A bridge support angle monitoring device and method based on machine vision and target

Abstract

The present application relates to the technical field of bridge detection, and in particular to a bridge support angle monitoring device and method based on machine vision and targets. The bridge support angle monitoring device provided by the present application, which is based on machine vision and targets, comprises: a plurality of targets, which are set on the bridge support; a camera, which acquires the image data of the target in real time; a communication terminal, which is connected to the camera and is used to receive the image data of the target and transmit it; and a server, which calculates the angle of the bridge support based on the image data of the target. The monitoring device provided by the present application sets a target on the bridge support, obtains the position coordinates of the target by real-time acquisition of the target's image data, and then calculates the angles of the upper and lower support plates of the bridge support, thereby obtaining the real-time angle of the bridge support, and realizing real-time monitoring of the support angle.

Description

Technical Field

[0001] This application relates to the field of bridge inspection technology, and in particular to a bridge bearing rotation monitoring device and method based on machine vision and target. Background Art

[0002] During bridge operation, under external loads, the bridge beam will undergo a certain degree of displacement, and the bearings will correspondingly exhibit rotation. When the bridge tilts significantly due to vehicle overloading, extreme weather, or other factors, the excessive rotation and displacement of the spherical bearings can lead to bridge overturning. If the bridge displacement can be detected before it overturns, even if the tilt or sideslip reaches a dangerous level, significant personal injury and property damage can be effectively prevented. Therefore, it is necessary to monitor the bearing rotation. Currently, bridge inspection primarily focuses on bearing displacement, with limited technology for monitoring bearing rotation. Based on this analysis, developing a device capable of real-time monitoring of bearing rotation is essential. Summary of the Invention

[0003] This application provides a bridge bearing rotation angle monitoring device based on machine vision and a target, which can monitor the rotation angle of the bearing.

[0004] In a first aspect, this application provides a bridge bearing rotation angle monitoring device based on machine vision and a target, comprising:

[0005] Multiple targets are set on the bridge supports;

[0006] A camera that acquires image data of the target in real time;

[0007] A communication terminal, which is connected to a camera, is used to receive and transmit image data of the target.

[0008] The server calculates the rotation angle of the bridge support based on the image data of the target.

[0009] In some embodiments, the server includes an image recognition unit and a calculation unit. The image recognition unit identifies the position coordinates of the target based on the image data of the target, and the calculation unit calculates the rotation angle of the bridge support based on the position coordinates of the target.

[0010] In some embodiments, the number of targets is four, with two targets forming a group. One group of targets is set on the upper support plate of the bridge bearing, and the other group of targets is set on the lower support plate of the bridge bearing.

[0011] In some embodiments, the process by which the calculation unit calculates the rotation angle of the bridge bearing based on the target's position coordinates is as follows:

[0012] The rotation angle of the upper support plate is calculated based on the real-time position coordinates of the target on the upper support plate.

[0013] The rotation angle of the lower support plate is calculated based on the real-time position coordinates of the target on the lower support plate.

[0014] The relative rotation angles of the upper and lower support plates are calculated based on the rotation angles of the upper and lower support plates.

[0015] In some embodiments, the target's position coordinates are two-dimensional coordinates.

[0016] Secondly, this application also provides a method for monitoring the rotation angle of bridge bearings based on machine vision and a target, including the following steps:

[0017] Multiple targets were set on the bridge bearings;

[0018] Use a camera to acquire real-time image data of the target;

[0019] Receive and transmit target image data using a communication terminal;

[0020] The rotation angle of the bridge support is calculated using the server based on the image data of the target.

[0021] In some embodiments, the server includes an image recognition unit and a calculation unit. The image recognition unit identifies the position coordinates of the target based on the image data of the target, and the calculation unit calculates the rotation angle of the bridge support based on the position coordinates of the target.

[0022] In some embodiments, the number of targets is four, with two targets forming a group. One group of targets is set on the upper support plate of the bridge bearing, and the other group of targets is set on the lower support plate of the bridge bearing.

[0023] In some embodiments, the process by which the calculation unit calculates the rotation angle of the bridge bearing based on the target's position coordinates is as follows:

[0024] The rotation angle of the upper support plate is calculated based on the real-time position coordinates of the target on the upper support plate.

[0025] The rotation angle of the lower support plate is calculated based on the real-time position coordinates of the target on the lower support plate.

[0026] The relative rotation angles of the upper and lower support plates are calculated based on the rotation angles of the upper and lower support plates.

[0027] In some embodiments, the target's position coordinates are two-dimensional coordinates.

[0028] The beneficial effects of the technical solution provided in this application include: the monitoring device provided in this application sets a target on the bridge bearing, obtains the position coordinates of the target by collecting image data of the target in real time, and then calculates the rotation angle of the upper and lower bearing plates of the bridge bearing, thereby obtaining the real-time rotation angle of the bridge bearing and realizing real-time monitoring of the bearing rotation angle; the monitoring method provided in this application is simple in process, highly accurate, and can analyze the bearing rotation angle in real time. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is an overall schematic diagram of the bridge bearing rotation angle monitoring device based on machine vision and target, as described in this application.

[0031] Figure 2 This is a structural diagram of the bridge bearing in this application;

[0032] Figure 3 This is a schematic diagram of the target shape in this application;

[0033] Figure 4 This is a partial schematic diagram of the target installation location in this application.

[0034] In the diagram: 100, target; 200, camera; 300, communication terminal; 400, server; 4001, image recognition unit; 4002, computing unit; 500, bridge bearing; 5001, upper bearing plate; 5002, lower bearing plate. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0036] This application provides a bridge bearing rotation angle monitoring device based on machine vision and a target, which can monitor the rotation angle of the bearing.

[0037] Figure 1 This is a schematic diagram of the bridge bearing rotation angle monitoring device based on machine vision and target, as described in this application. Figure 1and Figure 2 The monitoring device includes multiple targets 100, cameras 200, communication terminals 300, and servers 400.

[0038] refer to Figure 3 and Figure 4 In this embodiment, there are four targets 100, with each pair of targets 100 forming a group. One group of targets 100A1 and A2 is fixed to the upper support plate 5001 of the bridge bearing 500 by welding or bolting, while the other group of targets 100B1 and B2 is fixed to the lower support plate 5002 of the bridge bearing 500 by welding or bolting. Figure 3 Target 100 is a metal plate with a specific shape.

[0039] Camera 200 is positioned on top of the bridge pier to collect video image data of each target 100 in real time and send the image data to communication terminal 300.

[0040] The communication terminal 300 is connected to the camera 200, receives image data from the target 100 and sends the image data to the server 400. The communication terminal 300 can convert the video image data captured by the camera 200 into IP data and then transmit it through the wireless communication network.

[0041] Server 400 is a computer workstation with high-speed computing capabilities. Server 400 includes an image recognition unit 4001 and a computing unit 4002. The receiving end of the image recognition unit 4001 is signal-connected to the output end of the communication terminal 300. The image recognition unit 4001 is used to receive image data of the target 100 and identify the position coordinates of the target 100 based on the image data of the target 100. The computing unit 4002 calculates the rotation angle of the bridge support 500 based on the position coordinates of the target 100. In this embodiment, the computing unit 4002 can set the analysis interval according to actual needs to analyze and process the image information and output the support rotation angle data.

[0042] In this embodiment, the specific process by which the calculation unit 4002 calculates the rotation angle of the bridge support 500 based on the position coordinates of the target 100 is as follows:

[0043] (1) Establish a spatial rectangular coordinate system with the longitudinal direction of the bridge as the X-axis and the vertical direction as the Y-axis. Assume the initial coordinates of target 100A1 are (X... 上0 Y 上0 The initial coordinates of target 100A2 are (x...). 上0 ,y 上0 The initial coordinates of target 100B1 are (X... 下0 Y 下0 The initial coordinates of target 100B2 are (x...). 下0 ,y下0 At a certain time point t1, the real-time position coordinates of target 100A1 are (X... 上1 Y 上1 The real-time position coordinates of target 100A2 are (x... 上1 ,y 上1 The real-time position coordinates of target 100B1 are (X... 下1 Y 下1 The real-time position coordinates of target 100B2 are (x... 下1 ,y 下1 );

[0044] (2) Calculate the rotation angle of the upper support plate 5001 and the lower support plate 5002 at time point t1 based on the initial coordinates and real-time position coordinates of each target 100. The rotation angle Δα of the upper support plate 5001 on the XOY plane is also calculated. 上XOY The calculation formula is:

[0045]

[0046] The rotation angle Δα of the lower support plate 5002 in the XOY plane 下XOY The calculation formula is

[0047]

[0048] (3) The relative rotation angle of the upper and lower support plates on the XOY plane at time point t1 is calculated based on the rotation angles of the upper support plate 5001 and the lower support plate 5002. The calculation formula is Δα. XOY =Δα 上XOY -Δα 下XOY .

[0049] When the target 100 of this application is set at the beam end of a bridge, the rotation angle of the beam end can be monitored in real time using the monitoring device and monitoring method of this application, which will not be elaborated here.

[0050] This application also provides a method for monitoring the rotation angle of bridge bearings based on machine vision and a target, including the following steps:

[0051] Step S101: Set multiple targets 100 on the bridge support 500;

[0052] Step S102: Use camera 200 to acquire image data of target 100 in real time;

[0053] Step S103: Receive and transmit image data of target 100 using communication terminal 300;

[0054] Step S104: The server 400 calculates the rotation angle of the bridge support 500 based on the image data of the target 100.

[0055] When the bridge bearing 500 is installed on the bridge, as the bridge moves, the upper bearing plate 5001 of the bridge bearing 500 will move relative to the lower bearing plate 5002. When the bridge tilts, the upper bearing plate 5001 will have a rotation angle relative to the lower bearing plate 5002. The targets 100 on the upper bearing plate 5001 and the lower bearing plate 5002 will move with the movement of the upper and lower bearing plates. By analyzing the real-time coordinate information of the four targets 100 on the upper bearing plate 5001 and the lower bearing plate 5002, the real-time tilt angles of the upper bearing plate 5001 and the lower bearing plate 5002 can be obtained respectively.

[0056] In the description of this application, it should be noted that the terms "upper," "lower," etc., indicating the orientation or positional relationship are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. Unless otherwise expressly specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication between two elements. For those skilled in the art, the specific meaning of the above terms in this application can be understood according to the specific circumstances.

[0057] It should be noted that in this application, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0058] The above description is merely a specific embodiment of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily 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 this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A bridge bearing rotation angle monitoring device based on machine vision and a target, characterized in that, include: Multiple targets (100) are provided on the bridge bearings (500); A camera (200) is used to acquire image data of a target (100) in real time; the camera (200) is mounted on the top of a bridge pier. A communication terminal (300) is connected to a camera (200) and is used to receive and transmit image data of the target (100); Server (400), the server (400) calculates the rotation angle of the bridge bearing (500) based on the image data of the target (100); The server (400) includes an image recognition unit (4001) and a calculation unit (4002). The image recognition unit (4001) identifies the position coordinates of the target (100) based on the image data of the target (100). The calculation unit (4002) calculates the rotation angle of the bridge support (500) based on the position coordinates of the target (100). The number of targets (100) is four, and each pair of targets (100) forms a group. One group of targets (100A1, 100A2) is set on the upper support plate (5001) of the bridge bearing (500), and the other group of targets (100B1, 100B2) is set on the lower support plate (5002) of the bridge bearing (500). The specific process by which the calculation unit (4002) calculates the rotation angle of the bridge bearing (500) based on the position coordinates of the target (100) is as follows: Establish a spatial rectangular coordinate system with the longitudinal direction of the bridge as the X-axis and the vertical direction as the Y-axis. Assume the initial coordinates of the target (100A1) are (X... 上0 Y 上0 The initial coordinates of the target (100B1) are (X... 下0 Y 下0 At a certain time point t1, the real-time position coordinates of the target (100A1) are (X... 上1 Y 上1 The real-time position coordinates of the target (100B1) are (X... 下1 Y 下1 ); At time point t1, the rotation angle of the upper support plate (5001) in the XOY plane The calculation formula is: ； The rotation angle of the lower support plate (5002) on the XOY plane The calculation formula is ； The relative rotation angle of the upper support plate (5001) and the lower support plate (5002) on the XOY plane at time point t1 is calculated based on the rotation angle of the upper support plate (5001) and the lower support plate (5002). The calculation formula is as follows: 。 2. A method for monitoring the rotation angle of bridge bearings based on machine vision and a target, comprising the bridge bearing rotation angle monitoring device based on machine vision and a target as described in claim 1, characterized in that, The following steps are involved: Multiple targets (100) are set on the bridge bearing (500); The camera (200) is used to acquire image data of the target (100) in real time; The image data of the target (100) is received and transmitted using a communication terminal (300); The rotation angle of the bridge support (500) is calculated by the server (400) based on the image data of the target (100).

3. The bridge bearing rotation angle monitoring method based on machine vision and target as described in claim 2, characterized in that, The server (400) includes an image recognition unit (4001) and a calculation unit (4002). The image recognition unit (4001) identifies the position coordinates of the target (100) based on the image data of the target (100), and the calculation unit (4002) calculates the rotation angle of the bridge support (500) based on the position coordinates of the target (100).

4. The bridge bearing rotation angle monitoring method based on machine vision and target as described in claim 3, characterized in that, The number of targets (100) is four, with two targets (100) forming a group. One group of targets (100) is set on the upper support plate (5001) of the bridge bearing (500), and the other group of targets (100) is set on the lower support plate (5002) of the bridge bearing (500).

5. The bridge bearing rotation angle monitoring method based on machine vision and target as described in claim 4, characterized in that, The process by which the calculation unit (4002) calculates the rotation angle of the bridge bearing (500) based on the position coordinates of the target (100) is as follows: The rotation angle of the upper support plate (5001) is calculated based on the real-time position coordinates of the target (100) on the upper support plate (5001); The rotation angle of the lower support plate (5002) is calculated based on the real-time position coordinates of the target (100) on the lower support plate (5002); The relative rotation angles of the upper support plate (5001) and the lower support plate (5002) are calculated based on the rotation angles of the upper support plate (5001) and the lower support plate (5002).

6. The bridge bearing rotation angle monitoring method based on machine vision and target as described in claim 3, characterized in that, The position coordinates of the target (100) are two-dimensional coordinates.

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