Dijital Restorasyon Üzerine Bir Literatür İncelemesi: HBIM, Yapay Zekâ ve Sanal Gerçeklik ile Tarihi Binaların Korunması

Year 2025, Volume: 9 Issue: 2, 210 - 214

Dilan Kakdaş Ateş , Sevilay Akalp

Abstract

Bu çalışma, Tarihi Bina Bilgi Modellemesi (HBIM), yapay zekâ (YZ) ve sanal gerçeklik (VR) entegrasyonuna odaklanarak tarihi binaların dijital korunmasına ilişkin kapsamlı bir literatür incelemesi sunmaktadır. Tarihi yapılar; doğal afetler, insan ihmali, savaşlar ve çevresel bozulma gibi etkenler nedeniyle sürekli tehdit altındadır. Geleneksel koruma yaklaşımları değerli olmakla birlikte, zaman verimliliği, maliyet etkinliği ve erişilebilirlik açısından çoğu zaman yetersiz kalmaktadır. Özellikle HBIM’in dahil olduğu dijital araçların entegrasyonu, doğru belgeleme, çevresel etkinin simülasyonu ve veriye dayalı karar verme süreçlerini mümkün kılarak çok boyutlu bir çözüm sunmaktadır. Akademik makaleler ve vaka çalışmalarının nitel içerik analizi yoluyla, bu araştırma dijital koruma yöntemlerinin mevcut uygulamalarını, avantajlarını ve sınırlılıklarını belirlemektedir. Bulgular, HBIM, YZ ve VR’nin birleşiminin kültürel miras koruma projelerinin sürdürülebilirliğini ve erişilebilirliğini artırdığını göstermektedir.

Keywords

HBIM , Yapay Zeka , Sanal Gerçeklik , Dijital Restorasyon , 3 Boyutlu Modelleme

A Literature Review on Digital Restoration: Preservation of Historic Buildings with HBIM, Artificial Intelligence and Virtual Reality

Abstract

This study presents a comprehensive literature review on the digital preservation of historic buildings by focusing on the integration of Historic Building Information Modeling (HBIM), artificial intelligence (AI), and virtual reality (VR). Historic structures are under continuous threat from natural disasters, human negligence, wars, and environmental decay. Traditional preservation approaches, though valuable, often fall short in terms of time efficiency, cost-effectiveness, and accessibility. The integration of digital tools—particularly HBIM—offers a multidimensional solution, enabling accurate documentation, simulation of environmental impact, and data-driven decision-making. Through qualitative content analysis of scholarly articles and case studies, the research identifies current practices, benefits, and limitations of digital preservation methods. Findings suggest that the convergence of HBIM, AI, and VR enhances the sustainability and accessibility of cultural heritage conservation projects.

Keywords

HBIM , Artificial Intelligence , Virtual Reality , Digital Preservation , 3D Model.

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