[1]吴昊鹏,班剑锋,李建华.一种基于 MR 的电解槽设备辅助管理系统的实现方法[J].机械与电子,2022,(03):40-44.
　WU Haopeng,BAN Jianfeng,LI Jianhua,et al.A Realization Method of Aluminum Electrolysis Cells Auxiliary Management System Based on Mixed Reality[J].Machinery & Electronics,2022,(03):40-44.
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一种基于 MR 的电解槽设备辅助管理系统的实现方法()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2022年03期
页码:
40-44
栏目:
自动控制与检测
出版日期:
2022-03-25

文章信息/Info

Title:
A Realization Method of Aluminum Electrolysis Cells Auxiliary Management System Based on Mixed Reality
文章编号:
001-2257 ( 2022 ) 03-0040-05
作者:
吴昊鹏 1 ; 班剑锋 1 ; 2 ; 李建华 1
1. 兰州理工大学机电工程学院,甘肃 兰州 730050 ; 2. 中铝视拓智能科技有限公司,湖南 长沙 410006
Author(s):
WU Haopeng1 ;  BAN Jianfeng1 ;  2 ;  LI Jianhua1
(1.School of Mechanical and Electronical Engineering , Lanzhou University of Technology , Lanzhou 730050 , China ; 2.Chalco Steering Intelligent Technology Co. , Ltd. , Changsha 410006 , China )
关键词:
铝电解槽; 混合现实; 槽号识别; 卷积网络
Keywords:
aluminum reduction cell ;  mixed reality ;  digital recognition ;  convolutional network
分类号:
TP391
文献标志码:
A
摘要:
针对电解铝电解槽维护管理的现场数据交互难题,提出了一种基于混合现实的电解槽设备辅助管理系统。采用卷积神经网络模型识别电解槽号,以电解槽号为纽带获取电解槽后台海量生产数据,应用 HoloLens2 混合现实平台实现虚拟数据与电解槽实体融合,基于后台历史数据的可视化辅助员工设备管理及数据决策。该实现方法可以为相同应用场景提供参考。
Abstract:
Aiming at the problem of on-site data interaction in the maintenance and management of aluminum electrolytic cells , an auxiliary management system based on mixed reality is proposed.The convolutional neural network model is applied to identify the number of aluminum electrolytic cells , the electrolytic cell number is used as an important tie to obtain massive back-end data of the electrolytic cells , the HoloLens2 mixed reality platform is utilized to realize the integration of virtual data and the electrolytic cell entity , and the the visualization of background historical data is applied to assist employees with equipment management and data decision.By doing so , references can be provided for the same application scenarios by the implementation methods mentioned in this paper.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2021-09-26
基金项目:国家重点研发计划项目( 2020YFB1713600 )
作者简介:吴昊鹏 ( 1994- ),男,甘肃张掖人,硕士研究生,研究方向为混合现实技术;班建锋 ( 1976- ),男,甘肃永登人,硕士,高级工程师,研究方向为有色冶金信息化工程;李建华 ( 1975- ),男,甘肃兰州人,副教授,研究方向为计算机集成制造。
更新日期/Last Update: 2022-03-23