摘要
以保障测量船安全为目的,设计基于大数据挖掘的测量船安全综合评估系统。测量船安全综合数据采集与录入单元利用数据采集模块采集测量船设备基础数据与人员信息数据等,数据录入模块将所采集数据存储至测量船安全综合数据库内。测量船安全综合数据处理单元通过清洗、补全等方式预处理数据后,采用大数据挖掘技术中的R型系统聚类法获取测量船安全综合评估过程中的典型评估指标,构建测量船安全综合评估指标体系。以此为基础,采用基于模糊层次的测量船安全综合评估模型,获取当前测量船的安全评估结果,通过测量船安全综合评估结果显示单元呈现给用户。实验结果显示该系统评估结果具有较好的可靠性,能够保障测量船的安全。
In order to ensure the safety of survey ships, a survey ship safety comprehensive evaluation system based on big data mining is designed. The safety integrated data acquisition and entry unit of the measuring ship uses the data acquisition module to collect the basic data of the measuring ship equipment and personnel information data, and the data entry module stores the collected data into the safety integrated database of the measuring ship. After preprocessing the data by cleaning and complementing, the comprehensive safety data processing unit of measuring ship adopts the R-type system clustering method in big data mining technology to obtain the typical evaluation indicators in the process of comprehensive safety evaluation of measuring ship, and constructs the comprehensive safety evaluation index system of measuring ship. On this basis, the comprehensive safety evaluation unit of the measuring ship adopts the comprehensive safety evaluation model of the measuring ship based on fuzzy hierarchy, obtains the safety evaluation results of the current measuring ship, and presents them to the user through the comprehensive safety evaluation result display unit of the measuring ship. The experimental results show that the evaluation results of the system have good reliability and can ensure the safety of the measuring ship.
作者
杨少杰
YANG Shao-jie(Haojing College of Shaanxi University of Science and Technology,Xi'an 712046,China)
出处
《舰船科学技术》
北大核心
2022年第16期167-170,共4页
Ship Science and Technology
关键词
大数据挖掘
测量船
安全评估
数据采集
评估指标
模糊层次
big data mining
surveying vessel
safety assessment
data collection
evaluation indicators
fuzzy hierarchy
