摘要
准确挖掘舰船智能导航系统大数据可实现舰船自主路径规划,提高舰船运行智能化与安全性。为此,研究人工智能技术在舰船智能导航系统大数据挖掘中的应用。利用人工智能技术中的图像分割理论,提取舰船运行大数据挖掘目标;计算多个挖掘目标的相似度与散度值,提取导航系统大数据特征;通过人工智能技术设计一个窗口模型,实现对舰船智能导航系统关联数据的挖掘。实验发现,应用人工智能技术后的大数据挖掘任务中,得到的数据关联性明显增加,数据挖掘结果的置信度较高,具有较高准确性,可为舰船智能航行规划提供初步的理论参考。
Mining the big data of the ship intelligent navigation system accurately can realize the autonomous path planning of the ship, and improve the intelligence and security of the ship operation. Therefore, the application of artificial intelligence technology in big data mining of ship intelligent navigation system is studied. Using the image segmentation theory of artificial intelligence technology, we can extract the big data mining target of ship operation;calculate the similarity and divergence value of multiple mining targets, analyze the big data characteristics of navigation system;design a window model through artificial intelligence technology, and realize the mining of the related data of ship intelligent navigation system. It is found that in the big data mining task after the application of AI technology, the data association is obviously increased, the confidence of data mining results is high, and it has high accuracy, which can provide a preliminary theoretical reference for ship intelligent navigation planning.
作者
张文战
ZHANG Wen-zhan(University of Science and Technology of China,Beijing 100086,China;China University of Labor Relations Institute of Technology,Beijing 100086,China)
出处
《舰船科学技术》
北大核心
2020年第24期118-120,共3页
Ship Science and Technology
关键词
人工智能技术
舰船智能导航系统
大数据挖掘
应用效果分析
artificial intelligence technology
ship intelligent navigation system
big data mining
application effect analysis
