Application of Big Data and Internet of Things in the Built Environment: A Bibliometric Review

Abstract

Using big data and internet of things (IoT) technologies is without a doubt growing more and more important on a global basis. The two 4IR components stand out for their innovative methods that might aid organizations in developing high-performing teams and a culture that is performance-focused. Big data platforms offer methods for methodically eliminating data from data arrays that are too intricate to be used in standard data-processing applications. The Internet of Things and big data are used in every sector. The utilization of big data is significantly growing on a global scale. A staggering number of individuals, including architects, contractors, suppliers, and clients, are now involved in the building process. Large data warehouses are mined for information using big data analysis techniques, which then make the information available to all parties involved. With an overview of IoT and big data applications in the built environment, this research aims to tie current trends to them. In order to identify prior studies on IoT and big data in the construction industry, this study did a bibliometric evaluation and looked at the SCOPUS database. In addition, this probe only allowed recovery of documents from the previous 16 months. Papers based on quantitative, qualitative, and literary reviews made up the majority of the contents. The research also revealed that the bulk of articles were published in industrialized countries. Construction is under underway on phases that will largely focus on IoT research as well as an audit and assessment of the expansion of big data applications. The essay also evaluates and discusses recent advancements in the internet of things and big data industries. Data management, storage systems, automation, and retrofitting are the four main clusters of big data and IoT applications, according to the report. It has been shown that there are several potential when big data and IoT are combined. When properly implemented, such solutions provide professionals and other industry participants in the building sector an accuracy of over 90%.