FPGA-Based Bridge Stress Structure Detection System
Abstract:
vibrating string sensors are widely utilized in bridge stress monitoring systems because of their high preci-sion and robustness in measur¬ing structural strain and stress. This paper proposes an advanced bridge stress monitoring system based on field-programmable gate arrays (FPGAs) and advanced RISC machines (ARMs) as core pro¬cess ing units, enabling efficient and reliable operation. The system architecture com-prises four integral subsystems: a data acquisition module, an FPGA-based data processing unit, a data transmission framework, and a comprehen sive data management subsystem. The FPGA subsystem, im-plemented via the Altera Cyclone IV EP4CE10E22C8N device, integrates critical modules, including an excitation signal generator, a sweep signal controller, a frequency meas¬urement unit, and a top-level sys-tem coordinator. These modules collectively enable precise frequency signal measurements from vibrat¬ing string sensors, achieving a measurement accuracy of 99%. The ARM subsystem, which is based on the STMicroelectronics STM32F407 microcon¬troller, manages data communication protocols, system-level control operations, and user interface interactions, ensuring seamless hardware‒software integration. The experimental results demonstrate that the proposed system exhibits high stability, reliability, and strong resis tance to interference. These attributes make it highly suitable for practical applications in bridge stress monitoring. The system's modular design and scalable architec¬ture further enhance its adapt-ability to various monitoring requirements, offering valuable insights for engineers and researchers in the field of structural health monitoring. This work provides a robust reference for the development of intelli-gent transportation systems and large-scale infrastructure monitoring applications.
