Open AccessConstruction of 3d Model of Complex Geological Structure Deposits under Big Data
Author(s) -
Xinyu Xue,
Mingli Bi,
Li Cai-hong,
Guoqiang Chen
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/740/1/012204
Subject(s) - graphics , computer science , data structure , construct (python library) , big data , visualization , constraint (computer aided design) , geology , tin , data mining , mining engineering , computer graphics (images) , geometry , mathematics , programming language , materials science , metallurgy
The traditional mining hand-drawn graphics were slow, inefficient, and the use of two-dimensional CAD graphics to display three-dimensional space was obviously not strong, and it was easy to misunderstand. To this end, a three-dimensional model of complex geological structure deposits under big data was constructed, and a complex geological structure deposit database was established to provide diversified information; CD-TIN technology was used to generate one-time constraint TIN, for saving time in fabricting; Extracting the structure of the deposit and standardizing the original geological map to construct a three-dimensional model of the complex geological structure deposit under the big data; Through experimental research and analysis, the proposed three-dimensional model of complex geological structure deposits under the big data realized the establishment and visualization of the deposit model, which was highly feasible, improved the speed and efficiency of the deposit space model, and had high definition with an increase of 38% over traditional methods.