Early Warning System for Flood Disasters Using the Internet of Things
Yuyun, Hamka Zulfaesa, Latief Arda Abdul
Available Online 24 November 2020.
- https://doi.org/10.2991/aer.k.201124.002How to use a DOI?
- Flood, Early Warning System, MCU8266, Fuzzy Inference System, HC-SR04
- Floods are one of the most frequently occurring natural disasters in Indonesia. It is therefore of special concern to reduce the risk of flood fatalities and other damage. The purpose of this study is to design a flood early warning system based on the Internet of Things (IoT). In this work, we use an ultrasonic HC-SR04 sensor to collect information about water levels. Further, we use an MCU8266 node as a microcontroller to analyze the sensor data and test it using a fuzzy inference system (FIS). To monitor the server activities, a Blink application is used as an iCloud IoT to hook up to smartphone devices. The test results show that all the devices function properly and that the system can classify water levels into normal, standby, alert, and danger categories in real time. Thus, the server can send information to the output device before a flood disaster occurs.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yuyun AU - Hamka Zulfaesa AU - Latief Arda Abdul PY - 2020 DA - 2020/11/24 TI - Early Warning System for Flood Disasters Using the Internet of Things BT - Proceedings of the International Joint Conference on Science and Engineering (IJCSE 2020) PB - Atlantis Press SP - 8 EP - 12 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.201124.002 DO - https://doi.org/10.2991/aer.k.201124.002 ID - Yuyun2020 ER -