JP2019046292A - Electricity usage monitoring system and electricity usage monitoring method - Google Patents

Abstract

To provide a watching service tailored to a daily life rhythm.SOLUTION: An electricity usage monitoring system: uses an electricity usage reception unit 21 to store an electricity usage for each predetermined time in an electricity usage DB 23; analyzes a life rhythm pattern on the basis of a transition of an electricity usage for each monitoring target person 10 stored in the electricity usage DB 23 using a pattern analysis unit 25 and stores it in a pattern analysis result DB 24; and uses a notification determination unit 22 to compare the electricity usage for each predetermined time received by the electricity usage reception unit 21 with the life rhythm pattern stored in the pattern analysis result DB 24 so as to determine whether the monitoring target person 10 has an abnormality or not at an arbitrary time, and notifies a watching service center 30 of it when it is determined that the abnormality has occurred.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an electricity usage monitoring system and an electricity usage monitoring method suitable for a monitoring service for elderly people living alone, and more particularly to an electricity usage monitoring system and an electricity usage capable of providing a monitoring service according to the life rhythm of elderly people living alone. It relates to a quantity monitoring method.

  In recent years, a society with an aging population (elderly people) that has generally increased by 65 years or older in the total population has progressed. For example, the proportion of single life in the elderly population aged 65 years and older in 2010 is about 1.39 million men. The number of people (11.1%) and women (about 3.41 million (20.3%)) has increased, and the oversight of the elderly living alone has become a social problem.

  The following patent document 1 is mentioned as a document in which the technique regarding the monitoring of this single person living alone was described. Patent Document 1 states that “the resident of the safety confirmation target household is in an emergency state when the activity stop time or the activity continuation time of the resident of the safety confirmation target household is equal to or longer than a predetermined time based on the accumulated measurement data. There is a description of “determining that

JP 2014-225215 A

  The technique described in Patent Document 1 described above is limited to the effect that it is possible to confirm the safety of a resident without requiring information on a specific electrical device arranged in the household.

  An object of the present invention is to provide an electricity usage monitoring system and an electricity usage monitoring method that reduce the number of false alarms being notified to a monitoring center because the notification determination threshold is set to be constant.

  In the electricity usage monitoring system and method according to the present invention, the electricity usage at every predetermined time is stored in the electricity usage DB using the electricity usage receiving unit, and is stored in the electricity usage database using the pattern analysis unit. The life rhythm pattern is analyzed based on the transition of the amount of electricity used for each user and stored in the pattern analysis result DB. Next, whether or not an abnormality has occurred in the user at any time by comparing the electricity usage amount received by the electricity usage amount reception unit using the notification determination unit and the life rhythm pattern stored in the pattern analysis result DB The watch service center is notified when it is determined that an abnormality has occurred.

  The electricity usage monitoring system and the electricity usage monitoring method according to the present invention can provide a monitoring service in accordance with the life rhythm pattern of the person being monitored and reduce false alarms.

It is a figure which shows the basic composition of the electric usage-amount monitoring system by the Example of this invention. It is a flowchart figure of the pattern analysis process by a present Example. It is a flowchart figure of the electric usage-amount acquisition process by a present Example. It is a flowchart figure of the notification determination process by a present Example. It is a flowchart figure of the warning display process by a present Example. It is a figure which shows the example of data of electricity usage-amount DB of the analysis process target by a present Example. It is a figure which shows the example of data of electricity usage-amount DB of the analysis process target by a present Example. It is a figure which shows the example of data of electricity usage-amount DB of the analysis process target by a present Example. It is a figure which shows the example of data of electricity usage-amount DB of the analysis process target by a present Example.

  Hereinafter, an embodiment of an electricity usage monitoring system to which an electricity usage monitoring method according to the present invention is applied will be described.

[Constitution]
As shown in FIG. 1, the electricity usage monitoring system according to the present embodiment includes the following elements.

  (1) A smart meter 11 installed at the home of a person 10 to be monitored such as an elderly person living alone. The smart meter (smart meter) 11 is a next-generation watt-hour meter in which power is digitally measured and a communication function is provided in the meter, unlike a conventional analog inductive watt-hour meter, for example.

  (2) The electricity usage 26 is monitored from the smart meter 11 via the wireless communication 13 every predetermined time (every 30 minutes in the illustrated example), and it is determined whether or not an abnormality has occurred in the monitoring target 10. A notification determination server 20 that notifies the monitoring staff 15 of the watching service center 30 using the warning display unit 31 when it is determined as abnormal.

  The notification determination server 20 includes the following elements.

  (A) The electricity usage receiving unit 21 that receives the electricity usage 26 every 30 minutes via the wireless communication 13.

  (B) An electricity usage DB (database) 23 for storing the electricity usage 26 every 30 minutes received by the electricity usage receiver 21.

  Examples of the electricity usage 26 every 30 minutes include FIGS. 6A to 6C.

  In the example shown in FIG. 6A, the user number and the amount of electricity used (W) from 0:00 to 24:00 for each date are stored. In the example of FIG. 6A, the usage amount from 1 o'clock to 7 o'clock of the date “2017/4/1” of the user with the user number “12345567890” is 10 W (power by a device requiring standby current such as a refrigerator or a TV) The usage amount from 7 o'clock to 12 o'clock is stored as 30 W, and the usage amount from 12 o'clock to 17 o'clock is stored as 50 W.

  (C) A pattern analysis unit 25 that analyzes a life rhythm pattern based on the transition of the electricity usage for each user stored in the electricity usage DB 23. In the case of the user shown in FIG. 6A, the life rhythm pattern is that the amount of electricity used from 1 o'clock to 7 o'clock is the lowest, 10 W, so that the sleep time zone is from 1 o'clock to 7 o'clock, From 1 to 1 o'clock, the amount of electricity used rises from 80W to 150W, so it is analyzed that electrical products are heavily used during the time period.

  In the example shown in FIG. 6B, as the life rhythm pattern from 2017/4/1 to 2017/4/30, the power consumption after 23:00 indicated by the symbol A is reduced to 10 W, which is the minimum amount of electricity. It is analyzed that it is the sleep start time to go to bed at 23:00.

  In the example shown in FIG. 6C, as the life rhythm pattern from 2017/4/1 to 2017/4/30, the bedtime is 23:00 because the power usage during the period indicated by reference characters E to C is reduced to 10 W. Analyze that bedtime at 7:00 is 8 hours.

  In the example shown in FIG. 6D, as the life pattern from 2017/4/1 to 2017/4/30, the power usage amount on Saturdays indicated by symbols F to G is reduced to 10 W. Analyze when going out for 20 hours.

  (D) A pattern analysis result DB (database) 24 for storing life rhythm patterns analyzed by the pattern analysis unit 25.

  (E) By comparing the electricity usage amount received by the electricity usage amount receiving unit 21 every 30 minutes with the life rhythm pattern stored in the pattern analysis result DB 24 at any time zone or every predetermined time, A notification determination unit 22 that determines whether or not an abnormality has occurred in the user at every predetermined time and notifies the watching service center 30 when it is determined that an abnormality has occurred. The arbitrary time zone is, for example, a sleep time or a going-out time zone described later, and every predetermined time is a time zone every 30 minutes.

[Operation]
Next, the electricity usage monitoring system according to the present embodiment performs the following operations to perform a monitoring service in accordance with the life rhythm pattern of the monitoring target person and reduce false alarms.

[Pattern analysis processing]
As shown in FIG. 2, this pattern analysis processing includes step S201 for obtaining the electric usage amount for each user with reference to the electric usage DB 23, step S202 for analyzing the life rhythm pattern of the user, and step S202. Step S203 is executed to store and update the warning pattern (warning condition) for performing warning for each user analyzed by the above in the pattern analysis result DB 24.

  If this warning pattern is a pattern that goes to bed at 23:00 shown in FIG. 6B, there is a possibility that some abnormality occurs without ending the use of the electric device even after the bedtime has passed, and the amount of electricity used may not decrease. For example, as in 2017/5/1, when the amount of electricity used does not decrease for 3 hours after 23:00, a warning condition is set.

  In this warning pattern, in the case of the life rhythm pattern shown in FIG. 6C where the bedtime is 8 hours, the bedtime at night (continuous activity stop time) is set to 10 hours with a margin (margin value) added. As in 5/1, when the amount of electricity used does not increase even when the nighttime bedtime (10 hours) is exceeded, a warning condition is set for issuing a warning.

  In the case of a daily rhythm pattern that goes out between 10:00 to 20:00 on Saturday shown in FIG. 6D, the warning pattern is a continuous activity stop time during which the electricity usage is reduced exceeds a set value (for example, 10 hours) on Saturday. However, the warning condition is set so that no warning is issued.

[Electricity usage acquisition processing]
As shown in FIG. 3, the electric usage amount acquisition process in step S201 includes step S301 for acquiring the electric usage amount 26 from the smart meter 11 via the wireless communication 13 every predetermined time, and the electric usage amount acquired in step S301. This is performed by executing step S302 of storing and updating the usage amount 26 in the electricity usage DB 23.

[Pattern analysis processing]
The pattern analysis process in step S202 is shown in FIG. In this process, step S401 for obtaining the electricity usage amount from the electricity usage DB 23 and the warning pattern (warning condition) from the pattern analysis result DB 24, and the obtained electricity usage amount and the warning pattern (warning condition) at an arbitrary time. In step S402 for determining whether or not to report an abnormality, and whether or not it is determined to be a notification target in step S402, and the warning information notification process is performed when the notification target is identified. This is performed by executing step S403 to be transferred.

[Warning display processing]
As shown in FIG. 5, the warning information notification process in step S404 includes a step S501 for inputting a warning notification, and a management screen 32 on the warning display unit 31 of the watching service center 30 based on the warning notification input in the step S501. This is executed in step S502 for displaying. When a warning is displayed on the management screen 32 by the warning information display process in step S502, the safety status of the monitoring target person 10 is confirmed with the monitoring person 15.

10 monitored person, 11 smart meter, 13 wireless communication,
15 monitoring personnel, 20 notification determination server, 21 electricity usage receiver,
22 notification determination unit, 23 electricity usage DB (database),
24 pattern analysis result DB (database), 25 pattern analysis unit,
26 Electricity consumption, 30 watching service center, 31 warning display,
32 Management screen

Claims (10)

Monitors electricity usage every predetermined time via wireless communication from a smart meter installed at the monitored person's home, and determines whether or not an abnormality has occurred in the monitoring person based on the electricity usage. An electricity usage monitoring system including a notification determination server for notifying using a monitoring service center when it is determined,
The notification determination server is
An electricity usage receiving unit for receiving electricity usage for every predetermined time via wireless communication;
An electricity usage database for storing the electricity usage for every predetermined time received by the electricity usage receiver;
A pattern analysis unit that analyzes a life rhythm pattern based on a transition of electricity usage for each user stored in the electricity usage database;
A pattern analysis result database for storing life rhythm patterns analyzed by the pattern analysis unit;
It is determined whether or not an abnormality has occurred in the user at an arbitrary time by comparing the electricity usage amount received by the electricity usage amount receiving unit every predetermined time with the life rhythm pattern stored in the pattern analysis result database. A notification determination unit that notifies the monitoring service center when it is determined that an abnormality has occurred;
Electricity usage monitoring system equipped with.   The electricity usage monitoring system according to claim 1, wherein the life rhythm pattern analyzed by the pattern analysis unit analyzes a time zone in which a minimum amount of electricity continues at night as a sleep time zone.   The electricity usage monitoring system according to claim 2, wherein the life rhythm pattern analyzed by the pattern analysis unit analyzes a time zone at which a minimum amount of electricity at night starts as a sleep start time.   The electricity usage monitoring system according to claim 3, wherein the life rhythm pattern analyzed by the pattern analysis unit analyzes a time zone in which a minimum amount of electricity continues at a specific day of the week and time zone as an outing time zone.   The notification determination unit determines that an abnormality has occurred in a user when a time zone or a time zone obtained by adding a predetermined margin value to the sleep time zone or the sleep start time or the outing time zone is exceeded. 4. The electricity usage monitoring system according to 4. Monitors electricity usage every predetermined time via wireless communication from a smart meter installed at the monitored person's home, and determines whether or not an abnormality has occurred in the monitoring person based on the electricity usage. Provided with a notification determination server that uses a monitoring service center to notify when it is determined,
The notification determination server is
An electricity usage receiving unit for receiving electricity usage for every predetermined time via wireless communication;
An electricity usage database for storing the electricity usage for every predetermined time received by the electricity usage receiver;
A pattern analysis unit that analyzes a life rhythm pattern based on a transition of electricity usage for each user stored in the electricity usage database;
A pattern analysis result database for storing life rhythm patterns analyzed by the pattern analysis unit;
It is determined whether or not an abnormality has occurred in the user at an arbitrary time zone by comparing the electricity usage amount received by the electricity usage amount receiving unit every predetermined time with the life rhythm pattern stored in the pattern analysis result database. And a notification determination unit for notifying the monitoring service center when it is determined that an abnormality has occurred,
An electrical usage monitoring method for a computer system comprising:
In the notification determination server, the electricity usage amount for each predetermined time using the electricity usage amount receiving unit is stored in the electricity usage amount database via wireless communication,
Analyzing the life rhythm pattern according to the transition of electricity usage for each user stored in the electricity usage database using the pattern analysis unit, and storing it in the pattern analysis result database,
Whether the user at any time has an abnormality by comparing the electricity usage amount received by the electricity usage amount receiving unit using the notification determination unit with the life rhythm pattern stored in the pattern analysis result database Determine whether or not an abnormality has occurred and notify the service center
Electricity usage monitoring method.   The electricity usage monitoring method according to claim 6, wherein the life rhythm pattern analyzed by the pattern analysis unit analyzes a time zone in which a minimum amount of electricity continues at night as a sleep time zone.   The electricity usage monitoring method according to claim 7, wherein the life rhythm pattern analyzed by the pattern analysis unit analyzes a time zone at which a minimum amount of electricity at night starts, as a sleep start time.   The electricity usage monitoring method according to claim 8, wherein the life rhythm pattern analyzed by the pattern analysis unit analyzes a time zone in which a minimum amount of electricity in a specific day of the week and time zone continues as an outing time zone.   Claims that it is determined that an abnormality has occurred in a user when the notification determination unit exceeds a time zone or a time zone obtained by adding a predetermined margin value to the sleep time zone or the sleep start time or the outing time zone. 9. The method for monitoring electricity usage according to 9.

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