A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment

Xinghua Gao, Pardis Pishdad-Bozorgi, and Dennis R. Shelden
Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience
With the networks of sophisticated sensors and devices, building systems have the potential to serve as the infrastructure that provides essential data for the Internet of things (IoT)-enabled smart city paradigm. However, current building systems lack inter-system connectivity or exposure to the larger networks of IoT devices. In this paper, we propose a scalable data acquisition framework for the smart built environment—smart buildings, smart communities, and smart cities—that enables the utilization of the data housed in separate building systems for innovative IoT use cases, by understanding IoT stakeholders’ common data needs from buildings and identifying the overlaps between the data protocols used by different building systems. An architecture of IoT-enabled smart cities based on this data acquisition framework is also demonstrated.