APPLYING DIGITAL TWIN TECHNOLOGY TO MANAGE AND PRESERVE LARGE-SCALE PUBLIC ART INSTALLATIONS
DOI:
https://doi.org/10.29121/shodhkosh.v7.i4s.2026.7461Keywords:
Digital Twin, Public Art Installations, Cultural Heritage Preservation, Internet Of Things Iot, Predictive MaintenanceAbstract [English]
Massive community-based arts projects are important in strengthening cultural identity, urban scenery, and community interaction. But their exposure to the environment and human touch creates difficulties on maintenance, monitoring and long term preservation. The conventional conservation methods tend to be reactive to change, time consuming and resource consuming, which are not conducive in fast changing urban aspects. The paper will recommend an all-encompassing model of using Digital Twin (DT) technology to operate and maintain large-scale art installations in the public sphere. The proposed solution combines the Internet of Things (IoT)-based sensing and real-time data acquisition, 3D digital modeling, cloud and edge computing, and artificial intelligence (AI)-based analytics to produce a dynamic virtual image of physical artworks. The framework allows to constantly monitor environmental and structural parameters, predictive maintenance based on the obtained data, and simulate different scenarios to estimate possible risks. An implementation of a case study shows the potential and efficiency of the system as it has been found that preservation efficiency, cost optimization, and stakeholder engagement are improved. The findings reveal that there is a high level of accuracy in the digital representation, consistency in data synchronization, and high predictive qualities, which confirm the possibilities of digital twin systems in managing cultural assets. Besides, the incorporation of visualization measures like augmented and virtual reality improves accessibility and interaction with users, which are part of the popular culture and information distribution. It also discusses the issues of scalability, standardization, and data security in the study and presents the future research directions. Altogether, the suggested digital twin framework can be viewed as a proactive, scalable, and technologically enhanced approach to sustainable maintenance and management of public art installation in smart cities.
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Copyright (c) 2026 Frederick Sidney Correa, Dr. Renukaben N. Rajput, Tushar Jadhav, Arivukkodi R, Dr. Senduru Srinivasulu, Neelam, Baskaran Kuppusamy
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