基于灰色理论的发射筒油雾浓度预测方法  

Oil Mist Concentration Forecasting of Launcher Based on Grey Theory

作　　者：王春健[1] 马亮[1] 吴刚[1] 黄海[2] 

机构地区：[1]海军潜艇学院导弹兵器系,山东青岛266071 [2]海军潜艇学院训练部,山东青岛266071

出　　处：《探测与控制学报》2011年第2期15-18,共4页Journal of Detection & Control

摘　　要：针对目前油雾检测中存在滞后性和潜艇发射筒空气净化定时进行的现状,结合装备的具体情况提出基于灰色理论的油雾浓度预测方法,该方法通过对发射筒内空气进行采样,得到原始数据,并利用灰色预测模型对浓度变化进行预测,在达到阈值之前开启空气净化装置,而不是等达到阈值时或是定时开启,达到净化空气的目的。实践表明:该监测方法基于的模型具有较高的拟合精度,是有效可行的,在目前装备上具有实用性,为发射筒内气体环境的预测分析提供了一种有效方法。According to the status of the hysteretie nature of oil mist concentration monitoring of submarine launcher,and the air cleaning has to be done frequently, a forecasting method based on gray theory was designed to carry on the sampling of the air inside the launcher and get the original data. The method could forecast the variety of oil mist concentration with grey model, it opened the air decontamination device before attaining to limited value. It was proved by experiments that the monitor device based on grey theory was effective, convenient, and had a higher fitting precision.

关 键 词：灰色理论 潜射发射筒 油雾浓度 灰色预测模型 

分 类 号：TP23[自动化与计算机技术—检测技术与自动化装置]