A Scalable Approach for Dynamic Evacuation Routing in Large Smart Buildings

2019 ◽  
Author(s):  
Van-Quyet Nguyen ◽  
Huu-Duy Nguyen ◽  
Quyet-Thang Huynh ◽  
Nalini Venkatasubramanian ◽  
Kyungbaek Kim
Keyword(s):  
Smart Buildings ◽  
Evacuation Routing

Control Strategies of Electrical Power on Smart Buildings, a Review

2015 ◽  
Vol 10 (6) ◽  
pp. 764 ◽  
Author(s):  
José Álvarez-Alvarado ◽  
Mario Trejo-Perea ◽  
Maria de los Ángeles Herrera-Arellano ◽  
José Gabriel Ríos-Moreno
Keyword(s):  
Control Strategies ◽  
Electrical Power ◽  
Smart Buildings

Accuracy analysis of BLE beacon-based localization in smart buildings

2021 ◽  
pp. 1-20
Author(s):  
Rosen Ivanov
Keyword(s):  
Use Case ◽  
Accuracy Analysis ◽  
Localization Algorithm ◽  
Computing Power ◽  
Smart Buildings ◽  
Localization Accuracy ◽  
Positioning Systems ◽  
Deployment Strategy ◽  
Accurate Localization ◽  
Localization Algorithms

The majority of services that deliver personalized content in smart buildings require accurate localization of their clients. This article presents an analysis of the localization accuracy using Bluetooth Low Energy (BLE) beacons. The aim is to present an approach to create accurate Indoor Positioning Systems (IPS) using algorithms that can be implemented in real time on platforms with low computing power. Parameters on which the localization accuracy mostly depends are analyzed: localization algorithm, beacons’ density, deployment strategy, and noise in the BLE channels. An adaptive algorithm for pre-processing the signals from the beacons is proposed, which aims to reduce noise in beacon’s data and to capture visitor’s dynamics. The accuracy of five range-based localization algorithms in different use case scenarios is analyzed. Three of these algorithms are specially designed to be less sensitive to noise in radio channels and require little computing power. Experiments conducted in a simulated and real environment show that using proposed algorithms the localization accuracy less than 1 m can be obtained.

scholarly journals Editorial: smart buildings

2021 ◽  
Vol 13 (1) ◽  
pp. 1-3
Author(s):  
Francis Siu ◽  
Daniel Chan ◽  
Derek Clements-Croome ◽  
Tong Yang
Keyword(s):  
Smart Buildings

scholarly journals BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review

2021 ◽  
Vol 11 (15) ◽  
pp. 6810
Author(s):  
Corentin Coupry ◽  
Sylvain Noblecourt ◽  
Paul Richard ◽  
David Baudry ◽  
David Bigaud
Keyword(s):  
Academic Research ◽  
Facility Management ◽  
Information Modeling ◽  
Application Framework ◽  
Remote Collaboration ◽  
Smart Buildings ◽  
Digital Twin ◽  
Industrial Sectors ◽  
M Phase ◽  
Building Information

In recent years, the use of digital twins (DT) to improve maintenance procedures has increased in various industrial sectors (e.g., manufacturing, energy industry, aerospace) but is more limited in the construction industry. However, the operation and maintenance (O&M) phase of a building’s life cycle is the most expensive. Smart buildings already use BIM (Building Information Modeling) for facility management, but they lack the predictive capabilities of DT. On the other hand, the use of extended reality (XR) technologies to improve maintenance operations has been a major topic of academic research in recent years, both through data display and remote collaboration. In this context, this paper focuses on reviewing projects using a combination of these technologies to improve maintenance operations in smart buildings. This review uses a combination of at least three of the terms “Digital Twin”, “Maintenance”, “BIM” and “Extended Reality”. Results show how a BIM can be used to create a DT and how this DT use combined with XR technologies can improve maintenance operations in a smart building. This paper also highlights the challenges for the correct implementation of a BIM-based DT combined with XR devices. An example of use is also proposed using a diagram of the possible interactions between the user, the DT and the application framework during maintenance operations.

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