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Journal of Tsinghua University(Science and Technology)    2020, Vol. 60 Issue (7) : 566-574     DOI: 10.16511/j.cnki.qhdxxb.2020.26.004
SPECIAL SECTION: ROCK MECHANICS AND ENGINEERING PRATICE FOR LARGE HYDROPOWER STATIONS |
Information model for slope construction in hydropower projects
TAN Yaosheng1, CHEN Wenfu1, GUO Zengguang1, LIN Ende2, LIN Peng3, ZHOU Mengxia1, LI Junping2
1. China Three Gorges Projects Development Co., Ltd., Chengdu 610041, China;
2. Wuhan Ins Engineering Technology Corporation, Wuhan 430071, China;
3. Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
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Abstract  Big data and artificial intelligence methods are combined with information technology methods for engineering construction to develop an information model for slope design during construction of hydropower stations using the BIM technique and an information model. An information model management platform for slope construction was developed for hydropower projects based on intelligent construction theory for sense, analysis, and control with integrated scheduling, quality control and safety management. Results for the construction of the Baihetan Hydropower Project as an example show that the platform provides comprehensive digital management for design results, construction processes and slope construction for large hydropower projects. The system more effectively controls the construction progress, reduces safety risks and provides a comprehensive data archive for the entire slope construction process to improve the construction efficiency and economics.
Keywords hydraulic and hydropower engineering      information model      information management platform      slope construction     
Issue Date: 04 June 2020
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TAN Yaosheng
CHEN Wenfu
GUO Zengguang
LIN Ende
LIN Peng
ZHOU Mengxia
LI Junping
Cite this article:   
TAN Yaosheng,CHEN Wenfu,GUO Zengguang, et al. Information model for slope construction in hydropower projects[J]. Journal of Tsinghua University(Science and Technology), 2020, 60(7): 566-574.
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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2020.26.004     OR     http://jst.tsinghuajournals.com/EN/Y2020/V60/I7/566
  
  
  
  
  
  
  
  
  
  
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