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引用本文:王银隆,彭来湖,史伟民.基于边云协同的分布式机房动力环境监控系统设计[J].软件工程,2020,23(10):15-18.【点击复制】
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基于边云协同的分布式机房动力环境监控系统设计
王银隆1,彭来湖1,2,史伟民1
(1.浙江理工大学浙江省现代纺织装备技术重点实验室,浙江 杭州 310018;
2.杭州勤诚微电子科技有限公司,浙江 杭州 310018)
wyl199501@163.com; 43233212@qq.com; swm@zstu.edu.cn
摘 要: 为解决目前的机房动力环境监控系统在架构上主要表现为独立组网、单服务器数据库,不能满足分布式 机房集中监控要求等问题,本文利用边云协同的架构优势,采用搭载安卓系统的主板作为智能边缘端,设计监控系统终 端设备软件和硬件,提出总体设计思路,介绍系统智能终端监控软硬件功能框架、边云协同模型、数据处理存储上传及 访问边缘服务的实现。经测试表明,设计方案能实现分布式机房动力环境的远程集中监控,并有效解决大量数据直接传 输云端的问题,同时提供就近访问边缘服务功能。
关键词: 动力环境监控系统;边云协同;多点远程监控;就近边缘服务
中图分类号: TP311.5    文献标识码: A
Design of Power Environment Monitoring System for Distributed Computer Room based on Edge-cloud Collaboration
WANG Yinlong1, PENG1,2,SHI Weimin1
( 1.Key Laboratory of Modern Textile Equipment Technology, Zhejiang Sci -tech University, Hangzhou 310018, China;
2.Hangzhou Qincheng Microelectronics Technology Co ., Ltd ., Hangzhou 310018, China )
wyl199501@163.com; 43233212@qq.com; swm@zstu.edu.cn
Abstract: The problems in the architecture of the existing power environment monitoring system for computer room are as follows: independent networking, single-server database, and failure to meet the centralized monitoring requirements of distributed computer rooms. In order to solve these problems, this paper proposes a framework of a new monitoring system with newly-developed terminal software and hardware. Based on edge-cloud collaboration architecture technology, the system uses the mainboard with Android system as intelligent edge. This paper rst proposes an integrated designing concept, and then introduces the hardware and software functions of the intelligent terminal, the edge-cloud collaboration model, data processing, storage and upload, and access to edge services. Tests show that this proposal can realize remote centralized monitoring of the power environment in the distributed computer rooms, and effectively solve the problem of direct transmission of large amounts of data to the cloud, while providing nearby access to edge services.
Keywords: dynamic environment monitoring system; edge-cloud collaboration; multi-point remote monitoring; near-edge service


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