Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory

Wan, J. and Yang, J. and Wang, S. and Li, D. and Li, P. and Xia, M. (2020) Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. IEEE Transactions on Industrial Informatics, 16 (9). pp. 6059-6068. ISSN 1551-3203

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In the context of Industry 4.0, extensive deployment and application of advanced manufacturing equipment and various sensors is leading to a growing demand for data exchange between different devices. In smart factories, network transmission has multiprotocol features of wired/wireless communication, and different data flows have different real-time requirements. In this article, a heterogeneous network architecture based on software-defined network is proposed for realizing cross-network flexible forwarding of multisource manufacturing data and optimized utilization of network resources. Subsequently, the mechanism of cross-network fusion and scheduling (CNFS) is analyzed from the perspective of high dynamic characteristics and different delay requirements of data flows. Based on this analysis, a route-aware data flow dynamic reconstruction algorithm is proposed. The proposed algorithm improves the efficiency of manufacturing data cross-network fusion, especially for multivariety and small-batch intelligent manufacturing systems. Furthermore, for meeting the bandwidth requirements of different delay flows, a delay-sensitive network bandwidth scheduling algorithm is proposed. Finally, the effectiveness of the proposed CNFS mechanism is verified using a candy packaging intelligent production line prototype platform. © 2005-2012 IEEE.

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Journal Article
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IEEE Transactions on Industrial Informatics
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19 Jun 2020 10:45
Last Modified:
22 Nov 2022 09:09