Open AccessProduct life cycle-based digital plant modelling method for process industry
Author(s) -
Zhong-Xia Gong,
Wenxin Zhang,
Tieke Li,
Bailin Wang
Publication year - 2021
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/1043/2/022049
Subject(s) - factory (object oriented programming) , product lifecycle , computer science , manufacturing engineering , product (mathematics) , process (computing) , systems engineering , production manager , production (economics) , industry 4.0 , key (lock) , product life cycle management , quality (philosophy) , industrial engineering , process management , engineering , new product development , data mining , computer security , macroeconomics , programming language , mechanical engineering , philosophy , geometry , mathematics , operating system , epistemology , marketing , economics , business
Digital factory is a core technology of intelligent manufacturing, which provides a powerful guarantee for production quality, reliability and stability. For building a digital factory of complex process industry, this paper presents a product life cycle-based data modelling method that is oriented towards the product life cycle and core business in process industry. Firstly, it identifies key manufacturing nodes and management nodes, extracts core characteristics and parameters of production, products, and equipment, and then digitizes physical entities in the plant. A data model including conceptual models and logical models is then built, thereby formalizing the entities in the plant and the relationships among them to achieve unified data integration management. This digital plant model defines equipment data, product data, quality data, product specifications, process specifications, management rules and so on to meet the requirements of both production management and production control. It builds a highly structured data model that horizontally covers multiple production lines and vertically supports multiple levels of production control and management systems, providing core technology for digital plant in complex process industry.