潮流场作用下的航标漂移计算方法研究

针对目前航标遥控遥测系统中误报警过多的问题,对当前航标漂移计算方法做出优化。首先采集了航标遥测数据并通过拉依达数学准则对采集数据进行预处理;结合Kmeans算法和ISODATA算法,对预处理数据进行聚类,对比分析计算出的聚类中心,选取精确度更高的聚类中心作为计算航标漂移量的基准点并计算航标漂移距离;采用Person相关性分析方法和回归分析方法,构建潮流场作用下的航标漂移模型。结合航标和潮流场实际数据进行回归分析,确定模型参数,计算均方根误差,对模型进行验证。结果表明,该模型能较好地反映潮流场作用下的航标漂移运动,能有效减少航标漂移误报警,提高航标的管理效率和智能化水平。

On the early warning method of the navigation buoy drift under the tidal current field

Aiming at solving the problem of too much false alarm of the buoy drift in the remote control telemetry system,the author of this paper is to build up a new calculation method. And,to achieve the purpose,first of all,we have collected enough data of the area from the buoy management system on account of the effect of the tidal current on the drift of buoy so as to optimize the current buoy drift calculation method. And,later,we have managed to process these coordinate data of navigation buoy via the Pau Ta criteria through the K-means algorithm and the Iterative Self-Organizing Data Analysis Technique(ISODATA) to cluster the pre-processed data. By taking the advantage of the results we have gained through 2 comparisons,with the first of the said 2 cluster centers compared with each other,so as to compare the second one with the current buoy drop center. And,next,we have taken the more precision result as the reference point to work out the drift distance. And finally,the buoy under the tidal current can be made to drift intuitively,which can help to prove that it has been affected by the flowing direction of the tidal current. And,then,We used the relevance between the velocity of the tidal current and the distance of the drifting buoy can be calculated and worked out via the respective correlation analysis method and the regression analysis method under the action of tidal current field by the linear and quadratic fit. And,then,the model parameters and the Root Mean Square Error(RMSE) can be worked out to verify this model and determined by joining the actual data of the buoy drift and the tidal current. Thus,the results we have gained can help to determine that it can better reflect the influence of the change of the tidal current field in the drift of the buoy. Thus,comparing it with the result derived from the original data,this model we have gained can effectively reduce the false alarming given by the drift of the buoy and in turn heighten the efficiency and the intelligence level of the buoy management.