The Application of BIM in the “China Beautiful Rural” Design Project–Yangyou Village River Ecological Landscape Reconstruction Design Project

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Abstract

As the urbanization process continues to deepen, the scale of construction projects is getting larger, and the different involved fields are more complicated. The construction industry is also facing a severe test while it is developing rapidly. As the most sought-after application technology in the area of engineering construction, BIM is receiving more and more attention and practice. Today, the application of BIM technology in architecture has matured, but the application in landscape design is still in the exploration stage. BIM technology mainly emphasizes the complete life cycle of planning, design, construction, completion operation, and demolition and update, the construction information of each stage is built into 3D virtual through the structure of 3D information model. Utilize BIM’s information model to enable data to be shared and serve as a platform for collaboration among professional consultants to effectively control engineering costs, schedule engineering, reduce cost of waste due to design or construction errors, and improve construction quality. The construction information can be extended to the property management stage after completion. BIM can effectively solve the traditional engineering interface complex and harmonized 2D diagram which is difficult to clearly state the 3D space, the information of each stage of the construction life cycle is difficult to transmit and other shortcomings effectively. This paper will try to analyze the application prospect of BIM technology in landscape design from several aspects. Through the case study of “Yangyou Village River Ecological Landscape Reconstruction Design Project,” BIM has significantly provided the benefits for more scientific design and application.

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Wei, X., Bonenberg, W., & Zhou, M. (2020). The Application of BIM in the “China Beautiful Rural” Design Project–Yangyou Village River Ecological Landscape Reconstruction Design Project. In Advances in Intelligent Systems and Computing (Vol. 966, pp. 135–145). Springer Verlag. https://doi.org/10.1007/978-3-030-20151-7_13

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