Computer Engineering and Applications ›› 2019, Vol. 55 ›› Issue (9): 203-210.DOI: 10.3778/j.issn.1002-8331.1712-0423

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Optimization Method of UWB Deployment for Real-Time Positioning in Discrete Manufacturing Workshop

WU Qi, GUO Yu, HUANG Shaohua, GE Yanjiao, ZHANG Rong   

  1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Online:2019-05-01 Published:2019-04-28


吴  旗,郭  宇,黄少华,葛妍娇,张  蓉   

  1. 南京航空航天大学 机电学院,南京 210016

Abstract: Aiming at the “signal blind spot” problem caused by the irrational deployment of UWB sensors in discrete manufacturing workshop, this paper puts forward a deployment optimization method based on animproved genetic algorithm. The performance of UWB positioning in discrete manufacturing workshop and the problem of continuous deployment in large space are analyzed. The two-step mathematic models are constructed for deployment and optimization, with the goals of minimizing the cost and maximum positioning precision separately. Then the model is solved based on an improved genetic algorithm within OpenCL framework. The effectiveness and feasibility is verified through the comparison between the proposed method and other algorithms.

Key words: discrete manufacturing workshop, Ultra Wide Band(UWB), real-time positioning, genetic algorithm, deployment optimization

摘要: 针对超宽带(Ultra Wide Band,UWB)技术在离散制造车间实时定位中,存在的由于定位UWB传感器部署不合理导致的制造要素“离线”问题,结合离散制造车间特点,提出了一种基于改进遗传算法的部署优化方法。对UWB定位在离散制造车间中的性能与大空间连续部署问题进行了分析研究;从部署与优化两个阶段过程分别以最小成本和最大定位精确度为目标构建模型;采用改进遗传算法并基于OpenCL并行计算框架求解模型,以某车间为例进行部署求解,通过与常规方法和其他算法运算结果的对比分析,验证了该方法的有效性与可行性。

关键词: 离散制造车间, 超宽带(UWB), 实时定位, 遗传算法, 部署优化