Abstract
Over the years, the construction industry has been evolving to embrace the delicate balance between buildings and a sustainable environment by optimizing resource use to create greener and more energy efficient constructions. Sustainable building design and optimization is a highly iterative and complicated process. This is mainly attributed to the complex interaction between the different heterogenous but heuristic construction processes, building systems and workflows involved in achieving this goal. Augmented Reality (AR) has rapidly emerged as a revolutionary technology that could play a key role towards improving coordination of sustainable design processes. AR makes possible the real-time visualization of a three-dimensional (3D) building prototype with linked design information in a real-world environment based on a two-dimensional drawing. From past research, it is evident that this technology relies heavily on a common data environment (CDE) that syncs all construction processes with their related building information in one central model. However, due to the fragmented nature of the construction industry, different domain experts generate and exchange vast amounts of heterogenous information using different software tools outside a CDE. This paper therefore investigates the performance gap that exists within Malaysia’s construction industry towards using linked building data (LBD) with AR to improve the lifecycle sustainability of buildings. The results of this study clearly delineate how current construction practices in Malaysia do not favor the use of AR however, stakeholder perception is positive towards adoption of workflows that link heterogenous building data to streamline AR with sustainable building design and construction.
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Mugumya, K. L., Wong, J. Y., Chan, A., & Yip, C. C. (2019). The role of linked building data (LBD) in aligning augmented reality (AR) with sustainable construction. International Journal of Innovative Technology and Exploring Engineering, 8(6 Special Issue 4), 366–372. https://doi.org/10.35940/ijitee.F1074.0486S419
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