Data Science and Intelligent Computing Techniques
IoT System for Monitoring Sensors’ Data using Arduino Mega WIFI, Firebase, Django, and Nextion HMI Display
Authors: Harsh Chhajed, Devesh Jani, Shaili Joshi and Yashvi Kanani
Publishing Date: 17-10-2023
ISBN: 978-81-955020-2-8
Abstract
The monitoring of environmental gases is crucial for protecting human health and the environment. Manual sampling and analysis are a part of traditional methods of gas monitoring, and they take a lot of time, are expensive, and yield little information. In this paper, we developed a real time Internet of Things (IoT) system with monitoring sensor’s data using Google Firebase. The main components of the developed IoT system consist of: an IoT gateway, four sensor nodes and a real-time Firebase database with a web application for analytics and display of sensor’s data. It addresses the benefits and drawbacks of various sensor types while outlining the fundamentals of gas detection using electronic sensors. Based on Firebase database and using API interface, the website is designed using Django framework of python. Our IoT system also proposes display of the same data on Nextion Basic NX8048T070 7’’ HMI TFT LCD Touch Display.
Keywords
Internet of Things, Firebase, Arduino (Mega WIFI), Django, Nextion Display
Cite as
Harsh Chhajed, Devesh Jani, Shaili Joshi and Yashvi Kanani, "IoT System for Monitoring Sensors’ Data using Arduino Mega WIFI, Firebase, Django, and Nextion HMI Display", In: Satyasai Jagannath Nanda and Rajendra Prasad Yadav (eds), Data Science and Intelligent Computing Techniques, SCRS, India, 2023, pp. 443-454. https://doi.org/10.56155/978-81-955020-2-8-40