Open AccessDesign & Implementation of Solar Powered Automatic Weather Station based on ESP32 and GPRS Module
Author(s) -
A S Priambodo,
Andri Prima Nugroho
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 - 10.1088/1742-6596/1737/1/012009
Subject(s) - general packet radio service , timer , anemometer , real time computing , cloud computing , weather station , wind speed , computer science , mode (computer interface) , environmental science , microcontroller , automotive engineering , meteorology , computer hardware , engineering , telecommunications , operating system , physics , wireless
The fundamental aim of this project is to develop a solar-powered automatic weather station (AWS), which can be accessed via the website. Users can find out the weather changes in an area without needing to come to the area and can do an analysis of irrigation water needs. This design uses ESP32 as main processor. The measure weather parameters include temperature and humidity using HDC1080 sensor, wind speed using an anemometer sensor, wind direction using a wind vane sensor, air pressure using BME280, rainfall using a tipping bucket sensor, and the last small solar panel for irradiance sensor. AWS has two working modes, normal and maintenance mode. During maintenance mode, sensor data will be displayed on a local website that can be accessed via a wifi network broadcasted by ESP32. In normal mode, the ESP32 will send sensor data to the cloud using SIM800L GPRS Module. The system proposed is also designed to have a feature to log sensor data locally in SD card. Watchdog timer circuit uses timer 555 implemented in this project for the recovery system from the failure process. Power sources are limited, so the system must be put into deep-sleep mode state when not processing data. Data transmission is carried out periodically with an interval of 5-6 minutes. Test results show that the sending of sensor data can be received by the cloud with an acceptance rate of up to 98%.