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.
