Bridge structure support posture and main beam deflection synchronous monitoring device

Abstract

The invention discloses a bridge structure support posture and main beam deflection synchronous monitoring device which comprises a monitoring device body, a support posture camera module, a deflection camera module, an edge processing module, a support posture target and a main beam deflection target. The support posture target is installed at the beam bottom of one end of the main beam and located over the monitoring device body, and the main beam deflection target is installed on a main beam deflection measuring point; the support posture monitoring visual angle is vertically upward, and the position of the support posture target in a camera picture is monitored in real time; the deflection monitoring visual angle horizontally faces the midspan direction of the main beam, and the position of the deflection target in a camera picture is monitored in real time. According to the bridge structure support posture and main beam deflection synchronous monitoring device provided by the invention, multi-parameter synchronous fusion analysis of support posture-main beam deflection and multi-displacement index monitoring of a bridge structure are realized, and monitoring hardware support is provided for performance evolution analysis of the bridge structure.

Description

Technical Field

[0001] This invention relates to a bridge structure monitoring device, and more particularly to a device for synchronously monitoring the bearing posture and main beam deflection of a bridge structure. Background Technology

[0002] In the field of bridge structural health monitoring, the coupled response of bearing posture and main girder deflection is a core indicator for assessing structural safety. Traditional monitoring technologies suffer from two major technological limitations: First, the monitoring of bearing three-dimensional displacement (longitudinal / lateral / vertical) and rotation angle often employs contact sensor arrays, requiring dense deployment of displacement gauges, inclinometers, and other equipment around the bearings, resulting in high installation complexity and measurement blind spots. Second, main girder deflection monitoring often relies on periodic manual measurements using total stations or distributed fiber optic sensing. The former suffers from low temporal resolution and sensitivity to environmental interference, while the latter is limited by fiber optic survival rates and high maintenance costs. More significantly, existing technologies treat bearing and main girder monitoring as two independent systems, making it difficult to capture the spatiotemporal correlation characteristics of instantaneous bearing rotation and dynamic deflection of the main girder under vehicle loads, thus severely restricting the accurate inversion of the overall mechanical behavior of the bridge.

[0003] Although machine vision technology provides a new approach for non-contact monitoring, existing solutions face three technical barriers in synchronous monitoring scenarios: 1) Support pose calculation requires high frame rate to capture subtle angle changes, while long-distance deflection measurement requires large field of view coverage and sub-pixel positioning accuracy, which a single camera cannot handle; 2) Complex lighting conditions (such as nighttime, rain, and fog) lead to a decrease in target recognition rate; 3) The time-domain mismatch caused by asynchronous transmission of multi-source data reduces the reliability of dynamic coupling analysis of support-main beam. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a synchronous monitoring device for the bearing posture and main beam deflection of a bridge structure, which realizes the synchronous fusion analysis of multiple parameters of bearing posture and main beam deflection and the monitoring of multiple displacement indicators of the bridge structure, providing monitoring hardware support for the performance evolution analysis of bridge structures.

[0005] The technical solution adopted by this invention to solve the above-mentioned technical problems is to provide a bridge structure support posture and main beam deflection synchronous monitoring device, including a monitoring device body, a support posture camera module, a deflection camera module, an edge processing module, a support posture target, and a main beam deflection target. The monitoring device body is fixedly installed at the top of the pier. The support posture target is installed at the bottom of one end of the main beam and directly above the monitoring device body. The main beam deflection target is installed at the deflection measuring point of the main beam. The support posture monitoring angle is vertically upward, and the position of the support posture target in the camera image is monitored in real time. The deflection monitoring angle is horizontally oriented towards the mid-span direction of the main beam, and the position of the deflection target in the camera image is monitored in real time.

[0006] Furthermore, the support posture target adopts an infrared luminescent Aruco code array, the main beam deflection target adopts an infrared luminescent concentric circle identification code, and the edge processing module processes images from the support posture camera module and the deflection camera module in real time to simultaneously obtain the main beam deflection and support posture.

[0007] Furthermore, the edge processing module includes: performing grayscale conversion, gamma correction, and Gaussian filtering denoising on infrared images from the support posture camera module and the deflection camera module, and cropping the support monitoring target area based on a preset region of interest, the support monitoring target area including the support posture target and the main beam deflection target; performing binarization processing on the preprocessed image, calling the OpenCV Aruco module to detect the infrared emitting Aruco code array, and calculating the support's three-dimensional translation vector t and planar rotation angle θ using the PnP algorithm; applying Hough circle transform to the main beam deflection target image to identify multiple concentric circles, and using the vertical pixel offset of the circle center. Calculate the main beam deflection δ; through Calculate the deflection of the main beam, where The physical diameter of the concentric circles. The image pixel size is set to the concentric circle image size; the timestamps from the two cameras are interpolated and aligned to output the support pose and main beam deflection under a unified time reference, thus achieving data fusion; a weighted Kalman filter is used to filter out the measurement noise of each camera and output a robust integrated monitoring result of the support pose and main beam deflection.

[0008] Furthermore, the support posture camera module is a high-definition low-distortion camera, and the deflection camera module uses a variable-focus high-magnification telephoto lens.

[0009] Furthermore, the edge processing module employs a Raspberry Pi microcomputer or a Jetson microcomputer.

[0010] Furthermore, the support posture camera module is connected to the edge processing module via a USB interface, and the deflection camera module is connected to the edge processing module via an RJ45 interface.

[0011] Compared with the prior art, the present invention has the following beneficial effects: The bridge structure support posture and main beam deflection synchronous monitoring device provided by the present invention constructs a synchronous monitoring system for support posture and main beam deflection, realizes multi-parameter synchronous fusion analysis of support posture and main beam deflection and multi-displacement index monitoring of bridge structure, and provides monitoring hardware support for bridge structure performance evolution analysis. Attached Figure Description

[0012] Figure 1 This is a schematic diagram of the bridge structure support posture and main beam deflection synchronous monitoring device of the present invention. Figure 2 This is a schematic diagram of the planar structure of the synchronous monitoring device of the present invention; Figure 3 This is a schematic diagram of the installation layout of the synchronous monitoring device of the present invention; Figure 4a This is a schematic diagram of the support posture target structure of the synchronous monitoring device of the present invention; Figure 4b This is a schematic diagram of the main beam deflection target structure of the synchronous monitoring device of the present invention.

[0013] The diagram is labeled as follows: 101 - Monitoring device body; 201 - Support posture monitoring angle; 202 - Support posture camera module; 301 - Deflection monitoring angle; 302 - Deflection camera module; 401 - Edge processing module; 501 - Support posture target; 502 - Main beam deflection target; 601 - Main beam; 602 - Pier; 603 - Support. Detailed Implementation

[0014] The present invention will now be further described with reference to the accompanying drawings and embodiments.

[0015] Figure 1 This is a schematic diagram of the bridge structure support posture and main beam deflection synchronous monitoring device of the present invention. Figure 2 This is a schematic diagram of the planar structure of the synchronous monitoring device of the present invention; Figure 3 This is a schematic diagram of the installation and layout of the synchronous monitoring device of the present invention.

[0016] Please see Figure 1 , Figure 2 and Figure 3 The bridge structure support posture and main beam deflection synchronous monitoring device provided by the present invention includes a monitoring device body 101, a support posture camera module 202, a deflection camera module 302, an edge processing module 401, a support posture target 501, and a main beam deflection target 502. The monitoring device body 101 is fixedly installed at the top of the pier 602. The support posture target 501 is installed at the bottom of one end of the main beam 601 and directly above the monitoring device body 101. A support 603 is provided between the main beam 601 and the pier 602. The main beam deflection target 502 is installed on the deflection measuring point of the main beam. The support posture monitoring angle 201 is vertically upward, and monitors the position of the support posture target 501 in the camera frame in real time. The deflection monitoring angle 301 is horizontally oriented towards the mid-span direction of the main beam, and monitors the position of the deflection target 502 in the camera frame in real time.

[0017] The present invention provides a bridge structure support posture and main beam deflection synchronous monitoring device, wherein the support posture camera module 202 is a high-definition small distortion camera, and the deflection camera module 302 adopts a variable zoom high magnification telephoto lens to adapt to the monitoring needs of different spans.

[0018] The bridge structure support posture and main beam deflection synchronous monitoring device provided by the present invention includes an edge processing module 401 using a Raspberry Pi microcomputer. Depending on the real-time monitoring and sampling frequency requirements, a higher-performance Jetson microcomputer can be used. The edge processing module 401 processes images from the support posture camera module 202 and the deflection camera module 302 in real time to synchronously obtain the main beam deflection and support posture.

[0019] The bridge structure support posture and main beam deflection synchronous monitoring device provided by the present invention, wherein the support posture target 501 adopts an infrared luminescent Aruco code array, such as... Figure 4a As shown.

[0020] The bridge structure support posture and main beam deflection synchronous monitoring device provided by the present invention, wherein the main beam deflection target 502 adopts an infrared luminescent concentric circle identification code, such as... Figure 4b As shown.

[0021] The present invention provides a bridge structure support posture and main beam deflection synchronous monitoring device, wherein the support posture camera module 202 is connected and communicates with the edge processing module 401 via a USB interface, and the deflection camera module 302 is connected and communicates with the edge processing module 401 via an RJ45 interface.

[0022] Specific implementation steps: Step 1: The edge processing module 401 performs grayscale conversion, gamma correction, and Gaussian filtering to denoise the infrared images from the support posture camera module 202 and the deflection camera module 302. Based on the preset ROI (Region of Interest), it extracts the monitoring target area of ​​the support (support posture target 501) / main beam (deflection target 502) and excludes irrelevant monitoring areas to achieve efficient image analysis.

[0023] Step 2: Binarize the preprocessed image, call the OpenCV Aruco module to detect the infrared emitting Aruco code array, and calculate the three-dimensional translation vector t and planar rotation angle θ of the support using the PnP (Perspective-n-Point) algorithm; apply Hough circle transform to the 502 image of the main beam deflection target to identify multiple concentric circles, and use the vertical pixel offset of the circle center. Calculate the main beam deflection δ; through Calculate the deflection of the main beam, where The physical diameter of the concentric circles. The pixel dimensions are those of the concentric circle image. The PnP algorithm is a computer vision method that solves for the camera pose (rotation matrix R and translation vector t) using known 3D spatial points and their corresponding 2D image projection points.

[0024] Step 3: Interpolate and align the timestamps from the two cameras to output the support pose and main beam deflection under a unified time reference, thus achieving data fusion.

[0025] Step 4: Use a weighted Kalman filter to filter out individual measurement noise and output robust integrated monitoring results of support posture and main beam deflection.

[0026] Step 5: Calculate an effective index reflecting the structural stiffness performance based on the support posture and main beam deflection results aligned with the timestamps. This involves subtracting the support compression displacement from the measured deflection data. This index is used to further evaluate the stiffness performance of the main beam.

[0027] Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications and improvements without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall be defined by the claims.

Claims

1. A device for synchronously monitoring the bearing posture and main beam deflection of a bridge structure, characterized in that, The system includes a monitoring device body (101), a support posture camera module (202), a deflection camera module (302), an edge processing module (401), a support posture target (501), and a main beam deflection target (502). The monitoring device body (101) is fixedly installed at the top of the pier. The support posture target (501) is installed at the bottom of one end of the main beam (601) and is located directly above the monitoring device body (101). The main beam deflection target (502) is installed on the deflection measuring point of the main beam. The support posture monitoring angle (201) is vertically upward and monitors the position of the support posture target (501) in the camera frame in real time. The deflection monitoring angle (301) is horizontally oriented towards the mid-span of the main beam and monitors the position of the deflection target (502) in the camera frame in real time.

2. The bridge structure support posture and main beam deflection synchronous monitoring device as described in claim 1, characterized in that, The support posture target (501) adopts an infrared luminescent Aruco code array, the main beam deflection target (502) adopts an infrared luminescent concentric circle identification code, and the edge processing module (401) processes the images from the support posture camera module (202) and the deflection camera module (302) in real time to simultaneously obtain the main beam deflection and support posture.

3. The bridge structure support posture and main beam deflection synchronous monitoring device as described in claim 2, characterized in that, The edge processing module (401) includes: The infrared images from the support posture camera module (202) and the deflection camera module (302) are subjected to grayscale conversion, gamma correction and Gaussian filtering for noise reduction, and the support monitoring target area is extracted based on the preset region of interest. The support monitoring target area includes the support posture target (501) and the main beam deflection target (502). Binarization was performed on the preprocessed image, and the OpenCV Aruco module was called to detect the infrared emitting Aruco code array. The three-dimensional translation vector t and the plane rotation angle θ of the support were calculated by the PnP algorithm. Hough circle transform was applied to the image of the main beam deflection target (502) to identify multiple concentric circles, and the vertical pixel offset of the circle center was used to determine the results. Calculate the main beam deflection δ; through Calculate the deflection of the main beam, where The physical diameter of the concentric circles The pixel dimensions of the concentric circle image; Interpolate and align the timestamps from the two cameras to output the support pose and main beam deflection under a unified time reference, thus achieving data fusion. By using a weighted Kalman filter, individual measurement noises are filtered out, and robust integrated monitoring results of support posture and main beam deflection are output.

4. The bridge structure support posture and main beam deflection synchronous monitoring device as described in claim 1, characterized in that, The support posture camera module (202) is a high-definition small distortion camera, and the deflection camera module (302) adopts a variable zoom high magnification telephoto lens.

5. The bridge structure support posture and main beam deflection synchronous monitoring device as described in claim 1, characterized in that, The edge processing module (401) uses a Raspberry Pi microcomputer or a Jetson microcomputer.

6. The bridge structure support posture and main beam deflection synchronous monitoring device as described in claim 1, characterized in that, The support posture camera module (202) is connected to the edge processing module (401) via a USB interface, and the deflection camera module (302) is connected to the edge processing module (401) via an RJ45 interface.

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