Research on Data Management of Marine Disaster Mitigation Based on Big Data. Issue 3 (October 2020)

• Record Type: Journal Article
• Authors: Chen, Chen; Liu, Xunan; Zhang, Yao; Tong, Rui
• Is Part Of: Journal of physics. Volume 1650:Issue 3(2020)
• Publication Date: 2020-10
• Subjects: Big data -- marine disaster mitigation -- typhoon disaster -- machine learning model; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1650/3/032086
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: With the explosive growth of ocean data, ocean big data has received more and more attention. It mainly analyzes and summarizes the current research status and key technologies of ocean big data, and focuses on the examples of machine learning model prediction research in ocean big data. With the advancement of 3S technology, China's marine monitoring network has achieved all-round development, including air, ground, and sea monitoring platforms, which has promoted the rapid growth of marine big data from the original GB and TB levels to PB levels. Taking the typhoon disaster search and situation display implementation as an example, the thesis has preliminarily completed the realization and application of the intelligent ocean search engine. Combined with the design of typhoon disaster search and the overall structure and function design of the situation display, module development was carried out, and the development was initially completed to realize the business data management of marine typhoon disaster mitigation based on big data.