A BIM-Based Approach for Decision Support System in Smart Buildings

Colace, F, Guida, C G, Gupta, B B, Lorusso, A, Marongiu, F and Santaniello, D (2022) A BIM-Based Approach for Decision Support System in Smart Buildings. In: Proceedings of Seventh International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems Book Series, 447 . Springer, pp. 471-481. ISBN 978-981-19-1607-6

Full text not available from this repository. (Request a copy)


Building information model (BIM) is primarily a 3D digital representation of a structure and features such as geometry, spatial relationships, and geographic information to support integrated design. BIM in recent years has evolved from simple 3D to interacting with virtual and augmented reality. Such interaction aims to improve work productivity, home comfort, and entertainment, common Internet of things (IoT) goals. The IoT represents a possible evolution of the use of the Internet in which objects are able to communicate data about themselves and with other devices autonomously. One of the main goals of IoT is to build a digital copy of the real world. Therefore, BIM and IoT can integrate through data acquired in a BIM model; this model can be helpful in predictive analysis as needed. This paper aims to describe a methodology that allows the visualization and representation of data from sensors within the BIM environment to support decisions, sometimes complex, requiring interdisciplinary expertise. The study focusses on a real case study: a scale prototype of a single-family house that includes several sensors capable of producing data that feed a database based on the predictive/decision-making phase developed through machine learning techniques. The proposed methodology integrates an IoT-based platform that allows communication between sensors and Dynamo software to access sensor data, automatically updating the information contained in the BIM model.

Affiliation: Skyline University College
SUC Author(s): Gupta, B B
All Author(s): Colace, F, Guida, C G, Gupta, B B, Lorusso, A, Marongiu, F and Santaniello, D
Item Type: Book Section
Uncontrolled Keywords: Building information model—BIM, Internet of things, Digital twin
Subjects: B Information Technology > BP Internet of Things
Divisions: Skyline University College > School of IT
Depositing User: Mr Veeramani Rasu
Date Deposited: 09 Aug 2022 05:31
Last Modified: 09 Aug 2022 05:31
URI: https://research.skylineuniversity.ac.ae/id/eprint/560
Publisher URL: https://doi.org/10.1007/978-981-19-1607-6_42
Publisher OA policy:
Related URLs:

Actions (login required)

View Item
View Item
Statistics for SkyRep ePrint 560 Statistics for this ePrint Item