JP2020009384A - Data management server, data management method, and data management program - Google Patents

Abstract

To provide a data management server for providing an interface capable of easily performing access to the data of a data storage, without requiring an API for allowing an application to access measurement data and to provide a data management method and a data management program.SOLUTION: A data management server 100 of a data management system 1 includes, as its functions, a data layer management part 130 for generating a data layer for each type of a measurement device 300 in measurement data DB 121, a data management part 140 for generating an account in the data layer for each user using the measurement device 300, an application generation part 150 for performing predetermined arithmetic operation on biological data from the measurement data, and an interface providing part 160 for providing the interface for allowing the application to access the measurement data.SELECTED DRAWING: Figure 1

Description

  The present disclosure relates to a data management server, a data management method, and a data management program that receive measurement data from a measurement device and perform an operation on biometric data.

  It is effective for health management to continuously measure a user's biometric data using a measuring device for measuring biometric data and to detect a disease early or detect a change in a medical condition based on the change. To do so, it is necessary not only to measure biometric data, but also to create software that uses a large number of measurement data and mathematical models based on them to perform various calculations in order to grasp various health conditions from multiple biometric data. There is.

  For example, a development support server that provides a mathematical model on which various calculations are performed based on measurement data of a user is known (for example, see Patent Literature 1). The development support server disclosed in Patent Literature 1 generates a mathematical model that is a causal relationship for performing an operation on biological information data from measurement data, and provides the mathematical model in a usable manner. This allows the software developer to easily use the mathematical model based on the measurement data of the user and create the application software.

Japanese Patent No. 6257015

  By the way, in such application software (hereinafter, referred to as “app”), a data storage is provided for each application, and various data including necessary measurement data are stored. Therefore, various data are redundantly stored. You may have. In addition, in order to use such an application, it is necessary to create a user account for each application, which requires a cumbersome operation for the user.

  It is expected that sharing such various data will create new value. To that end, an API (Application Programming Interface) is created for each application, and each application accesses data in the data storage. It needs to be able to do that, and it requires extra work for software developers.

  Therefore, in the present disclosure, a data management server, a data management method, and a data management program that provide an interface for an application to access measurement data will be described.

  A data management server according to an aspect of the present disclosure is a data management server that receives measurement data from a measurement device via a network and performs an operation from the measurement data to biometric data, and generates a data layer for each measurement device. A layer management unit, an account is generated for each user who uses the measurement device, the data management unit is divided into data layers corresponding to the measurement device, and stores measurement data for each account, and detects a state of the user, An application generation unit that generates application software that performs predetermined computations on biological data from the measurement data, and an interface providing unit that provides an interface for the application software to access the measurement data. Used by Or to have access to a plurality of data layers, to access to the measurement data for one or more accounts.

  A data management method according to an aspect of the present disclosure is a data management method for receiving measurement data from a measurement device via a network and performing an operation on the measurement data to the biological data, wherein the data layer management unit performs A data layer management step of generating a data layer, and an account generated by the data management unit for each user who uses the measurement device, and divided into data layers corresponding to the measurement device, and the measurement data is stored for each account. A data management step to be performed, an application generation step performed by the application generation unit to detect a user's state, and application software to perform a predetermined operation on biological data from the measurement data, and an application software performed by the interface providing unit to perform measurement. Interface for accessing data Includes an interface providing step of providing a scan, the interface providing step causes the access to one or more data layers by the application software to use, to access to the measurement data for one or more accounts.

  Further, the data management program according to an aspect of the present disclosure is a data management program that receives measurement data from a measurement device via a network and performs an operation from the measurement data to biological data, and generates a data layer for each measurement device. A data layer management step for generating an account for each user who uses the measurement apparatus, a data management step for dividing the data layer corresponding to the measurement apparatus and storing the measurement data for each account, and detecting a state of the user And causing the computer to execute an application generation step of generating application software for performing a predetermined operation on biological data from the measurement data, and an interface providing step of providing an interface for the application software to access the measurement data. Chromatography to provide step by access to one or more data layers by the application software to use, to access to the measurement data for one or more accounts.

  According to the present disclosure, an application is provided with an interface for accessing measurement data, is divided for each measurement device, and has access to the measurement data stored for each user account. Thus, an application that performs an operation from the measurement data to the biological data can easily access the measurement data.

1 is a block diagram illustrating a data management system according to an embodiment of the present disclosure. FIG. 2 is a block diagram showing a structure of a data layer in a measurement data DB 121 in FIG. 1. FIG. 2 is a schematic diagram illustrating an example of tag information associated with a measurement data DB 121 in FIG. 1. FIG. 2 is a schematic diagram illustrating an example of data correction in a measurement data DB 121 in FIG. 1. FIG. 2 is a diagram for describing an example of an electrocardiographic waveform and a pulse wave measured by the measuring device 300 in FIG. 1. 2 is a flowchart illustrating an example of a process of the data management system 1 in FIG. 1 is a block diagram illustrating a data management system according to an embodiment of the present disclosure. 1 is a functional block configuration diagram illustrating an example of a configuration of a computer 600 according to an embodiment of the present disclosure.

  Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. The embodiments described below do not unduly limit the contents of the present disclosure described in the claims. In addition, all of the components shown in the embodiments are not necessarily indispensable components of the present disclosure.

(Embodiment 1)
<Configuration>
FIG. 1 is a block diagram illustrating a data management system 1 according to the first embodiment of the present disclosure. The data management system 1 is, for example, a system for receiving measurement data from a measurement device that measures a user's biometric data, receiving the measurement data via a network, and performing an operation on the biometric data.

  The data management system 1 includes a data management server 100, a user terminal device 200, a measurement device 300, a data layer creator terminal 400, an application provider terminal 500, and a network NW. The data management server 100, the user terminal device 200, the data layer creator terminal 400, and the application provider terminal 500 are connected via a network NW. The network NW includes the Internet, an intranet, a wireless LAN (Local Area Network), a WAN (Wide Area Network), and the like.

  The data management server 100 is, for example, a device that receives user measurement data from the measurement device 300 via a network via the user terminal device 200 and performs an operation from the measurement data to biometric data. It is composed of a server device to provide.

  The user terminal device 200 is an information processing device possessed by the user, such as a personal computer or a tablet terminal, a smartphone, a smart watch, a mobile phone, a PHS, a PDA, and the like. For example, biometric data calculated by the data management server 100 Is used to display the data as a waveform graph or the like. Information such as the user's date of birth, gender, height, weight, and stride is registered in the user terminal device 200 in advance, and user information such as the age calculated from the date of birth is associated with the measurement data to establish a network NW. To the data management server 100 via

  In addition, the user terminal device 200 can input a state in which the user acquires data with the measuring device 300 using a touch panel or the like. The user terminal device 200 inputs the “state in which data is acquired” as hash tag information such as “# running” when running and “# eating” when eating. Can be. The user terminal device 200 transmits the measurement data received from the measurement device 300 to the data management server 100 via the network NW in association with the hash tag information.

  The measurement device 300 is a device that measures a user's biometric data, and is, for example, a wearable device that is used when the user is worn on his or her body such as an arm. The measurement device 300 is, for example, a plurality of types of devices for measuring data of a user's electrocardiogram, pulse wave, temperature (body temperature), and acceleration.

  An example of a specific configuration of the measurement device 300 may be a device in which two electrodes are brought into contact with the skin, and an electrocardiogram is obtained as electrocardiogram waveform data from a temporal change in the difference between the detected potentials. The radio wave form may be data acquired by galvanic skin reaction. In addition, each light is emitted from the LED emitting green, red, and infrared rays to the skin, and a pulse wave is generated by a volume change of a blood vessel caused by a heartbeat of the user due to a time change of the intensity of the light received by the photodiode. A pulse waveform that can be detected by this method may be a photoelectric volume pulse waveform, which may be configured by a device that acquires pulse waveform data. Further, it may be constituted by a device that acquires the user's skin temperature as data by a temperature sensor that comes into contact with the user's skin. Furthermore, a three-axis acceleration sensor that detects the mutation state of each of the orthogonal XYZ axes may be configured to acquire the user's motion as acceleration data. For example, when the measuring device 300 is worn on the user's arm, the measurement is performed. The apparatus 300 acquires acceleration data as acceleration obtained by combining the swing of the arm and the movement of the whole body.

  Between the user terminal device 200 and the measuring device 300, Bluetooth (registered trademark), Near Field Radio Communication (NFC), Afero (registered trademark), Zigbee (registered trademark), Z-Wave (registered trademark) ) Or using a wireless LAN or the like. Note that a wired connection may be used instead of such a wireless connection. Further, the user terminal device 200 and the measuring device 300 may be an integrated device. For example, the measuring device 300 may be provided with a communication function so as to be able to directly communicate with the data management server 100.

  One or more user terminal devices 200 are connected to the network NW for the number of users who use the measuring device 300. There are one or a plurality of measuring devices 300 connected to the user terminal devices 200 for the number used by one user. When one user uses a plurality of measurement devices 300, a plurality of measurement devices 300 are connected to one user terminal device 200.

  The data layer creator terminal 400 is a terminal of a data layer creator that stores measurement data and manages a data layer described later, and is a device for managing access to the data layer. The application provider terminal 500 is a device for managing download of an application (application software) to be described later, which uses biometric data. The data layer creator terminal 400 and the application provider terminal 500 are configured by, for example, a personal computer or the like.

  The data management server 100 includes a communication unit 110, a storage unit 120, a data layer management unit 130, a data management unit 140, an application generation unit 150, an interface providing unit 160, and a calculation unit 170.

  The communication unit 110 is a communication interface for communicating with the user terminal device 200, the data layer creator terminal 400, and the application provider terminal 500, and has a communication protocol such as TCP / IP (Transmission Control Protocol / Internet Protocol). The communication is performed by.

  The storage unit 120 stores programs, input data, and the like for executing various control processes, and functions of the data layer management unit 130, the data management unit 140, the application generation unit 150, the interface providing unit 160, and the calculation unit 170. And comprises a random access memory (RAM), a read only memory (ROM), and the like. The storage unit 120 includes a measurement data DB 121 that stores measurement data obtained by the measurement device 300, a biological information data DB 122 that stores biological data calculated and generated from the measurement data, and a measurement data stored in the measurement data DB 121. An interface DB 123 for storing an interface for accessing data and an application DB 124 for notifying health management information of a user using, for example, biometric data are stored. Further, the storage unit 120 temporarily stores data that has communicated with the user terminal device 200, the data layer creator terminal 400, and the application provider terminal 500.

  The data layer management unit 130 generates a data layer for each type of the measurement device 300 in the measurement data DB 121 of the storage unit 120, and manages access to the data layer.

  Here, a data layer generated in the measurement data DB 121 of the storage unit 120 will be described. FIG. 2 is a block diagram showing the structure of the data layer in the measurement data DB 121 of FIG. As shown in FIG. 2, the measurement data DB 121 is divided into a plurality of data layers 121a, 121b, and 121c.

  The data layers 121a, 121b, and 121c are data storage spaces (data storages) provided for each type of the measuring device 300. For example, the data layers 121a, 121b, and 121c are provided for each of the devices A, B, and C that are one type of the measuring device 300. , 121b, 121c are provided respectively. The data layers 121a, 121b, and 121c are generated, for example, by operating the data layer creator terminal 400 by a data layer creator that is a company that manages the data layers.

  The devices A, B, and C are devices in which measurement data is transmitted to the data management server 100 when a user registers an account, and biometric data is calculated. The data layers 121a, 121b, and 121c include devices for each user. An account has been created. In the example shown in FIG. 2, the account X of the user X is generated in the data layers 121a and 121b, and the account Y of the user Y is generated in the data layers 121a and 121c. This is because user X uses devices A and B, and user Y uses devices A and C. The measurement data by the device A of the user X is stored in the account X of the data layer 121a, and the measurement data by the device B of the user X is stored in the account X of the data layer 121b. Further, the measurement data of the device A of the user Y is stored in the account Y of the data layer 121a, and the measurement data of the device C of the user Y is stored in the account Y of the data layer 121c.

  The applications AP1 and AP2 generated by the application generation unit 150 described later access the measurement data DB 121 to read the measurement data, generate biometric data, and display the biometric data on the user terminal device 200. The applications AP1 and AP2 are programs for referring to a desired data layer of the measurement data DB 121 according to the type and purpose when a software developer develops an application. In the example illustrated in FIG. 2, the application AP1 is set to access the data layers 121a and 121b, and the application AP2 is set to access the data layers 121b and 121c.

  As described above, the data layers 121a, 121b, and 121c are classified into the data layers 121a, 121b, and 121c so as to correspond to the devices A, B, and C for each type of the measurement apparatus 300, and the devices A used by the users X and Y are included in the data layers 121a, 121b, and 121c. Accounts X and Y are generated in correspondence with,, and B. By integrating the measurement data in this way, a software developer (application software provider) can measure according to the type and purpose of the application. This is because it is easy to refer to a desired data layer of the data DB 121, and the trouble of creating an API is reduced. In addition, since the data layer management unit 130 generates a data layer and the data management unit 140, which will be described later, centrally manages creation of accounts and measurement data, data duplication is eliminated, thereby reducing useless use of resources. Is possible.

  The data management unit 140 generates an account in a predetermined data layer for each user who uses the measurement device 300. This account generation is performed when a user using the measuring device 300 registers an account with the user terminal device 200. Further, the data management unit 140 stores the measurement data for each account in the data layer corresponding to the measurement device 300. Therefore, the data management unit 140 controls whether or not the applications AP1 and AP2 can be accessed for each data layer, and controls whether or not the user terminal device 200 of the user can be accessed for each account. At this time, the data management unit 140 can associate measurement data with predetermined tag information and store the measurement data.

  FIG. 3 is a schematic diagram illustrating an example of tag information associated with the measurement data DB 121 in FIG. Data D1 shown in FIG. 3 is measurement data of the measurement device 300. The tag T1 is tag information associated with the data D1. For example, the time information when the measuring device 300 measures the data D1 or the time information when the data D1 is transmitted from the measuring device 300 to the user terminal device 200 are time-series. Stored as data. Alternatively, both the measured time information and the transmitted time information may be associated with each other. For example, in the first line of the tag T1 shown in FIG. 3, “20180620120746144” is stored, but indicates 12: 07: 46: 144 ms on June 20, 2018. Such time information can be obtained from the communication log. Thereby, it is possible to grasp which time zone the measurement data is.

  Incidentally, the association of the measurement data by such tag information is not limited to time information, physical information and activity information indicating the physical state and activity state of the user may be freely entered and stored as tag information, The user is allowed to select from predetermined options (for example, in response to the question "How is your current physical condition?", Select one of "1: good, 2: normal, 3: bad", etc.), and select it. The answer may be stored.

  Further, for example, as shown in FIG. 3, the data management unit 140 can rearrange (sort) the data D1 in the order of the time of the tag T1. The reason for such a configuration is that the measurement data is obtained in a time series based on the biometric data of the user, so that it is easier to process the data in the time series. When data is received via the unit 110, the received data may be inverted (transmission data transmitted later is received earlier than transmission data transmitted earlier) due to a change in communication conditions or the like. This is to prevent inconsistency in the measurement data at that time. Thereby, it is possible to prevent inconsistency of the measurement data.

  Further, the data management unit 140 can correct the loss of the measurement data due to a communication error or the like. FIG. 4 is a schematic diagram showing an example of data correction in the measurement data DB 121 of FIG. Data D2 shown in FIG. 4 is measurement data of the measurement device 300 similar to data D1 in FIG. 3, and tag T2 is tag information associated with data D1.

  The data measured by the measuring device 300 is a periodic signal such as an electrocardiogram or a pulse wave, or time-series data that changes to some extent slowly such as a temperature (body temperature), and thus is predicted within a predetermined range. Is possible. Therefore, as shown in the data D2 of FIG. 4, when the measurement data at a predetermined time is missing, for example, based on the measurement data received immediately before the time and the measurement data received immediately after the time. It is possible to estimate. For the estimation of the missing data, for example, an average value of the measurement data received immediately before the time and the measurement data received immediately after the time, or an estimated value from a time transition in the time-series data may be used. . Further, the estimation is not limited to the data immediately before and immediately after, and may be estimated from data before and after a predetermined range (for example, five data before and after). In such a case, the data management unit 140 estimates the measurement data at another time as the measurement data at the time and associates the tag data with the measurement data.

  The application generation unit 150 performs a predetermined calculation on the biometric data, such as calculating and calculating the biometric data from the measurement data stored in the measurement data DB 121, or using the calculated biometric data. An application that can be executed by the data management server 100 or the user terminal device 200 for notifying health management information is generated. The biometric data is, for example, data of a user's blood pressure information, heart rate information, blood oxygen amount information, electrocardiogram information, respiratory rate, body temperature information, stride length information, and center of gravity position information, and such data is calculated or used. An application is created to do this. The biological data generated by the calculation is stored in the biological information data DB 122. The generated application is stored in the application DB 124. Furthermore, this application is distributed to the user terminal device 200 when the user terminal device 200 is operated according to the user's request.

  Here, as an example of an application generated by the application generation unit 150, a method of calculating the maximum blood pressure and the minimum blood pressure, which are biological information data, from measurement data will be described. FIG. 5 is a diagram for describing an example of an electrocardiographic waveform and a pulse wave measured by the measuring device 300 in FIG. 1. The user's electrocardiographic waveform measured by the measuring device 300 and stored in the storage unit 120 is illustrated. 5 shows a photoelectric plethysmogram waveform, a velocity pulse waveform obtained by first-order differentiation of the photoelectric plethysmogram waveform with respect to time by the application, and an acceleration pulse waveform obtained by performing second-order differential of the photoelectric plethysmogram waveform with time. FIG. 5 shows an electrocardiographic waveform, a photoelectric volume pulse waveform, a velocity pulse waveform, and an acceleration pulse waveform in order from the top. The vertical axis indicates the intensity of each waveform, and the electrocardiographic waveform and the photoelectric plethysmographic waveform are represented by mV indicating the potential. The horizontal axis indicates the passage of time, and indicates the passage of time from left to right.

  The electrocardiographic waveform is a waveform that indicates a periodic change in an electrical signal that causes a human heart to beat. In the electrocardiographic waveform, P-wave, Q-wave, R-wave, S-wave, and T-wave are assigned to inflection points of the shape, respectively, and indicate one cycle of a heartbeat. P-waves represent atrial contractions, Q-waves, R-waves and S-waves represent states of ventricular contraction, and T-waves represent the onset of ventricular dilation.

  The photoelectric plethysmographic waveform is a waveform that indicates changes in blood pressure and volume in the peripheral vascular system accompanying the pulsation of the human heart. In the photoelectric plethysmographic waveform, names of A-wave, P-wave, V-wave, and D-wave are assigned to inflection points of the shape, respectively, and indicate one cycle of a heartbeat. A wave is a reference point at which an arterial pulse wave is generated, P wave is a Percussion wave (shock wave) generated by left ventricular ejection, V wave is a Valley wave (wave caused by overlapping bulge) generated when aortic valve is closed, D wave Indicates a dicrotic wave (overlapping wave) which is a reflected vibration wave.

  The velocity pulse waveform is obtained by first-order differentiation of the photoelectric volume pulse waveform with respect to time. The acceleration pulse waveform is a first-order derivative of the velocity pulse waveform with respect to time, that is, a second-order derivative of the photoelectric volume pulse waveform. As shown in FIG. 5, the acceleration pulse waveform has an a-wave (early contraction initial positive wave), a b-wave (early contraction initial negative wave), a c-wave (mid-systolic re-rise wave), and a d-wave (contraction). The names of late re-falling wave), e-wave (extended initial positive wave) and f-wave (extended initial negative wave) are assigned.

  The ratio of the intensity of the b-wave to the intensity of the a-wave and the ratio of the intensity of the f-wave to the intensity of the e-wave are parameters indicating the elasticity, ie, elasticity, of the blood vessel. Main blood vessel components are vascular endothelium (Endothelium), elastic fibers (Elastin), proteins (Collagen), and smooth muscle (Smooth Muscle). These components have different properties, respectively, and the elasticity of blood vessels at the time of systolic blood pressure and diastolic blood pressure is strongly influenced by Collagen and Elastin, respectively. Therefore, the elasticity that varies depending on the blood pressure value is indicated by a parameter of the ratio of the intensity of the b-wave to the intensity of the a-wave (b / a) and the ratio of the intensity of the f-wave to the intensity of the e-wave (f / e). These values fluctuate due to the effects of age, gender, and environmental variables. Therefore, the values of (b / a) and (f / e) can be calculated as the characteristic information of the acceleration pulse waveform.

  As shown in FIG. 5, the time of the difference between the time Tr at which the R wave is generated and the time Tp at which the P wave is generated is the ventricular systolic pulse wave propagation time PTT_SYS. The time of the difference between the time Tt when the T wave is generated and the time Td when the D wave is generated is the ventricular diastolic pulse wave propagation time PTT_DIA. That is, from the time Tt of the R wave and T time of the electrocardiographic waveform, the time Tp of the T wave and the time Td of the D wave of the photoelectric volume pulse waveform, the ventricular systolic pulse wave propagation time PTT_SYS and the ventricular diastole The pulse wave propagation time PTT_DIA can be calculated.

  It is also known that the relationship between the pulse wave propagation velocity and the longitudinal elastic modulus of the arterial wall has a correlation represented by a predetermined formula, and the relationship between the longitudinal elastic modulus and the blood pressure value is also represented by a predetermined formula. It is known that there is a correlation. Therefore, the systolic pulse wave propagation time PTT_SYS can determine the systolic blood pressure, and the ventricular diastolic pulse wave propagation time PTT_DIA can determine the minimum blood pressure. Thereby, the maximum blood pressure and the minimum blood pressure can be calculated.

  The interface providing unit 160 provides an interface stored in the interface DB 123 so that the application accesses the measurement data. This interface is different from that created by a software developer for accessing data in a data storage like an API. For example, this interface is provided by a data layer creator that centrally manages access to a data layer. , Provided for each data layer. This eliminates the need for the software developer to create an API, and makes it possible to easily refer to a desired data layer of the measurement data DB 121 according to the type and purpose.

  The calculation unit 170 controls the entire operation of the data management server 100 by executing the application generated by the application generation unit 150, and includes a CPU (Central Processing Unit) and the like.

  Using the interface acquired from the data management server 100, the software developer can generate the biometric information data from the measurement data and create an application that detects the state of the measurer at the application provider terminal 500. Further, the software developer can upload the created application from the application provider terminal 500 to the application DB 124 of the data management server 100.

  The user who wants to use the application accesses the data management server 100 from the user terminal device 200 via the network NW, and downloads the desired application to the user terminal device 200. The user can use the application by accessing the data management server 100 and creating his own account.

<Process flow>
The processing flow of the data management method executed by the data management system 1 will be described with reference to FIG. FIG. 6 is a flowchart illustrating an example of processing of the data management system 1 in FIG.

  In the process of step S101, the data layer management unit 130 generates a data layer for each type of the measurement device 300 in the measurement data DB 121 of the storage unit 120 according to an instruction of the data layer creator. Thereafter, the data layer management unit 130 manages access for each data layer.

  As the process of step S102, the data management unit 140 generates an account for each user who uses the measurement device 300 in a predetermined data layer corresponding to the measurement device 300 in the measurement data DB 121 of the storage unit 120. The processing in step S101 and step S102 is performed as preprocessing for the user to use the measurement device 300.

  When the user uses the measurement device 300 as the process of step S103, the measurement data is transmitted from the measurement device 300 to the data management server 100 via the user terminal device 200, and received via the communication unit 110. The data management unit 140 stores the measurement data for each account in the data layer corresponding to the measurement device 300 in the measurement data DB 121 of the storage unit 120.

  In the process of step S104, the application generation unit 150 generates an application that can be executed by the data management server 100 or the user terminal device 200 from the measurement data stored in the measurement data DB 121. The generated application is stored in the application DB 124.

  As the processing in step S105, the interface providing unit 160 provides the application generated in step S104 with an interface stored in the interface DB 123 for accessing a predetermined data layer. Thereby, it becomes possible to access the measurement data in the predetermined data layer from the application.

  As the process of step S106, when the application generated in step S104 is used, the arithmetic unit 170 accesses a predetermined data layer of the measurement data DB 121 to read the measurement data, and performs a predetermined process such as calculation of biometric data. An operation is performed. The biometric data calculated by the calculation is stored in the biometric information data DB 122 and can be used by the application and other applications.

<Effect>
As described above, in the data management system according to the present embodiment, the data layer is generated by the data layer management unit so as to correspond to the type of the measurement device, and the data management unit creates an account for each user in each data layer. The generated measurement data of the user is stored for each user account. As a result, since the measurement data is centrally managed, data duplication is eliminated, and useless use of resources can be reduced.

  Further, the interface providing unit provides an interface for the application to access a predetermined data layer, and the software developer can refer to the measurement data of a desired data layer according to the type and purpose of the application. . This saves the trouble of creating an API, so that the application can be easily developed.

  Furthermore, since the data management unit stores the tag information in association with the measurement data, the time at which the measurement data was measured and the measurement state of the user can be stored, so that the measurement data can be used with higher accuracy. Becomes possible.

(Embodiment 2)
FIG. 7 is a block diagram illustrating a data management system 1A according to the second embodiment of the present disclosure. This data management system 1A is different from the first embodiment in that the data management system 1A is a system for receiving measurement data from a measurement device that measures a user's biometric data, receiving the measurement data via a network, and performing calculations on the biometric data. Similar to the first embodiment, except that the data management server 100A includes a payment information calculation unit 180 as shown in FIG.

  The payment information calculation unit 180 calculates payment information of a user, a data layer creator, and a software developer (application software provider) for using the data management server 100A. Specifically, the user of the measuring device 300 calculates payment information for calculating a usage fee for using the data management server 100A, and calculates a data reference fee for the data layer to the data layer creator. Payment information for calculating the data usage fee of the measurement data to the software developer. Other configurations are the same as in the first embodiment.

  Here, the payment relationship between the user, the software developer, and the data layer creator will be described. Note that the software developer is a person who provides an application (application software provider), but may be a person who purchases an application and distributes it on the network NW. The creator of the data layer is the creator of the data layer in the data management server 100A, but may be the administrator of the data storage in the data management server 100A. First, the user who uses the measuring device 300 pays a usage fee to the operator of the data management server 100A. The usage fee includes a usage fee for using the application for the software developer and a usage fee for using the data layer for the data layer creator. This usage fee is calculated, for example, according to the user's usage time and the amount of data used.

  The data layer creator pays the operating cost of the data management server 100A to the operator of the data management server 100A. This operation cost is calculated, for example, according to the free data capacity secured in the storage unit 120. Then, the operator of the data management server 100A pays a data reference fee to the data layer creator. The reference fee is calculated according to, for example, the number of accesses to the data layer and the amount of data referred to (the amount of reference data).

  The software developer pays the operator of the data management server 100A a fee for using the charging tool for providing the application to the user. This usage fee is calculated, for example, according to the number of downloads of the user. Then, the operator of the data management server 100A pays a usage fee of the application to the software developer. This usage fee is calculated according to, for example, the number of downloads of the application or the number of times the user has used the application.

  The payment information calculation unit 180 determines the usage time of the user, the amount of data used, the number of accesses to the data layer, the amount of data referred to, the number of downloaded applications, and the use of the application by the user. The number of times is counted and payment information is calculated.

  Each payment may be made by electronic money or a credit card, and the data management server 100A may have a function of accessing a server that provides electronic money or credit card services to make payment. good.

  According to the present embodiment, in addition to the effect of the first embodiment, by providing the payment information calculation unit, the payment information for the operator of the data management server of the complicated user, the operation of the data layer creator and the operation of the data management server. Payment information between the software developer and the operator of the data management server can be appropriately managed.

(Embodiment 3 (program))
FIG. 8 is a functional block diagram showing an example of the configuration of the computer (electronic computer) 600. The computer 600 includes a CPU 601, a main storage device 602, an auxiliary storage device 603, and an interface 604.

  Here, the control program for realizing each function configuring the data layer management unit 130, the data management unit 140, the application generation unit 150, the interface providing unit 160, and the payment information calculation unit 180 according to the first and second embodiments is described. Details will be described. These functional blocks are implemented on the computer 600. The operation of each of these components is stored in the auxiliary storage device 603 in the form of a program. The CPU 601 reads out the program from the auxiliary storage device 603, expands the program in the main storage device 602, and executes the above processing according to the program. Further, the CPU 601 secures a storage area corresponding to the above-described storage unit in the main storage device 602 according to a program.

  Specifically, the program includes, in the computer 600, a data layer management step of generating a data layer for each measurement device, and an account for each user who uses the measurement device, and dividing the data layer into data layers corresponding to the measurement devices. A data management step of storing measurement data for each account, a calculation step of performing calculation from the measurement data to biometric data, and detecting a state of the user, and obtaining biometric data based on a calculation result from the measurement data to biometric data. A control program for realizing, by a computer, an application generating step of generating application software to be used, and an interface providing step of providing an interface for the application software to access measurement data.

  The auxiliary storage device 603 is an example of a tangible medium that is not temporary. Other examples of the non-transitory tangible medium include a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, and a semiconductor memory connected via the interface 604. When the program is distributed to the computer 600 via the network, the computer 600 that has received the program may load the program into the main storage device 602 and execute the above-described processing.

Further, the program may be for realizing a part of the functions described above. Further, the program realizes the above-described functions in combination with another program already stored in the auxiliary storage device 603, that is, a so-called difference file (difference program).
It may be.

  Although the embodiments according to the present disclosure have been described above, these can be implemented in various other forms, and can be implemented with various omissions, substitutions, and changes. These embodiments and modified examples and those obtained by omission, substitution, and modification are included in the technical scope of the claims and the equivalents thereof.

1, 1A data management system, 100, 100A data management server, 110 communication unit, 120 storage unit, 121 measurement data DB, 122 biological information data DB, 123 interface DB, 124 application DB, 130 data layer management unit, 140 data management Unit, 150 application generating unit, 160 interface providing unit, 170 calculating unit, 180 payment information calculating unit, 200 terminal device, 300 measuring device, 400 data layer creator terminal, 500 application provider terminal, NW network

Claims (15)

A data management server that receives measurement data from a measurement device via a network and performs an operation on the biological data from the measurement data,
A data layer management unit that generates a data layer for each measurement device;
A data management unit that generates an account for each user who uses the measurement device, is divided into the data layers corresponding to the measurement device, and stores the measurement data for each account.
An application generation unit that detects the state of the user and generates application software that performs a predetermined operation on the biological data from the measurement data.
An interface providing unit that provides an interface for the application software to access the measurement data,
The data management server, wherein the interface providing unit is configured to access one or a plurality of the data layers used by the application software and to access the measurement data for one or a plurality of the accounts. The data layer management unit generates the data layer based on an instruction of a data layer creator,
The data management unit generates the account based on the user's account registration,
The data management server according to claim 1, wherein the application generation unit generates the application software provided by an application software provider. Payment information paid by the user to the server operator,
Payment information between the data layer creator and the server operator,
The data management server according to claim 2, further comprising a payment information calculation unit configured to calculate payment information between the application software provider and the server operator. The payment information calculation unit,
When the data layer creator calculates the payment information to the server operator, calculate the payment information of the data layer creator based on the number of accesses to the data layer or the amount of reference data,
When the application software provider calculates the payment information to the server operator, calculate the payment information of the application software provider based on the number of downloads of the application software or the number of times the user uses the application software, The data management server according to claim 3.   2. The data management unit according to claim 1, wherein the data management unit controls whether the application software can be accessed for each data layer, and controls the user with respect to the measurement data for each account. Item 5. The data management server according to any one of items 4.   The data management server according to any one of claims 1 to 5, wherein the data management unit associates the measurement data with tag information and stores the measurement data for each account.   7. The data management unit according to claim 6, wherein the measurement information, which is time-series data, associates time information at which the measurement device measured the measurement data and / or time information at which the measurement data was transmitted as tag information. Data management server.   The data management server according to claim 7, wherein the data management unit sorts the measurement data in the order of time of the time information.   The data management unit, when the measurement data at a predetermined time is not received, based on the measurement data received before the time and the measurement data received after the time, the measurement at the time is performed. 9. The data management server according to claim 7, wherein the data management server estimates the data and associates the time information of the time as tag information.   The data management server according to any one of claims 6 to 9, wherein the data management unit associates activity information indicating an activity state of the user as tag information.   The data management server according to any one of claims 1 to 10, wherein the application generation unit distributes the generated application software to a terminal device of the user.   The data management server according to any one of claims 1 to 11, wherein the measurement data is data including at least one of an electrocardiogram, a pulse wave, a temperature, and an acceleration of the user.   The biometric data is data including at least one of blood pressure information, heart rate information, blood oxygen content information, electrocardiogram information, respiratory rate, body temperature information, stride length information, and center of gravity position information of the user. The data management server according to any one of claims 1 to 12. A data management method for receiving measurement data from a measurement device via a network and performing an operation on the biological data from the measurement data,
A data layer management unit that performs a data layer management step of generating a data layer for each measurement device;
A data management step in which a data management unit generates an account for each user who uses the measurement device, is divided into the data layers corresponding to the measurement device, and stores the measurement data for each account.
An application generating step of performing an application generating unit, detecting the state of the user, and generating application software for performing a predetermined operation on the biological data from the measurement data,
An interface providing unit that provides an interface for the application software to access the measurement data, performed by an interface providing unit,
The data management method, wherein the interface providing step includes accessing one or a plurality of the data layers used by the application software and accessing the measurement data for one or a plurality of the accounts. A data management program that receives measurement data from a measurement device via a network and performs an operation on the biological data from the measurement data,
A data layer management step of generating a data layer for each of the measurement devices;
A data management step of generating an account for each user using the measurement device, being divided into the data layers corresponding to the measurement device, and storing the measurement data for each account;
An application generation step of detecting the state of the user and generating application software for performing a predetermined operation on the biological data from the measurement data,
An interface providing step of providing an interface for the application software to access the measurement data, and causes a computer to execute,
The data management program, wherein the interface providing step includes accessing one or a plurality of the data layers used by the application software and accessing the measurement data for one or a plurality of the accounts.

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