| 基于物联网基础下的大型仪器共享平台管理模式 |
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| 引用本文： | 孙志传,王重庆,潘宜昌.基于物联网基础下的大型仪器共享平台管理模式[J].实验室研究与探索,2020(3):246-249,257. |
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| 作者姓名： | 孙志传 王重庆 潘宜昌 |
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| 作者单位： | 1.南京工业大学国有资产管理处;2.南京工业大学材料化学工程国家重点实验室 |
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| 基金项目： | 国家自然科学基金(21776124);南京工业大学实验室研究课题(2017XSY24);南京工业大学自选课题(kygl2016041);2015年江苏省高校实验室研究会(GS2019ZO06)。 |
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| 摘 要： | 大型仪器设备是高校教学实验室的关键设备,也是进行科研活动的重要资源。如何提升大型仪器设备的共享度,实现大型仪器的高效率应用成为设备管理人员面对的重要难题;设计基于物联网的自主体系结构和大型仪器共享管理体系,采用模型Model-视图View-控制器Controller(MVC)设计思想构建包括应用层、网络层和感知层3层架构的大型仪器共享平台,通过用户中心模块、统一检索和预约模块、集中式数据统计分析模块、刷卡收费模块和虚拟实验和考核等模块完成大型仪器的有效共享,实现大型仪器的科学共享和高效管理;并通过强化预约管理模式和加强实验技术人才培养来提升大型仪器的应用价值。
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| 关 键 词： | 物联网 大型仪器 共享平台 模式设计 高效管理 |
Design of Large-scale Instrument Sharing Platform Based on the Internet of Things |
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| SUN Zhichuan,WANG Chongqing,PAN Yichang.Design of Large-scale Instrument Sharing Platform Based on the Internet of Things[J].Laboratory Research and Exploration,2020(3):246-249,257. |
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| Authors: | SUN Zhichuan WANG Chongqing PAN Yichang |
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| Institution: | (.Departmant of State-owned Assets,Nanjing Tech University,Nanjing 211816,China;State Key Laboratory of Materials-oriented Chemical Engineering,Nanjing Tech University,Nanjing 211816,China) |
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| Abstract: | Large-scale instruments are the key equipment of university teaching laboratories,and also important resources for scientific activities.How to improve the sharing of large-scale instrument equipment and realize the efficient application of large-scale instrument has become an important problem for equipment managers.Based on the problems faced by the autonomous architecture of the Internet of Things and the management of large-scale instrument sharing,the MVC design concept is used to build a large-scale instrument sharing platform which includes the application layer,the network layer,and the perceptual layer.Through the user center module,unified retrieval and booking module,centralized data statistical analysis module,credit card charge module and virtual experiment and assessment module,the effective sharing and efficient management of large-scale instruments are realized.And the application value of large instruments is enhanced by strengthening management mode and training experimental workers. |
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| Keywords: | the internet of things large-scale instruments sharing platform mode design efficient management |
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