船舶智能管理系统设计及应用研究

发布时间：2019-03-20 07:19

【摘要】：随着国际航运市场的不断发展壮大,船舶作为海运行业的重要运输工具,其相应的配套设施正在朝信息化、数字化、智能化方向发展,作为航运业基础的船舶管理,也面临着科技发展和管理理念的创新。目前,船舶管理系统多局限于数据管理,缺少必要的数据分析,难以为企业的各种决策提供数据和信息,不利于指导企业更好地降低运营成本,提高船员管理水平。论文基于计划保养体系PMS(Planned Maintenance System)理念,设计并实现了一套针对航次管理、证书管理、油料管理和船员管理的船舶智能管理系统,重点对船员的成长性进行了数据分析与挖掘。首先,分析了PMS技术体系,结合船舶管理的实际需求,构建了船舶智能管理系统的体系架构。基于关联性分析,运用RFCM算法对船员管理数据进行挖掘,发现了船员关联性、成长性因素及其重要性。采用MVC模式,基于JSP编程和My SQL数据库技术,设计并实现了系统运行平台。系统实现了岸基数据的无缝链接,船舶端依据接收到的岸基数据包,对数据进行及时更新与维护。论文在航次管理、证书管理、油料管理和船员管理等方面实现了管理信息化,满足船员、企业和海事部门对船舶运营的相关信息需求,有助于企业对船舶相关数据的监控与分析,对降低船舶管理成本,提高船舶运营效率具有一定的作用。创新之处在于:1)基于PMS理念构建船舶管理系统,通过互联网实现船舶管理公司内部及船舶信息资源的同步更新与共享,实现船舶实时监控与数据的科学分析。2)基于数据相关性分析理论,对船员成长性相关因素及其重要程度进行挖掘与分析,为企业提高船员管理水平提供支持和帮助。
[Abstract]:With the continuous development of the international shipping market, as an important means of transportation in the maritime industry, the corresponding supporting facilities are developing in the direction of information, digitization and intelligence, and ship management, which is the foundation of the shipping industry, is being developed in the direction of information, digitization and intelligence. It is also facing the innovation of science and technology development and management concept. At present, ship management system is limited to data management, lack of necessary data analysis, it is difficult to provide data and information for all kinds of decision-making, which is not conducive to guide enterprises to reduce operating costs and improve the management level of crew. Based on the idea of planning and maintenance system PMS (Planned Maintenance System), this paper designs and implements a set of intelligent ship management system for voyage management, certificate management, oil management and crew management. The emphasis is placed on the data analysis and mining of the growth of the crew. Firstly, the PMS technology system is analyzed, and the architecture of ship intelligent management system is constructed according to the actual requirements of ship management. Based on the correlation analysis, the RFCM algorithm is used to mine the crew management data, and the ship crew relevance, growth factors and their importance are found. Using MVC mode, based on JSP programming and My SQL database technology, the system running platform is designed and implemented. The system realizes the seamless link of the shore-based data. According to the received shore-based data package, the ship terminal updates and maintains the data in time. In the aspects of voyage management, certificate management, oil material management and crew management, the paper realizes the information management to meet the information needs of crew, enterprises and maritime departments on ship operation. It is helpful for enterprises to monitor and analyze ship-related data, reduce the cost of ship management and improve the efficiency of ship operation. The innovations are as follows: 1) based on the idea of PMS, the ship management system is constructed, and the internal and ship information resources of the ship management company are updated and shared synchronously through the Internet. To realize the scientific analysis of ship real-time monitoring and data. 2) based on the theory of data correlation analysis, the factors related to crew growth and their importance are excavated and analyzed in order to provide support and help for enterprises to improve the management level of crew members.
【学位授予单位】：山东交通学院
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U69-39;TP311.52

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