@inproceedings{f6221985050147e3854260d04636ef35,
title = "Data Modeling Method and Application Practice on Identifiable Digital Object",
abstract = "The intelligent optimization closed loop of 'data-driven + industrial knowledge' is applied to the entire industrial chain and the entire value chain of the industry. The volume of industrial data is gradually increasing rapidly, and the content of industrial data is constantly enriched. A standardized industrial data model becomes the key to accelerating the precipitation, abstraction and reuse of industrial information. Based on the open and shared network ecosystem, this paper proposes the creation method and multi-role use process of the identifiable digital object (IDO) data model, and selects a specific industry product life cycle management scenario for data evaluation and analysis, and verifies the establishment of IDO It provides a more effective and complete method for users to share necessary industry information within or across enterprises.",
keywords = "data model, identification, interoperability",
author = "Bin Xie and Juan Tian and Cheng Chi and Yang Liu",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2023 ; Conference date: 08-05-2023 Through 11-05-2023",
year = "2023",
doi = "10.1109/ICPS58381.2023.10127990",
language = "English",
series = "Proceedings - 2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems, ICPS 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - 2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems, ICPS 2023",
address = "United States",
}