面向短周期的煤炭码头生产辅助决策系统关键问题研究

发布时间：2018-10-31 16:50

【摘要】：码头的装卸生产组织问题在工程技术和学术领域都是重点研究对象。学者们一直致力于这方面问题的探索以提高码头各个层面的操作效率。在了解水转水煤炭码头的装卸生产过程基础上,以装卸船优化调度问题为研究对象,本文研究了面向短周期的煤炭码头生产辅助决策系统的整体构型,以系统功能为导向,建立了以在港时间和耗费资源最少为目标的数学模型并通过算法求解。主要研究成果如下:本文分析了煤炭码头装卸生产的复杂性,从客观和主观两个角度进行研究,在此基础上进行决策系统的系统需求、系统功能分析与整体构型设计。系统需求为生成短周期内的作业计划,主要模块为数据管理、智能调度和计划制定,系统的顶层设计是仿真预演,并进一步研究了系统模块之间的组成与关联。鉴于决策系统的主要任务是自动产生装卸船计划,本文进一步研究了装卸船作业调度的约束关系,分别以船舶在港时间最短、消耗的能源最少以及二者的综合为优化目标建立了装船、卸船作业调度的数学模型,通过实际数据试验验证了模型的准确性和工程适用性。关于调度问题的解决方案,则通过对装卸流程及调度规则的进一步研究,结合模型与生产实践,采用两种不同类型的算法,启发式算法与遗传算法进行分别求解试验,完成调度任务,保证系统正常输出,动态产生可行的生产计划,最终实现了系统功能。
[Abstract]:Loading and unloading production organization of wharf is the key research object in engineering technology and academic field. Scholars have been committed to this aspect of the exploration to improve the efficiency of all levels of wharf operation. Based on the understanding of the loading and unloading process of the water transfer coal wharf, this paper studies the overall configuration of the auxiliary decision system for coal wharf production oriented to the short period, which is guided by the system function, taking the optimal dispatching problem of the loading and unloading ship as the research object. A mathematical model aiming at minimum time and resource consumption in Hong Kong is established and solved by algorithm. The main research results are as follows: this paper analyzes the complexity of coal wharf loading and unloading production, carries on the research from the objective and the subjective angle, and on this basis carries on the system demand, the system function analysis and the overall configuration design. The main modules are data management, intelligent scheduling and planning. The top level design of the system is simulation preview, and the composition and correlation between system modules are further studied. In view of the fact that the main task of the decision system is to generate the loading and unloading ship plan automatically, this paper further studies the constraint relation of the loading and unloading ship operation scheduling, respectively, in which the ship is in port for the shortest time. The mathematical model of ship loading and unloading scheduling is established for the optimization goal with the least energy consumption and the combination of both. The veracity and engineering applicability of the model are verified by the actual data test. On the solution of scheduling problem, through further research on loading and unloading flow and scheduling rules, combined with model and production practice, two different kinds of algorithms, heuristic algorithm and genetic algorithm are used to solve the problem separately. The scheduling task is completed, the system output is guaranteed, the feasible production plan is generated dynamically, and the system function is finally realized.
【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】：U691.3

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