摘要
为了对水电站船舶巷道航行危险度进行准确评价,设计了基于灰色关联分析和层次分析的水电站船舶巷道航行危险度评价算法。首先采集水电站船舶巷道航行危险度评价数据,然后采用灰色关联分析法对数据之间的关系进行分析,并通过层次分析法确定各评判指标的权重,通过加权得到水电站船舶巷道航行危险度评价结果,水电站船舶巷道航行危险度评价仿真测试结果表明,本文方法的水电站船舶巷道航行危险度评价结果十分合理,不仅具有较高的可信度,而且水电站船舶巷道航行危险度评价精度优于其他算法。
In order to accurately evaluate the risk degree of the navigation of the ship's laneway in the hydropower station, an evaluation algorithm is designed based on the grey correlation analysis and the analytic hierarchy process for the risk degree of the navigation of the ship's laneway in the hydropower station. First, it adopts the data of the risk analysis of the navigation of the ship's laneway in the hydropower station, then analyzes the relationship between the data by the grey correlation analysis, and determines the weight of each evaluation index by the analytic hierarchy process, and gets the risk evaluation result of the navigation of the laneway of the hydropower station by weighting, and the danger of the navigation of the laneway of the hydropower station. The results of the evaluation of the degree evaluation show that the evaluation result of the risk degree of the navigation of the laneway in the hydropower station is very reasonable and has a high reliability, and the evaluation accuracy of the navigation risk of the laneway in the hydropower station is better than that of the other algorithms.
出处
《舰船科学技术》
北大核心
2018年第8X期40-42,共3页
Ship Science and Technology
关键词
水电站
船舶巷道
航行危险度
评价算法
hydropower station
ship laneway
navigation risk degree
evaluation algorithm