Sistema de monitoreo y análisis de parámetros de máquinas de acondicionamiento de aire

Abstract

This degree work presents the development of a prototype monitoring system for air conditioning equipment, with the aim of offering precise information in real time about its operation. This initiative seeks to benefit the community of the Salesiana Polytechnic University. The system allows you to analyze and monitor pressure, humidity and temperature variations, facilitating decision-making to optimize performance, thus reducing equipment risks. In addition, it is intended that this system serve as an academic resource for future research, improving the understanding of the operation of air units through the integration of advanced technologies. The prototype is based on an IoT platform, a technology that is increasingly popular in homes and businesses due to its ability to offer efficient solutions. The Raspberry Pi, which is the core of the system, allows for efficient programming and dynamic management of power consumption. The Wi-Fi connection allows the system to transmit precise data in real time. The HVAC system, which includes ventilation, refrigeration, heating and humidity control, is monitored using advanced sensors that allow variables such as: temperature, and internal and external humidity to be measured, without the need for direct exposure of workers. The setup process includes installing a microSD card with the operating system on the Raspberry Pi and activating the sensors via the 12C bus. In addition, platforms such as Thingspeak and Thingview are used to visualize and analyze the monitored variables, which improves the remote supervision of air conditioning equipment.