Трансформация на музейния фасилити мениджмънт: от автоматизация (BMS) към прогнозен анализ чрез изкуствен интелект (AI)
Transformation of Museum Facility Management: from Automation (BMS) to Predictive Analytics via Artificial Intelligence (AI)
Author(s): Stefan PetkovSubject(s): Museology & Heritage Studies, Library and Information Science
Published by: Институт за знание, наука и иновации ЕООД
Keywords: Facility Management; Artificial Intelligence (AI); Museums; BMS; Energy Efficiency; Predictive Maintenance; Cultural Heritage
Summary/Abstract: This article explores the evolution of building management technologies in the context of cultural heritage preservation. While traditional Building Management Systems (BMS) provide reactive control of microclimate and security, the advent of Artificial Intelligence (AI) and the Internet of Things (IoT) enables a transition to proactive and predictive facility management. The aim of the research is to analyze how AI algorithms can leverage BMS data to predict failures, optimize energy costs in real-time, and personalize the visitor experience. Based on a comparative analysis of contemporary museum practices and the author's previous studies, the article proposes a conceptual model for „Smart Museum 4.0,” applicable to the modernization of cultural institutions
Journal: Сборник доклади от научна конференция „Знание, наука, иновации, технологии”
- Issue Year: 1/2026
- Issue No: 1
- Page Range: 990-1004
- Page Count: 15
- Language: Bulgarian
