摘要
传统的数据中心机房监控技术高度依赖人力,已经无法满足机房自动化管理的发展要求。本文利用基于云平台的人脸识别技术,开发了一款数据中心机房监控管理辅助软件。该软件具备扫脸登录、到访人员自动识别和多人识别等功能,在常规的信息通信管理系统基础上注入了人工智能新元素,减轻了调控监控值班人员劳动强度,有效提升本质安全水平。
The traditional monitoring technology for computer room of data center is highly dependent on manual work, which has been unable to meet the development requirements of automation management. This paper uses face recognition technology based on cloud platform, to develop a data center computer room monitoring and management assistant software. The software has the functions of face scanning and login, automatic identification of visiting personnel, multi-person identification and so on, which inject new elements of artificial intelligence into the conventional information and communication management system, to reduce the labor intensity of the on-duty personnel, and significantly improve the level of intrinsic safety.
作者
刘文清
易衍孜
陈小惠
尹旺
姚程
LIU Wenqing;YI Yanzi;CHEN Xiaohui;YIN Wang;YAO Cheng(State Grid Hunan Electric Power Company Limited Information and Communication Company,Changsha 410004,China)
出处
《湖南电力》
2021年第1期52-55,共4页
Hunan Electric Power
关键词
人脸识别
云平台
机房监控
face recognition
cloud platform
computer room monitoring