摘要
随着海洋运输业的发展,运输船舶的电子系统种类越来越多,其中很多电子设备是保障海上安全的必要设备。同时,船舶运行的海洋环境异常复杂,船舶电子设备常年受到海风海浪清浊,会出现设备电路损害等情况,如何能够在船舶航行中预测并发现携带的备件损耗是保障船舶航行安全的必要条件。本文研究大量的海上船舶备件损耗历史数据,并设计数据库管理系统,通过数据挖掘对海量的数据进行有效分析,优化船舶备件管理系统。
With the development of ocean shipping industry,more and more kinds of electronic systems are used in the ships,many of them are necessary to ensure the safety of the sea. At the same time,the marine environment of the operation of the ship is extremely complex,the electronic systems often damaged by the voicing of sea breeze and ocean waves. How to predict and find the loss of the carrying spare parts is a necessary condition to ensure the safety of the ship' s market. This paper study the large number of historical data of ship spare parts loss,design the database management system,analyze the massive data based on data mining algorithm,optimize the ship spare parts management system.
出处
《舰船科学技术》
北大核心
2016年第8X期157-159,共3页
Ship Science and Technology
关键词
数据挖掘
粗糙理论
决策模型
data mining
rough theory
decision-making model
