Computer Engineering and Applications ›› 2018, Vol. 54 ›› Issue (21): 257-264.DOI: 10.3778/j.issn.1002-8331.1707-0413

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Online monitoring of university computer room based on IoT and edge computing

DING Chengjun1, LIU Qiang1, FENG Yubo1, 2, GAO Xue1   

  1. 1.School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China
    2.Taihua Hongye (Tianjin) Robot Technology Research Institute Co. Ltd. , Tianjin 300130, China
  • Online:2018-11-01 Published:2018-10-30


丁承君1,刘  强1,冯玉伯1,2,高  雪1   

  1. 1.河北工业大学 机械工程学院,天津 300130
    2.泰华宏业(天津)机器人技术研究院有限责任公司,天津 300130

Abstract: The university computer rooms are of low efficiency of human supervision, low adaptive adjustment ability and high energy consumption. In order to solve these problems, this paper analyzes the supervision and administration status quo of university computer rooms. It puts forward to make use of the Internet of Things to monitor the environment and energy consumption of the university computer rooms automatically and remotely. To deal with the ZB data size caused by the rapid increase number of edge devices in the Internet of things, this paper puts forward the method of applying edge calculation in the distributed monitoring system of university computer rooms. Besides this paper also puts forward the architectural model and edge calculation model and gives the monitoring method of the thermal environment, energy consumption and other key parameters of the computer rooms. In view of the room supervision, testing, using and energy saving services and other aspects, the paper gives the corresponding solutions for college energy conservation, which provides a new idea for the energy conservation and room security of the university.

Key words: IoT, edge computing, university computer room, MQTT protocol, computer room energy consumption

摘要: 为了解决高校机房人力监管效率低、自适应调节能力差、机房能耗高等问题,通过分析高校机房监管现状,研究利用物联网对机房环境及能耗情况等进行远程自动监测;针对因物联网网络边缘设备量迅速增加而导致的泽字节(ZB)数据量,提出在高校分布式机房监测系统中应用边缘计算的方法,并提出了机房物联网的架构模型和边缘计算模型,给出了机房热环境、能耗等关键参数的监测方法。针对机房监管、测试、使用和节能服务等环节,给出了相应的解决方案,为高校节能、机房安全提供了一种新思路。

关键词: 物联网, 边缘计算, 高校机房, MQTT协议, 机房能耗