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科技导报 | 专题:学科融合与设计创新 2023,41(8): 26-35
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科技导报 | 专题:学科融合与设计创新 2023, 41(8): 26-35
人工嗅觉技术研发进展
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路奇1,2,杨佳伟1,2,张煜1,徐迎庆1,2*
作者信息
    1. 清华大学美术学院,北京 100084
    2. 清华大学未来实验室,北京 100084

通讯作者:

徐迎庆(通信作者),教授,研究方向为人机交互、计算机图形学、文化遗产数字化等,电子信箱:yqxu@tsinghua.edu.cn
Development and prospect of artificial olfaction technology
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出版时间: 2023-04-28 doi: 10.3981/j.issn.1000-7857.2023.08.003
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介绍了人工嗅觉感知技术的概念,梳理了仿生类和化学分析类的人工嗅觉技术发展脉络;以清华大学未来实验室嗅觉计算组在人工嗅觉与嗅觉计算方面的研究工作为案例,阐述了该领域从人工嗅觉技术到嗅觉计算技术的发展趋势。分析了当前面临的技术挑战和可能的解决路径,展望了嗅觉计算在智能家居、智慧农业、医疗健康等行业的落地应用。
 人工嗅觉  /  嗅觉计算  /  气味采集  /  气味识别
As a kind of chemical information, odor is ubiquitous in life. Therefore, the research of artificial olfaction technology has far-reaching strategic significance and wide application scope. This paper firstly introduces the concept and definition of artificial olfactory perception technology, and compares the development of artificial olfactory technology of bionic type and chemical analysis type with related researches; meanwhile, the research work of Olfactory Computing Group in artificial olfaction and olfactory computing is used as a case study to further elaborate the development trend from artificial olfactory technology to olfactory computing technology in this field. In addition, this paper illustrates the current technical challenges and possible solution paths of olfactory computing research, as well as the prospect of landing applications of olfactory computing in smart home, smart agriculture, medical health and other industries. The huge potential value of odor information in real environment has not been fully explored, so the research of artificial olfaction technology for different application scenarios may become an important research topic in the future.
 artificial olfaction  /  olfactory computing  /  odor collection  /  odor recognition
路奇,杨佳伟,张煜,徐迎庆. 人工嗅觉技术研发进展. 科技导报, 2023 , 41 (8) : 26 -35 . DOI: 10.3981/j.issn.1000-7857.2023.08.003
LU Qi, YANG Jiawei, ZHANG Yu, XU Yingqing. Development and prospect of artificial olfaction technology[J]. Science & Technology Review, 2023 , 41 (8) : 26 -35 . DOI: 10.3981/j.issn.1000-7857.2023.08.003
2023年第41卷第8期
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doi: 10.3981/j.issn.1000-7857.2023.08.003
  • 接收时间:2021-11-27
  • 首发时间:2023-05-22
  • 出版时间:2023-04-28
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  • 收稿日期:2021-11-27
  • 修回日期:2022-08-07
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徐迎庆(通信作者),教授,研究方向为人机交互、计算机图形学、文化遗产数字化等,电子信箱:yqxu@tsinghua.edu.cn
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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