通航桥梁船撞风险分析与规避措施研究与应用
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摘要
为满足我国经济的迅猛发展,跨江河以及海峡海湾大桥也日益增多,相应桥梁遭受船舶撞击的事故也不断发生,轻者桥梁受损,重者桥塌人亡。国道325九江大桥船撞事件更加引起了社会的巨大反响,这也促使桥梁工程师们深刻反思,如何才能避免桥梁船撞事故或将桥梁船撞事故的风险降到最低?目前我国规范中关于桥梁船撞设计的思想落后,方法粗糙,难以满足我国桥梁建设日益发展的需要。本文正是在这样的背景下,以国道325九江大桥为工程背景,对桥梁船撞风险和基于多点多源视频信息融合的桥梁防船撞预警技术进行研究。本研究主要开展的研究工作如下:
     1)探讨了船桥碰撞事故发生的主要原因,在此基础上对九江大桥的船撞风险进行了分析;
     2)对九江大桥进行了防撞设计,并基于推倒分析验证了该设计的有效性;
     3)研究了各种船舶预警技术的特点,并分析了船舶预警系统的需求,提出了基于多点多源视频信息融合的桥梁船撞预警系统;
     4)分析了桥梁防撞预警系统中的视频信息处理的流程,并对基于多点多源视频信息融合的船舶预警系统中的关键技术进行了分析,包括有图像预处理、船舶识别和多点多源信息融合;
     5)提出了船舶预警事件的评估方法,并对瞬态预测预警和主动预警两种方式进行了分析;
     6)将基于视频信息融合的船撞预警技术应用于九江大桥,对系统的硬件和软件分别进行设计;
     最后,对基于多点多源视频信息融合的桥梁防船撞预警系统的研究进行了展望,对其中尚需进一步研究的内容进行了总结。
To meet the rapid economic development of our country, bridges stepping rivers and straits become increasing day and day. Correspondingly, the accident of ship-bridge collision happens frequently, which results in bridge damage only for the lighter punishment and bridge collapse and personal casualties for the worse. The accident that ship hits Jiujiang Bridge in No.325 national road causes an enormous response in society, which impels bridge engineer to ponder how to prevent ship-bridge collision or minimize the accident riskt? The domestic design specification for ship-bridge collision is too old and outdated to meet the requirement of bridge construction. In this context, Jiujiang Bridge in No.325 national road as were took as an example in this thesis, and it were investigated that the risk analysis of ship-bridge collision and the ship collision warning system based on multi-points and multi-sources video information fusion. The main research works in this thesis were listed as follows:
     1) The main reason, which leads to ship-bridge collision, was discussed, and then the risk of ship collision with Jiujiang Bridge was analyzed.
     2) Anti-collision measure of Jiujiang Bridge was designed and its effectiveness was validated based on pushover analysis.
     3) According to the characteristics of different warning technologies and the demanding of ship collision warning system, a novel ship collision warning system, based on the multi points and multi sources video information fusion, was proposed.
     4) The video information processing of the ship collision warning system was studied. Meanwhile the key technologies, including image preprocessing, ship identification, multi-points and multi-sources information fusion, were discussed.
     5) The evaluation method on ship collision warning events was proposed, and the early warning modes based on transient warning and active predicting were analyzed.
     6) The ship collision warning system based on the multi points and multi sources video information fusion was applied to Jiujiang Bridge, and the structures of this system, including hardware and software, were introduced.
     Finally the prospect on the ship collision warning system based on the multi points and multi sources video information fusion was discussed, and the contents needing further focus were summarized.
引文
[1] Www.Bridgeforum.Org/dir/collapse[db].
    [2]广东省公路勘察规划设计院有限公司.国道325线九江大桥修复工程南主桥重建施工图设计[z].2008,4.
    [3]杨斌,李海林.从广东“6.15”事故中谈谈如何避免驾驶员的失误行为[j].武汉航海,2007(3):11-13.
    [4] Aashto. Guide specification and commentary for vessel collision design of highway bridges[s]. American association of state highway and transportation officials, washington d.C. 1991.
    [5]杨渡军.桥梁的防撞保护系统及其设计[m].北京:人民交通出版社,1990.
    [6] Aashto. Lrfd bridge design specification and commentary[s]. American association of state highway and transportation officials, washington d.C,1994.
    [7] Iabse(顾翔,鲍卫刚译;张乃华校).交通船只与桥梁结构的相互影响(综述与指南)[m],1991.
    [8]张圣坤,白勇,唐文勇.船舶与海洋工程风险评估[m].北京:国防工业出版社. 2003.
    [9]巩春领.大跨度斜拉桥施工风险分析与对策研究[d].上海:同济大学博士学位论文. 2006.
    [10] O.D.Larsen,ship collision with bridges[m].iabse structural engineering documents.1993..
    [11] A.C.W.M. Vrouwenvelder.design for ship impact according to eurocode 1.part 2.7,ship collision analysis[s].1998.
    [12] C.U.Kunzi, ship bridge collision in river traffic, analysis and design practice[j]. Ship collision analysis.1998.
    [13]李雅宁.船-桥碰撞非线性有限元仿真研究[d].上海:上海交通大学硕士学位论文. 2003.
    [14]潘晋.船桥碰撞机理及桥墩防护装置研究[d].武汉:武汉理工大学硕士学位论文. 2003.
    [15]颜海泉.桥梁船撞有限元仿真分析[d].上海:同济大学硕士学位论文. 2004.
    [16]孙霁.桥梁防撞设施数值仿真研究[d].上海:同济大学硕士学位论文. 2005.
    [17]梁文娟,金允龙,陈高增.船舶与桥墩碰撞力计算及桥墩防撞[c].第十四届全国桥梁学术会议论文集,同济大学出版社,2000,566-571.
    [18] Gary r. Consolazio,david r. Cowan. Nonlinear analysis of barge crush behavior and its relationship to impact resistant bridge design[j],computers and structures, 2003 (81), 547~557.
    [19]岩井聪(akira iwar).关于船舶对桥梁的安全设施[j].中国航海. 1986(12).
    [20] Mou j.M., tak c.V.D., ligteringen h. Study on collision avoidance in busy waterways by using ais data[j]. Ocean engineering, 2010, 37(5-6): 483-490.
    [21]朱群英.基于视频图像处理的桥墩防撞研究[d].武汉:武汉理工大学.硕士论文.2006.
    [22]琚建飞,杨春金.基于视频图像处理的桥墩防撞技术研究[j].计算机时代,2006,(10):38-39.
    [23]尹巍.Vts中船舶航行危险预测技术的研究[d].大连:大连海事大学硕士学位论文,2008.
    [24]赵树利.Vts管理信息系统的功能需求及构成分析[j].中国水运,2008(6):9-11.
    [25] Nuutinen m., savioja p., sonninen s. Challenges of developing the complex socio-technical system: Realising the present, acknowledging the past, and envisaging the future of vessel traffic services[j]. Applied ergonomics, 2007, 38(5): 513-524.
    [26] Plant g. International legal aspects of vessel traffic services[j]. Marine policy, 1990, 14(1): 71-81.
    [27]方祥麟.Vts当前发展未来展望与ais技术的应用[j],中国航海,2000(1):95-99.
    [28]王也平,kleachors aliferis.中国vts系统信息的管理[j],大连:大连海事大学学报,2002(8):66-70.
    [29]张治源,李文华.浅谈vts在我国海事管理中的地位和作用[j].2002(1):48-50.
    [30]杨晓东.美国港口的船舶交通服务(vts)及其带来的思考[j].航海技术,2009(2):66-69.
    [31]张杏谷.台湾海峡船舶交通管理系统vts的研究[j].台湾海峡,1998(3):50-51..
    [32]幼萌.Vts系统国际应用近况[j].经营管理,2000(5)..
    [33] Chang l., xiaofei s. Study of ais application for vessel traffic service[c]. Networked computing (inc), 2010 6th international conference on. 2010. 1-4.
    [34] Chang s.J. Development and analysis of ais applications as an efficient tool for vessel traffic service[c]. Oceans '04. Mtts/ieee techno-ocean '04. 2004. 2249-2253.
    [35] Liu c. Study of ais communication protocol in vtsc]. Signal processing systems (icsps), 2010 2nd international conference. 2010. 168-171.
    [36] Kent p.E. Vhf radio transponder for use in vessel traffic services and for ship-to-ship purposes[c]. Radiocommunications in transportation, iee colloquium. 1995. 3/1-3/3.
    [37]李维运. Vts中雷达和ais信息融合算法研究[d].大连:大连海事大学硕士学位论文,2007.
    [38]史键.Ais系统的构成及信息处理[j].中国水运,2001(10):91-93.
    [39]郑道昌,周江华,刘柱云.Ais的主要功能及其使用技术分析[j].航海技术,2002(1):32-33.
    [40]中华人民共和国海事局.1974年国际海上人命安全公约第ⅴ章航行安全及其相关导则[s].北京,2002.
    [41] Scorzolini a., de perini v., razzano e., et al. European enhanced space-based ais system study[c]. Advanced satellite multimedia systems conference (asma) and the 11th signal processing for space communications workshop (spsc), 2010 5th. 2010. 9-16.
    [42] Shwu-jing c. Vessel identification and monitoring systems for maritime security[c]. Security technology, 2003. Proceedings. Ieee 37th annual 2003 international carnahan conference on. 2003. 66-70.
    [43] Te hennepe f., rinaldo r., ginesi a., et al. Space-based detection of ais signals: Results of a feasibility study into an operational space-based ais system.[c] advanced satellite multimedia systems conference (asma) and the 11th signal processing for space communications workshop (spsc), 2010 5th. 2010. 17-24.
    [44]于娜.通用自动识别系统(ais)的应用研究[d].大连:大连海事大学硕士学位论文,2007.
    [45]胡伟.Ais及在我国的应用[j].中国海事,2004,(7):15-16.
    [46]曹瑞.长江船舶自动识别系统(ais)的现状和发展前景[j].中国无线电,2009(11),49-52.
    [47]胡荣华.ais在上海船舶监督领域中的运用与发展[j].中国船检.2005(12)..
    [48]刘传润,珠江口ais系统的研究与实现[d],广州:华南理工大学硕士学位论文,2005.
    [49]君忠,周尊山,徐东华等.船载自动识别系统应用[m].大连:大连海事大学出版社,2006.
    [50]邓洪章.我国船舶自动识别系统(ais)岸台建设概括[j].船用导航雷达.2004(3):1-2..
    [51]岳锐,张俊忠,徐俊峰.基于视频桥墩防撞预警系统的软件设计[j].软件导刊, 2006.
    [52] Kanade,okulom.A stereo matching algorithm with an adaptive window[j].Theory and experiment.1994,(9):920-931.
    [53]罗勤.基于序列图像处理的桥墩防撞预警系统的研究[d].武汉:华中科技大学硕士学位论文, 2006.
    [54]张文,方飞.视频监控在煤矿中的应用研究[j].煤炭工程,2010(1):112-114.
    [55]张浩,王玮,徐丽杰,秦欢,刘明.图像识别技术在电力设备监测中的应用[j].电力系统保护与控制,2010(6):88-91.
    [56]周巧娣,郑为贵,蔡文郁.深海探测甲板视频监控平台的研究与实现[j].海洋通报,2009(3):81-85.
    [57]宋红,石峰.面向视频监控的快速多人脸检测与分割[j].兵工学报,2006(2):252-257.
    [58]王殿海,胡宏宇,李志慧,曲昭伟.违章停车检测与识别算法[j].吉林大学学报(工学版),2010(1).
    [59] K r castleman.Digiatl image proeessing[m].Perntice hall,1998.
    [60] Bradski g r, clara s.Computer vision face tracking for use in a perceptual user interface[j].Intelligence technology journal,1998,2: 1-15.
    [61]夏良正.数字图像处理[m].南京:东南大学出版社,1999..
    [62]金春花,欧阳品,王国槟.自适应加权中值滤波图像去噪算法[j],九江职业技术学院学报,2005(1):19-20.
    [63]阮秋琦.数字图像处理学[m].北京:电子工业出版社,2001..
    [64] R.C. Gonzalez,r.E. Woods.digital image processing(2th edition)[m].beijing:publishing house of electronics industry,2003..
    [65]甘金来,图像边缘检测算法的比较研究[d],成都:成都电子科技大学硕十学位论文,2005..
    [66] J.canny.a computational approach to edge detection[j].ieee transactions on pattern analysis and machine intelligence,1986(6):679—698..
    [67] James r parker.algorithms for image processing and computer visionp[m].new york:john wiley&sons,inc,1997,23—29..
    [68]李刚,邱尚斌,林凌,曾锐利.基于背景差法和帧间差法的运动目标检测方法[j],仪器仪表学报,2006(8):961-964.
    [69] Nicu sebe, michael s.Lew.Maximum likelihood stereo matching[c]. International conference on pattern recognition(icpr'00), 2000.
    [70]屈有光,田维坚,李英才.基于并行隔帧差分光流场与灰度分析综合算法的运动目标检测[j],光子学报,2003(2):182-196.
    [71]杨凯.视频图像序列中运动目标的提取与跟踪算法的研究[d],北京:北京理工大学硕士学位论文,2003.
    [72] Hongxia c., shujiang y., qingchang g., et al. Object tracking algorithm based on camshift algorithm combinating with difference in frame[c]. Automation and logistics, 2007 ieee international conference. 2007. 51-55.
    [73] Zhan c., duan x., xu s., et al. An improved moving object detection algorithm based on frame difference and edge detection[c]. Image and graphics, 2007. Icig 2007. Fourth international conference on. 2007. 519-523.
    [74]韩思奇.王蕾图像分割的阈值法综述[j],系统工程与电子技术,2002(6).
    [75] Otsu n. A threshold selection method from gray-level histogram [j]. Ieee trans man cybernet. 1978, smc-8: 62-66.
    [76]章毓晋.图像分割[m].北京:科学出版社,2001.
    [77]杨枝灵,王开等.数字图像获取、处理及实践应用[m].北京,人民邮电出版社,2003.
    [78]王颋,肖世德,朱为鹏.背景信息提取运动目标图像分割算法[j].计算机工程与应用,2004(12).
    [79] Kyun jung, simon lacroix. A robust interest points matching algorithm[c]. Ieee trans.On image processing. 2001(11):538~542.
    [80]周志宇,汪亚明,黄文清.基于动态图像序列的运动目标跟踪[j].浙江工程学院学报, 2002(9):165-170.
    [81] Fan-chieh c., shih-chia h., shanq-jang r. Advanced background subtraction approach using laplacian distribution model[c]. Multimedia and expo (icme), 2010 ieee international conference on. 2010. 754-759.
    [82] Fiala m., chang s. Background subtraction using self-identifying patterns[c]. Computer and robot vision, 2005. Proceedings. 2005. 558-565. 558-565.
    [83] Lian x., zhang t., liu z. A novel method on moving-objects detection based on background subtraction and three frames differencing[c]. Measuring technology and mechatronics automation (icmtma), 2010 international conference on. 2010. 252-256.
    [84] Mchugh j.M., konrad j., saligrama v., et al. Foreground-adaptive background subtraction[j]. Signal processing letters, ieee, 2009, 16(5): 390-393.
    [85] Mohamed s.S., tahir n.M., adnan r. Background modelling and background subtraction performance for object detection[c]. Signal processing and its applications (cspa), 2010 6th international colloquium on. 2010. 1-6.
    [86] Seki m., fujiwara h., sumi k. A robust background subtraction method for changing background[c]. Applications of computer vision, 2000, fifth ieee workshop on. 2000. 207-213.
    [87]吴祖林,沈庆宏,都思丹,高敦堂.背景提取基础上运动车辆视频检测[j].交通与计算机, 2003(6).
    [88]袁基炜,史忠科.一种快速运动目标的背景提取算法[j].计算机应用, 2004.
    [89] Wixson, l.,detecting salient motion by accumulating directionally-consistentflow[j].Pattern analysis and machine intelligence, ieee transactions.2000(8):774-780.
    [90]王迥波.基于图像识别的运动目标检测与跟踪系统[d].大连:大连理工大学硕士学位论文,2009.
    [91]张杨.运动目标图像的检测与跟踪[d].中北大学硕士学位论文,2005.
    [92]邢卓异.基于图像的目标识别与跟踪方法研究[d].哈尔滨:哈尔滨工业大学博士学位论文,2007.
    [93]万文静.基于光流的图像目标跟踪方法研究[d].西安:西北工业大学硕士学位论文,2006.
    [94] S.E. Van manen., ship collisions due to the pressence of brideges [r]. Brussels: Pianc general secretariat, 2001.
    [95]戴彤宇,聂武,刘伟力.长江干线船撞桥事故分析[j],中国航海,2002(4).
    [96]戴彤宇.船撞桥及其风险分析[d].哈尔滨:哈尔滨工程大学博士论文,2002.
    [97]陈智君,黄家伟.广西辖区近年水上交通事故统计分析[j],珠江水运,2008(3):34-36.
    [98]卢建禄,人为因素与水上安全[j],珠江水运,2007(10).
    [99]雷汉洲.上海港及附近水域船舶交通安全评价[d],武汉:武汉理工大学硕士学位论文,2006.
    [100]任茂东,李荣棠,人的因素对船舶安全影响的探讨─对某海运公司199.11~1992.3海事统计的分析[j],航海教育研究,1994(1):17-20.
    [101]中华人民共和国交通部,《公路钢筋混凝土及预应力混凝土桥涵设计规范》(jtg d62-2004)[s].北京:人民交通出版社,2004.
    [102]中华人民共和国交通部,《公路桥涵地基与基础设计规范》(jtg d63-2007)[s],北京:人民交通出版社,2007.
    [103] Api, api recommended practice for planning designing and constructing fixed offshore platforms [s], 17th edition 1987.
    [104] Reese, l. C., cox, w. R. And koop, f. D. Field testing and analysis of laterally loaded piles in stiff clay [c].Proceedings, seventh offshore technology conference, houston, texas, 1975.
    [105] Reese, l. C. And welch, r. C. Lateral loading of deep foundations in stiff clay [j]. Journal of the geotechnical engineering division, american society of civil engineers, 1975: 633-649. .
    [106] Reese, l. C., cox, w. R. And koop, f. D. Analysis of laterally loaded piles in sand [c]. Proceedings, fifth annual offshore technology conference, houston, texas, 1974.
    [107]中华人民共和国行业标准,港口工程桩基规范,jtj254-98.
    [108]陈诚.桥梁设计船撞力及损伤状态仿真研究[d].上海:同济大学硕士学位论文. 2006.
    [109] Api ,recommended practice for planning, designing and constructing fixed offshore platforms–working stress design[ss]. 20th edition, american petroleum institute,.1993.
    [110]阮秋琦编著.数字图像处理学[m].北京:电子工业出版社,2001.
    [111]冈萨雷斯等著,数字图像处理(matlab版)[m].阮秋琦等译,电子工业出版社,2005.
    [112]沈睿.基于vts图像的船舶自动跟踪技术与实现[d].大连:大连海事大学硕士学位论文,2010.
    [113]于洋.卡尔曼滤波器在船舶航迹跟踪中的应用[j].江苏船舶,2005(2):31-35.

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