JP6829610B2 - Index value estimation device and index value estimation method - Google Patents

Description

The present invention relates to an index value estimation device and an index value estimation method.

Patent Document 1 states, "In the present invention, a creditor or a person entrusted by a creditor installs a management server on a communication network such as the Internet, and is eligible for financing on a monthly or equivalent period basis. The accounting data processed by the company is uploaded so that the creditor and professional accountant (tax accountant, certified accountant, etc.) can continuously monitor it, and the professional accountant entrusted by the creditor or company provides it from the management server. The survey is conducted according to the programmed survey procedure, the survey results are recorded on the management server, and based on the accounting data processed by the company and the survey results, the month or according to the program prepared in advance on the management server. The quality of performance calculated mainly from accounting data is scored (performance score) on a period-by-period basis or business year-by-business basis, and the credibility of accounting calculated mainly from accounting data and the survey results of professional accountants. (Accounting credibility score), or the quality of corporate manager death risk insurance calculated mainly from the survey results of professional accountants (necessary security score), and the degree of credit risk of the company It provides a credit information monitoring and credit risk scoring method characterized by timely and accurate measurement of changes. "

Japanese Unexamined Patent Publication No. 2006-018816

As a credit management business, businesses that provide financial services such as loans and leasing regularly monitor the business conditions (income, expenditure, profits, etc.) of business partners, and when they deteriorate, check the credit limit and credit period. We are taking measures to change.

For example, in project finance, only the profits generated by the project business to be financed and the assets held are collateral, so the good or bad management status of the project business is directly linked to the company's income. Therefore, monitoring the business situation is especially important.

Monitoring of business conditions has the following issues: (a) accurate acquisition of business conditions and (b) immediate acquisition of changes in business conditions.

In response to these issues, in Patent Document 1, the lender's business operator uploads accounting data to the credit information monitoring system on a monthly or equivalent period basis, and the credit information monitoring system uses the accounting. It describes a mechanism that uses data to score the quality of business performance and monitor the degree and change of credit risk.

In order for the lender's business to upload accounting data to the credit information monitoring system according to this system, it is necessary to have the equipment for that purpose. However, for example, there are few small and medium-sized enterprises that own the equipment. Therefore, there are some businesses to which Patent Document 1 cannot be applied.

Therefore, the present invention accurately determines the values of indicators related to business activities such as sales, production volume, and inventory volume of the monitored business operator, and the amount of change thereof, based on information that can be obtained more easily than accounting data. Moreover, a device for instant estimation is provided.

In order to solve the above problems, for example, the configuration described in the claims is adopted. The present invention includes a plurality of means for solving the above problems, for example, based on a data collection unit that collects data on the consumption or use of a utility and data collected by the data collection unit. , The index value estimation unit that estimates and calculates the value of the index related to the business activity of the business operator that consumes or uses the utility, compares the calculation result with the estimated value of the index in the past, and calculates the amount of change. It is characterized by having.

According to the present invention, based on information that can be obtained more easily than accounting data, the values of indicators related to business activities such as sales, production volume, and inventory volume of the monitored business operator and the amount of change thereof are accurately determined. And it becomes possible to estimate immediately.

Issues, configurations and effects other than those described above will be clarified by the following description of the embodiments.

This is an example of a logical configuration diagram of the index value estimation device according to the first embodiment. This is an example of the configuration diagram of the electricity supply route and the installation location of the measuring instrument in the business operator. This is an example of a characteristic diagram showing the flow of data processing results of the index value estimation device. This is an example of an overall configuration diagram of the system according to the first embodiment. This is an example of a configuration diagram of a storage device of an index value estimation device. This is an example of a configuration diagram of a storage device of a utility consumption data management device. This is an example of a table configuration diagram of utility consumption data of the index value estimation device. This is an example of a table configuration diagram of the correlation equipment of the index value estimation device. This is an example of a table configuration diagram of a regression model of an index value estimator. This is an example of a table configuration diagram of past estimation result data of the index value estimation device. This is an example of a flowchart showing the processing of the correlation equipment operation estimation unit. This is an example of a flowchart showing the processing of the correlated operation status extraction unit. This is an example of a flowchart showing the processing of the index value estimation unit. This is a display example of the display screen of the estimation result of the index value estimation unit. This is an example of a logical configuration diagram of the index value estimation device according to the second embodiment. This is an example of a table configuration diagram of utility consumption data of the index value estimation device according to the second embodiment. This is an example of a flowchart showing the processing of the correlation equipment operation estimation unit in the second embodiment. This is an example of an overall configuration diagram of a system showing an application example.

Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings.

(Embodiment 1)
FIG. 1 is an example of a logical configuration diagram of the index value estimation device 1, and the index value estimation device 1 has a correlation equipment identification unit 17, a utility consumption data collection unit 18, a correlation equipment operation estimation unit 19, and a correlation operation. It is composed of a situation extraction unit 20, an index value estimation unit 21, an equipment operation estimation unit 22, a correlation equipment 138, and a regression model 139.

The index value estimation device 1 estimates and calculates the value of an index related to business activities such as sales, production amount, and inventory amount of the business operator, and calculates the amount of change by comparing the calculation result with the estimated value of the index in the past. It is a device. The indicators described below refer to indicators related to the business activities of the business operator, such as sales, production volume, inventory volume, number of complaints, and service churn rate.

The index value estimation device 1 includes industry information of the business operator whose index value is to be estimated, time-series consumption data of utilities such as electricity, gas, and water consumed by the business operator, or cold water used by the business operator. Estimate the value and amount of change of the index related to the business operator by inputting the time-series usage data of utilities such as hot water, steam, and communication (data communication).

The time-series consumption data of the utility is the consumption amount of the utility such as electricity, gas, and water at each time. The consumption amount may be an instantaneous value at the time (for example, kWh in the case of electricity) or an integrated value (for example, kWh in the case of electricity). The time-series usage data of the utility is the usage amount (consumption amount) of the utility such as cold water, hot water, steam, and communication (data communication) at each time.

Further, the consumption amount may be a measured value of the main trunk to which a plurality of facilities are connected, as shown in FIG. 2A. For example, when the business operator has a refrigerator 300, a food processor 302, and an indoor air conditioner 304, and the consumption of each facility is measured by the measuring instrument 308 via the distribution board 306, the measuring instrument 308 is measured. Values can be used. Further, the consumption amount may be a measured value for each equipment as shown in FIG. 2 (b). For example, the equipment of a business operator includes a refrigerator 300, a food processor 302, and an indoor air conditioner 304 as equipment connected to the distribution board 306, and the consumption of each equipment is measuring instruments 310, 312, 314, respectively. When measuring with, the measured values of the measuring instruments 310, 312, 314 can be used. At this time, smart meters, which are becoming widespread in the electric power business, can collect the measured values of the former case. In the following first embodiment, the former case will be described. The latter case will be described in the second embodiment.

The index value estimation device 1 can immediately detect a change in the index value by performing an estimation process each time the utility consumption data is acquired.

Correlation equipment 138 refers to the name of equipment that correlates between the equipment utilization rate and indicators related to business activities such as sales, production volume, and inventory volume for each type of business, and the utility consumed by correlation equipment 138. It is a database that manages information such as the type of operation mode in which there is a correlation between the index and the equipment operation rate in each operation mode among the operation modes of the type and the correlation equipment 138. Correlation equipment 138 is equipment that mainly reflects the business activities (sales, production, inventory, etc.) of the business operator. For example, when the industry is "food manufacturing", the equipment that mainly reflects the production activities is "food". It is a "processing machine", and the type of utility consumed by the equipment is "electricity". In addition, the correlated operation mode is an operation mode that contributes positively or negatively to business activities, and does not correspond to, for example, "standby mode". Details will be described with reference to FIG.

The regression model 139 is a database that manages information such as a formula for calculating the value of an index related to business activity from the operating rate of equipment that mainly reflects the business activity of the business operator. This regression model 139 is a model created by regression analysis from the relationship between the past operation rate and the index value. Details will be described with reference to FIG.

The correlation equipment identification unit 17 inputs the industry information related to the business type of the business operator, and based on the information of the correlation equipment 138, the equipment that mainly reflects the business activity of the business operator that estimates the index value, and the equipment that is consumed. This is a processing unit that specifies the type of utility to be used and the type of operation mode that contributes to business activities among the operation modes of the equipment, and transmits the specified information to the correlation equipment operation estimation unit 19.

The utility consumption data collection unit 18 collects consumption data of a plurality of types of utilities such as electricity, gas, and water consumed by the business operator that estimates the index value, and transmits the collected consumption data to the correlation facility operation estimation unit 19. It is a processing unit.

For example, the utility consumption data collection unit 18 collects consumption data of a plurality of types of utilities as shown in FIG. 3A.

The correlation equipment operation estimation unit 19 mainly reflects the consumption data of a plurality of types of utilities received from the utility consumption data collection unit 18 and the business activities of the business operator that estimates the index value received from the correlation equipment identification unit 17. This is a processing unit that estimates the operating status of the equipment based on the equipment to be used and the type of utility consumed by the equipment, and transmits the estimation result to the correlation operating status extraction unit 20.

This will be described with reference to the example of FIG. The processing of the correlation equipment operation estimation unit 19 corresponds to (b), (c), and (d) of FIG.

First, the correlation equipment operation estimation unit 19 estimates the index value received from the correlation equipment identification unit 17 from the consumption data (FIG. 3A) of the plurality of types of utilities acquired from the utility consumption data collection unit 18. The ones corresponding to the types of utilities consumed by the equipment that mainly reflect the business activities of the business operator are extracted (Fig. 3 (b)).

Then, the correlation equipment operation estimation unit 19 transmits the consumption data of FIG. 3 (b) to the equipment operation estimation unit 22, and as a result, receives the operation status of each equipment that has consumed the utility (FIG. 3 (c). )). The equipment operation estimation unit 22 is a processing unit that estimates the time-series operation status of the equipment that has consumed the utility from the utility consumption data. This processing technique is called disaggregation or NILM (Non-Intrusive Load Monitoring) in the field of electric power, and is described in, for example, Japanese Patent Application Laid-Open No. 2013-213825.

After that, the correlation equipment operation estimation unit 19 corresponds to the equipment that mainly reflects the business activity of the business operator that estimates the index value received from the correlation equipment identification unit 17 from the operation status of each equipment in FIG. 3C. Extract what to do (Fig. 3 (d)). The correlation equipment operation estimation process performed by the correlation equipment operation estimation unit 19 will be described in detail with reference to FIG.

The correlated operation status extraction unit 20 is the type of operation mode that mainly reflects the business activity of the business operator that estimates the index value received from the correlation equipment identification unit 17, and the correlation equipment operation estimation unit 20 that contributes to the business activity of the equipment. From the operating status of the equipment received from 19, the operating status of the equipment that mainly reflects the business activity that contributed to the business activity is extracted (Fig. 3 (e)), and the extraction result is transmitted to the index value estimation unit 21. It is a processing unit.

For example, as shown in FIG. 3 (e), the correlated operation status extraction unit 20 removes the one whose operation mode is “standby” in FIG. 3 (d) because it does not contribute to the business activity. The correlation operation status extraction process performed by the correlation operation status extraction unit 20 will be described in detail with reference to FIG.

The index value estimation unit 21 calculates the operation rate from the operation status of the equipment that mainly reflects the business activity received from the correlation operation status extraction unit 20 and contributes to the business activity, and based on the regression model 139, the index value estimation unit 21 calculates the operation rate. It is a processing unit that calculates the value of the index (index value) as the estimated value of the index. Further, it is a processing unit that calculates a change amount (estimated change amount) by comparing the calculated index value with the estimated value of the index in the past and displays them on the screen to the user. The index value estimation process performed by the index value estimation unit 21 will be described in detail with reference to FIG.

FIG. 4 is an example of an overall configuration diagram of a system according to a mode for carrying out the present invention, and this system is composed of an index value estimation device 1, a utility consumption data management device 2, and a communication path 500. Will be done.

In the example of FIG. 4, the financial service provider 3 that provides financial services such as loans and leasing owns the index value estimation device 1, and the business partner 4 owns the utility consumption data management device 2. is there.

The communication path 500 connects the index value estimation device 1 and the utility consumption data management device 2, and the like. The communication path 500 is a communication path of a standard such as wired communication or wireless communication.

The index value estimation device 1 receives utility consumption data from the utility consumption data management device 2, and determines the value of an index related to business activities such as sales, production amount, and inventory amount of the business operator who owns the utility consumption data management device 2. Estimate calculation is performed, and the amount of change is calculated by comparing this calculation result with the estimated value of the index in the past.

The index value estimation device 1 is composed of at least a CPU 11, a memory 12, a storage device 13, an output device 14, an input device 15, and a communication interface 16. The communication interface 16 is an interface such as a wired LAN card or a wireless LAN card, and communicates with the utility consumption data management device 2 via the communication path 500.

The storage device 13 is, for example, a hard disk, a flash memory, or the like, and is a device that stores information such as programs and data. The data stored in the storage device 13 will be described later.

The output device 14 is, for example, a display device, and displays the value of the index of the business operator who collected the utility consumption data and the result of estimating the amount of change thereof. The output device 24 functions as a display unit that displays information output from the index value estimation unit 21. For example, by displaying the index value estimation result on the display screen 600 of FIG. 14, utility consumption data is displayed to the user. It provides a function to monitor indicators related to business activities of businesses that have acquired the above.

The input device 15 is, for example, a keyboard or a mouse, and the user can input instructions and memos to the contents displayed by the output device 14.

Next, the utility consumption data management device 2 manages the consumption amount of the utility in the business operator who owns the device 2. Further, the consumption amount of the utility is periodically transmitted to the index value estimation device 1.

The utility consumption data management device 2 includes at least a CPU 27, a memory 28, a storage device 23, an output device 24, an input device 25, and a communication interface 26. The communication interface 26 is an interface such as a wired LAN card or a wireless LAN card, and communicates with the index value estimation device 1 via the communication path 500.

The storage device 23 is, for example, a hard disk, a flash memory, or the like, and is a device that stores information such as programs and data.

The output device 24 is, for example, a display device, and displays consumption data of utilities managed by the display device.

The input device 25 is, for example, a measuring instrument for collecting utility consumption data.

FIG. 5 is an example of data stored in the storage device 13 of the index value estimation device 1. The storage device 13 has at least a correlation equipment identification program 131, a utility consumption data collection program 132, a correlation equipment operation estimation program 133, a correlation operation status extraction program 134, an index value estimation program 135, and equipment operation estimation as programs. The program 136 and is stored. The storage device 13 stores at least utility consumption data 137, correlation equipment 138, regression model 139, and past estimation result data 140 as data.

The correlation equipment identification program 131 is read into the memory 12 by the CPU 11 and executed to embody the correlation equipment identification unit 17 (see FIG. 1).

The utility consumption data collection program 132 is read into the memory 12 by the CPU 11 and executed to embody the utility consumption data collection unit 18 (see FIG. 1).

The correlation equipment operation estimation program 133 is read into the memory 12 by the CPU 11 and executed to embody the correlation equipment operation estimation unit 19 (see FIG. 1).

The correlated operation status extraction program 134 is read into the memory 12 by the CPU 11 and executed to embody the correlated operation status extraction unit 20 (see FIG. 1).

The index value estimation program 135 is read into the memory 12 by the CPU 11 and executed to embody the index value estimation unit 21 (see FIG. 1).

The equipment operation estimation program 136 is read into the memory 12 by the CPU 11 and executed to embody the equipment operation estimation unit 22 (see FIG. 1).

FIG. 6 is an example of data stored in the storage device 23 of the utility consumption data management device 2. The storage device 23 stores at least the utility consumption data collection program 231 as a program. The storage device 23 stores at least utility consumption data 232 as data.

FIG. 7 is an example of a table configuration diagram of utility consumption data 137 of the index value estimation device 1. The utility consumption data 137 is a database that manages information on consumption at each time for each utility such as electricity, gas, and water. The information is a collection of utility consumption data collected from each utility consumption data management device 2 by the index value estimation device 1.

The utility consumption data 137 includes at least the utility data management device ID 137a, the utility type 137b, the connection equipment name 137c, the time 137d, and the consumption amount 137e as record fields.

The utility data management device ID 137a stores a number that uniquely identifies the utility data management device 2.

The utility type 137b stores the type of utility consumed by the business operator who owns the device uniquely specified by the utility data management device ID 137a. For example, "electricity", "gas", "water" and the like.

The connection equipment name 137c stores the name of the equipment that consumes the utility of the utility type 137b among the equipment owned by the business operator that owns the device uniquely specified by the utility data management device ID 137a.

The time is stored in the time 137d. In the consumption amount 137e, the equipment of the connection equipment name 137c owned by the business operator who owns the device uniquely specified by the utility data management device ID 137a uses the utility of the utility type 137b at the time of the time 137d. The amount consumed is stored.

The utility consumption data 137 is a collection of data held by the utility consumption data 232 of the storage device 23. The field of the record of the utility consumption data 232 is the same as that of the utility consumption data 137, and the description thereof will be omitted.

FIG. 8 is an example of a table configuration diagram of the correlation equipment 138 of the index value estimation device 1. Correlation equipment 138 refers to the name of equipment that correlates with the equipment utilization rate and indicators related to business activities such as sales, production volume, and inventory volume for each type of business, and the type of utility consumed by the equipment. It is a database that manages information such as the type of operation mode in which there is a correlation between the index and the equipment operation rate in each operation mode among the operation modes of the equipment.

Correlation equipment 138 includes at least industry type 138a, index type 138b, equipment name 138c, consumption utility type 138d, and operation mode 138e as record fields.

In the industry 138a, the industry of the business operator for which the index value is estimated is stored. The index type 138b stores the type of the index to be estimated. The equipment name 138c stores the name of the equipment having a correlation between the index of the index type 138b and the equipment operating rate for the business operator of the industry 138a.

The consumption utility type 138d stores the utility type information consumed by the equipment with the equipment name 138c. The operation mode 138e stores the type of operation mode in which the index of the index type 138b and the equipment operation rate in each operation mode have a correlation among the operation modes of the equipment having the equipment name 138c. ..

FIG. 9 is an example of a table configuration diagram of the regression model 139 of the index value estimation device 1. The regression model 139 is a database that manages information such as a formula for calculating the value of an index related to business activity from the operating rate of equipment that mainly reflects the business activity of the business operator.

The regression model 139 includes at least the utility data management device ID 139a, the index type 139b, and the model formula 139c as the fields of the record.

The utility data management device ID 139a stores a number that uniquely identifies the utility data management device 2.

The index type 139b stores the type of the index to be estimated. The model formula 139c includes a formula for calculating the index value of the index type 139b in the business operator having the utility data management device 2 uniquely specified by the utility data management device ID 139a from the operating rate of the equipment. It is stored.

FIG. 10 is an example of a table configuration diagram of the past estimation result data 140 of the index value estimation device 1. The past estimation result data 140 is a database that manages information such as past estimation results of index values.

The past estimation result data 140 includes at least the utility data management device ID 140a, the date and time 140b, the index type 140c, the estimated value 140d, the equipment name 140e, and the equipment operating rate 140f as record fields. I'm out.

The utility data management device ID 140a stores a number that uniquely identifies the utility data management device 2.

The date and time is stored in the date and time 140b. The index type 140c stores the type of the index to be estimated. The estimated value 140d stores the estimated value of the index of the index type 140c at the date and time of the date and time 140b for the business operator who owns the device uniquely specified by the utility data management device ID 140a.

The equipment name 140e stores the name of the equipment that mainly reflects the activity related to the index of the index type 140c.

The equipment operating rate 140f stores the equipment operating rate used when calculating the estimated value 140d at the date and time of the date and time 140b for the business operator who owns the device uniquely specified by the utility data management device ID 140a. To.

FIG. 11 is a flowchart showing the correlation equipment operation estimation process. In this process, the correlation equipment operation estimation unit 19 receives the consumption data of a plurality of types of utilities received from the utility consumption data collection unit 18, and the business activity in the business operator that estimates the index value received from the correlation equipment identification unit 17. Based on the equipment that mainly reflects the above and the type of utility consumed by the equipment, the operation status of the equipment in time series is estimated, and the estimation result is transmitted to the correlation operation status extraction unit 20. .. The correlation equipment operation estimation unit 19 is embodied by the CPU 11 executing the correlation equipment operation estimation program 133.

In step S1900, the correlation equipment operation estimation unit 19 starts the correlation equipment operation estimation process by receiving consumption data of a plurality of types of utilities from the utility consumption data collection unit 18.

In step S1901, the correlation equipment operation estimation unit 19 acquires the type of utility consumed by the equipment that mainly reflects the business activity from the correlation equipment identification unit 17.

In step S1902, the correlation equipment operation estimation unit 19 extracts the consumption data of the types of utilities acquired in step S1901 from the consumption data of the plurality of types of utilities received in step S1900.

In step S1903, the correlation equipment operation estimation unit 19 transmits the consumption data of the utility extracted in step S1902 to the equipment operation estimation unit 22, and as a result, acquires the operation status of each equipment that has generated the consumption.

In step S1904, the correlation equipment operation estimation unit 19 acquires the name of the equipment that mainly reflects the business activity from the correlation equipment identification unit 17.

In step S1905, the correlation equipment operation estimation unit 19 extracts the equipment acquired in step S1904 from the operation status of each equipment estimated in step S1903.

In step S1906, the correlation equipment operation estimation unit 19 ends the correlation equipment operation estimation process by transmitting the operation status of the equipment extracted in step S1905 to the correlation operation status extraction unit 20.

FIG. 12 is a flowchart showing the correlation operation status extraction process. The processing correlates with the type of operation mode that the correlated operation status extraction unit 20 receives from the correlation equipment identification unit 17 and contributes to the business activity of the equipment that mainly reflects the business activity of the business operator that estimates the index value. From the operation status of the equipment received from the equipment operation estimation unit 19, the operation status of the equipment that mainly reflects the business activity that contributed to the business activity is extracted, and the extraction result is transmitted to the index value estimation unit 21. Is. The correlated operation status extraction unit 20 is embodied by the CPU 11 executing the correlated operation status extraction program 134.

In step S2000, the correlation operation status extraction unit 20 starts the correlation operation status extraction process by receiving the operation status of the equipment that mainly reflects the business activity from the correlation equipment operation estimation unit 19.

In step S2001, the correlation operation status extraction unit 20 acquires the type of operation mode that makes a positive or negative contribution to the business activity from the correlation equipment identification unit 17.

In step S2002, the correlation operation status extraction unit 20 extracts the operation status in the operation mode acquired in step S2001 from the operation status of the equipment received in step S2000.

In step S2003, the correlation operation status extraction unit 20 ends the correlation equipment status extraction process by transmitting the operation status extracted in step S2002 to the index value estimation unit 21.

FIG. 13 is a flowchart showing the index value estimation process. In this process, the index value estimation unit 21 calculates the operation rate from the operation status of the equipment that mainly reflects the business activity received from the correlation operation status extraction unit 20 and contributes to the business activity, and calculates the regression model 139. Based on this, the index value (index value) is calculated. In addition, the amount of change obtained by comparing the calculated index value with the estimated value of the index in the past is calculated and displayed on the screen to the user. The index value estimation unit 21 is embodied by the CPU 11 executing the index value estimation program 135.

In step S2100, the index value estimation unit 21 starts the index value estimation process by receiving from the correlation operation status extraction unit 20 the operation status of the equipment that mainly reflects the business activity and contributes to the business activity.

In step S2101, the index value estimation unit 21 calculates the operation rate in a certain period such as weekly or monthly based on the operation status received in step 2101.

In step S2102, the index value estimation unit 21 estimates the index value by utilizing the calculation formula acquired from the regression model 139 based on the operation rate calculated in step 2102.

In step S2103, the index value estimation unit 21 acquires the past data of the index calculated in step S2102 from the past estimation result data 140. For example, the value of the index in the same period last year and the value of the index in the last few months.

In step S2104, the index value estimation unit 21 calculates the amount of change by comparing the index value calculated in step S2102 with the past estimated value of the index acquired in step S2103.

In step S2105, the index value estimation unit 21 ends the index value estimation process by displaying the index value calculated in step S2102, the change amount calculated in step S2103, and the like on the screen of the user.

The screen displayed to the user is, for example, as shown in FIG. On the display screen 600 of the output device 14, information on the business operator (information including the company name, industry, etc.) 602, information on the index (information including the item, production amount, inventory amount, etc.) 604, and information on utility consumption data (information on utility consumption data). Equipment operation mode information) 606 is displayed, and if the amount of change in the index or the amount of change in the equipment operation rate is larger than the preset threshold, information 608 regarding the warning is displayed to the user. To. It should be noted that the warning may be delivered to the user by push type by e-mail or the like instead of being displayed on the screen. In addition, when the index value deteriorates, it is possible to take measures such as (a) instructing the sales staff to visit the company, the sales staff visiting the company, and (b) raising the loan.

Further, on the display screen 600, not only the estimated index value but also the consumption amount of the utility and the operating status of the equipment, which are the basis of the estimation calculation, can be displayed together. As a result, the user can be given a sense of satisfaction with the estimation result.

In the first embodiment described above, instead of directly estimating the value of the index related to the business activity from the utility consumption data itself, the equipment that mainly reflects the business activity is specified from the utility consumption data and its operation is performed. The part that contributes to the business activity is extracted from the situation, the operation rate is calculated, and the index value is estimated from the operation rate. Therefore, the index value can be estimated with higher accuracy than the former method.

In particular, when the estimated result is compared with the past estimation result as in step S2104, the consumption of other equipment that consumes the utility may differ between the present and the past, so that the former method is used. The accuracy is reduced. An example will be described with reference to FIG. 2 (a). The consumption of indoor air conditioning varies depending on the temperature difference of the year. Therefore, if the index value is estimated from the total consumption data of food processing equipment, indoor air conditioning, and refrigerator, it will be affected by the operation of indoor air conditioning that does not mainly reflect business activities, and the current and past estimated values will be the same under the same conditions. It cannot be compared, and the calculation accuracy of the amount of change decreases. Therefore, in particular, when calculating the amount of change in the index value, the configuration of the first embodiment is useful.

According to the first embodiment, the values of indicators related to business activities such as sales, production volume, and inventory volume of the monitored business operator and their changes are based on information that can be easily obtained rather than accounting data. It is possible to estimate the quantity accurately and instantly.

(Embodiment 2)
In the first embodiment, the consumption data of the utility is the measured value of the main trunk in which a plurality of facilities are connected as shown in FIG. 2 (a), but as shown in FIG. 2 (b), each facility is used. It may be a measured value.

In the second embodiment, a case where the measured value of each equipment is acquired as the consumption data of the utility will be described.

FIG. 15 is an example of a logical configuration diagram of the index value estimation device 1A according to the second embodiment, and the index value estimation device 1A includes a correlation equipment identification unit 17, a utility consumption data collection unit 18A, and a correlation equipment operation estimation unit. It is composed of 19A, a correlation operation status extraction unit 20, an index value estimation unit 21, an equipment operation estimation unit 22, a correlation equipment 138, and a regression model 139.

The utility consumption data collection unit 18A collects the consumption data of utilities such as electricity, gas, and water consumed by each facility owned by the business operator that estimates the index value, and the collected consumption data is used as the correlation facility operation estimation unit 19A. It is a processing unit that sends to.

The collected data is, for example, as shown in FIG. The difference from FIG. 7 is that the connection equipment name 137c is the name of one equipment.

The correlation equipment operation estimation unit 19A mainly reflects the utility consumption data of each equipment received from the utility consumption data collection unit 18A and the business activities of the business operator that estimates the index value received from the correlation equipment identification unit 17. This is a processing unit that estimates the operation status of the equipment based on the equipment to be used and transmits the estimation result to the correlation operation status extraction unit 20.

FIG. 17 is a flowchart showing the correlation equipment operation estimation process in the second embodiment. The process of step S1900 is the same as in FIG.

In step S1901A, the correlation equipment operation estimation unit 19A acquires the name of the equipment that mainly reflects the business activity from the correlation equipment identification unit 17.

In step S1902A, the correlation equipment operation estimation unit 19A extracts the consumption data of the equipment with the name acquired in step S1901A from the utility consumption data of each equipment received in step S1900.

In step S1903A, the correlation equipment operation estimation unit 19A transmits the utility consumption data extracted in step S1902A to the equipment operation status estimation unit 22, and as a result, acquires the operation status of the equipment.

In step S1906A, the correlation equipment operation estimation unit 19A ends the correlation equipment operation estimation process by transmitting the operation status of the equipment extracted in step S1903A to the correlation operation status extraction unit 20.

According to the second embodiment, the same effect as that of the first embodiment can be obtained, and the measured value of each equipment can be used as the consumption data of the utility.

Although the embodiment for carrying out the present invention has been specifically described above, the present invention is not limited to this, and various modifications can be made without departing from the gist thereof.

For example, in FIG. 4, the index value estimation device 1 and the utility consumption data management device 2 are assumed to operate standalone, but a user terminal is prepared and the functions of each device are used via the user terminal. You can also do it.

FIG. 18 is a configuration diagram in which the index value estimation device 1, the utility consumption data management device 2, and the user terminal 9 are connected by a communication path 500. The user terminal 9 includes a CPU 91, a memory 92, a storage device 93, an output device 94, an input device 95, and a communication interface 96. As a result, the user can use the information generated by the index value estimation device 1 from the communication interface 96 of the user terminal 9 via the network 500. Or conversely, information can be transmitted to the index value estimation device 1.

In the example of FIG. 18, the index value estimation service provider 5 that provides the monitoring service of the index related to the business activity such as sales, production amount, and inventory amount owns the index value estimation device 1 and uses the service. The provider 3 has a configuration in which the index value estimation device 1 is accessed from the user terminal 9 owned by the provider 3 and the monitoring service is used.

Further, in the first embodiment, in FIG. 4, the financial service provider 3 that provides financial services such as loans and leases owns the index value estimation device 1, and the business partner 4 owns the utility consumption data. Although the management device 2 is provided, there is also a configuration in which a part of the processing unit of the index value estimation device 1 exists on the business operator side that owns the utility consumption data management device 2.

For example, the correlation equipment identification unit 17 of the index value estimation device 1, the utility consumption data collection unit 18, the correlation equipment operation estimation unit 19, the correlation operation status extraction unit 20, and the equipment operation estimation unit 22 consume utilities. There is also a configuration that exists on the business side that owns the data management device 2. In this configuration, it is not necessary to send the utility consumption data itself to the communication path 500, so that the load on the communication path can be reduced.

Further, in the first and second embodiments, the utility consumption data includes electricity consumption, gas consumption, water consumption, and the like, but not only consumption data but also usage data may be used. For example, the amount of cold water, hot water, or steam used by the heat supply company using a district heating / cooling system or the like may be used. Further, the amount of data communication of a communication network such as a fixed telephone, a mobile phone, and an optical communication may be used.

Further, in the above-described first and second embodiments, the sales amount, the production amount, and the inventory amount are increased as indicators related to the business activity, but the number of complaints, the service churn rate, and the like may also be used.

The number of complaints and the service cancellation rate can be estimated from, for example, the number of incoming calls to the inquiry number or cancellation reception number.

Further, in the first embodiment, in FIG. 13, the index value estimation unit 21 calculates the operation rate from the operation status of the equipment that mainly reflects the business activity and contributes to the business activity, and calculates the operation rate of the regression model 139. The value of the index was calculated based on the information, but the time zone to be operated is defined as master information in advance, and the quality of the index is determined by whether or not the operating status satisfies the condition. You can also judge.

For example, in a "restaurant", the equipment that mainly reflects the business activity is the "gas stand", but in the "business hours", which is the time zone when it should be operated, the "business activity" acquired by the index value estimation unit 21 If the "operating status of the equipment that mainly reflects that contributed to the business activity" is not operating, it means that the business activity is not working well.

Further, in the first embodiment, the regression model 139 of FIG. 1 is a model created in advance by regression analysis from the relationship between the past operation rate and the index value, but the index value estimation device 1 It is also possible to acquire the actual value of the estimated index and the actual value of the equipment operation rate, and update the model regularly.

Further, in the first embodiment, the correlation equipment 138 in FIG. 1 has a correlation between the index related to business activities such as sales, production amount, and inventory amount and the equipment operation rate for each type of business of the business operator. The name of the equipment, the type of utility consumed by the equipment, and the type of operation mode in which there is a correlation between the index and the equipment operation rate in each operation mode among the operation modes of the equipment, etc. The information of is defined in advance, but the correlation coefficient is calculated periodically based on the actual value of the index estimated by the index value estimation device 1 and the actual value of the equipment operation rate, and the correlation is low. In that case, the content of the correlation equipment 138 can be updated to the information of another equipment having a high correlation.

Further, in the above-described first and second embodiments, only the consumption data of the utility is used, but other data such as the detection data of the motion sensor and the weather data may be combined with the consumption data.

In addition, the following can be seen from the consumption data of the utility.
(A) Equipment usage (if there is a pulse waveform in the utility consumption data, the equipment is roughly started up, etc.)
(B) Organizational culture and culture (lights are detected from utility consumption data. Companies that turn off frequently are a regular and good culture, etc.)
As the application destination of (a), for example, it can be used to determine what kind of person the leasing company is using while renting the leased product.
As the utilization destination of (b), for example, it can be utilized as one of the evaluation axes when evaluating the credit of the entire company in the credit examination.

17 Correlation equipment identification unit, 18, 18A Utility consumption data collection unit, 19, 19A Correlation equipment operation estimation unit, 20 Correlation operation status extraction unit, 21 Index value estimation unit, 22 Equipment operation estimation unit, 138 Correlation equipment, 139 regression model

Claims (18)

A data collection department that collects data on utility consumption or use,
Based on the industry information related to the type of business of the business operator that consumes or uses the utility, information that at least specifies the type of equipment that mainly reflects the business activity of the business operator and the type of the utility is taken as input information, and the data The data collected by the collecting unit, which is specified by the input information based on the data related to the consumption or use of the utility specified by the input information among the data related to the consumption or use of the plurality of types of the utility. Correlation equipment operation estimation unit that estimates the time-series operation status of equipment that mainly reflects the business activities of the operator,
Based on the estimation result of the correlated equipment operation estimation unit, the value of a specific index associated with the equipment specified by the input information, which is an index related to the business activity of the business operator who consumes or uses the utility. estimated calculation, possess the index value estimating section for calculating the amount of change by comparing the estimated value of the index in the result and past the estimating calculation, a,
The specific index
It is composed of at least one of sales, production, inventory, number of complaints, and service churn rate in the business activities of the business operator.
Data on the consumption of the utility
It consists of time-series consumption data showing the consumption of electricity, the consumption of gas, and the consumption of at least one of the consumption of water.
Data on the use of the utility
It consists of time-series usage data showing the usage of cold water, hot water, steam, and at least one of communication usage.
The index value estimation unit
Based on the estimation result of the correlated equipment operation estimation unit, the operation rate of the equipment that mainly reflects the business activity of the business operator is calculated, and the past operation rate and the value of the index in the past are regressed and analyzed in advance. An index value estimation device characterized in that the value of the specific index is calculated by utilizing the created model . A data collection department that collects data on utility consumption or use,
Based on the industry information related to the type of business of the business operator that consumes or uses the utility, information that at least specifies the type of equipment that mainly reflects the business activity of the business operator and the type of the utility is taken as input information, and the data The data collected by the collecting unit, which is specified by the input information based on the data related to the consumption or use of the utility specified by the input information among the data related to the consumption or use of the plurality of types of the utility. Correlation equipment operation estimation unit that estimates the time-series operation status of equipment that mainly reflects the business activities of the operator,
Based on the estimation result of the correlated equipment operation estimation unit, the value of a specific index associated with the equipment specified by the input information, which is an index related to the business activity of the business operator who consumes or uses the utility. It has an index value estimation unit that performs estimation calculation, compares the result of the estimation calculation with the estimated value of the index in the past, and calculates the amount of change.
The specific index
It is composed of at least one of sales, production, inventory, number of complaints, and service churn rate in the business activities of the business operator.
Data on the consumption of the utility
It consists of time-series consumption data showing the consumption of electricity, the consumption of gas, and the consumption of at least one of the consumption of water.
Data on the use of the utility
It consists of time-series usage data showing the usage of cold water, hot water, steam, and at least one of communication usage.
The index value estimation unit
Based on the estimation result of the correlation equipment operation estimation unit, the operation status of the equipment that mainly reflects the business activity of the business operator is compared with the operation rule defined in advance, and the business activity of the business operator is mainly performed. operating conditions of the equipment to be reflected in the said at whether they meet the operating rules, the particular good to determine the bad indicators value estimating device said indicator. A data collection department that collects data on utility consumption or use,
Based on the industry information related to the type of business of the business operator who consumes or uses the utility, the type of equipment that mainly reflects the business activity of the business operator is referred to by referring to the equipment information managed for each business type of the business operator. The utility specified by the input information among the data related to the consumption or use of the plurality of types of the utility, which is the data collected by the data collection unit by taking in the information for specifying at least the type of the utility as the input information. Correlation equipment operation estimation unit that estimates the time-series operation status of the equipment that mainly reflects the business activities of the business operator, which is the equipment specified by the input information based on the data related to the consumption or use of
Based on the estimation result of the correlated equipment operation estimation unit, the value of a specific index associated with the equipment specified by the input information, which is an index related to the business activity of the business operator who consumes or uses the utility. It has an index value estimation unit that performs estimation calculation, compares the result of the estimation calculation with the estimated value of the index in the past, and calculates the amount of change.
The specific index
It is composed of at least one of sales, production, inventory, number of complaints, and service churn rate in the business activities of the business operator.
Data on the consumption of the utility
It consists of time-series consumption data showing the consumption of electricity, the consumption of gas, and the consumption of at least one of the consumption of water.
Data on the use of the utility
It consists of time-series usage data showing the usage of cold water, hot water, steam, and at least one of communication usage.
The index value estimation unit
Based on the estimation result of the correlated equipment operation estimation unit, the operation rate of the equipment that mainly reflects the business activity of the business operator is calculated, and the past operation rate and the value of the index in the past are regressed and analyzed in advance. by utilizing models created, the specific indicators value estimation apparatus you and calculating the value of the index. A data collection department that collects data on utility consumption or use,
Based on the industry information related to the type of business of the business operator who consumes or uses the utility, the type of equipment that mainly reflects the business activity of the business operator is referred to by referring to the equipment information managed for each business type of the business operator. The utility specified by the input information among the data related to the consumption or use of the plurality of types of the utility, which is the data collected by the data collection unit by taking in the information for specifying at least the type of the utility as the input information. a consumer or the equipment specified by the input information data based on the on the use of, and the correlation capacity utilization estimating unit for estimating the operating condition of the time series of equipment that mainly reflect the business activities before article skill,
Based on the estimation result of the correlated equipment operation estimation unit, the value of a specific index associated with the equipment specified by the input information, which is an index related to the business activity of the business operator who consumes or uses the utility. It has an index value estimation unit that performs estimation calculation, compares the result of the estimation calculation with the estimated value of the index in the past, and calculates the amount of change .
The specific index
It is composed of at least one of sales, production, inventory, number of complaints, and service churn rate in the business activities of the business operator.
Data on the consumption of the utility
It consists of time-series consumption data showing the consumption of electricity, the consumption of gas, and the consumption of at least one of the consumption of water.
Data on the use of the utility
It consists of time-series usage data showing the usage of cold water, hot water, steam, and at least one of communication usage.
The index value estimation unit
Based on the estimation result of the correlation equipment operation estimation unit, the operation status of the equipment that mainly reflects the business activity of the business operator is compared with the operation rule defined in advance, and the business activity of the business operator is mainly performed. operating conditions of the equipment to be reflected in the said at whether they meet the operating rules, the particular good to determine the bad indicators value estimating device said indicator. From the estimation results of the correlated equipment operation estimation unit, provided that the type of operation mode of the equipment that contributed to the business activity is specified from the equipment that mainly reflects the business activity of the business operator from the input information. , It has a correlated operation status extraction unit that extracts the time-series operating status of the equipment specified by the input information and contributed to the business activities of the business operator .
The index value estimation unit
The operation rate of the equipment is calculated from the time-series operation status of the equipment that contributed to the business activity among the equipment that mainly reflects the business activity of the business operator, which is the extraction result of the correlation operation status extraction unit. Any one of claims 1 to 4, which is characterized in that the value of the specific index is calculated by utilizing a model created in advance by performing regression analysis on the operating rate of the above index and the value of the index in the past. index value estimating device according to. From the estimation results of the correlated equipment operation estimation unit , provided that the type of operation mode of the equipment that contributed to the business activity is specified from the equipment that mainly reflects the business activity of the business operator from the input information. , It has a correlated operation status extraction unit that extracts the time-series operating status of the equipment specified by the input information and contributed to the business activities of the business operator.
The index value estimation unit
Compare the time-series operating status of the equipment that contributed to the business activity among the equipment that mainly reflects the business activity of the business operator and the operating rule defined in advance, which is the extraction result of the correlated operating status extraction unit. Of claims 1 to 4 , the quality of the specific index is determined based on whether or not the operating status of the equipment that has contributed to the business activities of the business operator satisfies the operating rules. The index value estimation device according to any one of the items . It further has a display unit that displays information on the screen by the output of the index value estimation unit.
The display unit
As the calculation result of the index value estimation unit, the amount of change of the index indicating the comparison result between the estimated value of the index which is the value of the specific index and the estimated value of the index and the estimated value of the index in the past is displayed. The index value estimation device according to any one of claims 1 to 4 , characterized in that. The display unit
Information that is the basis of the estimation calculation of the index value estimation unit, displays information on the consumption or usage of the utility, and information on the operation status of the equipment based on the estimation result of the correlation equipment operation estimation unit. The index value estimation device according to claim 7 , wherein time-series information indicating whether or not the equipment is in operation is displayed. The index value estimation unit
The seventh aspect of the present invention is characterized in that when the amount of change of the specific index is larger than the threshold value, the information on the warning is displayed on the display unit and the information on the warning is delivered to the user terminal by push type. The index value estimation device described. Data collection steps to collect data about utility consumption or use,
Based on the industry information related to the type of business of the business operator that consumes or uses the utility, information that at least specifies the type of equipment that mainly reflects the business activity of the business operator and the type of the utility is taken as input information, and the data The data collected by the collection step, which is specified by the input information based on the data related to the consumption or use of the utility specified by the input information among the data related to the consumption or use of the utility of a plurality of types. Correlation equipment operation estimation step that estimates the time-series operation status of equipment that mainly reflects the business activities of the operator, and
Based on the estimation result of the correlated equipment operation estimation step, the value of the specific index associated with the equipment specified by the input information, which is an index related to the business activity of the business operator who consumes or uses the utility. estimated calculation, possess the index value estimation step of calculating the amount of change by comparing the estimated value of the index in the result and past the estimating calculation, a,
The specific index
It is composed of at least one of sales, production, inventory, number of complaints, and service churn rate in the business activities of the business operator.
Data on the consumption of the utility
It consists of time-series consumption data showing the consumption of electricity, the consumption of gas, and the consumption of at least one of the consumption of water.
Data on the use of the utility
It consists of time-series usage data showing the usage of cold water, hot water, steam, and at least one of communication usage.
In the index value estimation step,
Based on the estimation result of the correlated equipment operation estimation step, the operation rate of the equipment that mainly reflects the business activity of the business operator is calculated, and the past operation rate and the value of the index in the past are regressed and analyzed in advance. An index value estimation method characterized in that the value of the specific index is calculated by utilizing the created model . Data collection steps to collect data about utility consumption or use,
Based on the industry information related to the type of business of the business operator that consumes or uses the utility, information that at least specifies the type of equipment that mainly reflects the business activity of the business operator and the type of the utility is taken as input information, and the data The data collected by the collection step, which is specified by the input information based on the data related to the consumption or use of the utility specified by the input information among the data related to the consumption or use of the utility of a plurality of types. a facility, and the correlation equipment operation estimation step of estimating the operating status of the time series of equipment that mainly reflects the business activities of the previous article of skill in the art,
Based on the estimation result of the correlated equipment operation estimation step, the value of the specific index associated with the equipment specified by the input information, which is an index related to the business activity of the business operator who consumes or uses the utility. It has an index value estimation step of performing an estimation calculation, comparing the result of the estimation calculation with the estimated value of the index in the past, and calculating the amount of change .
The specific index
It is composed of at least one of sales, production, inventory, number of complaints, and service churn rate in the business activities of the business operator.
Data on the consumption of the utility
It consists of time-series consumption data showing the consumption of electricity, the consumption of gas, and the consumption of at least one of the consumption of water.
Data on the use of the utility
It consists of time-series usage data showing the usage of cold water, hot water, steam, and at least one of communication usage.
In the index value estimation step,
Based on the estimation result of the correlation equipment operation estimation step, the operation status of the equipment that mainly reflects the business activity of the business operator is compared with the operation rule defined in advance, and the business activity of the business operator is mainly performed. operating conditions of the equipment to be reflected in the in whether they meet the operating rules, indicators value estimating how to, characterized in that to determine the good or bad of the specific indication. Data collection steps to collect data about utility consumption or use,
Based on the industry information related to the type of business of the business operator who consumes or uses the utility, the type of equipment that mainly reflects the business activity of the business operator is referred to by referring to the equipment information managed for each business type of the business operator. The utility specified by the input information among the data related to the consumption or use of the plurality of types of the utility, which is the data collected by the data collection step by taking in the information for specifying at least the type of the utility as the input information. Correlation equipment operation estimation step for estimating the time-series operation status of the equipment specified by the input information based on the data related to the consumption or use of the equipment and mainly reflecting the business activity of the business operator .
Based on the estimation result of the correlated equipment operation estimation step, the value of the specific index associated with the equipment specified by the input information, which is an index related to the business activity of the business operator who consumes or uses the utility. estimated calculation, possess the index value estimation step of calculating the amount of change by comparing the estimated value of the index in the result and past the estimating calculation, a,
The specific index
It is composed of at least one of sales, production, inventory, number of complaints, and service churn rate in the business activities of the business operator.
Data on the consumption of the utility
It consists of time-series consumption data showing the consumption of electricity, the consumption of gas, and the consumption of at least one of the consumption of water.
Data on the use of the utility
It consists of time-series usage data showing the usage of cold water, hot water, steam, and at least one of communication usage.
In the index value estimation step,
Based on the estimation result of the correlated equipment operation estimation step , the operation rate of the equipment that mainly reflects the business activity of the business operator is calculated, and the past operation rate and the value of the index in the past are regressed and analyzed in advance. by utilizing models created, indicators value estimating how to and calculating the value of the specific indication. Data collection steps to collect data about utility consumption or use,
Based on the industry information related to the type of business of the business operator who consumes or uses the utility, the type of equipment that mainly reflects the business activity of the business operator is referred to by referring to the equipment information managed for each business type of the business operator. The utility specified by the input information among the data related to the consumption or use of the plurality of types of the utility, which is the data collected by the data collection step by taking in the information for specifying at least the type of the utility as the input information. Correlation equipment operation estimation step for estimating the time-series operation status of the equipment specified by the input information based on the data related to the consumption or use of the equipment and mainly reflecting the business activity of the business operator.
Based on the estimation result of the correlated equipment operation estimation step, the value of the specific index associated with the equipment specified by the input information, which is an index related to the business activity of the business operator who consumes or uses the utility. It has an index value estimation step of performing an estimation calculation, comparing the result of the estimation calculation with the estimated value of the index in the past, and calculating the amount of change .
The specific index
It is composed of at least one of sales, production, inventory, number of complaints, and service churn rate in the business activities of the business operator.
Data on the consumption of the utility
It consists of time-series consumption data showing the consumption of electricity, the consumption of gas, and the consumption of at least one of the consumption of water.
Data on the use of the utility
It consists of time-series usage data showing the usage of cold water, hot water, steam, and at least one of communication usage.
In the index value estimation step,
Based on the estimation result of the correlation equipment operation estimation step, the operation status of the equipment that mainly reflects the business activity of the business operator is compared with the operation rule defined in advance, and the business activity of the business operator is mainly performed. operating conditions of the equipment to be reflected in the in whether they meet the operating rules, indicators value estimating how to, characterized in that to determine the good or bad of the specific indication. From the estimation results of the correlated equipment operation estimation step, provided that the type of operation mode of the equipment that contributed to the business activity is specified from the equipment that mainly reflects the business activity of the business operator from the input information. , It has a correlated operation status extraction step to extract the time-series operation status of the equipment specified by the input information and contributed to the business activity of the business operator.
In the index value estimation step,
The operation rate of the equipment is calculated from the time-series operation status of the equipment that contributed to the business activity among the equipment that mainly reflects the business activity of the business operator, which is the extraction result of the correlation operation status extraction step. Any one of claims 10 to 13, characterized in that the value of the specific index is calculated by utilizing a model created in advance by performing regression analysis on the operating rate of the above index and the value of the index in the past. The index value estimation method described in. From the estimation results of the correlated equipment operation estimation step, provided that the type of operation mode of the equipment that contributed to the business activity is specified from the equipment that mainly reflects the business activity of the business operator from the input information. , It has a correlated operation status extraction step to extract the time-series operation status of the equipment specified by the input information and contributed to the business activity of the business operator.
In the index value estimation step,
Compare the time-series operation status of the equipment that contributed to the business activity among the equipment that mainly reflects the business activity of the business operator and the operation rule defined in advance, which is the extraction result of the correlation operation status extraction step. According to claims 10 to 13, the quality of the specific index is determined based on whether or not the operating status of the equipment that has contributed to the business activity of the business operator satisfies the operating rule. The index value estimation method according to any one of the items. It further has a display step for displaying information on the screen by the output of the index value estimation step.
In the display step,
As the calculation result of the index value estimation step, the amount of change in the index indicating the comparison result between the estimated value of the index, which is the value of the specific index, and the estimated value of the index and the estimated value of the specific index in the past. The index value estimation method according to any one of claims 10 to 13, wherein the index value is displayed. In the display step,
Information that is the basis of the estimation calculation of the index value estimation step, displays information on the consumption amount or usage amount of the utility, and information on the operation status of the equipment based on the estimation result of the correlation equipment operation estimation step. The index value estimation method according to claim 16, wherein time-series information indicating whether or not the equipment is in operation is displayed. In the index value estimation step,
Claim 16 is characterized in that when the amount of change of the specific index is larger than the threshold value, the information related to the warning is displayed in the display step and the information related to the warning is delivered to the user terminal by push type. Described index value estimation method.

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