巡检机器人在互联网数据中心智能运维中的应用探索与研究

doi:10.11959/j.issn.1000-0801.2018303

Abstract

Abstract:

The operation and maintenance of the internet data center (IDC) is critical and arduous.Operators urgently need to consider how to introduce inspection robots to improve the level of intelligent operation and maintenance.The development status and technology maturity of the inspection robot industry were introduced and the overall structure of the inspection robot data acquisition system was proposed.Combining with the actual network demand of data center inspection robots,technical breakthroughs in intelligent operation and maintenance of data centers and mining and application of collected data were discussed in depth.

Key words: inspection robot, internet data center (IDC), energy saving and emission reduction, intelligent operation and maintenance, image recognition, artificial intelligence

CLC Number:

TP242

Xiaosong LIU,Ting HUANG. Application of inspection robot in internet data center intelligent operation and maintenance[J]. Telecommunications Science, 2018, 34(12): 132-137.

Figures/Tables 4

References 9

[1]	李翔, 姜晓红, 吴朝晖 ,等. 绿色互联网数据中心的热量管理方法研究[J]. 计算机学报, 2015,38(10): 1976-1996.
	LI X , JIANG X H , WU Z H ,et al. Study on the method of thermal management in green data center[J]. Chinese Journal of Computers, 2015,38(10): 1976-1996.
[2]	邓维, 刘方明, 金海 ,等. 云计算互联网数据中心的新能源应用:研究现状与趋势[J]. 计算机学报, 2013,36(3): 582-598.
	DENG W , LIU F M , JIN H ,et al. New energy applications in cloud computing data centers:research status and trends[J]. Journal of Computers, 2013,36(3): 582-598.
[3]	张成巍, 岳湘 . 智能巡检机器人研究现状与发展趋势[J]. 电工文摘, 2015(1): 9-12.
	ZHANG C W , YUE X . Research status and development trend of intelligent patrol robot[J]. Electrical Engineering Abstracts, 2015(1): 9-12.
[4]	唐亮, 陈瑞华, 王长宁 . 用于互联网数据中心机房的智能巡检机器人的设计[J]. 计算机与网络, 2018,44(6):47.
	TANG L , CHEN R H , WANG C N . Design of intelligent patrol robot for data center computer room[J]. Computer and Network, 2018,44(6):47.
[5]	张正培, 陈庆, 陆君杰 ,等. 互联网数据中心机房智能巡检机器人的设计探究[J]. 中国金融电脑, 2017(2): 48-55.
	ZHANG Z P , CHEN Q , LU J J ,et al. Study on the design of intelligent inspection robot in data center computer room[J]. China Financial Computer, 2017(2): 48-55.
[6]	丁宁, 陈波, 蔡钧宇 ,等. 基于视觉识别的智能巡检机器人系统设计[J]. 科技创新与应用, 2018(24): 86-87.
	DING N , CHEN B , CAI Y Y ,et al. Design of intelligent inspection robot system based on visual recognition[J]. Science ＆Technology Innovation and Application, 2018(24): 86-87.
[7]	曹涛 . 变电站智能巡检机器人散热系统分析[J]. 机械设计与制造, 2015.
	CAO T . Analysis of heat dissipation system of substation intelligent inspection robot[J]. Machinery Design ＆ Manufacture, 2015.
[8]	樊耀东 . 电信运营业节能减排指标体系研究[J]. 电信科学, 2008,24(5).
	FAN Y D . Research on energy saving and emission reduction index system of telecom operation industry[J]. Telecommunications Science, 2008,24(5).
[9]	苏礼华, 陈日凡, 谢振华 . IDC机房新型IT设备供电模式的探讨[J]. 电信科学, 2014,30(Z1): 46-50.
	SU L H , CHEN R F , XIE Z H . Discussion on power supply mode of new IT equipment in IDC engine room[J]. Telecommunications Science, 2014,30(Z1): 46-50.

Metrics

Recommended 0

No Suggested Reading articles found!

巡检项目		正常状态判断内容	巡检方式	巡检频率
服务器、网络、监控设备	检查设备指示灯状态有无异常	各类设备指示灯显示正常，参考各类设备指示灯状态图示	观察	每天
	检查设备有无传出异常报警声	各类设备无报警蜂鸣声	听	每天
	检查设备有无散发出烧糊（焦）的气味	无烧糊（焦）的气味	闻	每天
	设备有无冒出烟雾	设备无烟雾冒出	观察	每天
	是否有风从设备吹处	有风从设备吹出	感应	每天
环境温度、物理安全隐患、水火灾等方面	机房室内温度是否正常	开机状态：夏季23℃±2℃；冬季22℃±2℃	观察	每天
		停机状态：5℃~35℃	观察	——
	机房室内湿度是否正常	开机状态：45％～65％	观察	观察
		停机状态：40%～70%	观察	——
	检查设备面板显示信息有无异常	各类设备无错误代码信息（对各类设备显示异常信息记录）	观察	每天
	机房室内有无水患	机房建筑地面、墙体、顶墙均无水浸蚀	观察	每天
	机房室内地面风口是否有风吹出	有风吹出	感应	每天

	主功能	子功能	功能说明
巡检功能	巡检模式	全自主巡检	全自主模式包括例行和特巡两种方式。例行方式下，系统根据预先设定的巡检内容、时间、周期、路线等参数信息，自主启动并完成巡视任务
		遥控巡检	由操作人员手动遥控机器人，完成巡视工作
	检测功能	温湿测量功能	对设备进行温度检测，对缺陷或故障进行自动分析判断，并提出预警
		仪表读数	对有读数的表盘进行数据读取、自动记录和判断，并提出报警。读数的误差小于5%
		噪声识别	能够对设备运行噪声进行采集、远传、分析
	音视频远传	通信模块	具备实时图像远传和双向语音传输功能，可实现就地或远程视频巡视和作业指导
	报警功能	管理模块	具备设备检测数据的分析报警功能；报警发生时，应立即发出报警信息，伴有声光提示，并能人工退出/恢复；报警信号能远传
数据采集功能	图像采集、识别设备	可见光摄像机	主要针对表盘式仪表、数字式仪表、指示灯等设备进行拍照，用于后台管理系统识别
		红外热成像仪	对服务器、机房整体环境进行热成像数据采集
	传感器	环境参数采集传感器	搭载温度、湿度、风速、噪声、空气质量、烟雾等多种传感器，用于直接测量数据机房环境参数

[1]	Zehua GUO, Haowen ZHU, Tongwen XU. Network modal innovation for distributed machine learning [J]. Telecommunications Science, 2023, 39(6): 44-51.
[2]	Ruihong JIANG, Yizhe FENG, Yaohua SUN, Haina ZHENG. A survey on networking key technologies for LEO satellite network [J]. Telecommunications Science, 2023, 39(2): 37-47.
[3]	Hailong ZHANG, Bo LI, Najuan JIA. A method for locating fault sections of power optical communication network intelligent operation and maintenance equipment off-grid based on Dijkstra algorithm [J]. Telecommunications Science, 2023, 39(1): 92-99.
[4]	Aihua LI, Xiaobo WU, Chao CHEN, Bin WEI, Yuanyuan SHI. Big data intelligent analysis technology for 5G network [J]. Telecommunications Science, 2022, 38(8): 129-139.
[5]	Dongming ZHAO. Research and application practice of knowledge graph technology system for telecom-operators [J]. Telecommunications Science, 2022, 38(8): 151-162.
[6]	Mingwei ZHU. AI engineering technology solutions in network intelligence [J]. Telecommunications Science, 2022, 38(2): 157-165.
[7]	Ruiying CHENG, Pan ZHANG, Yu XIAO, Yujie QIAO, Anyi ZHANG. Time series data based AI operation and maintenance system of cloud network collaboration platform [J]. Telecommunications Science, 2022, 38(11): 24-35.
[8]	Zhihong CHEN, Mingxiao WANG. Application of computer vision in intelligent security [J]. Telecommunications Science, 2021, 37(8): 142-147.
[9]	Shuo YUAN, Yijing REN, Zeyu WANG, Yaohua SUN, Mugen PENG. Software defined intelligent satellite-terrestrial integrated wireless network [J]. Telecommunications Science, 2021, 37(6): 66-77.
[10]	Jianwu ZHANG, Luxin WANG, Lingfen SUN, Qianye ZHANG, Hangguan SHAN. An survey on application of artificial intelligence in 5G system [J]. Telecommunications Science, 2021, 37(5): 14-31.
[11]	Su WANG, Hua LU, Shuo WANG, Lei CAI, Tao HUANG. Research progress of KPI anomaly detection in intelligent operation and maintenance [J]. Telecommunications Science, 2021, 37(5): 42-51.
[12]	Zhiyong LIU, Zhongjiang HE, Yilong RUAN, Junfeng SHAN, Chao ZHANG. Big data security features and operation practices [J]. Telecommunications Science, 2021, 37(5): 160-169.
[13]	Junhui ZHAO, Danyang ZHANG, Lin HE. Analysis and prospect of communication technology in smart urban rail [J]. Telecommunications Science, 2021, 37(4): 1-13.
[14]	Yingzhao ZHU, Man LI. Review on meta-learning [J]. Telecommunications Science, 2021, 37(1): 22-31.
[15]	Tong ZHANG,Yijing REN,Shi YAN,Mugen PENG. Artificial intelligence driven 6G networks:endogenous intelligence [J]. Telecommunications Science, 2020, 36(9): 14-22.

Application of inspection robot in internet data center intelligent operation and maintenance

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 4

References 9

Related Articles 15

Metrics

Recommended 0