LAPSE:2023.32130v1
Published Article
LAPSE:2023.32130v1
An IoT-Based Traceability Platform for Wind Turbines
Jinjing An, Guoping Chen, Zhuo Zou, Yaojie Sun, Ran Liu, Lirong Zheng
April 19, 2023
In recent years, the application of traceability systems in the food and drug industry has developed rapidly, but it is rarely used for wind turbines. From the aspects of low information transparency and information islands in the supply chain process for wind turbines, a reliable traceability system is essential. However, the existing traceability systems are not suitable to be directly applied to wind turbines. Consequently, according to the characteristics of the wind power industry, a semi-centralized traceability architecture based on Internet of Things technology was proposed. Furthermore, a traceability platform was constructed by analyzing the information collected in each stage related to various user needs of wind turbines, and various applications, including manufacturing management and spare parts management, were developed. Compared with the existing systems, the proposed platform was wind-turbine-oriented, effectively improved traceability efficiency and enterprises’ information security, and extended the length of the traceability chain by integrating the after-sales information. The traceability of key components of wind turbines during their life cycle provides a useful reference for further improving the parts quality management system of the wind power industry.
Keywords
Internet of Things, traceability system, wind turbine
Suggested Citation
An J, Chen G, Zou Z, Sun Y, Liu R, Zheng L. An IoT-Based Traceability Platform for Wind Turbines. (2023). LAPSE:2023.32130v1
Author Affiliations
An J: School of Information Science and Technology, Fudan University, Shanghai 200433, China; Project Management Department, Wuxi Institute of Fudan University, Wuxi 214131, China
Chen G: School of Information Science and Technology, Fudan University, Shanghai 200433, China
Zou Z: School of Information Science and Technology, Fudan University, Shanghai 200433, China [ORCID]
Sun Y: School of Information Science and Technology, Fudan University, Shanghai 200433, China
Liu R: School of Information Science and Technology, Fudan University, Shanghai 200433, China
Zheng L: School of Information Science and Technology, Fudan University, Shanghai 200433, China
Journal Name
Energies
Volume
14
Issue
9
First Page
2676
Year
2021
Publication Date
2021-05-06
Published Version
ISSN
1996-1073
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PII: en14092676, Publication Type: Journal Article
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doi:10.3390/en14092676
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Apr 19, 2023
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