An IoT-Based Traceability Platform for Wind Turbines
Jinjing An,
Guoping Chen,
Zhuo Zou,
Yaojie Sun,
Ran Liu and
Lirong Zheng
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Jinjing An: School of Information Science and Technology, Fudan University, Shanghai 200433, China
Guoping Chen: School of Information Science and Technology, Fudan University, Shanghai 200433, China
Zhuo Zou: School of Information Science and Technology, Fudan University, Shanghai 200433, China
Yaojie Sun: School of Information Science and Technology, Fudan University, Shanghai 200433, China
Ran Liu: School of Information Science and Technology, Fudan University, Shanghai 200433, China
Lirong Zheng: School of Information Science and Technology, Fudan University, Shanghai 200433, China
Energies, 2021, vol. 14, issue 9, 1-17
Abstract:
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: wind turbine; traceability system; Internet of Things (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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