期刊文献+

基于多波长光谱传感器的水质检测系统 被引量:4

Water quality detection system based on multi-wavelength spectral sensors
下载PDF
导出
摘要 为了简化光学仪器设计,提高测量精度,提出了一种应用多波长传感器检测水中污染物的方法,设计了基于可见光多波长光谱传感器仪器装置,该测量装置使用色温5700 K LED作为光源,利用多波长光谱传感器采集溶液光强度并通过USB端口传输到计算机进行数据处理。分别构建了单元和多元回归模型探究物质浓度与吸光度的关系,并用于水中氨氮、硫化物、溶解氧、亚硝氮和铁浓度的测量,将测量结果与传统可见分光光度计测定结果通过独立样本t检验(P>0.05),证明该方法与标准检测方法无显著差异,可应用于水中其他物质含量的检测。 In order to simplify the design of optical instruments and improve the measurement accuracy,a method for applying a multi-wavelength sensor to detect contaminants in water is proposed.A measurement device based on visible light multi-wavelength spectral sensor was designed.The measurement device used color temperature 5700 K LED as the light source,and the multi-wavelength spectral sensor was used to collect the solution light intensity and transfer it to a computer for data processing via USB port.The unitary and multiple regression models were constructed to investigate the relationship between substance concentration and absorbance,respectively,and used for the measurement of ammonia nitrogen,sulfide,dissolved oxygen,nitrite nitrogen and iron concentration in water.The results are compared with those of conventional visible spectrophotometer by independent sample t-test(P>0.05),which proves that the method was not significantly different from the standard detection method and can be applied to the determination of other substances in water.
作者 许文艳 盛涛 刘升 郜洪文 Xu Wenyan;Sheng Tao;Liu Sheng;Gao Hongwen(School of Physics and Electronic Information,Huaibei Normal University,Huaibei 235000,China;College of Environmental Science and Engineering,Tongji University,Shanghai 200092,China)
出处 《国外电子测量技术》 北大核心 2022年第6期112-116,共5页 Foreign Electronic Measurement Technology
基金 国家自然科学技术基金(71801108) 安徽高校自然科学研究重点项目(KJ2014A225)资助。
关键词 分析方法 水质检测 多光谱传感器 多元回归 吸光度 analytical methods water quality detection multispectral sensor multiple regression absorbance
  • 相关文献

参考文献6

二级参考文献69

共引文献20

同被引文献44

引证文献4

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部