WO2024090156A1 - Procédé d'identification d'odeur et système d'identification d'odeur - Google Patents

Procédé d'identification d'odeur et système d'identification d'odeur Download PDF

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WO2024090156A1
WO2024090156A1 PCT/JP2023/036173 JP2023036173W WO2024090156A1 WO 2024090156 A1 WO2024090156 A1 WO 2024090156A1 JP 2023036173 W JP2023036173 W JP 2023036173W WO 2024090156 A1 WO2024090156 A1 WO 2024090156A1
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odor
period
sensor
sample gas
sensors
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PCT/JP2023/036173
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English (en)
Japanese (ja)
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俊輝 新家
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パナソニックＩｐマネジメント株式会社
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
    • G01N27/04—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
    • G01N27/12—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance of a solid body in dependence upon absorption of a fluid; of a solid body in dependence upon reaction with a fluid, for detecting components in the fluid
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N5/00—Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid
    • G01N5/02—Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid by absorbing or adsorbing components of a material and determining change of weight of the adsorbent, e.g. determining moisture content

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  • This disclosure relates to an odor identification method and an odor identification system.
  • Patent Document 1 discloses a technology for identifying an analyte by using the intensity, wavelength, intensity ratio, kurtosis, etc. of a pulsed signal that detects an analyte as features.
  • the present disclosure provides an odor identification method and odor identification system that can identify the odor of a sample gas in a short time and with high accuracy.
  • An odor identification method is a method for identifying the odor of a sample gas, and includes the steps of: (a) using a plurality of sensors that output detection signals according to the adsorption concentration of odor molecules contained in the sample gas, adsorbing the odor molecules contained in the sample gas to each of the plurality of sensors at different times and for a first period, and desorbing the odor molecules from each of the plurality of sensors at different times and for a second period; (b) measuring a plurality of detection signals output from the plurality of sensors during a common measurement period that is shorter than the first period or the second period; and (c) identifying the odor of the sample gas based on the plurality of detection signals measured in (b).
  • An odor identification system is an odor identification system that identifies the odor of a sample gas, and includes a plurality of sensors, each of which outputs a detection signal corresponding to the adsorption concentration of odor molecules contained in the sample gas, a measurement unit that measures a plurality of detection signals output from the plurality of sensors during a common measurement period shorter than the first period or the second period when odor molecules contained in the sample gas are adsorbed to each of the plurality of sensors at different times and for a first period and odor molecules are desorbed from each of the plurality of sensors at different times and for a second period, and an identification unit that identifies the odor of the sample gas based on the plurality of detection signals measured by the measurement unit.
  • the odor identification method makes it possible to identify the odor of a sample gas in a short time and with high accuracy.
  • FIG. 1 is a block diagram showing a configuration of an odor identification system according to a first embodiment.
  • FIG. 2 is a schematic diagram showing an exposure section of the odor identification system of embodiment 1.
  • FIG. FIG. 2 is a diagram showing a first sensor of the odor identification system according to the first embodiment.
  • 4 is a graph showing an example of the response of each sensitive element when the first sensor is exposed to sample gas A.
  • 13 is a graph showing an example of the response of each sensitive element when the second sensor is exposed to sample gas B.
  • 13 is a graph showing an example of the response of each sensing element when the third sensor is exposed to sample gas C.
  • 5 is a graph illustrating a schematic diagram of detection signals output from a first sensor, a second sensor, and a third sensor.
  • FIG. 4 is a diagram for explaining an example of measurement processing by a measurement unit of the odor identification system of embodiment 1.
  • FIG. 11 is a diagram for explaining another example of the measurement process by the measurement unit of the odor identification system of embodiment 1.
  • FIG. 11 is a diagram for explaining another example of the identification process performed by the identification unit of the odor identification system of embodiment 1.
  • FIG. 4 is a flowchart showing the flow of operation of the odor identification system according to embodiment 1.
  • a diagram for explaining the configuration of an odor identification system according to Comparative Example B. 1 is a table showing the results of experiment 1 for confirming the effects obtained by the odor identification system of embodiment 1.
  • FIG. 11 is a table showing the results of experiment 2 to confirm the effects obtained by the odor identification system of embodiment 1.
  • FIG. 11 is a block diagram showing the configuration of an odor identification system according to a second embodiment.
  • 5 is a graph illustrating a schematic diagram of detection signals output from a first sensor, a second sensor, and a third sensor.
  • An odor identification method for identifying the odor of a sample gas comprising the steps of: (a) using a plurality of sensors that output detection signals corresponding to the adsorption concentration of odor molecules contained in the sample gas, adsorbing odor molecules contained in the sample gas to each of the plurality of sensors at different times and for a first period, and desorbing the odor molecules from each of the plurality of sensors at different times and for a second period; (b) measuring a plurality of detection signals output from the plurality of sensors during a common measurement period that is shorter than the first period or the second period; and (c) identifying the odor of the sample gas based on the plurality of detection signals measured in (b).
  • multiple detection signals output from multiple sensors are measured during a common measurement period that is shorter than the first period or the second period, and the odor of the sample gas is identified based on the multiple measured detection signals.
  • the common measurement period for measuring the multiple detection signals is shorter than the first period or the second period, the time required for measurement can be shortened and the odor of the sample gas can be identified in a short time.
  • multiple detection signals are measured during the common measurement period, a greater amount of information can be obtained from the measurement. As a result, the odor of the sample gas can be identified with high accuracy.
  • each of the multiple switching valves can be easily switched from one of the first state and the second state to the other at different times.
  • a plurality of temperature control devices In association with the plurality of sensors, a plurality of temperature control devices are provided which alternate between a heated state in which the plurality of sensors are heated and a non-heated state in which the plurality of sensors are not heated, and in (a), each of the plurality of temperature control devices is switched from one of the non-heated state and the heated state to the other at mutually different timings.
  • Technical technique 3 allows multiple temperature control devices to be controlled, so that each of the multiple temperature control devices can be easily switched from one of a non-heating state and a heating state to the other at different times.
  • Technique 4 creates a predetermined phase difference between multiple detection signals output from multiple sensors during the first or second period, so that the amount of information corresponding to the detection signals output over the first or second period can be obtained from the multiple partial detection signals.
  • Technology 5 allows multiple partial detection signals to effectively obtain an amount of information equivalent to the detection signal output over the first or second period.
  • a pseudo detection signal is generated by connecting together the waveforms of the multiple detection signals measured in the step (b), and the odor of the sample gas is identified based on the generated pseudo detection signal using a trained model for identifying the sample gas.
  • Technology 6 allows the odor of sample gas to be identified with high accuracy.
  • Technology 7 makes it possible to accurately identify the odor of a sample gas.
  • Technology 8 makes it possible to easily obtain multiple detection signals output from multiple sensors via a network, even when the multiple sensors are located in remote locations.
  • An odor identification system for identifying the odor of a sample gas, comprising: a plurality of sensors each outputting a detection signal corresponding to an adsorption concentration of odor molecules contained in the sample gas; a measurement unit that measures a plurality of detection signals output from each of the plurality of sensors during a common measurement period shorter than the first period or the second period when odor molecules contained in the sample gas are adsorbed to each of the plurality of sensors at different times and for a first period and desorbed from each of the plurality of sensors at different times and for a second period; and an identification unit that identifies the odor of the sample gas based on the plurality of detection signals measured by the measurement unit.
  • the measurement unit measures multiple detection signals output from multiple sensors during a common measurement period that is shorter than the first period or the second period, and the identification unit identifies the odor of the sample gas based on the multiple measured detection signals.
  • the common measurement period for measuring the multiple detection signals is shorter than the first period or the second period, the time required for measurement can be shortened and the odor of the sample gas can be identified in a short time.
  • multiple detection signals are measured during the common measurement period, a greater amount of information can be obtained from the measurement. As a result, the odor of the sample gas can be identified with high accuracy.
  • FIG. 1 is a block diagram showing the configuration of an odor identification system 2 according to embodiment 1.
  • Figure 2 is a schematic diagram showing an exposure unit 4 of the odor identification system 2 according to embodiment 1.
  • Figure 3 is a diagram showing a first sensor 8a of the odor identification system 2 according to embodiment 1.
  • the odor identification system 2 is a system for identifying the odor of a sample gas.
  • the odor identification system 2 identifies which type of odor molecule is contained in the sample gas among multiple types of odor molecules.
  • the sample gas is gas collected from food, and the odor identification system 2 is applied as a system for inspecting all foods transported sequentially on a conveyor in a food production line to determine whether or not they are generating odorous gases.
  • the odor identification system 2 includes an exposure unit 4, a control unit 6, a first sensor 8a (an example of a sensor), a second sensor 8b (an example of a sensor), a third sensor 8c (an example of a sensor), an acquisition unit 10, a measurement unit 12, a memory unit 14, and an identification unit 16.
  • the exposure unit 4 is a mechanism for exposing each of the first sensor 8a, the second sensor 8b, and the third sensor 8c to a sample gas or nitrogen gas.
  • Nitrogen gas is an inert gas that does not contain odor molecules, and is used to desorb odor molecules from each of the first sensor 8a, the second sensor 8b, and the third sensor 8c.
  • nitrogen gas instead of nitrogen gas, other inert gases such as air, or gas obtained by removing chemical substances from a sample gas using a filter, etc. may be used.
  • the exposure unit 4 exposes the first sensor 8a to the sample gas during the first period T1 of a period Tm (see FIG. 5 described later) consisting of a first period T1 (e.g., 6 seconds) and a second period T2 (e.g., 18 seconds) following the first period T1. Furthermore, the exposure unit 4 exposes the first sensor 8a to nitrogen gas during the second period T2 of the period Tm.
  • a period Tm consisting of a first period T1 (e.g., 6 seconds) and a second period T2 (e.g., 18 seconds) following the first period T1.
  • the exposure unit 4 exposes the first sensor 8a to nitrogen gas during the second period T2 of the period Tm.
  • the exposure unit 4 also exposes the second sensor 8b to the sample gas during a first period T1 of the period Tm that is slightly delayed from the timing at which the first sensor 8a begins to be exposed to the sample gas. Furthermore, the exposure unit 4 also exposes the second sensor 8b to nitrogen gas during a second period T2 of the period Tm that is slightly delayed from the timing at which the first sensor 8a begins to be exposed to the nitrogen gas.
  • the exposure unit 4 exposes the third sensor 8c to the sample gas in a first period T1 of the period Tm that is slightly delayed from the timing at which the second sensor 8b starts to be exposed to the sample gas. Furthermore, the exposure unit 4 exposes the third sensor 8c to nitrogen gas in a second period T2 of the period Tm that is slightly delayed from the timing at which the second sensor 8b starts to be exposed to the nitrogen gas.
  • the exposure section 4 has a first container 18a (an example of a container), a second container 18b (an example of a container), a third container 18c (an example of a container), a first switching valve 20a (an example of a switching valve), a second switching valve 20b (an example of a switching valve), a third switching valve 20c (an example of a switching valve), and a pump 22.
  • the first container 18a is, for example, a box-shaped container for housing the first sensor 8a.
  • the second container 18b is, for example, a box-shaped container for housing the second sensor 8b.
  • the third container 18c is, for example, a box-shaped container for housing the third sensor 8c. Sample gas or nitrogen gas is introduced into each of the first container 18a, the second container 18b, and the third container 18c, as described below.
  • the first switching valve 20a is a three-way solenoid valve for switching the gas introduced into the first container 18a, and is driven by the control unit 6 (see FIG. 1).
  • the first switching valve 20a has a first input port 24, a second input port 26, and an output port 28.
  • the first switching valve 20a is switched between a first state in which the first input port 24 and the output port 28 are connected, and a second state in which the second input port 26 and the output port 28 are connected. In the first state, the first input port 24 and the output port 28 are each open, and the second input port 26 is closed. On the other hand, in the second state, the second input port 26 and the output port 28 are each open, and the first input port 24 is closed.
  • the first input port 24 is connected via a pipe to a sample gas supply source 30 for supplying sample gas.
  • the second input port 26 is connected via a pipe to a nitrogen gas supply source 32 for supplying nitrogen gas.
  • the output port 28 is connected via a pipe to the first container 18a.
  • the second switching valve 20b is a three-way solenoid valve for switching the gas introduced into the second container 18b, and is driven by the control unit 6.
  • the second switching valve 20b has a first input port 34, a second input port 36, and an output port 38.
  • the second switching valve 20b is switched between a first state in which the first input port 34 and the output port 38 are connected, and a second state in which the second input port 36 and the output port 38 are connected. In the first state, the first input port 34 and the output port 38 are each open, and the second input port 36 is closed. On the other hand, in the second state, the second input port 36 and the output port 38 are each open, and the first input port 34 is closed.
  • the first input port 34 is connected to the sample gas source 30 via piping.
  • the second input port 36 is connected to the nitrogen gas source 32 via piping.
  • the output port 38 is connected to the second container 18b via piping.
  • the third switching valve 20c is a three-way solenoid valve for switching the gas introduced into the third container 18c, and is driven by the control unit 6.
  • the third switching valve 20c has a first input port 40, a second input port 42, and an output port 44.
  • the third switching valve 20c is switched between a first state in which the first input port 40 and the output port 44 are in communication with each other, and a second state in which the second input port 42 and the output port 44 are in communication with each other. In the first state, the first input port 40 and the output port 44 are each open, and the second input port 42 is closed. On the other hand, in the second state, the second input port 42 and the output port 44 are each open, and the first input port 40 is closed.
  • the first input port 40 is connected to the sample gas source 30 via a pipe.
  • the second input port 42 is connected to the nitrogen gas source 32 via a pipe.
  • the output port 44 is connected to the third container 18c via a pipe.
  • the pump 22 is an intake pump driven by the control unit 6.
  • the pump 22 is connected to each of the first container 18a, the second container 18b, and the third container 18c via piping, and is also connected to an exhaust duct (not shown) via piping.
  • the pump 22 introduces sample gas or nitrogen gas into the first container 18a, and discharges the introduced sample gas or nitrogen gas from the inside of the first container 18a to the exhaust duct.
  • the pump 22 also introduces sample gas or nitrogen gas into the second container 18b, and discharges the introduced sample gas or nitrogen gas from the inside of the second container 18b to the exhaust duct.
  • the pump 22 also introduces sample gas or nitrogen gas into the third container 18c, and discharges the introduced sample gas or nitrogen gas from the inside of the third container 18c to the exhaust duct.
  • the sample gas or nitrogen gas is introduced into the first container 18a as follows.
  • the pump 22 is driven and the first switching valve 20a is switched to the first state.
  • the sample gas supplied from the sample gas supply source 30 is introduced into the first container 18a through the first input port 24 and the output port 28 of the first switching valve 20a.
  • the first sensor 8a is exposed to the sample gas introduced into the first container 18a, and odor molecules contained in the sample gas are adsorbed by the first sensor 8a.
  • the sample gas introduced into the first container 18a is exhausted to the exhaust duct via the pump 22.
  • the first switching valve 20a is switched to the second state while the pump 22 is operating.
  • the nitrogen gas supplied from the nitrogen gas supply source 32 is introduced into the first container 18a through the second input port 26 and the output port 28 of the first switching valve 20a.
  • the sample gas remaining in the first container 18a is discharged to the exhaust duct via the pump 22 by the flow of nitrogen gas introduced into the first container 18a.
  • the first sensor 8a is exposed to the nitrogen gas introduced into the first container 18a, and the odor molecules adsorbed to the first sensor 8a are desorbed by the flow of nitrogen gas.
  • the nitrogen gas introduced into the first container 18a is discharged to the exhaust duct via the pump 22.
  • the sample gas or nitrogen gas is introduced into the second container 18b as follows.
  • the pump 22 is driven and the second switching valve 20b is switched to the first state.
  • the sample gas supplied from the sample gas supply source 30 is introduced into the second container 18b through the first input port 34 and the output port 38 of the second switching valve 20b.
  • the second sensor 8b is exposed to the sample gas introduced into the second container 18b, and the odor molecules contained in the sample gas are adsorbed by the second sensor 8b.
  • the sample gas introduced into the second container 18b is exhausted to the exhaust duct via the pump 22.
  • the second switching valve 20b is switched to the second state while the pump 22 is operating.
  • the nitrogen gas supplied from the nitrogen gas supply source 32 is introduced into the second container 18b through the second input port 36 and the output port 38 of the second switching valve 20b.
  • the second sensor 8b is exposed to the nitrogen gas introduced into the second container 18b, and the odor molecules adsorbed to the second sensor 8b are desorbed by the flow of nitrogen gas.
  • the nitrogen gas introduced into the second container 18b is exhausted to the exhaust duct via the pump 22.
  • the sample gas or nitrogen gas is introduced into the third container 18c as follows.
  • the pump 22 is driven and the third switching valve 20c is switched to the first state.
  • the sample gas supplied from the sample gas supply source 30 is introduced into the third container 18c through the first input port 40 and the output port 44 of the third switching valve 20c.
  • the third sensor 8c is exposed to the sample gas introduced into the third container 18c, and the odor molecules contained in the sample gas are adsorbed by the third sensor 8c.
  • the sample gas introduced into the third container 18c is exhausted to the exhaust duct via the pump 22.
  • the third switching valve 20c is switched to the second state while the pump 22 is operating.
  • the nitrogen gas supplied from the nitrogen gas supply source 32 is introduced into the third container 18c through the second input port 42 and the output port 44 of the third switching valve 20c.
  • the third sensor 8c is exposed to the nitrogen gas introduced into the third container 18c, and the odor molecules adsorbed to the third sensor 8c are desorbed by the flow of nitrogen gas.
  • the nitrogen gas introduced into the third container 18c is exhausted to the exhaust duct via the pump 22.
  • the control unit 6 controls the operation of the first switching valve 20a and the pump 22 of the exposure unit 4. Specifically, in a first period T1 in the period Tm, the control unit 6 drives the pump 22 and switches the first switching valve 20a to the first state. In addition, in a second period T2 in the period Tm, the control unit 6 drives the pump 22 and switches the first switching valve 20a to the second state. The control unit 6 then repeatedly switches the first switching valve 20a between the first state and the second state, with the period Tm as a cycle.
  • the control unit 6 also controls the driving of the second switching valve 20b and the pump 22 of the exposure unit 4. Specifically, in a first period T1 during a period Tm slightly delayed from the timing when the first switching valve 20a is switched to the first state, the control unit 6 drives the pump 22 and switches the second switching valve 20b to the first state. In a second period T2 during a period Tm slightly delayed from the timing when the first switching valve 20a is switched to the second state, the control unit 6 drives the pump 22 and switches the second switching valve 20b to the second state. The control unit 6 then repeatedly switches the second switching valve 20b between the first state and the second state, with the period Tm as a cycle.
  • the control unit 6 also controls the driving of the third switching valve 20c and the pump 22 of the exposure unit 4. Specifically, in a first period T1 during a period Tm slightly delayed from the timing when the second switching valve 20b is switched to the first state, the control unit 6 drives the pump 22 and switches the third switching valve 20c to the first state. In a third period T3 during a period Tm slightly delayed from the timing when the second switching valve 20b is switched to the second state, the control unit 6 drives the pump 22 and switches the third switching valve 20c to the second state. The control unit 6 then repeatedly switches the third switching valve 20c between the first state and the second state, with the period Tm as a cycle.
  • the control unit 6 controls the driving of the first switching valve 20a, the second switching valve 20b, and the third switching valve 20c so that the timing of switching the first switching valve 20a from the second state to the first state, the timing of switching the second switching valve 20b from the second state to the first state, and the timing of switching the third switching valve 20c from the second state to the first state are different from each other.
  • the timing of switching the second switching valve 20b from the second state to the first state is slightly later than the timing of switching the first switching valve 20a from the second state to the first state
  • the timing of switching the third switching valve 20c from the second state to the first state is slightly later than the timing of switching the second switching valve 20b from the second state to the first state.
  • the control unit 6 also controls the driving of the first switching valve 20a, the second switching valve 20b, and the third switching valve 20c so that the timing of switching the first switching valve 20a from the first state to the second state, the timing of switching the second switching valve 20b from the first state to the second state, and the timing of switching the third switching valve 20c from the first state to the second state are different from each other.
  • the timing of switching the second switching valve 20b from the first state to the second state is slightly later than the timing of switching the first switching valve 20a from the first state to the second state
  • the timing of switching the third switching valve 20c from the first state to the second state is slightly later than the timing of switching the second switching valve 20b from the first state to the second state.
  • the first sensor 8a is housed in the first container 18a, and when exposed to the sample gas introduced into the first container 18a, it outputs a detection signal corresponding to the adsorption concentration of odor molecules contained in the sample gas.
  • the first sensor 8a is, for example, an electrical resistance type sensor, and has a plurality of sensing elements 46 (for example, a total of 16, CH1 to CH16) having different sensing characteristics.
  • Each of the plurality of sensing elements 46 has a sensing portion 48 formed of a sensitive film and a pair of electrodes 50, 52 electrically connected to the sensing portion 48.
  • the electrical resistance value of the sensing portion 48 changes according to the adsorption concentration of odor molecules in the sample gas to the sensing portion 48.
  • Each of the plurality of sensing elements 46 outputs a detection signal corresponding to the electrical resistance value of the sensing portion 48 as a voltage signal or a current signal to the acquisition portion 10 via the pair of electrodes 50, 52.
  • FIG. 4A is a graph showing an example of the response of each sensing element 46 when the first sensor 8a is exposed to sample gas A ( ⁇ -phenylethyl alcohol).
  • the 16 graphs shown in FIG. 4A show the time changes of 16 detection signals output from the 16 sensing elements 46 of the first sensor 8a.
  • the horizontal axis of each graph shows time, and the vertical axis of each graph shows signal strength.
  • the changes in electrical resistance over time in each of the 16 sensing elements 46 are different from one another.
  • FIG. 4B is a graph showing an example of the response of each sensing element 46 when the second sensor 8b is exposed to sample gas B (methylcyclopentenolone).
  • the 16 graphs shown in FIG. 4B show the time changes of the 16 detection signals output from the 16 sensing elements 46 of the first sensor 8a.
  • the horizontal axis of each graph shows time, and the vertical axis of each graph shows signal strength.
  • the time changes of the electrical resistance value in each of the 16 sensing elements 46 are different from one another.
  • Figure 4C is a graph showing an example of the response of each sensing element 46 when the third sensor 8c is exposed to sample gas C (isovaleric acid).
  • the 16 graphs shown in Figure 4C each show the time changes of the 16 detection signals output from the 16 sensing elements 46 of the first sensor 8a.
  • the horizontal axis of each graph shows time, and the vertical axis of each graph shows signal strength.
  • the time changes of the electrical resistance value in each of the 16 sensing elements 46 are different from one another.
  • the second sensor 8b is housed in the second container 18b, and when exposed to the sample gas introduced into the second container 18b, it outputs a detection signal corresponding to the adsorption concentration of odor molecules contained in the sample gas.
  • the second sensor 8b is, for example, composed of an electrical resistance type sensor, and although not shown, has multiple sensing elements (for example, a total of 16 from CH1 to CH16) with different sensing characteristics, similar to the first sensor 8a.
  • Each of the multiple sensing elements has a sensing portion formed of a sensitive film and a pair of electrodes electrically connected to the sensing portion. The electrical resistance value of the sensing portion changes according to the adsorption concentration of odor molecules in the sample gas to the sensing portion.
  • Each of the multiple sensing elements outputs a detection signal corresponding to the electrical resistance value of the sensing portion as a voltage signal or a current signal via the pair of electrodes to the acquisition portion 10.
  • the third sensor 8c is housed in the third container 18c, and when exposed to the sample gas introduced into the third container 18c, it outputs a detection signal corresponding to the adsorption concentration of odor molecules contained in the sample gas.
  • the third sensor 8c is, for example, composed of an electrical resistance type sensor, and although not shown, has multiple sensing elements (for example, a total of 16 from CH1 to CH16) with different sensing characteristics, similar to the first sensor 8a.
  • Each of the multiple sensing elements has a sensing portion formed of a sensitive film and a pair of electrodes electrically connected to the sensing portion. The electrical resistance value of the sensing portion changes according to the adsorption concentration of odor molecules in the sample gas to the sensing portion.
  • Each of the multiple sensing elements outputs a detection signal corresponding to the electrical resistance value of the sensing portion as a voltage signal or a current signal via the pair of electrodes to the acquisition unit 10.
  • FIG. 5(a) to (c) of FIG. 5 are graphs each showing a schematic representation of a detection signal output from each of the first sensor 8a, the second sensor 8b, and the third sensor 8c.
  • the horizontal axis of each graph indicates time, and the vertical axis of each graph indicates signal strength.
  • the detection signal shown in FIG. 5(a) is a detection signal output from one sensor element 46 (e.g., CH1 sensor element 46) of the first sensor 8a
  • the detection signal shown in FIG. 5(b) is a detection signal output from one sensor element (e.g., CH1 sensor element) of the second sensor 8b
  • the detection signal shown in FIG. 5(c) is a detection signal output from one sensor element (e.g., CH1 sensor element) of the third sensor 8c.
  • the value (signal strength) of the detection signal output from the first sensor 8a changes over time during the period Tm. Specifically, during the first period T1 in which the first sensor 8a is exposed to the sample gas, the sensing unit 48 of the first sensor 8a adsorbs odor molecules contained in the sample gas, causing the value of the detection signal output from the first sensor 8a to increase. Thereafter, during the second period T2 in which the first sensor 8a is exposed to nitrogen gas, the odor molecules are desorbed from the sensing unit 48 of the first sensor 8a, causing the value of the detection signal output from the first sensor 8a to decrease.
  • the value of the detection signal output from the second sensor 8b changes over time during the period Tm. Specifically, during the first period T1 during which the second sensor 8b is exposed to the sample gas, the sensing portion of the second sensor 8b adsorbs odor molecules contained in the sample gas, causing the value of the detection signal output from the second sensor 8b to rise. At this time, as shown in FIG. 5A and FIG. 5B, a predetermined phase difference ⁇ T occurs between the detection signal output from the first sensor 8a during the first period T1 and the detection signal output from the second sensor 8b during the first period T1.
  • the predetermined phase difference ⁇ T is a phase difference (e.g., 2 seconds) obtained by dividing the first period T1 (e.g., 6 seconds) by the number of the first sensor 8a, the second sensor 8b, and the third sensor 8c (e.g., 3).
  • odor molecules are released from the sensing portion of the second sensor 8b, causing the value of the detection signal output from the second sensor 8b to decrease.
  • a predetermined phase difference ⁇ T occurs between the detection signal output from the first sensor 8a during the second period T2 and the detection signal output from the second sensor 8b during the second period T2.
  • the value of the detection signal output from the third sensor 8c changes over time during the period Tm. Specifically, during the first period T1 during which the third sensor 8c is exposed to the sample gas, the sensing portion of the third sensor 8c adsorbs odor molecules contained in the sample gas, causing the value of the detection signal output from the third sensor 8c to rise. At this time, as shown in FIG. 5(b) and (c), a predetermined phase difference ⁇ T occurs between the detection signal output from the second sensor 8b during the first period T1 and the detection signal output from the third sensor 8c during the first period T1.
  • odor molecules are desorbed from the sensing portion of the third sensor 8c, causing the value of the detection signal output from the third sensor 8c to decrease.
  • a predetermined phase difference ⁇ T occurs between the detection signal output from the second sensor 8b during the second period T2 and the detection signal output from the third sensor 8c during the second period T2.
  • the first sensor 8a, the second sensor 8b, and the third sensor 8c are each configured as an electrical resistance type sensor, but are not limited to this and may be configured as various types of sensors, such as electrochemical type, semiconductor type, field effect transistor type, surface acoustic wave type, or quartz crystal type.
  • the acquisition unit 10 acquires the detection signal output from the first sensor 8a in the first period T1, the detection signal output from the second sensor 8b in the first period T1, and the detection signal output from the third sensor 8c in the first period T1, and outputs each of the acquired detection signals to the measurement unit 12.
  • the acquisition unit 10 may acquire the detection signal output from the first sensor 8a during the second period T2, the detection signal output from the second sensor 8b during the second period T2, and the detection signal output from the third sensor 8c during the second period T2.
  • the measurement unit 12 measures a plurality of partial detection signals (one example of a plurality of detection signals) that are respectively output during a common measurement period shorter than the first period T1, among the plurality of detection signals acquired from the acquisition unit 10.
  • the measurement unit 12 outputs the measured plurality of partial detection signals to the identification unit 16.
  • the common measurement period is a period for simultaneously measuring the acquired detection signals from each of the first sensor 8a, the second sensor 8b, and the third sensor 8c.
  • the measurement process of the measurement unit 12 will be specifically described with reference to FIG. 6.
  • FIG. 6 is a diagram for explaining an example of the measurement process by the measurement unit 12 of the odor identification system 2 according to embodiment 1.
  • the measurement unit 12 measures the partial detection signal output during a common measurement period ⁇ Ts (e.g., 2 seconds) shorter than the first period T1, among the acquired detection signals from the first sensor 8a. Also, as shown in FIG. 6(b), the measurement unit 12 measures the partial detection signal output during a common measurement period ⁇ Ts shorter than the first period T1, among the acquired detection signals from the second sensor 8b. Also, as shown in FIG. 6(c), the measurement unit 12 measures the partial detection signal output during a common measurement period ⁇ Ts shorter than the first period T1, among the acquired detection signals from the third sensor 8c.
  • ⁇ Ts e.g., 2 seconds
  • FIG. 7 is a diagram for explaining another example of the measurement process by the measurement unit 12 of the odor identification system 2 according to embodiment 1.
  • the acquisition unit 10 acquires a detection signal output from the first sensor 8a in the second period T2, a detection signal output from the second sensor 8b in the second period T2, and a detection signal output from the third sensor 8c in the second period T2.
  • the measurement unit 12 measures the partial detection signals output during a common measurement period ⁇ Ts (e.g., 6 seconds) shorter than the second period T2 from among the acquired detection signals from the first sensor 8a. Also, as shown in FIG. 7(b), the measurement unit 12 measures the partial detection signals output during a common measurement period ⁇ Ts shorter than the second period T2 from among the acquired detection signals from the second sensor 8b. Also, as shown in FIG. 7(c), the measurement unit 12 measures the partial detection signals output during a common measurement period ⁇ Ts shorter than the second period T2 from among the acquired detection signals from the third sensor 8c.
  • ⁇ Ts e.g., 6 seconds
  • the storage unit 14 is a memory that stores the trained model used by the identification unit 16.
  • the trained model is a logical model for identifying the odor of the sample gas.
  • the trained model is a logical model for identifying, for example, which type of odor molecule is contained in the sample gas among multiple types of odor molecules.
  • the trained model takes as input each of the feature amounts of multiple partial detection signals measured by the measurement unit 12, and outputs information indicating which type of odor molecule is contained in the sample gas among multiple types of odor molecules.
  • the trained model is constructed, for example, by performing machine learning using as training data known odor molecules and each feature of a plurality of partial detection signals measured from a plurality of detection signals output from the first sensor 8a, the second sensor 8b, and the third sensor 8c exposed to a sample gas containing the known odor molecules.
  • a neural network, a random forest, a support vector machine, or a self-organizing map is used to construct a logical model in machine learning.
  • the discrimination unit 16 calculates the feature amount of each of the multiple partial detection signals measured by the measurement unit 12. Specifically, as shown in FIG. 6, the discrimination unit 16 calculates the maximum value of each partial detection signal (signal sensitivity) or the slope of each partial detection signal (amount of change in the value of the partial detection signal per unit time) as a feature amount. The discrimination unit 16 then uses a trained model stored in the memory unit 14 to discriminate the odor of the sample gas based on the multiple calculated feature amounts. Specifically, the discrimination unit 16 uses the trained model to discriminate which type of odor molecule is contained in the sample gas among the multiple types of odor molecules. The discrimination unit 16 outputs information indicating the discrimination result to, for example, a display unit (not shown) provided in the odor discrimination system 2. As a result, the discrimination result by the discrimination unit 16 is displayed on the display unit.
  • FIG. 8 is a diagram for explaining another example of the identification process by the identification unit 16 of the odor identification system 2 according to embodiment 1.
  • the identification unit 16 generates a pseudo detection signal by connecting together the waveforms of the measured multiple partial detection signals.
  • the pseudo detection signal is a signal that is generated in a pseudo manner from the detection signals detected from each of the first sensor 8a, the second sensor 8b, and the third sensor 8c over the first period T1.
  • the identification unit 16 may identify the odor of the sample gas based on the generated pseudo detection signal using a trained model stored in the memory unit 14.
  • Fig. 9 is a flowchart showing the flow of the operation of the odor identification system 2 according to the first embodiment.
  • the control unit 6 drives the pump 22 and switches the first switching valve 20a to the first state during the first period T1 of the period Tm. This causes the sample gas to be introduced into the first container 18a, and the first sensor 8a is exposed to the sample gas over the first period T1 of the period Tm (S101).
  • the control unit 6 drives the pump 22 during the first period T1 of the period Tm, and switches the second switching valve 20b to the first state.
  • the sample gas is introduced into the second container 18b, and the second sensor 8b is exposed to the sample gas for the first period T1 of the period Tm (S102).
  • the control unit 6 drives the pump 22 during the first period T1 of the period Tm, and switches the third switching valve 20c to the first state.
  • the sample gas is introduced into the third container 18c, and the third sensor 8c is exposed to the sample gas for the first period T1 of the period Tm (S103).
  • the acquisition unit 10 acquires the detection signal output from the first sensor 8a in the first period T1, the detection signal output from the second sensor 8b in the first period T1, and the detection signal output from the third sensor 8c in the first period T1 (S104).
  • the acquisition unit 10 outputs the acquired detection signals to the measurement unit 12.
  • the measurement unit 12 measures the plurality of partial detection signals that are respectively output during a common measurement period ⁇ Ts that is shorter than the first period T1, among the plurality of acquired detection signals (S105).
  • the measurement unit 12 outputs the plurality of measured partial detection signals to the identification unit 16.
  • the identification unit 16 calculates the feature quantities of each of the multiple partial detection signals measured by the measurement unit 12 (S106), and identifies the odor of the sample gas based on the multiple calculated feature quantities using the trained model stored in the memory unit 14 (S107). After that, the process shown in the flowchart of FIG. 9 is terminated.
  • Fig. 10 is a diagram for explaining the configuration of the odor identification system 102 according to Comparative Example A.
  • the same components as those in the above-mentioned first embodiment are denoted by the same reference numerals, and the description thereof will be omitted.
  • the odor identification system 102 of Comparative Example A includes a container 104, a switching valve 106, a pump 22, an acquisition unit 110, a measurement unit 112, and an identification unit 114.
  • a single sensor 108 is housed inside the container 104.
  • the acquisition unit 110 acquires the detection signal output from the sensor 108 during the first period T1, and outputs the acquired detection signal to the measurement unit 112.
  • the measurement unit 112 measures the acquired detection signal over a measurement period corresponding to the first period T1, and outputs the measurement result to the identification unit 114. In this way, the identification unit 114 identifies the odor of the sample gas based on the detection signal output from the sensor 108 over the first period T1.
  • FIG. 11 is a diagram for explaining the configuration of the odor identification system 115 according to Comparative Example B. Note that in FIG. 11, the same components as those in the above-mentioned embodiment 1 and Comparative Example A are given the same reference numerals, and their description will be omitted.
  • the odor identification system 115 of Comparative Example B includes a container 104, a switching valve 106, a pump 22, an acquisition unit 110, a measurement unit 116, and an identification unit 118.
  • the acquisition unit 110 acquires the detection signal output from the sensor 108 during the first period T1, and outputs the acquired detection signal to the measurement unit 116.
  • the measurement unit 116 measures the acquired detection signal over a measurement period equivalent to the first period T1 x 1/3, and outputs the measurement result to the identification unit 118. In this way, the identification unit 118 identifies the odor of the sample gas based on the detection signal output from the sensor 108 over the first period T1 x 1/3.
  • the time required to measure the detection signal is equivalent to the first period T1 x 1/3 (e.g., 2 seconds), which is shorter than that of Comparative Example A.
  • the amount of information obtained by the measurement of the measurement unit 116 during the measurement period is reduced, resulting in a problem in that the odor of the sample gas cannot be accurately identified.
  • the measurement unit 12 measures, from among the multiple acquired detection signals, multiple partial detection signals that are respectively output during a common measurement period ⁇ Ts that is shorter than the first period T1.
  • the identification unit 16 then calculates the feature amounts of each of the multiple partial detection signals measured by the measurement unit 12, and identifies the odor of the sample gas based on the multiple calculated feature amounts using the trained model stored in the memory unit 14.
  • the measurement period ⁇ Ts for measuring each of the multiple detection signals is shorter than the first period T1, so the time required for measurement can be shortened and the odor of the sample gas can be identified in a short time.
  • the measurement unit 12 measures multiple partial detection signals during a common measurement period ⁇ Ts, a greater amount of information can be obtained from the measurement. As a result, the odor of the sample gas can be identified with high accuracy.
  • sample gases A, B, and C (A to C) with five types of standard odors for odor judgment (odor intensity 2) were used as sample gases.
  • Sample gases A to C each contained the following three types of compounds.
  • Sample gas A ⁇ -phenylethyl alcohol (flower odor, concentration 1.659 ppm)
  • Sample gas B Methylcyclopentenolone (sweet burnt odor, concentration 2.033 ppm)
  • Sample gas C Isovaleric acid (sweaty sock odor, concentration 4.749 ppm)
  • Comparative Example 1 a single electrical resistance type sensor with 16 sensing elements was used and exposed to sample gases A to C. 80 pulses of detection signals were obtained from each sensing element of the sensor for sample gases A to C. The detection signals output over a measurement period equivalent to the first period T1 during adsorption were measured, and the features extracted from the measured detection signals were input into a trained model to conduct a test to identify the odor of the sample gas. A random forest was used as the trained model.
  • Comparative Example 2 a single electrical resistance type sensor with 16 sensing elements was used and exposed to sample gases A to C. 80 pulses of detection signals were obtained from each sensing element of the sensor for sample gases A to C. The detection signals output over a measurement period equivalent to the first period T1 x 1/3 during adsorption were measured, and the features extracted from the measured detection signals were input into the trained model to conduct a test to identify the odor of the sample gas. A random forest was used as the trained model.
  • Example 1 three electrical resistance type sensors with 16 sensing elements were used, and the three sensors were exposed to sample gases A to C. 80 pulses of detection signals were obtained from each of the sensing elements of the three sensors for sample gases A to C.
  • multiple partial detection signals were measured from the multiple detection signals output from each of the sensing elements of the three sensors over a measurement period ⁇ Ts that is shorter than the first period T1 during adsorption, and the feature amounts extracted from each of the measured multiple partial detection signals were input into a trained model to perform a test to identify the odor of the sample gas. Note that a random forest was used as the trained model.
  • FIG. 12 is a table showing the results of Experiment 1 to confirm the effects obtained by the odor identification system 2 according to embodiment 1.
  • the accuracy rate of the trained model in Experiment 1 was 94.3% in Comparative Example 1, 72.8% in Comparative Example 2, and 96.3% in Example 1. From the above, it was confirmed that in Example 1, the accuracy rate of the trained model was similar to that of Comparative Example 1, and that the accuracy rate of the trained model was significantly improved compared to Comparative Example 2.
  • Comparative Example 3 a single electrical resistance type sensor with 16 sensing elements was used and exposed to sample gases A to C. 80 pulses of detection signals were obtained from each sensing element of the sensor for sample gases A to C. The detection signals output over a measurement period equivalent to the second period T2 during desorption were measured, and the features extracted from the measured detection signals were input into the trained model to conduct a test to identify the odor of the sample gas. A random forest was used as the trained model.
  • Comparative Example 4 a single electrical resistance type sensor with 16 sensing elements was used and exposed to sample gases A to C. 80 pulses of detection signals were obtained from each sensing element of the sensor for sample gases A to C. The detection signals output over a measurement period equivalent to the second period T2 x 1/3 during desorption were measured, and the features extracted from the measured detection signals were input into the trained model to conduct a test to identify the odor of the sample gas. A random forest was used as the trained model.
  • Example 2 three electrical resistance type sensors with 16 sensing elements were used, and the three sensors were exposed to sample gases A to C. 80 pulses of detection signals were obtained from each of the sensing elements of the three sensors for sample gases A to C.
  • multiple partial detection signals were measured from the multiple detection signals output from each of the sensing elements of the three sensors over a measurement period ⁇ Ts shorter than the second period T2 during desorption, and the feature amounts extracted from each of the measured multiple partial detection signals were input into a trained model to perform a test to identify the odor of the sample gas. Note that a random forest was used as the trained model.
  • FIG. 13 is a table showing the results of Experiment 2 to confirm the effects obtained by the odor identification system 2 according to embodiment 1.
  • the accuracy rate of the trained model in Experiment 2 was 88.7% in Comparative Example 3, 56.4% in Comparative Example 4, and 93.8% in Example 2. From the above, it was confirmed that in Example 2, the accuracy rate of the trained model was similar to that of Comparative Example 3, and that the accuracy rate of the trained model was significantly improved compared to Comparative Example 4.
  • FIG. 14 is a block diagram showing the configuration of an odor identification system 2A according to embodiment 2.
  • Fig. 15 is a schematic diagram showing an exposure section 4A of the odor identification system 2A according to embodiment 2.
  • Fig. 16 is a graph showing schematic detection signals output from each of the first sensor 8a, the second sensor 8b, and the third sensor 8c.
  • the same components as those in embodiment 1 above are denoted by the same reference numerals, and their description will be omitted.
  • the exposure section 4A has a first heater 54a (an example of a temperature control device), a second heater 54b (an example of a temperature control device), and a third heater 54c (an example of a temperature control device) instead of the first switching valve 20a, the second switching valve 20b, and the third switching valve 20c described in the first embodiment above.
  • Each of the first heater 54a, the second heater 54b, and the third heater 54c is, for example, an electric heater that generates heat due to electrical resistance to the supplied power, and is controlled by the control section 6A.
  • the first heater 54a is accommodated inside the first container 18a and is arranged so as to be in contact with the first sensor 8a.
  • Sample gas supplied from the sample gas supply source 30 is introduced into the first container 18a.
  • the first heater 54a repeatedly heats and does not heat the first sensor 8a exposed to the sample gas in a cycle corresponding to the period Tm. That is, as shown in FIG. 16(a), the first heater 54a repeatedly switches between a non-heating state in which the first sensor 8a is not heated during a first period T1 in the period Tm, and a heating state in which the first sensor 8a is heated during a second period T2 in the period Tm.
  • the first heater 54a heats the first sensor 8a, thereby increasing the temperature of the first sensor 8a.
  • the heating of the first sensor 8a by the first heater 54a is stopped, and the first sensor 8a dissipates heat, thereby lowering the temperature of the first sensor 8a.
  • odor molecules contained in the sample gas are adsorbed to the first sensor 8a.
  • the first sensor 8a is heated by the first heater 54a, whereby the odor molecules that were attached to the first sensor 8a in the non-heated state immediately before the heated state are desorbed (volatilized), and the first sensor 8a can be cleaned.
  • the second heater 54b is accommodated inside the second container 18b and is arranged so as to be in contact with the second sensor 8b.
  • Sample gas supplied from the sample gas source 30 is introduced into the second container 18b.
  • the second heater 54b repeatedly heats and does not heat the second sensor 8b exposed to the sample gas in a cycle corresponding to the period Tm. That is, as shown in FIG. 16(b), the second heater 54b repeatedly switches between a non-heating state in which the second sensor 8b is not heated during the first period T1 in the period Tm, and a heating state in which the second sensor 8b is heated during the second period T2 in the period Tm.
  • the second heater 54b heats the second sensor 8b, thereby increasing the temperature of the second sensor 8b.
  • the heating of the second sensor 8b by the second heater 54b is stopped, and the second sensor 8b dissipates heat, thereby decreasing the temperature of the second sensor 8b.
  • odor molecules contained in the sample gas are adsorbed to the second sensor 8b. Thereafter, by heating the second sensor 8b with the second heater 54b in the heated state, the odor molecules that were attached to the second sensor 8b in the non-heated state immediately before the heated state are desorbed (volatilized), and the second sensor 8b can be cleaned.
  • the third heater 54c is accommodated inside the third container 18c and is arranged so as to be in contact with the third sensor 8c.
  • Sample gas supplied from the sample gas supply source 30 is introduced into the third container 18c.
  • the third heater 54c repeatedly heats and does not heat the third sensor 8c exposed to the sample gas in a cycle corresponding to the period Tm. That is, as shown in FIG. 16(c), the third heater 54c repeatedly switches between a non-heating state in which the third sensor 8c is not heated during the first period T1 in the period Tm, and a heating state in which the third sensor 8c is heated during the second period T2 in the period Tm.
  • the third sensor 8c In the heating state, the third sensor 8c is heated by the third heater 54c, and the temperature of the third sensor 8c increases. In the non-heated state, the heating of the third sensor 8c by the third heater 54c is stopped, and the third sensor 8c dissipates heat, thereby decreasing the temperature of the third sensor 8c.
  • odor molecules contained in the sample gas are adsorbed to the third sensor 8c.
  • the third sensor 8c by heating the third sensor 8c by the third heater 54c in the heated state, the odor molecules that have adhered to the third sensor 8c in the non-heated state immediately before the heated state are desorbed (volatilized), and the third sensor 8c can be cleaned.
  • the number of the first sensor 8a, the second sensor 8b, and the third sensor 8c is three, but this is not limited to three, and the number may be any number, for example, two or four or more.
  • the first switching valve 20a, the second switching valve 20b, and the third switching valve 20c are each configured as a solenoid valve, but this is not limited thereto, and they may be configured as, for example, pressure valves, etc.
  • the acquisition unit 10 directly acquires the multiple detection signals output from the first sensor 8a, the second sensor 8b, and the third sensor 8c, respectively, but this is not limited to the above.
  • the acquisition unit 10 may acquire the multiple detection signals output from the first sensor 8a, the second sensor 8b, and the third sensor 8c, respectively, via a network.
  • the first sensor 8a, the second sensor 8b, and the third sensor 8c may be disposed outside the odor identification system 2 (2A).
  • each component may be configured with dedicated hardware, or may be realized by executing a software program suitable for each component.
  • Each component may be realized by a program execution unit such as a CPU or processor reading and executing a software program recorded on a recording medium such as a hard disk or semiconductor memory.
  • a processor such as a CPU executing a program.
  • each of the above devices may be composed of an IC card or a standalone module that can be attached to each device.
  • the IC card or module is a computer system composed of a microprocessor, ROM, RAM, etc.
  • the IC card or module may include the above-mentioned ultra-multifunction LSI.
  • the IC card or module achieves its functions by the microprocessor operating according to a computer program. This IC card or module may be tamper-resistant.
  • the present disclosure may be the above-mentioned method. It may also be a computer program for implementing these methods by a computer, or a digital signal consisting of the computer program.
  • the present disclosure may also be a computer program or a digital signal recorded on a computer-readable non-transitory recording medium, such as a flexible disk, a hard disk, a CD-ROM, an MO, a DVD, a DVD-ROM, a DVD-RAM, a BD (Blu-ray (registered trademark) Disc), a semiconductor memory, etc. It may also be the digital signal recorded on these recording media.
  • the present disclosure may also be a computer program or a digital signal transmitted via a telecommunications line, a wireless or wired communication line, a network such as the Internet, data broadcasting, etc.
  • the present disclosure may also be a computer system having a microprocessor and a memory, the memory storing the computer program, and the microprocessor operating according to the computer program.
  • the program or the digital signal may also be implemented by another independent computer system by recording it on the recording medium and transferring it, or by transferring the program or the digital signal via the network, etc.
  • the odor identification system disclosed herein is useful, for example, as a system for inspecting food for off-odors on a food production line.

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Abstract

La présente invention concerne un procédé d'identification d'odeur qui comprend : (a) une étape d'adsorption de molécules d'odeur incluses dans un échantillon de gaz sur un premier capteur (8a), un deuxième capteur (8b) et un troisième capteur (8c) à différents moments pendant une première période de temps (T1), et libérer les molécules d'odeur du premier capteur (8a), du deuxième capteur (8b) et du troisième capteur (8c) à différents moments pendant une seconde période de temps (T2) ; (b) une étape de mesure d'une pluralité de signaux de détection émis respectivement à partir du premier capteur (8a), du deuxième capteur (8b) et du troisième capteur (8c) pendant une période de temps de mesure partagée (∆Ts) plus courte que la première période de temps (T1) ; et (c) une étape d'identification de l'odeur du gaz échantillon sur la base de la pluralité mesurée de signaux de détection.
PCT/JP2023/036173 2022-10-28 2023-10-04 Procédé d'identification d'odeur et système d'identification d'odeur WO2024090156A1 (fr)

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Publication number Priority date Publication date Assignee Title
JPH01132946A (ja) * 1987-11-17 1989-05-25 Nippon Ceramic Kk 炭酸ガスセンサ
JPH04186139A (ja) * 1990-11-21 1992-07-02 Suntory Ltd 匂い識別装置
JPH11142313A (ja) * 1997-11-05 1999-05-28 Ntt Data Corp 物質濃度の定量化方法、物質濃度検出装置および記録媒体
JP2001305034A (ja) * 2000-04-26 2001-10-31 Mitsubishi Electric Corp ガス同定方法、ガス定量方法およびガス同定または定量装置
JP2002350313A (ja) * 2001-05-25 2002-12-04 Mitsubishi Electric Corp 化学物質定量方法および化学物質定量装置
WO2020065991A1 (fr) * 2018-09-28 2020-04-02 日本電気株式会社 Dispositif de traitement d'informations, procédé d'optimisation de fonctionnement de capteur et programme
WO2022114158A1 (fr) * 2020-11-30 2022-06-02 パナソニックＩｐマネジメント株式会社 Système de détermination de la qualité de l'air, procédé de détermination de la qualité de l'air et module de détection
JP2022095385A (ja) * 2020-12-16 2022-06-28 ダイキン工業株式会社 ガス測定システム
WO2022191173A1 (fr) * 2021-03-12 2022-09-15 パナソニックＩｐマネジメント株式会社 Procédé d'identification de gaz et système d'identification de gaz

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH01132946A (ja) * 1987-11-17 1989-05-25 Nippon Ceramic Kk 炭酸ガスセンサ
JPH04186139A (ja) * 1990-11-21 1992-07-02 Suntory Ltd 匂い識別装置
JPH11142313A (ja) * 1997-11-05 1999-05-28 Ntt Data Corp 物質濃度の定量化方法、物質濃度検出装置および記録媒体
JP2001305034A (ja) * 2000-04-26 2001-10-31 Mitsubishi Electric Corp ガス同定方法、ガス定量方法およびガス同定または定量装置
JP2002350313A (ja) * 2001-05-25 2002-12-04 Mitsubishi Electric Corp 化学物質定量方法および化学物質定量装置
WO2020065991A1 (fr) * 2018-09-28 2020-04-02 日本電気株式会社 Dispositif de traitement d'informations, procédé d'optimisation de fonctionnement de capteur et programme
WO2022114158A1 (fr) * 2020-11-30 2022-06-02 パナソニックＩｐマネジメント株式会社 Système de détermination de la qualité de l'air, procédé de détermination de la qualité de l'air et module de détection
JP2022095385A (ja) * 2020-12-16 2022-06-28 ダイキン工業株式会社 ガス測定システム
WO2022191173A1 (fr) * 2021-03-12 2022-09-15 パナソニックＩｐマネジメント株式会社 Procédé d'identification de gaz et système d'identification de gaz

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