TCC

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https://repositorio.ufob.edu.br/handle/123456789/139

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Navegando TCC por Autor "Macedo, Vinicius Neves"

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    IoT system for monitoring the performance of a water spray evaporative cooler
    (Universidade Federal do Oeste da Bahia. Centro Multidisciplinar de Bom Jesus da Lapa, 2026-05-20) Macedo, Vinicius Neves
    Abstract. Climate adversities at Brazil's semi-arid drive the search for solutions to mitigate its impacts. Bom Jesus da Lapa faces temperatures exceeding 40°C and low relative humidity, conditions that intensify thermal discomfort in urban spaces. To address this challenge, a water spray cooling system based on direct evaporative cooling was developed. To validate the system’s efficiency, this study aimed to construct a data acquisition system alongside a robust sensor network around the cooling device to monitor the environment affected by water spray, collecting data on temperature, humidity, wind speed/direction, and spray pressure. This research proposes a high-density sensory measurement system capable of validating the cooling device as a solution for urban thermal comfort. The work details the designed IoT monitoring system, emphasizing instrumentation and precise recording of sensory data. The instrumentation integrated 25 SHT31 temperature and humidity sensors (24 radially positioned around the system and 1 external reference sensor), a cup anemometer, a wind direction indicator, and a pressure transmitter. Data acquisition was ensured by two microcontrollers: an Arduino UNO, responsible for reading the pressure sensor, and an ESP32, tasked with communicating with digital/anemometric sensors and Wi-Fi transmission. Both were integrated into dedicated printed circuit boards. Management of the 25 SHT31 sensors was managed by two I²C multiplexers (TCA9548A). The SHT31 sensors were protected against moisture and solar radiation, with calibrations ensuring data reliability (±0.2°C for temperature and ±2% for humidity). Data, collected every 10 seconds on the Arduino and 3 seconds on the ESP32, were transmitted via HTTP GET to a spreadsheet using Google Apps Script. The system demonstrated efficiency in data organization and transmission, even under direct sunlight and ambient temperatures exceeding 45°C. The monitoring system stood out for its low cost (due to dual addressing of digital sensors) and scalability (enabled by I²C multiplexers).