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作 者:张兵 苗琪琪 张株瑞 刘晓冰[2] Zhang Bing;Miao Qiqi;Zhang Zhurui;Liu Xiaobing(Information Office of Technology Center,Xiang Electric Manufacturing Group,Xiangtan 411100,Hunan,China;School of Management and Economics,Dalian University of Technology,Dalian 116024,Liaoning,China;Intelligent Manufacture Department of Dalian Hi-Think Computer Technology,Dalian 116085,Liaoning,China)
机构地区:[1]湘电集团技术中心信息化室,湖南湘潭411100 [2]大连理工大学经济管理学院,辽宁大连116024 [3]大连华信计算机技术股份有限公司,辽宁大连116085
出 处:《计算机应用与软件》2022年第11期57-65,共9页Computer Applications and Software
基 金:国家社科规划基金项目(19BGL029)。
摘 要:为了将电机在需求、设计、加工、装配、检测、使用和维护环节的质量大数据集成,利用大数据分析技术充分挖掘质量知识,以提升电机制造质量和服务质量。以电机生命周期为主线,给出电机全生命周期质量大数据含义及特点,利用数据挖掘、机器学习等大数据技术方法,构建电机全生命周期质量大数据管控系统,详细设计电机质量需求与设计管控子系统、电机制造质量管控子系统、电机服役质量管控子系统和电机质量大数据应用中心。湘潭电机股份有限公司开发并运行该系统,实践表明,所构建的系统实现了电机质量控制的实时化、透明化、全面化和智能化。In order to integrate the quality big data of the electric motor in the demand,design,processing,assembling,testing,use and maintenance,we make full use of the big data analysis technology to fully mine the quality knowledge,and improve the manufacturing quality and service quality of the electric motor.Taking the electric motor life cycle as the main line,this paper introduced the meaning and characteristics of the big data of electric motor life cycle quality.Using big data technology methods such as data mining and machine learning,a big data management and control system of motor life cycle quality was built.We designed carefully the demand and design control subsystem of electric motor quality,the manufacturing process quality control subsystem of electric motor,the service process quality control subsystem of electric motor and the quality big data application center of electric motor.Xiangtan Electric Manufacturing Co.,Ltd.developed and operated the system.It is proved that the system realizes the real-time,transparent,comprehensive and intelligent quality control of the electric motor.
分 类 号:TP311.1[自动化与计算机技术—计算机软件与理论]
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