AI-Powered-IoT (AIIoT) based Bridge Health Monitoring using Sensor Data for Smart City Management- A KSK Approach

The incorporation of smart city initiatives with bridge health monitoring marks a big step forward in urban infrastructure management. Cities can ensure the safety and resilience of critical infrastructure while also improving sustainability and increasing citizen engagement by leveraging cutting-edge technologies and real-time data. As metropolitan areas grow and change, the deployment of widespread health monitoring systems will be critical in creating smarter, safer, and more environmentally friendly cities for future generations. Resolving the integration challenges will be critical to realising the full potential of smart city technologies as we move forward. The extraordinarily quick growth of technology has resulted in significant advancements in a wide range of sectors and businesses, notably infrastructure and construction. In recent years, there has been a growing emphasis on making use of the Internet of Things (IoT) for bridge monitoring and maintenance. To improve safety and extend bridge lifespans, a new sector called as "Bridge Health Monitoring through AIIoT" has emerged. Although the notion of monitoring bridge health wasn't novel, the Internet of Things has revolutionised the field. Normative bridge health monitoring depends on manual inspections, which were costly, time-consuming, and frequently delayed the detection of structural problems. The Internet of Things (IoT) enables the installation of sensors on various bridge sections to collect data on temperature, strain, vibration, and corrosion levels. The data is subsequently transferred to a centralised server, allowing for real-time analysis. Any anomalies or possible concerns can be discovered early, and maintenance or repair operations can be arranged accordingly. One of the most significant benefits of an IoT-based bridge health monitoring system is the ability to provide real-time data. This allows for the early detection of any alterations in the bridge's condition and the implementation of essential steps to avoid potential calamities. The system can forecast when a bridge needs maintenance or repairs by gathering and analysing data on a continual basis. The KNN makes choices on bridge usage. For ordinary operations, we keep the water below 48 degrees Celsius and at a depth of 25 meters. During monsoon months such as July and August, the water level surged by more than thirty meters. In addition, the average yearly high in mid-April and mid-May exceeds 48 degrees Celsius. Once a KNN makes a decision, an actuator opens the gate, allowing traffic to use the bridge in smart city planning.