Health dynamic measurement of tall building using wireless sensor network

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journalNot applicable

12 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Article number23
Pages (from-to)205-216
Journal / PublicationProceedings of SPIE - The International Society for Optical Engineering
Volume5765
Issue numberPART 1
Publication statusPublished - 2005

Conference

TitleSmart Structures and Materials 2005 - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems
PlaceUnited States
CitySan Diego, CA
Period7 - 10 March 2005

Abstract

Health Monitoring is very important for large structures like suspension- and cable-stayed bridges, offshore platforms, tall buildings and so on. Due to recent developments in new sensor systems, wireless communication systems, Internet-based data sharing and monitoring, advanced technologies for structure health monitoring (SHM) have been caused much more attentions, in which the wireless sensor network is recently received special interests. Wireless sensor networks (WSNs) consist of large populations of wirelessly connected nodes, capable of computation, communication, and sensing. In this paper, a wireless sensor networks based health monitoring system for tall buildings has been explored integrated with wireless sensing communication, computation, data management and data remote access via Internet. Firstly, a laboratory prototype was designed and developed to demonstrate the feasibility and validity of the proposed system. Wireless sensor nodes were deployed on a test structure, the data being sensed by the sensor nodes in the network is eventually transmitted to a base station, where the information can be accessed. Through a Wireless Local Area Network (WLAN, IEEE802.11b), the simulated data was transferred among personal computers and wireless sensor nodes peripherals without cables. And then, a Wireless Sensor Network (WSN) includes eight sensor nodes and one base station was installed on Di Wang Tower to verify the performance of the present system in-depth. Finally, comparisons between WSN and cable-based monitoring analytical acceleration responses of field measurement have been performed. The proposed system is shown to be effective for structural health monitoring.

Research Area(s)

  • Structural health monitoring (SHM), Super tall building, Wireless local area network (WLAN), Wireless Sensor Networks (WSNs)