Safety Analysis of the Folk Activity "Bench Dragon" Based on Motion Modeling
DOI:
https://doi.org/10.54097/evhqp984Keywords:
Bench Dragon, Archimedean Spiral, Newton Iteration Method, Bisection Method.Abstract
The protection of folk culture is not only a respect for history and tradition but also an important measure to promote social development, cultural inheritance, and economic prosperity. This paper focuses on the traditional local folk cultural activity of the "Bench Dragon" found in the Zhejiang and Fujian regions, investigating the most reasonable motion of each segment of the dragon body under specific spatial constraints and dragon body length. We establish corresponding mathematical models for the conditions of the dragon body entering and exiting, as well as collision detection, utilizing Newton's iterative method, the bisection method, and knowledge of plane geometry. Through recursive relationships, this study determine the geometric positions and velocities of each segment of the dragon body at different time points, while geometric relationships help identify the time nodes that avoid collisions during the entering process. Additionally, optimization algorithms are employed to derive the minimum pitch required for the dragon body to safely turn. The research results presented in this paper are significant for the safety and aesthetic appeal of folk activities such as the "Bench Dragon," contributing to the inheritance and promotion of outstanding Chinese folk culture.
Downloads
References
[1] Luo J C. Inheritance of bench dragon culture in social development[J]. Modern and Ancient Cultural Innovation,2022,40:104-106.DOI:10.20024/j.cnki.CN42-1911/I.2022.40.033
[2] Zhou C. Research on Jiangxi Bench Dragon[D].Jiangxi Normal University,2020.DOI:10.27178/d.cnki.gjxs u.2020.000069.
[3] Shuaibu N A, Faye I, Simsim M T, et al. Spiral path simulation of pedestrian flow during Tawaf[C]//2013 IEEE International Conference on Signal and Image Processing Applications. IEEE, 2013: 241-245.
[4] Guo M W, Wang J S, Zhu L F, et al. Improved ant lion optimizer based on spiral complex path searching patterns[J]. IEEE Access, 2020, 8: 22094-22126.
[5] Sun W, Yang J, Wang W, et al. Archimedean spiral distribution of energetic particles in Earth's inner radiation belt[J]. Geophysical Research Letters, 2024, 51(4): e2023GL106859.
[6] Huang J, Shi K. Research on Collision Detection and Path Optimization of Bench Dragon Motion[C]//Proceedings of The 4th International Conference on Computer, Internet of Things and Control Engineering. 2024: 134-138
[7] Ge Q, Li A, Li S, et al. Improved bidirectional RRT∗ path planning method for smart vehicle[J]. Mathematical Problems in Engineering, 2021, 2021(1): 6669728.
[8] Hao K, Zhao J, Wang B, et al. The application of an adaptive genetic algorithm based on collision detection in path planning of mobile robots[J]. Computational Intelligence and Neuroscience, 2021, 2021(1): 5536574.
[9] Zhang Y H. THE PROBLEM OF BENCH DRAGON ENTERING AND EXITING THE SPIRAL MOTION WITH CONSTANT DISTANCE[J]. 2025.
[10] Yong, Longquan. "Three Notes on the Newton Iteration Method for Nonlinear Equations. [J]. Journal of Shaanxi University of Technology (Natural Science Edition),2024,40(06):82-86.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.