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Research and Design of a Path Planning Algorithm in the Intelligent Logistics Sorting System

机译:智能物流分拣系统中路径规划算法的研究与设计

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摘要

In order to improve the intelligence of the logistics sorting system, a new path planning algorithm is proposed, which enables AGV (Automated Guided Vehicle) to sort and transport the parcels automatically. The AGV, applied in model of AGV logistics sorting system presented in this paper, could classify the parcels waiting to be sorted effectively through the input image processing of UVC (USB video class) camera and the independent weight detection. Applying passive RFID positioning technology, a path will be designed to transport the parcels to the designated unloading port. Thus the task of sorting parcels is completed. Compared to the widely used mechanical sorting system, this system makes transport routes more flexible and the sorting more efficient, meanwhile, the cost is lower with the passive RFID network to design the AGV navigation. At last, several simulated texts were well carried out on the experimental platform and the effectiveness and practicability of the system is verified.
机译:为了提高物流分拣系统的智能性,提出了一种新的路径规划算法,该算法使AGV(自动导引车)能够自动对包裹进行分拣和运输。该AGV应用于本文提出的AGV物流分拣系统模型中,可以通过UVC(USB视频类)摄像机的输入图像处理和独立的重量检测来对等待分拣的包裹进行有效分类。应用无源RFID定位技术,将设计一条路径将包裹运输到指定的卸货口。这样,完成了包裹的分拣任务。与广泛使用的机械分类系统相比,该系统使运输路线更加灵活,分类效率更高,同时,使用无源RFID网络设计AGV导航的成本更低。最后,在实验平台上进行了很好的仿真实验,验证了该系统的有效性和实用性。

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