摘要
[目的]面向森林经营作业类型复杂多样的特点,针对目前经营作业模拟普遍存在的交互性较差,缺乏自然、真实感的交互体验,以及较难以处理频繁作业能力的问题,研建了一套基于肢体动作的森林经营措施作业的交互方法。[方法]构建一个基于沉浸式虚拟现实与可视化模拟系统CAVE2的森林仿真场景为交互对象,选择伐木、整枝和补植等用户侧交互性强的经营措施,分析森林经营措施作业过程中的肢体动作,将仿真场景中的经营工具与使用者的相对距离和角度变化与肢体动作进行映射,构建肢体动作交互模型,实现肢体动作控制经营措施的执行,达到森林经营作业的仿真模拟。[结果]本研究构建的肢体动作交互模型正确地映射到了森林经营措施中,单次作业成功率达到86%,交互评价良好率达到91%。肢体动作与经营工具相结合,便于森林经营模拟交互需求的拓展。[结论]基于肢体动作交互的森林经营作业仿真模拟,形象直观地表现了森林经营措施作业过程,有助于加深使用者对森林经营的理解,提高森林经营辅助决策水平。
[Objective]In view of the complex and diverse types of forest management operations,this paper aims at solving the problems of poor interactivity,lack of natural and realistic interactive experience,and the difficulties to deal with frequent operations,and developing a set of interactive methods of forest management measures based on body action.[Method]A forest simulation scene based on the immersive virtual reality and visual simulation system CAVE2 was constructed as the interactive object,the management measures with strong interaction on the user side such as logging,pruning and replanting were selected,the limb movements in the operation process of forest management measures were analyzed,and the relative distance and angle changes between the management tools and users in the simulation scene were mapped with the limb actions.The interaction model of body movement was constructed to realize the implementation of limb action control management measures and the simulation of forest management.[Result]The interactive model of body movement constructed in this study was correctly mapped into forest management measures.The success rate of single operation was 86%,and the good rate of interactive evaluation was 91%.The combination of body movement and management tools facilitates the expansion of interactive demand of forest management simulation.[Conclusion]The simulation of forest management operation based on body action interaction can visually and intuitively show the operation process of forest management measures,which is helpful for the user's to further understand the forest management and improve the level of forest management assistant decision.
作者
朱念福
张怀清
崔泽宇
杨廷栋
王林龙
刘华
ZHU Nian-fu;ZHANG Huai-qing;CUI Zhe-yu;YANG Ting-dong;WANG Lin-long;LIU Hua(Research Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China;Key Laboratory of Forest Management and Growth Modelling,National Forestry and Grassland Administration,Beijing 100091,China;Forestry Science and Technology Information Research Institute,Chinese Academy of Forestry,Beijing 100091,China)
出处
《林业科学研究》
CSCD
北大核心
2021年第5期95-103,共9页
Forest Research
基金
中央级公益性科研院所基本科研业务费专项资金(CAFYBB2019SZ004)
国家自然科学基金项目(32071681)
国家重点研发计划课题(2017YFD0600905)。