矿石码头装卸设备配置优化研究

发布时间：2018-01-06 07:27

本文关键词：矿石码头装卸设备配置优化研究　出处：《大连海事大学》2015年硕士论文　论文类型：学位论文

【摘要】：港口生产系统是一个复杂的动态随机的非线性系统。对于难以用精确数学模型描述其动态性和非线性的,在实际应用中,人们发现利用IF...THEN规则建立系统的模糊规则描述是解决许多非线性复杂系统问题的有效方法。实际工厂中存在优秀的管理者和操作员积累的少量生产经验规则,但这种规则梯度大,不易于实现生产的精细化管理。因此,通过积累专家经验规则并进一步丰富和细化建立新的模糊规则库,其简洁易用性,更适于码头实时性生产的在线调度。码头装卸工艺是实现港口生产科学化管理的基础,而装卸设备配置是装卸工艺的关键。研究装卸工艺,就是分析和改进装卸方法,使通过港口的物流更经济、更合理,从而达到安全、优质、高效、低成本地完成装卸任务的目的。在码头规模和设备基本定型,如何配置装卸设备,以降低装卸成本、合理化设备利用率来进一步提高码头生产科学化管理水平是码头企业关注的重点。码头装卸工艺的主要工作是对码头设备资源进行配置；因此,矿石码头装卸工艺的优化问题即装卸工艺各环节的设备配置问题。本文通过分析矿石码头装卸工艺系统的特点,确立了影响码头装卸工艺设备配置方案的影响因素,包括装卸成本、装卸效率及设备工作参数等；加入模块化的带式输送机的带速作为变量之一,并从港口长远发展的角度,在矿石码头设备利用率规范限制内,以装卸成本最小为目标,构建了装卸工艺设备配置优化模型。通过实地调研,以A港实际数据进行仿真实验,利用遗传算法求解出的最优方案与矿石码头实际装卸工艺设备配置方案进行比较,验证了模型的合理性。利用此优化模型推导出的装卸设备配置的模糊规则,将现有的专家经验规则进行了改良和进一步丰富和细化,建立模糊规则库,可根据工况的变化选择模糊规则库中相应的规则,从而更快捷、准确地在线调整装卸设备配置方案,实现了生产过程的精细化管理,从而节约成本、提高企业效益。
[Abstract]:Port production system is a complex dynamic stochastic nonlinear system. It is difficult to describe its dynamics and nonlinearity by precise mathematical model, which is applied in practice. It is found that using IF...THEN rules to establish fuzzy rule description of systems is an effective method to solve many nonlinear complex system problems. There is a small amount of accumulation of excellent managers and operators in practical factories. Production experience rules. But this kind of rule gradient is large, it is difficult to realize the fine management of production. Therefore, it is simple and easy to use by accumulating expert experience rules and further enriching and refining the new fuzzy rule base. Wharf loading and unloading technology is the basis of realizing scientific management of port production, and loading and unloading equipment configuration is the key of loading and unloading technology. It is to analyze and improve the loading and unloading method, make the logistics through the port more economical and reasonable, so as to achieve the purpose of safety, high quality, high efficiency and low cost to complete the loading and unloading task. How to configure the loading and unloading equipment to reduce the loading and unloading cost. Rationalizing the utilization ratio of equipment to further improve the scientific management level of wharf production is the focus of wharf enterprises. Therefore, the optimization of loading and unloading process of ore wharf is the equipment configuration problem of each link of loading and unloading process. This paper analyzes the characteristics of loading and unloading process system of ore wharf. The factors influencing the configuration of handling process equipment are established, including loading and unloading cost, loading and unloading efficiency and working parameters of equipment, etc. With the addition of modular belt conveyor as one of the variables, and from the long-term development of the port, within the limit of the ore terminal equipment utilization standard, the aim is to minimize the loading and unloading cost. The optimization model of loading and unloading process equipment configuration is constructed. Through the field investigation, the simulation experiment is carried out with the actual data of Port A. The rationality of the model is verified by comparing the optimal scheme solved by genetic algorithm with the actual loading and unloading equipment configuration scheme of ore terminal, and the fuzzy rules of loading and unloading equipment configuration are derived from this optimization model. The existing expert experience rules are improved and further enriched and refined, and the fuzzy rule base can be established, which can select the corresponding rules in the fuzzy rule base according to the change of working conditions, so it is faster. The configuration scheme of loading and unloading equipment is adjusted accurately and the fine management of production process is realized thus saving the cost and improving the benefit of the enterprise.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP18;U653.92

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