大数据
工厂(面向对象编程)
计算机科学
制造工程
数据库
系统工程
工程类
数据挖掘
程序设计语言
作者
Yujin Yang,Jianjun Gao,Zhibo Pi,Konghui Guo
出处
期刊:Journal of physics
[IOP Publishing]
日期:2020-09-01
卷期号:1631 (1): 012088-012088
被引量:2
标识
DOI:10.1088/1742-6596/1631/1/012088
摘要
Abstract 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI