Digital twins for the automation of the heritage construction sector

Lucchi, Elena

doi:10.1016/j.autcon.2023.105073

Cited by 34 publications

(8 citation statements)

References 53 publications

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“…Digital twins can be described as digital copies of existing entities used to predict and adapt the performance of their real counterparts through data acquisition, analysis, and simulation. Digital twins' models have recently emerged as a helpful technological tool in the preservation of cultural heritage [45][46][47][48][49]. Yet, converting a physical cultural activity into its digital representation can also be a useful tool to analyze the behavior and experience outcomes of a museum visitor [48,50].…”

Section: Digital Twins For Simulating Cultural Experiencesmentioning

confidence: 99%

Enhanced Inclusion through Advanced Immersion in Cultural Heritage: A Holistic Framework in Virtual Museology

Anastasovitis,

Georgiou,

Matinopoulou

et al. 2024

Electronics

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In recent years, the digitization of cultural heritage has been favored by significant advancements in specific technologies, such as photogrammetry and three-dimensional scanning. The digital representations of artifacts, paintings, books, and collections, as well as buildings or archaeological sites, has led to the transfer of cultural organizations to the digital space. On the other hand, the rapid development of immersive technologies and the Internet of Things is expected to decisively shape virtual cultural heritage in the coming years. However, this digital transition should expand its impact on most of the population. This article aims to cover the lack of structured methodology in the design and development of inclusive virtual spaces in cultural heritage. This research introduces a holistic framework that is mainly based on the disciplines of virtual museology. The proposed methodology takes into account the advancements in extended reality and the creative industry of computer games. The multisensory approach would lead to advanced immersive experiences, while the multilayered approach of cultural heritage content would enhance accessibility in inclusive virtual spaces. Moreover, this holistic framework could provide evidence from the virtual worlds that could be applied to real cultural heritage organizations.

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Section: Digital Twins For Simulating Cultural Experiencesmentioning

confidence: 99%

Enhanced Inclusion through Advanced Immersion in Cultural Heritage: A Holistic Framework in Virtual Museology

Anastasovitis,

Georgiou,

Matinopoulou

et al. 2024

Electronics

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“…(Li Hongjun 2020) suggests that intangible cultural heritage and folk culture of ancient style can be found everywhere in the temple fair of Taihao Mausoleum, among which various kinds of clay dogs of Huaiyang are very attractive to the attention of tourists. (Li Penghui, Zhou Junliang 2018) Classified Huaiyang Nini dogs into two types: firstly, Nini play works with a single animal archetype as the creative element; everyday Nini play works with animal archetypes such as chickens, monkeys, sheep, and other animal archetypes as the creative element; secondly, not with animal archetypes as the creative element, folk artists added their innovative ideas to create Huaiyang Nini dogs with multiple animal archetypes as the model [3] .…”

Section: Literature Reviewmentioning

confidence: 99%

Design Strategy of Cultural and Creative Tourism Products to Enhance the Brand Value of Huaiyang Nini Dogs under Artificial Intelligence Technology

Wang,

Ghani

2024

Advances in Social Science, Education and Humanities Research

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In recent years, cultural tourism has received widespread attention as a means to promote and protect cultural heritage while stimulating economic growth. This paper explores the direction and strategy of artificial intelligence technology to enhance the brand value of intangible cultural heritage under the design of cultural and creative tourism products by creating Huaiyang Nini You Dogs, an element of China's intangible cultural heritage, as an example.The study first explores the background and significance of cultural and creative tourism product design, emphasizing its role in revitalizing traditional folk culture and attracting tourists. The study uses Huaiyang Nini dogs with rich historical and cultural backgrounds to explore how artificial intelligence technology can help design and promote cultural tourism products.In summary, this paper proposes a comprehensive design strategy that combines elements of intangible cultural heritage with artificial intelligence technology to enhance the brand value of the cultural and creative design of Huaiyang Nini dogs. It emphasizes the importance of preserving intangible cultural heritage, promoting cultural tourism, and fostering economic growth through innovative approaches that contribute to the sustainable development of local communities.

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“…These include, machine learning, digital twins, and the Internet of Things (IoT), and described them as critical components that enhance operations within sustainable building life cycles. Examples of those researchers were, De Wilde [47], Petri [65], Yvan [62], Boje [68], Baduge [71], Adu-Amankwa [72], Lucchi [73], Su [75], Alanne [58], Kineber [59], Boje [86], and Arowoiya [79]. While direct application of AI may be limited, these technologies served as crucial connections that enable effective enhancement of operations.…”

Section: Ai In the Operation Stage Of Sustainable Building Lifecyclementioning

confidence: 99%

“…The success of AI applications in construction depends on the quality and reliability of data used for training and inference [58,73]. Construction projects generate vast amount of data from various sources, including sensors, IoT devices, and historical records [124].…”

Section: Initial Implementation Costs Data Security and Privacy Conce...mentioning

confidence: 99%

Application of Artificial Intelligence (AI) in Sustainable Building Lifecycle; A Systematic Literature Review

Adewale,

Ene,

Ogunbayo

et al. 2024

Preprint

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With buildings accounting for a significant portion of global energy consumption and greenhouse gas emissions, the application of artificial intelligence (AI) holds promise for enhancing sustainability in the building lifecycle. This systematic literature review addresses the current understanding of AI's potential to optimize energy efficiency and minimize environmental impact in building design, construction, and operation. A comprehensive literature review and synthesis were conducted to identify AI technologies applicable to sustainable building practices, examine their influence, and analyze the challenges of implementation. The review was guided by a meticulous search strategy utilizing keywords related to AI application in sustainable building design, construction, and operation. The findings reveal AI's capabilities in optimizing energy efficiency through intelligent control systems, enabling predictive maintenance, and aiding design simulation. Advanced machine learning algorithms facilitate data-driven analysis and prediction, while digital twins provide real-time insights for informed decision-making. Furthermore, the review identifies barriers to AI adoption, including cost concerns, data security risks, and challenges in implementation. AI presents a transformative opportunity to enhance sustainability in the built environment, offering innovative solutions for energy optimization and environmentally conscious practices. However, addressing technical and practical challenges will be crucial for the successful integration of AI in sustainable building practices.

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Digital twins for the automation of the heritage construction sector

Cited by 34 publications

References 53 publications

Enhanced Inclusion through Advanced Immersion in Cultural Heritage: A Holistic Framework in Virtual Museology

Enhanced Inclusion through Advanced Immersion in Cultural Heritage: A Holistic Framework in Virtual Museology

Design Strategy of Cultural and Creative Tourism Products to Enhance the Brand Value of Huaiyang Nini Dogs under Artificial Intelligence Technology

Application of Artificial Intelligence (AI) in Sustainable Building Lifecycle; A Systematic Literature Review

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