@inproceedings{c52ef573490544528181dd3491c173cb,
title = "The Development of Internet of Things (IoT) Preventive and Predictive Maintenance Solutions for Building Management",
abstract = "The current economic and competitive realities in the business sector need the development of solutions that may assist organizations in drastically lowering their operating costs. Even if energy prices are high and companies are always seeking for methods to cut them, environmental sustainability must be considered to avoid losing out on that element as well. Thus, the firm{\textquoteright}s efforts are focused on reducing energy consumption while maintaining essential environmental factors such as air quality, carbon dioxide levels, and humidity levels. The ultimate objective of these techniques is to find the most efficient ways to use available energy in heating, ventilation, and air conditioning (HVAC) systems, which use 30–50% of the energy in buildings. The present project will perform real case studies on the evolution of technologies in fault detection and rectification for effective energy usage and auditing. With this, the research study will perform a critical analysis of the IoT technologies and models used in building management. The goal is to discover regularly utilized preventative maintenance techniques and practices for HVAC systems using IoT technology. Furthermore, the research project will look at the effect of carbon footprint on energy use for facility management.",
keywords = "Building management, Internet of Things, Predictive maintenance, Preventive maintenance",
author = "Tang, {W. F.} and Li, {C. H.} and MAK, {Shu Lun} and Lee, {C. C.} and Stephen Lam",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; World Conference on Smart Trends in Systems, Security, and Sustainability, WS4 2023 ; Conference date: 21-08-2023 Through 24-08-2023",
year = "2024",
doi = "10.1007/978-981-99-7569-3_22",
language = "English",
isbn = "9789819975686",
series = "Lecture Notes in Networks and Systems",
pages = "259--270",
editor = "Nagar, {Atulya K.} and Jat, {Dharm Singh} and Durgesh Mishra and Amit Joshi",
booktitle = "Intelligent Sustainable Systems - Selected Papers of WorldS4 2023",
}