Edge Gateway and Zigbee Based SHM of Bridge Using AI

SHM of the bridge is the major issue for finding the condition and life span of the bridge. Recently many bridges have collapsed due to floods and environmental conditions. The up and coming age of extension SHM innovation needs to persistently screen conditions also, issue early alerts before an exorbitant fix or disastrous disappointments. With the assistance of the Internet of Things (IoT), the SHM can be transformed into a real-time monitoring system and the monitoring can be processed from any remote location through the internet. At present cloud computing is integrated with IoT for storing, monitoring, and performing analytics on the data received from the sensor node. In this study, we have proposed the Edge gateway and ZigBeecommunication-based SHM of the bridge. In the case of a bridge, the decision needs to be taken immediately for avoiding the demolition of the bridge. For immediate decisions, we have employed edge computing at the gateway node that performs analytics immediately and gives the necessary action to be undertaken. In this study, we have embedded the Zigbee module in the sensor mote for sensing the distinct parameters of the bridge and communicate them to the edge gateway. Edge gateway performs analytics by applying artificial intelligence techniques for predicting the damage and condition of the bridge and sends the alerts to the cloud server via a Wi-Fi module. From the cloud server, the authorities can access through the web application and mobile application.

Keywords: AI techniques, Edge gateway, IoT, Sensor mote Zigbee module.