.png){kind=icon}
返回
Optical Oxygen Sensing with Artificial Intelligence
.png){kind=icon}
OA
AI
DOI：10.3390/s19040777.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Luminescence-based sensors for measuring oxygen concentration are widely used in both industry and research due to the practical advantages and sensitivity of this type of sensing. The measuring principle is the luminescence quenching by oxygen molecules, which results in a change of the luminescence decay time and intensity. In the classical approach, this change is related to an oxygen concentration using the Stern-Volmer equation. This equation, which in most cases is non-linear, is parameterized through device-specific constants. Therefore, to determine these parameters, every sensor needs to be precisely calibrated at one or more known concentrations. This study explored an entirely new artificial intelligence approach and demonstrated the feasibility of oxygen sensing through machine learning. The specifically developed neural network learns very efficiently to relate the input quantities to the oxygen concentration. The results show a mean deviation of the predicted from the measured concentration of 0.5% air, comparable to many commercial and low-cost sensors. Since the network was trained using synthetically generated data, the accuracy of the model predictions is limited by the ability of the generated data to describe the measured data, opening up future possibilities for significant improvement by using a large number of experimental measurements for training. The approach described in this work demonstrates the applicability of artificial intelligence to sensing technology and paves the road for the next generation of sensors.
Keyword:
artificial intelligence
neural network
machine learning
oxygen sensor
luminescence
optical sensor
luminescence quenching
phase fluorimetry
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
7.2W
被引数:
20.9W
机构
引用论文
分享收藏分享收藏Addressing multiple indicators on a single optical fiber - Digital signal processing approaches for temperature compensated oxygen sensing.png)
IEEE SENSORS JOURNALOAAI
IEEE SENSORS JOURNALIF4.5
OAAI分享收藏Effects of polymer matrices on calibration functions of luminescent oxygen sensors based on porphyrin ketone complexesANALYTICAL CHEMISTRY
ANALYTICAL CHEMISTRYIF6.7
PREAI
分享收藏Luminescent sensing and imaging of oxygen: Fierce competition to the Clark electrodeBIOESSAYSOAAI
BIOESSAYSIF2.7
OAAI分享收藏分享收藏
查看更多内容