The Application of Artificial Intelligence in Ocean Development: In the View of World Expo 2010

Abstract:

Under the background of global ocean development, artificial intelligence has increasing importance which urges the improvement of traditional research and exploration methods. Marine applications of artificial intelligence have been further practiced and expanded by Shanghai World Expo, which reflect in at least three major areas: firstly, the foundations of technical thought kernel, network expansion and intelligent navigation are laid in Maritime Internet of Things; secondly, in the field of far-reaching sea exploration, unmanned probe (deep-sea robot) relied on artificial intelligence technology has gradually become a major force in international competition; thirdly, as an ocean information and management comprehensive integration platform, digital ocean is applied to crack ocean information solitary island, jumbled information and other difficult problems through cooperation development, function integration and affinity services, enhancing the public ocean consciousness.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 2335-2339
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.2335
• Online since: August 2013
• Authors: Yang Yu, Zhen Xing Cheng
• Keywords: Artificial Intelligence (AI), Digital Ocean, Far-Reaching Sea Exploration Submersible, Maritime Internet of Things, Shanghai World Expo

References

[1] Lin Tuo, Sha Sha. Green and Intelligent: Two Main Tides of Science and Technology Innovation in Shanghai World Expo (Not published): pp.8-9.

[2] Huang Zhengyu. Maritime Internet of Things, Towards to the Ocean, ChinaInformationization[EB/OL]http: /www. ichina. net. cn/Html/2011/Feature/18821. html.

[3] Five Urgent Problems to Solve in China Internet Industry Development, Xinhuanet[EB/OL]http: /news. xinhuanet. com/tech/201111/17/c_122293284. htm.

[4] Liu Tao. Preliminary Study on the Intelligent Navigation (Not Published): p.3.

[5] Yan Yong. Development of Deep Sea ROV and Its Working System [J]. Robot, 2005(01): p.83.

[6] Zhao Xiaoguang. One Method for ROV Navigation Using Fuzzy Control [J]. Information and Control, 2002(02): pp.55-56.

[7] Jiang Xinsong, Feng Xisheng, Wang Litang. Underwater Robot [M]. Liaoning province science and technology press, (2000).

[8] Feng Zhengping. A Review of the Development of Autonomous Underwater Vehicles(AUVs) in Western Countries[J]. Torpedl Tochnology, 2005(03) : p.6.

[9] K. P. Valavanis, D. Gracanin, M. Matijasevic, R. Kolluru andA. Demetriou. ControlArchitecture for Autonomous Underwater Vehicles[ J]. IEEE Control Systems, 1997(12) : pp.48-64.

[10] T. W. Kim and J. Yuh. Development of a Real-time Control Architecture for a Semi-autonomous Underwater Vehicle for Intervention Missions [J]. Control Engineering Practice. 2004(12) : pp.1521-1530.

DOI: 10.1016/j.conengprac.2003.12.015

[11] The First Section of Chapter One, Marine Science and Technology of China's 12th Five-Year Plan.

[12] 908 Special Project is Gradually Carried Out, national satellite ocean application.

[13] Li Sihai, China's Digital Ocean Development Progress and Prospect, Ocean Development and Management [J]. 2010(06) : p.43.

[14] Ye Xiangdong, Towards Land and Sea Integration through an Ocean of Numerals, [J]. Pacific Journal, 2007(04) : p.85.

[15] Zhang Xin. The Basic Research on the Construction and Implementation of China's Digital Ocean, Prototype System [J]. Acta Oceanologica Sinica, 2010(01) : p.158.

[16] China Digital Ocean (Community Edition), http: /www. iocean. net. cn.