Vafaei Mostafa, Amini Amir
Department of Electrical Engineering, College of Technical and Engineering, West Tehran Branch, Islamic Azad University, Tehran 1461988631, Iran.
ACS Sens. 2021 Apr 23;6(4):1536-1542. doi: 10.1021/acssensors.0c01863. Epub 2021 Mar 30.
Accuracy of CO measurement is affected by ambient air fluctuations, making the compensation of such variations in drift-like sensor response essential for concentration level assessment. Here, a series of experiments were carried out with a chamberless approach in a nondispersive infrared (NDIR) gas sensor to examine the combined effect of environmental temperature and relative humidity fluctuations on sensor responses at different concentrations of CO. To eliminate the drift-like terms caused by environmental fluctuations, the behavior of the sensor was modeled to include ambient temperature, relative humidity, the measured responses as the inputs, and the concentration level as the output. The sensor was fabricated by a light source with an embedded parabolic reflector, a thermopile detector, and two reflective walls that are exposed to the applicable range of CO gas. The predicted concentration level was determined by analyzing the system and acquiring a heuristic function based on an ensemble regression model. The created model's reliability and sensor's performance were evaluated by the test and validation data, and the respective accuracies of 99.83 and 98.90% demonstrated the model effectiveness. The chamberless structure of the sensor provides reduction in diffusion time, improves the linearity of responses accompanied by eliminating drift-like variation of responses in varying ambient conditions, and prepares the sensor for industrial applications.
一氧化碳(CO)测量的准确性会受到环境空气波动的影响,因此对于浓度水平评估而言,补偿这种类似漂移的传感器响应变化至关重要。在此,采用无腔室方法在非色散红外(NDIR)气体传感器中进行了一系列实验,以研究环境温度和相对湿度波动对不同CO浓度下传感器响应的综合影响。为消除环境波动引起的类似漂移项,对传感器的行为进行建模,将环境温度、相对湿度、测量响应作为输入,浓度水平作为输出。该传感器由一个带有嵌入式抛物面反射器的光源、一个热电堆探测器以及两个暴露于适用CO气体范围内的反射壁构成。通过分析系统并基于集成回归模型获取启发式函数来确定预测的浓度水平。利用测试和验证数据评估所创建模型的可靠性和传感器的性能,分别达到99.83%和98.90%的准确率证明了该模型的有效性。传感器的无腔室结构减少了扩散时间,在消除不同环境条件下类似漂移的响应变化的同时提高了响应的线性度,并为该传感器用于工业应用做好了准备。