JP2003256505A - Method, system and device for diagnosing energy consumption, computer program and recording media - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an energy consumption diagnostic method capable of deciding whether the energy reduction effect of the advise is small or large, an energy consumption diagnostic system, an energy consumption diagnostic device, a computer program and a recording media. <P>SOLUTION: Whether the advice included in a result of diagnosis, is executed or not is received from a customer terminal 30 through a communicating means 15 after the passage of a predetermined period from the transmission of the result of diagnosis from a management server 10 to the customer terminal 30, the reduction of the energy consumption obtained by executing the advice is calculated by a CPU 11 when the advice is executed, the calculated reduction corresponded to the advice is stored in a hard disc 13, and the advice to be added to the result of diagnosis is selected by the CPU 11 on the basis of the reduction of the energy consumption obtained by executing each advice. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an energy usage diagnostic method for diagnosing energy usage, an energy usage diagnostic system and an energy usage diagnostic device, a program for causing a computer to diagnose energy usage, and the program recorded therein. Recorded medium.

[0002]

2. Description of the Related Art Diagnosis of energy consumption is performed for the purpose of promoting energy saving. For example, the energy usage amount of the diagnosis target is evaluated based on the standard value such as the average value of the energy usage amount of the same attribute having a similar family structure and house structure of customers who use energy. If the energy usage is higher than the standard value, energy is diagnosed as wasted and a low rating is given. In addition, the diagnosis result such as the evaluation is notified and the advice regarding the reduction of the energy consumption is also given. For example, a list of advices is given or advices randomly selected are given.

[0003]

However, it is not clear whether each customer is executing the advice, and it is not possible to grasp whether the advice is functioning effectively. In addition, since it is unclear whether or not advice is executed, the effect of reducing energy consumption due to advice is also unclear.
For example, advice that has a high reduction effect cannot be given priority.

The present invention has been made in view of such circumstances, and the amount of energy consumption of each advice is calculated by accepting the presence or absence of execution of the presented advice and calculating the degree of reduction of the amount of energy consumption by execution of the advice. It is an object of the present invention to provide an energy usage diagnostic method, an energy usage diagnostic system, an energy usage diagnostic device, a computer program, and a recording medium capable of determining the magnitude of the reduction effect of the above.

Further, according to the present invention, the effect of reducing the amount of energy used for each attribute of each advice is calculated by receiving the presence or absence of execution of the presented advice and calculating the degree of reduction of the amount of energy use for each attribute by executing the advice. It is an object of the present invention to provide an energy usage diagnostic method, an energy usage diagnostic device, and a computer program capable of determining the size of the energy consumption.

It is another object of the present invention to provide an energy usage amount diagnosis method, an energy usage amount diagnosis device, and a computer program capable of increasing the execution probability of advice by presenting a plurality of pieces of advice. .

Further, the present invention is effective (reduction degree) by selecting the advice to be added to the diagnosis result based on the calculated reduction degree or the reduction degree and the accepted attribute.
It is an object of the present invention to provide an energy usage amount diagnosis method, an energy usage amount diagnosis device, and a computer program capable of presenting high-quality advice.

[0008]

According to a first aspect of the present invention, there is provided an energy use amount diagnosis method, which includes a receiving device for receiving data including the energy use amount, and data including the received energy use amount and advice regarding reduction of the energy use amount. A storage device that stores the information, an information processing device that executes a process including a process of diagnosing the received energy usage amount and a process of adding advice to the diagnosis result, and a transmission device that transmits the diagnosis result to a transmission source of the energy usage amount. In the energy usage amount diagnosis method for diagnosing the received energy usage amount, adding the advice to the diagnosis result and transmitting the same, the advice added to the diagnosis result is executed after a predetermined period has elapsed from the transmission of the diagnosis result. The step of accepting the presence or absence of
If the advice is executed, the information processing apparatus calculates a degree of reduction in energy consumption by executing the advice, and a step of storing the calculated degree of reduction in the storage device in association with the advice. , It is characterized in that the degree of reduction in energy usage for each advice is obtained.

A method of diagnosing energy consumption according to a second aspect of the present invention includes a receiving device for receiving data including the amount of energy used and the attribute of a measuring unit for measuring the amount of energy used,
A storage device for storing data including received energy usage and advice regarding reduction of energy usage, and a processing including a diagnostic processing for diagnosing received energy usage according to attributes and processing for adding advice to a diagnostic result. An energy use amount diagnosis for diagnosing the received energy use amount using an information processing device to be executed and a transmission device for transmitting a diagnosis result to a transmission source of the energy use amount, and adding advice to the diagnosis result and transmitting it. In the method, after a lapse of a predetermined period from the transmission of the diagnosis result, a step of accepting whether or not the advice added to the diagnosis result is received by the reception device, and if the advice is executed, the energy consumption amount by the execution of the advice is calculated. The step of calculating the reduction degree by the information processing device and the calculated reduction degree are associated with the advice and the attribute. And a storing device,
It is characterized in that the degree of reduction in energy usage is obtained for each attribute of each advice.

In the energy usage amount diagnosis method according to the third invention, in the first or second invention, a plurality of advices are added to the diagnosis result, and after the diagnosis result is transmitted,
It is characterized in that it has a step of accepting the selection of advice to be executed by the reception device, and whether or not the advice is executed is received by the reception device after a predetermined period has elapsed since the selection of the advice was accepted.

The energy consumption diagnosis method according to a fourth aspect of the present invention is the information processing apparatus according to any one of the first to third aspects of the invention, based on the reduction degree stored in the storage device or the reduction degree and the accepted attribute. , It is characterized by selecting advice to be added to the diagnosis result.

An energy usage amount diagnosis system according to a fifth aspect of the present invention receives an energy usage amount from another device, diagnoses the received energy usage amount, and presents a diagnosis result including advice regarding reduction of the energy usage amount to the other one. In the energy usage diagnostic system including a central device for transmitting to the device, after a predetermined period of time from the transmission of the diagnostic result, the presence or absence of the execution of the advice included in the diagnostic result, a receiving means for receiving from the other device, When the advice is executed, it is provided with a calculating unit that calculates a reduction degree of the energy usage amount by the execution of the advice, and a storage unit that stores the calculated reduction degree in association with the advice. It is characterized in that it is designed to obtain the degree of reduction.

An energy usage amount diagnosis apparatus according to a sixth aspect of the present invention receives an energy usage amount, diagnoses the received energy usage amount, and outputs a diagnosis result including advice regarding reduction of the energy usage amount as a source of the energy usage amount. In the energy usage amount diagnostic device to be transmitted to the receiving device, after a predetermined period has passed from the transmission of the diagnostic result, a reception unit that accepts whether the advice included in the diagnostic result is executed, and if the advice is executed, the advice is executed. It is characterized in that it comprises a calculating means for calculating a reduction degree of energy consumption and a storage section for storing the calculated reduction degree in association with advice, and is adapted to obtain a reduction degree of energy usage for each advice. To do.

An energy usage amount diagnosis apparatus according to a seventh aspect of the present invention receives an energy usage amount and an attribute of a measurement unit for measuring the energy usage amount, diagnoses the received energy usage amount according to the attribute, and uses the energy usage. Whether or not the advice included in the diagnosis result is executed after a predetermined period has passed from the transmission of the diagnosis result in the energy usage amount diagnostic device that transmits the diagnosis result including the advice regarding the reduction of the amount to the transmission source of the energy usage amount. And a storage unit that stores the calculated reduction degree in association with the advice and the attribute when the advice is executed. , The energy consumption reduction amount for each attribute of each advice is obtained.

In the energy consumption amount diagnosing device according to an eighth aspect of the invention, in the sixth or seventh aspect of the invention, the diagnosis result includes a plurality of pieces of advice, and the accepting means executes the diagnosis result after transmitting the diagnosis result. Accept a selection of advice from
It is characterized in that whether or not the advice is executed is received after a predetermined period has elapsed since the selection of the advice was received.

The energy consumption diagnostic apparatus according to the ninth aspect of the present invention is the energy consumption diagnostic apparatus according to any one of the sixth to eighth aspects of the invention, which is added to the diagnosis result based on the reduction degree stored in the storage unit or the reduction degree and the accepted attribute. It is characterized by comprising a selecting means for selecting an advice to be given.

A computer program according to a tenth aspect of the present invention causes a computer to receive an energy usage amount, diagnose the received energy usage amount, and transmit a diagnosis result including advice regarding reduction of the energy usage amount, to the energy usage amount. In the computer program to be sent to the original, a procedure for allowing the computer to accept the execution of the advice included in the diagnosis result after a predetermined period has passed from the transmission of the diagnosis result, and an advice when the computer has executed the advice. And the computer that calculates the degree of reduction in energy consumption by executing
It is characterized by including a procedure of storing the calculated reduction degree in association with the advice.

A recording medium according to the eleventh aspect of the present invention causes a computer to receive an energy usage amount, diagnose the received energy usage amount, and transmit a diagnosis result including advice on reduction of the energy usage amount, to the energy usage amount. The computer program to be sent to the original is recorded,
In a computer-readable recording medium,
After a predetermined period of time has passed from sending the diagnostic result to the computer,
The procedure of accepting whether or not the advice included in the diagnosis result is executed, the procedure of calculating the reduction degree of the energy usage amount by the execution of the advice when the computer has executed the advice, and the calculated reduction of the energy consumption by the computer. A computer program including a procedure for storing the degree in association with the advice is recorded.

In the first, fifth, sixth, tenth, and eleventh inventions, the presence / absence of execution of the advice included in the diagnosis result is accepted after a predetermined period has elapsed from the transmission of the diagnosis result.
For example, when the energy usage is measured in units of one month, the presence or absence of execution of the advice presented three months ago is accepted. Further, for example, at the time of diagnosing the amount of energy used, a question is asked as to whether or not the advice presented at the time of diagnosis three months ago is executed, and whether or not the advice is executed is accepted. When the advice is executed, the reduction degree of the energy usage amount due to the execution of the advice is calculated. For example, the difference between the energy usage amount of the month in which the advice is executed and the energy usage amount of the same month of the previous year is calculated. Alternatively, for example, the difference between the deviation value of the energy usage amount of the month in which the advice is executed and the deviation value of the energy usage amount of the same month of the previous year is obtained. The calculated reduction degree is stored in the storage device in association with the advice. By storing the reduction degree for each advice, for example, it is possible to obtain the average value of the reduction degree for each advice and judge the magnitude of the energy reduction effect of each advice by the average value. In addition, for example, highly effective advice can be preferentially presented.

In the second and seventh aspects of the invention, the amount of energy used is diagnosed according to the attribute. For example, the overuse of the energy usage amount and the like are evaluated based on the reference value set for each attribute. The reduction degree calculated in the same manner as in the first aspect of the invention is stored in the storage device in association with the advice and the accepted attribute. By storing the degree of reduction for each advice and attribute, for example, it is possible to obtain the average value of the degree of reduction for each attribute of each advice and judge the magnitude of the energy reduction effect for each attribute of each advice by the average value. become. Further, for example, it becomes possible to preferentially provide advice that is highly effective for the attributes of the customer.

In the third and eighth inventions, since the diagnosis result includes a plurality of advices, the advice to be executed is selected after the diagnosis result is transmitted. For example, when a plurality of pieces of advice are presented, the selection of the advice that can be executed is accepted. After a lapse of a predetermined period from accepting the advice selection, the presence / absence of execution of the advice is accepted as in the first or second invention. By presenting a plurality of pieces of advice, there is a high possibility that the advice will be executed.

In the fourth and ninth aspects of the invention, the advice to be added to the diagnosis result is selected based on the reduction degree stored in the storage unit or the reduction degree and the accepted attribute. For example, advice with a high effect (degree of reduction) is preferentially selected and added to the diagnosis result. Alternatively, for example, advice having a high effect on the customer's attribute is preferentially selected and added to the diagnosis result. It is possible to present highly effective advice and efficiently promote energy saving.

[0023]

BEST MODE FOR CARRYING OUT THE INVENTION The present invention will be specifically described below with reference to the drawings showing the embodiments thereof. FIG. 1 shows an example of the configuration of the energy usage diagnostic system according to the present invention. Figure 1
In the communication network 20 such as the Internet
Management server (energy consumption diagnostic device, central device) 1
0 and the customer terminal (other device) 30 are connected.

The management server 10 receives the energy usage amount from the customer terminal 30, diagnoses the received energy usage amount, and transmits the diagnosis result including the advice regarding the reduction of the energy usage amount to the customer terminal 30. Management server 1
0 is a CPU (Central Processing Unit) 11 and D
A RAM (Random Access Memory) 14 such as a RAM, a hard disk 13, an external storage unit 12 such as a flexible disk drive or a CD-ROM drive, and a communication unit 15 that controls communication with the communication network 20.
An input means 16 such as a mouse and a keyboard, and an output means 17 such as a monitor and a printer are provided.

The CPU 11 controls the above-mentioned units 12 to 17 of the management server 10. Further, the CPU 11 stores the program or data received from the input unit 16 or the communication unit 15, the program or data read from the external storage unit 12 or the hard disk 13 in the RAM 14, and executes the program stored in the RAM 14 or calculates the data. Various processes such as the above are performed, and various process results or data used for various processes are stored in the RAM 14. RAM14
The data such as the calculation result stored in the
It is stored in the hard disk 13 or output from the output means 17 or the communication means 15.

The communication means 15 receives from the customer terminal 30 the energy consumption and the attributes of the customer (measurement unit) whose energy consumption is measured. The received energy usage amount and attributes are stored in the hard disk 13 by the CPU 11. The attribute includes a customer number for identifying each customer. For example, as shown in FIG. 2, the energy usage amount (usage amount) is stored for each customer. In the example of FIG. 2, the energy usage is measured on a monthly basis. Hereinafter, the information including the energy usage amount of each customer for each month shown in FIG. 2 and the evaluation described later will be referred to as customer usage amount information.

The CPU 11 calculates the average value and standard deviation of the energy usage amount for each attribute based on the customer usage amount information stored in the hard disk 13. The calculated average value and standard deviation are stored in the hard disk 13 by the CPU 11.
Memorized in. For example, as shown in FIG. 3, the average value and the standard deviation of the monthly energy consumption of each attribute are stored.
The average value and standard deviation are calculated once a month. Less than,
Information including the average value and the standard deviation of the energy usage amount of each month shown in FIG. 3 is referred to as attribute usage information.

The CPU 11 evaluates the energy usage amount received from the customer terminal 30 by using the average value of the attribute usage amount information as a standard value which is a standard for evaluating the energy usage amount. For example, the energy usage amount E _{y, m in the} month y year is y _{y, m} <μ _{y, m} −1. _{, With} respect to the average value μ _{y, m} and the standard deviation σ _{y, m in the} month y year. When 5σ _{y, m} is satisfied, it is evaluated as “A: less than standard” and μ _{y, m} −1.5σ _{y, m} ≦ E _{y, m} <μ _{y, m} −0.
When 5σ _{y, m} is satisfied, it is evaluated as “B: slightly less than the standard”, and μ _{y, m} −0.5σ _{y, m} ≦ E _{y, m} <μ _{y, m} +0.
When 5σ _{y, m} is satisfied, it is evaluated as “C: standard” and μ _{y, m} + 0.5σ _{y, m} ≦ E _{y, m} <μ _{y, m} +1.
When 5σ _{y, m} is satisfied, it is evaluated as “D: slightly higher than the standard”, and when μ _{y, m} + 1.5σ _{y, m} ≦ E _{y, m} is evaluated, “E: More than the standard” is evaluated To do.

The evaluations (A, B, C, D, E) are stored in the "evaluation" of the customer usage amount information shown in FIG. Further, advice is added to the diagnosis result based on the evaluation. The identification number (advice number) of the added advice is
It is stored in the "advice number" of the customer usage amount information shown in FIG. The diagnosis result to which the advice is added is transmitted from the communication means 15 to the customer terminal 30.

The amount of energy used is generally measured separately for electric power, gas, water, etc. In this case, the average value and standard deviation can be obtained for each of electric power, gas and water. Fig. 4 shows an example of attribute usage amount information in which the average value and standard deviation are calculated for each of electric power, gas, and water. Further, FIG. 5 shows an example of the customer usage amount information when the average value and the standard deviation are obtained for each of electric power, gas and water. Based on the average value and standard deviation obtained for each of electric power, gas, and water, evaluation can be performed for each of electric power, gas, and water, and, for example, advice can be added for each of electric power, gas, and water.

It is also possible to determine the amount of energy used for each application. For example, the energy usage of gas can be divided into kitchen, hot water supply, and heating. For example,
First, the amount of gas used for the kitchen is obtained based on attributes such as the number of family members, the structure of the house, and the number of owned gas appliances for the kitchen. Next, by utilizing the fact that the total amount of gas used when heating is not used is the sum of the amount for kitchen and the amount for hot water supply, the amount of hot water supply gas used at this time is obtained. Further, the amount of hot water supply gas used during the period when heating is not used is obtained by utilizing the correlation between the amount of hot water supply gas used during the period when heating is not used and the temperature. Then, the amount of gas used for kitchen and the amount of gas used for hot water supply are subtracted from the total amount of gas used to obtain the amount of gas used for heating.

FIG. 6 shows an example of attribute usage amount information when the gas usage amounts for the kitchen, hot water supply, and heating are obtained. Further, FIG. 7 shows an example of the customer usage amount information when the average value and the standard deviation are calculated for each gas usage amount for the kitchen, hot water supply, and heating.
Based on the average value and standard deviation obtained for each gas usage amount for the kitchen, hot water supply, and heating, evaluation is performed for each gas usage amount for the kitchen, hot water supply, and heating, for example, for kitchen, hot water supply, and heating Advice can be added for each gas usage.

Further, advice information including advice is stored in the hard disk 13. An example of the advice information is shown in FIG. The advice information includes an advice number for identifying the advice, an energy use device to which the advice is applied, the content of the advice, a season to which the advice is applied, an energy classification to which the advice is applied, an application to which the advice is applied, and the like. "Instrument" of advice information
Indicates the equipment included in the customer's attributes, "season" is spring,
"Energy classification" indicating summer, autumn, winter, or all seasons
Indicates the categories of electricity, gas, water, etc., and the “use” is in the kitchen,
Shows applications such as hot water supply and heating.

The communication means 15 operates as a means (accepting means) for accepting the execution / non-execution of the advice included in the diagnosis result after a lapse of a predetermined period from the transmission of the diagnosis result. When the diagnosis result includes a plurality of advices, the communication unit 15 receives the selection of the advice to be executed after transmitting the diagnosis result, and executes the advice after a predetermined period has elapsed since the selection of the advice was received. Accept the presence or absence.

When the CPU 11 receives the advice execution, the CPU 11 operates as a means (calculation means) for calculating the reduction degree of the energy usage amount by the execution of the advice. The reduction degree is calculated according to the reduction amount of the energy usage amount when the advice is executed and when the advice is not executed. For example, the energy consumption Ea of the month when the advice is executed,
The difference ΔE ΔE = Ea−Eo from the energy usage amount Eo in the same month of the previous year (advice is not executed) is obtained.

However, it is general that the average value of the amount of energy used fluctuates year by year, such as the amount of energy used for cooling and heating fluctuates according to the temperature. Therefore, the energy saving index Ia Ia = (Aa-Ea) ÷ Sa is calculated using the energy usage amount Ea of the month for which the advice is executed, the average value Aa of the energy usage amount of the month, and the standard deviation Sa. , Same month of last year (no advice given)
Energy consumption amount Eo, the average value Ao of the energy consumption amount of the month, and the standard deviation So are used to obtain an energy saving index Io Io = (Ao-Eo) / So, and the advice is executed for the month. Energy saving index I
The difference ΔI ΔI = Ia−Io between a and the energy saving index Io of the same month of the previous year is calculated.

Here, the average values Ao and Aa and the standard deviation S
For o and Sa, it is preferable to use the average value and the standard deviation of the energy usage amount of the customer who has not executed the advice, but the average value and the standard value stored in the attribute usage amount information shown in FIG. Standard deviation can also be used.
As the energy consumption amounts Eo and Ea are smaller, the energy saving indexes Io and Ia are larger, and it can be determined that energy saving is realized. The larger ΔI is, the larger the energy saving effect due to execution of advice is. You can judge.

The calculated reduction degree (ΔI) is stored in the hard disk 13 in association with the advice. In the present embodiment, the calculated reduction degree is stored in the hard disk 13 in association with the advice and the attribute. For example, in FIG.
The advice execution information shown in is stored in the hard disk 13. The advice execution information is a reception number that identifies a reception that is scheduled to execute each advice, an advice number of the advice that is scheduled to be executed, a customer who executes the advice (customer number), attributes of the customer, and a start year when the advice execution schedule is received. -Month, Confirmation year and month of confirmation of whether or not advice is executed, Confirmation result (A: Executing, B: Executing if noticeable, C: Not executing much, D: Not executing) , Reduction level, etc. The confirmation result is "D"
In the case of (not executed), the reduction degree is not calculated.

The CPU 11 calculates the average value of the reduction degree for each attribute of each advice based on the advice execution information and stores it in the hard disk 13. For example, the advice effect information shown in FIG. 10 is stored in the hard disk 13. The advice effect information includes the attribute of each advice and the average value of the reduction amount for each confirmation result. The CPU 11 extracts a reduction degree having the same advice number, attribute, and confirmation result from the advice execution information, calculates an average value, and stores it in the advice effect information.

The CPU 11 operates as a means (selection means) for selecting the advice to be added to the diagnosis result based on the reduction degree stored in the hard disk 13. In the present embodiment, the advice to be added to the diagnosis result is selected based on the reduction degree of the advice effect information corresponding to the accepted attribute. Prioritize the selection of advice with high reduction.

A computer program recorded on a recording medium such as a CD-ROM is read by the external storage means 12,
By storing it in the hard disk 13 and causing the CPU 11 to execute it, the CPU 11 can be operated as each of the above-mentioned means. The communication means 15 may be used to receive a computer program from another device connected to the communication network 20 and store the computer program in the hard disk 13.

Although not shown, the customer terminal 30 also has a CPU, a RAM such as a DRAM, a hard disk, an external storage means such as a flexible disk drive or a CD-ROM drive, which is similar to the management server 10.
Communication means for controlling communication with the communication network 20,
It has input means such as a mouse and a keyboard, and output means such as a monitor and a printer.

The hard disk of the customer terminal 30 stores customer attributes. The attribute is input from the input means. Attributes include information about residents such as single family, married couple, elderly couple, couple and children, living together with the elderly, number of family members, etc., and information about house structure such as wooden or rebar, single-family or collective housing, floor area, etc. And information about the area such as a postal code, and information about energy-using equipment such as an air conditioner, a shower, and a gas water heater.

The amount of energy used may be measured by a measuring device. For example, as shown in FIG. 11A, the amount of energy used is measured, and the measured amount of energy used and attributes are transmitted to the management server 10. When the measuring instrument 26 to be operated is provided in the customer's house, the energy usage amount and the attribute measured by the measuring instrument 26 are transmitted to the management server 10. Generally, the energy usage amount accumulated in one month is transmitted.

The energy consumption may be measured by a meter reader. For example, as shown in FIG. 11 (b), the meter reader or the like inputs the energy consumption and inputs the energy consumption and the attribute. When using the mobile terminal 28 for transmitting to the management server 10, the energy usage amount and the attribute input to the mobile terminal 28 are transmitted to the management server 10. Generally, the energy usage amount accumulated in one month is transmitted.

As shown in FIG. 11C, the customer terminal 30
It is also possible to input the amount of energy used from the input means (not shown), store it in the hard disk (not shown), and send it to the management server from the communication means (not shown). Further, it is also possible to accept the energy usage amount and the attribute from the collection server (other device) 32 that collects the energy usage amount and the attribute similarly to the management server 10. Collection server 3
It is also possible to send the diagnostic result to the second.

Since the attribute transmitted to the management server 10 includes the customer identification number (customer number), for example, of the attributes, only the customer number is stored in the customer terminal 30 and the mobile terminal 2.
8 or the measuring instrument 26 side, and others can be stored in the hard disk 13 of the management server 10.

Measuring instrument 2 shown in FIG. 11 (a) or (b)
6 or the portable terminal 28 sends the energy usage amount to the management server 10, it is not necessary to input the energy usage amount used for diagnosis.
The energy usage amount corresponding to the customer number included in the received attribute can be read from the hard disk 13 for diagnosis. If the energy usage amount is not stored in the management server 10, the energy usage amount is input and transmitted from the input means of the customer terminal 30. In addition, for example, the measuring instrument 26
It is also possible to transmit the usage amount of electricity from the customer terminal and the usage amount of water and gas from the customer terminal 30.

Next, the diagnosis of the energy consumption amount using the energy consumption amount diagnosis system according to the present invention will be described. Before explaining the diagnosis, FIG. 12 shows an example of the procedure of calculating the average value and the standard deviation of the energy usage amount for each attribute. The energy usage amount (hereinafter referred to as usage amount) is input or measured by the input means (not shown) of the customer terminal 30, the portable terminal 28 or the measuring device 26 (S10). The customer terminal 30, the mobile terminal 28, or the measuring instrument 26 transmits the input or measured usage amount and the prestored attribute to the management server 10 (S12). The attributes are stored in advance in a hard disk (not shown) of the customer terminal 30, a flash memory (not shown) of the portable terminal 28 or the measuring instrument 26, and the like.

The communication means 15 of the management server 10 receives the transmitted usage amount and attribute (S14). The received usage amount is stored in the hard disk 13 by the CPU 11 (S16). 1 and 11 (a), (b),
The usage amount sent from a large number of customers (not shown in FIG. 7C) is also stored in the hard disk 13 in the same manner.

The CPU 11 calculates the average value and standard deviation of the usage amount for each attribute (S18). The calculated average value and standard deviation are stored in the hard disk 13 by the CPU 11.
(S20). Specifically, it is added or updated to the attribute usage amount information stored in the hard disk 13.

Next, FIG. 13 shows an example of the procedure for evaluating the amount used. In this description, a case where the usage amount is not stored in the management server 10 will be described as an example. The diagnosis applicant operates the input means (not shown) of the customer terminal 30 to input the usage amount (S60). After the usage amount is input, the CPU (not shown) of the customer terminal 30 transmits the usage amount stored in the RAM (not shown) and the attributes stored in the hard disk (not shown) from the communication means (not shown) to the management server 10 (S62). .

The used amount and attributes transmitted are the management server 1
It is received by the communication means 15 of 0 (S64), and diagnosed by the CPU 11 (S66). After the diagnosis, the CPU 11 adds the advice to the diagnosis result (S68) and transmits it from the communication means 15 (S70). The transmitted diagnosis result is received by the communication means (not shown) of the customer terminal 30, and is sent to the output means (not shown) by the CPU (not shown) to be displayed (S72).

For example, an evaluation of the energy usage of this month, an evaluation based on a comparison with the energy usage of the last month, an evaluation based on a comparison of the energy usage of the same month of the previous year,
Diagnosis results such as an evaluation of the total energy usage up to this month of this year, an evaluation based on a comparison with the total energy usage up to this month of last year, and the like are displayed. Further, as shown in FIG. 14 or 15, for example, the advice is displayed and it is confirmed whether or not the advice is executed.

FIG. 14 shows an example in which there is one piece of advice. The user of the customer terminal 30 operates the mouse (input means) to set the "Yes" button 42a, which is set on the screen.
Click the "No" button 42b. If the user is willing to give the advice, the “Yes” button 4
Click 2a, and if there is no intention, click the "No" button 42b. The user clicks the button 42a / button 42b to select whether or not to execute the advice (S74). The CPU (not shown) that has detected the click of the buttons 42a, 42b sends selection information indicating whether or not to execute the advice to the management server 10 from the communication means (not shown).

Further, in FIG. 15, a plurality of advices (4
In this case, the user of the customer terminal 30 operates the mouse (input means) to select one of the radio buttons 48a, 48b, 48c, 48d and 48e set on the screen. Then, the “OK” button 46 is clicked. If the user is willing to carry out, advice 1,2,
Radio buttons 48a, 48b, 48 corresponding to 3 and 4
Select c and 48d. When there is no intention to execute the advice, the radio button 48e is selected. In the example shown in FIG. 15, the radio button 48c (advice 3) is selected.

The user selects radio buttons 48a to 48d / radio button 4 to execute / not execute the advice.
8e is selected (S74), and the “OK” button 46 is clicked. By the CPU (not shown) that detects the click of the “OK” button 46, the selection information indicating whether or not to execute the advice and the advice (advice 1, 2, 3 or 4) to be executed is transmitted from the communication means (not shown) to the management server 10. (S76).

The transmitted selection information is the communication means 1 of the server.
5, and is stored in the hard disk 13 (S7
8). For example, the reception number of the advice execution information shown in FIG. 9, the advice number, the customer (customer number), the customer attribute,
The start year-month is stored. The above-mentioned diagnosis result and advice are carried out, for example, at monthly intervals.

Next, FIG. 16 shows an example of the procedure for confirming the execution of the advice. In the present embodiment, the execution of the advice is confirmed after the selection information shown in FIG. 13 is received and stored (S78). Confirmation of the execution of the advice is performed, for example, three months after receiving the selection information. Therefore, 3
Confirm the selection information received a month ago.

For the customer who sent the advice, the CPU
11, the "start year-month" of the advice execution information is 3
Search for months ago advice. When the number of hits is zero (the search result is zero), the reduction degree calculation and storage described below are not performed.

If there is a hit, the confirmation page is transmitted to the customer terminal 30 (S80). The transmitted confirmation page is received by the communication means (not shown) of the customer terminal 30 and displayed on the output means (not shown) (S82). The confirmation page is read by the CPU 11 from the template stored in the hard disk 13, created based on the search result, and transmitted from the communication means 15.

An example of the confirmation page is shown in FIGS. 17 and 18. FIG. 17 shows an example in which the degree of execution of advice is two, and the user of the customer terminal 30 uses a mouse (input means).
To operate the "Yes" button 42 set on the screen.
a, Click the "No" button 42b. The user can click the "Yes" button 4 when executing the advice.
Click 2a, and if not, click the "No" button 42b. The CPU 11 that detects the click of the buttons 42a and 42b sends the confirmation result (whether or not it is being executed) to the management server 10 from the communication means (not shown) (S84).

FIG. 18 shows an example in which the degree of execution of advice is plural (four), and the user of the customer terminal 30 operates a mouse (input means) (not shown) to set it on the screen. One of the buttons 44a, 44b, 44c, 44d is clicked. The user uses the button 44a if he / she is executing the advice, the button 44b if he / she is executing the advice, the button 44c if he / she does not execute the advice, and the button 4 if he / she does not execute the advice.
Click 4d. The confirmation result is transmitted from the communication means (not shown) to the management server 10 by the CPU (not shown) that detects the click of the buttons 44a to 44d (S8).
4).

The transmitted confirmation result is received by the communication means 15 (S86) and stored in the hard disk 13.
For example, the “confirmation result” of the advice execution information shown in FIG.
Memorized in. In addition, the date of acceptance of the confirmation result is
Memorize in "moon". In FIG. 9, in the “confirmation result”, A is “execution”, B is “execution if noticed”,
C represents "not executed" and D represents "not executed".

If the confirmation result is A, B or C, the CPU 1
The reduction degree (ΔI) is calculated by 1 (S88). The calculated reduction degree is registered in the “reduction degree” of the advice execution information. Based on the advice execution information, the CPU 11 obtains the average value of the reduction degree (ΔI) for each execution degree of each attribute and stores it in the advice effect information shown in FIG. 10, for example (S90). In the advice effect information, the effect (reduction degree) of each advice is stored for each attribute and the degree of execution.

Based on the advice effect information, it is possible to add advice with a large reduction degree (high effect) to the diagnosis result. FIG. 19 shows an example of the procedure for adding advice.
Shown in. As in the conventional case, the CPU 11 selects a plurality of pieces of advice according to the energy classification, the use, or the appliance in which the amount of energy used is larger than the average (S68a). The advice numbers of the plurality of selected advices are the CPU 11
Is stored in the RAM 14. CPU11 is RA
The customer attribute and the reduction degree corresponding to each advice number stored in M14 are acquired from the advice effect information (S
68b), and stores it in the RAM 14. Based on the acquired reduction degree, for example, the magnitude of the execution degree A, the CPU 11
For example, the maximum or the four highest-ranked advices are selected (S68c).

The advice content of the selected advice is
R is read from the advice information by the CPU 11.
It is stored in AM14. The CPU 11 controls the effect (amount of energy reduction) of the read advice content.
The reduction amount is updated according to the obtained reduction degree. In addition, the CPU 1 sets display settings such as adding a description regarding the reduction amount when the degree of execution is B (execution if noticed).
1 (S68d). FIG. 20 shows an example of the advice set for display. The example shown in FIG. 20 corresponds to the example shown in FIG. The advice set for display is added to the diagnosis result (S68e).

Although the embodiments of the present invention have been described above, the present invention is not limited to the above-mentioned embodiments. For example, execution of a plurality of advices can be accepted. In this case, the index (reduction degree) of the energy usage amount at the time of executing the advice includes the index corresponding to each advice. For example, when three pieces of advice are executed, indexes I1, I2, I3 corresponding to each piece of advice,
Degree of execution of each advice K1, K2, K3 (however, K
1, K2 and K3 are, for example, 3 for the execution degree A, 2 for the execution degree B, 1 for the execution degree C, and D for the execution degree.
, And the total index I is I = (K1 × I1) + (K2 × I2) + (K3 × I
3) can be represented. By acquiring the degree of execution for three months, I1, I2, and I3 are C
It can be calculated by PU11.

[0069]

According to the first, fifth, sixth, tenth, and eleventh inventions, the presence / absence of execution of advice included in the diagnosis result is accepted, and the degree of reduction in energy consumption due to execution of advice is calculated. By storing the calculated reduction degree in association with the advice, the magnitude of the energy reduction effect of each advice can be determined based on the reduction degree. It is possible to give highly effective advice to customers preferentially.

According to the second and seventh inventions, the presence / absence of execution of the advice included in the diagnosis result is accepted, the reduction degree of the energy usage amount by the execution of the advice is calculated, and the calculated reduction degree is the attribute of the advice and acceptance. By storing it in association with, the magnitude of the energy reduction effect for each advice attribute can be determined based on the reduction degree. It is possible to give priority to highly effective advice for customer attributes.

According to the third and eighth inventions, since the advice to be executed is selected from the plurality of advices, it is possible to increase the probability of executing the advice. Energy saving can be promoted by increasing the number of persons who execute advice.

According to the fourth and ninth aspects of the invention, the advice to be added to the diagnosis result is selected based on the reduction degree stored in the storage unit, or the reduction degree and the accepted attribute, to determine the effect (reduction degree). Energy saving can be efficiently promoted by presenting high advice and prompting execution.

[Brief description of drawings]

FIG. 1 is a diagram showing a configuration example of an energy usage amount diagnosis system according to the present invention.

FIG. 2 is a diagram showing an example of customer usage amount information stored in a management server shown in FIG.

FIG. 3 is a diagram showing an example of attribute usage amount information stored in a management server shown in FIG. 1.

FIG. 4 is a diagram showing an example of attribute usage amount information stored in the management server shown in FIG. 1.

5 is a diagram showing an example of customer usage amount information stored in the management server shown in FIG. 1. FIG.

6 is a diagram showing an example of attribute usage amount information stored in the management server shown in FIG.

7 is a diagram showing an example of customer usage amount information stored in the management server shown in FIG. 1. FIG.

8 is a diagram showing an example of advice information stored in the management server shown in FIG. 1. FIG.

9 is a diagram showing an example of advice execution information stored in the management server shown in FIG.

10 is a diagram showing an example of advice effect information stored in the management server shown in FIG. 1. FIG.

FIG. 11 is a diagram illustrating collection of energy usage and attributes.

FIG. 12 is a flowchart showing an example of a procedure for calculating an average value and a standard deviation.

FIG. 13 is a flowchart illustrating an example of an evaluation procedure of a usage amount.

FIG. 14 is a diagram showing an example of displaying and selecting advice.

FIG. 15 is a diagram illustrating another example of displaying and selecting advice.

FIG. 16 is a flowchart illustrating an example of a confirmation procedure of advice execution.

FIG. 17 is a diagram illustrating an example of confirmation of execution of advice.

FIG. 18 is a diagram illustrating another example of confirmation of advice execution.

FIG. 19 is a flowchart illustrating an example of a procedure for adding advice.

FIG. 20 is a diagram illustrating an example of display of advice.

[Explanation of symbols]

10 management server (energy consumption diagnostic device, central device) 11 CPU (calculation means, selection means, information processing device) 13 hard disk (storage unit, storage device) 15 communication means (reception means, reception device, transmission device) 30 customer Terminal (other device) 32 Collection server (other device)

Claims (11)

[Claims] 1. A reception device that receives data including energy usage amount, a storage device that stores data including received energy usage amount and advice regarding reduction of energy usage amount, and diagnostic processing and diagnosis of received energy usage amount. The received energy usage is diagnosed by using an information processing apparatus that executes a process including a process of adding advice to the result, and a transmission device that transmits a diagnosis result to a source of the energy usage, and a diagnosis result is displayed. In the energy usage amount diagnosis method of adding and transmitting advice, there is a step of accepting whether or not the advice added to the diagnosis result is executed by a receiving device after a predetermined period has elapsed from the transmission of the diagnosis result, and executing the advice. In the case of, the step of calculating the energy consumption reduction degree by executing the advice in the information processing device, And a step of storing the reduction degree in association with the advice in a storage device, and obtaining the reduction degree of the energy usage amount for each advice. 2. A reception device that receives data including an energy usage amount and an attribute of a measurement unit in which the energy usage amount is measured, and data including the received energy usage amount and data including advice regarding reduction of the energy usage amount are stored. A storage device, an information processing device that executes a process including a diagnosis process of diagnosing the received energy usage amount according to the attribute and a process of adding advice to the diagnosis result, and transmits the diagnosis result to the transmission source of the energy usage amount. A method for diagnosing the amount of energy received by using the transmitting device, transmitting the diagnostic result by adding advice to the diagnostic result, and transmitting the diagnostic result after a predetermined period has elapsed from the transmission of the diagnostic result. The step of accepting whether or not the advice has been executed at the reception device, and if the advice has been executed, depending on the execution of the advice. There is a step of calculating the reduction amount of the energy consumption in the information processing device, and a step of storing the calculated reduction amount in the storage device in association with the advice and the attribute. A method for diagnosing energy consumption, characterized by obtaining a reduction degree of. 3. A plurality of pieces of advice are added to the diagnosis result, and the advice to be executed is selected after the diagnosis result is transmitted.
The energy use amount diagnosis according to claim 1 or 2, further comprising: a step of receiving the advice by the receiving device, wherein the reception device receives the presence or absence of execution of the advice after a lapse of a predetermined period after receiving the selection of the advice. Method. 4. The advice to be added to the diagnosis result is selected by the information processing device on the basis of the reduction degree stored in the storage device or the reduction degree and the accepted attribute. The method for diagnosing energy consumption according to any one of claims. 5. Accepting energy usage from other devices,
In an energy usage diagnostic system having a central device for diagnosing received energy usage and transmitting diagnostic results including advice on reduction of energy usage to the other device, after a lapse of a predetermined period from the transmission of diagnostic results. A reception unit that receives from the other device whether or not the advice included in the diagnosis result has been executed, and a calculation unit that calculates the degree of reduction of the energy usage amount by the execution of the advice when the advice is executed. An energy use amount diagnosis system, comprising: a storage unit that stores the calculated reduction degree in association with advice, and obtains the reduction degree of the energy use amount for each advice. 6. An energy usage diagnostic device for receiving an energy usage, diagnosing the received energy usage, and transmitting a diagnosis result including advice regarding reduction of the energy usage to a source of the energy usage. After a predetermined period has passed from the transmission of the diagnosis result, a reception unit that receives whether or not the advice included in the diagnosis result has been executed, and, if the advice has been executed, a calculation for calculating the reduction amount of the energy usage amount by executing the advice. An energy usage amount diagnostic apparatus comprising: a means and a storage unit that stores the calculated reduction level in association with an advice, so as to obtain the reduction level of the energy usage amount for each advice. 7. An energy usage amount and an attribute of a measurement unit for measuring the energy usage amount are accepted, the received energy usage amount is diagnosed according to the attribute, and a diagnostic result including advice on reduction of the energy usage amount is obtained. In the energy usage amount diagnostic device for transmitting to the transmission source of the energy usage amount, after a predetermined period has elapsed from the transmission of the diagnosis result, a reception unit that accepts whether or not the advice included in the diagnosis result is executed, and the execution of the advice. If yes, the energy consumption amount for each advice attribute is provided, including a calculating unit that calculates the energy consumption reduction amount by executing the advice, and a storage unit that stores the calculated reduction amount in association with the advice and the attribute. The energy usage amount diagnostic device is characterized in that it is designed to obtain the reduction degree of. 8. The diagnosis result includes a plurality of advices, and the reception unit receives the selection of the advice to be executed after the transmission of the diagnosis result, and after a predetermined period has elapsed since the selection of the advice was received. The energy usage amount diagnostic device according to claim 6 or 7, wherein the presence or absence of execution of the advice is accepted. 9. The selection means for selecting an advice to be added to a diagnosis result based on the reduction degree stored in the storage unit, or the reduction degree and the accepted attribute. An energy usage diagnostic device according to claim 1. 10. A diagnostic result including a computer receiving energy usage, diagnosing the received energy usage, and advice including reduction of energy usage,
In the computer program for transmitting to the transmission source of the energy consumption, in the computer, after a predetermined period has elapsed from the transmission of the diagnostic result,
The procedure for accepting whether or not the advice included in the diagnosis result has been executed, the procedure for calculating the degree of reduction in energy usage due to execution of the advice when the computer has executed the advice, and the calculated reduction for the computer A computer program including a procedure of storing a degree in association with advice. 11. A diagnostic result, which includes causing a computer to receive an energy usage amount, diagnosing the received energy usage amount, and advice on reducing the energy usage amount,
In a computer-readable recording medium in which a computer program to be transmitted to a transmission source of the energy consumption is recorded, after a predetermined period has elapsed from the transmission of the diagnostic result to the computer,
The procedure for accepting whether or not the advice included in the diagnosis result has been executed, the procedure for calculating the reduction amount of energy usage due to execution of the advice when the computer has executed the advice, and the calculated reduction for the computer A computer-readable recording medium having recorded therein a computer program including a procedure for storing degrees in association with advice.