
Design of Automatic Rain Gauge Prototype (ARG) As An Early Warning Indicator for Cold Lava Flood Based on The Internet of Things (IoT)
Author(s) -
Abimanyu,
Laila Katriani,
Didit Darmawan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1805/1/012013
Subject(s) - rain gauge , flood warning , flood myth , lava , computer science , warning system , internet of things , block (permutation group theory) , android (operating system) , geology , embedded system , operating system , telecommunications , geography , radar , mathematics , archaeology , volcano , seismology , geometry
This study aims to design a prototype of automatic rain gauge, characterize the automatic rain gauge, rainfall classification as an indicator of cold lava flood, tested the automatic rain gauge prototype. The design of this tool includes three parts, the first is the reed switch block design. Second, designing an automatic rain gauge block by designing a tipping bucket. The third is designing IoT block and Android applications. The automatic rain gauge prototype was successfully designed with a 0.8 cm reed switch and a tipping bucket with a funnel area of 380 cm 2 with a resolution of 0.1 mm and a maximum capacity of 9.4 mm/minute. The classification of rainfall as an indicator of cold lava flood is normal 0-15 mm, advisory 16-20 mm, watch 21-48 mm and warning > 48 mm, so that the early warning system prototype can display rainfall charts and warning alarms on the android application.