Abstract
The results are presented of the first phase of a research project on the application of spatial modeling techniques to the process of planning and executing the construction of a nuclear power plant. A computer modeling technique, based on sets of polyhedra and spatial operations, was developed and applied to modeling the components of a nuclear power plant. The objectives of the modeling are: to store and retrieve information about the various systems in the facility; to produce drawings of those systems from any angle in differing amounts of detail; to aid in the search for interference among the parts of the plant by identifying those elements that occupy the same space or are too close to each other; to calculate information such as surface area, length, and volume of selected elements of the plant; and to aid in finding the optimum construction sequence by simulated construction of selected areas of the plant. Computer techniques are described for inputting information by digitizing directly from engineering drawings, for editing the spatial model, for management of the spatial and non-spatial data, and for graphic output from the model. The software is implemented on the University's central time-sharing computer system and on a mini-computer system in the Architectural Research Laboratory.
- 1 Hoskins, E.M., "OXSYS: An Integrated Computer-Aided Building System for the Oxford Method", Proceedings of the International Conference on Computers in Architecture, 1972.Google Scholar
- 2 Borkin, H.J., Turner. J. A., Architectural Computer Graphics System Users Manual, Architectural Research Laboratory, The University of Michigan, Ann Arbor, Michigan, 1975.Google Scholar
- 3 Childs, D.L., "Extended Set Theory", Third International Conference on Very Large Data Bases, Tokyo, Japan, 1977.Google Scholar
- 4 Braid, I., Design with Volumes, Computer-Aided Design Group, University of Cambridge Computer Laboratory, England, 1972.Google Scholar
- 5 Baumgart, B.G., "Winged-Edge Polyhedron Representation", Standford Artificial Intelligence Project Report No. CS-320, 1972. Google ScholarDigital Library
- 6 Fastman, C., "General Purpose Building Description System", Computer Aided Design, 8:1, pp. 17-16, January 1976.Google ScholarCross Ref
- 7 Turner, J.A., An Efficient Algorithm for Doing Set-Operations on Two- and Three-Dimensional Spatial Objects, unpublished paper, Architectural Research Laboratory, The University of Michigan, Ann, Arbor, Michigan, 1978.Google Scholar
- 8 Turner, J.A., Three-Dimensional Polyhderon on Set Routines Programmers Manual, Architectural Research Laboratory, The University of Michgan, Ann Arbor, Michigan, 1977.Google Scholar
- 9 Turner, J.A., Two-Dimensional Polygon Routines Programmers Manual, Architectural Research Laboratory, The University of Michigan, Ann Arbor, Michigan, 1976.Google Scholar
- 10 McIntosh, J.F., doctoral dissertation work in progress, The University of Michigan, Ann Arbor, Michigan.Google Scholar
- 11 Date, C.J., An Introduction to Database Systems, Addison-Wesley, Reading, Mass., 1975. Google ScholarDigital Library
Index Terms
The development of three-dimensional spatial modeling techniques for the construction planning of nuclear power plants
Recommendations
The development of three-dimensional spatial modeling techniques for the construction planning of nuclear power plants
SIGGRAPH '78: Proceedings of the 5th annual conference on Computer graphics and interactive techniquesThe results are presented of the first phase of a research project on the application of spatial modeling techniques to the process of planning and executing the construction of a nuclear power plant. A computer modeling technique, based on sets of ...
The Extraction of Snow Cover Information Based on MODIS Data and Spatial Modeler Tool
ETTANDGRS '08: Proceedings of the 2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing - Volume 01The snow cover, which is an important component of the climatic system and a main indicator factor of the global change, will affect temperature, precipitation and other climatic factors. Remote sensing technologies introduce a potential scientific ...
A weighted multivariate spatial clustering model to determine irrigation management zones
Highlights- A new method to determine management zones for irrigation.
- Weights assigned to ...
AbstractManagement of agricultural fields according to spatial and temporal variability is an important aspect of precision agriculture. Precision management relies on division of a field into areas with homogeneous characteristics, management ...
Comments