基于物联网结构的船舶监控中心多源定位数据研究

Research on multi-source location data of ship monitoring center based on internet of things

在船舶物联网结构中,每个船舶的位置信息都能够通过通信系统进行交换,从而每个船舶都能够知道自己在航道中的位置,最大程度上避免发生碰撞事故。因此本文在物联网结构的基础上,采用多源融合的技术,对船舶的定位导航信息进行融合处理,使定位数据的精度更高、获取成本更低,并以多源信息融合技术作为基础,重点对船舶的GPS或北斗导航信息进行处理,采用卡尔曼滤波算法,实现信息的噪声过滤,另一方面也采用物联网实现数据的集中处理,降低了处理成本。

In ship structure,the position information of each ship can be exchanged through the communication system,so that each ship can know its position in the channel and avoid the collision accident to the greatest extent. Therefore,based on the structure of the Internet of Things,this paper adopts the multi- source fusion technology to fuse the navigation and navigation information of the ship,which makes the location data more accurate and lower cost. Based on the multi- source information fusion technology,The focus on the ship' s GPS or Beidou navigation information processing,the use of advanced Kalman filter algorithm to ensure the correctness of the information in the transmission process,on the other hand also uses the Internet of Things to achieve centralized data processing, reducing processing costs.