Water quality monitoring using a smart sensing system
Water quality monitoring using a smart sensing system
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DOI：
10.1016/s0263-2241(00)00015-4
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发表时间：
2000-10-01
期刊：
影响因子：
5.6
通讯作者：
Martin-Bouyer, M
中科院分区：
文献类型：
--
作者：
Charef, A;Ghauch, A;Martin-Bouyer, M
介绍了一种用于水质监测的新型智能传感器。这种智能传感系统利用光谱技术与物理化学变量的测量相结合，来估计水样中的全球污染参数，特别是化学需氧量(COD)。这种估计是通过人工神经网络算法使用多传感器融合方法来计算的。该传感器已在法国皮埃尔贝尼特市71个废水样品上进行了测试，结果表明，用常规方法测得的COD值与估计值吻合较好。(C)2000爱思唯尔科学有限公司。保留所有权利。
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.