CN116358436A - Building deformation intelligent monitoring and data processing system based on computer vision - Google Patents
Building deformation intelligent monitoring and data processing system based on computer vision Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
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Abstract
The invention provides a building deformation intelligent monitoring and data processing system based on computer vision. The invention is based on a computer vision method, and the automatic aperture adjustment and monitoring position inclination correction module can algorithmically reduce the influence of self vibration to achieve higher precision; according to the invention, by combining displacement relativity conditions among monitoring points, abnormal conditions of monitoring data are automatically analyzed, intelligent correction and noise reduction processing of the data are completed, a platform is established to draw a displacement-time curve, the structural displacement is visualized, and the intellectualization of deformation measurement and processing is realized.
Description
Technical Field
The invention relates to a building deformation intelligent monitoring and data processing system based on computer vision.
Background
In the building construction process, various jig frame dismantling, sling tensioning and other construction procedures are often involved, the deformation of the structure is inevitably caused in the construction processes, and even some potentially dangerous structure deformation states can occur in the process of partial structure construction. At present, structural deformation monitoring in the construction process is mainly realized by using a total station or a static level, and structural deformation conditions are measured regularly. However, the existing monitoring hardware equipment cannot monitor the deformation of the structure in real time, only the initial final state can be given, the measuring process is complex, the monitoring frequency is low, more manpower and material costs are required, the monitoring of the static leveling instrument belongs to contact type measurement, and the static leveling instrument cannot be used when the object to be monitored is located at high altitude and is not easy to contact and measure.
Disclosure of Invention
The invention aims to provide a building deformation intelligent monitoring and data processing system based on computer vision.
In order to solve the above problems, the present invention provides a building deformation intelligent monitoring and data processing system based on computer vision, comprising:
the monitoring setting module is used for calibrating the camera, adjusting the aperture size of the lens of the camera, acquiring images by the camera after calibration and after the aperture size of the lens, and tracking the positions of monitoring points in the acquired images to obtain monitoring results, wherein the monitoring points comprise: a measured structure or a marker of a building;
the monitoring position inclination correction module is used for correcting the monitoring result based on the displacement and inclination sensor and the datum point;
and the data intelligent processing module is used for judging whether abnormal conditions of individual monitoring points exist or not based on the corrected positions of the monitoring points, drawing displacement and time curves of the monitoring points and displaying the displacement and time curves.
Further, in the building deformation intelligent monitoring and data processing system based on computer vision, the monitoring setting module includes:
and the camera calibration unit is used for calibrating and finding out the projection relation from the three-dimensional world coordinates to the two-dimensional image coordinates by adopting a homography matrix method so as to realize the conversion from each point in the image to the three-dimensional world.
Further, in the building deformation intelligent monitoring and data processing system based on computer vision, the monitoring setting module further includes:
the monitoring principle unit is used for collecting gray images or color images, directly adopting gray values of the collected gray images or gray values after the collected color images are converted into the gray images, tracking the positions of the detected structure or the markers thereof based on the gray values and according to the selected image characteristics so as to determine the positions of the detected structure or the markers thereof in each frame in a video or image sequence, and finally calculating the movement condition of the detected structure or the markers thereof in the images, wherein infrared lamps are arranged at the detected structure or the markers thereof.
Further, in the building deformation intelligent monitoring and data processing system based on computer vision, the monitoring setting module further includes:
and the automatic aperture adjusting unit is used for automatically adjusting the aperture according to the light intensity, so that the imaging brightness in a certain fixed area near the infrared lamp at the detected structure or the marker thereof is always a fixed value.
Further, in the building deformation intelligent monitoring and data processing system based on computer vision, the monitoring position inclination correction module includes:
the self sensor correction module is used for obtaining the position change of the monitoring setting module in the monitoring process based on the built-in displacement and angular displacement sensor of the monitoring setting module, and comprises the following components: vertical displacement x and tilt displacement θ; and correcting the monitoring result according to the position change, wherein the corrected monitoring result=original monitoring result-theta is L1/cos phi-x, L1 is the distance between the monitoring setting module and the monitoring point, and phi is the elevation angle of the monitoring setting module.
Further, in the building deformation intelligent monitoring and data processing system based on computer vision, the monitoring position inclination correction module further includes:
the reference point correction unit is used for determining that the inclination angle displacement theta=dx, cos phi/L of the monitoring setting module is the distance between the monitoring setting module and the reference point when the reference point position of the monitoring setting module changes dx, correcting the monitoring result according to the position change, wherein the corrected monitoring result=original monitoring result-theta, L1/cos phi-x, L1 is the distance between the monitoring setting module and the monitoring point, and phi is the elevation angle of the monitoring setting module.
Further, in the building deformation intelligent monitoring and data processing system based on computer vision, the data intelligent processing module includes:
the data abnormality monitoring unit is used for acquiring the structural displacement of the associated monitoring point of the monitoring point based on the corrected position of the monitoring point and the position of the associated monitoring point of the monitoring point, determining the linear relation between the monitoring point and the associated monitoring point based on the structural displacement, and judging whether the monitoring point has an abnormality based on the linear relation.
Further, in the building deformation intelligent monitoring and data processing system based on computer vision, the data intelligent processing module further includes:
and the automatic correction unit is used for checking whether the corrected position of the monitoring point has abnormal mutation displacement, and if so, setting the abnormal mutation displacement as the displacement before the abnormal mutation.
Further, in the building deformation intelligent monitoring and data processing system based on computer vision, the data intelligent processing module further includes:
the noise reduction processing unit is used for generating a time and displacement curve of the monitoring point based on the corrected position of the monitoring point, and removing burrs of the time and displacement curve by adopting a mean noise reduction or Kalman filtering noise reduction method.
Further, in the building deformation intelligent monitoring and data processing system based on computer vision, the data intelligent processing module further includes:
and the platform visualization unit is used for sending the time and displacement curve of the monitoring point after the burr is removed to the mobile terminal.
Compared with the prior art, the monitoring and setting module is a method summarizing process before monitoring and mainly comprises the following steps: camera calibration unit, monitoring principle unit and automatic aperture adjustment unit. Monitoring position inclination correction module: the self-position correction process in the monitoring process mainly comprises a self-sensor correction unit and a reference point correction unit. The data intelligent processing module is used for processing data in the monitoring process and mainly comprises a data abnormality monitoring unit, an automatic correction unit, a noise reduction processing unit and a platform visualization unit.
Compared with the deformation monitoring and data processing system in the current stage, the invention has the following main beneficial effects:
(1) The monitoring precision is high. The invention is based on a computer vision method, and the automatic aperture adjustment and monitoring position inclination correction module can algorithmically reduce the influence of self vibration to achieve higher precision;
(2) And the deformation measurement and the processing are intelligent. According to the invention, by combining displacement relativity conditions among monitoring points, abnormal conditions of monitoring data are automatically analyzed, intelligent correction and noise reduction processing of the data are completed, a platform is established to draw a displacement-time curve, the structural displacement is visualized, and the intellectualization of deformation measurement and processing is realized.
Drawings
FIG. 1 is a schematic diagram of a computer vision based intelligent monitoring and data processing system for building deformation in accordance with an embodiment of the present invention;
FIG. 2 is a schematic diagram of a monitoring setup module according to an embodiment of the invention;
FIG. 3 is a schematic diagram of a monitor position inclination correction module according to an embodiment of the invention;
FIG. 4 is a schematic diagram of a data intelligent processing module according to an embodiment of the invention;
FIG. 5 is a schematic diagram of a computer vision intelligent monitoring and data processing system for building deformation according to an embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
As shown in fig. 1 to 5, the present invention provides a computer vision-based intelligent monitoring and data processing system for building deformation, comprising:
the monitoring setting module is used for calibrating the camera, adjusting the aperture size of the lens of the camera, acquiring images by the camera after calibration and after the aperture size of the lens, and tracking the positions of monitoring points in the acquired images to obtain monitoring results, wherein the monitoring points comprise: a measured structure or a marker of a building;
the monitoring position inclination correction module is used for correcting the monitoring result based on the displacement and inclination sensor and the datum point;
and the data intelligent processing module is used for judging whether abnormal conditions of individual monitoring points exist or not based on the corrected positions of the monitoring points, drawing displacement and time curves of the monitoring points and displaying the displacement and time curves.
The invention provides a novel intelligent construction deformation monitoring method based on non-contact monitoring based on the problems of complicated deformation monitoring and measuring process, low monitoring frequency and more manpower and material resource cost existing in the existing building construction process, integrates the intelligent monitoring and data processing process, can well complete construction monitoring with strong applicability, stable process and labor cost saving on the structural deformation condition in the construction process of a building structure, and simultaneously intelligently processes related data information in an all-around way, thereby greatly improving the monitoring precision.
As shown in fig. 2, in an embodiment of the building deformation intelligent monitoring and data processing system based on computer vision of the present invention, the monitoring setting module includes:
and the camera calibration unit is used for calibrating and finding out the projection relation from the three-dimensional world coordinates to the two-dimensional image coordinates by adopting a homography matrix method so as to realize the conversion from each point in the image to the three-dimensional world.
The camera calibration unit is used for calibrating and finding out the projection relation from the three-dimensional world coordinates to the two-dimensional image coordinates by adopting a homography matrix method so as to realize the conversion from each point in the image to the three-dimensional world.
As shown in fig. 2, in an embodiment of the building deformation intelligent monitoring and data processing system based on computer vision of the present invention, the monitoring setting module further includes:
the monitoring principle unit is used for collecting gray images or color images, directly adopting gray values of the collected gray images or gray values after the collected color images are converted into the gray images, tracking the positions of the detected structure or the markers thereof based on the gray values and according to the selected image characteristics so as to determine the positions of the detected structure or the markers thereof in each frame in a video or image sequence, and finally calculating the movement condition of the detected structure or the markers thereof in the images, wherein infrared lamps are arranged at the detected structure or the markers thereof.
In terms of image tracking and pixel calculation, the gray value of the acquired gray image or the gray value after the acquired bottom color image is converted into the gray image is directly adopted, the position of the detected structure or the marker thereof is tracked based on the gray value and according to the selected image characteristics, so that the position of the detected structure or the marker thereof in each frame in a video or image sequence is determined, the movement condition of the detected structure or the marker thereof in the image is finally calculated, and particularly, in consideration of the environmental complexity of a construction site, the method selects an infrared lamp as an object to be monitored, and the influence of external environment is avoided.
As shown in fig. 2, in an embodiment of the building deformation intelligent monitoring and data processing system based on computer vision of the present invention, the monitoring setting module further includes:
and the automatic aperture adjusting unit is used for automatically adjusting the aperture according to the light intensity, so that the imaging brightness in a certain fixed area near the infrared lamp at the detected structure or the marker thereof is always a fixed value.
Here, the automatic aperture adjusting unit automatically adjusts the aperture size according to the light intensity in consideration of the influence of sunlight on the imaging of the infrared lamp in the outdoor environment: the camera is connected with the computer to control the aperture of the lens, so that imaging brightness in a certain fixed area near the infrared lamp at the detected structure or the marker is always constant, and accordingly, the influence of infrared components in natural light on construction monitoring is eliminated to the minimum.
The monitoring setting module is a method summarizing process before monitoring and mainly comprises a camera calibration unit, a monitoring principle unit and an automatic aperture adjusting unit.
As shown in fig. 3, in an embodiment of the computer vision-based intelligent monitoring and data processing system for building deformation of the present invention, the monitoring position inclination correction module includes:
the self sensor correction module is used for obtaining the position change of the monitoring setting module in the monitoring process based on the built-in displacement and angular displacement sensor of the monitoring setting module, and comprises the following components: vertical displacement x and tilt displacement θ; and correcting the monitoring result according to the position change, wherein the corrected monitoring result=original monitoring result-theta is L1/cos phi-x, L1 is the distance between the monitoring setting module and the monitoring point, and phi is the elevation angle of the monitoring setting module.
Here, the self sensor correction module corrects the monitoring result based on the built-in displacement and inclination sensor in the monitoring device module, and the built-in displacement and angular displacement sensor in the monitoring device module can obtain the position change of the monitoring device module in the monitoring process, and the self sensor correction module comprises: vertical displacement x and tilt displacement θ; and correcting the monitoring result according to the detection result, wherein the corrected monitoring result=original monitoring result-theta is L1/cos phi-x, L1 is the distance between the monitoring setting module and the monitoring point, and phi is the elevation angle of the monitoring setting module.
In an embodiment of the intelligent monitoring and data processing system for building deformation based on computer vision, the monitoring position inclination angle correction module further comprises:
the reference point correction unit is used for determining that the inclination angle displacement theta=dx, cos phi/L of the monitoring setting module is the distance between the monitoring setting module and the reference point when the reference point position of the monitoring setting module changes dx, correcting the monitoring result according to the position change, wherein the corrected monitoring result=original monitoring result-theta, L1/cos phi-x, L1 is the distance between the monitoring setting module and the monitoring point, and phi is the elevation angle of the monitoring setting module.
In this case, the reference point correction unit determines, according to the existing knowledge, a point where the position of the monitoring setting module does not change as a reference point, and when the reference point of the monitoring setting module changes by dx, determines that the inclination displacement θ=dx×cos phi/L of the monitoring setting module, where L and phi have the same meaning as before. Therefore, the function of the monitoring position inclination angle correction module can be realized according to the self sensor correction part and the reference point correction part.
The monitoring position inclination angle correction module is a self position correction process in the monitoring process and mainly comprises a self sensor correction unit and a reference point correction unit.
As shown in fig. 4, in an embodiment of the building deformation intelligent monitoring and data processing system based on computer vision of the present invention, the data intelligent processing module includes:
the data abnormality monitoring unit is used for acquiring the structural displacement of the associated monitoring point of the monitoring point based on the corrected position of the monitoring point and the position of the associated monitoring point of the monitoring point, determining the linear relation between the monitoring point and the associated monitoring point based on the structural displacement, and judging whether the monitoring point has an abnormality based on the linear relation.
Because the method monitors the structural displacement based on computer vision, individual monitoring points are affected by factors other than the construction process, and the structural displacement of the related points (such as the parts with similar positions) has linear correlation in combination with the characteristics before and after the construction process, so that the structural displacement of the proper related points of the monitoring points is selected, the linear correlation coefficient R (distributed between-1 and 1) of the monitoring points is calculated, and a certain empirical value is combined to judge whether the abnormal condition of the individual monitoring points exists.
As shown in fig. 4, in an embodiment of the building deformation intelligent monitoring and data processing system based on computer vision of the present invention, the data intelligent processing module further includes:
and the automatic correction unit is used for checking whether the corrected position of the monitoring point has abnormal mutation displacement, and if so, setting the abnormal mutation displacement as the displacement before the abnormal mutation.
The abnormal conditions of the automatic correction unit mainly comprise two types of data mutation, namely, sudden overall mutation of the data and return to an original value after the data mutation, an automatic correction program is set, the data of the mutated part is corrected, the displacement after the abnormal mutation is set to be the condition before the abnormal mutation, the abnormal mutation is corrected, and when the abnormal mutation occurs, the on-site actual condition can be combined to check whether the abnormal mutation is caused by frequent shielding and the like.
As shown in fig. 4, in an embodiment of the building deformation intelligent monitoring and data processing system based on computer vision of the present invention, the data intelligent processing module further includes:
the noise reduction processing unit is used for generating a time and displacement curve of the monitoring point based on the corrected position of the monitoring point, and removing burrs of the time and displacement curve by adopting a mean noise reduction or Kalman filtering noise reduction method.
Here, the noise reduction processing unit is a condition that environmental noise is received in the monitoring process, so that burrs and the like appear on the curve, and therefore, the situation that burrs are eliminated by adopting methods of mean noise reduction, kalman filtering noise reduction and the like is selected, so that the displacement curve becomes smooth.
In one embodiment of the computer vision-based building deformation intelligent monitoring and data processing system, the data intelligent processing module further comprises:
and the platform visualization unit is used for sending the time and displacement curve of the monitoring point after the burr is removed to the mobile terminal.
The platform visualization unit transmits the structural displacement monitored by the monitoring setting module to the data display platform, and draws a displacement-time curve of each monitoring point, so that the real-time structural dynamic displacement curve can be visually checked at the mobile end of the mobile phone, the flat plate and the like.
The data intelligent processing module is used for processing data in the monitoring process and mainly comprises a data abnormality monitoring unit, an automatic correction unit, a noise reduction processing unit and a platform visualization unit.
In summary, the monitoring setting module in the present invention is a method summarizing process before monitoring, and mainly includes: camera calibration unit, monitoring principle unit and automatic aperture adjustment unit. Monitoring position inclination correction module: the self-position correction process in the monitoring process mainly comprises a self-sensor correction unit and a reference point correction unit. The data intelligent processing module is used for processing data in the monitoring process and mainly comprises a data abnormality monitoring unit, an automatic correction unit, a noise reduction processing unit and a platform visualization unit.
Compared with the deformation monitoring and data processing system in the current stage, the invention has the following main beneficial effects:
(1) The monitoring precision is high. The invention is based on a computer vision method, and the automatic aperture adjustment and monitoring position inclination correction module can algorithmically reduce the influence of self vibration to achieve higher precision;
(2) And the deformation measurement and the processing are intelligent. According to the invention, by combining displacement relativity conditions among monitoring points, abnormal conditions of monitoring data are automatically analyzed, intelligent correction and noise reduction processing of the data are completed, a platform is established to draw a displacement-time curve, the structural displacement is visualized, and the intellectualization of deformation measurement and processing is realized.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. The utility model provides a building warp intelligent monitoring and data processing system based on computer vision which characterized in that includes:
the monitoring setting module is used for calibrating the camera, adjusting the aperture size of the lens of the camera, acquiring images by the camera after calibration and after the aperture size of the lens, and tracking the positions of monitoring points in the acquired images to obtain monitoring results, wherein the monitoring points comprise: a measured structure or a marker of a building;
the monitoring position inclination correction module is used for correcting the monitoring result based on the displacement and inclination sensor and the datum point;
and the data intelligent processing module is used for judging whether abnormal conditions of individual monitoring points exist or not based on the corrected positions of the monitoring points, drawing displacement and time curves of the monitoring points and displaying the displacement and time curves.
2. The computer vision based intelligent monitoring and data processing system for building deformation of claim 1, wherein the monitoring setting module comprises:
and the camera calibration unit is used for calibrating and finding out the projection relation from the three-dimensional world coordinates to the two-dimensional image coordinates by adopting a homography matrix method so as to realize the conversion from each point in the image to the three-dimensional world.
3. The computer vision based intelligent monitoring and data processing system for building deformation of claim 2, wherein the monitoring setting module further comprises:
the monitoring principle unit is used for collecting gray images or color images, directly adopting gray values of the collected gray images or gray values after the collected color images are converted into the gray images, tracking the positions of the detected structure or the markers thereof based on the gray values and according to the selected image characteristics so as to determine the positions of the detected structure or the markers thereof in each frame in a video or image sequence, and finally calculating the movement condition of the detected structure or the markers thereof in the images, wherein infrared lamps are arranged at the detected structure or the markers thereof.
4. The computer vision based intelligent monitoring and data processing system for building deformation of claim 3, wherein the monitoring setting module further comprises:
and the automatic aperture adjusting unit is used for automatically adjusting the aperture according to the light intensity, so that the imaging brightness in a certain fixed area near the infrared lamp at the detected structure or the marker thereof is always a fixed value.
5. The computer vision based intelligent monitoring and data processing system for building deformation of claim 1, wherein the monitoring position inclination correction module comprises:
the self sensor correction module is used for obtaining the position change of the monitoring setting module in the monitoring process based on the built-in displacement and angular displacement sensor of the monitoring setting module, and comprises the following components: vertical displacement x and tilt displacement θ; and correcting the monitoring result according to the position change, wherein the corrected monitoring result=original monitoring result-theta is L1/cos phi-x, L1 is the distance between the monitoring setting module and the monitoring point, and phi is the elevation angle of the monitoring setting module.
6. The computer vision based intelligent monitoring and data processing system for building deformation of claim 1, wherein the monitoring position inclination correction module further comprises:
the reference point correction unit is used for determining that the inclination angle displacement theta=dx, cos phi/L of the monitoring setting module is the distance between the monitoring setting module and the reference point when the reference point position of the monitoring setting module changes dx, correcting the monitoring result according to the position change, wherein the corrected monitoring result=original monitoring result-theta, L1/cos phi-x, L1 is the distance between the monitoring setting module and the monitoring point, and phi is the elevation angle of the monitoring setting module.
7. The computer vision based intelligent monitoring and data processing system for building deformation of claim 1, wherein the intelligent data processing module comprises:
the data abnormality monitoring unit is used for acquiring the structural displacement of the associated monitoring point of the monitoring point based on the corrected position of the monitoring point and the position of the associated monitoring point of the monitoring point, determining the linear relation between the monitoring point and the associated monitoring point based on the structural displacement, and judging whether the monitoring point has an abnormality based on the linear relation.
8. The computer vision based intelligent monitoring and data processing system for building deformation of claim 7, wherein the intelligent data processing module further comprises:
and the automatic correction unit is used for checking whether the corrected position of the monitoring point has abnormal mutation displacement, and if so, setting the abnormal mutation displacement as the displacement before the abnormal mutation.
9. The computer vision based intelligent monitoring and data processing system for building deformation of claim 8, wherein the intelligent data processing module further comprises:
the noise reduction processing unit is used for generating a time and displacement curve of the monitoring point based on the corrected position of the monitoring point, and removing burrs of the time and displacement curve by adopting a mean noise reduction or Kalman filtering noise reduction method.
10. The computer vision-based intelligent monitoring and data processing system for building deformation of claim 1, wherein the intelligent data processing module further comprises:
and the platform visualization unit is used for sending the time and displacement curve of the monitoring point after the burr is removed to the mobile terminal.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310368931.6A CN116358436A (en) | 2023-04-07 | 2023-04-07 | Building deformation intelligent monitoring and data processing system based on computer vision |
| PCT/CN2023/118689 WO2024207681A1 (en) | 2023-04-07 | 2023-09-14 | Computer vision-based intelligent monitoring and data processing system for building deformation |
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| CN202310368931.6A CN116358436A (en) | 2023-04-07 | 2023-04-07 | Building deformation intelligent monitoring and data processing system based on computer vision |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117607959A (en) * | 2023-11-14 | 2024-02-27 | 哈尔滨工业大学 | Earthquake response monitoring method of medical system based on monocular monitoring |
| WO2024207681A1 (en) * | 2023-04-07 | 2024-10-10 | 上海建工四建集团有限公司 | Computer vision-based intelligent monitoring and data processing system for building deformation |
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| CN118999479B (en) * | 2024-10-18 | 2024-12-20 | 北京壬工智能科技有限公司 | Hydraulic engineering based on Beidou and equipment inclination settlement monitoring device and method thereof |
| CN118982794A (en) * | 2024-10-22 | 2024-11-19 | 山东中维世纪科技股份有限公司 | An IDC computer room anomaly detection method and system based on visual AI technology |
| CN119026810B (en) * | 2024-10-23 | 2025-02-07 | 辽宁通安消防安全技术工程有限公司 | Intelligent data management system for building fire safety monitoring |
| CN119624882B (en) * | 2024-11-20 | 2025-07-25 | 深圳纵横幕墙科技有限公司 | Building curtain wall monitoring method, system, device and storage medium |
| CN119323764B (en) * | 2024-12-18 | 2025-05-09 | 潍坊衡达尔工程质量检测有限公司 | Intelligent monitoring system and method for civil engineering building structure |
| CN119935382A (en) * | 2025-01-08 | 2025-05-06 | 安徽嘉艺建筑设计有限公司 | A visual monitoring method for building structure safety |
| CN120257212B (en) * | 2025-05-28 | 2025-08-26 | 中国建设基础设施有限公司 | Tunnel initial vault settlement monitoring method and device based on machine vision calibration |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6325871B2 (en) * | 2014-03-28 | 2018-05-16 | 株式会社キーエンス | Optical coordinate measuring device |
| CN104142124A (en) * | 2014-06-18 | 2014-11-12 | 重庆地质矿产研究院 | Non-contact laser surface displacement monitoring device with inclination correction function |
| WO2022126339A1 (en) * | 2020-12-14 | 2022-06-23 | 深圳大学 | Method for monitoring deformation of civil structure, and related device |
| CN113776449A (en) * | 2021-10-08 | 2021-12-10 | 云南航天工程物探检测股份有限公司 | Tunnel deformation monitoring system and method based on machine vision self-adaption |
| CN218097622U (en) * | 2022-08-22 | 2022-12-20 | 重庆市弘郡建设工程咨询有限公司 | An automatic monitoring device for bridge structure deformation |
| CN116358436A (en) * | 2023-04-07 | 2023-06-30 | 上海建工四建集团有限公司 | Building deformation intelligent monitoring and data processing system based on computer vision |
-
2023
- 2023-04-07 CN CN202310368931.6A patent/CN116358436A/en active Pending
- 2023-09-14 WO PCT/CN2023/118689 patent/WO2024207681A1/en unknown
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024207681A1 (en) * | 2023-04-07 | 2024-10-10 | 上海建工四建集团有限公司 | Computer vision-based intelligent monitoring and data processing system for building deformation |
| CN117607959A (en) * | 2023-11-14 | 2024-02-27 | 哈尔滨工业大学 | Earthquake response monitoring method of medical system based on monocular monitoring |
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