Development of active odor sensing system with odor blender

开发带有气味混合器的主动气味传感系统

• 批准号: 04555093
• 负责人: MORIIZUMI Toyosaka
• 金额: $ 9.09万
• 依托单位: Tokyo Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Developmental Scientific Research (B)
• 财政年份: 1992
• 资助国家: 日本
• 起止时间: 1992 至 1994
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-04555093/
• 关键词: Active sensing; Pattern matching; Sensor array; Quartz-resonator gas sensor; Semiconductor gas sensor; Nonlinear optimization algorithm; Simplex method; Gradient descent method; 電気化学ガスセンサ

Active odor sensing system for quantifying mixed aromas was developed. In the system, plural known vapors are actively and autonomously blended so that the output pattern from a sensor array can be made equal to that of an unknown vapor. The mixture composition of aromas can be obtained from the blended ratio in the system. The modification of that ratio is iteratively performed using a nonlinear optimization algorithm.Using this system, gasoline concentration was successfully measured in spite of the existence of interference vapors. Then, the optimization algorithm such as gradient descent method was improved and its accuracy and the stability was enhanced.Finally, the application to fragrances was studied. The identification of various essential oils, the separation among optical isomers were successfully performed. Moreover, the experiments on quantifying the mixture composition of several fundamental compounds in fragrances were performed.

开发了一种用于混合香气定量的主动式气味传感系统。在该系统中，多个已知蒸汽被主动地和自主地混合，使得来自传感器阵列的输出图案可以与未知蒸汽的输出图案相等。由系统中的混合比例可以得到香气的混合组成。利用该系统，在存在干扰气体的情况下，成功地测量了汽油浓度。然后对梯度下降法等优化算法进行了改进，提高了算法的精度和稳定性。成功地鉴定了各种挥发油，分离了光学异构体。此外，还对香精中几种基本成分的混合组成进行了定量实验。

项目成果

J.Ide, T.Nakamoto and T.Moriizumi: "Development of odor sensing system using anto-sampling stage" Sensors and Actuators. B13-14. 351-354 (1993)

J.Ide、T.Nakamoto 和 T.Moriizumi：“使用采样阶段开发气味传感系统”传感器和执行器。

S.Utsumi,N.Yamashita,T.Nakamoto,T.Moriizumi,and Y.Sonoda: "Active gas Sensing system using automatically controlled gas blender and numerical optimization technigue" Technical Digest of Transducer's 93.

S.Utsumi、N.Yamashita、T.Nakamoto、T.Moriizumi 和 Y.Sonoda：“使用自动控制气体混合器和数值优化技术的主动气体传感系统”Transducers 93 的技术文摘。

T. Moriizumi, T. Nakamoto and Y. Sakuraba: "Pattern recognition in electronic noses by artificial neural network models" Kluwer academic publishers, 217-236 (1992)

T. Moriizumi、T. Nakamoto 和 Y. Sakuraba：“人工神经网络模型在电子鼻中的模式识别”Kluwer 学术出版社，217-236 (1992)

S.Utsumi, N.Yamashita, T.Nakamoto and Y.Sonoda: "Active gas sensing system using automatically controlled gas blender and numerical opimization technique" Tech.Digest of Transducers'93. D14-2. (1993)

S.Utsumi、N.Yamashita、T.Nakamoto 和 Y.Sonoda：“使用自动控制气体混合器和数值优化技术的主动气体传感系统”Tech.Digest of Transducers93。

内海,山下,中本,森泉,園田: "電気化学ガスセンサと半導体ガスセンサを用いた能動型センシングシステム" 応用物理学会講演予稿集(秋季). 17 D2 (1992)

Utsumi、Yamashita、Nakamoto、Izumi Mori、Sonoda：“使用电化学气体传感器和半导体气体传感器的主动传感系统”日本应用物理学会论文集（秋季）17 D2（1992 年）。