Advancing Applied Nonlinear Real-Time IoT System for Disaster-Resilient Dam Management through Water Level Monitoring Systems

Abstract

The nonlinear dynamics of water management in dams are critical to mitigating floods and guaranteeing a long-term water supply for neighboring towns. With the integration of sensor networks, this project seeks to create an advanced monitoring and warning system that can dynamically regulate water levels. By utilizing the Internet of Things (IoT), the system aims to provide flood protection in the neighborhood a nonlinear component. Water levels are closely monitored by a number of sensors, which send out alerts via GSM to allow for prompt communication. Information is effectively sent via the system to the cloud, where application software effortlessly delivers it to users. By using a nonlinear strategy, this project not only satisfies requirements but also serves as a strong safety net, reducing possible losses in the event of major water-related problems.