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知识引导的桥梁建造过程时空叙事 三维可视化方法.

Authors :
朱 军
赖建波
谢亚坤
陈佩菁
孙文锦
Source :
Geomatics & Information Science of Wuhan University. Sep2024, Vol. 49 Issue 9, p1650-1660. 11p.
Publication Year :
2024

Abstract

Objectives: Accurately describing and understanding the bridge construction process is of great significance to students' learning and field personnel's fine management. However, the bridge construction process involves a large number of objects, complex behaviors, and variable states, which leads to problems such as poor standardization and low cognitive efficiency in expression. Methods: This paper proposes a knowledge-guided three-dimensional visualization method of spatiotemporal narrative of bridge construction process. First, we construct a bridge construction knowledge map with "object-behavior-state" three-domain association by analyzing the bridge construction process, then break through the key technologies of narrative element analysis and matching, 3D scene mapping and instantiation, and 3D dynamic visualization of spatiotemporal narrative. Finally, we develop a prototype system and carries out case study experimental analysis. Results: The results show that the correct rate of answering questions in the experimental group reaches 76.5%, which is 13.2% higher than that of the control group; under the comprehensive perspective of clarity, richness and comprehension difficulty, 78.8% of the personnel in the experimental group have good cognitive experience, which is 45.5% higher than that of the control group. Conclusions: By accurately describing the bridge construction objects, features and interrelationships, the unified expression and association management of bridge construction knowledge map is realized, and based on this, the three-dimensional dynamic visualization expression of the bridge construction process is carried out by using spatiotemporal narratives, which effectively enhances the education level of bridge construction process cognition with the help of interactivity and immersion of three-dimensional scenes. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
16718860
Volume :
49
Issue :
9
Database :
Academic Search Index
Journal :
Geomatics & Information Science of Wuhan University
Publication Type :
Academic Journal
Accession number :
179996490
Full Text :
https://doi.org/10.13203/j.whugis20230239