首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于优化模型及多重数据处理的舰船污损监测法
引用本文:张子龙,朱晓军,闵少松.基于优化模型及多重数据处理的舰船污损监测法[J].中国修船,2014(2):55-58.
作者姓名:张子龙  朱晓军  闵少松
作者单位:海军工程大学,湖北武汉430033
摘    要:针对目前舰船污损监测受环境和航行状态限制而无法实现连续监测的问题,提出了一种基于优化模型并对数据进行多重处理的舰船污损监测法。首先对轴功率与航速关系监测模型进行优化,将现有一维模型提高到更大航速区间内成立的二维模型。然后采集相关数据,根据其采集条件进行数据筛选及数据修正的多重处理,提高监测的连续性。其次建立污损阀值,与计算结果对比分析得到监测结论。最后将实船应用的监测结论与船体污损情况对比,验证了该方法的可行性和有效性。

关 键 词:舰船污损监测  优化模型  多重数据处理

Fouling monitoring based on an optimal model and data multiprocessing
Abstract:Aiming at the problem that fouling monitoring is non - continuous because of the limit of environ- ment and status of sailing, this paper presented a method of fouling monitoring based on an optimal model and data muhiprocessing. First optimized the model of relationship between shaft power and ship speed, improved the one dimensional model into a two dimensional model which established in a wide speed range. Then screened out the suitable data and corrected these data to improve the continuity of fouling monitoring. Established a fouling standard which compared with the results of monitoring. At last, a contrastive analysis is done between the conclusion of fouling monitoring and fouling situation on real ship, proving the practicability and the effectiveness.
Keywords:ship fouling monitoring  optimal model  data muhiproeessing
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号