计算机工程

• 体系结构与软件技术 • 上一篇    下一篇

自动导引车云导引平台的研究与设计

邢海洋1,2,张军1,2,王楠1,2   

  1. (1.河北工业大学 计算机科学与软件学院,天津 300401; 2.河北省大数据计算重点实验室,天津 300401)
  • 收稿日期:2016-07-06 出版日期:2017-07-15 发布日期:2017-07-15
  • 作者简介:邢海洋(1991—),男,硕士研究生,主研方向为嵌入式系统、大数据处理;张军(通信作者),副教授、博士;王楠,硕士研究生。
  • 基金项目:
    天津市自然科学基金“室外环境下机器人有毒有害气体多源嗅觉定位研究”(14JCYBJC18500)。

Research and Design of Automated Guided Vehicle Cloud Guided Platform

XING Haiyang 1.2,ZHANG Jun 1,2,WANG Nan 1,2   

  1. (1.School of Computer Science and Engineering,Hebei University of Technology,Tianjin 300401,China; 2.Key Laboratory of Big Data Computing in Hebei Province,Tianjin 300401,China)
  • Received:2016-07-06 Online:2017-07-15 Published:2017-07-15

摘要: 针对传统自动导引车(AGV)导引方式存在抗干扰弱、灵活性差、造价高等问题,提出一种基于云端的导引方式,设计并实现了该导引方式的云导引平台(CBGP)。该平台系统中CBGP服务器提供平台接入、通信和任务执行管理等功能,MapReduce计算框架和HDFS文件系统提供分布式路径计算和存储。实验结果表明,CBGP平台能够较好地应用并行路径规划算法,并提供合适的路径完成云端导引AGV的任务。

关键词: 自动导引车机器人, 基于云导引, 分布式计算, 路径规划, 蚁群优化

Abstract: Aiming at the problems that the guidance mode of traditional Automated Guided Vehicle(AGV)has weak anti-interference,low flexibility,and high cost,this paper proposes a new cloud-based guidance mode,and designs and implements the core Cloud-based Guided Platform(CBGP) providing the guidence.The CBGP server provides access to the platform,communication and management functions,MapReduce computing framework and HDFS file system provide distributed computing and storage.Experimental results show that the CBGP platform can apply a good path planning algorithm to provide the appropriate path and complete the task of cloud guided AGV.

Key words: Automated Guided Vehicle(AGV) robot, Cloud-based Guidance(CBG), distributed computing, path planning, Ant Colony Optimization(ACO)

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