Wireless Sensor Network Based Crack Detection on Concrete Bridges/Buildings
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2018 by IJETT Journal|
|Year of Publication : 2018|
|Authors : Afsana A, Anbarasi S, Deepa P,Ghaveya R, Murugesan D
|DOI : 10.14445/22315381/IJETT-V57P211|
Afsana A, Anbarasi S, Deepa P,Ghaveya R, Murugesan D, "Wireless Sensor Network Based Crack Detection on Concrete Bridges/Buildings", International Journal of Engineering Trends and Technology (IJETT), V57(2),54-58 March 2018. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
As wireless smart sensor networks (WSN) and Geographical Information Systems (GIS) are evolving nowadays, applications of remote monitoring in wide spread geographical areas are becoming cost-effective and possible. An example of such applications is the structural health status monitoring of highway bridges that connect roads in both rural and urban areas. Many of these bridges are subject to deterioration due to external and internal factors. Online, real-time structural health monitoring is a resourceful complimentary tool to facilitate rapid field inspection. Bridge maintenance and infrastructure managers can easily use this application to safeguard the performance and safety of these vital structures. This paper presents an autonomous wireless sensor network system to monitor structural health in highways bridges. Analysis of testing results and comparisons with existing monitoring systems are also discussed. Operators can access the bridge real-time data through mobile phone. The system is cost effective and user –friendly.Advancements in micro-electromechanical-systems made it feasible to deploy low-cost, self-configuring wireless sensor networks to monitor an area of interest with fine granularity. Due to its commercial potential, monitoring of large public buildings is a significant emerging application area for wireless sensor networks. Wireless sensor networks can be deployed to monitor the response of structures to strain and ambient vibration (e.g., wind, earthquakes), monitoring and controlling of indoor environment (e.g., lighting, heating, air quality), and helping in extreme event response (e.g., detecting congested exits, finding safe routes during an evacuation). Here we provide a brief summary to investigate the feasibility of monitoring large public buildings using wireless sensor networks, and list some of the open research problems in this domain.
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WSN, Raspberry pi, MEMS, Vibration sensor, GSM