Dam Monitoring and Alerting System in Real Time via Integrated IoT Platforms Using LoRaWAN Technology

Dam Monitoring and control in remote areas is one of the most difficult things in times of flood. The LPWAN technologies have paved ways to connect and control devices using the LoRaWAN (Long Range Wide Area Network) technologies. Internet of Things (IoT) connects a variety of platforms and software designed to augment IoT device functionality in various areas. These platforms functions effectively in specific tasks within their domains. This study explores the integration of automation platforms with key elements like "Things Network" for LoRaWAN connectivity and data monitoring, "Data Cake" for downlink command, IFTTT for notification and "ThingSpeak" for data visualization. This also represents different methods for connecting these automation-based IoT platforms and studies their efficiency and performance in dam monitoring and flood alerting system. This study will bring in understanding of IoT technologies and platforms, unveiling their potential applications in Dam monitoring that are in remote areas.