【摘要】：隨著航運(yùn)經(jīng)濟(jì)的發(fā)展,大量的船舶頻繁活躍于港口、航道及其附近水域,使水域通航密度大為增加,從而導(dǎo)致船舶交通量不斷增多,航道船舶交通日趨繁忙。因此,對(duì)航道的通過能力要求也日益提高。在保障航運(yùn)安全的前提下,進(jìn)一步挖掘航道的通過能力,將是亟待解決的難題。在影響航道通過能力的諸多因素中,船舶領(lǐng)域是一個(gè)非常重要的影響因素。但是,目前對(duì)船舶領(lǐng)域的研究主要限于船速、船長(zhǎng)、會(huì)遇情況等容易獲得的信息,對(duì)于船舶操縱性能以及人為因素等不確定因素極少考慮。本文主要基于人為因素的動(dòng)態(tài)四元船舶領(lǐng)域模型和航道通過能力展開研究。首先,本文提出了一種基于快速準(zhǔn)確在線自組織模糊神經(jīng)網(wǎng)絡(luò)(FAOS-PFNN)識(shí)別的船舶領(lǐng)域模型辨識(shí)方法,該方法能夠有效建立參考輸入變量與船舶領(lǐng)域的形狀和大小等輸出變量之間的非線性關(guān)系。通過FAOS-PFNN方法,采用三個(gè)分離的模糊神經(jīng)網(wǎng)絡(luò)實(shí)現(xiàn)了船舶領(lǐng)域模型的多輸入輸出系統(tǒng)的模型辨識(shí)。此外,本文結(jié)合船舶運(yùn)動(dòng)理論,在現(xiàn)有四元船舶領(lǐng)域模型的基礎(chǔ)上,充分考慮了不同船舶的動(dòng)態(tài)操縱性能和船舶駕駛員人為因素對(duì)船舶領(lǐng)域的影響,從而提出基于人為因素的動(dòng)態(tài)四元船舶領(lǐng)域模型。該模型有效融合了船舶子系統(tǒng)和人因子系統(tǒng),充分考慮了船舶操縱性能及船舶駕駛員的業(yè)務(wù)技能水平、生理狀態(tài)、心理狀態(tài)和航行環(huán)境的影響等人為因素,實(shí)現(xiàn)了船舶領(lǐng)域建模的動(dòng)態(tài)智能化。同時(shí),本文將該基于人為因素的動(dòng)態(tài)四元船舶領(lǐng)域模型分別應(yīng)用于Mariner、Esso Osaka Tanker和Container三種經(jīng)典船舶類型,仿真結(jié)果驗(yàn)證了該船舶領(lǐng)域模型的合理性和有效性。其次,針對(duì)航道通過能力評(píng)估問題,本文利用所提出的動(dòng)態(tài)四元船舶領(lǐng)域模型充分考慮了船舶性能和人為因素的影響,同時(shí)將模糊理論用于調(diào)查問卷的數(shù)據(jù)處理,以獲得人因參數(shù),從而提出了考慮人為因素的航道通過能力計(jì)算方法,利用該方法可有效挖掘通過能力,提高航運(yùn)能力。最后,本文將基于人為因素的動(dòng)態(tài)四元船舶領(lǐng)域模型及通過能力計(jì)算方法應(yīng)用于尹公洲航段的內(nèi)河航道及老鐵山水道復(fù)雜航段的通過能力研究。實(shí)際計(jì)算了航道的通過能力,實(shí)驗(yàn)結(jié)果表明,利用該方法得出的通過能力較傳統(tǒng)基于Fujii橢圓船舶領(lǐng)域方法有較大提升,并通過對(duì)老鐵山水道的通過能力計(jì)算,給出未來5年到10年的老鐵山航段的拓寬規(guī)劃建議,為相關(guān)部門通航評(píng)估、水上交通規(guī)劃與管理提供借鑒與參考。
[Abstract]:With the development of shipping economy, a large number of ships are frequently active in ports, waterways and their adjacent waters, which greatly increase the navigable density of the waters, resulting in the increase of ship traffic volume, and the traffic of waterway ships become more and more busy. Therefore, the passage of the channel capacity requirements are also increasing. On the premise of ensuring shipping safety, it will be an urgent problem to further excavate the passage capacity of waterway. The ship field is a very important factor in influencing the passage capacity of waterway. However, the current research in the field of ship is mainly limited to the ship speed, captain, situation and other readily available information, as well as the ship maneuvering performance and human factors and other uncertain factors are rarely considered. This paper is mainly based on the dynamic quaternion ship domain model and waterway transit capacity based on human factors. Firstly, a ship domain model identification method based on fast and accurate online self-organizing fuzzy neural network (FAOS-PFNN) is proposed. This method can effectively establish the nonlinear relationship between the reference input variables and the output variables such as the shape and size of the ship domain. By using the FAOS-PFNN method, three separate fuzzy neural networks are used to realize the model identification of multi-input and output systems in ship domain model. In addition, combined with ship motion theory, based on the existing quaternion ship field model, the dynamic maneuverability of different ships and the influence of human factors of ship pilots on the ship field are fully considered in this paper. A dynamic quaternion ship domain model based on human factors is proposed. The model effectively integrates ship subsystem and human factor system, and fully considers the factors such as ship maneuvering performance and the influence of ship driver's professional skill level, physiological state, psychological state and navigation environment, etc. The dynamic intelligence of ship modeling is realized. At the same time, the dynamic quaternion ship domain model based on human factors is applied to the three classical ship types, Mariner,Esso Osaka Tanker and Container, respectively. The simulation results show that the ship domain model is reasonable and effective. Secondly, aiming at the problem of evaluation of waterway passing capacity, the dynamic quaternion ship domain model is used to fully consider the influence of ship performance and human factors, and the fuzzy theory is applied to the data processing of the questionnaire at the same time. In order to obtain the parameters of human factors, a method for calculating the passage capacity of waterway considering human factors is put forward, which can effectively excavate the passing capacity and improve the shipping capacity. Finally, the dynamic quaternion ship domain model based on human factors and the calculation method of passing capacity are applied to the study of the passage capacity of the inland waterway and the complex section of Laotieshan waterway in Yin Gongzhou section. The actual passage capacity of the channel is calculated. The experimental results show that the passage capacity obtained by this method is much higher than that obtained by the traditional elliptical ship method based on Fujii, and the passing capacity of Laotieshan waterway is calculated. The suggestions of widening the section of Laotie Mountain in the next 5 to 10 years are given, which can be used for reference and reference for the evaluation of navigation and the planning and management of waterborne traffic in the relevant departments.
【學(xué)位授予單位】：大連海事大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2015
【分類號(hào)】：U697

【參考文獻(xiàn)】

相關(guān)博士學(xué)位論文 前1條

1 劉正江;船舶避碰過程中的人的可靠性分析[D];大連海事大學(xué);2004年

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本文編號(hào)：2214612