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(1), pp. 144-159. ISSN 0961-3218
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | expert system; fuzzy logic; shm; smart city; wireless sensor network |
| Index terms: | wireless sensor network, fuzzy logic, accuracy, performance evaluation, damages, residential building, building condition, integration, expert system, smart city, radio frequency, energy conservation, impairment, monitoring, vibration, fuzzy inference |
| Subjects: | professional development, decision-making and optimization, construction type, energy systems, data management, performance measurement, computer vision, mechanical systems, communication, control systems, asset management, organizational analysis, health conditions and diseases, data science, urban sustainability, dispute resolution |
| Topics: | Urban Studies, Digital Applications, Quality Management, Research Practice, Business Strategy, Site Management, Health and Safety, Legal Issues, Information Management, Construction Technology, Organizational Design, Engineering Principles, Sustainability |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here