Komal Khadotra, Sandeep Raj
(2024) Vol. 02, No. 01, pp. 30-35
ABSTRACT
This paper introduces a conceptual framework leveraging Internet of Things (IoT) technology for continuous monitoring of road bridge health. Traditional methods, reliant on periodic inspections, often result in delayed detection of structural issues and potential risks of unexpected failures. In contrast, our framework integrates a network of sensors across bridge structures to autonomously monitor critical parameters such as vibrations, stress levels, temperature variations, and displacement dynamics. Data collected from these sensors is transmitted wirelessly to a centralized platform for real-time analysis using advanced data analytics and machine learning algorithms. This approach enables early detection of anomalies and deviations from normal operating conditions, facilitating proactive maintenance strategies to mitigate risks and prolong the lifespan of bridge infrastructure. By proposing scalable and cost-effective solutions, this conceptual framework aims to advance bridge management practices worldwide, prioritizing safety and sustainability in infrastructure monitoring.