摘要
结合当前高校科研实验室建设面临的挑战,以加快实验室成果转化为导向,构建了具备科技成果展示与供需对接、实验数据云管理、智能环境监测、智能化仪器设备管理、在线科研互动交流等功能的智慧高校实验室体系架构。并以数据分析与融合、基于大数据的推荐算法和智能语音交互为技术支撑,探讨了智慧科研实验室平台后端、前端和数据存储3个方面的实现路径,以期为高校智慧科研实验室建设提供参考。
In this paper,combined with the challenges faced by the construction of scientific research laboratories in universities,aimed to accelerate the transformation of laboratory achievements,a smart laboratory system architecture has been constructed,which owns the functions of the displaying technological achievements and the connection between technology supplier and demander,experimental data managed in cloud,intelligent environment monitoring,intelligent instrument and equipment management,and online academic exchange.Based on the technologies such as data fusion and analysis,recommendation algorithm,and intelligent speech interaction,the design and implementation paths of the back-end,front-end and data storage of the smart scientific research laboratory platform has been studied,in order to provide reference for the research of intelligent laboratory in universities.
作者
章小卫
张惠芹
ZHANG Xiaowei;ZHANG Huiqin(Science and Technology Department,Yangzhou University,Yangzhou 225009,Jiangsu,China;Laboratory and Equipment Management Office,Yangzhou University,Yangzhou 225009,Jiangsu,China)
出处
《实验室研究与探索》
CAS
北大核心
2023年第4期260-264,共5页
Research and Exploration In Laboratory
基金
国家自然科学基金面上项目(61972335)
高等教育科学研究“十三五”规划2019年度实验室管理专项重点资助项目(2019SYSZD03)
江苏省产学研合作项目(BY2019253)
扬州市扬州大学科技合作专项(YZ2021150)。
关键词
大数据
云计算
智慧科研实验室
成果转移转化
big data
cloud computing
intelligent research laboratory
achievement transformation and technology transfer
