摘要
为有效提升智能装备柜的运行质量,本次研究基于大数据和云计算技术加以展开。首先,设计本次智能装备柜运维管控系统的整体架构;其次,设计系统的整体功能模块,涵盖了数据采集、数据分析、数据通信和安全模块等多个组成部分;最后,测试本次设计的系统,测试结果表明,与其他同类系统相比,该系统在检测准确性上更具优势,预计其具有一定的应用可行性。
In order to effectively improve the operation quality of intelligent equipment cabinet,this research is based on big data and cloud computing technology.Firstly,design the overall architecture of the intelligent equipment cabinet operation and maintenance management and control system.Secondly,the overall functional modules of the system are designed,covering data acquisition,data analysis,data communication and security modules and other components.Finally,the system is tested.The test results show that the system has more advantages in detection accuracy than other similar systems,and it is expected that it has certain application feasibility.
作者
邓园园
赖恩毅
DENG Yuanyuan;LAI Enyi(Zhongke Huwei Technology Co.,Ltd.,Xiamen,Fujian 361024,China)
出处
《自动化应用》
2023年第5期152-154,共3页
Automation Application
关键词
大数据
云计算
智能装备柜
运维管控系统
big data
cloud computing
intelligent equipment cabinet
operation and maintenance control system