Data-Oriented Predictive Maintenance for Museum Buildings: A Case Study of Hamedan’s Sacred Defense Museum Garden Using Digital Twins
سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 67
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شناسه ملی سند علمی:
CENAF02_041
تاریخ نمایه سازی: 20 فروردین 1403
چکیده مقاله:
proposes a data-oriented predictive maintenance (PdM) framework for museum buildings, using digital twins to monitor and optimize their condition. Museum buildings are a precious cultural heritage that needs special care, but they face many problems in their maintenance, such as high costs, low efficiency, and complex data management. The framework uses technologies like building information modeling, deep learning, machine vision, the Internet of Things, and blockchain to address these problems and improve the maintenance process. The paper uses Hamedan's Sacred Defense Museum Garden as a case study and describes the design, implementation, and evaluation of the framework. The paper also discusses the results, implications, limitations, and future directions of the research. The paper shows that the framework can reduce costs and risks, increase sustainability and efficiency, create and manage detailed digital models, secure and verify data transactions, and consider ethical and social aspects of PdM and digital twins for museum building maintenance. The paper is consistent with previous studies on PdM and digital twins and has important implications for museum building maintenance and cultural heritage preservation.
کلیدواژه ها:
data-oriented predictive maintenance ، digital twins ، museum buildings ، cultural heritage ، Hamedan’s Sacred Defense Museum Garden.
نویسندگان
AmirHossein Dalir
Master of Project Management and Construction: College of Civil and Development Engineering, Hamedan University - PhD student of Construction Engineering Management, Islamic Azad University, Science and Research Branch
Ali Moradi Pasand
Master of Architecture, Tabriz University of Art, Faculty Member of College of Civil and Development Engineering, Hamedan
Zahra Pezeshki
Faculty of Electrical and Robotic Engineering University of Technology Shahrood, Semnan, Iran
Hadiseh Kamran Kasmai
Islamic Azad University, Pardis Branch: Iran
Mohammad Jafari Fesharaki
Ph.D. in Project and Construction Management, University of Tehran: Iran