Solução de IoT analytics para sensores ambientais.

Abstract

In a world where concerns about the environment and public health are on the rise, the need for environmental monitoring systems is increasingly pressing. Environmental sensors are essential in this scenario, collecting a variety of metrics that reflect environmental conditions, including air quality, temperature, humidity, and atmospheric pressure. The solution proposed in this study aims to collect, analyze, and visualize real-time and historical data, providing a more complete understanding of environmental conditions and enabling the implementation of preventive measures. Using open-source tools and a container-based approach, together with the principles of a microservices architecture, the solution seeks to improve the efficiency and accuracy of environmental monitoring. This solution can serve as a replicable model for similar challenges in other areas or contexts that require real-time data processing and analysis. This study presents an IoT Analytics solution for environmental sensors, focused on monitoring environmental metrics. The effectiveness of this solution was proven in the state of Acre, through a comparative study that tested it against an existing solution.