摘要
为了有效地监控和管理高校仪器设备,对设备的能耗数据进行采集,以数据分析结果为依据为高校发展提供科学管理和智能决策支持.通过物联网和IPv6技术,部署智能硬件对仪器设备能耗数据进行计算和采集,以层次化结构为指导设计了松耦合的平台体系结构,采用Web服务作为数据上传和硬件控制的中间件,提出了相关的能耗分析算法对数据进行处理和分析.搭建了基于IPv6的校园仪器设备能耗监控平台,通过图形化界面展示数据分析和统计结果,实时显示仪器设备的能耗和运行状态.该平台能有效地监控仪器设备的能耗数据,有助于实现精细化管理并对节能减排和提高能源利用率提供技术保障.
In order to effectively monitor experiment equipment and collect energy consumption data to support the scientific management and intelligent decision,the technologies of IOT(Internet of things)and IPv6 were adopted to deploy smart devices to monitor equipment and compute power energy consumption.A hierarchical and loose-coupled architecture for software platform was designed.Web service was used as middleware to the data upload and hardware control.The corresponding power consumption analysis algorithms were proposed to handle and analyze collected data.Finally,the monitoring platform was completed and achieved,in which data analysis and statistical results were organized in the form of the graphical display,showing the energy consumption and equipment state in real time.This platform could effectively monitor the experiment equipment for the refinement management and improve the energy efficiency,which provides a technical support to the energy saving and emission reduction.
作者
高洪皓
张康
倪剑樾
许华虎
Gao Honghao Zhang Kang Ni Jianyue Xu Huahu(Computing Center School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China)
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2016年第11期127-132,共6页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
赛尔网络下一代互联网技术创新项目(NGII20150609)
国家自然科学基金资助项目(61572306
61502294)
上海市自然科学基金资助项目(15ZR1415200)
上海市科委重点资助项目(14590500500)