CN117346759A - Bridge pier verticality measuring and calculating method and device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a bridge pier verticality measuring and calculating method, a bridge pier verticality measuring and calculating device, computer equipment and a storage medium. The method comprises the following steps: obtaining structural parameter information of each structural information of a bridge pier, and generating a pier structural model; collecting each three-dimensional measuring point of the cross-sectional images at the two ends of the pier column structure model; calculating the central point coordinate information of each two-end section image based on each three-dimensional measuring point of each two-end section image; generating bottom line information based on the center point coordinate information of each bottom cross-section image, respectively calculating a transverse deviation value between the center point coordinate information of each top cross-section image and the bottom line information, and calculating a longitudinal deviation value between the center point coordinate information of each top cross-section image and the center point coordinate information of each bottom cross-section image; and determining the target verticality of the bridge pier based on the transverse deviation values and the longitudinal deviation values. By adopting the method, the accuracy of the measured and calculated verticality of the bridge pier column can be improved.
Description
Technical Field
The application relates to the technical field of bridge measurement and calculation, in particular to a bridge pier column verticality measurement and calculation method, a bridge pier column verticality measurement and calculation device, computer equipment and a storage medium.
Background
Along with the continuous development of the measurement and calculation technology, the alignment accuracy measurement and calculation standard of the measurement and calculation process in the bridge construction process is higher and higher, and in the measurement and calculation process of the bridge construction process, the measurement and calculation of the verticality of the bridge pier is the key of the whole bridge measurement and calculation, so that the improvement of the measurement and calculation of the verticality of the bridge pier is the current research focus.
The traditional measuring and calculating mode of the verticality of the bridge pier is to manually measure the two-dimensional coordinates below the bridge pier and the two-dimensional coordinates above the bridge pier, so that the offset information between the upper coordinate and the lower coordinate is calculated, and the verticality of the bridge pier is obtained. However, the method is too ideal, because the bridge pier column is deviated in two directions of a transverse bridge direction and a longitudinal bridge direction, when the deviation of the transverse bridge direction exists, the upper point and the lower point can hardly be positioned on a straight line in the longitudinal bridge direction, and because the section of the bridge pier column is of an arc shape, when the upper point and the lower point are not positioned on the straight line in the longitudinal bridge direction, certain errors are caused by measured data, so that the accuracy of the measured bridge pier column is lower.
Disclosure of Invention
Based on the foregoing, it is necessary to provide a method, an apparatus, a computer device, a computer readable storage medium and a computer program product for measuring and calculating the verticality of a bridge pier.
In a first aspect, the application provides a method for measuring and calculating the verticality of a bridge pier. The method comprises the following steps:
obtaining structural parameter information of each structural information of a bridge pier, and generating a pier column structural model of the bridge pier based on each structural parameter information;
identifying two end section images of the pier column structure model, and respectively acquiring each three-dimensional measuring point of each two end section image through a section multipoint acquisition strategy;
for each two-end section image, generating a target measurement section of the two-end section image based on each three-dimensional measurement point of the two-end section image, and calculating the central point coordinate information of the two-end section image based on the target measurement section; the two-end section images comprise a top end section image and a bottom end section image;
screening the central point coordinate information of each bottom end section image to generate bottom end linear information, respectively calculating the transverse deviation value between the central point coordinate information of each top end section image and the bottom end linear information, and calculating the longitudinal deviation value of each pier column based on the central point coordinate information of each top end section image and the central point coordinate information of the bottom end section image corresponding to the top end section image;
And determining the target verticality of the bridge pier based on each transverse deviation value and each longitudinal deviation value.
Optionally, the generating the pier column structure model of the bridge pier column based on the structural parameter information includes:
identifying three-dimensional structure data of each structure information based on the structure parameter information of each structure information;
and performing image splicing processing on the three-dimensional structure data of each piece of structure information according to the connection mode of each piece of structure information to obtain the pier column structure model of the bridge pier column.
Optionally, the acquiring each three-dimensional measurement point of each two-end section image through the section multipoint acquisition strategy includes:
identifying image edge information of the two-end section images by an image edge identification algorithm aiming at each two-end section image, and acquiring a plurality of measuring points in the image edge information by a section multipoint acquisition strategy;
and identifying the three-dimensional coordinate information of each measuring point, and taking the three-dimensional coordinate information of each measuring point as the three-dimensional measuring point of the two-end section images.
Optionally, the generating the target measurement section of the two-end section image based on each three-dimensional measurement point of the two-end section image includes:
Calculating the radius length of the target section and the center coordinate information of the target section through a section radius algorithm based on the three-dimensional coordinate information of each three-dimensional measurement point;
and constructing target three-dimensional interface data based on the target section radius length and the target section circle center coordinate information, and determining a target measurement section based on the target three-dimensional section data.
Optionally, the calculating the lateral offset value between the central point coordinate information of each top end section image and the bottom end straight line information includes:
for each top cross-section image, projecting the central point coordinate information of the top cross-section image to a plane where the bottom linear information is located to obtain the mapping point coordinate information of the top cross-section image;
calculating the slope value of the bottom line information and the intercept value of the bottom line information, and adjusting an initial vertical distance algorithm based on the slope value and the intercept value to obtain a vertical distance algorithm;
and calculating the vertical distance from the coordinate information of the mapping point to the linear information of the bottom end through the vertical distance algorithm, and taking the vertical distance as a transverse deviation value between the coordinate information of the central point of the top end section image and the linear information of the bottom end.
Optionally, the calculating the longitudinal offset value of each pier column based on the central point coordinate information of each top end section image and the central point coordinate information of the bottom end section image corresponding to the top end section image includes:
establishing a corresponding relation between a top end section image of each pier column and a bottom end section image of each pier column, and calculating the transverse distance between the mapping center point coordinate information of the top end section image of each pier column and the center point coordinate information of the bottom end section image corresponding to the top end section image by a trigonometric function algorithm for each pier column;
and taking the transverse distance as a longitudinal deviation value of the bridge pier.
In a second aspect, the application also provides a device for measuring and calculating the verticality of a bridge pier. The device comprises:
the bridge pier structure model comprises an acquisition module, a calculation module and a calculation module, wherein the acquisition module is used for acquiring structural parameter information of each structural information of a bridge pier and generating a pier structure model of the bridge pier based on each structural parameter information;
the identification module is used for identifying the cross-sectional images at two ends of the pier stud structure model and respectively acquiring each three-dimensional measuring point of the cross-sectional images at each two ends through a cross-sectional multipoint acquisition strategy;
The first calculation module is used for generating a target measurement section of each two-end section image based on each three-dimensional measurement point of each two-end section image and calculating the central point coordinate information of each two-end section image based on the target measurement section; the two-end section images comprise a top end section image and a bottom end section image;
the second calculation module is used for screening the central point coordinate information of each bottom end section image, generating bottom end linear information, respectively calculating the transverse deviation value between the central point coordinate information of each top end section image and the bottom end linear information, and calculating the longitudinal deviation value of each pier column based on the central point coordinate information of each top end section image and the central point coordinate information of the bottom end section image corresponding to the top end section image;
and the determining module is used for determining the target verticality of the bridge pier based on the transverse deviation values and the longitudinal deviation values.
Optionally, the acquiring module is specifically configured to:
identifying three-dimensional structure data of each structure information based on the structure parameter information of each structure information;
And performing image splicing processing on the three-dimensional structure data of each piece of structure information according to the connection mode of each piece of structure information to obtain the pier column structure model of the bridge pier column.
Optionally, the identification module is specifically configured to:
identifying image edge information of the two-end section images by an image edge identification algorithm aiming at each two-end section image, and acquiring a plurality of measuring points in the image edge information by a section multipoint acquisition strategy;
and identifying the three-dimensional coordinate information of each measuring point, and taking the three-dimensional coordinate information of each measuring point as the three-dimensional measuring point of the two-end section images.
Optionally, the first computing module is specifically configured to:
calculating the radius length of the target section and the center coordinate information of the target section through a section radius algorithm based on the three-dimensional coordinate information of each three-dimensional measurement point;
and constructing target three-dimensional interface data based on the target section radius length and the target section circle center coordinate information, and determining a target measurement section based on the target three-dimensional section data.
Optionally, the second computing module is specifically configured to:
for each top cross-section image, projecting the central point coordinate information of the top cross-section image to a plane where the bottom linear information is located to obtain the mapping point coordinate information of the top cross-section image;
Calculating the slope value of the bottom line information and the intercept value of the bottom line information, and adjusting an initial vertical distance algorithm based on the slope value and the intercept value to obtain a vertical distance algorithm;
and calculating the vertical distance from the coordinate information of the mapping point to the linear information of the bottom end through the vertical distance algorithm, and taking the vertical distance as a transverse deviation value between the coordinate information of the central point of the top end section image and the linear information of the bottom end.
Optionally, the second computing module is specifically configured to:
establishing a corresponding relation between a top end section image of each pier column and a bottom end section image of each pier column, and calculating the transverse distance between the mapping center point coordinate information of the top end section image of each pier column and the center point coordinate information of the bottom end section image corresponding to the top end section image by a trigonometric function algorithm for each pier column;
and taking the transverse distance as a longitudinal deviation value of the bridge pier.
In a third aspect, the present application provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the steps of the method of any of the first aspects when the processor executes the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium. On which a computer program is stored which, when being executed by a processor, implements the steps of the method of any of the first aspects.
In a fifth aspect, the present application provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, implements the steps of the method of any of the first aspects.
According to the bridge pier verticality measuring and calculating method, device, computer equipment and storage medium, the structural parameter information of each structural information of the bridge pier is obtained, and a pier structure model of the bridge pier is generated based on each structural parameter information; identifying two end section images of the pier column structure model, and respectively acquiring each three-dimensional measuring point of each two end section image through a section multipoint acquisition strategy; for each two-end section image, generating a target measurement section of the two-end section image based on each three-dimensional measurement point of the two-end section image, and calculating the central point coordinate information of the two-end section image based on the target measurement section; the two-end section images comprise a top end section image and a bottom end section image; screening the central point coordinate information of each bottom end section image to generate bottom end linear information, respectively calculating the transverse deviation value between the central point coordinate information of each top end section image and the bottom end linear information, and calculating the longitudinal deviation value of each pier column based on the central point coordinate information of each top end section image and the central point coordinate information of the bottom end section image corresponding to the top end section image; and determining the target verticality of the bridge pier based on each transverse deviation value and each longitudinal deviation value. By acquiring the structural parameter information of each structural information of the bridge pier, the pier structure model of the bridge pier is constructed, so that the efficiency of calculating each deviation value of the bridge pier is improved, and the condition of measuring information deviation generated by manual measurement is avoided. Then, by acquiring a plurality of three-dimensional measurement points in each cross-sectional image, center point coordinate information of each of the two-end cross-sectional images is acquired. And then, through the central point coordinate information of each two-end interface image and through construction of the bottom end linear information, respectively calculating the transverse deviation value between the central point coordinate information of each top end section image and the bottom end linear information and the longitudinal deviation value of each pier column, thereby determining the target verticality of the bridge pier column, avoiding the verticality deviation condition generated by singly measuring the two-dimensional coordinates of the upper and lower two-end interface images, and further improving the precision of the calculated verticality of the bridge pier column.
Drawings
FIG. 1 is a flow chart of a method for measuring and calculating the verticality of a bridge pier according to an embodiment;
FIG. 2 is a schematic diagram of the three-dimensional measurement points of a single section in a pier stud structural model in one embodiment;
FIG. 3 is a schematic diagram of a bottom perspective view of a pier stud structural model in one embodiment;
FIG. 4 is a block diagram of a device for measuring and calculating the verticality of a bridge pier according to an embodiment;
fig. 5 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The bridge pier column verticality measuring and calculating method can be applied to application environments corresponding to measurement and calculation of collar pinching. The method can be applied to the terminal, the server and a system comprising the terminal and the server, and is realized through interaction of the terminal and the server. The terminal may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and the like. The terminal builds the pier column structure model of the bridge pier column by acquiring the structure parameter information of each structure information of the bridge pier column, so that the efficiency of calculating each deviation value of the bridge pier column is improved, and the condition of measuring information deviation generated by manual measurement is avoided. Then, by acquiring a plurality of three-dimensional measurement points in each cross-sectional image, center point coordinate information of each of the two-end cross-sectional images is acquired. And then, through the central point coordinate information of each two-end interface image and through construction of the bottom end linear information, respectively calculating the transverse deviation value between the central point coordinate information of each top end section image and the bottom end linear information and the longitudinal deviation value of each pier column, thereby determining the target verticality of the bridge pier column, avoiding the verticality deviation condition generated by singly measuring the two-dimensional coordinates of the upper and lower two-end interface images, and further improving the precision of the calculated verticality of the bridge pier column.
In one embodiment, as shown in fig. 1, a method for measuring and calculating the verticality of a bridge pier is provided, and the method is applied to a terminal for illustration, and includes the following steps:
step S101, obtaining structural parameter information of each structural information of the bridge pier, and generating a pier column structural model of the bridge pier based on the structural parameter information.
In this embodiment, the terminal acquires image information of multiple angles of the bridge pier through the image capturing device, and obtains structural parameter information of each structural information of every two bridge piers by identifying structural data of each structural information of the bridge pier in each image information. The structural parameter information includes, but is not limited to, the length of each structural information of the pier column, the section diameter of each structural information of the pier column, the relative position information among sections of each structural information of the pier column, and the like. And then, the terminal establishes the structural parameter information of each structural information in a coordinate system of a three-dimensional coordinate system of the earth, and adjusts and beats structural parameters of the bridge pier in a third coordinate system according to the structural parameter information of each structural information to obtain a pier column structural model of the bridge pier column. Wherein, this bridge pier column contains two piece at least vertical parallel pier columns.
Step S102, identifying cross-sectional images at two ends of the pier stud structure model, and respectively acquiring three-dimensional measurement points of the cross-sectional images at two ends through a cross-sectional multi-point acquisition strategy.
In this embodiment, the terminal identifies two end section images of the pier stud structure model, and acquires each three-dimensional measurement point of each two end section image through a section multipoint acquisition strategy. The three-dimensional measuring points are arranged at the image edge lines of the interface images at the two ends. As shown in fig. 2, points 1, 2, and 3 are three-dimensional measurement points of the a interface.
Step S103, generating a target measurement section of the two-end section images based on the three-dimensional measurement points of the two-end section images for each two-end section image, and calculating the center point coordinate information of the two-end section images based on the target measurement section; the two-end sectional images include a top end sectional image and a bottom end sectional image.
In this embodiment, the terminal generates a target measurement section of the two-end section images based on each three-dimensional measurement point of the two-end section images for each two-end section image, and calculates center point coordinate information of the two-end section images based on the target measurement section. Wherein the two end section images include a top end section image and a bottom end section image. The specific calculation process will be described in detail later.
Step S104, screening the central point coordinate information of each bottom end section image, generating bottom end straight line information, respectively calculating the transverse deviation value between the central point coordinate information of each top end section image and the bottom end straight line information, and calculating the longitudinal deviation value of each pier column based on the central point coordinate information of each top end section image and the central point coordinate information of the bottom end section image corresponding to the top end section image.
In this embodiment, the terminal screens the center point coordinate information of each bottom end section image, generates bottom end straight line information, calculates the lateral offset value between the center point coordinate information and the bottom end straight line information of each top end section image, and calculates the longitudinal offset value of each pier column based on the center point coordinate information of each top end section image and the center point coordinate information of the bottom end section image corresponding to the top end section image. Wherein, as shown in fig. 3, the lateral offset value is the vertical distance from the center point of the top cross-sectional image in the two-dimensional plane to the bottom straight line, for example, the length of B1E 1; the longitudinal offset value is the horizontal one-dimensional distance of the same pier column in a two-dimensional plane, for example, the length of A1E 1. The specific calculation process and calculation formula will be described in detail later. For example, the center point coordinate information of the bottom end section images is A respectively 1 （x a 、y a ）、C 1 （x c 、y c ) The formula corresponding to the bottom line information is: y=kx+b, where k is the slope of the line and b is the intercept of the line on the y-axis.
Step S105, determining the target verticality of the bridge pier based on each transverse deviation value and each longitudinal deviation value.
In this embodiment, the terminal uses each lateral deviation value and each longitudinal deviation value as the target verticality of the bridge pier.
Based on the scheme, the pier column structure model of the bridge pier column is constructed by acquiring the structure parameter information of each structure information of the bridge pier column, so that the efficiency of calculating each deviation value of the bridge pier column is improved, and the condition of measuring information deviation generated by manual measurement is avoided. Then, by acquiring a plurality of three-dimensional measurement points in each cross-sectional image, center point coordinate information of each of the two-end cross-sectional images is acquired. And then, through the central point coordinate information of each two-end interface image and through construction of the bottom end linear information, respectively calculating the transverse deviation value between the central point coordinate information of each top end section image and the bottom end linear information and the longitudinal deviation value of each pier column, thereby determining the target verticality of the bridge pier column, avoiding the verticality deviation condition generated by singly measuring the two-dimensional coordinates of the upper and lower two-end interface images, and further improving the precision of the calculated verticality of the bridge pier column.
Optionally, generating the pier column structure model of the bridge pier column based on the structural parameter information includes: identifying three-dimensional structure data of each structure information based on the structure parameter information of each structure information; and performing image splicing processing on the three-dimensional structure data of each structure information according to the connection mode of each structure information to obtain a pier column structure model of the bridge pier column.
In this embodiment, the terminal identifies three-dimensional structure data of each structure information based on the structure parameter information of each structure information. Wherein the three-dimensional structure data includes a three-dimensional position of each position point of the structure information. And then, the terminal performs image splicing processing on the three-dimensional structure data of each structure information according to the connection mode of each structure information to obtain a pier column structure model of the bridge pier column.
Based on the scheme, the pier column structure model of the strong beam pier column is constructed through the three-dimensional structure data of each structure information, and the accuracy of calculating the verticality of the strong beam pier column is improved.
Optionally, each three-dimensional measurement point of each two-end section image is acquired respectively through a section multipoint acquisition strategy, including: identifying image edge information of the cross-sectional images at the two ends by an image edge identification algorithm aiming at each cross-sectional image at the two ends, and acquiring a plurality of measuring points in the image edge information by a cross-sectional multi-point acquisition strategy; three-dimensional coordinate information of each measuring point is identified, and the three-dimensional coordinate information of each measuring point is used as a three-dimensional measuring point of the cross-sectional images at two ends.
In this embodiment, the terminal identifies image edge information of the cross-sectional images of both ends by an image edge identification algorithm for each cross-sectional image of both ends, and acquires a plurality of measurement points in the image edge information by a cross-sectional multipoint acquisition strategy. Then, the terminal recognizes three-dimensional coordinate information of each measurement point, and takes the three-dimensional coordinate information of each measurement point as a three-dimensional measurement point of the two-end section images. The image edge recognition algorithm may be, but is not limited to, an edge differentiation algorithm, an image edge segmentation algorithm, and the like. The cross section multipoint acquisition strategy is a strategy for randomly selecting three-dimensional coordinate information of three-dimensional edge position points at the image edges of a cross section image.
Based on the scheme, the three-dimensional coordinate information of the measuring points of the image edge information is screened to obtain the three-dimensional measuring points of the cross-section images at the two ends, so that the accuracy of calculating the coordinate positions of the central points of the circular interface images is improved.
Optionally, generating the target measurement section of the two-end section image based on each three-dimensional measurement point of the two-end section image includes: calculating the radius length of the target section and the center coordinate information of the target section through a section radius algorithm based on the three-dimensional coordinate information of each three-dimensional measurement point; and constructing target three-dimensional interface data based on the target section radius length and the target section circle center coordinate information, and determining a target measurement section based on the target three-dimensional section data.
In this embodiment, the terminal calculates the radius length of the target section and the center coordinate information of the target section by a section radius algorithm based on the three-dimensional coordinate information of each three-dimensional measurement point. Then, the terminal constructs target three-dimensional interface data based on the target section radius length and the target section circle center coordinate information, and determines a target measurement section based on the target three-dimensional section data.
Specifically, the standard formula of a circle is: (x-a) 2 +(y-b) 2 =r 2 Wherein a and b are center coordinates, r is the radius of the original, and it is assumed that d= -2a, e= -2b, f=a 2 +b 2 -r 2 Bringing into the standard formula of a circle, then it is variable to x 2 +y 2 +dx+ey+f=0 (this is a general formula). Taking the cross-sectional A circle as an example, 3 point coordinates (as shown in FIG. 3) were measured in the cross-section A, respectively set to 1# (x 1 ，y 1 ）、2#（x 2 ，y 2 ）、3#（x 3 ，y 3 ) After being substituted into a general formula, D, E, F values can be solved, and the radius r=can be obtainedCenter coordinates A 1 (-D/2, -E/2). The center A can be obtained by the same method 1 、B 1 、C 1 、D 1 Coordinates.
Based on the scheme, the radius length of the target section of the target measurement section and the center coordinate information of the target section are determined through the adjusted section radius algorithm, so that the accuracy of calculating the target measurement section is improved.
Optionally, calculating the lateral offset value between the center point coordinate information and the bottom line information of each top section image respectively includes: for each top cross-section image, projecting the central point coordinate information of the top cross-section image to a plane where the bottom linear information is located to obtain the mapping point coordinate information of the top cross-section image; calculating the slope value of the bottom line information and the intercept value of the bottom line information, and adjusting an initial vertical distance algorithm based on the slope value and the intercept value to obtain a vertical distance algorithm; and calculating the vertical distance between the coordinate information of the mapping point and the bottom linear information through a vertical distance algorithm, and taking the vertical distance as a transverse deviation value between the coordinate information of the central point of the top cross-section image and the bottom linear information.
In this embodiment, for each top section image, the terminal projects the coordinate information of the center point of the top section image to the plane where the bottom line information is located, to obtain the coordinate information of the mapping point of the top section image. Then, the terminal calculates the slope value of the bottom line information and the intercept value of the bottom line information, and adjusts an initial vertical distance algorithm based on the slope value and the intercept value to obtain a vertical distance algorithm. And then, the terminal calculates the vertical distance between the coordinate information of the mapping point and the bottom linear information through a vertical distance algorithm, and uses the vertical distance as a transverse deviation value between the coordinate information of the central point of the top section image and the bottom linear information.
Specifically, as shown in FIG. 3, the lateral offset value B 1 E 1 The calculating process of (1) is that the center coordinates B 1 （x b 、y b ) Straight line A 1 C 1 The analytical formula y=kx+b, so B 1 To straight line A 1 C 1 Is a vertical distance B of (2) 1 E 1 Is thatWhere k is the slope of the line and b is the intercept of the line on the y-axis.
Based on the scheme, the transverse deviation value is calculated through the vertical distance algorithm, so that the calculation accuracy of the deviation value is improved.
Optionally, calculating the longitudinal offset value of each pier column based on the center point coordinate information of each top end section image and the center point coordinate information of the bottom end section image corresponding to the top end section image includes: establishing a corresponding relation between a top end section image of each pier column and a bottom end section image of each pier column, and calculating the transverse distance between the mapping center point coordinate information of the top end section image of the bridge pier column and the center point coordinate information of the bottom end section image corresponding to the top end section image by a trigonometric function algorithm for each pier column; and taking the transverse distance as the longitudinal deviation value of the bridge pier.
In the embodiment, a terminal establishes a corresponding relation between a top end section image of each pier column and a bottom end section image of each pier column, and calculates the transverse distance between the mapping center point coordinate information of the top end section image of the pier column and the center point coordinate information of the bottom end section image corresponding to the top end section image by a trigonometric function algorithm for each pier column; and taking the transverse distance as the longitudinal deviation value of the bridge pier.
Based on the scheme, the longitudinal deviation value of the bridge pier is obtained by respectively calculating the transverse distance between the coordinate information of the central points of each pier, so that the accuracy of calculating the longitudinal deviation value is improved.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a bridge pier verticality measuring and calculating device for realizing the above-mentioned bridge pier verticality measuring and calculating method. The implementation scheme of the device for solving the problems is similar to that described in the above method, so the specific limitation in the embodiments of the device for measuring and calculating the verticality of the bridge pier provided below can be referred to the limitation of the method for measuring and calculating the verticality of the bridge pier hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 4, there is provided a bridge pier verticality measuring and calculating device, including: an acquisition module 410, an identification module 420, a first calculation module 430, a second calculation module 440, and a determination module 450, wherein:
the obtaining module 410 is configured to obtain structural parameter information of each structural information of a bridge pier, and generate a pier structure model of the bridge pier based on each structural parameter information;
the identifying module 420 is configured to identify two end section images of the pier stud structural model, and respectively collect each three-dimensional measurement point of each two end section image through a section multipoint collection strategy;
a first calculation module 430, configured to generate, for each of the two-end section images, a target measurement section of the two-end section image based on each three-dimensional measurement point of the two-end section image, and calculate center point coordinate information of the two-end section image based on the target measurement section; the two-end section images comprise a top end section image and a bottom end section image;
The second calculating module 440 is configured to screen the center point coordinate information of each bottom end section image, generate bottom end line information, calculate a lateral offset value between the center point coordinate information of each top end section image and the bottom end line information, and calculate a longitudinal offset value of each pier column based on the center point coordinate information of each top end section image and the center point coordinate information of the bottom end section image corresponding to the top end section image;
a determining module 450, configured to determine a target verticality of the bridge pier based on each of the lateral deviation values and each of the longitudinal deviation values.
Optionally, the acquiring module 410 is specifically configured to:
identifying three-dimensional structure data of each structure information based on the structure parameter information of each structure information;
and performing image splicing processing on the three-dimensional structure data of each piece of structure information according to the connection mode of each piece of structure information to obtain the pier column structure model of the bridge pier column.
Optionally, the identification module is specifically configured to:
identifying image edge information of the two-end section images by an image edge identification algorithm aiming at each two-end section image, and acquiring a plurality of measuring points in the image edge information by a section multipoint acquisition strategy;
And identifying the three-dimensional coordinate information of each measuring point, and taking the three-dimensional coordinate information of each measuring point as the three-dimensional measuring point of the two-end section images.
Optionally, the first calculating module 420 is specifically configured to:
calculating the radius length of the target section and the center coordinate information of the target section through a section radius algorithm based on the three-dimensional coordinate information of each three-dimensional measurement point;
and constructing target three-dimensional interface data based on the target section radius length and the target section circle center coordinate information, and determining a target measurement section based on the target three-dimensional section data.
Optionally, the second computing module 430 is specifically configured to:
for each top cross-section image, projecting the central point coordinate information of the top cross-section image to a plane where the bottom linear information is located to obtain the mapping point coordinate information of the top cross-section image;
calculating the slope value of the bottom line information and the intercept value of the bottom line information, and adjusting an initial vertical distance algorithm based on the slope value and the intercept value to obtain a vertical distance algorithm;
and calculating the vertical distance from the coordinate information of the mapping point to the linear information of the bottom end through the vertical distance algorithm, and taking the vertical distance as a transverse deviation value between the coordinate information of the central point of the top end section image and the linear information of the bottom end.
Optionally, the second computing module 430 is specifically configured to:
establishing a corresponding relation between a top end section image of each pier column and a bottom end section image of each pier column, and calculating the transverse distance between the mapping center point coordinate information of the top end section image of each pier column and the center point coordinate information of the bottom end section image corresponding to the top end section image by a trigonometric function algorithm for each pier column;
and taking the transverse distance as a longitudinal deviation value of the bridge pier.
All or part of each module in the bridge pier column verticality measuring and calculating device can be realized through software, hardware and a combination of the software and the hardware. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program when executed by the processor is used for realizing a method for measuring and calculating the verticality of the bridge pier. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 5 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method of any of the first aspects when the computer program is executed.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the method of any of the first aspects.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method of any of the first aspects.
It should be noted that, user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. The method for measuring and calculating the verticality of the bridge pier is characterized by comprising the following steps:
obtaining structural parameter information of each structural information of a bridge pier, and generating a pier column structural model of the bridge pier based on each structural parameter information;
identifying two end section images of the pier column structure model, and respectively acquiring each three-dimensional measuring point of each two end section image through a section multipoint acquisition strategy;
For each two-end section image, generating a target measurement section of the two-end section image based on each three-dimensional measurement point of the two-end section image, and calculating the central point coordinate information of the two-end section image based on the target measurement section; the two-end section images comprise a top end section image and a bottom end section image;
screening the central point coordinate information of each bottom end section image to generate bottom end linear information, respectively calculating the transverse deviation value between the central point coordinate information of each top end section image and the bottom end linear information, and calculating the longitudinal deviation value of each pier column based on the central point coordinate information of each top end section image and the central point coordinate information of the bottom end section image corresponding to the top end section image;
and determining the target verticality of the bridge pier based on each transverse deviation value and each longitudinal deviation value.
2. The method of claim 1, wherein generating the pier stud structural model of the bridge pier stud based on each of the structural parameter information comprises:
identifying three-dimensional structure data of each structure information based on the structure parameter information of each structure information;
And performing image splicing processing on the three-dimensional structure data of each piece of structure information according to the connection mode of each piece of structure information to obtain the pier column structure model of the bridge pier column.
3. The method according to claim 1, wherein the acquiring three-dimensional measurement points of each two-end cross-sectional image by a cross-sectional multi-point acquisition strategy comprises:
identifying image edge information of the two-end section images by an image edge identification algorithm aiming at each two-end section image, and acquiring a plurality of measuring points in the image edge information by a section multipoint acquisition strategy;
and identifying the three-dimensional coordinate information of each measuring point, and taking the three-dimensional coordinate information of each measuring point as the three-dimensional measuring point of the two-end section images.
4. The method of claim 1, wherein the generating a target measurement cross-section of the two-end cross-section image based on each three-dimensional measurement point of the two-end cross-section image comprises:
calculating the radius length of the target section and the center coordinate information of the target section through a section radius algorithm based on the three-dimensional coordinate information of each three-dimensional measurement point;
and constructing target three-dimensional interface data based on the target section radius length and the target section circle center coordinate information, and determining a target measurement section based on the target three-dimensional section data.
5. The method of claim 1, wherein the calculating of the lateral offset value between the center point coordinate information and the bottom line information of each top end section image, respectively, comprises:
for each top cross-section image, projecting the central point coordinate information of the top cross-section image to a plane where the bottom linear information is located to obtain the mapping point coordinate information of the top cross-section image;
calculating the slope value of the bottom line information and the intercept value of the bottom line information, and adjusting an initial vertical distance algorithm based on the slope value and the intercept value to obtain a vertical distance algorithm;
and calculating the vertical distance from the coordinate information of the mapping point to the linear information of the bottom end through the vertical distance algorithm, and taking the vertical distance as a transverse deviation value between the coordinate information of the central point of the top end section image and the linear information of the bottom end.
6. The method of claim 1, wherein calculating the longitudinal offset value for each pier based on the center point coordinate information of each top end cross-sectional image and the center point coordinate information of the bottom end cross-sectional image corresponding to the top end cross-sectional image comprises:
Establishing a corresponding relation between a top end section image of each pier column and a bottom end section image of each pier column, and calculating the transverse distance between the mapping center point coordinate information of the top end section image of each pier column and the center point coordinate information of the bottom end section image corresponding to the top end section image by a trigonometric function algorithm for each pier column;
and taking the transverse distance as a longitudinal deviation value of the bridge pier.
7. A bridge pier verticality measuring and calculating device, the device comprising:
the bridge pier structure model comprises an acquisition module, a calculation module and a calculation module, wherein the acquisition module is used for acquiring structural parameter information of each structural information of a bridge pier and generating a pier structure model of the bridge pier based on each structural parameter information;
the identification module is used for identifying the cross-sectional images at two ends of the pier stud structure model and respectively acquiring each three-dimensional measuring point of the cross-sectional images at each two ends through a cross-sectional multipoint acquisition strategy;
the first calculation module is used for generating a target measurement section of each two-end section image based on each three-dimensional measurement point of each two-end section image and calculating the central point coordinate information of each two-end section image based on the target measurement section; the two-end section images comprise a top end section image and a bottom end section image;
The second calculation module is used for screening the central point coordinate information of each bottom end section image, generating bottom end linear information, respectively calculating the transverse deviation value between the central point coordinate information of each top end section image and the bottom end linear information, and calculating the longitudinal deviation value of each pier column based on the central point coordinate information of each top end section image and the central point coordinate information of the bottom end section image corresponding to the top end section image;
and the determining module is used for determining the target verticality of the bridge pier based on the transverse deviation values and the longitudinal deviation values.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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