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控制河段船舶通行指挥决策专家系统研究与实现

发布时间:2018-07-13 21:57
【摘要】:长江上游控制河段船舶受信号台控制,并根据通行信号有序通行。信号台信号员通过判断船舶的船位,依据控制河段的通行原则进行信号揭示,指挥船舶通行。为了适应长江航运中船舶大型化和通航密度急剧增大的趋势,有效减少和避免因信号员判断失误而引起上行船舶候船时间长、下行船舶掉头等问题,保证控制河段船舶的通行安全,提高通行效率,论文在对控制河段船舶通行指挥方法和自动识别系统(Automatic Identification System,AIS)等进行深入研究的基础上,利用专家系统技术,建立通行指挥决策知识库,提出基于模糊层次分析法(FuzzyAnalytic Hierarchy Process,FAHP)和AIS的船舶通行队列快速排序算法,设计并实现了一个基于AIS信息的船舶通行指挥决策专家系统,自动给出通航指令。主要研究工作包括以下几个方面: ①对控制河段信号台的通行指挥规则和实际指挥过程进行全面分析,对控制河段船舶通行指挥决策的任务和需求进行分析,提出应用专家系统和船舶AIS实现辅助指挥决策的思路。 ②根据控制河段信号台对船舶通行指挥的需求,对船舶基本信息、控制河段船舶通行状况、船舶等待时间等知识进行获取和表示,构建系统综合数据库和知识库。 ③专家系统推理机采用FAHP对影响船舶通行队列的指标因素进行评价,提出基于FAHP和AIS的船舶通行队列快速排序算法,并以此进行推理计算,获得相应的决策指挥信息。 ④根据系统设计方案,使用C#语言完成系统功能模块的开发,将系统实际应用于神背嘴信号台,对通行船舶进行指挥。 神背嘴通行信号台的实际应用表明,基于专家系统的船舶通行指挥系统能自动生成船舶通行队列信息,自动给出通航指令,做出决策信息指挥船舶高效、有序地通过控制河段,,缩短了船舶通过控制河段的时间,确保控制河段船舶通行的安全、有序,从而提高指挥调度的效率及科学性和准确性,大大提高长江航线的交通运输力,达到通行信号台智能指挥调度的目标。
[Abstract]:Ships in the upper reaches of the Yangtze River are controlled by signalling platforms and are transported in an orderly manner according to traffic signals. By judging the ship's position, the signalling staff of the signalling station reveals the signal according to the principle of controlling the passage of the river, and directs the ship's passage. In order to adapt to the trend of large ship size and rapid increase of navigation density in the Yangtze River shipping, the problems such as long waiting time for the uplink ship and the downgoing ship turning back caused by the error of the signaler can be effectively reduced and avoided. In order to ensure the safety and improve the efficiency of the passage, the paper makes use of the expert system technology on the basis of the deep research on the method of controlling the passage of the ship and the Automatic Identification system (AIS), etc. The knowledge base of traffic command decision is established, and a fast sorting algorithm of ship traffic queue based on Fuzzy Analytic hierarchy process (FAHP) and AIS is proposed. A ship traffic command decision expert system based on AIS information is designed and implemented. The navigation instructions are given automatically. The main research work includes the following aspects: (1) the general command rules and actual command process of the signalling platform for the river reach are comprehensively analyzed, and the tasks and requirements of the ship traffic command decision-making for the control of the river reach are analyzed. The idea of applying expert system and ship AIS to realize auxiliary command and decision is put forward. 2 according to the requirement of control signal station for ship passing command, the basic information of ship and the condition of ship passing in river reach are controlled. The knowledge of ship waiting time is acquired and expressed, and the comprehensive database and knowledge base of the system are constructed. 3 the expert system inference engine uses FAHP to evaluate the index factors affecting the ship traffic queue. A fast sorting algorithm of ship traffic queue based on FAHP and AIS is proposed, and the corresponding decision and command information is obtained through reasoning and calculation. 4 according to the system design scheme, C # language is used to complete the development of the system function module. The system is applied to the Shenbei beak signal station to direct the passing ship. The practical application of Shenbeizou traffic signal station shows that the ship traffic command system based on expert system can automatically generate ship traffic queue information, give navigation instructions automatically, and make decision information to direct the ship to pass through the river section efficiently and orderly. It shortens the time for ships to pass through and control the reach of the river, ensures the safety and order of the passage of the vessels, thus improves the efficiency, scientificalness and accuracy of command and dispatch, and greatly improves the traffic and transportation capacity of the Yangtze River route. Achieve the goal of intelligent command and dispatch of traffic signal station.
【学位授予单位】:重庆大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:U675.7

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