面向离散制造物联车间的UWB实时定位系统设计
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摘要
离散型制造业生产过程复杂多变,制造资源具有更为广泛的动态特性,为进行有效的制造资源管理控制,实现制造物联车间实时位置数据的采集,基于制造物联事件主动感知技术架构,提出了一种离散制造物联车间资源定位管理模型,设计了一种基于超宽带技术的制造资源定位系统,改进了一种基于自适应阈值函数的小波阈值去噪算法并实现,能够有效降低外界因素的干扰,减少定位误差,实现对离散制造车间制造资源的实时定位,有效获取人员、物料、物流车辆等制造资源的位置数据,便于进行资源感知和调度管理,从而提升管理标准及产品品质。
The manufacturing process of discrete manufacture is complex and varied,manufacturing resources have a wider dynamic characteristics,in view of control management manufacturing resources effectively,realization gathering real-time location data of IoMT-based workshop,A management system of resourceslocating for IoMT-based discrete plant was established based on an active perception technical framework of manufacturing data,and designed a positioning system for Manufacturing resources based on UWB,improve a wavelet threshold de-noising algorithm based on adaptive threshold function and realized,can reduce the interference of external factors effectively,reduce the error of positioning,and could gathering realtime location of IoMT-based workshop,access the location of the manufacturing resources effectively,such as the staff,material,logistics vehicles,convenient for awareness and scheduling management,Finaly improve the management standard and product quality.
The manufacturing process of discrete manufacture is complex and varied,manufacturing resources have a wider dynamic characteristics,in view of control management manufacturing resources effectively,realization gathering real-time location data of IoMT-based workshop,A management system of resourceslocating for IoMT-based discrete plant was established based on an active perception technical framework of manufacturing data,and designed a positioning system for Manufacturing resources based on UWB,improve a wavelet threshold de-noising algorithm based on adaptive threshold function and realized,can reduce the interference of external factors effectively,reduce the error of positioning,and could gathering realtime location of IoMT-based workshop,access the location of the manufacturing resources effectively,such as the staff,material,logistics vehicles,convenient for awareness and scheduling management,Finaly improve the management standard and product quality.
引文
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[11]吴光文,王昌明,包建东,等.基于自适应阈值函数的小波阈值去噪方法[J].电子与信息学报,2014,36(6):1340-1347.
[2]侯瑞春,丁香乾,陶冶,等.制造物联及相关技术架构研究[J].计算机集成制造系统,2014,20(1):11-20.
[3]贺长鹏,郑宇,王丽亚,等.面向离散制造过程的RFID应用研究综述[J].计算机集成制造系统,2014,20(5):1160-1170.
[4]Chehri A,Fortier P,Tardif P M.UWB-based sensor networks for localization in mining environments[J].Ad Hoc Networks,2009,7(5):987-1000.
[5]周刚.基于UWB定位的变电站作业安全监控技术研究[J].中国安全生产科学技术,2016,12(8):125-129.
[6]戴波,李志超,刘学君,等.基于泰森多边形的UWB危化品堆垛仓储货物定位技术[J].化工学报,2016,67(3):878-884.
[7]孙继平.矿井宽带无线传输技术研究[J].工矿自动化,2013,39(2):1-5.
[8]薛梅,夏长亮,王慧敏,等.基于DSP的开关磁阻电机磁链特性检测与神经网络建模[J].电工技术学报,2011,26(2):68-73.
[9]He Q,Wang X,Zhou Q.Vibration sensor data denoising using a time-frequency manifold for machinery fault diagnosis[J].Sensors,2013,14(1):382-402.
[10]Jia L,Sun Z,Chen Y,et al.The application of wavelet transformation in pulsar signal denoising[C]//Transportation,Mechanical,and Electrical Engineering(TMEE),2011 International Conference on.IEEE,2011:2480-2483.
[11]吴光文,王昌明,包建东,等.基于自适应阈值函数的小波阈值去噪方法[J].电子与信息学报,2014,36(6):1340-1347.