Smart Infrastructure: Leveraging IoT and AI for Predictive Maintenance in Urban Facilities

Abstract

The high in-migration of the urban population has augmented the pressure on the infrastructure systems to be resilient, efficient and endure, and sustainable. Reactive or time-based traditional maintenance activities, which lack real-time visibility, do not support the complexity of the present day urban facilities. The transformative infrastructure Smart infrastructure based on combining Internet of Things (IoT) and Artificial Intelligence (AI) provides a transformative solution to anticipatory maintenance. IoT sensors, interconnected to each other, and by using advanced analytics, gather real-time information on structure, energy and environmental metrics, whereas AI models use the collected data to predict possible failures in advance. This is a predictive solution which minimizes downtime of operations, maximizes the useful life of the assets that are critical, economizes cost and increases the safety of the people. Still, factors like risk of cyber-security, extensive implementation charges, and administration of data are forbidding impediments on broad use. To respond adequately to these issues, it is necessary to have effective policy frameworks, cross-sector cooperation, and digital capacity-building investments. Via the interconnection of the technology and governance and urban planning, smart infrastructure has proven to have the capacity of redesigning maintenance approaches to revolve around sustainable and resilient urban environments in the future.