Abstract
Firstly, based on the research of intelligent manufacturing, the thesis analyses the birth and development goals of the Internet of Things and its application in intelligent manufacturing. It sorts out the existing IoT application technology problems in the manufacturing industry and explains the urgency of this research. The paper then analyses the characteristics of high-end assembly fault diagnosis and early warning system in the manufacturing IoT environment, and explains the connotation and characteristics of the system; constructs the overall operation framework, network environment and topology structure; and realizes system construction. Finally, the paper uses the actual case to simulate the application of the system, which verifies the feasibility and effectiveness of the research.
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Funding
This work was financially supported by the Key Research and Development Program of Shaanxi, China (No. 2019ZDLGY01-01-01) fund.
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Wang, M., Zhang, Z., Li, K. et al. Research on key technologies of fault diagnosis and early warning for high-end equipment based on intelligent manufacturing and Internet of Things. Int J Adv Manuf Technol 107, 1039–1048 (2020). https://doi.org/10.1007/s00170-019-04289-7
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DOI: https://doi.org/10.1007/s00170-019-04289-7