计算机与现代化

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基于HoloLens的变电站运维仿真培训系统

  

  1. (1.国网辽宁电力有限公司锦州供电公司,辽宁锦州121001;2.北京信息科技大学仪器科学与光电工程学院,北京100192;
    3.北京科东电力控制系统有限责任公司,北京100192
  • 收稿日期:2018-08-18 出版日期:2019-11-15 发布日期:2019-11-15
  • 作者简介:雷振江(1976-),男,辽宁沈阳人,高级工程师,硕士,研究方向:信息化,信息工程; 王雷(1973-),男,高级企业信息师,本科,研究方向:信息化及信息管理; 崔吉生(1963-),男,高级工程师,本科,研究方向:电力系统自动化; 陈硕(1993-),女,硕士研究生,研究方向:测试计量技术与仪器; 徐正清(1972-),男,高级工程师,硕士,研究方向:电力系统自动化; 于海龙(1992-),男,硕士研究生,研究方向:测试计量技术与仪器; 孟皓(1978-),女,讲师,博士,研究方向:精密测量理论与技术; 通信作者:刘国忠(1966-),男,教授,博士,研究方向:精密测量技术,OCT,脑电信号分析及应用,视觉测量技术及应用,E-mail: liuguozhong@bistu.edu.cn。
  • 基金资助:
    国家电网科技项目(5222JZ17002R)

A Substation Simulation Training System Based on HoloLens

  1. (1. Jinzhou Electric Power Supply Company, State Grid Liaoning Electric Power Co. Ltd., Jinzhou 121001, China;
    2. School of Instrument Science and Opto-electronics Engineering, Beijing Information Science & Technology University, Beijing 100192, China;
    3. Beijing Kedong Electric Power Control System Co. Ltd., Beijing 100192, China)
  • Received:2018-08-18 Online:2019-11-15 Published:2019-11-15

摘要: HoloLens增强现实(Augmented Reality, AR)眼镜为现实世界叠加了逼真的3D全息影像,因此其常被采用为平台来开发基于增强现实技术的变电设备运维仿真培训系统。以HoloLens的主相机作为变电站图像采集设备,采用ASIFT设备局部特征识别方法、人工编码标识识别方法和基于光学字符识别技术(OCR)的设备标牌识别方法相结合,实现变电站不同大小和不同形状设备的可靠识别;通过视觉方法寻找人工标识特征点或设备特征点对目标设备进行精确定位和初始化注册,并利用HoloLens的空间锚点(Anchor)技术,实现目标设备的快速跟踪和注册;构建基于增强现实的变电设备运维学习、训练和考核环境,并进行示范验证。本文通过拓展现有实训系统的功能,提升了现有实训系统的实用性、交互性与体验感,提高了培训的效果和效率。

关键词: 增强现实, HoloLens, 变电站, 仿真培训, 目标识别技术, 跟踪注册技术

Abstract: Microsoft HoloLens is an augmented reality PC headset that brings high-definition 3D digital holograms to life in the real world, therefore, it is adopted as the platform to develop the substation operation training system based on the augmented reality technology. The main camera of HoloLens is used as the image acquisition equipment of the substation, and the identification methods of the local feature of equipment based on ASIFT, the artificial marker and the equipment label based on OCR are combined to realize the reliable identification of the substation equipment with different size and shape. The object equipment in the substation is accurately located and registered initially by the feature point recognition of artificial marker or equipment based on vision, and  the Anchor technology of HoloLens is used to realize fast tracking and registration of target devices. The learning, training and assessment environment of substation based on augmented reality is constructed, and demonstration and verification are carried out. By expanding the functions of the existing training system, this paper improves the practicability, interactivity and experience of the existing training system, and improves the training effect and efficiency.

Key words: augmented reality, HoloLens, substation, simulation training, target recognition technique, tracking and registration technique

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