A New Method of COD Testing with BP Neural Network

摘要：

A new optical method of testing the chemical oxygen demand (COD) of wastewater with multi-wavelength at UV band is reported. The normal UV254 is based on the UV light absorption by wastewater at 254nm according to the Beer-Lambert law. But not all of the wastewater has obviously absorption at 254nm. The new method use back-propagation artificial neural network (BP network) to determine COD of the samples. After the BP network is training by a series wastewaters samples which have similar ingredient but different COD, the samples absorbance at UV band(between 240~ 400nm) is analyzed, and the specific wavelength which is associative with samples COD is picked out. These wavelength can be used to calculated the COD value, and the result is close to standard chemical method. Comparing with UV254, the new method is more stability and precise, and better adaptability to varied wastewater.

关键词： chemical oxygen demand(COD) UV back-propagation Artificial Neural Networks(ANNs)

作者: Yanghua Lv Zhen Xiang Ke Chen Leji Shao

作者单位: The State Key Laboratory of Modern Optical Instrumentation Zhejiang University Hangzhou ,P.R. China Research and Development department Veelang Co.,Ltd. Hangzhou, P.R. China

会议类型: 国际会议

会议名称: 2011 International Conference on Electronics and Optoelectronics(2011电子学与光电子学国际会议 ICEOE 2011)

会议地点: 大连

会议语种:英文

页码: 1188-1191

在线出版日期: 2011-07-29（万方平台首次上网日期，不代表论文的发表时间）