集装箱船舶配载及其失事应急研究

发布时间：2018-02-03 20:43

本文关键词： 集装箱船舶主贝计划 SWO算法失事应急　出处：《武汉理工大学》2015年硕士论文　论文类型：学位论文

【摘要】：集装箱船舶运输是国民经济中的重要部分,港口设施设备的大型化、港池的深水化与船舶的大型化是同步进行的。在运输大宗货物时,如何提高其营运效率、缩短在港停留时间、增加经济效益、实现港口与船舶的双赢是一个值得研究的热点,而提高集装箱船舶营运效率的关键问题之一就是合理地配积载。另一方面,载货船水上事故屡见不鲜,造成了一定的人员和财产损失,相关的科学理论和应急决策已引起了广泛研究。因此,本文旨在研究集装箱船舶配载问题,并进一步探索配载后如何开展失事情况下的应急救援。论文的主要研究工作如下:(1)首先建立了主贝计划数学模型,以最小化倒箱量为目标函数,以纵横倾裕量及其他基本条件为约束。随后提出了一种基于装箱算法的启发式策略对船舶的贝位进行分解,以降低模型的求解复杂度,并得到实际可行解。同时该策略提高了装卸效率和船舶贝位利用率。然后采用SWO(Squeak Wheel Optimization)算法对主贝计划的配载结果进行优化,以获得最优的纵倾条件,提高船舶适航性。(2)以配载完成的集装箱船为基本研究对象,分析了船舶水上事故的类型、相应的应急措施,进而提出了事故应急系统框架。在分析集装箱船舶结构特性的基础上,构建了稳性评价准则,并提出了其失事条件下的压载水应急仿真流程。(3)通过实际生产案例,对提出的贝位分解策略和SWO优化方法进行了数据分析,配载结果和优化方案表明了该策略和优化方法的有效性,实现了预期的目标。以该配载结果为基础,在AnyLogic平台上构建了集装箱船舶的仿真模型,对两个不同的数据案例进行了仿真分析。最后,通过定义动态事件和仿真交互界面的设置,模拟了压载水调整策略实现的应急流程。
[Abstract]:Container shipping is an important part of the national economy, the port facilities equipment is large-scale, the deepwater port pool and the ship's large-scale is synchronized. How to improve its operational efficiency when transporting bulk cargo. Shortening the time of staying in Hong Kong, increasing economic benefits and realizing the win-win situation between port and ship is a hot topic worth studying. One of the key problems to improve the efficiency of container ship operation is to distribute stowage reasonably. Waterborne accidents on cargo ships are common, resulting in a certain number of personnel and property losses, related scientific theory and emergency decisions have caused extensive research. Therefore, the purpose of this paper is to study the container ship stowage problem. And further explore how to carry out emergency rescue after stowage. The main research work in this paper is as follows: 1) first of all, the mathematical model of master shell plan is established, and the objective function is to minimize the volume of backbox. Taking the trim margin and other basic conditions as constraints, a heuristic strategy based on packing algorithm is proposed to decompose the ship's shell position in order to reduce the complexity of solving the model. At the same time, the strategy improves the efficiency of loading and unloading and the utilization ratio of ship's shell position. Then, the SWO(Squeak Wheel optimization is adopted. The algorithm optimizes the loading results of the master plan. In order to obtain the optimal trim condition and improve the seaworthiness of the ship, taking the container ship completed with stowage as the basic research object, the types of marine accidents and the corresponding emergency measures are analyzed. Based on the analysis of the structural characteristics of container ships, the stability evaluation criteria are constructed. The simulation flow of ballast water emergency under the condition of accident is put forward. Based on the actual production case, the shell-decomposition strategy and SWO optimization method are analyzed. The results of stowage and optimization show the effectiveness of the strategy and optimization method, and achieve the expected goal. Based on the loading results, the simulation model of container ship is built on AnyLogic platform. Two different data cases are simulated and analyzed. Finally, the emergency flow of ballast water adjustment strategy is simulated by defining dynamic events and setting the interactive interface of simulation.
【学位授予单位】：武汉理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U693.4;U698.6

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