Biological information measuring system

Abstract

The biometric information measurement system of the embodiment includes: a suction device for suctioning gas from the basin of a toilet bowl in a bathroom; a gas flow path through which the gas suctioned by the suction device passes; a gas detection device having a gas sensor that reacts to a predetermined gas component contained in the gas passing through the gas flow path; a status detection unit for detecting changes in the status of the bathroom; and a standby time setting unit for setting a standby time from the end of the measurement by the previous user to the time when the next user can be measured, based on the historical record of the bathroom status detected by the gas detection device or the status detection unit.

Description

Technical Field

[0001] The disclosed implementations relate to biological information measurement systems. Background Technology

[0002] Previously, there was a known biological information measurement system that uses a gas sensor to sense the defecation gas emitted by a user (hereinafter also referred to as "user") when defecating in a toilet, thereby measuring the user's intestinal state and other information (for example, see Patent Documents 1 and 2).

[0003] Existing technical documents

[0004] Patent documents

[0005] Patent Document 1: Japanese Patent Application Publication No. 2005-315836

[0006] Patent Document 2: Japanese Patent Application Publication No. 2016-145806 Summary of the Invention

[0007] The problem that the invention aims to solve

[0008] However, the aforementioned prior art has room for improvement. For example, in the prior art, odorous noise based on non-defecation gases that are not associated with the defecation behavior of the subject as a toilet user is measured. If the noise level is above a predetermined value, a prompt is given to the user to postpone defecation, or a notification is given indicating that the estimation accuracy of the amount of defecation gas is low. Thus, in the prior art, there is room for improvement in the processing of information about gases that may have a significant noise impact, particularly regarding the use of gases whose noise impact is suppressed. Therefore, it is desirable to suppress the impact of noise in the processing of information about gases.

[0009] The purpose of the disclosed embodiments is to provide a biological information measurement system that can suppress the influence of noise in the processing of information using gases.

[0010] Solution for solving the problem

[0011] One embodiment of the biometric information measurement system is characterized by comprising: a suction device for suctioning gas from the basin of a toilet bowl in a bathroom; a gas flow path through which the gas suctioned by the suction device passes; a gas detection device having a gas sensor that reacts to a predetermined gas component contained in the gas passing through the gas flow path; a status detection unit for detecting changes in the status of the bathroom; and a standby time setting unit for setting a standby time from the end of the measurement by the previous user to the time when the next user can be measured, based on a historical record of the bathroom status detected by the gas detection device or the status detection unit.

[0012] According to one embodiment, a biometric information measurement system sets the standby time until the measurement of defecation gases is possible based on the toilet's historical status records. This allows users to avoid the influence of various noises in the toilet space and perform accurate measurements. Therefore, the biometric information measurement system can suppress the influence of noise during the processing of defecation gas information.

[0013] Through their research, the inventors discovered that the changing ratio of odorless gases (composed of hydrogen, methane, and carbon dioxide) to malodorous gases (composed of hydrogen sulfide and methyl mercaptan) in the flatulence (defecation gas) expelled during defecation indirectly reflects the changing intestinal environment over time. It is known that the intestinal environment changes according to the type of diet, amount of exercise, and other factors. Therefore, to accurately estimate its state, it is important to more accurately measure the composition of defecation gas, and the inventors have evolved these methods through hardware efforts. For example, if the method described in Patent Document 2 only considers odorous noise, it may sometimes lead to measures such as making the subject wait until the odorous noise stabilizes before defecation, or displaying incorrect results even when affected by noise during defecation. However, apart from odorous noise, it is difficult to accurately measure defecation gas if noise caused by the sterilization function and automatic cleaning of a typical toilet is not considered.

[0014] Therefore, in one embodiment of the biological information measurement system, by setting an appropriate standby time based on the toilet's historical status until the fecal gas can be measured, accurate signals from the gas sensor that measures the composition of fecal gas can be obtained, and the user can avoid the influence of various noises in the toilet space and perform accurate measurements.

[0015] In one embodiment of the biological information measurement system, the standby time is characterized by setting a predetermined time, and the standby time setting unit changes the standby time based on the toilet status history detected during the standby time.

[0016] According to one embodiment, a biometric information measurement system can preset a standard time as the standby time. By changing the standby time based on the toilet's historical status record during the standby time, accurate measurements corresponding to the immediate situation before the user's excretion behavior can be performed. Therefore, the biometric information measurement system can suppress the influence of noise in the processing of gas usage information.

[0017] In one embodiment of the biometric information measurement system, the standby time is characterized by setting a predetermined time, wherein the standby time setting unit changes the standby time based on a historical record of the toilet status detected during the period from the end of the measurement of the previous user to the start of the measurement of the next user.

[0018] According to one embodiment, a biometric information measurement system can preset a standard time as the standby time. By changing the standby time based on the toilet's historical status record during the standby time, accurate measurements corresponding to the immediate situation before the user's excretion behavior can be performed. Therefore, the biometric information measurement system can suppress the influence of noise in the processing of gas usage information.

[0019] In one embodiment of the biological information measurement system, the standby time setting unit changes the standby time based on the change or variation of the detection value of the gas detection device in the toilet status history record.

[0020] According to one embodiment, a biological information measurement system enables accurate measurement by setting a standby time that minimizes the impact of odorous noise detected by a gas detection device. Therefore, the biological information measurement system can suppress the influence of noise during the processing of gas-based information.

[0021] In one embodiment of the biological information measurement system, the standby time setting unit changes the standby time based on the detection results of at least one of the following actions detected by the state detection unit: toilet cleaning, local cleaning, sterilization cleaning, suction, and drying.

[0022] According to one embodiment, a biometric information measurement system can perform accurate measurements by setting the standby time to a minimum to minimize the impact of noise from typical bathroom activities sensed by the state detection unit. Therefore, the biometric information measurement system can suppress the influence of noise during the processing of gas usage information.

[0023] In one embodiment of the biological information measurement system, the standby time setting unit extends the standby time when the detection value of the gas detection device exceeds a predetermined threshold.

[0024] According to one embodiment, a biometric information measurement system can, for example, extend a preset standby time when there is a lot of noise, such as a large amount of gas excreted by the previous user, and can set an appropriate standby time to suppress the influence of unwanted noise, thereby acquiring appropriate data. Therefore, the biometric information measurement system can suppress the influence of noise in the processing of gas information.

[0025] In one embodiment of the biological information measurement system, the standby time setting unit shortens the standby time when the detection value of the gas detection device is lower than a predetermined threshold.

[0026] According to one embodiment, a biometric information measurement system can, for example, shorten a preset standby time by reducing noise, such as when the amount of gas excreted by the previous user is small, and can set an appropriate standby time that suppresses the generation of unwanted standby time, thereby acquiring appropriate data. Therefore, the biometric information measurement system can suppress the influence of noise in the processing of gas information.

[0027] One embodiment of the biological information measurement system is characterized by having a notification unit that notifies the next user of the standby time.

[0028] According to one embodiment, a biometric information measurement system can alleviate the stress of waiting during toilet use when defecation must be temporarily suspended by informing the subject of the waiting time. Therefore, the biometric information measurement system can reduce the increased burden on toilet users caused by the need for measurement.

[0029] One embodiment of the biological information measurement system is characterized by having a control device for controlling the aspiration flow rate of the aspiration device, wherein when the aspiration flow rate of the aspiration device is set to x (L / min), 10 ≤ x ≤ 200 is satisfied.

[0030] According to one embodiment, a biometrics system can control the suction flow rate of defecation gas discharged into the toilet bowl within an appropriate range by setting the suction flow rate (hereinafter also referred to as "flow rate") of the suction device to x (L (liters) / min (minutes)) in a manner that satisfies 10 ≤ x ≤ 200. For example, by controlling the suction flow rate of the suction device within the aforementioned range, the biometrics system can suppress the possibility of inaccurate measurement due to a large suction flow rate into the gas flow path equipped with a gas sensor, causing rapid increases or decreases in concentration; or the possibility of inaccurate measurement due to a small suction flow rate into the gas flow path equipped with a gas sensor, affecting the measurement of the next user. In this way, the biometrics system can suppress the increase in the possibility of inaccurate measurement. Therefore, the biometrics system can suppress the influence of noise in the processing of gas information.

[0031] For example, when the suction flow rate exceeds 200 L / min, the suction device becomes too large or produces driving noise. Furthermore, when the suction flow rate is less than 10 L / min, defecation gas leaks out of the pelvis, making proper detection impossible. As described above, as long as the flow rate is below 200 L / min, the biometrics system can suction defecation gas from the pelvis without affecting measurement accuracy. Moreover, as described above, as long as the flow rate is above 10 L / min, the biometrics system can control the time it takes for the sensor signal to return to baseline after reaching its peak value without affecting the measurement of the next user.

[0032] One embodiment of the biological information measurement system is characterized by having a control device for controlling the suction flow rate of the suction device. When the set condition in the drive of the gas detection device is set to y, the suction flow rate of the suction device is set to x1 (L / min), and the number of signal processing operations when converting the electrical signal detected by the gas detection device into a digital signal is set to x2 (Hz), and in the following formula 1, when variables α, β, and b are set to 0.025≤α≤0.045, -11≤β≤-7, and 1.5≤b≤3.0 respectively, 0≤y≤500 is satisfied.

[0033] [Formula 1] y=e (α*x1+β*x2+b) .

[0034] According to one embodiment, a bio-information measurement system controls the suction flow rate of the suction device (flow rate) to x1 (L (liters) / min (minutes)) and the number of signal processing steps (sampling rate) when converting the electrical signal detected by the gas detection device into a digital signal to x2 (Hz). Furthermore, in Formula 1 above, variables α, β, and b are set to 0.025≤α≤0.045, -11≤β≤-7, and 1.5≤b≤3.0, respectively. This ensures that the setting condition y in the drive of the gas detection device satisfies 0≤y≤500. This allows the suction flow rate of defecation gas discharged into the toilet bowl and the number of signal processing steps (sampling rate) when converting the electrical signal detected by the gas detection device into a digital signal to be kept within appropriate ranges. By controlling the system to satisfy these conditions, the bio-information measurement system can keep the flow rate of defecation gas and the number of processing steps of the gas sensor within appropriate ranges so that the setting condition in the drive of the gas detection device satisfies the reference value. Therefore, the bio-information measurement system can suppress the influence of noise in the processing of gas information.

[0035] One embodiment of the biological information measurement system is characterized by comprising: a suction device for suctioning gas from the basin of a toilet bowl in a bathroom; a gas flow path through which the gas suctioned by the suction device passes; a gas detection device having a gas sensor that reacts to a predetermined gas component contained in the gas passing through the gas flow path; a state detection unit for detecting state changes within the bathroom; and a data acquisition range setting unit for setting the acquisition range of data to be parsed by the data parsing unit from the gas component measurement data based on historical bathroom state records detected by the gas detection device or the state detection unit.

[0036] According to one embodiment, a bio-information measurement system sets the data acquisition range required for gas composition analysis to a minimum based on historical bathroom conditions, thus avoiding the influence of various noises in the bathroom space and enabling accurate measurements. Therefore, the bio-information measurement system can suppress the influence of noise in the processing of gas information. Furthermore, by setting the data capacity required for gas composition analysis to a minimum, the system reduces the capacity of memory and data communication required for analysis.

[0037] As described above, for example, according to the method described in Patent Document 2, if only odorous noise is considered, the following measures may sometimes be taken: the subject before defecation may be made to wait until the odorous noise stabilizes, or errors may be displayed even if the subject is affected by noise during defecation. However, apart from odorous noise, it is difficult to accurately measure defecation gases if noise caused by the sterilization function and automatic cleaning of a typical toilet is not taken into account.

[0038] Therefore, in one embodiment of the biological information measurement system, by setting the data acquisition range required for the analysis of gas components to the minimum required limit, accurate signals from the gas sensor measuring the gas components of excrement can be obtained, and users can avoid the influence of various noises in the bathroom space and perform accurate measurements.

[0039] In one embodiment of the biometric information measurement system, the data parsing unit parses the data acquired within the data acquisition range, and the data acquisition range setting unit changes the data acquisition range based on the toilet status history detected after the previous user's data acquisition is completed.

[0040] According to one embodiment, a biometric information measurement system can pre-set a data acquisition range and change the range based on the toilet status history during the period from the end of the previous user's measurement to the start of the next user's measurement (e.g., during standby time). This allows for accurate measurements corresponding to the immediate situation preceding the user's excretion behavior. Therefore, the biometric information measurement system can suppress the influence of noise in the processing of gas usage information.

[0041] In one embodiment of the biometric information measurement system, the data parsing unit parses the data acquired within the data acquisition range, and the data acquisition range setting unit changes the data acquisition range based on the toilet status history detected immediately before the end of the previous user's data acquisition.

[0042] According to one embodiment, a biometric information measurement system can pre-set a data acquisition range and change the range based on the toilet status history during the period from the end of the previous user's measurement to the start of the next user's measurement (e.g., during standby time). This allows for accurate measurements corresponding to the immediate situation preceding the user's excretion behavior. Therefore, the biometric information measurement system can suppress the influence of noise in the processing of gas usage information.

[0043] In one embodiment of the biological information measurement system, the data acquisition range setting unit changes the data acquisition range based on the change or variation of the detection value of the gas detection device in the toilet status history record.

[0044] According to one embodiment, a biological information measurement system enables accurate measurement by setting the data acquisition range to a minimum where the influence of odorous noise detected by the gas detection device is minimized. Therefore, the biological information measurement system can suppress the influence of noise in the processing of gas-based information.

[0045] In one embodiment of the biological information measurement system, the data acquisition range setting unit changes the data acquisition range based on the detection results of at least one of the actions detected by the state detection unit, namely, toilet cleaning, local cleaning, sterilization cleaning, suction, and drying.

[0046] According to one embodiment, a biometric information measurement system can perform accurate measurements by minimizing the impact of noise from typical bathroom activities sensed by a state detection unit. Therefore, the biometric information measurement system can suppress the influence of noise during the processing of gas usage information.

[0047] In one embodiment of the biological information measurement system, the data acquisition range setting unit delays the end time of the data acquisition range if the detection value of the gas detection device exceeds a predetermined threshold.

[0048] According to one embodiment, a biological information measurement system can perform measurements with noise suppressed by delaying the end time of a pre-set data acquisition range in noisy conditions. Therefore, the biological information measurement system can suppress the influence of noise in the processing of gas-based information. Furthermore, by delaying the end time and increasing the data acquisition range, the biological information measurement system can increase the amount of data acquired, thus suppressing the possibility of insufficient data for analysis while acquiring the minimum required data.

[0049] In one embodiment of the biological information measurement system, the data acquisition range setting unit advances the end time of the data acquisition range when the detection value of the gas detection device is lower than a predetermined threshold.

[0050] According to one embodiment, a biometrics system can measure data acquired early in the usage period by advancing the end time of a pre-set data acquisition range when the user's fecal gas volume is high, thereby suppressing the influence of noise. Therefore, the biometrics system can suppress the influence of noise in the processing of gas information. Furthermore, by advancing the end time and reducing the data acquisition range (i.e., reducing the amount of data acquired), the biometrics system can set the data capacity required for gas composition analysis to the minimum necessary limit, thus reducing the capacity of memory and data communication required for analysis.

[0051] In one embodiment of the biological information measurement system, the data acquisition range setting unit sets the data acquisition range based on the departure signal in the restroom sensed by the state detection unit.

[0052] According to one embodiment, a biometric information measurement system can minimize the impact of historical toilet status data sensed by the status sensing unit by setting a data acquisition range based on exit signals. Therefore, the biometric information measurement system can suppress the influence of noise in the processing of gas usage information.

[0053] Invention Effects

[0054] According to one embodiment, the influence of noise in the processing of information using gas can be suppressed. Attached Figure Description

[0055] Figure 1 This is a perspective view showing an example of the structure of a bathroom in an embodiment.

[0056] Figure 2 This is a top view showing an example of the configuration of the measuring device in the embodiment.

[0057] Figure 3 This is a diagram illustrating an example of an overall overview of a biological information measurement system according to an implementation method.

[0058] Figure 4 This is a diagram illustrating an example of the relationship between a user's actions and the system's actions.

[0059] Figure 5 This is a block diagram illustrating an example of the configuration of a toilet seat device according to an embodiment.

[0060] Figure 6 This is a block diagram illustrating an example of the configuration of a control device in an implementation method.

[0061] Figure 7This is a diagram illustrating an example of the configuration of a gas sensor.

[0062] Figure 8 This is a diagram illustrating an example of a scenario with high suction flow.

[0063] Figure 9 This is a diagram illustrating an example of a situation with low suction flow.

[0064] Figure 10 This is a diagram representing an example of a control mode.

[0065] Figure 11 This is a graph representing an example of a sampling rate.

[0066] Figure 12 This is a diagram illustrating an example of flow calculation.

[0067] Figure 13 This is a diagram showing an example of the measurement results.

[0068] Figure 14 This is a diagram showing an example of the measurement results.

[0069] Figure 15 This is a diagram illustrating a processing example of setting standby time.

[0070] Figure 16 This is a diagram representing an example of a toilet's historical status.

[0071] Figure 17 This is a diagram illustrating a processing example of setting standby time.

[0072] Figure 18 This is a diagram illustrating a processing example of setting standby time.

[0073] Figure 19 This is a diagram illustrating a processing example of setting standby time.

[0074] Figure 20 This is a graph illustrating an example of how standby time can vary.

[0075] Figure 21 This is a diagram illustrating a processing example of setting the acquisition range.

[0076] Figure 22 This is a diagram illustrating a processing example of setting the acquisition range.

[0077] Figure 23 This is a diagram illustrating a processing example of setting the acquisition range.

[0078] Figure 24 This is a diagram illustrating a processing example of setting the acquisition range. Detailed Implementation

[0079] Hereinafter, with reference to the accompanying drawings, the embodiments of the biological information measurement system disclosed in this application will be described in detail. It should be noted that the present invention is not limited to the embodiments shown below. In this application, gases originating from intestinal fermentation and indicating high health are referred to as healthy gases, and gases originating from intestinal putrefaction and indicating low health are referred to as odorous gases.

[0080] For example, health-related gases are gases produced by the fermentation of beneficial bacteria in the gut. These gases can also originate from intestinal fermentation, and their abundance increases with the level of gut health. Specific examples of health-related gases include hydrogen, carbon dioxide, acetic acid, methane, ethanol, and water.

[0081] Furthermore, odorous gases, for example, are gases produced by the fermentation of harmful bacteria in the intestines. For instance, odorous gases can be gases containing sulfur components in fecal matter. Examples of odorous gases include ammonia, trimethylamine, hydrogen sulfide, methyl mercaptan, indole, and skatole. It should be noted that fecal matter referred to here means gases expelled from the intestines; for example, fecal matter includes gases expelled simultaneously with defecation and gases not expelled simultaneously with defecation.

[0082] <1. Implementation Method>

[0083] The following will describe the toilet R, which serves as the gas collection site, and the bio-information measurement system 1, followed by an overview of the various processes performed by the bio-information measurement system 1 and the configuration used to perform these processes.

[0084] <1-1. Example of a Toilet's Components>

[0085] First, refer to Figure 1 The structure of the biological information measurement system of the implementation method will be described. Figure 1 This is a perspective view showing an example of the configuration of a biological information measurement system according to an embodiment. It should be noted that... Figure 1 In order to illustrate the structure of the measuring device 4, it is shown through the toilet seat 5 and the toilet cover 9. Figure 1 The directions indicated by the middle arrows, namely above, below, front, back, and side (left and right directions), represent the directions viewed from the user sitting on the toilet seat 5, which is positioned along the upper surface of the toilet bowl 7, or from the user's seated position. For example, above, below, front, back, and side can also be directions centered on the opening of the toilet seat 5, which is the object on which the user of the toilet bowl 7 sits.

[0086] like Figure 1As shown, a toilet 7 is installed on the floor F in the toilet R. It should be noted that, in the following description, the orientation of the space from the floor F towards the toilet R is sometimes referred to as "up". The toilet R is equipped with the components of a biological information measurement system 1, including a suction device 10 and a gas detection device 20, and a gas detection measuring device 4, etc.

[0087] Toilet 7 is a so-called latrine (Western-style toilet), and a basin 8 is formed in toilet 7. The basin 8 is a downwardly recessed shape and is the part that receives the user's excrement. It should be noted that toilet 7 is not limited to the floor-standing type shown in the figure. It can be any form as long as the biometric information measurement system 1 can be applied, and it can also be a wall-mounted type, etc. An inner edge is provided in toilet 7, covering the entire circumference of the end of the opening facing the basin 8. In the bathroom R, for example, a flushing tank for storing flushing water can be installed near toilet 7, or it can be a so-called tankless type without a flushing tank.

[0088] For example, when a user operates the cleaning control unit (not shown) installed in the toilet R, the toilet is cleaned by supplying cleaning water to the basin 8 of the toilet bowl 7. The cleaning control unit can be a lever or a touch operation for the toilet cleaning object displayed on the operating device 30. It should be noted that the cleaning control unit is not limited to manual operation by the user such as a lever, but can also be used to clean the toilet by human body sensing through a sensor such as a seat sensor.

[0089] The toilet seat assembly 2 is mounted on the upper part of the toilet bowl 7 and includes a main body 3, a measuring device 4, a toilet seat 5, and a cleaning nozzle 6. The toilet seat assembly 2 is placed on the upper part of the toilet bowl 7, which has a basin 8 for receiving excrement. The toilet seat assembly 2 is placed on the upper part of the toilet bowl 7 such that it enters the basin 8 before the cleaning nozzle 6 sprays cleaning water. It should be noted that the toilet seat assembly 2 can be detachably mounted to the toilet bowl 7 or integrated with the toilet bowl 7.

[0090] The toilet seat device 2, through the configuration of a measuring device 4, etc., measures the biometric information of the user of the toilet R based on the excrement gas discharged into the basin 8 of the toilet bowl 7 installed in the toilet R. The measuring device 4 includes a suction device 10 and a gas detection device 20. It should be noted that the measuring device 4 will... Figure 2 A detailed description will follow.

[0091] like Figure 1 As shown, the toilet seat 5 is formed in a ring shape and is positioned along the end (inner edge) of the basin 8, overlapping the opening of the toilet bowl 7. The toilet seat 5 is for the user to sit on. The toilet seat 5 functions as a seating part that supports the buttocks of the user. In addition, the toilet cover 9 can be fitted to the toilet seat assembly 2 as needed, or the toilet seat assembly 2 may not have a toilet cover 9.

[0092] The cleaning nozzle 6 is a nozzle used to spray cleaning water. The cleaning nozzle 6 is configured to be driven by a power source such as an electric motor. Figure 5 The nozzle 6 is driven by a motor 61 (or similar) to move forward and backward relative to the housing of the main body 3. Furthermore, the cleaning nozzle 6 is connected to a water source such as a tap water pipe (not shown). Also, as... Figure 1 As shown, when the cleaning nozzle 6 is in the position of entering the housing relative to the main body 3 (also known as the "entry position"), water from the water source is sprayed onto the user's body to clean the area.

[0093] exist Figure 1 The image shows the cleaning nozzle 6 in the engaged position. It should be noted that the cleaning nozzle 6 can also be used for cleaning within the toilet bowl 7 (such as the basin 8). The cleaning nozzle 6 can also be used to switch between a localized cleaning mode (cleaning a specific area of ​​the user) and a toilet bowl cleaning mode (spraying water into the toilet bowl 7). For example, the cleaning nozzle 6 can also be used to switch between localized cleaning mode and toilet bowl cleaning mode based on control provided by the toilet seat assembly 2.

[0094] The operating device 30 is located inside the toilet R. The operating device 30 is positioned in a location accessible to the user. The operating device 30 is positioned so that it can be operated while the user is seated on the toilet seat 5. Figure 1 From the perspective of a user seated on toilet seat 5, the operating device 30 is positioned on the left-hand wall W. It should be noted that the operating device 30 is not limited to the wall surface as long as it is usable by the user seated on toilet seat 5; it can be configured in various ways. For example, the operating device 30 can also be integrated with the toilet seat assembly 2.

[0095] The operating device 30 can communicate with the toilet seat device 2 via a predefined network, either wired or wirelessly. For example, as long as the toilet seat device 2 and the operating device 30 can send and receive information, the connection method can be any, whether it is wired or wireless.

[0096] The operating device 30, for example, uses a touch panel to receive various operations from the user via a display surface (e.g., display screen 31). Furthermore, the operating device 30 may also include switches and buttons, and receive various operations through these switches and buttons. The display screen 31 is a display device used to display various information, such as a flat panel display or an organic EL (Electro-Luminescence) display. In other words, the operating device 30 receives user input and also outputs information to the user through the display screen 31. The display screen 31 is a display device for displaying various information.

[0097] The operating device 30 accepts user operations for controlling various functions provided within the toilet R. The operating device 30 also accepts user operations for controlling the partial cleaning of the toilet seat device 2. For example, the operating device 30 may also have switches, buttons, etc., that accept the aforementioned user operations, and perform various actions based on the user's contact with the switches, buttons, etc. It should be noted that the above is an example, and the operating device 30 may accept user operations for performing various actions.

[0098] The biometric information measurement system 1, through various configurations and processes described later, measures the biometric information of the user of toilet R based on the excrement gas discharged into the basin 8 of the toilet bowl 7 installed in toilet R. The biometric information measurement system 1 executes controls to appropriately measure the excrement gas. The biometric information measurement system 1 can also, based on the information collected through measurement, etc., transmit the information to the user's smartphone or other user terminal (equivalent to...). Figure 3 The information is provided to the display unit 300 in the toilet. In addition, the biological information measurement system 1 can also provide information to the operation device 30 (or display screen 31) of the toilet R based on the information collected by measurement and the like.

[0099] <1-2. Composition of the measuring device>

[0100] Next, refer to Figure 2 The composition of measuring device 4 will be explained. Figure 2 This is a top view illustrating an example of the configuration of the measuring device according to the embodiment. Figure 2 The example shown illustrates the case where the measuring device 4 is disposed within the main body 3. Figure 2 The structure of the measuring device 4 is illustrated by removing the housing (cover) of the main body 3 from which the measuring device 4 is mounted. Figure 2 The middle arrows indicate the directions above, in front, behind, and to the side, respectively. Figure 1 The directions shown are the same.

[0101] The measuring device 4 includes: a suction device 10 for suctioning gas from the basin 8 of the toilet 7; a gas detection device 20 for detecting the composition of the suctioned gas; and a deodorizing component 50. It should be noted that the inflow part 12 (basin 8) of the gas flow path 11 is designated as the upstream side, and the discharge part 13 (outside the main body 3) of the gas flow path 11 is designated as the downstream side.

[0102] The suction device 10 draws in the gas in the basin 8 from which the user of the toilet R has expelled defecation gas. The suction device 10 draws the gas in the basin 8 into the gas flow path 11. The suction device 10 has a fan for drawing in the gas in the basin 8 of the toilet 7. The suction device 10 is positioned upstream of the deodorizing component 50.

[0103] The suction device 10 is disposed within the gas flow path 11, which is a flow path communicating with the basin 8 of the toilet bowl 7 from the inlet section 12 side. Gas drawn by the suction device 10 passes through the gas flow path 11. The gas flow path 11 is formed as a tube having an internal space for the suction device 10 and other components. The gas flow path 11 is, for example, a pipe. The gas flow path 11 has an inlet section 12 for gas to flow into the gas flow path 11 and an outlet section 13 located downstream of the inlet section 12 for gas to be discharged out of the gas flow path 11.

[0104] The discharge section 13 of the gas flow path 11 has an opening at one end (rear end) of the gas flow path 11, such as... Figure 2 The arrow OT in the diagram schematically functions as an outlet for gas to flow out (discharge) from the gas flow path 11. For example... Figure 2 As shown, the discharge section 13 is configured to discharge gas from the gas flow path 11 to the outside of the toilet from a position rearward of the user's seat. It should be noted that the toilet referred to here is not limited to the toilet bowl 7, but may also include components necessary for the user to excrete waste and perform related processing. For example, the toilet may include the toilet bowl 7 and the toilet seat 5. Furthermore, for example, the toilet may include the toilet bowl 7, the toilet seat 5, and the main body 3.

[0105] Furthermore, the inlet portion 12 of the gas flow path 11 has an opening at the other end (front end) of the gas flow path 11 (the side opposite to the outlet portion 13), such as Figure 2 As schematically shown by the arrow IN, it functions as an inlet for gas to flow into the gas flow path 11 from the basin 8. In this way, the inlet 12 is positioned to collect the defecation gas from the basin 8. The suction device 10 draws gas from the basin 8 through the gas flow path 11 by driving a fan. For example, the suction device 10 performs suction-related processing under the control of the control device 100. It should be noted that when the suction device 10 is shared with a deodorizing device or the like assembled on the toilet seat 2, the suction device 10 can also be controlled by a control unit (device) different from the control device 100.

[0106] The gas detection device 20 performs processing related to the detection of the composition of the gas drawn by the suction device 10. The gas detection device 20 is positioned between the inlet section 12 and the outlet section 13. Figure 2 Viewed from the side of the basin, the gas detection device 20 is positioned at the rear of the suction device 10. It should be noted that... Figure 2As just one example, the detection device 20 can be positioned anywhere as long as the gas can be introduced into the location where the suction device 10 is drawing in the gas. The gas detection device 20 is positioned within the gas flow path 11, which communicates with the outside of the main body 3 on the discharge section 13 side. For example, the gas in the gas flow path 11 is discharged to the outside of the gas flow path 11 according to the drive of the suction device 10.

[0107] For example, the gas detection device 20 performs gas detection-related processing under the control of the control device 100. The gas detection device 20 includes a gas sensor 40 that reacts to gases contained in the gas passing through the gas flow path 11. The gas sensor 40 detects specific components of the gas.

[0108] Gas sensor 40 is disposed between inlet section 12 and outlet section 13. For example, gas sensor 40 is disposed upstream of deodorizing member 50, away from deodorizing member 50. For example, gas sensor 40 is a semiconductor gas sensor. Gas sensor 40 can be a hydrogen sensor capable of detecting hydrogen. Gas sensor 40 can also be an odorous gas sensor capable of detecting odorous gases. Gas sensor 40 can also be a methane gas sensor capable of detecting methane. For example, gas detection device 20 has multiple gas sensors 40. Multiple gas sensors 40 may include gas sensor 40a as a hydrogen sensor, gas sensor 40b as an odorous gas sensor, and gas sensor 40c as a methane gas sensor. Unless otherwise specified, gas sensors 40a to 40c will be described as gas sensor 40.

[0109] It should be noted that the above is only an example, and the gas sensor is not limited to the semiconductor gas sensor 40; any type of sensor can be used. For example, the gas detection device 20 can also have an infrared absorption gas sensor such as an infrared CO2 sensor (carbon dioxide concentration meter).

[0110] The deodorizing component 50 is disposed in the gas flow path 11 and has the function of deodorizing the odorous components of the excrement gas. For example, the deodorizing component 50 is a catalyst filter (deodorizing filter) that adsorbs odorous gases such as odorous gases. The deodorizing component 50 is disposed in the discharge section 13 of the gas flow path 11. For example, the deodorizing component 50 is disposed in the discharge section 13, that is, the last part of the gas flow path 11, by means of a mechanism for assembling the deodorizing component 50 disposed in the discharge section 13 of the gas flow path 11.

[0111] Furthermore, the deodorizing component 50 is designed to be detachable from the toilet bowl. For example... Figure 2As shown, the deodorizing component 50 protrudes to the rear side of the main body 3, allowing a person to approach (contact) the deodorizing component 50 from the rear side of the main body 3. Therefore, for example, when the deodorizing component 50 reaches its replacement time, a person can approach the deodorizing component 50 from the rear side of the main body 3, remove the old deodorizing component 50 in use, and assemble the new deodorizing component 50 into the discharge section 13 of the gas flow path 11.

[0112] In this way, by configuring the deodorizing component 50, air in which odorous gases such as odors are removed by the deodorizing component 50 is discharged outside the main body 3 included in the toilet bowl. Figure 2 (The middle part is the rear side of the main body 3). It should be noted that details regarding the configuration of the deodorizing component 50, etc., will be described later. In addition, the deodorizing component 50 may have the function of generating pressure loss (also referred to as "pressure loss generating function"). In this case, for example, the deodorizing component 50 may also function in such a way that the pressure loss generated when gas passes through is higher relative to the direction of gas travel through the gas flow path 11 than the downstream side of the gas sensor 40's placement location.

[0113] <1-3. An example of an overall overview of a biological information measurement system>

[0114] Next, refer to Figure 3 An example of an overall overview of the biological information measurement system 1 is provided. Figure 3 This is a diagram illustrating an example of an overall overview of a biological information measurement system according to an implementation method. Figure 3 The middle arrows indicate the directions above, below, in front, behind, and to the side, respectively. Figure 1 and Figure 2 The directions shown are the same. It should be noted that, for [the direction shown]... Figure 1 and Figure 2 Points that are the same as those already explained should be omitted from the explanation appropriately.

[0115] exist Figure 3 In this biological information measurement system 1, there are a suction device 10, a gas detection device 20, a deodorization component 50, a control device 100, and an estimation unit 200. It should be noted that... Figure 3 In order to clearly show only the configuration of the deodorizing component 50, a schematic diagram of the state in which the deodorizing component 50 is configured at the position (rear part) of the discharge part 13 of the gas flow path 11 is shown, but the suction device 10 and the gas detection device 20 are also configured in the gas flow path 11.

[0116] In addition, Figure 1 and Figure 2The illustration shows a toilet seat device 2 comprising a suction device 10, a gas detection device 20, and a control device 100, but is not limited to this. For example, the control device 100 may be provided separately from the suction device 10 and the gas detection device 20, and may control the suction device 10 and the gas detection device 20 by communicating with them wirelessly or via a wired connection. Furthermore, as described above, the suction device 10 may also be controlled by a control unit different from the control device 100.

[0117] The estimation unit 200 is a computer (information processing device) that has the function of performing estimation processing based on information obtained from the detection by the gas detection device 20. For example, the estimation unit 200 may also be a cloud server (server device) located outside the toilet R. In this case, the estimation unit 200 can be communicatively connected to devices (also referred to as "toilet-in-place devices") configured in the toilet seat device 2 or the gas detection device 20, etc., via a prescribed network such as the Internet, through wired or wireless means.

[0118] Furthermore, the estimation unit 200 can communicate with the display unit 300 and other devices that display information to the user via a wired or wireless connection through a specified network such as the Internet. It should be noted that as long as information can be transmitted and received, the estimation unit 200 can be connected to the devices in the restroom and the display unit 300 in any way, whether via wired or wireless communication. It should also be noted that the estimation unit 200 can communicate with the control device 100.

[0119] The estimation unit 200 uses information received from the device in the restroom to perform estimation processing related to the user's health status. It should be noted that the data acquired so far can be stored by the estimation unit 200 or on the display unit 300. The estimation unit 200 generates information (also called "health estimation information") or related information for estimating the user's health status based on the amount of healthy gases and odorous gases in the user's defecation gas. The estimation unit 200 calculates a fraction based on the ratio of the amount of healthy gases to the amount of odorous gases in the user's defecation gas as the user's health estimation information. For example, the estimation unit 200 can also use arbitrary information such as ratios or odorous components. It should be noted that the above is only an example; the estimation unit 200 can also generate arbitrary information as the user's health estimation information. For example, the estimation unit 200 can generate information as the user's health estimation information, or it can generate health estimation information based on the following processing results.

[0120] For example, the estimation unit 200 can also estimate information related to the user's intestinal state based on the measured values. For example, the estimation unit 200 can also estimate information related to the state of bacteria. In this case, for example, the estimation unit 200 can also estimate the occupancy rate of a certain bacterium, the amount and ratio of beneficial and harmful bacteria, etc. Furthermore, for example, the estimation unit 200 can also estimate the state of metabolites. In this case, for example, the estimation unit 200 can also estimate the amount and ratio of beneficial and harmful substances. For example, the estimation unit 200 can also estimate the pH state in the intestine. Furthermore, the estimation unit 200 can also generate information that scores or evaluates the quality of the aforementioned information. For example, the estimation unit 200 can also generate such information as a health estimation of the user.

[0121] Furthermore, for example, the estimation unit 200 can also generate information related to the user's health status based on the measured values. In this case, for example, the estimation unit 200 can also generate a score related to the user's gut environment, evaluating its quality. For example, the estimation unit 200 can also generate information related to the user's gut environment. For example, the estimation unit 200 can also generate information related to the user's immunity. For example, the estimation unit 200 can also generate information related to the user's leanness. For example, the estimation unit 200 can also generate information related to cholesterol levels. For example, the estimation unit 200 can also generate information related to metabolic scores. For example, the estimation unit 200 can also generate information like the above as a health estimation of the user. It should be noted that the above examples are merely illustrative, and the estimation unit 200 is not limited to the above; it can also generate various types of information related to the user's health status.

[0122] Based on a calculated ratio, estimation unit 200 estimates that the more healthy gases a user's defecation gases contain than foul-smelling gases, the healthier the user. Conversely, estimation unit 200 estimates that the more foul-smelling gases a user's defecation gases contain than healthy gases, the less healthy the user. It should be noted that the above is merely an example; estimation unit 200 can also make arbitrary estimations based on the calculated score. Estimation unit 200 sends the information to be provided to the user to display unit 300. Estimation unit 200 sends the score calculated as the user's health estimation information to the display unit 300 used by the user.

[0123] The estimation unit 200 is not limited to a cloud server (server device) and can be any device. That is, the device configuration and arrangement of the estimation unit 200 can be any method as long as the desired processing can be achieved. For example, the estimation unit 200 can also be a portable terminal (device) such as a laptop computer that can be carried by the administrator of the biometric information measurement system 1. In addition, the estimation unit 200 can also be configured in the toilet R. For example, the estimation unit 200 can also be configured to be configured in the toilet R. For example, the function of the estimation unit 200 can also be provided by the toilet seat device 2. In this case, the control device 100 can also have the function of the estimation unit 200.

[0124] Display unit 300 is a display device (computer) that displays information provided to the user. For example, display unit 300 may also be a user terminal (portable terminal) owned by the user. In this case, display unit 300 may be implemented, for example, via a smartphone, mobile phone, PDA (Personal Digital Assistant), tablet terminal, or laptop PC (Personal Computer). For example, display unit 300 may be communicatively connected via a predetermined network to devices included in biometric information measurement system 1, such as estimation unit 200, through wired or wireless means.

[0125] Display unit 300 sends and receives information with estimation unit 200. Display unit 300 receives information provided to the user from estimation unit 200. Display unit 300 receives a score calculated as a health estimation information of the user from estimation unit 200. Display unit 300 displays information including the score calculated as a health estimation information of the user.

[0126] exist Figure 3 In this system, display unit 300 displays a score calculated as the user's intestinal environment score, which is used as presumed health information. For example, display unit 300 displays the user's intestinal environment score in a time series according to the date and time of each excretion. Display unit 300 displays the target value of the score, information indicating the change of the user's intestinal environment score over time, and textual information indicating its evaluation. For example, display unit 300 may also request information from prescribing unit 200 and display the information obtained from prescribing unit 200.

[0127] It should be noted that the above is merely an example, and the biometric information measurement system 1 can be configured with any device as long as it can achieve the desired processing. In the biometric information measurement system 1, the toilet seat device 2 may also have a configuration other than the display unit 300. For example, the toilet seat device 2 may also include a measuring device 4, a control device 100, and an estimation unit 200. Furthermore, for example, the display unit 300 may or may not be included in the biometric information measurement system 1. For example, if the display unit 300 is the operating device 30 of the toilet R, the display unit 300 may also be included in the biometric information measurement system 1. In this case, the operating device 30 has the function of displaying the user's estimated health information.

[0128] <1-4. User Actions and System Actions>

[0129] Next, use Figure 4 An example illustrating the relationship between the movement (action) of a user using the biometrics system 1 and the movement (action) of the biometrics system 1 is provided. Figure 4 This is a diagram illustrating an example of the relationship between a user's actions and the system's actions.

[0130] First, refer to Figure 4 This describes the procedure for users of toilet R to defecate. Users of toilet R perform the following steps: Figure 4 The actions shown are in stages one through seven.

[0131] First, as the first stage of the action, the user enters the toilet R. As the second stage of the action, the user inside the toilet R undresses. As the third stage of the action, the user, after undressing, sits on the toilet seat 5 in the toilet R. As the fourth stage of the action, the user sitting on the toilet seat 5 defecates into the basin 8 of the toilet bowl 7.

[0132] As the fifth stage of the action, the user finishes their bowel movement by using the toilet seat device 2 for local cleaning and using toilet paper to maintain local hygiene. As the sixth stage of the action, the user, having completed the post-bowel movement, stands up and gets off the toilet seat 5. As the seventh stage of the action, the user, after getting off the seat, cleans the toilet bowl 7, leaves the toilet R, and confirms the results of the defecation gas analysis obtained from the bio-information measurement system 1.

[0133] Next, the operational flow of the biometric information measurement system 1 corresponding to the user's actions will be explained. The biometric information measurement system 1 begins gas extraction before the user enters the restroom R and begins to defecate. Figure 4In this process, the biometric information measurement system 1 begins gas aspiration during the first to third stages. Thus, the biometric information measurement system 1 completes measurement preparation before the user defecates. For example, the biometric information measurement system 1 aspirates gas from the pelvic cavity 8 before the user defecates, using this gas as a baseline for comparison with the gas after the user's defecation. For example, the biometric information measurement system 1 calculates the amount of components contained in the defecation gas by calculating the increment (increase) from the baseline.

[0134] The biometric information measurement system 1 measures fecal gas during the period between when the user defecates and when they leave their seat after sitting down. Figure 4 In this process, the bio-information measurement system 1 measures the user's excretory gases from before the fourth stage to the fifth stage. Thus, the bio-information measurement system 1 continuously aspirates gases while the user is seated, acquiring data in the process.

[0135] The biological information measurement system 1 performs fecal gas analysis after the measurement of fecal gas is completed. Figure 4 In this process, the biometrics system 1 analyzes the user's fecal gas during stages six and seven. Therefore, after the user finishes defecating, the biometrics system 1 analyzes the information obtained from the user's fecal gas (result) and calculates a score. The biometrics system 1 analyzes the user's fecal gas and provides the analysis results to the user. It should be noted that the analysis and provision of results are not limited to stages six and seven; they can be performed at any time whenever the information can be provided. For example, the biometrics system 1 can provide various information, including analysis and results, at any time during or immediately after the measurement.

[0136] <1-5. Functional Components of a Toilet Seat System>

[0137] Next, refer to Figure 5 The functional composition of the toilet seat device 2 will be explained. Figure 5 This is a block diagram illustrating an example of the configuration of a toilet seat device according to an embodiment. For example... Figure 5 As shown, the toilet seat device 2 includes a human body sensing sensor 32, a seating sensor 33, an illumination sensor 34, a control device 100, a nozzle motor 61, and a cleaning nozzle 6.

[0138] It should be noted that, Figure 5 The configuration of the toilet seat device 2 shown is merely an example; if each component is arranged individually, the toilet seat device 2 may also consist only of the toilet seat 5. Like this, Figure 5The configuration of the toilet seat device 2 shown is merely an example; the toilet seat device 2 can be configured in any way. The human body sensor 32, the seating sensor 33, the illuminance sensor 34, etc., can be placed in any location as long as they can perform the desired sensing. Furthermore, the toilet seat device 2 only needs to be able to sense the user sitting on the toilet seat 5, and only needs to have at least one of the human body sensor 32, the seating sensor 33, and the illuminance sensor 34. The toilet seat device 2 communicates via a communication device (e.g., Figure 6 The communication unit 110 of the control device 100 (or similar device) transmits and receives information with the information processing device such as the estimation unit 200 via a predetermined network (such as the Internet) in a wired or wireless manner.

[0139] The human body sensor 32 has the function of sensing the human body. For example, the human body sensor 32 is used as a seating sensing unit to sense when a user sits on the toilet seat 5. For example, the human body sensor 32 is implemented by using a thermoelectric sensor or the like that that emits infrared signals. For example, the human body sensor 32 can also be implemented by a μ (micro) wave sensor or the like. For example, the human body sensor 32 can also be an infrared light-emitting distance sensor that senses the human body that is present near the toilet seat 5 immediately before the user sits on the toilet seat 5.

[0140] The human body sensor 32 also functions as an off-seat sensor to detect when a user leaves the toilet seat 5. The human body sensor 32 senses the user's seated state relative to the toilet seat 5. The human body sensor 32 outputs a sensing signal to the control device 100. It should be noted that the above is an example, and the human body sensor 32 is not limited to the above; it can also sense the human body through various means. For example, the human body sensor 32 can sense a person (such as a user) approaching the toilet seat 5.

[0141] The seating sensor 33 has the function of sensing a person's seating in the toilet seat device 2. For example, the seating sensor 33 is used as a seating sensing unit to sense the user's seating in the toilet seat 5. For example, the seating sensor 33 is implemented by a load sensor or the like. The seating sensor 33 senses that the user has sat in the toilet seat 5. The seating sensor 33 can sense the user's seating position relative to the toilet seat 5.

[0142] The seating sensor 33 also functions as a sensor to detect when a user leaves the toilet seat 5. The seating sensor 33 senses the user's seated position relative to the toilet seat 5. It should be noted that the above is an example; the seating sensor 33 is not limited to the above and can also sense a person sitting on the toilet seat 2 through various means. The seating sensor 33 outputs a seating sensing signal to the control device 100.

[0143] The illuminance sensor 34 is a sensor that senses illuminance. For example, the illuminance sensor 34 is used as a seating sensing unit to sense when a user sits on the toilet seat 5. For example, the illuminance sensor 34 is positioned facing the basin 8 to sense the illuminance inside the basin 8.

[0144] The illuminance sensor 34 also functions as an off-seat sensor to detect when a user leaves the toilet seat 5. The illuminance sensor 34 senses the user's seated position relative to the toilet seat 5. It should be noted that the above is just one example; the illuminance sensor 34 can be configured in any position as long as it can sense the user's sitting position on the toilet seat 5 through illuminance sensing.

[0145] The control device 100 controls various components and processes. The control device 100 is a computer (information processing device) that performs various information processing related to gas measurement, etc. The control device 100 can be any device as long as it has the necessary components for control, such as a microcomputer.

[0146] The control device 100 controls various components used to measure the gas. The control device 100 controls the gas detection device 20. The control device 100 transmits control information to the gas detection device 20 via a wired connection. It should be noted that the control device 100 can also transmit control information to the gas detection device 20 wirelessly. For example, if the control device 100 is configured differently from the toilet seat device 2, it can also wirelessly transmit control information of the gas detection device 20 to the toilet seat device 2. In this case, the control device of the toilet seat device 2 can also control the gas detection device 20 based on the received control information.

[0147] The control device 100 controls the suction device 10. For example, the control device 100 controls the start and stop of suction by the suction device 10. The control device 100 sends control information to the suction device 10 via a wired connection. It should be noted that the control device 100 can also send control information to the suction device 10 wirelessly. For example, if the control device 100 is configured as a different device from the toilet seat device 2, it can also wirelessly send the control information of the suction device 10 to the toilet seat device 2. In this case, the control device of the toilet seat device 2 can also control the suction device 10 based on the received control information.

[0148] In addition to the above, the control device 100 also controls various components of the biological information measurement system 1. The control device 100 controls the nozzle motor 61, etc. The control device 100 controls the nozzle motor 61, etc., based on signals sent from the operating device 30.

[0149] The control device 100 controls the nozzle motor 61 based on control instructions related to localized cleaning sent from the operating device 30. The control device 100 controls the nozzle motor 61 to move the cleaning nozzle 6 forward and backward. It should be noted that the control device 100 is not limited to the nozzle motor 61; it can also control various mechanisms. For example, the control device 100 controls the opening and closing of a solenoid valve that functions as a valve for controlling fluid flow via electromagnetic means. For example, the control device 100 switches the supply and stop of, for example, tap water from a water supply pipe by controlling the solenoid valve.

[0150] The control device 100 transmits control information to the nozzle motor 61 and the like via a wired connection. It should be noted that the control device 100 can also transmit control information to the nozzle motor 61 and the like wirelessly. For example, if the control device 100 is configured as a different device from the toilet seat device 2, it can also wirelessly transmit control information for the nozzle motor 61 and the like to the toilet seat device 2. In this case, the control device of the toilet seat device 2 can also control the nozzle motor 61 and the like based on the received control information.

[0151] In addition, the control device 100 can also control, for example... Figure 1 The toilet seat 9 and toilet seat 5 are shown. In this case, the control device 100 controls the toilet seat 9 and toilet seat 5 based on signals sent from the operating device 30. The control device 100 controls the toilet seat 9 based on control instructions related to opening and closing of the toilet seat sent from the operating device 30. The control device 100 controls the toilet seat 5 based on control instructions related to opening and closing of the seat area sent from the operating device 30. The control device 100 sends control information to the toilet seat 9 and toilet seat 5 via a wired connection. It should be noted that the control device 100 can also send control information to the toilet seat 9 and toilet seat 5 wirelessly.

[0152] The control device 100 determines whether the user's seating is detected by the seating sensing units such as the human body sensor 32, the seating sensor 33, and the illuminance sensor 34. The control device 100 uses predictive information based on the defecation behavior sensed by the seating sensing units to determine whether the user's seating on the toilet seat 5 is detected.

[0153] The nozzle motor 61 is a drive source (motor) that drives the cleaning nozzle 6 to move forward and backward. The nozzle motor 61 performs control to move the cleaning nozzle 6 forward and backward relative to the main body 3. The nozzle motor 61 performs control to move the cleaning nozzle 6 forward and backward according to the instructions from the control device 100.

[0154] exist Figure 5The configuration shown is an example of a toilet seat device 2 including a control device 100, but the control device 100, human body sensor 32, seating sensor 33, and illuminance sensor 34 can also be configured as different devices from the toilet seat device 2. For example, the control device 100 can also be configured as a different device from the toilet seat device 2. For example, the control device 100 can also be a server device, located away from the toilet seat device 2. In this case, the control device 100 communicates with each of the toilet seat device 2, human body sensor 32, seating sensor 33, and illuminance sensor 34, and receives various information from each device. Furthermore, in this case, the toilet seat device 2 can also have various configurations (control circuits, etc.) for controlling the nozzle motor 61 and other components of the toilet seat device 2. It should be noted that the above is only an example, and the biometric information measurement system 1 can be configured with any device as long as it can perform the desired processing.

[0155] <1-6. Functional Composition of the Control Device>

[0156] The following is for reference Figure 6 The functional structure of the control device is explained. Figure 6 This is a block diagram illustrating an example of the configuration of a control device in an implementation embodiment. For example... Figure 6 As shown, the control device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. It should be noted that the configuration of the control device 100 is not limited to... Figure 6 The configuration shown can be any other configuration as long as the desired processing can be achieved. For example, the control device 100 may not have a communication unit 110.

[0157] The communication unit 110 is implemented, for example, through a communication circuit. The communication unit 110 is connected to a designated network via wired or wireless means to transmit and receive information with external information processing devices. For example, the communication unit 110 is connected to a designated network via wired or wireless means to transmit and receive information with other devices such as the operating device 30. It should be noted that the communication unit 110 may also be configured as a device different from the control device 100 (a communication device), and may be included in the toilet seat device 2.

[0158] The storage unit 120 is implemented, for example, by a semiconductor storage element such as RAM (Random Access Memory) or flash memory, or a storage device such as a hard disk or optical disk. For example, the storage unit 120 is a computer-readable recording medium that non-temporarily records data used by various information processing programs.

[0159] The storage unit 120 in this embodiment stores various information required for processing. The storage unit 120 stores various information acquired from various sensors and other devices. The storage unit 120 stores various information used in various information processing processes. For example, the storage unit 120 stores information related to reference value control, such as target values.

[0160] return Figure 6 Continuing with the explanation, the control unit 130 is implemented, for example, by using an MPU (Micro Processing Unit) or CPU (Central Processing Unit) as a working area to execute programs stored inside the control device 100 (e.g., various information processing programs of this disclosure). Alternatively, the control unit 130 may also be implemented using integrated circuits such as ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array).

[0161] like Figure 6 As shown, the control unit 130 includes an acquisition unit 131, a processing unit 132, and an output unit 133, and performs or executes the information processing functions described below. It should be noted that the internal configuration of the control unit 130 is not limited to... Figure 6 The configuration shown can be any other configuration as long as it is a configuration for information processing as described later.

[0162] The acquisition unit 131 acquires various types of information. The acquisition unit 131 acquires various types of information from the storage unit 120. The acquisition unit 131 receives information from other devices. The acquisition unit 131 receives information (sensing information, etc.) sensed by various sensors.

[0163] The acquisition unit 131 acquires information (sensing information, etc.) sensed by the seating sensing unit. The acquisition unit 131 receives information (sensing information, etc.) sensed by at least one of the human body sensing sensor 32, seating sensor 33, and illuminance sensor 34.

[0164] The acquisition unit 131 acquires defecation behavior prediction information based on the seating sensing unit. For example, the acquisition unit 131 acquires defecation behavior prediction information representing the user's seating.

[0165] The processing unit 132 performs various processes. The processing unit 132 uses information stored in the storage unit 120 to perform various processes. The processing unit 132 controls the gas detection device 20.

[0166] The processing unit 132 performs calculations. The processing unit 132 uses various information stored in the storage unit 120 to perform calculations. The processing unit 132 uses various information acquired by the acquisition unit 131 to perform calculations.

[0167] Processing unit 132 calculates various information related to the gas. Processing unit 132 calculates values ​​based on the measured values ​​obtained by gas detection device 20. Processing unit 132 calculates the resistance value of sensor element based on the voltage value measured by gas sensor 40. For example, processing unit 132 uses a function representing the relationship between voltage value and resistance value of sensor element to calculate the resistance value of sensor element based on the measured voltage value. Processing unit 132 uses formula (1) to calculate the resistance value of sensor element.

[0168] The processing unit 132 can also calculate the gas concentration based on the calculated resistance value of the sensor element. In this case, the processing unit 132 uses a function representing the relationship between the resistance value and the gas concentration to calculate the gas concentration based on the calculated resistance value.

[0169] Output unit 133 performs output processing to output various types of information. Output unit 133 functions as a transmitter of various types of information. Output unit 133 performs output processing by sending information to external information processing devices. Output unit 133 sends information to external information processing devices. For example, output unit 133 sends various types of information to estimation unit 200. For example, output unit 133 sends various types of information to management devices such as computers and smartphones used by the administrator of estimation unit 200. Furthermore, output unit 133 can also perform output processing by sending information to operation device 30 (or display screen 31).

[0170] Output unit 133 sends various information used by estimation unit 200 in estimation processing to estimation unit 200. Output unit 133 sends information representing the measured value determined by gas detection device 20. Output unit 133 sends information representing the value calculated by processing unit 132.

[0171] <1-7. Gas Sensors>

[0172] Next, use Figure 7 An example of the configuration of a gas sensor will be described. Figure 7 This is a diagram illustrating an example of the configuration of a gas sensor. Specifically, Figure 7 This is a diagram illustrating an example of the circuit configuration CR of a semiconductor gas sensor 40.

[0173] The gas sensor 40 is equipped with a sensor element and a resistive element for measurement. Figure 7 In the middle, the gas sensor 40 has sensor elements connected in series (corresponding to Figure 7The sensor resistor RS) and the measuring resistor element (corresponding to Figure 7 The circuit of the resistor element RL in the circuit constitutes CR.

[0174] In the semiconductor gas sensor 40, a formula (1) is used to calculate values ​​related to the gas quantity. Formula (1) corresponds to... Figure 7 The circuit shown constitutes CR, which is related to Figure 7 The same formula as function FC1 in the text.

[0175] RS=((Vc-Vout) / Vout)×RL……(1)

[0176] In formula (1), “RS” represents the resistance value of the sensor element. For example, in formula (1), “RS” represents the resistance value of the sensor resistance RS as an example of a value calculated based on the measurement of the gas sensor 40. In this way, formula (1) is a formula for calculating the resistance value.

[0177] In formula (1), “RL” represents the resistance value of the resistive element RL. In formula (1), “Vc” represents the voltage value of the circuit voltage Vc. In formula (1), “Vout” represents the voltage value of the output voltage Vout at the resistive element. For example, in formula (1), “Vout” represents the voltage value of the resistive element RL as an example of the measured value measured by the gas sensor 40.

[0178] The resistance value of the sensor resistor RS in formula (1) is an indicator related to the gas quantity. The biological information measurement system 1 calculates the gas quantity-related indicator (resistance value) based on the measured value (voltage value), and calculates the gas quantity based on the calculated resistance value. It should be noted that although a detailed explanation of the principle of semiconductor gas sensors is omitted, for example only... Figure 7 The circuit configuration shown in CR, where "RH" corresponds to the heater (resistor) used to heat the sensor element, and "V" represents the voltage. H "Corresponding to the voltage of the heater. It should be noted that the gas sensor in this invention is not limited to a semiconductor sensor; any sensor that satisfies the above formula (1) can be used instead."

[0179] <1-8. Relationship between suction flow rate and measurement>

[0180] The following explanation, based on the configuration of the aforementioned biological information measurement system 1, will cover the measurement of gases. First, a brief explanation will be given regarding the problems arising from inappropriate suction flow rates.

[0181] <1-8-1. Situations with high suction flow>

[0182] First, use Figure 8This section explains the situation where the suction flow rate is high (the suction flow rate is fast). Figure 8 This is a diagram illustrating an example of a scenario with high suction flow. Specifically, Figure 8 This is a conceptual diagram illustrating an example of a problem that arises when there is a high suction flow rate.

[0183] Figure 8 Curve GR11 in the figure represents an example of a measurement performed when the suction device 10 is controlled by the control device 100 in a manner that the suction flow rate of the suction device 10 is high when suctioning the defecation gas in the basin 8. The vertical axis represents the detected value (e.g., the voltage value of the resistive element RL) and the horizontal axis represents time.

[0184] The solid line in curve GR11 represents the measured value LN11, obtained by actually detecting (measuring) the amount of defecation gas drawn from the basin 8 through the suction device 10 at a flow rate (e.g., more than 200 L / min) that the gas sensor's resolution cannot keep up with. Furthermore, the dashed line in curve GR11 represents the actual measured value LN12, which should have been detected (measured) if the gas sensor detected (measured) the defecation gas drawn from the basin 8 through the suction device 10.

[0185] As shown by the measured value LN11 and the actual measured value LN12 of curve GR11, when the suction flow rate of the suction device 10 is high, the difference between the measured value and the value that should have been detected (measured) (the actual measured value) becomes larger. Thus, when the suction flow rate of the suction device 10 is so high that the resolution of the gas sensor cannot keep up, and the difference between the measured value and the actual measured value is large, the possibility of inaccurate measurement increases.

[0186] <1-8-2. Cases with low suction flow>

[0187] Next, use Figure 9 This section explains the situation where the suction flow rate is low (slow suction flow rate). Figure 9 This is a graph illustrating an example of a situation with low suction flow. Specifically, Figure 9 This is a conceptual diagram illustrating an example of a problem that arises when the suction flow rate is low.

[0188] Figure 9 Curve GR21 in the figure represents an example of a measurement performed when the suction device 10 is controlled by the control device 100 in a manner where the suction flow rate of the suction device 10 is low when suctioning the defecation gas in the basin 8. The vertical axis represents the detected value (e.g., the voltage value of the resistive element RL) and the horizontal axis represents time.

[0189] The solid line in curve GR21 represents the measured value (actual value) obtained by actually detecting (measuring) the defecation gas drawn from the basin 8 by the suction device 10 at a suction flow rate (e.g., less than 10 L / min) so small that it would affect the measurement of the next user before returning to the baseline. Furthermore, the dashed line in curve GR21 represents the baseline value detected by the gas sensor when no defecation gas is sensed.

[0190] As shown by the measured value LN21 of curve GR21 and the baseline LN20, when the suction flow rate of the suction device 10 is low, there is a time required for the gas sensor to return to the baseline after measuring defecation gas. In this case, when the suction flow rate of the suction device 10 is so low that the gas sensor needs time to return to the baseline after measuring defecation gas, the possibility of inaccurate measurement due to the gas sensor not returning to the baseline before starting measurement for the next user increases.

[0191] <1-9. Control Examples>

[0192] As described above, ideally, the biometric information measurement system 1 appropriately controls the suction flow rate to suppress the possibility that: due to a high suction flow rate, accurate measurement cannot be performed due to drastic increases or decreases in concentration; or due to a low suction flow rate into the gas flow path equipped with the gas sensor, accurate measurement cannot be performed due to the impact on the measurement of the next user. Therefore, as described below, the biometric information measurement system 1 controls the suction flow rate of the defecation gas discharged into the basin 8 of the toilet bowl 7 within an appropriate range.

[0193] <1-9-1. First Control Example>

[0194] First, a first control example will be described as an example of controlling the suction flow rate of the excrement gas discharged into the basin 8 of the toilet 7 within an appropriate range.

[0195] In the first control example, the control device 100 of the biological information measurement system 1 controls the suction flow rate of the suction device 10 to x (L / min) in a manner that satisfies 10 ≤ x ≤ 200. For example, the control device 100 controls the suction flow rate of the suction device 10 during suction operation to satisfy 10 L / min or more and 200 L / min or less. For example, the control device 100 controls the suction device 10 to suction gas from the basin 8 of the toilet bowl 7 into the gas flow path 11 at the desired suction flow rate.

[0196] The control device 100 can also control the suction flow rate to be above 50 L / min and below 170 L / min. For example, the biological information measurement system 1 can also use the powerful deodorization function of the toilet seat device 2 for suction for measurement. For example, the biological information measurement system 1 can also use the gas suctioned during powerful deodorization corresponding to the second control mode described later for measurement.

[0197] For example, when the suction flow rate in the powerful deodorization function of the toilet seat device 2 is 170 L / min, the biometric information measurement system 1 will use the gas suctioned at a flow rate of 170 L / min during powerful deodorization for measurement. Furthermore, for example, when the suction flow rate in the powerful deodorization function of the toilet seat device 2 is 160 L / min, the biometric information measurement system 1 will use the gas suctioned at a flow rate of 160 L / min during powerful deodorization for measurement. In this case, the control device 100 can perform suction at a flow rate suitable for measurement while simultaneously realizing the function of powerful deodorization possessed by the toilet seat device 2. That is, the control device 100 can appropriately perform the functions of deodorization and measurement through combined suction.

[0198] Furthermore, the control device 100 may also have a first control mode and a second control mode for controlling the suction flow rate, with the first control mode executed when the user sits down and the second control mode executed after the user leaves the seat. In this case, when the control device 100 senses the user sitting on the toilet seat 5, it controls the suction device 10 to execute the first control mode and perform suction. For example, the control device 100 begins executing the first control mode when it senses the timing of the user sitting on the toilet seat 5.

[0199] Furthermore, when the control device 100 senses that the user has left the toilet seat 5, it controls the suction device 10 to execute the second control mode and perform suction. For example, the control device 100 starts executing the second control mode when it senses that the user has left the toilet seat 5. For example, the control device 100 executes the second control mode for a predetermined period of time (e.g., 60 seconds).

[0200] use Figure 10 An example of the first control mode and the second control mode will be given. Figure 10 This is a diagram illustrating an example of a control mode. It should be noted that explanations for points identical to those described above have been appropriately omitted.

[0201] exist Figure 10In this configuration, the control device 100 controls the suction device 10 to perform a first control mode in which suction is carried out by the suction device 10 at a suction flow rate of 90 L / min when the user sits down on the toilet seat 5. Furthermore, the control device 100 controls the suction device 10 to perform a second control mode in which suction is carried out by the suction device 10 at a suction flow rate of 160 L / min when the user gets off the toilet seat 5.

[0202] It should be noted that, Figure 10 The suction flow rates shown for the first and second control modes are merely examples. The first and second control modes can, for instance, be set to a desired suction flow rate within a range of 10 L / min to 200 L / min. For example, the second control mode can also be used for powerful deodorization, set to any suction flow rate within a range of 150 L / min to 170 L / min. Furthermore, the control device 100 can control any mode; it can terminate the execution of the first control mode before the user leaves the toilet seat 5, and it can also switch from the first control mode to the second control mode before the user leaves the toilet seat 5.

[0203] Furthermore, the control device 100 controls the number of signal processing steps (i.e., the sampling rate of the gas detection device 20) when converting the electrical signal detected by the gas detection device 20 into a digital signal to be above 0.2 Hz. Figure 11 Here's an example illustrating the sampling rate. Figure 11 This is a graph representing an example of a sampling rate. It should be noted that for [the sample rate]... Figure 8 Points where the same content is described in the same way should be omitted appropriately.

[0204] and Figure 11 The solid line representing the measured value LN31 and the dashed line representing the actual measured value LN32 (corresponding to 0.1Hz) indicate the case where the sampling rate is controlled at 0.1Hz. Figure 11 In the example, with the sampling rate controlled at 0.1Hz, as shown by the measured value LN31 and the actual measured value LN32, the maximum value of the detected value is not included when the sampling rate is 0.1Hz.

[0205] On the other hand, with Figure 11 The solid line representing the measured value LN41 and the dashed line representing the actual measured value LN42 (corresponding to 0.2Hz) indicate the case where the sampling rate is controlled at 0.2Hz. Figure 11In the example, when the sampling rate is controlled at 0.2 Hz, as shown by the measured value LN41 and the actual measured value LN42, the maximum value of the detected value is also included when the sampling rate is 0.2 Hz. In this way, compared to 0.1 Hz, the possibility of measurement error is reduced when the sampling rate is 0.2 Hz (the higher sampling rate). Therefore, ideally, the control device 100 controls the sampling rate of the gas detection device 20 to be above 0.2 Hz.

[0206] The control device 100 controls the flow rate of the excrement gas as it passes through the gas sensor disposed in the gas flow path 11 to be above 0.6 m / sec and below 14 m / sec. Figure 12 This point needs clarification. Figure 12 This is a diagram illustrating an example of flow rate calculation. It should be noted that explanations for points identical to those described above have been appropriately omitted. For example... Figure 12 As shown, by using the volumetric flow rate Qv[m 3 / s] divided by the cross-sectional area [m 2 To calculate the (average) flow velocity v [m / s].

[0207] For example, by measuring the volumetric flow rate Qv[m] of the part being measured as the flow velocity. 3 / s] divided by the cross-sectional area of ​​that part [m 2 The (average) flow velocity v [m / s] is calculated using the cross-sectional area of ​​the pipe in the gas flow path 11 where the gas sensor 40 is located and the volumetric flow rate of that location. For example, in the bio-information measurement system 1, the control device 100 controls the suction device 10 to ensure that the volumetric flow rate of that location meets the aforementioned flow velocity based on the cross-sectional area of ​​the pipe in the gas flow path 11 where the gas sensor 40 is located.

[0208] <1-9-2. Example of Measurement Results>

[0209] Next, use Figure 13 The measurements based on the above control examples and the results (simulation results) based on those measurements are explained. Figure 13 This is a graph representing an example of the measurement results. For example, Figure 13 This is a graph representing the measurement results of the combination of the measurement performance of each flow and gas sensor in the first control example. Figure 13 In the measurement shown, the composition of fecal gas is measured by the change in flow rate and sampling rate of the gas sensor as the gas passes through it. Figure 13 As shown, the evaluation criteria for measurement accuracy, measurement time, and data processing time are determined, and a comprehensive evaluation is conducted.

[0210] exist Figure 13 The table shows the measurement results (evaluation) of the gas sensor measurement performance for each combination of flow rate (suction flow rate) and measurement interval (sampling rate), as well as the measurement results (evaluation) of the flow rate (suction flow rate) and the time it takes for the gas sensor signal to return to the baseline from the peak. Figure 13 Regarding the suction flow rate (L / min), the measurement results (evaluation) are shown under ten modes: less than 10, 10, 30, 50, 70, 90, 110, 170, 200, and greater than 200. Regarding the sampling rate, the measurement results (evaluation) are shown under four modes: 1 Hz, 0.5 Hz, 0.2 Hz, and 0.2 Hz to 0.1 Hz.

[0211] For example, in Figure 13 In the measurement results shown, a sampling rate of "1Hz" corresponds to the measurement results using a semiconductor gas sensor, and a sampling rate of "0.5Hz" corresponds to the measurement results using an infrared absorption gas sensor and an infrared semiconductor gas sensor. Furthermore, in Figure 13 In the measurement results shown, the sampling rates "0.2Hz" and "0.2Hz~0.1Hz" correspond to the simulation results (predicted values) obtained by simulating the measurement results based on the use of a semiconductor gas sensor with a sampling rate of "1Hz".

[0212] exist Figure 13 In the gas sensor measurement performance evaluation shown, the symbol "〇" indicates that the measurement error (measurement error) in the measurement under the combination of flow rate (suction flow rate) and measurement interval (sampling rate) corresponding to that cell is less than 10%. That is, the symbol "〇" indicates that the measurement accuracy, measurement time, and data processing time in the fecal gas measurement are all within a sufficient range. For example, the symbol "〇" indicates that the gas sensor measurement performance under the combination of flow rate (suction flow rate) and measurement interval (sampling rate) corresponding to that cell is evaluated as Good. It should be noted that the measurement error (measurement error) is based on the measurement result (measurement result) under the condition of measurement at a specified high sampling rate, and represents the error relative to that benchmark. For example, the measurement error (measurement error) represents the error relative to the measurement result under the condition of measurement at a sampling rate of 5Hz (0.2 seconds).

[0213] In addition, Figure 13In the gas sensor measurement performance evaluation results shown, the symbol "△" indicates that the measurement error (measurement error) in the measurement under the combination of flow rate (suction flow rate) and measurement interval (sampling rate) corresponding to that cell is greater than 10% and less than 50%. That is, the symbol "△" indicates that the measurement accuracy in the fecal gas measurement is within the allowable range and the measurement time and data processing time are within sufficient range. For example, the symbol "△" indicates that the evaluation of the gas sensor measurement performance under the combination of flow rate (suction flow rate) and measurement interval (sampling rate) corresponding to that cell is acceptable (within the allowable range).

[0214] In addition, Figure 13 In the gas sensor measurement performance evaluation results shown, the symbol "×" indicates that the measurement error (measurement error) is greater than 50% under the combination of flow rate (suction flow rate) and measurement interval (sampling rate) corresponding to that cell. That is, the symbol "×" indicates that the measurement accuracy in fecal gas measurement is insufficient. For example, the symbol "×" indicates that the gas sensor measurement performance under the combination of flow rate (suction flow rate) and measurement interval (sampling rate) corresponding to that cell is evaluated as unacceptable (NG).

[0215] In addition, Figure 13 In the measurement results (evaluation) of the time it takes for the gas sensor signal to return to the baseline from the peak, the symbol "0" indicates that the time for the gas sensor signal to return to the baseline from the peak at the flow rate (suction flow rate) corresponding to that cell is less than 120 seconds. That is, the symbol "0" indicates that the time for the gas sensor signal to return to the baseline from the peak is less than the average of the measured times from when the user sits down until handwashing is completed. For example, the symbol "0" indicates that the evaluation of the time for the gas sensor signal to return to the baseline from the peak at the flow rate (suction flow rate) corresponding to that cell is "Good". It should be noted that the time for the gas sensor signal to return to the baseline from the peak does not depend on the gas sensor (type, sampling rate, etc.), but on the suction flow rate. That is, the time for the gas sensor signal to return to the baseline from the peak varies with the increase or decrease of the suction flow rate; for example, the lower the suction flow rate, the longer the time.

[0216] In addition, Figure 13In the measurement results (evaluation) of the time it takes for the gas sensor signal to return to the baseline from the peak, the symbol "△" indicates that the time for the gas sensor signal to return to the baseline from the peak at the flow rate (suction flow rate) corresponding to that cell is more than 120 seconds and less than 240 seconds. That is, the symbol "△" indicates that the time for the gas sensor signal to return to the baseline from the peak is within the assumed time from the previous user's seating to the next user's seating. For example, the symbol "△" indicates that the evaluation of the time for the gas sensor signal to return to the baseline from the peak at the flow rate (suction flow rate) corresponding to that cell is acceptable (within the allowable range).

[0217] In addition, Figure 13 In the measurement results (evaluation) of the time it takes for the gas sensor signal to return to baseline from the peak, the symbol "×" indicates that the time it takes for the gas sensor signal to return to baseline from the peak at the flow rate (suction flow rate) corresponding to that cell is greater than 240 seconds. That is, the symbol "×" indicates that the time it takes for the gas sensor signal to return to baseline from the peak is the time during which the previous user's excrement gas will affect the accuracy of the measurement for the next user. For example, the symbol "×" indicates that the evaluation of the time it takes for the gas sensor signal to return to baseline from the peak at the flow rate (suction flow rate) corresponding to that cell is unacceptable (NG).

[0218] according to Figure 13 The measurement results shown, regarding the lower limit of the flow rate (suction flow rate), preferably the evaluation of the time for the gas sensor signal to return to the baseline from the peak is not in the range marked with "×" (not allowed), that is, the suction flow rate (L / min) is 10 or more.

[0219] Furthermore, regarding the upper limit of the flow rate (suction flow rate), it is preferable to evaluate the performance of the gas sensor in a range where neither the sampling rate "1Hz" nor the sampling rate "0.5Hz" is marked with the symbol "×" (cannot), that is, the suction flow rate (L / min) is below 200.

[0220] In addition, according to Figure 13 The measurement results shown, regarding the lower limit of the flow rate (suction flow rate), are more preferably evaluated as the range of the time it takes for the gas sensor signal to return to the baseline from the peak value as "0" (good), that is, the suction flow rate (L / min) is 50 or more.

[0221] Furthermore, regarding the upper limit of the flow rate (suction flow rate), it is more preferable to use the range within which the powerful deodorizing function of the toilet seat device 2 can be utilized, that is, the suction flow rate (L / min) is 170 or less.

[0222] In addition, according to Figure 13The measurement results shown, assuming the gas sensor 40 is a semiconductor gas sensor and the sampling rate is 1Hz or higher, preferably indicate that the evaluation of the time for the gas sensor signal to return to the baseline from the peak is not in the range marked with "×" (not acceptable), and the evaluation of the gas sensor's measurement performance is in the range marked with "〇" (good), i.e., the suction flow rate (L / min) is 10 or higher and 200 or lower. It should be noted that the upper limit of the flow rate (suction flow rate) in the semiconductor gas sensor can also be within the range where the powerful deodorization function of the toilet seat device 2 can be used, i.e., 170 or lower.

[0223] In addition, according to Figure 13 The measurement results shown are preferably within the range where the gas sensor 40 is an infrared absorption gas sensor and the sampling rate is 0.5 Hz or higher, and the evaluation of the time for the gas sensor signal to return to the baseline from the peak is not marked with the symbol "×" (not allowed), and the range where the powerful deodorization function of the toilet seat device 2 can be used is 10 or higher and 170 or lower.

[0224] <1-9-3. Second Control Example>

[0225] It should be noted that, not limited to the first control example described above, the biological information measurement system 1 can also be controlled based on various conditions. For example, in addition to the suction flow rate, the number of signal processing steps (sampling rate) when converting the electrical signal detected by the gas sensor into a digital signal also affects the accuracy of the measurement. Therefore, it is desirable to control the suction flow rate of the defecation gas discharged into the toilet bowl and the number of processing steps of the gas sensor within an appropriate range.

[0226] In such a case, control can also be performed on the biological information measurement system 1 using predetermined set conditions that are associated with both the suction flow rate and the number of processing times (sampling rate, etc.) of the gas sensor. Hereinafter, a second control example will be described as an example of control based on predetermined set conditions. It should be noted that explanations will be appropriately omitted for points that are the same as those described above. For example, explanations will be appropriately omitted for points that are the same as those in the first control example.

[0227] In the second control example, the control device 100 of the biological information measurement system 1 sets the setting conditions (gas sensor setting conditions) in the drive of the gas detection device 20 to y, sets the suction flow rate of the suction device 10 to x1 (L / min), sets the number of signal processing times (sampling rate) when the electrical signal detected by the gas detection device 20 is converted into a digital signal to x2 (Hz), and in the following formula (2), sets the variables α, β, and b to 0.025≤α≤0.045, -11≤β≤-7, and 1.5≤b≤3.0 respectively, in order to satisfy 0≤y≤500.

[0228] y = e (α* x1+β*x2+b) ...(2)

[0229] For example, when the variables α, β, and b are set to values ​​within the above range, the control device 100 controls the suction flow rate of the suction device 10 and the sampling rate of the gas detection device 20 in such a way that the value of y calculated by the above formula (2) is 0 or more and 500 or less.

[0230] <1-9-4. Example of Measurement Results>

[0231] Next, use Figure 14 The measurements based on the above control examples and the results (simulation results) based on those measurements are explained. Figure 14 This is a graph representing an example of the measurement results. For example, Figure 14 This is a graph showing the gas sensor set conditions for the combination of flow rate and gas sensor measurement performance in the second control example. Figure 14 In the measurements shown, the changes in flow rate and sampling rate of the gas sensor as it passes through are used to simulate the gas sensor's set conditions, such as... Figure 14 The evaluation criteria for determining measurement accuracy, measurement time, and data processing time are shown, and a comprehensive evaluation is conducted. It should be noted that, for [the following context is missing, likely related to measurement accuracy and time], [the following context is missing, likely related to measurement accuracy and time]. Figure 13 Points that are the same as those explained previously should be omitted from the explanation.

[0232] exist Figure 14 The table shows the measurement results (evaluation) when the variable α in the above formula (2) is set to 0.043, the variable β is set to -8, and the variable b is set to 2.6. It should be noted that for... Figure 14 The flow rate (suction flow rate) and measurement interval (sampling rate) shown are due to... Figure 13 Since they are the same, the explanation is omitted.

[0233] exist Figure 14 In the gas sensor performance measurement results (evaluation) shown, the symbol "〇" indicates that the value of the gas sensor setting condition "y" is less than 100 in the measurement under the combination of flow rate (suction flow rate) and measurement interval (sampling rate) corresponding to that cell. That is, the symbol "〇" indicates that the measurement accuracy, measurement time, and data processing time in the fecal gas measurement are all within a sufficient range. For example, the symbol "〇" indicates that the evaluation based on the gas sensor setting condition "y" for the combination of flow rate (suction flow rate) and measurement interval (sampling rate) corresponding to that cell is Good.

[0234] exist Figure 14In the gas sensor performance measurement results (evaluation) shown, the symbol "△" indicates that the value of the gas sensor setting condition "y" in the measurement under the combination of flow rate (suction flow rate) and measurement interval (sampling rate) corresponding to that cell is 100 or higher and 500 or lower. That is, the symbol "△" indicates that the measurement accuracy in the fecal gas measurement is within the allowable range, and the measurement time and data processing time are both within a sufficient range. For example, the symbol "△" indicates that the evaluation based on the gas sensor setting condition "y" for the combination of flow rate (suction flow rate) and measurement interval (sampling rate) corresponding to that cell is acceptable (within the allowable range).

[0235] exist Figure 14 In the gas sensor measurement performance evaluation results shown, the symbol "×" indicates that the value of the gas sensor setting condition "y" is greater than 500 in the measurement under the combination of flow rate (suction flow rate) and measurement interval (sampling rate) corresponding to that cell. That is, the symbol "×" indicates that the measurement accuracy is insufficient in the fecal gas measurement range. For example, the symbol "×" indicates that the evaluation based on the gas sensor setting condition "y" for the combination of flow rate (suction flow rate) and measurement interval (sampling rate) corresponding to that cell is unacceptable (NG).

[0236] according to Figure 14 The measurement results shown indicate that, with variable α = 0.043, variable β = -8, and variable b = 2.6, the preferred sampling rates "1Hz" and "0.5Hz" based on the gas sensor setting condition "y" are not within the range marked with "×" (not allowed), meaning the suction flow rate (L / min) is below 200. Similarly, when variable α is set to 0.025 ≤ α ≤ 0.045 (including 0.043), variable β is set to -11 ≤ β ≤ -7 (including -8), and variable b is set to 1.5 ≤ b ≤ 3.0 (including 2.6), the preferred sampling rates "1Hz" and "0.5Hz" based on the gas sensor setting condition "y" are not within the range marked with "×" (not allowed), meaning the suction flow rate (L / min) is below 200.

[0237] <1-10. Setting up a processing example>

[0238] As described above, the biological information measurement system 1 is as follows: Figure 1 The toilet system shown can also be used to set various information during processing. For example, the biometric information measurement system 1 can also set the period (time, etc.) for processing and the scope of the processing object (data acquisition range, etc.). Several examples will illustrate this point.

[0239] <1-10-1. Example of setting standby time>

[0240] For example, the biometric information measurement system 1 can also perform a setting process for the time (also called "standby time") from the end of measurement for one user (also called "previous user") to the time when the next user can be measured. This will be explained below. For example, the control device 100 sets the standby time from the end of measurement for the previous user to the time when the next user can be measured based on the toilet's status history. The toilet status history includes various historical information indicating the state of the toilet. For example, the toilet status history includes various information such as historical records related to toilet use (toilet usage history).

[0241] The storage unit 120 of the control device 100 stores various information for setting the standby time. The storage unit 120 stores time-related information. The storage unit 120 stores information that serves as a reference for the standby time. For example, if a predetermined time that serves as the reference is set as the standby time, the storage unit 120 stores the predetermined time that serves as the reference for the standby time.

[0242] The acquisition unit 131 of the control device 100 acquires various information for setting the standby time. The acquisition unit 131 acquires information indicating changes in the state of the toilet R from a state detection unit that detects changes in the state of the toilet R. The acquisition unit 131 acquires (receives) this information from the state detection unit, which is a component of detecting changes in the state of the toilet R, and includes devices (appliances) such as cleaning, sterilization, and suction systems, human body sensors 32, and seating sensors 33, all installed in the toilet R. It should be noted that the above is only one example; the state detection unit is not limited to the aforementioned devices or sensors, but can include various components that can collect information indicating changes in the state of the toilet R.

[0243] It should be noted that the acquisition unit 131 can also function as a state detection unit by acquiring information from elements that detect changes in the state within the toilet R. For example, the acquisition unit 131 acquires information representing the state of the space within the toilet from the time a user enters until they leave. For example, the acquisition unit 131 acquires information representing at least one action (drive) among toilet cleaning, spot cleaning, disinfection cleaning, suction, and drying as a toilet state history record.

[0244] For example, the acquisition unit 131 receives information indicating at least one action (drive) among toilet cleaning, partial cleaning, disinfection cleaning, suction, and drying via the communication unit 110, thereby acquiring the state changes within the toilet R. For example, the acquisition unit 131 acquires a historical record of the toilet state indicating the toilet cleaning action by receiving information (signals) indicating the drive of toilet cleaning from the cleaning device performing toilet cleaning, the cleaning operation unit, etc. For example, the acquisition unit 131 acquires a historical record of the toilet state indicating the partial cleaning action by receiving information (signals) indicating the drive of partial cleaning from the cleaning nozzle 6 (nozzle motor 61) performing partial cleaning, the cleaning operation unit, etc.

[0245] For example, the acquisition unit 131 acquires a historical record of the toilet status indicating the disinfection cleaning operation by receiving information (signals) indicating the drive of disinfection cleaning from the disinfection device performing disinfection cleaning, the disinfection cleaning operation unit, etc. It should be noted that disinfection cleaning as described here includes an action of disinfecting or cleaning at least one of the elements constituting the toilet; any action can be any action as long as it is associated with at least one of disinfection or cleaning. For example, disinfection cleaning is not limited to actually performing disinfection or cleaning; it can also include various actions associated with at least one of disinfection or cleaning, such as preventative actions to limit the number of times at least one of disinfection or cleaning is performed.

[0246] For example, the acquisition unit 131 acquires a toilet state history record indicating the suction operation by receiving information (signals) indicating the suction drive from the suction device 10 performing suction, the suction operation unit, etc. Similarly, the acquisition unit 131 acquires a toilet state history record indicating the drying operation by receiving information (signals) indicating the drying drive from the drying device, the drying operation unit, etc.

[0247] The processing unit 132 of the control device 100 performs various processes related to setting the standby time. The processing unit 132 uses various information stored in the storage unit 120 to perform standby time setting processing (setting processing). The processing unit 132 uses various information acquired by the acquisition unit 131 to perform standby time setting processing (setting processing).

[0248] The processing unit 132 functions as a standby time setting unit, which sets the standby time from the end of the previous user's measurement to the time when the next user can take measurements, based on the historical toilet status records detected by the gas detection device 20. The processing unit 132 also sets the standby time from the end of the previous user's measurement to the time when the next user can take measurements, based on the historical toilet status records detected by the status detection unit. Furthermore, the processing unit 132 functions as a standby time setting unit, which sets the standby time from the end of the previous user's measurement to the time when the next user can take measurements, based on the historical toilet status records acquired by the acquisition unit 131.

[0249] The processing unit 132 changes the standby time based on the historical records of the toilet status detected during the standby period. The processing unit 132 changes the standby time based on the historical records of the toilet status detected from immediately before the end of the previous user's measurement to the start of the next user's measurement. The processing unit 132 changes the standby time according to the amount or fluctuation of the detection value of the gas detection device 20 in the historical records of the toilet status. It should be noted that the processing unit 132 can use any information related to the change or fluctuation of the detection value of the gas detection device 20 to change the standby time. For example, the processing unit 132 changes the standby time based on the rate of change or fluctuation of the gas detection device 20 in the historical records of the toilet status.

[0250] The processing unit 132 adjusts the standby time based on the detection results of at least one of the actions acquired by the acquisition unit 131, namely toilet cleaning, spot cleaning, disinfection cleaning, suction, and drying. For example, the processing unit 132 may increase the standby time if, for example, a disinfection cleaning action is performed before use by a user who is to be processed (e.g., the next user). For example, the processing unit 132 may decrease the standby time if, for example, a suction action is performed before use by a user who is to be processed (e.g., the next user).

[0251] The processing unit 132 extends the standby time when the detected value of the gas detection device 20 exceeds a predetermined threshold. For example, the processing unit 132 extends the standby time when the detected value of the gas detection device 20 exceeds the predetermined threshold before use by a user (e.g., the next user) who is to be processed.

[0252] The processing unit 132 shortens the standby time when the detection value of the gas detection device 20 is lower than a predetermined threshold. For example, the processing unit 132 shortens the standby time when the detection value of the gas detection device 20 is lower than the predetermined threshold before use by a user (e.g., the next user) who is to be processed.

[0253] The output unit 133 of the control device 100 performs output processing of various information related to the setting of standby time. The output unit 133 functions as a notification unit to inform the next user of the standby time.

[0254] For example, the output unit 133 sends the standby time information set by the processing unit 132 to the operating device 30, causing the operating device 30 to output the standby time information (e.g., displayed on the display screen 31), thereby notifying the next user of the standby time. Alternatively, the output unit 133 can send the standby time information set by the processing unit 132 to the terminal device carried by the next user, causing the terminal device to output the standby time information, thereby notifying the next user of the standby time.

[0255] It should be noted that, not limited to the control device 100, the standby time setting process can also be performed by other devices included in the biological information measurement system 1. For example, if the biological information measurement system 1 includes an information processing device, i.e., a standby time setting device, for performing standby time setting processing, the standby time setting process can also be performed by the standby time setting device.

[0256] The following explanation, with reference to the attached diagram, illustrates an example of setting and processing standby time. First, refer to... Figure 15 This section provides an overview of the standby time setting process. Figure 15 This is a diagram illustrating a processing example of setting standby time.

[0257] Figure 15 The curve GR41 in the middle and Figure 8 Similarly, the vertical axis represents the detected value (e.g., the voltage value of the resistive element RL), and the horizontal axis represents time. In curve GR41, the dashed line LN41 represents the change of the value (detected value) detected by the gas detection device 20 over time.

[0258] exist Figure 15 The diagram shows the measurement of the previous user between time point t41 and time point t42. Then, the biometric information measurement system 1 sets the standby time until the measurement of the next user is performed based on the toilet status history. Figure 15In this process, the bio-information measurement system 1 sets the standby time from the end time t42 of the previous user's measurement to time t43. Then, the bio-information measurement system 1 measures the gas of the next user between time t43 and time t44.

[0259] For example, the biometric information measurement system 1 sets a standby time until the next user's measurement is performed, based on a historical record of the bathroom status including at least a portion of data from the time point t41 when the measurement of the previous user begins to the time point t43 when the measurement of the next user begins. Here, using Figure 16 Here is an example illustrating the information included in the bathroom status history. Figure 16 This is a diagram representing an example of a toilet's historical status.

[0260] The toilet status history record includes information about the user (next user) before entering the room. For example, the toilet status history record includes information such as the excrement gas of other users who may cause noise. For example, the toilet status history record includes information about the excrement gas of the previous user as information about the user (next user) before entering the room. For example, the biometric information measurement system 1 can also increase the standby time if the toilet status history record includes information indicating that the amount of excrement gas from the previous user is more than a specified amount. For example, the biometric information measurement system 1 can also reduce the standby time if the toilet status history record includes information indicating that the amount of excrement gas from the previous user is less than a specified amount.

[0261] The toilet status history record includes information about the user (next user) who will be processed after entering the room. For example, the toilet status history record may include information such as temperature changes (which could be noise) or alcohol consumption. For example, the toilet status history record may include information such as disinfection cleaning or alcohol cleaning performed by the user (next user) as information about their entry into the room. For example, the biometrics system 1 may also increase standby time if the toilet status history record includes information indicating that the user (next user) performed alcohol cleaning. It should be noted that the above information is only one example of the toilet status history record; the toilet status history record is not limited to the above and may include various other information.

[0262] Here, we will explain the case where a predetermined standby time (also called "predetermined time") is set as a reference, and the standby time is set based on this predetermined time. For example, the predetermined time, which serves as the reference for determining the standby time, is stored in the storage unit 120, etc. First, regarding... Figure 17 The example shown illustrates this. Figure 17 This is a diagram illustrating a processing example of setting standby time. In a specific example, Figure 17 This diagram illustrates an example of handling situations where standby time is extended. It should be noted that, for... Figure 15 For points like these, explanations may be omitted as appropriate.

[0263] Figure 17 In the curve GR51, the vertical axis represents the detected value, and the horizontal axis represents time. The dashed line LN51 in the curve GR51 represents the change of the value (detected value) detected by the gas detection device 20 over time.

[0264] exist Figure 17 The diagram shows the situation where measurements of the previous user were taken between time point t51 and time point t52. Then, the biometric information measurement system 1 changes the prescribed time based on the toilet's historical status, thereby setting the standby time until the next user's measurement is taken. Figure 17 In this system, the biological information measurement system 1 sets the standby time based on information detected during the period after the end time t52 of the previous user's measurement, i.e., the standby time period.

[0265] exist Figure 17 In this system, the biometric information measurement system 1 sets a standby time that is an extension of a predetermined period, based on historical records of the toilet's status detected after the previous user's measurement ended at time t52. For example, if the gas detection device 20's detection value exceeds a predetermined threshold during the period after the previous user's measurement ended at time t52, the biometric information measurement system 1 extends the standby time. Therefore, in... Figure 17 In the process, the biological information measurement system 1 measures the gas of the next user between time point t53 and time point t54.

[0266] Next, regarding Figure 18 The example shown illustrates this. Figure 18 This is a diagram illustrating a processing example of setting standby time. In a specific example, Figure 18 This diagram illustrates an example of a process that shortens standby time. It should be noted that, for cases involving... Figure 15 , Figure 17 For points that are the same, the descriptions should be omitted as appropriate.

[0267] Figure 18In the curve GR61, the vertical axis represents the detected value, and the horizontal axis represents time. The dashed line LN61 in the curve GR61 represents the change of the value (detected value) detected by the gas detection device 20 over time.

[0268] exist Figure 18 The diagram illustrates the situation where measurements of the previous user were taken between time point t61 and time point t62. Then, the biometric information measurement system 1 adjusts the prescribed time based on the toilet's historical status, thereby setting the standby time until the next user's measurement is taken. Figure 18 In the biological information measurement system 1, the time point from the end of the previous user's measurement (t62) to the start of the next user's measurement is considered. Figure 18 The standby time is set based on the information detected during the period up to time point t63.

[0269] exist Figure 18 In this system, the biometric information measurement system 1 sets a standby time as the reduced (shortened) time based on the historical records of the toilet status detected before the end time t62 of the previous user's measurement. For example, if the gas detection device 20's detection value is below a predetermined threshold during the period from the end time t62 of the previous user's measurement to the start time of the next user's measurement, the biometric information measurement system 1 shortens the standby time. Similarly, if the gas detection device 20's detection value does not exceed a predetermined threshold during the period from time t61 onwards to the start time of the next user's measurement, the biometric information measurement system 1 shortens the standby time. Figure 18 In the process, the biological information measurement system 1 measures the gas of the next user between time point t63 and time point t64.

[0270] It should be noted that the biological information measurement system 1 can also use various information to set the standby time. For example, the biological information measurement system 1 can also change the standby time based on state changes detected by the gas detection device 20. For example, such as Figure 19 As shown, the biological information measurement system 1 can also change the standby time according to the change or variation of the detection value of the gas detection device 20. Figure 19 This is a diagram illustrating an example of how standby time settings are configured. It should be noted that, for... Figure 15 , Figure 17 , Figure 18 For points that are the same, the descriptions should be omitted as appropriate.

[0271] For example, the biometric information measurement system 1 can also adjust the standby time based on the decrease in the detection value of the gas detection device 20 during the previous user's measurement. In this case, the biometric information measurement system 1 can also shorten (reduce) the standby time if the decrease in the detection value of the gas detection device 20 during the previous user's measurement exceeds a predetermined threshold. For example, if the decrease in the detection value of the gas detection device 20 during the previous user's measurement exceeds a predetermined threshold, the biometric information measurement system 1 can adjust the standby time accordingly. Figure 20 As shown, the specified standby time is shortened. Figure 20 This is a graph illustrating an example of how standby time can vary.

[0272] The bio-information measurement system 1 can also extend (increase) the standby time if the decrease in the detected value of the gas detection device 20 in the previous user's measurement is below a predetermined threshold. For example, if the decrease in the detected value of the gas detection device 20 in the previous user's measurement is below a predetermined threshold, the bio-information measurement system 1 can extend (increase) the standby time. Figure 20 As shown, the specified standby time is extended.

[0273] Furthermore, the biometric information measurement system 1 can also adjust the standby time based on the rate of change or fluctuation of the detection value of the gas detection device 20 in the toilet status history. In this case, the biometric information measurement system 1 can also shorten (reduce) the standby time if the rate of decrease of the detection value of the gas detection device 20 in the previous user's measurement exceeds a predetermined threshold. The biometric information measurement system 1 can also extend (increase) the standby time if the rate of decrease of the detection value of the gas detection device 20 in the previous user's measurement is below a predetermined threshold.

[0274] For example, the biometric information measurement system 1 can also adjust the standby time based on the change in the detection value of the gas detection device 20 after the previous user's measurement. In this case, the biometric information measurement system 1 can also extend (increase) the standby time if the increase in the detection value of the gas detection device 20 after the previous user's measurement exceeds a predetermined threshold. The biometric information measurement system 1 can also shorten (decrease) the standby time if the increase in the detection value of the gas detection device 20 after the previous user's measurement is below the predetermined threshold.

[0275] It should be noted that the above is only one example, and the toilet status history record can also include various historical information indicating the toilet's status before the processing time. Furthermore, the measurement in the above example can also be, for example, processing by which the control device 100 calculates information such as gas concentration and resistance based on the values ​​detected by the gas detection device 20 (detection values). For example, in the bio-information measurement system 1, the gas detection device 20 continuously detects and outputs detection values, and the control device 100 uses the detection values ​​detected by the gas detection device 20 during the period when the user is the subject, and performs gas-related measurements such as gas concentration and resistance values ​​on that user.

[0276] Through the above processing, the biological information measurement system 1 can perform measurements that suppress the influence of various noises in the bathroom space by setting an appropriate standby time. In this way, the biological information measurement system 1 can suppress the influence of noise during the processing of gas usage information. It should be noted that the biological information measurement system 1 can also perform the various processes described above during the standby time setting process. If the standby time setting process and other processes can be combined, the biological information measurement system 1 can also perform the standby time setting process and other processes in combination. For example, during the standby time setting process, the biological information measurement system 1 can also control various components such as the suction device 10 based on the control of the first control example or the control of the second control example.

[0277] <1-10-2. Example of setting the acquisition range>

[0278] Furthermore, for example, the biological information measurement system 1 can also set the acquisition range (also referred to as the "acquisition range") of the data to be analyzed by the data parsing unit in the gas composition measurement data. This point will be explained. It should be noted that points identical to those described above will be omitted in the explanation.

[0279] For example, the control device 100 sets the acquisition range of the data to be parsed by the data parsing unit in the gas composition measurement data based on the toilet's historical status history. The toilet's historical status history includes various historical information representing the toilet's status. For example, the toilet's historical status history includes various information such as historical records related to toilet use (toilet usage history). It should be noted that the above is only an example; the toilet's historical status history may also include various historical information representing the toilet's status acquired before the processing time point.

[0280] The acquisition unit 131 of the control device 100 acquires various information for setting the data acquisition range. The acquisition unit 131 acquires historical records of the bathroom status for setting the data acquisition range.

[0281] The processing unit 132 of the control device 100 performs various processes related to setting the data acquisition range. The processing unit 132 uses various information stored in the storage unit 120 to perform the data acquisition range setting process (setting process). The processing unit 132 uses various information acquired by the acquisition unit 131 to perform the data acquisition range setting process (setting process).

[0282] The processing unit 132 functions as a data acquisition range setting unit. This unit sets the acquisition range of the data to be analyzed by the data parsing unit in the gas composition measurement data based on the historical toilet status records detected by the gas detection device 20. The processing unit 132 also sets the acquisition range of the data to be analyzed by the data parsing unit in the gas composition measurement data based on the historical toilet status records detected by the status detection unit. Finally, the processing unit 132 sets the acquisition range of the data to be analyzed by the data parsing unit in the gas composition measurement data based on the historical toilet status records acquired by the acquisition unit 131.

[0283] Processing unit 132 changes the data acquisition range based on the toilet status history detected after the previous user's data acquisition ended. Processing unit 132 changes the data acquisition range based on the toilet status history detected immediately before the previous user's data acquisition ended. Processing unit 132 changes the data acquisition range based on the amount of change or fluctuation of the detection value of the gas detection device 20 in the toilet status history. It should be noted that processing unit 132 can use any information related to the change or fluctuation of the detection value of the gas detection device 20 to change the data acquisition range. For example, processing unit 132 can change the data acquisition range based on the rate of change or fluctuation of the gas detection device 20 in the toilet status history.

[0284] The processing unit 132 adjusts the data acquisition range based on the detection results of at least one of the following actions detected by the state detection unit: toilet cleaning, spot cleaning, disinfection cleaning, suction, and drying. For example, the processing unit 132 may delay the start time of data acquisition for a user if, for example, a disinfection cleaning action has been performed before the user has used the toilet. Conversely, the processing unit 132 may expedite the start time of data acquisition for a user if, for example, a suction action has been performed before the user has used the toilet.

[0285] If the detection value of the gas detection device 20 exceeds a predetermined threshold, the processing unit 132 delays the end time of the data acquisition range. For example, if the detection value of the gas detection device 20 before use by a user who is subject to processing exceeds a predetermined threshold, the processing unit 132 delays the end time of the data acquisition range.

[0286] When the detection value of the gas detection device 20 is lower than a predetermined threshold, the processing unit 132 advances the end time of the data acquisition range. For example, if the detection value of the gas detection device 20 before use by the user who is to be processed is lower than the predetermined threshold, the processing unit 132 advances the end time of the data acquisition range.

[0287] The processing unit 132 sets the data acquisition range based on the departure signals in the restroom R sensed by the status detection unit. For example, the processing unit 132 sets the data acquisition range based on the departure signals in the restroom R sensed by the acquisition unit 131 from the seating sensor 33. The processing unit 132 sets at least a portion of the period from the time point when the departure signal of the previous user is sensed to the time point when the departure signal of the next user is sensed as the data acquisition range.

[0288] Furthermore, the processing unit 132 of the control device 100 can also function as a data analysis unit that analyzes data acquired within the data acquisition range. For example, the processing unit 132 analyzes the composition of fecal gas measured by the gas detection device 20. It should be noted that the data analysis processing can also be performed by other devices included in the biological information measurement system 1. For example, if the estimation unit 200 functions as a data analysis unit that analyzes data acquired within the data acquisition range, the processing unit 132 of the control device 100 may not need to perform data analysis processing.

[0289] Furthermore, the setting of the data acquisition range can be performed by other devices included in the biological information measurement system 1, not limited to the control device 100. For example, if the biological information measurement system 1 includes an acquisition range setting device as an information processing device for setting the data acquisition range, the data acquisition range setting can also be performed by the acquisition range setting device.

[0290] The following explanation, with reference to the accompanying drawings, illustrates an example of setting the data acquisition range. First, referring to... Figure 21 This section provides an overview of the process for setting the scope of data acquisition. Figure 21 This is a diagram illustrating a processing example of setting the acquisition range.

[0291] Figure 21 The curve GR71 in the middle and Figure 8 Similarly, the vertical axis represents the detected value (e.g., the voltage value of the resistive element RL), and the horizontal axis represents time. In the curve GR71, the dashed line LN71 represents the change of the value (detected value) detected by the gas detection device 20 over time.

[0292] exist Figure 21 The diagram illustrates the data acquisition range (also referred to as the "previous user data acquisition range") set between time point t71 and time point t72 for parsing the previous user as the object. The biometric information measurement system 1 sets the data acquisition range (also referred to as the "next user data acquisition range") for parsing the next user as the object based on the toilet status history. Figure 21 In this system, the biometric information measurement system 1 sets the data acquisition range for the next user between time point t73 and time point t74.

[0293] For example, the biometrics measurement system 1 sets the data acquisition range for the next user based on a bathroom status history record including at least a portion of the data from the time point t71 of the previous user's measurement to the execution of a process that determines (sets) the data acquisition range for the next user. For example, the biometrics measurement system 1 uses data including... Figure 16 The information shown refers to the bathroom status history, which is used to set the scope of data acquisition for the next user.

[0294] The toilet status history record includes information about the user (next user) before entering the room. For example, the toilet status history record includes information such as the excrement gas of other users who may cause noise. For example, the toilet status history record includes information about the excrement gas of the previous user as information about the user (next user) before entering the room. For example, if the toilet status history record includes information indicating that the amount of excrement gas of the previous user is greater than a specified amount, the biometric information measurement system 1 may postpone the end time of the data acquisition range for the next user. For example, if the toilet status history record includes information indicating that the amount of excrement gas of the previous user is less than a specified amount, the biometric information measurement system 1 may advance the end time of the data acquisition range for the next user.

[0295] The toilet status history record includes information about the user (next user) who will be processed after entering the room. For example, the toilet status history record may include information such as temperature changes (which could be noise) or alcohol consumption. For example, the toilet status history record may include information such as disinfection cleaning or alcohol cleaning performed by the user (next user) as information about their entry into the room. For example, the biometrics system 1 may also postpone the end time of data acquisition for the next user if the toilet status history record includes information indicating that the user (next user) performed alcohol cleaning. It should be noted that the above information is only one example of the toilet status history record; the toilet status history record is not limited to the above and may include various other information.

[0296] Here, we will explain the case where a predetermined data acquisition range (also called a "predetermined acquisition range") is set as a reference, and the data acquisition range is set based on this predetermined acquisition range. For example, the predetermined acquisition range, which serves as the reference for determining the data acquisition range, is stored in the storage unit 120, etc. For example, the predetermined acquisition range includes information indicating the start point of the range (e.g., 3 minutes, 5 minutes, etc. from the previous user's data acquisition range) and information indicating the duration of the range (e.g., 1 minute, 7 minutes, etc.). First, regarding... Figure 22 The example shown illustrates this. Figure 22 This is a diagram illustrating a processing example of setting the acquisition range. In a specific example, Figure 22 This is a diagram illustrating a processing example where the data acquisition range is extended. It should be noted that, for... Figure 21 For points that are the same, the descriptions should be omitted as appropriate.

[0297] Figure 22 In the curve GR81, the vertical axis represents the detected value, and the horizontal axis represents time. The dashed line LN81 in the curve GR81 represents the change of the value (detected value) detected by the gas detection device 20 over time.

[0298] exist Figure 22 The diagram illustrates the data acquisition range for the previous user, defined as the period from time t81 to time t82. The biometrics system 1 modifies this defined acquisition range based on the toilet's historical status, thereby setting the data acquisition range for the next user. Figure 22 In the biological information measurement system 1, the bathroom status history, which includes at least a portion of the data from the end time point t82 of the previous user's measurement to the execution of the process for determining (setting) the data acquisition range for the next user, is set as the data acquisition range for the next user.

[0299] exist Figure 22 In this system, the biometric information measurement system 1 can also set the data acquisition range for the next user based on the toilet status history detected after the end time t82 of the previous user's measurement, after a predetermined delay from the acquisition range. For example, if the gas detection device 20's detection value exceeds a predetermined threshold during the period from the end time t82 of the previous user's measurement to the execution of the determined (set) process, the biometric information measurement system 1 will postpone the acquisition range for the next user's data. Figure 22 In this system, the biometric information measurement system 1 sets the data acquisition range for the next user between time point t83 and time point t84. It should be noted that the biometric information measurement system 1 can also set a modified time period that extends (expands) the specified acquisition range as the data acquisition range.

[0300] Next, regarding Figure 23 The example shown illustrates this. Figure 23 This is a diagram illustrating a processing example of setting the acquisition range. In a specific example, Figure 23 This diagram illustrates a processing example when the scope of data acquisition is shortened. It should be noted that, for... Figure 21 , Figure 22 For points that are the same, the descriptions should be omitted as appropriate.

[0301] Figure 23 In the curve GR91, the vertical axis represents the detected value, and the horizontal axis represents time. The dashed line LN91 in the curve GR91 represents the change of the value (detected value) detected by the gas detection device 20 over time.

[0302] exist Figure 23 The diagram illustrates the data acquisition range for the previous user, defined as the period from time point t91 to time point t92. The biometrics system 1 modifies this defined acquisition range based on the toilet's historical status, thereby setting the data acquisition range for the next user. Figure 23 In the biological information measurement system 1, the bathroom status history, which includes at least a portion of the data from the time point before the end of the measurement of the previous user (i.e., before the time point t92 before the end of the measurement of the previous user) to the execution of the process to determine (set) the data acquisition range of the next user, is set as the data acquisition range of the next user.

[0303] exist Figure 23In this system, the biometric information measurement system 1 can also set the data acquisition range for the next user based on the toilet status history detected before the end time t92 of the previous user's measurement, after adjusting the time to advance the predetermined acquisition range. For example, if the gas detection device 20's detection value is lower than a predetermined threshold during the period from the end time t92 of the previous user's measurement until the execution of the determined (set) process, the biometric information measurement system 1 advances the data acquisition range for the next user. Similarly, if the gas detection device 20's detection value does not exceed a predetermined threshold during the period from time t91 until the start of the next user's use, the biometric information measurement system 1 advances the data acquisition range for the next user. Thus, in Figure 23 In this system, the biometric information measurement system 1 sets the data acquisition range for the next user between time point t93 and time point t94. It should be noted that the biometric information measurement system 1 can also set a modified time that reduces (shortens) the specified acquisition range as the data acquisition range.

[0304] It should be noted that the biological information measurement system 1 can also use various information to set the data acquisition range. For example, the biological information measurement system 1 can also change the data acquisition range based on state changes detected by the gas detection device 20. For example, such as Figure 24 As shown, the biological information measurement system 1 can also change the data acquisition range according to the change or variation of the detection value of the gas detection device 20. Figure 24 This is a diagram illustrating a processing example for setting the acquisition range. It should be noted that, for... Figures 21-23 For points that are the same, the descriptions should be omitted as appropriate.

[0305] For example, the biometrics system 1 can also adjust the data acquisition range for the next user based on the decrease in the detection value of the gas detection device 20 in the previous user's measurement. In this case, the biometrics system 1 can also advance the data acquisition range for the next user if the decrease in the detection value of the gas detection device 20 in the previous user's measurement exceeds a predetermined threshold. Furthermore, the biometrics system 1 can also shorten (reduce) the data acquisition range for the next user if the decrease in the detection value of the gas detection device 20 in the previous user's measurement exceeds a predetermined threshold.

[0306] The biometrics system 1 can also postpone the acquisition range of data for the next user if the decrease in the detection value of the gas detection device 20 in the previous user's measurement is below a predetermined threshold. Furthermore, the biometrics system 1 can also extend (increase) the acquisition range of data for the next user if the decrease in the detection value of the gas detection device 20 in the previous user's measurement is below a predetermined threshold.

[0307] Furthermore, the biometric information measurement system 1 can also adjust the data acquisition range based on the rate of change or fluctuation of the detection value of the gas detection device 20 in the toilet status history. In this case, the biometric information measurement system 1 can also advance the data acquisition range for the next user if the rate of decrease in the detection value of the gas detection device 20 in the previous user's measurement exceeds a predetermined threshold. Additionally, the biometric information measurement system 1 can also shorten (reduce) the data acquisition range for the next user if the rate of decrease in the detection value of the gas detection device 20 in the previous user's measurement exceeds a predetermined threshold.

[0308] The biometric information measurement system 1 can also delay the acquisition range of data for the next user if the reduction rate of the gas detection device 20 in the previous user's measurement is below a predetermined threshold. Furthermore, the biometric information measurement system 1 can also extend (increase) the acquisition range of data for the next user if the reduction rate of the gas detection device 20 in the previous user's measurement is below a predetermined threshold.

[0309] For example, the biometric information measurement system 1 can also adjust the data acquisition range for the next user based on the change in the detection value of the gas detection device 20 after the previous user's measurement. In this case, the biometric information measurement system 1 can also postpone the data acquisition range for the next user if the increase in the detection value of the gas detection device 20 after the previous user's measurement exceeds a predetermined threshold. Furthermore, the biometric information measurement system 1 can also extend (increase) the data acquisition range for the next user if the increase in the detection value of the gas detection device 20 after the previous user's measurement exceeds a predetermined threshold.

[0310] The biometric information measurement system 1 can also advance the data acquisition range for the next user if the increase in the detection value of the gas detection device 20 after the previous user's measurement is below a predetermined threshold. Furthermore, the biometric information measurement system 1 can also shorten (reduce) the data acquisition range for the next user if the increase in the detection value of the gas detection device 20 after the previous user's measurement is below a predetermined threshold.

[0311] Through the above processing, the biological information measurement system 1 can acquire gas information that suppresses the influence of various noises in the bathroom space by setting an appropriate data acquisition range. In this way, the biological information measurement system 1 can suppress the influence of noise in the processing of gas usage information. It should be noted that the biological information measurement system 1 can also perform the various processes described above in the data acquisition range setting process. If the data acquisition range setting process and other processes can be combined, the biological information measurement system 1 can also perform the data acquisition range setting process and other processes in combination. For example, in the data acquisition range setting process, the biological information measurement system 1 can also control various components such as the suction device 10 based on the control of the first control example or the control of the second control example.

[0312] For example, after a user who is the subject of processing uses the bio-information measurement system 1, when determining (setting) the acquisition range of the data to be analyzed for that user, the bio-information measurement system 1 determines the acquisition range of the user's data through the aforementioned processing. For example, by performing the aforementioned data acquisition range setting processing, when analyzing the user's gas after using the user's restroom, the bio-information measurement system 1 can appropriately set the data acquisition range after the user who is the subject of processing. For example, if the bio-information measurement system 1 is constantly performing detection by the gas detection device 20, when determining (setting) which range of the data (gas composition measurement data) based on the gas detection device 20 should be used as the acquisition range, the aforementioned processing can appropriately set the data acquisition range.

[0313] It should be noted that the above-described data acquisition range setting process can also be applied to situations where the data acquisition range is set (in real time) when the user, who is the subject of the processing, is using the system. In this case, the biometric information measurement system 1 uses information up to the point in time when the data acquisition range for the user is being set (e.g., the time when the user is using the restroom) to set the data acquisition range for that user.

[0314] Furthermore, the biometric information measurement system 1 can also use various types of information to set the data acquisition range. For example, the biometric information measurement system 1 can also set the data acquisition range based on the amount of fecal gas excreted by the user being processed. For example, the biometric information measurement system 1 can also reduce the data acquisition range if the detection value of the gas detection device 20 used by the user being processed exceeds a predetermined threshold. In this way, for example, when the amount of fecal gas excreted by the user is low, the biometric information measurement system 1 can acquire the minimum amount of data required to suppress the possibility of insufficient data that cannot be analyzed by increasing the pre-set data acquisition range, i.e., increasing the amount of data, for example when the amount of fecal gas excreted by the user is low. Therefore, the biometric information measurement system can suppress the influence of noise in the processing of information on the use of gas.

[0315] Furthermore, for example, the biometrics system 1 can increase the data acquisition range when the detection value of the gas detection device 20 used by the user being processed is below a predetermined threshold. In this way, for example, when the user's excrement gas volume is high, the biometrics system 1 can acquire the minimum required data by reducing the preset data acquisition range, i.e., reducing the data volume. Therefore, the biometrics system can suppress the influence of noise in the processing of gas information. Furthermore, according to the biometrics system, by setting the data capacity required for gas composition analysis to the minimum required limit, the capacity of the memory used for analysis and the data communication capacity can be reduced.

[0316] It should be noted that the above-described embodiments and variations can be appropriately combined without causing contradictions in the processing content.

[0317] Those skilled in the art can readily derive further effects and variations. Therefore, the broader scope of the invention is not limited to the specific details and representative embodiments shown and described above. Thus, various modifications can be made without departing from the spirit or scope of the overall invention as defined by the appended claims and their equivalents.

[0318] The above-described embodiments and variations may also be configured as follows, but are not limited to the following.

[0319] (1) A biological information measurement system, characterized in that it comprises:

[0320] A suction device is used to extract gas from the basin of a toilet in the bathroom.

[0321] A gas flow path through which the gas drawn in by the suction device passes;

[0322] A gas detection device comprising a gas sensor that reacts to a specified gas component contained in a gas passing through the gas flow path;

[0323] The status detection unit detects changes in the status of the restroom; and

[0324] The standby time setting unit sets the standby time from the end of the previous user's measurement to the time when the next user can take a measurement, based on the historical records of the toilet status detected by the gas detection device or the status detection unit.

[0325] (2) The biological information measurement system according to (1) is characterized in that,

[0326] For the standby time, a specified time is set.

[0327] The standby time setting unit changes the standby time based on the historical records of the bathroom status detected during the standby time.

[0328] (3) The biological information measurement system according to (1) or (2) is characterized in that,

[0329] For the standby time, a specified time is set.

[0330] The standby time setting unit changes the standby time based on the historical records of the bathroom status detected during the period from the end of the measurement of the previous user to the start of the measurement of the next user.

[0331] (4) The biological information measurement system according to any one of (1) to (3), characterized in that,

[0332] The standby time setting unit changes the standby time based on the change or fluctuation of the gas detection device's detection value in the toilet status history record.

[0333] (5) The biological information measurement system according to any one of (1) to (4), characterized in that,

[0334] The standby time setting unit changes the standby time based on the detection results of at least one of the following actions detected by the status detection unit: toilet cleaning, local cleaning, sterilization cleaning, suction, and drying.

[0335] (6) The biological information measurement system according to any one of (1) to (5), characterized in that,

[0336] The standby time setting unit extends the standby time when the detection value of the gas detection device exceeds a predetermined threshold.

[0337] (7) The biological information measurement system according to any one of (1) to (6), characterized in that,

[0338] The standby time setting unit shortens the standby time when the detected value of the gas detection device is lower than a predetermined threshold.

[0339] (8) The biological information measurement system according to any one of (1) to (7), characterized in that,

[0340] The biological information measurement system has a notification unit that informs the next user of the standby time.

[0341] (9) The biological information measurement system according to any one of (1) to (8), characterized in that,

[0342] The biological information measurement system includes a control device for controlling the suction flow rate of the suction device.

[0343] When the suction flow rate of the suction device is set to x (L / min),

[0344] The condition is satisfied that 10 ≤ x ≤ 200.

[0345] (10) The biological information measurement system according to any one of (1) to (8), characterized in that,

[0346] The biological information measurement system includes a control device for controlling the suction flow rate of the suction device.

[0347] The setting condition in the drive of the gas detection device is set to y.

[0348] Set the suction flow rate of the suction device to x1 (L / min).

[0349] The number of signal processing steps when converting the electrical signal detected by the gas detection device into a digital signal is set to x2 (Hz), and

[0350] In Formula 1 below, with variables α, β, and b set to 0.025≤α≤0.045, -11≤β≤-7, and 1.5≤b≤3.0 respectively,

[0351] Satisfying 0≤y≤500,

[0352] [Formula 1] y=e (α*x1+β*x2+b) .

[0353] Furthermore, the above-described embodiments and variations may also be configured as follows, but are not limited to the following.

[0354] (1A) A biological information measurement system, characterized in that it comprises:

[0355] A suction device is used to extract gas from the basin of a toilet in the bathroom.

[0356] A gas flow path through which the gas drawn in by the suction device passes;

[0357] A gas detection device comprising a gas sensor that reacts to a specified gas component contained in a gas passing through the gas flow path;

[0358] The status detection unit detects changes in the status of the restroom; and

[0359] The data acquisition range setting unit sets the acquisition range of the data to be parsed by the data parsing unit in the gas composition measurement data based on the historical records of the toilet status detected by the gas detection device or the status detection unit.

[0360] (2A) The biological information measurement system according to (1A) is characterized in that,

[0361] The data parsing unit parses the data obtained within the data acquisition range.

[0362] The data acquisition range setting unit changes the data acquisition range based on the toilet status history detected after the previous user's data acquisition is completed.

[0363] (3A) The biological information measurement system according to (1A) or (2A), characterized in that,

[0364] The data parsing unit parses the data obtained within the data acquisition range.

[0365] The data acquisition range setting unit changes the data acquisition range based on the toilet status history detected immediately before the previous user's data acquisition ends.

[0366] (4A) The biological information measurement system according to any one of (1A) to (3A), characterized in that,

[0367] The data acquisition range setting unit changes the data acquisition range based on the change or fluctuation of the detection value of the gas detection device in the toilet status history record.

[0368] (5A) The biological information measurement system according to any one of (1A) to (4A), characterized in that,

[0369] The data acquisition range setting unit changes the data acquisition range based on the detection results of at least one of the actions detected by the state detection unit, namely toilet cleaning, local cleaning, sterilization cleaning, suction, and drying.

[0370] (6A) The biological information measurement system according to any one of (1A) to (5A), characterized in that,

[0371] If the detection value of the gas detection device exceeds a predetermined threshold, the data acquisition range setting unit postpones the end time of the data acquisition range.

[0372] (7A) The biological information measurement system according to any one of (1A) to (6A), characterized in that,

[0373] When the detection value of the gas detection device is lower than a predetermined threshold, the data acquisition range setting unit advances the end time of the data acquisition range.

[0374] (8A) The biological information measurement system according to any one of (1A) to (7A), characterized in that,

[0375] The data acquisition range setting unit sets the data acquisition range based on the departure signal in the restroom sensed by the state detection unit.

[0376] (9A) The biological information measurement system according to any one of (1A) to (8A), characterized in that,

[0377] The biological information measurement system includes a control device for controlling the suction flow rate of the suction device.

[0378] When the suction flow rate of the suction device is set to x (L / min),

[0379] The condition is satisfied that 10 ≤ x ≤ 200.

[0380] (10A) The biological information measurement system according to any one of (1A) to (8A), characterized in that,

[0381] The biological information measurement system includes a control device for controlling the suction flow rate of the suction device.

[0382] The setting condition in the drive of the gas detection device is set to y.

[0383] Set the suction flow rate of the suction device to x1 (L / min).

[0384] The number of signal processing steps when converting the electrical signal detected by the gas detection device into a digital signal is set to x2 (Hz), and

[0385] In Formula 1 below, with variables α, β, and b set to 0.025≤α≤0.045, -11≤β≤-7, and 1.5≤b≤3.0 respectively,

[0386] Satisfying 0≤y≤500,

[0387] [Formula 1] y=e (α*x1+β*x2+b) .

[0388] Explanation of reference numerals in the attached figures

[0389] 1: Biometric Information Measurement System; 2: Toilet Seat Device; 3: Main Body; 4: Measurement Device; 5: Toilet Seat; 6: Cleaning Nozzle; 7: Toilet Bowl; 8: Basin; 9: Toilet Cover; 10: Suction Device; 11: Gas Flow Path; 12: Inflow Section (Inlet); 13: Discharge Section (Outlet); 20: Gas Detection Device; 40: Gas Sensor; 50: Deodorizing Component; 100: Control Device; 110: Communication Section; 120: Storage Section; 130: Control Section; 131: Acquisition Section; 132: Processing Section (Standby Time Setting Unit, Data Acquisition Range Setting Unit); 133: Output Section (Notification Unit); 200: Estimation Unit; R: Toilet.

Claims

1. A biological information measurement system, characterized in that, have: A suction device is used to extract gas from the basin of a toilet in the bathroom. A gas flow path through which the gas drawn in by the suction device passes; A gas detection device comprising a gas sensor that reacts to a specified gas component contained in a gas passing through the gas flow path; The status detection unit detects changes in the status of the restroom; and The standby time setting unit sets the standby time from the end of the previous user's measurement to the time when the next user can take a measurement, based on the historical records of the toilet status detected by the gas detection device or the status detection unit.

2. The biological information measurement system according to claim 1, characterized in that, For the standby time, a specified time is set. The standby time setting unit changes the standby time based on the historical records of the bathroom status detected during the standby time.

3. The biological information measurement system according to claim 1, characterized in that, For the standby time, a specified time is set. The standby time setting unit changes the standby time based on the historical records of the bathroom status detected during the period from the end of the measurement of the previous user to the start of the measurement of the next user.

4. The biological information measurement system according to claim 1, characterized in that, The standby time setting unit changes the standby time based on the change or fluctuation of the gas detection device's detection value in the toilet status history record.

5. The biological information measurement system according to claim 1, characterized in that, The standby time setting unit changes the standby time based on the detection results of at least one of the following actions detected by the status detection unit: toilet cleaning, local cleaning, sterilization cleaning, suction, and drying.

6. The biological information measurement system according to claim 1, characterized in that, The standby time setting unit extends the standby time when the detection value of the gas detection device exceeds a predetermined threshold.

7. The biological information measurement system according to claim 1, characterized in that, The standby time setting unit shortens the standby time when the detected value of the gas detection device is lower than a predetermined threshold.

8. The biological information measurement system according to claim 1, characterized in that, The biological information measurement system has a notification unit that informs the next user of the standby time.

9. The biological information measurement system according to any one of claims 1 to 8, characterized in that, The biological information measurement system includes a control device for controlling the suction flow rate of the suction device. When the suction flow rate of the suction device is set to x... It satisfies 10≤x≤200, where the unit of x is L / min.

10. The biological information measurement system according to any one of claims 1 to 8, characterized in that, The biological information measurement system includes a control device for controlling the suction flow rate of the suction device. The setting condition in the drive of the gas detection device is set to y. Set the suction flow rate of the suction device to x1. The number of signal processing steps when converting the electrical signal detected by the gas detection device into a digital signal is set to x2, and In y = e (α*x1+β*x2+b) In the case where variables α, β, and b are set to 0.025≤α≤0.045, -11≤β≤-7, and 1.5≤b≤3.0 respectively, The condition is satisfied that 0 ≤ y ≤ 500, where x1 is in L / min and x2 is in Hz.

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