Back to Search Start Over

A framework for integrating BIM and IoT through open standards.

Authors :
Dave, Bhargav
Buda, Andrea
Nurminen, Antti
Främling, Kary
Source :
Automation in Construction. Nov2018, Vol. 95, p35-45. 11p.
Publication Year :
2018

Abstract

Abstract The built environment provides significant opportunities for IoT (Internet of Things) deployment, and can be singled out as one of the most important aspects for IoT related research. While the IoT deployment in the built environment is growing exponentially, there exists a gap in integrating these two in a systematic way through open standards and systems. From technological perspective, there is a need for convergence of diverse fields ranging from Building Information Systems and Building Services to Building Automation Systems, and IoT devices and finally the end user services to develop smart, user oriented applications. This paper outlines the efforts to develop a platform that integrates the built environment data with IoT sensors in a campus wide, web based system called Otaniemi3D that provides information about energy usage, occupancy and user comfort by integrating Building Information Models and IoT devices through open messaging standards (O-MI and O-DF) and IFC models. The paper describes the design criteria, the system architecture, the workflow and a proof of concept with potential use cases that integrate IoT with the built environment. Initial results show that both the end users and other research groups can benefit from such platforms by either consuming the data in their daily life or using the data for more advance research. Highlights • It is Important to integrate built environment data with internet of things (IoT). • A framework using open standards is proposed to tackle this. • A proof of concept built on the framework is provided. • A real-life use case demonstrate the usefulness of the framework. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09265805
Volume :
95
Database :
Academic Search Index
Journal :
Automation in Construction
Publication Type :
Academic Journal
Accession number :
131663650
Full Text :
https://doi.org/10.1016/j.autcon.2018.07.022