Desenvolvimento de uma arquitetura IOT para sensoriamento de aviários

Abstract

One of the growing trends in the advancement of industry 4.0 is the possibility of querying data in real-time from production systems. Processes can be remotely supervised to make sure parameters are at optimal levels, and have the ability to assess possible failures in operation. This project aims to monitor the main parameters for the proper functioning of a farm: temperature, humidity and luminosity, which has a great impact on the growth and development of animals. An ESP32, microcontroller was used to read these sensors, which collects data and communicates through the WIFI network with the database. A Firebase database will be used to store this data. The data will be displayed to the user through a mobile application developed in React Native, allowing the parameters to be consulted in real-time or in the history of the last 24 hours. Based on these concepts, the system was designed, developed and tested in a controlled environment, resulting in a complete solution for collection, processing, storage and display to the user. The system worked as expected, proving to be a viable solution for realtime monitoring of an industrial farm, bringing better safety, efficiency and greater productivity to the chicken producer.