Title:
GAS IDENTIFICATION METHOD, AND GAS IDENTIFICATION SYSTEM
Document Type and Number:
WIPO Patent Application WO/2022/191173
Kind Code:
A1
Abstract:
This gas identification method, which employs a sensor that outputs a signal corresponding to an adsorption concentration of a gas, includes: an acquisition step (step S12) of acquiring the signal output from the sensor which has been exposed to a sample gas during only a second period from within a measuring period comprising a first period, the second period, which follows the first period, and a third period, which follows the second period; an extraction step (step S13) of extracting at least one feature quantity corresponding to drift of the acquired signal; and an identification step (step S14) of employing a trained logical model for identifying sample gases, to identify the sample gas on the basis of the at least one extracted feature quantity, and outputting the identification result.
Inventors:
HAYASHI TAKUYA
MAMIYA YASUHIRO
MAMIYA YASUHIRO
Application Number:
PCT/JP2022/009944
Publication Date:
September 15, 2022
Filing Date:
March 08, 2022
Export Citation:
Assignee:
PANASONIC IP MAN CO LTD (JP)
International Classes:
G01N5/02; G01N27/04; G01N27/12
Domestic Patent References:
| WO2016033186A1 | 2016-03-03 |
Foreign References:
| JPH0618466A | 1994-01-25 | |||
| JP2011169830A | 2011-09-01 | |||
| JP2018105659A | 2018-07-05 | |||
| JP2020186934A | 2020-11-19 |
Other References:
LIU QIHE, XIAONAN HU,MAO YE,XIANQIONG CHENG,FAN LI: "Gas Recognition under Sensor Drift by Using Deep Learning", INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 30, no. 8, 9 April 2015 (2015-04-09), pages 907 - 922, XP055965926, ISSN: 1098-111X, DOI: 10.1002/int.21731
Attorney, Agent or Firm:
NII, Hiromori et al. (JP)
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