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Construction and Application of Big Data System in Automobile Intelligent Factory
Author(s) -
Yujin Yang,
Jianjun Gao,
Zhibo Pi,
Konghui Guo
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1631/1/012088
Subject(s) - big data , factory (object oriented programming) , computer science , manufacturing engineering , database , systems engineering , engineering , data mining , programming language
Under the background of intelligent manufacturing, the application of industrial big data is the key to improve the utilization efficiency of manufacturing resources. Starting from the purpose of big data application and how to replace the efficiency of enterprise resource utilization, aiming at the construction of intelligent and transparent big data system in automobile factory, this paper combed the concept of big data system construction, discussed the construction ideas of big data system, constructed the big data system framework suitable for discrete manufacturing enterprises, and gave the methods of data acquisition, transmission, storage, processing and Analysis of the specific program. For big data applications, taking the enterprise intelligent operation cockpit, intelligent electronic process system and enterprise epidemic prevention and health cloud system as examples, the scene and application effect of big data application are demonstrated. The construction and application of big data system in intelligent and transparent automobile factory provides a reference model for further promoting intelligent manufacturing driven by big data.

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