Development of IoT-based Headwater Phenomenon Monitoring and Warning System

• Published in: 14th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2024 - Proceedings
• Main Author: Boudville R.; Tapah J.B.M.; Yuzi A.A.F.B.M.; Johan N.A.I.B.A.; Daing M.I.B.; Aliastar N.A.S.B.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207097710&doi=10.1109%2fICCSCE61582.2024.10696835&partnerID=40&md5=116cdddb81c7dfba6da7a181d00ae615

Headwater occurrences are defined by abrupt increases in water velocity and level as well as changes in water clarity. These events can seriously jeopardize infrastructure, human life, and ecosystems. Fatal accidents due to headwater phenomenon often occurs but no serious attention is given to develop headwater monitoring and early warning systems. The goal of this project is to provide a dependable Internet of Things (IoT) tool for headwater monitoring and early warning system. The system uses a pair of water level sensors to detect river water level and the flowrate of the river. The sensors were developed using mechanical micro limit switches as a sensor to monitor water levels. As for the cloud platform, Firebase and Google Sheets were used to store real-time data and automates it with Google Apps Script. LCD displays are used to display offsite warnings, and buzzers are used to deliver on-site alerts. This configuration improves safety by providing users with fast alerts and dependable data processing. It works well in scenarios involving high water levels since it gathers data accurately and notifies users in a timely manner. © 2024 IEEE.