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基于物联网和光电子技术的环境自动检测仪器和系统
引用本文:唐小燕 李霞 王晓萍 项光宏 顾海涛. 基于物联网和光电子技术的环境自动检测仪器和系统[J]. 大气与环境光学学报, 2017, 12(1): 50-57
作者姓名:唐小燕 李霞 王晓萍 项光宏 顾海涛
作者单位:(1 杭州聚光环保科技有限公司, 浙江 杭州, 310052; 2 浙江大学光电科学与工程学院, 浙江 杭州, 310027)
基金项目:Supported by National High-Technology Research and Development Program of China (国家863计划, 2014AA06A504)
摘    要:为满足环境监测预警体系建设的需求,系统集成嵌入式技术、全光谱检测技术、电子舌检测技术,研制了基于物联网和光电子技术的环境自动检测系统,实现对pH、电导率、氨氮、浊度、色度、COD的在线检测。经实验验证系统性能良好,pH、电导率、氨氮、浊度和COD的测量精度分别为-0.02, 0.4%, 2.9%, 2.1%, 1.1%; 电导率、浊度、COD的测量检出限分别为0.7 μS/cm, 0.9NTU, 0.5 mg/L。实际水样比对测试符合要求,可满足水质在线快速监测的需求。

关 键 词:物联网  光电子  环境自动检测  水质  
收稿时间:2016-07-31

Environmental Automatic Testing Instruments and System Based on the Internet of Things and Optoelectronic Technology
TANG Xiao-Yan,LI Xia,WANG Xiao-Ping,XIANG Guang-Hong,GU Hai-Chao. Environmental Automatic Testing Instruments and System Based on the Internet of Things and Optoelectronic Technology[J]. Journal of Atmospheric and Environmental Optics, 2017, 12(1): 50-57
Authors:TANG Xiao-Yan  LI Xia  WANG Xiao-Ping  XIANG Guang-Hong  GU Hai-Chao
Affiliation:(1 Hangzhou Focused Photonics Environmental Protection Technology Inc., Hangzhou 310052, China; 2.College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China)
Abstract:To meet the construction requirements of environmental monitoring and early-warning system, the environmental automatic testing system which based on the internet of things and optoelectronic technology was designed. Combined embedded technology, full-spectrum detection technology and e-tongue inspection technology, the online testing on a number of water quality parameters, such as pH, conductivity, ammonia nitrogen, turbidity, chroma and COD, et al. could be implemented successfully. This system could evaluate the change of water quality. According to the performance of the system verified by series experiments, the accuracies of pH, conductivity, ammonia nitrogen, turbidity and COD measurement were -0.02, 0.4%, 2.9%, 2.1%, 1.1%, respectively. The detection limits of conductivity, turbidity and COD measurement were 0.7 μS/cm, 0.9 NTU and 0.5 mg/L, respectively. The results of the actual water samples for comparison between the system and standard methods were acceptable. The consequence could satisfy the demand of on-line water quality monitoring.
Keywords:internet of things  photoelectron  environmental automatic detection  water quality  
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