Enhancing Structural Health Monitoring Systems Using Integrated Fog and Cloud Computing within an IoT Framework

This project aims to optimize structural health monitoring systems by integrating fog and cloud computing within an Internet of Things (IoT) framework. The system employs a diverse array of sensors and devices, including Arduino-based heartbeat sensors for detecting vibrations, Dallas temperature sensors for monitoring thermal conditions, RFID card readers for asset tracking, and an LCD display for real-time status updates. These sensors continuously gather data on the structural integrity and environmental conditions of critical components.The data collected is transmitted through a NodeMCU microcontroller to the ThingSpeak IoT webserver for centralized analysis and visualization. The integration of fog computing allows for local processing of data at the network edge, reducing latency and bandwidth usage, while cloud computing provides scalable storage and advanced analytics capabilities. This hybrid approach facilitates both immediate and long-term insights into structural health.The system is engineered to automatically generate alerts via GSM messaging when any health metric, such as temperature or vibration levels, exceeds predefined thresholds. This feature ensures timely intervention, minimizing potential damage and enhancing maintenance efficiency. The incorporation of RFID technology further refines asset management and monitoring precision.Overall, the project seeks to improve the reliability and scalability of structural health monitoring by combining local and cloud-based computing resources. The use of NodeMCU for data transmission to the IoT webserver supports a robust, responsive, and scalable solution for proactive infrastructure management.