Water quality monitoring using a smart sensing system

被引：71

作者：

Charef, A ^{[1
]}

Ghauch, A

Baussand, P

Martin-Bouyer, M

机构：

[1] Univ Savoie, ESIGEC, Lab Chim & Ingn Environm, F-73376 Le Bourget du Lac, France

[2] Univ Grenoble 1, Grp Rech Environm & Chim Atmospher, F-38000 Grenoble, France

来源：

MEASUREMENT | 2000年 / 28卷 / 03期

关键词：

smart sensor; water quality; monitoring; sensor fusion; spectroscopic techniques; neural networks;

D O I：

10.1016/S0263-2241(00)00015-4

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents an innovative smart sensor used for water quality monitoring. This smart sensing system utilizes spectroscopic techniques combined with the measurement of physico-chemical variables, to estimate global pollution parameters in water samples, particularly the Chemical Oxygen Demand (COD). This estimation is computed using a multisensor fusion approach, by means of an artificial neural network algorithm. The smart sensor has been tested successfully over a set of 71 wastewater samples of the city Pierre Benite (France) and it was shown that the estimated values of COD were in good agreement with the observed COD values, which were measured with a conventional method. (C) 2000 Elsevier Science Ltd. All rights reserved.

引用

页码：219 / 224

页数：6

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