Open AccessApplication of the BigData technology for processing manufacturing data at smart factories of the Industry 4.0
Author(s) -
Д А Заколдаев,
А. В. Шукалов,
И. О. Жаринов
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/560/1/012049
Subject(s) - big data , factory (object oriented programming) , industry 4.0 , computer science , theme (computing) , process (computing) , manufacturing engineering , plan (archaeology) , cloud computing , task (project management) , production (economics) , schedule , manufacturing , smart manufacturing , production line , engineering , systems engineering , business , world wide web , data mining , mechanical engineering , operating system , history , macroeconomics , archaeology , marketing , economics , programming language
The task is being studied to organize the item designing production in smart factories of the Industry 4.0 using the technology of BigData. The BigData technology is necessary to process information about the completion of theme and industrial orders. Theme and industrial orders are the sources of the industrial data at the factory. Theme orders specify the nomenclature of the products manufactured in the factory. Industrial orders specify the schedule of products and separate assembly units manufacturing. The result of the multiproduct digital manufacturing is the large amount of unstructured information that has to be processed. Processing of industrial data is conducted using specialized algorithms of BigData located in the cloud environment of a smart factory. The functional scheme of a smart factory is given to describe the components and their purpose in the level of cloud services. One cycle of a cyber and physical technological line describes the production process of a complicated item designing component.