China Mechanical Engineering ›› 2022, Vol. 33 ›› Issue (03): 356-365.DOI: 10.3969/j.issn.1004-132X.2022.03.012

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Data Modeling,Integration and Storage Technology for Production Process Management and Control

SUN Yun;JIANG Haifan;DING Guofu   

  1. Institute of Advanced Design & Manufacturing,Southwest Jiaotong University,Chengdu,610031
  • Online:2022-02-10 Published:2022-02-25

面向生产过程管控的数据建模、集成与存储技术

孙云;江海凡;丁国富   

  1. 西南交通大学先进设计与制造技术研究所,成都,610031
  • 通讯作者: 丁国富(通信作者),男,1972年生,教授、博士。研究方向为数字化设计与制造、智能制造等。E-mail:dingguofu@swtju.edu.cn。
  • 作者简介:孙云,男,1995年生,硕士研究生。研究方向为生产车间数字化及智能化。E-mail:sunyun1995524@126.com。
  • 基金资助:
    国家重点研发计划(2020YFB1708000)

Abstract: Aiming at the problems of non-universal data description model, high interface maintenance cost and inefficient storage architecture during the implementation of production process management and control systems, after analyzing the production data characteristics, a unified data model was firstly constructed using the EXPRESS-G diagram. Then, various communication protocols were integrated and maintained via communication adaptation layer, and large-scale production data was stored efficiently based on Redis-MongoDB-HDFS architecture. Finally, a case study for production process management and control systems of a flexible manufacturing cell demonstrates the effectiveness and feasibility of the proposed method. 

Key words: production process management and control system, data model, data integration, data storage

摘要: 针对生产过程管控系统在实施过程中存在的统一数据模型缺乏、多种通信接口难以维护、传统存储架构性能低下等问题,在分析生产过程数据特性的基础上,基于EXPRESS-G图构建了车间统一数据模型,基于通信适配层实现了多种通信协议的集成与维护,基于Redis-MongoDB-HDFS架构实现了大规模生产数据的高性能存储。以某柔性制造单元生产管控系统的实施为例,验证了所提方法的有效性和可行性。

关键词: 生产过程管控系统, 数据模型, 数据集成, 数据存储

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