As the primary load-bearing and force-transmitting component of cable-supported bridges, the health of bridge cables directly impacts the overall safety and service life of the structure. Thus, efficient and accurate monitoring of cable conditions is crucial. This paper presents a novel bridge cable condition monitoring system utilizing an integrated multi-sensor mobile robotic platform, modified by the DJI Robomaster EP (DJI 2022). The platform is equipped with a camera and an accelerometer. The camera captures cable vibrations, and the accelerometer monitors bridge deck vibrations. The system is composed of three key components: (1) the integrated multi-sensor robotic platform, (2) autonomous driving control for the robotic car, and (3) data processing for cable condition assessment. The monitoring process involves the robotic car navigating along the bridge deck walkway while collecting vibration data via the onboard sensors. Cable vibrations are detected in real-time using a vision-based approach, extracting vibration frequencies from camera footage. The collected data is then processed and analyzed to accurately assess cable conditions. The system's reliability has been validated through a case study on a cable-stayed bridge, demonstrating its theoretical significance and practical potential in bridge cable monitoring.

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Autonomous Multi-sensor Robotic System for Bridge Cable Condition Monitoring

  • Dace Chen,
  • Zhen Sun

摘要

As the primary load-bearing and force-transmitting component of cable-supported bridges, the health of bridge cables directly impacts the overall safety and service life of the structure. Thus, efficient and accurate monitoring of cable conditions is crucial. This paper presents a novel bridge cable condition monitoring system utilizing an integrated multi-sensor mobile robotic platform, modified by the DJI Robomaster EP (DJI 2022). The platform is equipped with a camera and an accelerometer. The camera captures cable vibrations, and the accelerometer monitors bridge deck vibrations. The system is composed of three key components: (1) the integrated multi-sensor robotic platform, (2) autonomous driving control for the robotic car, and (3) data processing for cable condition assessment. The monitoring process involves the robotic car navigating along the bridge deck walkway while collecting vibration data via the onboard sensors. Cable vibrations are detected in real-time using a vision-based approach, extracting vibration frequencies from camera footage. The collected data is then processed and analyzed to accurately assess cable conditions. The system's reliability has been validated through a case study on a cable-stayed bridge, demonstrating its theoretical significance and practical potential in bridge cable monitoring.