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Application and Prospect of New Technology in Inland Waterway Regulation

机译:新技术在内河航道整治中的应用与展望

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With the development of economy and society, the demand for inland river transportation is increasing. A large number of waterways is restricted by natural conditions and other factors. It is becoming more and more difficult to build a high-grade waterway. How to make full use of the limited waterway resources and improve comprehensive service capacity has become an important subject of inland waterway transportation. Based on the current situation and business scope of waterway regulation, this paper summarizes the requirements of waterway regulation. It also designs an intelligent waterway management system according to analyzing the applications of intelligent sensor, Internet of Things, big data, cloud computing, artificial intelligence, wireless communication in waterway management. This intelligent system can provide navigation security services including waterway maintenance, hydrometeorological, route planning, dynamic monitoring, automatic collision avoidance supporting, rescue service, and traffic flow management. It will bring a new form of modern shipping with more efficient production, more scientific management, more flexible and transparent service, and stronger guarantee. In the future, the application of waterway should gradually adapt to the development of economy and society. Finally, it will achieve the goal of the overall perception of shipping elements, the comprehensive sharing of shipping information, the comprehensive intelligence of shipping production, the comprehensive wisdom of shipping management, and the high quality of shipping service.
机译:随着经济社会的发展,对内河运输的需求不断增长。大量水道受到自然条件和其他因素的限制。建设高等级水路越来越困难。如何充分利用有限的航道资源,提高综合服务能力,已成为内河航道运输的重要课题。根据航道整治的现状和业务范围,总结了航道整治的要求。通过分析智能传感器,物联网,大数据,云计算,人工智能,无线通信在水路管理中的应用,设计了智能水路管理系统。该智能系统可以提供导航安全服务,包括水道维护,水文气象,路线规划,动态监控,自动防撞支持,救援服务和交通流管理。这将带来一种新型的现代航运方式,其生产效率更高,管理更科学,服务更灵活,更透明,保障更强。未来,航道的应用应逐渐适应经济社会的发展。最后,它将实现对运输要素的整体感知,对运输信息的全面共享,对运输生产的全面智能,对运输管理的全面智慧以及对运输服务的高质量的目标。

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