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An IoT-Based Road Bridge Health Monitoring and Warning System.

A R Al-Ali1, Salwa Beheiry2, Ahmad Alnabulsi1

  • 1Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates.

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|January 23, 2024
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Summary
This summary is machine-generated.

This study introduces an IoT-based system for real-time bridge health monitoring, using sensors and fuzzy logic to provide early warnings and improve transportation safety.

Keywords:
UNSDGsfuzzy logicintelligent transport systemsinternet of thingsresilient infrastructuresmart road bridgesstructural health monitoring systems

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Area of Science:

  • Civil Engineering
  • Structural Health Monitoring
  • Internet of Things (IoT)

Background:

  • Earthquakes cause significant infrastructure damage, particularly to road bridges, leading to loss of life.
  • Existing bridge monitoring methods are limited by detection capabilities, cost, and accessibility.
  • Aging infrastructure requires advanced solutions to prevent structural failure and ensure public safety.

Purpose of the Study:

  • To develop a wireless, low-cost, and user-friendly IoT-based system for monitoring bridge health status.
  • To classify bridge health into distinct categories from excellent to collapse.
  • To enhance transportation safety and reduce maintenance costs through an early warning system.

Main Methods:

  • Integration of deflection, vibration, temperature, humidity, and infrared sensors.
  • Application of the Internet of Things (IoT) for data transmission and analysis.
  • Utilizing a fuzzy logic algorithm for health status classification and an early warning system.
  • Development of a mobile application and Google Maps interface for real-time data visualization.

Main Results:

  • A 3-D prototype model was constructed and tested to validate the system's performance.
  • Practical testing confirmed the fuzzy logic algorithm's accuracy in determining bridge health status.
  • The system demonstrated expected accuracy in classifying bridge health conditions.

Conclusions:

  • The proposed IoT-based system offers a reliable and cost-effective solution for bridge health monitoring.
  • Early warning capabilities significantly enhance transportation safety and infrastructure management.
  • The system effectively addresses the limitations of traditional bridge inspection methods.