【摘要】：經濟全球化的迅速發(fā)展,導致大量工業(yè)制成品等適箱貨源的增加,使得海運的主導地位和作用仍將是其他運輸方式不可替代的。為了更好的為船舶提供助航服務、交通組織服務,有效監(jiān)管船舶動態(tài),減少水上交通事故,VTS系統在我國海事部門獲得廣泛應用。但我國的VTS系統嚴重依賴進口,目前國內的市場和技術幾乎被歐洲的SIGNALIS公司所壟斷,因此研制具有自主知識產權的成套VTS系統就顯得十分必要。 進口的VTS9760、VTS9770以及SIGNALIS公司最新推出SYTAR系統應用在我國長江這種水運環(huán)境復雜的內河航道以及大運輸量港口,還是會出現目標船舶與AIS提供的船名、吃水等靜態(tài)信息關聯錯誤的現象。 為研發(fā)一整套擁有自主知識產權的國產VTS,沖破國際VTS系統研發(fā)商對我國船舶交通服務系統的技術壟斷。本文從多傳感器數據融合領域開展研究,從而運用到我國國產VTS系統的開發(fā)中。論文提出將雷達覆蓋區(qū)域進行區(qū)域分割,采取分塊關聯判斷的策略。使用改進的多因素模糊綜合航跡關聯算法對整個監(jiān)控區(qū)域內接收到的AIS信息和雷達觀測到的目標航跡信息,進行航跡關聯判斷。算法采用卡爾曼濾波減小噪聲干擾并在假設以實現目標跟蹤的前提下預測目標在下一時刻的狀態(tài)最優(yōu)值。采用模糊數學中的Z型隸屬度分布作為隸屬度函數對雷達和AIS信息進行隸屬度計算。為考證算法的可靠、有效性,論文選擇MATLAB做建模仿真并給出了最終的實驗結果圖。 針對多個雷達交匯區(qū)域內的目標航跡融合,本文對加權平均融合算法和交叉協方差融合算法進行了比較。并結合kalman濾波及PDA算法提出改進的航跡融合算法kalPDA算法。論文最后還提出了一些在信息融合基礎之上的拓展應用,以提高國產VTS在實際船舶監(jiān)管中的實用性。
[Abstract]:With the rapid development of economic globalization, a large number of industrial manufactured goods and other suitable sources of goods increased, making the leading position and role of shipping will still be irreplaceable by other modes of transportation. In order to provide better navigation service for ships, traffic organization services, effective supervision of ship dynamics, reduce water traffic accidents in the VTS system has been widely used in maritime departments in China. However, China's VTS system relies heavily on imports, and the domestic market and technology are almost monopolized by SIGNALIS companies in Europe, so it is necessary to develop a complete set of VTS systems with independent intellectual property rights. The imported VTS9760,VTS9770 and SYTAR system introduced by SIGNALIS Company are used in the inland waterway and large volume port of the Yangtze River in our country, but the target ship and the ship's name, draft and other static information provided by the AIS will still appear the phenomenon of wrong association with the static information such as the ship's name, draft and so on. In order to develop a set of domestic VTS, with independent intellectual property rights, it breaks through the technical monopoly of international VTS system R & D on China's ship traffic service system. In this paper, the research of multi-sensor data fusion is carried out, which is applied to the development of domestic VTS system in China. In this paper, the region of radar coverage is segmented, and the strategy of block association judgment is adopted. The improved multi-factor fuzzy synthetic track association algorithm is used to judge the track association between the AIS information received in the whole monitoring area and the target track information observed by radar. Kalman filter is used to reduce noise interference and to predict the optimal state of the target at the next moment under the assumption of target tracking. The Z-type membership degree distribution in fuzzy mathematics is used as the membership function to calculate the membership degree of radar and AIS information. In order to verify the reliability and validity of the algorithm, MATLAB is selected for modeling and simulation, and the final experimental results are given. In this paper, the weighted average fusion algorithm and the cross covariance fusion algorithm are compared for the target track fusion in multiple radar intersection regions. Combined with kalman filter and PDA algorithm, an improved track fusion algorithm, kalPDA algorithm, is proposed. Finally, some extended applications based on information fusion are proposed to improve the practicability of domestic VTS in ship supervision.
【學位授予單位】：大連海事大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：U675.7;TP202

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