JP2021025828A - Drinking management support system and drinking management support method - Google Patents

Abstract

To effectively support management of drinking for a drinking person in a method with little burden on the drinking person.SOLUTION: A drinking management support system acquires drinking history of the drinking person at the time of drinking and state estimating time which is the time estimating the state of a drinking person's body after the drinking person has taken a drink; stores an estimation model which is a model estimating the change in alcohol concentration in a body of the drinking person based on drinking history; estimates concentration of alcohol in the body of the drinking person at the state estimation time; generates a state estimation result which is information indicating the state of the body of the drinking person at the state estimation time based on the estimated alcohol concentration; acquires actual state information which is information indicating the state of the actual body of the drinking person at the state estimation time or at the time near the state estimation time; and updates the estimation model based on the drinking history, the state estimation result, and the actual state information.SELECTED DRAWING: Figure 3

Description

The present invention relates to a drinking management support system and a drinking management support method.

Patent Document 1 describes an alcohol concentration storage device configured for the purpose of calculating a predicted time such as a safe concentration and a maximum concentration according to individual differences. The alcohol concentration storage device registers the alcohol concentration in the number of cups drunk in advance according to the time, detects the current alcohol concentration when there is an opportunity to drink, and the registered concentration reaches the safe concentration. The safe concentration prediction time is calculated by subtracting the current timer value data from the timer value data at the time of operation, and the calculated safe concentration prediction time and the current concentration are displayed on the display unit.

Japanese Unexamined Patent Publication No. 6-34590

In recent years, the birthrate is declining and the population is aging, and various efforts are being made in organizations such as companies to achieve many results with a small labor force. In order to improve the work efficiency of employees, it is important to suppress the deterioration of the performance (job performance) that should be exhibited, that is, to suppress the presenteeism. The factors of presentity-ism include mental illness and poor physical condition, but it is not uncommon for performance deterioration due to drinking the day before to be a factor.

Here, at sites where mistakes are directly linked to serious accidents, such as vehicle driving operations, alcohol tests have been carried out before engaging in operations to ensure operational safety. However, if a problem is found during these inspections, it is necessary to remove the worker from work and secure another worker in a hurry, which is a burden on the employer. In addition, some kind of penalty will be imposed on workers who are removed from work. Such ex post facto alcohol testing is detrimental to both employers and workers.

As a method of suppressing excessive drinking, for example, a uniform approach such as suppressing or prohibiting the previous day's drinking can be considered. However, the processing capacity of alcohol ingested in the body varies greatly among individuals, and it is not always easy to establish an appropriate boundary for determining whether or not to suppress drinking. For example, if the standard is set according to the person with low alcohol tolerance, the preventive effect is large, but the standard is too strict for many people, and the measure is not convincing. Also, if the standards are loosened, there is a possibility that some people will have trouble working the next day even though they comply with the standards.

In the above-mentioned Patent Document 1, information such as a safe concentration prediction time and a current concentration is provided in consideration of an individual's alcohol processing ability, and the amount of alcohol consumed is suppressed. However, since it is necessary to perform the measurement with the alcohol concentration measuring instrument many times, the burden on the person is heavy, and it is not realistic to perform such measurement for each person in order to suppress the presentity ism.

The present invention has been made in view of such a background, and is a drinking management support system and a drinking management that can effectively support the drinking management of the drinker in a manner that reduces the burden on the drinker. The purpose is to provide a support method.

One of the present inventions for achieving the above object is a drinking management support system, which is a time for estimating the drinking history of a drinker at the time of drinking and the physical condition of the drinker after the drinker has drunk. The estimation model, which is a model for estimating the change in the alcohol concentration in the body of the drinker based on the drinking history, is stored, and the alcohol concentration in the body of the drinker at the state estimation time is stored. Estimate based on the estimation model, and based on the estimated alcohol concentration, generate a state estimation result which is information indicating the state of the drinker's body at the state estimation time, and generate a state estimation result of the state estimation time or the state estimation time. The actual state information which is the information indicating the actual state of the body of the drinker at a nearby time is acquired, and the estimation model is updated based on the drinking history, the state estimation result, and the actual state information.

In addition, the problems disclosed in the present application and the solutions thereof will be clarified by the column of the form for carrying out the invention and the drawings.

According to the present invention, it is possible to effectively support the management of drinking by a drinker in a manner that reduces the burden on the drinker.

It is a figure which shows the schematic structure of the drinking management support system of 1st Embodiment. This is an example of the hardware configuration of the information processing device used to configure the server device and the drinker device. It is a figure which shows the main function which a server device has. It is a figure which shows the main function which a drinker device has. It is a flowchart explaining the drinking information provision process. This is an example of the state estimation time input screen. This is an example of a drinking history input screen. This is an example of the state estimation result presentation screen. This is an example of the actual status input reception screen. This is an example of the change characteristics of the alcohol concentration in the body when drinking a glass of alcoholic beverage. It is a figure explaining an example of the classification method of the state of a drinker at the state estimation time. This is an example of the change characteristic of the alcohol concentration in the body when multiple alcoholic beverages are drunk. It is a figure which shows the main function which the server apparatus of 2nd Embodiment has. It is a flowchart explaining the drinking information provision process. This is an example of a drinking history input screen. It is a figure explaining the specific method of state estimation, and is the figure which shows the change characteristic of the alcohol concentration A (T). This is an example of intake history. It is a figure which shows the main function which the server apparatus of 3rd Embodiment has. This is an example of the physical condition related information reception screen. This is an example of a βc setting method. It is a figure explaining the process that alcohol ingested in the body is absorbed and decomposed. It is a figure explaining the process that alcohol ingested in the body is absorbed and decomposed, and is the figure which shows the change of the alcohol concentration in the body and acetaldehyde concentration in the body.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the following description, the same or similar configurations may be referred to in common to omit duplicate description.

[First Embodiment]
FIG. 1 shows a schematic configuration of an information processing system (hereinafter, referred to as “drinking management support system 1”) described as the first embodiment. As shown in the figure, the drinking management support system 1 includes a server device 10 and one or more drinker devices 20. Both the server device 10 and the drinker device 20 are configured by using an information processing device (computer), and are connected to each other so as to be able to communicate with each other via the communication network 5.

The server device 10 is realized, for example, by an information processing device provided in a data center, a cloud server provided by a cloud system, or the like. The drunk device 20 is a device operated by a person who uses the drunk management support system 1 (hereinafter referred to as a “drinker”) when drinking, and is, for example, a mobile information terminal such as a smartphone or tablet, a personal computer, or the like. is there. From the viewpoint of convenience, the drinker device 20 is excellent in portability and can be easily brought into a bar or the like, and the drinker can easily input and browse information when drinking. It is preferable that it is possible.

The drinking management support system 1 provides information for supporting the management of the drinking amount of the drinker. For example, the drunk management support system 1 is the state of the drinker's body at a time when a predetermined time has elapsed after drinking (hereinafter, referred to as "state estimated time") (hereinafter, referred to as "drinker's state"). Is estimated, and the result (hereinafter referred to as "state estimation result") is provided to the drinker.

FIG. 2 shows an example of the hardware configuration of the information processing device used for the configuration of the server device 10 and the drinker device 20. As shown in the figure, the illustrated information processing device 100 includes a processor 11, a main storage device 12, an auxiliary storage device 13, an input device 14, an output device 15, a communication device 16, and various sensors 17. These are connected so as to be able to communicate via a communication means such as a bus.

The processor 11 includes, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), and an FPGA (Field Programmable).
It is configured using a Gate Array), an ASIC (Application Specific Integrated Circuit), an AI (Artificial Intelligence) chip, and the like.

The main storage device 12 is a device that stores programs and data, and is, for example, a ROM (Read).
Only Memory), RAM (Random Access Memory), non-volatile memory (NVRAM (Non Volatile RAM)) and the like.

The auxiliary storage device 13 is, for example, a hard disk drive or an SSD (Solid State Drive).
), Optical storage devices (CD (Compact Disc), DVD (Digital Versatile Disc), etc.), storage systems, IC cards, SD cards, SD cards, optical recording media, and other recording media readers / writers, cloud server storage. Area etc. Programs and data can be read into the auxiliary storage device 13 via a reading device for a recording medium or a communication device 16. Programs and data stored (stored) in the auxiliary storage device 13 are read into the main storage device 12 at any time.

The input device 14 is an interface that receives input of information from the outside, and is, for example, a keyboard, a mouse, a touch panel, a smartphone, a tablet, a voice input device (microphone, etc.), and the like.

The output device 15 is an interface that outputs various information such as processing progress and processing results. The output device 15 is, for example, a display device (liquid crystal monitor, LCD (Liquid Crystal Display), etc.) that visualizes the above-mentioned various information, a device (audio output device (speaker, etc.)) that visualizes the above-mentioned various information, and the above. It is a device (printing device, etc.) that converts various information into characters.

The communication device 16 is a wired or wireless communication interface that realizes communication with other devices performed via the communication network 5. For example, various wireless communication modules, NICs (Network Interface Cards), and the like. USB module, serial communication module, etc.

The various sensors 17 are devices that acquire various information such as information about the drinker and environmental information around the drinker. For example, a photographing device (camera), a chemical sensor (alcohol sensor, acetaldehyde sensor, etc.), a biological sensor, etc. (Heart rate sensor, breathing sensor, odor sensor, etc.), environmental sensor (temperature sensor, humidity sensor, pressure sensor, etc.). The various sensors 17 are not necessarily limited to the above sensors, as long as they contribute to improving the estimation accuracy of the state of the drinker at the estimated time of the body.

For example, an operating system, a device driver, a file system, a DBMS (DataBase Management System), or the like may be introduced in the information processing device 100.

FIG. 3 shows the main functions of the server device 10. As shown in the figure, the server device 10 includes a storage unit 110, a state estimation time reception unit 120, a drinking history reception unit 130, a state estimation unit 140, an estimation result presentation unit 150, an actual state reception unit 160, and an estimation model update. Each function of the unit 170 is provided.

The server device 10 performs various types of information processing to support the drinker in drinking management by cooperating with the drinker device 20 via the communication network 5. In order to efficiently perform the above information processing, for example, the server device 10 may have a so-called Web3 hierarchical structure (a structure including a Web server, an application server, and a database server).

The storage unit 110 stores each information (data) of the state estimation time 111, the drinking history 112, the estimation model information 113, the state estimation result 114, the actual state 115, and the beverage information 116. The storage unit 110 stores such information as, for example, a database table provided by the DBMS or a file provided by the file system.

The state estimation time 111 is set to the above-mentioned state estimation time in association with the drinker's identifier (hereinafter, “drinker ID”). For example, when estimating the state of a drinker at 7:00 am on the day after drinking, information indicating 7:00 am on the next day is set at the state estimation time 111.

In the drinking history 112, the drinking history of the drinker (identifier of the alcoholic beverage (hereinafter referred to as the identifier of the alcoholic beverage)) is associated with the drinker ID and the information indicating the date and time when the drinker drank (hereinafter referred to as "drinking date and time"). , "Beverage ID") and information indicating the intake amount) are set.

In the estimation model information 113, a model for estimating the time change of the alcohol concentration in the body of the drinker (hereinafter, referred to as “estimation model”) is set in association with the drinker ID. The estimation model is managed for each drinker (managed in association with the drinker ID) and updated as needed.

In the state estimation result 114, the information indicating the above-mentioned state estimation result is managed in association with the information indicating the drinker ID and the drinking date and time.

The actual state 115 includes the actual physical condition of the drinker (degree of influence of drinking) at the estimated state time or a time near the estimated state time (predetermined time range before or after the estimated state time) received from the drinker. Information indicating (hereinafter, referred to as “actual state”) is set.

Beverage information 116 includes information indicating the alcohol content of each beverage that the drinker may drink (standard serving amount and alcohol concentration (content), etc. for each type of beverage).

The information stored in the storage unit 110 of the server device 10 (drinking history 112, estimation model information 113, state estimation result 114, actual state 115, beverage information 116, etc.) is shared within an organization such as a company. Effectively used among multiple users.

The state estimation time reception unit 120 shown in FIG. 3 cooperates with the drinker device 20 to receive input of the state estimation time from the drinker. The state estimation time received by the state estimation time reception unit 120 is stored in the storage unit 110 as the state estimation time 111.

The drinking history reception unit 130 receives the drinking history from the drinker in cooperation with the drinker device 20. The received drinking history is stored in the storage unit 110 as the drinking history 112.

The state estimation unit 140 estimates the state of the drinker at the state estimation time using the estimation model. The storage unit 110 stores the estimation result (state estimation result) as the state estimation result 114.

The estimation result presentation unit 150 presents information based on the state estimation result 114 to the drinker in cooperation with the drinker device 20.

The actual state reception unit 160 receives an input of the actual state from the drinker in cooperation with the drinker device 20. The actual state received by the actual state receiving unit 160 is stored in the storage unit 110 as the actual state 115.

The estimation model update unit 170 updates the estimation model based on the actual state 115, and updates the estimation model information 113 to the contents corresponding to the updated estimation model.

FIG. 4 shows the main functions of the drinker device 20. As shown in the figure, the drinker device 20 includes functions of a storage unit 210, an information input reception unit 220, an information output unit 230, and a communication processing unit 240. When the drinker device 20 is, for example, a smartphone, a tablet, or the like, the function of the drinker device 20 may be provided as application software (so-called "app") installed by downloading from a cloud server or the like. Good. The drinker device 20 may implement all or part of the functions realized in the server device 10. When the drinker device 20 has the function of the Web browser, the function of the drinker device 20 may be realized by software that operates in cooperation with the Web browser.

As shown in the figure, the storage unit 110 stores each information (data) of the input information 211, the output information 212, and the screen information 213. The storage unit 110 stores such information as, for example, a database table provided by the DBMS or a file provided by the file system.

The input information 211 includes various information (state estimated time, drinking history, actual state, etc.) received from the drinker. The output information 212 includes various types of information (information based on the state estimation result 114, etc.) presented to the drinker. The screen information 213 includes various information (screen configuration information and the like) related to the drinker interface used for accepting input of information from the drinker and presenting the information to the drinker. Information about the user interface may be provided from the server device 10 to the drinker device 20 or may be generated by the drinker device 20. Further, the server device 10 and the drinker device 20 may be linked to generate the server device 10.

The information input receiving unit 220 shown in FIG. 4 receives information input from a drinker via a user interface. The received information is stored by the storage unit 210 as input information 211. The information output unit 230 outputs various information (information based on the state estimation result 114, etc.) to the drinker via the user interface. The communication processing unit 240 communicates with the server device 10 and transmits information received from the drinker to the server device 10 and receives information (information based on the state estimation result 114, etc.) sent from the server device 10. ..

FIG. 5 is a flowchart illustrating a process (hereinafter, referred to as “drinking information providing process S500”) performed in the drunk management support system 1 when a drunk person drinks. Hereinafter, the drinking information providing process S500 will be described with reference to the figure. In the following description, it is assumed that the drinker device 20 is a smartphone.

First, the state estimation time reception unit 120 of the server device 10 receives the input of the state estimation time from the drinker in cooperation with the drinker device 20 (S511). The drinker inputs, for example, the wake-up time of the morning following the day of drinking as the estimated state time.

FIG. 6 shows a screen displayed on the output device 15 when the information input reception unit 220 of the drinker device 20 receives an input of the state estimation time from the drinker (hereinafter, referred to as “state estimation time input screen 600”). An example is shown. The state estimation time input screen 600 is displayed on the output device 15 as, for example, a pop-up screen.

When the drinker inputs the state estimation time in the state estimation time input field 611 and operates the setting button 612, the input state estimation time is transmitted to the server device 10. For example, the drinker sets the estimated state time before starting drinking.

Returning to FIG. 5, subsequently, the drinking history reception unit 130 of the server device 10 starts accepting the input of the drinking history from the drinker in cooperation with the drinker device 20 (S512). It should be noted that the reception of drinking information is repeated every time the drinker drinks (for example, orders) a new beverage until the drinker performs the termination operation.

FIG. 7 shows an example of a screen (hereinafter, referred to as “drinking history input screen 700”) displayed on an output device 15 (LCD or the like) when the drinking history reception unit 130 receives an input of a state estimation time from a drinker. Is shown. As shown in the figure, the drinking history input screen 700 is provided with an alcoholic beverage icon display field 71 and a drinking history registration field 72. In the alcoholic beverage icon display field 71, a plurality of icons 711 for allowing the drinker to select the type and amount of the beverage he / she drank are arranged side by side. The drinker selects the icon corresponding to the type and amount of the alcoholic beverage he / she drank from the alcoholic beverage icon display column 71, and drags and drops it into the drinking history registration column 72 to obtain the type of alcoholic beverage he / she drank. And the amount can be input to the drinker device 20.

Illustrations and letters indicating the types of alcoholic beverages are drawn on each icon. There are also different icons for the same beverage (for example, beer mugs, medium mugs, and small mugs), allowing drinkers to easily enter the type and amount of alcoholic beverages they drank. be able to. In the drinking history registration column 72, icons are lined up according to the type and amount of alcoholic beverages drunk by the drinker, so that the drinker can drink his / her own drinking status (amount of drinking, pace of drinking, etc.). Can be grasped visually and intuitively. Therefore, it is possible to encourage drinkers to refrain from excessive drinking.

As shown in the figure, on the drinking history input screen 700, the previous day status confirmation button 75 for displaying the previous day's drinking status and the total amount for displaying the total amount of drinking (alcohol amount) up to the present day are displayed. A quantity button 76 is provided. Drinkers can use these buttons to more reliably control their drinking. Further, the drinking history input screen 700 is provided with an end button 77 that is operated when the drinker notifies the drinking management support system 1 that he / she has finished drinking.

Returning to FIG. 5, the state estimation unit 140 of the server device 10 subsequently estimates the state of the drinker at the state estimation time using the estimation model (S513). The specific method of estimation will be described later.

Subsequently, the estimation result presentation unit 150 cooperates with the drinker device 20 to generate state estimation result presentation information based on the state estimation result 114 and present it to the drinker (displayed on the output device 15 (LCD or the like)). S514).

FIG. 8 shows a screen displayed on the output device 15 of the drinker device 20 when the estimation result presentation unit 150 presents the state estimation result presentation information to the drinker (hereinafter, referred to as “state estimation result presentation screen 800”. ) Is shown. As shown in the figure, the state estimation result presentation screen 800 is provided with an indicator 81, a guideline information 82, and a message display field 83. The length of the bar 811 of the indicator 81 indicates the state (physical condition) of the drinker at the estimated state time. The longer the bar 811, the worse the drinker's condition (deeper sickness). Normally, the length of the bar 811 becomes longer as the drinking progresses. The guideline information 82 is information that calls attention to the drinker so as not to deepen the sickness according to the length of the bar 811 of the indicator 81, such as “dangerous” or “likely to get a hangover”. In the message display field 83, advice information (recommended behavior, message to suppress deep drinking, etc.) to the drinker such as "Let's drink while eating" and "Let's finish soon" is displayed. By checking the indicator 81, the guideline information 82, and the message display field 83 at the time of drinking, the drinker can enjoy drinking while restraining the amount of drinking within a range that does not leave an influence on the next day.

Returning to FIG. 5, the drinking history reception unit 130 subsequently determines whether or not the drinker has finished drinking (S515). The drinking history reception unit 130 determines, for example, that the drinker has finished drinking when it detects that the end button 77 of the drinking history input screen 700 described above has been operated. When the drinking history reception unit 130 determines that the drinker has not finished drinking (S515: NO), the process returns to S512. On the other hand, when the drinking history reception unit 130 determines that the drinker has finished drinking (S515: YES), the process proceeds to S516.

In S516, the actual state reception unit 160 cooperates with the drinker device 20 to receive the input of the actual state from the drinker.

FIG. 9 shows an example of a screen (hereinafter referred to as “actual state input reception screen 900”) displayed on the output device 15 by the drinker device 20 when the actual state reception unit 160 receives an input of the actual state from the drinker. Is shown. As shown in the figure, the actual state input reception screen 900 is provided with a message display field 91, a state selection field 92, a degree input field 93, a previous day drinking status display field 94, a total amount button 95, and an OK button 96. ing.

In the message display field 91, a message prompting the drinker to input the actual state is displayed. The state selection column 92 corresponds to typical types of hangover conditions (“headache”, “dullness”, “nausea”, “loss of appetite”, “chest upset”, “others”, etc.). A plurality of buttons 922 are displayed. The drinker can easily input the actual state by operating the button 922. When the drinker operates the button 922 on which "Other" is displayed, the actual state reception unit 160 displays, for example, a free entry field, and the drinker writes the actual state in the displayed free entry field. You can enter it.

In the degree input field 93, an analog bar 931 indicating the degree of the actual state of the drinker is displayed. The drinker can easily input the degree of the actual state by operating the analog bar. In the previous day drinking status display column 94, the contents of the previous night's drinking by the drinker are displayed in icon format. When the drinker operates the total amount button 95, the amount of alcohol consumed on the previous day (alcohol amount) is visually displayed. The drinker can look back on the drinking situation of yesterday by looking at the icon of the drinking status display column 94 on the previous day and the total amount displayed, and can be used as a reference for the next drinking, for example.

When the drinker operates the OK button 96, the content set on the actual status input reception screen 900 is transmitted to the server device 10. The actual state reception unit 160 of the server device 10 stores the sent contents as the actual state 115.

Returning to FIG. 5, the estimation model update unit 170 updates the estimation model based on the actual state 115, and updates the estimation model information 113 to the contents corresponding to the updated estimation model (S517). By updating the estimation model (estimation model information 113), the estimation accuracy of the alcohol concentration at the state estimation time of each individual drinker is improved, and the indicator 81 in FIG. 8 displays a more accurate estimation result. become.

Subsequently, a specific method of state estimation performed by the state estimation unit 140 in S513 of FIG. 5 will be described.

FIG. 10 is an example of a change characteristic (time change) of an alcohol concentration in a person's blood or exhaled breath (hereinafter, referred to as “body alcohol concentration”) when a glass of a certain type of alcoholic beverage is drunk. The horizontal axis of the graph shown in the figure is the elapsed time from the time when drinking is started (hereinafter, referred to as “T0”). The vertical axis is the alcohol concentration in the body (hereinafter referred to as "A (T)").

Alcohol ingested by drinking alcohol is not absorbed into the body instantaneously, but is gradually absorbed over a certain period of time. The alcohol concentration A (T) in the body at time T can be approximately expressed by the following equation.
A (T) = α (T-T0) -g (T-T0) (0≤T <T1) ... Equation 1
Here, α is a parameter indicating the speed of absorption of alcohol into the body, g is an individual-specific parameter indicating the ability to recover from the effects of alcohol, and T1 is the time when the absorption of ingested alcohol ends. .. The alcohol concentration A (T) increased by drinking is decreased with a constant recovery ability g (graph shown by reference numeral 1014).

D1 shown in the figure is the alcohol concentration A (T) at time T1 in the case where alcohol is not decomposed in the human body and only alcohol is absorbed (graph shown by reference numeral 1011). D1 is proportional to the amount of alcohol ingested (D1 = α (T1-T0)), and for example, approximately "drinking amount (ml) x alcohol content (%)) / (833 x body weight W (kg)). "It can be expressed as. The amount of alcohol taken into the body is converted from the content of drinking by using, for example, beverage information 116.

When the rate of alcohol absorption is faster than the body's ability to process alcohol, the body alcohol concentration A (T) increases until time T1 (graph shown by reference numeral 1012) and reaches its maximum at time T1 (reference numeral 1013). .. After that, the alcohol concentration A (T) in the body decreases according to the following equation (reference numeral 1014).
A (T) = D1-g (T-T0) (until T where T ≧ T1 and A (T) = 0)
・ ・ ・ Equation 2
When T ≧ T1, α disappears from the equation. For example, if α is a smaller value, the increase in A (T) becomes gradual (reference numeral 1015 in FIG. 10), and after the absorption is completed. From the time after T2 (at this time, A (T) becomes the maximum value (reference numeral 1016)), the alcohol concentration A (T) in the body decreases as in the case of the larger α (FIG. 10). The graph indicated by reference numeral 1014).

The state estimation unit 140 estimates the state of the drinker based on Equation 2, that is, based on the value A (J) of A (T) at the state estimation time J. For example, if A (J) is a sufficiently low value (DS) or less, the state estimation unit 140 estimates that the influence of alcohol on the state of the drinker is sufficiently small, and A (J) is DS. If it is larger than, it is estimated that alcohol affects the condition of the drinker. For example, in the example of FIG. 10, when the time T is J1, the state estimation unit 140 estimates that alcohol has a non-negligible effect on the state of the drinker, while when the time T is J2, the alcohol is present. It is estimated that the effect on the condition of the drinker is small enough.

<Display method of state estimation result>
FIG. 11 is a diagram illustrating an example of a method in which the estimation result presenting unit 150 classifies the state of the drinker at the state estimation time in order to display the indicator 81 in S514 of FIG. This example is a case where the state of the drinker is classified into 6 (“no problem”, “state level 0” to “state level 4”).

In the figure, H [i] (i is an integer of 0 to 4) is a boundary value of each state level. "State level 0" is a state in which the influence is the lightest, and a state having a level lower than this is a state in which there is no problem (A (J) is DS or less). On the other hand, "state level 4" is the most serious condition (a condition in which a drinker cannot go to work). The estimation result presentation unit 150 determines which state level the estimated A (J) is included in, which is separated by H [i], and has a length corresponding to the state level, which is the bar 811 of the indicator 81 in FIG. Is displayed.

<How to update the estimation model>
Subsequently, a method of updating the estimation model performed by the estimation model updating unit 170 in S517 of FIG. 5 will be described.

First, the estimation model update unit 170 classifies the degree of the actual state input by the drinker by operating the analog bar 931 of FIG. 9 in S516 of FIG. 5 into any of the above-mentioned state levels, thereby causing the estimation model Obtain the parameter value (hereinafter referred to as S) used for updating. For example, in FIG. 11, when the degree of the actual state input by the drinker by operating the analog bar 931 is between H [i] + H [i + 1], the estimation model update unit 170 classifies the degree of the state. The midpoint value (= (H [i] + H [i + 1]) / 2) of the boundary values at both ends of the state level to be performed is set as the value of S above. For example, in FIG. 11, when the degree of the actual state input by the drinker by operating the analog bar 931 is the value indicated by the reference numeral 1211, the estimation model update unit 170 uses the value indicated by the reference numeral 1212 (= (H [1]. ] + H [2]) / 2) is the value of S.

Subsequently, the estimation model update unit 170 updates the parameter g representing the recovery ability to a new value g'based on the following equation.
g'= g-r {(SA (J)} / {(J-T0)} ... Equation 4
In the above equation, r is a count (1 ≧ r> 0) for adjusting the degree of update, and is set to 0.5, for example. The estimation model update unit 170 updates g in the estimation model information 113 to the updated g'to prepare for the next calculation.

In this way, the value of g is updated every time the drinker drinks. Here, it is difficult to grasp all the factors that influence the way the drinker gets drunk on the day. Moreover, since the actual state is information that the drinker subjectively inputs, it is unavoidable that certain ambiguities and fluctuations are included in the judgment criteria. However, according to the above g update method, the past g values are reflected in the form of a weighted average while diluting the influence, so the influence from factors that cannot be grasped and the influence of the subjective variation of the drinker are affected. As the number of times of drinking increases, it fades, and the estimation model is improved in the direction of increasing the estimation accuracy of the recovery ability of each drinker. It should be noted that Equation 4 does not include α, and g can be updated using S, which is a value based on the actual state input by the drinker. Therefore, it is possible to improve the estimation accuracy of the state of the drinker at the state estimation time without using a dedicated device such as an alcohol measuring instrument.

<Other input methods for drinking history>
In the above, the drinking history is input by the drinker using the drinking history input screen 700 shown in FIG. 7, but other methods may be used. For example, a store system provided in a restaurant is connected to a communication network 5, a server device 10 or a drinker device 20 communicates with the store system to acquire an order history, and the acquired order history is used to obtain a drinking history. It may be generated. In this case, the correspondence between the drinker ID and the order data may be performed by, for example, the drinker device 20 or the server device 10 communicating with the store system. By doing so, the drinking management support system 1 can surely acquire the drinking history of the drinker, and the drinker can easily use the drinking management support system 1 without the trouble of inputting. .. As another method to save labor in inputting the drinking history, a method of using a payment application installed in the drinker device 20, a method of taking a picture of an alcoholic beverage with a camera mounted in the drinker device 20, and so on. A method of automatically inputting a drinking history by image recognition is also conceivable.

<When drinking multiple cups>
In the above, the case of drinking one cup of alcoholic beverage has been described as an example, but in the actual drinking scene, multiple cups are often drunk. The handling when drinking a plurality of cups will be described below.

FIG. 12 is an example of the change characteristic of the alcohol concentration in the body when a plurality of alcoholic beverages are drunk. This example is the case where the drinker drinks the first cup at time T0 and then drinks the second cup at time T2 before the time T1 when the absorption of the first cup of alcohol ends. In this case, the change in the body alcohol concentration A (T) up to the time T1 is the same as the case where the total of the first and second cups is drunk at once (graph shown by reference numeral 1111). Further, when the time T2 of drinking the second cup is later than the absorption end time T1 of the first cup, the alcohol concentration A (T) in the body begins to decrease once after the absorption end time T1 of the first cup (reference numeral). 1112). However, when the second drink was drunk, the absorption of alcohol started again, and the alcohol concentration A (T) in the body rose again (graph shown by reference numeral 1113) from the time T3 when the absorption of alcohol in the second drink was completed. The alcohol concentration A (T) in the body starts to decrease again (graph shown by reference numeral 1114). This situation can be expressed by the following equation in which D1 of the above-mentioned equation 2 is replaced with the total amount of alcohol intake (D1 + D2) of the first and second cups.
A (T) = D1 + D2-g (T-T0) (until T where T ≧ T3 and A (T) = 0)
... Equation 3
The same applies to the handling when the drinker drinks the third or more cups.

As described in detail above, according to the drinking management support system 1 of the present embodiment, the drinking history of the drinking person is acquired by a method that is less burdensome for the drinking person, and information for promoting the suppression of the amount of drinking is provided to the drinking person. Can be provided to. In addition, since an estimation model adjusted for each drinker is generated, information suitable for each drinker (contents according to the constitution of the drinker, the mode of drinking, etc.) to support the drunk management of the drinker can be provided. Can be provided. In addition, since the above method does not require a dedicated device such as an alcohol concentration measuring device when inputting the drinking history or the actual state, the drinker can easily use the drinking management support system 1 under various circumstances. be able to. As described above, according to the drinking management support system 1 of the present embodiment, it is possible to effectively support the drinking management of the drinker in a manner that reduces the burden on the drinker.

[Second Embodiment]
The drinking management support system 1 of the first embodiment focuses on the alcoholic beverage ingested by the drinker and estimates the state of the drinker at the state estimation time. The drinking management support system 1 of the second embodiment considers the influence of foods other than alcoholic beverages (including non-alcoholic beverages) ingested by the drinker at the time of drinking or before starting drinking, and drinks at the estimated state time. Estimate the condition of a person. The basic configuration of the drinking management support system 1 of the second embodiment is the same as that of the drinking management support system 1 of the first embodiment. Hereinafter, the points different from those of the first embodiment will be mainly described.

FIG. 13 shows the main functions included in the server device 10 of the second embodiment. As shown in the figure, the storage unit 110 of the server device 10 of the second embodiment records the intake history of foods other than alcoholic beverages in addition to the information stored by the storage unit 110 of the server device 10 of the first embodiment. The intake history 117, which is information, is stored. Further, the drinking history reception unit 130 of the server device 10 of the second embodiment receives the above intake history from the drinker together with the drinking history. Further, the state estimation unit 140 of the server device 10 of the second embodiment estimates the state of the drinker at the state estimation time by a method different from the method of the server device 10 of the first embodiment. Further, the estimation model update unit 170 of the server device 10 of the second embodiment updates the estimation model by a method different from the method of the server device 10 of the first embodiment.

FIG. 14 is a flowchart illustrating a process (hereinafter, referred to as “drinking information providing process S1400”) performed in the drunk management support system 1 of the second embodiment when a drunk person drinks. The drinking information providing processing S1400 has the same basic flow as the drinking information providing processing S500 of the first embodiment shown in FIG. 5, but in the drinking information providing processing S1400, the drinking history reception unit 130 has an intake history from the drinker. A process for receiving (S1413) has been added. Further, the method of estimating the state of the drinker (S1414) performed by the state estimation unit 140 is different from the method of estimating the state of the drinker (S513) of the drinking information providing process S500 of the first embodiment. Further, the estimation model update method (S1418) performed by the estimation model update unit 170 is different from the estimation model update method (S517) performed by the estimation model update unit 170 of the first embodiment.

FIG. 15 is a screen displayed by the drinker device 20 of the second embodiment in S1413 of FIG. 14 (hereinafter, referred to as “drinking history input screen 1500”). The drinking history input screen 1500 is similar to the configuration of the drinking history input screen 700 shown in FIG. 7, but is a display field for icons of foods and beverages other than alcoholic beverages (hereinafter, referred to as “food icon display field 73”). The difference is that is provided. As shown in the figure, the food icon display column 73 corresponds to snacks (fried chicken, edamame, cheese, etc.), foods that suppress the influence of alcohol, non-alcoholic beverages (supplements, chasers, soft drinks, etc.), etc. An icon (hereinafter, referred to as “food icon 731”) is displayed.

By dragging and dropping the food icon 731 displayed in the food icon display field 73 into the drinking history registration field 72, the drinker can transfer the type and amount of food he / she ate other than the alcoholic beverage to the drinker device 20. It can be easily entered. Although not illustrated in the figure, an icon corresponding to the type and amount of food is displayed in the food icon display column 1311, and the drinker tells the drinker device 20 the type and amount of food he / she ate. It may be possible to input easily.

In this way, on the drinking history input screen 1500, icons of foods and beverages other than alcoholic beverages are displayed together with the icon of alcoholic beverages, so that the drinker can use the drinking history as well as the intake history of foods other than alcoholic beverages. It can be easily input to 20. As in the case of the drinking history, the input intake history is transmitted to the server device 10, and the storage unit 110 of the server device 10 stores the sent intake history as the intake history 117. The intake history 117 includes a drinker ID, information indicating the date and time of drinking, and information associated with the intake history.

FIG. 16 is a diagram illustrating a specific method of state estimation performed by the state estimation unit 140 of the server device 10 of the second embodiment in S1414 of FIG. 14, and shows the change characteristics of the alcohol concentration A (T) in the body. It is a figure which shows. Since the meanings of the horizontal axis, the vertical axis, and the symbols (D1, DS, T0, T1, J) of the graph shown in the figure are the same as those of the first embodiment (FIG. 10), description thereof will be omitted.

The state estimation unit 140 of the second embodiment obtains the body alcohol concentration A (T) in the period of 0 ≦ T <T1 from the following equation (graph shown by reference numeral 1611 or graph indicated by reference numeral 1612).
A (T) = α (T-T0) -gβ (T-T0) (0≤T <T1) ... Equation 5
In the above equation, α and g are the same as in the first embodiment, α is a parameter indicating the speed of absorption of alcohol into the body, and g is a parameter indicating the ability to recover from the influence of alcohol peculiar to each individual. .. β is a parameter newly introduced in the second embodiment, and is a parameter that causes g to act on the influence of foods other than alcoholic beverages (accelerates or decelerates g). For example, when a drinker ingests a food having an effect of enhancing liver function such as a supplement, the β value increases (the recovery ability increases. In FIG. 16, β1 <β2.). In addition, β is a value set for each type of food.

As shown in the figure, after time T1, the alcohol concentration A (T) in the body decreases according to the following equation (graph shown by reference numeral 1613 and graph indicated by reference numeral 1614).
A (T) = D1-gβ (T-T0) (T ≧ T1, but up to T where A (T) = 0)
... Equation 6

In S1418 of FIG. 14, the estimation model update unit 170 updates g representing the recovery ability to a new g'based on the following equation.
g'= g-r {(SA (J)} / {β (J-T0)} ... Equation 7
In the above equation, symbols other than β are the same as in Equation 4 of the first embodiment. For the β value, for example, for a drinker who often ingests the same type of food when drinking, a value set (evaluated) by accumulating his / her own data (state estimation result, actual state) is used. Further, for example, a common β may be used among a plurality of drinkers for the same type of food (for example, β set using data of other drinkers (state estimation result, actual state) is used).

In order to set β more appropriately and improve the accuracy of recovery ability, it is effective to set β based on a lot of data (drinking history, state estimation result, actual state). However, there are so many types of foods (foods, supplements, etc.) that contribute to β, and it is assumed that the required amount of data cannot be obtained. In addition, it takes time for data to be accumulated even for foods that are consumed in relatively large amounts. As a solution to these problems, for example, the following method can be considered.

For example, when data on the day when the target type of food is ingested and data on the day when the food is not ingested are obtained for a certain drinker, β is calculated by comparing the two. In that case, since g is common to the same person, only the influence of β can be set. Further, for example, when there are a plurality of drinkers who have ingested the same type of food, β may be obtained by statistically processing the data of each drinker (for example, using an average value). In addition, when food is ingested when drinking, if g is updated by the method of the first embodiment without considering the effect of β, the effect of β is reflected in g on average, so the value of gβ is set. It will be. Here, it is considered that the value of g obtained based on the data of many days is approaching the correct value of each drinker, and the drinker who has a lot of data (drinking history, state estimation result, actual state), predetermined Select a drinker who has data for the number of days (for example, 10 days) or more, and compare gβ on the day when the corresponding food is ingested with g obtained based on the data on the day when the food is not ingested to obtain β with the required accuracy. Can be done. Since the information on the drinker usually includes information on various foods, the effect (effect on β) of various kinds of foods can be set.

As described above, the drinking management support system 1 of the second embodiment also considers the intake history of foods other than alcoholic beverages of the drinker, so that the content is more appropriate and more accurately reflects the actual drinking situation. Information can be provided to support the drinking management of drinkers. In addition, the drinker can also obtain information such as what kind of food (snacks, supplements, etc.) should be ingested when drinking to prevent a hangover.

<Caution based on the maximum alcohol concentration in the body>
By the way, how the alcohol concentration A (T) in the body rises when α is α1 (slope of the graph shown by reference numeral 1012 in FIG. 10) and α2 (α1> α2) in which α is smaller than α1 (absorption rate is slow). ), The way the body alcohol concentration A (T) rises (the slope of the graph indicated by reference numeral 1015 in FIG. 10) is different, but the way the body alcohol concentration A (T) falls, that is, A (J) at time J Approximately equal. On the other hand, since the time at which the absorption of alcohol into the body ends is different, the maximum value when α is α1 (reference numeral 1013) and the maximum value when α is α2 (reference numeral 1016) are different (in this example, A (T1). )> A (T2)). That is, the maximum value of the alcohol concentration A (T) in the body differs depending on the value of α. Here, the maximum value of alcohol concentration A (T) in the body is closely related to the degree of drunkenness of the drinker, and the above maximum value is the degree of risk during drinking (risk of acute alcohol intoxication and damage to the human body). It correlates with and affects the physical condition at a later time. Therefore, for example, the maximum value of the alcohol concentration A (T) in the body is estimated based on Equations 1 and 2, and when the estimated maximum value exceeds a preset threshold value, information that calls attention to the drinker is output (for example,). A message (for example, reference numeral 78 of the drinking history input screen 700 of FIG. 7) may be displayed).

<About α setting>
Like β, α depends on the type of non-alcoholic ingestion, and the problem is that there are numerous types of food. Therefore, as with β, a common value is used for α for the same type of knobs among a plurality of drinkers so that the same drinker's data can be set even when there is not enough data for each food. In addition, α is handled differently from β in that it must be set before the ingested alcohol is completely absorbed into the body.

Usually, it is difficult to subjectively and accurately set the body alcohol concentration A (T) while the drinker is drinking. Therefore, for example, in a laboratory or the like, an alcohol concentration measuring device may be used to measure the alcohol concentration A (T) in the body after a predetermined time after ingesting the alcohol and the food of interest to obtain α. Since it is necessary to measure the alcohol concentration A (T) in the body before the absorption of alcohol is completed, it is preferable to complete the measurement in a short time (for example, about 15 minutes). Further, the values are obtained for various kinds of foods as described above, and the obtained α is stored as the estimated model information 113. Like β, α may be shared among a plurality of drinkers.

<When ingesting multiple types of food>
By the way, when a plurality of kinds of foods are ingested, that is, when a plurality of factors affect α and β, α and β are set as follows, for example. In the following description, the case where α is set will be described as an example, but β can also be set by the same method.

FIG. 17 is an example of the intake history 117. As shown in the figure, the illustrated intake history 117 is composed of one or more records having each item of record ID 1171, acquisition date and time 1172, drinker ID 1173, food ID 1174, and α1175. A record ID, which is an identifier of each record, is set in the record ID 1171. The acquisition date and time of the information of the record is set in the acquisition date and time 1172. A drinker ID is set in the drinker ID 1173. One or more food IDs, which are food identifiers, are set in the food 1174. In α1175, an identifier of α set for each combination of foods described later is set.

Here, for example, when the drinker ingests a plurality of foods (cheese, fried chicken) as in the record whose record ID 1171 is "1", the value of α when the drinker is most hungry (hereinafter, "α0") Select the value of α that has a large deviation from the above, that is, the influence of the factor (food ingested) is maximized. For example, the ratio of fried chicken α (fried chicken) to α0 on an empty stomach was 0.9, and the ratio of cheese α (cheese) to α0 was 0.95. In the case, the value of α (fried chicken) is selected as the value of α. In addition, α may be defined for the combination of foods. For example, a new parameter α (cheese & karaage) may be provided so that α (karaage) and α (cheese) are handled independently. The number of food combinations is enormous, and it is difficult to obtain sufficient data to determine the α defined for each combination. However, when a common α is used among a plurality of drinkers, the possibility that a sufficient number of data can be obtained from a plurality of drinkers increases, and it becomes possible to set the α defined for each combination.

[Third Embodiment]
The drinking management support system 1 of the third embodiment estimates the state of the drinker at the state estimation time while considering the physical condition of the drinker (physical condition when there is no influence of drinking). The ability to recover from the effects of alcohol is not a little affected by the physical condition of the drinker. Therefore, β in consideration of the influence of physical condition is βc, β in consideration of the influence of food is βs, and the ability to recover from the influence of alcohol is expressed as g × βc × βs. Here, the value of g × βc × βs can be obtained, for example, by the same method as when β was obtained in the second embodiment. The basic configuration of the drinking management support system 1 of the third embodiment is the same as that of the drinking management support system 1 of the second embodiment. Hereinafter, the points different from the second embodiment will be mainly described.

FIG. 18 shows the main functions included in the server device 10 of the third embodiment. As shown in the figure, the storage unit 110 of the server device 10 of the third embodiment is information indicating the physical condition of the drinker in addition to the information stored by the storage unit 110 of the server device 10 of the second embodiment. The physical condition related information 118 including the physical condition related information is stored. Further, the server device 10 of the second embodiment further includes a physical condition related information acquisition unit 180 that receives physical condition related information from a drinker. The state estimation unit 140 of the server device 10 of the third embodiment estimates the state of the drinker at the state estimation time in consideration of the physical condition of the drinker.

FIG. 19 shows a screen displayed on the output device 15 by the drinker device 20 when the physical condition related information acquisition unit 180 receives input of physical condition related information from the drinker (hereinafter, referred to as “physical condition related information reception screen 1900”). This is an example. As shown in the figure, the physical condition related information reception screen 1900 accepts input of information on the physical condition of the drinker (body temperature, weight, number of steps, wake-up time, bedtime, pulse, etc.) from the drinker. And an OK button 1912. When the drinker inputs the content in the physical condition related information input field 1911 and operates the OK button 1912, the content (physical condition related information) input in the physical condition related information input field 1911 is sent to the server device 10 and the server device 10 The storage unit 110 stores the physical condition-related information 118.

In addition, the physical condition related information acquisition unit 180 has information other than the information shown in the figure that may affect the physical condition of the drinker (height, gender, presence / absence of menstruation, wake-up time, bedtime, meal, etc.) Information about work, working hours, information about work such as work contents, weather information (temperature, humidity, atmospheric pressure, etc.), etc.) may be acquired, and βc may be obtained using the acquired information. In addition to the method of inputting by the drinker, the physical condition related information acquisition unit 180 acquires information from, for example, various sensors 17 provided in the drinker device 20 (or communicably connected to the drinker device 20). The physical condition-related information acquisition unit 180 may acquire the physical condition-related information of the drinker by another method. For example, the physical condition related information acquisition unit 180 acquires information such as the number of steps set by using the acceleration sensor. Further, for example, the physical condition-related information acquisition unit 180 may acquire information related to the work of the drinker from an external information processing system. Further, the physical condition related information acquisition unit 180 may acquire weather information or the like from an external information providing service.

By the way, the number and combinations of information related to physical condition are enormous, and most of them are represented by analog values. Therefore, for example, information for obtaining βc is influenced so that information processing can be performed efficiently. You may narrow down to some types of information that are considered to be large, or select information that meets certain criteria.

FIG. 20 is an example of a βc setting method. Each record corresponds to one of the βc variations. Information about physical condition is listed in the column direction. In the figure, 1 indicates that the information (sleep time, A (J) of the previous day, the number of steps, etc.) satisfies the condition, and 0 indicates that the condition is not satisfied. In this way, βc can be set according to the physical condition of the drinker.

When the drinker device 20 is provided with a photographing device (camera) such as a smartphone or a tablet, α may be set by using an image or a video image captured by the photographing device. For example, it is known that drinking causes a pulse rate to increase, and a drinker measures the pulse rate with a photographing device (an application that measures a pulse based on an image taken by a camera is known). Then, for example, the server device 10 stores a table of the pulse rate and the alcohol concentration in the body obtained in advance in the experiment, estimates the alcohol concentration in the body from the pulse rate using this, and obtains α based on the estimation result. To. In addition, some people tend to have a red face when they consume alcohol. For such a person, the server device 10 records, for example, the correspondence between the measurement result of the alcohol concentration measuring device and the complexion measurement result by the camera, and collates the image taken by the photographing device with the above correspondence in the body. The alcohol concentration may be estimated. As a result, α can be obtained without carrying an alcohol concentration measuring instrument.

In this case, after the start of drinking and before the absorption of alcohol is completed (before T1 estimated by using α on an empty stomach and considering the amount of alcohol consumed), the drinker is pulsed in the message display field 83 and the like shown in FIG. You may want to display a message prompting you to measure the number. If the display timing is too early, the amount of alcohol absorbed is small and it is difficult to measure the effect on the body. Therefore, it is preferable to perform the above display at a timing as close to T1 as possible (for example, 5 minutes before T1).
[Fourth Embodiment]

The drinking management support system 1 of the fourth embodiment sets the values of α and β by using the information obtained from the alcohol concentration measuring instrument (for example, the exhaled alcohol node measuring instrument). The alcohol concentration measuring instrument may be provided by the drinker device 20 as various sensors 17, or may be an externally connected type that can be connected via the communication device 16. Further, the drinker may input the value measured by the alcohol concentration measuring device independent of the server device 10 and the drinker device 20 into the drinker device 20. The other configuration of the drinking management support system 1 of the fourth embodiment is basically the same as the configuration of the drinking management support system 1 of the second embodiment or the third embodiment.

By using an alcohol concentration measuring instrument, the values of α and β can be set more accurately. In addition, the accuracy can be further improved by combining with other information such as pulse rate. It should be noted that the values of α and β set based on the information measured by the alcohol concentration measuring device for a predetermined number of drinkers are shared with the drinker device 20 of another drinker, for example, via the server device 10. For example, it is possible to accurately estimate the state of another drinker at the time of state estimation without using an alcohol concentration measuring instrument.

Alcohol concentration measuring instruments are usually provided at sites where alcohol tests are carried out on a daily basis to ensure safety, such as when driving a vehicle. In addition, small alcohol concentration measuring instruments have recently appeared, and the situation is becoming such that they can be mounted on smartphones and tablets, which are excellent in portability and operability. By using these alcohol concentration measuring instruments, the drinker can easily use the mechanism of the drinking management support system 1. In addition, by combining with the user authentication function (biometric authentication function such as face image recognition and fingerprint recognition) provided in the drinker device 20 (for example, smartphone or tablet), the data obtained from the alcohol concentration measuring device is the person's own. You may want to check if it is.
[Fifth Embodiment]

In the fourth embodiment, α and β are set by measuring the alcohol concentration in the body, but in the fifth embodiment, the acetaldehyde concentration in the body (hereinafter, referred to as “acetaldehyde concentration in the body”) is further measured. , Α and β are set based on the body alcohol concentration and the body acetaldehyde concentration. The acetaldehyde concentration in the body is measured, for example, by using the acetaldehyde concentration measurement function in the body provided in the alcohol concentration measuring device. Other configurations of the drinking management support system 1 of the fifth embodiment are basically the same as the configurations of the drinking management support system 1 of the fourth embodiment.

FIG. 21 is a diagram illustrating a process in which alcohol ingested in the body is absorbed and decomposed. Further, FIG. 22 is a diagram that reinforces FIG. 21 and is a diagram showing changes in the alcohol concentration in the body and the acetaldehyde concentration in the body.

As shown in FIG. 21, the alcohol ingested in the body is absorbed in the intestine and stomach (S2111), and as a result, the alcohol concentration in the body increases as shown in FIG. 22 (graph shown by reference numeral 2211). The parameter that reflects the speed of absorption at this time corresponds to α.

The alcohol concentration in the body is obtained by subtracting the amount of alcohol decomposed in the body from the amount of alcohol ingested in the body. The alcohol concentration in the body and the alcohol concentration measured by the alcohol concentration measuring instrument are in a proportional relationship.

As shown in FIG. 21, acetaldehyde is produced when alcohol is decomposed in the body (S2111). This decomposition process involves a parameter g1 that reflects the decomposition ability peculiar to each individual and a parameter β1 that reflects the influence of the ingested food and represents the decomposition ability of alcohol. The concentration of acetaldehyde in the body is obtained by subtracting the amount of acetaldehyde decomposed in the body from the acetaldehyde produced (reference numeral 2213 in FIG. 22). The acetaldehyde concentration in the body and the acetaldehyde concentration measured by the alcohol concentration measuring instrument are in a proportional relationship.

As shown in FIG. 21, acetaldehyde is decomposed in the body (S2113) and decomposed into harmless substances such as acetic acid to finally become water and CO ₂ . The decomposition of acetaldehyde involves a parameter g2 that reflects the decomposition ability peculiar to each individual and a parameter β2 that reflects the influence of the ingested food and represents the decomposition ability of acetaldehyde.

Here, the enzyme involved in the decomposition of alcohol (alcohol dehydrogenase ADH) and the enzyme involved in the decomposition of acetaldehyde (acetaldehyde dehydrogenase ALDH) are different, and the ability to decompose alcohol differs for each individual. Therefore, the types of foods (supplements, snacks, chasers, etc.) that are effective in decomposing alcohol also differ from person to person. Here, in the second embodiment, the parameters g and β are set by integrally handling the decomposition of alcohol and the decomposition of acetaldehyde. However, by separately evaluating the decomposition of alcohol and the decomposition of acetaldehyde, it is possible to predict the state of the drinker at the time of state estimation in a form that more accurately reflects the characteristics of each individual. Therefore, according to the method of the present embodiment, it is possible to give appropriate food advice to the drinker in consideration of individual differences.

In order to obtain the common parameters α and β1 among a plurality of drinkers and the parameter g1 peculiar to the drinker using the measured alcohol concentration, the measurement result of the alcohol concentration measuring instrument is input to the state in the second embodiment. It may be performed in the same manner as when using. Further, by obtaining the parameters α, β1 and g1, it is possible to obtain the common parameter β2 among the drinkers and the parameter g2 unique to each drinker by using the acetaldehyde concentration in the exhaled breath measured by the alcohol concentration measuring instrument. it can.

Although one embodiment of the present invention has been described in detail above, it goes without saying that the present invention is not limited to the above-described embodiment and can be variously modified without departing from the gist thereof. For example, the above-described embodiment has been described in detail in order to explain the present invention in an easy-to-understand manner, and is not necessarily limited to those having all the described configurations. Further, it is possible to add, delete, or replace a part of the configuration of the above embodiment with another configuration.

Further, each of the above configurations, functional units, processing units, processing means and the like may be realized by hardware by designing a part or all of them by, for example, an integrated circuit. Further, each of the above configurations, functions, etc. may be realized by software by the processor interpreting and executing a program that realizes each function. Information such as programs, tables, and files that realize each function can be stored in memory, hard disks, recording devices such as SSDs (Solid State Drives), and ICs.
It can be placed on a recording medium such as a card, SD card, or DVD.

Further, in each of the above figures, the control lines and information lines are shown as necessary for explanation, and not all the control lines and information lines in the implementation are necessarily shown. For example, in practice almost all configurations may be considered interconnected.

Further, the arrangement form of various functional units, various processing units, and various databases of each information processing device described above is only an example. The arrangement form of various function units, various processing units, and various databases can be changed to the optimum arrangement form from the viewpoint of the performance, processing efficiency, communication efficiency, and the like of the hardware and software included in these devices.

Further, the configuration of the database (schema, etc.) for storing various types of data described above can be flexibly changed from the viewpoints of efficient use of resources, improvement of processing efficiency, improvement of access efficiency, improvement of search efficiency, and the like.

1 Drinking management support system 5 Communication network 10 Server device 110 Storage unit 111 State estimation time 112 Drinking history 113 Estimated model information 114 State estimation result 115 Actual state 116 Beverage information 120 State estimation time reception unit 130 Drinking history reception unit 140 State estimation unit 150 Estimated result presentation unit 160 Actual state reception unit 170 Estimated model update unit 20 Drinker device 210 Storage unit 211 Input information 212 Output information 213 Screen information 220 Information input reception unit 230 Information output unit 240 Communication processing unit

Claims (15)

An information processing system that supports the management of drinking
The drinking history of the drinker at the time of drinking and the state estimation time, which is the time for estimating the physical condition of the drinker after the drinker drinks, are acquired.
A estimation model, which is a model for estimating a change in alcohol concentration in the body of the drinker based on the drinking history, is stored.
The alcohol concentration in the drinker's body at the state estimation time is estimated based on the estimation model, and based on the estimated alcohol concentration, the state estimation result is information indicating the state of the drinker's body at the state estimation time. To generate
Acquire the actual state information which is the information indicating the actual state of the body of the drinker at the state estimation time or a time near the state estimation time.
The estimation model is updated based on the drinking history, the state estimation result, and the actual state information.
Drinking management support system. The drinking management support system according to claim 1.
Acquire the intake history of foods other than alcoholic beverages of drinkers during or before drinking,
The estimation model is a model that estimates a change in alcohol concentration in the body of the drinker based on the drinking history and the intake history.
Drinking management support system. The drinking management support system according to claim 2.
The estimation model includes a parameter g, which is a parameter representing the ability of the drinker to recover from the influence of alcohol ingested, and a parameter β, which is a parameter that causes the influence of the food ingested by the drinker on the parameter g. Represented using,
Drinking management support system. The drinking management support system according to claim 3.
The parameter β is set for each type of food and uses the parameter β common to a plurality of drinkers.
Drinking management support system. The drinking management support system according to claim 3.
The parameter β is determined based on the alcohol concentration measured for the drinker at a time after the drinking and before the estimated state time.
Drinking management support system. The drinking management support system according to claim 2.
The estimation model includes a parameter α, which is a parameter representing the ability of the drinker to absorb alcohol, a parameter g, which is a parameter representing the ability of the drinker to recover from the influence of alcohol ingested, and the parameter g of the food. It is expressed using the parameter β, which is a parameter that exerts an influence.
Drinking management support system. The drinking management support system according to claim 6.
The parameter α is determined based on the alcohol concentration or acetaldehyde concentration in the body measured for the drinker in a predetermined period after the start of drinking.
Drinking management support system. The drinking management support system according to claim 6.
The maximum value of the alcohol concentration in the body of the drinker is obtained based on the estimation model, and when the obtained maximum value exceeds a preset threshold value, information for calling the drinker's attention is output.
Drinking management support system. The drinking management support system according to claim 1 or 2.
As the actual state information, the alcohol concentration or the acetaldehyde concentration measured for the drinker at the state estimation time or a time near the state estimation time is acquired.
Drinking management support system. The drinking management support system according to claim 1 or 2.
An image prepared for each type of alcoholic beverage and an input area of the image are displayed.
Accepting the operation of the drinker to move the image of the alcoholic beverage he or she drank to the input area,
The images in which the operation has been performed are displayed in order in the input area.
Generate the drinking history based on the operation.
Drinking management support system. The drinking management support system according to claim 1 or 2.
It is provided with a user interface that accepts the input of the drinking history while presenting the state estimation result in a manner in which the influence of alcohol on the drinker can be visually grasped.
Drinking management system. The drinking management support system according to claim 1 or 2.
By displaying a plurality of images prepared for each physical condition and letting the drinker select the image, information indicating the actual physical condition of the drinker at the estimated state time is received.
Acquire the received information as the actual state information.
Drinking management support system. The drinking management support system according to claim 12.
Accepting information indicating the degree of the actual physical condition of the drinker,
Acquire the received information as the actual state information.
Drinking management support system. A way to help manage drinking
Information processing device
A step of acquiring the drinking history of the drinker at the time of drinking and the state estimation time, which is the time for estimating the physical condition of the drinker after the drinker drinks.
A step of storing an estimation model, which is a model for estimating a change in alcohol concentration in the body of the drinker based on the drinking history.
The alcohol concentration in the drinker's body at the state estimation time is estimated based on the estimation model, and based on the estimated alcohol concentration, the state estimation result is information indicating the state of the drinker's body at the state estimation time. Steps to generate,
A step of acquiring actual state information which is information indicating the actual state of the body of the drinker at the state estimation time or a time in the vicinity of the state estimation time, and
A step of updating the estimation model based on the drinking history, the state estimation result, and the actual state information.
How to support drinking management. The drinking management support method according to claim 14.
The information processing device further executes a step of acquiring the intake history of foods other than alcoholic beverages of the drinker during or before drinking.
The estimation model is a model that estimates a change in alcohol concentration in the body of the drinker based on the drinking history and the intake history.
Drinking management support method.

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