We can make the full use of vast multi-source data by adopting flexible methods that are used to integrate and manage them. However, current works do not consider the database features on fusing and managing data. The main objective of this paper is to design a specific framework between client and database server to fuse and manage a mass of data which come from both physical and digital wind tunnel experiments. The system always adopts the latest data fusion and database conceptions. Therefore, the user could use the physical wind tunnels’ results to verify the data worked out from virtual wind tunnels, and to utilize the latter to supplement the former. Furthermore, the data of the virtual wind tunnel could replace some practical results which cannot be acquired in the real condition.
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Hu, H., Lin, X., Wu, MY. (2008). Multi-Source Data Fusion and Management for Virtual Wind Tunnels and Physical Wind Tunnels. In: Mahr, B., Huanye, S. (eds) Autonomous Systems – Self-Organization, Management, and Control. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8889-6_7
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DOI: https://doi.org/10.1007/978-1-4020-8889-6_7
Publisher Name: Springer, Dordrecht
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Online ISBN: 978-1-4020-8889-6
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