TY - JOUR
T1 - Development of an internet of things-based weather station device embedded with O2, CO2, and CO sensor readings
AU - Megantoro, Prisma
AU - Al-Humairi, Safaa Najah Saud
AU - Kustiawan, Arya Dwi
AU - Arsalan, Muhammad Rafi Nabil
AU - Prastio, Rizki Putra
AU - Awalin, Lilik Jamilatul
AU - Vigneshwaran, Pandi
N1 - Publisher Copyright:
© 2024 Institute of Advanced Engineering and Science. All rights reserved.
PY - 2024/2
Y1 - 2024/2
N2 - Weather station devices are used to monitor weather parameter conditions, such as wind direction, speed, rainfall, solar radiation level, temperature, and humidity. This article discusses the design of a customized weather station embedded with gas concentration readings, whereby the gas concentration measurement includes oxygen (O2), carbon dioxide (CO2), and carbon monoxide (CO). The measurements and data processing of input sensors were transmitted to an Arduino Uno microcontroller, and the input data were then remitted to Wemos D1 Mini to be uploaded to a cloud server. Furthermore, the gas sensors’ characterization methods were also considered to reveal the obtained results of accuracy, precision, linearity, and hysteresis. An android-based mobile application was also designed for monitoring purposes. The system in our experiment utilized an internet connection with a field station, base station, and database server.
AB - Weather station devices are used to monitor weather parameter conditions, such as wind direction, speed, rainfall, solar radiation level, temperature, and humidity. This article discusses the design of a customized weather station embedded with gas concentration readings, whereby the gas concentration measurement includes oxygen (O2), carbon dioxide (CO2), and carbon monoxide (CO). The measurements and data processing of input sensors were transmitted to an Arduino Uno microcontroller, and the input data were then remitted to Wemos D1 Mini to be uploaded to a cloud server. Furthermore, the gas sensors’ characterization methods were also considered to reveal the obtained results of accuracy, precision, linearity, and hysteresis. An android-based mobile application was also designed for monitoring purposes. The system in our experiment utilized an internet connection with a field station, base station, and database server.
KW - Air quality
KW - Internet of things
KW - Product innovation
KW - Telemetry
KW - Weather station
UR - http://www.scopus.com/inward/record.url?scp=85183634371&partnerID=8YFLogxK
U2 - 10.11591/ijece.v14i1.pp1122-1134
DO - 10.11591/ijece.v14i1.pp1122-1134
M3 - Article
AN - SCOPUS:85183634371
SN - 2088-8708
VL - 14
SP - 1122
EP - 1134
JO - International Journal of Electrical and Computer Engineering
JF - International Journal of Electrical and Computer Engineering
IS - 1
ER -