2021
DOI: 10.3390/app11073108
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Towards an Occupancy-Oriented Digital Twin for Facility Management: Test Campaign and Sensors Assessment

Abstract: This study focuses on calibration and test campaigns of an IoT camera-based sensor system to monitor occupancy, as part of an ongoing research project aiming at defining a Building Management System (BMS) for facility management based on an occupancy-oriented Digital Twin (DT). The research project aims to facilitate the optimization of building operational stage through advanced monitoring techniques and data analytics. The quality of collected data, which are the input for analyses and simulations on the DT … Show more

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Cited by 50 publications
(28 citation statements)
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“…Some authors (approximately 7%) applied the POE to identify the priority aspects to plan the necessary interventions on the buildings and the obstacles inherent in these works. Some of the studies that were oriented in this direction were [ 71 , 72 , 73 , 74 , 75 ].…”
Section: Resultsmentioning
confidence: 99%
“…Some authors (approximately 7%) applied the POE to identify the priority aspects to plan the necessary interventions on the buildings and the obstacles inherent in these works. Some of the studies that were oriented in this direction were [ 71 , 72 , 73 , 74 , 75 ].…”
Section: Resultsmentioning
confidence: 99%
“…Benefits of Digital Twin to the construction industry (Madubuike et al, 2022), (Akanmu et al, 2021), (Boje et al, 2020), (Khajavi et al, 2019) Emerging technology and trends to support evolution from BIM to Digital Twin (Menassa, 2021), (Chiachío et al, 2022), (Jiang et al, 2022), (Li et al, 2021), (Pan and Zhang, 2021), (Seghezzi et al, 2021), (Tariq et al, 2022), (Zhang et al, 2022), (Almatared et al, 2022), (Deria et al, 2022) Digital Twin knowledge transfer (Elsehrawy et al, 2021) Cybersecurity for Digital Twin (Alshammari et al, 2021) Cyber-Physical System (Alshammari et al, 2021), (Akanmu et al, 2021), (Jiang et al, 2022), (Pregnolato et al, 2022), (Pan and Zhang, 2021), (Yuan and Anumba, 2020) Smart Infrastructure Digital Twin (Broo et al, 2022), (Pregnolato et al, 2022) Simulation (Chiachío et al, 2022), (Yuan and Anumba, 2020), (Zhang et al, 2022) Real-time information exchange (Jiang et al, 2022) Workflow for the development of Digital Twin (Pregnolato et al, 2022), (Pan and Zhang, 2021), (Broo et al, 2022), (Sobhkhiz and El-Diraby, n.d.) The adoption of Digital Twins in the A/E/C/FM industry remains low as compared to other industries. The slow rate of adoption can be attributed to three factors (Madubuike et al, 2022):…”
Section: Research Domain Literaturementioning
confidence: 99%
“…Lu Q et al (2020) explain that this phase covers over 50 years and is complex to manage due to the need for integrated, comprehensive data exchanged by multiple stakeholders. Seghezzi et al (2021) state that this phase proved to be the most expensive of the whole asset life cycle. Thus, efficient space management according to occupancy flows, considering users' behavior in addition to the needs for supplies and services have strong impacts on building usability, causing resource waste and an increase in management, operational, and maintenance costs if inadequately managed (Bosch et al, 2014;Lindkvist, 2015;Nical and Wodynski, 2016).…”
Section: Smart Campus and Asset Managementmentioning
confidence: 99%
“…Thus, efficient space management according to occupancy flows, considering users' behavior in addition to the needs for supplies and services have strong impacts on building usability, causing resource waste and an increase in management, operational, and maintenance costs if inadequately managed (Bosch et al, 2014;Lindkvist, 2015;Nical and Wodynski, 2016). Hence, a dynamic and intelligent AMS based on the principles of IM can support decision-making processes and provide a more comfortable environment along with reduced costs (Qiuchen Lu et al, 2019;Lytras and Visvizi, 2021;Moretti et al, 2021;Seghezzi et al, 2021). Nonetheless, the O&M phase still lacks a holistic system to manage information spread in several databases (Qiuchen Lu et al, 2019;Moretti et al, 2021), particularly relevant in smart campuses.…”
Section: Smart Campus and Asset Managementmentioning
confidence: 99%