CN117095363A - Dam safety monitoring method - Google Patents
Dam safety monitoring method Download PDFInfo
- Publication number
- CN117095363A CN117095363A CN202311363672.4A CN202311363672A CN117095363A CN 117095363 A CN117095363 A CN 117095363A CN 202311363672 A CN202311363672 A CN 202311363672A CN 117095363 A CN117095363 A CN 117095363A
- Authority
- CN
- China
- Prior art keywords
- dam
- monitoring
- edge profile
- image
- pixel
- 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.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 109
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000012545 processing Methods 0.000 abstract description 3
- 238000012423 maintenance Methods 0.000 abstract description 2
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Marketing (AREA)
- Multimedia (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Image Analysis (AREA)
Abstract
The invention discloses a dam safety monitoring method, which belongs to the technical field of image processing and comprises the following steps: s1, acquiring a dam panoramic image, and cutting the dam panoramic image by using a cutting frame to generate a dam monitoring image; s2, determining a monitoring center point of the dam monitoring image; s3, determining the area where the crack of the dam is located according to the monitoring center point of the dam monitoring image. According to the method, the dam panoramic image containing the redundant area is properly cut, so that the dam monitoring image with proper specification is generated, and the algorithm flow can be effectively reduced; meanwhile, a monitoring center point is determined in the dam monitoring image, the accuracy of the monitoring center point can facilitate the accurate determination of the area where the dam crack is located in the subsequent step, and the generated area where the crack is located can provide powerful technical support for the safety monitoring of the dam, so that operation and maintenance personnel can find hidden dangers in time, and the normal operation of the dam is ensured.
Description
Technical Field
The invention belongs to the technical field of image processing, and particularly relates to a dam safety monitoring method.
Background
Along with the development of social economy, the scale of the hydraulic engineering building is continuously enlarged, and the dam is used as a water retaining building, so that a series of outstanding functions are exerted in aspects of flood control, water supply and the like, and therefore, the reliability monitoring of the dam has very important significance for evaluating the safe operation of the dam. The existing dam safety monitoring method focuses on the generation of abnormal data, but the abnormal data may be error data caused by instrument faults, environmental influences or human errors, and the image technology is not used for monitoring the occurrence of conditions such as dam cracks in real time.
Disclosure of Invention
The invention provides a dam safety monitoring method for solving the problems.
The technical scheme of the invention is as follows: a method of dam safety monitoring comprising the steps of:
s1, acquiring a dam panoramic image, and cutting the dam panoramic image by using a cutting frame to generate a dam monitoring image;
s2, determining a monitoring center point of the dam monitoring image;
s3, determining the area where the crack of the dam is located according to the monitoring center point of the dam monitoring image.
Further, in S1, the calculation formula of the length L of the crop box is:
the method comprises the steps of carrying out a first treatment on the surface of the Where a represents the length of the dam panoramic image and b represents the width of the dam panoramic image.
Further, in S1, the calculation formula of the width W of the crop box is:
the method comprises the steps of carrying out a first treatment on the surface of the Where a represents the length of the dam panoramic image and b represents the width of the dam panoramic image.
Further, S2 comprises the following sub-steps:
s21, extracting the 4 neighborhood of each pixel point in the dam monitoring image, and calculating the edge profile of each pixel point according to the 4 neighborhood of each pixel point to generate an edge profile set;
s22, extracting a first edge profile, a second edge profile, a third edge profile and a fourth edge profile from the edge profile set;
s23, connecting a pixel point to which the first edge profile belongs with a pixel point to which the second edge profile belongs to obtain a first edge profile line segment; connecting the pixel point to which the third edge profile belongs with the pixel point to which the fourth edge profile belongs to obtain a second edge profile line segment;
s24, judging whether the first edge contour line segment and the second edge contour line segment are intersected, if yes, entering S25, otherwise entering S26;
s25, taking a pixel point where an intersection point of the first edge contour line segment and the second edge contour line segment is located as a monitoring center point;
s26, taking the pixel point to which the first edge profile belongs as a monitoring center point.
Further, in S21, the calculation formula of the edge profile O of the pixel point is:
the method comprises the steps of carrying out a first treatment on the surface of the In the formula, h x,y Pixel value h representing pixel point with x abscissa and y ordinate in dam monitoring image x+1,y Pixel value h representing pixel point with x+1 abscissa and y ordinate in dam monitoring image x-1,y Pixel value h representing pixel point with x-1 on abscissa and y on ordinate in dam monitoring image x,y+1 Pixel value h representing pixel point with x abscissa and y+1 ordinate in dam monitoring image x,y-1 Representing the pixel value of a pixel point with x on the abscissa and y-1 on the ordinate in the dam monitoring image, and epsilon represents an infinitesimal amount.
Further, in S22, the method for extracting the first edge profile is as follows: taking the maximum value of the edge profile set as a first edge profile; the method for extracting the second edge profile comprises the following steps: taking the minimum value of the edge profile set as a fourth edge profile; the method for extracting the third edge profile and the third edge profile comprises the following steps: calculating the average value of all edge profile degrees, calculating the difference value between each edge profile degree and the average value, and taking the edge profile degree with the minimum difference value as a third edge profile degree; and taking the edge profile with the largest difference as a fourth edge profile.
Further, S3 comprises the following sub-steps:
s31, calculating the monitoring distance between a monitoring center point and each other pixel point in the dam monitoring image;
s32, determining a rectangular monitoring area according to the monitoring distance between the monitoring center point and each other pixel point;
s33, judging whether the monitoring center point is in the rectangular monitoring area, if so, entering S34, otherwise, entering S35;
s34, taking the rectangular monitoring area as an area where the crack of the dam is located;
s35, calculating Euclidean distances between the monitoring center point and four vertexes of the rectangular monitoring area, and determining the area where the crack of the dam is located.
Further, in S31, the calculation formula of the monitoring distance l between the monitoring center point and the remaining pixel points is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the In the formula, h u,v Pixel values representing remaining pixel points of the dam monitoring image having an abscissa u and an ordinate v, +.>Represents the abscissa u in the dam monitoring image 0 And the ordinate is v 0 And (2) the pixel values of the rest pixels of the dam monitoring image, wherein N represents the number of the pixels of the dam monitoring image, and e represents an index.
Further, in S32, the method for determining the image monitoring area includes: and connecting the pixel points corresponding to the maximum monitoring distance between the monitoring center points and the pixel points corresponding to the minimum monitoring distance between the monitoring center points to be used as diagonal lines of the rectangular monitoring area, and determining the rectangular monitoring area.
Further, in S35, the method for determining the area where the crack of the dam is located specifically includes: and drawing a circular area by taking the monitoring center point as a circle center and the Euclidean distance minimum value as a radius, and taking the circular area as an area where the crack of the dam is located.
The beneficial effects of the invention are as follows: the invention discloses a dam safety monitoring method, which is used for properly cutting a dam panoramic image containing a redundant area to generate a dam monitoring image with proper specification, so that the algorithm flow can be effectively reduced; meanwhile, a monitoring center point is determined in the dam monitoring image, the accuracy of the monitoring center point can facilitate the accurate determination of the area where the dam crack is located in the subsequent step, and the generated area where the crack is located can provide powerful technical support for the safety monitoring of the dam, so that operation and maintenance personnel can find hidden dangers in time, and the normal operation of the dam is ensured.
Drawings
FIG. 1 is a flow chart of a method of dam safety monitoring.
Detailed Description
Embodiments of the present invention are further described below with reference to the accompanying drawings.
As shown in fig. 1, the invention provides a dam safety monitoring method, which comprises the following steps:
s1, acquiring a dam panoramic image, and cutting the dam panoramic image by using a cutting frame to generate a dam monitoring image;
s2, determining a monitoring center point of the dam monitoring image;
s3, determining the area where the crack of the dam is located according to the monitoring center point of the dam monitoring image.
In the embodiment of the present invention, in S1, the calculation formula of the length L of the crop box is:
the method comprises the steps of carrying out a first treatment on the surface of the Where a represents the length of the dam panoramic image and b represents the width of the dam panoramic image.
In the embodiment of the present invention, in S1, the calculation formula of the width W of the crop box is:
the method comprises the steps of carrying out a first treatment on the surface of the Where a represents the length of the dam panoramic image and b represents the width of the dam panoramic image.
The size of the cutting frame is determined by the specifications of the dam panoramic image, so that the generated cutting frame is more suitable for the dam panoramic images with various specifications, and meanwhile, the clutter elements and useless areas of the dam panoramic image can be removed, the image quality is improved, and the flow of processing the images in the subsequent steps is reduced.
In an embodiment of the present invention, S2 comprises the following sub-steps:
s21, extracting the 4 neighborhood of each pixel point in the dam monitoring image, and calculating the edge profile of each pixel point according to the 4 neighborhood of each pixel point to generate an edge profile set;
s22, extracting a first edge profile, a second edge profile, a third edge profile and a fourth edge profile from the edge profile set;
s23, connecting a pixel point to which the first edge profile belongs with a pixel point to which the second edge profile belongs to obtain a first edge profile line segment; connecting the pixel point to which the third edge profile belongs with the pixel point to which the fourth edge profile belongs to obtain a second edge profile line segment;
s24, judging whether the first edge contour line segment and the second edge contour line segment are intersected, if yes, entering S25, otherwise entering S26;
s25, taking a pixel point where an intersection point of the first edge contour line segment and the second edge contour line segment is located as a monitoring center point;
s26, taking the pixel point to which the first edge profile belongs as a monitoring center point.
The determination of the monitoring center point is helpful for the subsequent steps of determining the area where the crack is located; the 4 neighborhood is used as the upper, lower, left and right places of the pixel point, and the peripheral 4 neighborhood pixel points of a certain pixel point can determine the edge contour of the pixel point.
In the embodiment of the present invention, in S21, the calculation formula of the edge profile O of the pixel point is:
the method comprises the steps of carrying out a first treatment on the surface of the In the formula, h x,y Pixel value h representing pixel point with x abscissa and y ordinate in dam monitoring image x+1,y Pixel value h representing pixel point with x+1 abscissa and y ordinate in dam monitoring image x-1,y Pixel value h representing pixel point with x-1 on abscissa and y on ordinate in dam monitoring image x,y+1 Pixel value h representing pixel point with x abscissa and y+1 ordinate in dam monitoring image x,y-1 Representing the pixel value of a pixel point with x on the abscissa and y-1 on the ordinate in the dam monitoring image, and epsilon represents an infinitesimal amount.
In the embodiment of the present invention, in S22, the method for extracting the first edge profile is as follows: taking the maximum value of the edge profile set as a first edge profile; the method for extracting the second edge profile comprises the following steps: taking the minimum value of the edge profile set as a fourth edge profile; the method for extracting the third edge profile and the third edge profile comprises the following steps: calculating the average value of all edge profile degrees, calculating the difference value between each edge profile degree and the average value, and taking the edge profile degree with the minimum difference value as a third edge profile degree; and taking the edge profile with the largest difference as a fourth edge profile.
In an embodiment of the present invention, S3 comprises the following sub-steps:
s31, calculating the monitoring distance between a monitoring center point and each other pixel point in the dam monitoring image;
s32, determining a rectangular monitoring area according to the monitoring distance between the monitoring center point and each other pixel point;
s33, judging whether the monitoring center point is in the rectangular monitoring area, if so, entering S34, otherwise, entering S35;
s34, taking the rectangular monitoring area as an area where the crack of the dam is located;
s35, calculating Euclidean distances between the monitoring center point and four vertexes of the rectangular monitoring area, and determining the area where the crack of the dam is located.
In the embodiment of the present invention, in S31, a calculation formula of a monitoring distance l between the monitoring center point and the remaining pixel points is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the In the formula, h u,v Pixel values representing remaining pixel points of the dam monitoring image having an abscissa u and an ordinate v, +.>Represents the abscissa u in the dam monitoring image 0 And the ordinate is v 0 And (2) the pixel values of the rest pixels of the dam monitoring image, wherein N represents the number of the pixels of the dam monitoring image, and e represents an index.
In the embodiment of the present invention, in S32, the method for determining the image monitoring area is as follows: and connecting the pixel points corresponding to the maximum monitoring distance between the monitoring center points and the pixel points corresponding to the minimum monitoring distance between the monitoring center points to be used as diagonal lines of the rectangular monitoring area, and determining the rectangular monitoring area.
In the embodiment of the present invention, in S35, the method for determining the area where the crack of the dam is located specifically includes: and drawing a circular area by taking the monitoring center point as a circle center and the Euclidean distance minimum value as a radius, and taking the circular area as an area where the crack of the dam is located.
Those of ordinary skill in the art will recognize that the embodiments described herein are for the purpose of aiding the reader in understanding the principles of the present invention and should be understood that the scope of the invention is not limited to such specific statements and embodiments. Those of ordinary skill in the art can make various other specific modifications and combinations from the teachings of the present disclosure without departing from the spirit thereof, and such modifications and combinations remain within the scope of the present disclosure.
Claims (10)
1. A method for monitoring dam safety, comprising the steps of:
s1, acquiring a dam panoramic image, and cutting the dam panoramic image by using a cutting frame to generate a dam monitoring image;
s2, determining a monitoring center point of the dam monitoring image;
s3, determining the area where the crack of the dam is located according to the monitoring center point of the dam monitoring image.
2. The dam safety monitoring method according to claim 1, wherein in S1, a calculation formula of a length L of the cutting frame is:
the method comprises the steps of carrying out a first treatment on the surface of the Where a represents the length of the dam panoramic image and b represents the width of the dam panoramic image.
3. The dam safety monitoring method according to claim 1, wherein in S1, a calculation formula of the width W of the cutting frame is:
the method comprises the steps of carrying out a first treatment on the surface of the Where a represents the length of the dam panoramic image and b represents the width of the dam panoramic image.
4. The dam safety monitoring method according to claim 1, wherein said S2 comprises the sub-steps of:
s21, extracting the 4 neighborhood of each pixel point in the dam monitoring image, and calculating the edge profile of each pixel point according to the 4 neighborhood of each pixel point to generate an edge profile set;
s22, extracting a first edge profile, a second edge profile, a third edge profile and a fourth edge profile from the edge profile set;
s23, connecting a pixel point to which the first edge profile belongs with a pixel point to which the second edge profile belongs to obtain a first edge profile line segment; connecting the pixel point to which the third edge profile belongs with the pixel point to which the fourth edge profile belongs to obtain a second edge profile line segment;
s24, judging whether the first edge contour line segment and the second edge contour line segment are intersected, if yes, entering S25, otherwise entering S26;
s25, taking a pixel point where an intersection point of the first edge contour line segment and the second edge contour line segment is located as a monitoring center point;
s26, taking the pixel point to which the first edge profile belongs as a monitoring center point.
5. The dam safety monitoring method according to claim 4, wherein in S21, the calculation formula of the edge profile O of the pixel point is:
the method comprises the steps of carrying out a first treatment on the surface of the In the formula, h x,y Pixel value h representing pixel point with x abscissa and y ordinate in dam monitoring image x+1,y Pixel value h representing pixel point with x+1 abscissa and y ordinate in dam monitoring image x-1,y Pixel value h representing pixel point with x-1 on abscissa and y on ordinate in dam monitoring image x,y+1 Pixel value h representing pixel point with x abscissa and y+1 ordinate in dam monitoring image x,y-1 Representing the pixel value of a pixel point with x on the abscissa and y-1 on the ordinate in the dam monitoring image, and epsilon represents an infinitesimal amount.
6. The dam safety monitoring method according to claim 4, wherein in S22, the method for extracting the first edge profile is as follows: taking the maximum value of the edge profile set as a first edge profile; the method for extracting the second edge profile comprises the following steps: taking the minimum value of the edge profile set as a fourth edge profile; the method for extracting the third edge profile and the third edge profile comprises the following steps: calculating the average value of all edge profile degrees, calculating the difference value between each edge profile degree and the average value, and taking the edge profile degree with the minimum difference value as a third edge profile degree; and taking the edge profile with the largest difference as a fourth edge profile.
7. The dam safety monitoring method according to claim 1, wherein said S3 comprises the sub-steps of:
s31, calculating the monitoring distance between a monitoring center point and each other pixel point in the dam monitoring image;
s32, determining a rectangular monitoring area according to the monitoring distance between the monitoring center point and each other pixel point;
s33, judging whether the monitoring center point is in the rectangular monitoring area, if so, entering S34, otherwise, entering S35;
s34, taking the rectangular monitoring area as an area where the crack of the dam is located;
s35, calculating Euclidean distances between the monitoring center point and four vertexes of the rectangular monitoring area, and determining the area where the crack of the dam is located.
8. The dam safety monitoring method according to claim 7, wherein in S31, the calculation formula of the monitoring distance l between the monitoring center point and the remaining pixel points is:
the method comprises the steps of carrying out a first treatment on the surface of the In the formula, h u,v Pixel values representing remaining pixel points of the dam monitoring image having an abscissa u and an ordinate v, +.>Represents the abscissa u in the dam monitoring image 0 And the ordinate is v 0 And (2) the pixel values of the rest pixels of the dam monitoring image, wherein N represents the number of the pixels of the dam monitoring image, and e represents an index.
9. The dam safety monitoring method according to claim 7, wherein in S32, the method for determining the image monitoring area is: and connecting the pixel points corresponding to the maximum monitoring distance between the monitoring center points and the pixel points corresponding to the minimum monitoring distance between the monitoring center points to be used as diagonal lines of the rectangular monitoring area, and determining the rectangular monitoring area.
10. The dam safety monitoring method according to claim 7, wherein in S35, the method for determining the area where the crack of the dam is located specifically comprises: and drawing a circular area by taking the monitoring center point as a circle center and the Euclidean distance minimum value as a radius, and taking the circular area as an area where the crack of the dam is located.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311363672.4A CN117095363B (en) | 2023-10-20 | 2023-10-20 | Dam safety monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311363672.4A CN117095363B (en) | 2023-10-20 | 2023-10-20 | Dam safety monitoring method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117095363A true CN117095363A (en) | 2023-11-21 |
| CN117095363B CN117095363B (en) | 2024-01-26 |
Family
ID=88775720
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311363672.4A Active CN117095363B (en) | 2023-10-20 | 2023-10-20 | Dam safety monitoring method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117095363B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117935148A (en) * | 2024-01-04 | 2024-04-26 | 青岛宇慧绿色工贸有限公司 | Production monitoring image processing method of mixed fertilizer |
| CN118172735A (en) * | 2024-05-16 | 2024-06-11 | 成都航空职业技术学院 | Security monitoring method for intelligent house |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20190095167A (en) * | 2018-02-05 | 2019-08-14 | 이철희 | Apparatus and method for focusing in camera |
| GB202012738D0 (en) * | 2019-08-15 | 2020-09-30 | China Institute Of Water Resources And Res | System and method for monitoring deformation of dam slope |
| AU2021100365A4 (en) * | 2021-01-20 | 2021-04-15 | Three Gorges University | A multi-sensor-based intelligent monitoring and early warning system and method for dam safety |
| KR20210115246A (en) * | 2020-03-12 | 2021-09-27 | 이용 | Integral maintenance control method and system for managing dam safety based on 3d modelling |
| CN214749853U (en) * | 2020-12-25 | 2021-11-16 | 红山科技(潮州)有限公司 | A crack landslide monitoring devices that sinks for dam |
| CN114966685A (en) * | 2022-05-24 | 2022-08-30 | 中国水利水电科学研究院 | Dam deformation monitoring and predicting method based on InSAR and deep learning |
| CN115546628A (en) * | 2022-08-29 | 2022-12-30 | 邯郸市亿润工程咨询有限公司 | Hydraulic engineering dam crack monitoring method, device, equipment and medium |
| CN115854912A (en) * | 2022-11-30 | 2023-03-28 | 国网福建省电力有限公司 | Dam water seepage area recognition device and method based on three-dimensional laser scanning technology |
| CN116861361A (en) * | 2023-06-27 | 2023-10-10 | 河海大学 | Dam deformation evaluation method based on image-text multi-mode fusion |
-
2023
- 2023-10-20 CN CN202311363672.4A patent/CN117095363B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20190095167A (en) * | 2018-02-05 | 2019-08-14 | 이철희 | Apparatus and method for focusing in camera |
| GB202012738D0 (en) * | 2019-08-15 | 2020-09-30 | China Institute Of Water Resources And Res | System and method for monitoring deformation of dam slope |
| KR20210115246A (en) * | 2020-03-12 | 2021-09-27 | 이용 | Integral maintenance control method and system for managing dam safety based on 3d modelling |
| CN214749853U (en) * | 2020-12-25 | 2021-11-16 | 红山科技(潮州)有限公司 | A crack landslide monitoring devices that sinks for dam |
| AU2021100365A4 (en) * | 2021-01-20 | 2021-04-15 | Three Gorges University | A multi-sensor-based intelligent monitoring and early warning system and method for dam safety |
| CN114966685A (en) * | 2022-05-24 | 2022-08-30 | 中国水利水电科学研究院 | Dam deformation monitoring and predicting method based on InSAR and deep learning |
| CN115546628A (en) * | 2022-08-29 | 2022-12-30 | 邯郸市亿润工程咨询有限公司 | Hydraulic engineering dam crack monitoring method, device, equipment and medium |
| CN115854912A (en) * | 2022-11-30 | 2023-03-28 | 国网福建省电力有限公司 | Dam water seepage area recognition device and method based on three-dimensional laser scanning technology |
| CN116861361A (en) * | 2023-06-27 | 2023-10-10 | 河海大学 | Dam deformation evaluation method based on image-text multi-mode fusion |
Non-Patent Citations (4)
| Title |
|---|
| CHEN D等: ""A Review of Detection Technologies for Underwater Cracks on Concrete Dam Surfaces"", 《APPLIED SCIENCES.》, vol. 13, no. 6, pages 3564 * |
| Y. HUANG等: ""Image Stitching Algorithm Based on Region Division for Underwater Dam Crack Image"", 《2021 IEEE INTERNATIONAL CONFERENCE ON PROGRESS IN INFORMATICS AND COMPUTING (PIC)》, no. 2021, pages 112 - 117, XP034047523, DOI: 10.1109/PIC53636.2021.9687041 * |
| 徐辉: ""基于图像显著性的大坝裂缝检测"", 《工业控制计算机》, vol. 31, no. 9, pages 3 * |
| 谢丹等: ""融合多特征因素的像素级裂缝检测"", 《智能计算机与应用》, vol. 13, no. 10, pages 112 - 117 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117935148A (en) * | 2024-01-04 | 2024-04-26 | 青岛宇慧绿色工贸有限公司 | Production monitoring image processing method of mixed fertilizer |
| CN118172735A (en) * | 2024-05-16 | 2024-06-11 | 成都航空职业技术学院 | Security monitoring method for intelligent house |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117095363B (en) | 2024-01-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN117095363B (en) | Dam safety monitoring method | |
| CN108764229B (en) | Water gauge image automatic identification method based on computer vision technology | |
| CN115439481B (en) | Deaerator welding quality detection method based on image processing | |
| CN101600957B (en) | Defect detecting device, and defect detecting method | |
| CN114782419B (en) | Water conservancy construction gradient detection method | |
| CN115690823B (en) | Table information extraction method and device with burr characteristics in electrical drawing | |
| CN112669301B (en) | High-speed rail bottom plate paint removal fault detection method | |
| CN112016557B (en) | Method for removing form interference line | |
| CN112101351B (en) | Text line rotation correction method and device based on projection | |
| CN115358983A (en) | Tool defect detection method, tool defect detection apparatus, and computer-readable storage medium | |
| CN114926395B (en) | Method and system for detecting infrared image drop strings of photovoltaic panel | |
| CN102509265B (en) | Digital image denoising method based on gray value difference and local energy | |
| CN112857252B (en) | Tunnel image boundary line detection method based on reflectivity intensity | |
| CN113705564B (en) | Pointer type instrument identification reading method | |
| CN116385735A (en) | Water level measurement method based on image recognition | |
| CN111161264A (en) | Method for segmenting TFT circuit image with defects | |
| CN110766707B (en) | Cavitation bubble image processing method based on multi-operator fusion edge detection technology | |
| CN111814780A (en) | Bill image processing method, device and equipment and storage medium | |
| CN113554664B (en) | Subway tunnel reflectivity image optimization cutting method | |
| CN109741401A (en) | It is a kind of that On-line Measuring Method being installed under water for jacket based on what image restored | |
| CN118071756B (en) | Diamond-based image data processing method | |
| CN118229643A (en) | Sintering machine grate fault detection method | |
| CN117690846B (en) | Visual detection method, device and equipment for solar silicon wafer and storage medium | |
| CN117952973A (en) | Photovoltaic junction box fault detection method based on contour matching | |
| CN118366141A (en) | Centralized meter of transformer substation and defect identification method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |