面向离散制造车间实时定位的UWB部署优化方法
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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。
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.
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.
引文
[1]石欣,印爱民,陈曦.基于RSSI的多维标度室内定位算法[J].仪器仪表学报,2014,35(2):261-268.
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[10]李志宇,张映锋.面向物联制造环境的高可靠RFID传感网优化配置方法[J].计算机集成制造系统,2015,21(4):1040-1045.
[11]何欣,桂小林,安健.面向目标覆盖的无线传感器网络确定性部署方法[J].西安交通大学学报,2010,44(6):6-9.
[12]Chen H,Zhu Y,Hu K,et al.RFID network planning using a multi-swarm optimizer[J].Journal of Network&Computer Applications,2011,34(3):888-901.
[13]Mahfouz M R,Zhang C,Merkl B C,et al.Investigation of high-accuracy indoor 3-D positioning using UWBtechnology[J].IEEE Transactions on Microwave Theory&Techniques,2008,56(6):1316-1330.
[14]余有明,刘玉树,阎光伟.遗传算法的编码理论与应用[J].计算机工程与应用,2006,42(3):86-89.
[15]Du P,Weber R,Luszczek P,et al.From CUDA to OpenCL:towards a performance-portable solution for multi-platform GPU programming[J].Parallel Computing,2012,38(8):391-407.
[2]Nian L,Guo Y,Wei F,et al.A new RFID-based RTLSfor discrete manufacturing workshop[C]//ASME 2014International Manufacturing Science and Engineering Conference Collocated with the JSME 2014 International Conference on Materials and Processing and the,North American Manufacturing Research Conference,2014.
[3]陈国平,马耀辉,张百珂.基于指纹技术的蓝牙室内定位系统[J].电子技术应用,2013,39(3):104-107.
[4]张红梅,韩万刚.一种新的变步长LMS自适应滤波算法研究及其应用[J].仪器仪表学报,2015,36(8):1822-1830.
[5]Huang S,Guo Y,Zha S,et al.A real-time location system based on RFID and UWB for digital manufacturing workshop[J].Procedia Cirp,2017,63:132-137.
[6]冯秀芳,吕淑芳.基于RSSI和分步粒子群算法的无线传感器网络定位算法[J].控制与决策,2014,29(11):1966-1972.
[7]Jiang J,Guo Y,Liao W.Research on AGV guided by realtime locating system(RTLS)for material distribution[J].International Journal of Control&Automation,2015,8:213-226.
[8]Zhou G,Xiao Z.A radio frequency identification based optimal material delivery method for digital plant production[J].International Journal of Computer Integrated Manufacturing,2011,24(5):493-505.
[9]贺晶晶,姜平,冯晓荣.基于UWB的无人运输车的导航定位算法研究[J].电子测量与仪器学报,2016,30(11):1743-1749.
[10]李志宇,张映锋.面向物联制造环境的高可靠RFID传感网优化配置方法[J].计算机集成制造系统,2015,21(4):1040-1045.
[11]何欣,桂小林,安健.面向目标覆盖的无线传感器网络确定性部署方法[J].西安交通大学学报,2010,44(6):6-9.
[12]Chen H,Zhu Y,Hu K,et al.RFID network planning using a multi-swarm optimizer[J].Journal of Network&Computer Applications,2011,34(3):888-901.
[13]Mahfouz M R,Zhang C,Merkl B C,et al.Investigation of high-accuracy indoor 3-D positioning using UWBtechnology[J].IEEE Transactions on Microwave Theory&Techniques,2008,56(6):1316-1330.
[14]余有明,刘玉树,阎光伟.遗传算法的编码理论与应用[J].计算机工程与应用,2006,42(3):86-89.
[15]Du P,Weber R,Luszczek P,et al.From CUDA to OpenCL:towards a performance-portable solution for multi-platform GPU programming[J].Parallel Computing,2012,38(8):391-407.