JP2010224585A - Energy saving support device, method of reporting energy consumption, program and program medium for energy saving support device, method of updating statistic of energy consumption, method of updating normal range of energy consumption, and energy saving support system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an energy saving support system, which effectively utilizes data of a past abnormal energy consumption. <P>SOLUTION: A statistic of acquired energy consumption is determined, and a normal range of energy consumption is calculated from the statistic. When an energy consumption departing from the normal range is acquired, similar abnormal tendency data is extracted and transmitted. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention includes an energy saving support device that monitors energy consumption, a program for the energy saving support device, a method for notifying energy consumption, a method for updating a statistical value of energy consumption, a method for updating a normal range of energy consumption, and The energy saving support system.

In recent years, it has been proposed to monitor energy consumption and perform management to further reduce energy consumption.
In general, energy-saving support devices promote energy-saving activities by acquiring energy consumption of equipment that uses electricity, gas, water, etc., and departments that have this equipment, and displaying statistics on the acquired energy consumption. (For example, refer patent document 1). The energy management system described in Patent Document 1 measures and displays energy consumption such as electricity, gas, and water, sets a target value from the measured past energy consumption, and sets energy for the target value. It is configured to calculate and display the degree of energy saving from consumption.

In addition, the energy management system described in Patent Document 2 is configured such that a data center connected to the Internet calculates energy consumption statistics and the output device displays the statistically processed data.
Many of such conventional energy management systems are configured to promote energy saving activities by displaying the energy saving achievement level for the target value on the screen or displaying statistical data of energy consumption on the screen. Energy saving is achieved by controlling the operation of equipment.

JP 2007-72842 A JP 2005-25654 A

  Now, when the energy consumption efficiency of equipment installed in stores such as supermarkets, convenience stores, restaurants, etc. that develops chains declines, the energy consumption of equipment inevitably rises in order to maintain the store environment. . For example, when the energy consumption efficiency of the air conditioner is significantly reduced due to the clogging of the air conditioner filter, the air conditioner consumes more energy than before the filter is clogged in order to keep the temperature in the store constant. And try to maintain the temperature in the store. In addition, an increase in the number of visitors due to events held near the store may cause the store energy consumption to rise sharply.

Suppressing such an increase in energy consumption by controlling the equipment may cause customers to feel uncomfortable, for example, the temperature in the store rises, and the customer may be distant from the energy conservation activities. .
Therefore, when taking a comprehensive approach to energy conservation, promoting energy conservation activities that cannot be reflected in the operation control of devices as described above can be a more effective energy conservation measure.

On the other hand, the conventional energy management systems described in Patent Document 1 and Patent Document 2 propose an approach for energy saving activities that depend on the operation control of the equipment, and thus know-how that cannot be reflected in the operation control of the equipment. It is difficult to promote energy conservation activities involving
The present invention has been made in view of the above points, and its purpose is not only to control the operation of equipment, but also to promote energy conservation activities from a comprehensive perspective with know-how, and some An energy-saving support device that encourages participatory energy-saving activities in which employees actively participate in energy-saving activities, and a method and method for notifying energy consumption, programs and program media for energy-saving support devices, It is to provide an energy saving support system.

  In order to achieve the above-described object, an energy saving support device according to claim 1 of the present invention includes a statistical value calculation unit that calculates a statistical value of an acquired amount of consumed energy, and a statistical value calculated by the statistical value calculation unit. Use normal range calculation means to calculate the normal range of energy consumption and to determine abnormal tendency when the energy consumption deviating from this normal range is acquired, and store abnormal trend data similar to this abnormal trend in the database And an abnormal tendency transmitting means for transmitting the abnormal trend data extracted by the abnormal tendency determining means.

The energy saving support device according to claim 2 is the energy saving support device according to claim 1, wherein the normal range is a range in which the maximum value of the statistical value is an upper threshold and the minimum value of the statistical value is a lower threshold. It is characterized by being.
The energy saving support device according to claim 3 is the energy saving support device according to claim 1, wherein the abnormal tendency data is data in which the amount of energy consumption and the cause data corresponding to the amount of energy consumption are associated with each other. It is characterized by.

An energy saving support device according to claim 4 is the energy saving support device according to claim 1, further receiving cause data indicating a response to the abnormal trend data transmitted by the abnormal trend transmitting means, It comprises an abnormality cause receiving means for associating the data and the energy consumption deviating from the normal range and storing them in a database.
The energy saving support device according to claim 5 is the energy saving support device according to claim 1, wherein the statistical value calculation means obtains the acquired energy consumption when the energy consumption amount falling within the normal range is acquired. The new statistical value is calculated by including the amount in the acquired energy consumption, and the statistical value is updated.

An energy saving support device according to claim 6 is the energy saving support device according to claim 5, wherein the normal range calculation means calculates a new normal range using the new statistical value updated by the statistical value calculation means. The normal range is updated.
Moreover, the notification method of the energy consumption amount of the energy saving support apparatus according to claim 7 uses a statistical value calculation unit that calculates a statistical value of the acquired energy consumption amount, and a statistical value calculated by the statistical value calculation unit. A method for notifying an energy consumption amount of an energy saving support device comprising a normal range calculating means for calculating a normal range of the consumed energy amount, and determining an abnormal tendency when the consumed energy amount deviating from the normal range is acquired. Then, abnormal trend data similar to the abnormal tendency is extracted from the database, and the extracted abnormal trend data is transmitted.

  According to an eighth aspect of the present invention, there is provided a method for updating a statistical value of an energy consumption amount of an energy saving support apparatus, a statistical value calculation unit that calculates a statistical value of an acquired energy consumption, and a statistical value calculated by the statistical value calculation unit. A method for updating a statistical value of energy consumption amount of an energy saving support device comprising a normal range calculation means for calculating a normal range of energy consumption using a value, wherein the statistical value calculation means includes energy consumption that falls within a normal range When an amount is acquired, the acquired energy consumption amount is included in the acquired energy consumption amount to calculate and update a new statistical value.

  According to a ninth aspect of the present invention, there is provided a method for updating a normal range of an energy consumption amount of an energy saving support device, a statistical value calculation unit that calculates a statistical value of an acquired energy consumption, and a statistical value calculated by the statistical value calculation unit. And a normal range calculation means for calculating a normal range of the energy consumption amount using the value, and a method for updating the normal range of the energy consumption support device of the energy saving support device, wherein the statistical value calculation means includes the energy consumption within the normal range When the amount is acquired, the acquired energy consumption is included in the acquired energy consumption, a new statistical value is calculated and the statistical value is updated, and the normal range calculation means uses the updated statistical value. The new normal range is calculated and the normal range is updated.

  Further, the program of the energy saving support device according to claim 10 has a function of calculating a statistical value of the acquired energy consumption amount in a computer that can be used as an energy saving support device that monitors the energy consumption amount of the facility equipment, A function to calculate the normal range of energy consumption using this statistical value, and when an energy consumption that deviates from this normal range is acquired, it is determined as an abnormal trend, and abnormal trend data similar to this abnormal trend is obtained. A function of extracting from the database and a function of transmitting the extracted abnormal trend data are realized.

  In addition, the program of the energy saving support device according to claim 11 is a computer that can be used as an energy saving support device that monitors the energy consumption amount of the equipment, and a function that calculates a statistical value of the acquired energy consumption amount; A function that calculates the normal range of energy consumption using this statistical value, and when the amount of energy consumption that deviates from this normal range is acquired, it is determined that the trend is abnormal, and abnormal trend data that is similar to this abnormal trend Is extracted from the database, and when this extracted abnormal trend data is acquired, and when the amount of energy consumption that falls within the normal range is acquired, the acquired energy consumption amount is included in the acquired energy consumption and new statistics A function that calculates the value and updates the statistical value, and uses this updated statistical value to calculate the new normal range and update the normal range. To revealed.

A storage medium for a program of the energy saving support apparatus according to claim 12 is characterized in that a program for realizing the function according to claim 10 or 11 is held.
In addition, the energy saving support system according to claim 13 connects the store side device that collects a predetermined amount of energy consumption with the store side device via a communication network, and sends the energy consumption in the previous period sent from the store side device. An energy-saving support system having an energy-saving support device that determines an abnormality trend related to energy consumption based on the information and notifies the determination result to the store-side device,
The store side device collects the energy consumption amount consumed in the store and transmits it to the energy saving support device, and the abnormal tendency receiving means for receiving and outputting the determination result sent from the energy saving support device And
The energy saving support device includes: an energy acquisition unit that receives the amount of energy consumed sent from the store side device; a statistical value calculation unit that calculates a statistical value of the acquired energy consumption received by the energy acquisition unit; A normal range calculating means for calculating a normal range of the consumed energy amount using the statistical value calculated by the statistical value calculating means, and an abnormality when the consumed energy amount deviating from the calculated normal range is received by the energy acquiring means. An abnormal trend extracting means for extracting abnormal trend data similar to the abnormal trend from the database, and an abnormal trend transmitting means for transmitting the abnormal trend data extracted by the abnormal trend extracting means. Features.

An energy saving support system according to claim 14 is the energy saving support system according to claim 13, further comprising:
The store-side device includes an abnormality cause input unit that inputs cause data that responds to the determination result via the input unit, and an abnormality cause transmission unit that transmits the cause data input by the abnormality cause input unit to the energy saving support device. Prepared,
The energy saving support device includes an abnormality cause receiving unit that receives cause data sent from a store side device and stores the cause data and an energy consumption amount deviating from a normal range in association with each other in a database. To do.

  According to the configuration of the present invention, the statistical value of the acquired energy consumption amount is calculated to obtain a statistical value, and the normal range of the energy consumption amount is calculated using the statistical value. And when the amount of energy consumption that deviates from the normal range is acquired, similar abnormal trend data is extracted and transmitted together with the amount of energy consumed that deviates from the normal range, so past cause data for abnormalities in the amount of energy consumed Can be immediately notified to the store. And the store side which received this information becomes easy to specify the cause of abnormality.

That is, since the cause of the abnormality that occurred in the past can be handled as know-how (empirical knowledge), it is possible to promote more effective energy saving activities by transmitting this know-how.
In addition, by accumulating know-how, it is possible to formulate various implementation plans for energy conservation measures.

It is a block diagram which shows the structure of the energy saving assistance system which concerns on this invention. It is a flowchart which shows the process which an energy saving assistance system performs according to embodiment of this invention. FIG. 3 is a block diagram of an energy database according to an embodiment of the present invention. FIG. 4 is a block diagram of a statistics database according to an embodiment of the present invention. (A) It is an example which shows normal energy consumption amount which the shop A consumed according to embodiment of this invention. (B) It is the screen figure which output the graph which plotted the amount of energy consumption shown in Fig.5 (a), and the maximum value and minimum value of a statistical value for every time, respectively. (A) It is an example in which the amount of energy consumed by the store A is abnormal according to the embodiment of the present invention. (B) It is the screen figure which output the graph which plotted the amount of energy consumption shown in Fig.6 (a), and the maximum value and minimum value of a statistical value for every time, respectively. FIG. 4 is a block diagram of an abnormal trend / cause association database according to an embodiment of the present invention. It is a block diagram after an abnormal trend / cause association database is updated according to the embodiment of the present invention.

DESCRIPTION OF EXEMPLARY EMBODIMENTS Hereinafter, preferred embodiments of the invention will be described with reference to the drawings of FIGS. These drawings are for explaining an embodiment of the present invention, and the present invention is not limited by these drawings.

  FIG. 1 is a configuration diagram of an energy saving support system according to an embodiment of the present invention. In FIG. 1, the energy saving support system 1 communicates from store-side devices 200, 300, and 400 that collect energy usage amounts and notify abnormal trends that are arranged in each store, and store-side devices 200, 300, and 400. Each energy consumption amount sent via the network is acquired, the data is analyzed, the tendency of abnormality is determined, and the energy saving support apparatus 100 that notifies the determination result to each store is configured. . The following description of the embodiment relating to the store-side device will be made using the store-side device 200 as an example.

  The store side device 200 collects the energy consumption amount of electricity, gas, water, etc. consumed in the store and transmits it to the energy saving support device, and the determination result sent from the energy saving support device 100. An abnormality tendency receiving means 202 that receives and outputs, an abnormality cause input means 204 that inputs cause data for responding to a determination result received from the energy saving support apparatus 100 via the input unit, and an abnormality cause input means 204 An abnormality cause transmitting unit 203 that transmits the input cause data to the energy saving support apparatus 100 is provided.

  Moreover, the shop side apparatus 200 is realizable with general purpose computers, such as a personal computer. In this case, the units 201 to 204 are held in a storage medium such as a compact disk (Compact Disk (trademark)) and installed as a personal computer application program in a storage device of the personal computer. The means 201 to 204 are functions that can be realized as a program executed by the CPU under the control of an operation system of a personal computer.

On the other hand, the energy saving support apparatus 100 receives the energy consumption amount sent from the store side device 200, transfers it to the energy database 110 and stores it, and the energy acquisition means 101 received by the energy acquisition means 101. A statistical value calculating unit 102 that calculates a statistical value and stores the statistical value in the statistical value database 111; a normal range calculating unit 103 that calculates a normal range of energy consumption using the statistical value calculated by the statistical value calculating unit 102; ,
When the energy acquisition unit 101 receives an amount of energy consumption that deviates from the normal range calculated by the normal range calculation unit 103, it is determined as an abnormal trend, and abnormal trend data similar to the abnormal trend is determined as past abnormalities. The abnormal tendency extraction means 104 that extracts from the abnormal tendency / cause association database 112 in which the tendency is stored, and the determination result including the abnormal trend data extracted by the abnormal tendency extraction means 104 and the consumed energy amount that deviates from the normal range. An abnormal tendency transmitting means 105 for transmitting to the store side device 200 is provided.

Furthermore, the energy support apparatus 100 receives cause data sent from the store side apparatus 200 indicating a response to the determination result, and accumulates and stores the cause data and the consumed energy amount that deviates from the normal range. An abnormality cause receiving means 106 is provided.
The energy saving support device 100 can be realized by a general-purpose computer such as a personal computer. In this case, the means 101 to 106 are held in a storage medium such as a compact disk (Compact Disk (trademark)) and installed as a personal computer application program in a storage device of the personal computer. The means 101 to 106 are functions that can be realized as a program executed by the CPU under the control of an operation system of a personal computer.

Further, the energy saving support system 1 according to the embodiment of the present invention can arbitrarily select the type of energy according to the type of a measuring instrument (not shown) or a sensor (not shown). The energy collection location can be appropriately selected depending on the number of sensors connected to the vessel.
Here, prior to explaining the operation of the energy saving support system according to the embodiment of the present invention, the processing of the statistical value calculation means 102 and the normal range calculation means 103 will be described.

FIG. 3 shows the amount of energy consumed by the store A in a predetermined period received by the energy acquisition unit 101 and stored in the energy database 110. That is, FIG. 3 shows the amount of energy consumed that has been acquired by the energy saving support apparatus 100.
Now, the statistical value calculation means 102 calculates statistical values such as an average value, a standard deviation, a maximum value, and a minimum value for each time by using the acquired energy consumption (FIG. 3) acquired by the energy database 110. Each is calculated and stored in the statistical value database 111 (FIG. 4). FIG. 4 shows an example in which the statistical value calculation means 102 is updated every hour in the period from July 1, 2007 to September 30, 2007, based on the acquired energy consumption (FIG. 3) held in the energy database 110. Are the statistical values stored in the statistical value database 111 by calculating the average value, standard deviation, maximum value, and minimum value of the consumed energy amount. For example, the average value, standard deviation, maximum value, and minimum value of the field at 2 o'clock are “4.30”, “0.61”, “5.84”, and “2.33”, respectively. It is a statistical value calculated from the 2 o'clock field in the period from July 1, 2007 to September 30, 2007 in 3).

In the example described here, the statistical value calculation unit 102 calculates a statistical value for each hour and stores it in the statistical value database 111. However, the statistical value calculation unit 102 stores the statistical value for each unit time. The integrated integrated value may be obtained and stored in the statistical value database 111.
On the other hand, the normal range calculation unit 103 calculates the normal range of the energy consumption amount using the statistical values held in the statistical value database 111. For example, when the maximum value of the statistical value is the upper limit threshold of the normal range and the minimum value of the statistical value is the lower limit threshold of the normal range, the maximum value and the minimum value of the predetermined time held in the statistical value database 111 are Apply each one. For example, since the maximum value of the field at 2 o'clock in FIG. 4 is “5.84” and the minimum value is “2.33”, the normal range at 2 o'clock is 5.84 (upper threshold) to 2.33 (lower limit). Threshold). Similarly, in FIG. 4, the normal range at 10:00 is 47.48 (upper threshold) to 33.14 (lower threshold).

The normal range calculation means 103 can also calculate the normal range using the average value and the standard deviation. The normal range calculation means 103 uses the average value and standard deviation of each time zone calculated by the statistic value calculation means 102 to obtain the upper limit threshold of the normal range using Equation 1, and the normal range lower limit threshold using Equation 2. Ask for.

Upper threshold = average + m × standard deviation Equation 1
Lower threshold = average−m × standard deviation Equation 2

Here, Expressions 1 and 2 are based on the assumption that the data distribution of the energy consumption amount is applied to the normal distribution in statistics, and in this example, the calculation is performed with m = 2. It is known that 95% of the data distributed on the normal distribution curve is secured by setting m to 2. If m is set to 3, a wider range of data can be secured. Therefore, as long as normal distribution is considered, m can be applied as an arbitrary positive real number.

  For example, at 10:00 in FIG. 4, the average value of the energy consumption is 40.86 and the standard deviation is 2.96. At this time, the normal range calculation means 102 assigns 40.86 to the average value of each of Equations 1 and 2, and assigns 2.96 to each standard deviation to calculate the upper and lower thresholds of the normal range. . Therefore, the upper limit threshold value of electricity consumption at 10 o'clock in FIG. 4 is 40.86 + 2 × 2.96 = 46.78, and the lower limit threshold value is 40.86−2 × 2.96 = 34.94. The normal range using the average value and standard deviation at the time is calculated as 46.78 (upper threshold) to 34.94 (lower threshold).

That is, the normal range obtained using the average value and the standard deviation is a variance value obtained by multiplying the standard deviation by a positive real number, and the upper limit threshold of the normal range is a value obtained by adding the variance value to the average value. The lower limit threshold of the normal range is a value obtained by subtracting the variance value from the average value.
If another normal range calculation method is added, cluster analysis and pattern matching techniques can be applied to the normal range calculation method. As described above, the normal range calculation means 103 can calculate the normal range by a plurality of methods, and these calculation methods are appropriately selected.

In the following description, the statistical value calculation means 102 calculates a statistical value (base statistical value) in advance and stores it in the statistical value database 111 based on the energy consumption (FIG. 3) of the acquired store A in a predetermined period. (FIG. 4), it is assumed that the normal range (base normal range) is obtained in advance by the normal range calculation means 103 using the maximum and minimum values of the base statistical value.
5 and 6 are examples in which the energy acquisition unit 101 receives the energy consumption amount of the store A collected every hour on July 22, 2008 and stores it in the energy database 110. FIG. For convenience, FIGS. 5 and 6 show the amount of energy consumed by the store A on the same day. As will be described later, the amount of energy consumed stored in the 10:00 field in FIG. 5 is the amount of energy consumed by the store A from 9:00 to 10:00 on July 22, 2008. The amount is determined to be normal. The amount of energy saved in the 10:00 field in FIG. 6 is the amount of energy consumed by the store A between 9:00 and 10:00 on July 22, 2008, and this energy consumption is determined to be abnormal. It is what is done.

FIG. 7 is an example of the abnormal tendency / cause association database 112 in which the tendency of abnormalities that have occurred in the past is stored. The abnormal trend / cause association database 112 is a database in which the date, the energy consumption consumed by the store at every predetermined time corresponding to the date, and the abnormal cause are associated with each other, and is a csv format file, for example. (In this way, data in which date, energy consumption, and cause of abnormality are associated is also referred to as abnormal trend data.)
In FIG. 7, the image of the abnormal tendency stored in the column of September 5, 2005 shows that the amount of energy increases in all time zones due to clogging of the air conditioning filter. In this time zone, the energy consumption amount is about 10 [kW] larger than the average value of the statistical value database 111 shown in FIG. That is, the characteristic that the amount of energy consumption increases in all time zones is considered to be due to clogging of the air conditioning filter.

  Similarly, in FIG. 7, the image of the abnormal tendency stored in the column of May 7, 2006 shows that the amount of energy consumption increases during the midnight time zone from 1 o'clock to 4 o'clock due to forgetting to turn off the lights. In this time zone from 1 o'clock to 4 o'clock, the energy consumption amount is about 15 [kW] larger than the average value of the statistical value database 111 in FIG. That is, the characteristic that the amount of energy consumption increases in a predetermined time zone at midnight may be due to forgetting to turn off the luminaire.

  Similarly, in FIG. 7, the image of the abnormal trend stored in the column of July 22, 2006 shows that the amount of energy consumed at 12:00 and 13:00 during the day increases due to the increase in the number of visitors. Thus, it is an image that the amount of energy consumption is about 20 [kW] larger than the average value of the statistical value database 111 of FIG. 4 in the time zone of 12:00 and 13:00. That is, the characteristic that the amount of energy consumption increases at a predetermined time during the day is considered to be an increase in the number of visitors.

FIG. 2 is a flowchart for explaining the operation of the energy saving support system in the embodiment of the present invention. Hereinafter, the operation of the energy saving support system in the embodiment of the present invention will be described with reference to FIG.
In S20, the energy transmission unit 201 collects the amount of energy consumed in the store A such as electricity, gas, and water for every unit time (for example, 1 minute, 5 minutes, every hour and can be set). And the energy transmission means 201 transmits the collected energy consumption to the energy saving assistance apparatus 100 installed in a chain store headquarters via a network.

Thus, the energy consumption amount transmitted from the store A is received by the energy acquisition means 101 of the energy saving support apparatus 100 (S10), and is stored in the energy database 110 every time (S11). The stored energy consumption is, for example, in the form shown in FIGS.
Subsequently, the process proceeds to S12. In S12, the abnormal tendency extraction unit 104 refers to the received energy consumption amount of the store A from the energy database 110, and determines whether or not the energy consumption amount deviates from the base normal range. As a result of the determination, when it is determined that the received energy consumption of the store A has deviated from the normal range (Yes in S12), the abnormal tendency determination unit 104 detects an abnormality from the abnormal tendency / cause association database 112 (FIG. 7). Abnormal trend data similar to the above trend is extracted.

  For example, it is assumed that the received energy consumption of the store A is shown in FIG. The abnormal tendency extraction means 104 determines whether or not the energy consumption amount of all the time falls within the normal range of the corresponding time. Since the energy consumption amount shown in FIG. 6 (a) exceeds 47.48, which is the upper limit threshold of the normal range at 10:00, the abnormal tendency extraction means 104 indicates that the energy consumption amount at 10:00 is abnormal. It is determined that there is a tendency. Then, as shown in FIG. 6B, a graph-like screen in which the maximum and minimum values of the statistical values and the energy consumption amount of the store A are plotted for each time is output to a display device (not shown).

  Then, the abnormal trend extraction unit 104 searches the abnormal trend / cause association database 112 for abnormal trend data on the same day (same month date) as the date when the energy determined to be abnormal is consumed. That is, the abnormal trend data search method uses the date when the amount of energy consumption outside the normal range is consumed as a key (the search key in FIG. 6 may be “22 days” or “July 22”). This is achieved by searching the trend / cause association database 112. In this example, since the date when the energy consumption determined to be an abnormal trend is consumed is July 22, 2008, data of July 22, 2006 is extracted from the abnormal trend / cause association database 112 (FIG. 7). Is done.

Thus, the process of the energy saving assistance apparatus 100 which extracted the abnormal tendency data transfers to S13.
Next, the process of the abnormal tendency transmission unit 105 of the energy saving support apparatus 100 that has shifted to S13 will be described. In S13, the abnormal tendency transmitting means 105 stores the energy consumption amount deviating from the normal range, the date when the energy consumption amount is consumed, and the abnormal tendency data extracted by searching as described above corresponding to this date. Transmission to the side device 200 using e-mail or the like. In other words, the energy saving support device 100 transmits the determination result including the energy consumption deviating from the normal range, the date when the energy consumption was consumed, and the abnormal trend data searched using this date as a key, to the store side device 200. To do. When a plurality of abnormal trend data is retrieved, all of the abnormal trend data is transmitted.

  The determination result transmitted from the energy saving support device 100 to the store side device 200 in this way is received by the abnormal tendency receiving unit 202 of the store side device 200, and the abnormal trend receiving unit 202 displays the determination result on the display of the store side device 200. The device is output (S21). And the operator of the shop side apparatus 200 investigates the cause of an abnormal tendency based on the output determination result (S22). Thus, since the abnormal tendency data estimated as the cause is included in the determination result, the operator of the shop side device 200 can easily estimate and grasp the cause.

  And as a result of this survey, “the event was held in the neighborhood, and the amount of electricity used increased because the amount of air-conditioning usage increased because there were about twice as many visitors in the time zone at 10 o'clock.” If found, the operator who operates the shop side device 200 inputs the cause of the abnormality to respond to the received determination result by the abnormality cause input means 204 (e-mail input screen of e-mail, etc.) and supports energy saving together with the determination result. It transmits to the apparatus 100 using an electronic mail etc. (S23). That is, the store side apparatus 200 transmits the cause data (the cause of abnormality and the determination result) in response to the determination result transmitted from the energy saving support apparatus 100.

  Then, the abnormality cause receiving means 106 of the energy saving support device 100 receives the cause data sent from the store side device 200 (S16), corresponds to the cause and date of the abnormality included in the cause data, and this date. The energy consumption amount consumed by the store side device 200 stored in the energy database 110 is associated, and the data of July 22, 2008 is stored in the abnormal trend / cause association database 112 as shown in FIG. In addition to (accumulated), it is stored (S17). It should be noted that there is no need for a single cause of abnormality, and two, three, or more may be stored as necessary.

  Now, the processing returns to S12, and the operation of the energy saving support apparatus 100 when the energy consumption amount of the store A does not deviate from the base normal range will be described. For example, it is assumed that the received energy consumption of the store A is as shown in FIG. The abnormal tendency extraction means 104 determines whether or not the amount of energy consumed for all times falls within the normal range. As a result of this determination, the energy consumption amount shown in FIG. 5A is within the normal range of 47.48 (upper threshold) to 33.14 (lower threshold), so there is no tendency for abnormality. It is determined that it is normal (S12 No). And the abnormal tendency extraction means 104 displays the graph-like screen which plotted the maximum value and minimum value of a statistical value, and the energy consumption amount of the store A for every time as shown in FIG.5 (b) by a display apparatus (not shown). Output to. And the energy saving assistance apparatus 100 transfers a process to S14.

  In S <b> 14, the statistical value calculation unit 102 adds the amount of consumed energy that has been newly received and determined to be normal to the amount of energy consumption that has already been acquired (reflected in the statistical value). Statistical values (average value, standard deviation, maximum value, minimum value) are calculated and stored in the statistical value database 111 as described. That is, the statistical value database 111 is updated to a statistical value (new statistical value) reflecting the normal energy consumption every time the normal energy consumption is received.

  Subsequently, in S15, the normal range calculation unit 103 calculates the normal range as described in the normal range calculation unit using the statistical value stored in the process S14. Therefore, the normal range is updated to a normal range (new normal range) in which the normal energy consumption amount is reflected every time the normal energy consumption amount is received. The normal range calculated in this way is data that reflects only the normal energy consumption amount, so that the determination criterion of the abnormal tendency becomes high reliability and the number of reception of the normal energy consumption amount increases further. The accuracy will increase. In addition, the update operation of the normal range of the operator can be reduced, and the maintenance becomes easy.

  Moreover, although the description described in the embodiment of the present invention has described the energy saving support system including the chain store headquarters and one store, the abnormal trend / cause association database 111 is configured by information of only one store. However, it is desirable that the information of a plurality of stores be collected. By doing in this way, the information of a predetermined store is utilized for the energy saving activity of another store, and the effect of promoting energy saving activity more efficiently is acquired.

As described above, in contrast to the conventional energy-saving activities that are often implemented by device operation control, the present invention has a comprehensive viewpoint including know-how (empirical knowledge) that cannot be reflected in device operation control. It will be possible to promote standing energy conservation activities. In addition, according to the present invention, all employees can recognize such know-how as common information without any barriers, so energy conservation activities are not promoted by only a small number of managers. Participatory participatory energy conservation activities can be promoted. Thereby, the employee's awareness regarding energy saving activities can be further increased, and more effective energy saving activities can be promoted.

DESCRIPTION OF SYMBOLS 1 Energy saving assistance system 100 Energy saving assistance apparatus 101 Energy acquisition means 102 Statistical value calculation means 103 Normal range calculation means 104 Abnormal tendency extraction means 105 Abnormal tendency transmission means 106 Abnormality cause reception means 110 Energy database 111 Statistical value database 112 Abnormal tendency / association database 200 Store side device 201 Energy amount transmission means 202 Abnormal tendency reception means 203 Abnormal cause transmission means 204 Abnormal cause input means

Claims (14)

A statistical value calculation means for calculating a statistical value of the acquired energy consumption;
A normal range calculating means for calculating a normal range of the consumed energy amount using the statistical value calculated by the statistical value calculating means;
An abnormal tendency extracting means for determining an abnormal tendency when an energy consumption amount deviating from the normal range is acquired, and extracting abnormal tendency data similar to the abnormal tendency from a database;
An energy saving support apparatus comprising: an abnormal tendency transmitting means for transmitting the abnormal tendency data extracted by the abnormal tendency determining means. The energy saving support device according to claim 1,
The energy saving support apparatus according to claim 1, wherein the normal range is a range in which the maximum value of the statistical value is an upper limit threshold and the minimum value of the statistical value is a lower limit threshold. The energy saving support device according to claim 1,
The energy saving support apparatus, wherein the abnormal trend data is data in which energy consumption is associated with cause data corresponding to the energy consumption. The energy saving support device according to claim 1, further comprising:
An abnormality cause receiving means for receiving cause data indicating a response to the abnormality tendency data transmitted by the abnormality tendency transmitting means and associating the cause data with an energy consumption amount deviating from the normal range and storing it in the database; An energy-saving support device characterized by that. The energy saving support device according to claim 1,
When the energy consumption amount that falls within the normal range is acquired, the statistical value calculation means calculates the new statistical value by including the acquired energy consumption amount in the acquired energy consumption amount, and updates the statistical value An energy-saving support device characterized by that. The energy saving support device according to claim 5,
The energy saving support apparatus, wherein the normal range calculation means calculates a new normal range using the new statistical value updated by the statistical value calculation means and updates the normal range. A statistical value calculation means for calculating a statistical value of the acquired energy consumption;
A normal range calculation unit that calculates a normal range of the energy consumption amount using the statistical value calculated by the statistical value calculation unit, and a method for notifying the energy consumption amount of an energy saving support device comprising:
When the energy consumption deviating from the normal range is acquired, it is determined as an abnormal trend, and abnormal trend data similar to the abnormal trend is extracted from the database,
A method of notifying an energy consumption amount of an energy saving support device, wherein the extracted abnormal trend data is transmitted. A statistical value calculation means for calculating a statistical value of the acquired energy consumption;
A normal range calculation unit that calculates a normal range of the energy consumption amount using the statistical value calculated by the statistical value calculation unit, and a method for updating the statistical value of the energy consumption amount of the energy saving support device, comprising: ,
When the energy consumption amount that falls within the normal range is acquired, the statistical value calculation means calculates the new statistical value by including the acquired energy consumption amount in the acquired energy consumption amount, and updates the statistical value The update method of the statistics value of the energy consumption characterized by the above-mentioned. A statistical value calculation means for calculating a statistical value of the acquired energy consumption;
A normal range calculation unit that calculates a normal range of the energy consumption amount using the statistical value calculated by the statistical value calculation unit, and a method for updating the normal range of the energy consumption amount of the energy saving support device, comprising: ,
When the energy consumption amount that falls within the normal range is acquired, the statistical value calculation means includes the acquired energy consumption amount in the acquired energy consumption amount, calculates a new statistical value, and updates the statistical value. And
The normal range calculating means calculates a new normal range using the updated statistical value, and updates the normal range, wherein the normal range of energy consumption is updated. A computer that can be used as an energy-saving support device that monitors the amount of energy consumed by equipment.
A function to calculate the statistical value of acquired energy consumption,
A function of calculating a normal range of the energy consumption using the statistical value;
A function of determining an abnormal tendency when an energy consumption amount deviating from the normal range is acquired, and extracting abnormal tendency data similar to the abnormal tendency from the database;
A program for realizing a function of transmitting the extracted abnormal tendency data. A computer that can be used as an energy-saving support device that monitors the amount of energy consumed by equipment.
A function to calculate the statistical value of acquired energy consumption,
A function of calculating a normal range of the energy consumption using the statistical value;
A function of determining an abnormal tendency when an energy consumption amount deviating from the normal range is acquired, extracting abnormal tendency data similar to the abnormal tendency from the database, and transmitting the extracted abnormal tendency data When,
When an energy consumption amount that falls within the normal range is acquired, the acquired statistical energy value is calculated by including the acquired energy consumption amount in the acquired energy consumption amount, and the statistical value is updated. A program for realizing a function of calculating a new normal range using values and updating the normal range.   A program storage medium characterized by holding a program that realizes the function according to claim 10 or 11. A store side device that collects a predetermined amount of energy consumption;
The store-side device is connected to the store-side device via a communication network, and an abnormality tendency regarding energy consumption is determined based on the previous-year energy consumption sent from the store-side device, and the determination result is used as the store-side device. An energy saving support system having an energy saving support device for notifying to
The store side device is:
Energy amount transmitting means for collecting the energy consumption amount consumed in the store and transmitting it to the energy saving support device;
An abnormal tendency receiving means for receiving and outputting the determination result sent from the energy saving support device,
The energy saving support device includes:
Energy acquisition means for receiving the consumed energy amount sent from the store side device;
A statistic value calculating means for calculating a statistic value of the acquired energy consumption received by the energy acquiring means;
A normal range calculating means for calculating a normal range of the consumed energy amount using the statistical value calculated by the statistical value calculating means;
An abnormal tendency extraction means for determining an abnormal tendency when an energy consumption amount deviating from the calculated normal range is received by the energy acquisition means, and extracting abnormal tendency data similar to the abnormal tendency from a database;
An energy saving support system comprising: an abnormal tendency transmitting means for transmitting the abnormal tendency data extracted by the abnormal tendency extracting means. The energy saving support system according to claim 13, further comprising:
The store side device is:
An abnormality cause input means for inputting cause data responding to the determination result via the input unit;
An abnormality cause transmitting means for transmitting the cause data input by the abnormality cause input means to the energy saving support device,
The energy saving support device includes:
Energy saving, characterized by comprising an abnormality cause receiving means for receiving the cause data sent from the store side device and associating the cause data with the consumed energy amount deviating from the normal range and storing it in the database Support system.