INTERNET OF THINGS AND ARTIFICIAL INTELLIGENCE IN INTELLIGENT SYSTEMS: APPLICATIONS IN PREDICTIVE MAINTENANCE, ENERGY MONITORING, AND SMART HOME AUTOMATION

Abstract

The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has fostered the development of intelligent systems capable of optimizing complex processes in various engineering domains. This study aimed to analyze the applications and challenges of integrating IoT and AI, focusing on the pillars of predictive maintenance, energy monitoring, and home automation. This is an integrative literature review guided by the PRISMA 2020 protocol. The search was conducted in the IEEE Xplore, ScienceDirect, Scopus, and Web of Science databases, using the Rayyan platform for systematic screening. After applying eligibility criteria and a rigorous analysis of 831 records, a final sample of 15 contemporary scientific articles was selected. The results suggest that the implementation of the Artificial Intelligence of Things (AIoT) enables a transition from reactive management models to proactive paradigms, resulting in significant gains in operational efficiency and sustainability. It was observed that while predictive maintenance and energy monitoring show greater technological maturity, home automation still appears to face challenges regarding interoperability and security. In conclusion, the effectiveness of these intelligent systems seems intrinsically linked to the robustness of the data architecture, and the development of integrated frameworks is recommended for future research.