本文關(guān)鍵詞：礦石碼頭裝卸設(shè)備配置優(yōu)化研究　出處：《大連海事大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 裝卸工藝 模糊規(guī)則 裝卸成本 設(shè)備配置 遺傳算法

【摘要】：港口生產(chǎn)系統(tǒng)是一個復(fù)雜的動態(tài)隨機的非線性系統(tǒng)。對于難以用精確數(shù)學(xué)模型描述其動態(tài)性和非線性的,在實際應(yīng)用中,人們發(fā)現(xiàn)利用IF...THEN規(guī)則建立系統(tǒng)的模糊規(guī)則描述是解決許多非線性復(fù)雜系統(tǒng)問題的有效方法。實際工廠中存在優(yōu)秀的管理者和操作員積累的少量生產(chǎn)經(jīng)驗規(guī)則,但這種規(guī)則梯度大,不易于實現(xiàn)生產(chǎn)的精細(xì)化管理。因此,通過積累專家經(jīng)驗規(guī)則并進(jìn)一步豐富和細(xì)化建立新的模糊規(guī)則庫,其簡潔易用性,更適于碼頭實時性生產(chǎn)的在線調(diào)度。碼頭裝卸工藝是實現(xiàn)港口生產(chǎn)科學(xué)化管理的基礎(chǔ),而裝卸設(shè)備配置是裝卸工藝的關(guān)鍵。研究裝卸工藝,就是分析和改進(jìn)裝卸方法,使通過港口的物流更經(jīng)濟(jì)、更合理,從而達(dá)到安全、優(yōu)質(zhì)、高效、低成本地完成裝卸任務(wù)的目的。在碼頭規(guī)模和設(shè)備基本定型,如何配置裝卸設(shè)備,以降低裝卸成本、合理化設(shè)備利用率來進(jìn)一步提高碼頭生產(chǎn)科學(xué)化管理水平是碼頭企業(yè)關(guān)注的重點。碼頭裝卸工藝的主要工作是對碼頭設(shè)備資源進(jìn)行配置；因此,礦石碼頭裝卸工藝的優(yōu)化問題即裝卸工藝各環(huán)節(jié)的設(shè)備配置問題。本文通過分析礦石碼頭裝卸工藝系統(tǒng)的特點,確立了影響碼頭裝卸工藝設(shè)備配置方案的影響因素,包括裝卸成本、裝卸效率及設(shè)備工作參數(shù)等；加入模塊化的帶式輸送機的帶速作為變量之一,并從港口長遠(yuǎn)發(fā)展的角度,在礦石碼頭設(shè)備利用率規(guī)范限制內(nèi),以裝卸成本最小為目標(biāo),構(gòu)建了裝卸工藝設(shè)備配置優(yōu)化模型。通過實地調(diào)研,以A港實際數(shù)據(jù)進(jìn)行仿真實驗,利用遺傳算法求解出的最優(yōu)方案與礦石碼頭實際裝卸工藝設(shè)備配置方案進(jìn)行比較,驗證了模型的合理性。利用此優(yōu)化模型推導(dǎo)出的裝卸設(shè)備配置的模糊規(guī)則,將現(xiàn)有的專家經(jīng)驗規(guī)則進(jìn)行了改良和進(jìn)一步豐富和細(xì)化,建立模糊規(guī)則庫,可根據(jù)工況的變化選擇模糊規(guī)則庫中相應(yīng)的規(guī)則,從而更快捷、準(zhǔn)確地在線調(diào)整裝卸設(shè)備配置方案,實現(xiàn)了生產(chǎn)過程的精細(xì)化管理,從而節(jié)約成本、提高企業(yè)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.
【學(xué)位授予單位】：大連海事大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TP18;U653.92

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本文編號：1386878