Integrating Environmental Monitoring and Structural Health: A IoT-Based and Mobile-Oriented Decision Support System for Early Alerting

The integration of Internet of Things (IoT) technologies and data analysis has revolutionized remote monitoring. However, challenges persist in adapting solutions for widespread situational awareness and field-based decision support, especially in structural health monitoring and critical infrastructure assessment. This paper presents a mobile-oriented end-to-end software framework that leverages IoT measurements to provide immediate access to precise and well-structured information, including scientific plots, alongside early alerting capabilities. Notably, the employed structural analysis algorithms operate exclusively on experimental measurements, requiring minimal calibration effort. A comprehensive prototype has been developed utilizing cutting-edge client-server technologies and targeting Android-based devices. Experimental validation has underscored the system's efficacy across various IoT applications and domains, with particular emphasis on monitoring and processing high-frequency measurements (e.g., tri-axial accelerometers), facilitating structural health alerting for a bridge located in southern Italy