Sistema de monitoreo y análisis energético de acondicionadores de aire mediante aplicación móvil

Abstract

In Ecuador, the growing demand for air conditioners has increased energy consumption, generating significant economic and environmental impacts. Despite advancements in regulations aimed at improving energy efficiency, there is still a need for technological solutions that enable effective real-time monitoring, particularly in the residential and industrial sectors. This project aims to develop an intelligent monitoring and predictive maintenance system for air conditioners, capable of recording energy consumption, calculating real-time costs, and predicting potential failures through machine learning. The proposed solution will include a cloud-based platform to monitor energy consumption and its costs, along with a mobile application to visualize this data in real time and receive alerts about abnormal behaviors or demand spikes. This system will not only improve energy efficiency but also reduce operating costs and prevent potential equipment failures, as evidenced by TIA company, where power outages and voltage fluctuations have increased maintenance costs and the risk of system failures in their air conditioning system. This development will contribute to energy savings, improve the competitiveness of companies by optimizing energy use, and facilitate environmental sustainability, thus supporting Ecuador's efforts to align with international energy efficiency standards. Additionally, it will enable more efficient management of electricity consumption, benefiting both businesses and consumers in the context of an increasingly demanding energy market. Keywords: Energy monitoring, energy efficiency, predictive maintenance.