航迹点搁浅风险数据关联规则挖掘方法研究

Research on mining method of association rules for risk data of track point grounding

随着海上航线的不断增多与海洋水文环境的不断变化,许多航迹点已存在搁浅风险不适合船舶航行。因此需要通过数据挖掘的方法对风险航迹点进行运算分析,但是传统的数据挖掘方法无法对无关联的航迹点进行风险的数据关联,由此导致数据挖掘数据结果的准确率下降,数据挖掘面有效数据计算量降低。对此提出航迹点搁浅风险数据关联规则挖掘方法研究。通过对航迹点风险数据的假设建模与风险数据的模糊计算,得到风险数据的关联规则,再通过对风险数据关联规则的分类挖掘计算与加权挖掘数据分析,最终得到准确的航迹点搁浅风险数据关联规则的数据结果。最后,通过引入海上实例数据对提出的方法进行仿真测试,证明设计的可行性。

With the increasing number of maritime routes and the continuous change of marine hydrological environment,many track points already have the risk of grounding which is not suitable for ship navigation.Therefore,it is necessary to analyze the risk trace points by data mining method,but the traditional data mining methods can not associate the risk data of unrelated track points,which leads to the decrease of the accuracy of data mining data results and the reduction of the amount of computation of effective data on data mining surface.In this paper,the mining method of association rules for risk data of trace point grounding is put forward.Through the hypothetical modeling of track point risk data and the fuzzy calculation of risk data,the association rules of risk data are obtained.Through the classification mining calculation and weighted mining data analysis of risk data association rules,the accurate data results of risk data association rules at track point grounding risk data are obtained.Finally,the feasibility of the design is proved by introducing the offshore example data to simulate and test the proposed method..