海运中的物联网大数据协同处理系统研究

Research on collaborative system based on internet of things and big data used in marine transportation

由于海洋运输中的管理和调度不当,每年有数以百计的船舶遭到损坏或沉没,不仅造成了巨大的经济损失,同时也带来了不可挽回的环境影响和生命损失。随着海洋运输业的不断扩张和港口繁忙程度地不断加重,当前使用的海洋交通调度、管理技术,越来越难以防止海上事故的发生,造成了极大的安全隐患。因此,船运公司、政府部门、海军港口等都急需一种新的技术来提高海洋交通管理的可靠性和安全性。为此本文提出一种应用于海运的物联网大数据协同处理系统。通过物联网技术提供的实时监测数据,以及基于大数据分析的事件认知过程,该系统能够智能化地处理大量的船舶调度需求,为未来船舶和海运的发展,提供一定的借鉴。

Because of the improper management and dispatching in ocean transportation, hundreds of ships are damaged or sank each year, which not only causes huge economic losses, but also brings irreversible environmental impact and loss of life. With the continuous expansion of the marine transportation industry and the increase of the port's busy degree,the marine traffic dispatching and management technology currently used is becoming more and more difficult to prevent the occurrence of marine accidents, resulting in great security risks. Therefore, shipping companies, government departments,naval ports and so are in urgent need of a new technology to improve the reliability of marine traffic management and security. Therefore, in this paper, we propose a large-data co-processing system for Internet of Things. Real-time monitoring data provided by the Internet of Things technology, and the event cognition process based on large data analysis, the system can intelligently handle a large number of ship scheduling requirements. At the same time, in view of the above technology in the ship specific application, this article proposed the concept of intelligent ship, for the future development of ships and maritime transport, provides a reference.