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Agee, P, Gao, X, Paige, F, McCoy, A and Kleiner, B (2021) A human-centred approach to smart housing. Building Research & Information, 49(01), 84–99.

Erişen, S (2021) Incremental transformation of spatial intelligence from smart systems to sensorial infrastructures. Building Research & Information, 49(01), 113–26.

Fettermann, D C, Borriello, A, Pellegrini, A, Cavalcante, C G, Rose, J M and Burke, P F (2021) Getting smarter about household energy: the who and what of demand for smart meters. Building Research & Information, 49(01), 100–12.

Fu, Y and Zhu, J (2021) Trusted data infrastructure for smart cities: a blockchain perspective. Building Research & Information, 49(01), 21–37.

Ihm, S, Lee, H, Lee, E and Park, Y (2021) A policy knowledge- and reasoning-based method for data-analytic city policymaking. Building Research & Information, 49(01), 38–54.

Kang, L, Liu, S, Zhang, H and Gong, D (2021) Person anomaly detection-based videos surveillance system in urban integrated pipe gallery. Building Research & Information, 49(01), 55–68.

Lee, Y L and Lee, Y (2021) Developing an autonomous psychological behaviour of virtual user to atypical architectural geometry. Building Research & Information, 49(01), 69–83.

Nuhu, B K, Aliyu, I, Adegboye, M A, Ryu, J K, Olaniyi, O M and Lim, C G (2021) Distributed network-based structural health monitoring expert system. Building Research & Information, 49(01), 144–59.

  • Type: Journal Article
  • Keywords: Wireless sensor network; expert system; fuzzy logic; SHM; smart city;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2020.1854083
  • Abstract:
    Structural Health Monitoring (SHM) is a process of detecting damages to engineering structures. The goal of SHM is to improve both the safety and reliability of infrastructures such as buildings, bridges, and highways. Several efforts have been made to develop improved SHM systems. However, most of these studies only considered vibration as a monitoring parameter without incorporating expert systems based on fuzzy inference. In this work, an expert system was incorporated into SHM for monitoring residential buildings based on building temperature and vibration measurements. The developed system used a Wireless Sensor Network (WSN) with a 2.4 GHz Radio Frequency (RF) band. Results of the system performance evaluation indicated a decrease in reliability from 99% to 50% within a decade of its deployment. In terms of energy conservation, results showed that the system was able to save 30% of energy, thereby increasing its lifetime. The fuzzy expert SHM system is able to detect building conditions with a good level of reliability, energy conservation capability and high accuracy of 94.4% and 100% as the least and best performance, respectively. Hence, direct integration of this system into building structures could aid early detection of building impairment.

V E, S, Shin, C and Cho, Y (2021) Efficient energy consumption prediction model for a data analytic-enabled industry building in a smart city. Building Research & Information, 49(01), 127–43.

Valks, B, Arkesteijn, M H, Koutamanis, A and den Heijer, A C (2021) Towards a smart campus: supporting campus decisions with Internet of Things applications. Building Research & Information, 49(01), 1–20.