference causes.
Accompanying drawing explanation
Fig. 1 is the schematic diagram that the pick-up unit of existing building of the present invention distortion and defect carries out detecting;
Fig. 2 is a kind of schematic diagram of benchmark image;
Fig. 3 is the schematic diagram of a realtime graphic of the acquisition of corresponding diagram 2 position;
Fig. 4 is the schematic diagram benchmark image of the realtime graphic of Fig. 3 and Fig. 2 being carried out measurement of comparison;
Number in the figure illustrates: 1-picture pick-up device, 2-terminal device, 3-scale, 4-sight for sag, 5-metope, Y-metope gauge point, the gauge point on Y0-benchmark image, the gauge point on Y1-realtime graphic, the side-play amount of T-gauge point, the height of H-gauge point.
Embodiment
Below in conjunction with Figure of description, the present invention will be further described.
As shown in Figure 1, pick-up unit for existing building of the present invention distortion and defect carries out the schematic diagram detected, this pick-up unit comprises: for the terminal device 2(of information processing as computing machine), for detecting at least one picture pick-up device 1(of position acquisition image as fixed-focus digital camera to existing building wish), the controller of control picture pick-up device real-time image acquisition (can be located in picture pick-up device by this controller, also can be located in terminal device, not shown in the figures), realize the Internet of Things of picture pick-up device and terminal equipment in communication (by wire communication, also radio communication can be passed through).
Based on above-mentioned detection device, obtained the realtime graphic of the detected position of buildings by picture pick-up device, and realtime graphic is transferred to terminal device and carries out contrasting, measuring, finally calculate deflection.
During concrete enforcement, picture pick-up device 1 is configured with the scale 3 in order to be imaged on when obtaining image on image, when measurement of comparison by being contrasted by the overlapping scales of two width images, is convenient to the deformation quantity measuring measured target.Further, scale 3 is located on a level meter or sight for sag 4 for ensureing its accuracy as benchmark, (as by light-duty bearing) of level meter or sight for sag activity assembles with picture pick-up device, in order to ensure its accuracy, can connect vertical on level meter or sight for sag.Affect the accuracy of scale in order to avoid extraneous factor interference (as wind-force), picture pick-up device, scale are positioned at a translucent cover.
Based on above-mentioned detection device, detection method of the present invention is:
(1) implantation of device: the terminal device being configured for information processing, as terminal device being placed in the places such as the machine room of testing agency, for detecting location arrangements, permanent picture pick-up device is installed for existing building, according to the environment of buildings, can be arranged in other fixed buildings of closing on, set up between terminal device with picture pick-up device and communicate, this communication can be dependent on Internet of Things;
(2) benchmark image is obtained: implantation of device is complete to be controlled picture pick-up device with controller and obtain existing building and stored as benchmark image for the image detecting position after debugging (the adjustment position of picture pick-up device, angle are can obtain best image);
(3) realtime graphic is obtained: control picture pick-up device with controller and regularly obtain existing building for detecting the realtime graphic of position and realtime graphic is transferred to terminal device being stored through communication;
(4) result of calculation: compared with benchmark image by realtime graphic, measure length data, calculates the deformation quantity of existing building detection site according to length data.
Concrete, picture pick-up device is configured with scale in order to be imaged on image by scale when obtaining image.Existing building marks gauge point, when obtaining benchmark image with picture pick-up device and regularly obtain realtime graphic, all aims at described gauge point.Picture pick-up device is arranged in the plane at metope place of existing building, obtains benchmark image, the realtime graphic of metope with picture pick-up device from the side direction of metope, by comparing and measuring the tilt quantity of metope, calculating the gradient of metope.For existing building for arranging at least two picture pick-up devices in detection position repeatedly dimension space.By terminal device result of calculation (as by means of software for calculation) or by the artificial result of calculation of personnel.
Fig. 2-4 shows the example detecting existing building metope degree of tilt, and Fig. 2 is the schematic diagram of the benchmark image of this metope obtained; Fig. 3 is the schematic diagram of a realtime graphic of this metope same position (corresponding diagram 2 position) obtained; Fig. 4 is the schematic diagram benchmark image of the realtime graphic of Fig. 3 and Fig. 2 being carried out measurement of comparison; In figure is a vertical coordinate with the dot-and-dash line of xox and oz mark, and as scale, xox represents horizontal line, and oz represents vertical curve.
After debugging, this metope makes a mark a Y, and obtains the benchmark image comprising this gauge point Y, and gauge point Y is labeled as Y0 in benchmark image, measure for the ease of the later stage, make the metope place plane parallel with vertical curve oz (see Fig. 2) in benchmark image; As shown in Figure 3, gauge point Y is labeled as Y1 to realtime graphic in realtime graphic; During measurement of comparison, by the overlapping scales (if desired by Nonlinear magnify) in benchmark image shown in the scale in realtime graphic shown in Fig. 3 and Fig. 2, can measure gauge point Y1 deflection T(can on buildings corresponding position mark length-specific of taking pictures as reference, the absolute figure of deflection T is determined again according to length-specific) on the image obtained, can calculate the gradient of gauge point Y according to T/H, H is wherein the height of gauge point Y.During concrete measurement, also can measure the vertical range of gauge point Y and vertical curve oz in two images respectively, calculate the difference of the two, go out the gradient of gauge point Y by the high computational of this difference and gauge point Y.Described calculating can be calculated by manual measurement, also calculates by the software for calculation be contained in advance in terminal device or in other computing equipment.According to accordingly, can detect other distortion of existing building and defect.
Claims (10)
1. the detection method of existing building distortion and defect, is characterized in that comprising the following steps:
(1) implantation of device: the terminal device (2) being configured for information processing, installing permanent picture pick-up device (1) for existing building for detecting location arrangements, communicating with setting up between picture pick-up device at described terminal device;
(2) benchmark image is obtained: implantation of device is complete to be controlled described picture pick-up device with controller and obtain existing building and stored for detecting the image of position as benchmark image after debugging;
(3) realtime graphic is obtained: control picture pick-up device with controller and regularly obtain existing building for detecting the realtime graphic of position and described realtime graphic is transferred to terminal device being stored through communication;
(4) result of calculation: compared with benchmark image by realtime graphic, measure length data, calculates the deformation quantity of existing building detection site according to length data.
2. the detection method of existing building distortion according to claim 1 and defect, is characterized in that: described picture pick-up device is configured with scale in order to be imaged on image by described scale when obtaining image.
3. the detection method of existing building distortion according to claim 1 and defect, is characterized in that: on existing building, mark gauge point (Y), all aims at described gauge point (Y) when obtaining benchmark image with picture pick-up device and regularly obtain realtime graphic.
4. the detection method of existing building distortion according to claim 1 and defect, it is characterized in that: described picture pick-up device is arranged in the plane at metope place of existing building, obtain benchmark image, the realtime graphic of metope from the side direction of metope with picture pick-up device, by comparing and measuring the tilt quantity of metope, calculate the gradient of metope.
5. the detection method of existing building distortion according to claim 1 and defect, is characterized in that: for existing building for arranging at least two picture pick-up devices in detection position repeatedly dimension space.
6. the detection method of existing building distortion according to claim 1 and defect, is characterized in that: by described terminal device result of calculation or by the artificial result of calculation of personnel.
7. the pick-up unit of existing building distortion and defect, is characterized in that comprising:
For the terminal device (2) of information processing,
For detecting at least one the picture pick-up device (1) of position acquisition image to existing building wish,
Control the controller of picture pick-up device real-time image acquisition,
Realize the Internet of Things of described picture pick-up device and terminal equipment in communication.
8. the pick-up unit of existing building distortion according to claim 7 and defect, is characterized in that: described picture pick-up device is configured with the scale (3) in order to be imaged on when obtaining image on image.
9. the pick-up unit of existing building distortion according to claim 8 and defect, it is characterized in that: described scale (3) is located on a level meter or sight for sag (4), assembling with described picture pick-up device of described level meter or sight for sag activity.
10. the pick-up unit of existing building distortion according to claim 8 and defect, is characterized in that: described picture pick-up device, scale are positioned at a translucent cover.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510620998.XA CN105157595A (en) | 2015-09-25 | 2015-09-25 | Method and device for detecting deformation and defects of existing building |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510620998.XA CN105157595A (en) | 2015-09-25 | 2015-09-25 | Method and device for detecting deformation and defects of existing building |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105157595A true CN105157595A (en) | 2015-12-16 |
Family
ID=54798539
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510620998.XA Pending CN105157595A (en) | 2015-09-25 | 2015-09-25 | Method and device for detecting deformation and defects of existing building |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105157595A (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106018418A (en) * | 2016-06-28 | 2016-10-12 | 上海玻机智能幕墙股份有限公司 | Detection system and method of existing building curtain wall |
| CN106767474A (en) * | 2016-11-15 | 2017-05-31 | 嘉兴学院 | Contactless external thermal insulation system overcoat thermal deformation analyzer and assay method |
| CN108106594A (en) * | 2017-12-06 | 2018-06-01 | 上海建工五建集团有限公司 | Building deformation method for real-time measurement |
| CN108731611A (en) * | 2018-05-30 | 2018-11-02 | 天仁民防建筑工程设计有限公司 | A kind of people's air defense gantry crane angular deformation condition detecting system and method |
| CN108764260A (en) * | 2018-05-30 | 2018-11-06 | 天仁民防建筑工程设计有限公司 | A kind of closed guard gate's location status detecting system and method based on supporting rod mark |
| CN108760739A (en) * | 2018-05-30 | 2018-11-06 | 天仁民防建筑工程设计有限公司 | A kind of closed guard gate's corrosion state detecting system and method |
| CN108764166A (en) * | 2018-05-30 | 2018-11-06 | 天仁民防建筑工程设计有限公司 | A kind of closed guard gate's location status detecting system and method based on supporting rod |
| CN109001210A (en) * | 2018-05-30 | 2018-12-14 | 天仁民防建筑工程设计有限公司 | A kind of people's air defense theft sealing rubber strip aging cracking detection system and method |
| CN109978806A (en) * | 2019-03-22 | 2019-07-05 | 云南谦实科技有限公司 | A kind of method, apparatus and computer media carrying out the inspection of route hidden danger based on multi-spectral imager |
| CN112344871A (en) * | 2020-11-18 | 2021-02-09 | 中冶赛迪工程技术股份有限公司 | Deformation detection system and deformation detection method for temperature measurement sampling probe gun |
| CN112504156A (en) * | 2020-11-25 | 2021-03-16 | 华南理工大学 | Structural surface strain measurement system and measurement method based on foreground grid |
| CN114370859A (en) * | 2022-01-13 | 2022-04-19 | 安徽中擎建设发展有限公司 | Laser marking method for plastering inner wall of building |
| CN114894098A (en) * | 2022-04-20 | 2022-08-12 | 国网吉林省电力有限公司长春供电公司 | Visual method for torsion measurement of multilayer structure |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5657003A (en) * | 1996-02-26 | 1997-08-12 | Fuentes; Alfredo | Structure movement monitoring and emergency alarm system |
| CN2771817Y (en) * | 2004-08-17 | 2006-04-12 | 廊坊开发区大地工程检测技术开发有限公司 | Camera-shoft width-measuring instrument for surface crack of building |
| CN1818546A (en) * | 2006-03-02 | 2006-08-16 | 浣石 | Small-displacement measuring method in long-distance plane |
| CN101251366A (en) * | 2008-03-18 | 2008-08-27 | 飞秒光电科技(西安)有限公司 | Method and system for testing buildings splits |
| CN101509875A (en) * | 2009-03-09 | 2009-08-19 | 北京航空航天大学 | Vision inspection device for railway bridge surface crack |
| CN101832760A (en) * | 2010-04-23 | 2010-09-15 | 清华大学 | Remote three-dimensional micro-deformation visual on-line monitoring method and system |
| CN102589523A (en) * | 2011-01-11 | 2012-07-18 | 香港理工大学深圳研究院 | Method and equipments for remotely monitoring displacement of building |
| CN202928562U (en) * | 2012-10-19 | 2013-05-08 | 河北省交通规划设计院 | Level instrument used for settlement monitoring |
| CN103808271A (en) * | 2012-11-15 | 2014-05-21 | 张文镒 | Method and device for remotely measuring cracks |
| CN104180755A (en) * | 2014-08-06 | 2014-12-03 | 张喜 | Method and apparatus for deformation observation of large-size building |
| CN204944448U (en) * | 2015-09-25 | 2016-01-06 | 浙江中技建设工程检测有限公司 | The pick-up unit of existing building distortion and defect |
-
2015
- 2015-09-25 CN CN201510620998.XA patent/CN105157595A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5657003A (en) * | 1996-02-26 | 1997-08-12 | Fuentes; Alfredo | Structure movement monitoring and emergency alarm system |
| CN2771817Y (en) * | 2004-08-17 | 2006-04-12 | 廊坊开发区大地工程检测技术开发有限公司 | Camera-shoft width-measuring instrument for surface crack of building |
| CN1818546A (en) * | 2006-03-02 | 2006-08-16 | 浣石 | Small-displacement measuring method in long-distance plane |
| CN101251366A (en) * | 2008-03-18 | 2008-08-27 | 飞秒光电科技(西安)有限公司 | Method and system for testing buildings splits |
| CN101509875A (en) * | 2009-03-09 | 2009-08-19 | 北京航空航天大学 | Vision inspection device for railway bridge surface crack |
| CN101832760A (en) * | 2010-04-23 | 2010-09-15 | 清华大学 | Remote three-dimensional micro-deformation visual on-line monitoring method and system |
| CN102589523A (en) * | 2011-01-11 | 2012-07-18 | 香港理工大学深圳研究院 | Method and equipments for remotely monitoring displacement of building |
| CN202928562U (en) * | 2012-10-19 | 2013-05-08 | 河北省交通规划设计院 | Level instrument used for settlement monitoring |
| CN103808271A (en) * | 2012-11-15 | 2014-05-21 | 张文镒 | Method and device for remotely measuring cracks |
| CN104180755A (en) * | 2014-08-06 | 2014-12-03 | 张喜 | Method and apparatus for deformation observation of large-size building |
| CN204944448U (en) * | 2015-09-25 | 2016-01-06 | 浙江中技建设工程检测有限公司 | The pick-up unit of existing building distortion and defect |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106018418A (en) * | 2016-06-28 | 2016-10-12 | 上海玻机智能幕墙股份有限公司 | Detection system and method of existing building curtain wall |
| CN106767474A (en) * | 2016-11-15 | 2017-05-31 | 嘉兴学院 | Contactless external thermal insulation system overcoat thermal deformation analyzer and assay method |
| CN108106594B (en) * | 2017-12-06 | 2020-05-15 | 上海建工五建集团有限公司 | Real-time measuring method for deformation of building |
| CN108106594A (en) * | 2017-12-06 | 2018-06-01 | 上海建工五建集团有限公司 | Building deformation method for real-time measurement |
| CN108731611A (en) * | 2018-05-30 | 2018-11-02 | 天仁民防建筑工程设计有限公司 | A kind of people's air defense gantry crane angular deformation condition detecting system and method |
| CN108760739A (en) * | 2018-05-30 | 2018-11-06 | 天仁民防建筑工程设计有限公司 | A kind of closed guard gate's corrosion state detecting system and method |
| CN108764166A (en) * | 2018-05-30 | 2018-11-06 | 天仁民防建筑工程设计有限公司 | A kind of closed guard gate's location status detecting system and method based on supporting rod |
| CN109001210A (en) * | 2018-05-30 | 2018-12-14 | 天仁民防建筑工程设计有限公司 | A kind of people's air defense theft sealing rubber strip aging cracking detection system and method |
| CN108764260A (en) * | 2018-05-30 | 2018-11-06 | 天仁民防建筑工程设计有限公司 | A kind of closed guard gate's location status detecting system and method based on supporting rod mark |
| CN109001210B (en) * | 2018-05-30 | 2020-10-09 | 成都天仁民防科技有限公司 | System and method for detecting aging and cracking of sealing rubber strip of civil air defense door |
| CN109978806A (en) * | 2019-03-22 | 2019-07-05 | 云南谦实科技有限公司 | A kind of method, apparatus and computer media carrying out the inspection of route hidden danger based on multi-spectral imager |
| CN112344871A (en) * | 2020-11-18 | 2021-02-09 | 中冶赛迪工程技术股份有限公司 | Deformation detection system and deformation detection method for temperature measurement sampling probe gun |
| CN112504156A (en) * | 2020-11-25 | 2021-03-16 | 华南理工大学 | Structural surface strain measurement system and measurement method based on foreground grid |
| CN114370859A (en) * | 2022-01-13 | 2022-04-19 | 安徽中擎建设发展有限公司 | Laser marking method for plastering inner wall of building |
| CN114894098A (en) * | 2022-04-20 | 2022-08-12 | 国网吉林省电力有限公司长春供电公司 | Visual method for torsion measurement of multilayer structure |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105157595A (en) | Method and device for detecting deformation and defects of existing building | |
| CN109632085B (en) | Monocular vision-based low-frequency vibration calibration method | |
| CN204944448U (en) | The pick-up unit of existing building distortion and defect | |
| Dias-da-Costa et al. | Laboratorial test monitoring applying photogrammetric post-processing procedures to surface displacements | |
| KR20190087179A (en) | A measuring method for detecting cracks on the structure surface and the recording medium thereof | |
| CN109029368A (en) | Remote sensing image/SAR image high-precision geometry location post-processing approach of image space compensation | |
| CN105067208A (en) | Multi-channel bridge flexibility monitoring system based on CCD and method | |
| CN105865349B (en) | A kind of building displacement monitoring method | |
| KR20150012384A (en) | Pothole Recognition System and Its Implementation Method | |
| CN102305795A (en) | Method for positioning tiny crack on surface of concrete | |
| CN112378507B (en) | Computer vision structure vibration monitoring method based on motion compensation | |
| CN109580137B (en) | Bridge structure displacement influence line actual measurement method based on computer vision technology | |
| CN106197292A (en) | A kind of building displacement monitoring method | |
| CN103149087B (en) | Follow-up window and digital image-based non-contact real-time strain measurement method | |
| CN104660976A (en) | Slow change detection system | |
| CN104019772A (en) | Bridge structure concrete surface voids and pits area tester and detection method | |
| CN106531657A (en) | Appearance inspection method and inspection system of inkless wafer | |
| CN109307504A (en) | A kind of superelevation frame body stability in-situ monitoring method | |
| CN103389072A (en) | An image point positioning precision assessment method based on straight line fitting | |
| CN109211137A (en) | A kind of device and method of quick identification tunnel tunnel face lithology | |
| WO2022126339A1 (en) | Method for monitoring deformation of civil structure, and related device | |
| CN113446932A (en) | Non-contact crack measuring method and system | |
| CN109374171A (en) | Method for detecting in-service stay cable force | |
| Zhao et al. | A study of landslide deformation fields with a digital correlation method | |
| CN116091488B (en) | Displacement testing method and displacement testing system for engine swing test |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20151216 |