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Optimization Design of Marine Collective Engineering Management System with BS Architecture Based on Big Data

Zhao, Xinyu

Journal of coastal research, 2019-05, Vol.83 (sp1), p.656-661 [Revista revisada por pares]

Fort Lauderdale: Coastal Education and Research Foundation

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Título:
Optimization Design of Marine Collective Engineering Management System with BS Architecture Based on Big Data
Autor: Zhao, Xinyu
Materias: Architectural engineering ; Big Data ; BS architecture ; Coasts ; Computer science ; Crack propagation ; Data ; Data management ; Design ; Design engineering ; Design optimization ; Engineering management ; engineering management system ; Frameworks ; marine collective engineering ; Marine engineering ; Naval engineering ; Ocean engineering ; OCEAN INFORMATION SCIENCE ; Product development ; Qualitative analysis ; Software ; Software engineering ; system optimization
Es parte de: Journal of coastal research, 2019-05, Vol.83 (sp1), p.656-661
Descripción: Zhao, X., 2018. Optimization design of marine collective engineering management system with BS architecture based on big data. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 656–661. Coconut Creek (Florida), ISSN 0749-0208. In the process of management of traditional marine collective engineering management system, as the huge volume of data in marine collective engineering, it is impossible to achieve hierarchical data management. To address this problem, marine collective engineering management system with BS architecture based on big data is designed in this paper. The BS architecture of big data is used to optimize the general framework of the collective engineering management system. The system is divided into layers, the core functions and subsystems are differentiated, and the hierarchical functions of the system modules are optimized. The hardware design of the management system is realized. Logical calculation is used for qualitative analysis of engineering management data. The management order is identified through attribute identification to realize the software design of engineering management system. The experimental results show that the designed engineering management system can be applied to the marine collective engineering with big data, and the management efficiency is 34.5% higher than the traditional engineering management system.
Editor: Fort Lauderdale: Coastal Education and Research Foundation
Idioma: Inglés

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Optimization Design of Marine Collective Engineering Management System with BS Architecture Based on Big Data

Zhao, Xinyu

Fort Lauderdale: Coastal Education and Research Foundation

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