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大型仪器设备分层化与特征化运行管理探索

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随着高校和科研院所大型仪器设备数量及其功能复杂性的增加,运行管理模式需持续创新与优化,该文基于网络共享平台的运行管理模式和土壤与环境研究领域的测试特征,对大型仪器设备的运行管理模式进行了探索。根据大型仪器设备运行特点,该文将仪器划分为常规型、环节型、耗时型、高难型等4种类型,分别采用"专职人员""专职人员培训-操作视频-送样人""专职人员培训-送样人""专职人员-送样人"等分层化模式进行运行管理,统计分析这些仪器的运行机时、操作故障、自然故障、维修情况、共享率、支撑成果等多个运行指标,结果均较为满意。该文提出的分层化与特色化大型仪器设备运行管理模式,可为大型仪器设备共享率与运行效率的提升提供参考。
Exploration of hierarchical and characteristic operation modes for large instruments and equipment
[Objective]With increasing national investment in educational and scientific research resources,universities and research institutes have seen a rise in both the number and complexity of large instruments and equipment.This presents new challenges for the conventional operation and management methods.Thus,optimizing the operation and management of these instruments to provide effective open and sharing services is crucial.This study explores and evaluates the operation and management mode for the network sharing platform of the institutional center for shared technologies and facilities at the Institute of Soil Science,Chinese Academy of Sciences,focusing on soil and environmental testing.Focus was placed on examples of large instrument and equipment operation and management,and their effects were evaluated using some main operation indicators.[Methods]Large instruments and equipment were divided into four types based on their operational characteristics:conventional type,part-experiment,time-consuming,and high-difficulty.Typical instruments and equipment in the soil and environmental field were selected as case studies.Different operation modes were applied:"technical staff,""training by technical staff and operation video and customer,""training by technical staff and customer,"and"technical staff and customer."For example,in the"training by technical staff and customer"mode,engineers participated online to solve problems promptly,ensuring the safe operation of equipment.Finally,work hours,malfunction occurrences,maintenance fees,sharing rate,and supported scientific achievements were evaluated for these instruments from 2020 to 2022.[Results]The study found that the average annual operation time of representative instruments was 2 648 h,significantly higher than the 1 359 h average of nearly 350 central universities and institutes.Manual malfunctions were minimal,with only two occurrences for the ultra-high-speed centrifuge and one for the smart-chip polymerase chain reaction(PCR)instrument.The ion chromatograph,atom fluorescence spectrometer,and smart-chip PCR instrument each experienced one natural malfunction,while the electronic paramagnetic resonance spectrometer had two.Repair fee were minimal,with only 2,000 RMB spent on the ultra-high-speed centrifuge and 3,000 RMB on the smart-chip PCR instrument.For example,the electronic paramagnetic resonance spectrometer supported more than 50 scientific projects in our institute and had an annual sharing instrument time of about 500 h for others.The study highlights that optimizing and motivating the roles of professional staff and consumers,promotes the efficient operation of large instruments and equipment,reduces resource waste,and improves usage efficiency,open and sharing rates,and scientific research benefits.[Conclusions]In conclusion,we establish a hierarchical and characteristic operation and management mode for large instruments and equipment.This mode significantly improves the open and sharing rate and operational efficiency of such instruments and equipment in universities and research institutes.

operation and management mode for large instruments and equipmentcharacteristic of instruments and equipmenthierarchical managementsoil and environmentopen and sharing

蒋倩、唐昊冶、涂勇辉、黄蓉、钱薇、朱波

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中国科学院南京土壤研究所,江苏 南京 211135

仪器设备运行模式 仪器特征 分层管理 土壤与环境 开放共享

中国科学院仪器设备功能开发技术创新项目

2024g054

2024

实验技术与管理
清华大学

实验技术与管理

CSTPCD北大核心
影响因子:1.651
ISSN:1002-4956
年,卷(期):2024.41(10)