Predictive Maintenance for Monitoring Heritage Buildings and Digitization of Structural Information
B. Narendra Kumar Rao1, B. Bhaskar Kumar Rao2, Nagendra Panini Challa3

1Dr. B. Narendra Kumar Rao, Department of Computer Science and Engineering from University of Madras, M.Tech in Computer Science from JNTU, Anantapur, Ph.D. from JNTUH, Hyderabad. (Telangana), India.
2B. Bhaskar Kumar Rao, Assistant Professor from Department of IT, Sree Vidyanikethan Engineering College, A. Rangampet. (A. P.), India.
3Nagendra Panini Challa, Assistant Professor from Department of CSE, SCSVMV. He has done his M. Tech in Department of CSE from JNTU Kakinada and B.E from SCSVMV. (Tamil Nadu) India.

Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1463-1468 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6618068819/19©BEIESP
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Abstract: India has rich cultural heritage and supported by large number of monuments or buildings with different rare architectures. In this regard, there is a need to protect this heritage information by digitizing them. Digitized information to be rendered to restore its glory virtually. There is a need to monitor the health information of these monuments and any decline in health of these constructions can be recorded by using the advanced sensors and computing environments connecting them. Above and beyond, data analytics can be used to predict and prevent further damages to them and can be resurrect appropriately.
Keyword: Digitization, Building Information Modeling, Sensors, Predictive Maintenance.
Scope of the Article: Structural Engineering.