Navegando por Assunto "IoT (Internet of things)"

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. Sistema de monitoramento de vazão de água utilizando tecnologia LoRA
(Universidade Federal do Pará, 2024-12-17) CASTRO, Jucicleber Francisco da Silva; BORGES, Gilvan Soares; http://lattes.cnpq.br/7696860178450119; COSTA, João Crisóstomo Weyl Albuquerque; http://lattes.cnpq.br/9622051867672434
The discussion on the rational use of water has gained worldwide momentum in recent years. The United Nations (UN) treats the issue with due priority, including it in its Sustainable Development Goals (SDG 6). Brazil, in turn, is striving to adhere to this context with the implementation of the new regulatory framework for the sanitation sector, enacted in 2020. Despite the well-deserved importance given to sanitation in recent years, there is a need to invest resources in the area in order to achieve the adequate social reach of water for all, where the absence of these policies in isolated and socially excluded regions is latent. Technologically, within this scenario, it is possible to envision the Internet of Things (IoT) as an important differentiator to be used as a social inclusion technology through the application of low power wide area networks (LPWAN), with LoRa technology standing out as one of the most promising for building communication networks aimed at IoT applications. This work aims to meet this demand through a proposal for water flow sensing using LoRa networks, as a subsequent case study in isolated communities in future work. This proposal for a water flow monitoring system is based on an architecture involving the installation of a digital ultrasonic hydrometer at a water collection point for data collection and real-time monitoring. The bench tests involving the installation of the hydrometer were carried out with the initial aim of communicating with the LoRa-ESP32-Wi-Fi v2 module. With the data collected, it was possible to transmit it to a broker server using MQTT protocol that is consumer for a dashboard that was build using a Node-RED for water consumption monitoring analysis, making it easier to identify leaks and develop strategies to reduce losses when implementing the prototype.