CN117095363B - Dam safety monitoring method - Google Patents

Dam safety monitoring method Download PDF

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CN117095363B
CN117095363B CN202311363672.4A CN202311363672A CN117095363B CN 117095363 B CN117095363 B CN 117095363B CN 202311363672 A CN202311363672 A CN 202311363672A CN 117095363 B CN117095363 B CN 117095363B
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dam
monitoring
edge profile
image
pixel
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CN117095363A (en
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吴旺明
王曾伟
刘纵辉
彭勇源
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Aneng Third Engineering Bureau Chengdu Engineering Quality Inspection Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/08Construction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/26Segmentation 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
    • G06V10/267Segmentation 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
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A10/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
    • Y02A10/40Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping

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  • Business, Economics & Management (AREA)
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  • General Health & Medical Sciences (AREA)
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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

Dam safety monitoring method
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 second edge profile; the method for extracting the third edge profile and the fourth 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 Wherein, table aShowing 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 Representing a dam supervisionMeasuring pixel values of pixel points with x abscissa and y ordinate in the image, and h 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 second edge profile; the method for extracting the third edge profile and the fourth 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 (3)

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;
the step S2 comprises the following substeps:
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 a pixel point to which the first edge profile belongs as a monitoring center point;
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 Pixel values of pixel points with x abscissa and y-1 ordinate in the dam monitoring image are represented, and epsilon represents infinitesimal quantity;
in S22, the method for extracting the first edge profile includes: 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 second edge profile; the method for extracting the third edge profile and the fourth 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; taking the edge profile with the largest difference as a fourth edge profile;
the step S3 comprises the following substeps:
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 a monitoring center point and four vertexes of a rectangular monitoring area, and determining the area where the crack of the dam is located;
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 The pixel values of the rest pixels of the dam monitoring image are represented by N, and e represents an index;
in S32, the method for determining the image monitoring area includes: connecting a pixel point corresponding to the maximum value of the monitoring distance between the monitoring center points and a pixel point corresponding to the minimum value of the monitoring distance between the monitoring center points, and determining a rectangular monitoring area by using the pixel points as diagonal lines of the rectangular monitoring area;
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.
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.
CN202311363672.4A 2023-10-20 2023-10-20 Dam safety monitoring method Active CN117095363B (en)

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