摘要
为快速完成多舱室船体设计信息查询,为舱室船体设计提供决策依据,研究云环境下多舱室船体设计信息快速查询方法。该方法分析多舱室船体设计信息类别,在云环境下,为满足多舱室船体设计信息的动态分配和扩展需求,信息池以Goldenx列式存储引擎为支撑,并采用FCM聚类算法分类多舱室船体设计信息后进行存储;用户端通过信息交换路线连接客户端接口访问信息池,通过多属性决策算法计算信息的效用值,以此快速查询信息池中的多舱室船体设计信息。测试结果显示:该方法能够较好的完成信息聚类,并且依据输入的检索向量,快速完成所需信息的检索,查询覆盖率均在0.92以上,满足多舱室船体设计信息快速查询需求。
In order to quickly complete the query of multi cabin ship design information and provide decision-making basis for cabin ship design,a fast query method for multi cabin ship design information in cloud environment is studied.This method analyzes the categories of multi cabin ship design information.In the cloud environment,to meet the dynamic alloca-tion and expansion needs of multi cabin ship design information,the information pool is supported by the Goldenx column storage engine and FCM clustering algorithm is used to classify and store the multi cabin ship design information;The user side connects to the client interface through an information exchange route to access the information pool,and calculates the utility value of the information through a multi-attribute decision-making algorithm to quickly query the multi cabin ship design information in the information pool.The test results show that this method can effectively cluster information and quickly retrieve the required information based on the input retrieval vector.The query coverage is above 0.92,meeting the fast query requirements for multi cabin ship design information.
作者
李洲君
李月
LI Zhoujun;LI Yue(Huaxia Institute of Technology,Wuhan 430023,China;Wuhan Institute of Technology,Wuhan 430205,China)
出处
《舰船科学技术》
北大核心
2024年第21期178-181,共4页
Ship Science and Technology
关键词
云环境
多舱室
船体设计
信息快速查询
多属性决策
存储引擎
cloud environment
multiple compartments
ship design
quick information retrieval
multi-attribute decision-making
storage engine
作者简介
李洲君(1984-),女,硕士,讲师,研究方向为视觉传达设计及多媒体设计。
