Research on the Application of 3D Visualization of Marine Environmental Data in Underwater Sub-mersibles Route Planning

Author(s):  
Jun Fu ◽  
Yang Chang ◽  
Zhiwen Ning ◽  
Hongxiang Han
2014 ◽  
Vol 668-669 ◽  
pp. 1374-1377 ◽  
Author(s):  
Wei Jun Wen

ETL refers to the process of data extracting, transformation and loading and is deemed as a critical step in ensuring the quality, data specification and standardization of marine environmental data. Marine data, due to their complication, field diversity and huge volume, still remain decentralized, polyphyletic and isomerous with different semantics and hence far from being able to provide effective data sources for decision making. ETL enables the construction of marine environmental data warehouse in the form of cleaning, transformation, integration, loading and periodic updating of basic marine data warehouse. The paper presents a research on rules for cleaning, transformation and integration of marine data, based on which original ETL system of marine environmental data warehouse is so designed and developed. The system further guarantees data quality and correctness in analysis and decision-making based on marine environmental data in the future.


2014 ◽  
Vol 668-669 ◽  
pp. 1378-1381 ◽  
Author(s):  
Wei Jun Wen

Marine environment data warehouse can store massive data. After the full amount of historical data has been initially loaded, the incremental update mode must be applied to ensure timely updates of data. In this paper, in view of the marine environment data warehouse’s characteristics, such as massive data amount, large number of historical data and low update frequency, a complete set of mechanisms for incremental update of marine environment data warehouse was proposed to greatly improve the operating efficiency of marine environment data warehouse.


2014 ◽  
Vol 519-520 ◽  
pp. 1455-1460
Author(s):  
Li Hong Xu ◽  
Lu Lin Yang ◽  
Rui Hua Wei

This visualization system aimed at collecting and storing environmental data and crops growing data so as to establish the relationship between environmental data and crop growth data.In order to solve the problem of big data storage,this paper put forward a new system architecture “Data collect+Cloud+Android”,which took advantage of cloud platform to store greenhouse environmental data and crops growth 3D data.Greenhouse environmental data was automatically uploaded to cloud platform and Android smart phone exchanged data with cloud platform.The greenhouse visualization system included:3D visualization of parameters in greenhouse,3D crop model,traceability system and video in greenhouse.During the test,the system runs smoothly and no data packet loss.


2020 ◽  
Vol 20 (2020) ◽  
pp. 515-516
Author(s):  
Eleine Francioni de Abreu Lima ◽  
Denise de Almeida Pires Do Rosário ◽  
Paulo de Castro Villi ◽  
Georgia Moraes Catabriga Sousa

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