Power-Efficient Wireless Sensor System for Structural Health Monitoring

Abstract

Diagnosis of structures that require high stability is an important engineering issue to manage structures safely such as bridges, factories dealing with ultra-precision machinery, and nuclear power plants. This paper presents a service model for structure health monitoring (SHM) based on power-efficient sensors and shows real implementation case. The proposed system is composed of a low-power sensor node that collects meaningful diagnosis signals such as vibration, displacement, strain rate, and temperature in real time and server software that performs comprehensive safety diagnosis by analyzing the data received from them. The overall architecture of the proposed system was implemented in compliance with the oneM2M standard, a widely used industry standard for the Internet of Things (IoT), and real-time performance and accuracy were verified through experiments.