电网现场作业下基于信道自适应的边缘计算AR技术  

Edge Computing AR Technology Based on Channel Adaptive for Grid Field Operation Systems

作　　者：许振东 余宇红 吴斌 崔欢 祝豪瑜 陈智勇[2] XU Zhendong;YU Yuhong;WU Bin;CUI Huan;ZHU Haoyu;CHEN Zhiyong(Shanghai Hengnengtai Enterprise Management Co.,Ltd.,Shanghai 200122,China;Shanghai Jiaotong University,Shanghai 200240,China)

机构地区：[1]上海恒能泰企业管理有限公司,上海200122 [2]上海交通大学,上海200240

出　　处：《电力与能源》2019年第4期363-368,共6页Power & Energy

摘　　要：随着电网规模的日益扩大,电网现场作业面临巨大压力,将增强现实(简称AR)与边缘计算技术引进到电网现场作业中是缓解压力的有效方式.面向电网现场作业,提出了基于信道自适应的边缘计算增强现实技术,通过在现场作业中引入AR应用来提高现场作业的效率和准确性,并通过信道状态自适应技术来卸载AR应用的计算任务,通过边缘计算来降低AR应用在电网现场作业的时延.通过仿真分析得到现场作业的AR应用可以达到最优的时延.With the increasing scale of the power grid,the field operations of the power grid are under tremendous pressure.Introducing augmented reality (AR) and edge computing technology into the grid field operation is an effective way to relieve the burden.In this paper,we propose an edge computing augmented reality scheme based on wireless channel adaptive for grid field operation systems,which aims to improve the efficiency and accuracy of field operations by introducing AR applications in field operations.Meanwhile,the proposed scheme can offload the AR computation task to the edge server through channel state adaptive technology,and yield the reduction of delay.Simulation analysis results show that the proposed scheme can achieve the minimum delay of the AR application by using channel adaptive.

关 键 词：增强现实 边缘计算 信道自适应 电网现场作业 

分 类 号：TM721[电气工程—电力系统及自动化]