Research and Computer Aided Design of Information System for Public Sector Using Database System and Digitization

Author(s):  
Nian Mou ◽  
Hao Luo
2012 ◽  
Vol 446-449 ◽  
pp. 3529-3533
Author(s):  
Ruo Qi Xu ◽  
Hua Peng ◽  
Deng Rong Zhang ◽  
Chu Dong Huang ◽  
Ying Hao Li ◽  
...  

Ancient architectures have always been of great interest to a variety of studies. In this analysis, the distribution of ancient architectures in Taizhou, Zhejiang Province is investigated. In each area of the distribution, the characteristic of the ancient architectures are recorded, such as story number, building materials, construction time, etc. The various types of information are then input into a GIS (Geographic Information System) database, which also contains some typical images of the ancient architectures. Some of the data are from GoogleEarth or archived CAD (Computer Aided Design) files. Consequently, the distribution and characteristic of ancient architectures are analyzed consulting the GIS map and attribute table. Although the ancient architectures are similar in Taizhou, Zhejiang Province, there exist some notable differences. The commonness and differences would be significative for the preservation and planning for ancient architectures.


2016 ◽  
Vol 14 (4) ◽  
pp. 307-321 ◽  
Author(s):  
Earl Mark ◽  
Zita Ultmann

The pairing of computer-aided design and geographical information system data creates an opportunity to connect an architectural design process with a robust analysis of its environmental constraints. Yet, the geographical information system data may be too overwhelmingly complex to be fully used in computer-aided design without computer-assisted methods of filtering relevant information. This article reports on the implementation of an integrated environment for three-dimensional computer-aided design and environmental impact. The project focused on a two-way data exchange between geographical information system and computer-aided design in building design. While the two different technologies may rely on separate representational models, in combination they can provide a more complete view of the natural and built environment. The challenge in integration is that of bridging the differences in analytical methods and database formats. Our approach is rooted in part in constraint-based design methods, well established in computer-aided design (e.g. Sketchpad, Generative Components, and computer-aided three-dimensional interactive application). Within such computer-aided design systems, geometrical transformations may be intentionally constrained to help enforce a set of design determinants. Although this current implementation modestly relates to geometrical constraints, the use of probabilistic risk values is more central to its methodology.


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