【摘要】：碼頭的裝卸生產(chǎn)組織問題在工程技術(shù)和學(xué)術(shù)領(lǐng)域都是重點(diǎn)研究對(duì)象。學(xué)者們一直致力于這方面問題的探索以提高碼頭各個(gè)層面的操作效率。在了解水轉(zhuǎn)水煤炭碼頭的裝卸生產(chǎn)過程基礎(chǔ)上,以裝卸船優(yōu)化調(diào)度問題為研究對(duì)象,本文研究了面向短周期的煤炭碼頭生產(chǎn)輔助決策系統(tǒng)的整體構(gòu)型,以系統(tǒng)功能為導(dǎo)向,建立了以在港時(shí)間和耗費(fèi)資源最少為目標(biāo)的數(shù)學(xué)模型并通過算法求解。主要研究成果如下:本文分析了煤炭碼頭裝卸生產(chǎn)的復(fù)雜性,從客觀和主觀兩個(gè)角度進(jìn)行研究,在此基礎(chǔ)上進(jìn)行決策系統(tǒng)的系統(tǒng)需求、系統(tǒng)功能分析與整體構(gòu)型設(shè)計(jì)。系統(tǒng)需求為生成短周期內(nèi)的作業(yè)計(jì)劃,主要模塊為數(shù)據(jù)管理、智能調(diào)度和計(jì)劃制定,系統(tǒng)的頂層設(shè)計(jì)是仿真預(yù)演,并進(jìn)一步研究了系統(tǒng)模塊之間的組成與關(guān)聯(lián)。鑒于決策系統(tǒng)的主要任務(wù)是自動(dòng)產(chǎn)生裝卸船計(jì)劃,本文進(jìn)一步研究了裝卸船作業(yè)調(diào)度的約束關(guān)系,分別以船舶在港時(shí)間最短、消耗的能源最少以及二者的綜合為優(yōu)化目標(biāo)建立了裝船、卸船作業(yè)調(diào)度的數(shù)學(xué)模型,通過實(shí)際數(shù)據(jù)試驗(yàn)驗(yàn)證了模型的準(zhǔn)確性和工程適用性。關(guān)于調(diào)度問題的解決方案,則通過對(duì)裝卸流程及調(diào)度規(guī)則的進(jìn)一步研究,結(jié)合模型與生產(chǎn)實(shí)踐,采用兩種不同類型的算法,啟發(fā)式算法與遺傳算法進(jìn)行分別求解試驗(yàn),完成調(diào)度任務(wù),保證系統(tǒng)正常輸出,動(dòng)態(tài)產(chǎn)生可行的生產(chǎn)計(jì)劃,最終實(shí)現(xiàn)了系統(tǒng)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.
【學(xué)位授予單位】：武漢理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U691.3

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本文編號(hào)：2302934