Physics-Based Modeling and Fluttering Dynamic Process Simulation for Catkins

doi:10.3390/f14122431

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	Physics-Based Modeling and Fluttering Dynamic Process Simulation for Catkins
	Zhang, Jiaxiu 1; Yang, Meng 1,2; Xi, Benye 3; Duan, Jie 3; Huang, Qingqing 4; Meng, Weiliang 5,6
刊名	FORESTS
	2023-12-01
卷号	14 期号:12 页码:28
关键词	clustering catkin modeling wind field simulation catkin control
DOI	10.3390/f14122431
通讯作者	Yang, Meng(yangmeng@bjfu.edu.cn)
英文摘要	Flight simulation of catkins using computer technology helps their prevention and control. However, this is a challenging task due to the complex characteristics, and irregular shapes of catkins, while existing methods mainly focus on rain and snow, which are not suitable for catkins. In this paper, we propose a physics-based algorithm for the dynamic simulation of fluttering catkins. Our approach includes an L-system based 3D modeling method for simulating the natural phenomena of the catkin. We consider the motion of wind, free fall of catkins, and the dynamics of catkins under the joint action of attraction between them, while adhering to the physical motion law of catkins. To provide wind force, we first establish a three-dimensional wind field based on Boltzmann's equation. We then use the kernel function idea to calculate the attraction force between catkins and finally update the position of the catkin. We incorporate the phenomena of collision and adhesion, attraction, and accumulation of catkins while simulating motion states depending on the adjusted wall height and ground humidity parameters. Our approach overcomes limitations of previous models by achieving good simulation while using relatively less code to simulate various realistic motion states. According to our users' study, more than 71% of users found the simulation results to be acceptable, authentic, and realistic, confirming the authenticity of our simulation. Our method can generate highly realistic effects, significantly improving efficiency by several orders of magnitude compared to manual modeling. In addition, it can effectively simulate the dynamics of catkins in different scales, providing a decision-making reference for catkin control.
资助项目	National Natural Science Foundation of China[32271983] ; National Natural Science Foundation of China[U22B2034] ; National Natural Science Foundation of China[6226070885] ; National Natural Science Foundation of China[62102414] ; National Natural Science Foundation of China[62172416] ; National Natural Science Foundation of China[61972459] ; National Natural Science Foundation of China[62002358] ; Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University[VRLAB2023B01] ; Personalized Viewing System for the Museum Project of College Students' innovation and entrepreneurship training program, Beijing Forestry University[X202110022192]
WOS关键词	REAL-TIME ; SNOW
WOS研究方向	Forestry
语种	英语
出版者	MDPI
WOS记录号	WOS:001131413900001
资助机构	National Natural Science Foundation of China ; Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University ; Personalized Viewing System for the Museum Project of College Students' innovation and entrepreneurship training program, Beijing Forestry University
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54952]
专题	多模态人工智能系统全国重点实验室
通讯作者	Yang, Meng
作者单位	1.Beijing Forestry Univ, Sch Informat Sci & Technol, Beijing 100083, Peoples R China 2.Natl Forestry & Grassland Adm, Engn Res Ctr Forestry Oriented Intelligent Informa, Beijing 100083, Peoples R China 3.Beijing Forestry Univ, Coll Forestry, Beijing 100083, Peoples R China 4.Beijing Forestry Univ, Sch Technol, Beijing 100083, Peoples R China 5.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 6.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Jiaxiu,Yang, Meng,Xi, Benye,et al. Physics-Based Modeling and Fluttering Dynamic Process Simulation for Catkins[J]. FORESTS,2023,14(12):28.
APA	Zhang, Jiaxiu,Yang, Meng,Xi, Benye,Duan, Jie,Huang, Qingqing,&Meng, Weiliang.(2023).Physics-Based Modeling and Fluttering Dynamic Process Simulation for Catkins.FORESTS,14(12),28.
MLA	Zhang, Jiaxiu,et al."Physics-Based Modeling and Fluttering Dynamic Process Simulation for Catkins".FORESTS 14.12(2023):28.