Al-Ali A R, Beheiry Salwa, Alnabulsi Ahmad, Obaid Shahed, Mansoor Noor, Odeh Nada, Mostafa Alaaeldin
Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates.
Department of Civil Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates.
Sensors (Basel). 2024 Jan 12;24(2):469. doi: 10.3390/s24020469.
Recent earthquakes worldwide have led to significant loss of life and structural damage to infrastructure, especially road bridges. Existing bridge monitoring systems have limitations, including restricted detection capabilities, subjectivity, human error, labor-intensive inspections, limited access to remote areas, and high costs. Aging infrastructures pose a critical concern for organizations and government funding policies, showing signs of decay and impending structural failure. To address these challenges, this research proposes an IoT-based bridge health status monitoring and warning system that is wireless, low-cost, durable, and user-friendly. The proposed system builds upon engineering standards and guidelines to classify bridge health status into categories ranging from excellent to collapse condition. It incorporates deflection, vibration, temperature, humidity, and infrared sensors, combined with IoT and a fuzzy logic algorithm. The primary objective is to reduce bridge maintenance costs, extend lifespans, and enhance transportation safety through an early warning system via a mobile application. Additionally, a Google Maps interface has been developed to display bridge conditions along with real-time traffic video. To validate the proposed system, a 3-D prototype model was constructed and tested. Practical testing of the fuzzy logic algorithm aligned with the simulation outcomes, demonstrating expected accuracy in determining bridge health status.
近期全球范围内的地震导致了重大人员伤亡以及基础设施，尤其是公路桥梁的结构损坏。现有的桥梁监测系统存在局限性，包括检测能力受限、主观性、人为误差、人工检查劳动强度大、偏远地区难以到达以及成本高昂等问题。老化的基础设施对组织和政府资金政策构成了重大担忧，显示出老化迹象以及即将出现的结构故障。为应对这些挑战，本研究提出了一种基于物联网的桥梁健康状态监测与预警系统，该系统具有无线、低成本、耐用且用户友好的特点。所提出的系统基于工程标准和指南，将桥梁健康状态分为从优良到坍塌等不同类别。它集成了挠度、振动、温度、湿度和红外传感器，并结合了物联网和模糊逻辑算法。主要目标是通过移动应用程序的预警系统降低桥梁维护成本、延长使用寿命并提高交通安全。此外，还开发了一个谷歌地图界面，用于显示桥梁状况以及实时交通视频。为验证所提出的系统，构建并测试了一个三维原型模型。模糊逻辑算法的实际测试与模拟结果相符，在确定桥梁健康状态方面显示出预期的准确性。
