Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Construction and Application Analysis of Information Model for Automotive Industry Test Equipment

Authors
Jun Zhu1, *, Jia Zhao1, Yang Liu1, Ran Bo1
1China Automotive Technology&Research Center Co. Ltd, Automotive Data of China Co., Ltd, Tianjin, 300380, China
*Corresponding author. Email: zhujun@catarc.ac.cn
Corresponding Author
Jun Zhu
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_90How to use a DOI?
Keywords
Test equipment data; Information model; Edge collection
Abstract

Experimental data is an important resource for detecting and evaluating the performance and safety of automobiles. The current experimental equipment has a wide variety of data types and a large amount of data, which can be effectively managed and used through information models. Therefore, this article focuses on the field of automotive testing, dividing test equipment data into equipment, projects, results, and controls, and abstracting the categories, attributes, and association relationships of the data to construct an automotive test equipment information model. Based on this model, XML language is used to define semantic standards, which are applied to edge gateways to achieve semantic conversion and format encapsulation of collected data, ensuring the standardization and uniformity of test equipment data, Lay the foundation for the application of experimental data.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
10.2991/978-94-6463-264-4_90
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_90How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jun Zhu
AU  - Jia Zhao
AU  - Yang Liu
AU  - Ran Bo
PY  - 2023
DA  - 2023/09/28
TI  - Construction and Application Analysis of Information Model for Automotive Industry Test Equipment
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 780
EP  - 787
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_90
DO  - 10.2991/978-94-6463-264-4_90
ID  - Zhu2023
ER  -