当前位置:主页 > 科技论文 > 船舶论文 >

港口水域船舶碰撞危险预警模型及应用

发布时间:2018-11-20 04:11
【摘要】:随着贸易的增长,港口内行驶船舶数量增长速度很快,现有VTS设备的船舶碰撞危险预警机制逐渐不能满足港口管理的需求,给VTS值班人员造成很大的压力。通过阅读文献分析国内VTS以及船舶碰撞危险预警的研究现状,同时通过在厦门港VTS的调研,了解到国内VTS中心现有设备在船舶碰撞危险预警存在问题,如DCPA、TCPA阈值设置不合理,产生误报警等,需要探索新的船舶碰撞危险预警方法,以便对船舶的碰撞危险做出及时准确的预报。本文在导师团队前期研究开阔域船舶碰撞危险度阈值计算模型的基础上,做了以下研究工作:(1)针对国内VTS以及船舶碰撞危险预警存在的问题,在导师团队前期研究中开阔水域SDA及SDAmin估算方法的基础上,将港口内船舶限定速度、不同种类船舶操纵性不同等因素考虑进来,建立适合港口水域的SDA及SDAmin估算模型。(2)通过专家咨询的方式,总结港口不同区域内船舶驾驶员操船避让通常做法,并通过理论分析与仿真实验相结合的方法,研究船舶分别采取不同舵角改向及不同减速方法(倒车或停车减速)的操纵延迟估算模型。(3)采用相对运动几何分析方法对船舶会遇态势进行分析,综合考虑采取避让措施的难易程度,确定船舶碰撞危险度阈值计算模型;在建立最晚施舵时机量化模型的基础上,以最晚施舵时机作为碰撞危险度评估模型,进而对多目标船的碰撞危险度进行排序。(4)通过VC++编程的方法将预警算法集成到我校自主研发的船舶智能操控(Ship Intelligent Handle and Control,简称SIHC)仿真研究平台上,利用DMI船模仿真实验验证港口水域内碰撞危险预警模型,通过设计港口水域两船及多船碰撞预警验证试验,初步探讨将预警模型集成到IVTS(智能VTS)上进行船舶的碰撞危险预警仿真;初步实现预警信息智能显示与自动传递的功能。
[Abstract]:With the growth of trade, the number of ships in the port is increasing rapidly. The ship collision risk warning mechanism of the existing VTS equipment can not meet the requirements of port management gradually, causing great pressure on the VTS duty personnel. Through reading the literature to analyze the current situation of VTS and ship collision hazard warning in China, and through the investigation of VTS in Xiamen port, we know that the existing equipment of domestic VTS center has problems in ship collision hazard warning, such as DCPA,. Due to unreasonable setting of TCPA threshold, false alarm and so on, it is necessary to explore a new method of ship collision hazard warning in order to make timely and accurate prediction of ship collision risk. Based on the research of the open area ship collision risk threshold model, this paper does the following research work: (1) aiming at the existing problems of VTS and ship collision hazard warning in China, Based on the estimation of SDA and SDAmin in open water in the previous study of the tutors' team, the limited speed of ships in the port and the different factors of ship maneuverability of different types are taken into account. The estimation models of SDA and SDAmin suitable for port waters are established. (2) by means of expert consultation, the common methods of shipowner maneuvering and avoiding in different areas of port are summarized, and the method of combining theory analysis with simulation experiment is adopted. This paper studies the estimation models of steering delay of ships with different rudder angles and different deceleration methods (reverse or stop deceleration). (3) the relative motion geometry analysis method is used to analyze the ship encounter situation. Considering comprehensively the difficulty and ease of taking measures to avoid collision, the model for calculating the threshold value of ship collision risk is determined. On the basis of establishing the quantitative model of the latest rudder timing, the latest rudder timing is used as the collision risk assessment model. Then the collision risk degree of multi-target ship is sorted. (4) the early warning algorithm is integrated into the ship intelligent control (Ship Intelligent Handle and Control, (SIHC) simulation research platform developed by our university by VC programming method. The DMI ship model is used to verify the early warning model of collision risk in port waters, and the collision early warning test of two ships and multiple ships in port waters is designed. This paper preliminarily discusses how to integrate the early warning model into IVTS (Intelligent VTS) to simulate the ship collision danger early warning. The function of intelligent display and automatic transmission of early warning information is preliminarily realized.
【学位授予单位】:集美大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:U675.96

【参考文献】

相关期刊论文 前2条

1 俞嘉虎;船舶进入限制航道后的操纵性变化和安全防范[J];航海技术;2005年03期

2 孙腾达,杨萌,熊振南;利用环境压力模型确定航道的宽度[J];集美大学学报(自然科学版);2003年02期

相关重要报纸文章 前1条

1 本报记者 赵虎 甘琛 通讯员 赵晓俊;[N];中国水运报;2014年



本文编号:2343675

资料下载
论文发表

本文链接:https://www.wllwen.com/kejilunwen/chuanbolw/2343675.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户014ea***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com