工业大数据环境下的智能服务模块化设计
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  • 英文篇名:Modular Design of Intelligent Service Based on Industrial Big Data
  • 作者:张卫 ; 丁金福 ; 纪杨建 ; 夏文俊 ; 兰虎 ; 章建辉
  • 英文作者:ZHANG Wei;DING Jinfu;JI Yangjian;XIA Wenjun;LAN Hu;ZHANG Jianhui;Smart Manufacturing and Advanced Equipment Research Center,Zhejiang Normal University;The State Key Lab of Fluid Power and Mechatronic System,Zhejiang University;Institute for Manufacturing,Department of Engineering,University of Cambridge;Zhejiang Wanliyang Co.,Ltd.;
  • 关键词:制造服务 ; 模块化 ; 智能服务 ; 工业大数据 ; 结构矩阵模型
  • 英文关键词:manufacture service;;modularization;;intelligent service;;industrial big data;;structure matrix model
  • 中文刊名:ZGJX
  • 英文刊名:China Mechanical Engineering
  • 机构:浙江师范大学智能制造技术与装备研究中心;浙江大学流体动力与机电系统国家重点实验室;英国剑桥大学工程系制造研究院;浙江万里扬股份有限公司;
  • 出版日期:2019-01-23 16:19
  • 出版单位:中国机械工程
  • 年:2019
  • 期:v.30;No.506
  • 基金:国家社会科学基金资助项目(17BGL086)
  • 语种:中文;
  • 页:ZGJX201902007
  • 页数:8
  • CN:02
  • ISSN:42-1294/TH
  • 分类号:45-51+60
摘要
通过对制造与服务融合中服务运作环境和服务主体需求的分析,提出了一种智能服务的模块化设计方法,该方法采用工业大数据和模块化技术构建智能服务模块体系,包含智能服务大数据环境、智能服务模块分解和智能服务模块优化。利用工业大数据分析智能服务应用、技术和管理三个维度的关系,建立智能服务的模块化设计策略,确定智能服务的初始化模块分解,再基于结构矩阵模型将智能服务初始化模块优化为智能服务模块。通过具体实例的应用,证明了工业大数据环境中智能服务模块化设计策略的可行性和优越性。
        Through the analysis of service operation environment and service body requirements in the integration of manufacturing and serving,a modular intelligent service design method was created.This method is based on industrial environment of big data,adopted modular technical construction,covering intelligent service big data support,intelligent service modular decomposition and intelligent modular optimization.The relationships amony intelligent service applications,techniques and management were analyzed with industrial big data,the modular design strategy of intelligent service were made,the initialized modular decomposition of intelligent service was determined,and then intelligent service modules were optimized based on the structure matrix model.Through the applications of specific instances,the feasibility and the superiority of the modular design strategies of intelligent service under the environment of industrial big data were displayed.
引文
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