摘要
高校的实验室与设备管理工作需要大量的人力资源投入,无形中制约了管理效率的提升,而集成人工智能技术可以提高管理的智能化水平。本文介绍了机器学习、计算机视觉、自然语言处理、机器人学等人工智能技术的特点,它们可以运用于实验资源配置、实验室安全监控、设备维护和故障检测、自动化实验设备运用、实验数据分析、培训与教育等实验室与设备管理的场景。同时提出人工智能技术虽然具有很多优点,但其运用也面临技术缺陷性、投入成本高、数据安全隐患等一系列潜在问题,需要在采用人工智能技术时加以考量。
In colleges and universities,laboratory and equipment management demands significant human resources,which restricts the enhancement of management efficiency.However,with the incorporation of artificial intelligence technology,the management intelligence can be elevated.This paper introduces the features of various artificial intelligence technologies such as machine learning,computer vision,natural language processing,robotics,etc.These technologies find potential applications in tasks like experimental resource allocation,laboratory safety monitoring,equipment maintenance and fault detection,automation of experimental equipment,experimental data analysis,and training and education.Yet,while these advancements offer great promise,the adoption of artificial intelligence in laboratory and equipment management also poses challenges such as technical deficiencies,high input costs,data security risks,etc.,which must be acknowledged and addressed.
作者
胥刚
季金林
冯琦胜
牟兰
蔡明
Xu Gang;Ji Jinlin;Feng Qisheng;Mu Lan;Cai Ming(College of Pastoral Agriculture Science and Technology,National Demonstration Center for Experimental Grassland Science Education,Lanzhou University,Lanzhou 730020,Gansu,China;College of Landscape Architecture and Horticulture Sciences,Southwest Forestry University,Kunming 650224,Yunan,China;Academy of Grassland and Animal Sciences,Kunming 650212,Yunan,China)
基金
云南院士工作站项目(202305AF150154)
甘肃省科技计划项目(23CXNA0012)。
关键词
人工智能
实验室管理
实验设备
机器学习
artificial intelligence
laboratory management
lab equipment
machine learning
