Displacement monitoring integrated shock insulation support based on visual identification

Abstract

The invention discloses a displacement monitoring integrated shock insulation support based on visual recognition. The displacement monitoring integrated shock insulation support comprises a lower sliding groove assembly, a lower sliding body assembly, an upper sliding body assembly, an upper sliding groove set, a fisheye joint shaft connecting piece, a shock insulation support body, a target, a camera and an edge calculation end. Two targets and a camera are installed on a body of the shock insulation support, and when vibration occurs, an upper friction pendulum and a lower friction pendulum of the shock insulation support slide along an upper sliding groove and a lower sliding groove respectively to drive the targets to move synchronously. A camera shoots a displacement video of a target, the video is transmitted to a data processing system through a built-in wireless transmission module, feature extraction, coordinate matching and physical displacement conversion are carried out on the video according to a sift algorithm to obtain the real displacement of the friction pendulum, the real displacement is visually displayed, meanwhile, displacement data are uploaded to a server, and the real displacement of the friction pendulum is displayed. And real-time monitoring of the displacement of the shock insulation support is realized.

Description

Technical Field

[0001] This invention patent relates to an integrated seismic isolation bearing for displacement monitoring based on visual recognition, belonging to the technical field of friction pendulum seismic isolation bearings. Background Technology

[0002] In building and structural engineering, vibration and earthquakes are among the factors that pose significant challenges to structural safety. When an earthquake or other external impact acts on a building, the structure will vibrate and deform accordingly. These vibrations and deformations may lead to structural damage or collapse, thereby endangering people's lives and property. To protect buildings and structures and reduce the impact of earthquakes and other impacts, engineers and scientists have proposed many design and development methods for seismic isolation bearings. These bearings can reduce the stress on the structure and absorb vibration energy, thus lowering the risk of structural damage caused by earthquakes.

[0003] Traditional friction pendulum isolation bearings reduce vibration by dissipating energy through the sliding interface, but current displacement monitoring mostly relies on external sensors (such as accelerometers and LVDT displacement gauges), which has the following problems: 1. The sensor needs to be installed separately, increasing the complexity of construction; 2. Long-term use is susceptible to environmental interference, leading to data drift; 3. The relative displacement inside the support cannot be directly obtained.

[0004] Therefore, it is necessary to propose a new integrated displacement monitoring seismic isolation bearing design to achieve non-contact displacement monitoring, which has advantages such as high precision, real-time performance, and low maintenance costs. Summary of the Invention

[0005] The problem this invention aims to solve is to provide a structure capable of real-time monitoring of friction pendulum displacement. To overcome the shortcomings of existing technologies and achieve high-precision, real-time, and low-maintenance non-contact displacement monitoring, this invention provides an integrated seismic isolation bearing for displacement monitoring based on visual recognition.

[0006] The technical solution of this invention: This invention relates to an integrated seismic isolation bearing for displacement monitoring based on visual recognition, comprising a seismic isolation bearing, a target assembly, a visual acquisition system, and a data processing system. The workflow is as follows: Figure 1 As shown, when an earthquake occurs, the friction pendulum of the seismic isolation bearing slides along the sliding groove, causing the target to move synchronously. The visual acquisition system captures video of the target's displacement and transmits the video to the data processing system via a built-in wireless transmission module. Then, based on the SIFT algorithm, the video undergoes feature extraction, coordinate matching, and physical displacement transformation to obtain the actual displacement of the friction pendulum, thus achieving real-time monitoring of the seismic isolation bearing's displacement.

[0007] The seismic isolation bearing of the present invention comprises a seismic isolation bearing body 6 consisting of a lower sliding groove assembly 1, a lower sliding body assembly 2, an upper sliding body assembly 3, an upper sliding groove assembly 4, and a cross shaft connector 5. The lower sliding body assembly 2 and the upper sliding body assembly 4 are connected by a cross shaft 5 to form a slider. The lower sliding body assembly 2 and the upper sliding body assembly 4 can rotate around the cross shaft 5 to ensure that the slider 2 and 4 can fully contact the lower sliding groove 1 and the upper sliding groove 3 when subjected to force.

[0008] The target assembly of this invention consists of two target points 7. Each target point is composed of 16 small black and white squares arranged in a 4*4 pattern to form a large square. The target point is made of a corrosion-resistant reflective material and is respectively attached to the side and bottom surfaces of the friction pendulum isolation support. The visual acquisition system of this invention includes a small industrial camera 8 with a frame rate of not less than 60fps and a resolution of not less than 1080P. The camera 8 integrates wireless transmission functionality, supporting the wireless transmission of captured data to a data processing system 9.

[0009] The data processing system 9 of this invention includes an edge computing terminal that integrates a data receiving unit and a displacement calculation unit. The data receiving unit is responsible for receiving video transmitted from the visual acquisition system, and the displacement calculation unit calculates the displacement of the friction pendulum to realize displacement monitoring of the seismic isolation bearing.

[0010] Compared with the prior art, the present invention has the following advantages: This device achieves simultaneous multidimensional displacement measurement of the friction pendulum through the coordinated use of dual targets on the side and bottom surfaces. The 4×4 high-contrast target design significantly improves the success rate of SIFT feature point matching. 2. Wireless transmission avoids the risk of cable breakage; the camera has a protective outer shell to ensure image quality in low-light and dirty scenes, and has strong resistance to environmental interference. 3. The device has high engineering applicability. Its modular design supports the rapid installation and modification of existing friction pendulum supports. The data processing system can be directly connected to the structural health monitoring platform and is compatible with BIM model data fusion.

[0011] 4. This device has a long service life and low maintenance costs. Unlike traditional contact monitoring, this device does not suffer from sensor mechanical wear. Attached Figure Description

[0012] Figure 1 This is a flowchart of the workflow for an integrated seismic isolation bearing based on visual recognition for displacement monitoring. Figure 2 This is a planar view of the target assembly; Figure 3 It is a three-dimensional view of the seismic isolation bearing body; Figure 4 This is a 3D view of the target assembly's installation location; Figure 5 It is a 3D diagram showing the camera's installation location; In the figure: 1-lower sliding groove assembly, 2-lower sliding body assembly, 3-upper sliding body assembly, 4-upper sliding groove assembly, 5-fisheye joint shaft connector, 6-vibration isolation support body, 7-target, 8-camera, 9-edge computing terminal. Detailed Implementation

[0013] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings and technical solutions.

[0014] The integrated seismic isolation bearing for displacement monitoring based on visual recognition includes 1-lower sliding groove assembly, 2-lower sliding body assembly, 3-upper sliding body assembly, 4-upper sliding groove assembly, 5-fisheye joint shaft connector, 6-seismic isolation bearing body, 7-target, 8-camera, and 9-edge computing terminal.

[0015] Using high-temperature resistant epoxy resin will result in... Figure 2 The targets 7 shown are respectively attached to the side and bottom surfaces of the upper sliding groove assembly 4, as shown. Figure 3 As shown. The tilt angle of camera 8 is adjusted to ensure the target completely covers the frame. An independent IP address is assigned to camera 8, and the low-latency transmission protocol RTSP is configured. Under static load, the sliding groove group 4 on the friction pendulum is driven to perform a known displacement, and the target image is acquired. The linear relationship between the pixel displacement and the actual displacement is fitted using the least squares method to generate a calibration coefficient matrix.

[0016] Camera 8 is activated to continuously capture video, which is then wirelessly transmitted to edge computing terminal 9. The SIFT algorithm is used to extract feature points, calculate the displacement of each frame, display the time-history curve on the visualization interface, and simultaneously store it in the database.

Claims

1. A visual recognition-based displacement monitoring integrated seismic isolation bearing, characterized in that, The friction pendulum comprises a lower sliding groove assembly (1), a lower sliding body assembly (2), an upper sliding body assembly (3), an upper sliding groove assembly (4), a fisheye joint shaft connector (5), a target (7), a camera (8), and an edge computing terminal (9).

2. The integrated seismic isolation bearing for displacement monitoring based on visual recognition as described in claim 1, characterized in that: The friction pendulum body consists of a lower sliding groove assembly (1), a lower sliding body assembly (2), an upper sliding body assembly (3), an upper sliding groove assembly (4), and a fisheye joint shaft connector (5).

3. The integrated seismic isolation bearing for displacement monitoring based on visual recognition as described in claim 1, characterized in that: The target (7) consists of 16 small black and white squares arranged in a 4*4 pattern to form a large square, and is made of corrosion-resistant reflective material. The seismic isolation bearing has two target points, which are attached to the side and bottom surfaces of the friction pendulum on the friction pendulum seismic isolation bearing, respectively.

4. The integrated seismic isolation bearing for displacement monitoring based on visual recognition according to claim 1, characterized in that: The camera (8) has a frame rate of no less than 60fps and a resolution of no less than 1080P. The camera integrates wireless transmission functionality, supporting the wireless transmission of captured data to the data processing system.

5. The integrated seismic isolation bearing for displacement monitoring based on visual recognition according to claim 1, characterized in that: The seismic isolation bearing body (6) is equipped with two targets (7) and two cameras (8) for monitoring the bidirectional displacement of the friction pendulum.

6. The integrated seismic isolation bearing for displacement monitoring based on visual recognition according to claim 1, characterized in that: The edge computing terminal (9) integrates a data receiving unit and a displacement calculation unit. It receives video transmitted from the camera (8), and then the displacement calculation unit calculates the displacement of the friction pendulum to realize displacement monitoring of the seismic isolation bearing.

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