Internet of Things-Based Temperature Tracking System

The work described in this paper consists of a temperature tracking system that follows a Client-Server architecture. A Raspberry Pi, a System-on-a-Chip (SoC) device, is responsible for sensing the temperature and streaming it to a server, the readings then are displayed in a mobile android application. For this system, a python application was developed to sense and stream the temperature, a servlet was developed to read and store the temperature in a SQLite database, and a mobile Android application was developed to read and display the temperature readings from the server. The initial versions of the project used the SoC device as a server (storing temperature readings into a local SQLite database), and both the SoC device and the mobile device needed to be connected in a local area network. However, the project was further developed to separate the server responsibilities from the SoC device. The system now supports user authentication, and both devices are connected through the Internet. This implementation allows the temperature readings to be viewed and displayed anytime from anywhere in the world since the database is hosted on a server which can be accessed over the internet. Also, this solution allows multiple SoC devices to stream temperatures to the server, to different mobile clients using the same database. The Android client application was also implemented to graphically show the temperature readings recorded by Raspberry Pi using Restful architecture. Moreover, an alert message notification was implemented in Android application so that a user is notified whenever the temperature reading reaches the preset threshold. On the other hand, the smart chair system has brilliant commercial prospects, which can be helpful to build health care products with the help of wearable sensors, intelligent refrigerator/oven temperature tracking system and etc.