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IoT weather data acquisition and automation system.
- Source :
- AIP Conference Proceedings; 2024, Vol. 2986 Issue 1, p1-9, 9p
- Publication Year :
- 2024
-
Abstract
- The paper "IOT WEATHER DATA ACQUISITION AND AUTOMATION SYSTEM" deals with presenting a smart device in terms of real-time accumulation of data and automation. The core intention is to make life easier and hassle-free. From agriculture drones to the defense, real-time data is feeding in every sector of industry to make everything automated, more susceptible, and sustainable. Data can be further studied to bring out meaningful insights from them. Right on the track, the prototype is capable of visualization of data through the internet on many platforms in the form of GUI (Graphical User Interface). This prototype uses some sensors like DHT11, MQ135, BMP280, Soil moisture, and Flame sensor. 38% Humidity, 32.3 Temperature reading provide by the DHT11 during the test. BMP280 sensor shows their readings in graphical format. 9% moisture present in the soil, noted during the test through the soil moisture sensor. 8% of Hard Particles are present in the atmosphere and the Lux value was 89.167 noted during the test with the help of MQ135 and Light Intensity sensor. A flame sensor also used in the prototype gives the warning. When it senses the flame, and it increases the safety. All data are represented through interactive graphs and plots that are easy to interpret. In addition, this data is stored in the cloud platform. Which are further fetched into platforms like MATLAB, Simulink, and excel sheets for further analysis. Simply connecting to the internet, can get their data from anywhere in the world through the API ports and are supported in many channels like Thing Speak and Arduino IoT cloud. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2986
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 175549533
- Full Text :
- https://doi.org/10.1063/5.0195741