摘要
为了解决由于货舱通风不当造成的货损和船员劳动量增大的问题,提出一种基于模糊算法的船舶智能通风系统。利用布置在货舱内、外的传感器对货舱内、外的的温、湿度进行连续、不间断地监测,通过系统自动查表获取货舱内、外的露点。运用模糊算法对输入量进行模糊化、推理、解模糊以及计算,得出不同情况下船舶货舱的通风策略,实现货舱通风的智能化。运用MATLAB对模糊控制器进行仿真,分析结果,证明基于模糊算法系统的正确性、可行性。
In order to deal witli the increasing cargo damage and labor caused by improper ventilation in intelligent ventilating system on board based on the fuzzy algoritlimic approach is put forward.Utilizing inside and outside the cargo holds,the system is tried to monitor the temperature and humidity obtain the dew point by checking the table provided in the system automatically.The system uses fuzzy to fuzzify,ratiocinate,resolve the fuzzy and calculate the data input,find out the ventilating strategy holds in various conditions and make the ventilation of cargo holds intelligent.Last but not the the fuzzy controller using MATLAB and analyzes the results,intending to certify the validity and practicability of thie system based on the fuzzy algorithimic approach.
作者
陈超
宋健明
CHEN Chao;S0NG Jian-ming(China Rail^vay 18 Bureau Group Tunnel Engineering co.,L T D.Chongqing 400700,China)
出处
《贵阳学院学报（自然科学版）》
2018年第1期61-65,共5页
Journal of Guiyang University：Natural Sciences
关键词
货舱
模糊算法
通风
Cargo holds
Fuzzy algorithmic approach
Ventilating
作者简介
陈超（1984-),男，吉林辉南人,工程师。主要研究方向:TBM及盾构施工。;宋健明（1984-),男，黑龙江哈尔滨人,工程师。主要研究方向:铁路及市政道路、桥梁、隧道施工。
