Abstract
With the popularity and rapid iteration of mobile devices and Internet of things IoT devices, as well as the rapid development of machine learning research and application, the demand for edge computing on edge devices has greatly increased. Based on aeroengine test data and artificial intelligence algorithm, we build a lightweight, plug and plug-and-play, configurable and fast response edge computing architecture for system implementation. It has faster response speed, collects and processes data sets directly on the terminal equipment, and carries out model training or model operation locally. Then, taking the real-time correction of aeroengine intake total temperature as an experiment, on the edge device of the intelligent data analysis system, run different algorithms in the algorithm library of the system for performance comparison, and obtain the effectiveness and accuracy of various algorithms in the system.
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This research comes from the external project of AECC Sichuan Gas Turbine Establishment.
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Wang, K. et al. (2022). Intelligent Data Analysis System Based on Edge Computing. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13339. Springer, Cham. https://doi.org/10.1007/978-3-031-06788-4_7
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DOI: https://doi.org/10.1007/978-3-031-06788-4_7
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