摘要
随着元器件产品数量和种类的日益增长,传统模式的元器件数据管理存在一定困难和局限,随着信息技术的日益发展,可以借助大数据和人工智能技术来实现元器件数据的智慧管理。通过对传统的元器件数据管理模式进行分析,研究了基于大数据和人工智能技术的元器件数据智能采集与清洗、智慧选型、知识工程、智能分析和可视化展示的实施方法和途径,实现了元器件数据的智慧管理,对于提高电子设备的质量与可靠性具有重要的意义。
With the increase of the number and variety of component products,there are some difficulties and limitations in traditional component data management mode.And with the development of information technology,through the analysis of the traditional component data management mode,the intelligent collection and cleaning of component data,intelligent selection,knowledge engineering,intelligent analysis and visual technology based on big data and artificial intelligence are studied,and the intelligent management of component data is realized,which is of great significance to improve the quality and reliability of electronic equipment.
作者
丁春光
黄志华
沈佳塔
梁仕章
DING Chunguang;HUANG Zhihua;SHEN Jiata;LIANG Shizhang(CEPREI,Guangzhou 510610,China)
出处
《电子产品可靠性与环境试验》
2020年第1期8-11,共4页
Electronic Product Reliability and Environmental Testing
关键词
元器件
大数据
人工智能
智慧管理
component
big data
artificial intelligence
intelligent management
