JP2016093098A - Power use amount management device and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a power use amount management device that does not assume the use of a HEMS, the Internet and a power measuring sensor.SOLUTION: A power use amount management device comprises: a first radio communication unit 21 for performing radio communication with a smart meter; a second radio communication unit 22 for performing radio communication with an information apparatus; a connector unit 23; a display unit 26; an operation unit 27; a storage unit 28; a power supply 30; and a control unit 31. The control unit includes: means for storing power use situation data; means for predicting the amount of use power at any time point from the power use situation data and nearest instantaneous data; means for transmitting a command to display the power use situation data on date requested by the storage unit on the screen of the information apparatus; and means for performing statistical processing by multiplying the power use situation data by a weight coefficient according to a prediction request from the information apparatus and for transmitting a command to display the amount of predicted use power at a particular time band on the screen of the information apparatus.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a power usage management apparatus and a program that can be linked to a smart meter.

  In recent years, replacement work of watt-hour meters that measure the amount of electricity used to smart meters is underway, and it is planned that all watt-hour meters will be replaced by smart meters by the middle of the 2020s. The smart meter has a function to measure and hold the amount of power every 30 minutes, and communicates with the outside, so that automatic meter reading and HEMS (HEMS: Home Energy Management System). This is a system that supports energy management in homes, such as connecting energy consuming equipment in a home via a network, enabling monitoring of operating status and energy consumption status, remote control and automatic control, etc.) It is said that it will be possible to utilize it in the system of

  In Patent Document 1, as an energy management system including HEMS and a smart meter as components, at least of power consumption of a load device, generated power of a distributed power source, purchased power from a commercial power source, and sold power to a commercial power source An acquisition unit that acquires one piece of power information, a communication unit that communicates with the communication terminal, and charge information is calculated based on the acquired power information, and the charge information is transmitted to the communication terminal in response to a request from the communication terminal. An energy management system is proposed that includes a control unit that transmits the information via a communication unit.

  The route for acquiring power usage information from a smart meter is as follows: A route: a network connecting a smart meter and a power company, B route: a network connecting a smart meter and an electronic device in a building, C route: a third party (service It is said that there is a network for service providers to provide services to consumers.

  According to Patent Document 2, when a C route is realized in the future and a large number of service providers appear, it is possible for a consumer to find a service provider related to appropriate power among a large number of service providers. A power information management server and a power information management method are proposed.

JP 2014-32630 A JP 2014-174890 A

  The penetration rate of HEMS at this stage is well below 1%, and the future penetration rate is often unpredictable. It is considered that there is a need for a device that can visualize the amount of power used without using HEMS.

In addition, some households do not use the Internet line, and it is considered that there is a need for a power usage management device that can be used in such households.
In addition, since the latest data of the power consumption cannot be acquired in the A route, there is a problem that the power consumption cannot be predicted with high accuracy. A power usage management system using rental or purchased power measurement sensors has also been proposed, but there are also voices that the installation costs of equipment such as power measurement sensors and servers for information processing are burdened by users is there.

  Accordingly, an object of the present invention is to provide a power usage management device that does not assume the use of HEMS, the Internet, and a power measurement sensor.

The power usage management terminal of the present invention includes a first wireless communication unit for performing wireless communication with a smart meter, a second wireless communication unit for performing wireless communication with an information device including a smartphone, a tablet, and a personal computer, and a connector. A display unit, a display unit, an operation unit, a storage unit, a power source, and a control unit. The storage unit stores power usage status data every 30 minutes periodically acquired from the smart meter by the control unit. Record data storage means for storing 30 days or more, and a power coefficient that is periodically acquired from the smart meter is assigned a weighting factor set in advance in units of days, and the regression coefficient of the weighted data is close to The calculation means for predicting the amount of power used at an arbitrary time from the instantaneous data, and the power usage status data on the day of the request from the storage unit in response to the display request from the information device. Real-time value providing means for sending a command to be displayed and displayed on the screen of the information device, and power usage status data for 30 days or more from the storage unit in response to a prediction request designating a specific time zone from the information device And reading the weighting coefficient, performing statistical processing by multiplying the weighting coefficient, calculating a predicted power consumption in a specific time zone on the day of the request, and transmitting a command to be displayed on the screen of the information device And a value providing means.
In the power usage management terminal, the connector unit may include a USB cable, and the power source may be configured by USB bus power.
In the power usage management terminal, the predicted value providing means includes power usage status data xi in a time zone immediately before a specific time zone designated by the information device and the specific time for at least the latest 30 days or more. The power usage status data yi of the band is read from the storage unit, an approximate straight line y = Ax + B is obtained, and the predicted power consumption of a specific time zone on the day when the request is made may be calculated.

In the power usage management terminal, in response to a request from the information device, the control unit reads the received intensity from the smart meter at the time of the request from the storage unit and displays the received intensity on the screen of the information device. Reception intensity display means for transmitting a command may be included.
In the power usage management terminal, the control unit, for a total power usage in a specific time zone set in advance, from the trend after statistical processing of the total power usage in the same time zone for the past 30 days or more, When the power consumption suddenly decreases or remains at a high level, an e-mail is sent to a specific address, the display of the information device blinks, and the sound source is urged to reset it. There may be a monitoring means for sending an e-mail following a specific address on the condition that there is no abnormality in the power user on the condition that there is not.
The power usage management terminal further includes a temperature / humidity sensor, wherein the control unit stores temperature / humidity data periodically acquired from the temperature / humidity sensor in the storage unit, and a request from the information device. And means for reading out the temperature / humidity data of the requested day from the storage unit and transmitting a command to be displayed on the screen of the information device.

In the power usage management terminal, the weighting factor may be a weighting factor set according to a day of week attribute.
In the power usage management terminal, the control unit transmits current power consumption acquired from a smart meter to the information device in response to a request from the information device, An average value transmission unit that reads out power usage status data for the last 30 minutes from the storage unit, calculates a 30-minute average value of power usage in the power usage status data, and transmits the average value to the information device. In response to a request from the information device, the power usage status data for the past 30 days or more is read from the storage unit, and the minimum value of the power usage amount in the power usage status data is calculated and transmitted to the information device. Power consumption acquired at the present time from the smart meter in response to a request from the information device. Preliminary the above last 30 days read from the storage unit of the power usage data may be characterized by having a power usage data transmitting means for transmitting to said information device.

  The power usage management terminal program according to the present invention performs wireless communication with a first wireless communication unit for performing wireless communication with a smart meter and information devices including a smartphone, a tablet, and a personal computer in the power usage management terminal. In a power usage management terminal comprising a second wireless communication unit, a connector unit, a display unit, an operation unit, a storage unit, a power source, and a control unit having a computer, the computer is connected to the smart device. Performance data storage means for storing 30 minutes or more of power usage status data periodically acquired from the meter in the storage unit, and preset in daily units to power usage status data periodically acquired from the smart meter Is used to predict the amount of power used at an arbitrary time from the regression coefficient of the weighted data and the nearest instantaneous data. And a real-time value providing means for reading out power usage status data on the date of the request from the storage unit in response to a display request from the information device and transmitting a command to be displayed on the screen of the information device, the information device 30 days or more of power usage status data and the weighting factor are read from the storage unit in response to a prediction request designating a specific time zone from the day, and the statistical processing is performed by multiplying the weighting factor. It is made to function as a predicted value providing means for calculating a predicted power consumption amount in a specific time zone and transmitting a command to be displayed on the screen of the information device.

  The information device program according to the present invention is configured so that the information device is connected to a power usage management terminal including the current power consumption transmission unit, the average value transmission unit, and the minimum power consumption transmission unit. The current consumption received by the check data acquisition means and the check data acquisition means that request and transmit the 30-minute average value of the power consumption and the minimum value of the power consumption over the past 30 days to the information device. Determining means for determining whether or not to forget to turn off the power consuming device based on the power, the 30-minute average value of the most recently used electric energy, and the lowest value of the used electric energy in the past 30 days or more; It is made to function as a determination result display means to be displayed on the screen.

  The information device program according to the present invention provides the power consumption amount management terminal including the information device, the information device, and the power usage status data transmission unit as described above to the current power consumption and power usage status data of more than minutes. A check data acquisition means for requesting and receiving transmission to the information device, an average value transmission means for calculating a 30-minute average value of the most recently used power based on the power usage status data received by the check data acquisition means; Based on the power usage status data received by the check data acquisition means, the minimum power consumption calculating means for calculating the minimum value of the power usage in the power usage status data, the current power consumption, and the latest power consumption 30 minutes Determination means for determining whether or not to forget to turn off the power consuming device based on the average value and the minimum value of power consumption over the past 30 days, the determination Characterized in that to function stage of the determination result as the determination result displaying means, to be displayed on the screen of the information device.

According to the present invention, it is possible to display the power usage amount in real time using the latest power usage status data acquired from the smart meter, and to provide a highly accurate predicted value of the power usage amount.
Further, in the present invention, since the power usage status data is directly acquired from the smart meter without using the power measurement sensor, it is possible to reduce the equipment installation cost.

It is a block diagram of the electric power usage management apparatus which concerns on the example of 1st embodiment. It is a block diagram of the electric power usage management system constructed | assembled by the electric power usage management apparatus. It is an image figure of a monitor screen. It is an image figure of the calculation principle by a calculation program. It is a graph which shows the predicted value and performance value by a calculation program. It is a graph which shows the re-predicted value and performance value by a calculation program. It is a graph which shows the example of the power consumption of 17:00 to 21:00. It is a graph which shows the difference in the error rate based on the difference in the setting method of a weighting coefficient. It is an image figure of a check screen before going out.

A power usage management device according to a preferred embodiment of the present invention will be described.
[First embodiment]
The power usage management device 2 of the first embodiment is a small terminal that is housed in a rectangular parallelepiped resin case (for example, 12 cm × 7 cm × 3 cm) and is powered by a USB cable. Installed and used in a house building.

<Configuration>
FIG. 1 is a configuration diagram of a power usage management device 2 according to the first embodiment.
The first wireless communication unit 21 includes a Wi-SUN module, and enables bidirectional communication with the smart meter 1 in the installation building using the 920 MHz band specific low power wireless.
The second wireless communication unit 22 includes a Wi-Fi wireless LAN module (for example, 2.4 GHz or 5 GHz), and can be connected to the information device 6 and the HEMS server 7 in the installed building.
The connector unit 23 includes at least a connector for connecting a USB cable.

The media RW unit 24 is a media reader for exchanging data with an external device, and is composed of, for example, a microSD card reader / writer.
The audio output unit 25 is a speaker for issuing a warning.
The display unit 26 is an LED indicator that notifies power ON / OFF, establishment of wireless communication, warning of abnormality (for example, current over, power over), and the like. Since the operation of the power usage management device 2 is performed in principle from the information device 6 or the HEMS server 7 connected via the second wireless communication unit 22, this embodiment does not include a display device such as a liquid crystal panel. . A liquid crystal panel or the like may be additionally provided, but this is not an essential configuration. The operation of the power usage management device 2 can also be performed from the information device 6 connected via a USB cable.

The operation unit 27 is for turning on / off the power and stopping the alarm buzzer, and includes at least one button. For example, it is disclosed that the power is turned on / off by long pressing one button and the alarm is stopped by short pressing.
The storage unit 28 includes a storage device that stores a power usage amount prediction calculation program and a control program. This storage device is configured by a medium such as a nonvolatile memory, HDD, SSD (Solid State Drive), or microSD inserted in the media RW unit 24, for example.

The temperature / humidity sensor 29 is a chip for measuring the temperature and humidity of the installation building. The control unit 31 stores temperature / humidity data periodically acquired from the temperature / humidity sensor 29 in the storage unit 28.
Since the power source 30 is configured by USB bus power, no special device is required. By providing a secondary battery as an additional element in the power supply 30, it may be possible to operate even when the USB is not connected.
The control unit 31 includes a motherboard on which the above-described devices, a clock, and a computer are arranged. The computer executes the power usage amount prediction calculation program read from the storage unit 28 and transmits the power usage amount prediction result and the like to the information device 6. Since the calculation by the power consumption prediction calculation program is performed without going through the Internet, it is possible to predict the power consumption without taking out personal information outside the house.

<Installation mode>
FIG. 2 is a configuration diagram of a power usage management system constructed by the power usage management device 2.
The smart meter 1 is connected to the power network of the installation building via the distribution board 3 and includes a measuring instrument, a wireless communication terminal, and a storage device. The measuring instrument records power usage status data (including power consumption data and power generation data) of consumers every 30 minutes. In this embodiment, the power usage status data for 45 days is stored in the storage device. ing. The power usage status data stored in the storage device may be 30 days or more. For example, it is disclosed that 40 to 60 days, 90 days, half a year, and 1 year are accumulated. The wireless communication terminal can perform two-way communication with the power usage management apparatus 2 using the 920 MHz band specific low power radio.

  The power usage management device 2 is connected to the smart meter 1 by the first wireless communication unit 21. When the power supply is ON, the power usage management device 2 sequentially communicates with the smart meter 1 and sequentially stores power usage status data in the storage unit 28. By keeping the USB cable connected to the USB power adapter inserted into the commercial power outlet, the power usage management device 2 can be operated continuously.

The power usage management device 2 is connected to the information device 6 or the HEMS server 7 by the second wireless communication unit 22. The LAN 4 is an IP network composed of devices connected by wire or wireless. Connected to the LAN 4 are home appliances 5 having network interfaces such as air conditioners, washing machines, refrigerators, and information devices 6 such as smartphones, tablets, personal computers, mobile phones, and PDAs (Personal Data Assistance).
The information device 6 includes an arithmetic device (not shown), a storage device storing an information management program, a display unit, an input unit, and a network module. In addition, unlike illustration, the home appliance 5 may be zero, and the information device 6 may be a plurality.
The power usage management apparatus 2 can perform information communication with the information device 6 via the USB cable and can also receive power supply.

  The HEMS 7 is a system that manages the power consumption and generated power of the installed building, and can display the power consumption and the amount of power generated by the solar panel in real time, or can perform remote control and state monitoring of so-called smart home appliances. . The power usage management device 2 can link information with the HEMS 7 via the second wireless communication unit 22. However, the HEMS 7 is not an essential component, and the power usage management apparatus 2 can naturally be used even in a building where the HEMS 7 is not introduced.

Further, the power usage management device 2 can receive software updates from the Internet 9 via the router 8 or by using the communication function of the information device 6, and can deliver mail to a specific address. . For example, with regard to the total power consumption for a certain time period (for example, from 17:00 to 21:00) on the day, the power consumption decreases sharply from the trend after statistical processing of the total power consumption for the same time period for the past 45 days If it has been stopped or remains at a high level, an e-mail is sent to a specific address, the display unit of the information device 6 blinks, and the sound source is urged to reset it. It is also possible to realize a watch function (elderly person safety confirmation service) by sending an e-mail following a specific address even if there is an abnormality in the power user. If a mail transmission command is push-distributed to the information device 6 when an abnormality is detected and the function of the information device 6 is used for the mail transmission itself, the power usage management device 2 itself can be provided with a mail transmission function. It is unnecessary.
The router 8 is not an essential component, and the power usage management device 2 can naturally be used even in a building where the router 8 is not installed.

<Real-time monitor function>
The information device 6 accesses the power usage management device 2 via the installed dedicated information management software to acquire necessary information such as power usage status data, and the data is displayed on the screen of the information device 6 as a monitor screen. indicate. Since the acquisition information displayed on the monitor screen is updated to the latest information by pressing an update button described later, real-time monitoring is realized by the information device 6. Since the acquired information displayed on the monitor screen includes the signal reception intensity from the smart meter 1, the function of the reception sensitivity checker can also be realized. When the information device 6 is, for example, a smartphone, the information management software is realized by an application program (application) downloaded via a network.
FIG. 3 is an image diagram of a monitor screen of the information device 6. Real-time values of power consumption and generated power are displayed in the upper left frame of the screen, and daily integrated values of power consumption and generated power are displayed in the lower left frame of the screen. A real-time value of temperature and humidity measured by the temperature / humidity sensor 29 and a measured value at the same time on the previous day are displayed in the upper right frame of the screen, and a message to the user is displayed in the lower right frame of the screen.

There is an update button on the screen, and there are an actual value button, a prediction button, and a setting button at the bottom of the screen.
When the update button is clicked, the screen display information is updated to the latest information.
When the actual value button is clicked, it is possible to display a graph of the actual value of power consumption in daily and weekly units. When the prediction button is clicked, it is possible to display a graph of the predicted value of power usage on that day. By clicking the setting button, it is possible to set alarm alert conditions and the like.

<Electricity usage calculation program>
The power usage amount prediction calculation program included in the power usage amount management device 2 statistically processes the power usage amount information (for example, every 30 minutes × 45 days) stored in the smart meter 1 and uses real-time instantaneous data in real time. Has a function of predicting the amount of power used and the energy saving effect on that day. Statistical processing is not a simple regression calculation, but an arithmetic expression that takes into account weights based on actual data for one year or more. Here, the performance data for one year or more is used because the patterns are different between summer and winter. Specifically, for example, an approximate straight line y = Ax + B is obtained from the same time data x _i immediately before 45 days and the target time data y _i . Here, A and B are weighted averages of the slope a and the intercept b obtained by the least square method and the slope a ′ obtained by the least square method when the intercept b = 0, and are calculated by the following formulas 1 and 2. Is done.

Here, a, b, and a ′ are calculated by the following Equation 3.

FIG. 4 is an image diagram of the calculation principle by the calculation program. In the figure, a case is shown in which the power consumption (<3> column) from 23:00 to 23:30 is predicted at 1:10. The regression calculation for obtaining the approximate straight line is handled assuming that the data of the day has the number of weights. That is, the approximate straight line y = a ₁₂ x + b ₁₂ is assumed with the data from 1 day to 45 days before in the <1> column in FIG. 4 as x _i and the data from 1 day to 45 days in the <2> column as y _i . In the normal regression calculation, the calculation is performed as 45 pieces of data, whereas here, 100 pieces of data (5339, 5319) one day ago are 20 pieces, and 20 pieces of data (5333, 5391) two days ago are 20 pieces. Regression calculation is performed on the assumption that there are “number of weights” such as number,... (Expression 3 is expressed as an expression 3). Assuming that the regression coefficient obtained in this way is a ₁₂ = 0.32, b ₁₂ = 3600, and the result of regression calculation with an intercept b = 0 is a ₁ = 0.99, the day of 0:30 to 1: 0 The predicted value of 1:00 to 1:30 obtained from the actual value 5389 is 0.5 × (0.32 + 0.99) × 5389 + 0.5 × 3600 = 5330 when k = 0.5.

The weight coefficients n _i and k are set to values that minimize the error by analyzing the performance data for one year or more. The values of the weight coefficients n _i and k can be updated via the Internet or a recording medium. It will be described later configuring the weighting factors n _i.

For example, there are the following two methods for predicting the power consumption.
[A method]
An approximate straight line between the data from 0:30 to 10:00 (<1>) up to the previous day and the data after 30 minutes (<2>) is obtained, and <1> is substituted into 1:00 to 1:30. Is calculated (specifically, as described above). Similarly, a ₂₃ , b ₂₃ , and a ₀₂ are obtained, and <2> is substituted to obtain a predicted value of 1:30 to 2:00. Thereafter, similarly, data after 30 minutes are sequentially calculated to obtain a predicted electric power consumption value <3>.
[B method]
The data from 0:30 to 10:00 until the previous day is x _i , the data from 23:00 to 23:30 (the data from 1 day to 45 days before in the <3> column is y _i , a ₁₃ , b ₁₃ , _a03 is obtained, and <1> is substituted to obtain <3>.

FIG. 5 is a graph showing an example of the result (thin line) and the actual value (thick line) obtained by calculating the predicted value until 24:00 using the data immediately before every hour by the a method arithmetic program.
FIG. 6 assumes a case where the amount of power used at 15:00 is changed to various values by turning off the lights at 15:10 by the a method calculation program. It is a graph which shows an example. The three line graphs (a) to (c) are three types of results using the above-mentioned k as a parameter, where the dotted line is a natural prediction result, and the thin line is forcibly changed the value in the 15 o'clock range. The thick line is the actual result. The lower right graph (d) is a plot of x _i and y _{i from} which the regression coefficients from the 16:00 to 17:00 range are plotted, and an approximate straight line A optimized with the slope a and the intercept b as variables. And an approximate straight line B passing through the origin. It can be seen from FIG. 6 that the aspect changes depending on the value of k. This is probably due to the fact that the slope of the approximate straight line A is close to 0 as shown in the lower right diagram.

  FIG. 7 is a graph showing an example of power consumption for one year from 17:00 to 21:00 that is considered as a candidate for use in the watching function. × is the actual value, thick line is the average value of the actual results from the day before to 45 days ago, the thin line is the average value -1.5σ (σ is the standard deviation), the dotted line is the result of simple statistical processing of the data for 45 days, the solid line is 45 This is a result of statistical processing of daily data incorporating the above-mentioned weights.

<Weighting factor>
As a method for setting the weighting coefficient _ni, a method that does not consider the day of the week attribute and a method that considers the day of the week attribute are disclosed. Here, the day-of-week attribute refers to a power consumption trend that changes on seven days of the week, holidays, and long vacation periods. For example, it is assumed that the power consumption does not decrease drastically on public holidays in ordinary households, but the power consumption on weekends, holidays, and long-term holidays decreases sharply in companies and factories, and conversely increases in commercial facilities. Predictive accuracy of power consumption by creating industry day-of-week attribute parameters by analyzing actual data that accumulates different day-of-week attributes for each consumer, and applying industry day-of-week attribute parameters according to the industry of the customer Can be increased. As the business day attribute parameter, for example, seven sets of parameters may be prepared for each day of the week, or two sets of parameters for weekdays and holidays may be prepared.

[Method without considering day of week attribute]
An example of a method for optimizing the weighting coefficient n _i (number of elements n = 45) in the method that does not consider the day of week attribute will be described.
(1) Prepare 30-minute average kW value for 365 days + 45 days of the prediction target consumer as actual data.
(2) As an initial value, n ₁ = n ₂ =... = N ₄₅ = 100 is set, and a predicted value for one day, for example, 24 hours (48 points) is obtained.
(3) The absolute value sum of the difference between the predicted value and the actual value obtained in (2) is taken as the error of the day.
(4) Execute (2) to (3) for 365 days to obtain the total error Σ | ε |.
Using known minimization technique from the tendency of increase or decrease in the sum _{Σ | | ε | (5)} n 1, n 2, ···, sum sigma of when to increase or decrease the _{n 45} epsilon | a to minimize _n 1, Find n ₂ ,..., n ₄₅ . These n ₁ , n ₂ ,..., N ₄₅ are weighting factors n _i that do not consider the day of week attribute.

[Method considering day of week attribute]
In the method considering the day of week attribute, the above (4) and after are replaced with the following.
(4) 'Calculate the sum Σ | ε' | of errors for one year (for 52 days) for only the target day of the week.
(5) '| ε n 1 , n 2, ···, sum sigma of when to increase or decrease n _45' | minimization technique from increasing or decreasing trend known of using the sum sigma | epsilon '| and the minimum Find n ₁ , n ₂ ,..., n ₄₅ . The _{n 1, n 2, ···,} n 45 is a weighting factor n _i that purpose day.

(6) (4) 'to (5)' is executed week worth obtaining weighting factors n _i in consideration of day attribute.
FIG. 8 is a graph showing the error rate when the weighting factor _ni is set for each day of the week for the performance data of five consumers who are ordinary households (a method considering the day of week attribute). The vertical axis of the graph shows the ratio of the error in the predicted value of the power consumption when the weighting factor n _i is set for each day of the week when the weighting factor n _i without day of the week division is set (a method that does not consider the day of week attribute). is there. The horizontal axis of the graph indicates the day of the week.
As can be seen from FIG. 8, the error of the predicted value when the weighting factor n _i is set for each day of the week is weight factor n without the day of the week even in ordinary households that are assumed to have a smaller effect than companies and factories. It was confirmed that it was reduced by about 10% compared to the case where _i was set.
As described above, by setting the weighting factors n _i by day attribute, it is possible to reduce the error of the predicted value of the electric power consumption.

The power usage management device 2 of the present embodiment described above can perform calculations using the latest data of the power usage that cannot be acquired by the A route. In the future, when electricity charges are set for each time zone, it is assumed that it will be possible to select a power company for each time zone based on the latest data. The significance of the power usage management device 2 that acquires power usage status data by route is significant.
In addition, compared to the case of using a commercially available power measurement sensor, it can be said that the accuracy of information to be provided is high because the power usage status data acquired from the smart meter is used.

[Second Embodiment]
The hardware configuration of the power usage management system according to the second embodiment is the same as that of the first embodiment. The power usage management system according to the present embodiment is different from the first embodiment in that the information management software has a check function before going out.

<Forgetting to erase check function>
The information management software installed in the information device 6 has a forget-to-delete check function for determining whether to forget to turn off the power consuming device in addition to the real-time monitor function described in the first embodiment. The forgetting to turn off function forgets to forget to turn off a power consuming device such as an air conditioner based on whether or not the current power consumption (kW value) exceeds a threshold L _set calculated from the past power consumption data for a certain period in the past. It is a function to determine. In this embodiment, the forget-to-delete check function is implemented as a check screen before going out, but the forget-to-delete check function is not limited to before going out, and can be executed at an arbitrary timing.

  FIG. 9 is an image diagram of the pre-outing check screen 40. On the before-going check screen 40, an execution button 41 is arranged above, a power consumption display unit 42 is arranged on the left side immediately below the execution button 41, a determination value display unit 43 is arranged on the right side directly below the execution button 41, and below. A result display unit 44 is arranged.

When the user presses the execute button 41, the information device 6 starts communication with the power usage management device 2 and requests the power usage management device 2 to transmit the current power consumption (kW value). , requesting transmission of minimum kW value _{L B} in the last 30-minute average kW value _{L a} and the last 30 days. The control program of the power consumption management device 2 calculates the means for obtaining the power consumption of the current (kW value) from the smart meter 1, the minimum kW value L _B in the last 30-minute average kW value L _A and the last 30 days Means.
The invention is not limited to this embodiment, the means for calculating one or both of the information devices 6 information management software to the mean kW value L _A and minimum kW value L _B provided, average kW from power usage management apparatus 2 or as a specification for transmitting power usage data required for calculating the values L _a and / or minimum kW value L _B information apparatus 6.

Information management software current power consumption (kW value), obtains the minimum kW value _{L B} of the most recent 30-minute average kW value _{L A} and the last 30 days, and calculates the threshold value _{L The set} according to equation 4 below, the current It is determined whether or not the power consumption exceeds the threshold value L _set . If the current power consumption exceeds the threshold L _set , it is determined that there is forgetting to turn it off, and a message for calling attention is displayed on the display unit 44 (see FIG. 9). If the current power consumption does not exceed the threshold L _set , it is determined that the user has not forgotten to turn it off, and the display unit 44 displays, for example, “Check OK.

A determination algorithm for forgetting to erase using the threshold value L _set will be described. Computation of the threshold _{L The set} is specifically using the minimum kW value _{L B} of the most recent 30-minute average kW value _{L A} and the last 30 days is calculated as a linear sum according to equation 4 below.

Here, α and β are weighting coefficients which are real numbers of 0 or more. As α is less than or equal to 1, the threshold L _set is more affected by the lowest kW value L _B of the past 30 days, and the program makes a determination based on the past power consumption in the absence. as β is larger, the threshold value L _{The set} is significantly affected by the recent 30 minute average kW value L _A, the program would make a determination relative to the average of the most recent power consumption. If α is greater than 1, β = 0, so the threshold L _set is calculated using only the lowest kW value L _{B for the} past 30 days, and the program makes a determination based on power consumption in the past absence. Will do.

By changing α, the allowable range of determination can be adjusted. That, alpha is 1 or less, more alpha is small, the threshold value L _{The set} approaches to the nearest recent 30 minute average kW value L _A, to interrupt the threshold L _{The set} if reduced power consumption at the present time is a little It becomes difficult to determine that the power consuming device has been forgotten to be turned off (the allowable range is “high”). Similarly, when α is greater than 1, the threshold L _set increases as α increases, making it difficult to determine that the power consuming device has been forgotten to be turned off (the allowable range is “high”). When α = 1, the threshold L _set is equal to the lowest kW value L _B of the past 30 days, so the threshold L _set is minimum, and it is easy to determine that the power consuming device is forgotten to be erased most (the allowable range is “low”). ”State).

  Based on the above-mentioned concept, a plurality of sets (preferably 3 to 5 sets) in which α and β are preset to predetermined values are prepared, and the user can select a setting item in the program so that the user can select it. It can be said that it is preferable that the allowable range can be easily adjusted (strictness of determination). For example, if the permissible range is set to “medium” (α = 0.5, β = 0.5) in the initial state, and it is determined that there is forgotten to be erased regardless of the number of executions, the permissible range is “high”. ”(Α = 1.2, β = 0), and if it is determined that the user has not forgotten to erase it, the allowable range“ low ”(α = 0.9, β = 0.1) Is disclosed.

  According to the forgetting-off check function described above, the power consumption device is accurately used by using the current power consumption (kW value) acquired from the smart meter 1 and the past power consumption data stored in the power usage management device 2. Whether or not to forget to erase can be determined. Further, by changing the weighting of the latest power consumption data and the past power consumption data and adjusting the allowable range of determination, more accurate determination can be realized.

  As mentioned above, although preferable embodiment of this invention was described, the technical scope of this invention is not limited to description of the said embodiment. Various modifications / improvements can be added to the above-described embodiments, and forms to which such modifications or improvements are added are also included in the technical scope of the present invention.

1 Smart meter 2 Electricity consumption management device 3 Distribution board 4 LAN
DESCRIPTION OF SYMBOLS 5 Home appliance 6 Information apparatus 7 HEMS server 8 Router 9 Internet 21 1st wireless communication part 22 2nd wireless communication part 23 Connector part 24 Media RW part 25 Audio | voice output part 26 Display part 27 Operation part 28 Storage part 29 Temperature / humidity sensor 30 Power supply 31 Control unit 40 Check screen before going out 41 Execution button 42 Power consumption display unit 43 Determination value display unit 44 Result display unit

Claims (12)

A first wireless communication unit for performing wireless communication with a smart meter, a second wireless communication unit for performing wireless communication with an information device including a smartphone, a tablet, and a personal computer, a connector unit, a display unit, an operation unit, A storage unit, a power source, and a control unit,
The control unit is
Actual data storage means for storing power usage status data every 30 minutes periodically acquired from the smart meter for 30 days or more in the storage unit;
A preset weighting factor is assigned to the power usage status data periodically acquired from the smart meter on a daily basis, and the power consumption at an arbitrary time point is predicted from the regression coefficient of the weighted data and the nearest instantaneous data. Computing means for
Real-time value providing means for reading power usage status data on the day when the request is made from the storage unit in response to a display request from the information device, and transmitting a command to be displayed on the screen of the information device;
In response to a prediction request designating a specific time zone from the information device, the power usage status data for 30 days or more and the weighting factor are read from the storage unit, and the statistical processing is performed by multiplying the weighting factor. A predicted value providing means for calculating a predicted power consumption for a specific time zone on a certain day and transmitting a command to be displayed on the screen of the information device;
A power usage management terminal characterized by comprising: The connector portion includes a USB cable,
The power usage management terminal according to claim 1, wherein the power source is configured by USB bus power.   The predicted value providing means obtains power usage status data xi and power usage status data yi of the specific time zone immediately before the specific time zone specified by the information device for at least the last 30 days or more. The power usage amount according to claim 1, wherein the power usage amount is read from the storage unit, an approximate straight line y = Ax + B is obtained, and a predicted power usage amount in a specific time zone on the day of the request is calculated. Management terminal.   In response to a request from the information device, the control unit reads a reception intensity from the smart meter at the time when the request is received from the storage unit, and transmits a command to display on the screen of the information device. The power usage management terminal according to claim 1, 2, or 3.   For the total power consumption in a specific time zone set in advance, the power usage has decreased rapidly from the trend after statistical processing of the total power consumption in the same time zone for the past 30 days or more. If it remains high, it sends an email to a specific address, blinks the display of the information device, sounds the sound source to prompt it to reset, and the power is subject to the condition that there is no reset information. The power usage management terminal according to any one of claims 1 to 4, further comprising watch means for transmitting an e-mail following a specific address if there is an abnormality in the user. In addition, it has a temperature and humidity sensor,
The control unit is
Means for storing temperature and humidity data periodically acquired from the temperature and humidity sensor in the storage unit;
Means for reading out the temperature and humidity data of the day when the request is made from the storage unit in response to a request from the information device, and transmitting a command to be displayed on the screen of the information device;
The power usage management terminal according to claim 1, comprising:   The power usage management terminal according to claim 1, wherein the weighting factor is a weighting factor set according to a day of week attribute. In response to a request from the information device, the control unit transmits current power consumption acquired from a smart meter to the information device, and
In response to a request from the information device, an average of reading power usage status data for the last 30 minutes from the storage unit, calculating a 30-minute average value of power usage in the power usage status data, and transmitting the data to the information device A value transmission means;
In response to a request from the information device, the power usage status data for the past 30 days or more is read from the storage unit, the minimum value of the power usage amount in the power usage status data is calculated, and transmitted to the information device. The power usage amount management terminal according to claim 1, further comprising: a power usage amount transmission unit.   In response to a request from the information device, the control unit transmits power consumption status data acquired from a smart meter and power usage status data for the past 30 days or more read from the storage unit to the information device. The power usage management terminal according to any one of claims 1 to 7, further comprising status data transmission means. A first wireless communication unit for performing wireless communication with a smart meter, a second wireless communication unit for performing wireless communication with an information device including a smartphone, a tablet, and a personal computer, a connector unit, a display unit, an operation unit, In a power usage management terminal comprising a storage unit, a power source, and a control unit having a computer,
The computer,
Performance data storage means for storing 30 minutes or more of power usage status data obtained every 30 minutes periodically from the smart meter in the storage unit,
A preset weighting factor is assigned to the power usage status data periodically acquired from the smart meter on a daily basis, and the power consumption at an arbitrary time point is predicted from the regression coefficient of the weighted data and the nearest instantaneous data. Computing means for
Real-time value providing means for reading out power usage status data on the day of the request from the storage unit in response to a display request from the information device and transmitting a command to be displayed on the screen of the information device;
In response to a prediction request designating a specific time zone from the information device, the power usage status data for 30 days or more and the weighting factor are read from the storage unit, and the statistical processing is performed by multiplying the weighting factor. A predicted value providing means for calculating a predicted power consumption for a specific time zone on a given day and transmitting a command to be displayed on the screen of the information device;
A program for a power usage management terminal characterized in that it functions as a computer program. The information device,
9. Requesting the power usage management terminal according to claim 8 to transmit to the information device the current power consumption, a 30-minute average value of the most recent power consumption, and a minimum value of the power consumption over the past 30 days. And receiving check data acquisition means,
Determination means for determining whether or not to forget to turn off the power consumption device based on the current power consumption received by the check data acquisition means, the 30-minute average value of the most recent power consumption, and the lowest value of the power consumption over the past 30 days ,
Determination result display means for displaying the determination result of the determination means on the screen of the information device;
A program for an information device characterized by functioning as The information device,
A check data acquisition means for requesting and receiving the power consumption management terminal according to claim 9 to transmit the current power consumption and power usage status data of more than a minute to the information device,
An average value transmission means for calculating a 30-minute average value of the most recent power consumption based on the power usage status data received by the check data acquisition means;
Based on the power usage status data received by the check data acquisition means, the minimum usage power amount calculation means for calculating the minimum value of the power usage amount in the power usage status data,
Determining means for determining whether or not to forget to turn off the power consuming device based on the current power consumption, the 30-minute average value of the most recent power consumption, and the lowest value of the power consumption over the past 30 days;
Determination result display means for displaying the determination result of the determination means on the screen of the information device;
A program for an information device characterized by functioning as