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B/S架构的海上船舶交通信息管理系统 被引量:3

Marine traffic information management system based on B/S
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摘要 为了实现海上船舶交通管理的信息共享,提高对海上船舶交通信息管理的智能水平,提出一种基于B/S架构的海上船舶交通信息管理系统开发设计方案。系统采用无线信息采集层、网络数据传输层和面向对象应用层的3层结构,采用RFID、无线传感器、红外等数据信息感知技术进行海上船舶交通信息的原始采集,在B/S架构体系上进行交通信息管理系统的总线数据传输和远程通信设计,系统采用Lab Windows/CVI和B/S结构进行无线通信组网设计,在应用层完成整个船舶交通信息处理和交叉编译操作,在嵌入式内核下进行海上船舶交通信息管理系统的软件开发设计。系统测试结果表明,采用该系统进行海上船舶交通信息管理的智能性较好,对交通信息的集成调度能力较强。 In order to realize the information sharing of marine vessel traffic management and improve the intelligence level of marine vessel traffic information management, a design scheme of marine traffic information management system based on B/S is proposed. The system uses wireless information collection layer, network layer data transmission and object oriented application layer three layer structure, the original collection of marine traffic information by RFID, wireless sensor,infrared data sensing technology, design of bus data transmission and remote communication system of traffic information tube in B/S architecture, the system the Lab Windows/CVI and B/S structure of wireless communication network design,complete the whole ship traffic information processing and cross compiler operation in the application layer, the software design and development of information management system of marine traffic in the embedded kernel. The system test results show that the system is more intelligent for marine vessel traffic information management, and has stronger ability of integrated traffic information scheduling..
作者 罗春
机构地区 四川天一学院
出处 《舰船科学技术》 北大核心 2017年第24期137-139,共3页 Ship Science and Technology
基金 四川省教育厅科研基金项目(17SB0198)
关键词 B/S架构 海上船舶 交通信息 管理系统 B/S architecture maritime traffic information management system
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  • 1孟凡超,张海洲,初佃辉.基于蚁群优化算法的云计算资源负载均衡研究[J].华中科技大学学报(自然科学版),2013,41(S2):57-62. 被引量:13
  • 2李燕斌,李燕春.用XCF32P实现FPGA的高速动态配置[J].电讯技术,2006,46(6):199-202. 被引量:6
  • 3Han J W,Kamber M.数据挖掘:概念与技术[M].范明,孟小峰,译.2版.北京:机械工业出版社,2007:251-301.
  • 4丁玉美,高西全.数字信号处理[M].3版.西安:西安电子科技大学出版社,2009.
  • 5Armbrust M, Fox A, Griffith R, et al. A view of cloud computing [ J]. Communications of the ACM, 2010, 53 (4) : 50-58.
  • 6Mell P, Grance T. The NIST definition of cloud computing [ J]. Communications of the ACM, 2010, 53 (6) :50-55.
  • 7Buyya R, Yeo CS, Venugopal S, et al. Cloud computing and emerging IT platforms : vision, hype, and reality for de- livering computing as the 5th utility[ J]. Future Generation Computer Systems, 2009, 25(6) :599-616.
  • 8Dean J, Ghemawat S. Map-Reduce: Simplified data pro- cessing on large clusters [ J ]. Communications of the ACM, 2012, 51(1):107-113.
  • 9Braun TD, Siegel H J, Beck N, et al. A Compares on of e- leven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems - J]. Journal of Parallel and Distributed Computing, 2001, 61(6) :810-837.
  • 10JAGRAW R, SRIKANT R. Fast algorithms for mining association rules [ C]// Proceedings of the 20th International Conference on Very Large Data Bases. San Francisco, CA: Morgan Kaufmann, 1994:487-499.

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