摘要
为了更好地保障船舶航行安全评估系统运行的精准和稳定性,提出了基于大数据分析的舰船航行安全性评估系统方案。通过优化CAN总线及系统电路,保障系统运行的稳定效果,同时结合神经网络原理对系统安全评估软件运行流程进行改善,最终实现对舰船航行安全性评估系统的合理设计。最后通过实验证实,大数据分析的舰船航行安全性评估系统有较高的稳定性和准确性。
In order to better ensure the accuracy and stability of ship navigation safety assessment system,a ship navigation safety assessment system based on big data analysis is proposed.Through optimizing CAN bus and system circuit,the stable effect of the system operation is guaranteed.At the same time,combined with the principle of neural network,the operation process of the system safety assessment software is improved,and finally the reasonable design of the ship navigation safety assessment system is realized.Finally,the experiment proves that the ship navigation safety evaluation system based on big data analysis has higher stability and accuracy.
作者
李明生
LI Ming-sheng(Shandong Polytechnic,Jinan 250104,China)
出处
《舰船科学技术》
北大核心
2019年第20期31-33,共3页
Ship Science and Technology
关键词
大数据
舰船航行安全
安全性评估
big data
ship navigation safety
safety assessment