IoT and BIM integrated platform for more efficient infrastructure monitoring and management

Bridge monitoring and maintenance is renowned as a critical priority for governments and stakeholders 
worldwide. Such critical infrastructures play a fundamental role in transportation networks, therefore 
requiring constant monitoring to ensure a correct functioning of these networks, as well as the safety of 
road users. However, carrying out on-site surveys is usually time consuming, and funds are generally 
lacking, especially in the public sector. Therefore, methods to continuously obtain data regarding bridge 
conditions, while correctly storing and managing this information are required ever more by the industry.
Integration of Internet of Things (IoT) technologies into Building Information Modeling (BIM)
environments brings a new dimension to infrastructure monitoring and management by enabling realtime data acquisition, processing, and visualization procedures. Various IoT devices such as
accelerometers, temperature sensors, and environmental sensors can be used to supply the necessary 
stream of data continuously, thus creating a dynamic, holistic view of both structural and operational 
conditions of the analysed assets. All of these can also be integrated into BIM-based Digital Twin 
platforms for monitoring, and to predict needs in maintenance and lifecycle management.
This research addresses the methods for integrating IoT networks into BIM environments, creating an 
adaptive platform that could provide real-time updates and seamless data fusion. IoT sensors provide
localized and network-wide views of infrastructure conditions, including deformation patterns, thermal 
anomalies, and stress distributions. Synchronizing these data streams with BIM models gives 
stakeholders an intuitive and holistic platform for monitoring infrastructure health and planning 
interventions. Furthermore, the research delves into the challenges related to the integration of IoT and 
BIM, such as interoperability among diverse data sources, the continuous updating of BIM models, and 
the scalability of such systems for large-scale adoption. 
Applications using real world data show the potential of this approach in impacting the management of 
critical transportation assets such as bridges and viaducts. IoT-enhanced BIM systems are pathways to 
smarter, more resilient infrastructure networks by allowing proactive maintenance and efficient 
resource allocation. This research highlights the need for industry-wide collaboration in the 
standardization and adoption of such technologies so they can be effectively implemented at a global 
scale.
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