基于云计算技术的船舶载荷建模

Research on ship load modeling based on cloud computing technology

由于一个船舶载荷与船舶自身因素和外界因素有关,导致船舶载荷建模是一个复杂、动态变化过程,为了准确跟踪船舶载荷变化趋势,提出一种基于云计算技术的船舶载荷建模方法。首先根据云计算技术搭建一个船舶载荷建模的平台,该平台包括多个节点,它们可以并行运行,然后将船舶载荷建模问题分配多个节点上进行处理,每一个节点采用RBF神经网络对船舶载荷进行建模与预测,最后将各个节点的船舶载荷预测结果进行融合,并与其他技术的船舶载荷建模方法进行了验证性测试,结果表明,云计算技术的船舶载荷建模效率得到了明显提升,且船舶载荷建模精度也有了一定的改善,验证了本文船舶载荷建模方法的优势。

Because a ship’s load is related to its own factors and external factors,ship’s load modeling is a complex and dynamic process.In order to accurately track the changing trend of ship’s load,a ship’s load modeling method based on cloud computing technology is proposed.Firstly,a platform for ship load modeling is built based on cloud computing technology.The platform consists of several nodes,which can run in parallel.Then the ship load modeling problem is allocated to several nodes for processing.Each node uses RBF neural network to model and predict ship load.Finally,the ship load prediction results of each node are fused with other technologies.The results show that the efficiency of ship load modeling based on cloud computing technology has been significantly improved,and the accuracy of ship load modeling has also been improved to some extent,which verifies the advantages of the ship load modeling method in this paper.