计算机集成制造系统 ›› 2016, Vol. 22 ›› Issue (第3期): 672-685.DOI: 10.13196/j.cims.2016.03.011

• 产品创新开发技术 • 上一篇    下一篇

纺织机械制造企业数字化智能化制造与管理平台设计与实现

李西兴,郭顺生,杜百岗   

  1. 武汉理工大学机电工程学院
  • 出版日期:2016-03-31 发布日期:2016-03-31
  • 基金资助:
    国家自然科学基金资助项目(71171154);中央高校基本科研业务费资助项目(2015-zy-047);湖北省科技支撑计划资助项目(2014BAA032)。

Design and implementation of digital & intelligent management platform for textile machinery manufacturing enterprise

  • Online:2016-03-31 Published:2016-03-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.71171154),the Fundamental Research Funds for the Central Universities,China(No.2015-zy-047),and the Science and Technology Supporting Plan of Hubei Province,China(No.2014BAA032).

摘要: 针对纺织机械制造企业产品加工制造全生命周期的数据管理问题,基于企业内部现有加工制造过程中的数据流和信息流,构建了面向企业领导决策层、业务管理层和业务执行层的数字化智能化管理模型;为解决数据集成、传递和共享问题,提出了基于Web Service和数据库中间表的异构数据集成方法,实现了纺织机械制造数字化智能化管理平台的数据集成与共享,同时结合信息化数据管理的特点和要求,搭建了基于数据驱动和权限分配的可重构业务流程数据监控模型。设计和开发了针对纺织机械制造企业的数字化智能化管理平台,并通过在企业中的实际应用证明了方案的可行性。

关键词: 纺织机械制造企业, 数字化智能化管理, 数据集成, 数据共享, 数据流程监控

Abstract: Aiming at the manufacturing process data management problems in textile machinery manufacturing enterprise,a digital management model for leadership decision making,business management and business execution based on data flow and information flow in the existing manufacturing process was constructed.To solve the problems of data integration,transformation and sharing,a heterogeneous data integration method based on Web Service and middle-table was proposed,which realized the data integration and sharing of digital & intelligent management platform for textile machinery manufacturing enterprise.At the same time,a reconfigurable monitoring model of business process based on data driven and power allocation was built to meet the requirement of digital management.A digital & intelligent management platform for textile machinery manufacturing enterprise was designed to prove the feasibility of proposed method.

Key words: textile machinery manufacturing enterprise, digital and intelligent management, data integration, data sharing, data process monitoring

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