• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2018, Vol. 54 ›› Issue (16): 24-33.doi: 10.3901/JME.2018.16.024

• 特邀专栏:制造物联网与智能制造服务技术 • 上一篇    下一篇

物联网环境下面向高动态性生产系统优态运行的联动决策与控制方法

屈挺1,2, 张凯2,3, 闫勉1,2, 郭洪飞2, 黄国全2,4, 李从东2,3, 李晓敏5   

  1. 1. 暨南大学电气信息学院 珠海 519070;
    2. 暨南大学物联网与物流工程研究院 珠海 519070;
    3. 暨南大学管理学院 广州 510632;
    4. 香港大学工业及制造系统工程系 中国香港 999077;
    5. 嘉宝莉化工集团有限公司 江门 529085
  • 收稿日期:2017-08-07 修回日期:2018-04-18 出版日期:2018-08-20 发布日期:2018-08-20
  • 通讯作者: 屈挺(通信作者),男,1979年出生,博士,教授,博士研究生导师。主要研究方向为制造物联网、生产物流及供应链管理,工业工程。E-mail:quting@jnu.edu.cn
  • 作者简介:张凯,男,1989年出生,博士研究生。主要研究方向为制造物联网,生产物流管理。E-mail:zhangkai0124@sina.com;闫勉,男,1989年出生,博士,讲师。主要研究方向为工业工程,人机工效学。E-mail:yanmian@jnu.edu.cn;黄国全,男,1962年出生,博士,教授,博士研究生导师。主要研究方向为制造物联网、物流及供应链管理。E-mail:gqhuang@hku.hk;李从东,男,1962年出生,博士,教授,博士研究生导师。主要研究方向为集成化管理与企业信息化、现代工业工程。E-mail:licd@jnu.edu.cn
  • 基金资助:
    国家自然科学基金(51475095)、广东省自然科学基金(2016A030311041)、广东特支计划资(2014TQ01X706)、教育部“蓝火计划”(惠州)产学研联合创新资金(2018-2021)、中央高校基本科研业务费专项资金(11618401)和嘉宝莉化工集团有限公司资助项目。

Synchronized Decision-making and Control Method for Opti-state Execution of Dynamic Production Systems with Internet of Things

QU Ting1,2, ZHANG Kai2,3, YAN Mian1,2, GUO Hongfei2, HUANG Guoquan2,4, LI Congdong2,3, LI Xiaomin5   

  1. 1. School of Electrical and Information Engineering, Jinan University, Zhuhai 519070;
    2. Institute of Physical Internet, Jinan University, Zhuhai 519070;
    3. School of Management, Jinan University, Guangzhou 510632;
    4. Dept. Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong China 999077;
    5. Carpoly Chemical Group Co., Ltd, Jiangmen 529085
  • Received:2017-08-07 Revised:2018-04-18 Online:2018-08-20 Published:2018-08-20

摘要: 小批量及定制化生产模式下,由随机性订单、服务性资源、动态性合作等因素所引发的高度动态性使得传统以规律性生产计划为核心的生产管控方式不再适用。工业4.0等智能生产模式下,如何实时获取全局系统干扰、动态判断过程控制需求、迭代产生优化控制目标,并引导生产系统不断调整执行计划和配置结构以适应性的方式将生产系统保持在动态条件下的最优运行状态,是生产系统管控层面临的一个重要挑战。本研究选择多生产单元(例如车间)组成的大型生产系统为通用型研究对象,以外部订单变动、自身控制调整、底层执行干扰来全面定义动态运作环境,提出生产系统“三态分级引导、多段联动控制”的优态运行控制框架:通过“理论优态—实际优态—实际状态”的动态匹配机制来实时获取最优目标引导路径,再通过目标级联法进行系统多阶段联动决策而产生局部优态控制,保证系统全局实时围绕最优目标路径进行优态运行。最后结合课题组为某合作企业设计的“生产-物流”仓储优态联动运作方案,为生产系统面对高动态性问题提供了可行的实现框架与方法。

关键词: 动态性, 联动控制, 物联网, 协同决策, 优态

Abstract: The traditional production management and control methods based on regular production planning is no longer applicable in the multi-varieties and small-batch production mode due to the highly dynamics caused by random orders, service resources, dynamic cooperation and other factors. In Industry 4.0 and other intelligent production mode, how to obtain global system interference, dynamically determine process control needs and iterative optimization control objectives in order to guide the production system to continuously adjust the execution plan and configuration structure to keep the production system in an optimal state under dynamics adaptively is an important challenge for the production system management layer. A large-scale production system consisting of multiple production units (one workshop for example) was selected as a general research object and the dynamic operating environment is fully defined with changes in external orders, self-adjust control and the underlying execution interference. In addition, a three-state conducting, multi-stage synchronized controlling optimal-state operational control framework is proposed in this study, which described as to get the optimal guide path real timely through the dynamic matching mechanism of "theoretical optimal state-actual good state-actual state", and then get the local optimal state control under multi-stage synchronized control with Analysis Target Cascading method to ensure the system under an optimal target path for optimal operation. Finally, combining the production-logistics and storage optimal synchronization operation scheme designed by the research team for a cooperative enterprise, it provides a feasible framework and method for the production system to face the high dynamic problem.

Key words: collaborative decision-making, dynamics, internet of things, optimal state, synchronized control

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