• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2014, Vol. 36 ›› Issue (02): 286-291.

• 论文 • 上一篇    下一篇

基于RFID和遗传算法的实时炸药仓储优化操作

付华伟1,何小敏1,许亮1,3,李秀喜2,黄志平3   

  1. (1.广东工业大学自动化学院,广东 广州 510006;2.华南理工大学化学与化工学院,广东 广州 510640;3.广东振声科技股份有限公司,广东 梅州 514795)
  • 收稿日期:2012-08-13 修回日期:2012-12-04 出版日期:2014-02-25 发布日期:2014-02-25
  • 基金资助:

    国家科技支撑计划课题(2012BAK13B02);广东省重大科技专项(2012A080104012);广东省绿色化学产品技术重点实验室项目

A optimized realtime operation for explosives storage based on RFID and genetic algorithm           

FU Huawei1,HE Xiaomin1,XU Liang1,3,LI Xiuxi2,HUANG Zhiping3   

  1. (1.Faculty of Automation,Guangdong University of Technology,Guangzhou 510006;
    2.School of Chemistry and Chemical Engineering,South China University of Technology,Guangzhou 510640;
    3.Gaungdong Zhengsheng Science and Technology Co. Ltd.,Meizhou 514795,China)
  • Received:2012-08-13 Revised:2012-12-04 Online:2014-02-25 Published:2014-02-25

摘要:

针对炸药仓储过程管理的优化问题,提出基于RFID和遗传算法的在线炸药仓储优化操作方法,使炸药仓储管理过程更具高效化、信息化、安全化和智能化。利用RFID技术实时获取炸药仓库信息,提出了炸药仓库库位分区策略。通过对炸药仓储工作特点及要求分析,建立炸药仓储的优化数学模型,并运用遗传算法求解模型得到优化解。实验仿真结果表明,该方法能够提高仓库的空间利用率,优化炸药存取过程的行走路径,较好地解决了受炸药有效期等约束的优化操作问题。

关键词: 炸药仓储, 无线射频识别技术, 库位分区, 遗传算法

Abstract:

Aiming at optimization problems of management of explosive storage, an optimized online operation method of explosives storage based on the Radio Frequency IDentification (RFID) technology and genetic algorithm is proposed, making management of explosives storage more efficient, informatization, secure, intelligent. The information of explosives warehouse are acquired by RFID realtime technology, and an assignment strategy for location of explosive warehouse is proposed. The mathematical model of explosives storage optimization is constructed through analyzing operation characteristics of explosives storage and requirements, and the complicated model is solved by the genetic algorithm. The simulation results show that the proposed method can improve utilization rate of warehouse space, and optimize the walking path in the process of taking and putting the explosives, as well as solve the operating problems under the constraint condition, such as a validity of explosives.

 

Key words: explosives storage;radio frequency identification technology;storage location assignment;genetic algorithm