疫情防控下基于大数据的高校实验中心管理系统  

Management System with Big Data for University Laboratory Center under Epidemic Prevention and Control

作　　者：杨呈永[1] 肖博怀 谢晓兰[2] 黎秋艳 张琰霖 YANG Chengyong;XIAO Bohuai;XIE Xiaolan;LI Qiuyan;ZHANG Yanlin(Network and Information Center,Guilin University of Technology,Guilin 541004,Guangxi,China;School of Information Science and Engineering,Guilin University of Technology,Guilin 541004,Guangxi,China;College of Foreign Studies,Guilin University of Technology,Guilin 541004,Guangxi,China;Department of Foreign Studies and Trade,Guilin Institute of Information Technology,Guilin 541004,Guangxi,China)

机构地区：[1]桂林理工大学网络与信息中心,广西桂林541004 [2]桂林理工大学信息科学与工程学院,广西桂林541004 [3]桂林理工大学外国语学院,广西桂林541004 [4]桂林信息科技学院外贸与外语系,广西桂林541004

出　　处：《实验室研究与探索》2021年第9期254-258,共5页Research and Exploration In Laboratory

基　　金：广西教育科学规划课题(2021B121);广西高校中青年教师基础能力提升项目(2018KY0252)。

摘　　要：实验中心是高校科研和教学的重要聚集场所。在新冠疫情的背景下,传统的实验中心管理系统已无法满足当下的疫情防控要求,需要一个先进的管理系统来提升实验室疫情防控管理水平。在传统的实验中心管理模式下融入疫情防控因素,以保障实验中心安全、有效疫情防控、提高管理效率为出发点,以大数据为框架搭建了高校实验中心数据采集、存储、预处理、预警信号生成、数据服务及应用终端传输等多层次的架构,并通过物联网感知将疫情防控因素与实验中心设备有机结合,构建了多层次、递进式的高校实验中心管理系统,为高校在疫情防控下的实验中心管理提供了新的思路与方案。The laboratory center is an important gathering place for doing research and teaching in universities.Infact,management systems in traditional laboratory centers are no longer meet the current epidemic prevention and control requirements amid COVID-19,it is inevitable to introduce an advanced management system to improve the laboratory’s epidemic prevention and control management level.It is necessary to take epidemic prevention and control factors into consideration to make innovations in the management model of traditional laboratory centers,with the starting point of ensuring the safety of the center,the implementation of epidemic prevention and control,and management efficiency.It is also necessary to include the big data in the framework to promote multi-level architecture of collection,storage,preprocessing,the generation of early warning signal,data service,and application terminal transmission and to use the intelligent sensing of the Internet of Things to makea combination of epidemic prevention and control consideration and the equipment in the laboratory center.These efforts are to develop a multi-level and progressive management system for university laboratory center and to give some perspective for universities to improve management system to strengthen pandemic prevention and control work.

关 键 词：疫情防控 大数据 实验室安全 实验中心管理 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论] G482[自动化与计算机技术—计算机科学与技术]