摘要
智慧实验室是智慧校园建设的重要组成部分,是解决当前高校因实验设备更新快,设备使用率高而带来的管理难度加大、管理人员紧缺的主要途径。结合本校招生规模扩大,实验设备种类繁多、数量庞大,实验室使用率高、实验室管理人员不足的实际情况,搭载智慧校园建设的快车,利用大数据技术,从基础数据、业务数据、设计数据三个层面对高校实验室开展数据抽取、清洗、转换、挖掘和加载等工作。以此为数据输入端,基于客户机/服务器模式分布式存储服务,对平台底层存储设备进行统一的管理,设计面向实验室资产管理、运维管理、教学管理、实验管理等全要素的智慧实验管理平台,技术实现阿里云服务器API短信接口,设置短信签名与短信模板实现实验室资产的全生命期管理和对实验教学资源的科学调配。
Intelligence laboratory is an important part of the construction of smart campus. It is the main way to solve the management difficulty and shortage of management personnel caused by the rapid updating of experimental equipment with high utilization rate of equipment in colleges and universities. With the fact that the enrollment scale of our university has increased, the experimental equipment number is various and large, the laboratory utilization rate is high, and the laboratory management personnel are insufficient, with the express of smart campus construction is carried out, this paper uses big data technology, from three levels of basic data, business data and design data, to carry out data extraction, cleaning, conversion, mining and loading of university laboratories from three levels of basic data, business data, and design data, taking this as the data input terminal. As data input, distributed storage service based on client/server mode, the underlying storage equipment for unified management platform, designed for laboratory asset management, operations management, teaching management, laboratory management of the wisdom of the total factor experiment management platform, technical implementation Ali-cloud server API message interface,short message signature and short message template are set to realize the whole life management of laboratory assets and the scientific allocation of experimental teaching resources.
作者
鲁世清
刘浩男
王磊
郭洪亮
康建华
LU Shi-qing;LIU Hao-nan;WANG Lei;GUO Hong-liang;KANG Jian-hua(School of Intelligent Computing Engineering,Tianjin Renai College,Tianjin 301636,China)
出处
《齐齐哈尔大学学报(自然科学版)》
2023年第1期59-64,共6页
Journal of Qiqihar University(Natural Science Edition)
基金
2021年教育部产学研项目“构建数据科学实践环境产学合作培养实训模式研究”(202102459030)
2022年全国高等院校计算机基础教育研究会计算机基础教育教学研究项目“基于线上线下混合式‘金课’的《软件测试》课程教学模式创新与应用研究”(2022-AFCEC-509)。
关键词
数据科学
实践应用
实验管理平台
data science
practice application
lab management platform