Title | ||
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Real-Time Task Processing For Spinning Cyber-Physical Production Systems Based On Edge Computing |
Abstract | ||
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With a high-speed, dynamic and continuous yarn manufacturing process, spinning production suffers from different problems of dynamic disturbances such as yarn breakage, machine breakdown, and yarn quality. Processing real-time tasks is critical for tackling these problems, except for satisfying the requirements of mass production. The existing spinning cyber-physical production systems (CPPS), however, rely on a cloud center for centralized processing of real-time tasks. Thus, it becomes increasingly difficult for them to meet real-time requirements. As such, this paper proposes a novel real-time task processing method for spinning CPPS based on edge computing. First, a new hybrid structure of edge computing nodes (ECN) that consists of both 1-1 and N-1 modes is introduced for different types of tasks in spinning CPPS such as fixed tasks, decision-intensive tasks, and data-intensive tasks. Second, a collaboration mechanism is developed for collaborations between ECNs. The mathematical model and algorithms for real-time task processing are provided for a single ECN. Finally, a case study on a real spinning production is conducted. The results of this case study have demonstrated that the proposed method can significantly reduce the processing time of real-time tasks, as well as improve the production flexibility and production efficiency in spinning CPPS. The proposed method could be applied to continuous and batch manufacturing fields with high real-time requirements, such as weaving, chemical fiber production, and the pharmaceutical industry. |
Year | DOI | Venue |
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2020 | 10.1007/s10845-020-01553-6 | JOURNAL OF INTELLIGENT MANUFACTURING |
Keywords | DocType | Volume |
Edge computing, Real-time task, Resource allocation, CPPS, Spinning | Journal | 31 |
Issue | ISSN | Citations |
8 | 0956-5515 | 1 |
PageRank | References | Authors |
0.41 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shiyong Yin | 1 | 9 | 1.19 |
Jinsong Bao | 2 | 13 | 8.04 |
Jie Zhang | 3 | 1 | 2.78 |
J.X. Li | 4 | 403 | 113.63 |
Junliang Wang | 5 | 8 | 2.59 |
Xiaodi Huang | 6 | 342 | 40.33 |