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논문검색

Structural Damage Detection using Wireless Intelligent Sensor Networks

초록

영어

Structural health monitoring (SHM) is the science of assessing the integrity of structures such as buildings, bridges and aerospace structures. SHM systems strive to detect and locate damage in structures as early as possible. Today most automated SHM system has been suggested that wireless sensing can potentially bring about a dramatic reduction in cost by doing away with the cabling cost. Self-organizing dense wireless sensor networks that are cheap and easy to install can potentially bring significant benefits to SHM systems. This paper introduces a wireless sensor network system based SHM, the system includes the self-developed sensor node for SHM and the artificial intelligence routing for data transmission. Using offline processing and online processing methods in artificial intelligence routing, it can discovery backbone for wireless sensor networks with low average dissipated energy and average delay.

목차

Abstract
 1. Introduction
 2. The Wireless Sensor Node Design
 3. Evaluation Systems Setup for SHM
 4. Artificial Intelligence Routing Algorithm
  4.1. Network Backbone Formation
  4.2. Self-organizing Map
 5. Evaluation Experiment Results
 6. Conclusions
 Acknowledgements
 References

저자정보

  • Sai Ji Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, The Aeronautic Key Laboratory for Smart Materials and Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, China, 210016
  • Qingjian Liang Xinzhou Meteorology bureau of Shanxi Province, Xinzhou China 034000
  • Lu Li Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, 219# Ningliu Road, Nanjing, China, 210044
  • Liping Huang Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, 219# Ningliu Road, Nanjing, China, 210044
  • Jin Wang Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, 219# Ningliu Road, Nanjing, China, 210044

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