JP2012128502A - Health maintaining condition estimating device based on amount of power consumption and estimating method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To grasp health maintenance conditions of individual power consuming residents and to estimate occurring conditions of various kinds of health disorders by using trends in power consumption that are grasped at intervals of 30 minutes from a visualized amount of power consumption measured at the intervals of 30 minutes.SOLUTION: An estimating method of an occurring condition of a health disorder with respect to a health maintenance condition comprises the steps of: accumulating an amount of power consumption variation data pattern figure by accumulating an amount of power consumption input at intervals of 30 minutes in chronological order and by using the amount of power consumption variation data pattern figure formed based on a variation of daily power consumption; and selecting an estimated health disorder occurring condition pattern figure with respect to an approximate health maintenance condition based on a degree of a variation pattern reflected with an amount of power consumption variation measured at the intervals of 30 minutes by comparing a daily amount of power consumption variation data pattern figure with an estimated occurring condition of health disorder variation pattern figure with respect to stored individual health maintenance conditions.

Description

  The present invention relates to a health maintenance state estimation device and a health maintenance state estimation method based on power consumption, that is, a change in power consumption.

  Utilize existing facilities of electric power companies to obtain information related to the lives of individual customers who are residents of electricity demand in remote areas, and efficiently support the life of customers as one of the services of electric power companies. Has been proposed.

  Patent Document 1 describes that the health condition of a customer is grasped by monitoring a change in the trend of power consumption that is grasped by a watt hour meter that measures the amount of power supplied to the customer's home. .

  In Patent Document 2, the total power consumption is measured at regular time intervals in the vicinity of the power customer's feeder line inlet, and the absolute value of the total power consumption change at each regular time interval is obtained as target data, and the constant data is obtained. For each calculation time step, for a data group composed of a plurality of the target data obtained in the past certain time width, using a preset value k, “the number of the target data exceeding that value is the data K% value which is “k% with respect to the total number of groups” is calculated, and the presence or absence of intentional operation of a resident on the electric equipment in the electric power consumer is determined based on whether or not the k% value fluctuates. A method for estimating a living situation of a power consumer resident characterized by estimation is described.

  Patent Document 3 includes data on the usage status of public services such as electricity, gas, water, etc. of individual contractor's houses received by the receiving unit and individual data on standard use of each individual contractor's house stored in the standard usage database. And a means for determining whether the condition is normal or abnormal, and an anomaly notifying means for notifying the occurrence of an abnormality when the determination means determines that the condition is abnormal.・ The remote care support system for care recipients is described.

  Patent Document 4 discloses an automatic meter-reading system that is connected to a subscriber telephone line and performs data communication between a center and a terminal device via a network control device, and uses the amount of power used per unit time in a consumer, for example, every 15 minutes. Counting and recording are described.

JP 2008-097296 A JP 2005-174249 A JP 2003-006337 A JP-A-5-7250

  As described in Patent Document 1, it is known to use the existing facilities of an electric power company to grasp the health condition of a power demand resident by monitoring changes in the trend of grasped power usage. It is. In this case, the power usage trend is monitored based on the accumulated data on the same day of the previous year or the same time data on the previous day. Further, as described in Patent Document 2, it is known to measure the total power consumption at regular time intervals to estimate the presence / absence of a resident's intentional operation on each electrical device. Further, as described in Patent Document 3, it is known to notify the occurrence of an abnormality by comparing the situation of individual electricity use with the situation of standard use.

  By the way, with the idea of the recent smart grid concept construction, the amount of power used by each individual electricity demand resident has been measured and visualized in units of 30 minutes.

In view of this point, the present invention is intended to maintain the health of individual residents who demand electricity by using usage trends measured and visualized in units of 30 minutes or less of the amount of power used. The purpose is to propose an apparatus or method for grasping the situation and estimating the occurrence of various health disorders.
Another object of the present invention is to further improve the grasp of the health maintenance status of residents who consume electricity and the estimation of the occurrence of various health disorders by combining with life information acquired by an existing human sensor.

  In order to solve the above problems, the present invention uses a power consumption measured in units of 30 minutes or less, thereby causing a health disorder occurrence phenomenon with respect to a health maintenance situation for a unit power consumption pattern corresponding to 24 hours. By using existing facilities owned by electric power companies, it is possible to easily estimate the occurrence of health problems with respect to health maintenance status, and use the results as one of the services of electric power companies. Provide efficiently.

Specifically, the present invention measures the amount of power used at regular intervals with a meter of power consumption used attached to the power supply line to the house of the electricity demand resident, and the amount of power consumed is measured at regular time intervals. A health maintenance state estimation device based on a change in power consumption that estimates the health maintenance state of a power demand resident from a change trend of power consumption that can be read from change data.
In the database, it is acquired in advance in the form of a daily power consumption change data pattern diagram and a power consumption change data pattern diagram obtained from the power consumption measured in advance at regular intervals within 30 minutes with the power consumption meter. The relationship between the health disorder occurrence state estimated change pattern and the health maintenance state is stored,
The input means inputs the used electric energy supplied to the house of the electric power demand resident, measured by the used electric energy meter every certain time within 30 minutes,
The health state estimation means uses the input power consumption change data pattern diagram formed based on the daily power consumption change by accumulating the input power usage at regular intervals within 30 minutes in time order, Accumulated power consumption change data pattern diagrams, and compare the power consumption change data pattern diagram for each day with the estimated change pattern of health disorder occurrence status for each individual health maintenance state for a certain period of time within 30 minutes Select the health disorder occurrence state estimation pattern diagram for the health maintenance state that approximates the degree of the change pattern that reflects the change in power consumption for each, and estimate the health disorder occurrence state for the health maintenance state A health maintenance state estimation device based on a change in amount is provided.

  According to the present invention, the health state estimating means statistically calculates an estimated number of health disorder occurrence states with respect to a health maintenance state by using a power consumption amount change pattern diagram integrated for one month, and makes it an integrated data. A health maintenance state estimation device based on a change in power consumption is characterized.

  The present invention also includes a screen display device, and the screen display device displays the health demand occurrence state estimation data pattern diagram for the health maintenance state stored on the screen and the power demand estimated by the health maintenance estimation means. Provided is a health maintenance state estimation device based on a change in power consumption, wherein a health disorder occurrence state estimation pattern diagram for a resident's health maintenance state is displayed.

  The present invention further includes a biological information measuring device, and the input means measures the biological information obtained by measuring the resident who demands power in a state in which the biological information measuring device specifies the measurement time. The health maintenance estimation means estimates the health disorder occurrence state with respect to the health maintenance state in a state where the acquired biological information and time are synchronized with the power consumption change data pattern. A health maintenance state estimation device based on a change in electric energy is provided.

  According to the present invention, the biometric information measuring device evaluates the fatigue level of the resident of the electricity demand resident by using the amount of active oxygen metabolite in the blood as an index, and the health maintenance estimating means uses the amount of power used. Provided is a health maintenance state estimation device based on a change in power consumption, characterized by estimating a health disorder occurrence state with respect to a health maintenance state in a state synchronized with a change data pattern diagram.

The present invention measures the amount of power used at regular intervals with a meter for measuring the amount of power used attached to the power supply line to the home of the electricity demand resident, and collects data on the change in the amount of power used at regular time intervals. , A health state estimation method by a health maintenance state estimation device based on a change in power consumption used to estimate the health maintenance state of the power demand resident from the change trend of the power consumption read from the change data,
In the database, it is acquired in advance in the form of a daily power consumption change data pattern diagram and a power consumption change data pattern diagram obtained from the power consumption measured in advance at regular intervals within 30 minutes with the power consumption meter. The relationship between the health disorder occurrence state estimated change pattern and the health maintenance state is stored,
The input means inputs the used electric energy supplied to the house of the electric power demand resident, measured by the used electric energy meter every certain time within 30 minutes,
The health state estimation means uses the input power consumption change data pattern diagram formed based on the daily power consumption change by accumulating the input power usage at regular intervals within 30 minutes in time order, Accumulated power consumption change data pattern diagrams, and compare the power consumption change data pattern diagram for each day with the estimated change pattern of health disorder occurrence status for each individual health maintenance state for a certain period of time within 30 minutes Select the health disorder occurrence state estimation pattern diagram for the health maintenance state that approximates the degree of the change pattern that reflects the change in power consumption for each, and estimate the health disorder occurrence state for the health maintenance state Provided is a health state estimation method by a health maintenance state estimation device based on a quantity change.

  As described above, the present invention uses the degree of the change pattern of the power consumption every 30 minutes for estimating the health failure occurrence state with respect to the health maintenance state, so that it is easy to use existing facilities owned by the power company. Thus, the estimation can be performed uniquely, and the result can be efficiently provided to a power demand resident as one of the services of the electric power company.

  Furthermore, by adding biological information, the estimation can be made highly accurate.

The figure which shows the concept of the health maintenance state estimation apparatus which is an Example of this invention. The figure which shows the structure of a health maintenance estimation apparatus with a block. Comparison diagram of power consumption change pattern diagram in health maintenance state. The power consumption change pattern figure of the stored health maintenance state. The power consumption change pattern figure of the measured health maintenance state. The power consumption change pattern figure of a health disorder occurrence state. The power consumption change pattern figure of a health disorder occurrence state. The power consumption change pattern figure of a health disorder occurrence state. Health maintenance power consumption change screen. The figure which shows the concept of the health maintenance state estimation apparatus which is the other Example of this invention.

  Embodiments of the present invention will be described below with reference to the drawings.

  FIG. 1 is a diagram illustrating a concept of a health maintenance state estimation device 100 that is an embodiment of the present invention.

  A power supply line 2 is drawn into a house (including each residence of an apartment house) 1 so that the power consumption meter 3 can measure the power consumption. In this way, the feeder line 2 is connected to various electric appliances 5 in the house, and the integrated power consumption is measured by the power consumption meter 3. Then, the electricity usage fee is calculated and billed according to the monthly power consumption.

  In the present embodiment, the power consumption measured by the power consumption meter 3 is a health maintenance state estimation device (hereinafter referred to as health maintenance state estimation device) based on a change in power consumption via a communication line 8 such as a subscriber telephone line. Sent to 100).

  As will be described in detail below, this health state estimation device 100 measures the amount of power used at regular intervals with a meter of power consumption meter attached to the power supply line to the home of the electricity demand resident, and then at regular time intervals. The change in the amount of power used for each power is collected, and the health maintenance state of the power demand resident is estimated from the change tendency of the amount of power used that can be read from the change data.

  FIG. 2 is a block diagram illustrating the configuration of the health maintenance state estimation device 100.

  In FIG. 2, the health maintenance state estimation device 100 includes an input unit 11, a health state estimation unit 12, an output and communication unit 13, a database 14, and a screen display unit 15, and these units are connected by a communication line 19. It is. The input means 11 receives the power consumption 16 measured by the power consumption meter 3 (FIG. 1) and the biological information 17 measured by the biological information measuring instrument 7 (FIG. 1). The biological information 17 from the biological information measuring instrument 7 may not be input. The health maintenance state estimation device 100 is particularly suitable for use when a single electricity demand resident resides in the house 1, but in the case of a plurality of individuals, individual power can be obtained by taking appropriate measures. It can be used by estimating the amount of power used in the demand residence.

  The input means 11 inputs the amount of used power supplied to the power consumer's house measured by the used power meter 3 every 30 minutes via the communication line 8 (FIG. 1). Here, every 30 minutes is based on the fact that, by the smart grid concept, the measurement at each house was conventionally performed every 30 minutes and visualized, that is, visualized.

  Measurement in units of 30 minutes or more is not desirable in terms of accuracy, and measurement is preferably performed within 30 minutes. Hereinafter, a case where measurement is performed every 30 minutes will be described as an example.

  In the database 14, daily usage power change data acquired by the usage power amount measured in advance by the usage meter 3 every 30 minutes is accumulated. A daily power consumption change data integration pattern diagram is created in advance from the integrated power usage change data and stored in the database 14. Thus, the used power change data accumulation pattern diagram with respect to the health maintenance state of the power demand resident is related. In the case of using the usage power change data integration pattern diagram without using the usage meter 3, the usage power generated from the average data using the data actually measured and collected for a large number of power demand residents. A change data pattern diagram is used. Further, the database 14 stores a health disorder occurrence state change pattern diagram for a health maintenance state created from a collection of data acquired from a large number of residents who demand electricity. This health disorder occurrence state estimated change pattern diagram is created and stored in the above-described power consumption change data integrated pattern diagram format. The daily power consumption change data obtained by measuring every 30 minutes is a short-time measurement of every 30 minutes, so that intentional electricity use is well reflected and power consumption is accumulated. It is excellent for grasping the phenomenon that often shows the life situation of the person.

  As described above, the database 14 includes the daily power consumption change data pattern diagram and the power consumption change data pattern diagram format obtained from the power consumption measured in advance every 30 minutes with the power consumption meter. The relationship with the health disorder occurrence state estimated change pattern diagram with respect to the health maintenance state acquired in advance is stored.

  The health condition estimation means 12 forms a daily usage power amount change data integration pattern diagram using the inputted measurement usage energy data every 30 minutes and the daily integration data. Formation of this figure can be performed by extracting the magnitude of the change accompanying the change in the amount of power used as a feature and patterning it with a straight line according to a predetermined method. For cases that are difficult to form, the person in charge may draw a pattern diagram and input it to the computer. In any case, the power consumption change data pattern diagram formed based on the daily power consumption change is used. This daily power consumption change data accumulation pattern diagram is accumulated for one month.

  The health condition estimation means 12 compares the change pattern diagram of the amount of power used for each individual, that is, in many cases, for each day, with the estimated change pattern of the occurrence of health disorder with respect to the health maintenance condition stored in the database 14. By this comparison, the degree of the change pattern reflecting the change in power consumption every 30 minutes, that is, the health disorder occurrence estimated state pattern diagram for the health maintenance state approximated from the trend is selected, and the health disorder occurrence estimation for the health maintenance is selected. The state is estimated. In this comparison, examples of exceptional power usage, such as going out on a trip, can be excluded. These estimation results are accumulated for each individual electricity demand resident on a monthly basis. For example, it may be every 10 days. The health disorder occurrence change pattern with respect to the health maintenance state is monitored in order to grasp all the health disorder occurrence cases used for the estimation that deviates from the health maintenance state. This is to be done by comparing the figures. Daily health maintenance status is monitored, and it is important for the electricity demand residents to monitor daily deviation from this status, and monitoring the estimated health hazard occurrence status is the next step. Become.

  The accumulated result data is transmitted to the output and communication means 13. The output and communication means 13 estimates that it is in a health maintenance state for every resident of power demand, for example, every month, or is in a health disorder occurrence state with respect to the health maintenance state, and performs output 18. This output 18 is transmitted to the data center of the electric power company. Transmission may be performed every day and stored in the data center of the power company. When the estimated state of occurrence of each health disorder is stored in the database 14, it is immediately estimated that the estimated state of occurrence of each health disorder is present. Even in this case, first, it is estimated whether the patient is in a health maintenance state.

  The accumulated results are displayed on the screen of the screen display means 15. On the screen, a diagram showing the comparison of the health maintenance state pattern to be compared and a diagram showing the health disorder occurrence estimated state change pattern with respect to the health maintenance state is shown, and the final confirmation is made by visual recognition of the responsible person in charge. Only the result of the final confirmation is output from the output and communication means 13 described above.

  FIG. 3 is a diagram of the used power amount change data pattern using the used power amount change pattern diagram formed based on the daily used power amount change by integrating the input power amounts every 30 minutes in time order. FIG. 6 shows an example of comparing health disorder occurrence estimated state pattern diagrams with respect to stored individual health maintenance states. FIG. 3 shows a comparison of power consumption change data patterns in the health maintenance state, and it is estimated that both patterns are in the health maintenance state by indicating that the power consumption trend is approximated.

  The comparison diagram shown in FIG. 3 is a diagram showing a daily power consumption pattern when the health stored in the database 14 shown in FIG. 4 is maintained. Acquired when the amount of power used every 30 minutes is measured and stored in a bar graph during storage. Or the average electric power consumption pattern figure acquired by the measurement for every 30 minutes about many electric power demand residents whose health is maintained is used.

  FIG. 5 shows the power consumption pattern obtained together with the bar graph when the power consumption every 30 minutes is measured and measured in the form of a bar graph at the time when a specific power demand resident maintains health.

  FIG. 3 shows the power consumption measured every 30 minutes, the measured power consumption pattern (FIG. 4) and the stored power consumption pattern (FIG. 5) using FIG. 4 and FIG. Yes. In this way, both power consumption patterns are compared, and it is estimated that both patterns are in a health maintenance state when the power consumption trend is approximated. If it is difficult to determine whether to approximate, it is determined whether to approximate compared to the power consumption pattern shown in FIGS. 6, 7, and 8 described later.

  The example shown in FIG. 6 is a case of a cognitive disease case that is out of the health maintenance state. In this case, it is estimated that the power consumption increases rapidly in the first half of the morning, and decreases in the second half of the morning and further toward the afternoon. Therefore, the power consumption pattern is estimated to be a mountain shape. This mountain-shaped power consumption pattern is significantly different from the measured power consumption pattern shown in FIG. 3 or FIG.

  The example shown in FIG. 7 is a case of a bedridden case. In this case, it is estimated that the power consumption is flat throughout the day, and when the helper responds, the power consumption tends to increase for a short period of time. This flat or single sudden power consumption increase pattern is significantly different from the measured power consumption pattern shown in FIG. 3 or FIG.

  The example shown in FIG. 8 is a case of frequent urination. In this case, during the daytime, the power consumption of the mountain shape is shown three times as when the health is maintained. It is estimated that the amount of electric power used is slightly increased when urinary stool is applied at night, and the number of times is increased many times. The power consumption pattern between the two points is significantly different from the measured power consumption pattern shown in FIG. 3 or FIG.

  In these drawings, the pattern diagram is formed by a straight line, but may be formed by a smooth curve.

  As described above, the power consumption pattern shown in FIGS. 6, 7, and 8 deviates significantly from the power consumption change data pattern in the health maintenance state shown in FIG. From these facts, it is possible to easily grasp that the data pattern is a change in power consumption amount in a health disorder occurrence state.

FIG. 9 shows a health maintenance usage power change screen 90.
9 is preferably formed from a daily power consumption change screen 91, a health maintenance state screen 92, a health failure occurrence estimation screen 93, and a measured biological information screen 94.

  On the daily power consumption change screen 91, the state of the daily power consumption change of the electricity demand resident is displayed momentarily by measurement every 30 minutes. The person in charge of the electric power company can monitor the change in daily power consumption of each electric power demand resident on the screen.

  On the health maintenance state screen 92, typical examples of the daily power consumption of the electricity demand resident are displayed as indicating the health state, and the tendency in that case is displayed as one pattern or a plurality of patterns. It is.

  A pattern based on the measured power consumption is displayed with the same time as the pattern indicating the above-mentioned health condition. In many cases, this pattern is the same as the pattern indicating the health condition, and a record is made that there is no change in the health condition of the electricity demand resident on that day. If it is determined that the pattern display has changed significantly and the pattern is different, it is recorded that the occurrence of a health disorder is estimated. This determination may be made by a computer by comparing with a predetermined change tendency and digitizing (for example, the number of peaks in the pattern), or may be made visually by monitoring by a supervisor. These data are compiled as monthly data.

  The health disorder occurrence estimation screen 93 displays symptoms estimated by a pattern based on the measured power consumption.

  The monitor can estimate the health disorder occurrence state with respect to the health maintenance state by monitoring the display pattern of the health maintenance state screen 92 and the health disorder occurrence estimation screen together.

  The monitor can estimate the health maintenance occurrence state with respect to the health maintenance state more reliably by referring to the measured biological information screen 94 by a method described later. These estimations may be automatically estimated by a computer.

  The measured biological information screen 94 needs to be displayed.

  By displaying these screens on one screen, it becomes easy to estimate the health failure occurrence state with respect to the health maintenance state by comparison, but the display may be made for each screen.

  FIG. 10 is a diagram for explaining a second embodiment of the present invention. The configuration is basically the same as that of the first embodiment, and the description of the first embodiment is adopted. Therefore, the description is not repeated here, and new matters will be mainly described.

  FIG. 10 is a diagram illustrating a concept of the health maintenance state estimation device 100 according to the embodiment of the present invention.

  A power supply line 2 is drawn into a house (including each house of an apartment house) 1 of an individual power demand resident so that the power consumption meter 3 can measure the power consumption. In this way, the feeder line 2 is connected to various electric appliances 5 in the house, and the integrated power consumption is measured by the power consumption meter 3. Then, the electricity usage fee is calculated and billed according to the monthly power consumption.

  In addition, a communication line 9 made of an optical fiber is attached to the house 1 of a power demand resident through an optical fiber connector 4. Various biological information is acquired by the various biological information measuring devices 7. In addition, the usage status of various electrical appliances 5 is individually measured by a power consumption meter attached to the various electrical appliances, and communicated to the optical fiber connector 4 as various electrical appliance usage energy amounts.

In the present embodiment, the power consumption measured by the power consumption meter 3 is transmitted via the communication line 8, and the biological information measured by the biological information measuring instrument 7 or the power consumption of various electric appliances is transmitted via the communication line 9. Is transmitted to the health maintenance state estimation device 100 based on the change in power consumption.
The biometric information measuring device 7 acquires the biometric information of the power demand resident in a state where the measurement time is specified.

  This biological information measuring instrument 7 includes an active oxygen measuring instrument that evaluates the fatigue level of the occupants of electricity demand using the amount of other active oxygen metabolites in the blood as an index. The measurement result is digitized with the person ID attached.

  In addition, the biological information measuring instrument 7 includes a human sensor, specifies the measurement time, senses the daily movements of the occupants of power demand, and is digitized.

  In the state where the input means 11 (FIG. 1) specifies the measurement time when the measurement value of the biological information measuring instrument 7 or various electric appliance electric energy specifies the measurement time, the biological information or various electric appliance electric power obtained by measuring the electric power demand resident Quantity information is input via a communication circuit.

The health maintenance estimation means 12 estimates the health disorder occurrence state with respect to the health maintenance state in a state where the acquired biological information or various electric appliance power amount information and time are synchronized with the used power amount change data pattern. .
By using such biometric information in combination with the power consumption trend, it is possible to more reliably determine whether or not a health disorder has occurred with respect to the health maintenance state.

  DESCRIPTION OF SYMBOLS 1 ... House of electric power demand resident (customer), 2 ... Feed line, 3 ... Electric power meter, 5 ... Various electric appliances, 7 ... Biological information measuring device, 8 ... Communication line, 9 ... Optical fiber Communication line, 11 ... input means, 12 ... health condition estimation means, 13 ... output and communication means, 14 ... database, 15 ... screen display means, 100 ... health maintenance state estimation apparatus.

Claims (6)

Measures the amount of power used at regular intervals with a meter for measuring the amount of power used attached to the power supply line to the house of the electricity demand resident. A health maintenance state estimation device based on a change in power consumption to estimate the health maintenance state of the occupants of electricity demand from the change trend of the power consumption that can be read,
In the database, it is acquired in advance in the form of a daily power consumption change data pattern diagram and a power consumption change data pattern diagram obtained from the power consumption measured in advance at regular intervals within 30 minutes with the power consumption meter. The relationship between the estimated health change occurrence state change pattern diagram and the health maintenance state is stored,
The input means inputs the used electric energy supplied to the house of the electric power demand resident, measured by the used electric energy meter every certain time within 30 minutes,
The health state estimation means uses the input power consumption change data pattern diagram formed based on the daily power consumption change by accumulating the input power usage at regular intervals within 30 minutes in time order, Accumulated power consumption change data pattern diagrams, and a comparison of the daily power consumption change data pattern diagram and the stored health disorder occurrence estimated state change pattern diagram for each individual health maintenance state for a certain period of time within 30 minutes Select the health disorder occurrence estimated state pattern diagram for the health maintenance state that approximates the degree of the change pattern that reflects the change in the power consumption for each, and estimate the health disorder occurrence state for the health maintenance state Health maintenance state estimation device based on quantity change.   2. The health condition estimation means according to claim 1, wherein the estimated number of health disorder occurrence estimated states with respect to the health maintenance state is statistically collected as aggregated data by using a power consumption change pattern diagram accumulated for one month. A health maintenance state estimation device based on a change in power consumption.   2. The electric power demand residence estimated by the health maintenance occurrence estimation state data pattern diagram for the health maintenance state stored on the screen and the health maintenance estimation means according to claim 1, comprising a screen display device. A health maintenance state estimation device based on a change in power consumption, characterized by displaying a health disorder occurrence estimated state pattern diagram for a person's health maintenance state.   4. The biological information according to claim 1, further comprising a biological information measuring instrument, wherein the input means measures and acquires the occupant of electric power demand in a state where the biological information measuring instrument specifies a measurement time. The health maintenance estimation means estimates the health disorder occurrence state with respect to the health maintenance state in a state where the acquired biological information and time are synchronized with the power consumption change data pattern. A health maintenance state estimation device based on a characteristic change in power consumption.   5. The biological information measuring instrument according to claim 4, wherein the fatigue level of the electricity demand resident is evaluated by using the amount of active oxygen metabolite in blood as an index, and the health maintenance estimation means is configured to change the amount of power used. A health maintenance state estimation device based on a change in power consumption, characterized by estimating a health disorder occurrence state with respect to a health maintenance state in a state synchronized with a data pattern diagram. Measures the amount of power used at regular intervals with a meter for measuring the amount of power used attached to the power supply line to the house of the electricity demand resident. A health state estimation method by a health maintenance state estimation device based on a change in power consumption amount that estimates a health maintenance state of a resident of the electricity demand from a change tendency of a power consumption that can be read
In the database, it is acquired in advance in the form of a daily power consumption change data pattern diagram and a power consumption change data pattern diagram obtained from the power consumption measured in advance at regular intervals within 30 minutes with the power consumption meter. The relationship between the estimated health change occurrence state change pattern diagram and the health maintenance state is stored,
The input means inputs the used electric energy supplied to the house of the electric power demand resident, measured by the used electric energy meter every certain time within 30 minutes,
The health state estimation means uses the input power consumption change data pattern diagram formed based on the daily power consumption change by accumulating the input power usage at regular intervals within 30 minutes in time order, Accumulated power consumption change data pattern diagrams, and a comparison of the daily power consumption change data pattern diagram and the stored health disorder occurrence estimated state change pattern diagram for each individual health maintenance state for a certain period of time within 30 minutes Select the health disorder occurrence estimated state pattern diagram for the health maintenance state that approximates the degree of the change pattern that reflects the change in the power consumption for each, and estimate the health disorder occurrence state for the health maintenance state A health state estimation method by a health maintenance state estimation device based on a quantity change.

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