WO3丙酮传感器及其多传感器融合技术的研究

高浓度丙酮会刺激黏膜和引起中毒，在医疗健康领域丙酮也可作为呼出气体标记物。为实现对丙酮气体的有效检测，利用WO₃纳米材料制备旁热式气敏传感器，系统测试该传感器的基本特性，并在此基础上与SnO₂传感器组成双气敏传感器阵列，结合反向传播神经网络方法对丙酮混合气体进行识别。在体积浓度10^-5丙酮气体测试中，WO₃丙酮传感器的响应值达到9.3，响应与恢复时间均为4 s，重复性误差小于10^-8；双气敏传感器阵列对混合气体中丙酮和乙醇的识别误差小于10^-8。结果表明，制备的WO₃传感器响应灵敏度、稳定性、选择性、瞬态响应等特性良好，采用多传感器融合技术可以实现混合气体的有效识别。

The study of WO3 acetone gas sensor and multi-sensor fusion technology

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.