The paper aims to propose general design rules and route plan for automated guided vehicle system (AGVS). The AGVS is applied to automated meter verification areas through a case study of meter verification shop floor to verify the feasibility.
The paper gives an appropriate route design for AGVS and proposes an optimized strategy for designed routes and a control system to manage traffic conflict.
This case study indicates that the application of AGVS can highly improve the efficiency of manufacturing and production. Besides, a reasonable transportation plan is beneficial in making the system run smoothly and in cutting conveying time.
The application of AGVS integrates a variety of advanced technologies (i.e. information technology, artificial intelligence, etc.) into the electricity meter verification system, which brings great economic and social benefits via enhancing the verification efficiency and reducing the total labor costs.
The application proposed in the paper solves the problem that the verification almost relies on workers, labor intensity is high and work efficiency is hard to improve. Furthermore, the general rules and strategies of AGVS transportation can be applied not only to the automated electricity meter verification but also in other industrial areas.
The authors wish to thank Dr Liu Jian and Dr Shao Xuesong who are directors of Jiangsu Electric Power Company Research Institute, for the experiments and valuable discussion. This work was supported by: Jiangsu Key Laboratory of Precision and Micro-Manufacturing Technology and the Key Technology R&D Programme of Jiangsu Province of China [grant number BE2016004-3] and University–Industry Cooperation Prospective Joint Research Project of Jiangsu Province [Grant Number BY2015003-11].
Tu, J., Qian, X. and Lou, P. (2017), "Application research on AGV case: automated electricity meter verification shop floor", Industrial Robot, Vol. 44 No. 4, pp. 491-500. https://doi.org/10.1108/IR-11-2016-0285Download as .RIS
Emerald Publishing Limited
Copyright © 2017, Emerald Publishing Limited