基于RFID和遗传算法的实时炸药仓储优化操作

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

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.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.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/Abstract

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

付华伟1，何小敏1，许亮1,3，李秀喜2，黄志平3. 基于RFID和遗传算法的实时炸药仓储优化操作[J]. J4, 2014, 36(02): 286-291.

FU Huawei1，HE Xiaomin1，XU Liang1,3，LI Xiuxi2,HUANG Zhiping3. A optimized realtime operation for explosives storage based on RFID and genetic algorithm [J]. J4, 2014, 36(02): 286-291.

参考文献

［1］Sun Yongbo,Zhong Feng.Current situation and development prospects of production equipment of emulsion explosives［J］Blasting,2010, 27(3):9496.(in Chinese)
［2］Li Yu.RFID technology in detonator product safety steward of the application of the principle［D］.Beijing:Beijing University of Science and Technology,2008.(in Chinese)
［3］Chen Yuan, Zhang Jing, Huang Lifeng. Study on dangerous goods logistics model based on RFID and GPRS［J］. Packaging Engineering, 2008,29(5):7880.(in Chinese)
［4］Zhang Haijun,Yue Puxiu,Zhu Jie.A realization of optimal orderpicking for irregular multilayered warehouse［C］∥Proc of International Seminar on Business and Information, 2008:2832.
［5］Zhang Haijun,Liu Bingwu.A new genetic algorithm for orderpicking of irregular warehouse［C］∥Proc of International Conference on Environmental Science and Information Application Technology, 2009:121124.
［6］Zhang G Q, Lai K K.Combining path relinking and genetic algorithms for the multiplelevel warehouse layout problem［J］. European Journal of Operational Research, 2004,29(9):413425.
［7］Lam C H Y, Choy K L,Ho G T S.A hybrid case—GAbased decision support model for warehouse operation in fulfilling crossborder orders［J］. Expert Systems with Applications, 2012,39(8):70157028.
［8］Pang Long,Lu Jingui.Order picking optimization of automated warehouses based on the colony genetic algorithm［J］.Computer Engineering & Science,2012,34(3):148151.(in Chinese)
［9］Poon T C, Choy K L,Chan F T S, et al. A real time warehouse operation planning system for small batch replenishment problems in production environment［J］.Expert Systems with Applications, 2011,38(1):85248537.
附中文参考文献：
［1］孙永波,仲峰.乳化炸药生产设备现状与发展方向［J］.爆破,2010,27(3):9496.
［2］李宇.RFID技术在雷管产品安全管理中的应用［D］.北京:北京理工大学,2008.
［3］陈媛,张静,黄丽丰.基于RFID和GPRS技术的危险品物流系统模型研究［J］.包装工程,2008,29(5),7880.
［8］庞龙,陆金贵.基于蚁群遗传算法的自动化立体仓库拣选路径优化［J］.计算机工程与科学,2012,34(3):148151.

[1]	毛媛媛, 石恩雅, 蒋从锋, 仇烨亮, 贾刚勇, 万健, 闫龙川. 基于遗传算法的数据中心能效仿真[J]. 计算机工程与科学, 2021, 43(08): 1341-1352.
[2]	胡新荣, 刘嘉文, 刘军平, 彭涛, 何儒汉, . 基于改进GA-BP-MC神经网络的人体三维尺寸预测[J]. 计算机工程与科学, 2021, 43(08): 1443-1453.
[3]	李静, 莫思敏 . 基于改进遗传算法的深度神经网络优化研究[J]. 计算机工程与科学, 2021, 43(08): 1503-1511.
[4]	李晶晶, 许少华. 基于组合核函数的径向基过程神经网络及其在示功图诊断中的应用[J]. 计算机工程与科学, 2021, 43(04): 746-752.
[5]	季子豪, 江凌云. 一种基于遗传算法的多站点协同计算卸载算法[J]. 计算机工程与科学, 2021, 43(03): 426-434.
[6]	贾俊杰, 秦海涛. 基于遗传算法的动态轨迹匿名算法[J]. 计算机工程与科学, 2021, 43(01): 142-150.
[7]	李丹莲, 曹倩, 徐菲. 基于改进遗传算法的连锁便利店配送路径优化[J]. 计算机工程与科学, 2020, 42(11): 2096-2102.
[8]	陈旺虎，田真，张礼智，梁小燕，高雅琼. 基于插值的高维稀疏数据离群点检测方法[J]. 计算机工程与科学, 2020, 42(06): 966-972.
[9]	王硕禾1，刘旭1，李苏晨1，张国驹2. 基于多目标遗传算法的LoRa参数匹配优化[J]. 计算机工程与科学, 2020, 42(03): 434-440.
[10]	马晗，常安定，陈童，李江杰. 基于文化混合优化算法的旅行商问题求解[J]. 计算机工程与科学, 2019, 41(07): 1273-1278.
[11]	刘华1，杨春曦1，韩光松2，谢可心1. N状态二进制一致性算法设计及其优化[J]. 计算机工程与科学, 2019, 41(06): 1009-1015.
[12]	文常保，马文博，刘鹏里. 基于改进遗传算法的RBF神经网络结构优化研究[J]. 计算机工程与科学, 2019, 41(05): 917-923.
[13]	梁雪慧1，2，赵嘉祺2. 人工鱼群与遗传混合算法在无人艇路径规划中的应用[J]. 计算机工程与科学, 2019, 41(05): 942-947.
[14]	李进生，蒙江，童名文. 基于分布式遗传算法的水质传感器布置优化研究[J]. 计算机工程与科学, 2019, 41(03): 545-550.
[15]	颜学龙,汪斌斌. 自适应狼群算法优化ELM的模拟电路故障诊断[J]. 计算机工程与科学, 2019, 41(02): 246-252.