JP2006026037A - Health management support system - Google Patents

Abstract

A health management support system that easily collects risk factors for lifestyle-related diseases is provided.
A health management support system includes (1) a sensor for detecting biological information, (2) a home server having a storage unit for storing biological information, (3) an input / output terminal, and (4) a network. (5) a risk judgment knowledge base in which risk factors for lifestyle-related diseases are stored; a sensor judgment knowledge base for judging the presence or absence of risk factors; and a knowledge base management unit for managing an inquiry knowledge base for collecting risk factors; (6) Sensor condition is read, the presence / absence of a risk factor is determined, and a sensor determination unit that stores the result in a storage unit; (7) The question and answer options are extracted from the inquiry knowledge base and output to the input / output terminal; An interview unit that stores the selected answer selection as a check result in the storage unit together with the risk factor, and (8) a risk factor that calculates and outputs a risk value of lifestyle-related diseases from the risk factor and check result And a tough.
[Selection] Figure 1

Description

  The present invention relates to a system that supports personal health management in daily life.

  In recent years, awareness of self-health management for the extension of healthy life expectancy has improved as the birthrate and the aging of society continue to grow. In particular, health care support in daily life is required for middle-aged and elderly people who are regarded as life-style related disease reserve forces. With regard to such health management support, conventionally, there is a system that collects biological information with a measuring device, collects lifestyle habits and meal contents in an inquiry format, and provides health advice. For example, in the “health management device” described in Patent Document 1, an individual is identified with an IC card, and excrement properties (shape, odor, color) are detected with a CCD camera, odor sensor, and color sensor, and the contents and physical condition of the meal are detected. Collect and give meal improvement advice. For example, in the “health management support system” described in Patent Document 2, biological information is collected in a toilet with a body fat meter and a urine sugar meter, and visual information on excrement and sensory information such as physical condition are collected with a mobile phone. And give health advice. In addition, in the “supplement providing system and information recording medium” described in Patent Document 3, lifestyle habits and symptoms are presented as inquiry items, and a supplement is prescribed from the answer results.

JP 1998-176362 A

JP 2004-13508 A JP 2002-109066 A

However, the conventional technique has a problem that it takes time for the user to input because there are many inquiry items such as lifestyle and physical condition. Further, in the conventional technique, there is a problem that a device such as an IC card that is not normally carried in the home must be carried in order to authenticate an individual. Thus, the conventional technology has been difficult to use in daily life.
An object of the present invention is to provide a health management support system that easily collects risk factors for lifestyle-related diseases in daily life at home and the like.

  A home server having a sensor device having a sensor for detecting biological information and a sensor device communication unit for transmitting the detected biological information, a server communication unit for receiving the biological information, and a storage unit for storing the received biological information; A health management support system including an input / output terminal, a sensor device, a home server, and a network in which the input / output terminal can communicate, and a risk determination knowledge base in which risk factors for lifestyle-related diseases are stored A sensor determination knowledge base storing sensor conditions for determining the presence or absence of risk factors from biological information detected by the sensor, and an inquiry knowledge base storing questions and answer options for collecting risk factors. Read out the sensor conditions of the knowledge base management unit to manage and the sensor judgment knowledge base and compare it with the biological information detected by the sensor. The presence / absence of a factor is determined. When it is determined that there is a risk factor, the sensor determination unit that stores the risk factor in the storage unit together with the check result that the risk factor is present, and the risk factor of the risk determination knowledge base is read and stored in the storage unit The risk factors that are not stored in the storage unit are extracted in comparison with the risk factors that have been collected, and the questions and answer options that collect the extracted risk factors are extracted from the interview knowledge base and output to the input / output terminal. Obtain an answer selection and use it as a check result, calculate the risk value of lifestyle-related diseases from the inquiry unit that stores the risk factor in the storage unit together with the check result, the risk factor of the storage unit and the check result, and input / output terminal The above-mentioned problem can be solved by a health management support system comprising a risk determination unit that outputs to

  The home server includes a sensorware having a sensorware ID storage unit for storing a sensorware ID for identifying sensorware to be attached to the subject and a sensorware communication unit for transmitting the sensorware ID. A personal basic information database for storing a user ID to be identified and a sensorware ID; and a user authentication unit for authenticating a subject; and the knowledge base management unit has a knowledge base stored for each user ID. The sensor device communication unit receives the sensorware ID, transmits the biometric information together with the sensorware ID, the server communication unit receives the sensorware ID and the biometric information, and the user authentication unit receives the received sensorware ID. Originally, the personal information database is searched to extract the user ID, and the knowledge base corresponding to the extracted user ID is stored in the knowledge base management unit Reading al, sensor determining unit, inquiry unit, the health management support system and executes the processes of the risk judging section, while realizing personal authentication of the simple, the above problem can be solved.

  The sensor device has a sensor device ID storage unit that stores a sensor device ID for identifying the sensor device, and the home server has a sensor device ID, a terminal ID for identifying an input / output terminal, a sensor device, and an input / output. A device information database that stores a location ID for identifying a location where the terminal is installed, the sensor determination knowledge base stores a location condition in which the location ID can be described, and the sensor device communication unit includes a sensor device The biometric information is transmitted together with the ID, the server communication unit receives the sensor device ID and the biometric information, searches the device information database based on the received sensor device ID, extracts the location ID, and extracts the extracted location ID. Reads from the knowledge base manager the knowledge base that matches the place ID described in the place condition, and Input / output identified by the extracted terminal ID by executing each process of the service determination unit, the inquiry unit, and the risk determination unit, searching the device information database based on the extracted location ID, and extracting the terminal ID Since the appropriate information is output according to the place by the health management support system characterized by being output to the terminal, the above-described problems can be solved in a form that does not give a sense of incongruity in daily life.

  The home server has a timer that outputs the date and time, the sensor determination knowledge base stores a time condition that can describe the start time and the end time, and the date and time that the timer outputs matches the time condition. The health management support system, which reads out from the knowledge base management unit and executes the processes of the sensor determination unit, the inquiry unit, and the risk determination unit, outputs appropriate information according to time, so that The above-mentioned problems can be solved in a format that does not feel strange.

  The health management support system has one or a plurality of housing facilities or home appliances, and the home server has a control command processing unit that processes control commands for controlling the housing facilities or home appliances and input / output terminals. The sensor management knowledge base stores the control command together with the sensor condition, reads the sensor condition of the sensor judgment knowledge base, and executes the control command that is matched with the detected value detected by the sensor. The support system can solve the above problems while improving the safety, energy saving, and convenience of residents.

  With the health management support system of the present invention, risk factors for lifestyle-related diseases can be easily collected in daily life according to time and place, so appropriate lifestyle-related disease risks can be presented, and lifestyle improvement awareness Can be improved.

FIG. 1 is a diagram showing a configuration of a health management support system according to an embodiment of the present invention.
This system includes a home server 100, a sensor wear 150, a sensor device 160, a network 140, an input / output terminal 120, and a housing facility / home appliance 170. In this system, the home server 100, the sensor device 160, the network 140, the input / output terminal 120, the housing equipment / home appliance 170 are installed in one home of an apartment house such as a condominium, and the sensor wear 150 is installed in a home resident. (Hereinafter referred to as user) worn on the body. One home server 100 may be installed in a condominium, and the sensor device 160, the input / output terminal 120, and the home equipment / home appliance 170 may be installed in each home and connected to each other through a single network. Thereby, the introduction cost and management cost of the system can be reduced.

  Further, in this system, the home server 100, the sensor device 160, the network 140, and the input / output terminal 120 are installed in a detached house (hereinafter referred to as home), and the sensor wear 150 is referred to as a home resident (hereinafter referred to as user). ) May be worn on the body. By installing the home server 100 for each home, information security management such as prevention of leakage of personal privacy information such as personal basic information and biometric information managed by the home server can be simplified. The home server is installed in a customer center that performs maintenance and management of apartment houses and individual houses, and the sensor device 160, the input / output terminal 120, and the housing equipment / household appliances 170 are installed in each home and connected via a single network. You may do it. Thereby, the maintenance management of the home server can be unified. The home server 100 includes a server control unit 101, a server memory 102, a sensing information receiving unit 103, a user authentication unit 104, a sensing information determination unit 105, an inquiry unit 106, an output unit 107, an input result acquisition unit 108, a risk determination unit 109, The server communication unit 110, the personal basic information database 111, the device information database 112, the user database 113, the knowledge base 114, the timer 115 for outputting the date and time, the Web server 116, and the control command processing unit 117 are configured.

  The sensorware 150 includes a sensorware control unit 151, a sensorware memory 152, a sensorware ID storage unit 153 that stores a sensorware ID that is a unique ID for identifying sensorware, a sensorware calculation unit 154, and a sensorware wireless communication unit 155. , An infrared light emitting diode (LED) 156, an infrared sensor 157, an acceleration sensor 158, and a user situation determination unit 159. The sensorware ID storage unit 153 stores “sensorw01”. The sensor wear 150 performs wireless communication with the sensor device 160. The sensor wear 150 is incorporated in a wristband, and it is assumed that the user wears it on the wrist. However, the sensor wear 150 is incorporated in a wearable such as a pendant, a ring, a wristwatch, a key, and clothing. Also good. Moreover, you may stick and use directly on skin like a bankoukou.

  The sensor device 160 includes a sensor control unit 161, a sensor memory 162, a sensor ID storage unit 163, a sensor communication unit 164, a sensor wireless communication unit 165, a human sensor 166, a sensor connection unit 169 to which a plurality of sensors can be attached and detached, and a sensor connection. And a risk factor collecting sensor 167 connected to the unit 169 and detecting a user's biological information. As the risk factor collection sensor 167, an alcohol sensor is connected to the sensor connection unit 169. As a result, it is possible to collect the presence / absence of a lifestyle risk factor “drinking”. In addition, other sensors such as a cigarette sensor and an odor sensor can be connected to the sensor connection portion 169. By connecting a cigarette sensor, the smoke component of the cigarette can be detected and the presence or absence of the risk factor “smoking” can be collected. Moreover, by connecting an odor sensor, it is possible to detect the odor of sebum and collect the presence or absence of a risk factor “high fat diet”. The human sensor 166 is assumed to be a pyroelectric infrared sensor, but may be another sensor.

FIG. 2 is a diagram illustrating an example 600 of the sensor ID storage unit 163 according to the embodiment of this invention.
The sensor ID storage unit 163 includes sensor device ID information 610 and sensor ID information 620. The sensor device ID information 610 stores a sensor device ID 611 that identifies the sensor device. The sensor ID information 620 stores a sensor order 621 for storing the order in which sensor information is processed, a sensor ID 622 for identifying the sensor, and a sensor type 623 indicating the sensor type for the sensor connected to the sensor device. In the case of the example 600, the sensor device 160 stores the sensor device ID “sensord10” and the sensor ID “sensor11” of the human sensor and the sensor ID “sensor12” of the alcohol sensor as the sensor ID. The home server 100, sensor device 160, and input / output terminal 120 are connected to the network 140.

  The home server 100 communicates with the sensor device 160, the input / output terminal 120, and the home / home appliance 170 via the network 140. The network 140 is assumed to be wired communication using a LAN (Local Area Network) cable, but is not limited to power line communication (PLC, Power Line Communication), other wired communication, or wireless communication such as IEEE802.11b. A communication method may be used. The input / output terminal 120 includes a terminal control unit 121, a terminal ID storage unit 122, a terminal communication unit 123, a display unit 124, an input unit 125, and a terminal command processing unit 126. The terminal ID storage unit 122 stores “terminal10”. The input / output terminal 120 is assumed to be a PC with a touch panel display. The terminal command processing unit 126 may include a web browser function. Although the sensor device 160 and the input / output terminal 120 are assumed to be installed in a toilet, they are described as a bathroom, a kitchen, and a bedroom (hereinafter referred to as “bedroom” in each figure. May be installed in a living room, dining room, bathroom, or the like.

  The sensor device 160 is installed in a ventilation fan. It is desirable that it is embedded in the louver of a ventilation fan. As a result, it is possible to directly measure odorous components such as alcohol, cigarettes, and acetaldehyde that can be directly measured by the human sensor and emitted from the living body. A power generation fan may be incorporated in the sensor device 160. Thereby, since it can generate electric power based on the flow of the air suck | inhaled by the ventilation fan, the power consumption of the sensor device 160 can be reduced. Also, the sensor device 160 ′ (sensor device ID “sensord30”, sensor ID “sensor11” of the human sensor) that does not connect the risk factor collection sensor 167 from the same configuration as the sensor device 160 and the input configuration that is the same as the input / output terminal 120 The output terminal 120 ′ (terminal ID “terminal30”) is installed in the bedroom. Household appliances and home appliances 170 include doors, windows, gates, electric shutters, toilet seats, beds, bathtubs, floor heating, gas stoves, electromagnetic cookers, water supplies, water purifiers, telephones, lighting, refrigerators, rice cookers, microwave ovens, Consists of toaster, air conditioner, washing machine, TV, audio equipment, massage chair, sofa, etc. Although the present system will be described as a hardware configuration, some of the functions of the system may be configured by software.

FIG. 3 is a diagram illustrating an example 200 of the personal basic information database 111 according to the embodiment of this invention.
The example 200 includes a user ID field 201 for storing a user ID for identifying a user, a password field 202 for storing a password used when user authentication is performed using the user ID and password, a name, age, gender, and height. A personal information field 203 for storing personal information, and a sensorware ID field 204 for storing a sensorware ID for identifying sensorware used and worn by the user. For example, in the example 200, the record 210A of the personal basic information database 111 includes "user0001" in the user ID field 201, "***" in the password field 202, and "name" Yoshiyuki Oda "in the personal information field 203. , Age (age) “30”, gender “m”, height (m) “170”, and sensorware ID field 204 stores “sensorware ID“ sensorw01 ””. This indicates that the sensorware identified by “sensorw01” is owned.

FIG. 4 is a diagram illustrating an example 300 of the device information database 112 according to the embodiment of this invention.
The example 300 includes a sensor device table 310 and an input / output terminal table 320. The sensor device table 310 includes a device ID field 311 for storing a device ID for identifying a sensor device and an input / output terminal, a sensor ID field 312 for storing a sensor ID, a sensor type field 313 for storing a sensor type, and a sensor. A location ID field 314 for storing a location ID for identifying a location, and a location information field 315 indicating a location where the sensor is installed are configured. For example, in the sensor device table 310, “sensor10, sensord30” in the device ID field 311, “sensor11, sensor12” in the sensor ID field 312, “human sensor, alcohol sensor” in the sensor type field 313, and location ID field 314 “Location10, location30” and “Toilet, bedroom” are stored in the location information field 315, and the sensors identified by the sensor IDs “sensor11” and “sensor12” of the sensor device with the device ID “sensor10” This indicates that the location ID “location10” is set. Further, it is indicated that the sensor identified by the sensor ID “sensor11” of the sensor device having the device ID “sensord30” is installed at the location ID “location30” identifying the bedroom.

  The input / output terminal table 320 includes a device ID field 321, a location ID field 322, and a location information field 323. For example, in the input / output terminal table 332, “terminal10, terminal30” is stored in the device ID field 321, “location10, location30” is stored in the location ID field 322, and “toilet, bedroom” is stored in the location information field 323. Indicates that the input / output terminal of “terminal10” is laid in the location ID “location10” meaning a toilet, and the input / output terminal of the device ID “terminal30” is laid in a location ID “location30” meaning a bedroom Yes.

FIG. 5 is a diagram illustrating an example 400 of the user database 113 according to the embodiment of this invention.
The user database 113 includes a sensing information history table 430 (430A,...) And a check result history table 440. The sensing information history table 430 includes a user ID field 431 that stores a user ID, a sensorware ID field 432 that stores a sensorware ID, a sensor device ID field 433 that stores a sensor device ID, a sensor ID field 434 that stores a sensor ID, A sensing result field 435 that stores the sensing result and a sensing date field 436 that stores the sensing date and time are configured. The check result history information table 440 (440A, 440B, 440C,...) Includes a user ID field 441 for storing user IDs, a check ID field 442 for storing check items, a check result field 443 for storing check results, and check results. An inquiry flag field 444 that stores an inquiry flag indicating whether the input is (Y) or not (N) from the user, a check date field 445 that stores a check date, and a check date field 446 that stores a check date.

FIG. 6 is a diagram illustrating an example 500 (510A,..., 510C,..., 510E to 510J, 510L,..., 510N,..., 510P, 510Q,...) Of the knowledge base 114 according to the embodiment of the present invention.
The knowledge base 114 includes a sensing information determination knowledge table 510, a risk determination knowledge table 520, an inquiry master table 530, and a message master table 540. The sensing information determination knowledge table 510 includes a user ID field 511 for storing a user ID, a message ID field 512 for storing a message ID, a sensor condition field 513 for storing a sensor condition, and time conditions that can describe a start time and an end time. A time condition field 514 for storing, a location ID field 515 for storing a location ID, a check ID field 517 for storing a check item, a check result field 518 for storing a check result, and a control command field 519 for storing a control command. The

  For example, when the sensor condition in the sensor condition field 513 is “sensor11 = 1”, the sensor ID in the sensor ID field 434 is “sensor11” and the sensing result in the sensing result field 435 is “1”, which will be described later in Step 906. Is determined to match. For example, when the sensor condition of the sensor condition field 513 is “0.1 ≦ sensor12 <0.5”, the sensing result of “sensor12” that is the sensor ID of the sensor ID field 434 is 0.1 or more and 0.5. When it is less than, it is determined to match. Further, for example, when the time condition in the time condition field 514 is “06: 00-12: 00”, it is determined that the sensing time, which will be described later, matches when the time is between the start time “6 o'clock” and the end time “12 o'clock”. Is done.

  The risk judgment knowledge table 520 includes a user ID field 521 for storing a user ID, a risk ID field 522 for storing a risk ID for identifying a lifestyle disease risk, and a check for storing a check ID for identifying a risk factor for the lifestyle disease risk. It comprises an ID field 523 and an index field 524 for storing a parameter indicating the degree of association of risk factors used when calculating lifestyle-related disease risks. In the risk determination knowledge table 520, for the user ID “user0001” in the user ID field 521, the risk ID “DRLF” is identified in the risk ID field 522 for identifying the lifestyle disease risk of hyperlipidemia, and the risk is identified in the check ID field 523. A check ID “alcohol” for identifying the factor “drinking”, a check ID “fattyfood” for identifying the risk factor “high fat diet”, and a check ID “overeaten” for identifying the risk factor “overeating” are described.

  The inquiry master table 530 (530A, 530B, 530C,...) Includes a question ID field 531 for storing a question ID, a check ID field 532 for storing check items, a question content field 533 for storing question details, and options (option 1, An option field 534 that stores a result selected from the options 2,..., And a check result field 535 that stores a check result (check result 1, check result...).

The message master table 540 includes a message ID field 541 that stores a message ID and a message field 542 that stores message contents.
(1) The operation of this system will be described by taking as an example the case where the user wears sensorware 150 on the wrist.

FIG. 7 is a flowchart showing the operation of the sensorware 150 according to the embodiment of this invention.
In the following description and each drawing, the expressions “step” and “process” are used synonymously.
When the sensorware 150 is turned on, the sensorware control unit 151 activates the sensorware calculation unit 154, compares the acceleration detected by the acceleration sensor 158 with the reference value stored in the sensorware memory 152, and sets the reference A step 701 for determining whether or not the movement of the sensor wear is detected based on whether or not the value is greater than or equal to the value is executed. If it is determined in step 701 that the movement of sensorware has not been detected, the sensorware control unit 151 returns to step 701. If it is determined in step 701 that the movement of sensorware has been detected, the sensorware control unit 151 executes a step 702 (variable t initial setting step) for initializing the current time in the sensorware memory 152 as a variable t. Next, the sensor wear control unit 151 activates the sensor wear calculation unit 154, subtracts the variable t from the current time, and determines whether or not it is less than the wearing determination time (eg, 10 seconds) stored in the sensor wear memory 152. Step 703 for determining and determining whether to end or not (end determination step) is executed.

  If it is determined in step 703 that it is less than the attachment determination time, the sensorware control unit 151 ends the process. If it is determined in step 703 that the wear determination time is less than the time, the sensorware control unit 151 activates the sensorware calculation unit 154, and the infrared amount detected by the infrared sensor 157, the reference value stored in the sensorware memory 152, and And a step 704 (sensorware wearing determination step) of determining whether or not the user wears the sensorware depending on whether or not it is equal to or greater than the reference value is executed. If it is determined in step 704 that the device is not attached, the process returns to step 703. If it is determined in step 704 that the sensorware is mounted, the sensorware control unit 151 uses the sensorware ID stored in the sensorware ID storage unit 153 and the user status stored in the sensorware memory 152 as sensorware information. A transmitting step 705 (sensorware information transmitting step) is executed. In this example, since the sensorware ID “sensorw01” is stored in the sensorware ID storage unit 153 and the user status is not stored in the sensorware memory 152, in step 705, the sensorware ID “sensorw01” is assigned to the sensorware ID. Send as information.

  Next, the sensorware control unit 151 activates the user situation determination unit 159, determines the physical and mental situation of the user, and stores the process 706 (user situation determination process) as the user situation in the sensorware memory 152. Execute. As physical conditions, activity state (pulse rate, amount of activity), sleep state (sleeping), posture (suppose, prone, lying down), movement (during exercise, falls, aspiration), heart state (arrhythmia), etc. Can be determined. Moreover, a relaxed state (relaxation, tension), a feeling of comfort, misrepresentation, etc. can be determined as a mental condition. Next, as in step 704, the sensor wear control unit 151 determines whether the user is wearing sensor wear based on the result calculated by the sensor wear calculation unit 154 from the amount of infrared light detected by the infrared sensor 157. Step 707 (sensor wear wearing determination step) is executed. If it is determined in step 707 that the device is attached, the process returns to step 705. If it is determined in step 707 that the device is not worn, the operation is terminated.

  Thus, it can be used as an authentication device for identifying an individual by transmitting the sensorware ID only while wearing the sensorware. Further, in step 701, since the user wears the sensor wear 150, it is possible to determine the wearing operation such as lifting the sensor wear 150, placing it on the wrist, wrapping around the wrist, etc., so that it is possible to reduce the power consumption necessary for the processing in step 702. . In addition, after detecting the movement of the sensor wear, in step 703, it is possible to reduce power consumption by detecting whether or not the sensor wear is attached for a certain period of time. In this example, it is determined whether or not the sensor wear is mounted from the amount of infrared rays detected by the infrared sensor, but may be determined from the acceleration detected by the acceleration sensor. Accordingly, it can be determined whether or not the infrared light emitting diode is mounted without increasing the output frequency of the infrared light emitting diode, so that power consumption can be reduced.

  Further, instead of the acceleration sensor 158, a ball bearing mechanism may be provided and a motion sensor that detects a motion by a change in inclination or the like may be used. Thereby, the power consumption of the acceleration sensor can be reduced. Further, the sensor wear 150 includes a sensor wear control unit 151, a sensor wear memory 152, a sensor wear ID storage unit 153 that stores a sensor wear ID that is a unique ID for identifying the sensor wear, a sensor wear calculation unit 154, and a sensor wear wireless communication. You may comprise by the part 155 and a piezoelectric sensor. In the case of this configuration, a process in which step 701 is omitted is performed, and in steps 704 and 707, it is determined from the change in voltage output from the piezoelectric sensor whether or not it is mounted. In this example, it is assumed that the sensorware wireless communication unit 155 of the sensorware 150 and the sensor wireless communication unit 165 of the sensor device 160 communicate with weak wireless, but specific low power wireless, Bluetooth, IEEE802.11b, etc. Wireless communication may be used.

In this example, the sensorware wireless communication unit 155 of the sensorware 150 describes the operation of transmitting sensorware information in step 705 as a configuration capable of one-way communication (transmission only). In step 705, the sensorware ID may be transmitted after receiving the transmission request from the sensor device 160. In that case, the sensor wireless communication unit 165 of the sensor device 160 is configured to be capable of bidirectional communication (transmission and reception), and in step 802, transmits a sensorware information transmission request and receives the transmitted sensorware information. Perform the action. Thereby, since the timing which transmits / receives sensorware information synchronizes, the certainty of user authentication can be improved. The sensor device 160 may include a sensor control unit 161, a sensor memory 162, a sensor ID storage unit 163, a sensor communication unit 164, a sensor wireless communication unit 165, and a human sensor 166. Thereby, the sensorware information from the sensorware can be used as a repeater via the home server.
(2) The operation of this system will be described by taking as an example a case where a user wearing sensorware 150 uses a toilet.

FIG. 8 is a flowchart illustrating the operation of the sensor device 160 according to the embodiment of this invention.
When the power of the sensor device 160 is turned on, the sensor control unit 161 executes a step 801 (user detection determination step) for determining whether or not a user is detected based on an input from the human sensor 166. When the human sensor is a pyroelectric infrared sensor, the sensor control unit 161 receives the infrared amount detected by the pyroelectric infrared sensor, and detects the user when the increment of the infrared amount is a certain value or more. Is determined. If it is determined in step 801 that the user is not detected, the process returns to step 801. If it is determined in step 801 that the user has been detected, the sensor control unit 161 activates the sensor wireless communication unit 165, receives the sensorware information transmitted in step 702, and stores it in the sensor memory 162 (step 802 ( The sensorware information receiving step) is executed.

  In this example, the sensor wear ID “sensorw01” transmitted in step 705 is stored in the sensor memory 162. Next, the sensor control unit 161 activates the sensor communication unit 164 and stores the sensing result detected by the human sensor in step 801 in the device ID, sensor ID, and sensor memory 162 stored in the sensor ID storage unit 163. The process 803 (sensing information transmission process) which transmits as sensing information with the sensorware information containing the sensorware ID which was performed is performed. For example, when the detection result of the human sensor 166 is “1” indicating that the user is detected, in step 803, the sensor wear ID “sensorw01”, the device ID “sensord10”, the sensor ID “sensor11”, and the sensing result “1” ". The sensing information transmitted at step 803 is received by the home server 100. Here, the operation of the home server 100 will be described.

FIG. 9 is a flowchart showing the operation of the home server 100 according to the embodiment of this invention.
When the home server 100 starts operation, the server control unit 101 executes a step 901 (operation end determination step) for determining whether or not to end the operation. If it is determined in step 901 that the processing is to be ended, the operation of the home server 100 is ended. If it is determined in step 901 that the process does not end, step 902 (sensing information reception determination step) is performed to determine whether or not the sensing information transmitted in step 803 has been received. If it is determined in step 902 that sensing information has not been received, the process returns to step 901. If it is determined in step 902 that sensing information has been received, step 903 (sensing information storage step) is executed in which the received sensing information is stored in the server memory 102 together with the date and time of reception. Further, in step 903, a record of the sensor device table 310 storing the same sensor device ID as the sensor device ID of the received sensing information is extracted, and the location ID stored in the location ID field 314 of the extracted record is also the same. Store.

  For example, when the date and time when sensing information is received is “7:02 on April 2, 2004”, the sensorware ID “sensorw01”, the sensor device ID “sensord10”, the sensor ID “sensor11”, and the sensing result “1” are , The location ID “location10” and the sensing date and time “2004/04/02 07:02” are stored in the server memory 102. Next, the server control unit 101 activates the user authentication unit 104, authenticates the user based on the sensing information stored in the server memory 102, and stores the user ID of the authenticated user in the server memory 102 904. (User authentication step) is executed. In this example, the record 210A in which the sensorware ID “sensorw01” of the sensorware worn by the user is stored in the sensorware ID field 204 is extracted and stored in the user ID field 201 of the record 210A. The user ID “user0001” is stored in the server memory 102.

  Next, the server control unit 101 executes step 905 (user database storage step) of storing the sensing information, sensing date and time, and user ID stored in the user memory 102 in the sensing information history table 430 of the user database 113. In this example, the sensing information history record 430A of FIG. 5 is stored. Next, the server control unit 101 activates the sensing information determination unit 105, and based on the sensing information stored in the server memory 102, the sensing date and time, the user ID, and the check result stored in the check result history table, Sensing information determination knowledge records that match the knowledge-based sensor condition, time condition, and location ID described in the sensing information determination knowledge table 510 are extracted, the message ID is stored in the server memory 102, and the check ID and check result are A step 906 (message ID extraction step) of storing in the check result list on the server memory 102 together with the inquiry flag “N” and the check date is executed.

  At the same time, in step 906, the control command processing unit 117 is activated and the control command stored in the control command field 519 is executed. In this example, the user ID “user0001”, sensor ID “sensor11”, sensing result “1”, location ID “location10”, sensing date “2004/04/02 07:02” are stored in the server memory 102. Therefore, the user ID “user0001” matches the user ID in the user ID field 431, the location ID matches the location ID in the location ID field 515, and the sensor ID “sensor11” and the sensing result “1” are sensors in the sensor condition field. The sensing information determination knowledge record 510A that matches the condition and the sensing date and time “2004/04/02 07:02” matches the time condition in the time condition field is extracted, and the message ID “m000GM” is stored in the server memory 102.

  In this example, the check ID and the check result of the record 510 </ b> A are blank, so the check ID and the check result are not stored in the check result list on the server memory 102. Since the control command “day_sync” for synchronizing the check date is stored in the control command field 519, the check date “2004/04/02” is stored in the server memory 102, and the check result list on the server memory 102 is stored. The check result stored in (described later) and the message ID stored in the message ID list (described later) are deleted. Next, the server control unit 101 affirms that the message ID is stored in the server memory 102 and that the message ID is not stored in the message ID list on the server memory 102, and denies otherwise. A determination step 907 (message ID determination step) is executed.

  If it is determined as affirmative in Step 907, the server control unit 101 activates the inquiry unit 106, and based on the sensing information, sensing date and time, user ID, and message ID stored in the server memory 102, sensing information determination knowledge A sensing information determination knowledge record matching the knowledge-based sensor condition, time condition, place ID, and message ID described in the table 510 is extracted, and the question ID field of the inquiry master table 530 is extracted in the sensor condition field of the extracted record. The process 908 of extracting the question ID described in 531 and storing it in the question list on the server memory 102 (the process of extracting the question ID from the message ID) is executed. In this example, since the record that matches the message ID “m000GM” is only 510A, and there is no record in which the question ID is described, the question ID is not stored in the question list on the server memory 102.

  Next, the server control unit 101 extracts a message master record whose message ID stored in the server memory 102 matches the message ID in the message ID field 541, and stores the message master record in the message field 542 of the extracted message master record. The risk ID described in the message is extracted, the risk determination knowledge record whose extracted risk ID matches the risk ID in the risk ID field 522 is extracted, and the check ID of the extracted risk determination knowledge record is extracted and extracted Step 909 for extracting an inquiry master record whose check ID matches the check ID of the check ID field 532 and extracting at least one question ID of the extracted interview master record for each check ID (extracting the question ID from the message) Process To run. In this example, since the record that matches the message ID “m000GM” is only 510A, and there is no record in which the question ID is described, the question ID is not stored in the question list on the server memory 102.

  Next, the server control unit 101 determines whether or not a question ID is stored in the question list on the server memory 102, and selects one question ID and stores it in the server memory 102 (question ID determination) Step) is performed. Here, it is determined that the question ID is not stored. Next, the server control unit 101 displays the check result stored in the check result list (described later) on the server memory 102 together with the check date of the server memory. Step 914 (user database storage step) of storing in the user database is executed. Next, the server control unit 101 extracts an input / output terminal record in which the same location ID as the location ID stored in the server memory 102 is stored in the location ID field 322, and the device ID field 321 of the extracted record. Step 915 (interrogation information transmission step) of transmitting the inquiry information to the input / output terminal identified by the device ID stored in is executed.

  At the same time, in step 915, the message ID “m000GM” is stored in the message ID list on the server memory 102. In this example, based on the location ID “location10” stored in the server memory 102, the device ID “terminal10” is identified from the input / output terminal table 320, and the user name “Yoshiyuki Tada” of the user ID “user0001” is identified. The message “Good morning” in the message master table 540 that matches the message ID “m000GM” stored in the server memory 102 is transmitted as inquiry information to the input / output terminal 120 identified by the terminal ID “terminal10”. The inquiry information transmitted in step 915 is received by the input / output terminal 120. Here, the operation of the input / output terminal 120 will be described.

FIG. 10 is a flowchart showing the operation of the input / output terminal 120 according to the embodiment of this invention.
When the input / output terminal 120 starts operation, the terminal control unit 121 executes step 1001 (operation end determination step) for determining whether or not to end the operation. If it is determined in step 1001 that the process is to be ended, the terminal control unit 121 ends the operation of the input / output terminal 120. If it is determined in step 1001 that the process does not end, the terminal control unit 121 executes step 1002 (interrogation information reception determination step) for determining whether or not the inquiry information transmitted in step 905 has been received.

  If it is determined at step 1002 that the inquiry information has not been received, the terminal control unit 121 returns to step 1001. If it is determined in step 1002 that the inquiry information has been received, the terminal control unit 121 activates the terminal command processing unit 126 and performs step 1003 (terminal command processing step) for processing the terminal command included in the received inquiry information. Execute. Here, since the control command included in the received inquiry information is not included, nothing is executed. Next, the terminal control unit 121 executes a step 1004 (question ID determination step) for determining whether or not the received inquiry information includes a question ID. If it is determined in step 1004 that the question ID is not included, the terminal control unit 121 executes step 1011 (interrogation information display step) of displaying the received inquiry information on the display unit 124.

FIG. 11 is a diagram illustrating a screen example 1100 of the input / output terminal 120 to which a message is output when the process 1011 is executed in the embodiment of the present invention.
The example screen 1100 includes a virtual character 1111 and an inquiry window 1120 for displaying inquiry information. In the screen example 1100, the message “Good morning, Mr. Hiroyuki Tada” is displayed in the inquiry window 1120. Since the user name is displayed in this way, the user can recognize that it is inquiry information for himself without feeling uncomfortable. In step 801 shown in FIG. 8, the input / output terminal 120 may be turned on simultaneously when the human sensor 166 detects a user. Thereby, the standby power of the input / output terminal 120 can be reduced. Here, returning to FIG. 9, the server control unit 101 returns to Step 901 after Step 915 ends. Here, returning to FIG. 8, the sensor control unit 161 executes step 804 (variable i initial setting step) for initially setting the variable i to 1.

  Next, the sensor control unit 161 executes a step 805 (a variable i adding step) of adding one variable i. Next, the sensor control unit 161 executes step 806 (variable i determination step) for determining whether or not the variable i is equal to or less than the maximum value of the order information stored in the order field 621 of the sensor information 620 of the sensor memory 162. To do. If it is determined in step 806 that the variable i is equal to or less than the maximum value, biological information is sensed using a sensor whose order in the order field 621 matches the variable i, and the sensing result is stored in the sensor memory 162 (sensing) Step) is performed. Here, since “i = 2”, the sensor ID “sensor12” and the sensor type “alcohol sensor” are used for sensing. Next, the sensor control part 161 performs the process 808 (sensing information transmission process) which transmits the sensing result stored in the sensor memory 162 as sensing information with the sensorware information including sensorware ID.

  For example, when the sensing result of the alcohol sensor is “0.0”, in step 808, the sensorware ID “sensorw01”, the device ID “sensord10”, the sensor ID “sensor12”, and the sensing result “0.0” are transmitted. The sensing information transmitted in step 808 is received by the home server 100 as described above, and is received in steps 903, 904, and 905 (here, “7:03 on April 2, 2004”). ) Are stored in the server memory 102 together with the location ID. Next, the server control unit 101 executes Step 906. Here, the user ID “user0001”, the sensor ID “sensor12”, the sensing result “0.0”, and the sensing date and time “2004/04/02 07:03” are stored in the server memory 102. No information determination knowledge record is extracted, and no message ID is stored in the server memory 102. Therefore, the server control unit 101 determines negative in step 907 and returns to step 901. If it is determined in step 806 that the variable i is greater than or equal to the maximum value, the sensor control unit 161 transmits the special code, the sensor ID “sensor1E” and the sensing result “1” that are transmitted when the processing of the sensor device ends as sensing information. An end code transmission step 809 is executed.

  In this example, sensorware ID “sensorw01”, device ID “sensord10”, sensor ID “sensor1E”, and sensing result “1” are transmitted. The sensing information transmitted in step 808 is received by the home server 100 as described above, and the date and time received in steps 903, 904, and 905 (here, “April 2, 2004, 7: 3”). Is stored in the server memory 102 together with the location ID. Next, the server control unit 101 executes Step 906. Here, since the user ID “user0001”, the sensor ID “sensor1E”, the sensing result “1”, and the sensing date and time “2004/04/02 07:04” are stored in the server memory 102, the user ID “user0001” is stored. Then, the sensing information determination knowledge record 510E matching the sensor condition “sensor1E = 1” and the time condition “06: 00-12: 00” is extracted, and the message ID “m000SYA” is stored in the server memory 102. As a result, a screen example 1100A is displayed on the input / output terminal 120.

FIG. 12 is a diagram illustrating a screen example 1100A of the input / output terminal 120 to which a message is output in the embodiment of the present invention. In screen example 1100 </ b> A, an inquiry window 1120 displays “Mr. Y.
Thus, by receiving the sensorware ID only when the human sensor detects the user, it is possible to simultaneously identify the user authentication and the location where the user is (who is where). In addition, since the user can output the inquiry information to the input / output terminal laid in the place where the user is located without operating the input / output terminal, the user can unconsciously and easily input / output the terminal regardless of the place. Can be used.

  (3) The operation of this system will be described by taking as an example the case where the user wearing the sensorware 150 uses it after returning home (around 23:00 on April 2, 2004).

  When the user enters the toilet after returning home, the sensor device 160 installed in the toilet detects the user in step 801, and the sensor control unit 161 executes the process 802 and then in step 803, the sensor wear ID “sensorw01”, Sensor device ID “sensord10”, sensor ID “sensor11”, and “1” indicating that the user has been detected as a sensing result are transmitted as sensing information. The sensing information transmitted in step 803 is received by the home server 100, and the date and time (here, “April 2, 2004 23:10”) received in steps 903, 904, and 905 is the location ID. At the same time, it is stored in the server memory 102.

  Next, the server control unit 101 executes Step 906. Here, the user ID “user0001”, sensor ID “sensor11”, sensing result “1”, location ID “location10”, and sensing date and time “2004/04/02 23:10” are stored in the server memory 102. , The sensing information determination knowledge record 510C that matches the user ID “user0001”, the sensor condition “sensor11 = 1”, the time condition “21: 00-03: 00”, and the location ID “location10” is extracted, and the message ID “m000GE” Is stored in the server memory 102. As a result, a screen example 1200 is displayed on the input / output terminal 120.

FIG. 13 is a diagram illustrating a screen example 1200 of the input / output terminal 120 to which a message is output in the embodiment of the present invention. In the screen example 1200, “Mr. Hiroyuki Tada, Good evening” is displayed in the inquiry window 1120.
After executing step 803, the sensor control unit 161 executes steps 804, 805, 806, 807, and 808, and transmits sensing information. For example, when the sensing result of the alcohol sensor is “0.5”, in step 808, the sensor wear ID “sensorw01”, the device ID “sensord10”, the sensor ID “sensor12”, and the sensing result “0.5” are used as sensing information. Send. The sensing information transmitted in step 808 is received by the home server 100, and the date and time (here, “April 2, 2004 23:11”) received in steps 903, 904, and 905 is the location ID. At the same time, it is stored in the server memory 102.

  Next, the server control unit 101 executes Step 906. Here, the user ID “user0001”, sensor ID “sensor12”, sensing result “0.5”, location ID “location10”, sensing date and time “2004/04/02 23:11” are stored in the server memory 102. Therefore, the sensing information determination knowledge record 510F in which the user ID “user0001”, the sensor condition “sensor12 ≧ 0.5”, the time condition “18: 00-03: 00”, and the location ID “location10” are described is extracted, and the message ID “M000ALC” is stored in the server memory 102. The check ID “alcohol” and the check result “1” of the record 510F are stored in the check result list on the server memory 102 together with the inquiry flag “N” and the check date “2004/04/02 23:11”. . Next, the server control unit 101 determines affirmative in Step 907 and executes Step 908. In the case of the sensing information determination knowledge record 510F, since the record that matches the message ID “m000ALC” is only 510F, the question ID is not stored in the question list on the server memory 102, and it is determined in step 910 that there is no question ID. Step 914 is performed.

FIG. 14 is a diagram illustrating an example of the check result history table 440 after step 914 in the embodiment of the present invention.
In the example of FIG. 14 showing the results extracted from the check result history table 440 shown in FIG. 5, the check result history record 440A of the check result history table 440 includes “user0001” in the user ID field 441 and the check ID field 442. “Alcohol”, “1” in the check result field 443, “N” in the inquiry flag field 444, “2004/04/02” in the check date field 445, and “2004/04/02 23:11 in the check date field 446”. "Is stored. Next, the server control unit 101 executes step 915 and transmits inquiry information. As a result, a screen example 1300 is displayed on the input / output terminal 120.

FIG. 15 is a diagram illustrating a screen example 1300 of the input / output terminal 120 to which a message is output in the embodiment of the present invention. In the screen example 1300, the interview window 1120 is displayed with “Dr. Noriyuki Tada, you drank alcohol”.
As described above, the risk factor can be easily collected by the sensing information determination unit that determines the presence or absence of the risk factor using the sensing information determination knowledge table based on the input from the sensor. Next, an example when the sensing result of the alcohol sensor is “0.3” will be described. In step 807, when the sensing result of the alcohol sensor is “0.3”, in step 808, the sensorware ID “sensorw01”, the device ID “sensord10”, the sensor ID “sensor12”, and the sensing result “0.3” are sensed. Send as information. The sensing information transmitted in step 808 is received by the home server 100, and the date and time (here, “April 2, 2004 23:11”) received in steps 903, 904, and 905 is the location ID. At the same time, it is stored in the server memory 102. Next, the server control unit 101 executes Step 906.

  Here, since the user ID “user0001”, the sensor ID “sensor12”, the sensing result “0.3”, and the sensing date and time “2004/04/02 23:11” are stored in the server memory 102, the user ID “user0001” is stored. Sensing information determination knowledge records 510G and 510I in which “user0001”, sensor condition “0.1 ≦ sensor12 <0.5”, and time condition “18: 00-03: 00” are extracted, and message IDs “m000ALC1” and “m000ALC2” Store in the server memory 102. Next, the server control unit 101 executes Step 907. Here, the server control unit 101 determines affirmative, and then executes step 908. Here, records 510G and 510H conforming to the message ID “m000ALC1”, records 510I and 510J conforming to “m000ALC1” are extracted, and the question ID “qalc0001” is described in the sensor condition field of the extracted records 510H and 510J. The question ID “qalc0001” is stored in the question list on the server memory 102.

  Next, in step 910, the server control unit 101 determines that a question ID is stored in the question list on the server memory 102, selects one question ID from the question list, and stores it in the server memory 102. . Next, the server control unit 101 extracts an inquiry master record in which the same question ID as the selected question ID is stored in the question ID field 530, and checks the check ID field stored in the extracted record Step 911 (check result determination step) for determining whether the ID is stored in the check result list on the server memory 102 is executed. If it is determined in step 911 that the check ID is stored, the selected question ID is deleted from the question list on the server memory 102, and the process returns to step 910. If it is determined in step 911 that the check ID is not stored, the server control unit 101 extracts an inquiry master record in which the same question ID as the question ID selected in step 911 is stored in the question ID field 530. Then, as the inquiry information including the question ID, question contents, and options stored in the extracted record, the information is transmitted to the input / output terminal 120 identified by the device ID identified by the location ID stored in the server memory 102. Step 912 (interrogation information transmission step) is executed.

  In this example, the inquiry master record 530B in which the same question ID as the question ID “qalc0001” stored in the question list on the server memory 102 is described in the question ID field 530 is extracted, and the question ID “qalc0001” and the question content are extracted. “Did you drink alcohol?”, The choice “Yes” or “No” is identified by the location ID “location10” as the inquiry information together with the user name “Oda Noriyuki” of the user ID “user0001” The data is transmitted to the input / output terminal 120 identified by the terminal ID “terminal10”. The inquiry information transmitted in step 912 is received by the input / output terminal 120. After executing steps 1001, 1002, and 1003, in step 1004, it is determined that the inquiry information has a question ID, and the question content included in the inquiry information And a step 1005 of displaying options (interrogation information (question contents and options) display step).

FIG. 16 is a diagram showing a screen example 1300A of the input / output terminal 120 when the question contents and options are output as messages after the execution of the step 1005 in the embodiment of the present invention.
In the screen example 1300A, the question content “Dr. Y. Tada, did you drink alcohol?” 1301A, the first option “Yes” 1302A, and the second option “No” 1303A are displayed in the inquiry window 1120. Has been. Here, when the user selects the option “Yes” 1302A, the terminal control unit 121 transmits the selected option number (here “1”) together with the question ID “qalc0001” as an input result 1006 ( Execute input result transmission step). The home server 100 receives the input result transmitted in step 1006. The server control unit 101 receives the input result, stores it in the check result list on the server memory 102, and then executes a step 913 (input result receiving step) of deleting the received question ID from the question list on the server memory 102. . Here, in the check result list on the server memory 102, the question ID “qalc0001”, the option “1”, the check ID “alcohol”, the check result “1”, the inquiry flag “Y”, the check date “2004/04/02” 23:11 "is stored. After executing step 913, the process returns to step 910. Here, the server control unit 101 determines that the question ID is not stored in the question list on the server memory 102, and executes step 914 (user database storage step).

FIG. 17 is a diagram illustrating an example of the check result history table 440 according to the embodiment of this invention.
In the example of FIG. 17, the check result history record 440AA of the check result history table 440 includes “user0001” in the user ID field 441, “alcohol” in the check ID field 442, “1” in the check result field 443, and an inquiry flag field. “Y” is stored in 444, “2004/04/02” is stored in the check date field 445, and “2004/04/02 23:11” is stored in the check date field 446. In this way, even when the presence or absence of a risk factor is uncertain based on the input from the sensor, the risk factor can be easily and reliably collected by combining the sensing information determination unit and the inquiry unit. Next, the server control unit 101 executes step 915 (interrogation information transmission step) and transmits the inquiry information. As a result, a screen example 1300B is displayed on the input / output terminal 120.

FIG. 18 is a diagram illustrating a screen example 1300B of the input / output terminal 120 to which a message is output in the embodiment of the present invention. In the screen example 1300B, the interview window 1120 displays “Mr. Y. Hirota, you drank after all.”
Moreover, the question which stores in the inquiry master table 530 like 530A, 530C, and collects the same risk factor can be implemented by changing a question content and an option. As described above, since the question contents and options and the check ID and options can be stored for each question ID in the inquiry master table 530, the risk factors identified by the check ID can be collected by changing the question contents in various ways.

(4) The operation of this system will be described by taking as an example a case where the user wearing the sensorware 150 uses it at bedtime (around 1 o'clock on April 3, 2004).
When the user enters the bedroom for sleeping, the sensor device 160 ′ installed in the bedroom detects the user in step 801. After executing the step 802, in step 803, the sensor wear ID “sensorw01” and the sensor device ID “ “sensord30”, sensor ID “sensor11”, and “1” indicating that the user is detected as a sensing result are transmitted as sensing information. The sensing information transmitted in step 803 is received by the home server 100, and the date and time received in steps 903, 904, and 905 (here, “01:13 on April 3, 2004”) is the location ID. At the same time, it is stored in the server memory 102.

  Next, the server control unit 101 executes Step 906. Here, the user ID “user0001”, sensor ID “sensor11”, sensing result “1”, location ID “location30”, and sensing date “2004/04/03 01:13” are stored in the server memory 102. , The sensing information determination knowledge record 510L that matches the user ID “user0001”, the sensor condition “sensor11 = 1”, the time condition “23: 00-03: 00”, and the location ID “location30” is extracted, and the message ID “m000HCHK” Is stored in the server memory 102. As a result, a screen example 1400 is displayed on the input / output terminal 120 ′ installed in the bedroom.

FIG. 19 is a diagram illustrating a screen example 1400 of the input / output terminal 120 ′ to which a message is output in the embodiment of the present invention. In the screen example 1400, “Mr. Hiroyuki Tada, let's check your health” is displayed in the inquiry window 1120.
Thus, since this system outputs appropriate inquiry information according to time and place, the input / output terminal can be operated without a sense of incongruity in daily life. In this way, since this system changes the inquiry information according to time and place, risk factors can be collected without a sense of incongruity in daily life. After execution of step 803, steps 804, 805, and 806 are executed, and in step 809, the sensor ID “sensor1E” and the sensing result “1” are transmitted as sensing information. The sensing information transmitted in step 803 is received by the home server 100, and the date and time received in steps 903, 904, and 905 (here, “01:13 on April 3, 2004”) is the location ID. At the same time, it is stored in the server memory 102. Next, the server control unit 101 executes Step 906.

  Here, the user ID “user0001”, the location ID “location30”, the sensor ID “sensor11”, the sensing result “1”, and the sensing date and time “2004/04/03 01:13” are stored in the server memory 102. , The sensing information determination knowledge record 510N that matches the user ID “user0001”, the location ID “location30”, the sensor condition “sensor1E = 1”, and the time condition “00: 00-03: 00” is extracted, and the message ID “m000DRLF” Is stored in the server memory 102. Next, the server control unit 101 determines affirmative in Step 907 and executes Step 908. In the case of the sensing information determination knowledge record 510N, since the record that matches the message ID “m000DRLF” is only 510N, the question ID is not stored in the question list on the server memory 102.

  Next, in step 909, the server control unit 101 determines that there is a risk ID “DRLF”, and checks the record ID that matches the risk ID stored in the risk ID field 522 of the risk determination knowledge table 520 “alcohol”. , “Fattyfood” and “overeaten” are extracted, and the question ID of the record that matches the extracted check ID is extracted from the inquiry master 530 and stored in the question list on the server memory 102. One or more question IDs may be extracted for the same check ID. Here, it is assumed that the question IDs “qalc0000”, “qfat0000”, and “qove0000” are stored in the question list on the server memory 102.

  Next, the server control unit 101 determines in step 910 that the question ID is stored, and stores the question ID “qalc0000” in the server memory 102. Next, in step 911, in order to determine that the check ID “alcohol” of the question ID “qalc0000” is stored in the check result list on the server memory 102, the question ID “qalc0000” is deleted from the check result list, Return to step 910. Next, the server control unit 101 determines in step 901 that the question ID is stored, and stores the question ID “qfat0000” in the server memory 102. Next, in step 911, it is determined that the check ID “fattyfood” of the question ID “qfat0000” is not stored in the check result list on the server memory 102, and the question ID “qfat0000” is deleted from the check result list. 912 is executed. As a result, a screen example 1500 and a screen example 1600 are displayed on the input / output terminal 120 '.

  FIG. 20 is a diagram showing a screen example 1500 of the input / output terminal 120 ′ when question contents and options are output as messages in the embodiment of the present invention. In the screen example 1500, an inquiry window 1120 displays “Dr. Yasuyuki, did you eat fried foods?”.

  FIG. 21 is a diagram showing a screen example 1600 of the input / output terminal 120 ′ when the question content and options are output as messages in the embodiment of the present invention. In the screen example 1600, the inquiry window 1120 displays “Mr. Y. Hiroshi, did you eat too much?”.

  When the screen example 1500 shown in FIG. 20 is displayed and the user selects the option “Yes”, the check result list in the server memory 102 includes a check ID “fattyfood”, a check result “1”, an inquiry flag “Y”, and a check date and time. “2004/04/03 01:13” is stored. Similarly, for the question ID “qove0000”, the screen example 1600 of FIG. 21 is displayed on the input / output terminal 120 ′, and when the user selects the option “Yes”, the check ID “overeaten” is displayed in the check result list of the server memory 102. ”, Check result“ 1 ”, inquiry flag“ Y ”, and check date“ 2004/04/03 01:13 ”are stored. If it is determined in step 910 that the question ID is not stored, the server control unit 101 checks the check result stored in the check result list on the server memory together with the check date of the server memory in step 914. Store in the result history table 440. As described above, by storing the check date in the server memory 102, the risk factor of the check date can be reliably collected regardless of the use date and time of this system.

  Next, the server control unit 101 transmits inquiry information in Step 915. At this time, since the risk ID “DRLF” is described in the message stored in the message field 542 of the message record identified by the message ID “m000DRLF”, the server control unit 101 activates the risk determination unit 109. , Risk value (RiskValue = 100 × Σ (RFi × RIi) / n: n is the number of risk factors, RFi is a check result of risk factor i, RIi is an index of risk factor i, and Σ (addition) is i = 1, 2,..., N). For example, check result “1” and index “0.3” for risk factor “alcohol”, check result “1” and index “0.5” for risk factor “fattyfood”, and check for risk factor “overeaten”. From the result “1” and the index “0.2”, the risk value is calculated as “100”.

  As a result, the message “Today's life with hyperlipidemia is 100%” in which the risk ID “DRLF” is converted into the risk value “100” is transmitted as the inquiry information. In step 906, since the control command “show (RVTG)” is stored in the control command table 518 in the record 510N, the server control unit 101 interrogates the control command “show (RVTG)” as a terminal command. Add it to the information and send it. The transmitted terminal command is executed at step 1003. In the case of the terminal command “show (RVTG)”, the terminal control unit 121 activates the terminal command processing unit 126, makes an inquiry to the Web server 116 of the home server 100, receives the inquiry result, and displays it on the display unit 124. To do. As a result, a screen example 1700 is displayed on the input / output terminal 120 '.

FIG. 22 is a diagram showing a screen example 1700 of the input / output terminal 120 ′ when a transition of a message and a risk value (risk value trend graph 1710) is output in the embodiment of the present invention.
The example screen 1700 includes a risk value trend graph 1710 displayed when the process 1003 is executed, and an inquiry window 1120 displayed when the process 1011 is executed. In the screen example 1700, the interview window 1120 displays “Mr. Y. Hiroshi, 100% of today's life with hyperlipidemia”. In this way, the risk determination unit that calculates the risk value using the risk determination knowledge table based on the daily risk factors allows the user to objectively confirm the daily lifestyle, so that the lifestyle Improve improvement awareness. Further, by displaying the risk value trend graph, the user can visually confirm the transition of daily lifestyle habits, so that the awareness of improvement of lifestyle habits can be further improved. In this example, the risk value for hyperlipidemia is calculated, but a knowledge base for collecting risk factors may be constructed for lifestyle-related diseases such as diabetes, hypertension, obesity, arteriosclerosis, heart disease, and stroke. Thereby, the risk value for each lifestyle-related disease can be calculated and displayed as a message or a trend graph, and lifestyle-related diseases can be widely managed.

  The terminal command processing unit can also display information on the user database on the home server and information on the Internet to which the home server is connected according to the terminal command. Thus, according to this system, various information related to lifestyle improvement can be displayed on the input / output terminal according to the risk of lifestyle diseases of the user, so that convenience can be improved and the user can easily know knowledge about lifestyle improvement. You can get it.

(5) The operation of this system will be described by taking as an example a case where the user wearing the sensorware 150 enters a sleep state.
When the user enters a sleeping state in the bedroom, the sensorware control unit 151 activates the user status determination unit 159 in step 706, based on the amount of infrared detected by the infrared sensor 157 and the acceleration detected by the acceleration sensor 158. Then, the sleep state (sleeping) is determined, and the user situation “SLEEP” is stored in the sensorware memory 152. Next, after executing Step 707, the sensorware control unit 151 returns to Step 705 and transmits the user situation “SLEEP” stored in the sensorware memory 152 together with the sensorware ID “sensorw01” as sensorware information. The transmitted sensorware information is received by the sensor device 160 in step 802, and the sensorware ID “sensorw01” and the user status “SLEEP” are stored in the sensor memory 162.

  Further, in step 803, sensorware ID “sensorw01”, device ID “sensord30”, sensor ID “sensor11”, sensing result “1”, sensorware ID “sensorw01”, device ID “sensord30”, sensor ID “sensorw01”, Send the sensing result “SLEEP” as sensing information. The sent sensing information is received by the home server 100 in step 902 (the date and time when the sensing information was received is “01:21 on April 4, 2004”), the sensorware ID “sensorw01”, the sensor device ID “sensord10”, sensor ID “sensor11”, sensing result “1”, location ID “location30”, sensing date and time “2004/04/04 01:21”, sensorware ID “sensorw01”, sensor device ID “sensord10”, The sensor ID “sensorw01”, the sensing result “SLEEP”, the location ID “location30”, and the sensing date and time “2004/04/04 01:21” are stored in the server memory 102. In step 906, the message ID “m000GN” is stored in the server memory 102. As a result, a screen example 2000 is displayed on the input / output terminal 120.

FIG. 23 is a diagram showing a screen example 2000 of the input / output terminal 120 in the embodiment of the present invention. In the screen example 2100, “Mr. Yoshiyuki Tada, good night” is displayed in the inquiry window 1120.
In step 906, simultaneously, the control command processing unit 117 is activated to execute the control command “door (LOCK)”. Thereby, the door of the household equipment / home appliance 170 is locked. Here, an example is shown in which the door is locked, but a control command for locking the window, the gate, and the electric shutter can also be executed. Thus, according to this system, since the housing equipment can be controlled according to the user situation, it is possible to support crime prevention and improve safety. Also, control commands such as turning off the lights, changing the illuminance, turning off the air conditioner, raising / lowering the temperature, turning off the television / switching input / switching channels can be executed. Thus, according to the present system, home appliances can be controlled according to the user situation, so that energy saving can be supported and power consumption can be reduced. With the health management support system described above, risk factors for lifestyle-related diseases can be easily collected in daily life according to time and place, so appropriate lifestyle-related disease risks can be presented, and lifestyle improvement awareness Can be improved.

  Here, a case where a toilet and a bedroom are used has been described as an example. However, when a washroom and a bedroom are used, instead of the location ID of the sensor device installed in the toilet, the sensor device installed in the washroom is used. The place ID may be described in the place ID field of the sensor determination knowledge table. If the user wants to use only the toilet, the location ID of the sensor device installed in the toilet may be described in the location ID field of the sensor determination knowledge table of all records. In this way, a system for collecting risk factors at an arbitrary place can be easily constructed using this knowledge base. Moreover, although the case where one user uses was demonstrated here as an example, a plurality of users can also use it. In this case, the user ID stored in the personal information database need only be stored in the user ID field of the knowledge base. in this way. A system that can be used by any user can be easily constructed using this knowledge base.

  As described above, the health management support system can easily collect who (user ID), when (time condition), where (location ID), and what happened (sensor condition) in daily life. The sensor wear ID, sensor device ID, sensor ID, and terminal ID may be anything that can be identified, such as an IP address, a serial number, and a MAC address. If sensorware information cannot be received in step 802 for a preset waiting time (for example, 10 seconds), the sensorware ID “sensorw” and the user status “none” are stored in the sensor memory 162, and step 802 is terminated. May be. Thereby, in step 906, the control command “user_identify” of the sensing information determination knowledge record 510Q is executed, and the user ID is input at the input / output terminal. Thus, the present system can be used even when sensorware information cannot be received.

  According to the present invention, risk factors for lifestyle-related diseases can be easily collected in daily life according to time and place, presenting appropriate lifestyle-related disease risks, and improving lifestyle improvement awareness It is possible to provide a health management support system that can

The figure which shows the structure of the health management assistance system of the Example of this invention. The figure which shows the example of the personal basic information database of the Example of this invention. The figure which shows the example of the device information database of the Example of this invention. The figure which shows the example of the user database of the Example of this invention. The figure which shows the example of the knowledge base of the Example of this invention. The figure which shows the example of the sensor ID memory | storage part of the Example of this invention. The flowchart showing operation | movement of the sensorware of the Example of this invention. The flowchart showing operation | movement of the sensor device of the Example of this invention. The flowchart showing operation | movement of the home server of the Example of this invention. The flowchart showing operation | movement of the input / output terminal of the Example of this invention. The figure which shows the example of a screen of the input / output terminal in which the message is output in the Example of this invention. The figure which shows the example of a screen of the input / output terminal in which the message is output in the Example of this invention. The figure which shows the example of a screen of the input / output terminal in which the message is output in the Example of this invention. The figure which shows the example of a check result log | history table in the Example of this invention. The figure which shows the example of a screen of the input / output terminal in which the message is output in the Example of this invention. The figure which shows the example of a screen of the input / output terminal when the question content and the choice are output as a message in the Example of this invention. The figure which shows the example of the check result log | history table of the Example of this invention. The figure which shows the example of a screen of the input / output terminal in which the message is output in the Example of this invention. The figure which shows the example of a screen of the input / output terminal in which the message is output in the Example of this invention. In the Example of this invention, it is a figure which shows the example of a screen of the input / output terminal when a question content and an option are output as a message. In the Example of this invention, it is a figure which shows the example of a screen of the input / output terminal when a question content and an option are output as a message. The figure which shows the example of a screen of the input / output terminal when the transition of a message and a risk value is output in the Example of this invention. The figure which shows the example of a screen of an input / output terminal in the Example of this invention.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 100 ... Home server, 101 ... Control part, 102 ... Server memory, 103 ... Sensing information receiving part, 104 ... User authentication part, 105 ... Sensing information determination part, 106 ... Interrogation part, 107 ... Output part, 108 ... Acquisition of input result 109: Risk determination unit, 110 ... Server communication unit, 111 ... Personal basic information database, 112 ... Device information database, 113 ... User database, 114 ... Knowledge base, 115 ... Timer, 116 ... Web server, 117 ... Control command Processing unit, 120, 120 '... I / O terminal, 121 ... Terminal control unit, 122 ... Terminal ID storage unit, 123 ... Terminal communication unit, 124 ... Display unit, 125 ... Input unit, 126 ... Terminal command processing unit, 140 ... Network 150 ... sensorware 151 ... sensorware controller 152 ... sensor Air memory, 153... Sensorware ID storage unit, 154... Sensorware calculation unit, 155... Wireless communication unit, 156... Infrared light emitting diode, 157. ... Sensor device, 161 ... Sensor control unit, 162 ... Sensor memory, 163 ... Sensor ID storage unit, 164 ... Sensor communication unit, 165 ... Sensor wireless communication unit, 166 ... Human sensor, 169 ... Sensor connection unit, 167 ... Risk Factor collection sensor, 170 ... Housing equipment / home appliance, 200 ... Example of personal basic information database, 201 ... User ID field, 202 ... Password field, 203 ... Personal information field, 204 ... Sensorware ID field, 210A ... Personal basic information Database records, 300 ... 310 ... Sensor device table, 320 ... I / O terminal table, 311 ... Device ID field, 312 ... Sensor ID field, 313 ... Sensor type field, 314 ... Location ID field, 315 ... Location information field, 321 ... Terminal ID field, 322 ... Location ID field, 323 ... Location information field, 400 ... Example of user database, 430 ... Sensing information history table, 430A ... Sensing information history record, 431 ... User ID field, 432 ... Sensorware ID field 433 ... Device ID field, 434 ... Sensor ID field, 435 ... Sensing result field, 436 ... Sensing date / time field, 440 ... Check result history table, 440A, 44 0B, 440C, 440AA ... Check result history record, 441 ... User ID field, 442 ... Check ID field, 443 ... Check result field, 444 ... Interrogation flag field, 445 ... Check date field, 446 ... Check date / time field, 500 ... Knowledge Example of base, 510 ... Sensing information determination knowledge table, 510A, 510C, 510E, 510F, 510G, 510H, 510I, 510J, 510L, 510N, 510P, 510Q ... Sensing information determination knowledge record, 511 ... User ID field, 512 ... Message ID field 513 ... Sensor condition field 514 ... Time condition field 515 ... Location ID field 517 ... Check ID field 518 ... Check result field 519 ... Control command field, 520 ... Risk judgment knowledge table, 521 ... User ID field, 522 ... Risk ID field, 523 ... Check ID field, 524 ... Index field, 530 ... Interview master table, 530A, 530B, 530C ... Interview master record, 531 ... Question ID field, 532 ... Check ID field, 533 ... Question content field, 534 ... Option field, 535 ... Check result field, 540 ... Message master table, 541 ... Message ID field, 542 ... Message field, 600 ... Example of sensor ID storage unit, 610 ... Sensor device ID information, 611 ... Sensor device ID, 620 ... Sensor ID information, 621 ... Sensor order, 622 ... Sensor ID, 62 ... Sensor type motion detection determination process, 702. Variable t initial setting process, 703. End determination process, 704. Sensor wear mounting determination process, 705. Sensor wear information transmission process, 706. User situation determination process, 707 ... sensorware mounting determination process, 801 ... user detection determination process, 802 ... sensorware information reception process, 803 ... sensing information transmission process, 804 ... variable i initial setting process, 805 ... variable i addition process, 806 ... Variable i determination step, 807 ... Sensing step, 808 ... Sensing information transmission step, 809 ... End code transmission step, 901 ... Operation end determination step, 902 ... Sensing information reception determination step, 903 ... Sensing information storage step, 904 ... User authentication process, 905... User database storage process, 906. Sage ID extracting step, 907... Message ID determining step, 908... Extracting question ID from message ID, 909... Extracting question ID from message, 910 .. question ID determining step, 911. ... Interrogation information transmission step, 913 ... Input result reception step, 914 ... User database storage step, 915 ... Interrogation information transmission step, 1001 ... Operation end determination step, 1002 ... Interrogation information reception determination step, 1003 ... Terminal command processing step, 1004 ... Question ID determination step, 1005 ... Interview information (question contents and options) display step, 1006 ... Input result transmission step, 1011 ... Interview information display step, 1100, 1100A, 1200, 1300, 1300A, 1300B, 1400, 1500, 1600 1700, 2000 ... Input / output terminals Screen example of, 1111 ... virtual character, 1120 ... interview window, 1301A ... question content, 1302A ... 1303A ... choices, 1710 ... risk value trend graph.

Claims (5)

  (1) A sensor device having a sensor that detects biological information and a sensor device communication unit that transmits the detected biological information, (2) a server communication unit that receives the biological information, and a storage unit that stores the received biological information (3) an input / output terminal; (4) a network in which the sensor device, the home server and the input / output terminal can communicate; and (5) a risk factor for lifestyle-related diseases is stored. A risk determination knowledge base, a sensor determination knowledge base storing sensor conditions for determining the presence or absence of the risk factor from the biological information detected by the sensor, and a question and answer option for collecting risk factors are stored. (6) reading out sensor conditions of the sensor determination knowledge base, and A sensor determination unit for determining whether or not there is a risk factor in comparison with information, and storing it in the storage unit together with a check result that the risk factor is present when it is determined that there is a risk factor; and (7) the risk determination knowledge base A risk factor that is not stored in the storage unit in comparison with the risk factor stored in the storage unit, and the question and answer options for collecting the extracted risk factor are the inquiry knowledge base An inquiry unit that extracts the selected answer selection branch and outputs it to the input / output terminal, obtains the selected answer choice as a check result, and stores the risk factor in the storage unit together with the check result; and (8) the risk of the storage unit A health management support system comprising: a risk determination unit that calculates a risk value of lifestyle-related diseases from factors and check results and outputs the risk value to the input / output terminal .   The health management support system according to claim 1, further comprising: a sensorware ID storage unit that stores a sensorware ID that identifies sensorware to be worn on a subject; and a sensorware communication unit that transmits the sensorware ID. The home server includes a personal basic information database that stores a user ID that identifies the subject and the sensorware ID, and a user authentication unit that authenticates the subject. The base management unit has a knowledge base stored for each user ID, the sensor device communication unit receives the sensorware ID, transmits biometric information together with the sensorware ID, and the server communication unit , Receiving the sensorware ID and biometric information, and the user authentication unit is configured to receive the personal information based on the received sensorware ID. The information base is searched to extract the user ID, the knowledge base corresponding to the extracted user ID is read from the knowledge base management unit, and the processes of the sensor determination unit, the inquiry unit, and the risk determination unit are executed. A health care support system characterized by that.   The health management support system according to claim 1, wherein the sensor device includes a sensor device ID storage unit that stores a sensor device ID for identifying the sensor device, and the home server includes the sensor device ID and a previous device ID. A terminal ID for identifying an entry output terminal; and a device information database for storing a location ID for identifying a location where the sensor device and the input / output terminal are installed. The sensor determination knowledge base includes the location ID. A place condition that can be described is stored, the sensor device communication unit transmits biometric information together with the sensor device ID, the server communication unit receives the sensor device ID and biometric information, and receives the received sensor device ID. Based on the device information database, the location ID is extracted, and the extracted location ID A knowledge base that matches the place ID described in the place condition is read out from the knowledge base management section, and each process of the sensor determination section, the inquiry section, and the risk determination section is executed, and the extracted place ID is stored. In addition, the device management database is searched to extract a terminal ID and output to an input / output terminal identified by the extracted terminal ID.   2. The health management support system according to claim 1, wherein the home server includes a timer that outputs a date and time, the sensor determination knowledge base stores a time condition that can describe a start time and an end time, and the timer A health management support system that reads from the knowledge base management unit a knowledge base whose date and time output by the knowledge base matches the time condition, and executes the processes of the sensor determination unit, the inquiry unit, and the risk determination unit .   2. The health management support system according to claim 1, wherein the home server has one or a plurality of housing facilities or home appliances, and the home server processes a control command for controlling the housing facilities or home appliances and the input / output terminal. A command processing unit, wherein the sensor determination knowledge base stores the control command together with a sensor condition, reads the sensor condition of the sensor determination knowledge base, and compares the detected value detected by the sensor with a matching control command. A health care support system characterized by

Images