title: An Intelligent Optical Dissolved Oxygen Measurement Method Based on a Fluorescent Quenching Mechanism.
abstract: Dissolved oxygen (DO) is a key factor that influences the healthy growth of fishes in aquaculture. The DO content changes with the aquatic environment and should therefore be monitored online. However, traditional measurement methods, such as iodometry and other chemical analysis methods, are not suitable for online monitoring. The Clark method is not stable enough for extended periods of monitoring. To solve these problems, this paper proposes an intelligent DO measurement method based on the fluorescence quenching mechanism. The measurement system is composed of fluorescent quenching detection, signal conditioning, intelligent processing, and power supply modules. The optical probe adopts the fluorescent quenching mechanism to detect the DO content and solves the problem, whereas traditional chemical methods are easily influenced by the environment. The optical probe contains a thermistor and dual excitation sources to isolate visible parasitic light and execute a compensation strategy. The intelligent processing module adopts the IEEE 1451.2 standard and realizes intelligent compensation. Experimental results show that the optical measurement method is stable, accurate, and suitable for online DO monitoring in aquaculture applications.
authors.affiliation: College of Information and Electrical Engineering, China Agricultural University, 17 Tsinghua East Road, Beijing 100083, China. lifm@cau.edu.cn.
authors.forename: Fengmei
authors.initials: F
authors.lastname: Li
authors.affiliation: College of Information and Electrical Engineering, China Agricultural University, 17 Tsinghua East Road, Beijing 100083, China. weiyaoguang@gmail.com.
authors.forename: Yaoguang
authors.initials: Y
authors.lastname: Wei
authors.affiliation: College of Information and Electrical Engineering, China Agricultural University, 17 Tsinghua East Road, Beijing 100083, China. chyingyi@126.com.
authors.forename: Yingyi
authors.initials: Y
authors.lastname: Chen
authors.affiliation: College of Information and Electrical Engineering, China Agricultural University, 17 Tsinghua East Road, Beijing 100083, China. dliangl@cau.edu.cn.
authors.forename: Daoliang
authors.initials: D
authors.lastname: Li
authors.affiliation: College of Information and Electrical Engineering, China Agricultural University, 17 Tsinghua East Road, Beijing 100083, China. zhangxu_zx888@sina.com.
authors.forename: Xu
authors.initials: X
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D004867:Equipment Design; D061848:Optical Imaging / Q000379:methods*; D010100:Oxygen / Q000032:analysis*; D011312:Pressure; D015203:Reproducibility of Results; D054712:Salinity; D013050:Spectrometry, Fluorescence / Q000379:methods*
chemical_list: D010100:Oxygen
keywords: dissolved oxygen; fluorescent quenching; intelligent compensation