有色金属材料与工程2023，Vol.44Issue(6)：71-77,7.DOI:10.13258/j.cnki.nmme.2023.06.008
WO3丙酮传感器及其多传感器融合技术的研究
The study of WO3 acetone gas sensor and multi-sensor fusion technology
摘要
Abstract
High concentrations of acetone can irritate mucous membranes and cause poisoning,and acetone can also be used as a marker of exhaled gas in the medical field.In order to realize effective detection of acetone gas,WO3 nanomaterials were used to prepare a self-heated gas sensor,and the basic characteristics of the sensor were systematically tested.Based on this,a dual gas sensor array composed of WO3 sensor and SnO2 sensor was designed and the back propagation neural network method was combined to identify acetone mixture gas.In the test of 10-5 volume concentration acetone gas,the results indicated that the response value of the WO3 acetone sensor reached 9.3,the response and recovery time are both 4 s,and the repeatability error is less than 10-8,respectively.The identification error of the dual gas sensor array for acetone and ethanol in the mixed gas is less than 10-8.The results show that prepared WO3 sensor has good response sensitivity,stability,selectivity,transient response and so on,indicating that the multi-sensor fusion technology can realize the effective recognition of mixed gas.关键词
丙酮/气敏传感器/传感器阵列/反向传播神经网络Key words
acetone/gas sensor/sensor array/back propagation neural network分类
电子信息工程引用本文复制引用
王建彬,王成,孙艳,葛美英..WO3丙酮传感器及其多传感器融合技术的研究[J].有色金属材料与工程,2023,44(6):71-77,7.基金项目
上海市科技创新资助项目(2021-cyxt1-kj04) （2021-cyxt1-kj04）
