JP2002007553A - Optimum charge providing system, optimum equipment providing system, and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an optimum charge providing system, an optimum equipment providing system, and a recording medium which can present the least cost and the best equipment and service. SOLUTION: Customer's equipment or equipment group 15 is provided with a load measuring instrument 3 and load prediction data 23 are calculated by performing a predictive calculation based upon measured load data 17. On the basis of the load data 17, load prediction data 23, and equipment data 19, billed amounts 25 of this period and billed amounts 27 of the next period are calculated by charge systems according to billing system data 21 and presented to the customer.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an optimal fee providing system, an optimal device providing system, and a recording medium for presenting the minimum cost and the best device / service to a customer who uses the device or the device group. It is.

[0002]

2. Description of the Related Art Conventionally, a customer who uses a device such as a mobile phone or an air conditioner does not provide sufficient information when selecting an optimal (minimum) fee system from a variety of fee systems. The choice was based on empirical judgments and accurate, unfounded predictions. When renewing equipment currently in use (including leased equipment), if the customer selects a model that is deemed optimal from among multiple models, accurate information such as load data for the equipment currently in use is required. To use
Without quantitatively grasping the added value of the equipment, such as energy conservation, the selection was made based on empirical judgments or accurate, unfounded predictions.

[0003]

However, it is very difficult to select an optimal tariff system from a variety of tariff systems without providing sufficient information to be used as a basis for making a decision. If you choose, the customer will pay extra. In addition, it is very difficult to select the optimal model from among multiple models without providing sufficient information to determine the operating status, load status, added value, etc. of the equipment. If selected, the customer will pay extra costs or not get enough performance.

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and has as its object to provide an optimal fee providing system, an optimal equipment providing system, and a recording system capable of presenting the minimum cost and the best equipment / service. To provide a medium.

[0005]

In order to achieve the above-mentioned object, the invention according to claim 1 comprises a load measuring means for measuring a load of a device, and a load storing data measured by the load measuring means for a predetermined period. An optimal fee providing system comprising: load data retaining means for retaining data; and calculating means for calculating a fee for the device using the load data and other data.

According to the first aspect of the present invention, load data up to the time of billing can be stored in a database, and a fee can be calculated based on the stored load data. Furthermore,
According to the invention described in claims 2 to 6, the optimal fee system calculates the fee for each of various fee systems, presents the result of the fee calculation in the various fee systems to the customer, and determines the optimal fee among those fees. The service to be employed can be performed.

According to a seventh aspect of the present invention, there is provided a load measuring means for measuring a load of a device, a load data holding means for holding load data obtained by accumulating data measured by the load measuring means for a predetermined period, Calculating means for calculating a charge related to the device using other data, wherein the calculating means calculates a total cost of the device for the current term by model using data related to various devices. It is an optimal equipment providing system.

According to the invention described in claim 7, load data up to the time of device update can be stored in a database, and a fee can be calculated for each model based on the stored load data.
Further, according to the invention described in claims 8 to 10, the optimal equipment system predicts and calculates the load data of the next term, and provides the customer with the calculation result of the total cost of the current term and the next term calculated for each model and fee system. It can be carried out.

[0009]

BRIEF DESCRIPTION OF THE DRAWINGS FIG.
The embodiment will be described in detail. FIG. 1 is a diagram showing a system configuration of the optimal fee providing system 1. The optimal charge providing system 1 includes a load measuring device 3, a customer database 5, a charge calculation basic data storage device 7, a prediction data storage device 9, a charge calculation result storage device 11, a processing device 13, and the like.

The load measuring device 3 is a measuring device provided for measuring the load of the customer's device or device group 15. Here, the device includes all devices such as an air conditioner, a communication device including a mobile phone, an OA device, and a device group.
There are air conditioning systems and energy systems. The load measurement device 3 measures load data 17 such as the amount of electricity used, the amount of gas used, the temperature, the humidity, the time, the operation time, the communication time, and the communication distance of the device or the device group 15 and periodically transmits the data to the management company. I do.

The customer database device 5 stores the load data 1
7 is a storage device that accumulates and holds 7 for a certain period until the billing charge calculation time comes. Charge calculation basic data storage device 7
Is used together with the load data 17 when calculating the fee.
This is a storage device that stores various basic data. As basic data, device data 19, billing fee system data 21
Etc. The device data 19 is data unique to each model of various devices, and the billing fee system data 21 is data representing various fee systems used for calculating a billing amount charged by the utility company.

The prediction data storage device 9 is a storage device for storing the load prediction data 23 and the like.
Is load data calculated based on the load data 17 and predicted to be accumulated in the next billing calculation period. The charge calculation result storage device 11 stores a charge amount 25 for this term,
This is a storage device for holding the calculation result of the next billing amount 27 and the like, and the current billing amount 25 and the next billing amount 27 are the billing amount of the current term and the billing amount expected in the next term, respectively.

The processing device 13 calculates the current term billing amount 25 for each fee system using the load data 17, the device data 19, and the billing fee system data 21, and calculates the load amount calculated based on the load data 17. Using the prediction data 23, the device data 19, and the billing fee system data 21, the next billing amount 27 is calculated for each of various fee systems. Then, the information is presented to the customer, and the optimal (minimum) current billing amount and the next billing amount are calculated and presented to the customer from the current billing amount 25 and the next billing amount 27 calculated for each fee system. The program used for the optimal fee providing system 1 may be recorded on a CD-ROM or the like and distributed, or may be distributed via a network.

A processing procedure in the optimal fee providing system 1 will be described with reference to flowcharts shown in FIGS. The load data 17 of the customer device or device group 15 measured by the load measuring device 3 is transmitted to the management company (step 2).
01), the processing device 13 registers the load data 17 received from the customer side in the customer database 5 (step 20).
2). It is determined whether it is time to calculate the billing amount (step 203). If the time is not the calculation time, the process is repeated from step 201, and the load data 17 for the current billing charge calculation period is calculated.
To accumulate.

When it is time to calculate the billing amount, the load data 17 and the equipment data 19 are used, and in accordance with the billing fee system data 21, the billing amount for the current term 2 according to various fee systems.
5 is calculated and recorded in the charge calculation result storage device 11 (step 204). For example, the formula for calculation by the fee system using the time zone fee is as follows: charge amount in the current term 25 = basic fee + Σ (load data 17 in a certain time zone × consumption fee corresponding to the time zone). Here, the value of (load data 17 in a certain time zone × consumption fee corresponding to the time zone) may be affected by the contents of the device data 19 in some cases.

It is determined whether the customer has subscribed to the optimal fee service (step 205). The optimal fee service is a service that adopts a minimum fee to a customer from fees calculated according to various fee systems. Alternatively, the optimal service charge may be added to this. In the case of subscribing to the optimal fee service, the minimum optimal fee is calculated from the invoice amount 25 for the current term according to various fee systems calculated in step 204, and presented to the customer and billed (step 206). Return to step 201.

If the customer has not subscribed to the optimal fee service, it is determined whether or not the customer has subscribed to the next load calculation service (step 207). The next load calculation service is a service for presenting the predicted amount of the next billing amount. If the user has not subscribed to the next term load calculation service, the customer is presented with the current billing amount 25 according to various fee systems, and the customer is billed for the billing amount according to the fee system that he applied for this term (step 208). Go to 212.

If subscribed, load data 1
7 and the external influence factors, the load forecast data for the next term 23
Is calculated and recorded in the prediction data storage device 9 (step 209). Expressing the formula for calculating the load prediction data 23 in a general expression, load prediction data 23 = f (load data 17, external influence factor coefficient 1, external influence factor coefficient 2,...). Here, the external influence factor coefficient 1 and the external influence factor coefficient 2 are obtained by quantifying external influence factors such as climate and temperature.

Using the load forecast data 23 and the equipment data 19, the next billing amount 27 for each billing system is predicted and calculated according to the billing system data 21 and recorded in the billing result storage device 11 (step 210). . For example,
The formula for calculation by the fee system using the time zone fee is as follows: billing amount for the current term 27 = basic fee + Σ (load forecast data 23 for a certain time zone × consumption fee corresponding to the time zone). Here, the value of (load prediction data 23 in a certain time zone × pay-as-you-go rate corresponding to that time zone) is the value of device data 19.
May be affected by the content of

The present term billing amount 25 and the next term billing amount 27 are presented to the customer according to various fee systems, and the billing amount is billed according to the fee system which the customer has applied for this term (step 211). The customer who has been provided with the information in step 208 or 211 selects the next optimal fee system based on the information (step 212). It is determined whether there is a change in the fee structure (step 213),
If there is no change, the process returns to step 201. If there is a change in the fee structure, perform the change work (step 21).
4) Return to step 201.

In Steps 208 and 211, the optimal charge may be presented from the current charge amount 25 and the next charge amount 27. According to the above-described processing procedure, the optimal fee providing system 1 provides, as information for the customer to select the optimal fee system, the billed amounts for the current term and the next term calculated for each fee system and the optimal fee, and the customer Based on this information, it is possible to easily select whether to maintain the current fee system as it is or to change to another fee system. Further, the customer can receive the optimal fee service that always adopts the optimal optimal fee.

That is, the service provider stores the load up to the time of billing in the database, calculates the charges in various rates based on the stored data, and calculates the results of the charges in the various rates. Performs services presented to customers.
Further, based on the stored data, a fee is calculated in various fee systems, and a service is provided to the customer to adopt an optimal (minimum) fee among them. Furthermore, based on the next load forecast calculation result separately calculated using the stored data, the fee calculation is performed in various fee systems for the next forecast load,
A service is provided that presents the charge calculation results to the customer in various charge systems, including a charge system predicted to be the optimal (minimum) charge.

Next, a second embodiment of the present invention will be described in detail with reference to the drawings. FIG. 4 shows the optimum equipment providing system 4.
1 is a diagram showing a system configuration of FIG. The optimal device providing system 41 includes a load measuring device 3a and a customer database 5
a, charge calculation basic data storage device 7a, prediction data storage device 9a, device calculation result storage device 43, and processing device 1
3a and the like.

The load measuring device 3a is a measuring device provided for measuring the load of the customer's lease equipment or the lease equipment group 15a. The load measuring device 3a periodically transmits the measured load data 17a to the management company. The customer database device 5a is a storage device that stores and holds the load data 17a and the maintenance history data 45 for a certain period. The maintenance history data 45 is composed of maintenance and trouble history information on the customer's leased equipment or leased equipment group 15a, and is used when the serviceman 47 performs maintenance or repair work on the customer's leased equipment or leased equipment group 15a. This is the data to be entered.

The charge calculation basic data storage device 7a stores load data 17a and maintenance history data 4 when performing charge calculation.
5, a storage device for holding various basic data. The basic data includes the device data 19a, the running fee system data 49, the device replacement construction cost data 51, the device purchase price data 53, and the like. The device data 19a is data unique to each model of various devices, and includes device performance data 55 indicating performance, maintenance cost data 57 indicating standard maintenance cost, lease price data 59 indicating lease price, and the like. If the target device is not a leased device, the lease price data 59
Replaces initial cost.

The running fee system data 49 is data representing various running fee systems used when calculating running costs such as an electricity fee and a gas fee for the leased device or the leased device group 15a. Equipment replacement construction cost data 51 and equipment purchase price data 53
Indicates that the customer has leased equipment or leased equipment group 15
It is data showing the replacement construction cost and the purchase price of the device when changing and purchasing a.

The prediction data storage device 9a is a storage device for storing the load prediction data 23a, the maintenance prediction data 61, and the like. The load prediction data 23a is accumulated in the next lease period calculated based on the load data 17a. It is load data that is predicted to be. Device calculation result storage device 43
Is the total cost of this term 63, the added value of this term 65, the total cost of next term 6
7. A storage device for storing the calculation results of the next added value 69 and the like.

The total cost 63, the added value 65, the total cost 67, and the added value 69 of the current term are respectively the total cost of the leased equipment or the leased equipment group 15a during the lease term of the current term, added value such as energy saving, and the like. It is a total cost estimated to be applied to the leased device or the leased device group 15a during the next period, and a value of added value such as energy saving. Here, the total cost is a value obtained by adding a lease cost (initial cost), a construction cost, a running cost, a maintenance cost, and the like.
2 and the integrated value of NOX.

The processing unit 13a uses the load data 17a, the maintenance history data 45, the equipment data 19a, the running fee system data 49, and the equipment replacement construction cost data 51 to obtain a total cost of 6
3. Calculate the added value 65 for the current term. Also, load data 1
Using the load prediction data 23a and the maintenance prediction data 61, the equipment data 19a, the running fee system data 49, and the equipment replacement construction cost data 51 calculated based on the data 7a and the maintenance history data 45, the next period for each model and running fee system. The total cost 67 and the next added value 69 are calculated. Then, the information is presented to the customer.

The program used in the optimum device providing system 41 may be recorded on a CD-ROM or the like and distributed, or may be distributed via a network.

Next, the processing procedure in the optimum equipment providing system 41 will be described with reference to the flowcharts shown in FIGS. The load data 17a of the customer's lease equipment or the lease equipment group 15a measured by the load measurement device 3a is transmitted to the management company, and the maintenance history data 45 is processed by the processing device 13a.
(Step 501). Maintenance history data 45
Is input as maintenance or trouble information when the serviceman 47 performs maintenance inspection work or repair of the leased device or the leased device group 15a.

The processing device 13a registers the load data 17a and the maintenance history data 45 in the customer database 5a (Step 502). It is determined whether it is the lease contract renewal time (step 503). If it is not the lease contract renewal time, the process repeats from step 501 to store the load data 17a and the maintenance history data 45 for the current lease period.

If it is time to renew the lease contract, load data 17a, maintenance history data 45, and equipment performance data 5
5. Using the maintenance cost data 57, the lease price data 59, and the equipment replacement construction cost data 51, calculate the current term total cost 63 and the current term added value 65 for each model and running fee system according to the running fee system data 49, The result is recorded in the device calculation result storage device 43 (step 504).

The formulas for calculating the total cost 63 for the current term and the value added 65 for the current term are expressed in general terms as follows: total cost 63 = f for the current term (load data 17a, maintenance history data 45, maintenance cost data 57, lease price data, respectively). 5
9, equipment replacement construction cost data 51, running fee system data 49) This term added value 65 = f (load data 17a, equipment performance data 55).

Next, using the load data 17a of the current term, the maintenance history data 19a, the external influence factors, and the like, the load prediction data 23a and the maintenance prediction data 61 of the next term are calculated and recorded in the prediction data storage device 9a. (Step 505). Expressing the formula for calculating the load prediction data 23a in a general expression, the load prediction data 23a = f (load data 17a, external influence factor coefficient 1, external influence factor coefficient 2,...). Here, the external influence factor coefficient 1 and the external influence factor coefficient 2 are obtained by quantifying external influence factors such as climate and temperature.

The formula for calculating the maintenance prediction data 61 is, for example, maintenance prediction data 61 = maintenance history data 19a × safety factor. Here, the safety factor is a numerical value indicating the safety factor of the device, which is appropriately determined because the older the device, the more failures occur.

Load prediction data 23a, maintenance prediction data 61, equipment performance data 55, maintenance cost data 57, lease price data 59, and equipment replacement construction cost data 51
According to the running fee system data 49, the next total cost 67 and the next added value 69 are predicted and calculated for each model and running fee system, and are recorded in the device calculation result storage device 43 (step 506).

The expressions for calculating the next term total cost 67 and the next term added value 69 can be expressed in general terms as follows: Next term total cost 67 = f (load forecast data 23a, maintenance forecast data 61, maintenance cost data 57, lease price, Data 59, equipment replacement construction cost data 51, running fee system data 49) Next added value 69 = f (load prediction data 23a, equipment performance data 55).

The customer is provided with a lease equipment currently leased or a model of the lease equipment group 15a, a current term total cost 63, a current term added value 65, a next term total cost 67, and a next term added value calculated based on the running fee system currently applied for. 69,
Total cost for the current term calculated by model and running fee system 6
3. Present value added value 65, next total cost 67 and next value added value 69, as well as equipment replacement work cost data 51 and equipment purchase price data as the cost of changing or purchasing leased equipment or a group of leased equipment. 5
3 is presented (step 507).

The customer selects the next optimal lease equipment or lease equipment group and the optimal running fee system based on the information (step 508). Judgment is made as to whether there is a change, purchase, cancellation, or change in the running fee system of the leased equipment or leased equipment group (step 5).
09) If there is no change, the process returns to step 501. If there is a change, a change operation is performed (step 510),
It returns to step 501. In the case of purchase and cancellation, the processing is terminated.

According to the above processing procedure, the optimum equipment providing system 41 provides the customer with information on selecting the most suitable model and the running fee system as well as the total cost for the current term and the next term calculated for each model and the running fee system and additional information. Providing value, the customer can easily select based on this information whether to keep the current equipment and running fee structure or to change to a different model or price structure.

That is, the service provider stores the load up to the time of renewal of the device (including the lease device) in the database, calculates the added value of the device using the stored data, and presents it to the customer. Service to do. In addition to the stored data, the results of the next load prediction calculation using the stored data, the maintenance information of the equipment up to the time of the update, the initial cost and performance of the new equipment that is a candidate for the update, the estimated installation work Costs are processed on the CPU, and a service is provided for presenting information as an index of which model or charge system should be selected to the customer when the device is updated.

Although the processing procedure in the optimal equipment providing system 41 has been described above using a leased equipment or a leased equipment group as an example, the present invention is not limited to the leased equipment but can be applied to all equipment such as mobile phones. It is possible. Also, in the case of a mobile phone or the like, when a new service (for example, late-night discount) is started, it is possible to calculate the cost and the added value using such a service. Can be predicted.

As described above, according to the present embodiment, the customer receives sufficient information as a criterion for selecting an optimal fee system from various fee systems, and selects the optimal fee system. can do. In addition, the customer is provided with sufficient information as a judgment material for selecting an optimum model from a plurality of models, and can select an optimum machine.

[0045]

As described above in detail, according to the present invention, it is possible to provide an optimum fee providing system, an optimum device providing system, and a recording medium capable of presenting the minimum cost and the best device / service. .

[Brief description of the drawings]

FIG. 1 is a diagram showing a system configuration of an optimal fee providing system 1.

FIG. 2 is a flowchart showing a processing procedure of the optimal fee provision system 1.

FIG. 3 is a flowchart showing a processing procedure of the optimal fee provision system 1.

FIG. 4 is a diagram showing a system configuration of an optimum device providing system 41.

FIG. 5 is a flowchart showing a processing procedure of the optimum device providing system 41.

FIG. 6 is a flowchart showing a processing procedure of the optimum device providing system 41.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 ... Optimal charge provision system 3, 3a ... Load measuring device 5, 5a ... Customer database 7, 7a ... Charge calculation basic data storage device 9, 9a ... Prediction data storage device 11 ... Charge calculation result storage device 13, 13a ... Processing device 15: Equipment or equipment group 15a: Leasing equipment or leasing equipment group 17, 17a: Load data 21: Billing charge system data 23, 23a: Load prediction data 41: Optimal equipment providing system 43: Equipment calculation result storage device 45: Maintenance history Data 49: Running fee system data 51: Equipment replacement construction cost data 53: Purchase price data 61: Maintenance forecast data

Claims (14)

[Claims] 1. Load measuring means for measuring a load of a device, load data holding means for storing load data obtained by accumulating data measured by the load measuring means for a predetermined period, and using the load data and other data. And a calculating means for calculating a fee for the device. 2. The optimal fee providing system according to claim 1, wherein said calculating means calculates a current fee for the equipment for each fee system using various fee system data. 3. The optimal fee providing system according to claim 2, wherein the fee for the current term calculated for each fee system is presented to the customer. 4. The optimal fee provision system according to claim 2, wherein a fee schedule that minimizes the current term fee is presented to the customer from the various fee schedule data. 5. The optimal fee providing system according to claim 2, wherein a minimum optimal fee among fees of the current term calculated for each fee system is adopted for a customer. 6. A means for calculating the next load data from the load data, and using the next load data, other data, and various charge system data to calculate a next charge for the device for each charge system. The optimal fee providing system according to claim 3, further comprising: a calculating unit, wherein the next fee calculated for each fee system is presented to the customer. 7. A load measuring unit for measuring a load of a device, a load data holding unit for holding load data obtained by accumulating data measured by the load measuring unit for a predetermined period, and using the load data and other data. Calculating means for calculating a fee for the device, wherein the calculating means uses data on various devices,
An optimal equipment providing system that calculates the total cost of equipment for this term by model. 8. The other data includes equipment maintenance information, equipment initial cost, equipment performance information,
8. The optimal equipment providing system according to claim 7, wherein the equipment replacement work cost is provided. 9. The optimal equipment providing system according to claim 8, wherein said calculation means calculates a current term charge for the equipment for each charge scheme using various charge scheme data. 10. A means for calculating the next load data from the load data, and using the next load data and other data, data on various devices, and various fee system data, Calculating means for calculating a charge for each model and charge system, and presenting to the customer the charge for the current term and the charge for the next term for the equipment calculated for each model and the charge scheme. Item 10. The optimal device providing system according to Item 9. 11. The system according to claim 7, wherein the calculating unit calculates an added value. 12. The optimal equipment providing system according to claim 7, wherein the equipment is a general equipment, a lease equipment, or the like. 13. A recording medium on which a program for causing a computer to function as the optimal fee providing system according to claim 1 is recorded. 14. A recording medium on which a program for causing a computer to function as the optimal device providing system according to claim 7 is recorded.