Cloud Architecture For IOT Based Bridge Monitoring Applications

Autor: Sairam Neridu, Venkat Surendar Talari, Prafulla Kalapatapu, Visvesh Naraharisetty, Venkata Dilip Kumar Pasupuleti
Rok vydání: 2021
Předmět:
Zdroj: 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI).
DOI: 10.1109/icetci51973.2021.9574044
Popis: Structural Health Monitoring (SHM) is becoming an important research topic to improve human safety and to reduce maintenance costs. However, most of the existing SHM systems face challenges performing at real-time due to environmental effects and different operational hazards. Therefore, the Internet of Things (IoT) can be used, which would provide flexibility to monitor structures (building, bridge) from anywhere. AWS is a cloud computing platform used to connect IoT devices and store or analyze their data. In this paper an architecture is described to enable monitoring applications on a cloud computing platform AWS. However, IoT is the network of physical object devices, vehicles, buildings and other items embedded with electronics, sensors, and network connectivity-that enables objects to collect and exchange data. IoT allows objects to be sensed and controlled remotely across existing network infrastructure. Sensors (accelerometers) use Xbee protocol to send data to nodes (raspberry pi), then to the cloud using messaging protocols. The objective of the work demonstrates the architecture to carry out data collection, analysis, visualization of sensor data using AWS services that results in development of live monitoring standalone web interface.
Databáze: OpenAIRE