CAJ | 학술논문

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-DOP S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-DOP S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K-DOPS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。
위료유효제고허의유수배경적진실성화융입감，증강배경적세절묘술，대기우K-DOP S포위합적팽당검측산법재허의유수특정건모중적응용진행연구。통과비교궤충경전리산형팽당검측산법적우렬，결합본유수계통대실시성여검측효솔적요구，학립K-DOP S포위합산법，병대기편력검측과정진행우화설계，제출료여OpenGL상결합적검측편역방법，통과EON Studio연건평태진행방진시험。결과현시，운용K-DOPS포위합적팽당검측산법재시유궤허의유수훈련계통중가이실시、유효지피면령건모형간적팽당，증강허의배경적세절묘술。
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.