Bibliographic details and abstracts are available to all. Downloads of full-text dissertations are restricted to University of Portsmouth members who must login. MPhils may be accessed by all.

Abstract

In general, the use of Building Information Management (BIM) in the creation of smart buildings, together with digital technologies like the Internet of Things (IoT) and Big Data, has the potential to provide a solution for challenges the sector is facing with efficiency, reliability, and cost. Additionally, the implementation of smart buildings with cutting-edge technology in a sustainable future setting is driven by the pressing need to reduce carbon emissions, improve security, enhance user experience, and generate vast amounts of data.

The research methodology used in this study included a thorough examination of the literature to build a conceptual framework and the development of questionnaires to validate the framework. The results of this study demonstrate how BIM, along with IoT and Big Data technologies, can enable smart building operation and maintenance to maximise the performance of the building. These also highlight the BIM functions to meet the smartness of the building and to raise the standard of living. The results of the study illustrate the advantages of incorporating cutting-edge technologies into smart buildings.

Technology advancements make it possible to use BIM, the Internet of Things (IoT), and big data to create smart buildings. As a result, the best possible management of the data produced by the real-time connections between IoT sensors enhances both human well-being and building lifespan. The major goal of this research is to identify, investigate, and clarify the developments in technology integration that can be able to improve performance of the building in smart buildings. Research is important in order to develop a strategy for dealing with the AEC sector's need to transition to a smart and advanced mode over its entire life cycle.

Course: Building Information Management - MSc - P2657FTC

Date Deposited: 2023-02-13

URI/permalink: https://library.port.ac.uk/dissert/dis14090.html