WO2021153566A1 - Smell decision device, smell decision method, and smell decision system - Google Patents

Smell decision device, smell decision method, and smell decision system Download PDF

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Publication number
WO2021153566A1
WO2021153566A1 PCT/JP2021/002672 JP2021002672W WO2021153566A1 WO 2021153566 A1 WO2021153566 A1 WO 2021153566A1 JP 2021002672 W JP2021002672 W JP 2021002672W WO 2021153566 A1 WO2021153566 A1 WO 2021153566A1
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Prior art keywords
odor
type
determination unit
determination
determined
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PCT/JP2021/002672
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French (fr)
Japanese (ja)
Inventor
陽介 恩田
賢一 下舞
服部 将志
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太陽誘電株式会社
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Priority to JP2021574053A priority Critical patent/JPWO2021153566A1/ja
Publication of WO2021153566A1 publication Critical patent/WO2021153566A1/en

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N5/00Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid
    • G01N5/02Analysing 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
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/12Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions

Definitions

  • An embodiment of the present invention relates to an odor determination device, an odor determination method, and an odor determination system.
  • a detection element having an adsorption film on which the odor-causing substance is adsorbed is arrayed, and the detection values related to the odor-causing substance detected by the detection element are patterned.
  • An odor sensor has been developed that outputs the odor pattern.
  • a transducer such as a piezoelectric resonator type, a semiconductor type, or an electrochemical type is used, including a QCM (Quartz Crystal Microbalance).
  • the odor pattern is learned and the type of odor is determined by machine learning. This makes it possible to determine the type of odor by associating the odor pattern with the type of odor without having to analyze the odor pattern by a person.
  • JP-A-2002-298240 Japanese Unexamined Patent Publication No. 05-223720
  • the determination result of the type of odor for example, the odor of oranges, the odor of apples, the odor of flowers
  • the determination result of the type of odors it is required to determine the process corresponding to the odor type. For example, when a bad odor is obtained as a result of determining the type of odor, it is required to decide the processing such as spraying a deodorant, ventilating the room, stopping the device that emits the bad odor, and notifying the mobile terminal of an alarm. Has been done.
  • the present invention has been made in view of the above, and is an odor determination device, an odor determination method, and an odor determination method that can automatically execute a process corresponding to an odor type based on an odor type determination result.
  • An object of the present invention is to provide an odor determination system.
  • the odor determination device includes an acquisition unit that acquires detection values obtained from each of the plurality of detection elements, a determination unit that determines whether or not the detection value exceeds a preset threshold value, and the above-mentioned.
  • the detection value of at least one of the plurality of detection elements exceeds the threshold value, the type of odor is determined based on the odor pattern in which the plurality of detection values acquired by the acquisition unit are patterned. It includes an odor determination unit for determining, and a determination unit for determining a corresponding process corresponding to the type of odor determined by the odor determination unit.
  • the present invention for example, based on the determination result of the odor type, it is possible to automatically execute the process corresponding to the odor type.
  • FIG. 1 is a diagram showing an example of an outline configuration of an odor determination system according to a first embodiment.
  • FIG. 2 is a diagram showing an example of a configuration of an odor sensor included in the odor determination system according to the first embodiment.
  • FIG. 3 is a diagram showing an example of a detection value output from an odor sensor included in the odor determination system according to the first embodiment.
  • FIG. 4 is a diagram for explaining an example of a determination information generation process in the cloud of the odor determination system according to the first embodiment.
  • FIG. 5 is a diagram showing an example of the hardware configuration of the SCU included in the odor determination system according to the first embodiment.
  • FIG. 6 is a diagram showing an example of a cloud hardware configuration included in the odor determination system according to the first embodiment.
  • FIG. 1 is a diagram showing an example of an outline configuration of an odor determination system according to a first embodiment.
  • FIG. 2 is a diagram showing an example of a configuration of an odor sensor included in the odor determination system according
  • FIG. 7A is a diagram showing an example of a cloud functional configuration included in the odor determination system according to the first embodiment.
  • FIG. 7B is a diagram for explaining an example of an external device control module and an external device included in the odor determination system according to the first embodiment.
  • FIG. 8 is a flowchart showing an example of a flow of determination processing of correspondence processing by the cloud included in the odor determination system according to the first embodiment.
  • FIG. 9 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for an automatic vacuum cleaner robot.
  • FIG. 10 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for a deodorizing system in a hotel room.
  • FIG. 11 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for an exhaust system of a restaurant.
  • FIG. 12 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used as a measure against bad breath.
  • FIG. 13 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for risk prediction of an important facility.
  • FIG. 14 is a flowchart showing another example of the flow of the process of determining the corresponding process by the cloud included in the odor determination system according to the second embodiment.
  • FIG. 15 is a flowchart showing another example of the flow of the process of determining the corresponding process by the cloud included in the odor determination system according to the third embodiment.
  • FIG. 16 is a diagram showing an example of the functional configuration of the SCU included in the odor determination system according to the fourth embodiment.
  • FIG. 1 is a diagram showing an example of an outline configuration of an odor determination system according to a first embodiment.
  • the odor determination system 10 determines the type of odor.
  • the type of odor is a type of odor existing in various environments, such as an odor existing in air, an odor existing in gas, and an odor existing in a housing.
  • the odor determination system 10 determines a process corresponding to the type of odor (hereinafter referred to as a corresponding process) based on the determination result.
  • the odor determination system 10 includes a plurality of odor sensors 11, a SCU 12, a cloud 13, an external device control module 14, a mobile terminal 15, and an external device X.
  • the odor sensor 11 and the SCU 12 are connected to each other so as to be able to communicate with each other via a communication means L1 such as NFC (Near Field Communication) or Bluetooth (registered trademark). Further, the SCU 12, the cloud 13, the external device control module 14, and the mobile terminal 15 are connected to each other via a communication means L2 such as a LAN (Local Area Network), a dedicated line such as a wireless LAN, or a public line such as the Internet. , Connected to communicate with each other.
  • a communication means L1 such as NFC (Near Field Communication) or Bluetooth (registered trademark).
  • the SCU 12, the cloud 13, the external device control module 14, and the mobile terminal 15 are connected to each other via a communication means L2 such as a LAN (Local Area Network), a dedicated line such as a wireless LAN, or a public line such as the Internet.
  • the odor sensor 11 is a sensor that detects the mass of the odor-causing substance and the like.
  • the SCU (Sensor Control Unit) 12 is a single board computer, a personal computer, or the like, and controls the detection of the mass of the odor-causing substance by the odor sensor 11. Further, the SCU 12 has a communication function between the odor sensor 11 and the cloud 13 (for example, wireless communication by Wi-Fi (registered trademark), Bluetooth (registered trademark), Zigbee (registered trademark), etc.), or the cloud 13 and a mobile terminal. It has a communication function with 15 (for example, 4G line or LAN: Local Area Network).
  • the cloud 13 acquires the detection result such as the mass of the odor-causing substance by the odor sensor 11 via the SCU 12, determines the type of odor based on the detection result, and determines the corresponding processing corresponding to the determination result. do.
  • the external device control module 14 is a single board computer, an I / O expansion board, or the like, and acquires the determination result of the type of odor and the determination result of the corresponding processing from the cloud 13 and instructs the execution of the acquired corresponding processing.
  • the control signal is transmitted to the external device X.
  • the mobile terminal 15 executes the user's login to the odor determination system 10, the acquisition of the odor type determination result from the cloud 13, and the determination result of the corresponding processing.
  • FIG. 2 is a diagram showing an example of the configuration of the odor sensor included in the odor determination system according to the first embodiment.
  • the odor sensor 11 has a detection element such as a QCM (Quartz Crystal Microbalance) sensor, and is a sensor capable of detecting a value related to the odor-causing substance (hereinafter referred to as a detected value) such as the mass of the odor-causing substance. ..
  • the detection element included in the odor sensor 11 is not limited to the QCM sensor as long as it is a detection element capable of detecting the detected value related to the odor-causing substance, and is a sensor of another type such as a gas sensor using a semiconductor thin film. Is also good.
  • the odor sensor 11 has a support portion 110, a plurality of detection elements F1 to F16, and a drive detection circuit 111.
  • 16 detection elements F are attached to the support portion 110.
  • the detection element F when it is not necessary to distinguish the detection elements F1 to F16, it is described as the detection element F.
  • the plurality of detection elements F1 to F16 each detect the mass of the causative substance of a different type of gas.
  • the detection element F includes a crystal oscillator, two electrodes, and an adsorption film. A part of the side surface of the crystal oscillator is oscillatedly held by the support portion 110.
  • the two electrodes are provided on the planes on both sides of the crystal unit. Further, an AC voltage is applied to the two electrodes from the drive detection circuit 111.
  • the adsorption film is provided on at least one of the planes of the crystal unit.
  • the adsorption membrane adsorbs a specific causative substance.
  • Each of the plurality of detection elements F1 to F16 has an adsorption film that adsorbs causative substances having different chemical properties.
  • the crystal oscillator vibrates due to the piezoelectric effect.
  • the resonance frequency of the crystal unit is determined by the mass and viscoelasticity of the causative substance adhering to the adsorption film. Therefore, when the causative substance is adsorbed on the adsorption film and the mass changes, the resonance frequency of the detection element F changes according to the change in the mass of the adsorbed causative substance.
  • the drive detection circuit 111 applies an AC voltage to at least one detection element F to detect a change in the resonance frequency of the detection element F per unit time. As a result, the drive detection circuit 111 can detect the mass of the odor-causing substance for each detection element F.
  • the odor sensor 11 transmits the change in the resonance frequency detected by the drive detection circuit 111 to the SCU 12 via the communication means L1 as a detection value.
  • the odor sensor 11 transmits the change in the resonance frequency detected by the drive detection circuit 111 to the SCU 12 as a detection value, but transmits a value related to the odor-causing substance as a detection value. If there is, the present invention is not limited to this, and for example, a change in the resistance value of the detection element F may be transmitted to the SCU 12 as a detection value.
  • FIG. 3 is a diagram showing an example of the detected value output from the odor sensor included in the odor determination system according to the first embodiment.
  • the odor sensor 11 may output data (hereinafter referred to as an odor pattern) in which the detection values output from each of the detection elements F1 to F16 are patterned.
  • the odor pattern output by the odor sensor 11 has a wide variety of odor patterns according to the detection values output from each of the detection elements F1 to F16.
  • the odor sensor 11 has 16 types of detection elements F
  • the present invention is not limited to this, and the number of detection elements F is less than 16 types or more than 16 types. May have.
  • the odor sensor 11 has more detection elements F, so that the accuracy of determining the type of odor can be improved.
  • the cloud 13 receives the detected value output from the odor sensor 11 via the SCU 12.
  • the cloud 13 stores determination information indicating the type of odor indicated by the detected value in association with the detected value output from the odor sensor 11.
  • the cloud 13 determines the type of odor corresponding to the detected value received from the odor sensor 11 based on the determination information stored in association with the received detected value. Further, the cloud 13 determines the intensity of the odor based on the rate of change of the detected value per unit time output from the detection element F. The greater the rate of change in the detected value per unit time, the stronger the odor.
  • the cloud 13 In the initial state in which the determination information is not stored, the cloud 13 generates determination information indicating one type of odor indicated by the detection value based on the detection value received from the odor sensor 11.
  • the cloud 13 performs multivariate analysis using, for example, a neural network, and generates determination information indicating one type of odor indicated by the detected value.
  • FIG. 4 is a diagram for explaining an example of the determination information generation process in the cloud of the odor determination system according to the first embodiment.
  • the cloud 13 uses a neural network having an input layer N1, an intermediate layer N2, and an output layer N3 to generate determination information indicating one type of odor corresponding to the received detected value.
  • the input layer N1 receives the detected value from the odor sensor 11.
  • the intermediate layer N2 extracts the feature amount of the odor type from the detected values received from the input layer N1.
  • the feature amount is an amount that can distinguish the difference from other odor types.
  • the output layer N3 outputs the type of odor indicated by the feature amount extracted in the intermediate layer N2 as determination information.
  • the cloud 13 After generating the judgment information, the cloud 13 updates the judgment information with the judgment information whose accuracy is improved by the learning process.
  • the cloud 13 may execute the learning process a plurality of times in order to improve the accuracy of the determination information.
  • a plurality of odor-causing substances may be mixed in the odor-causing substances detected by the detection element F included in the odor sensor 11.
  • the type of odor determined by the cloud 13 may not always match the odor actually felt by the human sense of smell. This often has a problem with the feature amount of the type of odor extracted in the intermediate layer N2. Therefore, the cloud 13 extracts the feature amount corresponding to the type of odor perceived by the human sense of smell by modifying the feature amount output from the intermediate layer N2.
  • the cloud 13 uses a neural network to determine the type of odor corresponding to the detected value received from the odor sensor 11, but the cloud 13 is not limited to this, and is not limited to this, for example, pattern matching. Or SVN may be used to determine the type of odor corresponding to the detected value received from the odor sensor 11.
  • FIG. 5 is a diagram showing an example of the hardware configuration of the SCU included in the odor determination system according to the first embodiment.
  • the SCU 12 has a CPU (Central Processing Unit) 121, a ROM (Read Only Memory) 122, a RAM (Random Access Memory) 123, and a memory unit 124.
  • CPU Central Processing Unit
  • ROM Read Only Memory
  • RAM Random Access Memory
  • the CPU 121 controls the entire SCU 12.
  • the ROM 122 and the memory unit 124 store various programs.
  • the RAM 123 temporarily stores various data.
  • the CPU 121, ROM 122, RAM 123, and memory unit 124 are connected to each other via the data bus 125.
  • the CPU 121 expands various programs stored in the ROM 122 and the memory unit 124 into the RAM 123, and executes the expanded various programs to control the entire SCU 12.
  • the CPU 121 is connected to the operation unit 127 and the display unit 128 via the data bus 125 and the controller 126.
  • the operation unit 127 is a keyboard for the operator to operate and input data.
  • the display unit 128 is composed of, for example, a liquid crystal display, and displays information to the operator of the SCU 12.
  • the CPU 121 is connected to the communication I / F 129 via the data bus 125.
  • the communication I / F 129 is connected to the communication means L1 and the communication means L2.
  • the communication I / F 129 can communicate with the odor sensor 11 via the communication means L1, and receives various information such as a detected value from the odor sensor 11.
  • the communication I / F 129 can communicate with the cloud 13 via the communication means L2, and receives various information from the cloud 13 such as teacher data and corrected determination information.
  • the communication I / F 129 also transmits various information such as a detection value of the detection element F to the cloud 13 via the communication means L2.
  • the communication I / F 129 can communicate with the mobile terminal 15.
  • FIG. 6 is a diagram showing an example of a cloud hardware configuration of the odor determination system according to the first embodiment.
  • the cloud 13 has a CPU 131, a ROM 132, a RAM 133, and a memory unit 134.
  • the CPU 131 controls the entire cloud 13.
  • the ROM 132 and the memory unit 134 store various programs.
  • the RAM 133 temporarily stores various data.
  • the CPU 131, ROM 132, RAM 133, and memory unit 134 are connected to each other via the data bus 135.
  • the CPU 131 expands various programs stored in the ROM 132 and the memory unit 134 into the RAM 133, and executes the expanded various programs to control the entire cloud 13.
  • the CPU 131 is connected to the operation unit 137 and the display unit 138 via the data bus 135 and the controller 136.
  • the operation unit 137 is a keyboard for the operator to operate and input data.
  • the display unit 138 is composed of, for example, a liquid crystal display, and displays information to the operator of the cloud 13.
  • the CPU 131 is connected to the communication I / F 139 via the data bus 135.
  • the communication I / F 139 is connected to the communication means L2.
  • the communication I / F 139 can communicate with the SCU 12 via the communication means L2, and receives information (for example, a detection value of the detection element F) from the SCU 12. Further, the communication I / F 139 transmits information to the SCU 12 via the communication means L2.
  • FIG. 7A is a diagram showing an example of a cloud functional configuration included in the odor determination system according to the first embodiment.
  • the CPU 131 expands various programs stored in the ROM 132 or the memory unit 134 into the RAM 133, and executes the expanded various programs to execute the acquisition unit 701, the determination unit 702, the odor determination unit 703, and the odor determination unit 703. It functions as a determination unit 704.
  • the CPU 131 is an example of an odor determination device.
  • the acquisition unit 701, the determination unit 702, the odor determination unit 703, and the determination unit 704 are realized in the cloud 13, but the acquisition unit 701, the determination unit 702, the odor determination unit 703, and the determination unit 704 It is also possible to realize a part or all of the above in an external device (for example, SCU 12) of the cloud 13.
  • an external device for example, SCU 12
  • the acquisition unit 701 acquires the detection values obtained from each of the plurality of detection elements F from the plurality of odor sensors 11. In the present embodiment, the acquisition unit 701 acquires the odor pattern of the detection value of the plurality of detection elements F possessed by each of the plurality of odor sensors 11 from the plurality of odor sensors 11 via the SCU 12.
  • the determination unit 702 determines whether or not the detection value acquired by the acquisition unit 701 exceeds a predetermined threshold value.
  • the predetermined threshold value is a preset threshold value.
  • the predetermined threshold value is the threshold value of the detection value for determining the presence of the odor-causing substance.
  • the odor determination unit 703 determines by the determination unit 702 that at least one of the plurality of detected values exceeds a predetermined threshold value, the odor determination unit 703 determines that the plurality of detected values exceed a predetermined threshold value, and the odor determination unit 703 is based on an odor pattern in which the plurality of detected values are patterned. Judge the type of. In the present embodiment, the odor determination unit 703 determines the type of odor based on the odor pattern, but if the type of odor is determined based on the detection values of the plurality of detection elements F, the odor determination unit 703 determines the type of odor. It is not limited to this. For example, the odor determination unit 703 extracts the feature amount of the odor type from the plurality of detected values acquired by the acquisition unit 701, and determines the odor type based on the feature amount.
  • the determination unit 704 determines the corresponding processing corresponding to the type of odor determined by the odor determination unit 703. As a result, when it is determined that an odor is present, the corresponding processing corresponding to the odor type can be automatically executed based on the determination result of the odor type.
  • the determination unit 704 determines spraying of a deodorant, ventilation, generation of ozone, operation of an air purifier, etc. as a response process corresponding to an odor determined as a type of odor by the odor determination unit 703.
  • the determination unit 704 publishes the determination result of the type of odor and the determination result of the corresponding processing to the external device control module 14 and the mobile terminal 15 by the Web API (Application Programming Interface) or the like.
  • the external device control module 14 and the mobile terminal 15 can acquire the determination result of the type of odor and the determination result of the corresponding processing.
  • the external device control module 14 acquires the determination result of the corresponding process published by the determination unit 704 at a preset cycle.
  • the external device control module 14 functions as an example of a control unit that outputs the acquired control information instructing the execution of the corresponding processing to the external device X.
  • the external device control module 14 has a control program that turns on a relay that can instruct the external device X to execute the determined corresponding processing among the relays of a plurality of channels (for example, four channels) of the relay output board. Execute.
  • FIG. 7B is a diagram for explaining an example of an external device control module and an external device included in the odor determination system according to the first embodiment.
  • the external device control module 14 has a single board computer, a relay output board, and the like. Then, as shown in FIG. 7B, the external device control module 14 acquires the determination result of the corresponding processing by the determination unit 704 of the cloud 13 via the SCU 12. Next, the external device control module 14 turns on the relay capable of instructing the external device X to execute the determined response process among the relays of the plurality of channels of the relay output board based on the acquired determination result of the response process. do. As shown in FIG. 7B, the external device X executes a corresponding process (for example, spraying a deodorant) corresponding to the relay turned on by the external device control module 14.
  • a corresponding process for example, spraying a deodorant
  • FIG. 8 is a flowchart showing an example of a flow of determination processing of correspondence processing by the cloud included in the odor determination system according to the first embodiment.
  • the acquisition unit 701 acquires the detection values of the plurality of detection elements F from the plurality of odor sensors 11 via the SCU 12 (step S801).
  • the acquisition unit 701 acquires the detection values of the plurality of detection elements F from the plurality of odor sensors 11 at a preset cycle.
  • the determination unit 702 determines whether or not the detection value of the detection element F exceeds a predetermined threshold value each time the detection value is acquired by the acquisition unit 701 (step S802).
  • step S802 determines that the odor does not exist, and ends the determination process of the corresponding process.
  • step S802 when the detection value of at least one detection element F among the plurality of detection elements F exceeds a predetermined threshold value (step S802: Yes), the odor determination unit 703 is based on the detection values of the plurality of detection elements F. , The type of odor is determined (step S803).
  • the determination unit 704 determines the corresponding process corresponding to the determined odor type based on the determination result of the odor type by the odor determination unit 703 (step S804).
  • FIG. 9 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for an automatic vacuum cleaner robot.
  • FIG. 10 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for a deodorizing system in a hotel room.
  • FIG. 11 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for an exhaust system of a restaurant.
  • FIG. 12 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used as a measure against bad breath.
  • FIG. 13 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for risk prediction of an important facility.
  • the odor determination system 10 when used as a deodorizing measure for the odor discharged from the factory, the odor sensor 11 is installed in the exhaust duct of the factory. Then, when the detection value of the detection element F included in the odor sensor 11 exceeds a predetermined threshold value, the odor determination unit 703 of the cloud 13 determines the type of odor based on the plurality of detection values. Next, the determination unit 704 of the cloud 13 determines the process of spraying the deodorant corresponding to the determined odor type as the corresponding process.
  • the odor determination system 10 when used for controlling the automatic vacuum cleaner robot 900, the odor sensor 11 is mounted on the automatic vacuum cleaner robot 900 as shown in FIG. Then, when the detection value of the detection element F of the odor sensor 11 exceeds a predetermined threshold value while the automatic vacuum cleaner robot 900 is cleaning, the odor determination unit 703 of the cloud 13 determines the odor based on a plurality of detection values. Judge the type of. Next, the determination unit 704 of the cloud 13 determines the corresponding process for spraying the deodorant corresponding to the determined odor type, and causes the automatic vacuum cleaner robot 900 to execute the corresponding process.
  • the determination unit 704 of the cloud 13 creates an air flow by blowing air. Ventilation can also be determined as a corresponding process.
  • the odor determination system 10 when used as a deodorizing system in a hotel room, an odor sensor 11 is installed in the hotel room as shown in FIG. Then, when the detection value of the detection element F of the odor sensor 11 exceeds a predetermined threshold value after the customer checks out the hotel, the odor determination unit 703 of the cloud 13 determines the odor based on the plurality of detection values. Judge the type of. Next, the determination unit 704 of the cloud 13 determines the spraying of the deodorant corresponding to the determined odor type or the generation of ozone as the corresponding process. As a result, it is not necessary for the hotel employee to confirm the odor of the hotel guest room and perform the processing corresponding to the confirmed odor, so that the labor saving of the hotel employee can be achieved.
  • the exhaust from each restaurant 1101-1109 is often exhausted to the outside at once. Therefore, when the filter of the exhaust equipment of a certain restaurant (for example, restaurant 1101) deteriorates or breaks down and the exhaust of that restaurant is exhausted to the outside, the exhaust equipment of any restaurant deteriorates or breaks down. It is difficult to identify what is happening, and it takes time to improve it.
  • a certain restaurant for example, restaurant 1101
  • the exhaust equipment of any restaurant deteriorates or breaks down. It is difficult to identify what is happening, and it takes time to improve it.
  • the odor determination system 10 when used as a countermeasure against odors exhausted from the building 1100 containing a plurality of restaurants 1101 to 1109, as shown in FIG. 11, a duct that exhausts air to the outside of the building 1100.
  • the odor sensor 11 is installed in 1110. Then, when the detection value of the detection element F included in the odor sensor 11 exceeds a predetermined threshold value, the odor determination unit 703 of the cloud 13 determines the type of odor based on the plurality of detection values. Next, the determination unit 704 of the cloud 13 identifies the restaurant (for example, restaurant 1101) that is generating the odor based on the determined type of odor, and notifies the restaurant 1101 to improve the odor.
  • the restaurant for example, restaurant 1101
  • the process to be performed is determined as the corresponding process.
  • the restaurant 1101 can immediately repair the exhaust equipment, and the time required for improving the odor exhausted from the building 1100 can be shortened.
  • the determination unit 704 of the cloud 13 may acquire the information of the smart meters of each restaurant 1101 to 1109 and identify the restaurant generating the odor from the operating restaurants. ..
  • the odor determination system 10 when the odor determination system 10 according to the present embodiment is used for process control of a food factory that manufactures food, an odor sensor 11 is installed on the line of the food factory. Then, when the detection value of the detection element F included in the odor sensor 11 exceeds a predetermined threshold value, the odor determination unit 703 of the cloud 13 determines the type of odor based on the plurality of detection values. Next, the determination unit 704 of the cloud 13 determines the corresponding processing corresponding to the determined odor type.
  • the determination unit 704 of the cloud 13 stops the device that generates the burnt odor among the devices of the food factory when the burnt odor generated during cooking of the food is determined to be the type of odor. Is determined as the corresponding process. Further, the determination unit 704 of the cloud 13 determines in the corresponding process an alert notifying that the odor generated by the spoilage of the food is generated by the spoilage of the food when the odor generated by the spoilage of the food is determined by the type of the odor. .. Further, when the scent of the beast is determined to be the type of scent, the determination unit 704 of the cloud 13 determines an alert notifying that the beast is occurring in the corresponding process.
  • the odor determination system 10 when used as a measure against bad breath, an odor sensor 11 is installed in an office or hotel in the hospitality industry as shown in FIG. Then, when the detection value of the detection element F possessed by the odor sensor 11 when the odor sensor 11 is blown with exhaled air, the odor determination unit 703 of the cloud 13 exceeds a predetermined threshold value, the odor determination unit 703 is based on the plurality of detection values. Judge the type of. At that time, the odor determination unit 703 is made to input the food eaten by the subject, the presence or absence of alcohol intake, the body odor of the subject, the photograph of the mouth of the subject, etc., and adds the input information to the type of odor. May be determined. Next, the determination unit 704 of the cloud 13 determines the corresponding processing corresponding to the determined odor type.
  • the determination unit 704 of the cloud 13 determines the notification process for urging the use of mouthwash for garlic as the corresponding process. Further, when the odor of periodontal disease is determined to be the type of odor, the determination unit 704 of the cloud 13 determines the notification process for encouraging the use of the mouthwash 1203 for treating the periodontal disease as the corresponding process. Further, when the bad breath due to indigestion is determined to be the type of odor, the determination unit 704 of the cloud 13 determines the notification process for encouraging the use of a stomach medicine or an intestinal regulator as a corresponding process. Further, as shown in FIG.
  • the determination unit 704 of the cloud 13 determines the process of displaying the degree of inconvenience caused by the determined odor type to the other party on the display device 1202 as the corresponding process. Further, in the determination unit 704 of the cloud 13, when the determined odor type is the mouthwash 1203 or the odor type that cannot be deodorized by the prescription of the medicine, the distance at which the bad breath does not affect the other party, the mouthwash 1203, or the like. The process of displaying the time when the effect of prescribing the drug disappears on the display device 1202 may be determined as the corresponding process.
  • the odor determination system 10 when the odor determination system 10 according to the present embodiment is also used as a measure against body odor, the odor sensor 11 is installed in a closed space (for example, a room) installed in an office in the hospitality industry, a hotel, a running station, or the like. .. Then, when the detection value of the detection element F possessed by the odor sensor 11 when the subject enters the closed space, the odor determination unit 703 of the cloud 13 exceeds a predetermined threshold value, the odor determination unit 703 is based on a plurality of detection values. Judge the type of. Next, the determination unit 704 of the cloud 13 determines the corresponding processing corresponding to the determined odor type.
  • a closed space for example, a room
  • the odor determination unit 703 of the cloud 13 exceeds a predetermined threshold value
  • the odor determination unit 703 is based on a plurality of detection values. Judge the type of.
  • the determination unit 704 of the cloud 13 determines the corresponding processing corresponding to the
  • the determination unit 704 of the cloud 13 determines the spraying of the deodorant spray as the corresponding process. Further, the determination unit 704 of the cloud 13 determines the spraying of the antibacterial spray as the corresponding treatment when the odor due to the dryness of the clothes is determined to be the type of odor. Further, when the odor of the axillary odor is determined to be the type of odor, the determination unit 704 of the cloud 13 determines the spraying of the deodorant spray centering on the axilla as the corresponding process.
  • the determination unit 704 of the cloud 13 determines the spraying of the deodorant spray centering on the foot as the corresponding process. Further, when the odor of the scalp is determined to be the type of odor, the determination unit 704 of the cloud 13 determines the spraying of the fragrance for hair as a corresponding process.
  • the odor determination system 10 when used for risk prediction of a data center 1301, a power plant, or a substation 1302, as shown in FIG. 13, an information processing device 1301a installed in the data center 1301 or , The odor sensor 11 is installed on the distribution board 1302a, the distribution board 1302b, and the control board 1302c of the power plant or the substation 1302. Then, when the detection value of the detection element F included in the odor sensor 11 exceeds a predetermined threshold value, the odor determination unit 703 of the cloud 13 determines the type of odor based on the plurality of detection values. Next, the determination unit 704 of the cloud 13 determines in the response process an alert notifying that a fire may occur when the odor of burning wiring is determined as the type of odor.
  • the odor determination system 10 when smoke is detected by a smoke detector installed in the data center 1301, it is necessary for a person to enter the data center 1301 in order to identify the place where the smoke is emitted in the data center 1301. ..
  • the odor determination system 10 if the location of the detection element F that detects the detected value of the determined odor type is specified, the location where smoke is generated in the data center 1301 can be determined. It can be easily identified.
  • the odor determination system 10 since it is difficult for smoke to be emitted from the wiring existing in the power plant or substation 1302, depending on the smoke detector, it may not be possible to detect smoke from the wiring until the damage becomes large.
  • the odor sensor 11 if the odor sensor 11 is installed in the power plant or the substation 1302, it is possible to execute the processing for dealing with the scorching of the wiring before the damage becomes large. ..
  • a dust sensor that measures particles in the air with light is used to detect the generation of smoke, so that the accuracy of the processing for dealing with the scorching of the wiring can be determined. And the time until the corresponding process is executed can be shortened.
  • the odor determination system 10 it is possible to automatically execute the corresponding processing corresponding to the odor type based on the determination result of the odor type.
  • the determination unit 704 of the cloud 13 obtains the degree of similarity between the odor pattern in which a plurality of detected values are patterned and the reference pattern.
  • the reference pattern is a pattern that is preset for each candidate for the type of odor to be determined and serves as a reference for the odor pattern.
  • the determination unit 704 determines the corresponding processing when the obtained similarity is equal to or higher than the predetermined similarity.
  • the predetermined similarity is a preset similarity, which is a lower limit value (for example, 50%) of the similarity for executing the corresponding process.
  • the determination unit 704 does not determine the corresponding processing when the obtained similarity is less than the predetermined similarity. For example, when the response process differs depending on the cause of the fire that is causing the odor, if the wrong response process is executed, the fire may be exacerbated. Therefore, as described above, the determination unit 704 determines the corresponding process when the obtained similarity is equal to or higher than the predetermined similarity.
  • the similarity between the odor pattern and the reference pattern A is 34%
  • the similarity between the odor pattern and the reference pattern B is 33%
  • the similarity between the odor pattern and the reference pattern C is 33%.
  • the type of odor is likely to be the type of odor of reference pattern A, but is also close to the type of odor of reference patterns B and C.
  • the determination unit 704 does not determine the corresponding processing because the similarity between the odor pattern and each of the reference patterns A to C is less than the predetermined similarity. Then, the acquisition unit 701 described above reacquires the detection values of the plurality of detection elements F. Further, when the degree of similarity is less than a predetermined degree of similarity, the odor determination unit 703 redetermines the type of odor based on a plurality of newly acquired detected values. As a result, when the similarity between the odor pattern and the reference patterns A to C is low and the reliability of the odor type determination result is low, the odor type is re-determined and the odor type determination result with high reliability is obtained. Based on this, the corresponding processing can be determined. As a result, it becomes possible to execute a corresponding process that is more suitable for the determination result of the type of odor.
  • the odor determination unit 703 determines the odor type candidate corresponding to the reference pattern having the highest degree of similarity consecutively a preset number of times among the plurality of reference patterns A to C as the odor type. Is also possible. That is, among the plurality of reference patterns A to C, the odor type candidate corresponding to the reference pattern having the highest similarity consecutively a preset number of times is the odor type determination result by the odor determination unit 703. .. For example, when the similarity between the odor pattern and the reference pattern A is the highest among the similarity between the odor pattern and the reference patterns A to C for a preset number of times in a row, the odor determination unit 703 may perform the odor determination unit 703.
  • the candidate of the odor type corresponding to the reference pattern A is determined as the odor type.
  • the corresponding processing can be determined based on the determination result of the more reliable odor type based on the similarity between the odor pattern and each of the reference patterns A to C.
  • the odor determination unit 703 determines the degree of similarity among the plurality of reference patterns A to C.
  • the odor type candidate corresponding to the highest reference pattern in succession for a preset number of times shall be determined as the odor type.
  • the determination unit 704 can change the corresponding processing according to the obtained similarity. For example, when the corresponding treatment is spraying a deodorant, the determination unit 704 changes to a corresponding treatment in which the amount of the deodorant to be sprayed increases as the obtained similarity increases. Further, when the corresponding treatment is the generation of ozone, the determination unit 704 changes to the corresponding treatment in which the amount of ozone generated is large as the obtained similarity becomes large. Further, when the corresponding process is the operation of the air purifier, the determination unit 704 changes the operating time of the air purifier to the longer corresponding process as the obtained similarity increases.
  • the determination unit 704 is determined by the plurality of determined odor types. It is also possible to change the determined correspondence process based on the relationship between the correspondence processes of. As a result, when a plurality of odor types are determined by the odor determination unit 703 and corresponding processes corresponding to each of the plurality of odor types are determined, if they are executed at the same time, the odors and the like are deteriorated. It is possible to prevent the processes from being executed at the same time.
  • the determination unit 704 executes one of the determined plurality of corresponding processes. At that time, the determination unit 704 selects the corresponding process corresponding to the type of odor of the reference pattern having the highest degree of similarity to the odor pattern among the plurality of determined corresponding processes. Alternatively, if the odor or the like deteriorates when a plurality of determined corresponding processes are executed at the same time, the determination unit 704 can discard the determined result of the corresponding process.
  • the determination unit 704 can change the determined response process based on at least one of the temperature and humidity of the installation location of the detection element F. For example, the determination unit 704 acquires the temperature and humidity of the location where the detection element F is installed from the sensor installed near the detection element F. Then, when the acquired temperature or humidity belongs to a predetermined temperature or humidity range, the determination unit 704 changes the corresponding process (for example, discards the corresponding process).
  • the predetermined temperature or humidity range is a preset temperature or humidity range.
  • FIG. 14 is a flowchart showing another example of the flow of the process of determining the corresponding process by the cloud included in the odor determination system according to the second embodiment.
  • steps S801 to S803 shown in FIG. 14 are the same as those in FIG. 8, the description thereof will be omitted.
  • the determination unit 704 determines the degree of similarity between the odor pattern and each of the plurality of reference patterns (for example, the three reference patterns A to C) (step S1401).
  • the determination unit 704 obtains the similarity between each of the three reference patterns A to C and the odor pattern, but may obtain the similarity between the plurality of reference patterns and the odor pattern. For example, it is not limited to this.
  • the determination unit 704 determines whether or not the obtained similarity is equal to or higher than the predetermined similarity for each type of odor corresponding to each of the plurality of reference patterns (step S1402). Then, the determination unit 704 determines the corresponding processing corresponding to the type of odor for the type of odor determined that the obtained similarity is equal to or higher than the predetermined degree of similarity (step S1402: Yes) (step S1403). .. On the other hand, the determination unit 704 does not determine the corresponding processing corresponding to the type of odor for the type of odor determined that the obtained similarity is less than the predetermined degree of similarity (step S1402: No).
  • the odor determination system 10 As described above, according to the odor determination system 10 according to the second embodiment, it is possible to prevent the erroneous response process from being determined due to fluctuations in the measurement error of the detected value by the detection element F, and thus the erroneous response process. Is performed to prevent the odor from getting worse.
  • This embodiment is an example of determining the corresponding processing based on the number of times that the same odor type is determined. In the following description, description of the same configuration as that of the first embodiment will be omitted.
  • the predetermined number of times is a preset number of times, and is a number of times for which the odor determination unit 703 determines with high reliability the determination result of the type of odor.
  • the response process is not executed for the temporarily generated odor, and the response process (for example, spraying of deodorant) is executed when the odor is continuously generated for a certain period of time. It is possible to reduce the load on the external device X (for example, the deodorant sprayer) due to the execution of the corresponding processing for the temporarily generated odor.
  • the determination unit 704 determines the corresponding processing based on the number of times that the same odor type is determined, but the present invention is not limited to this.
  • the determination unit 704 may determine the corresponding process based on the time during which the same odor type continues to be determined.
  • the determination unit 704 determines the corresponding processing corresponding to the type of odor when the same type of odor continues to be determined for a predetermined time. On the other hand, the determination unit 704 does not determine the corresponding process when the time during which the same odor type continues to be determined is less than a predetermined time. As a result, the response process is not executed for the temporarily generated odor, and the response process is executed when the odor is continuously generated for a certain period of time, so that the response process is temporarily generated. It is possible to reduce the load on the external device X due to the execution of the corresponding processing for the odor.
  • FIG. 15 is a flowchart showing another example of the flow of the process of determining the corresponding process by the cloud included in the odor determination system according to the third embodiment.
  • steps S801 to S803 shown in FIG. 15 are the same as those in FIG. 8, the description thereof will be omitted.
  • the determination unit 704 determines whether or not the same odor type has been determined consecutively for a predetermined number of times n (for example, three times) or more for each odor type determined by the odor determination unit 703 (step S1501). ).
  • step S1501 When it is determined that the same odor type is determined by the odor determination unit 703 (step S1501: Yes) in succession for a predetermined number of times n or more, the determination unit 704 corresponds to the odor type determined by the odor determination unit 703. The corresponding processing to be performed is determined (step S1502).
  • step S1501: No when it is determined that the same odor type is not determined by the odor determination unit 703 for a predetermined number of times n or more (step S1501: No), the determination unit 704 determines the odor by the odor determination unit 703. Do not determine the corresponding processing corresponding to the type of.
  • the odor determination system 10 it is possible to prevent the response process from being determined based on the determination result of the wrong odor type, so that an appropriate response process for the odor can be suppressed. Can be more likely to be executed.
  • the response process is not executed for the temporarily generated odor, and the response process is executed when the odor is continuously generated for a certain period of time, so that the temporarily generated odor is generated. It is possible to reduce the load on the external device X due to the corresponding processing being executed.
  • This embodiment is an example of determining a corresponding process corresponding to the type of odor in SCU.
  • the description of the same parts as those in the first to third embodiments will be omitted.
  • FIG. 16 is a diagram showing an example of the functional configuration of the SCU included in the odor determination system according to the fourth embodiment.
  • the CPU 121 expands various programs stored in the ROM 122 or the memory unit 124 into the RAM 123, and executes the expanded various programs to execute the acquisition unit 701, the determination unit 702, the odor determination unit 703, and the odor determination unit 703. It functions as a determination unit 704.
  • the CPU 121 is an example of an odor determination device.
  • the type of odor is determined and the determination is made. Corresponding processing corresponding to the type of odor can be executed.
  • the odor determination unit 703 shall download in advance the determination information generated by the learning process in the cloud 13 from the cloud 13. Then, the odor determination unit 703 determines the type of odor based on the detection values of the plurality of detection elements F by using the downloaded determination information.
  • the determination unit 704 shall disclose the determination result of the type of odor and the determination result of the corresponding processing to the external device control module 14 and the mobile terminal 15 by the Web API or the like.
  • the SCU 12 and the external device control module 14 are realized by separate devices, but when the SCU 12 is connected to an I / O expansion board or a relay output board connected to the external device X. Can realize the function of the external device control module 14 in the SCU 12.
  • the SCU 12 is mounted in a dedicated housing like a commercially available gateway and it is difficult to connect to the I / O expansion board or relay output board, the SCU 12 and the external device control module 14 are separated devices. Need to be realized by.
  • the SCU 12 is not connected to the network and cannot communicate with the cloud 13 (for example, the SCU 12 is mounted on a car or a ship.
  • the type of odor can be determined, and the corresponding processing corresponding to the determined type of odor can be executed.
  • the program executed by the odor determination system 10 of the present embodiment is provided by being incorporated in a ROM or the like in advance.
  • the program executed by the odor determination system 10 of the present embodiment is a computer in an installable format or an executable format, such as a CD-ROM, a flexible disk (FD), a CD-R, or a DVD (Digital Versatile Disk). It may be configured to be recorded and provided on a recording medium that can be read by.
  • the program executed by the odor determination system 10 of the present embodiment may be stored on a computer connected to a network such as the Internet and provided by downloading via the network. Further, the program executed by the odor determination system 10 of the present embodiment may be configured to be provided or distributed via a network such as the Internet.
  • the program executed by the odor determination system 10 of the present embodiment has a modular configuration including the above-mentioned parts (acquisition unit 701, determination unit 702, odor determination unit 703, determination unit 704), and is used as actual hardware.
  • acquisition unit 701, determination unit 702, odor determination unit 703, determination unit 704 When the CPU reads the program from the ROM and executes the program, each of the above units is loaded on the main storage device, and the acquisition unit 701, the determination unit 702, the odor determination unit 703, and the determination unit 704 are generated on the main storage device. It has become like.
  • Smell judgment system 11 Smell sensor 12 SCU 13 Cloud 14 External device control module 15 Mobile terminal 121,131 CPU 122,132 ROM 123,133 RAM 124,134 Memory unit 125,135 Data bus 126,136 Controller 127,137 Operation unit 128,138 Display unit 129,139 Communication I / F 701 Acquisition unit 702 Judgment unit 703 Smell judgment unit 704 Determining unit F Detection element X External device

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Abstract

A smell decision device according to an embodiment is provided with: an acquisition unit which acquires a detection value obtained from each of a plurality of detection elements; a decision unit which decides whether the detection value exceeds a preset threshold; a smell decision unit which decides on the type of smell on the basis of smell patterns obtained by patterning a plurality of the detection values acquired by the acquisition unit, when the detection value of at least one of the plurality of detection elements exceeds the threshold value; and a determination unit which determines a correspondence process corresponding to the type of the smell decided on by the smell decision unit.

Description

匂い判定装置、匂い判定方法、および匂い判定システムSmell judgment device, odor judgment method, and odor judgment system
 本発明の実施形態は、匂い判定装置、匂い判定方法、および匂い判定システムに関する。 An embodiment of the present invention relates to an odor determination device, an odor determination method, and an odor determination system.
 複数のガス成分の集合体である匂いを判定するため、匂いの原因物質が吸着する吸着膜を有する検出素子をアレイ化して、当該検出素子で検出した匂いの原因物質に関わる検出値をパターン化した匂いパターンを出力する匂いセンサが開発されている。なお、吸着膜に吸着した匂いの原因物質を電気信号として出力するトランスデューサには、QCM(Quartz Crystal Microbalance)をはじめとして、圧電共振器式、半導体式、電気化学式等のトランスデューサが用いられている。 In order to determine the odor, which is an aggregate of a plurality of gas components, a detection element having an adsorption film on which the odor-causing substance is adsorbed is arrayed, and the detection values related to the odor-causing substance detected by the detection element are patterned. An odor sensor has been developed that outputs the odor pattern. As the transducer that outputs the odor-causing substance adsorbed on the adsorption film as an electric signal, a transducer such as a piezoelectric resonator type, a semiconductor type, or an electrochemical type is used, including a QCM (Quartz Crystal Microbalance).
 そして、匂いパターンを用いて、機械学習によって、匂いパターンの学習および匂いの種類の判定を行う。これにより、匂いパターンと匂いの種類とを対応付けることにより、人による匂いパターンの解析を行うことなく、匂いの種類を判定することが可能となる。 Then, using the odor pattern, the odor pattern is learned and the type of odor is determined by machine learning. This makes it possible to determine the type of odor by associating the odor pattern with the type of odor without having to analyze the odor pattern by a person.
特開2002-298240号公報JP-A-2002-298240 特開平05-223720号公報Japanese Unexamined Patent Publication No. 05-223720
 ところで、上述の技術によれば、匂いの種類(例えば、ミカンの匂い、リンゴの匂い、花の匂い)の判定結果を得ることができるが、匂いの種類の判定結果を得ることに留まらず、匂いの種類の判定結果に基づいて、当該匂いの種類に対応する処理を決定することが求められている。例えば、匂いの種類の判定結果として悪臭が得られた場合、消臭剤の噴霧や、室内の換気、悪臭を発する装置の停止、携帯端末へのアラームの通知等の処理を決定することが求められている。 By the way, according to the above-mentioned technique, it is possible to obtain the determination result of the type of odor (for example, the odor of oranges, the odor of apples, the odor of flowers), but it is not limited to obtaining the determination result of the type of odors. Based on the determination result of the odor type, it is required to determine the process corresponding to the odor type. For example, when a bad odor is obtained as a result of determining the type of odor, it is required to decide the processing such as spraying a deodorant, ventilating the room, stopping the device that emits the bad odor, and notifying the mobile terminal of an alarm. Has been done.
 本発明は、上記に鑑みてなされたものであって、匂いの種類の判定結果に基づいて、自動的に、匂いの種類に対応する処理を実行可能とする匂い判定装置、匂い判定方法、および匂い判定システムを提供することを目的とする。 The present invention has been made in view of the above, and is an odor determination device, an odor determination method, and an odor determination method that can automatically execute a process corresponding to an odor type based on an odor type determination result. An object of the present invention is to provide an odor determination system.
 実施形態にかかる匂い判定装置は、複数の検出素子のそれぞれから得られた検出値を取得する取得部と、前記検出値が予め設定された閾値を超えたか否かを判断する判断部と、前記複数の検出素子のうち少なくとも1つの前記検出素子の前記検出値が前記閾値を超えた場合に、前記取得部により取得した複数の前記検出値をパターン化した匂いパターンに基づいて、匂いの種類を判定する匂い判定部と、前記匂い判定部により判定された匂いの種類に対応する対応処理を決定する決定部と、を備える。 The odor determination device according to the embodiment includes an acquisition unit that acquires detection values obtained from each of the plurality of detection elements, a determination unit that determines whether or not the detection value exceeds a preset threshold value, and the above-mentioned. When the detection value of at least one of the plurality of detection elements exceeds the threshold value, the type of odor is determined based on the odor pattern in which the plurality of detection values acquired by the acquisition unit are patterned. It includes an odor determination unit for determining, and a determination unit for determining a corresponding process corresponding to the type of odor determined by the odor determination unit.
 本発明によれば、例えば、匂いの種類の判定結果に基づいて、自動的に、匂いの種類に対応する処理を実行可能となる。 According to the present invention, for example, based on the determination result of the odor type, it is possible to automatically execute the process corresponding to the odor type.
図1は、第1の実施形態にかかる匂い判定システムの概要構成の一例を示す図である。FIG. 1 is a diagram showing an example of an outline configuration of an odor determination system according to a first embodiment. 図2は、第1の実施形態にかかる匂い判定システムが有する匂いセンサの構成の一例を示す図である。FIG. 2 is a diagram showing an example of a configuration of an odor sensor included in the odor determination system according to the first embodiment. 図3は、第1の実施形態にかかる匂い判定システムが有する匂いセンサから出力される検出値の一例を示す図である。FIG. 3 is a diagram showing an example of a detection value output from an odor sensor included in the odor determination system according to the first embodiment. 図4は、第1の実施形態にかかる匂い判定システムが有するクラウドにおける判定情報の生成処理の一例を説明するための図である。FIG. 4 is a diagram for explaining an example of a determination information generation process in the cloud of the odor determination system according to the first embodiment. 図5は、第1の実施形態にかかる匂い判定システムが有するSCUのハードウェア構成の一例を示す図である。FIG. 5 is a diagram showing an example of the hardware configuration of the SCU included in the odor determination system according to the first embodiment. 図6は、第1の実施形態にかかる匂い判定システムが有するクラウドのハードウェア構成の一例を示す図である。FIG. 6 is a diagram showing an example of a cloud hardware configuration included in the odor determination system according to the first embodiment. 図7Aは、第1の実施形態にかかる匂い判定システムが有するクラウドの機能構成の一例を示す図である。FIG. 7A is a diagram showing an example of a cloud functional configuration included in the odor determination system according to the first embodiment. 図7Bは、第1の実施形態にかかる匂い判定システムが有する外部機器制御モジュールおよび外部機器の一例を説明するための図である。FIG. 7B is a diagram for explaining an example of an external device control module and an external device included in the odor determination system according to the first embodiment. 図8は、第1の実施形態にかかる匂い判定システムが有するクラウドによる対応処理の決定処理の流れの一例を示すフローチャートである。FIG. 8 is a flowchart showing an example of a flow of determination processing of correspondence processing by the cloud included in the odor determination system according to the first embodiment. 図9は、第1の実施形態にかかる匂い判定システムを自動掃除機ロボットに用いる例の説明図である。FIG. 9 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for an automatic vacuum cleaner robot. 図10は、第1の実施形態にかかる匂い判定システムをホテルの部屋の消臭システムに用いる例の説明図である。FIG. 10 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for a deodorizing system in a hotel room. 図11は、第1の実施形態にかかる匂い判定システムを飲食店の排気システムに用いる例の説明図である。FIG. 11 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for an exhaust system of a restaurant. 図12は、第1の実施形態にかかる匂い判定システムを口臭対策に用いる例の説明図である。FIG. 12 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used as a measure against bad breath. 図13は、第1の実施形態にかかる匂い判定システムを重要施設の危険予知に用いる例の説明図である。FIG. 13 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for risk prediction of an important facility. 図14は、第2の実施形態にかかる匂い判定システムが有するクラウドによる対応処理の決定処理の流れの他の例を示すフローチャートである。FIG. 14 is a flowchart showing another example of the flow of the process of determining the corresponding process by the cloud included in the odor determination system according to the second embodiment. 図15は、第3の実施形態にかかる匂い判定システムが有するクラウドによる対応処理の決定処理の流れの他の例を示すフローチャートである。FIG. 15 is a flowchart showing another example of the flow of the process of determining the corresponding process by the cloud included in the odor determination system according to the third embodiment. 図16は、第4の実施形態にかかる匂い判定システムが有するSCUの機能構成の一例を示す図である。FIG. 16 is a diagram showing an example of the functional configuration of the SCU included in the odor determination system according to the fourth embodiment.
 以下、添付の図面を用いて、本実施形態にかかる匂い判定装置、匂い判定方法、および匂い判定システムを適用した匂い判定システムついて説明する。 Hereinafter, the odor determination device, the odor determination method, and the odor determination system to which the odor determination system is applied will be described with reference to the attached drawings.
(第1の実施形態)
 図1は、第1の実施形態にかかる匂い判定システムの概要構成の一例を示す図である。
(First Embodiment)
FIG. 1 is a diagram showing an example of an outline configuration of an odor determination system according to a first embodiment.
 まず、図1を用いて、本実施形態にかかる匂い判定システム10の概要構成の一例について説明する。 First, an example of the outline configuration of the odor determination system 10 according to the present embodiment will be described with reference to FIG.
 本実施形態にかかる匂い判定システム10は、匂いの種類を判定する。ここで、匂いの種類は、例えば、空気中に存在する匂い、ガス中に存在する匂い、筐体内に存在する匂い等、様々な環境に存在する匂いの種類である。次いで、匂い判定システム10は、その判定結果に基づいて、匂いの種類に対応する処理(以下、対応処理と言う)を決定する。 The odor determination system 10 according to the present embodiment determines the type of odor. Here, the type of odor is a type of odor existing in various environments, such as an odor existing in air, an odor existing in gas, and an odor existing in a housing. Next, the odor determination system 10 determines a process corresponding to the type of odor (hereinafter referred to as a corresponding process) based on the determination result.
 匂い判定システム10は、図1に示すように、複数の匂いセンサ11と、SCU12と、クラウド13と、外部機器制御モジュール14と、携帯端末15と、外部機器Xと、を有する。 As shown in FIG. 1, the odor determination system 10 includes a plurality of odor sensors 11, a SCU 12, a cloud 13, an external device control module 14, a mobile terminal 15, and an external device X.
 匂いセンサ11と、SCU12と、は、NFC(Near Field Communication)やBluetooth(登録商標)等の通信手段L1を介して、互いに通信可能に接続されている。また、SCU12と、クラウド13と、外部機器制御モジュール14と、携帯端末15と、は、LAN(Local Area Network)、無線LAN等の専用回線、インターネット等の公衆回線等の通信手段L2を介して、互いに通信可能に接続されている。 The odor sensor 11 and the SCU 12 are connected to each other so as to be able to communicate with each other via a communication means L1 such as NFC (Near Field Communication) or Bluetooth (registered trademark). Further, the SCU 12, the cloud 13, the external device control module 14, and the mobile terminal 15 are connected to each other via a communication means L2 such as a LAN (Local Area Network), a dedicated line such as a wireless LAN, or a public line such as the Internet. , Connected to communicate with each other.
 匂いセンサ11は、匂いの原因物質の質量等を検出するセンサである。 The odor sensor 11 is a sensor that detects the mass of the odor-causing substance and the like.
 SCU(Sensor Control Unit)12は、シングルボードコンピュータやパーソナルコンピュータ等であり、匂いセンサ11による匂いの原因物質の質量等の検出を制御する。また、SCU12は、匂いセンサ11とクラウド13との通信機能(例えば、Wi-Fi(登録商標)や、Bluetooth(登録商標)、Zigbee(登録商標)等による無線通信)や、クラウド13と携帯端末15との通信機能(例えば、4G回線や、LAN:Local Area Network)を備えている。 The SCU (Sensor Control Unit) 12 is a single board computer, a personal computer, or the like, and controls the detection of the mass of the odor-causing substance by the odor sensor 11. Further, the SCU 12 has a communication function between the odor sensor 11 and the cloud 13 (for example, wireless communication by Wi-Fi (registered trademark), Bluetooth (registered trademark), Zigbee (registered trademark), etc.), or the cloud 13 and a mobile terminal. It has a communication function with 15 (for example, 4G line or LAN: Local Area Network).
 クラウド13は、SCU12を介して、匂いセンサ11による匂いの原因物質の質量等の検出結果を取得し、当該検出結果に基づいて匂いの種類を判定し、その判定結果に対応する対応処理を決定する。 The cloud 13 acquires the detection result such as the mass of the odor-causing substance by the odor sensor 11 via the SCU 12, determines the type of odor based on the detection result, and determines the corresponding processing corresponding to the determination result. do.
 外部機器制御モジュール14は、シングルボードコンピュータやI/O拡張ボード等であり、クラウド13から、匂いの種類の判定結果や、対応処理の決定結果を取得し、取得した対応処理の実行を指示する制御信号を外部機器Xに送信する。 The external device control module 14 is a single board computer, an I / O expansion board, or the like, and acquires the determination result of the type of odor and the determination result of the corresponding processing from the cloud 13 and instructs the execution of the acquired corresponding processing. The control signal is transmitted to the external device X.
 携帯端末15は、匂い判定システム10に対するユーザのログイン、クラウド13からの匂いの種類の判定結果および対応処理の決定結果の取得等を実行する。 The mobile terminal 15 executes the user's login to the odor determination system 10, the acquisition of the odor type determination result from the cloud 13, and the determination result of the corresponding processing.
 図2は、第1の実施形態にかかる匂い判定システムが有する匂いセンサの構成の一例を示す図である。 FIG. 2 is a diagram showing an example of the configuration of the odor sensor included in the odor determination system according to the first embodiment.
 次に、図2を用いて、本実施形態にかかる匂いセンサ11の構成の一例について説明する。 Next, an example of the configuration of the odor sensor 11 according to the present embodiment will be described with reference to FIG.
 匂いセンサ11は、QCM(Quartz Crystal Microbalance)センサ等の検出素子を有し、匂いの原因物質の質量等、匂いの原因物質に関わる値(以下、検出値と言う)を検出可能なセンサである。匂いセンサ11が有する検出素子は、匂いの原因物質に関わる検出値を検出可能な検出素子であれば、QCMセンサに限定されず、半導体薄膜を用いたガスセンサ等の他の方式のセンサであっても良い。 The odor sensor 11 has a detection element such as a QCM (Quartz Crystal Microbalance) sensor, and is a sensor capable of detecting a value related to the odor-causing substance (hereinafter referred to as a detected value) such as the mass of the odor-causing substance. .. The detection element included in the odor sensor 11 is not limited to the QCM sensor as long as it is a detection element capable of detecting the detected value related to the odor-causing substance, and is a sensor of another type such as a gas sensor using a semiconductor thin film. Is also good.
 本実施形態では、匂いセンサ11は、図2に示すように、支持部110と、複数の検出素子F1~F16と、駆動検出回路111と、を有する。支持部110には、例えば、16個の検出素子Fが取り付けられる。以下の説明では、検出素子F1~F16を区別する必要がない場合には、検出素子Fと記載する。 In the present embodiment, as shown in FIG. 2, the odor sensor 11 has a support portion 110, a plurality of detection elements F1 to F16, and a drive detection circuit 111. For example, 16 detection elements F are attached to the support portion 110. In the following description, when it is not necessary to distinguish the detection elements F1 to F16, it is described as the detection element F.
 複数の検出素子F1~F16は、それぞれ、異なる種類のガスの原因物質の質量を検出する。具体的には、検出素子Fは、水晶振動子と、2つの電極と、吸着膜と、を有する。また、水晶振動子は、その側面の一部が、振動可能に支持部110に保持されている。 The plurality of detection elements F1 to F16 each detect the mass of the causative substance of a different type of gas. Specifically, the detection element F includes a crystal oscillator, two electrodes, and an adsorption film. A part of the side surface of the crystal oscillator is oscillatedly held by the support portion 110.
 2つの電極は、水晶振動子の両側の平面に設けられる。また、2つの電極は、駆動検出回路111から交流電圧が印加される。 The two electrodes are provided on the planes on both sides of the crystal unit. Further, an AC voltage is applied to the two electrodes from the drive detection circuit 111.
 吸着膜は、水晶振動子の平面の少なくとも一方に設けられる。また、吸着膜は、特定の原因物質を吸着する。複数の検出素子F1~F16は、それぞれ、互い異なる化学的性質を有する原因物質を吸着させる吸着膜を有する。 The adsorption film is provided on at least one of the planes of the crystal unit. In addition, the adsorption membrane adsorbs a specific causative substance. Each of the plurality of detection elements F1 to F16 has an adsorption film that adsorbs causative substances having different chemical properties.
 検出素子Fは、2つの電極に共振周波数の交流電圧が印加されると、圧電効果により水晶振動子が振動する。水晶振動子の共振周波数は、吸着膜に付着した原因物質の質量および粘弾性により定まる。したがって、吸着膜に原因物質が吸着されて質量が変化した場合、検出素子Fは、吸着した原因物質の質量の変化に応じて、共振周波数が変化する。 In the detection element F, when an AC voltage having a resonance frequency is applied to the two electrodes, the crystal oscillator vibrates due to the piezoelectric effect. The resonance frequency of the crystal unit is determined by the mass and viscoelasticity of the causative substance adhering to the adsorption film. Therefore, when the causative substance is adsorbed on the adsorption film and the mass changes, the resonance frequency of the detection element F changes according to the change in the mass of the adsorbed causative substance.
 駆動検出回路111は、少なくとも1つの検出素子Fに交流電圧を印加して、検出素子Fの共振周波数の単位時間当たりの変化を検出する。これにより、駆動検出回路111は、検出素子F毎に、匂いの原因物質の質量を検出することができる。 The drive detection circuit 111 applies an AC voltage to at least one detection element F to detect a change in the resonance frequency of the detection element F per unit time. As a result, the drive detection circuit 111 can detect the mass of the odor-causing substance for each detection element F.
 匂いセンサ11は、駆動検出回路111により検出される共振周波数の変化を検出値として、通信手段L1を介して、SCU12に送信する。本実施形態では、匂いセンサ11は、駆動検出回路111により検出される共振周波数の変化を検出値として、SCU12に送信しているが、匂いの原因物質に関わる値を検出値として送信するものであれば、これに限定するものではなく、例えば、検出素子Fの抵抗値の変化を検出値として、SCU12に送信しても良い。 The odor sensor 11 transmits the change in the resonance frequency detected by the drive detection circuit 111 to the SCU 12 via the communication means L1 as a detection value. In the present embodiment, the odor sensor 11 transmits the change in the resonance frequency detected by the drive detection circuit 111 to the SCU 12 as a detection value, but transmits a value related to the odor-causing substance as a detection value. If there is, the present invention is not limited to this, and for example, a change in the resistance value of the detection element F may be transmitted to the SCU 12 as a detection value.
 図3は、第1の実施形態にかかる匂い判定システムが有する匂いセンサから出力される検出値の一例を示す図である。 FIG. 3 is a diagram showing an example of the detected value output from the odor sensor included in the odor determination system according to the first embodiment.
 次に、図3を用いて、本実施形態にかかる匂い判定システム10が有する匂いセンサ11から出力される検出値の一例について説明する。 Next, an example of the detected value output from the odor sensor 11 included in the odor determination system 10 according to the present embodiment will be described with reference to FIG.
 匂いセンサ11は、図3に示すように、検出素子F1~F16のそれぞれから出力される検出値をパターン化したデータ(以下、匂いパターンと言う)を出力しても良い。匂いセンサ11が出力する匂いパターンは、検出素子F1~F16のそれぞれから出力される検出値に応じて、多種多様な匂いパターンとなる。 As shown in FIG. 3, the odor sensor 11 may output data (hereinafter referred to as an odor pattern) in which the detection values output from each of the detection elements F1 to F16 are patterned. The odor pattern output by the odor sensor 11 has a wide variety of odor patterns according to the detection values output from each of the detection elements F1 to F16.
 本実施形態では、匂いセンサ11が、16種類の検出素子Fを有する例を示しているが、これに限定するものではなく、16種類より少ない数、または、16種類より多い数の検出素子Fを有していても良い。複数種類の匂いが混在する場合には、匂いセンサ11が、より多くの検出素子Fを有することにより、匂いの種類の判定精度を向上させることができる。 In the present embodiment, an example in which the odor sensor 11 has 16 types of detection elements F is shown, but the present invention is not limited to this, and the number of detection elements F is less than 16 types or more than 16 types. May have. When a plurality of types of odors are mixed, the odor sensor 11 has more detection elements F, so that the accuracy of determining the type of odor can be improved.
 クラウド13は、SCU12を介して、匂いセンサ11から出力される検出値を受信する。クラウド13は、匂いセンサ11から出力される検出値に対応付けて、当該検出値が示す匂いの種類を示す判定情報を記憶している。クラウド13は、受信した検出値と対応付けて記憶する判定情報に基づいて、匂いセンサ11から受信した検出値に対応する匂いの種類を判定する。また、クラウド13は、検出素子Fから出力される単位時間当たりの検出値の変化の割合に基づいて、匂いの強さを判定する。単位時間当たりの検出値の変化の割合が大きいほど、匂いが強いことを示す。 The cloud 13 receives the detected value output from the odor sensor 11 via the SCU 12. The cloud 13 stores determination information indicating the type of odor indicated by the detected value in association with the detected value output from the odor sensor 11. The cloud 13 determines the type of odor corresponding to the detected value received from the odor sensor 11 based on the determination information stored in association with the received detected value. Further, the cloud 13 determines the intensity of the odor based on the rate of change of the detected value per unit time output from the detection element F. The greater the rate of change in the detected value per unit time, the stronger the odor.
 クラウド13は、判定情報を記憶していない初期状態においては、匂いセンサ11から受信する検出値に基づいて、当該検出値が示す1つの匂いの種類を示す判定情報を生成する。クラウド13は、例えば、ニューラルネットワークを用いて多変量解析を行い、検出値が示す1つの匂いの種類を示す判定情報を生成する。 In the initial state in which the determination information is not stored, the cloud 13 generates determination information indicating one type of odor indicated by the detection value based on the detection value received from the odor sensor 11. The cloud 13 performs multivariate analysis using, for example, a neural network, and generates determination information indicating one type of odor indicated by the detected value.
 図4は、第1の実施形態にかかる匂い判定システムが有するクラウドにおける判定情報の生成処理の一例を説明するための図である。 FIG. 4 is a diagram for explaining an example of the determination information generation process in the cloud of the odor determination system according to the first embodiment.
 次に、図4を用いて、本実施形態にかかる匂い判定システム10が有するクラウド13における判定情報の生成処理の一例について説明する。 Next, with reference to FIG. 4, an example of the determination information generation process in the cloud 13 of the odor determination system 10 according to the present embodiment will be described.
 クラウド13は、入力層N1、中間層N2、および出力層N3を有するニューラルネットワークを用いて、受信した検出値に対応する1つの匂いの種類を示す判定情報を生成する。入力層N1は、匂いセンサ11から検出値を受信する。中間層N2は、入力層N1から受信した検出値のうち、匂いの種類の特徴量を抽出する。ここで、特徴量とは、他の匂いの種類との違いを識別可能な量である。出力層N3は、中間層N2において抽出した特徴量が示す匂いの種類を、判定情報として出力する。 The cloud 13 uses a neural network having an input layer N1, an intermediate layer N2, and an output layer N3 to generate determination information indicating one type of odor corresponding to the received detected value. The input layer N1 receives the detected value from the odor sensor 11. The intermediate layer N2 extracts the feature amount of the odor type from the detected values received from the input layer N1. Here, the feature amount is an amount that can distinguish the difference from other odor types. The output layer N3 outputs the type of odor indicated by the feature amount extracted in the intermediate layer N2 as determination information.
 クラウド13は、判定情報を生成した後、当該判定情報を、学習処理により精度を高めた判定情報に更新する。クラウド13は、判定情報の精度を高めるために、学習処理を複数回実行しても良い。 After generating the judgment information, the cloud 13 updates the judgment information with the judgment information whose accuracy is improved by the learning process. The cloud 13 may execute the learning process a plurality of times in order to improve the accuracy of the determination information.
 例えば、匂いセンサ11が有する検出素子Fにより検出する匂いの原因物質の中には、複数の匂いの原因物質が混在している場合がある。この場合、クラウド13により判定した匂いの種類が、必ずしも人の嗅覚が実際に感じる匂いと一致していない場合がある。これは、中間層N2において抽出する匂いの種類の特徴量に問題があることが多い。よって、クラウド13は、中間層N2から出力される特徴量を修正することにより、人の嗅覚が感じる匂いの種類に対応する特徴量を抽出する。 For example, a plurality of odor-causing substances may be mixed in the odor-causing substances detected by the detection element F included in the odor sensor 11. In this case, the type of odor determined by the cloud 13 may not always match the odor actually felt by the human sense of smell. This often has a problem with the feature amount of the type of odor extracted in the intermediate layer N2. Therefore, the cloud 13 extracts the feature amount corresponding to the type of odor perceived by the human sense of smell by modifying the feature amount output from the intermediate layer N2.
 本実施形態では、クラウド13は、ニューラルネットワークを用いて、匂いセンサ11から受信する検出値に対応する匂いの種類の判定を実行しているが、これに限定するものではなく、例えば、パターンマッチングやSVNによって、匂いセンサ11から受信する検出値に対応する匂いの種類の判定を実行しても良い。 In the present embodiment, the cloud 13 uses a neural network to determine the type of odor corresponding to the detected value received from the odor sensor 11, but the cloud 13 is not limited to this, and is not limited to this, for example, pattern matching. Or SVN may be used to determine the type of odor corresponding to the detected value received from the odor sensor 11.
 図5は、第1の実施形態にかかる匂い判定システムが有するSCUのハードウェア構成の一例を示す図である。 FIG. 5 is a diagram showing an example of the hardware configuration of the SCU included in the odor determination system according to the first embodiment.
 次に、図5を用いて、本実施形態にかかる匂い判定システム10が有するSCU12のハードウェア構成の一例について説明する。 Next, an example of the hardware configuration of the SCU 12 included in the odor determination system 10 according to the present embodiment will be described with reference to FIG.
 SCU12は、図5に示すように、CPU(Central Processing Unit)121、ROM(Read Only Memory)122、RAM(Random Access Memory)123、およびメモリ部124を有する。 As shown in FIG. 5, the SCU 12 has a CPU (Central Processing Unit) 121, a ROM (Read Only Memory) 122, a RAM (Random Access Memory) 123, and a memory unit 124.
 CPU121は、SCU12全体を制御する。ROM122およびメモリ部124は、各種プログラムを記憶する。RAM123は、各種データを一時的に記憶する。CPU121、ROM122、RAM123、およびメモリ部124は、互いにデータバス125を介して接続されている。 The CPU 121 controls the entire SCU 12. The ROM 122 and the memory unit 124 store various programs. The RAM 123 temporarily stores various data. The CPU 121, ROM 122, RAM 123, and memory unit 124 are connected to each other via the data bus 125.
 そして、CPU121が、ROM122やメモリ部124に記憶される各種プログラムを、RAM123に展開し、当該展開した各種プログラムを実行することにより、SCU12全体を制御する。 Then, the CPU 121 expands various programs stored in the ROM 122 and the memory unit 124 into the RAM 123, and executes the expanded various programs to control the entire SCU 12.
 また、CPU121は、図5に示すように、データバス125およびコントローラ126を介して、操作部127、表示部128と接続される。操作部127は、操作者が操作し、データを入力するためのキーボードである。表示部128は、例えば液晶表示器で構成されており、SCU12の操作者に情報を表示する。 Further, as shown in FIG. 5, the CPU 121 is connected to the operation unit 127 and the display unit 128 via the data bus 125 and the controller 126. The operation unit 127 is a keyboard for the operator to operate and input data. The display unit 128 is composed of, for example, a liquid crystal display, and displays information to the operator of the SCU 12.
 また、CPU121は、図5に示すように、データバス125を介して通信I/F129と接続される。通信I/F129は、通信手段L1や通信手段L2と接続される。通信I/F129は、通信手段L1を介して、匂いセンサ11と通信が可能であり、匂いセンサ11から検出値等の各種情報を受信する。また、通信I/F129は、通信手段L2を介して、クラウド13と通信が可能であり、教師データや修正された判定情報等のクラウド13から各種情報を受信する。ここで、また、通信I/F129は、通信手段L2を介して、クラウド13に対して、検出素子Fの検出値等の各種情報を送信する。また、通信I/F129は、携帯端末15と通信可能である。 Further, as shown in FIG. 5, the CPU 121 is connected to the communication I / F 129 via the data bus 125. The communication I / F 129 is connected to the communication means L1 and the communication means L2. The communication I / F 129 can communicate with the odor sensor 11 via the communication means L1, and receives various information such as a detected value from the odor sensor 11. Further, the communication I / F 129 can communicate with the cloud 13 via the communication means L2, and receives various information from the cloud 13 such as teacher data and corrected determination information. Here, the communication I / F 129 also transmits various information such as a detection value of the detection element F to the cloud 13 via the communication means L2. Further, the communication I / F 129 can communicate with the mobile terminal 15.
 図6は、第1の実施形態にかかる匂い判定システムが有するクラウドのハードウェア構成の一例を示す図である。 FIG. 6 is a diagram showing an example of a cloud hardware configuration of the odor determination system according to the first embodiment.
 次に、図6を用いて、本実施形態にかかる匂い判定システム10が有するクラウド13のハードウェア構成の一例について説明する。 Next, an example of the hardware configuration of the cloud 13 included in the odor determination system 10 according to the present embodiment will be described with reference to FIG.
 クラウド13は、図6に示すように、CPU131、ROM132、RAM133、およびメモリ部134を有する。 As shown in FIG. 6, the cloud 13 has a CPU 131, a ROM 132, a RAM 133, and a memory unit 134.
 CPU131は、クラウド13全体を制御する。ROM132およびメモリ部134は、各種プログラムを記憶する。RAM133は、各種データを一時的に記憶する。CPU131、ROM132、RAM133、およびメモリ部134は、互いにデータバス135を介して接続されている。 The CPU 131 controls the entire cloud 13. The ROM 132 and the memory unit 134 store various programs. The RAM 133 temporarily stores various data. The CPU 131, ROM 132, RAM 133, and memory unit 134 are connected to each other via the data bus 135.
 そして、CPU131が、ROM132やメモリ部134に記憶される各種プログラムをRAM133に展開し、当該展開した各種プログラムを実行することにより、クラウド13全体を制御する。 Then, the CPU 131 expands various programs stored in the ROM 132 and the memory unit 134 into the RAM 133, and executes the expanded various programs to control the entire cloud 13.
 また、CPU131は、図6に示すように、データバス135およびコントローラ136を介して、操作部137、表示部138と接続される。操作部137は、操作者が操作し、データを入力するためのキーボードである。また、表示部138は、例えば液晶表示器で構成されており、クラウド13の操作者に情報を表示する。 Further, as shown in FIG. 6, the CPU 131 is connected to the operation unit 137 and the display unit 138 via the data bus 135 and the controller 136. The operation unit 137 is a keyboard for the operator to operate and input data. Further, the display unit 138 is composed of, for example, a liquid crystal display, and displays information to the operator of the cloud 13.
 また、CPU131は、図6に示すように、データバス135を介して通信I/F139と接続される。通信I/F139は、通信手段L2と接続される。通信I/F139は、通信手段L2を介して、SCU12と通信が可能であり、SCU12から情報(例えば、検出素子Fの検出値)を受信する。また、通信I/F139は、通信手段L2を介して、SCU12に対して情報を送信する。 Further, as shown in FIG. 6, the CPU 131 is connected to the communication I / F 139 via the data bus 135. The communication I / F 139 is connected to the communication means L2. The communication I / F 139 can communicate with the SCU 12 via the communication means L2, and receives information (for example, a detection value of the detection element F) from the SCU 12. Further, the communication I / F 139 transmits information to the SCU 12 via the communication means L2.
 図7Aは、第1の実施形態にかかる匂い判定システムが有するクラウドの機能構成の一例を示す図である。 FIG. 7A is a diagram showing an example of a cloud functional configuration included in the odor determination system according to the first embodiment.
 次に、図7Aを用いて、本実施形態にかかる匂い判定システム10が有するクラウド13の機能構成の一例について説明する。 Next, an example of the functional configuration of the cloud 13 included in the odor determination system 10 according to the present embodiment will be described with reference to FIG. 7A.
 本実施形態では、CPU131は、ROM132またはメモリ部134に記憶される各種プログラムをRAM133に展開し、当該展開した各種プログラムを実行することにより、取得部701、判断部702、匂い判定部703、および決定部704として機能する。本実施形態では、CPU131は、匂い判定装置の一例である。 In the present embodiment, the CPU 131 expands various programs stored in the ROM 132 or the memory unit 134 into the RAM 133, and executes the expanded various programs to execute the acquisition unit 701, the determination unit 702, the odor determination unit 703, and the odor determination unit 703. It functions as a determination unit 704. In this embodiment, the CPU 131 is an example of an odor determination device.
 本実施形態では、クラウド13において、取得部701、判断部702、匂い判定部703、および決定部704を実現しているが、取得部701、判断部702、匂い判定部703、および決定部704の一部または全部を、クラウド13の外部の装置(例えば、SCU12)において実現することも可能である。 In the present embodiment, the acquisition unit 701, the determination unit 702, the odor determination unit 703, and the determination unit 704 are realized in the cloud 13, but the acquisition unit 701, the determination unit 702, the odor determination unit 703, and the determination unit 704 It is also possible to realize a part or all of the above in an external device (for example, SCU 12) of the cloud 13.
 取得部701は、複数の匂いセンサ11から、複数の検出素子Fのそれぞれから得られた検出値を取得する。本実施形態では、取得部701は、SCU12を介して、複数の匂いセンサ11から、当該複数の匂いセンサ11のそれぞれが有する複数の検出素子Fの検出値の匂いパターンを取得する。 The acquisition unit 701 acquires the detection values obtained from each of the plurality of detection elements F from the plurality of odor sensors 11. In the present embodiment, the acquisition unit 701 acquires the odor pattern of the detection value of the plurality of detection elements F possessed by each of the plurality of odor sensors 11 from the plurality of odor sensors 11 via the SCU 12.
 判断部702は、取得部701により取得する検出値が、所定の閾値を超えたか否かを判断する。ここで、所定の閾値は、予め設定される閾値である。具体的には、所定の閾値は、匂いの原因物質が存在すると判定する、検出値の閾値である。 The determination unit 702 determines whether or not the detection value acquired by the acquisition unit 701 exceeds a predetermined threshold value. Here, the predetermined threshold value is a preset threshold value. Specifically, the predetermined threshold value is the threshold value of the detection value for determining the presence of the odor-causing substance.
 匂い判定部703は、判断部702によって、複数の検出値のうち少なくとも1つの検出値が所定の閾値を超えたと判断された場合、当該複数の検出値をパターン化した匂いパターンに基づいて、匂いの種類を判定する。本実施形態では、匂い判定部703は、匂いパターンに基づいて、匂いの種類を判定しているが、複数の検出素子Fの検出値に基づいて、匂いの種類を判定するものであれば、これに限定するものではない。例えば、匂い判定部703は、取得部701により取得した複数の検出値から、匂いの種類の特徴量を抽出し、当該特徴量に基づいて、匂いの種類を判定する。 When the odor determination unit 703 determines by the determination unit 702 that at least one of the plurality of detected values exceeds a predetermined threshold value, the odor determination unit 703 determines that the plurality of detected values exceed a predetermined threshold value, and the odor determination unit 703 is based on an odor pattern in which the plurality of detected values are patterned. Judge the type of. In the present embodiment, the odor determination unit 703 determines the type of odor based on the odor pattern, but if the type of odor is determined based on the detection values of the plurality of detection elements F, the odor determination unit 703 determines the type of odor. It is not limited to this. For example, the odor determination unit 703 extracts the feature amount of the odor type from the plurality of detected values acquired by the acquisition unit 701, and determines the odor type based on the feature amount.
 決定部704は、匂い判定部703により判定される匂いの種類に対応する対応処理を決定する。これにより、匂いが存在すると判定された場合に、匂いの種類の判定結果に基づいて、自動的に、匂いの種類に対応する対応処理が実行可能となる。 The determination unit 704 determines the corresponding processing corresponding to the type of odor determined by the odor determination unit 703. As a result, when it is determined that an odor is present, the corresponding processing corresponding to the odor type can be automatically executed based on the determination result of the odor type.
 例えば、決定部704は、匂い判定部703によって匂いの種類として判定される悪臭に対応する対応処理として、消臭剤の噴霧、換気、オゾンの発生、空気清浄器の稼働等を決定する。 For example, the determination unit 704 determines spraying of a deodorant, ventilation, generation of ozone, operation of an air purifier, etc. as a response process corresponding to an odor determined as a type of odor by the odor determination unit 703.
 また、決定部704は、Web API(Application Programing Interface)等によって、匂いの種類の判定結果や対応処理の決定結果を、外部機器制御モジュール14や携帯端末15に公開する。 In addition, the determination unit 704 publishes the determination result of the type of odor and the determination result of the corresponding processing to the external device control module 14 and the mobile terminal 15 by the Web API (Application Programming Interface) or the like.
 これにより、外部機器制御モジュール14や携帯端末15は、匂いの種類の判定結果や対応処理の決定結果を取得可能となる。例えば、外部機器制御モジュール14は、予め設定された周期で、決定部704により公開される対応処理の決定結果を取得する。 As a result, the external device control module 14 and the mobile terminal 15 can acquire the determination result of the type of odor and the determination result of the corresponding processing. For example, the external device control module 14 acquires the determination result of the corresponding process published by the determination unit 704 at a preset cycle.
 そして、外部機器制御モジュール14は、取得した対応処理の実行を指示する制御情報を外部機器Xに出力する制御部の一例として機能する。例えば、外部機器制御モジュール14は、リレー出力ボードが有する複数のチャンネル(例えば、4つのチャンネル)のリレーのうち、決定した対応処理の実行を外部機器Xに指示可能なリレーをオンする制御プログラムを実行する。 Then, the external device control module 14 functions as an example of a control unit that outputs the acquired control information instructing the execution of the corresponding processing to the external device X. For example, the external device control module 14 has a control program that turns on a relay that can instruct the external device X to execute the determined corresponding processing among the relays of a plurality of channels (for example, four channels) of the relay output board. Execute.
 図7Bは、第1の実施形態にかかる匂い判定システムが有する外部機器制御モジュールおよび外部機器の一例を説明するための図である。 FIG. 7B is a diagram for explaining an example of an external device control module and an external device included in the odor determination system according to the first embodiment.
 次に、図7Bを用いて、本実施形態にかかる匂い判定システム10が有する外部機器制御モジュール14および外部機器Xの一例について説明する。 Next, an example of the external device control module 14 and the external device X included in the odor determination system 10 according to the present embodiment will be described with reference to FIG. 7B.
 本実施形態では、外部機器制御モジュール14は、シングルボードコンピュータやリレー出力ボード等を有する。そして、外部機器制御モジュール14は、図7Bに示すように、SCU12を介して、クラウド13の決定部704による対応処理の決定結果を取得する。次いで、外部機器制御モジュール14は、取得した対応処理の決定結果に基づいて、リレー出力ボードが有する複数のチャンネルのリレーのうち、決定した対応処理の実行を外部機器Xに指示可能なリレーをオンする。外部機器Xは、図7Bに示すように、外部機器制御モジュール14によってオンされるリレーに対応する対応処理(例えば、消臭剤の噴霧)を実行する。 In this embodiment, the external device control module 14 has a single board computer, a relay output board, and the like. Then, as shown in FIG. 7B, the external device control module 14 acquires the determination result of the corresponding processing by the determination unit 704 of the cloud 13 via the SCU 12. Next, the external device control module 14 turns on the relay capable of instructing the external device X to execute the determined response process among the relays of the plurality of channels of the relay output board based on the acquired determination result of the response process. do. As shown in FIG. 7B, the external device X executes a corresponding process (for example, spraying a deodorant) corresponding to the relay turned on by the external device control module 14.
 図8は、第1の実施形態にかかる匂い判定システムが有するクラウドによる対応処理の決定処理の流れの一例を示すフローチャートである。 FIG. 8 is a flowchart showing an example of a flow of determination processing of correspondence processing by the cloud included in the odor determination system according to the first embodiment.
 次に、図8を用いて、クラウド13による対応処理の決定処理の流れの一例について説明する。 Next, an example of the flow of the determination processing of the corresponding processing by the cloud 13 will be described with reference to FIG.
 まず、取得部701は、SCU12を介して、複数の匂いセンサ11から、複数の検出素子Fのそれぞれの検出値を取得する(ステップS801)。本実施形態では、取得部701は、予め設定された周期で、複数の匂いセンサ11から、複数の検出素子Fのそれぞれの検出値を取得するものとする。 First, the acquisition unit 701 acquires the detection values of the plurality of detection elements F from the plurality of odor sensors 11 via the SCU 12 (step S801). In the present embodiment, the acquisition unit 701 acquires the detection values of the plurality of detection elements F from the plurality of odor sensors 11 at a preset cycle.
 次いで、判断部702は、取得部701によって検出値が取得される度に、検出素子Fの検出値が、所定の閾値を超えたか否かを判断する(ステップS802)。 Next, the determination unit 702 determines whether or not the detection value of the detection element F exceeds a predetermined threshold value each time the detection value is acquired by the acquisition unit 701 (step S802).
 複数の検出素子Fの検出値のいずれもが所定の閾値を超えていない場合(ステップS802:No)、判断部702は、匂いが存在しないと判断して、対応処理の決定処理を終了させる。 When none of the detection values of the plurality of detection elements F exceeds a predetermined threshold value (step S802: No), the determination unit 702 determines that the odor does not exist, and ends the determination process of the corresponding process.
 一方、複数の検出素子Fのうち少なくとも1つの検出素子Fの検出値が所定の閾値を超えた場合(ステップS802:Yes)、匂い判定部703は、複数の検出素子Fの検出値に基づいて、匂いの種類を判定する(ステップS803)。 On the other hand, when the detection value of at least one detection element F among the plurality of detection elements F exceeds a predetermined threshold value (step S802: Yes), the odor determination unit 703 is based on the detection values of the plurality of detection elements F. , The type of odor is determined (step S803).
 次いで、決定部704は、匂い判定部703による匂いの種類の判定結果に基づいて、判定された匂いの種類に対応する対応処理を決定する(ステップS804)。 Next, the determination unit 704 determines the corresponding process corresponding to the determined odor type based on the determination result of the odor type by the odor determination unit 703 (step S804).
 次に、図9~13を用いて、本実施形態にかかる匂い判定システム10を適用可能な様々な場面の一例について説明する。図9は、第1の実施形態にかかる匂い判定システムを自動掃除機ロボットに用いる例の説明図である。図10は、第1の実施形態にかかる匂い判定システムをホテルの部屋の消臭システムに用いる例の説明図である。図11は、第1の実施形態にかかる匂い判定システムを飲食店の排気システムに用いる例の説明図である。図12は、第1の実施形態にかかる匂い判定システムを口臭対策に用いる例の説明図である。図13は、第1の実施形態にかかる匂い判定システムを重要施設の危険予知に用いる例の説明図である。 Next, with reference to FIGS. 9 to 13, an example of various situations to which the odor determination system 10 according to the present embodiment can be applied will be described. FIG. 9 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for an automatic vacuum cleaner robot. FIG. 10 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for a deodorizing system in a hotel room. FIG. 11 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for an exhaust system of a restaurant. FIG. 12 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used as a measure against bad breath. FIG. 13 is an explanatory diagram of an example in which the odor determination system according to the first embodiment is used for risk prediction of an important facility.
 まず、本実施形態にかかる匂い判定システム10を消臭や清掃関係に適用する例について説明する。 First, an example of applying the odor determination system 10 according to the present embodiment to deodorization and cleaning will be described.
 例えば、本実施形態にかかる匂い判定システム10を、工場から排出される匂いの消臭対策に用いる場合、工場の排気ダクトに、匂いセンサ11を設置する。そして、クラウド13の匂い判定部703は、匂いセンサ11が有する検出素子Fの検出値が所定の閾値を超えた場合、複数の検出値に基づいて、匂いの種類を判定する。次いで、クラウド13の決定部704は、判定した匂いの種類に対応する消臭剤を噴霧する処理を、対応処理に決定する。 For example, when the odor determination system 10 according to the present embodiment is used as a deodorizing measure for the odor discharged from the factory, the odor sensor 11 is installed in the exhaust duct of the factory. Then, when the detection value of the detection element F included in the odor sensor 11 exceeds a predetermined threshold value, the odor determination unit 703 of the cloud 13 determines the type of odor based on the plurality of detection values. Next, the determination unit 704 of the cloud 13 determines the process of spraying the deodorant corresponding to the determined odor type as the corresponding process.
 例えば、本実施形態にかかる匂い判定システム10を、自動掃除機ロボット900の制御に用いる場合、図9に示すように、自動掃除機ロボット900に、匂いセンサ11を搭載させる。そして、クラウド13の匂い判定部703は、自動掃除機ロボット900が掃除中に、匂いセンサ11が有する検出素子Fの検出値が所定の閾値を超えた場合、複数の検出値に基づいて、匂いの種類を判定する。次いで、クラウド13の決定部704は、判定した匂いの種類に対応する消臭剤を噴霧する処理を、対応処理を決定し、当該対応処理を自動掃除機ロボット900に実行させる。自動掃除機ロボット900に搭載する匂いセンサ11の検出素子Fが部屋全体の匂いの原因物質の検出値を検出可能である場合には、クラウド13の決定部704は、送風による空気の流れを作る換気を、対応処理に決定することも可能である。 For example, when the odor determination system 10 according to the present embodiment is used for controlling the automatic vacuum cleaner robot 900, the odor sensor 11 is mounted on the automatic vacuum cleaner robot 900 as shown in FIG. Then, when the detection value of the detection element F of the odor sensor 11 exceeds a predetermined threshold value while the automatic vacuum cleaner robot 900 is cleaning, the odor determination unit 703 of the cloud 13 determines the odor based on a plurality of detection values. Judge the type of. Next, the determination unit 704 of the cloud 13 determines the corresponding process for spraying the deodorant corresponding to the determined odor type, and causes the automatic vacuum cleaner robot 900 to execute the corresponding process. When the detection element F of the odor sensor 11 mounted on the automatic vacuum cleaner robot 900 can detect the detected value of the odor-causing substance in the entire room, the determination unit 704 of the cloud 13 creates an air flow by blowing air. Ventilation can also be determined as a corresponding process.
 例えば、本実施形態にかかる匂い判定システム10を、ホテルの部屋の消臭システムに用いる場合、図10に示すように、ホテルの客室に匂いセンサ11を設置する。そして、クラウド13の匂い判定部703は、お客さんがホテルをチェックアウトした後、匂いセンサ11が有する検出素子Fの検出値が所定の閾値を超えた場合、複数の検出値に基づいて、匂いの種類を判定する。次いで、クラウド13の決定部704は、判定した匂いの種類に対応する消臭剤の噴霧、またはオゾンの生成を、対応処理に決定する。これにより、ホテルの従業員がホテルの客室の匂いを確認して、確認した匂いに対応する処理を実行する必要がなくなるので、ホテルの従業員の省人化を図ることができる。 For example, when the odor determination system 10 according to the present embodiment is used as a deodorizing system in a hotel room, an odor sensor 11 is installed in the hotel room as shown in FIG. Then, when the detection value of the detection element F of the odor sensor 11 exceeds a predetermined threshold value after the customer checks out the hotel, the odor determination unit 703 of the cloud 13 determines the odor based on the plurality of detection values. Judge the type of. Next, the determination unit 704 of the cloud 13 determines the spraying of the deodorant corresponding to the determined odor type or the generation of ozone as the corresponding process. As a result, it is not necessary for the hotel employee to confirm the odor of the hotel guest room and perform the processing corresponding to the confirmed odor, so that the labor saving of the hotel employee can be achieved.
 次に、本実施形態にかかる匂い判定システム10を食品関係に適用する例について説明する。 Next, an example of applying the odor determination system 10 according to the present embodiment to food-related items will be described.
 例えば、図11に示すように、複数の飲食店1101~1109が入ったビル1100は、各飲食店1101~1109からの排気を一括して外部に排気することが多い。よって、ある1つの飲食店(例えば、飲食店1101)の排気設備のフィルタが劣化または故障して、その飲食店の排気が外部に排気された場合、いずれの飲食店の排気設備が劣化または故障しているかを特定することが困難であり、その改善に時間がかかる。 For example, as shown in FIG. 11, in the building 1100 containing a plurality of restaurants 1101-1109, the exhaust from each restaurant 1101-1109 is often exhausted to the outside at once. Therefore, when the filter of the exhaust equipment of a certain restaurant (for example, restaurant 1101) deteriorates or breaks down and the exhaust of that restaurant is exhausted to the outside, the exhaust equipment of any restaurant deteriorates or breaks down. It is difficult to identify what is happening, and it takes time to improve it.
 そこで、本実施形態にかかる匂い判定システム10を、複数の飲食店1101~1109が入ったビル1100から排気される匂い対策に用いる場合、図11に示すように、ビル1100の外部に排気するダクト1110に匂いセンサ11を設置する。そして、クラウド13の匂い判定部703は、匂いセンサ11が有する検出素子Fの検出値が所定の閾値を超えた場合、複数の検出値に基づいて、匂いの種類を判定する。次いで、クラウド13の決定部704は、判定した匂いの種類に基づいて、匂いを発生させている飲食店(例えば、飲食店1101)を特定しかつ当該飲食店1101に匂いの改善を要求する通知を行う処理を、対応処理に決定する。これにより、飲食店1101は、排気設備の修理を直ちに行うことができ、ビル1100から排気される匂いの改善に要する時間を短縮することができる。その際、クラウド13の決定部704は、各飲食店1101~1109のスマートメータの情報を取得し、稼働している飲食店の中から、匂いを発生させている飲食店を特定しても良い。 Therefore, when the odor determination system 10 according to the present embodiment is used as a countermeasure against odors exhausted from the building 1100 containing a plurality of restaurants 1101 to 1109, as shown in FIG. 11, a duct that exhausts air to the outside of the building 1100. The odor sensor 11 is installed in 1110. Then, when the detection value of the detection element F included in the odor sensor 11 exceeds a predetermined threshold value, the odor determination unit 703 of the cloud 13 determines the type of odor based on the plurality of detection values. Next, the determination unit 704 of the cloud 13 identifies the restaurant (for example, restaurant 1101) that is generating the odor based on the determined type of odor, and notifies the restaurant 1101 to improve the odor. The process to be performed is determined as the corresponding process. As a result, the restaurant 1101 can immediately repair the exhaust equipment, and the time required for improving the odor exhausted from the building 1100 can be shortened. At that time, the determination unit 704 of the cloud 13 may acquire the information of the smart meters of each restaurant 1101 to 1109 and identify the restaurant generating the odor from the operating restaurants. ..
 例えば、本実施形態にかかる匂い判定システム10を、食品を製造する食品工場の工程管理に用いる場合、食品工場のラインに匂いセンサ11を設置する。そして、クラウド13の匂い判定部703は、匂いセンサ11が有する検出素子Fの検出値が所定の閾値を超えた場合、複数の検出値に基づいて、匂いの種類を判定する。次いで、クラウド13の決定部704は、判定した匂いの種類に対応する対応処理に決定する。 For example, when the odor determination system 10 according to the present embodiment is used for process control of a food factory that manufactures food, an odor sensor 11 is installed on the line of the food factory. Then, when the detection value of the detection element F included in the odor sensor 11 exceeds a predetermined threshold value, the odor determination unit 703 of the cloud 13 determines the type of odor based on the plurality of detection values. Next, the determination unit 704 of the cloud 13 determines the corresponding processing corresponding to the determined odor type.
 具体的には、クラウド13の決定部704は、食品の調理時に発生する焦げの匂いが、匂いの種類に判定された場合、食品工場の装置のうち焦げの匂いを発生させている装置の停止を、対応処理に決定する。また、クラウド13の決定部704は、食品の腐敗によって発生する匂いが、匂いの種類に判定された場合、食品の腐敗によって匂いが発生していることを通知するアラートを、対応処理に決定する。また、クラウド13の決定部704は、獣の匂いが、匂いの種類に判定された場合、獣が発生していることを通知するアラートを、対応処理に決定する。 Specifically, the determination unit 704 of the cloud 13 stops the device that generates the burnt odor among the devices of the food factory when the burnt odor generated during cooking of the food is determined to be the type of odor. Is determined as the corresponding process. Further, the determination unit 704 of the cloud 13 determines in the corresponding process an alert notifying that the odor generated by the spoilage of the food is generated by the spoilage of the food when the odor generated by the spoilage of the food is determined by the type of the odor. .. Further, when the scent of the beast is determined to be the type of scent, the determination unit 704 of the cloud 13 determines an alert notifying that the beast is occurring in the corresponding process.
 次に、本実施形態にかかる匂い判定システム10をエチケット関係に適用する例について説明する。 Next, an example of applying the odor determination system 10 according to the present embodiment to the etiquette relationship will be described.
 例えば、本実施形態にかかる匂い判定システム10を、口臭対策に用いる場合、図12に示すように、接客業のオフィスやホテル等に匂いセンサ11を設置する。そして、クラウド13の匂い判定部703は、匂いセンサ11に呼気を吹きかけた際の匂いセンサ11が有する検出素子Fの検出値が所定の閾値を超えた場合、複数の検出値に基づいて、匂いの種類を判定する。その際、匂い判定部703は、対象者が食べた物、アルコールの摂取の有無、対象者の体臭、対象者の口内の写真等を入力させ、当該入力された情報を加えて、匂いの種類を判定しても良い。次いで、クラウド13の決定部704は、判定した匂いの種類に対応する対応処理を決定する。 For example, when the odor determination system 10 according to the present embodiment is used as a measure against bad breath, an odor sensor 11 is installed in an office or hotel in the hospitality industry as shown in FIG. Then, when the detection value of the detection element F possessed by the odor sensor 11 when the odor sensor 11 is blown with exhaled air, the odor determination unit 703 of the cloud 13 exceeds a predetermined threshold value, the odor determination unit 703 is based on the plurality of detection values. Judge the type of. At that time, the odor determination unit 703 is made to input the food eaten by the subject, the presence or absence of alcohol intake, the body odor of the subject, the photograph of the mouth of the subject, etc., and adds the input information to the type of odor. May be determined. Next, the determination unit 704 of the cloud 13 determines the corresponding processing corresponding to the determined odor type.
 具体的には、クラウド13の決定部704は、餃子の匂いが、匂いの種類に判定された場合、ニンニク用のマウスウォッシュの使用を促す通知処理を、対応処理に決定する。また、クラウド13の決定部704は、歯周病の匂いが、匂いの種類に判定された場合、歯周病を治療するマウスウォッシュ1203の使用を促す通知処理を、対応処理に決定する。また、クラウド13の決定部704は、消化不良による口臭が、匂いの種類に判定された場合、胃薬や整腸剤の使用を促す通知処理を、対応処理に決定する。また、クラウド13の決定部704は、図12に示すように、判定された匂いの種類が相手に対して与える迷惑の度合いを表示装置1202に表示する処理を、対応処理に決定する。また、クラウド13の決定部704は、判定された匂いの種類が、マウスウォッシュ1203や薬の処方では脱臭できない匂いの種類の場合、相手に対して口臭の影響がでない距離や、マウスウォッシュ1203や薬の処方の効果が無くなる時間を、表示装置1202に表示する処理を、対応処理に決定しても良い。 Specifically, when the odor of dumplings is determined to be the type of odor, the determination unit 704 of the cloud 13 determines the notification process for urging the use of mouthwash for garlic as the corresponding process. Further, when the odor of periodontal disease is determined to be the type of odor, the determination unit 704 of the cloud 13 determines the notification process for encouraging the use of the mouthwash 1203 for treating the periodontal disease as the corresponding process. Further, when the bad breath due to indigestion is determined to be the type of odor, the determination unit 704 of the cloud 13 determines the notification process for encouraging the use of a stomach medicine or an intestinal regulator as a corresponding process. Further, as shown in FIG. 12, the determination unit 704 of the cloud 13 determines the process of displaying the degree of inconvenience caused by the determined odor type to the other party on the display device 1202 as the corresponding process. Further, in the determination unit 704 of the cloud 13, when the determined odor type is the mouthwash 1203 or the odor type that cannot be deodorized by the prescription of the medicine, the distance at which the bad breath does not affect the other party, the mouthwash 1203, or the like. The process of displaying the time when the effect of prescribing the drug disappears on the display device 1202 may be determined as the corresponding process.
 例えば、本実施形態にかかる匂い判定システム10を、体臭対策にも用いる場合、接客業のオフィスや、ホテル、ランニングステーション等に設置される密閉空間(例えば、部屋)に、匂いセンサ11を設置する。そして、クラウド13の匂い判定部703は、対象者が密閉空間に入った際の匂いセンサ11が有する検出素子Fの検出値が所定の閾値を超えた場合、複数の検出値に基づいて、匂いの種類を判定する。次いで、クラウド13の決定部704は、判定した匂いの種類に対応する対応処理を決定する。 For example, when the odor determination system 10 according to the present embodiment is also used as a measure against body odor, the odor sensor 11 is installed in a closed space (for example, a room) installed in an office in the hospitality industry, a hotel, a running station, or the like. .. Then, when the detection value of the detection element F possessed by the odor sensor 11 when the subject enters the closed space, the odor determination unit 703 of the cloud 13 exceeds a predetermined threshold value, the odor determination unit 703 is based on a plurality of detection values. Judge the type of. Next, the determination unit 704 of the cloud 13 determines the corresponding processing corresponding to the determined odor type.
 具体的には、クラウド13の決定部704は、汗の匂いが、匂いの種類に判定された場合、デオドラントスプレーの噴霧を、対応処理に決定する。また、クラウド13の決定部704は、衣類の生乾きによる匂いが、匂いの種類に判定された場合、抗菌スプレーの噴霧を、対応処理に決定する。また、クラウド13の決定部704は、腋臭の匂いが、匂いの種類に判定された場合、腋を中心とする消臭スプレーの噴霧を、対応処理に決定する。また、クラウド13の決定部704は、足の匂いが、匂いの種類に判定された場合、足を中心とする消臭スプレーの噴霧を、対応処理に決定する。また、クラウド13の決定部704は、頭皮の匂いが、匂いの種類に判定された場合、髪用のフレグランスの噴霧を、対応処理に決定する。 Specifically, when the odor of sweat is determined to be the type of odor, the determination unit 704 of the cloud 13 determines the spraying of the deodorant spray as the corresponding process. Further, the determination unit 704 of the cloud 13 determines the spraying of the antibacterial spray as the corresponding treatment when the odor due to the dryness of the clothes is determined to be the type of odor. Further, when the odor of the axillary odor is determined to be the type of odor, the determination unit 704 of the cloud 13 determines the spraying of the deodorant spray centering on the axilla as the corresponding process. Further, when the odor of the foot is determined to be the type of odor, the determination unit 704 of the cloud 13 determines the spraying of the deodorant spray centering on the foot as the corresponding process. Further, when the odor of the scalp is determined to be the type of odor, the determination unit 704 of the cloud 13 determines the spraying of the fragrance for hair as a corresponding process.
 次に、本実施形態にかかる匂い判定システム10を重要施設(例えば、データセンタや、神社仏閣、発電所、変電所)の危険予知に適用する例について説明する。 Next, an example of applying the odor determination system 10 according to the present embodiment to risk prediction of important facilities (for example, data centers, shrines and temples, power plants, substations) will be described.
 例えば、本実施形態にかかる匂い判定システム10を、データセンタ1301や、発電所、変電所1302の危険予知に用いる場合、図13に示すように、データセンタ1301に設置される情報処理装置1301aや、発電所または変電所1302の配電盤1302a、分電盤1302b、および制御盤1302cに匂いセンサ11を設置する。そして、クラウド13の匂い判定部703は、匂いセンサ11が有する検出素子Fの検出値が所定の閾値を超えた場合、複数の検出値に基づいて、匂いの種類を判定する。次いで、クラウド13の決定部704は、配線が焦げる匂いが、匂いの種類に判定された場合、火災が発生する可能性があることを通知するアラートを、対応処理に決定する。 For example, when the odor determination system 10 according to the present embodiment is used for risk prediction of a data center 1301, a power plant, or a substation 1302, as shown in FIG. 13, an information processing device 1301a installed in the data center 1301 or , The odor sensor 11 is installed on the distribution board 1302a, the distribution board 1302b, and the control board 1302c of the power plant or the substation 1302. Then, when the detection value of the detection element F included in the odor sensor 11 exceeds a predetermined threshold value, the odor determination unit 703 of the cloud 13 determines the type of odor based on the plurality of detection values. Next, the determination unit 704 of the cloud 13 determines in the response process an alert notifying that a fire may occur when the odor of burning wiring is determined as the type of odor.
 従来、データセンタ1301に設置される煙検知器によって煙を検知する場合、データセンタ1301内において煙を出している場所を特定するためには、データセンタ1301内に人が入っていく必要がある。一方、本実施形態にかかる匂い判定システム10によれば、判定された匂いの種類の検出値を検出した検出素子Fの場所を特定すれば、データセンタ1301内において煙が発生している場所を容易に特定することができる。 Conventionally, when smoke is detected by a smoke detector installed in the data center 1301, it is necessary for a person to enter the data center 1301 in order to identify the place where the smoke is emitted in the data center 1301. .. On the other hand, according to the odor determination system 10 according to the present embodiment, if the location of the detection element F that detects the detected value of the determined odor type is specified, the location where smoke is generated in the data center 1301 can be determined. It can be easily identified.
 また、発電所または変電所1302に存在する配線からは煙が出難いため、煙検知器によっては、被害が大きくなるまで、配線からの煙を検知することができない場合がある。一方、本実施形態にかかる匂い判定システム10によれば、発電所や変電所1302に匂いセンサ11を設置しておけば、被害が大きくなる前に、配線の焦げに対する対応処理を実行可能となる。また、匂いセンサ11が有する検出素子Fの検出値に加えて、光で空気中の粒子を計測する埃センサを用いて、煙の発生を検知することにより、配線の焦げに対する対応処理の精度、および対応処理を実行するまでの時間を短縮することができる。 In addition, since it is difficult for smoke to be emitted from the wiring existing in the power plant or substation 1302, depending on the smoke detector, it may not be possible to detect smoke from the wiring until the damage becomes large. On the other hand, according to the odor determination system 10 according to the present embodiment, if the odor sensor 11 is installed in the power plant or the substation 1302, it is possible to execute the processing for dealing with the scorching of the wiring before the damage becomes large. .. Further, in addition to the detection value of the detection element F possessed by the odor sensor 11, a dust sensor that measures particles in the air with light is used to detect the generation of smoke, so that the accuracy of the processing for dealing with the scorching of the wiring can be determined. And the time until the corresponding process is executed can be shortened.
 このように、第1の実施形態にかかる匂い判定システム10によれば、匂いの種類の判定結果に基づいて、自動的に、匂いの種類に対応する対応処理が実行可能となる。 As described above, according to the odor determination system 10 according to the first embodiment, it is possible to automatically execute the corresponding processing corresponding to the odor type based on the determination result of the odor type.
(第2の実施形態)
 本実施形態は、複数の検出値をパターン化した匂いパターンと、匂いの種類の候補毎に設定される基準の匂いパターンであるリファレンスパターンと、の類似度に基づいて、対応処理を決定する例である。以下の説明では、第1の実施形態と同様の構成については説明を省略する。
(Second Embodiment)
In this embodiment, an example in which a corresponding process is determined based on the degree of similarity between an odor pattern in which a plurality of detected values are patterned and a reference pattern which is a reference odor pattern set for each odor type candidate. Is. In the following description, description of the same configuration as that of the first embodiment will be omitted.
 本実施形態では、クラウド13の決定部704は、複数の検出値をパターン化した匂いパターンと、リファレンスパターンと、の類似度を求める。ここで、リファレンスパターンは、判定対象の匂いの種類の候補毎に予め設定され、匂いパターンの基準となるパターンである。 In the present embodiment, the determination unit 704 of the cloud 13 obtains the degree of similarity between the odor pattern in which a plurality of detected values are patterned and the reference pattern. Here, the reference pattern is a pattern that is preset for each candidate for the type of odor to be determined and serves as a reference for the odor pattern.
 そして、決定部704は、求めた類似度が、所定の類似度以上である場合に、対応処理を決定する。ここで、所定の類似度は、予め設定される類似度であり、対応処理を実行する類似度の下限値(例えば、50%)である。これにより、検出素子Fによる検出値の測定誤差等の揺らぎによって、誤った対応処理が決定されること防止できる。その結果、誤った対応処理が実行されて、匂いが悪化することを防止する。 Then, the determination unit 704 determines the corresponding processing when the obtained similarity is equal to or higher than the predetermined similarity. Here, the predetermined similarity is a preset similarity, which is a lower limit value (for example, 50%) of the similarity for executing the corresponding process. As a result, it is possible to prevent an erroneous response process from being determined due to fluctuations such as a measurement error of the detected value by the detection element F. As a result, it is possible to prevent the odor from being exacerbated by executing an erroneous response process.
 一方、決定部704は、求めた類似度が所定の類似度未満である場合、対応処理を決定しない。例えば、匂いを発生させている火災の原因によって対応処理が異なる場合に、誤った対応処理が実行されると、火災を悪化させる場合がある。そのため、決定部704は、上述したように、求めた類似度が、所定の類似度以上である場合に、対応処理を決定する。 On the other hand, the determination unit 704 does not determine the corresponding processing when the obtained similarity is less than the predetermined similarity. For example, when the response process differs depending on the cause of the fire that is causing the odor, if the wrong response process is executed, the fire may be exacerbated. Therefore, as described above, the determination unit 704 determines the corresponding process when the obtained similarity is equal to or higher than the predetermined similarity.
 例えば、匂いパターンとリファレンスパターンAとの類似度が34%であり、匂いパターンとリファレンスパターンBとの類似度が33%であり、匂いパターンとリファレンスパターンCとの類似度が33%である場合、匂いの種類は、リファレンスパターンAの匂いの種類である可能性が高いが、リファレンスパターンB,Cの匂いの種類にも近い。 For example, when the similarity between the odor pattern and the reference pattern A is 34%, the similarity between the odor pattern and the reference pattern B is 33%, and the similarity between the odor pattern and the reference pattern C is 33%. , The type of odor is likely to be the type of odor of reference pattern A, but is also close to the type of odor of reference patterns B and C.
 そのため、この場合、決定部704は、匂いパターンと、リファレンスパターンA~Cのそれぞれと、の類似度が所定の類似度未満であるため、対応処理を決定しない。そして、上述した取得部701は、複数の検出素子Fの検出値を取得し直す。また、匂い判定部703は、類似度が所定の類似度未満である場合、新たに取得される複数の検出値に基づいて、匂いの種類を判定し直す。これにより、匂いパターンとリファレンスパターンA~Cとの類似度が低く、匂いの種類の判定結果の信頼性が低い場合、匂いの種類を判定しなおし、信頼性の高い匂いの種類の判定結果に基づいて、対応処理が決定可能となる。その結果、匂いの種類の判定結果により適した対応処理が実行可能となる。 Therefore, in this case, the determination unit 704 does not determine the corresponding processing because the similarity between the odor pattern and each of the reference patterns A to C is less than the predetermined similarity. Then, the acquisition unit 701 described above reacquires the detection values of the plurality of detection elements F. Further, when the degree of similarity is less than a predetermined degree of similarity, the odor determination unit 703 redetermines the type of odor based on a plurality of newly acquired detected values. As a result, when the similarity between the odor pattern and the reference patterns A to C is low and the reliability of the odor type determination result is low, the odor type is re-determined and the odor type determination result with high reliability is obtained. Based on this, the corresponding processing can be determined. As a result, it becomes possible to execute a corresponding process that is more suitable for the determination result of the type of odor.
 また、匂い判定部703は、複数のリファレンスパターンA~Cのうち、類似度が予め設定された回数連続して最も高いリファレンスパターンに対応する匂いの種類の候補を、匂いの種類と判定することも可能である。すなわち、複数のリファレンスパターンA~Cのうち、類似度が予め設定された回数連続して最も高いリファレンスパターンに対応する匂いの種類の候補が、匂い判定部703による匂いの種類の判定結果である。例えば、匂いパターンとリファレンスパターンA~Cのそれぞれとの類似度のうち、匂いパターンとリファレンスパターンAとの類似度が、予め設定された回数連続して、最も高かった場合、匂い判定部703は、リファレンスパターンAに対応する匂いの種類の候補を、匂いの種類と判定する。これにより、匂いパターンとリファレンスパターンA~Cのそれぞれとの類似度に基づいて、より信頼性の高い匂いの種類の判定結果に基づいて対応処理が決定可能となる。その結果、匂いの種類の判定結果により適した対応処理が実行可能となる。本実施形態では、匂い判定部703は、匂いパターンと、リファレンスパターンA~Cのそれぞれとの類似度が所定の類似度未満である場合に、複数のリファレンスパターンA~Cのうち、類似度が予め設定された回数連続して最も高いリファレンスパターンに対応する匂いの種類の候補を、匂いの種類と判定するものとする。 Further, the odor determination unit 703 determines the odor type candidate corresponding to the reference pattern having the highest degree of similarity consecutively a preset number of times among the plurality of reference patterns A to C as the odor type. Is also possible. That is, among the plurality of reference patterns A to C, the odor type candidate corresponding to the reference pattern having the highest similarity consecutively a preset number of times is the odor type determination result by the odor determination unit 703. .. For example, when the similarity between the odor pattern and the reference pattern A is the highest among the similarity between the odor pattern and the reference patterns A to C for a preset number of times in a row, the odor determination unit 703 may perform the odor determination unit 703. , The candidate of the odor type corresponding to the reference pattern A is determined as the odor type. As a result, the corresponding processing can be determined based on the determination result of the more reliable odor type based on the similarity between the odor pattern and each of the reference patterns A to C. As a result, it becomes possible to execute a corresponding process that is more suitable for the determination result of the type of odor. In the present embodiment, when the degree of similarity between the odor pattern and each of the reference patterns A to C is less than the predetermined degree of similarity, the odor determination unit 703 determines the degree of similarity among the plurality of reference patterns A to C. The odor type candidate corresponding to the highest reference pattern in succession for a preset number of times shall be determined as the odor type.
 また、本実施形態では、決定部704は、求めた類似度に応じて、対応処理を変更することも可能である。例えば、対応処理が消臭剤の噴霧の場合、決定部704は、求めた類似度が大きくなるに従って、噴霧する消臭剤の量が多い対応処理に変更する。また、対応処理がオゾンの発生である場合、決定部704は、求めた類似度が大きくになるに従って、オゾンの発生量が多い対応処理に変更する。また、対応処理が空気清浄器の稼働である場合、決定部704は、求めた類似度が大きくなるに従って、空気清浄機の稼働時間を長い対応処理に変更する。 Further, in the present embodiment, the determination unit 704 can change the corresponding processing according to the obtained similarity. For example, when the corresponding treatment is spraying a deodorant, the determination unit 704 changes to a corresponding treatment in which the amount of the deodorant to be sprayed increases as the obtained similarity increases. Further, when the corresponding treatment is the generation of ozone, the determination unit 704 changes to the corresponding treatment in which the amount of ozone generated is large as the obtained similarity becomes large. Further, when the corresponding process is the operation of the air purifier, the determination unit 704 changes the operating time of the air purifier to the longer corresponding process as the obtained similarity increases.
 また、本実施形態では、匂い判定部703によって複数の匂いの種類が判定されて、当該複数の匂いの種類のそれぞれに対応する対応処理が決定された場合、決定部704は、決定された複数の対応処理間の関係に基づいて、決定した対応処理を変更することも可能である。これにより、匂い判定部703によって複数の匂いの種類が判定されて、当該複数の匂いの種類のそれぞれに対応する対応処理が決定された場合に、同時に実行すると、匂い等が悪化する複数の対応処理が、同時に実行されることを防止できる。 Further, in the present embodiment, when a plurality of odor types are determined by the odor determination unit 703 and the corresponding processing corresponding to each of the plurality of odor types is determined, the determination unit 704 is determined by the plurality of determined odor types. It is also possible to change the determined correspondence process based on the relationship between the correspondence processes of. As a result, when a plurality of odor types are determined by the odor determination unit 703 and corresponding processes corresponding to each of the plurality of odor types are determined, if they are executed at the same time, the odors and the like are deteriorated. It is possible to prevent the processes from being executed at the same time.
 例えば、決定した複数の対応処理を同時に実行すると、匂い等が悪化する場合、決定部704は、当該決定した複数の対応処理のうちいずれか一方を実行する。その際、決定部704は、決定した複数の対応処理のうち、匂いパターンとの類似度が最も高いリファレンスパターンの匂いの種類に対応する対応処理を選択する。または、決定した複数の対応処理を同時に実行すると、匂い等が悪化する場合、決定部704は、対応処理の決定結果を破棄することも可能である。 For example, if the odor or the like deteriorates when a plurality of determined corresponding processes are executed at the same time, the determination unit 704 executes one of the determined plurality of corresponding processes. At that time, the determination unit 704 selects the corresponding process corresponding to the type of odor of the reference pattern having the highest degree of similarity to the odor pattern among the plurality of determined corresponding processes. Alternatively, if the odor or the like deteriorates when a plurality of determined corresponding processes are executed at the same time, the determination unit 704 can discard the determined result of the corresponding process.
 さらに、本実施形態では、決定部704は、検出素子Fの設置箇所の温度および湿度の少なくとも一方に基づいて、決定した対応処理を変更することも可能である。例えば、決定部704は、検出素子F近傍に設置されたセンサから、検出素子Fの設置個所の温度や湿度を取得する。そして、決定部704は、取得した温度や湿度が、所定の温度または湿度の範囲に属する場合には、対応処理を変更(例えば、対応処理の破棄)する。ここで、所定の温度または湿度の範囲は、予め設定される温度または湿度の範囲である。 Further, in the present embodiment, the determination unit 704 can change the determined response process based on at least one of the temperature and humidity of the installation location of the detection element F. For example, the determination unit 704 acquires the temperature and humidity of the location where the detection element F is installed from the sensor installed near the detection element F. Then, when the acquired temperature or humidity belongs to a predetermined temperature or humidity range, the determination unit 704 changes the corresponding process (for example, discards the corresponding process). Here, the predetermined temperature or humidity range is a preset temperature or humidity range.
 図14は、第2の実施形態にかかる匂い判定システムが有するクラウドによる対応処理の決定処理の流れの他の例を示すフローチャートである。 FIG. 14 is a flowchart showing another example of the flow of the process of determining the corresponding process by the cloud included in the odor determination system according to the second embodiment.
 次に、図14を用いて、クラウド13による対応処理の決定処理の流れの他の例について説明する。図14に示すステップS801~S803は、図8と同様であるため、説明を省略する。 Next, another example of the flow of the determination processing of the corresponding processing by the cloud 13 will be described with reference to FIG. Since steps S801 to S803 shown in FIG. 14 are the same as those in FIG. 8, the description thereof will be omitted.
 決定部704は、匂いパターンと、複数のリファレンスパターン(例えば、3つのリファレンスパターンA~C)のそれぞれと、の類似度を求める(ステップS1401)。ここでは、決定部704は、3つのリファレンスパターンA~Cのそれぞれと、匂いパターンと、の類似度を求めているが、複数のリファレンスパターンと、匂いパターンと、の類似度を求めるものであれば、これに限定するものではない。 The determination unit 704 determines the degree of similarity between the odor pattern and each of the plurality of reference patterns (for example, the three reference patterns A to C) (step S1401). Here, the determination unit 704 obtains the similarity between each of the three reference patterns A to C and the odor pattern, but may obtain the similarity between the plurality of reference patterns and the odor pattern. For example, it is not limited to this.
 次いで、決定部704は、複数のリファレンスパターンのそれぞれに対応する匂いの種類毎に、求めた類似度が、所定の類似度以上であるか否かを判定する(ステップS1402)。そして、決定部704は、求めた類似度が所定の類似度以上であると判定された匂いの種類について(ステップS1402:Yes)、当該匂いの種類に対応する対応処理を決定する(ステップS1403)。一方、決定部704は、求めた類似度が所定の類似度未満であると判定された匂いの種類については(ステップS1402:No)、当該匂いの種類に対応する対応処理を決定しない。 Next, the determination unit 704 determines whether or not the obtained similarity is equal to or higher than the predetermined similarity for each type of odor corresponding to each of the plurality of reference patterns (step S1402). Then, the determination unit 704 determines the corresponding processing corresponding to the type of odor for the type of odor determined that the obtained similarity is equal to or higher than the predetermined degree of similarity (step S1402: Yes) (step S1403). .. On the other hand, the determination unit 704 does not determine the corresponding processing corresponding to the type of odor for the type of odor determined that the obtained similarity is less than the predetermined degree of similarity (step S1402: No).
 このように、第2の実施形態にかかる匂い判定システム10によれば、検出素子Fによる検出値の測定誤差等の揺らぎによって、誤った対応処理が決定されること防止できるので、誤った対応処理が実行されて、匂いが悪化することを防止する。 As described above, according to the odor determination system 10 according to the second embodiment, it is possible to prevent the erroneous response process from being determined due to fluctuations in the measurement error of the detected value by the detection element F, and thus the erroneous response process. Is performed to prevent the odor from getting worse.
(第3の実施形態)
 本実施形態は、同じ匂いの種類が判定された回数に基づいて、対応処理を決定する例である。以下の説明では、第1の実施形態と同様の構成については説明を省略する。
(Third Embodiment)
This embodiment is an example of determining the corresponding processing based on the number of times that the same odor type is determined. In the following description, description of the same configuration as that of the first embodiment will be omitted.
 本実施形態では、クラウド13の決定部704は、所定の回数n(nは、1以上の整数。例えば、n=3)以上連続して、匂い判定部703によって同じ匂いの種類が判定された場合に、対応処理を決定する。ここで、所定の回数は、予め設定される回数であり、匂い判定部703による匂いの種類の判定結果の信頼性が高い判定する回数である。 In the present embodiment, the determination unit 704 of the cloud 13 continuously determines the same odor type by the odor determination unit 703 for a predetermined number of times n (n is an integer of 1 or more. For example, n = 3) or more. If so, determine the corresponding process. Here, the predetermined number of times is a preset number of times, and is a number of times for which the odor determination unit 703 determines with high reliability the determination result of the type of odor.
 これにより、誤った匂いの種類の判定結果に基づいて対応処理が決定されることを抑制できる。その結果、匂いに対して適切な対応処理を実行する可能性を高くすることができる。また、一時的に発生している匂いに対しては対応処理が実行されず、一定時間継続して匂いが発生している場合に対応処理(例えば、消臭剤の噴霧)が実行されるので、一時的に発生している匂いに対して対応処理が実行されることによる外部機器X(例えば、消臭剤噴霧器)の負荷を軽減することができる。 This makes it possible to prevent the corresponding process from being determined based on the determination result of the wrong odor type. As a result, it is possible to increase the possibility of executing an appropriate response process for the odor. In addition, the response process is not executed for the temporarily generated odor, and the response process (for example, spraying of deodorant) is executed when the odor is continuously generated for a certain period of time. It is possible to reduce the load on the external device X (for example, the deodorant sprayer) due to the execution of the corresponding processing for the temporarily generated odor.
 本実施形態では、決定部704は、同じ匂いの種類が判定された回数に基づいて、対応処理を決定しているが、これに限定するものではない。例えば、決定部704は、同じ匂いの種類が判定され続けている時間に基づいて、対応処理を決定しても良い。 In the present embodiment, the determination unit 704 determines the corresponding processing based on the number of times that the same odor type is determined, but the present invention is not limited to this. For example, the determination unit 704 may determine the corresponding process based on the time during which the same odor type continues to be determined.
 具体的には、決定部704は、所定時間継続して、同じ匂いの種類が判定され続けた場合に、当該匂いの種類に対応する対応処理を決定する。一方、決定部704は、同じ匂いの種類が判定され続けている時間が、所定時間未満である場合、対応処理を決定しない。これにより、一時的に発生している匂いに対しては対応処理が実行されず、一定時間継続して匂いが発生している場合に対応処理が実行されるので、一時的に発生している匂いに対して対応処理が実行されることによる外部機器Xの負荷を軽減することができる。 Specifically, the determination unit 704 determines the corresponding processing corresponding to the type of odor when the same type of odor continues to be determined for a predetermined time. On the other hand, the determination unit 704 does not determine the corresponding process when the time during which the same odor type continues to be determined is less than a predetermined time. As a result, the response process is not executed for the temporarily generated odor, and the response process is executed when the odor is continuously generated for a certain period of time, so that the response process is temporarily generated. It is possible to reduce the load on the external device X due to the execution of the corresponding processing for the odor.
 図15は、第3の実施形態にかかる匂い判定システムが有するクラウドによる対応処理の決定処理の流れの他の例を示すフローチャートである。 FIG. 15 is a flowchart showing another example of the flow of the process of determining the corresponding process by the cloud included in the odor determination system according to the third embodiment.
 次に、図15を用いて、クラウド13による対応処理の決定処理の流れの他の例について説明する。図15に示すステップS801~S803は、図8と同様であるため、説明を省略する。 Next, another example of the flow of the determination processing of the corresponding processing by the cloud 13 will be described with reference to FIG. Since steps S801 to S803 shown in FIG. 15 are the same as those in FIG. 8, the description thereof will be omitted.
 決定部704は、匂い判定部703により判定される匂いの種類毎に、所定の回数n(例えば、3回)以上連続して、同じ匂いの種類が判定されたか否かを判断する(ステップS1501)。 The determination unit 704 determines whether or not the same odor type has been determined consecutively for a predetermined number of times n (for example, three times) or more for each odor type determined by the odor determination unit 703 (step S1501). ).
 所定の回数n以上連続して、匂い判定部703によって同じ匂いの種類が判定されたと判断した場合(ステップS1501:Yes)、決定部704は、匂い判定部703により判定される匂いの種類に対応する対応処理を決定する(ステップS1502)。 When it is determined that the same odor type is determined by the odor determination unit 703 (step S1501: Yes) in succession for a predetermined number of times n or more, the determination unit 704 corresponds to the odor type determined by the odor determination unit 703. The corresponding processing to be performed is determined (step S1502).
 一方、所定の回数n以上連続して、匂い判定部703によって同じ匂いの種類が判定されていないと判断した場合(ステップS1501:No)、決定部704は、匂い判定部703により判定される匂いの種類に対応する対応処理を決定しない。 On the other hand, when it is determined that the same odor type is not determined by the odor determination unit 703 for a predetermined number of times n or more (step S1501: No), the determination unit 704 determines the odor by the odor determination unit 703. Do not determine the corresponding processing corresponding to the type of.
 このように、第3の実施形態にかかる匂い判定システム10によれば、誤った匂いの種類の判定結果に基づいて対応処理が決定されることを抑制できるので、匂いに対して適切な対応処理を実行する可能性を高くすることができる。また、一時的に発生している匂いに対しては対応処理が実行されず、一定時間継続して匂いが発生している場合に対応処理が実行されるので、一時的に発生している匂いに対して対応処理が実行されることによる外部機器Xの負荷を軽減することができる。 As described above, according to the odor determination system 10 according to the third embodiment, it is possible to prevent the response process from being determined based on the determination result of the wrong odor type, so that an appropriate response process for the odor can be suppressed. Can be more likely to be executed. In addition, the response process is not executed for the temporarily generated odor, and the response process is executed when the odor is continuously generated for a certain period of time, so that the temporarily generated odor is generated. It is possible to reduce the load on the external device X due to the corresponding processing being executed.
(第4の実施形態)
 本実施形態は、SCUにおいて、匂いの種類に対応する対応処理を決定する例である。以下の説明では、第1~3の実施形態と同様の箇所については、説明を省略する。
(Fourth Embodiment)
This embodiment is an example of determining a corresponding process corresponding to the type of odor in SCU. In the following description, the description of the same parts as those in the first to third embodiments will be omitted.
 図16は、第4の実施形態にかかる匂い判定システムが有するSCUの機能構成の一例を示す図である。 FIG. 16 is a diagram showing an example of the functional configuration of the SCU included in the odor determination system according to the fourth embodiment.
 本実施形態では、CPU121は、ROM122またはメモリ部124に記憶される各種プログラムをRAM123に展開し、当該展開した各種プログラムを実行することにより、取得部701、判断部702、匂い判定部703、および決定部704として機能する。本実施形態では、CPU121が、匂い判定装置の一例である。 In the present embodiment, the CPU 121 expands various programs stored in the ROM 122 or the memory unit 124 into the RAM 123, and executes the expanded various programs to execute the acquisition unit 701, the determination unit 702, the odor determination unit 703, and the odor determination unit 703. It functions as a determination unit 704. In this embodiment, the CPU 121 is an example of an odor determination device.
 これにより、SCU12が、ネットワークに接続されておらず、クラウド13と通信することができない場面(例えば、SCU12が車や船に搭載されている場合)においても、匂いの種類を判定し、当該判定した匂いの種類に対応する対応処理が実行可能となる。 As a result, even in a situation where the SCU 12 is not connected to the network and cannot communicate with the cloud 13 (for example, when the SCU 12 is mounted on a car or a ship), the type of odor is determined and the determination is made. Corresponding processing corresponding to the type of odor can be executed.
 本実施形態では、匂い判定部703は、クラウド13から、当該クラウド13における学習処理により生成される判定情報を、予めダウンロードしておくものとする。そして、匂い判定部703は、ダウンロードした判定情報を用いて、複数の検出素子Fの検出値に基づいて、匂いの種類を判定するものとする。 In the present embodiment, the odor determination unit 703 shall download in advance the determination information generated by the learning process in the cloud 13 from the cloud 13. Then, the odor determination unit 703 determines the type of odor based on the detection values of the plurality of detection elements F by using the downloaded determination information.
 本実施形態においても、決定部704は、Web API等によって、匂いの種類の判定結果や対応処理の決定結果を、外部機器制御モジュール14や携帯端末15に公開するものとする。 Also in this embodiment, the determination unit 704 shall disclose the determination result of the type of odor and the determination result of the corresponding processing to the external device control module 14 and the mobile terminal 15 by the Web API or the like.
 本実施形態では、SCU12と外部機器制御モジュール14は、別々の機器により実現されているが、SCU12が、外部機器Xと接続されるI/O拡張ボードやリレー出力ボードに接続されている場合には、SCU12において、外部機器制御モジュール14の機能を実現することが可能である。 In the present embodiment, the SCU 12 and the external device control module 14 are realized by separate devices, but when the SCU 12 is connected to an I / O expansion board or a relay output board connected to the external device X. Can realize the function of the external device control module 14 in the SCU 12.
 ただし、SCU12が市販のゲートウェイのように専用の筐体内に搭載されており、I/O拡張ボードやリレー出力ボードと接続することが困難な場合、SCU12と外部機器制御モジュール14とを別々の機器により実現する必要がある。 However, if the SCU 12 is mounted in a dedicated housing like a commercially available gateway and it is difficult to connect to the I / O expansion board or relay output board, the SCU 12 and the external device control module 14 are separated devices. Need to be realized by.
 このように、第4の実施形態にかかる匂い判定システム10によれば、SCU12が、ネットワークに接続されておらず、クラウド13と通信することができない場面(例えば、SCU12が車や船に搭載されている場合)においても、匂いの種類を判定し、当該判定した匂いの種類に対応する対応処理が実行可能となる。 As described above, according to the odor determination system 10 according to the fourth embodiment, the SCU 12 is not connected to the network and cannot communicate with the cloud 13 (for example, the SCU 12 is mounted on a car or a ship. In this case as well, the type of odor can be determined, and the corresponding processing corresponding to the determined type of odor can be executed.
 以上説明したとおり、第1から第4の実施形態によれば、匂いの種類の判定結果に基づいて、自動的に、匂いの種類に対応する対応処理が実行可能となる。 As described above, according to the first to fourth embodiments, it is possible to automatically execute the corresponding processing corresponding to the odor type based on the determination result of the odor type.
 なお、本実施形態の匂い判定システム10で実行されるプログラムは、ROM等に予め組み込まれて提供される。本実施形態の匂い判定システム10で実行されるプログラムは、インストール可能な形式又は実行可能な形式のファイルでCD-ROM、フレキシブルディスク(FD)、CD-R、DVD(Digital Versatile Disk)等のコンピュータで読み取り可能な記録媒体に記録して提供するように構成してもよい。 The program executed by the odor determination system 10 of the present embodiment is provided by being incorporated in a ROM or the like in advance. The program executed by the odor determination system 10 of the present embodiment is a computer in an installable format or an executable format, such as a CD-ROM, a flexible disk (FD), a CD-R, or a DVD (Digital Versatile Disk). It may be configured to be recorded and provided on a recording medium that can be read by.
 さらに、本実施形態の匂い判定システム10で実行されるプログラムを、インターネット等のネットワークに接続されたコンピュータ上に格納し、ネットワーク経由でダウンロードさせることにより提供するように構成しても良い。また、本実施形態の匂い判定システム10で実行されるプログラムをインターネット等のネットワーク経由で提供または配布するように構成しても良い。 Further, the program executed by the odor determination system 10 of the present embodiment may be stored on a computer connected to a network such as the Internet and provided by downloading via the network. Further, the program executed by the odor determination system 10 of the present embodiment may be configured to be provided or distributed via a network such as the Internet.
 本実施形態の匂い判定システム10で実行されるプログラムは、上述した各部(取得部701、判断部702、匂い判定部703、決定部704)を含むモジュール構成となっており、実際のハードウェアとしてはCPUが上記ROMからプログラムを読み出して実行することにより上記各部が主記憶装置上にロードされ、取得部701、判断部702、匂い判定部703、決定部704が主記憶装置上に生成されるようになっている。 The program executed by the odor determination system 10 of the present embodiment has a modular configuration including the above-mentioned parts (acquisition unit 701, determination unit 702, odor determination unit 703, determination unit 704), and is used as actual hardware. When the CPU reads the program from the ROM and executes the program, each of the above units is loaded on the main storage device, and the acquisition unit 701, the determination unit 702, the odor determination unit 703, and the determination unit 704 are generated on the main storage device. It has become like.
 本発明のいくつかの実施形態を説明したが、これらの実施形態は、例として提示したものであり、発明の範囲を限定することは意図していない。これら新規な実施形態は、その他の様々な形態で実施されることが可能であり、発明の要旨を逸脱しない範囲で、種々の省略、置き換え、変更を行うことができる。これら実施形態やその変形は、発明の範囲や要旨に含まれるとともに、請求の範囲に記載された発明とその均等の範囲に含まれる。 Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are also included in the scope of the invention described in the claims and the equivalent scope thereof.
 10 匂い判定システム
 11 匂いセンサ
 12 SCU
 13 クラウド
 14 外部機器制御モジュール
 15 携帯端末
 121,131 CPU
 122,132 ROM
 123,133 RAM
 124,134 メモリ部
 125,135 データバス
 126,136 コントローラ
 127,137 操作部
 128,138 表示部
 129,139 通信I/F
 701 取得部
 702 判断部
 703 匂い判定部
 704 決定部
 F 検出素子
 X 外部機器
10 Smell judgment system 11 Smell sensor 12 SCU
13 Cloud 14 External device control module 15 Mobile terminal 121,131 CPU
122,132 ROM
123,133 RAM
124,134 Memory unit 125,135 Data bus 126,136 Controller 127,137 Operation unit 128,138 Display unit 129,139 Communication I / F
701 Acquisition unit 702 Judgment unit 703 Smell judgment unit 704 Determining unit F Detection element X External device

Claims (11)

  1.  複数の検出素子のそれぞれから得られた検出値を取得する取得部と、
     前記検出値が予め設定された閾値を超えたか否かを判断する判断部と、
     前記複数の検出素子のうち少なくとも1つの前記検出素子の前記検出値が前記閾値を超えた場合に、前記取得部により取得した複数の前記検出値をパターン化した匂いパターンに基づいて、匂いの種類を判定する匂い判定部と、
     前記匂い判定部により判定された匂いの種類に対応する対応処理を決定する決定部と、
     を備える匂い判定装置。
    An acquisition unit that acquires detection values obtained from each of a plurality of detection elements,
    A determination unit that determines whether or not the detected value exceeds a preset threshold value, and
    When the detection value of at least one of the plurality of detection elements exceeds the threshold value, the type of odor is based on the odor pattern in which the plurality of detection values acquired by the acquisition unit are patterned. The odor judgment unit that determines
    A determination unit that determines a corresponding process corresponding to the type of odor determined by the odor determination unit, and a determination unit.
    An odor determination device equipped with.
  2.  前記匂い判定部は、前記取得部により取得した複数の前記検出値から、匂いの種類の特徴量を抽出し、当該特徴量に基づいて、匂いの種類を判定する請求項1に記載の匂い判定装置。 The odor determination according to claim 1, wherein the odor determination unit extracts a feature amount of an odor type from a plurality of the detected values acquired by the acquisition unit, and determines the type of odor based on the feature amount. Device.
  3.  前記決定部は、前記匂いパターンと、匂いの種類の候補毎に設定されるリファレンスパターンと、の類似度が、所定の類似度以上である場合に、前記対応処理を決定する請求項1または2に記載の匂い判定装置。 The determination unit determines the corresponding processing when the similarity between the odor pattern and the reference pattern set for each odor type candidate is equal to or higher than a predetermined similarity, claim 1 or 2. The odor determination device described in 1.
  4.  前記匂い判定部は、前記類似度が前記所定の類似度未満である場合、匂いの種類を判定し直す請求項3に記載の匂い判定装置。 The odor determination device according to claim 3, wherein the odor determination unit redetermines the type of odor when the similarity is less than the predetermined similarity.
  5.  前記複数のリファレンスパターンのうち、前記類似度が所定回数連続して最も高い前記リファレンスパターンに対応する前記匂いの種類の候補が、前記匂い判定部による匂いの種類の判定結果である請求項3または4に記載の匂い判定装置。 Among the plurality of reference patterns, the odor type candidate corresponding to the reference pattern having the highest similarity a predetermined number of times in a row is the odor type determination result of the odor determination unit according to claim 3 or The odor determination device according to 4.
  6.  前記決定部は、所定の回数連続して、同じ匂いの種類が判定された場合に、前記対応処理を決定する請求項1から4のいずれか一つに記載の匂い判定装置。 The odor determination device according to any one of claims 1 to 4, wherein the determination unit determines the corresponding processing when the same odor type is determined consecutively a predetermined number of times.
  7.  前記決定部は、さらに、前記類似度に応じて、前記対応処理を変更する請求項3から5のいずれか一つに記載の匂い判定装置。 The odor determination device according to any one of claims 3 to 5, wherein the determination unit further changes the corresponding processing according to the similarity.
  8.  前記決定部は、さらに、複数の前記対応処理が決定された場合、当該複数の対応処理間の関係に基づいて、前記対応処理を変更する請求項1から7のいずれか一つに記載の匂い判定装置。 The odor according to any one of claims 1 to 7, wherein the determination unit further changes the correspondence process based on the relationship between the plurality of correspondence processes when a plurality of the correspondence processes are determined. Judgment device.
  9.  前記決定部は、前記検出素子の設置個所の温度および湿度の少なくとも一方に基づいて、前記対応処理を変更する請求項1から8のいずれか一つに記載の匂い判定装置。 The odor determination device according to any one of claims 1 to 8, wherein the determination unit changes the corresponding processing based on at least one of the temperature and humidity of the place where the detection element is installed.
  10.  複数の検出素子のそれぞれから得られた検出値を取得し、
     前記検出値が予め設定された閾値を超えたか否かを判断し、
     前記複数の検出素子のうち少なくとも1つの前記検出素子の前記検出値が前記閾値を超えた場合に、取得した複数の前記検出値をパターン化した匂いパターンに基づいて、匂いの種類を判定し、
     判定された匂いの種類に対応する対応処理を決定する、
     ことを含む匂い判定方法。
    Obtain the detection values obtained from each of the multiple detection elements,
    It is determined whether or not the detected value exceeds a preset threshold value, and it is determined.
    When the detection value of at least one of the plurality of detection elements exceeds the threshold value, the type of odor is determined based on the odor pattern obtained by patterning the plurality of acquired detection values.
    Determine the corresponding processing corresponding to the determined odor type,
    Smell judgment method including that.
  11.  複数の検出素子と、外部機器と、を有する匂い判定システムであって、
     前記複数の検出素子のそれぞれから得られた検出値を取得する取得部と、
     前記検出値が予め設定された閾値を超えたか否かを判断する判断部と、
     前記複数の検出素子のうち少なくとも1つの前記検出素子の前記検出値が前記閾値を超えた場合に、前記取得部により取得した複数の前記検出値をパターン化した匂いパターンに基づいて、匂いの種類を判定する匂い判定部と、
     前記匂い判定部により判定された匂いの種類に対応する対応処理を決定する決定部と、
     前記決定部により決定した前記対応処理の実行を指示する制御情報を前記外部機器に出力する制御部と、
     を備える匂い判定システム。
    An odor determination system having a plurality of detection elements and an external device.
    An acquisition unit that acquires detection values obtained from each of the plurality of detection elements, and an acquisition unit.
    A determination unit that determines whether or not the detected value exceeds a preset threshold value, and
    When the detection value of at least one of the plurality of detection elements exceeds the threshold value, the type of odor is based on the odor pattern in which the plurality of detection values acquired by the acquisition unit are patterned. The odor judgment unit that determines
    A determination unit that determines a corresponding process corresponding to the type of odor determined by the odor determination unit, and a determination unit.
    A control unit that outputs control information instructing execution of the corresponding process determined by the determination unit to the external device, and a control unit.
    Smell judgment system equipped with.
PCT/JP2021/002672 2020-01-30 2021-01-26 Smell decision device, smell decision method, and smell decision system WO2021153566A1 (en)

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