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船舶人員監(jiān)測(cè)管理系統(tǒng)關(guān)鍵技術(shù)研究

發(fā)布時(shí)間:2018-08-28 17:56
【摘要】:現(xiàn)有的船舶人員管理系統(tǒng)主要偏向于靜態(tài)管理,缺乏動(dòng)態(tài)監(jiān)測(cè)管理。另外,受2008年金融海嘯的影響,船舶行業(yè)訂單大量減小,信貸大幅萎縮,急需降低造船成本。針對(duì)越來越多的大型郵輪、工程船舶、軍事船舶以及貨運(yùn)船舶提出了對(duì)船舶艙內(nèi)、甲板以及周圍水域相關(guān)人員的動(dòng)態(tài)監(jiān)測(cè)管理需求和造船企業(yè)降低造船成本的要求,本文研究了基于無線傳感器網(wǎng)絡(luò)技術(shù)的船舶人員監(jiān)測(cè)管理系統(tǒng),重點(diǎn)研究了船舶人員監(jiān)測(cè)管理系統(tǒng)的硬件實(shí)現(xiàn)、軟件實(shí)現(xiàn)和相關(guān)算法。 本文首先介紹了本課題的研究背景和國(guó)內(nèi)外現(xiàn)狀,,確定了課題的研究?jī)?nèi)容,并給出了論文的組織架構(gòu)。通過課題的研究目標(biāo)和設(shè)計(jì)原則,確定了研究方案。接著給出了硬件節(jié)點(diǎn)原理圖設(shè)計(jì),并討論了TinyOS操作系統(tǒng)的移植、驅(qū)動(dòng)程序的開發(fā)和硬件節(jié)點(diǎn)的軟件設(shè)計(jì),實(shí)現(xiàn)了船舶人員健康參數(shù)、運(yùn)動(dòng)參數(shù)和位置參數(shù)的采集。 其次,本文研究了以C#為開發(fā)語言的上位機(jī)軟件,實(shí)現(xiàn)了船舶人員信息的實(shí)時(shí)顯示、自動(dòng)存儲(chǔ)、數(shù)據(jù)分析和報(bào)表查詢。接著研究了定位跟蹤算法,并討論了用卡爾曼濾波算法解決RSSI測(cè)距定位算法易受干擾問題,以及用串口隊(duì)列緩存算法解決串口通信在數(shù)據(jù)流量較大地情況下出現(xiàn)的丟包問題。 最后,本文測(cè)試了系統(tǒng)的關(guān)鍵模塊,重點(diǎn)測(cè)試了定位跟蹤子系統(tǒng)。接著在長(zhǎng)江航道快艇上部署和測(cè)試了無線傳感器網(wǎng)絡(luò),驗(yàn)證船舶無線傳感器網(wǎng)絡(luò)的可行性。
[Abstract]:The existing ship personnel management system mainly inclines to static management and lacks dynamic monitoring management. In addition, under the impact of the 2008 financial tsunami, the shipping industry orders, credit shrank sharply, the need to reduce shipbuilding costs. In view of more and more large cruise ships, engineering ships, military ships and cargo ships, the demand for dynamic monitoring and management of the personnel involved in the cabin, deck and surrounding waters of the ship and the requirements of shipbuilding enterprises to reduce the shipbuilding cost are put forward. In this paper, the ship personnel monitoring and management system based on wireless sensor network technology is studied, and the hardware implementation, software implementation and related algorithms of the ship personnel monitoring and management system are emphatically studied. This paper firstly introduces the research background and the present situation at home and abroad, determines the research content of the subject, and gives the organization structure of the thesis. Through the research goal and design principle of the subject, the research scheme is determined. Then the schematic design of hardware node is given, and the transplantation of TinyOS operating system, the development of driver and the software design of hardware node are discussed. The acquisition of health parameter, motion parameter and position parameter of ship personnel is realized. Secondly, this paper studies the upper computer software based on C #, which realizes the real-time display, automatic storage, data analysis and report query of ship personnel information. Then, the location and tracking algorithm is studied, and the Kalman filter algorithm is used to solve the problem that RSSI ranging and location algorithm is vulnerable to interference, and the serial port queue cache algorithm is used to solve the problem of packet loss in the case of large data flow in serial communication. Finally, the key modules of the system are tested, and the positioning and tracking subsystem is emphatically tested. Then the wireless sensor network is deployed and tested on the Yangtze River waterway speedboat to verify the feasibility of the ship wireless sensor network.
【學(xué)位授予單位】:江蘇科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:U665.2

【參考文獻(xiàn)】

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2 喬鋼柱;李雪蓮;曾建潮;;基于TinyOS平臺(tái)的RSSI定位系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn)[J];電子科技;2013年02期

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