增强现实技术在电力系统故障源标识中的应用  

Application of Augmented Reality Technology in Fault Source Identification of Power System Equipment

作　　者：邓丽[1] 鲁琛瑶 邵宇鹰[2] 卢根[1] 费敏锐[1] 

机构地区：[1]上海大学机电工程与自动化学院上海市电站自动化技术重点实验室,上海200072 [2]国家电网上海市电力公司,上海200025

出　　处：《系统仿真学报》2014年第10期2386-2390,共5页Journal of System Simulation

基　　金：上海市科委重大基础研究项目(14JC1402200)

摘　　要：在电厂设备维护中,由于线路老化会出现局部放电情况。为了方便工作人员的检验和维修,提出了一种基于增强现实的故障源标识技术。设计了混合跟踪注册模块,跟踪获取电厂中故障源的图像信息,注册得到相机的内外参数矩阵。针对电厂设备体积较大,难一次完全成像问题,设计了边缘检测和图像拼接模块。运用OSTU算法与灰度投影相结合的判断方法完成设备图像边缘检测,并对不完整的图像进行拼接处理。最终通过摄像机标定,得到故障源对应的位置信息,并以全局增强现实的形式显示输出。In the power plant equipment maintenance, there will be cases of partial discharge due to the aging of lines. In order to facilitate the inspection and maintenance, a fault source identification technology system based on augmented reality method was proposed. The hybrid tracking registered module was designed. The image information of the fault source in the power plant was obtained by the process of tracking and the camera internal and external parameters matrix could be solved by the process of registration. In view of the large power plant equipment, which made it difficult to form a complete image at a time, the edge detection and image mosaic modules were designed. The OSTU algorithm combing with the gray projection was used to realize the edge detection of the equipment images and the image mosaic was implemented to the incomplete image. Camera calibration was employed to get the position information corresponding to the fault source so as to display the output in the form of comprehensive augmented reality.

关 键 词：增强现实 混合跟踪注册 图像边缘检测 灰度投影 OSTU算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]