中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Learning-based Edge Computing Architecture for Regional Scheduling in Manufacturing System

文献类型:会议论文

作者Xue TF(薛天放)1,2; Zeng P(曾鹏)1,2; Yu HB(于海斌)1,2
出版日期2021
会议日期July 21-23, 2021
会议地点Palma de Mallorca, Spain
关键词Distributed edge computing Flow-shop Multi-AGV Regional scheduling task Reinforcement learning
页码1-6
英文摘要This paper proposes a novel edge-computing based structure to support learning-based decision-making in industry manufacturing field. This structure consists of four functional layers, respectively realizing model establishment, task allocation and task processing work. In order to take full advantage of the distributed computing resources at the edge, the manufacturing computing task can be further decomposed into several sub-tasks, separating the complex computing problem with large problem size into regional scheduling ones with much smaller problem size. All the sub-tasks are allocated to the edges, accomplished by the algorithm deployed on computing devices of region-related edge node, which contributes to faster data-processing and problem-solving speed. A simulation test has been performed in which a multi-AGV scheduling problem was solved according to a distributed reinforcement learning method configured in such edge computing architecture. The objective of each edge node is to acquire AGV schedule of related region that minimizes the makespan. Simulation results demonstrate that this distributed edge computing system can be enabled to learn satisfying solution and converge much faster when it is compared with conventional method applied in centralized architecture.
产权排序1
会议录2021 IEEE 19th International Conference on Industrial Informatics (INDIN)
会议录出版者IEEE
会议录出版地New York
语种英语
ISSN号1935-4576
ISBN号978-1-7281-4395-8
源URL[http://ir.sia.cn/handle/173321/30550]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Xue TF(薛天放)
作者单位1.University of Chinese Academy of Sciences, Beijing 100049, China
2.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Xue TF,Zeng P,Yu HB. Learning-based Edge Computing Architecture for Regional Scheduling in Manufacturing System[C]. 见:. Palma de Mallorca, Spain. July 21-23, 2021.

入库方式: OAI收割

来源:沈阳自动化研究所

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