An AR Operation and Maintenance System for Data Center

Changyu He, Xifa Song, Ying Rao, Chao Wu, Bo Zhang

Abstract


This thesis proposes an operation and maintenance system based on Augmented Reality (AR) technology using in data center equipment room. It includes two subsystems: AR inspection, AR maintenance. The functions include data management during inspection and maintenance; intelligent guidance of inspection operations; all-round identification and display of equipment front-end and back-end data; data tracking and recording of the whole maintenance process; remote expert maintenance assist in real time. It effectively solves the practical problems of low efficiency in traditional operation and maintenance, missed inspection, and high labor costs in operation and maintenance. In addition, this thesis also describes a research case. A traditional operation and maintenance system without AR technology was developed to compare the user experience with the AR operation and maintenance system (AR-OM system). Through actual user feedback data, this thesis makes a detailed analysis of AR technology for data center inspection efficiency and user experience enhancement.


DOI
10.12783/dtcse/csse2018/24494

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