Abstract
Latest innovations in Internet of Things (IoT) technologies as well as the new paradigms in Artificial Intelligence systems are opening up opportunities to create smart computing infrastructures for the Healthcare Facility Management. However, the current scenario of hospital buildings maintenance management is strongly characterized by slow, redundant, and not integrated processes, which lead to loss of money, resources, and time. On the other hand, lack of data and information in as-built digital models considerably limits the potential of Building Information Modelling in Facility Maintenance Management. Consequently, optimization of data collection process and management is required. In this light, this paper presents a review of embedding AI (Artificial Intelligence) in BIM-IoT integration for the process of healthcare Facility Maintenance Management (FMM) in order to conquer the current challenges. The first challenge in front of integrating IoT– BIM, is the lack of information; the second challenge is BIM’s sematic information that has not been able to display indoor conditions’ elements which should be reconsidered; and the third challenge is the data size which is stored in systems as well as the eligibility of individuals to apply the related data. Additionally, some emerging trends in IoT are reviewed such as the combination of Machine Learning and Artificial Intelligence in order to exploit their advantages and complement their limitations, which enable new promising IoT applications.
Highlights
Within the last three decades, continuous waves of technological advancements have presented a new industrial revolution in the construction sector, a so-called Industry 4.0
This paper presents an integrated approach to embed Artificial Intelligence (AI) in Internet of Things (IoT) applications and Building Information Modelling for Healthcare Facility Maintenance Management in hospitals buildings, and is organized as follows: (a) an overview on Healthcare Facility Maintenance Management and the impact of digitalization and innovative technologies; (b) a definition of research scope and process; (c) a comprehensive content analysis of scientific databases on AI, IoT and BIM with an integrative approach in healthcare facility maintenance management (HFMM); (d) discussion and conclusion
Applying the collected data from IoT sensors and Artificial Intelligence devices, this paper aims to address the integration between BIM–IoT and FMM to provide a literature analysis on embedding Artificial Intelligence in BIM–IoT for healthcare facility maintenance management improvements, and define future research directions on HCFMM improvements by applying Artificial Intelligence in new technologies
Summary
Within the last three decades, continuous waves of technological advancements have presented a new industrial revolution in the construction sector, a so-called Industry 4.0. The construction sector has been markedly slower to digital conversion levels and as a result, Internet of Things (IoT) and Building Information Modelling (BIM) can play significant roles in shaping the so-called revolution (Hossain & Nadeem, 2019). This paper presents an integrated approach to embed AI in IoT applications and Building Information Modelling for Healthcare Facility Maintenance Management in hospitals buildings, and is organized as follows: (a) an overview on Healthcare Facility Maintenance Management and the impact of digitalization and innovative technologies; (b) a definition of research scope and process; (c) a comprehensive content analysis of scientific databases on AI, IoT and BIM with an integrative approach in healthcare facility maintenance management (HFMM); (d) discussion and conclusion. Compared to different phases of the construction such as initiation, planning, implementation and design, there is a huge gap of research on utilizing novel technologies in maintenance, monitoring, operation, as well as the closing stages of a building life cycle (Wong, Ge, & He, 2018).
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