Monitor de parâmetros e controlador automático de condicionador de ar

Abstract

The Brazilian Federal Government has shown a tendency in recent years to streamline its public accounts, and one of the sectors that suffered reductions were the Federal Institutions of Higher Education (IFES). Associated with the high share of electricity consumption in buildings represented by air conditioning, including in public buildings, the potential for developing this research was identified, which aims to promote energy efficiency through the control of air conditioners installed in administrative room, classrooms, or teacher’s rooms of the institution. With the technological progress of recent years, it was possible to see the evolution of automation in all areas of society, predominantly associated with increased productivity, while measures related to energy efficiency assumed a supporting role. The international literature has evolved for years in technologies related to control and automation, however in Brazil; research in this field still lacks further applications, mainly invested in the state sector. Thus, this work proposes to build a system that can collect data through sensors, from air-conditioned rooms of IFES, aiming at energy optimization through automatic control and also obtaining your environmental data. For this, a case study was developed in a room (postgraduate secretariat) of the Federal University of Mato Grosso do Sul, on the Campo Grande campus. To this end, the methodology used the Raspberry Pi, a low- cost computer that provides an easy-to-connect interface with peripherals, microcontrollers, in addition to split-core current transformer (CT), temperature and pressure, eCO2 and TVOC, particulate matter (PM10 and PM25), motion, open door, temperature and humidity, ambient light sensors. Therefore, hardware, firmware for microcontrollers and software were developed. In addition to the system communication and the database, with the possibility of controlling the air conditioning through an infrared actuator. The results obtained describe the routine of access and presence of people in the implementation environment, as well as data related to temperature, humidity, particulate matter, TVOC, eCO2, current and consumption of the split air conditioner. From the information collected, the control and automation of the air conditioner was carried out, which turned off when events were identified when the door was open for more than three minutes and no movement was detected in the room. In this way, the research provided economic contributions due to the better management and optimization of the electrical energy consumption of the air conditioner and academic contributions that, from the data obtained by the sensors and automation, can be used for other analyzes and future works.