IoT Integration for Predictive Maintenance in Hospitality

This article is a research report that investigates the integration of Internet of Things (IoT) technology into predictive maintenance within the hospitality industry. It discusses a case study focusing on hotel deployment, highlighting how IoT sensors facilitate real-time monitoring and early fault detection, which ultimately reduces the need for costly repairs and unplanned downtime. The report outlines the advantages of predictive maintenance over traditional methods, emphasizing cost reductions, improved resource management, and extended service life of critical infrastructure. It further reviews data analysis techniques and machine learning algorithms that enhance predictive accuracy. The findings indicate that IoT significantly improves the reliability and longevity of hospitality assets, contributing to operational savings and enhanced guest experiences. The report also presents objectives including a comparison of predictive maintenance with conventional methods, energy consumption metrics analysis, and recommendations for broader adoption of IoT in hospitality infrastructure.