Supervisión de la calidad de aire en ambiente cerrado usando tecnología embebida.

Abstract

curricular integration work is based on the design of a system of a network of MQ -13 5 sensor nodes controlled by ESP32 microcomputers, connected to the Arduino cloud and supported by a Python application, will allow live monitoring of the most important indicators on air quality in an automotive workshop in Guayaquil. The central objective is based on analyzing air quality in a closed environment using national and international standard data tables that allow generating danger alarms if any parameter falls outside the regulations. An electrical and electronic system is developed to measure the parameters to measure air quality. The methodology will be done using a combined method. In the first stage, a detailed examination of books and rules on air quality, MQ -1 35 sensors, IoT microcontrollers and cloud spaces will be conducted. Next, the sensor network will be created: important locations will be chosen within the workshop, the MQ-135s will be adjusted with gas models, and the ESP32s will be programmed to receive and send data via MQTT.