DESIGN AND IMPLEMENTATION OF IOTA BASED NETWORK WITH ACCELERATION SENSORS FOR STRUCTURAL HEALTH MONITORING

The long term security and safe maintenance of the buildings is the primary goal for individuals and organizations.The early damage detection and safety of the structures can be enhanced by Real-time monitoring. In this paper, a novel IoT (Internet of things) based structural health monitoring system for Real-time monitoring and damage detection is presented. The implemented system consists of three-dimensional acceleration sensors, LoRa (Long range) wireless links, gateways, a database, and a central processing unit. The proposed system has a star topology which means that the groups of the acceleration sensors are connected to gateways via LoRa wireless links, while the gateways are connected to the network server via TCPIP connections. The implemented acceleration sensors feature a 200 Hz sampling rate (200 samples per second) and a dynamic range more than 100dB. The sensors data are transmitted by LoRa communication module. Therefore, the installation and maintenance costs of the system are reduced. LoRa is one of the predominant LPWANs (low-power wide-area network) in recent years, due to its low complexity and use of unlicensed Industrial Scientific and Medical (ISM) bands. The novel solution for problems, such as data processing, data extraction, synchronization, modeling, and accuracy are presented. This paper presents a comprehensive study of SHM using the implemented system. The required information of the structure, such as modal properties and power spectral density are obtained and analyzed. As a result, the Real-time damage detection are obtained and analysed in detail. In this study, a three-story building model is used to examine the efficiency of the proposed system. The proper operation of the system is verified with experimental measurement. It is expected that the proposed LoRa based network of acceleration sensors can be used for structural health monitoring of the buildings on a massive scale.

Keywords:

3D Acceleration sensor , Damage detection , Internet of things , LoRaWAN , Structural health monitoring