基于物联网和光电子技术的环境自动检测仪器和系统

大气与环境光学学报 ›› 2017, Vol. 12 ›› Issue (1): 50-57.

• “先进环境监测技术与设备”专辑 • 上一篇下一篇

基于物联网和光电子技术的环境自动检测仪器和系统

唐小燕1, 李霞1, 王晓萍2, 项光宏1, 顾海涛1

（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）

收稿日期:2016-07-31 出版日期:2017-01-28 发布日期:2017-01-13
通讯作者: 唐小燕（1982-），女，浙江人, 硕士, 工程师，主要从事环境水质在线监测技术、仪器及应用方面的研究。 E-mail:xiaoyan_tang@fpi-inc.com
作者简介:唐小燕（1982-），女，浙江人, 硕士, 工程师，主要从事环境水质在线监测技术、仪器及应用方面的研究。
基金资助:
Supported by National High-Technology Research and Development Program of China (国家863计划, 2014AA06A504)

Environmental Automatic Testing Instruments and System Based on the Internet of Things and Optoelectronic Technology

TANG Xiaoyan1, LI Xia1, WANG Xiaoping2, XIANG Guanghong1, GU Haitao1

(1 Hangzhou Focused Photonics Environmental Protection Technology Inc., Hangzhou 310052, China;
2 College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China)

Received:2016-07-31 Published:2017-01-28 Online:2017-01-13

摘要/Abstract

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

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.

Key words: internet of things, photoelectron, environmental automatic detection, water quality

中图分类号:

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.

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.

参考文献

[1] Jia Yigang. Study of application of IOT in environment monitoring and early warning [J]. Shanghai Construction Science & Technology, 2010, (6): 65-67(in Chinese).
贾益刚. 物联网技术在环境监测和预警中的应用研究 [J]. 上海建设科技, 2010, (6): 65-67.
[2] Wang Fei. A brief analysis of the application of modern instrument analytical techniques in environmental monitoring [J]. Science & Technology Information, 2015, 13(21): 81-85(in Chinese).
王飞. 浅析现代仪器分析技术在环境监测中的应用 [J]. 科技资讯, 2015, 13(21): 81-85.
[3] Li Guoliang, Su Hui, Yao Zhixiang, et al. Improvement on COD determination of Chinese Environmental Standard based on PLS [J]. Environmental Science & Technology, 2010, 33(1): 132-134(in Chinese).
黎国梁,粟晖,姚志湘,等. 环境行业标准方法测定COD的PLS改进 [J]. 环境科学与技术, 2010, 33(1): 132-134.
[4] Wang Zhuo. Handled color recognition based on RGB 3-element color [J]. Journal of Tianjin University of Science & Technology, 2006, 21(1): 54-57(in Chinese).
王卓, 杨学友, 李恭. 基于RGB三基色原理的手持式颜色检测仪的设计 [J]. 天津科技大学学报, 2006, 21(1): 54-57.
[5] Zhang Xiabin, Wang Xiaoping, Tian Shiyi, et al. Novel voltammetry multi-frequency pulse electronic tongue and its application [J]. Journal of Zhejiang University: Engineering Science, 2008, 42(10): 1706-1709(in Chinese).
张夏宾, 王晓萍, 田师一, 等. 新型伏安型多频脉冲电子舌及其应用 [J]. 浙江大学学报: 工学版, 2008, 42(10): 1706-1709.
[6] Ye Ying, Wu Daidai, Huang Xia, et al. Preparation and performance characterization of novel solid pH sensing electrodes [J]. Chinese Journal of Sensors and Actuators, 2003, 16(4): 487-490(in Chinese).
叶瑛, 邬黛黛，黄霞, 等, 固态pH探测电极的制备及其性能表征 [J]. 传感技术学报, 2003, 16(4): 487-490.
[7] Li Jianguo. The development and experiment of open-cell four- electrode conductivity probe [J]. Ocean Technology, 2005, 24(3): 5-9(in Chinese).
李建国. 开放式四电极电导率传感器的研制与实验 [J]. 海洋技术, 2005, 24(3): 5-9.
[8] Liu Bingzao, Wang Lingfa, Wang Qitao, et al. Ion selective electrodes for on-line monitoring of ammonia and nitrate in wastewater [J]. China Water & Wastewater, 2009, 25(10): 106-108(in Chinese).
刘炳灶, 王领法, 王启涛, 等. 离子选择电极在线监测污水中氨氮和硝酸盐氮 [J]. 中国给水排水, 2009, 25(10): 106-108.

基于物联网和光电子技术的环境自动检测仪器和系统

Environmental Automatic Testing Instruments and System Based on the Internet of Things and Optoelectronic Technology

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 2

编辑推荐

Metrics

本文评价

[1]	肖渝, 黄丽雯, 汤斌∗, 肖棋森, 赵明富, 李奉笑. 遗传算法优化小波阈值对水质光谱数据的去噪研究[J]. 大气与环境光学学报, 2021, 16(5): 432-442.
[2]	赵明富, 唐平, 汤斌, 徐杨非, 邓思兴. 主成分分析联合Fisher判别在紫外-可见光谱法水质检测中的应用[J]. 大气与环境光学学报, 2018, 13(6): 436-.