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基于多波束測深聲納的船舶吃水自動(dòng)檢測技術(shù)研究及實(shí)現(xiàn)

發(fā)布時(shí)間:2019-03-30 21:52
【摘要】:隨著長江航運(yùn)量的逐年增長,船舶超吃水違規(guī)行為也逐年增多,部分違法分子為了追求個(gè)人的利益,不按照規(guī)定進(jìn)行貨物裝載,使船舶吃水嚴(yán)重超過航運(yùn)標(biāo)準(zhǔn),容易造成船舶擱淺和航道的破壞,擾亂航道秩序,甚至影響經(jīng)濟(jì)的發(fā)展,治理船舶超吃水現(xiàn)象的關(guān)鍵在于對(duì)船舶吃水進(jìn)行有效地檢測。本文針對(duì)長江流域船舶吃水檢測需求進(jìn)行了分析,提出了基于多波束測深聲納的船舶吃水檢測方法,研究了基于多波束測深聲納的船舶吃水檢測技術(shù),并對(duì)其進(jìn)行了初步的實(shí)現(xiàn)以及實(shí)地實(shí)驗(yàn),相關(guān)技術(shù)可以對(duì)船舶進(jìn)行實(shí)時(shí)吃水檢測,不影響船舶正常通航且檢測精度符合要求,對(duì)保障長江航道通航安全具有重要意義。主要研究工作如下:(1)通過分析長江流域環(huán)境狀況,包括船舶與航道特征,提出了船舶吃水自動(dòng)檢測平臺(tái)的總體需求;通過分析多波束測深聲納的檢測方法與原理,設(shè)計(jì)基于多波束測深聲納的船舶吃水實(shí)時(shí)檢測平臺(tái)以及系統(tǒng)框架。(2)研究多波束測深聲納設(shè)備數(shù)據(jù)傳輸方式、報(bào)文格式以及傳輸協(xié)議,設(shè)計(jì)數(shù)據(jù)傳輸和數(shù)據(jù)解析方案,從而獲取多波束測深聲納實(shí)時(shí)數(shù)據(jù)。(3)對(duì)多波束測深數(shù)據(jù)預(yù)處理方法進(jìn)行研究,包括了多波束測深數(shù)據(jù)的修正和補(bǔ)償以及異常數(shù)據(jù)的過濾處理。研究了環(huán)境因素(姿態(tài)和聲速)對(duì)多波束測深數(shù)據(jù)的修正與補(bǔ)償;分析了多波束測深異常數(shù)據(jù)的特征,將異常數(shù)據(jù)分為離散異常數(shù)據(jù)和連續(xù)異常數(shù)據(jù),利用單幀和多幀的處理方法對(duì)離散異常數(shù)據(jù)進(jìn)行處理,從統(tǒng)計(jì)單幀最大吃水的角度對(duì)連續(xù)異常數(shù)據(jù)進(jìn)行處理,通過實(shí)測數(shù)據(jù)和仿真數(shù)據(jù)進(jìn)行實(shí)驗(yàn)分析。(4)研究長江流域船舶吃水的動(dòng)態(tài)識(shí)別方法和流程,包括吃水檢測起始和結(jié)束識(shí)別、單船吃水識(shí)別和并行船舶吃水識(shí)別。提出了多條并行船舶數(shù)據(jù)分割方法,通過實(shí)地實(shí)驗(yàn)驗(yàn)證該船舶吃水識(shí)別算法的檢測精度和誤差范圍。(5)對(duì)基于多波束測深聲納的船舶吃水檢測應(yīng)用示范軟件進(jìn)行了初步地實(shí)現(xiàn),包括了數(shù)據(jù)通信、數(shù)據(jù)解析、數(shù)據(jù)回訪以及船舶吃水?dāng)?shù)據(jù)顯示及檢測等功能。經(jīng)初步實(shí)驗(yàn)表明該系統(tǒng)的技術(shù)是可行的,為后續(xù)相關(guān)技術(shù)研究以及工程實(shí)施打下了堅(jiān)實(shí)的基礎(chǔ)。
[Abstract]:With the increase of the traffic volume of the Yangtze River year by year, the illegal behavior of ships overdraft has also increased year by year. In order to pursue the personal interests, some illegal elements do not carry out cargo loading in accordance with the regulations, which makes the draught of ships seriously exceed the shipping standards. It is easy to cause ship grounding and damage of waterway, disturb the order of waterway, and even affect the development of economy. The key to control the phenomenon of ship overdraft lies in the effective detection of ship draught. In this paper, the requirement of ship draft detection in Yangtze River Basin is analyzed, a ship draft detection method based on multi-beam sounding sonar is proposed, and the ship draft detection technology based on multi-beam sounding sonar is studied. The preliminary realization and field experiment are carried out. The relevant technology can be used for real-time draught detection of ships, which does not affect the normal navigation of ships and meets the requirements of detection accuracy. It is of great significance to ensure the navigation safety of the Yangtze River waterway. The main research work is as follows: (1) through the analysis of the environmental conditions of the Yangtze River basin, including the characteristics of ships and waterways, the overall requirements of the automatic detection platform for ship drains are put forward; By analyzing the detection method and principle of multi-beam sounding sonar, a ship draft real-time detection platform and system framework based on multi-beam sounding sonar is designed. (2) the data transmission mode of multi-beam bathymetric sonar equipment is studied. The packet format and transmission protocol are used to design the data transmission and data analysis scheme to obtain the real-time data of multi-beam sounding sonar. (3) the preprocessing method of multi-beam sounding data is studied. It includes the correction and compensation of multi-beam bathymetric data and the filtering of abnormal data. The correction and compensation of environmental factors (attitude and sound velocity) to multi-beam bathymetric data are studied. The characteristics of multi-beam bathymetric anomaly data are analyzed. The anomaly data is divided into discrete abnormal data and continuous abnormal data, and the discrete abnormal data is processed by single frame and multi-frame processing method. The continuous anomaly data is processed from the point of view of statistical single frame maximum draught, and the experimental analysis is carried out through the measured data and simulation data. (4) the dynamic identification method and process of ship draft in the Yangtze River Basin are studied. Including start and end identification of draft detection, single ship draft recognition and parallel ship draft recognition. In this paper, a method of multi-parallel ship data segmentation is proposed. The detection accuracy and error range of the ship draft identification algorithm are verified by field experiments. (5) the application demonstration software of ship draft detection based on multi-beam bathymetric sonar is preliminarily realized, including data communication and data analysis. Data back visit and ship draught data display and detection functions. The preliminary experiments show that the technology of the system is feasible, which lays a solid foundation for the follow-up related technical research and engineering implementation.
【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)】:U693.4

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