JP6578246B2 - Life monitoring system - Google Patents

Description

  The present invention relates to a network system suitable for detecting a change in the lifestyle of a person to be watched over, such as an elderly person, and detecting in advance a dangerous state such as a disease or injury of the person watching over.

  In recent years, various services for elderly households have been proposed due to the arrival of an aging society. For example, Japanese Laid-Open Patent Publication No. 2005-115411 discloses a life monitoring system that can easily and appropriately set notification information in accordance with the life situation of the person being watched over. In this system, the host computer creates living behavior data that makes it possible to analyze the living behavior of the watching target person based on the living information of the watching target person accumulated in the management database, and based on the displayed living behavior data Perform the action indicated.

JP 2005-115411 A

  Since elderly people usually do not have a fixed habit such as work or attending school, their daily life patterns, including daily wake-up time and bedtime, are usually different for each individual. Furthermore, it is difficult for a third person to confirm the life pattern of an elderly person due to the tendency of the elderly person to stay in the room and the nuclear family. And elderly people also tend to endure changes in their physical condition, and when a poor physical condition is manifested, for example, by a third person, there is a problem that the disease progresses and the response is delayed. However, the life pattern and physical condition of the elderly are greatly different among individuals, and the effect of watching is not sufficient simply by acquiring the life information of the watching target person as in the conventional watching system.

  Therefore, an object of the present invention is to provide a system that can predict changes in the physical condition of a person to be watched such as an elderly person based on the life information of the person to be watched, and can be applied to watching the life of a target person.

  In order to achieve the above object, the present invention is a network system comprising a detection device that detects a person's life information from a living space, a computer system, and a communication network that connects the detection device and the computer. The computer system includes a memory that stores a detection value transmitted from the detection device via the communication network, and a computer that performs a calculation process. The computer stores the detection value stored in the memory. Based on the mode value of the life information for a predetermined period, the night mode of the person is identified based on the mode value, the identified night mode of life is evaluated, and the result of the evaluation Is notified.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to provide the system which can estimate the physical condition change of a monitoring target person, such as elderly people, based on the life information of a monitoring target person.

1 is a hardware block diagram illustrating an embodiment of a network system. It is one Embodiment of the functional block diagram of the watching process performed by the computer system. It is one Embodiment of the flowchart performed by a computer system. It is an example of the graph which shows transition of the mode of the hourly mode value of electric power consumption for one day. It is a graph which shows an example of the change of the mode value of power consumption. It is a graph which shows the other example of the change of the mode value of power consumption. It is a graph which shows the further another example of the change of the mode value of power consumption. It is a graph which shows an example of a monthly transition of the number of night activities. It is a hardware block diagram which shows other embodiment of a network system. It is a hardware block diagram which shows other embodiment of a network system. It is one Embodiment of the flowchart of the monitoring process based on the power consumption of the network system of FIG. 10, and water consumption. It is a graph which shows the change of the mode value according to time of the amount of water consumption of three months.

  Next, an embodiment of the present invention will be described. FIG. 1 is a hardware block diagram showing an embodiment of a life watching system. This system is preferably applied to watch over elderly people and the like. Changes in the physical condition of the person being watched over are caused by a gradual change in their life patterns and a gradual decrease in the amount of life. .

  In the network system for watching the life of the target person, the physical condition of the watch target gradually changes based on the use information of the living resources (electric power and water) in the watch target person's living space, that is, the life information. And to be able to prevent the onset of illness in the person being watched over. Note that “watching” may be referred to as “observation” or “monitoring”.

  The network system includes a watch center 1 as a data center, a home server 3 installed in a living space (residence space (home or room)) 2 of a person to be watched, and a centralized monitoring terminal for a service provider 4, a resident display device 5, and a network 6 that connects these to each other so that they can communicate with each other. The watching center 1 may be operated by a service provider.

  The home server 3 and the resident display device 5 are provided for each living space. The home server 3 may be arranged so as to integrate a plurality of living spaces. Two rooms 2a and 2b are illustrated as living spaces for the person being watched over. A plurality of constituent elements that can be regarded as the same or the same are given a common reference number, and a plurality of constituent elements are attached with a and b suffixes when they are to be distinguished from each other. And

  Living spaces (living room 2a, living room 2b) are roughly divided into living rooms 7a and 7b and bedrooms 9a and 9b. 11b and lighting fixtures 12a and 12b, which are connected to commercial power sources 13a and 13b, respectively.

  Power sensors 14a and 14b are installed in the immediate vicinity of the commercial power sources 13a and 13b, and the power of each room supplied from the commercial power source 13 to each room (room 2a and room 2b) is measured by the power sensor. Detection signals (power amount signals) 15a and 15b of the power sensors 14a and 14b are input to the home servers 3a and 3b.

  The watching center 1 (computer system) is connected to the home servers 3a and 3b via the network 6, and receives the electric energy detection signals 15a and 15b from the home servers 3a and 3b via the data input / output control unit 16. The watching center 1 includes the data input / output control unit 16 described above, a host computer 17, and a database 18.

  The host computer 17 includes an input unit 19 and a display unit 20 for managing data and monitoring. The input unit 19 includes a known input device such as a keyboard and a touch panel, and the display unit 20 includes a known display device such as a liquid crystal display. The network 6 is composed of a communication network such as the Internet or a public telephone communication network.

The host computer 17 includes a CPU (Central Processing Unit) and a ROM (Read Only).
Memory (RAM) and RAM (Random Access Memory), ROM, HDD (Hard Disc Drive), or a program downloaded via the network 6 is expanded to RAM or HDD, and these storage devices are used as buffers The process defined in the program is executed.

  The host computer 17 calculates the amount of power consumption (life information) per hour for each of the rooms 2a and 2b based on the power amount detection signals 15a and 15b. The database 18 includes specific data (name, age, address, living environment such as living alone, medical history, etc.), time series data of life information of the monitoring target person, and the life of the monitoring target person. Information analysis results are recorded for each person to watch.

  The host computer 17 records the power consumption per predetermined time, for example, every hour, in the database 18 for each person to be watched over. These pieces of information are easily retrieved by the management terminal 4 or the host computer 17, and the service provider can provide desired information to the user.

  FIG. 2 shows a functional block diagram of the watching process executed by the host computer 17. The host computer 17 adapts the watching process to the life information (power consumption per hour) and records the obtained information in the database 18.

  The host computer 17 monitors the life information recorded in the database 18 at a predetermined timing, for example, at 24:00 on the last day of every month, based on, for example, the power consumption for the past three months including the current month. Apply a watch-over process for the elderly.

  For the watching process, the host computer 17 includes a location determination module 200 that determines whether or not the person being watched is located in the living space, a mode value determination module 202, a wake-up time of the person being watched, and bedtime A life time calculation module 204 for calculating a life time composed of time and activity time, a night activity frequency calculation module 206 for calculating the number of activities of the person being watched at night (from bedtime to wake-up time), and calculation value recording A module 208 and a calculated value analysis module 210 are provided. Each module is realized by software or software and hardware. The host computer 17 outputs the analysis result of the calculated data to the service provider centralized monitoring terminal 4 and the resident display devices 5a and 5b via the network 6.

  Next, the operation of the functional block diagram will be described with reference to FIG. The location determination module 200 calculates, from the database 18 every hour, for example, an average value of power consumption per hour in the same time zone as the same living space (same room) for one month (S (step) 1). .

  Then, the location determination module 200 compares the average value and the power detection value. If the latter is 30% or less of the former, the person to be watched is absent in the living space for 1 hour when the power is detected. If there is, the “absence flag” is set in the detection value so that the detection value is not included in the watching process (S2).

  Next, the mode value determination module refers to the power consumption per hour for three months of the same month, the previous month, and the previous month in the same living space (same room) from the database 18, and determines the mode. Calculate the value. As a result, a mode value every hour for 24 hours in the same living space (same living room) is obtained. The mode value determination module sets this as the current month data (S3). Here, the reason for adopting the mode value is as follows.

  As already mentioned, life patterns and amounts of living vary among individuals in the elderly, and even if they are the same person, the way of life varies depending on physical condition, mood, etc., and the amount of use of living resources varies depending on them. . If the average value is used, the change in the life pattern and the amount of life is canceled out, whereas the mode value can be said to have no or little problem. In this embodiment, the power consumption is divided into a plurality of classes, and the average of the plurality of power consumptions of the class having the largest distribution frequency of the power consumption is set to “mode”. You may make it have.

  The life time calculation module 204 is based on the mode value for each hour of 24 hours, for example, in order to identify the life mode of each room from the change in power consumption (mode value) for each time. The bedtime is determined, the activity time of the day is calculated, and this is recorded in the database 18 as that of the current month.

  Then, the night activity frequency calculation module 206 calculates or determines the activity frequency of the person being watched over at night (from bedtime to wake-up time), and records this in the database as the current month (S4). The life time calculation module 204 creates display data for the 24-hour transition of the mode value, and the night activity count calculation module 206 creates the display data for the transition of the night activity count and forms a graph. Are displayed on the centralized monitoring device 4 for the service provider (S5).

  Next, the calculated value analysis module 210 evaluates or analyzes the transition of the mode of each month for 24 hours and the transition of the number of night activities per month (S6). Compare and output information based on the comparison result. More specifically, the calculated value analysis module 210 determines whether or not “transition” changes with the same or similar tendency continuously for a plurality of months (February). When this determination is negative, the calculated value analysis module 210 ends the flowchart of FIG. 3, and when this determination is affirmative, a predetermined warning or caution is output (S7-S14).

  When the wake-up time is earlier in two consecutive months, the calculated value analysis module 210 indicates that this is the central monitoring terminal 4 for the service provider and / or the monitoring target person side terminal (resident display device) 5a. , 5b (S7).

  If the wake-up time is delayed for two consecutive months, the calculated value analysis module 210 displays this on the service provider's centralized monitoring terminal 4 and / or the watching target terminal 5a, 5b (S8). ).

  If the bedtime has been earlier for two consecutive months, the calculated value analysis module 210 displays this on the central monitoring terminal 4 for the service provider and / or the monitoring target person side terminals 5a and 5b (S9). ).

  When the bedtime has been delayed for two consecutive months, the calculated value analysis module 210 displays this on the central monitoring terminal 4 for the service provider and / or the monitoring target person side terminals 5a and 5b (S10). ).

  When the number of night activities increases for two consecutive months, the calculated value analysis module 210 displays this on the centralized monitoring terminal 4 for service provider and / or the monitoring target person side terminals 5a and 5b (S11). ).

  When the number of night activities decreases for two consecutive months, the calculated value analysis module 210 displays this on the service provider's centralized monitoring terminal 4 and / or the watching target person side terminals 5a and 5b ( S12).

  When the activity time of the day has increased for two consecutive months, the calculated value analysis module 210 displays this on the centralized monitoring terminal 4 for the service provider and / or the monitoring target person side terminals 5a and 5b. (S13).

  When the activity time of the day decreases for two consecutive months, the calculated value analysis module 210 displays this on the centralized monitoring terminal 4 for the service provider and / or the monitoring target person side terminals 5a and 5b. (S14).

  FIG. 4 is an example of a graph (S5 in FIG. 3) showing the daily transition of the hourly mode 21 of power consumption for three months created by the life time calculation module 204. The calculated value analysis module 210 determines the time when the low-level nighttime power is increased as the wake-up time 23, and determines the time when the low-level value is reached at night as the bedtime 24. The interval between bedtime 24 and wake-up time corresponds to nighttime.

  Then, the calculated value analysis module 210 determines that the time from the wake-up time 23 excluding the going-out time during which the power consumption is low during the bedtime 24 is the activity time 25. Further, the calculated value analysis module 210 determines that the night activity 22 has occurred at the peak of the mode 21 at night, and sets the number of peaks as the number of night activities.

  As a result of detailed analysis of the life patterns of elderly people, especially living alone, the present inventor has found that the beginning of changes in the physical condition of the elderly people has no change in the way of living during the day, and changes in the way of living at night. I found it easy to appear. If it is possible to objectively detect a slight change in the lifestyle of the night, it is possible to catch a change in the physical condition of the elderly at the first stage, predict a future disease, and deal with this. The change of the night life mode is, for example, the state of S7 to S14 in FIG. An objective change in a night-life manner is that a tendency that is different from the previous one appears in a night-life manner, not temporarily.

  When the mode values are compared based on the short-term mode values of life information (power consumption), temporary changes in life styles are judged as changes in physical condition, while long-term modes When the value is used as a reference, there is a problem that a non-temporary change in the lifestyle cannot be captured. Therefore, there is a reasonable period to detect signs of changes in the physical condition of the elderly, and the inventor has examined it. For example, the most frequent three-month life information (power consumption) It has been found that the value is preferred.

  This will be described by taking an elderly person (80-year-old woman) who developed physical condition change (dementia) as an example. Fig. 5 shows the mode of power consumption for six months before the onset (solid line) and the mode of power consumption for seven months before the onset, based on the mode of power consumption for one month. It is a graph which shows a change. If the mode value of one month is used as a reference, there will be a difference in the amount of power consumption between them in many time zones of the day, and it will not be possible to detect non-temporary changes in the lifestyle of the elderly.

  Fig. 6 is a graph showing daily changes in power consumption 6 months before the onset (solid line) and 7 months ago (dotted line) based on the mode of power consumption in 6 months. is there. If the mode value of 6 months is used as a reference, there is no difference in the tendency of power consumption between the two even at night, and it is not possible to detect a change in lifestyle.

  On the other hand, FIG. 7 uses the mode of power consumption for three months as a reference, and the power consumption per day for the power consumption six months before the onset (solid line) and the power consumption seven months before (dotted line). It is a graph which shows the change of quantity. The mode value is more than 1 month and less than 6 months, preferably 2 months or more and 5 months or less, more preferably 3 months or more and 4 months or less, more preferably about 3 months. Then, a difference came to appear in the amount of power consumption at night between both.

  Although it has been stated that the physical condition change of the elderly appears as a change in the night life style at the initial stage, it is particularly prominent in the number of night activities due to sleep disorders such as insomnia. FIG. 8 is a graph showing an example of monthly transition of the number of night activities based on the mode value of power consumption for three months. In the figure, in an elderly person with a life abnormality 80, the number of night activities starts to increase in the following month 27 through a stable life period 26 in which the number of night activities does not change, and if the next month also increases, the alert 28 is given. Do. In FIG. 8, no change in night activity is detected in the life stable person 82. In addition, you may make it alert | report when it increases also in the next month. In the above-described embodiment, the mode of power consumption for three months is used, but a moving average of the mode of power consumption for three months may be used.

  Next, a second embodiment will be described. FIG. 9 is a hardware block diagram of the network system according to the second embodiment. This embodiment is different from the first embodiment in that it includes power sensors 21a and 21b of the air conditioners 10a and 10b and power sensors 22a and 22b of the thermal devices 20a and 20b, and the home servers 3a and 3b consume these power consumptions. It is a point that can know.

  The power consumption of the air conditioners 10a and 10b and the thermal appliances 20a and 20b varies greatly depending on the season, and the host computer 17 determines the air conditioner (air conditioner) and the thermal appliance (hot water supply equipment) from the amount of power consumed (main power).・ Excludes seasonal fluctuation factors by excluding power consumption of heaters, and by subtracting seasonal fluctuation factors, the actual fluctuation of living information (living power) that changes according to the physical condition of the elderly, for example, information on lighting equipment, TV / radio, etc. The power consumption of the device can be specified.

  FIG. 10 is a hardware block diagram showing still another embodiment of the network system. This embodiment is different from the above-described embodiment in that water usage can be detected in addition to power consumption. The living rooms 7a and 7b have bathroom faucets 29a and 29b, toilet faucets 30a and 30b, and kitchen faucets 31a and 31b. Water usage sensors 32a and 32b are installed to measure the water usage. Then, the water usage sensor signals 33a and 33b of the water usage sensor 32 are input to the home servers 3a and 3b of the living rooms 2a and 2b. In the present embodiment, the host computer 17 obtains the mode value of the water usage amount for each measurement time from the water usage amount data in the past arbitrary period when the user is present in the room, and stores it as the current month data.

  FIG. 11 is a flowchart of the watching process based on the power consumption and the water consumption by the host computer 17 in the network system of FIG. The steps described below are added to the above-described flowchart (FIG. 3). In step 15, the mode value (water consumption) for each time of each room is obtained from the water usage data for the three months of the current month, the previous month, and the previous month of each room, and used as the current month data. In step 16, the number of times of night water use is calculated as data for the current month from the change in the mode value of the water consumption. In step 17, when the number of nighttime water usage is increasing, it is notified that the number of nighttime water usage is increasing. In step 18, when the number of nighttime water usage is decreasing, the number of nighttime water usage is increased. Notify that is decreasing.

  FIG. 12 is a graph showing changes in the mode value 33 for each hour of the water consumption for three months. The peak at night of the mode 33 corresponds to the number of night activities 34. Although changes in the physical condition of the elderly appear as a change in the way of life at night, the network system detects the changes in the night life of the elderly in more detail from the use of water at night in addition to the use of electricity at night. can do. As a cause of the increase in the amount of water consumption and the number of times of use at night, there is, for example, modulation of water metabolism (frequent urination). Not only the increase in the number of nighttime activities based on the amount of power consumption, but also the increase in the amount of water consumption and usage at night, the degree of change in life that leads to changes in the physical condition of the watched person is greater. Is predicted.

  The above-described embodiment does not limit the present invention, and the above-described embodiment can be appropriately changed. For example, the present invention can be applied even when there are a plurality of persons in the living space.

1 Monitoring Center 3 Home Server 4 Centralized Monitoring Terminal 5 for Service Provider 5 Resident Display 6 Network Network 14 Power Sensor 16 Data Input / Output Control Unit 17 Host Computer 18 Database 32 Water Quantity Sensor

Claims (4)

A detection device for detecting a person's life information from the living space;
A computer system,
A communication network connecting the detection device and the computer system;
A network system comprising:
The computer system is
A memory for storing a detection value transmitted from the detection device via the communication network;
A computer that performs the computation,
With
The computer
Based on the detection value stored in the memory, find the mode value of the life information for a predetermined period,
Identifying the person's night life mode based on the mode value,
Assessing the identified nighttime lifestyle,
Notify the result of the evaluation ,
Identifying the person's night life mode includes identifying the number of night activities of the person;
Wherein the computer evaluates the identified nighttime lifestyle includes comparing the number of nighttime activities with a predetermined condition;
Life monitoring system for the person. The life monitoring system according to claim 1, wherein the life information is electricity consumption by the person in the living space. The life monitoring system according to claim 1, wherein the life information is electricity consumption and water consumption by the person in the living space. The mode in which the computer obtains the mode value of the detected value includes obtaining the mode value by excluding the amount of electricity consumed in the air conditioner and the thermal equipment from the total amount of electricity consumed. Life monitoring system.

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