Abstract

Triangulated irregular network is a frequently-used digital terrain model which is used to fit the continuous distribution phenomenon, it could reduces the data redundancy when the terrain is comparative flat and could commendably reserves the elevation characters of terrain character point. Based on the above-mentioned characters, this paper analyzes and improves the constructing algorithm of non-restraint triangulated irregular network and the embedded approach of constraint conditions, provides a kind of computational method which is used to compute the strip mine earthwork calculation based on constrained triangulated irregular network. a experiment system, which auto-complete the update of the strip mine relief map and earthwork calculation with the discrete elevation point, is developed by using the VBA development tool of AutoCAD. Digital Terrain Model (DTM) is the digital modeling method that aims at the geometrical feature of earth's surface. And it is a simple statistical presentation to the continue surface with large numbers of coordinate points in random coordinate field. DTM is the simple mathematical expression to the surfer. There are a lot of methods to model DTM, they could be classified mathematical description and graphic description, Triangulated Irregular Network (TIN), Grid and contour are three typical methods of graphic description (1). Thereinto, TIN is not only suitable for the regular data, but also suitable for the irregular data. Compared with Grid, TIN expresses the continuous variation of the more complicated surfer terrain environment with less operation time and storage space, especially; TIN could exactly expresses the special tectonic landforms. Therefore, TIN has more extensive application space (2). Based on the analysis of constructing algorithm of TIN and combined with the existing survey and mapping technique of Strip Mine, this paper provided the method of strip mine earthwork calculation based on Constrained Triangulated Irregular Network. An experiment system is expatiated to validate the method's feasibility and the result's veracity.

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