Building information modeling applied to the industrial architectural monuments case study of saint petersburg

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Abstract

Development and implementation of information models of spatial objects affect broadest application areas currently. Building Information Models (BIMs) are now becoming extremely popular. These models are able to describe a great number characteristics of building or engineering construction, including physical and functional properties, economic parameters, visual parameters, etc. BIM use is introduced currently as the mandatory aspect of building life cycle management, from design and construction to demolition. However, implementation of the BIM concept into the reconstruction, restoration and conservation of historical and cultural heritage remains the least developed domain. Therefore, research and development activities concerned with HBIMs (Historical Building Information Models) are particularly relevant. Saint Petersburg being the second largest Russian city has a huge number of architectural monuments, while industrial architecture composes a special category of these monuments. We provided a number of research and development activities devoted to the 3D information modelling of industrial architectural monuments located in St. Petersburg. Context of these works was established by the reconstruction and adaptation of these monuments to modern needs. 3D models of buildings were produced basing on results of the laser scanning and photogrammetric survey. Basing on our work, we have formalized main approaches to design and implementation of Building Information Models of the industrial architectural monuments.

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APA

Soonwald, E. S., Wojnarowski, A. E., Tikhonov, S. G., Artemeva, O. V., & Tyurin, S. V. (2019). Building information modeling applied to the industrial architectural monuments case study of saint petersburg. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (Vol. 42, pp. 59–63). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-archives-XLII-5-W2-59-2019

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