CAJ | 학술논문

以石油企业中的油气集输系统为主要研究对象，针对目前虚拟仿真技术存在的问题和缺陷，对油气集输系统的虚拟仿真技术进行较深入研究。在对油气集输工具图像进行分析和实验研究的基础上，提取集输工具图像的多种特征值，其中利用 HSV 彩色空间提取图像颜色特征，采用傅立叶描述子提取图像的形状特征。并采用最小二乘支持向量机算法对图像进行识别，实现了员工在虚拟现实场景中真实、安全、高效培训，经现场实际使用取得了较好的应用效果。
이석유기업중적유기집수계통위주요연구대상，침대목전허의방진기술존재적문제화결함，대유기집수계통적허의방진기술진행교심입연구。재대유기집수공구도상진행분석화실험연구적기출상，제취집수공구도상적다충특정치，기중이용 HSV 채색공간제취도상안색특정，채용부립협묘술자제취도상적형상특정。병채용최소이승지지향량궤산법대도상진행식별，실현료원공재허의현실장경중진실、안전、고효배훈，경현장실제사용취득료교호적응용효과。
This paper deeply researches the virtual simulation technology of oil gas gathering transferring system in the view of the present problem and defects existing in the virtual simulation technology. It treats oil gas gathering and transferring system in oil companies as main research object. The system extracts multiple eigenvalues of gathering and transferring tools’ images which is on the basis of analysis experiment research in the image of oil gas gathering and transferring tools. This algorithm uses the HSV color space to extract images’ color features and takes advantage of fourier descriptor to shape features. It identifies images by least squares SVM algorithm which finally implements real, safe, efficient training of staff, and has achieved good application affect after actual using.