一种基于多传感器融合的桥梁伸缩缝梁端面裂缝状态实时监测系统

Abstract

本实用新型公开一种基于多传感器融合的桥梁伸缩缝梁端面裂缝状态实时监测系统，该系统通过使用膜传感器实时监测桥梁伸缩缝梁端面的裂缝产生及扩展突变情况，使用栅贴片式应变传感器实时监测桥梁伸缩缝梁端面上的裂缝的宽度变化，使用MS倾角传感器实时监测梁端面局部倾斜角度，辅助判断裂缝深度；再通过信号采集与分析设备接收各传感器的实时监测信息进行处理、分析，并发送预警信息。本实用新型，通过多传感器协同感知裂缝宽度、深度及扩展趋势，实现裂缝破坏的早期预警，三者结合可降低漏检率，并通过实时监测数据融合提高预警准确性，具有良好的实用价值及应用前景。

Claims

1. A real-time monitoring system for the crack status of bridge expansion joint beam end faces based on multi-sensor fusion, characterized in that: include: An elastic conductive film sensor (1) is laid on the beam end face (3) of the bridge expansion joint (2) and covers the entire beam end face (3) for real-time monitoring of the crack generation and expansion abrupt changes in the beam end face (3) of the bridge expansion joint (2). Multiple fiber optic patch strain sensors (4) are distributed on the beam end face (3) to monitor the width change of cracks on the beam end face (3) of the bridge expansion joint (2) in real time. At least one MEMS tilt sensor (5) is set in the middle of the beam end face (3) to monitor the local tilt angle of the beam end face (3) in real time and assist in judging the crack depth; The signal acquisition and analysis device (6) is used to receive and acquire real-time monitoring information from the elastic conductive thin film sensor (1), the fiber optic patch strain sensor (4), and the MEMS tilt sensor (5), perform signal processing and analysis, and send early warning information.

2. The multi-sensor fusion based real-time monitoring system for bridge joint end face crack status according to claim 1, characterized in that: The elastic conductive thin film sensor (1) is applied and fixed to the beam end face (3) of the bridge expansion joint (2) by an adhesive (7), and a clearance hole (101) is provided on it at the corresponding position of the fiber optic patch strain sensor (4) and the MEMS tilt sensor (5).

3. The multi-sensor fusion based real-time monitoring system for bridge joint end face crack status according to claim 2, characterized in that: The elastic conductive film sensor (1) has a thickness of 0.10 mm to 0.80 mm, and transmits electrical signals to the signal acquisition and analysis device (6) through a conductive cable (102); the adhesive (7) is YH-396 rubber special adhesive, and its thickness is 100 μm to 200 μm.

4. The multi-sensor fusion based real-time monitoring system for bridge joint end face crack status according to claim 1, characterized in that: The fiber grating patch strain sensor (4) is fixed to the bridge end face (3) by adhesive. The distance between each fiber grating patch strain sensor (4) is 2 to 5 times its gauge length. Each fiber grating patch strain sensor (4) is connected in series by sensing fiber (401) and the optical signal is transmitted to the signal acquisition and analysis device (6) through sensing fiber (401).

5. The multi-sensor fusion based real-time monitoring system for bridge joint end face crack status according to claim 4, characterized in that: The fiber optic patch strain sensor (4) is an OSC3120 patch sensor with a gauge length of 22mm and a distance of 50mm to 100mm between each sensor. The adhesive method uses a high-modulus adhesive, including any one of 3M™ polyurethane sealant 560, 8261 high-modulus polyurethane building sealant, XHG-9286 neutral transparent silicone sealant, or Ante-366 high-strength MS sealant.

6. The multi-sensor fusion based real-time monitoring system for bridge joint end face crack status according to claim 4, characterized in that: The sensing optical fiber (401) is provided with an external protective sleeve made of carbon fiber, which is used to encapsulate and protect the sensing optical fiber (401) to ensure its stable connection to each fiber grating patch strain sensor (4) and the stable transmission of strain signals.

7. The multi-sensor fusion based real-time monitoring system for bridge joint end face crack status according to claim 1, characterized in that: The MEMS tilt sensor (5) is an ASM IK360 sensor, which is fixed to the beam end face (3) by adhesive or screws and connected to the signal acquisition and analysis equipment (6) through the digital communication interface (501).

8. The multi-sensor fusion based real-time monitoring system for bridge joint end face crack status according to claim 1, characterized in that: The signal acquisition and analysis device (6) is installed on the equipment platform (9) set on the bridge pier (8), and includes a signal acquisition module (601), a data analysis module (602) and an early warning alarm module (603). The signal acquisition module (601) is used to receive and amplify the real-time monitoring information from the elastic conductive thin film sensor (1), the fiber optic patch strain sensor (4), and the MEMS tilt sensor (5). The data analysis module (602) processes and analyzes the collected signals, extracts relevant information, determines the generation, expansion and tilt angle changes of cracks, and determines whether a warning or alarm signal needs to be issued. The early warning and alarm module (603) sends an early warning or alarm signal based on the analysis results of the data analysis module (602).

9. The multi-sensor fusion based real-time monitoring system for bridge joint end face crack status according to claim 1, characterized in that: The real-time monitoring system also includes a risk management platform center (10), which is used to receive early warning and alarm information issued by the signal acquisition and analysis equipment (6) so that managers can monitor the crack status of the bridge expansion joint (2) beam surface and repair the beam end face (3) in a timely manner.

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