This paper deeply studies the integration strategy of edge computing and cloud computing in intelligent manufacturing. With the rapid development of intelligent manufacturing, the traditional computing mode is difficult to meet the growing demand for data processing. Edge computing has the characteristics of low latency and distributed, while cloud computing has the advantages of resource concentration and elastic expansion. The integration of edge computing and cloud computing provides an efficient computing solution for intelligent manufacturing. This paper analyzes the theoretical basis of fusion, including the principle of improving data processing efficiency and the mechanism of enhancing system reliability. Through specific application scenarios, such as production line monitoring and optimization, industrial automation control, etc., the practical application of fusion strategy in intelligent manufacturing is described. At the same time, it also discusses the technical and security challenges faced by the integration, such as network bandwidth and delay constraints, multi-agent resource management problems, data privacy and security risks. Finally, the research is summarized, the application, challenges and solutions of the fusion strategy are summarized, and the future research directions are prospected, which provides a useful reference for the fusion development of edge computing and cloud computing in intelligent manufacturing.

Chan Mangyuen. Integration Strategy of Edge Computing and Cloud Computing in Intelligent Manufacturing. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 10: 41-46. https://doi.org/10.25236/AJCIS.2024.071006.

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