引入HoloLens进行信息融合与数据挖掘的新型巡检方式及体验

郭国栋; 龚雁峰; 吴迪; 潘建乔; 余方召; 潘白浪; 李欢

doi:10.11930/j.issn.1004-9649.201909115

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引入HoloLens进行信息融合与数据挖掘的新型巡检方式及体验

信息与通信 | 更新时间：2025-06-18

- 引入HoloLens进行信息融合与数据挖掘的新型巡检方式及体验
- New Inspection Method and Experience by Introducing HoloLens into Information Fusion and Data Mining
- 中国电力 2021年54卷第7期页码：208-216
- 作者机构：
  
  1.新能源电力系统国家重点实验室（华北电力大学），北京　102206
  2.国网浙江平湖市供电有限公司，浙江平湖　314200
  3.平湖市通用电气安装公司，浙江平湖　314200
  4.上海绿峦科技有限公司，上海　200237
- 作者简介：
  
  [ "郭国栋(1995—)，男，博士研究生，从事人工智能在电力系统中的应用研究，E-mail: gbjdsf@163.com" ]
  [ "龚雁峰(1977—)，男，教授，博士生导师，从事电力系统保护与控制、电力系统稳定分析、先进测控与计算机技术在电力系统应用等，E-mail: yanfeng.gong@ncepu.edu.cn" ]
- 基金信息：
- DOI：10.11930/j.issn.1004-9649.201909115
  中图分类号：
- 收稿：2019-09-19，
  
  修回：2020-03-25，
  
  纸质出版：2021-07-05
- 稿件说明：
移动端阅览
郭国栋, 龚雁峰, 吴迪, 等. 引入HoloLens进行信息融合与数据挖掘的新型巡检方式及体验[J]. 中国电力, 2021,54(7):208-216.

Guodong GUO, Yanfeng GONG, Di WU, et al. New Inspection Method and Experience by Introducing HoloLens into Information Fusion and Data Mining[J]. Electric power, 2021, 54(7): 208-216.
郭国栋, 龚雁峰, 吴迪, 等. 引入HoloLens进行信息融合与数据挖掘的新型巡检方式及体验[J]. 中国电力, 2021,54(7):208-216. DOI： 10.11930/j.issn.1004-9649.201909115.

Guodong GUO, Yanfeng GONG, Di WU, et al. New Inspection Method and Experience by Introducing HoloLens into Information Fusion and Data Mining[J]. Electric power, 2021, 54(7): 208-216. DOI： 10.11930/j.issn.1004-9649.201909115.

摘要

当前变电站的各类巡检方式大都存在着信息获取不全面问题，主要体现在巡检信息不能得到妥善保存或巡检系统无法及时获取SCADA数据。随着智能电网的发展，电力大数据在设备状态估计等方面有着越来越多的用途。由此形成了智能巡检系统对数据的需求与获取数据不全面之间的矛盾，信息融合与数据挖掘就变得尤为重要，泛在电力物联网概念可以应用到巡检领域中去。采用混合现实设备HoloLens进行变电站巡检，以HoloLens连接人与物，其作为移动的人机交互接口，无缝连接数据与现实，采用智能技术获取和存储巡检数据并能调用SCADA数据，实现数据流的联通。基于此全面信息，系统对设备进行状态评估和故障率计算并为巡检人员提供辅助信息，以提高巡检质量和效率，获取新的巡检内容和巡检体验。最后对巡检人员反馈的用户体验结果进行模糊综合评价，取得了理想的效果。

Abstract

At present

most inspection methods for substation have the problem of incomplete information acquisition

which is mainly reflected in two aspects: the loss of information caused by improper preservation of inspection information and the waste of information caused by the inability of the inspection system to obtain SCADA data in time. With the development of smart grid

power big data has more and more applications in equipment state estimation and so on. As a result

the contradiction between the data demand of the intelligent inspection system and the incomplete data acquisition occurs

and information fusion and data mining become much more important. The concept of Ubiquitous Internet of Things in Energy can be applied to the field of inspection. In this paper

the MR equipment HoloLens is used for substation inspection

and is used to connect people and objects. As a mobile human-computer interaction interface

the HoloLens seamlessly connects data and reality. The intelligent technology is used to acquire and store inspection data and call SCADA data to realize data flow interconnection. Based on the comprehensive information

the equipment condition assessment and failure rate calculation are carried out to provide auxiliary information for inspectors

consequently improving the quality and efficiency of inspection

and the new inspection contents and inspection experience are thus obtained. Finally

the results of user experience feedback from patrol inspectors are evaluated by fuzzy comprehensive evaluation

and the ideal results are achieved.

关键词

Keywords

references

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