基于EON的虚拟拆装碰撞检测算法

Collision detection algorithm based on EON studio platform

为了有效提高虚拟维修环境的真实性和融入感,增强环境的细节描述,对基于K-DOPS包围盒的碰撞检测算法在虚拟维修特征建模中的应用进行研究。通过比较几种经典离散型碰撞检测算法的优劣,结合本维修系统对实时性与检测效率的要求,确立K-DOPS包围盒算法,并对其遍历检测过程进行优化设计,提出了与OpenGL相结合的检测编译方法,通过EON Studio软件平台进行仿真试验。结果显示,运用KDOPS包围盒的碰撞检测算法在柴油机虚拟维修训练系统中可以实时、有效地避免零件模型间的碰撞,增强虚拟环境的细节描述。

To effectively improve the facticity and immersion of the virtual maintenance environment and strengthen the detailed descriptions, K-DOPS bounding box algorithm of collision detection was applied to the virtual mainte-nance feature modeling. In comparison of several classic discrete algorithms of collision detection, and combining the system requirements for real-time with detection efficiency, K-DOPS bounding box algorithm was selected,the ergodic detecting process optimized, and the compiling method with OpenGL platform presented. Through EON Stu-dio simulation platform, the results show that the use of K-DOPS bounding box algorithm of collision detection can real-timely avoid collision and penetration between the part models in virtual maintenance training system for diesel engine, and enhance the detailed descriptions of the simulation environment.