WO2018203565A1 - Health monitoring system, health monitoring method and health monitoring program - Google Patents

Health monitoring system, health monitoring method and health monitoring program Download PDF

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Publication number
WO2018203565A1
WO2018203565A1 PCT/JP2018/017473 JP2018017473W WO2018203565A1 WO 2018203565 A1 WO2018203565 A1 WO 2018203565A1 JP 2018017473 W JP2018017473 W JP 2018017473W WO 2018203565 A1 WO2018203565 A1 WO 2018203565A1
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WIPO (PCT)
Prior art keywords
user
unit
information
toilet
health monitoring
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PCT/JP2018/017473
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French (fr)
Japanese (ja)
Inventor
マリア 鶴岡
吉隆 和田
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サイマックス株式会社
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Priority claimed from JP2017091206A external-priority patent/JP2018109597A/en
Application filed by サイマックス株式会社 filed Critical サイマックス株式会社
Publication of WO2018203565A1 publication Critical patent/WO2018203565A1/en

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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/20Measuring for diagnostic purposes; Identification of persons for measuring urological functions restricted to the evaluation of the urinary system
    • EFIXED CONSTRUCTIONS
    • E03WATER SUPPLY; SEWERAGE
    • E03DWATER-CLOSETS OR URINALS WITH FLUSHING DEVICES; FLUSHING VALVES THEREFOR
    • E03D9/00Sanitary or other accessories for lavatories ; Devices for cleaning or disinfecting the toilet room or the toilet bowl; Devices for eliminating smells
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/26Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
    • G01N27/416Systems
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483Physical analysis of biological material
    • G01N33/487Physical analysis of biological material of liquid biological material
    • G01N33/493Physical analysis of biological material of liquid biological material urine

Definitions

  • the present invention relates to a health monitoring system, a health monitoring method, and a health monitoring program, and more particularly to a health monitoring system, a health monitoring method, and a health monitoring program that are installed in a toilet and analyze urination to estimate a disease.
  • Patent Document 1 discloses that the concentration of a specific component in one urine of a human being measured and the concentration of the specific component in the whole urine of one day measured.
  • the data representing the correlation between the data is stored, and using the correlation, the concentration of the specific component in the whole urine of the subject is calculated and obtained, and the subject's concentration is calculated from the obtained concentration.
  • a urination information measuring device for calculating the amount of excretion of a specific component in the whole urine of a day is disclosed.
  • Patent Document 2 discloses a urination information measuring device for calculating urine output and urine flow rate by a bowl of a toilet bowl for storing urine and urine data measuring means for measuring the volume and weight of urine stored in the bowl. It is disclosed.
  • the urination measuring device described in Patent Document 2 calculates a urination amount and a urine flow rate based on each water level or a water level change rate at the start of urination or at the end of urination, and applies a predetermined vibration model to the calculated data.
  • the urination information is calculated by processing according to the above.
  • Patent Document 1 it is largely composed of a housing and a sensor unit, and the housing must be sprinkled with the urine excreted by the subject to be measured by holding the housing with the hand of the subject. Convenience was not always sufficient.
  • the present invention has an object to provide a simple and easy-to-use health monitoring system, health monitoring method, and health monitoring program for analyzing urination such as urine component analysis and estimating a disease based on the analysis result. .
  • the health monitoring system performs wireless communication with a detection unit that detects that a user has entered a predetermined range from the toilet and a communication device that is held by the user that is within the predetermined range from the toilet, An acquisition unit that periodically acquires user information for identifying the user, a specific unit that identifies the user based on the user information, and the potential of the urinary or urination of the toilet user A measurement unit that measures urine components based on the potential measured by the measurement unit and generates urination information, and an estimation unit that estimates a user's disease based on urination information .
  • the specifying unit may further specify the user based on the user's behavior.
  • the health monitoring system may be configured such that the specifying unit specifies the user based on the behavior from when the user enters the private room where the toilet is installed to when the user exits. .
  • the acquisition unit, the specific unit periodically, until the detection unit detects that the user has entered the predetermined range, and until the user is not detected.
  • the user corresponding to the user information that has been acquired by the acquisition unit may be specified as the user of the toilet.
  • the detection unit includes a pressure sensor that detects that the user is seated on the toilet seat, and the specifying unit detects that the user is seated on the front seat. During this time, the user corresponding to the user information that the acquisition unit has continuously acquired may be specified as the user of the toilet bowl.
  • the detection unit includes an open / close detection sensor for detecting opening / closing of a door provided for a private room in which the toilet is installed, and the specific unit includes an open / close detection sensor for opening / closing the door. It is good also as specifying the user corresponding to the user information which the acquisition part continued acquiring while detecting twice as a user of a toilet bowl.
  • the health monitoring system further stores, for each user, behavior information indicating the behavior content from when the user enters the private room where the toilet is installed until the user exits.
  • the identifying unit identifies the user by comparing the behavior from when the user enters the private room where the toilet is installed to when the user exits, with the behavior information indicated in the storage unit. It is good as well.
  • the specific unit includes a behavior from when the user enters the private room where the toilet is installed to when the user exits, and other actions adjacent to the private room where the toilet is installed.
  • the user may be specified based on the behavior of another user who uses the toilet installed in the private room.
  • the health monitoring system may further include a registration unit that registers at least one of liquid information, urination information, and disease for each user in the storage unit. .
  • the health monitoring system method includes a detection step of detecting that a user has entered a predetermined range from the toilet, and wireless communication with a communication device held by the user existing within the predetermined range from the toilet. ,
  • An acquisition step for periodically acquiring user information for identifying the user, a specific step for identifying the user based on the user information, and urination or urination of the toilet user A measurement step for measuring potential, an analysis step for generating urination information by analyzing a user's urine component based on the potential measured in the measurement step, and an estimation step for estimating a user's disease based on the urination information And.
  • the health monitoring program provides a computer with a detection function for detecting that a user has entered a predetermined range from the toilet, and a wireless communication with a communication device held by the user existing within the predetermined range from the toilet.
  • a detection function for detecting that a user has entered a predetermined range from the toilet
  • a wireless communication with a communication device held by the user existing within the predetermined range from the toilet.
  • a measurement function that measures the potential of water
  • an analysis function that analyzes the user's urine components based on the potential measured by the measurement function, and generates urination information, and predicts the user's disease based on the urination information
  • a guess function is realized.
  • a health monitoring system, a health monitoring method, and a health monitoring program according to the present invention include a measuring unit that measures fluid information related to fluid in the stored water into which urination of a toilet user flows, and a region where the fluid flows based on the fluid information.
  • the analysis part which analyzes urination by analyzing the fluid model which modeled this, and the estimation part which estimates a user's disease based on the urination information of urination are provided.
  • the urine component can be measured simply by installing the health monitoring system according to the present invention in the existing toilet bowl, and the subject can measure the urine component simply by excreting as usual. Therefore, the measurement can be performed more simply and hygienically than the measurement, and the usability can be improved.
  • the health monitoring system, health monitoring method, and health monitoring program according to the present invention analyze fluid movement by fluid simulation and analyze urine volume, it takes into account how much urination is diluted by stored water. Can be analyzed accurately.
  • the health monitoring system, health monitoring method, and health monitoring program according to the present invention can improve simplicity and convenience in analyzing urination information and inferring diseases.
  • FIG. 1 is a diagram schematically illustrating an example of an overview of an embodiment of a health monitoring system 500.
  • FIG. It is a figure which shows typically an example of the general appearance of the measuring apparatus 200 of the health monitoring system 500.
  • FIG. It is a figure which shows typically an example of the internal structure of the measurement part 210 which comprises the measuring apparatus 200 which concerns on Embodiment 1.
  • FIG. It is a figure which shows typically an example of the internal structure of the measurement part 210 which comprises the measuring apparatus 200 which concerns on Embodiment 2.
  • FIG. It is a figure which shows typically an example of a structure of the film and reagent which comprise the imaging
  • FIG. It is a data conceptual diagram which shows the data structural example of the database of the data which the health monitoring system 500 memorize
  • FIG. 10 is a flowchart illustrating an operation of the health monitoring system according to the third embodiment.
  • 12 is a flowchart illustrating details of another operation example of the health monitoring system according to the third embodiment.
  • FIG. 1 is a system diagram showing an example of a health monitoring system configuration according to the present invention.
  • the system includes a server 100, a measuring apparatus 200, and a user terminal 300.
  • Server 100 is connected to measurement device 200 and user terminal 300 via network 400.
  • the specific device of the user terminal 300 is not limited to a smartphone as illustrated, and may be a mobile terminal, a tablet terminal, a personal computer, or other electronic devices, for example.
  • the system may use a cloud service (including both public cloud and private cloud), or may provide a service by physically providing a shared or dedicated server in the target facility.
  • the user terminal 300 is equipped with an application (hereinafter referred to as a “health monitoring app”) that displays health condition monitoring results (including analysis results and estimation results) that are a part of the health monitoring system according to an embodiment of the present invention. As shown in FIG. 3, it is possible to check the health status of the user by viewing the display of the health monitoring application.
  • a health monitoring app an application that displays health condition monitoring results (including analysis results and estimation results) that are a part of the health monitoring system according to an embodiment of the present invention. As shown in FIG. 3, it is possible to check the health status of the user by viewing the display of the health monitoring application.
  • the health monitoring system 500 installs a measuring device 200 in an existing toilet or the like, and measures fluid information regarding the fluid in the stored water into which the urine of the user of the toilet flows into the measuring device 200. Then, based on the fluid information measured in the server 100, the urination is analyzed by analyzing a fluid model obtained by modeling the region in which the fluid flows. Based on the urination information of the analyzed urination, the disease of the user Can be guessed. As a result, the health monitoring system 500 is simple and easy to use because, for example, the user can determine signs of illness, positive / negative, etc. by simply performing normal urination while staying at home or at work. Good health monitoring service with good sustainability.
  • the health monitoring system 500 is not limited to application to homes and workplaces, but can be used for patient health management in nursing homes and hospitals, and can reduce risk on the management side.
  • “urination information” refers to various types of information related to urination of the user, and may include urine volume, urine temperature, urine components, and the like.
  • the health monitoring system 500 may be configured by the measurement device 200 alone or the measurement device 200 and the user terminal 300.
  • a service using a cloud service is shown.
  • a cloud doctor service using artificial intelligence for example, by machine learning using deep learning or the like
  • a physical condition medical service for example, a patient's health status over a network
  • a cloud mother service for example, a service for monitoring a child's health and physical condition over a network.
  • FIG. 2 is a block diagram illustrating an example of functional configurations of the server 100, the measurement apparatus 200, and the user terminal 300.
  • positioning of each part you may change suitably between the server 100, the measuring apparatus 200, and the user terminal 300 according to the operating environment, the condition, etc. of each apparatus.
  • the analysis unit 121, the correction unit 122, the analysis unit 123, and the estimation unit 124 of the server 100 may be arranged in the control unit 230 of the measurement apparatus 200 or may be arranged in the control unit 320 of the user terminal 300.
  • the server 100 includes a communication unit 110, a control unit 120, and a storage unit 130.
  • the server 100 can be configured in a multi-stage configuration.
  • the server 100 may be configured by a server (relay server) installed in a facility and a server that includes a specific area including a plurality of facilities or all areas.
  • a server relay server
  • a threshold value is set for the storage capacity of the storage unit 250 (2) periodically (for example, every fixed time determined in consideration of the capacity of the storage unit 130). The timing when the threshold is reached may be used as the transmission timing.
  • the communication unit 110 includes a reception unit 111 and a transmission unit 112, and has a function of executing communication with the measurement apparatus 200 and the user terminal 300 via the network 400.
  • the communication may be either wired or wireless, and any communication protocol may be used as long as mutual communication can be performed.
  • the receiving unit 111 has a function of receiving measurement data and the like from each measuring device 200 and each user terminal 300 via the network 400 according to the control of the control unit 120 and transmitting the measurement data to the control unit 120.
  • the receiver 111 stores the water temperature information of the water in the bowl of the toilet bowl from the measuring device 200 and the water containing the urine of the user of the toilet bowl (hereinafter referred to as “urine-containing water”).
  • Voltage information based on the potential difference between the electrodes by immersing the electrode in urine-containing water, user identification information for identifying the user, illuminance information, and imaging information obtained by imaging the film reacted with the reagent in the imaging unit 212 (hereinafter referred to as “imaging information”) Is transmitted to the control unit 120.
  • the transmission unit 112 has a function of transmitting control data and the like to each measuring device 200 and monitoring result data and the like to each user terminal 300 through the network 400 according to the control of the control unit 120.
  • the transmission unit 112 includes user information (for example, ID information) stored in the storage unit 130 for control of the user identification unit 220, measurement and photographing of the measurement unit 210, and user identification unit 220.
  • Dynamic parameter data and the like necessary for identification are transmitted to the measuring apparatus 200, and display data representing monitoring results such as analysis results related to the analyzed urine component, estimation results related to the positive and negative of the estimated disease, etc. It transmits to the user terminal 300.
  • the control unit 120 is a processor that includes an analysis unit 121, a correction unit 122, an analysis unit 123, and an estimation unit 124, and has a function of controlling each unit of the server 100. Further, when the analysis result is transmitted from the analysis unit 123 or when the estimation result is transmitted from the estimation unit 124, the control unit 120 displays the text, a table, or a graph on the display unit 330 of the user terminal 300. Generate display data. The control unit 120 transmits the generated display data to the transmission unit 112 for transmission to the user terminal 300.
  • the analysis unit 121 has a function of analyzing urination by analyzing a fluid model obtained by modeling a region where the fluid flows based on the fluid information.
  • fluid information refers to information necessary for fluid analysis, and is composed of toilet bowl shape information (hereinafter referred to as “shape information”), information on the amount of water stored in the toilet bowl, water temperature information, and the like. Is done.
  • the analysis unit 121 flows around the measurement unit 210 based on at least one of, for example, the shape information of the toilet bowl, the amount of water stored in the toilet bowl, or the water temperature information. Based on the fluid model obtained by modeling the fluid, urination is analyzed by analyzing the fluid around the measurement unit 210 and calculating the amount of urine. In addition to the toilet bowl shape information, the amount of stored water in the toilet bowl, and the water temperature information, the analysis unit 121 includes at least information on the toilet environment such as the amount information of the detergent or the component information of the detergent. By adding any one of them, the urination information may be analyzed by modeling the fluid based on these. This eliminates the need to collect urine alone to measure urine volume, or to measure urine volume from the rate of change in water level using a measuring instrument attached to a toilet bowl or drainage pipe. A health monitoring system can be provided.
  • Modeling of the fluid is based on the water temperature information generated from the measured water temperature of the stored water and urine-containing water using, for example, regression analysis by SVM (Support vector machine), etc. It is possible to construct and analyze a prediction model of how it will change and eventually converge.
  • the SVM may be combined with the data structure derived by the kernel method for analysis.
  • a regression model may be constructed and analyzed using regression analysis by the MCMC method (Markov Chain Monte Carlo) (Markov chain Monte Carlo method).
  • MCMC method Markov Chain Monte Carlo
  • CFD Computational Fluid Dynamics
  • the urine volume q u is the amount of change T of the temperature of the stored water in the toilet bowl before urination and the temperature of the urine-containing water after urination.
  • the correction unit 122 has a function of correcting the voltage information based on the water amount information and the urination information including the urine amount. Specifically, for example, the correction unit 122 calculates the dilution level by dividing the urine volume by the sum of the water volume and the urine volume, and corrects the voltage information based on the dilution level. As a result, it is possible to acquire voltage information in consideration of dilution by stored water in the bowl of the toilet bowl, and to analyze urine components.
  • the correction unit 122 uses the urine volume q u , the water volume q t in the bowl of the toilet bowl, and the potential difference E as the voltage information as the voltage information E ′ corrected as the voltage information based on the dilution degree, It can be expressed as (2).
  • the correction unit 122 has a function of correcting shooting information based on illuminance information.
  • “illuminance information” refers to information representing the illuminance (brightness) (lx) of the film surface of the photographing unit 212.
  • the correction unit 122 performs correction by adjusting the brightness of the RGB value to an appropriate value based on the illuminance information.
  • RGB values can be obtained in consideration of the influence of illumination, and color measurement can be performed with high accuracy.
  • the analysis unit 123 has a function of analyzing urine components based on voltage information or corrected voltage information (hereinafter referred to as “voltage information (after correction)”). Specifically, the analysis unit 123 analyzes the molecular concentration of components such as chloride, glucose, potassium, sodium, and urea in urine based on, for example, voltage information (after correction). Further, the ph value can be analyzed as shown in FIG. Thereby, even if urine is diluted with stored water, it can be analyzed with high accuracy. Further, the analysis unit 123 transmits the analysis result to the control unit 120 in order to generate display data to be displayed on the user terminal 300.
  • voltage information after correction
  • the analysis unit 123 also has a function of analyzing the urine component based on the imaging information or the corrected imaging information (hereinafter referred to as “imaging information (after correction)”). Specifically, for example, the analysis unit 123 measures the color of a color development reaction of a specific component in urine with respect to the reagent based on imaging information (RGB values), and the specific component in urine corresponding to the color or its concentration Analyze. Further, the analysis unit 123 transmits the analysis result to the control unit 120 in order to generate display data to be displayed on the user terminal 300. Thereby, analysis of specific components in urine and their concentrations by bioassay (such as immunochromatography) can be realized automatically and simply without human intervention, such as by visual inspection.
  • bioassay such as immunochromatography
  • the estimation unit 124 has a function of estimating a user's disease based on the analyzed urination information of urination. Specifically, the estimation unit 124 estimates the user's disease based on, for example, the analyzed specific component in urine (specifically, for example, the concentration of the component). As an example, as shown in FIG. 10, the urine sugar value is calculated by analyzing the concentration of glucose in urine, and it is estimated whether diabetes is positive or negative. FIG. 10 also shows the correspondence between the measurement result of the other measurement unit 210 or the analysis result of the analysis unit 123 (referred to as “measurement / analysis result”) and information such as a disease estimated from the measurement / analysis result. An example is shown. In the estimation by the estimation unit 124, the estimation described in the example of the association may be included. In addition, the estimation unit 124 transmits the estimation result to the control unit 120 in order to generate display data to be displayed on the user terminal 300.
  • the estimation unit 124 transmits the estimation result to the control unit 120 in order to generate display data to
  • (1) estimation based on a threshold value and (2) estimation based on machine learning can be used.
  • the estimation unit 124 compares the measurement result with a threshold value stored in the storage unit 130, for example, normal (or negative) if the value is within the threshold value, and exceeds the threshold value. If so, it is judged as abnormal (or positive) and the disease is estimated.
  • the feature quantity of the measurement result is extracted, and a feature vector is created based on the feature quantity.
  • the created feature vectors are data created using multiple sets of dictionary data (measurement values and test results linked to the measurement values (results of positive or negative disease based on analysis results and estimation results)).
  • the data is used on the basis of training data (teacher data) in machine learning, and a disease is estimated based on the identification result.
  • a neutral network perceptron
  • SVM perceptron
  • the estimation accuracy of the estimation unit 124 can be improved by the learning effect of machine learning.
  • the storage unit 130 has a function of storing various programs, data, and parameters necessary for the operation of the server 100.
  • the storage unit 130 includes fluid information (toilet bowl shape information, toilet water volume information), imaging information, weight information, illuminance information, user identification information, and communication unit 110, control unit. 120 and parameters necessary for the operation of the storage unit 130 are stored.
  • the storage unit 130 stores information necessary for analysis and analysis, measurement results, and inspection results (analysis results and estimation results) in various databases (hereinafter referred to as “DB”).
  • DB databases
  • the data storage and management method is not limited to the DB, and may be stored and stored in various setting files (hereinafter referred to as “setting file”) such as a definition file, a parameter file, and a temporary file.
  • the storage unit 250 is typically realized by various recording media such as an HDD (Hard Disc Drive), an SSD (Solid State Drive), and a flash memory (SD (Secure Digital) memory card).
  • HDD Hard Disc Drive
  • SSD Solid State Drive
  • SD Secure Digital
  • the measurement apparatus 200 includes a measurement unit 210, a user identification unit 220, a control unit 230, a communication unit 240, and a storage unit 250. Moreover, the measuring apparatus 200 can arrange
  • a device in which only the measuring unit 210 is arranged is installed in the bowl of the toilet bowl, etc., and one device may be installed as long as there is no problem in communication, and the device configuration has versatility with respect to the shape of the toilet bowl. It can be.
  • the measuring unit 210 includes an electrode unit 211, a photographing unit 212, an illuminance sensor unit 213, and a temperature measuring unit 214.
  • the measurement unit 210 may be installed such that at least a part of the electrode unit 211, the imaging unit 212, and the temperature measurement unit 214 is immersed in water stored in the bowl of the toilet bowl.
  • the transmission is triggered by the electrode unit 211, the imaging unit 212, the illuminance sensor unit 213, and the temperature measurement.
  • Each measurement can be started by the unit 214.
  • the measurement unit 210 has at least one of temperature information generated by the temperature measurement unit 214 (for example, the water temperature of stored water or urine-containing water) or voltage information generated by the electrode unit 211 (for example, potential difference) at a predetermined threshold. When it reaches, each measurement of each unit constituting the measurement unit 210 can be automatically started or ended. As a result, the user can start the measurement in the normal urination action without performing the selection operation action of starting or ending each time the measurement is started or finished, and a user-friendly measuring device can be provided. In addition, it is preferable to set it as 38 degree
  • the measurement unit 210 may automatically start the measurement triggered by the user identification unit 220 completing the user identification process. Furthermore, the measurement unit 210 may provide a threshold value for each measurement item, and may end the measurement with the trigger of the acquisition of data that reaches the threshold value. Further, the measurement unit 210 may manually start or end the measurement by an operation input from the display unit 330 of the user terminal 300. Furthermore, a human sensor (not shown) is provided in the measuring apparatus 200, and the measurement is started by detecting that a human sign is detected by infrared rays or the like of the human sensor, or that the human sign is lost. The measurement may be terminated with the detection as a trigger.
  • the electrode unit 211 measures the electromotive force (potential difference, voltage value) by the electrolyte and the current value flowing between the electrodes immersed in urine-containing water using two or more electrodes for a specific component in the urine that is an electrolyte. And has a function of generating voltage information.
  • the electrode unit 211 includes two or more electrodes, a potentiometer, and an ammeter in order to measure the concentration of a specific component in urine.
  • the electrode unit 211 uses one electrode as a reference electrode and another electrode as a working electrode, so that these electrodes are immersed in urine-containing water, and the concentration (activity of urine components for analysis of urine-containing water) ) To measure the electromotive force difference between the working electrode and the reference electrode in response to the potentiometer. Voltage information is generated based on the measurement result, and the generated voltage information is transmitted to the transmission unit 242 via the control unit 230 in order to transmit the voltage information to the server 100.
  • “voltage information” refers to information relating to electromotive force (potential difference, voltage value) due to a specific component (electrolyte) in urine generated using the electrode of the electrode unit 211.
  • the enzyme electrode method (GOD (Glucose OxiDase) method) may be used, and the electrode method using three electrodes is added by adding an electrode as a counter electrode. It may be used. Thereby, the density
  • the potential difference E as voltage information, the pH value pH i of the reference electrode, and the pH value pH o which is a hydrogen ion concentration as a characteristic component in urine can be expressed as the following equation (3).
  • the photographing unit 212 has a function of photographing a reaction state by causing a color component to react with a specific component in urine using a bioassay.
  • the photographing unit 212 includes a film that changes color according to a component of urine-containing water and a photographing unit that photographs the film.
  • the “film” can be added with a reagent to cause a color reaction of a specific component in urine, and is in the form of a tape (for example, a thin band-like thickness that can be wound on a reel, etc. ), Any material may be used, and it may be composed of a polymer component such as a synthetic resin, or may be composed of a fiber such as paper or cloth.
  • the film is preferably transparent.
  • the film when the imaging unit 212 uses an immunochromatography method as an assay method, the film includes a sample pad, a conjugate pad, a test line (detection line), a control line, a membrane, an absorption pad, and the like. This is not the case.
  • the structure of the film will be described later with reference to FIGS.
  • the urine-containing water is immersed in the sample pad and absorbed, and the RGB (Red Green Blue) value of the color developed by the color reaction of the test line and control line is read by taking a picture with a photographing means such as a camera. RGB values) are transmitted to the transmission unit 242 via the control unit 230 for transmission to the server 100.
  • RGB Red Green Blue
  • the server 100 measures the color developed by the color reaction based on the photographing information. Accordingly, it is possible to measure the color at a lower cost than reading the wavelength using a spectroscope or the like. At this time, it is assumed that noise is included, but the correction unit 122 of the server 100 can remove the noise.
  • Patent Documents 1 and 2 use an antigen-antibody reaction such as an immunochromatographic assay method, add a specimen to a pad to cause an antigen-antibody reaction, and form a complex. There is a problem in that it cannot be applied to a test method in which the antibody is further bound as a complex and the reaction (for example, color development) is used to determine the positive or negative of pregnancy or disease.
  • an antigen-antibody reaction such as an immunochromatographic assay method
  • the health monitoring system 500 further includes a filming unit 212 including a film that changes color according to the component of the accumulated water into which urine flows and a photographing unit that photographs the film and generates photographing information.
  • the unit 122 corrects the imaging information based on the urination information including the water amount information and the urine volume of urination, and the analysis unit 123 analyzes the urine component based on the corrected imaging information, so that an antigen such as an immunochromatographic assay method is used. It can also be applied to a test method using an antibody reaction, and more measurements can be performed as compared with a urination information measuring device installed in a conventional toilet.
  • the illuminance sensor unit 213 has a function of measuring the illuminance (brightness) of the film surface photographed by the photographing unit 212. It is composed of a light receiving element such as a photodiode. For example, the illuminance sensor unit 213 detects the illuminance by converting the light incident on the light receiving element into an electric current, and transmits the illuminance information to the server 100, and transmits the illuminance information to the transmission unit 242.
  • the server 100 can correct the measurement result of the color using the illuminance information. As a result, it is possible to obtain a color measurement result in consideration of illuminance by illumination, and to analyze the reaction state of a specific component for analysis in urine with high accuracy.
  • the temperature measuring unit 214 has a function of generating water temperature information by measuring the temperature of stored water in the bowl of the toilet bowl or the temperature of urine-containing water.
  • the temperature measurement unit 214 includes, for example, a thermistor, an oscillator, and a counter.
  • a thermistor outputs a change in resistance value due to a temperature change, converts the change in resistance value into a frequency by an oscillator, measures the frequency by a counter, and measures the temperature.
  • the water temperature information is transmitted to the transmission unit 242 via the control unit 230 for transmission to the server 100.
  • the user identification unit 220 has a function of identifying a user to be monitored by the health monitoring system 500 using a toilet.
  • the user identification unit 220 is connected to the measurement unit 210 via a cable or the like, and includes a suction unit for a ceramic device such as a tank so as to be installed in a tank for storing cleaning water.
  • a suction unit for a ceramic device such as a tank so as to be installed in a tank for storing cleaning water.
  • other attachment means may be provided.
  • the user identification unit 220 is, for example, information (for example, QR code (registered trademark)) that uniquely identifies the user that is output by the health monitoring application installed in the user terminal 300 owned by the user.
  • the information for identifying the user is hereinafter referred to as “user identification information”), magnetic information for uniquely identifying the user of an IC (Integrated Circuit) card owned by the user, WiMAX (Worldwide Interoperability for Microwave Access), Reads information that uniquely identifies the user such as WiFi (Wireless Fidelity) and Bluetooth (registered trademark) such as wireless LAN (Local Area Network) (for example, received signal strength information, radio wave received strength information, etc.) Identify.
  • WiFi Wireless Fidelity
  • Bluetooth registered trademark
  • wireless LAN Local Area Network
  • the user can be automatically identified simply by holding the user terminal 300 or the IC card over the user identifying unit 220, and the network can be automatically identified, and as a result It is possible to identify an institution (for example, a company, a hospital, a school, etc.), and each time a user uses a toilet, information that identifies the user or information that identifies a specific institution is input. And can be easily identified.
  • an institution for example, a company, a hospital, a school, etc.
  • the user identification unit 220 may be configured to include the measurement unit 221.
  • the measurement unit 221 measures the weight (Kg weight) of a user received by the toilet seat in the case of a Western-style toilet, and stores information on the measured weight for each user (hereinafter referred to as “weight information”). To remember.
  • the user identification unit 220 identifies a user based on the weight information and generates user identification information.
  • the user identification unit 220 includes a face recognition sensor, a face authentication, a posture detection sensor, a posture detection, a pulse measurement unit, a user pulse measurement, a blood pressure measurement unit, and a user's pulse measurement unit.
  • a user may be identified by blood pressure measurement, body fat percentage measurement means and user body fat percentage measurement, muscle mass measurement means and user muscle mass measurement.
  • the user identification information may be transmitted to the server 100 together with the set water temperature information, voltage information, user identification information, illuminance information, and photographing information, or may be transmitted at the identified timing.
  • the user identification unit 220 is transmitted to the transmission unit 242 via the control unit 230 for transmission to the server 100.
  • the user can be automatically identified as part of normal urination, and the user can easily identify the user without inputting information for identifying the user every time the toilet is used. it can.
  • the control unit 230 is a processor having a function of controlling each unit of the measurement apparatus 200.
  • the control unit 230 can include an input unit that allows the user to manually select the start of each measurement related to urination (not shown).
  • the control unit 230 notifies the measurement unit 210 that the measurement start is input by the input unit.
  • the communication unit 240 includes a reception unit 241 and a transmission unit 242, and has a function of executing communication with the server 100 and each user terminal 200 via the network 400.
  • the communication may be wired or wireless (for example, a communication method such as Wi-Fi (Wireless Fidelity), BLE (Bluetooth Low Energy), ZigBee, etc.), and any communication can be performed.
  • Various communication protocols may be used.
  • the receiving unit 241 has a function of receiving control data and the like from each server 100 and each user terminal 300 via the network 400 according to the control of the control unit 230 and transmitting the control data and the like to the control unit 120.
  • the reception unit 241 includes user information (for example, ID information) stored in the storage unit 130 for controlling the user identification unit 220 from the server 100, measurement and photographing of the measurement unit 210, and a user identification unit. Dynamic parameter data and the like necessary for identification 220 are received and transmitted to the control unit 230.
  • the transmission unit 242 has a function of transmitting measurement data and the like to the server 100 and each user terminal 300 through the network 400 under the control of the control unit 230. Specifically, for example, the transmission unit 242 transmits water temperature information, voltage information, user identification information (including measurement information), illuminance information, and shooting information to the server 100 or each user terminal 300.
  • the transmission timing of the transmission unit 242 is (1) immediately after measurement (for example, triggered by transmission of measurement data from the measurement unit 210), (2) periodically (for example, by the user) (3) When a threshold value is set for the storage capacity of the storage unit 250 and the threshold value is reached, the transmission timing may be set as a transmission timing. .
  • the storage unit 250 has a function of storing various programs, data, and parameters necessary for the measurement apparatus 200 to operate. Specifically, for example, the storage unit 250 stores user information and parameters necessary for the operation of the measurement unit 210, the user identification unit 220, the control unit 230, and the communication unit 240.
  • the storage unit 250 is typically realized by various recording media such as an HDD (Hard Disc Drive), an SSD (Solid State Drive), and a flash memory (SD (Secure Digital) memory card).
  • HDD Hard Disc Drive
  • SSD Solid State Drive
  • SD Secure Digital
  • the user terminal 300 includes a communication unit 310, a control unit 320, a display unit 330, and a storage unit 340. Each unit of the user terminal 300 may be included in the health monitoring application, or may be incorporated in the circuit of the user terminal 300.
  • the communication unit 310 includes a reception unit 311 and a transmission unit 312 and has a function of performing communication with the server 100 and each measurement device 200 via the network 400.
  • the communication may be either wired or wireless, and any communication protocol may be used as long as mutual communication can be performed.
  • the receiving unit 311 has a function of receiving display data and the like from each server 100 and each measuring apparatus 200 via the network 400 and transmitting the display data and the like to the control unit 320 under the control of the control unit 320. Specifically, the receiving unit 311 receives, for example, display information including a urine test result from the server 100 and stores the user information (for example, ID information) stored in the storage unit 130 for control of the user identification unit 220. And the like, and the dynamic parameter data necessary for the measurement and photographing of the measurement unit 210 and the identification of the user identification unit 220 are received and transmitted to the control unit 230.
  • the transmission unit 312 transmits user identification such as input information and QR code (registered trademark) information input from the display unit 330 to the server 100 and each measurement device 200 via the network 400 under the control of the control unit 320. It has a function of transmitting information and the like.
  • the control unit 320 is a processor having a function of controlling each unit of the user terminal 300.
  • the control unit 320 displays text, a table, or a graph on the display unit 330 of the user terminal 300. Generate display data.
  • the control unit 120 transmits the generated display data to the transmission unit 112 for transmission to the user terminal 300.
  • the display unit 330 has a function of displaying display data received from the server 100 or the measuring apparatus 200. Specifically, for example, as shown in FIG. 3, the display unit 330 displays a measurement value related to the measured urination and a measurement result such as normal or abnormal, an analysis result related to the analyzed urine component, an estimated disease Display data representing monitoring results such as a positive or negative estimation result is displayed using text, a table, a graph, or the like. The result may be displayed in display units designated by the user, such as daily, weekly, or monthly.
  • the display unit 330 may include input means for the user, for example, to input user identification information (for example, name, age, sex, height, weight, etc.).
  • the storage unit 340 has a function of storing various programs, data, and parameters necessary for the user terminal 300 to operate. Specifically, for example, the storage unit 340 stores user identification information and parameters necessary for operations of the communication unit 310, the control unit 320, the display unit 330, and the storage unit 340.
  • the storage unit 250 is typically realized by various recording media such as an HDD (Hard Disc Drive), an SSD (Solid State Drive), and a flash memory (SD (Secure Digital) memory card). The above is the configuration of the user terminal 300.
  • FIG. 3 is a diagram schematically illustrating an example of an overview of the health monitoring system 500.
  • This example is an example in which the measurement apparatus 200 is installed in a Western-style toilet and a health monitoring system is used.
  • the type of toilet bowl is not limited to a western style toilet bowl, and a Japanese style toilet bowl or the like may be used for any type of toilet bowl as long as the toilet bowl has water for washing and drainage.
  • a part for example, the measurement unit 210) that measures information related to the stored water and urine-containing water of the measuring device 200 is installed in a device immersed in the stored water in the bowl of the toilet bowl.
  • the device in which the user identification unit 220 is arranged is located at a position where the user terminal 300 or the like is placed so that the device can read the QR code information output from the user terminal 300 owned by the user and the information output from the IC card. It is preferable that the device be arranged. Thereby, it is possible to perform measurement after identifying the user without inputting user identification information to the measuring apparatus 200 every time the user uses it.
  • FIG. 5 is a diagram schematically illustrating an example of the internal structure of the measurement unit 210 according to the first embodiment. Specifically, FIG. 5 shows an example of the structure relating to the film of the photographing unit 212 constituting the measuring unit 210. As shown in FIG. 5, the photographing unit 212 includes two reels that stretch a film from one reel and wind it around the other reel, and automatically rotate the reel at every measurement start or every measurement end. In this way, the film can be sequentially sent out and stored in the stored water in which urine flows.
  • the film of the photographing unit 212 as an example of a roll type, a reel 10a on which an unused film 30a is wound and a reel 20a on which a used film 30a is wound are arranged in a measuring unit 210. Then, the film 30a is stretched from the reel 20b and wound around the reel 20a, so that the film 30a is sequentially sent and immersed in the stored water or urine-containing water.
  • the photographing unit 212 causes a color reaction of the reagent placed on the immersed film, and photographs the reaction by photographing means (not shown) of the photographing unit 212.
  • the film is taken out one by one and immersed in water or urine-containing water sequentially, and the reagent placed on the film is subjected to a color reaction. You may let them.
  • the user does not need to change the film every measurement and can save time and effort, so that the measuring device 200 that is easy to use can be provided.
  • FIG. 6 is a diagram schematically illustrating an example of the internal structure of the measurement unit 210 according to the second embodiment.
  • the measuring unit 210 is divided into two layers, an upper part and a lower part, with the partition 40b as a reference, and the upper part (the side where the reel 20b on which the used film is wound) is disposed from the partition 40b.
  • the lower part (arrangement side of the reel 10b on which an unused film is wound) from the partition 40b can be used.
  • the discard unit may be used as a storage space for discarding the used water-soluble film by dissolving it in the stored water in the toilet bowl.
  • the discarding unit may contain a chemical such as a surfactant, or may be sterilized or antibacterial, or may be evacuated to prevent breeding.
  • the configuration of the film 30b, the reel 20a, and the reel 10b may be a roll type as shown in the first embodiment, or the partition 40b is automatically opened when all the films on the reel 10b are used up.
  • FIG. 7 is a diagram schematically illustrating an example of the configuration of the film and the reagent that constitute the imaging unit 212.
  • a top film 60 for protecting the surface of the reagent and a support film 80 for placing the reagent to make a support for the reagent
  • the top film 60 and the support film 80 thus, a film constituting the photographing unit 212 can be formed with a reagent interposed therebetween.
  • the top film 60 (1) dissolves the top film 60 at the time of measurement using a water-soluble film, and (2) incorporates a mechanism for peeling the top film 60 into the measurement unit 210 and peels it immediately before the measurement.
  • (1) or (2) it is possible to protect the reagent until immediately before the measurement and prevent the reagent from being deteriorated.
  • (3) the amount of air touched immediately before the measurement is reduced as much as possible by storing the reel around which the unused film of the measuring unit 210 is wound in a highly confidential space. Thus, it is possible to prevent the deterioration of the reagent.
  • the various DBs are not limited to the storage unit 130 of the server 100 as a storage destination, and may be the storage unit 250 of the measurement device 200 or the storage unit 330 of the user terminal 300. Further, it goes without saying that the data configuration may be changed as appropriate according to the functional configuration of the server 100, processing contents, and the like.
  • the toilet information DB is a DB for storing information related to the toilet.
  • a toilet model number for storing information related to the toilet.
  • water amount water level, mass, volume, etc.
  • water temperature water temperature information of the stored water
  • washed It includes information such as presence / absence, installation location (latitude / longitude information, address, building name, etc.), use start time (toilet use start time), and the like.
  • the toilet information DB may be configured to include information (not shown) regarding the toilet environment, such as amount information of the detergent or the like, or component information of the detergent or the like.
  • the toilet information DB holds a record for each toilet.
  • Information associated with the toilet model number (for example, toilet bowl shape information, toilet water volume information, etc.) may be stored in the DB, or may be stored in the DB without using a network system such as the Internet. You may search and acquire.
  • the threshold value DB is a DB that stores a threshold value that is a criterion for determining whether the measurement result is positive or negative, normal or abnormal.
  • the threshold value (absolute) for each measurement item and measurement item absolute information as an absolute index for each measurement item
  • threshold values for each measurement item (for each user) reference values as a personalized index for each user for each measurement item
  • the measurement / inspection result DB is a DB that stores measurement results and inspection results for each user.
  • a user ID user identification information
  • measurement items measurement values
  • inspection items inspection results
  • inspection results (Analysis result, estimation result)
  • measurement date and time year / month / day, hour / minute / second
  • inspection date / time year / month / day, hour / minute / second
  • the dictionary data DB is a DB that stores dictionary data, and includes, for example, information such as measurement values, inspection results (analysis results, estimation results), and the like.
  • the dictionary data DB identifies feature vectors created from measured values as so-called teacher data in machine learning.
  • the dictionary data stored in the dictionary data DB may be defined and stored in a setting file. If the setting file is used, it is considered that the dictionary data reading and updating processing speed is improved as compared to using the DB.
  • the user DB is a DB that stores information for uniquely identifying a user.
  • a user ID alphanumeric information uniquely assigned
  • a user's name a user's name
  • gender a user's name
  • height a user's name
  • It includes information such as body weight, mass information measured by the measuring device 200, toilet ID of one or more toilets associated with the user.
  • the data structure of various DBs has been described above.
  • FIG. 10 is a data conceptual diagram showing the association.
  • the albumin component in urination is used as input information, and the color development of the film reacted with the reagent or the like is measured by the input information using the immunochromatography method using the immunochromatography method.
  • the albumin concentration is analyzed, and it is determined whether or not the corresponding threshold value is exceeded for the analysis result. Based on the determination result, the user estimates whether diabetes is positive or negative.
  • FIG. 9 is a flowchart illustrating an example of processing executed by the health monitoring system 500.
  • the storage unit 130 stores the bowl bowl shape information, the amount of stored water information, and the temperature information of the stored water as an initial setting or every time measurement is performed (step S11).
  • the user identification unit 220 identifies the user using the IC card, the user terminal 300, etc. (step S12).
  • the measurement part 212 may once measure the water temperature of a stored water (not shown).
  • the illuminance sensor unit 213 measures the illuminance on the film surface (step S13).
  • the measurement unit 210 starts each measurement when it is transmitted from the user that the measurement start is input manually by the input means provided in the control unit 230 (step S14). Note that this step can be omitted when the electrode unit 211, the imaging unit 212, and the temperature measurement unit 214 automatically start measurement.
  • the temperature measurement unit 214 measures the temperature of the stored water or urine-containing water and generates water temperature information (step S15).
  • the electrode unit 211 measures the potential difference between the electrodes and generates voltage information (step S16).
  • the photographing unit 212 sends out the film so that the sample pad portion of the film is immersed in the urine-containing water, and photographs the RGB luminance signals of the test line and the control line by photographing means such as a camera. (Step S17).
  • the temperature measuring unit 214 automatically ends the measurement when the temperature to be measured reaches a certain threshold value, and the electrode unit 211 automatically terminates the measurement when the potential difference to be measured reaches a certain threshold value. (Step S18).
  • the analysis unit 121 analyzes (calculates) the urine volume by analyzing the sputum fluid using the fluid model obtained by modeling the fluid flowing around the measurement unit 210 based on the shape information, the water amount information, the water temperature information, and the like. (Step S19).
  • the correction unit 122 calculates the dilution degree based on the analyzed urine volume information and the water volume information, and the voltage information based on the dilution degree. Is corrected (step S21).
  • the analysis unit 123 analyzes the urine component based on the voltage information (after correction) (step S22).
  • the correction unit 122 calculates the dilution level based on the analyzed urine volume information and the water volume information, and the imaging is performed based on the dilution level.
  • the information is corrected (step S23).
  • the correction unit 122 may correct the shooting information based on the illuminance information in addition to the dilution level.
  • the analysis unit 123 analyzes the urine component based on the imaging information (after correction) (step S24).
  • the analysis unit 123 creates a feature vector based on the analysis result, and identifies the created feature vector based on training data (dictionary data) (step S25).
  • the estimation unit 124 estimates a user's disease based on the analyzed urination information (for example, analyzed urine component) (step S26).
  • Example 1 Hereinafter, the present invention will be described more specifically with reference to examples. However, the present invention is not limited to these examples.
  • the system specifications and test conditions are as follows.
  • thermometer Measurement of temperature of stored water and urine-containing water
  • temperature measurement was performed by a resistance method (thermistor).
  • thermoistor Measurement of potential difference
  • the potential difference of the current flowing between the electrodes immersed in urine-containing water was measured using the electrode method.
  • Calculation of urine volume In the health monitoring system according to the present embodiment, the urine volume was calculated based on the measured temperature of the stored water and urine-containing water using the regression equation of the above formula (1). . In the calculation, in this example, the temperature of urine was set at 38 [° C.].
  • the experimental method performed in the present example is as follows.
  • artificial urine was used to prepare a test sample.
  • Table 1-1 and Table 1-2 64 types of artificial urine flow rate, urine volume, and pH value (hydrogen ion concentration (the acidity of urine, indicating whether urine is acidic or alkaline))
  • pH value the pH value
  • each reagent is added to the test solution and mixed, and then the test is performed 15 times for each case using an automatic pump in a Western-style toilet equipped with the health monitoring system of this example.
  • the solution was dropped and the pH value was analyzed by the health monitoring system of this embodiment.
  • FIG. 11 is a diagram illustrating an example of experimental results.
  • the horizontal axis is the adjusted pH value in artificial urine
  • the vertical axis is the measured value of the urine pH value measured by the health monitoring system according to the present invention. All units are [pH]. From the graph, it can be seen that the adjusted value and the measured value show linear characteristics, and the pH value is correctly calculated. As an approximate value, it was 97.49 [%]. From the experimental results, the effectiveness of the urine component analysis method of the present embodiment was proved.
  • Example 2 As an example different from the first embodiment, the present invention will be described more specifically with reference to the following examples. However, the present invention is not limited to these examples.
  • the system specifications and test conditions are as follows. (1) Measurement of temperature of stored water and urine-containing water In the health monitoring system according to the present example, temperature measurement was performed by a resistance method (thermistor). (2) Photographing of color reaction In the health monitoring system according to the present example, the reagent placed on the film is subjected to a color reaction to albumin in urine using an immunochromatography method, and the reaction condition is expressed as an RGB value of color development.
  • the urine volume was calculated based on the measured temperature of the stored water and urine-containing water using the regression equation of the above formula (1). . In the calculation, in this example, the temperature of urine was set at 38 [° C.].
  • Correction of photographing information based on degree of dilution In the health monitoring system according to the present embodiment, the RGB values read in (2) above were corrected based on the urine volume calculated in (3) above.
  • Analysis of albumin concentration In the health monitoring system according to the present embodiment, the albumin concentration in urine was analyzed based on the RGB values corrected in (4) above.
  • the experimental method performed in the present example is as follows.
  • artificial urine was used to prepare a test sample.
  • reagents are added to the test solution and mixed to create 64 combinations (cases) of urine flow rate, urine volume, and albumin concentration (mg / L).
  • the test solution was dropped twice in each case using an automatic pump in a Western-style toilet equipped with the health monitoring system of this example, and the albumin concentration was analyzed by the health monitoring system of this example.
  • FIG. 12 is a diagram illustrating an example of experimental results.
  • the horizontal axis represents the adjusted albumin concentration in the artificial urine
  • the vertical axis represents the measured value of the urine albumin concentration measured by the health monitoring system according to the present invention. All units are [mg / L]. From the graph, it can be seen that the adjusted value and the measured value show linear characteristics, and the albumin concentration is correctly calculated. As an approximate value, it was 97.01 [%]. From the experimental results, the effectiveness of the urine component analysis method of the present embodiment was proved.
  • the user identifying unit 220 may identify and analyze the user.
  • the user identification unit 220 performs wireless communication with the user terminal 300 to perform user identification.
  • one toilet may be provided in one private room so as to be installed in each house, or a plurality of toilets may be provided adjacent to each other as shown in FIG.
  • FIG. 13 an example in which the toilet 1300a, the toilet 1300b, and the toilet 1300c are provided in adjacent private rooms is illustrated.
  • Each toilet 1300a, 1300b, 1300c is provided with a user identification unit 220a, 220b, 220c, and a corresponding measurement unit 221 is installed in each toilet although not shown.
  • the user identifying unit 220 periodically transmits a beacon signal.
  • the user terminal 300 that has received the beacon signal transmits a response signal including a user ID indicating the corresponding user information.
  • the user identification unit 220 identifies the user by receiving the response signal.
  • each user identification unit 220a, 220b, 220c transmits a beacon signal is delivered to the user terminal 300 of the user who has entered the other toilet, and the response signal from the user terminal 300 of the user who has entered the next private room May be received.
  • the reach range of the beacon signal transmitted from the user identification unit 220a is within the range indicated by the dotted line 1302a.
  • the reach range of the beacon signal transmitted from the user identifying unit 220b is within the range indicated by the dotted line 1302b
  • the reach range of the beacon signal transmitted from the user identifying unit 220c is within the range indicated by the dotted line 1302c.
  • the user terminal 300a of the user A may receive not only the beacon signal from the user identification unit 220a but also the beacon signal from the user identification unit 220b and return a response signal.
  • the user terminal 300b of the user B may receive not only the beacon signal from the user identification unit 220b but also the beacon signal from the user identification unit 220a. Then, the user terminal 300b transmits a response signal to the user identification unit 220a and the user identification unit 220b. Therefore, the user identification part 220a may recognize that the user A and the user B are the users who are using the toilet 1300a. Similarly, the user identification unit 220b may be recognized by the user A and the user B as users who are using the toilet 1300b.
  • FIG. 14 is a block diagram illustrating a configuration example of the health monitoring system according to the third embodiment.
  • the user identification unit 220 includes a sensor unit 222.
  • the operation of the control unit 230 also differs.
  • the user identification unit 220 includes the sensor unit 222. However, this may be provided in a place other than the user identification unit 220, and the information sensed by the sensor unit 222 is the user identification unit. What is necessary is just to be able to implement
  • the health monitoring system is held by a detection unit (sensor unit 222) that detects that a user has entered a predetermined range from the toilet and a user that exists within the predetermined range from the toilet.
  • An acquisition unit (user identification unit 221) for periodically acquiring user information for identifying a user by performing wireless communication with a communication device, and a specifying unit (user) for identifying the user based on the user information
  • An identification unit 221) for a measurement unit (electrode unit 211) for measuring the urine of the toilet user or the accumulated water into which urination flows, and analyzing the urine component of the user based on the potential measured by the measurement unit
  • An analysis unit (121) that generates urination information and an estimation unit (124) that estimates a user's disease based on the urination information.
  • the specifying unit (user identification unit 220) specifies the user based on the action of the user.
  • the main configuration according to the third embodiment will be described, and contents that overlap the above-described contents (such as potential measurement and disease estimation) will be omitted.
  • the sensor unit 222 is a sensor having a function of acquiring various types of information in the toilet, and may be composed of one or a plurality of sensors.
  • the sensor unit 222 can be realized by, for example, an ultrasonic sensor, an infrared sensor, a temperature sensor, an optical sensor, or the like.
  • the distance between the ultrasonic sensor and the door can be measured by emitting an ultrasonic wave in the direction of the toilet door using an ultrasonic ray sensor and calculating the time until the reflected wave is detected. it can. Therefore, by storing the distance when the door is closed, it is possible to detect that the door has been opened and closed when the distance detected by the ultrasonic sensor is different from the stored distance. it can.
  • the sensor unit 222 can detect whether or not the user is using the toilet in each toilet.
  • the sensor unit 222 can set a detectable detection range, and may be set appropriately according to the shape of the private room of the toilet. Further, the sensor unit 222 may include a contact sensor that is provided in the door opening / closing unit and can detect opening / closing of the door, or may include a pressure sensor provided in the toilet seat of the toilet.
  • the detection of the opening and closing of the door can detect the user's entry and exit, and the pressure sensor can detect the user's seating on and off the toilet seat. Moreover, it is good also as providing the multiple sensors of the same kind and improving the reliability of the sensing data.
  • the user identification unit 220 has a function of transmitting a beacon signal through the transmission unit 242 as appropriate (for example, every second).
  • the beacon signal is a signal in a predetermined format, and is a signal for requesting user information from the user terminal 300.
  • the user information here is information that can uniquely identify the user holding the user terminal 300, and indicates the above-described user ID.
  • the user identification unit 220 transmits a beacon signal via the transmission unit 242 as appropriate (for example, every second).
  • the beacon signal is a radio signal that can reach a predetermined distance from the user identification 220.
  • the reachable range from the user identification unit 220a is inside the dotted line 1302a.
  • the user identification unit 220 identifies the user by specifying the user's behavior based on the sensing data from the sensor unit 222. For example, when the sensor unit 222 is detecting a user and is recognizing two pieces of user information, if the sensor unit 222 is detecting a user when the user information cannot be recognized, the recognition is performed. The user indicated by the user information of the person who can do can be specified as the user who is currently using the toilet.
  • the teacher data of the sensing data in each state is held from the sensor unit 222 in each situation, the teacher data is compared with the actual sensing data. By doing so, it is possible to specify the user's behavior.
  • the user identification part 220 specifies the user who is using the corresponding toilet from the judgment of those user's actions, and the reception status of the response signal from the user terminal 300.
  • the reception unit 311 of the communication unit 310 has a function of receiving a beacon signal from the user identification unit 220.
  • the receiving unit 311 transmits the received beacon signal to the control unit 320.
  • the control unit 320 When receiving the beacon from the user identification unit 220, the control unit 320 has a function of extracting user information stored in the storage unit 340 of the user terminal 300 and generating a response signal including the extracted user information. The control unit 320 has a function of causing the transmission unit 312 to return the generated response signal to the user identification unit 220 (the device that transmitted the beacon signal).
  • FIG. 15 is a flowchart showing the operation.
  • the reception unit 241 of the measurement apparatus 200 receives the response signal transmitted from the user terminal 300 in response to the beacon signal transmitted from the transmission unit 242 (step S1501).
  • the response signal includes a user ID that uniquely identifies the user holding the user terminal 300.
  • the receiving unit 241 transmits the received response signal to the user identifying unit 221.
  • the user identifying unit 220 uses the corresponding toilet based on the user ID included in the transmitted response signal and the user behavior that can be detected based on the sensing data sequentially transmitted from the sensor unit 222. Is identified (step S1502). Further details of this process will be described later.
  • the user identifying unit 220 identifies the user who is using the toilet, and the measuring unit 210 analyzes the stored water. That is, first, the measurement unit 210 measures stored water (step S1503).
  • the measuring unit 210 measures liquid information from the measurement result of the stored water (step S1504).
  • the measured liquid information is transmitted from the transmission unit 242 together with the specified user information, and is received by the reception unit 111.
  • the receiving unit 111 transmits the received liquid information to the control unit 120.
  • the control unit 120 estimates a user's disease based on the measured liquid information (step S1505).
  • control part 120 transmits the information regarding the estimated disease to the user terminal 300 of the user shown by the user information received with the liquid information from the transmission unit 112, the information regarding the estimated disease (step S1506).
  • the information regarding the disease is received by the receiving unit 311 of the user terminal 300 and displayed on the display unit 330. Therefore, the user can recognize from his / her urination a disease that he / she may have.
  • the server 100 After transmitting information on the estimated disease, the server 100 stores the information in the storage unit 130 in association with the user ID of the corresponding user.
  • the storage may also be performed in the storage unit 340.
  • the information regarding the disease estimated with respect to the user can be memorize
  • FIG. 16 is a flowchart illustrating an example of processing related to user identification by the user identification unit 220.
  • the user identification unit 220 is periodically (for example, every second) addressed to a device (user terminal 300) existing within a predetermined range from the own device, and the user holding the device.
  • a beacon signal for requesting information is transmitted from the transmission unit 242 (step S1601). It is assumed that the beacon signal is periodically transmitted even during the subsequent processing, and the transmission of the beacon signal is omitted in the following.
  • the receiving unit 241 determines whether or not a response signal to the beacon signal transmitted periodically is received (step S1602). If no response signal has been received (NO in step S1602), the process returns to step S1601.
  • the user identification unit 220 extracts a user information included in the response signal, thereby identifying a user who may use the toilet.
  • the user identification unit 220 determines whether or not the user has entered the private room where the corresponding toilet is installed and is using it (step S1603). .
  • the measuring apparatus 200 measures the accumulated water including the user's urination and acquires the liquid information. Then, the liquid information is transmitted from the transmission unit 242 to the server 100, whereby the server 100 executes a process of estimating the user's disease (step S1604).
  • the disease information estimated from the server 100 is transmitted to the user terminal 300 via the transmission unit 112 (step S1605).
  • the information of the estimated disease is displayed, and the user can recognize the possibility of his own disease.
  • the measurement device 200 receives the signal.
  • the unit 241 determines whether or not it has received a response signal for the beacon signal that is periodically transmitted (step S1606).
  • the response signal is not received (YES in step S1606), the user indicated by the response signal determines that the corresponding toilet is not used, and the process of step S1601 is performed without performing the disease estimation process.
  • the receiving unit 241 determines whether or not a new response signal has been received (step S1607).
  • the new response signal here refers to a response signal including a user ID different from the user ID included in the already received response signal. If a new response signal has not been received (NO in step S1607), the process returns to step S1606. If a new response signal has been received (YES in step S1607), the user identification unit 220 determines whether the user is using the toilet based on the sensing data from the sensor unit 222 ( Step S1608).
  • step S1608 If it is determined that the user is not using the toilet based on the sensing data from the sensor unit 222 (NO in step S1608), the process returns to step S1606.
  • the user identifying unit 220 is configured so that the user who uses the toilet is not confused when the user who uses the toilet is specified.
  • the user can be identified based on the behavior information. Therefore, when the user is confirmed by radio, response signals from a plurality of users are received, and upon recognition, the measurement information (information on disease estimation) is erroneously detected for the user terminal of the wrong user. Can be greatly reduced.
  • the user identification part 220 is supposed to transmit a beacon signal regularly, this is not the limitation. For example, transmission of a beacon signal is started at the timing when the sensor 222 of the user identification unit 220 detects the user. And it is good also as a structure which stops transmission of a beacon signal at the timing when the sensor part 222 stops detecting a user. According to the configuration, although the user identification may be slightly delayed from the configuration shown in the third embodiment, it is possible to realize power saving of the user identification unit 220 as compared with the configuration shown in the third embodiment.
  • the user identification unit 220 does not disclose a configuration for communicating with other user identification units 220, but the user identification unit 220 can communicate with other user identification units 220. It may be configured. And the user identification part 220 may transmit the information to another user identification part, when user information is received. At this time, the sensing data that can be detected by the sensor unit 222 may also be transmitted to another user identification unit. Thereby, the specific accuracy of the user can be further improved by using the information identified by the other user identifying unit.
  • the user identification unit 220a receives a response signal from the user terminal 300a and cannot identify the user based on the sensing data from the sensor unit 220a, and the user identification unit 220b It is assumed that the response signal from 300a is received and the user can be identified based on the sensing data from the sensor unit 220b. At this time, the user identification unit 220a receives information indicating that the response signal from the user terminal 300a is received from the user identification unit 220b and that the user can be identified, and thereby the user identification unit 220a The accuracy with which it can be estimated that the user holding the user terminal 300a is not using the toilet corresponding to 220a can be improved.
  • the health monitoring system according to the present invention can be used as part of telemedicine in conjunction with a medical institution or the like.
  • the user DB stored in the storage unit 130 stores information on medical institutions, doctors, and the like related to each user, and the measurement values and test result data of the DB are updated when the measurement / test result DB is updated.
  • doctors and the like can remotely perform health examinations, guidance, and the like based on the transmitted data.
  • the health monitoring system according to the present invention is similarly used by a doctor, a pharmacist, a pharmaceutical company, etc. to remotely monitor medication (whether the prescribed drug is applied) or check drug metabolism (check whether the prescribed drug is effective).
  • the health monitoring system according to the present invention in cooperation with the system of a pharmaceutical company or health insurance association, generates time-series vital data generated from measurement / test result information stored in the storage unit 130 of the health monitoring system according to the present invention. It can also be used for data marketing business.
  • vital data can also be used to simulate how healthcare costs can be reduced in conjunction with insurance company and health insurance association systems.
  • the generated vital data with daily life logs recorded by wearable devices linked to the health monitoring system, it can be used for services that provide more specific health and beauty advice.
  • it can be used for modeling what kind of health a person will live in.
  • the extracted nutrient is displayed on the display unit 330 of the user terminal 300, and a meal menu (ingested based on the extracted nutrient is also displayed.
  • Food ingredients such as vegetables to be included
  • supplements may be displayed on the display unit 330 of the user terminal 300 and suggested.
  • vital data can be classified into types, and supplements for supplementing nutrients that are deficient in the body can be proposed for each type.
  • the service can be applied not only to general households and individuals but also to health management such as athletes.
  • personalized cosmetics can be proposed especially to users who are expected to have problems with their skin and hair.
  • the health monitoring system according to the present invention can be used for modeling, for example, what kind of genome human beings live in what kind of health state by linking genome analysis results in addition to vital data and life logs. it can.
  • modeling information provides insurance companies with information on their health condition predicted by the modeling, and the insurance companies, etc. as information when considering and determining enrollment and insurance premiums based on the forecast information Can be used.
  • Each functional unit of the server 100, the measuring apparatus 200, and the user terminal 300 is realized by a logic circuit (hardware) or a dedicated circuit formed in an integrated circuit (IC (Integrated Circuit) chip, LSI (Large Scale Integration)) or the like. Alternatively, it may be realized by software using a CPU (Central Processing Unit) and a memory. Each functional unit may be realized by one or a plurality of integrated circuits, and the functions of the plurality of functional units may be realized by a single integrated circuit.
  • An LSI may be called a VLSI, a super LSI, an ultra LSI, or the like depending on the degree of integration.
  • the “circuit” may include the meaning of digital processing by a computer, that is, functional processing by software.
  • the circuit may be realized by a reconfigurable circuit (for example, FPGA: Field Programmable Gate Gate Array).
  • the function units of the server 100, the measurement device 200, and the user terminal 300 are realized by software
  • the function units of the server 100, the measurement device 200, or the user terminal 300 are included in a display information generation program that is software that realizes each function.
  • CPU for executing instructions, health monitoring program and ROM (Read Only Memory) in which various data are recorded so as to be readable by a computer (or CPU) or storage device (these are referred to as “recording medium”), health monitoring program RAM (Random Access Memory) is available.
  • the computer or CPU reads the health monitoring program from the recording medium and executes it to achieve the object of the present invention.
  • a “non-temporary tangible medium” such as a tape, a disk, a card, a semiconductor memory, a programmable logic circuit, or the like can be used.
  • the health monitoring program may be supplied to the computer via any transmission medium (such as a communication network or a broadcast wave) that can transmit the health monitoring program.
  • the present invention can also be realized in the form of a data signal embedded in a carrier wave, in which the health monitoring program is embodied by electronic transmission.
  • the health monitoring program can be implemented using, for example, a script language such as ActionScript or JavaScript (registered trademark), an object-oriented programming language such as Objective-C or Java (registered trademark), or a markup language such as HTML5. .
  • a script language such as ActionScript or JavaScript (registered trademark)
  • an object-oriented programming language such as Objective-C or Java (registered trademark)
  • a markup language such as HTML5.
  • Measuring Device 100 Server 110 Communication Unit 120 Control Unit 130 Storage Unit 200 Measuring Device 210 Measuring Unit (Measuring Device) 220 User identification unit (measuring device) 221 Measuring unit 222 Sensor unit 230 Control unit (measuring device) 240 Communication unit (measuring device) 250 Storage unit (measuring device) 300 user terminal 310 communication unit (user terminal) 320 Control unit (user terminal) 330 Display unit (user terminal) 340 storage unit (user terminal)

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Abstract

A health monitoring system comprises: a detection unit that detects that a user has entered a predetermined range from a toilet bowl; an acquisition unit that performs wireless communication with a communication device held by the user present within the predetermined range from the toilet bowl, and periodically acquires user information for identifying the user; a specifying unit that specifies the user on the basis of the user information; a measuring unit that measures an electric potential of urine of the user of the toilet bowl or pooled water into which the urine has flowed; an analyzing unit that analyzes the urine component of the user on the basis of the electric potential measured by the measuring unit to generate urination information; and an estimation unit that estimates the disease of the user on the basis of the urination information.

Description

健康モニタリングシステム、健康モニタリング方法および健康モニタリングプログラムHealth monitoring system, health monitoring method and health monitoring program
 本発明は、健康モニタリングシステム、健康モニタリング方法および健康モニタリングプログラムに関し、特に便器に設置して排尿を解析し、疾病を推測する健康モニタリングシステム、健康モニタリング方法および健康モニタリングプログラムに関する。 The present invention relates to a health monitoring system, a health monitoring method, and a health monitoring program, and more particularly to a health monitoring system, a health monitoring method, and a health monitoring program that are installed in a toilet and analyze urination to estimate a disease.
 近年の健康志向の高まりを受けて、従来から、尿の状態(量や成分)を分析して健康状態をモニタリングし、アドバイスするサービスが多く存在する。身体の異常がある場合は、尿の状態も変化しやすく、身体の異常を発見するには、尿の状態を日頃からモニタリングをすることが効果的である。 In response to the recent increase in health-consciousness, there have been many services that analyze and monitor the state of urine (amount and components) and provide advice. When there is a physical abnormality, the urine state is likely to change, and it is effective to monitor the urine state on a daily basis to detect a physical abnormality.
 このような尿の分析技術として、例えば、特許文献1には、実測された人の1回の尿中における特定成分の濃度と、実測された1日の全尿中における特定成分の濃度との間の相関関係を表すデータを記憶しており、当該相関関係を用いて被測定者の1日の全尿中における特定成分の濃度を換算して求めること、当該求めた濃度より被測定者の1日の全尿中における特定成分の排泄量を算出する排尿情報測定装置が開示されている。 As such a urine analysis technique, for example, Patent Document 1 discloses that the concentration of a specific component in one urine of a human being measured and the concentration of the specific component in the whole urine of one day measured. The data representing the correlation between the data is stored, and using the correlation, the concentration of the specific component in the whole urine of the subject is calculated and obtained, and the subject's concentration is calculated from the obtained concentration. A urination information measuring device for calculating the amount of excretion of a specific component in the whole urine of a day is disclosed.
 また、特許文献2には、尿を貯える便器のボウルと、当該ボウルに蓄えられた尿の体積や重量を計測する尿データ計測手段によって、排尿量、尿流率を算出する排尿情報測定装置が開示されている。特許文献2記載の排尿測定装置は、排尿開始時または排尿終了時の各水位もしくは水位変化率によって排尿量および尿流率を算出し、当該算出したデータに所定の振動モデルを適用してパーティクルフィルタによって処理することによって排尿情報を算出するものであった。 Further, Patent Document 2 discloses a urination information measuring device for calculating urine output and urine flow rate by a bowl of a toilet bowl for storing urine and urine data measuring means for measuring the volume and weight of urine stored in the bowl. It is disclosed. The urination measuring device described in Patent Document 2 calculates a urination amount and a urine flow rate based on each water level or a water level change rate at the start of urination or at the end of urination, and applies a predetermined vibration model to the calculated data. The urination information is calculated by processing according to the above.
特開2013-36817号公報JP 2013-36817 A 特開2013-90748号公報JP 2013-90748 A
 しかしながら、特許文献1記載の発明では、大きく筐体とセンサ部から構成され、被測定者等の手で筐体を把持してセンサ部に被測定者が排泄した尿を振りかけなければならず、使い勝手が必ずしも十分ではなかった。 However, in the invention described in Patent Document 1, it is largely composed of a housing and a sensor unit, and the housing must be sprinkled with the urine excreted by the subject to be measured by holding the housing with the hand of the subject. Convenience was not always sufficient.
 また、特許文献2記載の発明においても、便器のボウルに蓄えられた尿の体積や重量を計測する手段として、ボウル内の溜水の水位データを用いていたり、下水配管の下水圧測定を用いていたりと便器を構成する要素を使用しているため、既設の便器への適用が不可能であった。したがって、特許文献2に記載の排尿情報測定装置においては、汎用性に乏しく、使い勝手が必ずしも十分ではなかった。 Also in the invention described in Patent Document 2, as means for measuring the volume and weight of urine stored in the bowl of the toilet bowl, the water level data of the stored water in the bowl is used, or the sewage pressure measurement of the sewage pipe is used. Because it uses the elements that make up a toilet, it could not be applied to existing toilets. Therefore, in the urination information measuring device described in Patent Document 2, the versatility is poor and the usability is not always sufficient.
 そこで、本発明は、尿成分分析等の排尿の解析および当該解析結果に基づく疾病の推測にあたって、簡易的で使い勝手の良い健康モニタリングシステム、健康モニタリング方法および健康モニタリングプログラムを提供することを目的とする。 Therefore, the present invention has an object to provide a simple and easy-to-use health monitoring system, health monitoring method, and health monitoring program for analyzing urination such as urine component analysis and estimating a disease based on the analysis result. .
 本発明に係る健康モニタリングシステムは、便器から所定範囲内に使用者が進入したことを検知する検知部と、便器から所定範囲内に存在する使用者が保持する通信機器と無線通信を行って、使用者を識別するための使用者情報を定期的に取得する取得部と、使用者情報に基づいて使用者を特定する特定部と、便器の使用者の排尿または排尿が流れ込んだ溜水の電位を測定する測定部と、測定部が測定した電位に基づいて使用者の尿成分を解析して排尿情報を生成する解析部と、排尿情報に基づいて、使用者の疾病を推測する推測部と、を備える。 The health monitoring system according to the present invention performs wireless communication with a detection unit that detects that a user has entered a predetermined range from the toilet and a communication device that is held by the user that is within the predetermined range from the toilet, An acquisition unit that periodically acquires user information for identifying the user, a specific unit that identifies the user based on the user information, and the potential of the urinary or urination of the toilet user A measurement unit that measures urine components based on the potential measured by the measurement unit and generates urination information, and an estimation unit that estimates a user's disease based on urination information .
 さらに、本発明に係る健康モニタリングシステムは、特定部は、更に、使用者の行動に基づいて、使用者を特定することとしてもよい。 Furthermore, in the health monitoring system according to the present invention, the specifying unit may further specify the user based on the user's behavior.
 さらに、本発明に係る健康モニタリングシステムは、特定部は、使用者が便器が設置されている個室に進入してから、退出するまでの行動に基づいて、当該使用者を特定することとしてもよい。 Furthermore, the health monitoring system according to the present invention may be configured such that the specifying unit specifies the user based on the behavior from when the user enters the private room where the toilet is installed to when the user exits. .
 さらに、本発明に係る健康モニタリングシステムは、取得部は、定期的に特定部は、検知部が使用者が所定範囲内に進入したことを検知してから、使用者を検知しなくなるまでの間に、取得部が取得し続けていた使用者情報に対応する使用者を、便器の使用者として特定することとしてもよい。 Furthermore, in the health monitoring system according to the present invention, the acquisition unit, the specific unit periodically, until the detection unit detects that the user has entered the predetermined range, and until the user is not detected. Alternatively, the user corresponding to the user information that has been acquired by the acquisition unit may be specified as the user of the toilet.
 さらに、本発明に係る健康モニタリングシステムは、検知部は、使用者が便座に着座したことを検知する圧力センサを含み、特定部は、圧力センサが使用者が前座に着座していることを検知している間に、取得部が取得し続けていた使用者情報に対応する使用者を、便器の使用者として特定することとしてもよい。 Furthermore, in the health monitoring system according to the present invention, the detection unit includes a pressure sensor that detects that the user is seated on the toilet seat, and the specifying unit detects that the user is seated on the front seat. During this time, the user corresponding to the user information that the acquisition unit has continuously acquired may be specified as the user of the toilet bowl.
 さらに、本発明に係る健康モニタリングシステムは、検知部は、便器が設置されている個室に対して設けられる扉の開閉を検知する開閉検知センサを含み、特定部は、開閉検知センサが扉の開閉を2度検知している間に、取得部が取得し続けていた使用者情報に対応する使用者を、便器の使用者として特定することとしてもよい。 Furthermore, in the health monitoring system according to the present invention, the detection unit includes an open / close detection sensor for detecting opening / closing of a door provided for a private room in which the toilet is installed, and the specific unit includes an open / close detection sensor for opening / closing the door. It is good also as specifying the user corresponding to the user information which the acquisition part continued acquiring while detecting twice as a user of a toilet bowl.
 さらに、本発明に係る健康モニタリングシステムは、更に、使用者毎に、当該使用者が便器が設置されている個室に進入してから、退出するまでの行動内容を示す行動情報を記憶する記憶部を備え、特定部は、使用者が便器が設置されている個室に進入してから、退出するまでの行動と、記憶部に示される行動情報とを比較することで、当該使用者を特定することとしてもよい。 Furthermore, the health monitoring system according to the present invention further stores, for each user, behavior information indicating the behavior content from when the user enters the private room where the toilet is installed until the user exits. The identifying unit identifies the user by comparing the behavior from when the user enters the private room where the toilet is installed to when the user exits, with the behavior information indicated in the storage unit. It is good as well.
 さらに、本発明に係る健康モニタリングシステムにおいて、特定部は、使用者が便器が設置されている個室に進入してから、退出するまでの行動と、当該便器が設置されている個室に隣接する他の個室に設置されている便器を使用する他の使用者の行動とに基づいて、使用者を特定することとしてもよい。 Furthermore, in the health monitoring system according to the present invention, the specific unit includes a behavior from when the user enters the private room where the toilet is installed to when the user exits, and other actions adjacent to the private room where the toilet is installed. The user may be specified based on the behavior of another user who uses the toilet installed in the private room.
 さらに、本発明に係る健康モニタリングシステムは、さらに、記憶部に、使用者毎に、少なくとも液体情報、排尿情報、疾病のうちいずれか一つを対応付けて登録する登録部を備えることとしてもよい。 Furthermore, the health monitoring system according to the present invention may further include a registration unit that registers at least one of liquid information, urination information, and disease for each user in the storage unit. .
 本発明に係る健康モニタリングシステム方法は、便器から所定範囲内に使用者が進入したことを検知する検知ステップと、便器から所定範囲内に存在する使用者が保持する通信機器と無線通信を行って、使用者を識別するための使用者情報を定期的に取得する取得ステップと、使用者情報に基づいて使用者を特定する特定ステップと、便器の使用者の排尿または排尿が流れ込んだ溜水の電位を測定する測定ステップと、測定ステップにおいて測定した電位に基づいて使用者の尿成分を解析して排尿情報を生成する解析ステップと、排尿情報に基づいて、使用者の疾病を推測する推測ステップと、とを含む。 The health monitoring system method according to the present invention includes a detection step of detecting that a user has entered a predetermined range from the toilet, and wireless communication with a communication device held by the user existing within the predetermined range from the toilet. , An acquisition step for periodically acquiring user information for identifying the user, a specific step for identifying the user based on the user information, and urination or urination of the toilet user A measurement step for measuring potential, an analysis step for generating urination information by analyzing a user's urine component based on the potential measured in the measurement step, and an estimation step for estimating a user's disease based on the urination information And.
 本発明に係る健康モニタリングプログラムは、コンピュータに、便器から所定範囲内に使用者が進入したことを検知する検知機能と、便器から所定範囲内に存在する使用者が保持する通信機器と無線通信を行って、使用者を識別するための使用者情報を定期的に取得する取得機能と、使用者情報に基づいて使用者を特定する特定機能と、便器の使用者の排尿または排尿が流れ込んだ溜水の電位を測定する測定機能と、測定機能が測定した電位に基づいて使用者の尿成分を解析して排尿情報を生成する解析機能と、排尿情報に基づいて、使用者の疾病を推測する推測機能と、を実現させる。 The health monitoring program according to the present invention provides a computer with a detection function for detecting that a user has entered a predetermined range from the toilet, and a wireless communication with a communication device held by the user existing within the predetermined range from the toilet. To acquire user information to identify the user periodically, a specific function to identify the user based on the user information, and a urination or urination of the toilet user A measurement function that measures the potential of water, an analysis function that analyzes the user's urine components based on the potential measured by the measurement function, and generates urination information, and predicts the user's disease based on the urination information A guess function is realized.
 本発明に係る健康モニタリングシステム、健康モニタリング方法および健康モニタリングプログラムは、便器の使用者の排尿が流れ込んだ溜水中の流体に関する流体情報を測定する測定部と、流体情報に基づいて、流体が流れる領域をモデル化した流体モデルを解析することで排尿を解析する解析部と、排尿の排尿情報に基づいて、使用者の疾病を推測する推測部とを備えるものである。
 これらの構成により、尿成分の測定にあたって、既設の便器に本発明に係る健康モニタリングシステムを設置するだけで、被測定者は通常どおり排泄するだけで尿成分を測定できるため、装置に排尿を振りかけることにより測定するよりも簡易的に、また、衛生的に測定することができ、使い勝手を向上できる。
 また、本発明に係る健康モニタリングシステム、健康モニタリング方法および健康モニタリングプログラムは、流体シミュレーションにより流体の動きを解析して尿量を解析しているため、排尿が溜水によりどの程度希釈されたかを考慮することができ、精度よく分析することができる。
A health monitoring system, a health monitoring method, and a health monitoring program according to the present invention include a measuring unit that measures fluid information related to fluid in the stored water into which urination of a toilet user flows, and a region where the fluid flows based on the fluid information. The analysis part which analyzes urination by analyzing the fluid model which modeled this, and the estimation part which estimates a user's disease based on the urination information of urination are provided.
With these configurations, the urine component can be measured simply by installing the health monitoring system according to the present invention in the existing toilet bowl, and the subject can measure the urine component simply by excreting as usual. Therefore, the measurement can be performed more simply and hygienically than the measurement, and the usability can be improved.
In addition, since the health monitoring system, health monitoring method, and health monitoring program according to the present invention analyze fluid movement by fluid simulation and analyze urine volume, it takes into account how much urination is diluted by stored water. Can be analyzed accurately.
 本発明に係る健康モニタリングシステム、健康モニタリング方法および健康モニタリングプログラムは、排尿情報の解析および疾病の推測にあたって、簡易性および使い勝手を向上できる。 The health monitoring system, health monitoring method, and health monitoring program according to the present invention can improve simplicity and convenience in analyzing urination information and inferring diseases.
健康モニタリングシステム構成の一例を示すシステム図である。It is a system diagram showing an example of a health monitoring system configuration. 健康モニタリングシステム500の実施形態の構成の一例を示すブロック図である。It is a block diagram which shows an example of a structure of embodiment of the health monitoring system. 健康モニタリングシステム500の実施形態の概観の一例を模式的に示す図である。1 is a diagram schematically illustrating an example of an overview of an embodiment of a health monitoring system 500. FIG. 健康モニタリングシステム500の測定装置200の概観の一例を模式的に示す図である。It is a figure which shows typically an example of the general appearance of the measuring apparatus 200 of the health monitoring system 500. 実施形態1に係る測定装置200を構成する測定部210の内部構造の一例を模式的に示す図である。It is a figure which shows typically an example of the internal structure of the measurement part 210 which comprises the measuring apparatus 200 which concerns on Embodiment 1. FIG. 実施形態2に係る測定装置200を構成する測定部210の内部構造の一例を模式的に示す図である。It is a figure which shows typically an example of the internal structure of the measurement part 210 which comprises the measuring apparatus 200 which concerns on Embodiment 2. FIG. 撮影部212を構成するフィルムと試薬の構成の一例を模式的に示す図である。It is a figure which shows typically an example of a structure of the film and reagent which comprise the imaging | photography part 212. FIG. 健康モニタリングシステム500が記憶するデータのデータベースのデータ構成例を示すデータ概念図である。It is a data conceptual diagram which shows the data structural example of the database of the data which the health monitoring system 500 memorize | stores. 健康モニタリングシステム500が実行する処理の一例を示すフローチャートである。It is a flowchart which shows an example of the process which the health monitoring system 500 performs. 健康モニタリングシステム500の測定・分析結果と疾病などの情報の対応付けのデータ構成の例を示すデータ概念図である。It is a data conceptual diagram which shows the example of a data structure of matching of the measurement / analysis result of the health monitoring system 500, and information, such as a disease. 健康モニタリングシステム500の実施例1における実験結果の説明図である。It is explanatory drawing of the experimental result in Example 1 of the health monitoring system. 健康モニタリングシステム500の実施例2における実験結果の説明図である。It is explanatory drawing of the experimental result in Example 2 of the health monitoring system. トイレの見取り図の一例である。It is an example of the sketch of a toilet. 実施形態3に係る健康モニタリングシステムの構成の一例を示すブロック図である。It is a block diagram which shows an example of a structure of the health monitoring system which concerns on Embodiment 3. FIG. 実施形態3に係る健康モニタリングシステムの動作を示すフローチャートである。10 is a flowchart illustrating an operation of the health monitoring system according to the third embodiment. 実施形態3に係る健康モニタリングシステムの他の動作例の詳細を示すフローチャートである。12 is a flowchart illustrating details of another operation example of the health monitoring system according to the third embodiment.
 以下、本発明の一実施態様について、図面を参照しながら説明する。
<実施形態1>
<概要>
 図1は、本発明に係る健康モニタリングシステム構成の例を示すシステム図である。
Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
<Embodiment 1>
<Overview>
FIG. 1 is a system diagram showing an example of a health monitoring system configuration according to the present invention.
 図1に示すように、当該システムは、サーバ100、測定装置200、ユーザ端末300を含む。サーバ100は、ネットワーク400を介して測定装置200およびユーザ端末300を接続される。なお、図1において、説明を簡単にするためにサーバ100、測定装置200およびユーザ端末300は各々1台だけ示してあるが、これ以上存在してもよいことは言うまでもない。また、ユーザ端末300の具体的な機器は、図示のように、スマートフォンに限定されず、例えば、携帯端末、タブレット端末、パーソナルコンピュータ、その他の電子機器であってもよい。さらに、当該システムは、クラウドサービス(パブリッククラウド、プライベートクラウドいずれも含む)を用いてもよいし、対象の施設内に物理的に共用または専用サーバを設けてサービスを提供してもよい。 As shown in FIG. 1, the system includes a server 100, a measuring apparatus 200, and a user terminal 300. Server 100 is connected to measurement device 200 and user terminal 300 via network 400. In FIG. 1, only one server 100, one measuring device 200, and one user terminal 300 are shown for simplicity of explanation, but it goes without saying that there may be more than that. In addition, the specific device of the user terminal 300 is not limited to a smartphone as illustrated, and may be a mobile terminal, a tablet terminal, a personal computer, or other electronic devices, for example. Furthermore, the system may use a cloud service (including both public cloud and private cloud), or may provide a service by physically providing a shared or dedicated server in the target facility.
 ユーザ端末300は、本発明の一実施形態による健康モニタリングシステムの一部である健康状態のモニタリング結果(分析結果、推測結果含む)を表示するアプリケーション(以降、「ヘルスモニタリングアプリ」という)を搭載し、図3に示すように、ヘルスモニタリングアプリの表示を閲覧して自身の健康状態をチェックできる。 The user terminal 300 is equipped with an application (hereinafter referred to as a “health monitoring app”) that displays health condition monitoring results (including analysis results and estimation results) that are a part of the health monitoring system according to an embodiment of the present invention. As shown in FIG. 3, it is possible to check the health status of the user by viewing the display of the health monitoring application.
 健康モニタリングシステム500は、一例として、図3に示すように、測定装置200を既設の便器等に設置し、測定装置200において便器の使用者の排尿が流れ込んだ溜水中の流体に関する流体情報を測定し、サーバ100において当該測定された流体情報に基づいて、流体が流れる領域をモデル化した流体モデルを解析することで排尿を解析し、解析された排尿の排尿情報に基づいて、使用者の疾病を推測することができる。これにより、健康モニタリングシステム500は、例えば、自宅または仕事場に居ながら、かつ、使用者は通常の排尿行為を行うだけで疾病の兆候や陽性陰性等を判定することができるため、簡易的で使い勝手がよく、持続可能性の高い健康モニタリングサービスを提供することができる。 As an example, as shown in FIG. 3, the health monitoring system 500 installs a measuring device 200 in an existing toilet or the like, and measures fluid information regarding the fluid in the stored water into which the urine of the user of the toilet flows into the measuring device 200. Then, based on the fluid information measured in the server 100, the urination is analyzed by analyzing a fluid model obtained by modeling the region in which the fluid flows. Based on the urination information of the analyzed urination, the disease of the user Can be guessed. As a result, the health monitoring system 500 is simple and easy to use because, for example, the user can determine signs of illness, positive / negative, etc. by simply performing normal urination while staying at home or at work. Good health monitoring service with good sustainability.
 また、健康モニタリングシステム500は、自宅や仕事場への適用に限定されず、介護施設や病院においても患者の健康管理に利用することもでき、運営側のリスク軽減を図ることもできる。ここで、「排尿情報」とは、使用者の排尿に関する種々の情報をいい、排尿の尿量、尿温、尿成分等を含んで構成してもよい。 Also, the health monitoring system 500 is not limited to application to homes and workplaces, but can be used for patient health management in nursing homes and hospitals, and can reduce risk on the management side. Here, “urination information” refers to various types of information related to urination of the user, and may include urine volume, urine temperature, urine components, and the like.
 なお、本例では、クラウドコンピューティング形式を用いた例を示したが、これに限定されず、例えば、測定装置200単体または測定装置200およびユーザ端末300で健康モニタリングシステム500を構成してもよい。また、本例では、クラウドサービスを用いたサービスの例を示したが、人工知能(例えば、ディープラーニングなどによる機械学習によるもの)を用いたクラウドドクターサービス(例えば、ネットワーク越しに患者の健康状態や体調の診療するサービス)やクラウドマザーサービス(例えば、ネットワーク越しに子供の健康状態や体調のモニタリングするサービス)に用いることもできる。 In this example, although an example using a cloud computing format has been shown, the present invention is not limited to this. For example, the health monitoring system 500 may be configured by the measurement device 200 alone or the measurement device 200 and the user terminal 300. . In addition, in this example, an example of a service using a cloud service is shown. However, a cloud doctor service using artificial intelligence (for example, by machine learning using deep learning or the like) (for example, a patient's health status over a network) It can also be used for a physical condition medical service) and a cloud mother service (for example, a service for monitoring a child's health and physical condition over a network).
<構成>
 以下、サーバ100、測定装置200、ユーザ端末300の構成について説明する。図2は、サーバ100、測定装置200、ユーザ端末300の機能構成の一例を示すブロック図である。なお、各部の配置においては、各機器の動作環境および状況等に応じて、サーバ100、測定装置200、ユーザ端末300間で適宜変更してもよい。例えば、サーバ100の解析部121、補正部122、分析部123、推測部124は測定装置200の制御部230に配置してもよいし、ユーザ端末300の制御部320に配置してもよい。図2に示すように、サーバ100は、通信部110と、制御部120と、記憶部130を含んで構成される。
<Configuration>
Hereinafter, the configuration of the server 100, the measurement apparatus 200, and the user terminal 300 will be described. FIG. 2 is a block diagram illustrating an example of functional configurations of the server 100, the measurement apparatus 200, and the user terminal 300. In addition, in arrangement | positioning of each part, you may change suitably between the server 100, the measuring apparatus 200, and the user terminal 300 according to the operating environment, the condition, etc. of each apparatus. For example, the analysis unit 121, the correction unit 122, the analysis unit 123, and the estimation unit 124 of the server 100 may be arranged in the control unit 230 of the measurement apparatus 200 or may be arranged in the control unit 320 of the user terminal 300. As illustrated in FIG. 2, the server 100 includes a communication unit 110, a control unit 120, and a storage unit 130.
 また、サーバ100は、多段構成とすることができ、例えば、施設内に設置するサーバ(中継サーバ)と、複数の施設を含む特定のエリアまたは全てのエリアを包括するサーバから構成してもよい。中継サーバの送信タイミングとしては、(1)周期的に(例えば、記憶部130のキャパシティ等を考慮して定めた一定時間ごとに)、(2)記憶部250の記憶容量に閾値を設定して当該閾値に達した際などを送信タイミングとしてもよい。 Further, the server 100 can be configured in a multi-stage configuration. For example, the server 100 may be configured by a server (relay server) installed in a facility and a server that includes a specific area including a plurality of facilities or all areas. . As the transmission timing of the relay server, (1) a threshold value is set for the storage capacity of the storage unit 250 (2) periodically (for example, every fixed time determined in consideration of the capacity of the storage unit 130). The timing when the threshold is reached may be used as the transmission timing.
 通信部110は、受信部111および送信部112を備え、ネットワーク400を介して、測定装置200およびユーザ端末300との通信を実行する機能を有する。当該通信は、有線、無線のいずれでもよく、また、互いの通信が実行できるのであれば、どのような通信プロトコルを用いてもよい。 The communication unit 110 includes a reception unit 111 and a transmission unit 112, and has a function of executing communication with the measurement apparatus 200 and the user terminal 300 via the network 400. The communication may be either wired or wireless, and any communication protocol may be used as long as mutual communication can be performed.
 受信部111は、ネットワーク400を介して、制御部120の制御に従って、各測定装置200および各ユーザ端末300から測定データ等を受信し、当該測定データを制御部120に伝達する機能を有する。具体的には、受信部111は、測定装置200から便器のボウル内の溜水および当該溜水に便器の使用者の排尿を含んだ水(以降、「排尿含有水」という)の水温情報、排尿含有水に電極を浸漬して電極間の電位差による電圧情報、使用者を識別するユーザ識別情報、照度情報および撮影部212において試薬が反応したフィルムを撮影した撮影情報(以降、「撮影情報」という)を受信し、制御部120に伝達する。 The receiving unit 111 has a function of receiving measurement data and the like from each measuring device 200 and each user terminal 300 via the network 400 according to the control of the control unit 120 and transmitting the measurement data to the control unit 120. Specifically, the receiver 111 stores the water temperature information of the water in the bowl of the toilet bowl from the measuring device 200 and the water containing the urine of the user of the toilet bowl (hereinafter referred to as “urine-containing water”). Voltage information based on the potential difference between the electrodes by immersing the electrode in urine-containing water, user identification information for identifying the user, illuminance information, and imaging information obtained by imaging the film reacted with the reagent in the imaging unit 212 (hereinafter referred to as “imaging information”) Is transmitted to the control unit 120.
 送信部112は、ネットワーク400を介して、制御部120の制御に従って、各測定装置200に制御データ等および各ユーザ端末300にモニタリング結果データ等を送信する機能を有する。具体的には、例えば、送信部112は、ユーザ識別部220の制御のための記憶部130に記憶する使用者情報(例えば、ID情報など)、測定部210の測定および撮影並びにユーザ識別部220の識別に必要な動的パラメータデータ等を測定装置200に送信し、また、分析した尿成分に係る分析結果、推測された疾病の陽性および陰性に係る推測結果等のモニタリング結果を表す表示データをユーザ端末300に送信する。 The transmission unit 112 has a function of transmitting control data and the like to each measuring device 200 and monitoring result data and the like to each user terminal 300 through the network 400 according to the control of the control unit 120. Specifically, for example, the transmission unit 112 includes user information (for example, ID information) stored in the storage unit 130 for control of the user identification unit 220, measurement and photographing of the measurement unit 210, and user identification unit 220. Dynamic parameter data and the like necessary for identification are transmitted to the measuring apparatus 200, and display data representing monitoring results such as analysis results related to the analyzed urine component, estimation results related to the positive and negative of the estimated disease, etc. It transmits to the user terminal 300.
 制御部120は、解析部121、補正部122、分析部123および推測部124を含んで構成され、サーバ100の各部を制御する機能を有するプロセッサである。また、制御部120は、分析部123から分析結果を伝達されると、また、推測部124から推測結果を伝達されると、ユーザ端末300の表示部330にテキスト、表またはグラフで表示するための表示データを生成する。制御部120は、当該生成した表示データをユーザ端末300に送信するために、送信部112に伝達する。 The control unit 120 is a processor that includes an analysis unit 121, a correction unit 122, an analysis unit 123, and an estimation unit 124, and has a function of controlling each unit of the server 100. Further, when the analysis result is transmitted from the analysis unit 123 or when the estimation result is transmitted from the estimation unit 124, the control unit 120 displays the text, a table, or a graph on the display unit 330 of the user terminal 300. Generate display data. The control unit 120 transmits the generated display data to the transmission unit 112 for transmission to the user terminal 300.
 解析部121は、流体情報に基づいて、流体が流れる領域をモデル化した流体モデルを解析することで、排尿を解析する機能を有する。ここで「流体情報」とは、流体解析に必要な情報をいい、便器のボウルの形状情報(以降、「形状情報」という)、便器のボウル内の溜水の水量情報および水温情報等から構成される。 The analysis unit 121 has a function of analyzing urination by analyzing a fluid model obtained by modeling a region where the fluid flows based on the fluid information. Here, “fluid information” refers to information necessary for fluid analysis, and is composed of toilet bowl shape information (hereinafter referred to as “shape information”), information on the amount of water stored in the toilet bowl, water temperature information, and the like. Is done.
 解析部121は、具体的には、例えば、便器のボウルの形状情報、便器のボウル内の溜水の水量情報または水温情報等の少なくともいずれか一つに基づいて、測定部210の周囲を流れる流体をモデル化した流体モデルに基づいて、測定部210の周囲の流体を解析して尿量を算出することで排尿を解析する。また、解析部121は、便器のボウルの形状情報、便器のボウル内の溜水の水量情報、水温情報以外にも、洗剤等の量情報または洗剤等の成分情報等のトイレ環境に関する情報の少なくともいずれか一つを加えて、これらに基づいて、流体をモデル化等して排尿情報を解析してもよい。これらにより、排尿のみを採取して尿量を測定したり、便器のボウルや排水管に付設した測定器等で水位変化率から尿量を測定したりする必要がなく、使用者にとって使い勝手のよい健康モニタリングシステムを提供することができる。 Specifically, the analysis unit 121 flows around the measurement unit 210 based on at least one of, for example, the shape information of the toilet bowl, the amount of water stored in the toilet bowl, or the water temperature information. Based on the fluid model obtained by modeling the fluid, urination is analyzed by analyzing the fluid around the measurement unit 210 and calculating the amount of urine. In addition to the toilet bowl shape information, the amount of stored water in the toilet bowl, and the water temperature information, the analysis unit 121 includes at least information on the toilet environment such as the amount information of the detergent or the component information of the detergent. By adding any one of them, the urination information may be analyzed by modeling the fluid based on these. This eliminates the need to collect urine alone to measure urine volume, or to measure urine volume from the rate of change in water level using a measuring instrument attached to a toilet bowl or drainage pipe. A health monitoring system can be provided.
 当該流体のモデル化は、例えば、SVM(Support vector machine)等による回帰分析を用いて、測定した溜水および排尿含有水の水温から生成した水温情報に基づき、溜水および排尿含有水の水温がどの様に変化し最終的に収束するのかの予測モデルを構築して分析すること考えられる。また、当該回帰分析において、SVMにカーネル法で導き出したデータ構造を組み合わせて分析してもよい。また、他の例として、MCMC法(Markov Chain Monte Carlo)(マルコフ連鎖モンテカルロ法)による回帰分析を用いて、回帰モデルを構築して分析することも考えられる。さらに、これら以外にも、流体シミュレーションを用いて流体領域をモデル化する例として有限要素法やCFD(Computational Fluid Dynamics)法を用いることも考えられる。 Modeling of the fluid is based on the water temperature information generated from the measured water temperature of the stored water and urine-containing water using, for example, regression analysis by SVM (Support vector machine), etc. It is possible to construct and analyze a prediction model of how it will change and eventually converge. In the regression analysis, the SVM may be combined with the data structure derived by the kernel method for analysis. As another example, a regression model may be constructed and analyzed using regression analysis by the MCMC method (Markov Chain Monte Carlo) (Markov chain Monte Carlo method). In addition to these, as an example of modeling a fluid region by using fluid simulation, it is conceivable to use a finite element method or a CFD (Computational Fluid Dynamics) method.
 一例として、解析部121は、当該流体のモデル化において回帰分析を用いる場合、尿量qは、排尿前における便器ボウル内の溜水の温度と排尿後の排尿含有水の温度の変化量Tと、尿の温度(深部体温36~38の間の定数)と排尿後の排尿含有水の温度との温度差Tと、便器の形状ごとのパラメータqとを用いて、次式(1)のように数理モデルで表すことができる。 As an example, when the analysis unit 121 uses regression analysis in the modeling of the fluid, the urine volume q u is the amount of change T of the temperature of the stored water in the toilet bowl before urination and the temperature of the urine-containing water after urination. by using the a, and the temperature difference T b between the temperature of urination containing water after urination and (constant between core temperature 36-38) temperature of the urine, and a parameter q w of each shape of the toilet bowl, the formula ( It can be expressed by a mathematical model as in 1).
Figure JPOXMLDOC01-appb-M000001
Figure JPOXMLDOC01-appb-M000001
 補正部122は、水量情報および尿量を含む排尿情報に基づいて、電圧情報を補正する機能を有する。具体的には、例えば、補正部122は、尿量を水量および尿量の和で除算することにより希釈度合を算出し、当該希釈度合より電圧情報を補正する。これにより、便器のボウル内の溜水等による希釈を考慮した電圧情報の取得、ひいては尿成分の分析することができる。 The correction unit 122 has a function of correcting the voltage information based on the water amount information and the urination information including the urine amount. Specifically, for example, the correction unit 122 calculates the dilution level by dividing the urine volume by the sum of the water volume and the urine volume, and corrects the voltage information based on the dilution level. As a result, it is possible to acquire voltage information in consideration of dilution by stored water in the bowl of the toilet bowl, and to analyze urine components.
 一例として、補正部122は、当該希釈度合により補正した電圧情報としての電位差E’を、尿量qと便器のボウル内の水量qと電圧情報としての電位差Eとを用いて、次式(2)のように表すことができる。 As an example, the correction unit 122 uses the urine volume q u , the water volume q t in the bowl of the toilet bowl, and the potential difference E as the voltage information as the voltage information E ′ corrected as the voltage information based on the dilution degree, It can be expressed as (2).
Figure JPOXMLDOC01-appb-M000002
Figure JPOXMLDOC01-appb-M000002
 補正部122は、照度情報に基づいて撮影情報を補正する機能を有する。ここで「照度情報」とは、撮影部212のフィルム面の照度(明るさ)(lx)を表す情報をいう。具体的には、例えば、補正部122は、照度情報に基づいてRGB値の明度を適切な値に調節することで補正する。これにより、照明による影響を考慮したRGB値を得ることができ、精度よく色測定をすることができる。 The correction unit 122 has a function of correcting shooting information based on illuminance information. Here, “illuminance information” refers to information representing the illuminance (brightness) (lx) of the film surface of the photographing unit 212. Specifically, for example, the correction unit 122 performs correction by adjusting the brightness of the RGB value to an appropriate value based on the illuminance information. As a result, RGB values can be obtained in consideration of the influence of illumination, and color measurement can be performed with high accuracy.
 分析部123は、電圧情報または補正した電圧情報(以降、「電圧情報(補正後)」という)に基づいて、尿成分を分析する機能を有する。分析部123は、具体的には、例えば、電圧情報(補正後)に基づいて、尿中の塩化物、ブドウ糖、カリウム、ナトリウム、尿素等の成分の分子濃度を分析する。また、図10に示すようにph値を分析することもできる。これにより、排尿が溜水で希釈されても精度よく分析することができる。また、分析部123は、当該分析結果をユーザ端末300に表示させる表示データを生成するために、制御部120に伝達する。 The analysis unit 123 has a function of analyzing urine components based on voltage information or corrected voltage information (hereinafter referred to as “voltage information (after correction)”). Specifically, the analysis unit 123 analyzes the molecular concentration of components such as chloride, glucose, potassium, sodium, and urea in urine based on, for example, voltage information (after correction). Further, the ph value can be analyzed as shown in FIG. Thereby, even if urine is diluted with stored water, it can be analyzed with high accuracy. Further, the analysis unit 123 transmits the analysis result to the control unit 120 in order to generate display data to be displayed on the user terminal 300.
 分析部123は、撮影情報または補正した撮影情報(以降、「撮影情報(補正後)」という)に基づいて、尿成分を分析する機能も有する。具体的には、例えば、分析部123は、撮影情報(RGB値)に基づいて試薬に対する尿中の特定成分の発色反応の色を測定し、当該色に対応する尿中の特定成分またはその濃度を分析する。また、分析部123は、当該分析結果をユーザ端末300に表示させる表示データを生成するために、制御部120に伝達する。これにより、バイオアッセイ(イムノクロマト法など)による尿中の特定成分およびその濃度の分析を、人による目視等ではなく、人を介さず自動で簡易的に実現することができる。 The analysis unit 123 also has a function of analyzing the urine component based on the imaging information or the corrected imaging information (hereinafter referred to as “imaging information (after correction)”). Specifically, for example, the analysis unit 123 measures the color of a color development reaction of a specific component in urine with respect to the reagent based on imaging information (RGB values), and the specific component in urine corresponding to the color or its concentration Analyze. Further, the analysis unit 123 transmits the analysis result to the control unit 120 in order to generate display data to be displayed on the user terminal 300. Thereby, analysis of specific components in urine and their concentrations by bioassay (such as immunochromatography) can be realized automatically and simply without human intervention, such as by visual inspection.
 推測部124は、解析された排尿の排尿情報に基づいて、使用者の疾病を推測する機能を有する。推測部124は、具体的には、例えば、分析された尿中の特定成分(具体的には、例えば、当該成分の濃度等)に基づいて、使用者の疾病を推測する。一例として、図10に示すように、尿中のブドウ糖の濃度を分析することで尿糖値を算出し、糖尿病が陽性であるか、または陰性であるかを推測する。また、図10には、その他の測定部210の測定または分析部123の分析結果(「測定・分析結果」という)と、当該測定・分析結果から推測される疾病などの情報との対応付けの例を示している。推測部124の推測にあたって、当該対応付けの例に表記する推測を含めてもよい。また、推測部124は、当該推測結果をユーザ端末300に表示させる表示データを生成するために、制御部120に伝達する。 The estimation unit 124 has a function of estimating a user's disease based on the analyzed urination information of urination. Specifically, the estimation unit 124 estimates the user's disease based on, for example, the analyzed specific component in urine (specifically, for example, the concentration of the component). As an example, as shown in FIG. 10, the urine sugar value is calculated by analyzing the concentration of glucose in urine, and it is estimated whether diabetes is positive or negative. FIG. 10 also shows the correspondence between the measurement result of the other measurement unit 210 or the analysis result of the analysis unit 123 (referred to as “measurement / analysis result”) and information such as a disease estimated from the measurement / analysis result. An example is shown. In the estimation by the estimation unit 124, the estimation described in the example of the association may be included. In addition, the estimation unit 124 transmits the estimation result to the control unit 120 in order to generate display data to be displayed on the user terminal 300.
 推測部124による推測にあたっては、(1)閾値による推測、(2)機械学習による推測を用いることができる。推測部124は、一例として、(1)の推測においては、測定結果と記憶部130に記憶する閾値の比較によって、例えば、当該閾値内であれば正常(または陰性)、当該閾値を超過している場合は異常(または陽性)と判定して、疾病を推測する。(2)の推測においては、測定結果の特徴量を抽出し、当該特徴量に基づいて特徴ベクトルを作成する。作成した特徴ベクトルは、辞書データ(測定値と当該測定値に紐づく検査結果(分析結果および推測結果に基づく、疾病の陽性か陰性か等の結果)のセットを複数ケース用いて作成したデータで、機械学習における訓練データ(教師データ)として用いるデータ)を基準に識別が行われ、当該識別結果により疾病を推測する。なお、当該機械学習の技法としては、ニュートラルネットワーク(パーセプトロン)、SVM等を用いてもよい。これにより、機械学習の学習効果により推測部124の推測精度の向上させていくことができる。 In the estimation by the estimation unit 124, (1) estimation based on a threshold value and (2) estimation based on machine learning can be used. For example, in the estimation of (1), the estimation unit 124 compares the measurement result with a threshold value stored in the storage unit 130, for example, normal (or negative) if the value is within the threshold value, and exceeds the threshold value. If so, it is judged as abnormal (or positive) and the disease is estimated. In the estimation of (2), the feature quantity of the measurement result is extracted, and a feature vector is created based on the feature quantity. The created feature vectors are data created using multiple sets of dictionary data (measurement values and test results linked to the measurement values (results of positive or negative disease based on analysis results and estimation results)). The data is used on the basis of training data (teacher data) in machine learning, and a disease is estimated based on the identification result. As the machine learning technique, a neutral network (perceptron), SVM, or the like may be used. Thereby, the estimation accuracy of the estimation unit 124 can be improved by the learning effect of machine learning.
 記憶部130は、サーバ100が動作するうえで必要とする各種プログラム、データおよびパラメータを記憶する機能を有する。具体的には、例えば、記憶部130は、流体情報(便器のボウルの形状情報、便器の溜水の水量情報)、撮影情報、重量情報、照度情報、ユーザ識別情報並びに通信部110、制御部120および記憶部130の動作に必要なパラメータを記憶する。記憶部130は、一例として、図8に示すように、解析や分析等に必要な情報および測定結果や検査結果(分析結果、推測結果)を各種データベース(以降、「DB」という)に保存して記憶する。なお、データの記憶、管理方法は、DBに限らず、定義ファイル、パラメータファイル、テンポラリファイルなどの各種設定ファイル(以降、「設定ファイル」という)に保存して記憶してもよい。記憶部250は、典型的には、HDD(Hard Disc Drive)、SSD(Solid State Drive)、フラッシュメモリ(SD(Secure Digital)メモリーカード)等各種の記録媒体により実現される。各種DBについては、後述の<データ>で示す。
 以上が、サーバ100の構成である。
The storage unit 130 has a function of storing various programs, data, and parameters necessary for the operation of the server 100. Specifically, for example, the storage unit 130 includes fluid information (toilet bowl shape information, toilet water volume information), imaging information, weight information, illuminance information, user identification information, and communication unit 110, control unit. 120 and parameters necessary for the operation of the storage unit 130 are stored. For example, as shown in FIG. 8, the storage unit 130 stores information necessary for analysis and analysis, measurement results, and inspection results (analysis results and estimation results) in various databases (hereinafter referred to as “DB”). Remember. The data storage and management method is not limited to the DB, and may be stored and stored in various setting files (hereinafter referred to as “setting file”) such as a definition file, a parameter file, and a temporary file. The storage unit 250 is typically realized by various recording media such as an HDD (Hard Disc Drive), an SSD (Solid State Drive), and a flash memory (SD (Secure Digital) memory card). Various DBs are shown in <Data> described later.
The above is the configuration of the server 100.
 次に測定装置200の構成について説明する。
 図2に示すように、測定装置200は、測定部210、ユーザ識別部220、制御部230、通信部240、記憶部250を含んで構成される。また、測定装置200は、各部を複数の機器に配置することができる。例えば、図4に示すように、測定部210を図4の右記の示すような機器に配置し、一方、ユーザ識別部220、制御部230、通信部240、記憶部250を図4の左記に示すような別の機器にまとめて配置することができる。これにより、測定部210のみ配置した機器を便器のボウル内等に設置し、一方の機器は通信が問題ない範囲で適宜設置すればよく、便器の形状に対して汎用性を持たせた機器構成とすることができる。
Next, the configuration of the measuring apparatus 200 will be described.
As shown in FIG. 2, the measurement apparatus 200 includes a measurement unit 210, a user identification unit 220, a control unit 230, a communication unit 240, and a storage unit 250. Moreover, the measuring apparatus 200 can arrange | position each part to several apparatus. For example, as shown in FIG. 4, the measurement unit 210 is arranged in a device as shown on the right side of FIG. 4, while the user identification unit 220, the control unit 230, the communication unit 240, and the storage unit 250 are placed on the left side of FIG. They can be placed together on separate devices as shown. Thus, a device in which only the measuring unit 210 is arranged is installed in the bowl of the toilet bowl, etc., and one device may be installed as long as there is no problem in communication, and the device configuration has versatility with respect to the shape of the toilet bowl. It can be.
 測定部210は、電極部211、撮影部212、照度センサ部213、温度測定部214を含んで構成される。測定部210は、例えば、図3に示すように電極部211、撮影部212および温度測定部214の少なくとも一部が便器のボウル内の溜水に浸るように設置されてもよい。測定部210は、使用者から制御部230に備える入力手段で測定開始が入力されたことを伝達された場合は、当該伝達をトリガーに電極部211、撮影部212、照度センサ部213および温度測定部214に各測定を開始させることができる。 The measuring unit 210 includes an electrode unit 211, a photographing unit 212, an illuminance sensor unit 213, and a temperature measuring unit 214. For example, as shown in FIG. 3, the measurement unit 210 may be installed such that at least a part of the electrode unit 211, the imaging unit 212, and the temperature measurement unit 214 is immersed in water stored in the bowl of the toilet bowl. When the measurement unit 210 is notified from the user that the measurement start is input by an input unit provided in the control unit 230, the transmission is triggered by the electrode unit 211, the imaging unit 212, the illuminance sensor unit 213, and the temperature measurement. Each measurement can be started by the unit 214.
 測定部210は、温度測定部214が生成する温度情報(例えば、溜水または排尿含有水の水温)または電極部211が生成する電圧情報(例えば、電位差)の少なくともいずれか一つが所定の閾値に達した際に、測定部210を構成する各部の各測定を自動で開始または終了することもできる。これにより、使用者は測定開始または測定終了都度、開始または終了の選択操作行為をすることなく、通常の排尿行為において測定を開始することができ、使い勝手のよい測定装置を提供することができる。なお、測定開始の温度情報の閾値として38度とするのが好ましい。 The measurement unit 210 has at least one of temperature information generated by the temperature measurement unit 214 (for example, the water temperature of stored water or urine-containing water) or voltage information generated by the electrode unit 211 (for example, potential difference) at a predetermined threshold. When it reaches, each measurement of each unit constituting the measurement unit 210 can be automatically started or ended. As a result, the user can start the measurement in the normal urination action without performing the selection operation action of starting or ending each time the measurement is started or finished, and a user-friendly measuring device can be provided. In addition, it is preferable to set it as 38 degree | times as a threshold value of the temperature information of a measurement start.
 また、測定部210は、ユーザ識別部220が使用者の識別処理を完了しことをトリガーに自動で測定を開始してもよい。さらに、測定部210は、測定項目ごとに閾値を設け、当該閾値に達するデータを取得したことをトリガーに測定を終了させてもよい。さらに、測定部210は、ユーザ端末300の表示部330からの操作入力により手動で測定を開始または終了してもよい。さらに、測定装置200に人感センサ(不図示)を設けて、当該人感センサの赤外線等により人の気配を検知したことをトリガーに測定を開始し、または、人の気配が無くなったことを検知したことをトリガーに測定を終了させてもよい。 In addition, the measurement unit 210 may automatically start the measurement triggered by the user identification unit 220 completing the user identification process. Furthermore, the measurement unit 210 may provide a threshold value for each measurement item, and may end the measurement with the trigger of the acquisition of data that reaches the threshold value. Further, the measurement unit 210 may manually start or end the measurement by an operation input from the display unit 330 of the user terminal 300. Furthermore, a human sensor (not shown) is provided in the measuring apparatus 200, and the measurement is started by detecting that a human sign is detected by infrared rays or the like of the human sensor, or that the human sign is lost. The measurement may be terminated with the detection as a trigger.
 電極部211は、電解質である尿中の特定成分について、当該電解質による起電力(電位差、電圧値)および排尿含有水に浸漬した電極間を流れる電流値を、二以上の電極を使用して測定し、電圧情報を生成する機能を有する。具体的には、例えば、電極部211は、尿中の特定成分の濃度を測定するために、二以上の電極、電位差計、電流計から構成される。電極部211は、例えば、一つを参照電極とし、別の電極を作用電極とすることで、これらの電極を排尿含有水に浸漬し、排尿含有水の分析目的の尿成分の濃度(活量)に応答する作用電極と参照電極の起電力差を電位差計で測定する。測定結果に基づいて電圧情報を生成し、当該生成した電圧情報を、サーバ100に送信するために、制御部230を介して、送信部242に伝達する。 The electrode unit 211 measures the electromotive force (potential difference, voltage value) by the electrolyte and the current value flowing between the electrodes immersed in urine-containing water using two or more electrodes for a specific component in the urine that is an electrolyte. And has a function of generating voltage information. Specifically, for example, the electrode unit 211 includes two or more electrodes, a potentiometer, and an ammeter in order to measure the concentration of a specific component in urine. For example, the electrode unit 211 uses one electrode as a reference electrode and another electrode as a working electrode, so that these electrodes are immersed in urine-containing water, and the concentration (activity of urine components for analysis of urine-containing water) ) To measure the electromotive force difference between the working electrode and the reference electrode in response to the potentiometer. Voltage information is generated based on the measurement result, and the generated voltage information is transmitted to the transmission unit 242 via the control unit 230 in order to transmit the voltage information to the server 100.
 ここで「電圧情報」とは、電極部211の電極を用いて発生する尿中の特定成分(電解質)による起電力(電位差、電圧値)に係る情報をいう。なお、イオン選択性電極法を用いた例を示したが、酵素電極法(GOD(Glucose OxiDase)法)を用いてもよく、また、対極となる電極を追加して、三極による電極法を用いてもよい。これにより、生成した電圧情報に基づいて尿中の特定成分の濃度等を測ることができる。 Here, “voltage information” refers to information relating to electromotive force (potential difference, voltage value) due to a specific component (electrolyte) in urine generated using the electrode of the electrode unit 211. In addition, although the example using the ion selective electrode method was shown, the enzyme electrode method (GOD (Glucose OxiDase) method) may be used, and the electrode method using three electrodes is added by adding an electrode as a counter electrode. It may be used. Thereby, the density | concentration etc. of the specific component in urine can be measured based on the produced | generated voltage information.
 一例として、電圧情報としての電位差Eと、参照電極のpH値pHiと、尿中の特性成分として水素イオン濃度であるpH値pHoとを次式(3)のように表すことができる。通常pHi≒7となり、αは感度を、eは不斉電位を指定する。例えば、水温25℃の理想的な電極では、α=1、e=0となる。 As an example, the potential difference E as voltage information, the pH value pH i of the reference electrode, and the pH value pH o which is a hydrogen ion concentration as a characteristic component in urine can be expressed as the following equation (3). Usually, pH i ≈7, α designates sensitivity, and e designates asymmetric potential. For example, in an ideal electrode with a water temperature of 25 ° C., α = 1 and e = 0.
Figure JPOXMLDOC01-appb-M000003
Figure JPOXMLDOC01-appb-M000003
 撮影部212は、バイオアッセイを用いて尿中の特定成分を試薬等に呈色反応させて当該反応具合を撮影する機能を有する。具体的には、例えば、撮影部212は、排尿含有水の成分に応じて色を変化させるフィルムおよび当該フィルムを撮影する撮影手段から構成される。ここで「フィルム」は、試薬を添加できて尿中の特定成分を呈色反応させることができ、かつ、テープ状(例えば、帯状の厚さの薄くなっており、リールなどで巻き取れる形状など)にできればどの様な材質でもよく、合成樹脂などの高分子成分から構成してもよいし、紙や布等の繊維質から構成してもよい。なお、当該フィルムは透明であることが好ましい。例えば、撮影部212は、アッセイ法としてイムノクロマト法を用いた場合、当該フィルムは、サンプルパッド、コンジュゲートパッド、テストライン(検出ライン)、コントロールラインおよびメンブレンおよび吸収パッドなどを含んで構成されるが、この限りではない。なお、フィルムの構成に関しては、図5、6および7を用いて後述する。 The photographing unit 212 has a function of photographing a reaction state by causing a color component to react with a specific component in urine using a bioassay. Specifically, for example, the photographing unit 212 includes a film that changes color according to a component of urine-containing water and a photographing unit that photographs the film. Here, the “film” can be added with a reagent to cause a color reaction of a specific component in urine, and is in the form of a tape (for example, a thin band-like thickness that can be wound on a reel, etc. ), Any material may be used, and it may be composed of a polymer component such as a synthetic resin, or may be composed of a fiber such as paper or cloth. Note that the film is preferably transparent. For example, when the imaging unit 212 uses an immunochromatography method as an assay method, the film includes a sample pad, a conjugate pad, a test line (detection line), a control line, a membrane, an absorption pad, and the like. This is not the case. The structure of the film will be described later with reference to FIGS.
 サンプルパッドに排尿含有水を浸して吸収させ、テストラインおよびコントロールラインの呈色反応による発色のRGB(Red Green Blue)値をカメラ等の撮影手段で撮影することで読み取り、当該撮影情報(読み取ったRGB値)は、サーバ100に送信するために制御部230を介して、送信部242に伝達する。 The urine-containing water is immersed in the sample pad and absorbed, and the RGB (Red Green Blue) value of the color developed by the color reaction of the test line and control line is read by taking a picture with a photographing means such as a camera. RGB values) are transmitted to the transmission unit 242 via the control unit 230 for transmission to the server 100.
 なお、サーバ100では当該撮影情報に基づいて、呈色反応により発色した色を測定する。これにより、分光器等を使用して波長等を読み取るより、コストを抑えて色を測定することができる。この際、ノイズが含まれることが想定されるが、サーバ100の補正部122で当該ノイズを除去することができる。 Note that the server 100 measures the color developed by the color reaction based on the photographing information. Accordingly, it is possible to measure the color at a lower cost than reading the wavelength using a spectroscope or the like. At this time, it is assumed that noise is included, but the correction unit 122 of the server 100 can remove the noise.
 ここで、特許文献1、2の従来技術は、イムノクロマトアッセイ法などの抗原抗体反応を利用した、検体をパッドに添加して抗原抗体反応をおこして複合体を形成し、当該複合体が別種の抗体とさらに複合体として結合して、その反応(例えば、発色など)により妊娠や疾病の陽性陰性を判定する検査方法には適用できないという問題があった。 Here, the prior arts of Patent Documents 1 and 2 use an antigen-antibody reaction such as an immunochromatographic assay method, add a specimen to a pad to cause an antigen-antibody reaction, and form a complex. There is a problem in that it cannot be applied to a test method in which the antibody is further bound as a complex and the reaction (for example, color development) is used to determine the positive or negative of pregnancy or disease.
 本発明に係る健康モニタリングシステム500は、排尿が流れ込んだ溜水の成分に応じて色を変化させるフィルムと、フィルムを撮影して撮影情報を生成する撮影手段を含む撮影部212をさらに備え、補正部122は、水量情報および排尿の尿量を含む排尿情報に基づいて、撮影情報を補正し、分析部123は、補正した撮影情報に基づいて尿成分を分析するため、イムノクロマトアッセイ法などの抗原抗体反応を利用した検査方法にも適用でき、従来の便器に設置する排尿情報の測定装置などと比較して、より多くの測定をすることができる。 The health monitoring system 500 according to the present invention further includes a filming unit 212 including a film that changes color according to the component of the accumulated water into which urine flows and a photographing unit that photographs the film and generates photographing information. The unit 122 corrects the imaging information based on the urination information including the water amount information and the urine volume of urination, and the analysis unit 123 analyzes the urine component based on the corrected imaging information, so that an antigen such as an immunochromatographic assay method is used. It can also be applied to a test method using an antibody reaction, and more measurements can be performed as compared with a urination information measuring device installed in a conventional toilet.
 照度センサ部213は、撮影部212が撮影するフィルム面の照度(明るさ)を測定する機能を有する。フォトダイオード等の受光素子から構成される。例えば、照度センサ部213は、当該受光素子に入射した光を電流に変換して照度を検知し、当該照度情報をサーバ100に送信するため、制御部230を介して送信部242に伝達する。なお、サーバ100では、当該照度情報を用いて上記色の測定結果を補正することができる。これにより、照明による照度を考慮した色の測定結果を得ることができ、精度よく、尿中の分析目的の特定成分の反応具合を分析することができる。 The illuminance sensor unit 213 has a function of measuring the illuminance (brightness) of the film surface photographed by the photographing unit 212. It is composed of a light receiving element such as a photodiode. For example, the illuminance sensor unit 213 detects the illuminance by converting the light incident on the light receiving element into an electric current, and transmits the illuminance information to the server 100, and transmits the illuminance information to the transmission unit 242. The server 100 can correct the measurement result of the color using the illuminance information. As a result, it is possible to obtain a color measurement result in consideration of illuminance by illumination, and to analyze the reaction state of a specific component for analysis in urine with high accuracy.
 温度測定部214は、便器のボウル内の溜水の温度、または、排尿含有水の温度を測定して水温情報を生成する機能を有する。温度測定部214は、例えば、サーミスタ、発振器およびカウンターから構成される。サーミスタで温度変化による抵抗値の変化を出力し、当該抵抗値の変化を発振器によって周波数に変換し、当該周波数をカウンターが測定して、温度を測定する。当該水温情報は、サーバ100に送信するため、制御部230を介して送信部242に伝達する。 The temperature measuring unit 214 has a function of generating water temperature information by measuring the temperature of stored water in the bowl of the toilet bowl or the temperature of urine-containing water. The temperature measurement unit 214 includes, for example, a thermistor, an oscillator, and a counter. A thermistor outputs a change in resistance value due to a temperature change, converts the change in resistance value into a frequency by an oscillator, measures the frequency by a counter, and measures the temperature. The water temperature information is transmitted to the transmission unit 242 via the control unit 230 for transmission to the server 100.
 ユーザ識別部220は、便器を使用して健康モニタリングシステム500によってモニタリングする対象の使用者を識別する機能を有する。ユーザ識別部220は、例えば、図3に示すように測定部210とケーブル等の有線で接続されていて、洗浄水を貯留するタンクに備え付けるようタンク等の陶器製の機器に対する吸着手段を備えてもよいし、他の取り付け手段を備えてもよい。 The user identification unit 220 has a function of identifying a user to be monitored by the health monitoring system 500 using a toilet. For example, as shown in FIG. 3, the user identification unit 220 is connected to the measurement unit 210 via a cable or the like, and includes a suction unit for a ceramic device such as a tank so as to be installed in a tank for storing cleaning water. Alternatively, other attachment means may be provided.
 ユーザ識別部220は、具体的には、例えば、当該使用者が所有するユーザ端末300に搭載するヘルスモニタリングアプリが出力する使用者を一意に識別する情報(例えば、QRコード(登録商標))(当該使用者を識別する情報を、以降「ユーザ識別情報」という)、当該使用者が所有するIC(Integrated Circuit)カードの使用者を一意に識別する磁気情報、WiMAX(Worldwide Interoperability for Microwave Access)やWiFi(Wireless Fidelity)およびBluetooth(登録商標)等の無線LAN(Local Area Network)などの使用者を一意に識別する情報(例えば、受信信号強度情報、電波受信強度情報等)を読み取り、使用者を識別する。 Specifically, the user identification unit 220 is, for example, information (for example, QR code (registered trademark)) that uniquely identifies the user that is output by the health monitoring application installed in the user terminal 300 owned by the user. The information for identifying the user is hereinafter referred to as “user identification information”), magnetic information for uniquely identifying the user of an IC (Integrated Circuit) card owned by the user, WiMAX (Worldwide Interoperability for Microwave Access), Reads information that uniquely identifies the user such as WiFi (Wireless Fidelity) and Bluetooth (registered trademark) such as wireless LAN (Local Area Network) (for example, received signal strength information, radio wave received strength information, etc.) Identify.
 これにより、使用者の識別を、ユーザ端末300またはICカードをユーザ識別部220にかざすだけで使用者の識別を自動的に行うことができ、また、自動的にネットワークを識別し、ひいては特定の機関(例えば、会社、病院、学校など)であることを識別することができ、使用者が便器の使用都度、使用者を識別する情報、特定の機関であることを識別する情報を操作入力することなく、簡易的に識別することができる。 As a result, the user can be automatically identified simply by holding the user terminal 300 or the IC card over the user identifying unit 220, and the network can be automatically identified, and as a result It is possible to identify an institution (for example, a company, a hospital, a school, etc.), and each time a user uses a toilet, information that identifies the user or information that identifies a specific institution is input. And can be easily identified.
 また、ユーザ識別部220は、計測部221を含んで構成されてもよい。計測部221は、例えば、洋式便器の場合に便座が受ける使用者の重量(Kg重)を計測し、当該計測した使用者ごとの重量の情報(以降、「重量情報」という)を記憶部250に記憶する。ユーザ識別部220は、重量情報に基づいて、使用者を識別し、ユーザ識別情報を生成する。他にも、ユーザ識別部220は、顔認識センサを備えて顔認証、姿勢検知センサを備えて姿勢検出、脈拍測定手段を備えて使用者の脈拍測定、血圧測定手段を備えて、使用者の血圧測定、体脂肪率測定手段を備えて使用者の体脂肪率測定、筋肉量測定手段を備えて使用者の筋肉量測定による使用者の識別をしてもよい。 Also, the user identification unit 220 may be configured to include the measurement unit 221. For example, the measurement unit 221 measures the weight (Kg weight) of a user received by the toilet seat in the case of a Western-style toilet, and stores information on the measured weight for each user (hereinafter referred to as “weight information”). To remember. The user identification unit 220 identifies a user based on the weight information and generates user identification information. In addition, the user identification unit 220 includes a face recognition sensor, a face authentication, a posture detection sensor, a posture detection, a pulse measurement unit, a user pulse measurement, a blood pressure measurement unit, and a user's pulse measurement unit. A user may be identified by blood pressure measurement, body fat percentage measurement means and user body fat percentage measurement, muscle mass measurement means and user muscle mass measurement.
 これらのユーザ識別情報は、セットとなる水温情報、電圧情報、ユーザ識別情報、照度情報、撮影情報と併せてサーバ100に送信してもよいし、識別したタイミングで送信してもよい。ユーザ識別部220はサーバ100に送信するため、制御部230を介して送信部242に伝達する。これにより、使用者の識別を通常の排尿行為の一環において自動的に行うことができ、使用者が便器の使用都度、使用者を識別する情報を入力することなく、簡易的に識別することができる。 The user identification information may be transmitted to the server 100 together with the set water temperature information, voltage information, user identification information, illuminance information, and photographing information, or may be transmitted at the identified timing. The user identification unit 220 is transmitted to the transmission unit 242 via the control unit 230 for transmission to the server 100. As a result, the user can be automatically identified as part of normal urination, and the user can easily identify the user without inputting information for identifying the user every time the toilet is used. it can.
 制御部230は、測定装置200の各部を制御する機能を有するプロセッサである。また、制御部230は、使用者が排尿に係る各測定の開始を手動で選択できる入力手段を備えることができる(不図示)。制御部230は、当該入力手段で測定開始が入力されたことを測定部210に伝達する。 The control unit 230 is a processor having a function of controlling each unit of the measurement apparatus 200. In addition, the control unit 230 can include an input unit that allows the user to manually select the start of each measurement related to urination (not shown). The control unit 230 notifies the measurement unit 210 that the measurement start is input by the input unit.
 通信部240は、受信部241および送信部242を備え、ネットワーク400を介して、サーバ100および各ユーザ端末200との通信を実行する機能を有する。当該通信は、有線、無線(例えば、Wi-Fi(Wireless Fidelity)、BLE(Bluetooth Low Energy)、ZigBeeなどの通信方式)のいずれでもよく、また、互いの通信が実行できるのであれば、どのような通信プロトコルを用いてもよい。 The communication unit 240 includes a reception unit 241 and a transmission unit 242, and has a function of executing communication with the server 100 and each user terminal 200 via the network 400. The communication may be wired or wireless (for example, a communication method such as Wi-Fi (Wireless Fidelity), BLE (Bluetooth Low Energy), ZigBee, etc.), and any communication can be performed. Various communication protocols may be used.
 受信部241は、ネットワーク400を介して、制御部230の制御に従って、各サーバ100および各ユーザ端末300から制御データ等を受信し、当該制御データ等を制御部120に伝達する機能を有する。具体的には、受信部241は、サーバ100からユーザ識別部220の制御のための記憶部130に記憶する使用者情報(例えば、ID情報など)、測定部210の測定および撮影並びにユーザ識別部220の識別に必要な動的パラメータデータ等を受信し、制御部230に伝達する。 The receiving unit 241 has a function of receiving control data and the like from each server 100 and each user terminal 300 via the network 400 according to the control of the control unit 230 and transmitting the control data and the like to the control unit 120. Specifically, the reception unit 241 includes user information (for example, ID information) stored in the storage unit 130 for controlling the user identification unit 220 from the server 100, measurement and photographing of the measurement unit 210, and a user identification unit. Dynamic parameter data and the like necessary for identification 220 are received and transmitted to the control unit 230.
 送信部242は、ネットワーク400を介して、制御部230の制御に従って、サーバ100および各ユーザ端末300に測定データ等を送信する機能を有する。具体的には、例えば、送信部242は、水温情報、電圧情報、ユーザ識別情報(計測情報含む)、照度情報および撮影情報をサーバ100または各ユーザ端末300に送信する。なお、送信部242の送信タイミングとしては、(1)測定後即時(例えば、測定データが測定部210から伝達されたことをトリガーとするなど)、(2)周期的に(例えば、使用者の生活リズムや記憶部250のキャパシティ等を考慮して定めた一定時間ごとに)、(3)記憶部250の記憶容量に閾値を設定して当該閾値に達した際などを送信タイミングとしてもよい。 The transmission unit 242 has a function of transmitting measurement data and the like to the server 100 and each user terminal 300 through the network 400 under the control of the control unit 230. Specifically, for example, the transmission unit 242 transmits water temperature information, voltage information, user identification information (including measurement information), illuminance information, and shooting information to the server 100 or each user terminal 300. Note that the transmission timing of the transmission unit 242 is (1) immediately after measurement (for example, triggered by transmission of measurement data from the measurement unit 210), (2) periodically (for example, by the user) (3) When a threshold value is set for the storage capacity of the storage unit 250 and the threshold value is reached, the transmission timing may be set as a transmission timing. .
 記憶部250は、測定装置200が動作するうえで必要とする各種プログラム、データおよびパラメータを記憶する機能を有する。具体的には、例えば、記憶部250は、使用者情報および測定部210、ユーザ識別部220、制御部230および通信部240の動作に必要なパラメータを記憶する。記憶部250は、典型的には、HDD(Hard Disc Drive)、SSD(Solid State Drive)、フラッシュメモリ(SD(Secure Digital)メモリーカード)等各種の記録媒体により実現される。
 以上が、測定装置200の構成である。
The storage unit 250 has a function of storing various programs, data, and parameters necessary for the measurement apparatus 200 to operate. Specifically, for example, the storage unit 250 stores user information and parameters necessary for the operation of the measurement unit 210, the user identification unit 220, the control unit 230, and the communication unit 240. The storage unit 250 is typically realized by various recording media such as an HDD (Hard Disc Drive), an SSD (Solid State Drive), and a flash memory (SD (Secure Digital) memory card).
The above is the configuration of the measuring apparatus 200.
 次にユーザ端末300の構成について説明する。
 図2に示すように、ユーザ端末300は、通信部310、制御部320、表示部330、記憶部340を含んで構成される。ユーザ端末300の各部はヘルスモニタリングアプリに含んで構成してもよいし、ユーザ端末300の回路に組み込んでもよい。
Next, the configuration of the user terminal 300 will be described.
As illustrated in FIG. 2, the user terminal 300 includes a communication unit 310, a control unit 320, a display unit 330, and a storage unit 340. Each unit of the user terminal 300 may be included in the health monitoring application, or may be incorporated in the circuit of the user terminal 300.
 通信部310は、受信部311および送信部312を備え、ネットワーク400を介して、サーバ100および各測定装置200との通信を実行する機能を有する。当該通信は、有線、無線のいずれでもよく、また、互いの通信が実行できるのであれば、どのような通信プロトコルを用いてもよい。 The communication unit 310 includes a reception unit 311 and a transmission unit 312 and has a function of performing communication with the server 100 and each measurement device 200 via the network 400. The communication may be either wired or wireless, and any communication protocol may be used as long as mutual communication can be performed.
 受信部311は、ネットワーク400を介して、制御部320の制御に従って、各サーバ100および各測定装置200から表示データ等を受信し、当該表示データ等を制御部320に伝達する機能を有する。受信部311は、具体的には、例えば、サーバ100から尿の検査結果を含む表示情報を受信し、ユーザ識別部220の制御のための記憶部130に記憶する使用者情報(例えば、ID情報など)、測定部210の測定および撮影並びにユーザ識別部220の識別に必要な動的パラメータデータ等を受信し、制御部230に伝達する。 The receiving unit 311 has a function of receiving display data and the like from each server 100 and each measuring apparatus 200 via the network 400 and transmitting the display data and the like to the control unit 320 under the control of the control unit 320. Specifically, the receiving unit 311 receives, for example, display information including a urine test result from the server 100 and stores the user information (for example, ID information) stored in the storage unit 130 for control of the user identification unit 220. And the like, and the dynamic parameter data necessary for the measurement and photographing of the measurement unit 210 and the identification of the user identification unit 220 are received and transmitted to the control unit 230.
 送信部312は、ネットワーク400を介して、制御部320の制御に従って、サーバ100および各測定装置200に、表示部330から使用者が入力した入力情報、QRコード(登録商標)情報等のユーザ識別情報等を送信する機能を有する。 The transmission unit 312 transmits user identification such as input information and QR code (registered trademark) information input from the display unit 330 to the server 100 and each measurement device 200 via the network 400 under the control of the control unit 320. It has a function of transmitting information and the like.
 制御部320は、ユーザ端末300の各部を制御する機能を有するプロセッサである。また、制御部320は、表示部330から入力結果を伝達されると、また、推測部124から推測結果を伝達されると、ユーザ端末300の表示部330にテキスト、表またはグラフで表示するための表示データを生成する。制御部120は、当該生成した表示データをユーザ端末300に送信するために、送信部112に伝達する。 The control unit 320 is a processor having a function of controlling each unit of the user terminal 300. In addition, when the input result is transmitted from the display unit 330 or when the estimation result is transmitted from the estimation unit 124, the control unit 320 displays text, a table, or a graph on the display unit 330 of the user terminal 300. Generate display data. The control unit 120 transmits the generated display data to the transmission unit 112 for transmission to the user terminal 300.
 表示部330は、サーバ100または測定装置200から受信した表示データ等を表示する機能を有する。具体的には、例えば、表示部330は、図3に示すように、測定した排尿に係る測定値および正常か異常か等の測定結果、分析した尿成分に係る分析結果、推測された疾病の陽性か陰性か等の推測結果等のモニタリング結果を表す表示データをテキスト、表またはグラフ等を用いて表示する。当該結果については、日単位、週単位、月単位等ユーザが指定した表示単位表示してもよい。また、表示部330は、使用者に対し入力手段を備えて、例えば、ユーザ識別情報(例えば、氏名、年齢、性別、身長、体重など)を入力させてもよい。 The display unit 330 has a function of displaying display data received from the server 100 or the measuring apparatus 200. Specifically, for example, as shown in FIG. 3, the display unit 330 displays a measurement value related to the measured urination and a measurement result such as normal or abnormal, an analysis result related to the analyzed urine component, an estimated disease Display data representing monitoring results such as a positive or negative estimation result is displayed using text, a table, a graph, or the like. The result may be displayed in display units designated by the user, such as daily, weekly, or monthly. In addition, the display unit 330 may include input means for the user, for example, to input user identification information (for example, name, age, sex, height, weight, etc.).
 記憶部340は、ユーザ端末300が動作するうえで必要とする各種プログラム、データおよびパラメータを記憶する機能を有する。具体的には、例えば、記憶部340は、ユーザ識別情報並びに通信部310、制御部320、表示部330および記憶部340の動作に必要なパラメータを記憶する。記憶部250は、典型的には、HDD(Hard Disc Drive)、SSD(Solid State Drive)、フラッシュメモリ(SD(Secure Digital)メモリーカード)等各種の記録媒体により実現される。
 以上が、ユーザ端末300の構成である。
The storage unit 340 has a function of storing various programs, data, and parameters necessary for the user terminal 300 to operate. Specifically, for example, the storage unit 340 stores user identification information and parameters necessary for operations of the communication unit 310, the control unit 320, the display unit 330, and the storage unit 340. The storage unit 250 is typically realized by various recording media such as an HDD (Hard Disc Drive), an SSD (Solid State Drive), and a flash memory (SD (Secure Digital) memory card).
The above is the configuration of the user terminal 300.
 図3は、健康モニタリングシステム500の概観の一例を模式的に示す図である。当該例は、測定装置200を洋式便器に設置して健康モニタリングシステムを用いた一例である。なお、便器の形式は、洋式便器に限定されず、和式便器等でも、洗浄・排水用の溜水のある便器であればどの様な形式の便器に用いてもよい。図3に示すように、測定装置200の溜水および排尿含有水に係る情報を測定する一部(例えば、測定部210)は便器のボウル内に溜水に浸漬する機器に設置し、溜水に浸漬する必要がない他の部(例えば、ユーザ識別部220、制御部230、通信部240)は別の機器に配置して、例えば、当該機器はタンクに備え付けるよう設置してもよい。また、ユーザ識別部220が配置される機器は、使用者の保有するユーザ端末300の出力するQRコード情報およびICカードが出力する情報を当該機器が読み取れるよう、ユーザ端末300等がかざせる位置に配置できる機器とするのが好ましい。これにより、使用者が使用ごとに測定装置200にユーザ識別情報を使用都度入力することなく、使用者を識別した上で測定することができる。 FIG. 3 is a diagram schematically illustrating an example of an overview of the health monitoring system 500. This example is an example in which the measurement apparatus 200 is installed in a Western-style toilet and a health monitoring system is used. The type of toilet bowl is not limited to a western style toilet bowl, and a Japanese style toilet bowl or the like may be used for any type of toilet bowl as long as the toilet bowl has water for washing and drainage. As shown in FIG. 3, a part (for example, the measurement unit 210) that measures information related to the stored water and urine-containing water of the measuring device 200 is installed in a device immersed in the stored water in the bowl of the toilet bowl. Other parts (for example, the user identification unit 220, the control unit 230, and the communication unit 240) that do not need to be immersed in the device may be arranged in another device, and for example, the device may be installed to be installed in the tank. In addition, the device in which the user identification unit 220 is arranged is located at a position where the user terminal 300 or the like is placed so that the device can read the QR code information output from the user terminal 300 owned by the user and the information output from the IC card. It is preferable that the device be arranged. Thereby, it is possible to perform measurement after identifying the user without inputting user identification information to the measuring apparatus 200 every time the user uses it.
 次に、以下、測定装置200を構成する測定部210の内部構造について説明する。
<実施形態1>
 図5は、実施形態1に係る測定部210の内部構造の一例を模式的に示す図である。具体的には、図5は、測定部210を構成する撮影部212のフィルムに係る構造の例を示すものである。図5に示すように、撮影部212は、フィルムを一方のリールから張架して他方のリールに巻き取る二つのリールを含み、測定の開始都度または測定の終了都度の自動でリールを回転させることで前記フィルムを排尿が流れ込んだ溜水に順次送り出して浸漬させることができる。
Next, the internal structure of the measuring unit 210 constituting the measuring apparatus 200 will be described below.
<Embodiment 1>
FIG. 5 is a diagram schematically illustrating an example of the internal structure of the measurement unit 210 according to the first embodiment. Specifically, FIG. 5 shows an example of the structure relating to the film of the photographing unit 212 constituting the measuring unit 210. As shown in FIG. 5, the photographing unit 212 includes two reels that stretch a film from one reel and wind it around the other reel, and automatically rotate the reel at every measurement start or every measurement end. In this way, the film can be sequentially sent out and stored in the stored water in which urine flows.
 具体的には、撮影部212のフィルムは、ロールタイプの例として、未使用のフィルム30aが巻き取られたリール10aと、使用済みのフィルム30aを巻き取るリール20aを測定部210内に配置し、リール20bからフィルム30aを張架してリール20aに巻き取っていくことで、溜水または排尿含有水に順次フィルム30aを送り出して浸漬させる。撮影部212は、当該浸漬させたフィルムに載せた試薬を呈色反応させていき、撮影部212の撮影手段(不図示)にて当該反応を撮影する。また、図5に示す当該ロールタイプの例以外にも、ストリップタイプの例として、一枚ずつフィルムを取り出して、溜水または排尿含有水に順次浸漬して、フィルムに載せた試薬を呈色反応させてもよい。これにより、使用者は測定都度フィルムを交換する必要がなく、交換の手間を省くことができるため、使い勝手のよい測定装置200を提供することができる。 Specifically, as the film of the photographing unit 212, as an example of a roll type, a reel 10a on which an unused film 30a is wound and a reel 20a on which a used film 30a is wound are arranged in a measuring unit 210. Then, the film 30a is stretched from the reel 20b and wound around the reel 20a, so that the film 30a is sequentially sent and immersed in the stored water or urine-containing water. The photographing unit 212 causes a color reaction of the reagent placed on the immersed film, and photographs the reaction by photographing means (not shown) of the photographing unit 212. In addition to the roll type example shown in FIG. 5, as an example of the strip type, the film is taken out one by one and immersed in water or urine-containing water sequentially, and the reagent placed on the film is subjected to a color reaction. You may let them. Thus, the user does not need to change the film every measurement and can save time and effort, so that the measuring device 200 that is easy to use can be provided.
<実施形態2>
 図6は、実施形態2に係る測定部210の内部構造の一例を模式的に示す図である。測定部210は、図6に示すように、仕切り40bを基準に上部と下部の2層に分けて、仕切り40bから上部(使用済みのフィルムが巻き取られたリール20bの配置側)を廃棄部として、仕切り40bから下部(未使用のフィルムが巻き取られたリール10bの配置側)を使用部とすることもできる。廃棄部は、使用済みの水溶性のフィルムを便器内の溜水に溶解させることで廃棄するための格納スペースとして用いてもよい。
<Embodiment 2>
FIG. 6 is a diagram schematically illustrating an example of the internal structure of the measurement unit 210 according to the second embodiment. As shown in FIG. 6, the measuring unit 210 is divided into two layers, an upper part and a lower part, with the partition 40b as a reference, and the upper part (the side where the reel 20b on which the used film is wound) is disposed from the partition 40b. As a use part, the lower part (arrangement side of the reel 10b on which an unused film is wound) from the partition 40b can be used. The discard unit may be used as a storage space for discarding the used water-soluble film by dissolving it in the stored water in the toilet bowl.
 具体的には、例えば、使用済みのフィルムは、フラッシュした時(排尿等を水で流す便器の洗浄時に、測定部210の内に便器内の水が押し流れてきた時)に一部の水を廃棄部に入り込ませ、フラッシュの度に洗浄されることで廃棄してもよい。また、廃棄部は、使用済みのフィルムを格納するため、細菌が繁殖しにくい環境にする必要がある。このため、廃棄部は、具体的には、例えば、界面活性剤などの薬剤を含んでも殺菌または抗菌してもよいし、真空にして繁殖を防いでもよい。なお、フィルム30bとリール20aおよびリール10bの構成については、実施形態1に示すようにロールタイプとしてもよいし、リール10bのフィルムを全て使い終わった段階で、自動的に仕切り部40bを開けて上部の廃棄部に移動し格納を行い、その後、測定装置内に保有する未使用のフィルムが巻き取られたリール(不図示)を使用部のリール10bに配置することで、フィルムを新しくしていく自動カートリッジタイプとしてもよい。これにより、測定部210を長期間使用する際に、簡易に衛生状態を保って使用し続けることができる。 Specifically, for example, when a used film is flushed (when water in the toilet is pushed into the measuring unit 210 when the toilet is flushed with urine or the like), a part of the water is used. May be disposed of in the disposal unit and washed by each flushing. In addition, since the waste section stores the used film, it is necessary to create an environment in which bacteria do not easily propagate. Therefore, for example, the discarding unit may contain a chemical such as a surfactant, or may be sterilized or antibacterial, or may be evacuated to prevent breeding. The configuration of the film 30b, the reel 20a, and the reel 10b may be a roll type as shown in the first embodiment, or the partition 40b is automatically opened when all the films on the reel 10b are used up. Move to the upper disposal section, store it, and then place a reel (not shown) on which unused film held in the measuring device is wound on the reel 10b of the used section to renew the film. It may be an automatic cartridge type. Thereby, when using the measurement part 210 for a long period of time, it can continue using it, maintaining a sanitary condition easily.
 次に、以下、撮影部212を構成するフィルムと当該フィルムに載せた試薬の構成について説明する。図7は、撮影部212を構成するフィルムと試薬の構成の一例を模式的に示す図である。図7に示すように、試薬の表面の保護のためのトップフィルム60と試薬を載せるための(試薬の支持体とするための)支持体フィルム80を用いて、トップフィルム60と支持体フィルム80で試薬を挟んで撮影部212を構成するフィルムを構成することができる。トップフィルム60は、(1)水溶性フィルムを用いて測定時にトップフィルム60を溶解させる、(2)トップフィルム60を剥がす機構を測定部210内に組み込み、測定直前に剥がすことが考えられる。(1)または(2)によって、測定直前まで試薬を保護し、試薬の劣化防止をすることができる。また、トップフィルム60を用いずに、(3)測定部210の未使用のフィルムが巻き取られたリールを機密性の高い空間に保存しておくことで、測定直前まで触れる空気量を極力減らすことで、試薬の劣化防止をすることもできる。 Next, the structure of the film constituting the photographing unit 212 and the reagent placed on the film will be described below. FIG. 7 is a diagram schematically illustrating an example of the configuration of the film and the reagent that constitute the imaging unit 212. As shown in FIG. 7, using a top film 60 for protecting the surface of the reagent and a support film 80 for placing the reagent (to make a support for the reagent), the top film 60 and the support film 80 Thus, a film constituting the photographing unit 212 can be formed with a reagent interposed therebetween. It is conceivable that the top film 60 (1) dissolves the top film 60 at the time of measurement using a water-soluble film, and (2) incorporates a mechanism for peeling the top film 60 into the measurement unit 210 and peels it immediately before the measurement. By (1) or (2), it is possible to protect the reagent until immediately before the measurement and prevent the reagent from being deteriorated. Further, without using the top film 60, (3) the amount of air touched immediately before the measurement is reduced as much as possible by storing the reel around which the unused film of the measuring unit 210 is wound in a highly confidential space. Thus, it is possible to prevent the deterioration of the reagent.
<データ>
 ここで、本実施の形態において、一例として、記憶部130に記憶される各種DBのデータ構成の例について図8を用いて説明する。なお、各種DBはそれぞれ、サーバ100の記憶部130を記憶先として限定せず、測定装置200の記憶部250でもよいし、ユーザ端末300の記憶部330でもよい。また、当該データ構成は、サーバ100の機能構成、処理内容等によって適宜変更してもいいことは言うまでもない。
<Data>
Here, in the present embodiment, as an example, an example of the data configuration of various DBs stored in the storage unit 130 will be described with reference to FIG. The various DBs are not limited to the storage unit 130 of the server 100 as a storage destination, and may be the storage unit 250 of the measurement device 200 or the storage unit 330 of the user terminal 300. Further, it goes without saying that the data configuration may be changed as appropriate according to the functional configuration of the server 100, processing contents, and the like.
 先ずトイレ情報DBは、便器に係る情報を保存するDBであり、例えば、一例として、便器型番、水量(溜水の水位、質量、体積等)、水温(溜水の水温情報)、洗浄済の有無、設置場所(緯度・経度情報、住所、建物名等)、使用開始時期(便器の使用開始時期)等の情報を含んで構成される。また、トイレ情報DBは、加えて、洗剤等の量情報または洗剤等の成分情報等のトイレ環境に関する情報(不図示)を含んで構成してもよい。トイレ情報DBは、便器単位でレコードを保持している。なお、便器型番に紐づく情報(例えば、便器のボウルの形状情報、便器の水量情報等)は、当該DBに保持してもよいし、当該DBに保持せず都度インターネット等のネットワークシステムを用いて検索して取得してもよい。 First, the toilet information DB is a DB for storing information related to the toilet. For example, as an example, a toilet model number, water amount (water level, mass, volume, etc.), water temperature (water temperature information of the stored water), and washed It includes information such as presence / absence, installation location (latitude / longitude information, address, building name, etc.), use start time (toilet use start time), and the like. In addition, the toilet information DB may be configured to include information (not shown) regarding the toilet environment, such as amount information of the detergent or the like, or component information of the detergent or the like. The toilet information DB holds a record for each toilet. Information associated with the toilet model number (for example, toilet bowl shape information, toilet water volume information, etc.) may be stored in the DB, or may be stored in the DB without using a network system such as the Internet. You may search and acquire.
 次に、閾値DBは、測定結果が陽性か陰性か、正常か異常か等の判断基準となる閾値を保存するDBであり、例えば、一例として、測定項目、測定項目ごとの閾値(絶対)(測定項目ごとの絶対的な指標としての基準値)、測定項目ごとの閾値(ユーザ毎)(測定項目ごとのユーザ毎のパーソナライズな指標としての基準値)等の情報を含んで構成される。 Next, the threshold value DB is a DB that stores a threshold value that is a criterion for determining whether the measurement result is positive or negative, normal or abnormal. For example, as an example, the threshold value (absolute) for each measurement item and measurement item (absolute) Reference information as an absolute index for each measurement item), threshold values for each measurement item (for each user) (reference values as a personalized index for each user for each measurement item), and the like.
 次に、測定・検査結果DBは、ユーザごとの測定結果および検査結果を保存するDBであり、例えば、一例として、ユーザID(ユーザ識別情報)、測定項目、測定値、検査項目、検査結果(分析結果、推測結果)、測定日時(年月日、時分秒)、検査日時(年月日、時分秒)等の情報を含んで構成される。 Next, the measurement / inspection result DB is a DB that stores measurement results and inspection results for each user. For example, as an example, a user ID (user identification information), measurement items, measurement values, inspection items, inspection results ( (Analysis result, estimation result), measurement date and time (year / month / day, hour / minute / second), and inspection date / time (year / month / day, hour / minute / second) are included.
 次に、辞書データDBは、辞書データを保存するDBであり、例えば、一例として、測定値、検査結果(分析結果、推測結果)等の情報を含んで構成される。当該辞書データDBは、機械学習におけるいわゆる教師データとして、測定値から作成された特徴ベクトルの識別を行う。なお、辞書データDBに保存する辞書データは、設定ファイルで定義、保存してもよい。設定ファイルを用いると、DBを用いるより、辞書データの読み込み、更新処理速度は向上すると考えられる。 Next, the dictionary data DB is a DB that stores dictionary data, and includes, for example, information such as measurement values, inspection results (analysis results, estimation results), and the like. The dictionary data DB identifies feature vectors created from measured values as so-called teacher data in machine learning. The dictionary data stored in the dictionary data DB may be defined and stored in a setting file. If the setting file is used, it is considered that the dictionary data reading and updating processing speed is improved as compared to using the DB.
 次に、ユーザDBは、ユーザを一意に識別するための情報を保存するDBであり、例えば、一例として、ユーザID(ユニークに付与された英数字の情報)、ユーザの氏名、性別、身長、体重、測定装置200によって計測された質量情報、ユーザに対応づけられた1以上の便器の便器ID等の情報を含んで構成される。
以上、各種DBのデータ構成である。
Next, the user DB is a DB that stores information for uniquely identifying a user. For example, as an example, a user ID (alphanumeric information uniquely assigned), a user's name, gender, height, It includes information such as body weight, mass information measured by the measuring device 200, toilet ID of one or more toilets associated with the user.
The data structure of various DBs has been described above.
 次に、健康モニタリングシステム500の測定・分析結果と疾病などの情報の対応付けのデータ構成例について図10を用いて説明する。図10は、当該対応付けを示すデータ概念図である。例えば、一例として、排尿中のアルブミン成分を入力情報として、イムノクロマト法を用いて撮影部212で当該入力情報によって試薬等に反応したフィルムの呈色反応による発色具合を測定し、当該発色具合より尿中のアルブミン濃度を分析し、当該分析結果について対応する閾値を超過しているか否か等判定する。当該判定結果により、使用者は糖尿病が陽性か陰性か推測する。 Next, an example of a data configuration for associating the measurement / analysis result of the health monitoring system 500 with information such as disease will be described with reference to FIG. FIG. 10 is a data conceptual diagram showing the association. For example, as an example, the albumin component in urination is used as input information, and the color development of the film reacted with the reagent or the like is measured by the input information using the immunochromatography method using the immunochromatography method. The albumin concentration is analyzed, and it is determined whether or not the corresponding threshold value is exceeded for the analysis result. Based on the determination result, the user estimates whether diabetes is positive or negative.
 <動作>
 図9は、健康モニタリングシステム500が実行する処理の一例を示すフローチャートである。
 記憶部130は、予め初期設定として、または、測定の都度、便器のボウルの形状情報、溜水の水量情報、溜水の水温情報を記憶する(ステップS11)。ユーザ識別部220は、ICカード、ユーザ端末300等を用いて使用者を識別する(ステップS12)。なお、当該ステップ後に、測定部212は、一旦、溜水の水温を測定してもよい(不図示)。照度センサ部213は、フィルム面の照度を測定する(ステップS13)。測定部210は、使用者から手動で制御部230に備える入力手段で測定開始が入力されたことを伝達された場合は、各測定を開始する(ステップS14)。なお、当該ステップは、電極部211、撮影部212、温度測定部214が測定開始を自動で行う場合は省略することができる。
<Operation>
FIG. 9 is a flowchart illustrating an example of processing executed by the health monitoring system 500.
The storage unit 130 stores the bowl bowl shape information, the amount of stored water information, and the temperature information of the stored water as an initial setting or every time measurement is performed (step S11). The user identification unit 220 identifies the user using the IC card, the user terminal 300, etc. (step S12). In addition, after the said step, the measurement part 212 may once measure the water temperature of a stored water (not shown). The illuminance sensor unit 213 measures the illuminance on the film surface (step S13). The measurement unit 210 starts each measurement when it is transmitted from the user that the measurement start is input manually by the input means provided in the control unit 230 (step S14). Note that this step can be omitted when the electrode unit 211, the imaging unit 212, and the temperature measurement unit 214 automatically start measurement.
 温度測定部214は、測定する温度が一定の閾値に達した際等に自動でまたは手動で測定が開始すると、溜水または排尿含有水の温度を測定し、水温情報を生成する(ステップS15)。電極部211は、測定する電位差が一定の閾値に達した際等に自動でまたは手動で測定が開始すると、電極間の電位差を測定し、電圧情報を生成する(ステップS16)。撮影部212は、自動でまたは手動で測定が開始すると、フィルムのサンプルパッド部分を排尿含有水に浸すようにフィルムを送り出し、テストラインおよびコントロールラインのRGB輝度信号をカメラ等の撮影手段で撮影する(ステップS17)。 When the measurement starts automatically or manually when the temperature to be measured reaches a certain threshold, the temperature measurement unit 214 measures the temperature of the stored water or urine-containing water and generates water temperature information (step S15). . When the measurement starts automatically or manually when the measured potential difference reaches a certain threshold, the electrode unit 211 measures the potential difference between the electrodes and generates voltage information (step S16). When the measurement is started automatically or manually, the photographing unit 212 sends out the film so that the sample pad portion of the film is immersed in the urine-containing water, and photographs the RGB luminance signals of the test line and the control line by photographing means such as a camera. (Step S17).
 温度測定部214は、測定する温度が一定の閾値に達した際等に自動で測定を終了し、電極部211は、測定する電位差が一定の閾値に達した際等に自動で測定を終了する(ステップS18)。 The temperature measuring unit 214 automatically ends the measurement when the temperature to be measured reaches a certain threshold value, and the electrode unit 211 automatically terminates the measurement when the potential difference to be measured reaches a certain threshold value. (Step S18).
 解析部121は、形状情報、水量情報、水温情報等に基づいて、測定部210の周囲を流れる流体をモデル化した流体モデルを用いて、 流体を解析して尿量を解析する(算出する)(ステップS19)。測定した値が電極法による分析の場合(ステップS20の電極法)、補正部122は、当該解析した尿量情報と、水量情報に基づいて希釈度合を算出し、当該希釈度合に基づいて電圧情報を補正する(ステップS21)。分析部123は、電圧情報(補正後)に基づいて、尿成分を分析する(ステップS22)。 The analysis unit 121 analyzes (calculates) the urine volume by analyzing the sputum fluid using the fluid model obtained by modeling the fluid flowing around the measurement unit 210 based on the shape information, the water amount information, the water temperature information, and the like. (Step S19). When the measured value is the analysis by the electrode method (the electrode method in step S20), the correction unit 122 calculates the dilution degree based on the analyzed urine volume information and the water volume information, and the voltage information based on the dilution degree. Is corrected (step S21). The analysis unit 123 analyzes the urine component based on the voltage information (after correction) (step S22).
 測定した値がイムノクロマト法による分析の場合(ステップS20のイムノクロマト法)、補正部122は、当該解析した尿量情報と、水量情報に基づいて希釈度合を算出し、当該希釈度合に基づいて、撮影情報を補正する(ステップS23)。なお、当該ステップにおいて、補正部122は、当該希釈度合に加え、照度情報に基づいて、撮影情報を補正してもよい。分析部123は、撮影情報(補正後)に基づいて、尿成分を分析する(ステップS24)。当分析部123は、当該分析結果に基づき特徴ベクトルを作成し、作成した特徴ベクトルを訓練データ(辞書データ)により識別する(ステップS25)。推測部124は、解析された排尿の排尿情報(例えば、分析された尿成分)に基づいて、使用者の疾病を推測する(ステップS26)。 When the measured value is the analysis by the immunochromatography method (the immunochromatography method of step S20), the correction unit 122 calculates the dilution level based on the analyzed urine volume information and the water volume information, and the imaging is performed based on the dilution level. The information is corrected (step S23). In this step, the correction unit 122 may correct the shooting information based on the illuminance information in addition to the dilution level. The analysis unit 123 analyzes the urine component based on the imaging information (after correction) (step S24). The analysis unit 123 creates a feature vector based on the analysis result, and identifies the created feature vector based on training data (dictionary data) (step S25). The estimation unit 124 estimates a user's disease based on the analyzed urination information (for example, analyzed urine component) (step S26).
<実施例1>
 以下に、実施例を挙げて本発明を更に具体的に説明するが、これらの実施例のみに限定されるものではない。
 図1等に示す健康モニタリングシステム500を用いて、尿成分として尿中の水素イオン濃度の分析を試みた。システムの仕様および試験条件は以下のとおりである。
<Example 1>
Hereinafter, the present invention will be described more specifically with reference to examples. However, the present invention is not limited to these examples.
Using the health monitoring system 500 shown in FIG. 1 and the like, an attempt was made to analyze the urinary hydrogen ion concentration as a urine component. The system specifications and test conditions are as follows.
(1)溜水および排尿含有水の温度の測定
 本実施例に係る健康モニタリングシステムにおいて、温度測定は、抵抗法(サーミスタ)によって測定した。
(2)電位差の測定
 本実施例に係る健康モニタリングシステムにおいて、電極法を用いて排尿含有水に浸漬した電極間を流れる電流の電位差を測定した。
(3)尿量の算出
 本実施例に係る健康モニタリングシステムにおいて、測定された溜水および排尿含有水の温度に基づいて、上述の数式(1)の回帰式を用いて、尿量を算出した。当該算出にあたって、本実施例においては、尿の温度を38[℃]で設定して算出した。
(4)希釈度合による電圧情報の補正
 本実施例に係る健康モニタリングシステムにおいて、上記(3)で算出した尿量に基づいて、上述の数式(2)を用いて、上記(2)で測定した電位差の値を補正した。
(5)pH値の分析
 本実施例に係る健康モニタリングシステムにおいて、上記(4)で補正した電位差の値に基づいて、上述の数式(3)を用いて、pH値を分析した。当該分析にあたって、αとeの値は、それぞれ0で設定して分析した。
(1) Measurement of temperature of stored water and urine-containing water In the health monitoring system according to the present example, temperature measurement was performed by a resistance method (thermistor).
(2) Measurement of potential difference In the health monitoring system according to this example, the potential difference of the current flowing between the electrodes immersed in urine-containing water was measured using the electrode method.
(3) Calculation of urine volume In the health monitoring system according to the present embodiment, the urine volume was calculated based on the measured temperature of the stored water and urine-containing water using the regression equation of the above formula (1). . In the calculation, in this example, the temperature of urine was set at 38 [° C.].
(4) Correction of voltage information based on the degree of dilution In the health monitoring system according to this example, based on the urine volume calculated in (3) above, measurement was performed in (2) above using Equation (2). The value of the potential difference was corrected.
(5) Analysis of pH Value In the health monitoring system according to the present example, based on the value of the potential difference corrected in the above (4), the pH value was analyzed using the above mathematical formula (3). In the analysis, the values of α and e were set to 0 and analyzed.
<実験方法>
 本実施例において行った実験方法は、以下のとおりである。
 この実験では人工尿を用いて、検体を調整したものを試験液とした。表1-1および表1-2に示すとおり、64通りの人工尿の尿流量、尿量およびpH値(水素イオン濃度(尿の酸性度であり、尿が酸性かアルカリ性かを示す)の値)の組合せ(ケース)を作成するよう、当該試験液に試薬をそれぞれ添加して混合後、本実施例の健康モニタリングシステムを取り付けた洋式トイレに自動ポンプを用いて、各ケース15回ずつ当該試験液の滴下を行い、本実施形態の健康モニタリングシステムでpH値の分析を行った。
<Experiment method>
The experimental method performed in the present example is as follows.
In this experiment, artificial urine was used to prepare a test sample. As shown in Table 1-1 and Table 1-2, 64 types of artificial urine flow rate, urine volume, and pH value (hydrogen ion concentration (the acidity of urine, indicating whether urine is acidic or alkaline)) ) To create a combination (case), each reagent is added to the test solution and mixed, and then the test is performed 15 times for each case using an automatic pump in a Western-style toilet equipped with the health monitoring system of this example. The solution was dropped and the pH value was analyzed by the health monitoring system of this embodiment.
Figure JPOXMLDOC01-appb-T000004
Figure JPOXMLDOC01-appb-T000004
Figure JPOXMLDOC01-appb-T000005
Figure JPOXMLDOC01-appb-T000005
<実験結果>
 図11は、実験結果の一例を示す図である。図11において、横軸は人工尿における調整したpH値であり、縦軸は本発明に係る健康モニタリングシステムが測定した尿のpH値の測定値である。単位は何れも[pH]である。当該グラフを見ると、上記調整値と上記測定値とは線形の特性を示しており、pH値が正しく算出されていることがわかる。近似値として、97.49[%]であった。当該実験結果から、本実施形態の尿成分の分析方法の有効性が実証された。
<Experimental result>
FIG. 11 is a diagram illustrating an example of experimental results. In FIG. 11, the horizontal axis is the adjusted pH value in artificial urine, and the vertical axis is the measured value of the urine pH value measured by the health monitoring system according to the present invention. All units are [pH]. From the graph, it can be seen that the adjusted value and the measured value show linear characteristics, and the pH value is correctly calculated. As an approximate value, it was 97.49 [%]. From the experimental results, the effectiveness of the urine component analysis method of the present embodiment was proved.
<実施例2>
 実施例1とは別の例として、以下に、実施例を挙げて本発明を更に具体的に説明するが、これらの実施例のみに限定されるものではない。
 図1等に示す健康モニタリングシステム500を用いて、尿成分として尿中のアルブミン濃度の分析を試みた。システムの仕様および試験条件は以下のとおりである。
(1)溜水および排尿含有水の温度の測定
 本実施例に係る健康モニタリングシステムにおいて、温度測定は、抵抗法(サーミスタ)によって測定した。
(2)呈色反応の撮影
 本実施例に係る健康モニタリングシステムにおいて、フィルムに載せた試薬に対し、イムノクロマト法を用いて尿中のアルブミンに呈色反応させて、当該反応具合を発色のRGB値をカメラにて撮影して読み取った。
(3)尿量の算出
 本実施例に係る健康モニタリングシステムにおいて、測定された溜水および排尿含有水の温度に基づいて、上述の数式(1)の回帰式を用いて、尿量を算出した。当該算出にあたって、本実施例においては、尿の温度を38[℃]で設定して算出した。
(4)希釈度合による撮影情報の補正
 本実施例に係る健康モニタリングシステムにおいて、上記(3)で算出した尿量に基づいて、上記(2)で読み取ったRGB値を補正した。
(5)アルブミン濃度の分析
 本実施例に係る健康モニタリングシステムにおいて、上記(4)で補正したRGBの値に基づいて、尿中のアルブミン濃度を分析した。
<Example 2>
As an example different from the first embodiment, the present invention will be described more specifically with reference to the following examples. However, the present invention is not limited to these examples.
Using the health monitoring system 500 shown in FIG. 1 etc., an attempt was made to analyze the concentration of albumin in urine as a urine component. The system specifications and test conditions are as follows.
(1) Measurement of temperature of stored water and urine-containing water In the health monitoring system according to the present example, temperature measurement was performed by a resistance method (thermistor).
(2) Photographing of color reaction In the health monitoring system according to the present example, the reagent placed on the film is subjected to a color reaction to albumin in urine using an immunochromatography method, and the reaction condition is expressed as an RGB value of color development. Was taken with a camera and read.
(3) Calculation of urine volume In the health monitoring system according to the present embodiment, the urine volume was calculated based on the measured temperature of the stored water and urine-containing water using the regression equation of the above formula (1). . In the calculation, in this example, the temperature of urine was set at 38 [° C.].
(4) Correction of photographing information based on degree of dilution In the health monitoring system according to the present embodiment, the RGB values read in (2) above were corrected based on the urine volume calculated in (3) above.
(5) Analysis of albumin concentration In the health monitoring system according to the present embodiment, the albumin concentration in urine was analyzed based on the RGB values corrected in (4) above.
<実験方法>
 本実施例において行った実験方法は、以下のとおりである。
 この実験では人工尿を用いて、検体を調整したものを試験液とした。表2-1および表2-2に示すとおり、64通りの尿流量、尿量およびアルブミン濃度(mg/L)の組合せ(ケース)を作成するよう、当該試験液に試薬をそれぞれ添加して混合後、本実施例の健康モニタリングシステムを取り付けた洋式トイレに自動ポンプを用いて、各ケース2回ずつ当該試験液の滴下を行い、本実施例の健康モニタリングシステムでアルブミン濃度の分析を行った。
<Experiment method>
The experimental method performed in the present example is as follows.
In this experiment, artificial urine was used to prepare a test sample. As shown in Table 2-1 and Table 2-2, reagents are added to the test solution and mixed to create 64 combinations (cases) of urine flow rate, urine volume, and albumin concentration (mg / L). Thereafter, the test solution was dropped twice in each case using an automatic pump in a Western-style toilet equipped with the health monitoring system of this example, and the albumin concentration was analyzed by the health monitoring system of this example.
Figure JPOXMLDOC01-appb-T000006
Figure JPOXMLDOC01-appb-T000006
Figure JPOXMLDOC01-appb-T000007
Figure JPOXMLDOC01-appb-T000007
<実験結果>
 図12は、実験結果の一例を示す図である。図12において、横軸は人工尿における調整したアルブミン濃度であり、縦軸は本発明に係る健康モニタリングシステムが測定した尿のアルブミン濃度の測定値である。単位は何れも[mg/L]である。当該グラフを見ると、上記調整値と上記測定値とは線形の特性を示しており、アルブミン濃度が正しく算出されていることがわかる。近似値として、97.01[%]であった。当該実験結果から、本実施形態の尿成分の分析方法の有効性が実証された。
<Experimental result>
FIG. 12 is a diagram illustrating an example of experimental results. In FIG. 12, the horizontal axis represents the adjusted albumin concentration in the artificial urine, and the vertical axis represents the measured value of the urine albumin concentration measured by the health monitoring system according to the present invention. All units are [mg / L]. From the graph, it can be seen that the adjusted value and the measured value show linear characteristics, and the albumin concentration is correctly calculated. As an approximate value, it was 97.01 [%]. From the experimental results, the effectiveness of the urine component analysis method of the present embodiment was proved.
<実施形態3>
 上記において、ユーザ識別部220が、ユーザを識別して、解析を行ってもよい旨を記載しているが、ここで、当該構成の詳細について説明する。上記実施形態において、複数の手法によるユーザ識別の例を示しているが、本実施形態においては、ユーザ識別部220は、ユーザ端末300との間で無線通信を行って、ユーザ識別を行うこととする。ところで、各家屋において設置されるように一つのトイレが一つの個室に設けられる場合もあれば、図13に示すように、複数のトイレが隣接して設けられる場合もある。図13に示すトイレの見取り図の例では、トイレ1300aと、トイレ1300bと、トイレ1300cとが、隣接する個室に設けられている例を示している。各トイレ1300a、1300b、1300cには、それぞれ、ユーザ識別部220a、220b、220cが設けられ、図示していないものの各便器内には対応する測定部221が設置される。このとき、ユーザを識別するにあたって、ユーザ識別部220は、定期的にビーコン信号を発信する。当該ビーコン信号を受信したユーザ端末300は、対応するユーザの情報を示すユーザIDを含む応答信号を送信する。そして、ユーザ識別部220は、当該応答信号を受信することによって、ユーザを識別する。
<Embodiment 3>
In the above description, it is described that the user identifying unit 220 may identify and analyze the user. Here, details of the configuration will be described. In the above embodiment, an example of user identification by a plurality of methods is shown, but in this embodiment, the user identification unit 220 performs wireless communication with the user terminal 300 to perform user identification. To do. By the way, one toilet may be provided in one private room so as to be installed in each house, or a plurality of toilets may be provided adjacent to each other as shown in FIG. In the example of the sketch of the toilet illustrated in FIG. 13, an example in which the toilet 1300a, the toilet 1300b, and the toilet 1300c are provided in adjacent private rooms is illustrated. Each toilet 1300a, 1300b, 1300c is provided with a user identification unit 220a, 220b, 220c, and a corresponding measurement unit 221 is installed in each toilet although not shown. At this time, when identifying the user, the user identifying unit 220 periodically transmits a beacon signal. The user terminal 300 that has received the beacon signal transmits a response signal including a user ID indicating the corresponding user information. Then, the user identification unit 220 identifies the user by receiving the response signal.
 しかしながら、この場合、複数のトイレが隣接しあう場合には、複数のユーザを検知して、対応する便器への排尿がどのユーザのものであるかを認識できない可能性がある。即ち、各ユーザ識別部220a、220b、220c各々がビーコン信号を発信する範囲が他のトイレに入室したユーザのユーザ端末300にまで送達され、隣の個室に入室したユーザのユーザ端末300から応答信号を受信してしまう可能性がある。 However, in this case, when a plurality of toilets are adjacent to each other, it may be impossible to detect a plurality of users and recognize which user urinates to the corresponding toilet. That is, the range in which each user identification unit 220a, 220b, 220c transmits a beacon signal is delivered to the user terminal 300 of the user who has entered the other toilet, and the response signal from the user terminal 300 of the user who has entered the next private room May be received.
 より具体的に説明すると、図14に示すように、ユーザ識別部220aから発信されたビーコン信号の到達範囲が、点線1302aで示される範囲内であるとする。同様に、ユーザ識別部220bから発信されたビーコン信号の到達範囲が、点線1302bで示される範囲内であり、ユーザ識別部220cから発信されたビーコン信号の到達範囲が、点線1302cで示される範囲内であるとする。このとき、例えば、あるユーザAが、トイレ1300aが設置されている個室に入室したとする。この場合、当該ユーザAのユーザ端末300aは、ユーザ識別部220aからのビーコン信号のみならず、ユーザ識別部220bからのビーコン信号をも受信して、応答信号を返信してしまう可能性がある。ところで、ユーザAがトイレ1300aの設置されている個室に居る状態で、ユーザBがトイレ1300bの設置されている個室に入室するとする。すると、ユーザBのユーザ端末300bは、ユーザ識別部220bからのビーコン信号のみならず、ユーザ識別部220aからのビーコン信号をも受信する可能性がある。そして、ユーザ端末300bは、ユーザ識別部220a及びユーザ識別部220bに対して応答信号を送信することとなる。そのため、ユーザ識別部220aは、ユーザAとユーザBとがトイレ1300aを使用しているユーザとして認識する可能性がある。同様に、ユーザ識別部220bもユーザAとユーザBとが、トイレ1300bを使用しているユーザとして認識する可能性がある。 More specifically, as shown in FIG. 14, it is assumed that the reach range of the beacon signal transmitted from the user identification unit 220a is within the range indicated by the dotted line 1302a. Similarly, the reach range of the beacon signal transmitted from the user identifying unit 220b is within the range indicated by the dotted line 1302b, and the reach range of the beacon signal transmitted from the user identifying unit 220c is within the range indicated by the dotted line 1302c. Suppose that At this time, for example, it is assumed that a certain user A enters a private room in which the toilet 1300a is installed. In this case, the user terminal 300a of the user A may receive not only the beacon signal from the user identification unit 220a but also the beacon signal from the user identification unit 220b and return a response signal. By the way, it is assumed that the user B enters the private room where the toilet 1300b is installed while the user A is in the private room where the toilet 1300a is installed. Then, the user terminal 300b of the user B may receive not only the beacon signal from the user identification unit 220b but also the beacon signal from the user identification unit 220a. Then, the user terminal 300b transmits a response signal to the user identification unit 220a and the user identification unit 220b. Therefore, the user identification part 220a may recognize that the user A and the user B are the users who are using the toilet 1300a. Similarly, the user identification unit 220b may be recognized by the user A and the user B as users who are using the toilet 1300b.
 そこで、本実施形態3においては、そのような可能性を低減し、測定された結果がどのユーザに対応するのかの誤認識が発生しにくいシステム構成について説明する。 Therefore, in the third embodiment, a system configuration in which such a possibility is reduced and erroneous recognition of which user the measured result corresponds to will be described.
 図14は、実施形態3に係る健康モニタリングシステムの構成例を示すブロック図である。以下、本実施形態に係る構成についてのみ説明するものとし、ここに示した態様以外の態様については、上記実施形態に示した内容に準拠するものとして説明を割愛する。図14に示すブロック図と、図2に示すブロック図とでは、ユーザ識別部220が、センサ部222を備える点にある。また、これに伴い、制御部230の動作も異なってくる。なお、ここでは、ユーザ識別部220が、センサ部222を備えることとしているが、これは、ユーザ識別部220以外の場所に設けられてもよく、センサ部222のセンシングした情報が、ユーザ識別部220に伝達される構成が実現できればよい。 FIG. 14 is a block diagram illustrating a configuration example of the health monitoring system according to the third embodiment. Hereinafter, only the configuration according to the present embodiment will be described, and aspects other than the aspects shown here will not be described as conforming to the contents shown in the above embodiments. In the block diagram illustrated in FIG. 14 and the block diagram illustrated in FIG. 2, the user identification unit 220 includes a sensor unit 222. Along with this, the operation of the control unit 230 also differs. Here, the user identification unit 220 includes the sensor unit 222. However, this may be provided in a place other than the user identification unit 220, and the information sensed by the sensor unit 222 is the user identification unit. What is necessary is just to be able to implement | achieve the structure transmitted to 220. FIG.
 一例として、実施形態3に係る健康モニタリングシステムは、便器から所定範囲内に使用者が進入したことを検知する検知部(センサ部222)と、便器から所定範囲内に存在する使用者が保持する通信機器と無線通信を行って、使用者を識別するための使用者情報を定期的に取得する取得部(ユーザ識別部221)と、使用者情報に基づいて使用者を特定する特定部(ユーザ識別部221)と、便器の使用者の排尿または排尿が流れ込んだ溜水の電位を測定する測定部(電極部211)と、測定部が測定した電位に基づいて使用者の尿成分を解析して排尿情報を生成する解析部(121)と、排尿情報に基づいて、使用者の疾病を推測する推測部(124)と、を備える。 As an example, the health monitoring system according to the third embodiment is held by a detection unit (sensor unit 222) that detects that a user has entered a predetermined range from the toilet and a user that exists within the predetermined range from the toilet. An acquisition unit (user identification unit 221) for periodically acquiring user information for identifying a user by performing wireless communication with a communication device, and a specifying unit (user) for identifying the user based on the user information An identification unit 221), a measurement unit (electrode unit 211) for measuring the urine of the toilet user or the accumulated water into which urination flows, and analyzing the urine component of the user based on the potential measured by the measurement unit An analysis unit (121) that generates urination information and an estimation unit (124) that estimates a user's disease based on the urination information.
 当該健康モニタリングシステムにおいて、特定部(ユーザ識別部220)は、特に、使用者の行動に基づいて、前記使用者を特定するものである。以下、実施形態3に係る主構成について説明し、上述した内容と重複する内容(電位の測定や疾病の推測など)については、割愛する。 In the health monitoring system, the specifying unit (user identification unit 220) specifies the user based on the action of the user. Hereinafter, the main configuration according to the third embodiment will be described, and contents that overlap the above-described contents (such as potential measurement and disease estimation) will be omitted.
 センサ部222は、トイレ内の各種の情報を取得する機能を有するセンサであり、1又は複数のセンサから構成されてよい。センサ部222は、例えば、超音波センサ、赤外線センサ、温度センサ、光センサなどにより実現することができる。例えば、超音波線センサを用いて、トイレの扉方向に超音波を発し、その反射波を検出するまでの時間を算出することで、超音波センサと扉との間の距離を測定することができる。したがって、扉を閉じている状態の距離を記憶しておくことで、超音波センサが検出している距離が記憶している距離と異なると、扉の開閉が行われたことを検出することができる。また、赤外線センサを用いることで、トイレ内へのユーザの進入、退出を検出することもできる。また、光センサを用いることで、例えば、トイレ内の明るさの変化を検出して、ユーザの進入、退出を検出することができる。したがって、センサ部222は、各トイレにおいて、ユーザがトイレを使用しているか否かの検出を行うことができる。センサ部222は、検出可能な検出範囲を設定することが可能であり、適宜、トイレの個室の形状に応じて、設定することとしてよい。また、センサ部222は、扉の開閉部に設けられて扉の開閉を検出可能な接触センサを含んでもよいし、トイレの便座に設けた圧力センサを含んでよい。扉の開閉の検出は、ユーザの進入、退出を検出することができるし、圧力センサは、ユーザの便座への着座、便座からの退座を検出することができる。また、同種のセンサを複数備えて、そのセンシングデータの信頼性を向上させることとしてもよい。 The sensor unit 222 is a sensor having a function of acquiring various types of information in the toilet, and may be composed of one or a plurality of sensors. The sensor unit 222 can be realized by, for example, an ultrasonic sensor, an infrared sensor, a temperature sensor, an optical sensor, or the like. For example, the distance between the ultrasonic sensor and the door can be measured by emitting an ultrasonic wave in the direction of the toilet door using an ultrasonic ray sensor and calculating the time until the reflected wave is detected. it can. Therefore, by storing the distance when the door is closed, it is possible to detect that the door has been opened and closed when the distance detected by the ultrasonic sensor is different from the stored distance. it can. In addition, by using an infrared sensor, it is possible to detect the entry and exit of the user into the toilet. In addition, by using an optical sensor, for example, a change in brightness in the toilet can be detected to detect entry and exit of the user. Therefore, the sensor unit 222 can detect whether or not the user is using the toilet in each toilet. The sensor unit 222 can set a detectable detection range, and may be set appropriately according to the shape of the private room of the toilet. Further, the sensor unit 222 may include a contact sensor that is provided in the door opening / closing unit and can detect opening / closing of the door, or may include a pressure sensor provided in the toilet seat of the toilet. The detection of the opening and closing of the door can detect the user's entry and exit, and the pressure sensor can detect the user's seating on and off the toilet seat. Moreover, it is good also as providing the multiple sensors of the same kind and improving the reliability of the sensing data.
 ユーザ識別部220は、適宜(例えば、1秒毎)、送信部242を介して、ビーコン信号を発信する機能を有する。当該ビーコン信号は、所定の形式の信号であって、ユーザ端末300に対して、ユーザ情報を要求する信号である。ここでいうユーザ情報は、ユーザ端末300を保持するユーザを一意に特定可能な情報のことであり、上述のユーザIDを指す。 The user identification unit 220 has a function of transmitting a beacon signal through the transmission unit 242 as appropriate (for example, every second). The beacon signal is a signal in a predetermined format, and is a signal for requesting user information from the user terminal 300. The user information here is information that can uniquely identify the user holding the user terminal 300, and indicates the above-described user ID.
 ユーザ識別部220は、適宜(例えば、1秒毎)、送信部242を介して、ビーコン信号を発信する。当該ビーコン信号は、ユーザ識別220から所定距離まで到達可能な無線信号である。図13に示すユーザ識別部220aの例でいえば、ユーザ識別部220aからの到達可能な範囲は、点線1302aの内側になる。ユーザ識別部220は、ビーコン信号を発信して、これに応じてユーザ端末300から発信された応答信号を、受信部241から伝達された場合に、当該応答信号に含まれるユーザ情報に基づいて、トイレを使用しているユーザを特定する。 The user identification unit 220 transmits a beacon signal via the transmission unit 242 as appropriate (for example, every second). The beacon signal is a radio signal that can reach a predetermined distance from the user identification 220. In the example of the user identification unit 220a shown in FIG. 13, the reachable range from the user identification unit 220a is inside the dotted line 1302a. When the user identification unit 220 transmits a beacon signal and a response signal transmitted from the user terminal 300 in response thereto is transmitted from the reception unit 241, based on the user information included in the response signal, Identify the user using the toilet.
 また、ユーザ識別部220は、複数のユーザを検出している場合に、センサ部222からのセンシングデータに基づいて、ユーザの行動を特定することで、ユーザを識別する。例えば、センサ部222がユーザを検知している状態で、二つのユーザ情報を認識しているとき、一方のユーザ情報を認識できなくなったときにセンサ部222がユーザを検知していれば、認識できている方のユーザ情報で示されるユーザが現在トイレを使用しているユーザとして特定することができる。ユーザがトイレを使用する場合、トイレの個室に近づく、トイレの扉を開く、トイレに進入する、トイレの扉を閉める、便座の用意をする、用を足す、後始末をする、トイレの扉を開く、トイレから退出するという手順を踏むことになり、それぞれの状況において、センサ部222からそれぞれの状態におけるセンシングデータの教師データを保持していれば、その教師データと、実際のセンシングデータと比較することにより、ユーザの行動を特定することができる。そして、ユーザ識別部220は、それらのユーザの行動の判断と、ユーザ端末300からの応答信号の受信状況とから、対応するトイレを使用しているユーザを特定する。 In addition, when a plurality of users are detected, the user identification unit 220 identifies the user by specifying the user's behavior based on the sensing data from the sensor unit 222. For example, when the sensor unit 222 is detecting a user and is recognizing two pieces of user information, if the sensor unit 222 is detecting a user when the user information cannot be recognized, the recognition is performed. The user indicated by the user information of the person who can do can be specified as the user who is currently using the toilet. When a user uses a toilet, he / she approaches the private room of the toilet, opens the toilet door, enters the toilet, closes the toilet door, prepares the toilet seat, adds use, cleans up the toilet door If the teacher data of the sensing data in each state is held from the sensor unit 222 in each situation, the teacher data is compared with the actual sensing data. By doing so, it is possible to specify the user's behavior. And the user identification part 220 specifies the user who is using the corresponding toilet from the judgment of those user's actions, and the reception status of the response signal from the user terminal 300.
 次にユーザ端末300の本実施形態3において必要となる構成について説明する。 Next, a configuration necessary for the user terminal 300 in the third embodiment will be described.
 通信部310の受信部311は、ユーザ識別部220からのビーコン信号を受信する機能を有する。受信部311は、受信したビーコン信号を、制御部320に伝達する。 The reception unit 311 of the communication unit 310 has a function of receiving a beacon signal from the user identification unit 220. The receiving unit 311 transmits the received beacon signal to the control unit 320.
 制御部320は、ユーザ識別部220からのビーコンを受信すると、ユーザ端末300の記憶部340に記憶されているユーザ情報を抽出し、抽出したユーザ情報を含む応答信号を生成する機能を有する。そして、制御部320は、生成した応答信号を、送信部312に、ユーザ識別部220(ビーコン信号を発信した機器)に宛てて返信させる機能を有する。 When receiving the beacon from the user identification unit 220, the control unit 320 has a function of extracting user information stored in the storage unit 340 of the user terminal 300 and generating a response signal including the extracted user information. The control unit 320 has a function of causing the transmission unit 312 to return the generated response signal to the user identification unit 220 (the device that transmitted the beacon signal).
 以上が、本実施形態3に係る測定装置200の構成と、ユーザ端末300の構成の説明である。 The above is the description of the configuration of the measurement apparatus 200 and the configuration of the user terminal 300 according to the third embodiment.
<動作>
 ここから、ユーザ識別部220によるユーザの行動に伴うユーザの特定処理を含む健康モニタリング処理について説明する。図15は、当該動作を示すフローチャートである。
<Operation>
From here, the health monitoring process including the user identification process accompanying the user's action by the user identification unit 220 will be described. FIG. 15 is a flowchart showing the operation.
 図15に示すように、測定装置200の受信部241は、送信部242から送信されたビーコン信号に応じてユーザ端末300から送信された応答信号を受信する(ステップS1501)。当該応答信号は、ユーザ端末300を保持するユーザを一意に特定するユーザIDを含む。受信部241は、受信した応答信号をユーザ識別部221に伝達する。 As illustrated in FIG. 15, the reception unit 241 of the measurement apparatus 200 receives the response signal transmitted from the user terminal 300 in response to the beacon signal transmitted from the transmission unit 242 (step S1501). The response signal includes a user ID that uniquely identifies the user holding the user terminal 300. The receiving unit 241 transmits the received response signal to the user identifying unit 221.
 ユーザ識別部220は、伝達された応答信号に含まれるユーザIDと、センサ部222から逐次伝達されるセンシングデータに基づいて検出できるユーザの行動とに基づいて、対応するトイレを使用しているユーザを特定する(ステップS1502)。なお、本処理の更なる詳細については、後述する。 The user identifying unit 220 uses the corresponding toilet based on the user ID included in the transmitted response signal and the user behavior that can be detected based on the sensing data sequentially transmitted from the sensor unit 222. Is identified (step S1502). Further details of this process will be described later.
 ユーザ識別部220がトイレを使用しているユーザを特定するとともに、測定部210は、溜水の解析を行う。即ち、まず、測定部210は、溜水の測定を行う(ステップS1503)。 The user identifying unit 220 identifies the user who is using the toilet, and the measuring unit 210 analyzes the stored water. That is, first, the measurement unit 210 measures stored water (step S1503).
 測定部210は、溜水の測定結果から液体情報を測定する(ステップS1504)。測定した液体情報は、特定したユーザ情報とともに、送信部242から送信され、受信部111において受信される。受信部111は、受信した液体情報を、制御部120に伝達する。 The measuring unit 210 measures liquid information from the measurement result of the stored water (step S1504). The measured liquid information is transmitted from the transmission unit 242 together with the specified user information, and is received by the reception unit 111. The receiving unit 111 transmits the received liquid information to the control unit 120.
 制御部120は、測定した液体情報に基づいて、ユーザの疾病を推測する(ステップS1505)。 The control unit 120 estimates a user's disease based on the measured liquid information (step S1505).
 なお、ステップS1503~S1505にかけてのユーザの疾病の推測方法の詳細は上述した通りである。 The details of the user's disease estimation method in steps S1503 to S1505 are as described above.
 そして、制御部120は、推測した疾病に関する情報を、液体情報と共に受信したユーザ情報で示されるユーザのユーザ端末300に推測した疾病に関する情報を、送信部112から送信する(ステップS1506)。これにより、ユーザ端末300の受信部311により、疾病に関する情報が受信され、表示部330に表示されることになる。したがって、ユーザは自身の排尿から、自身が罹患している可能性のある疾病を認識することができる。 And the control part 120 transmits the information regarding the estimated disease to the user terminal 300 of the user shown by the user information received with the liquid information from the transmission unit 112, the information regarding the estimated disease (step S1506). Thereby, the information regarding the disease is received by the receiving unit 311 of the user terminal 300 and displayed on the display unit 330. Therefore, the user can recognize from his / her urination a disease that he / she may have.
 サーバ100は、推測した疾病に関する情報を送信した後に、当該情報を対応するユーザのユーザIDに対応付けて、記憶部130に記憶する。当該記憶は、記憶部340においても成されてよい。これにより、ユーザに対して推測した疾病に関する情報を記憶し、ユーザの検診に役立てることができる。 After transmitting information on the estimated disease, the server 100 stores the information in the storage unit 130 in association with the user ID of the corresponding user. The storage may also be performed in the storage unit 340. Thereby, the information regarding the disease estimated with respect to the user can be memorize | stored and it can use for a user's medical examination.
 では、ここから、ユーザの特定処理の詳細について説明する。図16は、ユーザ識別部220によるユーザの特定に係る処理例を示すフローチャートである。 Now, the details of the user specific process will be described. FIG. 16 is a flowchart illustrating an example of processing related to user identification by the user identification unit 220.
 図16に示すように、ユーザ識別部220は、定期的(例えば、1秒毎)に、自装置から所定範囲内に存在する機器(ユーザ端末300)に宛てて、その機器を保持するユーザの情報を要求するビーコン信号を、送信部242から発信させる(ステップS1601)。なお、ビーコン信号は、以降の処理を実行中にも定期的に送信しているものとし、以降においては、ビーコン信号の送信については、省略する。 As illustrated in FIG. 16, the user identification unit 220 is periodically (for example, every second) addressed to a device (user terminal 300) existing within a predetermined range from the own device, and the user holding the device. A beacon signal for requesting information is transmitted from the transmission unit 242 (step S1601). It is assumed that the beacon signal is periodically transmitted even during the subsequent processing, and the transmission of the beacon signal is omitted in the following.
 受信部241は、定期的に発信したビーコン信号に対する応答信号を受信しているか否かを判定する(ステップS1602)。応答信号を受信していない場合には(ステップS1602のNO)、ステップS1601に戻る。応答信号を受信している場合には(ステップS1602のYES)、ユーザ識別部220は、応答信号に含まれるユーザ情報を抽出することで、トイレを使用する可能性のあるユーザを特定する。
 次に、ユーザ識別部220は、センサ部222からのセンシングデータに基づいて、対応するトイレが設置されている個室にユーザが進入して、用を足しているか否かを判定する(ステップS1603)。
The receiving unit 241 determines whether or not a response signal to the beacon signal transmitted periodically is received (step S1602). If no response signal has been received (NO in step S1602), the process returns to step S1601. When the response signal is received (YES in step S1602), the user identification unit 220 extracts a user information included in the response signal, thereby identifying a user who may use the toilet.
Next, based on the sensing data from the sensor unit 222, the user identification unit 220 determines whether or not the user has entered the private room where the corresponding toilet is installed and is using it (step S1603). .
 ユーザ端末300からの応答信号を一つだけ受信しており、かつ、センサ部220からのセンシングデータに基づいてユーザがトイレを使用していることを検知している場合に(ステップS1603のYES)、測定装置200は、ユーザの排尿を含む溜水の測定を行って、液体情報を取得する。そして、当該液体情報は、送信部242からサーバ100に送信されることによって、サーバ100において、ユーザの疾病を推測する処理が実行される(ステップS1604)。 When only one response signal is received from the user terminal 300 and it is detected that the user is using the toilet based on the sensing data from the sensor unit 220 (YES in step S1603) The measuring apparatus 200 measures the accumulated water including the user's urination and acquires the liquid information. Then, the liquid information is transmitted from the transmission unit 242 to the server 100, whereby the server 100 executes a process of estimating the user's disease (step S1604).
 そして、サーバ100から推測した疾病の情報が、送信部112を介して、ユーザ端末300に送信される(ステップS1605)。これにより、ユーザ端末300では、推測された疾病の情報が表示され、ユーザは、自身の疾病の可能性を認識することができる。 Then, the disease information estimated from the server 100 is transmitted to the user terminal 300 via the transmission unit 112 (step S1605). Thereby, in the user terminal 300, the information of the estimated disease is displayed, and the user can recognize the possibility of his own disease.
 一方、応答信号を受信している状態で、センサ部220からのセンシングデータに基づいて、ユーザが対応するトイレを使用していないと判定できる場合に(ステップS1603のNO)、測定装置200の受信部241は、定期的に送信しているビーコン信号に対する応答信号を受信しなくなったかを否かを判定する(ステップS1606)。応答信号を受信しなくなった場合には(ステップS1606のYES)、応答信号で示されるユーザは、対応するトイレを使用していないと判断し、疾病の推測処理を行うことなく、ステップS1601の処理に戻る。 On the other hand, when it can be determined that the user is not using the corresponding toilet based on the sensing data from the sensor unit 220 while receiving the response signal (NO in step S1603), the measurement device 200 receives the signal. The unit 241 determines whether or not it has received a response signal for the beacon signal that is periodically transmitted (step S1606). When the response signal is not received (YES in step S1606), the user indicated by the response signal determines that the corresponding toilet is not used, and the process of step S1601 is performed without performing the disease estimation process. Return to.
 応答信号を受信し続けている状態で、受信部241は、新たな応答信号を受信したか否かを判定する(ステップS1607)。ここでいう新たな応答信号とは、すでに受信している応答信号に含まれるユーザIDとは異なるユーザIDを含む応答信号のことを指す。新たな応答信号を受信していない場合には(ステップS1607のNO)、ステップS1606の処理に戻る。新たな応答信号を受信していた場合には(ステップS1607のYES)、ユーザ識別部220は、センサ部222からのセンシングデータに基づいて、ユーザがトイレを利用しているか否かを判定する(ステップS1608)。 In a state where the response signal is continuously received, the receiving unit 241 determines whether or not a new response signal has been received (step S1607). The new response signal here refers to a response signal including a user ID different from the user ID included in the already received response signal. If a new response signal has not been received (NO in step S1607), the process returns to step S1606. If a new response signal has been received (YES in step S1607), the user identification unit 220 determines whether the user is using the toilet based on the sensing data from the sensor unit 222 ( Step S1608).
 センサ部222からのセンシングデータに基づいて、ユーザがトイレを利用していないと判定した場合には(ステップS1608のNO)、ステップS1606の処理に戻る。 If it is determined that the user is not using the toilet based on the sensing data from the sensor unit 222 (NO in step S1608), the process returns to step S1606.
 以上のように、本実施形態3に係るユーザ識別部220は、トイレを利用しているユーザを特定するにあたって、隣接しているトイレを利用しているユーザとの混同が発生しないように、ユーザの行動情報に基づいてユーザの特定を行うことができる。したがって、無線によるユーザの確認を行った際に、複数のユーザからの応答信号を受信して、ご認識により、誤ったユーザのユーザ端末に対して、誤って測定情報(疾病の推測に関する情報)を送信する可能性を大きく低減することができる。 As described above, the user identifying unit 220 according to the third embodiment is configured so that the user who uses the toilet is not confused when the user who uses the toilet is specified. The user can be identified based on the behavior information. Therefore, when the user is confirmed by radio, response signals from a plurality of users are received, and upon recognition, the measurement information (information on disease estimation) is erroneously detected for the user terminal of the wrong user. Can be greatly reduced.
 なお、本実施形態3においては、ユーザ識別部220は、定期的にビーコン信号を発信することとしているが、これはその限りではない。例えば、ユーザ識別部220のセンサブ222が、ユーザを検知したタイミングで、ビーコン信号の発信を開始する。そして、センサ部222がユーザを検知しなくなったタイミングでビーコン信号の発信を停止する構成としてもよい。当該構成によれば、ユーザの識別が上記実施形態3に示した構成よりも若干遅れる可能性があるものの上記実施形態3に示した構成よりもユーザ識別部220の省電力化を実現できる。 In addition, in this Embodiment 3, although the user identification part 220 is supposed to transmit a beacon signal regularly, this is not the limitation. For example, transmission of a beacon signal is started at the timing when the sensor 222 of the user identification unit 220 detects the user. And it is good also as a structure which stops transmission of a beacon signal at the timing when the sensor part 222 stops detecting a user. According to the configuration, although the user identification may be slightly delayed from the configuration shown in the third embodiment, it is possible to realize power saving of the user identification unit 220 as compared with the configuration shown in the third embodiment.
 また、上記実施形態3においては、ユーザ識別部220は、他のユーザ識別部220とは通信をする構成を開示していないが、ユーザ識別部220は、他のユーザ識別部220と通信可能に構成されていてもよい。そして、ユーザ識別部220は、ユーザ情報を受信した場合に、その情報を他のユーザ識別部に送信してもよい。また、このとき、センサ部222で検出できたセンシングデータも併せて、他のユーザ識別部に送信することとしてもよい。これにより、他のユーザ識別部が識別している情報を用いて、更に、ユーザの特定の精度を向上させることができる。 In Embodiment 3 described above, the user identification unit 220 does not disclose a configuration for communicating with other user identification units 220, but the user identification unit 220 can communicate with other user identification units 220. It may be configured. And the user identification part 220 may transmit the information to another user identification part, when user information is received. At this time, the sensing data that can be detected by the sensor unit 222 may also be transmitted to another user identification unit. Thereby, the specific accuracy of the user can be further improved by using the information identified by the other user identifying unit.
 例えば、ユーザ識別部220aが、ユーザ端末300aからの応答信号を受信しており、センサ部220aからのセンシングデータに基づいてユーザを識別できていない場合であって、ユーザ識別部220bが、ユーザ端末300aからの応答信号を受信しており、センサ部220bからのセンシングデータに基づいてユーザを識別できているとする。このとき、ユーザ識別部220aは、ユーザ識別部220bから、ユーザ端末300aからの応答信号を受信していること、並びに、ユーザを識別できていることを示す情報を受信することで、ユーザ識別部220aが対応するトイレを、ユーザ端末300aを保持しているユーザが利用していないと推測できる確度を向上させることができる。 For example, the user identification unit 220a receives a response signal from the user terminal 300a and cannot identify the user based on the sensing data from the sensor unit 220a, and the user identification unit 220b It is assumed that the response signal from 300a is received and the user can be identified based on the sensing data from the sensor unit 220b. At this time, the user identification unit 220a receives information indicating that the response signal from the user terminal 300a is received from the user identification unit 220b and that the user can be identified, and thereby the user identification unit 220a The accuracy with which it can be estimated that the user holding the user terminal 300a is not using the toilet corresponding to 220a can be improved.
(その他)
 本発明に係る健康モニタリングシステムは、医療機関等と連動して、遠隔医療の一環として利用することができる。例えば、記憶部130に記憶するユーザDBの中に各ユーザが係る医療機関、医師等の情報を記憶し、測定・検査結果DBの更新の際等に当該DBの測定値および検査結果データを上記医療機関等に送信し、医師等は、当該送信されたデータに基づいて、患者が自宅にいても遠隔から健康に関する診察、指導等を行うことができる。
(Other)
The health monitoring system according to the present invention can be used as part of telemedicine in conjunction with a medical institution or the like. For example, the user DB stored in the storage unit 130 stores information on medical institutions, doctors, and the like related to each user, and the measurement values and test result data of the DB are updated when the measurement / test result DB is updated. Based on the transmitted data, doctors and the like can remotely perform health examinations, guidance, and the like based on the transmitted data.
 さらに、本発明に係る健康モニタリングシステムは、同様に医師や薬剤師、製薬会社等による遠隔での投薬観察(処方した薬をのんでいるか)や薬物代謝チェック(処方された薬が効くかどうかのチェック)、薬局から健康状態や医師の処方に合わせて処方された薬を配達するサービスや遠くにいる家族の健康チェック等にも利用することもできる。本発明に係る健康モニタリングシステムは、製薬会社や健康保険組合のシステムと連携して、本発明に係る健康モニタリングシステムの記憶部130に記憶する測定・検査結果情報から生成した時系列のバイタルデータをデータマーケティング事業に利用することもできる。同様に、保険会社や健康保険組合のシステムと連携して、どうやったら医療費を削減できるかのシミュレーションにもバイタルデータを利用することができる。 In addition, the health monitoring system according to the present invention is similarly used by a doctor, a pharmacist, a pharmaceutical company, etc. to remotely monitor medication (whether the prescribed drug is applied) or check drug metabolism (check whether the prescribed drug is effective). ), Can also be used for services such as delivery of medicines prescribed by the pharmacy according to the health condition and doctor's prescription, health check of family members in the distance. The health monitoring system according to the present invention, in cooperation with the system of a pharmaceutical company or health insurance association, generates time-series vital data generated from measurement / test result information stored in the storage unit 130 of the health monitoring system according to the present invention. It can also be used for data marketing business. Similarly, vital data can also be used to simulate how healthcare costs can be reduced in conjunction with insurance company and health insurance association systems.
 また、当該生成したバイタルデータと、健康モニタリングシステムと連携するウェアラブル機器で記録される日々のライフログを結びつけることによって、より個別具体的な健康および美容アドバイスを提供するサービスに利用することも出来る。また、バイタルデータとライフログを結びつけることで、例えば、どういう健康状態の人間がどういう生活していくのかのモデリングにも利用することができる。 Also, by combining the generated vital data with daily life logs recorded by wearable devices linked to the health monitoring system, it can be used for services that provide more specific health and beauty advice. In addition, by linking vital data and life logs, it can be used for modeling what kind of health a person will live in.
 例えば、食事に関するライフログと結び付ける場合、バイタルデータから足りない栄養素等を抽出し、抽出した栄養素をユーザ端末300の表示部330に表示し、また、当該抽出した栄養素に基づいて食事メニュー(摂取すべき野菜など食材情報も含め)およびサプリメントをユーザ端末300の表示部330に表示し提案することもできる。同様に、バイタルデータをタイプ分けして、当該タイプごとに身体に不足する栄養素を補うサプリメントを提案することもできる。当該サービスの提供対象は、一般家庭や個人に留まらず、例えばアスリート等の健康管理にも適用することができる。美容面でも同様に、パーソナライズドされた化粧品を、特に、肌や髪にトラブルがあると予想される使用者に対して提案することもできる。 For example, when linking to a life log relating to a meal, a missing nutrient or the like is extracted from vital data, the extracted nutrient is displayed on the display unit 330 of the user terminal 300, and a meal menu (ingested based on the extracted nutrient is also displayed. Food ingredients such as vegetables to be included) and supplements may be displayed on the display unit 330 of the user terminal 300 and suggested. Similarly, vital data can be classified into types, and supplements for supplementing nutrients that are deficient in the body can be proposed for each type. The service can be applied not only to general households and individuals but also to health management such as athletes. Similarly, in terms of beauty, personalized cosmetics can be proposed especially to users who are expected to have problems with their skin and hair.
 また、本発明に係る健康モニタリングシステムは、バイタルデータとライフログに加え、ゲノム解析結果を結び付けて、例えば、どういうゲノムの人間がどういう健康状態で生活していくのかのモデリングにも利用することができる。 In addition, the health monitoring system according to the present invention can be used for modeling, for example, what kind of genome human beings live in what kind of health state by linking genome analysis results in addition to vital data and life logs. it can.
 さらに、これらのモデリング情報は、当該モデリングによって予想した健康状態の情報を保険会社等に提供し、保険会社等は当該予想情報に基づき、加入可否や保険料などを検討、決定する際の情報として利用することができる。 Furthermore, these modeling information provides insurance companies with information on their health condition predicted by the modeling, and the insurance companies, etc. as information when considering and determining enrollment and insurance premiums based on the forecast information Can be used.
 サーバ100、測定装置200およびユーザ端末300の各機能部は、集積回路(IC(Integrated Circuit)チップ、LSI(Large Scale Integration))等に形成された論理回路(ハードウェア)や専用回路によって実現してもよいし、CPU(Central Processing Unit)およびメモリを用いてソフトウェアによって実現してもよい。また、各機能部は、1または複数の集積回路により実現されてよく、複数の機能部の機能を1つの集積回路により実現されることとしてもよい。LSIは、集積度の違いにより、VLSI、スーパーLSI、ウルトラLSIなどと呼称されることもある。なお、ここで「回路」は、コンピュータによるデジタル処理、すなわち、ソフトウェアによる機能的処理としての意味合いを含んでもよい。また、当該回路は、再構築可能な回路(例えば、FPGA:Field Programmable Gate Array)により実現されてもよい。 Each functional unit of the server 100, the measuring apparatus 200, and the user terminal 300 is realized by a logic circuit (hardware) or a dedicated circuit formed in an integrated circuit (IC (Integrated Circuit) chip, LSI (Large Scale Integration)) or the like. Alternatively, it may be realized by software using a CPU (Central Processing Unit) and a memory. Each functional unit may be realized by one or a plurality of integrated circuits, and the functions of the plurality of functional units may be realized by a single integrated circuit. An LSI may be called a VLSI, a super LSI, an ultra LSI, or the like depending on the degree of integration. Here, the “circuit” may include the meaning of digital processing by a computer, that is, functional processing by software. In addition, the circuit may be realized by a reconfigurable circuit (for example, FPGA: Field Programmable Gate Gate Array).
 サーバ100、測定装置200およびユーザ端末300の各機能部をソフトウェアにより実現する場合、サーバ100、測定装置200またはユーザ端末300の各機能部は、各機能を実現するソフトウェアである表示情報生成プログラムの命令を実行するCPU、上記健康モニタリングプログラムおよび各種データがコンピュータ(またはCPU)で読み取り可能に記録されたROM(Read Only Memory)または記憶装置(これらを「記録媒体」と称する)、上記健康モニタリングプログラムを展開するRAM(Random Access Memory)などを備えている。そして、コンピュータ(またはCPU)が上記健康モニタリングプログラムを上記記録媒体から読み取って実行することにより、本発明の目的が達成される。上記記録媒体としては、「一時的でない有形の媒体」、例えば、テープ、ディスク、カード、半導体メモリ、プログラマブルな論理回路などを用いることができる。また、上記健康モニタリングプログラムは、当該健康モニタリングプログラムを伝送可能な任意の伝送媒体(通信ネットワークや放送波等)を介して上記コンピュータに供給されてもよい。本発明は、上記健康モニタリングプログラムが電子的な伝送によって具現化された、搬送波に埋め込まれたデータ信号の形態でも実現され得る。 When the function units of the server 100, the measurement device 200, and the user terminal 300 are realized by software, the function units of the server 100, the measurement device 200, or the user terminal 300 are included in a display information generation program that is software that realizes each function. CPU for executing instructions, health monitoring program and ROM (Read Only Memory) in which various data are recorded so as to be readable by a computer (or CPU) or storage device (these are referred to as “recording medium”), health monitoring program RAM (Random Access Memory) is available. Then, the computer (or CPU) reads the health monitoring program from the recording medium and executes it to achieve the object of the present invention. As the recording medium, a “non-temporary tangible medium” such as a tape, a disk, a card, a semiconductor memory, a programmable logic circuit, or the like can be used. The health monitoring program may be supplied to the computer via any transmission medium (such as a communication network or a broadcast wave) that can transmit the health monitoring program. The present invention can also be realized in the form of a data signal embedded in a carrier wave, in which the health monitoring program is embodied by electronic transmission.
 なお、上記健康モニタリングプログラムは、例えば、ActionScript、JavaScript(登録商標)などのスクリプト言語、Objective-C、Java(登録商標)などのオブジェクト指向プログラミング言語、HTML5などのマークアップ言語などを用いて実装できる。 The health monitoring program can be implemented using, for example, a script language such as ActionScript or JavaScript (registered trademark), an object-oriented programming language such as Objective-C or Java (registered trademark), or a markup language such as HTML5. .
100 サーバ
110 通信部
120 制御部
130 記憶部
200 測定装置
210 測定部(測定装置)
220 ユーザ識別部(測定装置)
221 計測部
222 センサ部
230 制御部(測定装置)
240 通信部(測定装置)
250 記憶部(測定装置)
300 ユーザ端末
310 通信部(ユーザ端末)
320 制御部(ユーザ端末)
330 表示部(ユーザ端末)
340 記憶部(ユーザ端末)
100 Server 110 Communication Unit 120 Control Unit 130 Storage Unit 200 Measuring Device 210 Measuring Unit (Measuring Device)
220 User identification unit (measuring device)
221 Measuring unit 222 Sensor unit 230 Control unit (measuring device)
240 Communication unit (measuring device)
250 Storage unit (measuring device)
300 user terminal 310 communication unit (user terminal)
320 Control unit (user terminal)
330 Display unit (user terminal)
340 storage unit (user terminal)

Claims (11)

  1.  便器から所定範囲内に使用者が進入したことを検知する検知部と、
     前記便器から所定範囲内に存在する前記使用者が保持する通信機器と無線通信を行って、前記使用者を識別するための使用者情報を定期的に取得する取得部と、
     前記使用者情報に基づいて前記使用者を特定する特定部と、
     前記便器の使用者の排尿または前記排尿が流れ込んだ溜水の電位を測定する測定部と、
     前記測定部が測定した電位に基づいて前記使用者の尿成分を解析して排尿情報を生成する解析部と、
     前記排尿情報に基づいて、前記使用者の疾病を推測する推測部と、
     を備える健康モニタリングシステム。
    A detection unit for detecting that a user has entered the toilet from the toilet;
    An acquisition unit for periodically acquiring user information for identifying the user by performing wireless communication with a communication device held by the user existing within a predetermined range from the toilet;
    A specifying unit for specifying the user based on the user information;
    A measurement unit for measuring the urination of the user of the toilet or the potential of the accumulated water into which the urination flows;
    An analysis unit that generates urination information by analyzing the urine component of the user based on the potential measured by the measurement unit;
    Based on the urination information, an estimation unit that estimates the user's disease;
    Health monitoring system with
  2.  前記特定部は、更に、前記使用者の行動に基づいて、前記使用者を特定する
     ことを特徴とする請求項1記載の健康モニタリングシステム。
    The health monitoring system according to claim 1, wherein the specifying unit further specifies the user based on the behavior of the user.
  3.  前記特定部は、使用者が前記便器が設置されている個室に進入してから、退出するまでの行動に基づいて、当該使用者を特定する
     ことを特徴とする請求項2記載の健康モニタリングシステム。
    The health monitoring system according to claim 2, wherein the specifying unit specifies the user based on an action from when the user enters the private room in which the toilet is installed to when the user leaves the room. .
  4.  前記取得部は、定期的に
     前記特定部は、前記検知部が使用者が所定範囲内に進入したことを検知してから、前記使用者を検知しなくなるまでの間に、前記取得部が取得し続けていた使用者情報に対応する使用者を、前記便器の使用者として特定する
     ことを特徴とする請求項3記載の健康モニタリングシステム。
    The acquisition unit periodically acquires the acquisition unit from the time when the detection unit detects that the user has entered the predetermined range until the detection of the user stops. The health monitoring system according to claim 3, wherein a user corresponding to the user information that has been continued is identified as a user of the toilet.
  5.  前記検知部は、前記使用者が前記便座に着座したことを検知する圧力センサを含み、
     前記特定部は、前記圧力センサが前記使用者が前記前座に着座していることを検知している間に、前記取得部が取得し続けていた使用者情報に対応する使用者を、前記便器の使用者として特定する
     ことを特徴とする請求項3記載の健康モニタリングシステム。
    The detection unit includes a pressure sensor that detects that the user is seated on the toilet seat,
    The specifying unit is configured to identify a user corresponding to user information that the acquisition unit has continuously acquired while the pressure sensor is detecting that the user is seated on the front seat. The health monitoring system according to claim 3, wherein the health monitoring system is specified as a user.
  6.  前記検知部は、前記便器が設置されている個室に対して設けられる扉の開閉を検知する開閉検知センサを含み、
     前記特定部は、前記開閉検知センサが前記扉の開閉を2度検知している間に、前記取得部が取得し続けていた使用者情報に対応する使用者を、前記便器の使用者として特定する
     ことを特徴とする請求項3記載のモニタリングシステム。
    The detection unit includes an opening / closing detection sensor for detecting opening / closing of a door provided for a private room in which the toilet is installed,
    The specifying unit specifies the user corresponding to the user information that the acquisition unit has continuously acquired as the user of the toilet while the open / close detection sensor detects the opening / closing of the door twice. The monitoring system according to claim 3.
  7.  前記健康モニタリングシステムは、更に、
     前記使用者毎に、当該使用者が前記便器が設置されている個室に進入してから、退出するまでの行動内容を示す行動情報を記憶する記憶部を備え、
     前記特定部は、使用者が前記便器が設置されている個室に進入してから、退出するまでの行動と、前記記憶部に示される行動情報とを比較することで、当該使用者を特定する
     ことを特徴とする請求項3記載の健康モニタリングシステム。
    The health monitoring system further comprises:
    For each user, a storage unit is provided for storing action information indicating action contents from when the user enters the private room in which the toilet is installed until the user leaves.
    The identification unit identifies the user by comparing the behavior from when the user enters the private room in which the toilet is installed to when the user exits the behavior information indicated in the storage unit. The health monitoring system according to claim 3.
  8.  前記特定部は、使用者が前記便器が設置されている個室に進入してから、退出するまでの行動と、当該便器が設置されている個室に隣接する他の個室に設置されている便器を使用する他の使用者の行動とに基づいて、前記使用者を特定する
     ことを特徴とする請求項1記載の健康モニタリングシステム。
    The specific unit includes a behavior from when the user enters the private room in which the toilet is installed to when the user exits, and a toilet installed in another private room adjacent to the private room in which the toilet is installed. The health monitoring system according to claim 1, wherein the user is specified based on behaviors of other users to be used.
  9.  前記健康モニタリングシステムは、さらに、
     前記記憶部に、前記使用者毎に、少なくとも前記液体情報、前記排尿情報、前記疾病のうちいずれか一つを対応付けて登録する登録部を備える
     ことを特徴とする請求項1記載の健康モニタリングシステム。
    The health monitoring system further includes:
    The health monitoring according to claim 1, wherein the storage unit includes a registration unit that registers and registers at least one of the liquid information, the urination information, and the disease for each user. system.
  10.  便器から所定範囲内に使用者が進入したことを検知する検知ステップと、
     前記便器から所定範囲内に存在する前記使用者が保持する通信機器と無線通信を行って、前記使用者を識別するための使用者情報を定期的に取得する取得ステップと、
     前記使用者情報に基づいて前記使用者を特定する特定ステップと、
     前記便器の使用者の排尿または前記排尿が流れ込んだ溜水の電位を測定する測定ステップと、
     前記測定ステップにおいて測定した電位に基づいて前記使用者の尿成分を解析して排尿情報を生成する解析ステップと、
     前記排尿情報に基づいて、前記使用者の疾病を推測する推測ステップと、
     を含む健康モニタリング方法。
    A detection step for detecting that a user has entered a predetermined range from the toilet;
    An acquisition step of periodically obtaining user information for identifying the user by performing wireless communication with a communication device held by the user existing within a predetermined range from the toilet;
    A specific step of identifying the user based on the user information;
    A measuring step of measuring the urination of the user of the toilet or the potential of the accumulated water into which the urination flows;
    An analysis step of generating urination information by analyzing the urine component of the user based on the potential measured in the measurement step;
    A guessing step of guessing the user's disease based on the urination information;
    Including health monitoring methods.
  11.  コンピュータに、
     便器から所定範囲内に使用者が進入したことを検知する検知機能と、
     前記便器から所定範囲内に存在する前記使用者が保持する通信機器と無線通信を行って、前記使用者を識別するための使用者情報を定期的に取得する取得機能と、
     前記使用者情報に基づいて前記使用者を特定する特定機能と、
     前記便器の使用者の排尿または前記排尿が流れ込んだ溜水の電位を測定する測定機能と、
     前記測定機能が測定した電位に基づいて前記使用者の尿成分を解析して排尿情報を生成する解析機能と、
     前記排尿情報に基づいて、前記使用者の疾病を推測する推測機能と、
     を実現させる健康モニタリングプログラムを記録した、コンピュータ読み取り可能な非一時記録媒体。
    On the computer,
    A detection function for detecting that a user has entered the toilet within a predetermined range;
    An acquisition function for periodically acquiring user information for identifying the user by performing wireless communication with a communication device held by the user within a predetermined range from the toilet;
    A specific function for identifying the user based on the user information;
    A measurement function for measuring the urination of the user of the toilet or the potential of the stored water into which the urination flows;
    An analysis function for generating urination information by analyzing the urine component of the user based on the potential measured by the measurement function;
    Based on the urination information, a guess function to guess the user's disease,
    A computer-readable non-temporary recording medium on which a health monitoring program is recorded.
PCT/JP2018/017473 2017-05-01 2018-05-01 Health monitoring system, health monitoring method and health monitoring program WO2018203565A1 (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005046468A (en) * 2003-07-31 2005-02-24 Advanced Medical Kk Biological data detecting system
JP2005168834A (en) * 2003-12-11 2005-06-30 Matsushita Electric Ind Co Ltd Bathroom health care system, control device and biological information obtaining device
JP2005168952A (en) * 2003-12-15 2005-06-30 Toto Ltd Toilet apparatus
US20050261605A1 (en) * 2002-10-18 2005-11-24 S.A.E. Afikim Computerized Dairy Management System System for monitoring the health of an individual and method for use thereof
JP6100447B1 (en) * 2015-12-28 2017-03-22 サイマックス株式会社 Health monitoring system, health monitoring method and health monitoring program

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050261605A1 (en) * 2002-10-18 2005-11-24 S.A.E. Afikim Computerized Dairy Management System System for monitoring the health of an individual and method for use thereof
JP2005046468A (en) * 2003-07-31 2005-02-24 Advanced Medical Kk Biological data detecting system
JP2005168834A (en) * 2003-12-11 2005-06-30 Matsushita Electric Ind Co Ltd Bathroom health care system, control device and biological information obtaining device
JP2005168952A (en) * 2003-12-15 2005-06-30 Toto Ltd Toilet apparatus
JP6100447B1 (en) * 2015-12-28 2017-03-22 サイマックス株式会社 Health monitoring system, health monitoring method and health monitoring program

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