基于视觉感知与V-detector的水质异常检测方法  

Anomaly Detection of Water Quality Based on Visual Perception and V-detector

作　　者：金章赞[1] 肖刚[1] 陈久军[1] 高飞[1] 

机构地区：[1]浙江工业大学计算机科学与技术学院,浙江杭州310023

出　　处：《信息与控制》2011年第1期130-136,共7页Information and Control

摘　　要：为了快速准确地对水质进行评价分析,提出了一种新的水质异常检测方法.该方法将视觉感知技术与人工免疫系统中的否定选择原理相结合.首先采用视觉驱动的生物监测技术对水质指标进行采集,然后利用基于否定选择原理的可变V-detector算法对水质指标进行评价分析.由于视觉感知技术具有敏感性、综合性以及人工免疫系统具有自组织、自学习、自识别等特点,故该方法能够快速准确地对水质进行实时检测评价.实验结果表明该方法是一种实用的水质检测评价方法.In order to analyze the water quality rapidly and accurately,a new method of water quality anomaly detection is proposed.The method combines technique of visual perception with negative selection（NS） theory in artificial immune system.First,biological monitoring technique driven by vision is used to acquire water quality index.Second,algorithm of variable V-detector of NS theory is used to evaluate the water-quality index.Due to the sensition and comprehension of visual perception and self-organization,self-learning,self-identification of artificial immune system,the method can detect water quality rapidly and accurately.The experimental result shows that this method is an effective water quality assessment method.

关 键 词：水质异常检测 视觉感知 否定选择 V-detector 

分 类 号：TV213.4[水利工程—水文学及水资源]