Real-time monitoring and evaluation method for load-bearing state in placing process of steel pipe concrete arch bridge

Abstract

To provide a real-time monitoring and evaluation method of a force bearing state in a placing process of a steel pipe concrete arch bridge applied to the technical field of a bridge construction.SOLUTION: The real-time monitoring and evaluation method includes: identifying an environmental background point in an RGB three dimensional matrix of the whole bridge by using a range between a maximum value and a minimum value of RGB in a local RGB three dimensional matrix of a steel pipe; describing an environmental background temperature point in a temperature information matrix and identifying a concrete placing point according to whether or not a unit matrix condition of a multiple of a dome steel pipe temperature is met; acquiring a horizontal axis of a pixel at the center of a placed liquid surface of right and left half arches in an orthogonal coordinate system; and dividing the whole arch rib to be placed into 2n equal parts, and calculating each cross-section displacement response of a structure by referring to the horizontal axis of the pixel at the center of the placed liquid surface of the right and left half arches from the cross-section displacement from the load action of each segment. Therefore, a liquid surface difference of concrete on both sides can be observed in real time, efficiently and accurately, so as to obtain the structural response in a placing state and reduce the construction risk of the arch bridge.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to the technical field of bridge construction, and more particularly to a method for real-time monitoring and evaluation of the load-bearing state of a steel-pipe concrete arch bridge during the construction process. [Background technology]

[0002] During the process of pouring concrete inside the pipes, the concrete is enclosed in steel pipes, making it impossible for people to directly observe the liquid level in real time with their eyes. Therefore, the steel pipes on both sides must be poured synchronously to avoid asymmetric deformation and increased construction risks caused by the load being applied to one side of the bridge. Furthermore, there are many different load situations due to the difference in liquid level, and it is not possible to perform brute force finite element calculations before pouring, making it impossible to accurately predict the response of the bridge structure during pouring.

[0003] In the prior art, the liquid level of the poured concrete is roughly predicted based on the pumping speed of the equipment and the cross-sectional area of ​​the steel pipe, and the builder then uses a hammer to hit the steel pipe nearby, determining the liquid level of the poured concrete based on experience. Predicting the response of the bridge structure during pouring is often simplified by assuming that the liquid levels on both sides of the arch are on the same horizontal plane during the pouring process, and that asymmetric loads due to differences in liquid levels do not occur. Therefore, it is not possible to select several loading conditions before pouring and calculate the structural response using finite elements for real-time prediction.

[0004] Therefore, how to realize a real-time monitoring and evaluation method for the force-bearing state during the pouring process of a steel-tube concrete arch bridge, which avoids the subjective factor of determining the liquid level of poured concrete based on artificial experience, takes into consideration the asymmetric load caused by the difference in liquid level during the pouring process, and can predict the response of the bridge structure during the pouring process in real time, is a problem that those skilled in the art must solve as soon as possible. Summary of the Invention [Problem to be solved by the invention]

[0005] In view of this, the present invention provides a method for real-time monitoring and evaluation of the force-bearing state during the casting process of a steel-pipe concrete arch bridge. [Means for solving the problem]

[0006] To achieve the above object, the present invention adopts the following technical solution.

[0007] A real-time monitoring and evaluation method for the load-bearing state of a steel-tube concrete arch bridge during the pouring process includes steps (1) of obtaining a visible light image of the entire bridge and an RGB three-dimensional matrix of a local visible light image of a steel pipe, respectively, and removing foreign object points in the local RGB three-dimensional matrix of the steel pipe based on a predetermined local RGB range of the steel pipe, and identifying environmental background points in the RGB three-dimensional matrix of the entire bridge according to a value range limited between the maximum and minimum RGB values ​​in the local RGB three-dimensional matrix of the steel pipe after the foreign object points have been removed; obtaining a temperature information matrix of an infrared image of the entire bridge, and expressing environmental background temperature points in the temperature information matrix based on the environmental background points; and identifying points where concrete has been poured according to whether the temperature difference after subtracting an identity matrix multiplied by the temperature of the dome steel pipe from the temperature information matrix after the environmental background temperature points have been expressed satisfies a predetermined range of temperature difference between the steel pipe concrete and the empty steel pipe, wherein The method includes step (2) in which the shooting position, shooting angle, and camera resolution of the visible light image of the bridge are all the same; step (3) in which the horizontal axis of the pixel at the center of the poured liquid surface of the left and right half arches is confirmed based on the minimum value point of the vertical axis of the left and right half arches at the point where the concrete was poured, the horizontal axis of the pixel at the center of the cross section of the left and right arch foot is confirmed based on the minimum value point of the horizontal axis and the maximum value point of the vertical axis of the left and right half arches at the point where the concrete was poured, and the horizontal axis of the pixel at the center of the poured liquid surface of the left and right half arches in the Cartesian coordinate system is obtained based on the horizontal axis of the pixel at the center of the poured liquid surface of the left and right half arches and the horizontal axis of the pixel at the center of the cross section of the left and right arch foot; and step (4) in which the entire arch rib to be poured is divided into 2n equal parts, and based on the displacement of each cross section due to the load of each segment, the horizontal axis of the pixel at the center of the poured liquid surface of the left and right half arches in the Cartesian coordinate system is referenced to

[0008] Optionally, in step (1), the RGB three-dimensional matrix of the visible light image of the whole bridge and the local visible light image of the steel pipe is as follows: The RGB three-dimensional matrix of the visible light image of the whole bridge is as follows:

number

number

[0009] Optionally, in step (1), the environmental background points in the RGB three-dimensional matrix of the whole bridge are as follows:

number

[0010] Optionally, in step (2), the matrix of temperature information of the infrared image of the whole bridge is as follows:

number

[0011] Optionally, in step (2), the environmental background temperature points in the temperature information matrix are represented based on the environmental background points, specifically, the environmental background temperature points are represented by predetermined temperatures in the temperature information matrix corresponding to the positions of the environmental background points in the RGB three-dimensional matrix of the entire bridge, so as not to affect the identification of the concrete poured points, as follows:

number

[0012] Optionally, in step (2), the temperature difference obtained by subtracting the identity matrix multiplied by the temperature of the dome steel pipe from the temperature information matrix after the environmental background temperature point is expressed is as follows:

number

[0013] Optionally, in step (3), determining the horizontal axes of the pixels at the centers of the poured liquid surfaces of the left and right half arches based on the minimum value points of the vertical axes of the left and right half arches at the points where the concrete is poured is as follows:

number

number

[0014] Optionally, in step (3), determining the horizontal axes of the pixels at the centers of the cross sections of the left and right arch feet based on the minimum value points of the horizontal axes and the maximum value points of the vertical axes of the left and right half arches at the concrete pouring points is as follows:

number

number

[0015] Optionally, in step (3), based on the horizontal axes of the pixels of the centers of the poured liquid surfaces of the left and right half arches and the horizontal axes of the pixels of the cross sections of the left and right arch feet, obtaining the horizontal axes of the pixels of the centers of the poured liquid surfaces of the left and right half arches in a Cartesian coordinate system is as follows:

number

[0016] Optionally, in step (4), based on the displacement of each cross section due to the load of each segment, refer to the horizontal axis of the pixel at the center of the poured liquid surface of the left and right half arches in the Cartesian coordinate system, and calculate the displacement response of each cross section of the structure, as follows: The displacement of each cross section due to the load of each segment is as follows:

number

number

[0017] As can be seen from the above technical solution, compared with the prior art, the present invention provides a real-time monitoring and evaluation method for the load-bearing state of a steel-pipe concrete arch bridge during the casting process. Based on the obvious difference between the anti-corrosion paint color of the steel-pipe arch bridge and the color of the environmental background, an RGB three-dimensional matrix of the visible light image is constructed to identify the environmental background points based on the RGB color. Based on the relatively large temperature difference between the cast area and the empty steel pipe area during casting, the environmental background points are identified based on the RGB color and marked on the infrared image, and the concrete poured point is identified. Based on the minimum value point of the vertical axis of the left and right half arches at the concrete poured point, the left and right half arches are marked. The horizontal axis of the pixel at the center of the poured liquid surface of the arch is determined, and the horizontal axis of the pixel at the cross section of the left and right arch feet is determined based on the minimum point of the horizontal axis and the maximum point of the vertical axis of the left and right half arches at the point where the concrete is poured. The horizontal axis of the pixel at the center of the poured liquid surface of the left and right half arches in the Cartesian coordinate system is obtained based on the horizontal axis of the pixel at the center of the poured liquid surface of the left and right half arches and the horizontal axis of the pixel at the cross section of the left and right arch feet, thereby obtaining the center of the poured liquid surface of the left and right half arches. Compared to traditional manual tapping methods, this method reduces construction risks due to inexperience of the contractor, significantly improves work efficiency and accuracy, and reduces construction costs. Based on the centers of the poured liquid levels in the left and right half arches, the weight of the concrete in the steel pipe to be poured is divided into equal distances by horizontal projection before pouring, and then applied to the structure independently. Based on the displacement of each cross section due to the load of each segment, the horizontal axis of the pixel at the center of the poured liquid levels in the left and right half arches in the Cartesian coordinate system is referenced to calculate the displacement response of each cross section of the structure. Compared to the conventional method of blindly simplifying the pouring process by loading symmetrically, this method allows the difference in concrete liquid levels on both sides to be observed in real time, allowing the structural response in the current pouring state to be obtained, reducing the construction risks of arch bridges. [Brief explanation of the drawings]

[0018] [Figure 1] 1 is a schematic diagram of the method flow of the present invention. [Figure 2]FIG. 2 is a schematic diagram of a fixed camera position of the present invention. [Figure 3] FIG. 2 is a schematic diagram of the positions of matrix elements in a pixel coordinate system according to the present invention. [Figure 4] FIG. 2 is a schematic diagram showing a local photograph of a steel pipe in the present invention. [Figure 5] FIG. 2 is a schematic diagram of a local visible light image of a steel pipe of the present invention. [Figure 6] Schematic diagram of the pouring liquid level of the left half arch rib of the present invention. [Figure 7] FIG. 2 is a schematic diagram of pixel points of the left arch foot of the present invention. [Figure 8] This is a schematic diagram of the conversion from the pixel coordinate system of the pouring liquid surface to the Cartesian coordinate system of the present invention. [Figure 9] FIG. 2 is a schematic diagram of a segment of an arch rib of the present invention. [Figure 10] 1 is a schematic diagram of deformation of a steel pipe due to a single action of a load in Example 1 of the present invention. FIG. [Figure 11] 1 is a schematic diagram of a main arch to which concrete of the present invention is poured. [Figure 12] FIG. 1 is a schematic diagram of a visible light image of the entire bridge of the present invention. [Figure 13] FIG. 1 is a schematic diagram of an infrared image of a whole bridge of the present invention. [Figure 14] FIG. 10 is a schematic diagram of deformation of a steel pipe due to a single action of a load in Example 2 of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0019] In order to more clearly explain the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are merely embodiments of the present invention, and those skilled in the art can also obtain other drawings based on the drawings provided without making any creative efforts. Hereinafter, the technical solutions in the embodiments of the present invention will be clearly and completely described with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments, and any other embodiments obtained by those skilled in the art based on the embodiments of the present invention without any creative effort will fall within the protection scope of the present invention. [Example]

[0020] The first embodiment of the present invention discloses a method for real-time monitoring and evaluation of the load-bearing state during the construction process of a steel-tube concrete arch bridge, which includes the following steps, as shown in FIG. 1 :

[0021] Step (1): Obtain the RGB three-dimensional matrices of the visible light image of the entire bridge and the local visible light image of the steel pipe, respectively, and remove foreign object points in the local RGB three-dimensional matrix of the steel pipe based on the pre-set local RGB range of the steel pipe. After the foreign object points have been removed, identify the environmental background points in the RGB three-dimensional matrix of the entire bridge based on the value range limited between the maximum and minimum RGB values ​​in the local RGB three-dimensional matrix of the steel pipe.

[0022] As shown in Figure 2, four fixed camera positions that meet the resolution and accuracy requirements are selected near the bridge, where camera positions 1 and 2 are used to observe side A of the bridge, and camera positions 3 and 4 are used to observe side B of the bridge. The principles for selecting the positions are as follows: the distance d× from the camera position to the adjacent arch foot in the longitudinal direction of the bridge is less than or equal to l / 10, where l is the bridge span; the distance dy× from the camera position to the adjacent arch foot in the transverse direction of the bridge is greater than or equal to l / 10; the angle α between the camera position and the connecting line between the two arch feet is greater than or equal to 30°; and there must be at least one fixed camera position on each side. A visible light camera with a resolution of 1280 x 1024 was attached to a fixed camera position, and the horizontal and elevation angles of the holder were adjusted to find the appropriate shooting angle so that the screen could cover the entire bridge. The horizontal angle β and elevation angle γ were recorded, and after completion, a visible light image of the entire bridge was captured and obtained. The visible light image of the entire bridge was then converted into an RGB three-dimensional matrix using the imread function in MATLAB.

[0023] As shown in Figure 4, a local area of ​​the steel pipe is photographed at close range using a visible light camera, and it is required that the image does not contain any inclusions other than the steel pipe. The visible light image of the local area of ​​the steel pipe is obtained as shown in Figure 5, and similarly, the visible light image of the local area of ​​the steel pipe is converted into an RGB three-dimensional matrix using the imread function in MATLAB.

[0024] The RGB three-dimensional matrices of the visible light image of the entire bridge and the local visible light image of the steel pipe are as follows: The RGB three-dimensional matrix of the visible light image of the whole bridge is as follows:

number

[0025] The RGB three-dimensional matrix of the local visible light image of the steel pipe is as follows:

number

[0026] The anti-corrosion paint on steel pipe concrete arch bridges is generally red, with an RGB range of U = (200-255, 0-50, 0-50). Therefore, the local RGB range of the pre-defined steel pipe is set to U, and foreign object points in the local RGB three-dimensional matrix of the steel pipe are removed by determining whether the element (r', g', b') in the R' matrix belongs to U.

[0027] The range of values ​​limited between the maximum and minimum values ​​of RGB in the local RGB three-dimensional matrix of the steel pipe after the foreign object points have been removed, i.e., (r´ min ~r´ max ,g´ min ~g´ max ,b´ min ~b´ max ,) to identify the environmental background points in the RGB three-dimensional matrix of the whole bridge is as follows:

number

[0028] Step (2): Obtain a temperature information matrix of the infrared image of the entire bridge, and represent the environmental background temperature in the temperature information matrix based on the environmental background points. Identify the points where concrete has been poured based on whether the temperature difference obtained by subtracting an identity matrix multiplied by the temperature of the dome steel pipe from the temperature information matrix after the environmental background temperature points have been represented satisfies the predetermined range of temperature differences between the concrete in the steel pipe and the empty steel pipe. Here, the infrared image of the entire bridge (taken by an infrared camera) and the visible light image of the entire bridge are all the same, with the same shooting position (fixed camera position), shooting angle (horizontal angle β and elevation angle γ), and camera resolution (1280 × 1024).

[0029] The matrix of temperature information of the infrared image of the whole bridge is obtained by the software attached to the infrared camera as follows:

number

[0030] The representation of the environmental background temperature points in the temperature information matrix based on the environmental background points is specifically represented by a preset temperature for the environmental background temperature points corresponding to the positions of the environmental background points in the RGB three-dimensional matrix of the entire bridge in the temperature information matrix, so as not to affect the identification of the points where concrete is poured, as follows:

number

[0031] The temperature difference obtained by subtracting the unit matrix multiplied by the temperature of the dome steel pipe from the matrix of temperature information after the environmental background temperature point is written is as follows:

number

[0032] The temperature difference between the concrete-filled steel pipe and the empty steel pipe is generally greater than 25°C, i.e., ΔT>25°C, and the corresponding pixel point is one point in the concrete-filled area. The number of such points varies depending on the resolution of the camera.

[0033] Step (3): Based on the minimum value points of the vertical axes of the left and right half arches at the point where the concrete was poured, the horizontal axes of the pixels at the centers of the poured liquid surfaces of the left and right half arches are determined; based on the minimum value points of the horizontal axes and the maximum value points of the vertical axes of the left and right half arches at the point where the concrete was poured, the horizontal axes of the pixels at the centers of the cross sections of the left and right arch feet are determined; and based on the horizontal axes of the pixels at the centers of the poured liquid surfaces of the left and right half arches and the horizontal axes of the pixels at the centers of the cross sections of the left and right arch feet, the horizontal axes of the pixels at the centers of the poured liquid surfaces of the left and right half arches in the Cartesian coordinate system are obtained.

[0034] Based on the minimum value points of the vertical axes of the left and right half arches at the point where the concrete is poured, the horizontal axes of the pixels at the center of the poured liquid surface of the left and right half arches are identified as follows:

number

number

[0035] Based on the minimum value point of the horizontal axis and the maximum value point of the vertical axis of the left and right half arches at the point where the concrete is poured, the horizontal axis of the pixel at the center of the cross section of the left and right arch feet is identified as follows:

number

number

[0036] According to the horizontal axes of the pixels of the center of the poured liquid surface of the left and right half arches and the horizontal axes of the pixels of the center of the cross section of the left and right arch feet, the horizontal axes of the pixels of the center of the poured liquid surface of the left and right half arches in the Cartesian coordinate system are obtained as follows: As shown in Figure 8, the center of the dome cross section is the origin O, the horizontal left direction is the x-axis, and the vertical downward direction is the y-axis, and the coordinate system of the whole bridge is created, and the following transformation from the pixel coordinate system of the pouring liquid surface to the Cartesian coordinate system is realized.

number

[0037] Step (4): When pouring concrete into the pipe, gravity will cause force-bearing responses such as internal force and displacement to occur in each cross section of the arch bridge. Taking displacement as an example, as shown in Figure 9, the entire arch rib to be poured is divided into 2n equal parts (n>0 and is an integer, the larger the n value, the higher the accuracy). Based on the displacement of each cross section due to the load of each segment shown in Figure 10, and by referring to the horizontal axis of the pixel at the center of the poured liquid surface of the left and right half arches in the Cartesian coordinate system, the displacement response of each cross section of the structure is calculated.

[0038] Based on the displacement of each section due to the load of each segment, and referring to the horizontal axis of the pixel at the center of the poured liquid surface of the left and right half arches in the Cartesian coordinate system, the displacement response of each section of the structure is calculated as follows: The displacement of each cross section due to the load of each segment is as follows: The loads on each segment from the left arch foot to the right arch foot are q1...q n and the cross section numbers are 0...2n, respectively, and a single q1...q n The displacement of each cross section due to the load of each segment is as follows:

number

[0039] As a result of the above, the force-bearing response of the structure during infrared photography can be obtained, and if infrared photography is taken at a fixed camera position at appropriate times during the concrete pouring process, the force-bearing state of the structure can be predicted and evaluated in real time. [Example]

[0040] Example 2 of the present invention discloses the use of the method for real-time monitoring and evaluation of the force-bearing state during the casting process of a steel-pipe concrete arch bridge described in Example 1 to real-time monitoring and evaluation of the force-bearing state during the casting process of an arch bridge shown in Figure 11.

[0041] Step (1): The bridge is l = 500 m, and in this embodiment of the present invention, the fixed camera position 1 is used as an example, and dx1 = 10 m<l / 10=50m、dy1=80m> We adopt l / 10=50m and α=74°<30°.

[0042] A visible light camera with a resolution of 1280 × 1024 is attached to fixed camera position 1, and the horizontal and elevation angles of the holder are adjusted to find the appropriate shooting angle. The horizontal angle β = 60° and the elevation angle γ = 35° are recorded. After this, the visible light image of the entire bridge can be captured as shown in Figure 12. The visible light image of the entire bridge is then converted into an RGB three-dimensional matrix using the imread function in MATLAB, as shown below:

number

number

[0043] The range of values ​​limited between the maximum and minimum values ​​of RGB in the local RGB three-dimensional matrix of the steel pipe after the foreign object points are removed, i.e., (r´ min =245~r´max =255,g´ min =0~g´ max =25,b´ min =0~b´ max =23,) to identify the environmental background points in the RGB three-dimensional matrix of the whole bridge is as follows:

number

[0044] Step (2): When the shooting position (fixed camera position), shooting angle (horizontal angle β and elevation angle γ) and camera resolution (1280 × 1024) of the visible light image of the entire bridge are all the same, the infrared camera is used to take an infrared image of the entire bridge (during the concrete pouring process) as shown in Figure 13, and the image is converted into a temperature information matrix, as follows:

number

number

[0045] The temperature difference obtained by subtracting the unit matrix (taking the minimum value of K1, 23.3°) multiplied by the temperature of the dome steel pipe from the temperature information matrix after the environmental background temperature point is written is identified based on the preset range of temperature difference between the steel pipe concrete and the empty steel pipe, and is as follows:

number

[0046] Step (3): Based on the minimum value points of the vertical axes of the left and right half arches at the point where the concrete is poured, determine the horizontal axes of the pixels at the center of the poured liquid surface of the left and right half arches, as follows:

number

number

number

[0047] Step (4): When n=4, the displacement of each cross section due to a single q1...q8 is shown in Figure 14 as follows:

number

number

[0048] As a result of the above, the force-bearing response of the structure during infrared photography can be obtained, and if infrared photography is taken at a fixed camera position at appropriate times during the concrete pouring process, the force-bearing state of the structure can be predicted and evaluated in real time.

[0049] An embodiment of the present invention discloses a method for real-time monitoring and evaluation of the load-bearing state during the casting process of a steel-tube concrete arch bridge. Based on the obvious difference between the anti-corrosion paint color of the steel-tube arch bridge and the color of the environmental background, an RGB three-dimensional matrix of the visible light image is constructed to identify the environmental background points based on the RGB color. Based on the relatively large temperature difference between the cast area and the empty steel pipe area during casting, the environmental background points are identified based on the RGB color and are represented on the infrared image. After that, the points where the concrete has been cast are identified, and based on the minimum value points of the vertical axes of the left and right half arches at the points where the concrete has been cast, the left and right half arches are identified. The horizontal axis of the pixel at the center of the poured liquid surface of the left and right half arches is determined, and the horizontal axis of the pixel at the center of the cross section of the left and right arch feet is determined based on the minimum point of the horizontal axis and the maximum point of the vertical axis of the left and right half arches at the point where the concrete was poured. Then, the horizontal axis of the pixel at the center of the poured liquid surface of the left and right half arches in the Cartesian coordinate system is obtained based on the horizontal axis of the pixel at the center of the poured liquid surface of the left and right half arches and the horizontal axis of the pixel at the center of the cross section of the left and right arch feet, and the center of the poured liquid surface of the left and right half arches is obtained. Compared to the conventional manual tapping method, this method reduces construction risks due to the contractor's inexperience, greatly improves work efficiency and accuracy, and reduces construction costs. Based on the centers of the poured liquid levels in the left and right half arches, the weight of the concrete in the steel pipe to be poured is divided into equal distances by horizontal projection before pouring, and then applied to the structure independently. Based on the displacement of each cross section due to the load of each segment, the horizontal axis of the pixel at the center of the poured liquid levels in the left and right half arches in the Cartesian coordinate system is referenced to calculate the displacement response of each cross section of the structure. Compared to the conventional method of blindly simplifying the pouring process by loading symmetrically, this method allows the difference in concrete liquid levels on both sides to be observed in real time, allowing the structural response in the current pouring state to be obtained, reducing the construction risks of arch bridges.

[0050] Each embodiment in this specification will be described in a progressive manner, focusing on the differences between each embodiment and other embodiments, and the same or similar parts between each embodiment may be referred to. The apparatuses disclosed in the embodiments are briefly described in correspondence with the methods disclosed in the embodiments, and the relevant content may be referred to the description of the methods. The above description of the disclosed embodiments enables those skilled in the art to realize or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. (1) obtaining an RGB three-dimensional matrix of a visible light image of the entire bridge and an RGB three-dimensional matrix of a local visible light image of a steel pipe, respectively, and removing foreign object points in the RGB three-dimensional matrix of the local steel pipe according to a preset RGB range of the local steel pipe; and identifying environmental background points in the RGB three-dimensional matrix of the entire bridge according to a value range limited between the maximum and minimum RGB values ​​in the RGB three-dimensional matrix of the local steel pipe after the foreign object points have been removed; Step (2) of obtaining a temperature information matrix of the infrared image of the entire bridge, and indicating environmental background temperature points in the temperature information matrix based on the environmental background points, and identifying points where concrete has been poured based on whether the temperature difference after subtracting an identity matrix multiplied by the temperature of the dome steel pipe from the temperature information matrix after the environmental background temperature points have been indicated satisfies a preset range of temperature difference between the concrete-filled steel pipe and the empty steel pipe, wherein the infrared image of the entire bridge and the visible light image of the entire bridge are photographed at the same position, at the same angle, and with the same camera resolution; Step (3) of determining the horizontal axes of the pixels at the centers of the poured liquid surfaces of the left and right half arches based on the minimum points of the vertical axes of the left and right half arches at the points where the concrete was poured, determining the horizontal axes of the pixels at the centers of the cross sections of the left and right arch feet based on the minimum points of the horizontal axes and the maximum points of the vertical axes of the left and right half arches at the points where the concrete was poured, and obtaining the horizontal axes of the pixels at the centers of the poured liquid surfaces of the left and right half arches in the Cartesian coordinate system based on the horizontal axes of the pixels at the centers of the poured liquid surfaces of the left and right half arches and the horizontal axes of the pixels at the centers of the cross sections of the left and right arch feet; (4) Dividing the entire arch rib to be cast into 2n equal parts, and calculating the displacement response of each cross section of the structure based on the displacement of each cross section due to the load of each segment, by referring to the horizontal axis of the pixel at the center of the cast liquid surface of the left and right half arches in the Cartesian coordinate system. A method for real-time monitoring and evaluation of the force-bearing state of a steel-pipe concrete arch bridge during the casting process.

2. In step (1), the RGB three-dimensional matrices of the visible light image of the entire bridge and the local visible light image of the steel pipe are as follows: The RGB three-dimensional matrix of the visible light image of the whole bridge is as follows: [Equation 1] where R is an RGB three-dimensional matrix of the visible light image of the entire bridge, r, g, and b are the RGB primary color values ​​in the RGB three-dimensional matrix of the visible light image of the entire bridge, and x × y is the resolution of the camera. The RGB three-dimensional matrix of the local visible light image of the steel pipe is as follows: [Equation 2] Here, R' is an RGB three-dimensional matrix of the local visible light image of the steel pipe, and r', g', and b' are the RGB primary color values ​​in the RGB three-dimensional matrix of the local visible light image of the steel pipe. A method for real-time monitoring and evaluation of the force-bearing state of a steel-pipe concrete arch bridge during the casting process as described in claim 1.

3. In step (1), the environmental background points in the RGB three-dimensional matrix of the whole bridge are as follows: [Equation 3] Here, R １ is the RGB three-dimensional matrix of the entire bridge after the environmental background points are identified, "..." is the environmental background point in the RGB three-dimensional matrix of the entire bridge, "1" is the surface point of the steel pipe in the RGB three-dimensional matrix of the entire bridge, and x x y is the resolution of the camera. A method for real-time monitoring and evaluation of the force-bearing state of a steel-pipe concrete arch bridge during the casting process as described in claim 1.

4. In step (2), the matrix of temperature information of the infrared image of the whole bridge is as follows: [Equation 4] where K is the matrix of temperature information of the infrared image of the whole bridge, T is the temperature, and x × y is the resolution of the camera. A method for real-time monitoring and evaluation of the force-bearing state of a steel-pipe concrete arch bridge during the casting process as described in claim 1.

5. In step (2), representing the environmental background temperature points in the matrix of the temperature information based on the environmental background points includes: In order to prevent the environmental background temperature points from affecting the identification of the above-mentioned concrete poured points, a preset temperature is expressed for the environmental background temperature points corresponding to the environmental background point positions in the RGB three-dimensional matrix of the entire bridge in the temperature information matrix, as follows: [Equation 5] Here, K １ is the temperature information matrix after expressing the preset temperature for the environmental background temperature point, "..." is the environmental background temperature point corresponding to the environmental background point position in the RGB three-dimensional matrix of the entire bridge, expressed as the preset temperature, T is the surface temperature of the steel pipe in the temperature information matrix, and x × y is the camera resolution. A method for real-time monitoring and evaluation of the force-bearing state of a steel-pipe concrete arch bridge during the casting process as described in claim 1.

6. In step (2), the temperature difference obtained by subtracting the unit matrix multiplied by the temperature of the dome steel pipe from the matrix of the temperature information after the environmental background temperature point is expressed is as follows: [Equation 6] Here, K ２ is a temperature difference matrix obtained by subtracting a unit matrix multiplied by the temperature of the dome steel pipe from the matrix of temperature information after the environmental background temperature is expressed, "..." is the temperature difference between the environmental background temperature point and the corresponding point in the unit matrix multiplied by the temperature of the dome steel pipe, ΔT is the temperature difference between the surface temperature of the steel pipe and the corresponding point in the unit matrix multiplied by the temperature of the dome steel pipe, and x × y is the resolution of the camera. A method for real-time monitoring and evaluation of the force-bearing state of a steel-pipe concrete arch bridge during the casting process as described in claim 1.

7. In step (3), based on the minimum value points of the vertical axes of the left and right half arches at the points where the concrete is poured, the horizontal axes of the pixels at the centers of the poured liquid surfaces of the left and right half arches are identified as follows: [Equation 7] Here, u 左中 is the horizontal axis of the pixel at the center of the poured liquid surface of the left half arch, m is the number of minimum value points on the vertical axis of the left half arch, and u ｉ is the horizontal axis of the minimum value point of the vertical axis of the i-th left half arch, [Equation 8] Here, u 右中 is the horizontal axis of the pixel at the center of the poured liquid surface of the right half arch, w is the quantity of the minimum value point of the vertical axis of the right half arch, and u ｉ ' is the horizontal axis of the minimum value point of the vertical axis of the i-th right half arch A method for real-time monitoring and evaluation of the force-bearing state of a steel-pipe concrete arch bridge during the casting process as described in claim 1.

8. In step (3), based on the minimum value point of the horizontal axis and the maximum value point of the vertical axis of the left and right half arches at the point where the concrete is poured, the horizontal axes of the pixels at the center of the cross sections of the left and right arch feet are identified as follows: [Equation 9] Here, u 左フット is the horizontal axis of the pixel at the center of the cross section of the left arch foot, and u 左フット１ is the horizontal axis of the minimum point of the horizontal axis of the left half arch, and u 左フット２ is the horizontal axis of the maximum point of the vertical axis of the left half arch, [Equation 10] Here, u 右フット is the horizontal axis of the pixel at the center of the cross section of the right arch foot, and u 右フット１ is the horizontal axis of the minimum value point of the horizontal axis of the right half arch, and u 右フット２ is the horizontal axis of the maximum point of the vertical axis of the right half arch A method for real-time monitoring and evaluation of the force-bearing state of a steel-pipe concrete arch bridge during the casting process as described in claim 1.

9. In step (3), based on the horizontal axes of the pixels at the centers of the poured liquid surfaces of the left and right half arches and the horizontal axes of the pixels at the centers of the cross sections of the left and right arch feet, the horizontal axes of the pixels at the centers of the poured liquid surfaces of the left and right half arches in the Cartesian coordinate system are obtained as follows: [0011] Here, x 左中 is the horizontal axis of the pixel at the center of the poured liquid surface of the left half arch in the Cartesian coordinate system, l is the bridge span, and u 右フット is the horizontal axis of the pixel at the center of the cross section of the right arch foot, and u 左フット is the horizontal axis of the pixel at the center of the cross section of the left arch foot, and u 左中 is the horizontal axis of the pixel at the center of the poured liquid surface of the left half arch, and x 右中 is the horizontal axis of the pixel at the center of the poured liquid surface of the right half arch in the Cartesian coordinate system, and u 右中 is the horizontal axis of the pixel at the center of the poured liquid surface of the right half arch A method for real-time monitoring and evaluation of the force-bearing state of a steel-pipe concrete arch bridge during the casting process as described in claim 1.

10. In step (4), based on the displacement of each cross section caused by the load of each segment, the horizontal axis of the pixel at the center of the poured liquid surface of the left and right half arches in the Cartesian coordinate system is referred to, and the displacement response of each cross section of the structure is calculated as follows: The displacement of each cross section due to the load of each segment is as follows: [0012] Here, △ ｉｊ is, q ｊ is the displacement of section i due to the load, [0013] n is 1 / 2 of the number of equal parts of the entire arch rib to be cast A method for real-time monitoring and evaluation of the force-bearing state of a steel-pipe concrete arch bridge during the casting process as described in claim 1.

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