Research on Intelligent Loading of Bulk Carriers

Sheng Fang, Shunhuai Chen
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Abstract

With the rapid development of computer technology in recent years, the shipbuilding industry is accelerating its intelligent process. Intelligent cargo management is an important functional module of intelligent ships, and intelligent loading is an important part of intelligent cargo management. Cargo loading is an important link in the process of cargo transportation. The loading effect affects the sailing performance, safety performance and loading efficiency of the ship, so it is necessary to improve the intelligence of ship loading. Based on the calculation and research of the floating state, stability, structural strength and loading efficiency of the bulk carrier during loading, a general mathematical model for the intelligent loading of bulk carriers is established. The model comprehensively considers the influence of loading rounds, loading capacity and loading order. It is solved using an improved genetic algorithm to obtain optimized loading results. The loading case calculation was carried out using a 20000t bulk carrier as an example, and an optimized solution was obtained, which proved the effectiveness of the algorithm. The results show that the method can effectively improve the loading efficiency of the ship while ensuring that the ship has sufficient strength and suitable floating state.
散货船智能装载技术研究
近年来,随着计算机技术的飞速发展,船舶工业的智能化进程正在加快。智能货物管理是智能船舶的重要功能模块,智能装载是智能货物管理的重要组成部分。货物装载是货物运输过程中的一个重要环节。装载效果直接影响船舶的航行性能、安全性能和装载效率,因此提高船舶装载的智能化是十分必要的。在对散货船装载过程中的漂浮状态、稳定性、结构强度和装载效率进行计算研究的基础上,建立了散货船智能装载的通用数学模型。该模型综合考虑了装填弹数、装填能力和装填顺序的影响。采用改进的遗传算法求解,得到最优加载结果。以一艘20000t散货船为例,进行了装载工况计算,得到了优化解,证明了算法的有效性。结果表明,该方法在保证船舶具有足够的强度和适宜的浮态的同时,能有效地提高船舶的装载效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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