在全球化日益繁荣的今天,我国的海外贸易量也面临着爆发式的增长,而有限的航道资源常常导致船舶的航行距离过近,航运碰撞事故常常发生。为了实现对船舶航行的高效预测和控制,急需一种先进的技术对船舶的交通航行进行智能化预测。本文通过采用先进的混沌理论,对船舶的时空距离和运动趋势进行预测,从而实现对船舶航行的定量监控,通过对船舶信息进行高速的采样分析,控制人员能够及时全面地把握好船舶的运动轨迹,从而避免各种可能发生的事故。
With the increasing prosperity of globalization, China's overseas trade is facing explosive growth. Limited shipping resources often lead to the short distance of shipping, and shipping collision accidents often occur. In order to realize the efficient forecast and control of ship navigation, an advanced technology is urgently needed to make the intelligent prediction of the ship traffic. In this paper, by using the advanced chaos theory, the space-time distance and the movement trend of the ship are forecasted, which can realize the quantitative monitoring of the ship navigation. Through the high-speed sampling and analysis of the ship information, the control personnel can grasp the movement of the ship in time. Trajectory, thus avoiding all possible accidents.
2017,39(1A): 180-182 收稿日期:2016-11-18
DOI:10.3404/j.issn.1672-7619.2017.1A.061
分类号:U698
作者简介:李金珂(1980-),男,硕士,讲师,主要从事图形图像处理、数据算法及计算机网络等。
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