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国产电子元器件选型现状研究与应用

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随着武器装备向智能化、集成化发展,武器装备上机上装直接选用的电子元器件的规格和数量大幅增加.以传统电子元器件数据管理模式和试制为主的研发模式,与型号快速集成、快速验证、快速交付等快速研发要求存在的矛盾愈发突出.通过调研目前电子元器件的选用现状,利用大数据和机器学习等信息技术,构建了采集端-管理端-业务端为一体的信息化软件,并将其应用于电子元器件数据采集、数据清洗、选型设计场景中,以提高选型的便捷性和准确性,实现智慧选型,服务和推动装备的高质量发展和高水平建设.
Research and Application of the Current Status of Domestic Electronic Components Selection
As equipment developing toward intelligence and integration,the specifications and quantities of electronic components used in gunships have increased significantly,which brought a certain contradiction between the traditional elec-tronic component data management model and the R&D model based on trial production,with the rapid R&D requirements such as rapid model integration,rapid verification,and rapid delivery.By investigating the current selection status of elec-tronic components and using information technologies such as big data and machine learning,an integrated information soft-ware was established based on the collection end-management end-business end,which was used in electronic component da-ta collection,data cleaning,and selection design scenarios to improve the convenience and accuracy of selection,so as to re-alize smart selection,serve and promote high-quality development and high-level construction of the equipment.

electronic componentsequipmentsmart selection manualsdata collectiondata cleaningselection design

贾阳光、翟建华

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中国兵器工业新技术推广研究所,北京 100089

北京中科软科技有限公司,北京 100190

电子元器件 装备 智选手册 数据采集 数据清洗 选型设计

2024

新技术新工艺
中国兵器工业新技术推广研究所

新技术新工艺

影响因子:0.294
ISSN:1003-5311
年,卷(期):2024.443(11)