基于大数据的高校实验室使用效率评估与优化研究  

Research on evaluation and optimization of university laboratory utilization efficiency based on big data

作　　者：唐江凌[1] TANG Jiang-Ling(Guilin Normal College,Guilin 541199,China)

机构地区：[1]桂林师范高等专科学校,桂林541199

出　　处：《实验室检测》2024年第11期152-154,共3页Laboratory Testing

基　　金：2022年度广西高校中青年教师科研基础能力提升项目“伪卫星定位关键技术的研究”(2022KY0944)

摘　　要：检测类实验室资源是高校教学和科研工作的重要支撑。如何通过大数据分析,评估检测实验室使用效率,并有针对性地提出优化建议,对于提高高校检测能力和资源利用效率具有重要意义。本文基于大数据分析方法,从检测实验室使用数据采集、存储、分析、可视化等方面入手,构建检测实验室使用效率评估模型,并提出优化策略。研究发现,检测实验室使用效率评估需要综合考虑使用频率、时长、设备利用率、样品处理能力、检测精度、检测周期等多维度指标,数据采集和处理是关键环节。针对评估中发现的问题,提出加强规划管理,完善预约系统,优化布局,建立激励机制等优化措施。本研究对于推动检测实验室管理信息化,提高检测能力和效率具有一定参考价值。Testing laboratory resources are an important support for teaching and scientific research in universities.How to evaluate the utilization efficiency of testing laboratories through big data analysis and make targeted optimization suggestions is of great significance to improving the testing capabilities and resource utilization efficiency of universities.Based on the big data analysis method,this article starts from the aspects of testing laboratory usage data collection,storage,analysis,visualization,etc.,builds a testing laboratory usage efficiency evaluation model,and proposes an optimization strategy.The study found that the evaluation of testing laboratory usage efficiency needs to comprehensively consider multidimensional indicators such as frequency of use,duration,equipment utilization,sample processing capacity,testing accuracy,testing cycle,etc.Data collection and processing are key links.In response to the problems discovered in the assessment,optimization measures such as strengthening planning management,improving the reservation system,optimizing layout,and establishing incentive mechanisms were proposed.This study has certain reference value for promoting the informatization of testing laboratory management and improving testing capabilities and efficiency.

关 键 词：高校实验室 大数据 效率评估 资源优化 

分 类 号：G647[文化科学—高等教育学]