Construction of Marine Environmental Management Information Sharing Platform Under the Background of Big Data
- DOI
- 10.2991/978-94-6463-024-4_46How to use a DOI?
- Keywords
- marine environment; Hadoop technology; information sharing; big data
- Abstract
To realize the comprehensive management of China’s oceans, and to make contributions to China’s strategy of strengthening the ocean and sustainable development. By combing the current situation of domestic marine environmental information processing problems, combined with big data technology, this paper makes some thoughts on the construction of marine environmental information sharing, and scientifically plans and develops a management information sharing platform that utilizes the ocean and provides data for the development of marine science. This system uses Hadoop, Spark big data, Python web crawler and JavaWeb page development technologies to collect and process data related to the marine environment, and presents efficient, real-time and shared data effects, which adds a strength to China’s great dream of realizing a smart ocean, a beautiful ocean and an ecological ocean.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Dandan Lv PY - 2022 DA - 2022/12/12 TI - Construction of Marine Environmental Management Information Sharing Platform Under the Background of Big Data BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 437 EP - 447 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_46 DO - 10.2991/978-94-6463-024-4_46 ID - Lv2022 ER -