广东工业大学学报 ›› 2017, Vol. 34 ›› Issue (03): 96-104.doi: 10.12052/gdutxb.160125

• 大数据基础理论与应用专题 • 上一篇    下一篇

基于RFID的工业园区生产物流联动智能管理系统

吴强1, 刘轩1, 屈挺1,2, 张婷1   

  1. 1. 广东工业大学 广东省计算机集成制造重点实验室, 广东 广州 510006;
    2. 暨南大学 电气信息学院, 广东 珠海 519070
  • 收稿日期:2016-10-11 出版日期:2017-05-09 发布日期:2017-05-09
  • 作者简介:吴强(1990-),男,硕士研究生,主要研究方向为制造物联网、生产物流管理.
  • 基金资助:

    国家自然科学基金资助项目（51475095，61473093）；广州市科学（技术）研究专项一般项目（201607010154）

RFID-based Production Logistic Synchronization Intelligent Management System in the Industrial Park

Wu Qiang1, Liu Xuan1, Qu Ting1,2, Zhang Ting1   

  1. 1. Guangdong CIMS Provincial Key Lab, Guangdong University of Technology, Guangzhou 510006, China;
    2. College of Electrical and Informatics, Jinan University, Zhuhai 519070, China
  • Received:2016-10-11 Online:2017-05-09 Published:2017-05-09

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摘要：

为解决工业园区中生产物流信息不同步、执行效率低、运作成本高等问题，将AUTOM标准物联网架构扩展为多决策、多阶段无缝信息传递的新架构，提出三层两级生产物流联动机制.在分析工业园区的生产物流运作流程的基础上，结合先进的物联网技术，开发了工业园区环境下的生产物流联动智能管理系统，该系统的智能设备联动、感知联动、信息耦合联动、决策联动等关键技术实现了生产物流信息实时化、协同化、智能化管理，提高了生产物流执行效率.

关键词: 工业园区, 物联网技术, 生产物流联动, 智能管理

Abstract:

Many problems, such as production logistic information un-synchronization, low efficiency of execution and high operation costs, exist in industrial parks. To address these problems, standard AUTOM information infrastructure is extended to a new infrastructure which supports multi-stage and multi-decision unit seamless information exchanging. And a new "three-stage two degree" production logistic synchronization has been proposed. An industrial park production logistic synchronization intelligent management system based on production logistic operation process analysis and advanced IoT technology are proposed. This system includes four key technologies, intelligent equipment synchronization, sensing synchronization, information coupling synchronization and decision-making synchronization. Apart from realizing real-time synchronization and intelligent management of production logistic information, it also improves execution efficiency.

Key words: industrial park, IoT technology, production logistics synchronization, intelligent management

中图分类号: 

  • TP274

[1] QIU X, LUO H, XU G, et al. Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP)[J]. International Journal of Production Economics, 2015, 159(2):4-15.
[2] 张霞, 鲁德银, 蔡根女. 基于产业集群的工业园区研究的理论综述及其启示[J]. 科技进步与对策, 2005, 22(4):171-173. ZHANG X, LU D Y, CAI G N. The revelation and summarize of the theory on industry section based on industry cluster[J]. Science & Technology Progress and Policy, 2005, 22(4):171-173.
[3] 房殿军. 面向工业4.0的智能工厂与智能物流系统建设[J]. 物流技术与应用, 2015(6):90-94. FANG D J. Industry 4.0 oriented intelligent industry and intelligent logistics system construction[J]. Logistics & Material Handling, 2015(6):90-94.
[4] 张映锋, 赵曦滨, 孙树栋, 等. 一种基于物联技术的制造执行系统实现方法与关键技术[J]. 计算机集成制造系统, 2012, 18(12):2634-2642. ZHANG Y F, ZHAO X B, SUN S D, et al. Implementing method and key technologies for IoT-based manufacturing execution system[J]. Computer Integrated Manufacturing Systems, 2012, 18(12):2634-2642.
[5] 程翱, 屈挺, 王宗忠, 等. 基于排队论的生产物流运输资源优化配置方法[J]. 广东工业大学学报, 2015, 32(4):83-87. CHENG A, QU T, WANG Z Z, et al. Optimal configuration of transportation resources based on queuing theory in a production logistics system[J]. Journal of Guangdong University of Technology, 2015, 32(4):83-87.
[6] HUANG G Q, ZHANG Y, JIANG P. RFID-based wireless manufacturing for real-time management of job shop WIP inventories[J]. International Journal of Advanced Manufacturing Technology, 2008, 36(7):752-764.
[7] WANG H W, CHEN S, XIE Y. An RFID-based digital warehouse management system in the tobacco industry:a case study[J]. International Journal of Production Research, 2010, 48(9):2513-2548.
[8] 汤雅连, 蔡延光, 郭帅, 等. 单车场关联物流运输调度问题的混沌遗传算法[J]. 广东工业大学学报, 2013, 30(3):53-57. TANG Y L, CAI Y G, GUO S, et al. Single-depot incident vehicle routing problem based on chaos genetic algorithm[J]. Journal of Guangdong University of Technology, 2013, 30(3):53-57.
[9] CHOW H K H, CHOY K L, LEE W B, et al. Design of a RFID case-based resource management system for warehouse operations[J]. Expert Systems with Applications, 2005, 30(4):561-576.
[10] PAPIN C, DENOUEL Y A, LAUGIER D, et al. Digital manufacturing:history, perspectives, and outlook[J]. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, 2009, 223(5):451-462.
[11] BREWER A, SLOAN N, LANDERS T L. Intelligent tracking in manufacturing[J]. Journal of Intelligent Manufacturing, 1999, 10(3):245-250.
[12] 刘卫宁, 黄文雷, 孙棣华, 等. 基于射频识别的离散制造业制造执行系统设计与实现[J]. 计算机集成制造系统, 2007, 13(10):1886-1890. LIU W N, HUANG W L, SUN D H, et al. Design and implementation of discrete manufacturing industry MES based on RFID technology[J]. Computer Integrated Manufacturing Systems, 2007, 13(10):1886-1890.
[13] CHOI S H, YANG B, CHEUNG H H, et al. RFID tag data processing in manufacturing for track-and-trace anti-counterfeiting[J]. Computers in Industry, 2015, 68:148-161.
[14] TAO F, CHENG Y, XU L D, et al. CCIoT-CMfg:cloud computing and internet of things-based cloud manufacturing service system[J]. IEEE Transactions on Industrial Informatics, 2014, 10(10):1435-1442.
[15] HUANG G Q, WRIGHT P K, NEWMAN S T. Wireless manufacturing:a literature review, recent developments, and case studies[J]. International Journal of Computer Integrated Manufacturing, 2008, 22(22):579-594.
[16] HUANG G Q, QU T, FANG M J, et al. RFID-enabled gateway product service system for collaborative manufacturing alliances[J]. CIRP Annals-Manufacturing Technology, 2011, 60(1):465-468.
[17] QU T, LEI S P, WANG Z Z, et al. IoT-based real-time production logistics synchronization system under smart cloud manufacturing[J]. International Journal of Advanced Manufacturing Technology, 2015, 84(1-4):147-164.
[18] KIM J S, LEE H J, OH R D. Smart integrated multiple tracking system development for IOT based target-oriented logistics location and resource service[J]. Journal of Human Hypertension, 2015, 9(5):195-204.
[19] ZHONG R Y, LAN S, XU C, et al. Visualization of RFID-enabled shopfloor logistics big data in cloud manufacturing[J]. International Journal of Advanced Manufacturing Technology 2015, 84(1-4):5-16.
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