A method, system, terminal and readable storage medium for monitoring quasi-static deformation of a structure based on zoom imaging

Abstract

The present invention relates to the field of image processing technology, and discloses a method, system, terminal and readable storage medium for monitoring quasi-static deformation of a structure based on zoom imaging, wherein the method comprises: obtaining multiple marker point shooting images obtained by shooting multiple marker points with a zoom camera, and recording the camera shooting parameters when shooting each marker point; obtaining each marker point initial image of each marker point, obtaining the camera initial parameters corresponding to the multiple marker points, and obtaining the pixel difference of each marker point; obtaining the marker point displacement of each unknown marker point, and outputting monitoring results according to the displacement of each marker point. The present invention records the parameters of the camera at each shooting, and corrects the changes brought by the parameters, and corrects the unknown marker points based on the changes of the shooting images of the known marker points on the zoom camera, thereby overcoming the influence of the inconsistent focal length alignment of the zoom lens group and the shaking of the platform on the zoom camera monitoring system, thereby improving the accuracy of camera shooting.

Description

Technical Field

[0001] The present invention relates to the field of image processing technology, and in particular to a method, system, terminal and readable storage medium for monitoring quasi-static deformation of a structure based on zoom imaging. Background Art

[0002] With the large-scale development of infrastructure and industry, large structures such as bridges and tunnels are widely used. In order to ensure public safety and extend the service life of the structure, existing technologies use camera-based visual detection systems to monitor the health of large structures. Large structures such as tunnels are characterized by long distances and complex environments. Vertical displacement and horizontal displacement are important indicators of structural deformation. High accuracy and long-distance coverage are the key points of monitoring.

[0003] Existing camera-based structural deformation monitoring methods mainly include fixed-focus camera systems and zoom camera systems.

[0004] Among them, the fixed-focus lens of the fixed-focus camera system usually has less distortion than the zoom lens of the zoom camera system, and more accurate and realistic image data can be obtained in the measurement. Due to the fixed focal length, the fixed-focus camera can maintain a consistent viewing angle and ratio in continuous measurement or long-term monitoring, which is very useful for comparing measurement results at different time points. Therefore, fixed-focus cameras are widely used in structural monitoring and measurement due to their high precision and good stability. At present, the latest research on the monitoring method of fixed-focus cameras in structural monitoring is the fixed-focus camera networking method, which consists of multiple dual-head camera stations and can be directly installed on or in the main beam of the bridge. The fixed-focus camera achieves high-precision measurement over long distances. However, its disadvantage is that the focal length of the fixed-focus camera is fixed, and the number of cameras required for monitoring large structures is large, the cost is high, and the accuracy is affected by the number and resolution of cameras.

[0005] Based on the above reasons, the existing technology mostly uses zoom camera systems based on zoom lenses when monitoring large institutions. Zoom lenses can easily adjust the focal length, thereby changing the shooting range without changing the camera position. This is very useful for measuring large structures or situations where observations need to be made from different scales. The use of zoom cameras can replace multiple fixed-focus lenses to a certain extent, reduce the number of equipment carried and used, and simplify the measurement process. The main measurement systems of zoom cameras currently include close-range zoom camera calibration methods and parallel camera arrays based on deep learning. Multiple zoom cameras are used to form an array, and deep learning is used to improve resolution. Multiple zoom cameras take pictures to provide a large field of view.

[0006] However, the measurement accuracy of the zoom camera system in the prior art assumes that the zoom camera has extremely high zoom accuracy and can zoom to the same focal length each time an image is taken at the same position. This relies on repeatability accuracy and zoom accuracy and does not take into account the impact of platform shaking, resulting in measurement accuracy that cannot meet requirements. Summary of the invention

[0007] The purpose of the present invention is to provide a method, system, terminal and readable storage medium for monitoring quasi-static deformation of a structure based on zoom imaging, aiming to solve the problem of insufficient measurement accuracy of the monitoring system based on zoom camera in the prior art.

[0008] The technical solution adopted by the present invention to solve the technical problem is as follows:

[0009] The present invention provides a method for monitoring structural quasi-static deformation based on zoom imaging, and the method for monitoring structural quasi-static deformation based on zoom imaging comprises:

[0010] Acquire multiple marker point shooting images obtained by shooting the multiple marker points with a zoom camera, and record the camera shooting parameters when shooting each marker point, wherein the marker points include multiple unknown marker points located on the monitored structure and at least two known marker points;

[0011] Obtaining initial images of each of the marker points, obtaining initial camera parameters corresponding to the multiple marker points, and obtaining pixel difference values ​​of each of the marker points according to the initial images of each of the marker points and the images taken by each of the marker points;

[0012] The marker point displacement of each unknown marker point is obtained according to the pixel difference of the known marker point, the pixel difference of the unknown marker point, the initial camera parameters corresponding to the marker point and the camera shooting parameters corresponding to the marker point, and the monitoring result is output according to the displacement of each marker point.

[0013] Furthermore, the step of obtaining the pixel difference of each marker point according to the initial image of each marker point and the captured image of each marker point specifically includes:

[0014] For each of the marker points, the initial image center pixel coordinates and the initial marker point pixel coordinates on the initial image of the corresponding marker point are obtained, and the initial pixel distance between the initial image center pixel coordinates and the initial marker point pixel coordinates is calculated;

[0015] Obtaining the center pixel coordinates of the captured image and the pixel coordinates of the captured mark point on the captured image of the corresponding mark point, and calculating the captured pixel distance between the center pixel coordinates of the captured image and the pixel coordinates of the captured mark point;

[0016] The pixel difference is calculated according to the photographed pixel distance and the initial pixel distance.

[0017] Further, obtaining the marker point displacement of each unknown marker point according to the pixel difference of the known marker point, the pixel difference of the unknown marker point, the initial camera parameter corresponding to the marker point, and the camera shooting parameter corresponding to the marker point specifically includes:

[0018] According to the pixel difference of the known marker point, obtaining the camera displacement and angle change of the zoom camera;

[0019] The marker point displacement of each of the unknown marker points is calculated according to the camera displacement, the angle change, the pixel difference of the unknown marker point, the camera initial parameters corresponding to the marker point and the camera shooting parameters corresponding to the marker point.

[0020] Further, calculating the marker point displacement of each unknown marker point according to the camera displacement, the angle change, the pixel difference of the unknown marker point, the camera initial parameters corresponding to the marker point and the camera shooting parameters corresponding to the marker point specifically includes:

[0021] For each unknown marker point, correct the pixel difference according to the camera initial parameters and the camera shooting parameters to obtain a corrected pixel difference;

[0022] The marker point displacement of each of the unknown marker points is calculated according to the camera displacement, the angle change and the corrected pixel difference of each of the unknown marker points.

[0023] Furthermore, the camera shooting parameters include shooting focal length and shooting magnification;

[0024] The initial camera parameters include an initial focal length;

[0025] The step of correcting the pixel difference according to the initial camera parameters and the camera shooting parameters to obtain the corrected pixel difference specifically includes:

[0026] Acquire a zoom correction item according to the shooting focal length and the initial focal length;

[0027] The pixel difference of the unknown marker point is corrected according to the zoom correction item and the shooting magnification to obtain the corrected pixel difference.

[0028] Furthermore, the marker point displacement includes horizontal displacement and vertical displacement;

[0029] The monitoring results include the horizontal convergence and settlement of the monitored structure;

[0030] Outputting the monitoring results according to the displacement of each of the marking points specifically includes:

[0031] Outputting the horizontal convergence amount according to each of the horizontal displacements;

[0032] The settlement amount is output according to each of the vertical displacements.

[0033] In addition, to achieve the above-mentioned purpose, the present invention also provides a structural quasi-static deformation monitoring system based on zoom imaging, and the structural quasi-static deformation monitoring system based on zoom imaging comprises:

[0034] A zoom shooting module, used to obtain multiple marker point shooting images obtained by shooting multiple marker points with a zoom camera, and record the camera shooting parameters when shooting each marker point, wherein the marker points include multiple unknown marker points located on the monitored structure, and at least two known marker points;

[0035] A difference calculation module is used to obtain initial images of each of the marker points, obtain initial camera parameters corresponding to the multiple marker points, and obtain pixel differences of each of the marker points based on the initial images of each of the marker points and the images taken by each of the marker points;

[0036] The displacement calculation module is used to obtain the marker point displacement of each unknown marker point according to the pixel difference of the known marker point, the pixel difference of the unknown marker point, the camera initial parameters corresponding to the marker point and the camera shooting parameters corresponding to the marker point, and output the monitoring result according to the displacement of each marker point.

[0037] In addition, to achieve the above-mentioned purpose, the present invention also provides a terminal, which includes: a memory, a processor, and a structural quasi-static deformation monitoring program based on zoom imaging stored in the memory and run on the processor. When the structural quasi-static deformation monitoring program based on zoom imaging is executed by the processor, the terminal is controlled to implement the steps of the structural quasi-static deformation monitoring method based on zoom imaging as described above.

[0038] In addition, to achieve the above-mentioned purpose, the present invention also provides a readable storage medium, which stores a structural quasi-static deformation monitoring program based on zoom imaging. When the structural quasi-static deformation monitoring program based on zoom imaging is executed by a processor, the steps of the structural quasi-static deformation monitoring method based on zoom imaging as described above are implemented.

[0039] The present invention adopts the above technical solution to achieve the following effects:

[0040] The present invention records the parameters of the camera each time it shoots, corrects the changes caused by the parameters, sets known marker points, and corrects unknown marker points based on the changes of the known marker points on the image shot by the zoom camera, thereby making high-precision real-time corrections to the camera angle and camera displacement changes caused by inconsistent focal length alignment of the zoom lens group and an unstable platform, thereby overcoming the influence of zoom repeatability and platform shaking on the measurement accuracy of the zoom camera monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a flowchart of the steps of a method for monitoring quasi-static deformation of a structure based on zoom imaging in a preferred embodiment of the present invention;

[0042] Figure 2 It is a detailed flow chart of a method for monitoring quasi-static deformation of a structure based on zoom imaging in a preferred embodiment of the present invention;

[0043] Figure 3 is a schematic diagram of shooting with a zoom camera in a preferred embodiment of the present invention;

[0044] Figure 4 is an imaging principle diagram of a zoom camera in a preferred embodiment of the present invention;

[0045] Figure 5 is a schematic diagram of camera displacement based on zoom imaging in a preferred embodiment of the present invention;

[0046] Figure 6 It is a structural schematic diagram of a quasi-static deformation monitoring of a structure based on zoom imaging in a preferred embodiment of the present invention;

[0047] Figure 7 A schematic diagram of an operating environment of a preferred embodiment of a terminal of the present invention. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0049] Embodiment 1

[0050] See also Figure 1 and Figure 2 Embodiment 1 of the present application is a method for monitoring quasi-static deformation of a structure based on zoom imaging, which comprises the steps of:

[0051] S1. Acquire multiple marker point shooting images obtained by shooting multiple marker points with a zoom camera, and record the camera shooting parameters when shooting each marker point. The marker points include multiple unknown marker points located on the monitored structure and at least two known marker points.

[0052] Please refer to Figure 3 The present invention sets a circle of marking points 3 on the structural section 2 at different positions of the monitored structure, and the marking points 3 are set within the effective focal length of the zoom camera 1. The marking points 3 are directly fixedly connected to the monitored structure. Specifically, in this embodiment, the top of the monitored structural section 2, the bottom of the structural section 2, and the left and right of the structural section 2 each include at least one marking point 3. The zoom camera 1 obtains different fields of view 4 by adjusting to different focal lengths to capture images at different marking points.

[0053] In this embodiment, a group of marker points 3 are set every twenty to fifty meters, and the zoom camera 1 reflects the deformation of the structure by monitoring the displacement of the marker points 3. In this embodiment, the known marker points can be unchanging marker points set on an unchanging structure, such as fixed marker points set on the ground, or measurement marker points whose current positions can be directly obtained by other means.

[0054] In addition, when monitoring a structure, the zoom camera 1 of the prior art usually assumes that the camera can zoom to the same distance each time it shoots the same position. This assumption ignores the fact that the zoom principle of the zoom camera 1 is achieved by controlling the positional relationship of the lens group. When zooming, it cannot keep the focal length consistent with the previous shooting of the same position, and cannot achieve such high repeatability accuracy. This leads to further errors in measurement accuracy in addition to platform shaking.

[0055] Based on the above reasons, in this embodiment, when photographing each mark point 3, the camera shooting parameters when photographing each mark point 3 are also recorded, so as to be compared with the initial camera parameters when photographing the mark point 3 at the beginning, so as to correct the error caused by the repeatability accuracy of the zoom camera 1. Specifically, in this embodiment, the recorded camera shooting parameters include the shooting magnification and the shooting focal length.

[0056] S2. Obtaining initial images of each of the marker points, obtaining initial camera parameters corresponding to the multiple marker points, and obtaining pixel difference values ​​of each of the marker points based on the initial images of each of the marker points and the images taken of each of the marker points.

[0057] Specifically, the camera captures initial images of multiple marker points at different positions in the initial state, and then extracts the pixel coordinates of the marker point 3 in the initial image of the marker point. After a certain period of time, due to structural deformation and shaking of the camera platform, the zoom camera 1 undergoes an angle change and a vertical displacement, and each marker point 3 also undergoes vertical or horizontal displacement. In this case, step S1 re-shoots the same multiple marker points 3.

[0058] Then, the pixel difference of the same marker point 3 on the marker point initial image and the marker point captured image is extracted respectively. Based on the pixel difference of multiple marker points 3 on the two images, a formula can be formed in the subsequent steps for solving, so as to correct the deviation of the camera caused by the platform shaking.

[0059] In addition, as mentioned above, in addition to the platform shaking, the repeatability accuracy of the zoom camera 1 will also cause measurement errors. For this reason, in this embodiment, in the initial state, when the initial image of the mark point is taken, the initial camera parameters when each mark point 3 is photographed are also recorded. In step S2, in addition to obtaining the pixel difference of each mark point 3 based on the initial image of the mark point and the image taken by the mark point, the change parameters are also obtained based on the initial camera parameters and the camera shooting parameters, so as to correct the deviation caused by the parameter change in subsequent steps.

[0060] Specifically, the initial parameters of the camera in this embodiment include an initial focal length, and the variable parameters in this embodiment include a zoom correction item, which is calculated based on the initial focal length and the shooting focal length.

[0061] S3. Obtain the marker point displacement of each unknown marker point according to the pixel difference of the known marker point, the pixel difference of the unknown marker point, the initial camera parameters corresponding to the marker point and the camera shooting parameters corresponding to the marker point, and output the monitoring result according to the displacement of each marker point.

[0062] In this embodiment, the camera displacement and angle change of the zoom camera 1 are obtained through the pixel difference of the known mark points, and correction is performed according to the camera displacement and angle change of the zoom camera 1. The actual displacement of each unknown mark point is calculated in combination with the pixel difference of each mark point 3. Finally, the situation of the monitored structure is judged according to the actual displacement of each unknown mark point to output the monitoring result.

[0063] Specifically, the zoom imaging principle is as follows Figure 4 As shown, the optical center is , during the zooming process, it is assumed that the optical center does not move, the imaging plane moves, and the imaging planes are parallel to each other before and after zooming. The focal length is The center of the imaging plane is denoted by , for example, Points photographed , and its corresponding focal length is recorded as , the center of the imaging plane is recorded as ,in, = , will Points photographed , and its corresponding focal length is recorded as , the center of the imaging plane is recorded as ,in, = , then there is a zoom imaging formula:

[0064] ;

[0065] The present invention establishes a camera displacement model based on zoom imaging based on the zoom imaging formula. Specifically, Figure 5 As shown, the camera displacement model based on zoom imaging includes a zoom camera 1 and a set of marker points 3 at different distances within its effective focal length. In the initial state, the zoom camera 1 captures the first The image of the landmark point 3 is obtained, and the initial image of the landmark point is obtained. The distance between the landmark point 3 and the zoom camera 1 is recorded as , take the first shot in the initial state The initial magnification of the zoom camera 1 when capturing images at the landmark points is recorded as , Defined as the initial state of the first shot When the image is captured by the marker point, the ratio of the pixel difference of any point in the image to the actual displacement difference of the point is recorded as , the initial pixel coordinate of the vertical direction of the marker point 3 is marked as , the initial image center pixel coordinates on the initial image of the landmark point are marked as .

[0066] After that, the zoom camera 1 needs to zoom in and shoot images of different marker points at different distances, and re-control the camera shooting distance after a period of time. The The image is taken at the mark point 3. Since the zoom of the zoom camera 1 is achieved by controlling the position relationship of the lens group, the focus of the second shot cannot be consistent with the focus of the previous shot due to the machine control error causing repeatability accuracy problems and platform changes. At this time, the zoom is changed to the initial focal length. Nearby shooting focal length , and at this time the zoom camera 1 undergoes a camera displacement and an angle change , and during this period of time A vertical or horizontal displacement occurs at the mark point 3 , take an image of the same landmark point 3, and the shooting magnification at this time is recorded as , the initial focal length and shooting focal length The zoom correction term between , according to the initial marker point 3 initial marker point pixel coordinates and the initial image center pixel coordinates , and the pixel coordinates of the marker point 3 after the change and the center pixel coordinates of the captured image , the pixel difference of the same landmark point 3 can be calculated , then the pixel difference of the same landmark point 3 in the two images Satisfy the formula:

[0067] ;

[0068] The above equation can also be considered as and right Correction, that is, correction of pixel difference .

[0069] Use camera zoom to take photos at different distances 3 landmarks can be listed The above equations give The system of equations consists of:

[0070] ;

[0071] in, is the pixel difference of the first landmark point 3, The zoom correction item for zoom camera 1 to shoot the first marker point 3, The variable magnification of the first marker point 3 photographed by the zoom camera 1, is the distance between the zoom camera 1 and the first marker point 3, is the mark point displacement of the first mark point 3. Similarly, is the pixel difference of the second landmark point 3, The zoom correction item for the second marker point 3 captured by the zoom camera 1, The variable magnification of the second marker point 3 photographed by the zoom camera 1, is the distance between the zoom camera 1 and the second marker point 3, is the mark point displacement of the second mark point 3, For the The pixel difference of the landmark point 3, Shoot the first The zoom correction item of the marker point 3, Shoot the first The magnification of the change of the marker point 3, For zoom camera 1 and The distance between the landmark points 3, For the The marker point displacement of marker point 3.

[0072] It can be seen that In the equation, the unknown quantity is the camera displacement of a zoom camera 1 and 1 zoom camera 1 angle change ,besides The displacement of the landmark point 3 ,total +2 unknown quantities, only need to know the displacement of 2 or more stable landmark points 3 Then the system of equations can be solved. In this embodiment, the nearest first landmark point 3 and the farthest first landmark point 4 are selected. The first landmark point 3 is used as a stable point, and stable known landmark points are set at both ends of the monitored structure, that is, the nearest first landmark point 3 and the farthest The displacement of the marker point 3 is a known quantity, and its precise displacement needs to be measured. Then, the remaining displacements can be solved quickly by the linear least squares method. - The marker displacements of the 2 unknown markers and the camera displacement of zoom camera 1 and angle changes .

[0073] Camera displacement of zoom camera 1 and angle changes That is, the solution result of compensating the shaking of the zoom camera 1 platform. The displacement of the marker point 3 solved by the equation group is the calculation result after considering the vertical displacement and pitch angle of the zoom camera 1. The vertical displacement of the unknown marker point arranged on the structural section 2 can reflect the settlement of the structure, and the horizontal displacement of the unknown marker point reflects the horizontal convergence of the structure, thereby realizing the monitoring of the vertical settlement and horizontal convergence of the structure.

[0074] The present invention sets known marker points and corrects unknown marker points based on changes in images captured by the known marker points on a zoom camera, thereby making high-precision real-time corrections to camera angles and camera displacement changes caused by inconsistent focal length alignment of a zoom lens group and an unstable platform, thereby overcoming the problem that the measurement accuracy of a zoom camera monitoring system is affected by zoom repeatability and platform shaking.

[0075] Embodiment 2

[0076] See also Figure 6 Based on the above method, the present invention also provides a structural quasi-static deformation monitoring system based on zoom imaging, and the structural quasi-static deformation monitoring system based on zoom imaging includes:

[0077] A zoom shooting module 51 is used to obtain multiple marker point shooting images obtained by shooting multiple marker points with a zoom camera, and record the camera shooting parameters when shooting each marker point, wherein the marker points include multiple unknown marker points located on the monitored structure, and at least two known marker points;

[0078] The difference calculation module 52 is used to obtain the initial images of each of the marker points, obtain the initial parameters of the camera corresponding to the multiple marker points, and obtain the pixel difference of each of the marker points according to the initial images of each of the marker points and the images taken by each of the marker points;

[0079] The displacement calculation module 53 is used to obtain the marker point displacement of each unknown marker point according to the pixel difference of the known marker point, the pixel difference of the unknown marker point, the camera initial parameters corresponding to the marker point and the camera shooting parameters corresponding to the marker point, and output the monitoring result according to the displacement of each marker point.

[0080] Embodiment 3

[0081] See also Figure 7 Based on the above method, the present invention further provides a terminal, which includes a processor 10, a memory 20 and a display 30. However, it should be understood that it is not required to implement all the components shown, and more or fewer components may be implemented instead.

[0082] In some embodiments, the memory 20 may be an internal storage unit of the terminal, such as a hard disk or memory of the terminal. In other embodiments, the memory 20 may also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the terminal. Further, the memory 20 may also include both an internal storage unit of the terminal and an external storage device. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, a structural quasi-static deformation monitoring program 40 based on zoom imaging is stored on the memory 20, and the structural quasi-static deformation monitoring program 40 based on zoom imaging can be executed by the processor 10, thereby realizing the terminal in the present application.

[0083] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run the program code or process data stored in the memory 20, such as executing relevant programs of the structural quasi-static deformation monitoring method based on zoom imaging.

[0084] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light Emitting Diode) touch device, etc. The display 30 is used to display information on the terminal and to display a visual user interface.

[0085] In one embodiment, when the processor 10 executes the structure quasi-static deformation monitoring program 40 based on zoom imaging in the memory 20, the steps of the structure quasi-static deformation monitoring method based on zoom imaging as described above are implemented.

[0086] Embodiment 4

[0087] This embodiment provides a storage medium, which stores a structural quasi-static deformation monitoring program based on zoom imaging. When the structural quasi-static deformation monitoring program based on zoom imaging is executed by a processor, the steps of the structural quasi-static deformation monitoring method based on zoom imaging as described above are implemented.

[0088] In summary, the present invention records the parameters of the camera each time it shoots, corrects the changes caused by the parameters, sets known marker points, and corrects the unknown marker points based on the changes in the image shot by the known marker points on the zoom camera, thereby making high-precision real-time corrections to the camera angle and camera displacement changes caused by inconsistent focal length alignment of the zoom lens group and an unstable platform, thereby overcoming the problem that the measurement accuracy of the zoom camera monitoring system is affected by zoom repeatability and platform shaking.

[0089] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or terminal including the element.

[0090] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the program can be stored in a computer-readable storage medium, and the program can include the processes of the above-mentioned method embodiments when executed. The storage medium can be a memory, a disk, an optical disk, etc.

[0091] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A method for monitoring quasi-static deformation of a structure based on zoom imaging, characterized in that: The method for monitoring structural quasi-static deformation based on zoom imaging comprises: Acquire multiple marker point shooting images obtained by shooting the multiple marker points with a zoom camera, and record the camera shooting parameters when shooting each marker point, wherein the marker points include multiple unknown marker points located on the monitored structure and at least two known marker points; The known landmarks are located at two ends of the structure respectively; Obtaining initial images of each of the marker points, obtaining initial camera parameters corresponding to the multiple marker points, and obtaining pixel difference values ​​of each of the marker points according to the initial images of each of the marker points and the images taken by each of the marker points; Obtain the marker point displacement of each unknown marker point according to the pixel difference of the known marker point, the pixel difference of the unknown marker point, the initial camera parameters corresponding to the marker point, and the camera shooting parameters corresponding to the marker point, and output the monitoring result according to the displacement of each marker point; Obtaining the marker point displacement of each unknown marker point according to the pixel difference of the known marker point, the pixel difference of the unknown marker point, the initial camera parameter corresponding to the marker point, and the camera shooting parameter corresponding to the marker point specifically includes: According to the pixel difference of the known marker point, obtaining the camera displacement and angle change of the zoom camera; Calculating the marker point displacement of each of the unknown marker points according to the camera displacement, the angle change, the pixel difference of the unknown marker point, the camera initial parameters corresponding to the marker point, and the camera shooting parameters corresponding to the marker point; The calculating the marker point displacement of each unknown marker point according to the camera displacement, the angle change, the pixel difference of the unknown marker point, the camera initial parameters corresponding to the marker point and the camera shooting parameters corresponding to the marker point specifically includes: For each unknown marker point, correct the pixel difference according to the camera initial parameters and the camera shooting parameters to obtain a corrected pixel difference; Calculating the marker point displacement of each unknown marker point according to the camera displacement, the angle change and the corrected pixel difference of each unknown marker point; The camera shooting parameters include shooting focal length and shooting magnification; The initial camera parameters include an initial focal length; The step of correcting the pixel difference according to the initial camera parameters and the camera shooting parameters to obtain the corrected pixel difference specifically includes: Acquire a zoom correction item according to the shooting focal length and the initial focal length; Correct the pixel difference of the unknown marker point according to the zoom correction item and the shooting magnification to obtain the corrected pixel difference: ； in, Indicates the corrected pixel difference. Indicates the zoom correction item, Indicates the shooting magnification.

2. The method for monitoring quasi-static deformation of a structure based on zoom imaging according to claim 1, characterized in that: The step of obtaining the pixel difference value of each of the marker points according to the initial image of each of the marker points and the captured image of each of the marker points specifically includes: For each of the marker points, the initial image center pixel coordinates and the initial marker point pixel coordinates on the initial image of the corresponding marker point are obtained, and the initial pixel distance between the initial image center pixel coordinates and the initial marker point pixel coordinates is calculated; Obtaining the center pixel coordinates of the captured image and the pixel coordinates of the captured mark point on the captured image of the corresponding mark point, and calculating the captured pixel distance between the center pixel coordinates of the captured image and the pixel coordinates of the captured mark point; The pixel difference is calculated according to the photographed pixel distance and the initial pixel distance.

3. The method for monitoring quasi-static deformation of a structure based on zoom imaging according to claim 1, characterized in that: The marker point displacement includes horizontal displacement and vertical displacement; The monitoring results include the horizontal convergence and settlement of the monitored structure; Outputting the monitoring results according to the displacement of each of the marking points specifically includes: Outputting the horizontal convergence amount according to each of the horizontal displacements; The settlement amount is output according to each of the vertical displacements.

4. A quasi-static structural deformation monitoring system based on zoom imaging, characterized in that: The structure quasi-static deformation monitoring system based on zoom imaging includes: A zoom shooting module, used to obtain multiple marker point shooting images obtained by shooting multiple marker points with a zoom camera, and record the camera shooting parameters when shooting each marker point, wherein the marker points include multiple unknown marker points located on the monitored structure, and at least two known marker points; The known landmarks are located at two ends of the structure respectively; A difference calculation module is used to obtain initial images of each of the marker points, obtain initial camera parameters corresponding to the multiple marker points, and obtain pixel differences of each of the marker points based on the initial images of each of the marker points and the images taken by each of the marker points; A displacement calculation module, used to obtain the displacement of each unknown marker point according to the pixel difference of the known marker point, the pixel difference of the unknown marker point, the initial camera parameters corresponding to the marker point and the camera shooting parameters corresponding to the marker point, and output the monitoring result according to the displacement of each marker point; Obtaining the marker point displacement of each unknown marker point according to the pixel difference of the known marker point, the pixel difference of the unknown marker point, the initial camera parameter corresponding to the marker point, and the camera shooting parameter corresponding to the marker point specifically includes: According to the pixel difference of the known marker point, obtaining the camera displacement and angle change of the zoom camera; Calculating the marker point displacement of each of the unknown marker points according to the camera displacement, the angle change, the pixel difference of the unknown marker point, the camera initial parameters corresponding to the marker point, and the camera shooting parameters corresponding to the marker point; The calculating the marker point displacement of each unknown marker point according to the camera displacement, the angle change, the pixel difference of the unknown marker point, the camera initial parameters corresponding to the marker point and the camera shooting parameters corresponding to the marker point specifically includes: For each unknown marker point, correct the pixel difference according to the camera initial parameters and the camera shooting parameters to obtain a corrected pixel difference; Calculating the marker point displacement of each unknown marker point according to the camera displacement, the angle change and the corrected pixel difference of each unknown marker point; The camera shooting parameters include shooting focal length and shooting magnification; The initial camera parameters include an initial focal length; The step of correcting the pixel difference according to the initial camera parameters and the camera shooting parameters to obtain the corrected pixel difference specifically includes: Acquire a zoom correction item according to the shooting focal length and the initial focal length; Correct the pixel difference of the unknown marker point according to the zoom correction item and the shooting magnification to obtain the corrected pixel difference: ； in, Indicates the corrected pixel difference. Indicates the zoom correction item, Indicates the shooting magnification.

5. A terminal, characterized in that: The terminal includes: a memory, a processor, and a structural quasi-static deformation monitoring program based on zoom imaging stored in the memory and executable on the processor. When the structural quasi-static deformation monitoring program based on zoom imaging is executed by the processor, the terminal is controlled to implement the steps of the structural quasi-static deformation monitoring method based on zoom imaging as described in any one of claims 1 to 3.

6. A readable storage medium, characterized in that: The readable storage medium stores a structural quasi-static deformation monitoring program based on zoom imaging, and when the structural quasi-static deformation monitoring program based on zoom imaging is executed by a processor, the steps of the structural quasi-static deformation monitoring method based on zoom imaging as described in any one of claims 1 to 3 are implemented.

Images