An Engineering Project Management System Design of Fengyun Meteorological Satellite
DOI: 10.23977/isspj.2018.31001 | Downloads: 37 | Views: 3494
Author(s)
Zhaohui Cheng 1, Manyun Lin 2, You Ma 2, Cunqun Fan 2
Affiliation(s)
1 Cunqun Fan
2 National Satellite Meteorological Centre, Beijing, China
Corresponding Author
Cunqun FanABSTRACT
Fengyun Meteorological Satellite Engineering System has the characteristics of long construction period, huge investment, and complicated user roles involved in the project, and accumulated data and documents during project construction. In order to coordinate the management of the system and improve management efficiency, this article has designed Fengyun satellite engineering project management system. The design includes the system framework, key technologies and module functions. Through the design of this system, Fengyun satellite engineering system management is more simple and efficient.
KEYWORDS
Meteorological satellite, Engineering system, Management efficiency, Key technology.CITE THIS PAPER
Zhaohui, C., Manyun, L., You, M., Cunqun, F., An Engineering Project Management System Design of Fengyun Meteorological Satellite. Information Systems and Signal Processing Journal (2018) 3: 1-4.
REFERENCES
[1] JunYang, PengZhang, NaimengLu, et al. Improvements on global meteorological observations from the current Fengyun 3 satellites and beyond[J]. International Journal of Digital Earth, 2012, 5(3):251-265.
[2] Zhang P, Yang H, Qiu H, et al. Quantitative Remote Sensing from the Current Fengyun 3 Satellites[J]. Advances in Meteorological Science & Technology, 2012.
[3] Xia M, Li T, Zhang Y, et al. Closed-loop design evolution of engineering system using condition monitoring through internet of things and cloud computing[J]. Computer Networks the International Journal of Computer & Telecommunications Networking, 2016, 101(C):5-18.
[4] Lefticaru R, Konur S, Yildirim U, et al. Towards an Integrated Approach to Verification and Model-Based Testing in System Engineering[C]// IEEE International Conference on Internet of Things. IEEE, 2018.
[5] Shieh M D, Li Y, Yang C C. Comparison of multi-objective evolutionary algorithms in hybrid Kansei engineering system for product form design[J]. Advanced Engineering Informatics, 2018, 36:31-42.
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