Este artigo apresenta o desenvolvimento de um sistema capaz de medir CO2 de forma autônoma in situ, baseado no uso da plataforma NodeMCU e do sensor MH-z19. Um App em tecnologia Blynk foi desenvolvido para exibir os dados de concentrações de CO2 em ppm com pontos de coletas georreferenciados, essas informações foram guardadas em um digital cloud. Foi realizado um experimento para determinar a concentração de CO2 em ruas movimentadas de Belém – PA, os resultados apresentaram a Av. Almirante Barroso como a via com maiores níveis de dióxido de carbono.

This article addresses the development of a sensory platform capable of measuring temperature, relative humidity, and carbon dioxide. The system is based on concepts of an IoT (Internet of Things) platform using the ESP8266 microcontroller connected to DHT21 and CSS811 sensors, the power system has lithium batteries. An App (Application) in Blynk technology was used to display the collected information and georeferenced the data, which in turn are stored in a digital cloud. Two experiments were carried out to determine the environmental quality in a forest and urban area within Belém, showing the quality of the developed system and the influence that trees have on air quality in relation to carbon dioxide and thermal comfort. Furthermore, a reformulation of the urban public transportation system must be employed, enabling it to be used in an efficient and less polluting way, since transportation is the leading emitter of pollutants that contribute to the greenhouse effect and aggravates factors related to public health. The description of the developed device allows its reproducibility and has as main differentials: optimized power system, possibility of integration with renewable energies, low cost platform; connection with several sensors; easy programming and operation; internet access and, last but not least, low cost.

Environmental monitoring is an effective tool to identify problems in anthropic areas, and the emergence of cyber-physical sensors contributes to technological advances in the area. This paper introduces a device based on the Arduino cyber-physical platform to monitor air temperature and relative humidity in real-time with high efficiency. With the relationship between these two environmental variables, it will be possible to calculate the Heat Index (CI), the Temperature and Humidity Index (ITU), the Effective Temperature Index (ET), and the Thermal Discomfort Index (IDT). The Datalogger developed is easily programmable and easy to assemble and presented stable operation and proper functioning.

Previsão da demanda de potência residencial utilizando redes neurais artificiais