WO2020153439A1

WO2020153439A1 - Business continuity rating system

Info

Publication number: WO2020153439A1
Application number: PCT/JP2020/002381
Authority: WO
Inventors: 英一馬本
Original assignee: 日本テクノ株式会社
Priority date: 2019-01-25
Filing date: 2020-01-23
Publication date: 2020-07-30
Also published as: JP6772400B1; JPWO2020153439A1; TW202036435A

Abstract

[Problem] To provide a business continuity rating system with which it is possible to determine business continuity in real time by analyzing in real time whether or not the business of an enterprise is on an upward trend. [Solution] Provided is a business continuity rating system for holding a rating rule for performing rating on the basis of energy consumption information that pertains to the energy consumption needed for doing business, acquiring energy consumption information in business units, and rating business continuity for each business on the basis of the acquired energy consumption information and the rating rule that is held.

Description

Business continuity rating system

The present invention relates to a system for rating the business continuity of a company.

Business continuity is an important factor when financial institutions make loans (including loan contracts) and when they conclude credit contracts.

Such business continuity is not limited to so-called credit information such as loan repayment status (including loans) and credit payment repayment status, as well as production volume (sales) information held by research companies and business partners. It was decided by comprehensively considering information and customer information.

Patent Document 1 is an example of an invention relating to the determination of business continuity.

Japanese Patent Application 2003-216804

Patent Document 1 uses a statistical model based on qualitative data to calculate bankruptcy probability prediction data based on survey report data of companies and the like without using financial data such as financial statements. It is a bankruptcy probability prediction system that can update data.

However, although this Patent Document 1 guides business continuity based on the survey report data, the survey report itself has little evidence, and it is difficult for companies to fake it. There was nothing.

If so, the credibility of the business continuity judgment itself was uncertain.

The present invention intends to provide a business continuity rating system capable of judging business continuity based on highly reliable data in view of such problems.

Specifically, the present invention holds rating rules for rating business continuity of businesses that consume energy based on energy consumption information, which is information about energy consumption for conducting businesses. The rating rule holding unit, the energy consumption information acquisition unit that acquires energy consumption information for each business unit, and the business continuity rating for each business based on the acquired energy consumption information and the held rating rules Provide a business continuity rating system having a rating department.

In addition to the above characteristics, the present invention provides that the energy consumption information acquisition unit uses, as energy consumption information, power consumption information, gas consumption information, oil consumption information, water consumption information, coal consumption information, hydrogen consumption information, energy consumption. To provide a business continuity rating system having an individual acquisition means for acquiring any one or more of the chemical consumption information used for.

Further, in addition to the above features, the present invention provides that the rating rule holding unit holds, as a rating rule, a consumption trend determination rule that holds a consumption trend determination rule for performing a rating based on whether the energy consumption of the same business has a downward trend. Provide a business continuity rating system having rule holding means.

Further, in addition to the above features, the rating rule holding unit holds a consumption energy threshold value judgment rule for performing rating based on a comparison between energy consumption in a predetermined period of time for the same business and a set threshold value. There is provided a business continuity rating system as described above, which has a consumption energy threshold value judgment rule holding means.

Further, in the present invention, in addition to the above characteristics, the rating rule holding unit performs rating based on a comparison between an energy consumption history of a predetermined period for the same business and a set standard energy consumption history as a rating rule. (EN) Provided is a business continuity rating system having an energy consumption history judgment rule holding means for holding an energy history judgment rule.

Further, in the present invention, in addition to the above characteristics, the rating rule holding unit performs rating based on a rating rule based on a comparison between an energy consumption productivity index for the same business and a standard energy consumption productivity index set. There is provided a business continuity rating system having means for holding an energy consumption productivity index for energy consumption determination rule holding means for holding an energy consumption productivity index for energy consumption determination rule.

Based on the above, we intend to provide a business continuity rating system that can judge business continuity based on highly credible data.

The figure which shows the functional structure of the business continuity rating system in Embodiment 1. The figure which shows the hardware constitutions of the business continuity rating system in Embodiment 1. The figure which shows the flow of a process at the time of using the business continuity rating system in Embodiment 1. The figure which shows the functional structure of the business continuity rating system in Embodiment 2. The figure which shows the hardware constitutions of the business continuity rating system in Embodiment 2. The figure which shows the flow of a process at the time of using the business continuity rating system in Embodiment 2. The figure which shows the functional structure of the business continuity rating system in Embodiment 3. The figure which shows the hardware constitutions of the business continuity rating system in Embodiment 3. The figure which shows the flow of a process at the time of using the business continuity rating system in Embodiment 3. The figure which shows the functional structure of the business continuity rating system in Embodiment 4. The figure which shows the hardware constitutions of the business continuity rating system in Embodiment 4. The figure which shows the flow of a process at the time of using the business continuity rating system in Embodiment 4. The figure which shows the functional structure of the business continuity rating system in Embodiment 5. The figure which shows the hardware constitutions of the business continuity rating system in Embodiment 5. The figure which shows the flow of a process at the time of using the business continuity rating system in Embodiment 5. The figure which shows the functional structure of the business continuity rating system in Embodiment 6. The figure which shows the hardware constitutions of the business continuity rating system in Embodiment 6. The figure which shows the flow of a process at the time of using the business continuity rating system in Embodiment 6. The figure which shows the functional structure of the business continuity rating system in Embodiment 7. The figure which shows the hardware constitutions of the business continuity rating system in Embodiment 7. The figure which shows the flow of a process at the time of using the business continuity rating system in Embodiment 7. The figure which shows an example of the result calculated|required by the business continuity rating system of this invention. Figure showing the overall image of the present invention FIG. 23 is a diagram showing the information processing contents in the in-house equipment in FIG. Diagram showing an example of rating rules Diagram showing an example of energy consumption information Diagram showing an example of the contents of the rating result The figure which shows the whole picture of this execution form Diagram showing an example of an uptrend of the consumption trend judgment rule The figure which shows an example of the downtrend of the consumption trend judgment rule The figure which shows the flow regarding the consumption trend judgment rule in order to judge the consumption trend The figure which shows an example of the consumption energy threshold value judgment rule in this embodiment. The figure which shows an example of the consumption energy history judgment rule The figure which shows the degree of separation from the set standard energy consumption in a four-stage table Diagram showing bankruptcy probability distribution when rating is performed as shown in FIG. Diagram showing productivity map when productivity is plotted on the vertical axis and energy consumption is plotted on the horizontal axis The figure which shows the judgment method and the judgment result in the consumption stability continuity judgment rule holding means in this embodiment. Diagram showing an example of fluctuations in rating variables Figure that summarizes Figure 38 more conceptually Diagram when calculating rating variables based on the same month last year Diagram showing actual ratings using rating variables The figure which shows the details of the rating in Figure 41 The figure which shows an example in case a rating part has a multiple rule use rating means and a weighted calculation means. The figure which shows an example in case a rating part has a weight control rule holding means, a weight control rule holding means, a business continuity evaluation result acquisition means, and a weight control rule correction means. The figure which shows an example of "the business continuity evaluation result based on the business record of the company A" in FIG.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. The mutual relationship between the embodiment and the claims is as follows. Mainly, the description of the first embodiment relates to

claims

1, 8 and 9, 12, 15, 15 and 18, the description of the second embodiment relates to claim 2, and the description of the third embodiment relates to claim 3. The description of the form 4 relates to claim 4, the description of the embodiment 5 relates to claim 5, the description of the embodiment 6 relates to claim 6, and the embodiment 7 relates to claim 7. The present invention should not be limited to these embodiments, and may be implemented in various modes without departing from the gist thereof.

FIG. 22 is a diagram showing an example of results obtained by the business continuity rating system of the present invention. Although it is not limited to this as an example, in FIG. 22, from the track record of energy consumption for each industry, such as “auto parts manufacturer”, “restaurant chain”, “pharmacy chain”, and “garment manufacturer”, The number of "☆" shows the result of rating. The larger the number of "☆", the higher the business continuity. For example, with respect to “automobile manufacturer”, the rating result is that Company A has 3 “☆”, Company B has 2 “☆”, and Company C has 1 “☆”. Regarding the “restaurant chain”, the rating result is “3” for Company D, “2” for Company E, and “1” for Company F. As for the “garment maker”, the rating result is 3 for G, 3 for H, 2 for H, and 1 for Company I. Regarding the “pharmacy chain”, the rating result is that Company J has two “☆”, Company K has one “☆”, and Company L has one “☆”.

FIG. 23 is a diagram showing an overview of the present invention. As shown in FIG. 23, energy consumption information of companies A, B, and C is transmitted to the business continuity rating system, and the information acquired by the business continuity rating system is originally retained. Ratings are made based on the rating rules in place, and the rating results are output.

FIG. 24 is a diagram showing the information processing content in the in-house facility A in FIG. In the in-house facility, the power consumption acquisition unit acquires power consumption information and associates the power consumption information with the time information in the clock unit to hold the power consumption history holding unit. The power consumption history information and the A company ID for specifying the A company (a holding unit for holding the A company ID may be provided. In FIG. 24, an example of having the A company ID holding unit is shown. , And output to the business continuity rating system of the present invention. In the business continuity rating system, each acquired information is rated based on the rating rule originally held, and the rating result is output.

Embodiment 1

<First Embodiment: Mainly Corresponding to Claims 1 to 7 and

Claims

11, 14, and 17>
The present embodiment holds a rating rule for performing a rating on the business continuity of a business that consumes energy based on energy consumption information that is information on energy consumption for performing a business, and the energy is calculated on a business unit basis. It is a business continuity rating system that obtains consumption information and rates the business continuity for each business based on the acquired energy consumption information and the rating rules that are held.

The functional configuration, hardware configuration, and processing flow of the business continuity rating system according to this embodiment will be described below in order.

<Embodiment 1: Functional configuration>
FIG. 1 is a diagram showing a functional configuration of a business continuity rating system according to this embodiment. The business continuity rating system in this embodiment includes a rating rule holding unit (0101), an energy consumption information acquisition unit (0102), and a rating unit (0103). Hereinafter, regarding the functional configuration, the content of each function will be specifically described.

<Embodiment 1: Description of each function>
<Embodiment 1; Description of each function: Rating rule holding unit>
<Embodiment 1; Description of each function: Rating rule holding unit: Rating rule>
“Rating rule holding unit” holds a rating rule for rating business continuity of a business that consumes energy based on energy consumption information that is information on energy consumption for conducting business. Have a function. It is desirable that the rating rules be learned through functions such as AI to improve the rating accuracy. “Rating rules” are rules for rating each business among multiple businesses of the same type, and in the initial stage, the consumption trend of energy consumption per unit business scale of businesses of the same type, consumption propensity, etc. It is created empirically based on the average amount of consumption and the default of the business (business closure, business interruption, bankruptcy, liquidation, bankruptcy, default, etc.). Then, the rating rule created in the early stage is revised and brushed up based on the circumstances such as the default of the business entity that conducts the same business thereafter and the specific energy consumption tendency of the business entity. It should be noted that the same type of business may be a large category such as "food and beverage business", "transportation business", "manufacturing industry", "service business", but more specifically "food and beverage business", "rice bowl chain""Italianrestaurant""Familyrestaurant""Chinese restaurant, Chinese restaurant chain""Chuka soba shop, Chinese soba chain""Takeaway lunch box""Ramen shop, Ramen chain""Sweetshop""Undoya, Udon shop chain""Gyozashop" , Gyoza restaurant chain, “Sushi restaurant, Zushi restaurant chain”, “Steak restaurant, Steak restaurant chain”, “Curry restaurant, Curry restaurant chain”, etc. The finer the range, the better the rating accuracy.

<<Embodiment 1; Description of each function: Rating rule holding unit: Business continuity>>
In a broad sense, “business continuity” is an attribute that indicates whether or not the business can be continued, and indicates business continuity for reasons other than the intention of the business entity. The most typical factors that affect business continuity are the deterioration of profits to be earned by the business, the increase in general and administrative expenses spent on the business, the decrease in demand for the business, the difficulty of business continuation due to lack of manpower, and the aging of the population. It can be mentioned that business continuity is difficult due to, and business continuity is difficult due to lack of materials. Globally, Standard and Poor's and other companies rate companies, but this is based on the possibility of default and can be said to be information similar to the judgment of business continuity. It can be said that the rating of the business continuity in the present invention also indicates the probability of occurrence of default.

<<Embodiment 1; Description of each function: Rating rule holding unit: Holding update>>
As described above, the rating rules are individually and specifically recorded in the holding unit according to each business and updated for each business. The full-scale rating rule holding unit may have rating rule updating means for updating the rating rule. The rating rule updating means, for example, when the arithmetic expression of the rating rule is an arithmetic expression whose input is energy consumption and is an equation for substituting a coefficient or a variable other than energy consumption, the coefficient or the coefficient is used. By changing the variable that is.

FIG. 25 is a diagram showing an example of rating rules. In a graph in which the horizontal axis represents the sales amount and the vertical axis represents the energy consumption, for example, assuming that the energy consumption amount of the restaurant chain in July 2021 has the distribution shown in the graph of FIG. 25, Company D, Company E, An example of rating company F will be described. The average value of the whole is an arrow, "D" is company D, "E" is company E, and "F" is company F. Company D, which is “D”, is located above the arrow, and therefore consumes a large amount of energy relative to sales. In this case, it is judged that the profit is sufficient for the sales. Company E, which is “E”, is located below the arrow, and therefore consumes less energy for its sales. In this case, it is judged that the profit is small relative to the sales amount. Company F, which is “F”, is located considerably below the arrow, and therefore consumes very little energy, despite its sales. In this case, it is judged that the profit is very small relative to the sales amount. As described above, the present invention estimates the profit and ranks the business continuity based on the tendency of energy consumption. You may have the required information acquisition part which acquires the information required in order to make a rating like the above-mentioned "sales". Information used in addition to sales amount includes "sales amount", "purchased material amount, raw material amount", "waste amount", "number of employees and other workers", "floor area", "number of seats", "chain stores", etc. In this case, the number of stores, the amount of capital, the market capitalization of a company or business, the number of years since the company was founded, the amount of lighting, and the number of visitors to restaurants and retail stores can be mentioned. These pieces of information can only be compared between businesses that carry out similar businesses. These are factors that represent the scale of business, and by comparing the energy consumption per unit business scale between similar companies, it is possible to rate the business continuity of each company. In the case of the above example, the best rating among the three companies is "Company D", for example, "AA" with a cow attached, and a little worse, "Company E", for example, "A" is the worst rating. Is rated as “BB” as a rating of “Company F” (for example, similar to S&P rating).
<Embodiment 1; Description of each function: Energy consumption information acquisition unit>

The “energy consumption information acquisition unit” has a function of acquiring energy consumption information for each business unit.

FIG. 26 is an example of energy consumption information. All are assumed to be divided by a predetermined period. For example, "energy consumption", "average energy consumption rate", "cost spent on energy consumption", "cost of purchasing energy", "reserved amount of energy purchase", "reserved amount of energy purchase", Examples include “requested amount of energy purchase”, “requested amount of energy purchase”, “energy reserve amount”, “cost spent for energy reserve”. Further, it is preferable that the energy consumption amount is acquired in association with time. This is because business continuity is not an absolute value of energy consumption, but an energy consumption per unit time.

<Embodiment 1; Description of each function: Rating unit>
The “rating department” has a function of rating the business continuity for each actual business, for each company, or for each service based on the acquired energy consumption information and the rating rules held. .. The rating unit uses a plurality of rule-using rating means for performing a single rating by using a plurality of rating rules when rating, and a weighted average operation for the value or rating obtained by each of the plurality of rating rules to calculate the plurality of rules. It may further have a weighted calculation means that is used as information for making one rating by the use rating means. Further, the rating unit holds a weighting control rule holding unit for holding a weighting control rule for controlling the weighting of the weighting calculation performed by the weighting calculation unit, and a business continuity evaluation result (business abolition) in association with the rating result in the rating unit. , Business transfer, business continuity, business expansion, etc.) and the weighting control rule used to calculate the rating result associated with the acquired business continuity evaluation result. It may have a weighted control rule correction means for correcting.

FIG. 38 is a diagram showing an example of the variation contents of rating variables. For example, assuming that the monthly average consumption value for the last five years is held, the values are January "Ca1", February "Ca2", March "Ca3", April "Ca4", May "Ca5". , “Ca6” in June, “Ca7” in July, “Ca8” in August, “Ca9” in September, “Ca10” in October, “Ca11” in November, “Ca12” in December. Then, the rating change for a given month is used as the total value of rating variables for the last three months. As a rule for obtaining the rating variable, for example, when the value (Cr) of this year is 80% to 120% compared to the average value (Ca) of the past 5 years, “no change”, 60% If it is -80%, it is "-1", and if it is 60% or less, it is "-2". Note that, for example, when it is 12% or more, "+1" may be used. For example, the rating variable for July in a given year is the sum of the rating variables for the last three months, April, May, and June. If the rating variable for April is "no change", the rating variable for May is "-1", and the rating variable for June is "-2", the total is "-3".
Then, in the final rating, the rating variables are not directly affected by the rating. For example, when the total value of rating variables in the last 3 months is 0, “no rating change” and the last 3 If the total value of rating variables for the month is "-1 to -3", the rating is "1 down", and if the total value of rating variables for the last 3 months is "-4 to -6", the rating is "rated". It may be possible to lower it by 2. Here again, there may be a case where the rating is raised.

FIG. 39 is a diagram conceptually summarizing FIG. 38. As an example, it is assumed that the monthly consumption average value for 2020 to 2022 of the latest three years (non-deficit settlement) is held, and the values are January “Ca1”, February “Ca2”, and March “Ca3. , “Ca4” in April, “Ca5” in May, “Ca6” in June, “Ca7” in July, “Ca8” in August, “Ca9” in September, “Ca10” in October, “Ca11” in November, Dec "Ca12". Then, when rating is performed in July 2023, the variables "Cr4", "Cr5", and "Cr6" are used. The rating variable is calculated in relation to the value of each "Cr" and the numerical value obtained by multiplying each "Ca", which is the average consumption value in the past three years, by each value of "K". Here, it is assumed that the value related to “K” increases in the order of “K1<K2<K3<K4”. It is conceivable that K4 is "1" or more and K3 is less than "1".

FIG. 40 is a diagram when a rating variable is calculated based on the same month last year. As an example, it is assumed that the value of “K” increases in the order of “K1<K2<K3<K4”.
In one example, if it is larger than K4, it is a rising range, if it is larger than K3 and it is K4 or less, it is a normal range, if it is larger than K2 and it is K3 or less, it is a falling range 1, and if it is larger than K1 and it is K2 or less, it is a falling range 2. If it is K1 or less, it may be considered that the falling range is 3. How to set the rating variable when applicable to each range is a matter that can be freely designed.
On the other hand, in another example, if K4 or more, an ascending range, if K3 or more and less than K4, a normal range, if K2 or more and less than K3, a falling range 1, and if K1 or more and less than K2. If the falling range is less than 2 and K1, it may be considered that the falling range is 3. How to set the rating variable when applicable to each range is a matter that can be freely designed.

FIG. 41 is a diagram showing an actual rating using rating variables. As an example, it is assumed that there are five levels of "very good", "good", "average", "slightly bad", and "bad".
As one example, if the total value of the rating variables (arbitrarily determined numerical values) obtained in the example of FIG. 40 is greater than 20, “very good”, and if greater than 10 and 20 or less, “good”, 0 It is considered that if it is larger than 10 and less, it is "average", if it is larger than 0 and less than 0, it is "slightly bad", and if it is less than "-10", it is "bad". How to set the numerical value that is the threshold value of each range is a matter that can be freely designed.
On the other hand, as another example, if the total value of the rating variables (arbitrarily set numerical values) obtained in the example of FIG. 40 is 20 or more, “very good”, and 10 or more and less than 20 For example, "good", 0 or more and less than 10 "average", "-10" or more and less than 0 "slightly bad", less than "-10""bad". Is possible. How to set the numerical value that is the threshold value of each range is a matter that can be freely designed.

FIG. 42 is a diagram showing details of the rating in FIG. It is not limited to the following examples. Assuming a rating in July, we ask for rating changes for the latest three months, April, May, and June. Assume that April is greater than 60% of the average for the last three years and 80% or less, and the rating variable is "-1". Assuming that May is higher than 80%, which is the average for the last three years, and 120% or less, the rating variable is set to "0". Assuming that June is below 60% of the average for the last three years, the rating variable is "-2". Then, the total value becomes "-3". If the rating at the end of March was "2", which was average, it would have been "-3" for the next three months, so the rating in July was "-1", that is, "somewhat bad". "It turns out that.

FIG. 43 is a diagram showing an example of the case where the rating unit has a plurality of rule-using rating means and a weighting operation means. The weighting “K1” is multiplied by the rating rule 1, the weighting “K2” is multiplied by the rating rule 2, and the weighting “K3” is multiplied by the rating rule 3, and the rating result A is calculated. It is a state of leading.

FIG. 44 is a diagram showing an example of a case where the rating unit has a weight control rule holding unit, a weight control rule holding unit, a business continuity evaluation result acquisition unit, and a weight control rule correction unit. The rating result A calculated as shown in FIG. 43 and the evaluation result A that is “the evaluation result of business continuity based on the business performance of the company A” are acquired, and the matching between the rating result A and the evaluation result A is calculated. .. If the result of the calculation shows good agreement, the weightings “K1”, “K2”, and “K3” in FIG. 43 are not changed. On the other hand, if the match is poor in the calculation prefecture, it is assumed that the weighting balance is poor, so the contents of weighting “K1”, “K2”, and “K3” in FIG. 43 are changed. is there. Then, the process shown in FIG. 43 is performed again.

FIG. 45 is a diagram showing an example of “evaluation result of business continuity based on business record of company A” in FIG. 44. It is desirable to be more objective, for example, "a1 x sales + b1 x profit + c1 x stock price drop rate" or "a2 x market share + b2 x net profit + c1 x market capitalization change rate", etc. is not.

FIG. 27 is a diagram showing an example of the contents of the rating result. Although not limited to these, “AAA” is “excellent. No problem in management for the time being”, “AA” is “very good/no problem in management”, “A” is “good management condition”, “ "B" is "average management state", "C" is "management state below average", "D" is "state below average, it is not unusual for management to deteriorate anytime", and "E" is "greater than average" "Failure, business continuity is in jeopardy", "F" is "clearly close to failure", and "G" is "failed already". In this way, the rating result can be understood at a glance when the rating result is coded to show the rating result, for example, the best one is “AAA” and the worst one is “G”.

In addition to the above, the type of rating may be probability calculation, ranking, or scoring.

The type of rating is, for example, "a company is assigned to one of N (natural number) categories, and the management of the company is represented by the category to which it belongs." "The bankruptcy probability of the company is represented by a numerical value such as a percentage." "Indicates the degree of goodness of management from the best companies." "Shows the position of goodness of management from the best companies as a percentage." "Shows the state of management of the company with a facial expression." "Management of the company" There are no particular limitations on the type of rating result, such as "the weather icon is represented by the weather icon" and "the management state of the company is represented by a picture of a living thing."

<Hardware configuration>
The hardware configuration of the business continuity rating system in this embodiment will be described with reference to the drawings.

FIG. 2 is a diagram showing a hardware configuration of the business continuity rating system in this embodiment. As shown in this figure, the computer is configured on a motherboard and includes a chip set (0210), a CPU (0201), a non-volatile memory (0203), a main memory (0204), various buses (0202a to 0202e), and a BIOS. (0207) Various interfaces (0205, 0206, 0208), real time clock (0209), etc. These operate in cooperation with the operating system, device drivers, and various programs. Various programs and various data that constitute the present invention are configured to efficiently use these hardware resources to execute various processes.
<Chipset>
A "chipset" is a set of large-scale integrated circuits (LSI) that is mounted on a motherboard of a computer and that has a function of connecting a CPU external bus and a standard bus that connects a memory and peripheral devices, that is, a bridge function. .. There are cases where the two-chip set configuration is adopted and cases where the one-chip set configuration is adopted. A north bridge is provided on the side close to the CPU and main memory, and a south bridge is provided on the side far from the interface with the relatively slow external I/O.
(Northbridge)
The north bridge includes a CPU interface, a memory controller, and a graphic interface. Most of the functions of the conventional north bridge may be assigned to the CPU. The north bridge is connected to the memory slot of the main memory via a memory bus, and is connected to the graphic card slot of the graphic card by a high speed graphic bus (AGP, PCI Express).
(South Bridge)
The south bridge is connected to a PCI interface (PCI slot) via a PCI bus, and has an I/O function and a sound function with an ATA (SATA) interface, a USB interface, an Ethernet interface, and the like. Incorporating circuits that support PS/2 ports, floppy disk drives, serial ports, parallel ports, and ISA buses that do not require or are not capable of high-speed operation is a hindrance to speeding up the chipset itself. Therefore, it may be separated from the south bridge chip and assigned to another LSI called a super I/O chip. A bus is used to connect the CPU (MPU) to peripheral devices and various control units. The buses are connected by chipsets. The memory bus used for connection with the main memory may have a channel structure instead of this in order to increase the speed. The bus can be a serial bus or a parallel bus. The parallel bus transfers data one bit at a time, whereas the serial bus transfers the original data itself or multiple bits cut out from the original data as a group and transmits them simultaneously on multiple communication paths. A dedicated line for the clock signal is provided in parallel with the data line to synchronize the data demodulation on the receiving side. It is also used as a bus that connects a CPU (chipset) and external devices, and includes GPIB, IDE/(parallel) ATA, SCSI, PCI, and the like. Since there is a limit to the speedup, in the improved PCI Express of PCI and the improved serial ATA of parallel ATA, the data line may be a serial bus.
<CPU>
The CPU sequentially reads a sequence of instructions called a program on the main memory, interprets and executes it, and outputs information consisting of signals to the main memory as well. The CPU functions as a center for performing calculations in the computer. It should be noted that the CPU is composed of a CPU core portion which is the center of calculation and a peripheral portion thereof, and has a register, a cache memory inside the CPU, an internal bus connecting the cache memory and the CPU core, a DMA controller, a timer, a north bridge. Includes interfaces to and from the connection bus. A plurality of CPU cores may be included in one CPU (chip). Further, the processing may be performed by a graphic interface (GPU) or FPU in addition to the CPU.
<Nonvolatile memory>
(HDD)
The basic structure of a hard disk drive is composed of a magnetic disk, a magnetic head, and an arm carrying the magnetic head. The external interface can adopt SATA (in the past, ATA). A high performance controller, for example SCSI, is used to support communication between hard disk drives. For example, when copying a file to another hard disk drive, the controller can read the sectors and transfer to another hard disk drive for writing. At this time, the memory of the host CPU is not accessed. Therefore, it is not necessary to increase the load on the CPU.
<Main memory>
The CPU directly accesses and executes various programs on the main memory. The main memory is a volatile memory and a DRAM is used. The program on the main memory is expanded from the non-volatile memory to the main memory in response to the program start instruction. After that, the CPU executes the program according to various execution instructions and the execution procedure in the program.
<Operating system (OS)>
The operating system is used to manage the resources on the computer for use by applications, to manage various device drivers, and to manage the computer itself, which is hardware. In a small computer, firmware may be used as an operating system.
<BIOS>
The BIOS causes the CPU to execute the procedure for booting up the computer hardware and operating the operating system, and is most typically the hardware that the CPU first reads when receiving the boot instruction of the computer. .. Here, the address of the operating system stored in the disk (nonvolatile memory) is described, and the operating system is sequentially expanded in the main memory by the BIOS expanded in the CPU to be in the operating state. Note that the BIOS also has a check function for checking the presence/absence of various devices connected to the bus. The result of the check is saved in the main memory and can be appropriately used by the operating system. The BIOS may be configured to check an external device or the like.

The above is the same in other embodiments.

Here, the "main memory" provides a work area which is also a work area of the program while reading out a program for executing various processes for execution by the "CPU". In addition, a plurality of addresses are assigned to each of the "main memory" and the "HDD", and the program executed by the "CPU" exchanges data with each other by identifying and accessing the address. It is possible to perform processing. In this embodiment, the programs stored in the "main memory" are a rating rule holding program, an energy consumption information acquisition program, and a rating program. In addition, the “main memory” and “HDD” have rating rules for rating business continuity of businesses that consume energy based on energy consumption information, which is information about energy consumption for conducting business. , Energy consumption information for each business unit, a rating of business continuity for each business based on the acquired energy consumption information and the rating rule held, and the like are stored.

The “CPU” executes the energy consumption information acquisition program stored in the “main memory” and acquires the energy consumption information from the user terminal device by the business unit through the “network interface”. Then, the rating program stored in the "main memory" is executed, and the business continuity is rated for each business based on the acquired energy consumption information and the retained rating rule.

<Process flow>
FIG. 3 is a diagram showing a flow of processing when the business continuity rating system according to the present embodiment is used. As shown in FIG. 3, the processing method includes a rating rule acquisition step (S0301), an energy consumption information acquisition step (S0302), and a rating step (S0303).

The “grading rule acquisition step” is to acquire the retained rating rule for rating. Basically, the rating 3wz rule is held and acquired for each type of business.

The “rating step” is a step of rating business continuity for each business based on the acquired energy consumption information and the rating rules that are held.

<Summary>
As described above, it is possible to provide a business continuity rating system capable of determining business continuity based on highly reliable data. Especially in the manufacturing industry, since the degree of direct connection between energy consumption and production is high, it is highly credible to judge business continuity based on changes in energy consumption.

Embodiment 2

<Embodiment 2: Mainly corresponding to claim 2>
In the present embodiment, in addition to the features of the first embodiment, the energy consumption information acquisition unit uses, as energy consumption information, power consumption information, gas consumption information, oil consumption information, water consumption information, coal consumption information, hydrogen consumption information, Provide a business continuity rating system configured to obtain any one or more of chemical consumption information used for energy consumption.

<Functional configuration>
FIG. 4 is a diagram showing a functional configuration of the business continuity rating system in this embodiment. The business continuity rating system in this embodiment has a rating rule holding unit (0401), an energy consumption information acquisition unit (0402), and a rating unit (0403). The energy consumption information acquisition unit has an individual acquisition means (0404). The contents of each function will be specifically described below. The functions of the energy consumption information acquisition unit except for the individual acquisition unit are the same as those in the first embodiment, and therefore the description will be limited to the functions of the individual acquisition unit of the energy consumption information acquisition unit.

FIG. 28 is a diagram showing an overall image of this embodiment. First, in the business continuity rating system, power consumption information, gas consumption information, oil consumption information, water consumption information, coal consumption information, hydrogen consumption information, chemical product consumption information, etc. are acquired as energy consumption information. These are held in association with the company ID, and the energy consumption information used for actually calculating the rating result based on the rating rule is selected. The rating result is calculated and generated based on the selected energy consumption information. In the example of the drawing, the company with the company ID “0386” is calculated based on the rating rule based on the power consumption information, the gas consumption information, and the water consumption information, and the rating result is generated.

"Individual acquisition means" in the energy consumption information acquisition unit means, as energy consumption information, power consumption information, gas consumption information, oil consumption information, water consumption information, coal consumption information, hydrogen consumption information, chemistry used for energy consumption It has a function of acquiring any one or more of the product consumption information.

The “power consumption information” indicates the power consumption per unit time. Although kwh can be used as a unit, kw which is a power consumption rate can also be used if the unit time is one hour. It is also possible to use kgf·m/s, PS, kcal/h, HP(BHP), etc. instead of w, and if they are used in a unified manner, the administrator of this system has set them. It may be an arbitrary unit.
Alternatively, a unit that substitutes for power consumption, for example, a power consumption charge may be used.
For example, in the case of a curry chain restaurant, assuming an average store, the average daily power consumption of the store can be set to 1A or the like.

“Gas consumption information” is the consumption of city gas and LP gas. Generally, a unit expressing volume is used. For example, liter. In addition to this, a unit indicating a volume such as a cubic meter can be used, but as described above, an arbitrary unit set by the system administrator or the like or a gas consumption fee may be used as alternative information.

“Oil consumption information” is information indicating the amount of oil consumed as an energy source, and the oil may be gasoline, heavy oil, light oil, or kerosene. Usually, it is shown in the unit of volume like the gas consumption information. Alternatively, it may be indicated by the oil consumption rate. When the oil is exclusively used for power generation, the power consumption information can be used as alternative information. A value indicating weight may be used instead of volume.

The "water consumption information" is information indicating the amount of water consumed and generally indicates the amount of water supply consumed, but it may include not only water supply but also industrial water. Although a unit indicating a volume is used as a unit, a flow rate per unit time or a charge spent for water may be used as alternative information. The “coal consumption information” is information indicating the amount of coal used as an energy source, and the volume and weight can be used.

“Hydrogen consumption information” is information indicating the amount of hydrogen used as an energy source. It may be represented by information indicating the volume or information indicating the energy. "Chemical consumption information used for energy consumption" is another energy source and includes, for example, one or more of ethanol consumption information, methane consumption information, high pressure nitrogen consumption information, charcoal consumption information, biomaterial consumption information. .. The acquisition unit of these consumption information may be a unit of 30 minutes (demand time) from the hour, a unit of a day, a unit of a week, or a unit of a month. However, the companies to be compared will obtain and compare in a unified unit. Since it estimates the economy of a company, it can be fully used on a monthly basis.

<Hardware configuration>
FIG. 5 is a diagram showing a hardware configuration of the business continuity rating system in this embodiment. As shown in this figure, the computer is configured on a motherboard and includes a chipset (0510), a CPU (0501), a non-volatile memory (0503), a main memory (0504), various buses (0502a to 0502e), and a BIOS. (0507) It consists of various interfaces (0505, 0506, 0508), real-time clock (0509) and so on. These operate in cooperation with the operating system, device drivers, and various programs. Various programs and various data that constitute the present invention are configured to efficiently use these hardware resources to execute various processes.

Here, the "main memory" provides a work area which is also a work area of the program while reading out a program for executing various processes for execution by the "CPU". In addition, a plurality of addresses are assigned to each of the "main memory" and the "HDD", and the program executed by the "CPU" exchanges data with each other by identifying and accessing the address. It is possible to perform processing. In the present embodiment, the programs stored in the "main memory" are the energy consumption information acquisition program and the rating program having the rating rule holding program and the individual acquisition subprogram.

Further, in the “main memory” and the “HDD”, as in the first embodiment, rating rules, energy consumption information, ratings, etc. are stored. Further, in the present embodiment, the energy consumption information is any one of power consumption information, gas consumption information, oil consumption information, water consumption information, coal consumption information, hydrogen consumption information, and chemical product consumption information used for energy consumption. The feature is that it is specified as above.

The “CPU” executes the energy consumption information acquisition program stored in the “main memory” and acquires the energy consumption information from the user terminal device by the business unit through the “network interface”. The energy consumption information acquired here is one or more of power consumption information, gas consumption information, oil consumption information, water consumption information, coal consumption information, hydrogen consumption information, and chemical consumption information used for energy consumption. .. Then, the rating program stored in the "main memory" is executed, and the business continuity is rated for each business based on the acquired energy consumption information and the retained rating rule.

<Process flow>
FIG. 6 is a diagram showing a flow of processing when the business continuity rating system according to the present embodiment is used. As shown in FIG. 6, the processing method includes a rating rule acquisition step (S0601), an energy consumption information acquisition step (S0602) including an individual acquisition substep (S0604), and a rating step (S0603). Of these, each step except the individual acquisition sub-step included in the energy consumption information acquisition step is the same as in the first embodiment. The individual acquisition sub-step will be described below.

The "individual acquisition sub-step" included in the energy consumption information acquisition step is used as energy consumption information for power consumption information, gas consumption information, oil consumption information, water consumption information, coal consumption information, hydrogen consumption information, energy consumption. It is the stage to acquire any one or more of the information on consumption of chemicals.

<Summary>
As a result, it is possible to provide a business continuity rating system capable of determining business continuity in real time based on information such as power consumption information.

Embodiment 3

<Embodiment 3: Mainly corresponding to claim 3>
In addition to the features of the first or second embodiment, the present embodiment is configured to hold, as a rating rule, a consumption trend determination rule for performing a rating based on whether the energy consumption of the same business has a downward trend. Existing business continuity rating system.

<Functional configuration>
FIG. 7 is a diagram showing a functional configuration of the business continuity rating system in this embodiment. The business continuity rating system in this embodiment has a rating rule holding unit (0701), an energy consumption information acquisition unit (0702), and a rating unit (0703). Then, the rating rule holding unit has a consumption trend judgment rule holding means (0704). The contents of each function will be specifically described below. Since the functions of the rating rule holding unit other than the consumption trend judgment rule holding unit are the same as those of the first embodiment, only the functions of the consumption trend judgment rule holding unit of the rating rule holding unit will be described.

The “consumption trend judgment rule holding means” in the rating rule holding unit has a function of holding a consumption trend judgment rule as a rating rule for performing a rating based on whether the energy consumption of the same business has a downward trend.

FIG. 29 is a diagram illustrating an example of an uptrend of the consumption trend determination rule. As an example, the table shows trends on a yearly basis and is not limited to ratings based on this table. The vertical axis shows energy consumption and the horizontal axis shows the year. For example, in a company whose company ID is “0386”, 2010 is 5N, 2011 is 5.5N, 2012 is 5.5N, 2013 is 5N, 2014 is 5.5N, and 2015 is 5N, 2016. If the year is 5.5N, 2017 is 6N, 2018 is 6N, 2019 is 6.5N, 2020 is 6.5N, and 2021 is 7N. One trend was parallel lines that did not change significantly each year, but starting in 2016, it is rising until 2021. Therefore, this example is an uptrend.

On the other hand, FIG. 30 is a diagram showing an example of a downward trend in the consumption trend determination rule. As an example, the table shows trends by year and is not limited to ratings based on this table. The vertical axis shows energy consumption and the horizontal axis shows the year. For example, in a company whose company ID is “0391”, 2010 is 5N, 2011 is 5N, 2012 is 5.5N, 2013 is 5.5N, 2014 is 5N, and 2015 is 4.5N, 2016. If the year is 4.5N, 2017 is 4N, 2018 is 4N, 2019 is 3.5N, 2020 is 3N, and 2021 is 2.5N. One trend was parallel lines that did not change significantly each year, but starting in 2015, it is declining until 2021. Therefore, this example is a downtrend. When the slope of the regression line is positive, it is considered to be an upward trend, and conversely, when it is negative, it is considered to be a downward trend. There are various methods for reflecting the magnitude of the slope in the rating. The most orthodox method is to find the normal distribution of the slope and to give a rating based on the deviation from the mean value. The average value in this case has zero slope. The deviation width may be 10% or 20% of the total number of comparison companies.

FIG. 31 is a diagram showing a flow regarding a consumption trend determination rule for determining a consumption trend. The above-mentioned method of determining the trend is an easy-to-understand example, but if the trend breaks the business continuity, it is useful to set a certain rule. Therefore, as an example only, “energy consumption for a certain period in the past is aggregated and acquired, for example, on an annual basis” (S3201), and then “regression analysis” is performed (S3202), and as a result, the regression line is calculated. That is, the inclination is acquired (S3203), and the inclination is graded according to whether the inclination is positive or negative and its angle (S3204).

<Hardware configuration>
FIG. 8 is a diagram showing a hardware configuration of the business continuity rating system in this embodiment. As shown in this figure, the computer is configured on a motherboard and includes a chip set (0810), a CPU (0801), a non-volatile memory (0803), a main memory (0804), various buses (0802a to 0802e), and a BIOS. (0807) Various interfaces (0805, 0806, 0808), real time clock (0809), etc. These operate in cooperation with the operating system, device drivers, and various programs. Various programs and various data that constitute the present invention are configured to efficiently use these hardware resources to execute various processes.

Here, the "main memory" provides a work area which is also a work area of the program while reading out a program for executing various processes for execution by the "CPU". In addition, a plurality of addresses are assigned to each of the "main memory" and the "HDD", and the program executed by the "CPU" exchanges data with each other by identifying and accessing the address. It is possible to perform processing. In this embodiment, the programs stored in the "main memory" are a rating rule holding program having a consumption trend determination rule holding subprogram, an energy consumption information acquisition program, and a rating program.

Further, in the “main memory” and the “HDD”, as in the first embodiment, rating rules, energy consumption information, ratings, etc. are stored. Furthermore, the present embodiment is characterized in that the rating rule is a consumption trend determination rule for rating based on whether the energy consumption of the same business has a downward trend.

The “CPU” executes the energy consumption information acquisition program stored in the “main memory” and acquires the energy consumption information from the user terminal device by the business unit through the “network interface”. Then, the rating program stored in the "main memory" is executed, and the business continuity is rated for each business based on the acquired energy consumption information and the retained rating rule. The rating rule used here is a consumption trend judgment rule that makes a rating based on whether energy consumption for the same business is in a downward trend.

<Process flow>
FIG. 9 is a diagram showing a flow of processing when the business continuity rating system according to the present embodiment is used. As shown in FIG. 6, the processing method includes a rating rule acquisition step (S0901) including a consumption trend determination rule acquisition substep (S0904), an energy consumption information acquisition step (S0902), and a rating step (S0903). Of these, each step except the consumption trend determination rule acquisition sub-step included in the rating rule acquisition step is the same as in the first embodiment. The consumption trend judgment rule acquisition substep will be described below.

The “consumption trend judgment rule acquisition sub-step” included in the rating rule acquisition step is a step of acquiring a consumption trend judgment rule as a rating rule in which a rating is made based on whether energy consumption of the same business is in a downward trend. is there.

<Summary>
As a result, it is possible to provide a business continuity rating system capable of grasping the productivity of the company depending on whether or not the energy consumption is decreasing and judging the business continuity in real time.

Embodiment 4

<Embodiment 4: Mainly corresponding to claim 4>
In the present embodiment, in addition to the features of any of the first to third embodiments, as a rating rule, a consumption energy threshold judgment is performed based on a comparison between energy consumption in a predetermined period for the same business and a set threshold. Provide a business continuity rating system configured to retain rules.

<Functional configuration>
FIG. 10 is a diagram showing a functional configuration of the business continuity rating system in this embodiment. The business continuity rating system in this embodiment includes a rating rule holding unit (1001), an energy consumption information acquisition unit (1002), and a rating unit (1003). The rating rule holding unit has a consumption energy threshold value judgment rule holding unit (1004). The contents of each function will be specifically described below. Since the functions of the rating rule holding unit except the energy consumption threshold value judgment rule holding unit are the same as those of the first embodiment, the description will be limited to the functions of the energy consumption threshold value judgment rule holding unit of the rating rule holding unit. ..

The “consumption energy threshold value judgment rule holding means” in the rating rule holding unit holds, as a rating rule, a consumption energy threshold value judgment rule for performing a rating based on a comparison between energy consumption and a set threshold value for the same business in a predetermined period. Have a function. Here, by observing the energy consumption trend in a certain period unit, for example, in a year unit, a misjudgment is made when the energy consumption amount is increased or decreased due to the influence of the seasonal busy season or the off season. Will be able to prevent.

FIG. 32 is a diagram showing an example of the energy consumption threshold value determination rule in the present embodiment. In FIG. 32, the vertical axis represents energy consumption and the horizontal axis represents monthly. The energy consumption threshold is between 7N and 9N in January, between 7N and 9N in February, between 6N and 8N in March, between 5N and 7N in April, between 5N and 7N in May. , June 5N to 7N, July 6N to 8N, August 6N to 8N, September 5N to 7N, October 5N to 7N, November 6N From 8 to 8N and in December from 7N to 9N. Then, since January is 8N, it is within the threshold, February is 7.5N, it is within the threshold, March is 6.5N, it is within the threshold, and April is 5.2N, it is within the threshold, May. Is 5.2N, which is within the threshold, June is 4.5N, which is outside the threshold, July is 5N, which is outside the threshold, August is 6N, which is within the lower threshold, and September is 5N. Therefore, the lower limit is within the threshold, October is 4N outside the threshold, November is 5N outside the threshold, and December is 6N outside the threshold. The business continuity is judged by the ratio of whether or not it is within the threshold value and the distance from the threshold value. Of course, within the threshold, the business continuity is high, while outside the threshold, the business continuity is low.

<Hardware configuration>
FIG. 11 is a diagram showing the hardware configuration of the business continuity rating system in this embodiment. As shown in this figure, the computer is configured on a motherboard and includes a chipset (1110), a CPU (1101), a non-volatile memory (1103), a main memory (1104), various buses (1102a to 1102e), and a BIOS. (1107) Consists of various interfaces (1105, 1106, 1108), real-time clock (1109), and the like. These operate in cooperation with the operating system, device drivers, and various programs. Various programs and various data that constitute the present invention are configured to efficiently use these hardware resources to execute various processes.

Here, the "main memory" provides a work area which is also a work area of the program while reading out a program for executing various processes for execution by the "CPU". In addition, a plurality of addresses are assigned to each of the "main memory" and the "HDD", and the program executed by the "CPU" exchanges data with each other by identifying and accessing the address. It is possible to perform processing. In this embodiment, the programs stored in the "main memory" are a rating rule holding program having an energy consumption threshold value judgment rule holding subprogram, an energy consumption information acquisition program, and a rating program.

Further, in the “main memory” and the “HDD”, as in the first embodiment, rating rules, energy consumption information, ratings, etc. are stored. Furthermore, the present embodiment is characterized in that the rating rule is a consumption energy threshold value judgment rule for rating based on the comparison between the energy consumption of the same business in a predetermined period and the set threshold value.

The “CPU” executes the energy consumption information acquisition program stored in the “main memory” and acquires the energy consumption information from the user terminal device by the business unit through the “network interface”. Then, the rating program stored in the "main memory" is executed, and the business continuity is rated for each business based on the acquired energy consumption information and the retained rating rule. The rating rule used here is an energy consumption threshold value judgment rule for performing a rating based on the comparison between the energy consumption of the same business in a predetermined period and the set threshold value.

<Process flow>
FIG. 12 is a diagram showing the flow of processing when the business continuity rating system in this embodiment is used. As shown in FIG. 12, the processing method includes a rating rule acquisition step (S1201) including an energy consumption threshold value judgment rule acquisition substep (S1204), an energy consumption information acquisition step (S1202), and a rating step (S1203). .. Of these, each step except the consumption energy threshold value judgment rule acquisition sub-step included in the rating rule acquisition step is the same as in the first embodiment. Below, the consumption energy threshold judgment rule acquisition substep will be described.

The “consumption energy threshold judgment rule acquisition sub-step” included in the rating rule acquisition step is a consumption energy threshold judgment rule for performing a rating based on the comparison between the energy consumption of the same business in a predetermined period and the set threshold as a rating rule. Is the stage to get.

<Summary>
As a result, it is possible to provide a business continuity rating system capable of grasping the productivity of the company by comparing the energy consumption for a predetermined period with the set threshold value and judging the business continuity in real time.

Embodiment 5

<Fifth embodiment: mainly corresponding to claim 5>
In the present embodiment, in addition to any of the features of the first to fourth embodiments, the rating rule is based on a comparison between an energy consumption history of a predetermined period for the same business and a set standard energy consumption history. A business continuity rating system configured to hold an energy consumption history judgment rule that performs

<Functional configuration>
FIG. 13 is a diagram showing a functional configuration of the business continuity rating system in this embodiment. The business continuity rating system in this embodiment has a rating rule holding unit (1301), an energy consumption information acquisition unit (1302), and a rating unit (1303). Then, the rating rule holding unit has energy consumption history judgment rule holding means (1304). The contents of each function will be specifically described below. The functions of the rating rule holding unit except for the energy consumption history judgment rule holding unit are the same as those of the first embodiment, and therefore the description will be limited to the functions of the energy consumption history judgment rule holding unit of the rating rule holding unit. ..

The “consumption energy consumption history judgment rule storage means” in the rating rule storage unit is the consumption energy that is rated based on the comparison between the energy consumption history for the same business for a predetermined period and the set standard energy consumption history as the rating rule. It has a function of holding the history judgment rule.

FIG. 33 is a diagram illustrating an example of the consumption energy history determination rule. The vertical axis shows energy consumption and the horizontal axis shows the month as a time axis. The set standard energy consumption history is the range indicated by the triangle and the energy consumption history is the point indicated by the double circle. Then, the set standard energy consumption history is in the range of “7.5 to 8.0” N in January, in the range of “7.5 to 8.0” N in February, and in the range of “3” in March. The range of 6.5-7.0" N, the range of 5.5-6.0 N in April, the range of 4.5-5.0 N in May, the month of June Range of "4.5-6.0" N, range of "5.5-6.0" N in July, range of "6.5-7.0" N in August, range of September Is in the range of "6.5 to 7.0" N, in October it is in the range of "5.5 to 6.0" N, in November it is in the range of "5.5 to 6.0" N, in December Is in the range of “6.5 to 7.0” N. And in the company with the actual company ID “0411”, the range is 8N in January, the range is 8N in February, the range is 7N in March, and the range is 6N in April. 6N out of range in May, 4N out of range in June, 4N out of range in July, 6N out of range in August, 6N out of range in September, 5N in October Out of range, 6N in November, 7N in December, and so on.

FIG. 34 is a diagram showing the degree of separation from the set standard consumption energy in a four-stage table. Taking the company in FIG. 33 as an example, the judgment “4” is a good judgment for January, February, March, April, November, and December, which are within the range, and then 0. The normal judgment of "2" for May, August, September, and October, which is a difference of 5N, and "0" for June and July, which is 1.5N outside the range. It is conceivable that the rating result is obtained in consideration of the distance to the set range, such as a bad judgment. In order to maintain business continuity, it is appropriate to look at some period, not monthly, and for example, the average score for this company was "2.6 points". It will be.

FIG. 35 is a diagram showing a bankruptcy probability distribution when the rating is performed as in FIG. The vertical axis shows the bankruptcy probability, and the horizontal axis shows the evaluation in four stages in FIG. 34. When the score is 0, it is about “N8%”, when the score is 1, it is about “N7.6%”, and when the score is 2, it is about “N5.3%”. When the score is 3, it is about “N2.5%”, and when the score is 4, it is about “N1.0%”. Therefore, based on this assumption, the company of FIG. 34 has a score of “2.6”, and therefore the bankruptcy probability is considered to be about “N3.3%”.

<Hardware configuration>
FIG. 14 is a diagram showing the hardware configuration of the business continuity rating system in this embodiment. As shown in this figure, the computer is configured on a motherboard and includes a chipset (1410), a CPU (1401), a non-volatile memory (1403), a main memory (1404), various buses (1402a to 1402e), and a BIOS. (1407) Various interfaces (1405, 1406, 1408), real time clock (1409), etc. These operate in cooperation with the operating system, device drivers, and various programs. Various programs and various data that constitute the present invention are configured to efficiently use these hardware resources to execute various processes.

Here, the "main memory" provides a work area which is also a work area of the program while reading out a program for executing various processes for execution by the "CPU". In addition, a plurality of addresses are assigned to each of the "main memory" and the "HDD", and the program executed by the "CPU" exchanges data with each other by identifying and accessing the address. It is possible to perform processing. In this embodiment, the programs stored in the "main memory" are a rating rule holding program having an energy consumption history judgment rule holding subprogram, an energy consumption information acquisition program, and a rating program.

Further, in the “main memory” and the “HDD”, as in the first embodiment, rating rules, energy consumption information, ratings, etc. are stored. Further, in the present embodiment, the rating rule is an energy consumption history judgment rule for performing the rating based on the comparison between the energy consumption history of the same business in a predetermined period and the set standard energy consumption history. Is characterized by.

The “CPU” executes the energy consumption information acquisition program stored in the “main memory” and acquires the energy consumption information from the user terminal device by the business unit through the “network interface”. Then, the rating program stored in the "main memory" is executed, and the business continuity is rated for each business based on the acquired energy consumption information and the retained rating rule. The rating rule used here is an energy consumption history judgment rule for performing a rating based on the comparison between the energy consumption history of a predetermined period for the same business and the set standard energy consumption history.

<Process flow>
FIG. 15 is a diagram showing a flow of processing when the business continuity rating system in this embodiment is used. As shown in FIG. 15, this is a processing method including a rating rule acquisition step (S1501) including an energy consumption history determination rule acquisition substep (S1504), an energy consumption information acquisition step (S1502), and a rating step (S1503). .. Of these, each step except the energy consumption history determination rule acquisition sub-step included in the rating rule acquisition step is the same as in the first embodiment. The following describes the energy consumption history judgment rule acquisition substep.

The "consumption energy history judgment rule acquisition sub-step" included in the rating rule acquisition step is a rating rule, in which the rating is based on the comparison between the energy consumption history of the same business for a predetermined period and the set standard energy consumption history. It is a stage to acquire the consumption energy history judgment rule to be performed.

<Summary>
As a result, it is possible to provide a business continuity rating system capable of grasping the productivity of the company by comparing with the energy consumption history and judging the business continuity in real time.

Embodiment 6

<Embodiment 6: Mainly for claim 6>
In addition to the features of any of the first to fifth embodiments, the present embodiment has, as a rating rule, a comparison between the energy consumption productivity index for the same business and the standard energy consumption productivity index set. Provide a business continuity rating system configured to retain energy consumption productivity index energy consumption judgment rules that are rated based on.

FIG. 36 is a diagram showing a productivity map in which the vertical axis represents productivity and the horizontal axis represents energy consumption. For example, a company with low energy consumption and high productivity is evaluated highly, and a company with high energy consumption and low productivity is evaluated low. In that case, for example, in FIG. 36, F, G, and H are highly evaluated as “AA”, A, B, C, D, and E are evaluated as “A”, I is evaluated as “BBB”, and J is evaluated as “BB”. It is in good condition. Here, what is the "standard vs. energy consumption productivity index" is the part of the evaluation "A", and if it is above that, it is the excellent evaluation "AA" or "AAA", on the other hand. If it is lower than that value, a poorer evaluation "BBB" or less is given.

<Functional configuration>
FIG. 16 is a diagram showing a functional configuration of the business continuity rating system in this embodiment. The business continuity rating system in this embodiment has a rating rule holding unit (1601), an energy consumption information acquisition unit (1602), and a rating unit (1603). Then, the rating rule holding unit has a consumption energy productivity index consumption energy judgment rule holding unit (1604). The contents of each function will be specifically described below. Since the functions of the rating rule holding unit other than the energy consumption energy productivity index energy consumption judgment rule holding unit are the same as those of the first embodiment, the energy consumption efficiency productivity index energy consumption judgment rule of the rating rule holding unit is the same. Only the function of the holding means will be described.

In the rating rule holding unit, the “holding means for energy consumption productivity index for consumption energy judgment rule” is a comparison between the energy consumption productivity index for the same business and the standard energy consumption productivity index for the same business as a rating rule. It has the function of holding the energy consumption productivity index consumption energy judgment rule for rating based on.

<Hardware configuration>
FIG. 17 is a diagram showing the hardware configuration of the business continuity rating system in this embodiment. As shown in this figure, the computer is configured on a motherboard and includes a chipset (1710), a CPU (1701), a non-volatile memory (1703), a main memory (1704), various buses (1702a to 1702e), and a BIOS. (1707) Various interfaces (1705, 1706, 1708), real-time clock (1709), etc. These operate in cooperation with the operating system, device drivers, and various programs. Various programs and various data that constitute the present invention are configured to efficiently use these hardware resources to execute various processes.

Here, the "main memory" provides a work area which is also a work area of the program while reading out a program for executing various processes for execution by the "CPU". In addition, a plurality of addresses are assigned to each of the "main memory" and the "HDD", and the program executed by the "CPU" exchanges data with each other by identifying and accessing the address. It is possible to perform processing. In the present embodiment, the programs stored in the “main memory” are a rating rule holding program, an energy consumption information acquisition program, and a rating program having an energy consumption productivity index energy consumption determination rule holding subprogram.

Further, in the “main memory” and the “HDD”, as in the first embodiment, rating rules, energy consumption information, ratings, etc. are stored. Furthermore, in the present embodiment, the rating rule makes a rating based on the comparison between the energy consumption productivity index for the same business and the standard energy consumption productivity index that has been set. The feature is that it is said to be a rule.

The “CPU” executes the energy consumption information acquisition program stored in the “main memory” and acquires the energy consumption information from the user terminal device by the business unit through the “network interface”. Then, the rating program stored in the "main memory" is executed, and the business continuity is rated for each business based on the acquired energy consumption information and the retained rating rule. The rating rule used here is a judgment rule for energy consumption against energy consumption, which is a rating based on the comparison between the energy productivity index against energy consumption and the standard energy productivity index against energy consumption set for the same business. ..

<Process flow>
FIG. 18 is a diagram showing a flow of processing when the business continuity rating system in this embodiment is used. As shown in FIG. 18, the rating rule acquisition step (S1801) including the energy consumption productivity index consumption energy determination rule acquisition substep (S1804), the energy consumption information acquisition step (S1802), and the rating step (S1803) Is a processing method. Of these, each step except the energy consumption energy productivity index energy consumption determination rule acquisition substep included in the rating rule acquisition step is the same as in the first embodiment. In the following, the sub-step of acquiring the energy consumption productivity index energy consumption determination rule will be described.

The “energy consumption energy productivity index consumption energy consumption rule acquisition sub-step” included in the rating rule acquisition step is the standard energy consumption productivity index set with the energy consumption productivity index for the same business as a rating rule. It is the stage to acquire the energy consumption productivity index consumption energy judgment rule, which makes a rating based on the comparison with.

<Summary>
As a result, it is possible to provide a business continuity rating system capable of determining business continuity in real time based on a productivity index calculated by comparing energy consumption with productivity (sales etc.).

Embodiment 7

<Embodiment 7: Mainly for claim 7>
In the present embodiment, in addition to any of the features of the first to sixth embodiments, whether or not the history of energy consumption for the same business is stably repeated or not stably is used as a rating rule. Provide a business continuity rating system configured to hold a consumption stability and continuity determination rule that is rated based on.

<Functional configuration>
FIG. 19 is a diagram showing a functional configuration of the business continuity rating system in this embodiment. The business continuity rating system in this embodiment has a rating rule holding unit (1901), an energy consumption information acquisition unit (1902), and a rating unit (1903). The rating rule holding unit has a consumption stability/continuity determination rule holding unit (1904). The contents of each function will be specifically described below. Since the functions of the rating rule holding unit except the consumption stability/continuity determination rule holding unit are the same as those of the first embodiment, the functions are limited to the functions of the consumption stability/continuity determination rule holding unit in the rating rule holding unit. explain.

The “consumption stability continuity determination rule holding means” in the rating rule holding unit is a rating rule that is based on whether the history of energy consumption for the same business is stably repeated or not stably repeated. It has the function of holding the consumption stability continuity judgment rule. In this case, the more stable, continuous, and regular the energy consumption is, the higher the business continuity is judged to be. As an example, stability can be considered by taking into consideration the tendency of consumption increase/decrease, presence/absence and degree of holiday operation, and by regularity, the regularity of consumption time and consumption can be considered.

FIG. 37 is a diagram showing a determination method and a determination result in the consumption stability continuity determination rule holding unit in this embodiment. The vertical axis is energy consumption and the horizontal axis is time. For example, in the case of Company A, the up and down fluctuations in energy consumption are regular and stable, and are highly evaluated. Next, in the case of company B, the threshold values above and below the fluctuation are constant, though it is irregular, and it is highly evaluated in that respect. Next, in the case of Company C, the evaluation is low because it is irregular and the amount of energy consumed fluctuates up and down. Next, in the case of Company D, the threshold values above and below the fluctuation are constant, though it is irregular, and it is highly evaluated in that respect. As described above, in the present embodiment, the rating is performed based on whether the history of energy consumption is stably repeated or not stably repeated.

<Hardware configuration>
FIG. 20 is a diagram showing the hardware configuration of the business continuity rating system in this embodiment. As shown in this figure, the computer is configured on a motherboard and includes a chipset (2010), a CPU (2001), a non-volatile memory (2003), a main memory (2004), various buses (2002a to 2002e), and a BIOS. (2007) Various interfaces (2005, 2006, 2008), real-time clock (2009), etc. These operate in cooperation with the operating system, device drivers, and various programs. Various programs and various data that constitute the present invention are configured to efficiently use these hardware resources to execute various processes.

Here, the "main memory" provides a work area which is also a work area of the program while reading out a program for executing various processes for execution by the "CPU". In addition, a plurality of addresses are assigned to each of the "main memory" and the "HDD", and the program executed by the "CPU" exchanges data with each other by identifying and accessing the address. It is possible to perform processing. In the present embodiment, the programs stored in the "main memory" are a rating rule holding program having a consumption stability and continuity determination rule holding subprogram, an energy consumption information acquisition program, and a rating program.

Further, in the “main memory” and the “HDD”, as in the first embodiment, rating rules, energy consumption information, ratings, etc. are stored. Further, in the present embodiment, the rating rule is a consumption stability continuity determination rule for performing rating based on whether the history of energy consumption for the same business is stably repeated or not stably repeated. It is characterized in that it is done.

The “CPU” executes the energy consumption information acquisition program stored in the “main memory” and acquires the energy consumption information from the user terminal device by the business unit through the “network interface”. Then, the rating program stored in the "main memory" is executed, and the business continuity is rated for each business based on the acquired energy consumption information and the retained rating rule. The rating rule used here is a consumption stability/continuity judgment rule in which a rating is made based on whether the history of energy consumption for the same business is stably repeated or not stably repeated.

<Process flow>
FIG. 21 is a diagram showing the flow of processing when the business continuity rating system according to this embodiment is used. As shown in FIG. 21, with a processing method including a rating rule acquisition step (S2101) including a consumption stability continuity determination rule acquisition substep (S2104), an energy consumption information acquisition step (S2102), and a rating step (S2103). is there. Of these, each step except the consumption stability/continuity determination rule acquisition sub-step included in the rating rule acquisition step is the same as in the first embodiment. In the following, the consumption stability continuity determination rule acquisition sub-step will be described.

The “consumption stability continuity judgment rule acquisition sub-step” included in the rating rule acquisition step refers to whether the history of energy consumption for the same business is stably repeated or not stable as a rating rule. It is at the stage of acquiring the consumption stability and continuity judgment rules that are based on the rating.

<Summary>
As a result, it is possible to provide a business continuity rating system that can judge business continuity in real time based on a productivity index calculated by using whether or not there is unevenness in energy consumption as one index. ..

Chipset: 0210,0510
CPU: 0201, 0501
Non-volatile memory: 0203,0503
Main memory: 0204, 0504
Various buses: 0202a to 0202e, 0502a to 0502e
BIOS: 0207,0507
Various interfaces: 0205, 0206, 0208, 0505, 0506, 0508
Real-time clock: 0209, 0509

Claims

A rating rule holding unit that holds a rating rule for rating the business continuity of a business that consumes energy based on energy consumption information that is information about energy consumption for performing a business;
An energy consumption information acquisition unit that acquires energy consumption information for each business unit,
A rating department for rating business continuity for each business based on the acquired energy consumption information and the rating rules held,
Business continuity rating system with.
The energy consumption information acquisition unit uses, as energy consumption information, one of power consumption information, gas consumption information, oil consumption information, water consumption information, coal consumption information, hydrogen consumption information, and chemical product consumption information used for energy consumption. The business continuity rating system according to claim 1, further comprising individual acquisition means for acquiring the above.
The rating rule holding unit has a consumption trend determination rule holding unit that holds a consumption trend determination rule for performing a rating based on whether the energy consumption of the same business has a downtrend or an uptrend as a rating rule. The business continuity rating system according to claim 1 or claim 2.
The rating rule holding unit has energy consumption threshold value judgment rule holding means for holding, as a rating rule, an energy consumption threshold value judgment rule for performing a rating based on a comparison between energy consumption in a predetermined period for the same business and a set threshold value. The business continuity rating system according to any one of claims 1 to 3.
The rating rule holding unit holds, as a rating rule, an energy consumption history judgment rule that holds an energy consumption history judgment rule for performing a rating based on a comparison between an energy consumption history for a predetermined period of the same business and a set standard energy consumption history. The business continuity rating system according to claim 1, further comprising a holding unit.
The rating rule holding unit, as a rating rule, makes a rating based on the comparison between the energy consumption productivity index for the same business and the standard energy consumption productivity index that has been set. The business continuity rating system according to any one of claims 1 to 5, further comprising: means for holding energy consumption productivity index energy consumption determination rule holding means.
The rating rule holding unit holds, as a rating rule, a consumption stability/continuity determination rule that performs a rating based on whether the history of energy consumption for the same business is stably repeated or not stably repeated. 7. The business continuity rating system according to claim 1, further comprising a stability continuity determination rule holding unit.
The rating section uses a plurality of rule-using rating means for performing one rating by using a plurality of rating rules when rating,
A weighted calculation means for performing a weighted average calculation on the values or ratings obtained by each of the plurality of rating rules and using the plurality of rule use rating means as information for making one rating;
The business continuity rating system according to any one of claims 1 to 7, further comprising:
The rating unit includes a weight control rule holding unit that holds a weight control rule that controls the weight of the weight calculation performed by the weight calculation unit,
Business continuity evaluation result acquisition means for acquiring business continuity evaluation results (business discontinuation, business transfer, business continuity, business expansion, etc.) in association with the rating result in the rating department;
A weighted control rule correction means for correcting the weighted control rule used for calculating the rating result associated with the obtained business continuity evaluation result;
The business continuity rating system according to claim 8, further comprising:
Business continuity provided with a rating rule holding unit that holds rating rules for rating business continuity of businesses that consume energy based on energy consumption information that is information on energy consumption for conducting business A method of operating a personality rating system,
An energy consumption information acquisition step of acquiring energy consumption information for each business unit,
Rating steps for rating the business continuity for each business based on the acquired energy consumption information and the rating rules that are held,
Method of operating a business continuity rating system having.
A computer with a rating rule holding unit that holds rating rules for rating business continuity of businesses that consume energy based on energy consumption information, which is information about energy consumption for conducting business. An operation program of a business continuity rating system, which is readable and executable in a business continuity rating system,
An energy consumption information acquisition step of acquiring energy consumption information for each business unit,
Rating steps for rating the business continuity for each business based on the acquired energy consumption information and the rating rules that are held,
An operation program of a business continuity rating system, which is readable and executable in a business continuity rating system that is a computer having a computer.
The business continuity probability calculation system according to any one of claims 1 to 9, wherein the rating is a probability calculation.
Operation method of the business continuity probability calculation system described in 10, in which the rating is the probability calculation.
An operation program of the business continuity probability calculation system described in 11, in which the rating is the probability calculation.
The business continuity ranking establishment calculation system according to any one of claims 1 to 9, wherein the ratings are ranked.
11. The operating method of the business continuity ranking arithmetic system according to 10, wherein the rating is ranked.
12. The operation program of the business continuity ranking arithmetic system according to 11, wherein the rating is ranked.
The business continuity ranking establishment calculation system according to any one of claims 1 to 9, wherein the rating is a score.
11. The operation method of a business continuity scored computing system according to 10, wherein the rating is scored.
The operation program of the business continuity scored arithmetic system according to 11, wherein the rating is a score.