Please wait a minute...
J4  2009, Vol. 43 Issue (09): 1743-1748    DOI: 10.3785/j.issn.1008-973X.2009.
    
Voyage plan designing system of ocean scientific survey
CHEN Hua-feng1, ZHANG Xiao-can1, TAO Chun-hui2, HE Yong-hua2, HUANG Zhi-cai1, SU Cheng1
(1. Department of Earth Science, Zhejiang University, Hangzhou 310027, China; 2. The Second Institute of
Oceanography, State Oceanic Administration, Hangzhou 310012, China)
Download:   PDF(1009KB) HTML
Export: BibTeX | EndNote (RIS)      

Abstract  

Automated and visualized voyage plan designing system (VPDS) was designed and implemented by using computer technology, GIS technology and database technology to improve the informatization of ocean scientific survey. Two concepts including survey area and work area were proposed, and contents of voyage plan designing (VPD) were classified and layered based on the concepts. Port, work area, inflexion point, navigation route, survey station, survey area and survey route were spatially abstracted in order to achieve visualized designing. A method for designing navigation route based on triangulated irregular network (TIN) was proposed to optimize the navigation route. Successful applications in voyages DY115-19 and DY115-20 show that the system has strong practicability.



CLC:  P 71  
  P 2  
Cite this article:

CHEN Hua-Feng, ZHANG Xiao-Can, DAO Chun-Hui, et al. Voyage plan designing system of ocean scientific survey. J4, 2009, 43(09): 1743-1748.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2009.     OR     http://www.zjujournals.com/eng/Y2009/V43/I09/1743


大洋科考航次设计系统研究

为了提高大洋科考航次设计的信息化水平,设计并实现了基于计算机技术、GIS技术和数据库技术,具有自动化和可视化功能的航次设计系统(VPDS),在航次设计系统中提出了测线区和工作区的概念,并基于测线区和工作区对航次设计(VPD)内容进行了分类和分层,同时为了实现可视化航次设计对港口、工作区、拐点、航线、测站、测线区以及测线进行了空间抽象,另外提出了基于不规则三角网(TIN)的航线设计方法,以实现航线的最优设计.在DY115-19和DY115-20航次中的成功应用表明,该系统具有较强的实用性.


[1]任建国.我国海洋科学“十一五”发展战略与优先资助领域
[J].中国科学基金,2007,21(1):7-13.

REN Jian-guo. Developmental strategy and funding preferences of “the eleventh five-year plan” of oceanography in China
[J]. Bulletin of National Natural Science Foundation of China, 2007, 21(1):7-13.


[2]刘宁钟,杨静宇.遗传算法和Hopfield模型求解货郎担问题的比较和分析
[J].计算机工程与应用,2003,39(4):95-97.

LIU Ning-zhong,YANG Jing-yu. Comparison and analysis between genetic algorithm and hopfield network to resolve TSP
[J]. Computer Engineering and Applications, 2003, 39(4):95-97.


[3]HOLLAND J H. Adaptation in natural and artificial system
[M].Cambridge:MIT,1992.


[4]GOLDBERG D E.Genetic algorithms in search, optimization and machine learning
[M].MA: Wesley, 1989.


[5]RNDOLPH G. Convergence analysis of canonical genetic algorithms
[J].IEEE Transactions on Neural Networks,1994,5 (1):96-101.


[6]陈国良,王煦法,庄镇泉,等.遗传算法及其应用
[M].北京:人民邮电出版社,1996.


[7]邬伦,刘瑜,张晶,等.地理信息系统——原理、方法和应用
[M].北京:科学出版社,2001.


[8]武晓波,王世新,肖春生.一种生成Delaunay三角网的合成算法
[J].遥感学报,2000,4(1):32-35.

WU Xiao-bo,WANG Shi-xin,XIAO Chun-sheng. A hybridized method for building delaunay triangulation
[J].Journal of Remote Sensing,2000,4 (1):32-35.


[9]章孝灿,黄智才,戴企成,等.GIS中基于拓扑结构和凸壳技术的快速TIN生成算法
[J].计算机学报,2002,25(11):1212-1218.

ZHANG Xiao-can, HUANG Zhi-cai, DAI Qi-cheng, et al. An algorithm of speedily building TIN based on topological structure and convex shell in GIS
[J].Chinese Journal of Computers,2002,25 (11):1212-1218.


[10]李连营,李清泉,李汉武.基于MapX的GIS应用开发
[M].武汉:武汉大学出版社,2003.

No related articles found!