Architecture Design and Research of Smart Factory Data Platform Based on Big Data

Ying Lan ； Weijie Zhou

《International Core Journal of Engineering》 6卷6期 (2020/06) Pp. 142-148

https://doi.org/10.6919/ICJE.202006_6(6).0023

摘要

Based on the analysis of the research status of smart factories at home and abroad, the research on the architecture technology of smart factory data platform based on big data is carried out to provide technical reference for the operation analysis, prediction, decision-making regulation and digital twin information physical fusion of intelligent production. The definition and connotation of smart factory, as well as the source and characteristics of smart factory big data are discussed. The popular open source big data calculation engine of Hadoop, Spark, Storm is used to propose the data source layer, data transmission layer, data storage layer, resource management layer, and processing analysis The technical framework of the smart factory big data platform composed of the layer and the business application layer can effectively solve the requirements and difficulties of the multi-source complexity and real-time nature of smart factory big data. The proposed data platform technology architecture will have important reference value for the realization of smart manufacturing and smart factories.

關鍵字

Big Data ； Smart Factory ； Smart Manufacturing ； Digital Twins

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