HINAGUIMITAN RIVER FLOOD MONITORING SYSTEM
Brgy. San Pedro, Sison, Surigao del Norte
HINAGUIMITAN RIVER FLOOD MONITORING SYSTEM
Brgy. San Pedro, Sison, Surigao del Norte
Our project offers a user-friendly online platform for monitoring river conditions. Using NodeMCU microcontrollers and sensors, we collect and visualize data like temperature, water level, and humidity, aiding residents and researchers in understanding and monitoring river behavior for safety.
The primary purpose of this system is to provide flood monitoring along the Hinaguimitan and Surigao River. It aims to provide real-time data on water levels, temperature, and humidity, enabling early flood monitoring, informed decision-making, and improved flood preparedness. The system also offers a centralized database for historical analysis and trend monitoring, supports future research endeavors, and promotes community awareness through its user-friendly interface. This comprehensive IoT-based approach addresses the limitations of traditional methods, ultimately enhancing safety and resilience for communities residing near the river.
The system operates through a series of integrated steps. First, NodeMCU microcontrollers equipped with environmental sensors collect real-time data on water level, temperature, and humidity at strategic points along the river. This data is then transmitted wirelessly to a centralized database via Wi-Fi, ensuring continuous data flow. The database stores both real-time and historical data for analysis. The system integrates this database with a user-friendly website, providing easy access and visualization of the data. The website features interactive graphs and parameter readings, empowering users to monitor river conditions in real-time and analyze historical trends. Additionally, users can download historical data for further research and analysis.
While the system cannot directly prevent flooding, it plays a crucial role in early warning. Real-time monitoring of water levels and weather conditions enables the identification of potential flood risks. This information allows authorities and residents to take timely precautions, such as evacuations or the implementation of flood mitigation measures, minimizing damage and loss.
Yes! The system's open-source nature and modular design intentionally encourage expansion and collaboration. We envision future upgrades encompassing the integration of additional sensors for broader environmental monitoring and expanding the sensor network for greater coverage. We welcome contributions from other developers and researchers to help realize the system's full potential for community safety and research.
