A method, system, terminal and readable storage medium for monitoring structural deformation network 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 structural deformation networking based on zoom imaging, wherein the method comprises: obtaining multiple images of marker points captured by multiple zoom cameras, each zoom camera capturing at least one common marker group; obtaining the movement posture parameters of each zoom camera; obtaining the marker point displacement of each marker point, and outputting the monitoring result. The present invention solves the problem of limited measurement range of a single zoom camera by setting each zoom camera to have a field of view overlap with an adjacent zoom camera, capturing common marker points, and jointly calculating the camera displacement and angle change of all zoom cameras, thereby correcting the effects of inconsistent zoom lens group focal length alignment and station shaking on the measurement accuracy of the zoom camera, and realizing long-distance and high-precision structural deformation monitoring.

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 structural deformation networking based on zoom imaging. Background Art

[0002] With the large-scale development of infrastructure and industry, large structures such as bridges and tunnels have been widely used. Large structures such as tunnels are characterized by long distances, complex environments, and limited spaces. Vertical displacement and horizontal displacement are important indicators of structural deformation. High precision and long-distance coverage are the focus of monitoring. In order to ensure public safety and extend the service life of the structure, the existing technology uses cameras or camera and multi-sensor fusion methods to monitor large structures.

[0003] Among them, the camera and multi-sensor fusion method is to use the camera and other sensors such as lidar, total station, inertial measurement unit, etc. to work together to achieve high-precision long-distance measurement and monitoring. For example, the total station provides sub-millimeter high accuracy through angle measurement and distance measurement, which can meet the needs of long-distance monitoring points for precise positioning. However, this method requires manual measurement and has high skills requirements for operators, and is greatly affected by the environment, so it is not suitable for popular use.

[0004] To this end, most existing technologies only monitor large structures through cameras. Methods for monitoring large structures using cameras include fixed-focus camera systems and zoom camera systems. The fixed-focus camera system can obtain more accurate and realistic image data during measurement. It consists of multiple dual-head camera stations and can be directly installed on or inside 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] The zoom lens of a zoom camera system 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 at different scales. However, when multiple zoom cameras are networked, it is impossible for their placement to remain completely consistent. Considering the possibility of shaking at the measuring station where the zoom camera is placed, this inconsistency in posture may be further aggravated, resulting in the zoom camera's measurement accuracy failing to meet requirements and the inability to achieve ultra-long-distance high-precision measurement. Summary of the invention

[0006] The purpose of the present invention is to provide a structural deformation networking monitoring method, system, terminal and readable storage medium based on zoom imaging, aiming to solve the problem of insufficient ultra-long distance monitoring accuracy caused by posture and shaking of the monitoring system based on zoom camera in the prior art.

[0007] The technical solution adopted by the present invention to solve the technical problem is as follows:

[0008] The present invention provides a structural deformation networking monitoring method based on zoom imaging, and the structural deformation networking monitoring method based on zoom imaging includes:

[0009] Acquire multiple images of marker points captured by multiple zoom cameras, each zoom camera captures at least one common marker group, the common marker group includes multiple common marker points, and the common marker points are marker points captured by the multiple zoom cameras;

[0010] According to the captured images corresponding to the common markers, the moving posture parameters of the zoom cameras are obtained;

[0011] According to each of the moving posture parameters and each of the captured images, the marker point displacement of each of the marker points is obtained, and the monitoring result is output according to the marker point displacement of each of the marker points.

[0012] Furthermore, the acquiring of the movement posture parameters of each zoom camera according to the captured images corresponding to each of the common marker points specifically includes:

[0013] Acquire multiple initial images of common landmark points taken by each of the zoom cameras;

[0014] For each common mark point, a pixel difference value corresponding to the common mark point on each zoom camera is obtained according to each of the initial images and the captured images;

[0015] The moving posture parameters of each of the zoom cameras are calculated according to each of the pixel differences.

[0016] Further, the calculating the movement posture parameters of each zoom camera according to each pixel difference value specifically includes:

[0017] Calculating the camera displacement and angle change of each zoom camera according to each pixel difference value;

[0018] The camera displacement and angle change of each zoom camera are used as the moving posture parameters of each zoom camera.

[0019] Furthermore, acquiring the marker point displacement of each marker point according to each of the movement posture parameters and each of the captured images specifically includes:

[0020] Acquire a plurality of initial images of the marker points taken by each of the zoom cameras;

[0021] For each marker point, a pixel difference value corresponding to the marker point on each zoom camera is obtained according to each of the initial images and the captured images;

[0022] The marker point displacement is calculated according to the pixel difference and the movement posture parameter.

[0023] Furthermore, the step of calculating the movement posture parameters of each zoom camera according to each pixel difference value further includes:

[0024] Obtaining shooting camera parameters and initial camera parameters of each zoom camera shooting mark point;

[0025] The pixel differences of all the marker points are corrected according to the shooting camera parameters and the initial camera parameters.

[0026] Further, the shooting camera parameters include shooting focal length and shooting magnification, and the initial camera parameters include initial focal length;

[0027] The step of correcting the pixel differences of all the marker points according to the shooting camera parameters and the initial camera parameters specifically includes:

[0028] Acquire a zoom correction item according to the shooting focal length and the initial focal length;

[0029] The pixel differences of all the mark points are corrected according to the zoom correction item and the shooting magnification.

[0030] Furthermore, the displacement of the marker point includes horizontal displacement and vertical displacement, and the monitoring result includes horizontal convergence and settlement of the monitored structure;

[0031] Outputting the monitoring result according to the mark point displacement of each mark point specifically includes:

[0032] Outputting the horizontal convergence amount according to each of the horizontal displacements;

[0033] The settlement amount is output according to each of the vertical displacements.

[0034] In addition, to achieve the above-mentioned purpose, the present invention also provides a structural deformation network monitoring system based on zoom imaging, and the structural deformation network monitoring system based on zoom imaging includes:

[0035] An image acquisition module, used to acquire multiple images of marker points photographed by multiple zoom cameras, each zoom camera photographing at least one common marker group, the common marker group including multiple common marker points, and the common marker points are marker points photographed by multiple zoom cameras;

[0036] A parameter calculation module, used to obtain the movement posture parameters of each zoom camera according to the captured images corresponding to each of the common landmarks;

[0037] The displacement calculation module is used to obtain the marker point displacement of each marker point according to each of the moving posture parameters and each of the captured images, and output the monitoring result according to the marker point displacement of each of the marker points.

[0038] In addition, to achieve the above-mentioned purpose, the present invention also provides a terminal, which includes: a memory, a processor, and a structural deformation networking monitoring program based on zoom imaging stored in the memory and run on the processor. When the structural deformation networking monitoring program based on zoom imaging is executed by the processor, the terminal is controlled to implement the steps of the structural deformation networking monitoring method based on zoom imaging as described above.

[0039] In addition, to achieve the above-mentioned purpose, the present invention also provides a readable storage medium, which stores a structural deformation networking monitoring program based on zoom imaging. When the structural deformation networking monitoring program based on zoom imaging is executed by a processor, the steps of the structural deformation networking monitoring method based on zoom imaging as described above are implemented.

[0040] The present invention adopts the above technical solution to achieve the following effects:

[0041] The present invention sets a plurality of zoom cameras, and each zoom camera has an overlapping field of view with other adjacent zoom cameras. Therefore, each zoom camera has a common mark point with other adjacent cameras. Since the actual displacement of the same common mark point should be consistent, based on this, the camera displacement and angle change of all zoom cameras can be calculated jointly. Based on the camera displacement and angle change of each camera, the position and posture transmission of the zoom camera can be realized through the zoom camera networking, and the influence of inconsistent focal length alignment of the zoom lens group and the shaking of the measuring station on the measurement accuracy of the zoom camera can be corrected, thereby getting rid of the dependence on the stability of the measuring station and the repeatability of zooming, avoiding the decrease in the measurement accuracy of the zoom camera caused by the shaking of the measuring station and the problem of inconsistent focal length alignment when zooming to the same magnification multiple times. The problem of limited measurement range of a single zoom camera is solved, and long-distance and high-precision structural deformation monitoring is realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a flowchart of the steps of a structural deformation networking monitoring method based on zoom imaging in a preferred embodiment of the present invention;

[0043] Figure 2 It is a detailed flow chart of a structural deformation networking monitoring method based on zoom imaging in a preferred embodiment of the present invention;

[0044] Figure 3is a schematic diagram of shooting with a zoom camera in a preferred embodiment of the present invention;

[0045] Figure 4 This is a structural schematic diagram of a structural deformation network monitoring based on zoom imaging in a preferred embodiment of the present invention;

[0046] Figure 5 A schematic structural diagram of a preferred embodiment of the terminal of the present invention. DETAILED DESCRIPTION

[0047] 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.

[0048] Embodiment 1

[0049] See also Figure 1 and Figure 2 Embodiment 1 of the present application is a method for monitoring structural deformation networking based on zoom imaging, which comprises the steps of:

[0050] S1. Acquire multiple images of marker points captured by multiple zoom cameras, where each zoom camera captures at least one common marker group, and the common marker group includes multiple common marker points, which are marker points captured by multiple zoom cameras.

[0051] Please refer to Figure 3 As shown, the present invention is based on a zoom imaging displacement model, and multiple zoom cameras 1 are connected in series to form a network. The telephoto field of view 4 of the telephoto segment of the previous zoom camera 1 and the short-focus field of view 2 of the short-focus segment of the next zoom camera 1 have a common field of view to achieve posture transfer and ensure high-precision measurement. Specifically, in this embodiment, multiple zoom cameras 1 are used to shoot mark points 3 located on the monitored structure. There is at least one set of mark combinations between adjacent zoom cameras 1, wherein the mark combination is a figure composed of multiple marked points 3 on the same section of the monitored structure. The zoom camera 1 adjusts the field of view by zooming to shoot mark points 3 at different distances, thereby achieving high-resolution and clear imaging of mark points 3 at different distances.

[0052] In the scheme of the present invention, it is necessary to ensure that the fields of view of two adjacent zoom cameras 1 overlap, for example, there is a common field of view at the longest focal length of the previous zoom camera 1 and the shortest focal length of the next zoom camera 1, and the same group of mark points 3 can be observed. The mark points 3 of this group are the common mark points, and this mark combination is the common mark group.

[0053] The number of zoom cameras 1 and marker points 3 is determined according to the effective focal length of the zoom camera 1 and the overall distance of the monitored structure. Specifically, in this embodiment, a group of marker combinations is arranged every thirty to fifty meters, and each group of marker combinations includes marker points 3 at the top, bottom, left and right of the monitored structure. According to the effective focal length of the zoom camera, a measuring station is set every two hundred to three hundred meters of the monitored structure to capture images of the marker points. A zoom camera 1 is fixed on the measuring station, wherein the longest focal length of the previous zoom camera 1 and the shortest focal length of the next zoom camera 1 between adjacent zoom cameras 1 can clearly capture images of the marker points 3 arranged in the same group.

[0054] Then, at every set time interval, the zoom cameras 1 of all measuring stations are controlled to change the focal length to collect an image of all the mark points 3 within their own zoom range. When adjacent zoom cameras 1 collect images of the same mark point 3 in a common field of view, the time interval for collecting images should be ensured to be within five minutes to avoid a large displacement of the mark point 3 within the collection interval when two cameras collect images of the same mark point due to too long a time.

[0055] 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 be consistent with the focal length of 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.

[0056] Based on the above reasons, in this embodiment, when photographing each mark point 3, the shooting camera 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 in the initial state, so as to correct the error caused by the repeatability accuracy of the zoom camera 1. Specifically, in this embodiment, the recorded shooting camera parameters include the shooting magnification and the shooting focal length.

[0057] S2. Acquire the moving posture parameters of each of the zoom cameras according to the captured images corresponding to each of the common marker points.

[0058] Since the position of the marker point 3 is the same when the front and rear zoom cameras 1 shoot the same marker point 3, based on the multiple marker points 3 in the marker combination where the marker point 3 is located, the two zoom cameras 1 can jointly obtain the camera displacement and angle change of the zoom camera 1 caused by the vibration of the measuring station or other factors, and then according to the obtained camera displacement and angle change of the zoom camera 1, correct the pixel difference of the marker point 3 obtained from all the shooting patterns of the zoom camera 1, and then calculate the precise marker displacement of the marker point 3.

[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 is captured, the initial camera parameters of each mark point 3 when it is captured are also recorded. In step S2, in addition to obtaining the pixel difference of each mark point 3 based on the mark point initial image and the mark point captured image, the change parameters are also obtained based on the initial camera parameters and the captured camera parameters, so as to correct the deviation caused by the parameter change in subsequent steps.

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

[0061] Specifically, for the zoom camera 1, it is assumed that the optical center of the zoom camera 1 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:

[0062] ;

[0063] However, the above zoom imaging formula does not take into account the influence of the measuring station shaking and the repeatability accuracy of the zoom camera 1. In this embodiment, in the initial state, the zoom camera 1 takes the first The image of the landmark point 3 is obtained, and the initial image is 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 at the initial image is recorded as , Defined as the initial state of the first shot When the initial image of the marker point is obtained, 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 coordinates of the landmark point 3 are marked as , the initial center pixel coordinates on the initial image are marked as .

[0064] After that, the zoom camera 1 needs to zoom in and shoot different marker points 3 at different distances to obtain the captured images, and after a period of time, the camera shooting distance is re-controlled. The The image of the marker point 3 is taken. 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. Note that the zoom is at the initial focal length at this time. 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 pixel coordinates of the initial marker point 3 and the initial center pixel coordinates , and the pixel coordinates of marker point 3 after the change and the shooting center pixel coordinates , 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:

[0065] ;

[0066] The above equation can also be considered as and right Correction, that is, correction of pixel difference .

[0067] Next, consider the case where two zoom cameras 1 shoot the same landmark 3. Add superscripts to the parameters involving zoom camera 1 in the above formula, and it can be written as:

[0068] ;

[0069] in, Indicates Zoom camera 1 shoots The pixel difference of the landmark point 3, Indicates Zoom camera 1 shoots The zoom correction item of the marker point 3, No. Zoom camera 1 shoots The shooting magnification of the marker point 3, Indicates The camera displacement of the zoom camera 1, Indicates The zoom camera 1 and the The distance between the landmark points 3, Indicates The angle of the zoom camera 1 changes.

[0070] Then the two zoom cameras 1 shooting the same mark point 3 can be combined to obtain the camera displacement and angle change of the two zoom cameras 1. From the above formula, it can be seen that two formulas can be listed for the same mark point 3, then more than two mark points 3 can be used to obtain the parameters of the two zoom cameras 1, and a common mark group has multiple common mark points, so the parameters of the two zoom cameras 1 can be obtained.

[0071] S3. Acquire the marker point displacement of each marker point according to each of the moving posture parameters and each of the captured images, and output a monitoring result according to the marker point displacement of each of the marker points.

[0072] After obtaining the camera displacement and angle change of each zoom camera 1 , the above formula can be used to calculate the marker point displacement of each marker point 3 .

[0073] The displacement of the marker point includes horizontal displacement and vertical displacement. The vertical displacement of the marker point can reflect the settlement of the monitored structure, and the horizontal displacement of the marker point can reflect the horizontal convergence of the monitored structure, thereby realizing the monitoring of the vertical settlement and horizontal convergence of the structure.

[0074] The present invention sets a plurality of zoom cameras, and each zoom camera has an overlapping field of view with other adjacent zoom cameras. Therefore, each zoom camera has a common mark point with other adjacent cameras. Since the actual displacement of the same common mark point should be consistent, based on this, the camera displacement and angle change of all zoom cameras can be jointly calculated. Based on the camera displacement and angle change of each camera, the position and posture transmission of the zoom camera is realized through zoom camera networking, and the influence of the measuring station shaking on the zoom camera is corrected, thereby getting rid of the dependence on the stability of the measuring station and avoiding the reduction of the zoom camera measurement accuracy caused by the measuring station shaking.

[0075] Embodiment 2

[0076] See also Figure 4 Based on the above method, the present invention also provides a structural deformation networking monitoring system based on zoom imaging, and the structural deformation networking monitoring system based on zoom imaging includes:

[0077] An image acquisition module 51 is used to acquire multiple images of marker points captured by multiple zoom cameras, each zoom camera captures at least one common marker group, the common marker group includes multiple common marker points, and the common marker points are marker points captured by multiple zoom cameras;

[0078] A parameter calculation module 52, used for obtaining the movement posture parameters of each zoom camera according to the captured images corresponding to each of the common marker points;

[0079] The displacement calculation module 53 is used to obtain the marker point displacement of each marker point according to each of the moving posture parameters and each of the captured images, and output the monitoring result according to the marker point displacement of each of the marker points.

[0080] Furthermore, acquiring the moving posture parameters of each zoom camera according to the captured images corresponding to each of the common markers specifically includes:

[0081] Acquire multiple initial images of common landmark points taken by each of the zoom cameras;

[0082] For each common mark point, a pixel difference value corresponding to the common mark point on each zoom camera is obtained according to each of the initial images and the captured images;

[0083] The moving posture parameters of each of the zoom cameras are calculated according to each of the pixel differences.

[0084] Further, the calculating the movement posture parameters of each zoom camera according to each pixel difference value specifically includes:

[0085] Calculating the camera displacement and angle change of each zoom camera according to each pixel difference value;

[0086] The camera displacement and angle change of each zoom camera are used as the moving posture parameters of each zoom camera.

[0087] Furthermore, acquiring the marker point displacement of each marker point according to each of the movement posture parameters and each of the captured images specifically includes:

[0088] Acquire a plurality of initial images of the marker points taken by each of the zoom cameras;

[0089] For each marker point, a pixel difference value corresponding to the marker point on each zoom camera is obtained according to each of the initial images and the captured images;

[0090] The marker point displacement is calculated according to the pixel difference and the movement posture parameter.

[0091] Furthermore, the step of calculating the movement posture parameters of each zoom camera according to each pixel difference value further includes:

[0092] Obtaining shooting camera parameters and initial camera parameters of each zoom camera shooting mark point;

[0093] The pixel differences of all the marker points are corrected according to the shooting camera parameters and the initial camera parameters.

[0094] Further, the shooting camera parameters include shooting focal length and shooting magnification, and the initial camera parameters include initial focal length;

[0095] The step of correcting the pixel differences of all the marker points according to the shooting camera parameters and the initial camera parameters specifically includes:

[0096] Acquire a zoom correction item according to the shooting focal length and the initial focal length;

[0097] The pixel differences of all the mark points are corrected according to the zoom correction item and the shooting magnification.

[0098] Furthermore, the displacement of the marker point includes horizontal displacement and vertical displacement, and the monitoring result includes horizontal convergence and settlement of the monitored structure;

[0099] Outputting the monitoring result according to the mark point displacement of each mark point specifically includes:

[0100] Outputting the horizontal convergence amount according to each of the horizontal displacements;

[0101] The settlement amount is output according to each of the vertical displacements.

[0102] Embodiment 3

[0103] See also Figure 5 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.

[0104] 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 deformation networking monitoring program 40 based on zoom imaging is stored on the memory 20, and the structural deformation networking monitoring program 40 based on zoom imaging can be executed by the processor 10, thereby realizing the terminal in the present application.

[0105] 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 deformation networking monitoring method based on zoom imaging.

[0106] 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.

[0107] In one embodiment, when the processor 10 executes the zoom imaging-based structural deformation networking monitoring program 40 in the memory 20 , the steps of the zoom imaging-based structural deformation networking monitoring method as described above are implemented.

[0108] Embodiment 4

[0109] This embodiment provides a storage medium, which stores a structural deformation networking monitoring program based on zoom imaging. When the structural deformation networking monitoring program based on zoom imaging is executed by a processor, the steps of the structural deformation networking monitoring method based on zoom imaging as described above are implemented.

[0110] In summary, the present invention sets a plurality of zoom cameras, and each zoom camera has an overlapping field of view with other adjacent zoom cameras. Therefore, each zoom camera has a common mark point with other adjacent cameras. Since the actual displacement of the same common mark point should be consistent, based on this, the camera displacement and angle change of all zoom cameras can be calculated jointly. Based on the camera displacement and angle change of each camera, the position and posture transmission of the zoom camera can be realized through the zoom camera networking, and the influence of inconsistent focal length alignment of the zoom lens group and the shaking of the measuring station on the measurement accuracy of the zoom camera can be corrected, thereby getting rid of the dependence on the stability of the measuring station and the repeatability of zooming, avoiding the decrease in the measurement accuracy of the zoom camera caused by the shaking of the measuring station and the problem of inconsistent focal length alignment when zooming to the same magnification multiple times. The problem of limited measurement range of a single zoom camera is solved, and long-distance and high-precision structural deformation monitoring is realized.

[0111] 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.

[0112] 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.

[0113] 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 structural deformation network based on zoom imaging, characterized in that: The structural deformation networking monitoring method based on zoom imaging includes: Acquire multiple images of marker points captured by multiple zoom cameras, each zoom camera captures at least one common marker group, the common marker group includes multiple common marker points, and the common marker points are marker points captured by the multiple zoom cameras; Among the plurality of zoom cameras, the fields of view of adjacent zoom cameras overlap so as to photograph common marking points of the same common marking group; According to the captured images corresponding to the common markers, the moving posture parameters of the zoom cameras are obtained; According to each of the moving posture parameters and each of the captured images, a marker point displacement of each of the marker points is acquired, and a monitoring result is output according to the marker point displacement of each of the marker points; The step of obtaining the movement posture parameters of each zoom camera according to the captured images corresponding to each of the common marker points specifically includes: Acquire multiple initial images of common landmark points taken by each of the zoom cameras; For each common mark point, a pixel difference value corresponding to the common mark point on each zoom camera is obtained according to each of the initial images and the captured images; Calculate the movement posture parameters of each zoom camera according to each pixel difference; The step of calculating the movement posture parameters of each zoom camera according to each pixel difference value also includes: Obtaining shooting camera parameters and initial camera parameters of each zoom camera shooting mark point; Correcting the pixel differences of all the marker points according to the shooting camera parameters and the initial camera parameters; The shooting camera parameters include shooting focal length and shooting magnification, and the initial camera parameters include initial focal length; The step of correcting the pixel differences of all the marker points according to the shooting camera parameters and the initial camera parameters specifically includes: Acquire a zoom correction item according to the shooting focal length and the initial focal length; Correct the pixel differences of all the marker points according to the zoom correction item and the shooting magnification: ； in, Indicates The pixel difference of the landmark points, Indicates the corrected pixel difference. Indicates the zoom correction item, Indicates the shooting magnification; The mobile posture parameters include camera displacement and angle change; The step of calculating the movement posture parameters of each zoom camera according to each pixel difference value specifically includes: For each common landmark point, the calculation formula for the mobile pose parameters of each zoom camera is established according to the pixel differences corresponding to each zoom camera shooting the common landmark point: ； in, Indicates The displacement of the landmark points, Indicates Zoom camera shot The pixel difference of the landmark points, Indicates Zoom camera shot Zoom correction items for marker points, Indicates Zoom camera shot The magnification of the shooting of the landmark points, Indicates The camera displacement of a zoom camera, Indicates A zoom camera and The distance between the landmarks, Indicates The angle change of a zoom camera; Two adjacent zoom cameras that shoot multiple common marker points of the same common marker point group use a joint calculation formula for moving posture parameters to obtain the camera displacement and angle change of the two adjacent zoom cameras.

2. The method for monitoring structural deformation network based on zoom imaging according to claim 1, characterized in that: The acquiring the marker point displacement of each marker point according to each of the movement posture parameters and each of the captured images specifically includes: Acquire a plurality of initial images of the marker points taken by each of the zoom cameras; For each marker point, a pixel difference value corresponding to the marker point on each zoom camera is obtained according to each of the initial images and the captured images; The marker point displacement is calculated according to the pixel difference and the movement posture parameter.

3. The method for monitoring structural deformation network based on zoom imaging according to claim 1, characterized in that: The displacement of the marker point includes horizontal displacement and vertical displacement, and the monitoring result includes horizontal convergence and settlement of the monitored structure; Outputting the monitoring result according to the mark point displacement of each mark point 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 structural deformation network monitoring system based on zoom imaging, characterized in that: The structural deformation networking monitoring system based on zoom imaging includes: An image acquisition module, used to acquire multiple images of marker points photographed by multiple zoom cameras, each zoom camera photographing at least one common marker group, the common marker group including multiple common marker points, and the common marker points are marker points photographed by multiple zoom cameras; In the zoom cameras, the fields of view of adjacent zoom cameras overlap to capture common marking points of the same common marking group; A parameter calculation module, used to obtain the movement posture parameters of each zoom camera according to the captured images corresponding to each of the common landmarks; A displacement calculation module, used for obtaining the mark point displacement of each of the mark points according to each of the movement posture parameters and each of the captured images, and outputting the monitoring result according to the mark point displacement of each of the mark points; The step of obtaining the movement posture parameters of each zoom camera according to the captured images corresponding to each of the common marker points specifically includes: Acquire multiple initial images of common landmark points taken by each of the zoom cameras; For each common mark point, a pixel difference value corresponding to the common mark point on each zoom camera is obtained according to each of the initial images and the captured images; Calculate the movement posture parameters of each zoom camera according to each pixel difference; The step of calculating the movement posture parameters of each zoom camera according to each pixel difference value also includes: Obtaining shooting camera parameters and initial camera parameters of each zoom camera shooting mark point; Correcting the pixel differences of all the marker points according to the shooting camera parameters and the initial camera parameters; The shooting camera parameters include shooting focal length and shooting magnification, and the initial camera parameters include initial focal length; The step of correcting the pixel differences of all the marker points according to the shooting camera parameters and the initial camera parameters specifically includes: Acquire a zoom correction item according to the shooting focal length and the initial focal length; Correct the pixel differences of all the marker points according to the zoom correction item and the shooting magnification: ； in, Indicates The pixel difference of the landmark points, Indicates the corrected pixel difference. Indicates the zoom correction item, Indicates the shooting magnification; The mobile posture parameters include camera displacement and angle change; The step of calculating the movement posture parameters of each zoom camera according to each pixel difference value specifically includes: For each common landmark point, the calculation formula for the mobile pose parameters of each zoom camera is established according to the pixel differences corresponding to each zoom camera shooting the common landmark point: ； in, Indicates The displacement of the landmark points, Indicates Zoom camera shot The pixel difference of the landmark points, Indicates Zoom camera shot Zoom correction items for marker points, Indicates Zoom camera shot The magnification of the shooting of the landmark points, Indicates The camera displacement of a zoom camera, Indicates A zoom camera and The distance between the landmarks, Indicates The angle change of a zoom camera; Two adjacent zoom cameras that shoot multiple common marker points of the same common marker point group use a joint calculation formula for moving posture parameters to obtain the camera displacement and angle change of the two adjacent zoom cameras.

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

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