基于数据驱动的高校仪器设备维保决策探究  

Data-driven Based Maintenance Decision-making for Instrument and Equipment in Universities

作　　者：李密 LI Mi(Office of Stateowned Assets&Laboratory Equipment,Wenzhou University,Wenzhou 325035,Zhejiang,China;Pingyang Institute of Intelligent Manufactring,Wenzhou University,Wenzhou 325409,Zhejiang,China)

机构地区：[1]温州大学国资与实验室管理处,浙江温州325035 [2]温州大学平阳智能制造研究院,浙江温州325409

出　　处：《实验室研究与探索》2025年第4期236-240,共5页Research and Exploration In Laboratory

基　　金：温州市哲学社会科学规划2024年度课题(24WSK143YBM)。

摘　　要：为了提高高校仪器设备的维保管理水平,充分发挥其使用效益,结合系统可靠性与维修性理论,提出一种基于数据驱动的仪器设备维护决策方法。该方法采用参数估计法建立仪器设备的寿命分布模型,并以此为基础建立维护决策模型,同时采用粒子群算法对模型进行求解。通过对温州大学智能制造团队研发的线激光三维齿轮精度测量平台案例进行了验证,结果表明:该方法可以较为客观地反映高校仪器设备的实际维保需求,并做出精准决策;同时,提高了维保效率,节约了近50%的维保费用。该方法可供高校仪器设备维保管理参考。In order to improve the maintenance management level of instruments and equipment in universities and maximize their efficiency,a data-driven based maintenance decision-making method is proposed for instruments and equipment based on Combining system reliability and maintainability theory.The life distribution model for instruments is given with the parameter estimation method,and based on which,a maintenance decision model is established;the proposed model is solved with a particle swarm algorithm.The case of line laser three-dimensional gear accuracy measurement platform developed by the intelligent manufacturing team of Wenzhou University is verified.The results show that this method can objectively reflect the actual maintenance needs of university instruments and equipment,and make accurate decisions.The maintenance efficiency is improved,and the maintenance cost is saved by nearly 50%.The results can serve as a reference for the maintenance management of instruments and equipment in universities.

关 键 词：高校 仪器设备 管理 维保决策 

分 类 号：G482[文化科学—教育学]