JP7440894B2 - Circadian rhythm change determination device and method - Google Patents

Description

The present invention relates to a circadian rhythm change determination device and method. The circadian rhythm (circadian rhythm) is controlled by the suprachiasmatic nucleus of the hypothalamus in the brain, and is also called the internal clock or biological clock, and changes the internal environment on an approximately 24-hour cycle that is internal to the body. Refers to physiological phenomena.

In Patent Document 1, charts of daily power consumption patterns are prepared for each of the health maintenance state, dementia case, bedridden case, and frequent urination case, and the measured daily power consumption pattern is Disclosed is a health maintenance state estimating device that estimates a state of occurrence of a health disorder based on whether or not it approximates either.

Japanese Patent Application Publication No. 2012-128502

In Patent Document 1, a daily power usage pattern diagram (graph shape) is used to determine whether a person is maintaining health, dementia, bedridden, or frequent urination. Since the daily power consumption pattern is used, changes or abnormalities in the circadian rhythm or lifestyle pattern described above (for example, a shift to a night owl, sudden awakening during bedtime, etc.) are detected. It is not suitable for understanding.

An object of the present invention is to make it possible to determine changes or abnormalities in circadian rhythm using power usage data over a relatively long period of time, such as one month, half a year, or one year.

The circadian rhythm change determination device according to the present invention includes a receiving means for receiving power consumption data including a measurement date and a usage time zone identification code transmitted from a smart meter at regular time intervals, and a power consumption data received by the receiving means. a storage means for storing energy consumption data; and a time period average for calculating an average power consumption for each usage time period in the predetermined period using a plurality of pieces of power consumption data stored in the storage means during the predetermined period. The apparatus comprises: an electric power consumption calculating means; and a first determination means for determining a change in the circadian rhythm by comparing the calculated average electric power consumption by time period with the average electric power consumption by time period in a predetermined period in the past. ing.

In the circadian rhythm change determination method according to the present invention, the receiving means receives power usage data including a measurement date and a usage time zone identification code transmitted from a smart meter at regular time intervals, and transmits the received power usage data. The average power consumption by time of use during the predetermined period is calculated using a plurality of pieces of power consumption data stored in the storage device and calculated by the time period average power consumption calculation means during the predetermined period. The determination means compares the calculated average power consumption by time period with the average power consumption by time period in a predetermined period in the past to determine a change in the circadian rhythm.

The power usage data measured by the smart meter is sent to the circadian rhythm change determination device at regular time intervals, along with the measurement date and usage time zone identification code. For example, power consumption data is sent to a circadian rhythm change determination device at 30-minute intervals, and in that case, 48 types of usage time zone identification codes are used; Accompanied by one of the signs.

A plurality of pieces of power consumption data stored in the storage means for a predetermined period are used to calculate an average power consumption for each usage time period for a predetermined period. The predetermined period for calculating the average amount of power used can be set arbitrarily, and can be set to one month, for example. In this case, multiple pieces of power usage data sent from the smart meter at fixed time intervals over the course of a month are used to calculate the average power usage for each usage time period. For example, if power usage data is sent from a smart meter every 30 minutes, power usage data will be sent 48 times a day, so 48 x 30 days = 144 pieces of power usage data will be used. Then, the average power consumption for each usage time period is calculated every 30 minutes.

The usage time interval for calculating average power usage basically depends on the time interval at which power usage data is sent from the smart meter. If the smart meter sends power usage data every 30 minutes, the time period interval for calculating the average power usage is also every 30 minutes, for example, 00:00 to 00:30, 00:30 to 01:00. 00, etc. However, it is not always necessary to match them completely; for example, if power usage data is sent from a smart meter at 30-minute intervals, the average power usage by time of use may be calculated on an hourly basis. .

According to this invention, the circadian rhythm is adjusted by comparing the average amount of electricity used by time of day for a predetermined period (typically the most recent predetermined period) with the average amount of electricity used by time of day for a predetermined period in the past. Changes are determined. For example, it is possible to understand changes in electricity usage time over a relatively long period of time, such as one month, and this allows us to understand changes in circadian rhythm. Of course, it is also possible to ascertain changes in power usage time over a longer period, such as half a year or one year (predetermined period).

Various algorithms can be used to determine changes in circadian rhythm by comparing the average amount of power used by time of day for the most recent predetermined period with the average amount of power used by time of day for a predetermined period in the past. In one embodiment, the first determining means determines that the time period having the peak value of the average power consumption by time period in the most recent predetermined period has the peak value of the average power consumption by time period in the past predetermined period. A change in circadian rhythm is determined when the time has shifted to a predetermined time later than the current time zone. The time period that shows the peak value of electricity consumption in general households is around 6:00 p.m. to 11:00 p.m., and if the time period when electricity consumption peaks is shifted to a certain period later in the day, the circadian rhythm may be affected by the night shift. There is a high possibility that there is a change in the circadian rhythm, and a change in the circadian rhythm is determined. For example, in the early stages of dementia patients, their daily rhythms often change to night owls. Determining changes in circadian rhythms can also be used to diagnose early symptoms of dementia.

In another embodiment, the circadian rhythm change determination device performs a second determination for determining abnormality in the circadian rhythm based on a peak value that appears in a low power usage time period in the calculated average power usage for each time period. have the means. Unlike the above-described first determining means, the second determination means uses the average power consumption by time period in the most recent predetermined period, rather than the comparison using the past average power consumption by time zone. For example, people with depression tend to act out suddenly in the middle of the night. If the peak value appears during low power consumption hours (typically from midnight to 3 a.m.), an abnormality in the circadian rhythm is determined, and this can be used to diagnose the onset of depression. can.

By displaying a graph of the average power consumption by time period for a predetermined period (typically the most recent predetermined period) and a graph of average power consumption by time period for a predetermined period in the past, it is possible to check the circadian rhythm. Changes or abnormalities can be clearly indicated. The present invention provides a receiving means for receiving power usage data including a measurement date and a usage time zone identification code transmitted from a smart meter at regular time intervals, and a memory for storing the power usage data received by the receiving means. Means, Means for calculating average power consumption by time period, for calculating average power consumption by usage time period in the predetermined period using a plurality of power consumption data stored in the storage means during the predetermined period; and creation of display data that creates data to be displayed on the display screen of the display device by superimposing the graph of the calculated average power consumption by time period and the graph of the average power consumption by time period for a predetermined period in the past. A circadian rhythm change determination device and a corresponding circadian rhythm change determination method are also provided.

1 schematically shows the hardware configuration of a determination system including a circadian rhythm change determination device. An example of power consumption data is shown below. It is a graph showing the amount of power used for each time period at 30 minute intervals. Monthly data including the monthly average value of power consumption for each time period in 30-minute intervals is shown. It is a flow chart which shows processing of a circadian rhythm change judgment device. (A) is a graph of the amount of electricity used by a consumer with a typical morning lifestyle, (B) is a graph of the amount of electricity used by a consumer with an evening lifestyle, and (C) is a graph of the amount of electricity used by a consumer who has a typical morning lifestyle. A graph of the amount of electricity used by each customer is shown below.

FIG. 1 schematically shows a determination system including a circadian rhythm change determination device.

The circadian rhythm change determination system consists of multiple smart meters 1 installed in each home, a concentrator 2 that receives power consumption data transmitted from each smart meter 1, and a network (wide area power grid, etc.) 3 from the concentrator 2. It includes a circadian rhythm change determination device 4 that receives the transmitted power consumption data and executes a circadian rhythm change determination process to be described later.

The smart meter 1 measures (integrates) the amount of power used in each household (each consumer) and transmits it to the concentrator 2 at 30 minute intervals. For example, a wireless multi-pop method is adopted for communication between each smart meter 1 and the concentrator 2, and in the wireless multi-hop method, in addition to the direct route from the smart meter 1 to the concentrator 2, communication is performed via other smart meters 1. Data representing the amount of power used is also transmitted to the concentrator 2 through the route. The concentrator 2 transmits power usage data of a large number of consumers to the circadian rhythm change determination device 4. Instead of the wireless multi-pop method, for example, power consumption data may be transmitted to the circadian rhythm change determination device 4 via a base station used in a mobile phone (mobile method), or by using a power line. The power consumption data may be transmitted to the circadian rhythm change determination device 4 (PLC (Power Line Communication) method).

The circadian rhythm change determination device 4 is a computer system equipped with a CPU (central processing unit), memory, storage device, communication device, etc. The circadian rhythm change determination device 4 is a computer system equipped with a CPU (central processing unit), memory, storage device, communication device, etc. , a computer system functions as a circadian rhythm change determination device 4. Details of the operation of the circadian rhythm change determination device 4 will be described later.

A database 5 is connected to the circadian rhythm change determination device 4, and this database 5 stores power consumption data of each consumer. Using the power usage data stored in the database 5, the circadian rhythm change determination process is executed as described below.

FIG. 2 shows an example of power consumption data stored in the database 5. As shown in FIG. FIG. 3 shows the power consumption data shown in FIG. 2 in the form of a graph (histogram).

As described above, the smart meter 1 measures the amount of power used at 30 minute intervals. Referring to FIG. 2, the data representing the measured power consumption is transmitted via the concentrator 2 and network 3 as described above, along with the customer number (customer number), date, measurement time period, and frame number. It is transmitted to the circadian rhythm change determination device 4.

The frame number is a number (identification code) that identifies each of the 48 time periods in which the day is divided into 30-minute intervals. For example, the time slot from 00:00 to 00:30 is frame number 1, and the time slot from 23:30 to 00:00 is frame number 48.

Referring to Figure 3, by representing the amount of power used in each time period (frame) at 30-minute intervals using a histogram, the amount of power used in each time period can be shown in an easy-to-understand manner. However, the data representing the histogram shown in FIG. 3 is not particularly required for the processing in the circadian rhythm change determination device 4, and the power consumption data shown in FIG. 2 is sufficient.

FIG. 4 shows monthly data including monthly average values of power consumption for each time period. The monthly data includes data on the customer number (customer number), starting period (year, month, day), ending period (year, month, day), frame number, and average amount of electricity used.

By collecting a month's worth of power consumption data (Figure 2), the average power consumption for each time period (each frame number) can be calculated, and the monthly data shown in Figure 4 can thus be created. As explained below, the circadian rhythm change determination device 4 calculates not the power consumption data for each time period of the day (Fig. 2), but the average power consumption data for each time period for one month (Fig. 4). Execute the process used.

FIG. 5 is a flowchart showing the processing of the circadian rhythm change determination device 4.

As described above, for each consumer, data representing the amount of power used every 30 minutes (every frame) is sequentially transmitted from the smart meter 1 to the circadian rhythm change determination device 4 and stored in the database 5 (step 11, Figure 2).

When the data representing the amount of power used for one month is stored in the database 5, the average amount of power used for each frame of the month is calculated (step 12, FIG. 4). Data (FIG. 4) representing the monthly average power consumption for each frame is calculated every month and stored in the database 5.

Data representing the average amount of power used for each frame of the month in the past, for example three months ago, is read from the database 5 and compared with the newly calculated data representing the average amount of power used for the current month (most recent). Step 13).

Referring to Fig. 6(A), Fig. 6(A) is a graph 21 of the monthly average power consumption of consumers with a typical morning lifestyle (connecting the tops of the above-mentioned histograms (Fig. 3)). (graph drawn by ). Because people wake up around 6 a.m., the amount of electricity they use tends to increase around 6 a.m., and because they go to bed around 10 p.m., the amount of power they use tends to decrease around 10 p.m.

Figure 6 (B) shows a graph 22 of the monthly average power consumption of consumers with a night owl lifestyle. People's lives follow a rhythm of waking up around 10 a.m. and going to bed around 2 a.m. at night.

If the morning lifestyle rhythm shown in Figure 6 (A) changes to the evening lifestyle rhythm shown in Figure 6 (B), the consumer will understand that his lifestyle rhythm has changed to night odor lifestyle. . For example, early symptoms of dementia often involve a change in the rhythm of life to a nocturnal one, and the change from FIG. 6(A) to FIG. 6(B) is useful for diagnosing early symptoms of dementia.

The circadian rhythm change determination device 4 extracts the peak value of the average power consumption for each monthly frame three months ago and the newly calculated peak value of the average power consumption of the current month, and determines the peak power consumption. It is determined whether the frame (time zone) indicating the time has shifted to a later time zone by N frames or more, for example, by 5 frames (5 x 30 minutes = 150 minutes) or more (step 14). If the time frame of peak power consumption has shifted to a later time period by five frames or more, the circadian rhythm change determination device 4 determines a change in the consumer's circadian rhythm (YES in step 14, step 15).

For example, medical personnel are notified by e-mail, etc. that the consumer may be experiencing early symptoms of dementia, or that the symptoms of dementia may be worsening. . The possibility of developing early symptoms of dementia can be ascertained from changes in lifestyle patterns.

Furthermore, the circadian rhythm change determination device 4 determines whether a peak value appears in a frame with low power consumption (step 16). In the graph 23 of FIG. 6(C), among the frames with relatively low power consumption, there are frames in which the power consumption suddenly increases. Consumers are likely to be awake and active during bedtime, a behavioral pattern common among patients with depression. If a peak value appears in the newly calculated average power consumption data for the current month, the circadian rhythm change determination device 4 determines that there is an abnormality in the circadian rhythm (YES in step 16). , step 17). It can be useful in diagnosing the onset of depression.

In this way, the circadian rhythm change determination device 4 is effective in discovering or diagnosing diseases that tend to be accompanied by changes in lifestyle patterns, such as dementia or depression.

In the embodiment described above, the circadian rhythm change determination device 4 determines a change or abnormality in the circadian rhythm by using data on the average power consumption for each monthly frame (FIG. 4) (steps in FIG. 5). 14, 16). Of course, a change or abnormality in the circadian rhythm may be determined by a medical professional such as a doctor. For example, the graph 21 shown in FIG. 6(A) and the graph 22 shown in FIG. 6(B), or the graph 21 shown in FIG. 6(A) and the graph 23 shown in FIG. 6(C) are displayed on the display screen of the display device. By superimposing the images, changes and abnormalities in the circadian rhythm can be clearly shown. In this case, the circadian rhythm change determination device 4 displays the graph of the newly calculated average power consumption of the current month (recently) and the graph of the past average power consumption in a superimposed manner on the display screen of the display device. data is created.

1 Smart meter 2 Concentrator 3 Network 4 Circadian rhythm change determination device 5 Database 6 Power usage data 7 Monthly average power usage data

Claims (6)

a receiving means for receiving power consumption data including a measurement date and a usage time zone identification code transmitted from the smart meter at regular time intervals;
storage means for storing the power consumption data received by the receiving means;
Means for calculating average power consumption by time period, which calculates the average power consumption by usage time period during the predetermined period using a plurality of power consumption data stored in the storage means during the predetermined period; a first determination means for determining a change in the circadian rhythm by comparing the average amount of power used by time period in the past predetermined period with the average amount of power used by time period in the past predetermined period;
Equipped with
Circadian rhythm change determination device. The first determination means is that the usage time period that has the largest value among all the time periods of the average power consumption by time period calculated in the predetermined period is the average power consumption by time period in the past predetermined period. This method determines a change in circadian rhythm when the amount of use shifts to a predetermined time later than the time of use that has the maximum value among all the time of use.
The circadian rhythm change determination device according to claim 1. A second determining means is provided for determining an abnormality in the circadian rhythm based on the existence of a prominent value that appears in a time period when the amount of electric power used is low among the average amount of electric power used by time zone calculated in a predetermined period. ing,
The circadian rhythm change determination device according to claim 1 or 2. The receiving means receives power usage data including the measurement date and usage time zone identification code transmitted from the smart meter at regular time intervals;
Store the received power consumption data in the storage device,
Calculating the average amount of electricity used by each usage time period during the predetermined period using a plurality of pieces of electricity usage data stored in the storage device during the predetermined period, by means of calculating the average amount of electricity used by each time period,
determining a change in the circadian rhythm by comparing the calculated average power consumption by time period with the average power consumption by time period in a predetermined period in the past by the determination means;
Method for determining circadian rhythm changes. a receiving means for receiving power consumption data including a measurement date and a usage time zone identification code transmitted from the smart meter at regular time intervals;
storage means for storing the power consumption data received by the receiving means;
Means for calculating average power consumption by time period, which calculates the average power consumption by usage time period during the predetermined period using a plurality of power consumption data stored in the storage means during the predetermined period; display data creation means for creating data to be displayed on a display screen of a display device by superimposing a graph of average power consumption by time period in the past predetermined period with a graph of average power consumption by time period for a predetermined period in the past;
Equipped with
Circadian rhythm change determination device. The receiving means receives power usage data including the measurement date and usage time zone identification code transmitted from the smart meter at regular time intervals;
Store the received power consumption data in the storage device,
Calculating the average amount of electricity used by time of use during the predetermined period using a plurality of pieces of electricity usage data stored in the storage device during the predetermined period,
The display data creation means generates data for displaying on the display screen of the display device a graph of the calculated average power consumption by time zone and a graph of the average power consumption by time zone for a predetermined period in the past. create,
Method for determining circadian rhythm changes.

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