JP6107211B2 - Analysis support apparatus and program - Google Patents

Description

  The present invention relates to a technology that supports analysis of consumption of resources such as electric power that is consumed when a company performs business.

  An example of a cost reduction measure in a company is to analyze the amount of power consumed by business execution and identify and improve wasteful power consumption. An example of a technique that supports such power consumption analysis is the technique disclosed in Patent Document 1. In Patent Literature 1, the maximum demand value (consumption) in the power basic charge calculation period and the demand value in the vicinity thereof are arranged in the order of consumption in pairs with the respective detection dates and times, and are output as candidates for target demand values. And the number of times when those candidate values are exceeded are output in a table, and a technique for supporting the planning of a power consumption reduction measure is disclosed.

Japanese Patent No. 497745

  In recent years, power supply and demand has become tight in the season when power demand such as mid-summer and mid-winter is high, due to the postponement of operation of nuclear power plants. Such a situation has occurred. For this reason, there is an increasing need among large power consumers to conduct highly accurate power consumption analysis and thoroughly identify wasteful power consumption.

  This type of power consumption analysis is generally performed by paying attention to various analysis indexes. Specific values of these analysis indexes (hereinafter referred to as analysis index values) include equipment such as air conditioning and lighting. In many cases, each basic unit obtained by summing the power consumption every month or every month and dividing the total value by the site area of the customer is adopted. In addition, when calculating the analysis index value, climatic conditions may be taken into consideration as necessary. Which of the various analysis index values calculated for each facility should be emphasized in the above manner, or the specific calculation method of each analysis index value, is the industry type, business type, and business scale of the company being analyzed ( The number of employees, sales, contracted power, etc.) are often different. For example, in the case of a 24/7 convenience store, there is no need to consider regular holidays and business hours when calculating the analysis index value, while in the supermarket, the days and hours that are not open. It is necessary to exclude it from the analysis target (conversely, grasping the electric power used outside the business hours by making the analysis target outside business hours). In other words, in order to perform highly accurate power consumption analysis, it is important to take into account the type of business and the business condition of the company to be analyzed.

  However, the conventional power consumption analysis technology represented by the technology disclosed in Patent Document 1 does not take into account the type of business or business format of the analysis target company, and analyzes which analysis index value should be emphasized. They often relied on the knowledge and experience of the person in charge, as well as Kang backed by them. However, there are not necessarily many excellent analysts who can pay attention to the appropriate analysis index value according to the type of business or the business condition of the company to be analyzed, or can appropriately perform the calculation. For this reason, the conventional power consumption analysis technology cannot sufficiently meet the need to thoroughly identify wasteful power consumption.

  Of course, it is preferable not only to analyze power consumption, but also to analyze consumption with high accuracy for energy and industrial water other than electricity, such as gas and oil, to identify waste, No technology has been proposed in the past that makes it possible to perform such consumption analysis with high accuracy. In the specification of this application, among the business performance elements necessary for the performance of business operations such as energy and industrial water, assets (fixed assets and equipment such as equipment, and liquid assets such as cash and accounts receivable) Business performance elements that are neither human labor nor work are called “resources”.

  The present invention has been made in view of the above problems, and when analyzing the consumption of resources accompanying the performance of a company's business, the business type and business condition of the company can be determined without relying on the knowledge and experience of the analyst. An object of the present invention is to provide a technology that makes it possible to perform consumption analysis with high accuracy in consideration.

  In order to solve the above-described problems, the present invention provides an acquisition unit that acquires identification information indicating a business type or business state of a company, resource consumption data indicating a resource consumption amount of the company, and identification information acquired by the acquisition unit. An analysis index specifying means for specifying the type of analysis index when analyzing the resource consumption based on the type of business or business condition of the company, and defined in association with the type of analysis index specified by the analysis index specifying means Analysis index value calculation means for calculating and outputting the analysis index value, which is the value of the analysis index specified by the analysis index specifying means, from the resource consumption data acquired by the acquisition means in accordance with the calculation method of the analysis index value And providing an analysis support apparatus characterized by comprising:

  In the analysis support apparatus of the present invention, an analysis index specifying process for specifying the type of analysis index based on the business type or the business condition indicated by the identification information acquired by the acquisition means is executed. Then, an analysis index value calculation unit that calculates an analysis index value of the analysis index from the resource consumption of the company whose business type is represented by the identification information is executed by the analysis index value calculation means. Therefore, based on the company's business type or business type, analysis of the company's business type or business type so that the type of analysis index to be noted when performing resource consumption analysis accompanying the business execution of the business of that business type or the like is specified. By associating the types of indicators with each other, simply providing the analysis support device with identification information that indicates the type of business of the company being analyzed. A value is calculated. For this reason, according to the present invention, it is possible to perform highly accurate analysis even if the person in charge of analysis does not have specialized knowledge or sufficient experience.

  As a specific method of associating a company's business type or business type with the type of analysis indicator, an analysis indicator template that defines the type of analysis indicator for each industry type or business type is prepared in advance. The type of the analysis index corresponding to the business type or business format of the company indicated by the identification information acquired by the acquisition unit with reference to the analysis index template may be specified. Similarly, an analysis index database storing calculation method data indicating the calculation method of the analysis index defined in the analysis index template is prepared in advance, and the analysis index value calculation means refers to the analysis index database for analysis. The index value may be calculated. The analysis index template and the analysis index database may be stored in the storage unit of the analysis support apparatus, or another storage device that can be accessed from the analysis support apparatus via a communication network (for example, a network-compatible hard disk drive or the like) ) May be stored. As another aspect of the present invention, an aspect of providing an analysis support method (or a program for causing a computer to execute these processes) that causes a computer to sequentially execute the analysis index specifying process and the analysis index value calculating process is also considered. It is done.

  As a more preferable aspect, the type of analysis index is determined in advance for each type of business or business category, and for each season, and the acquisition means includes resource consumption data indicating resource consumption during the period specified as the analysis target. On the other hand, the analysis index specifying means may be configured to specify the type of analysis index taking into account the season to which the period specified as the analysis target belongs. To achieve this, the analysis indicator template defines the types of analysis indicators that should be noted when analyzing the consumption of resources associated with the performance of a company's business, for each industry or business category, and for each season. You should do it. According to such an aspect, it becomes possible to perform the resource consumption analysis in consideration of the season in addition to the business type and business type.

  As another preferred embodiment, when the analysis index specified by the analysis index specifying unit includes one that needs to be calculated taking into account the climatic conditions, the analysis index value calculating unit includes Then, it is only necessary to acquire the climatic condition data indicating the climatic conditions in the period designated as the analysis target by the acquisition means, and to execute the process of calculating the analysis index value in consideration of the climatic conditions indicated by the climatic condition data. . In addition, as a specific example of the method for obtaining climate condition data, the location of the company to be analyzed (or each office of the company) is specified by the analysis target person, and the temperature of those locations in the period specified as the analysis target. It is conceivable that data representing such as is acquired from a database of the Japan Meteorological Agency or a weather service provider as climatic condition data. According to such an aspect, it is possible to conduct a highly accurate analysis taking into account whether the business is being performed in a cold region such as Hokkaido or Tohoku, or whether the business is being performed in a warm region such as Okinawa or Kyushu. It becomes possible to do.

  As another preferred mode, a mode in which update means for updating the contents stored in the analysis index database and the analysis index template is considered. According to such an aspect, it becomes possible to customize the storage contents of the analysis index template and the analysis index database. For example, a registered analysis index template can be customized for each consumer and saved and reused, so that it can be reused when analyzing resource consumption of other consumers with similar industries and business conditions. Can do.

It is a figure which shows the structural example of the power consumption analysis system 1 containing the analysis assistance apparatus 10 of embodiment of this invention. 2 is a diagram illustrating a configuration example of the analysis support apparatus 10. FIG. It is a figure which shows the outline | summary of the analysis assistance process which the control part 110 of the same analysis assistance apparatus 10 performs according to the analysis assistance program 144c. It is a figure which shows an example of the analysis parameter | index template 144a memorize | stored in the non-volatile memory | storage part 144 of the same analysis assistance apparatus. It is a figure which shows an example of the output format of the analysis index value computed by the same analysis assistance apparatus. It is a figure which shows an example of the output format of the analysis index value computed by the same analysis assistance apparatus. It is a figure which shows an example of the analysis parameter | index database 144b memorize | stored in the non-volatile memory | storage part 144 of the same analysis assistance apparatus 10. FIG.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a diagram illustrating a configuration example of a power consumption analysis system 1 including an analysis support apparatus 10 according to an embodiment of the present invention. This power consumption analysis system 1 is for analyzing the power consumption associated with the performance of a business of an analysis target company during a period designated by an analyst. For example, a communication network that is a telecommunication line such as the Internet. The analysis support apparatus 10 connected to 20 is included.

  The analysis support device 10 includes an identification information D1 indicating the business type or type of business of the company to be analyzed, the name of the company, the location of each office, and the number of facilities installed in each location. Information D2, period information D3 for specifying a period to be analyzed (for example, July 1, 2012 to September 30, 2012), and an output format of analysis index values (each analysis index value is plotted on a bar graph) Output format information D4 for designating whether to output or plot the output on a portfolio graph. The analysis support apparatus 10 is triggered by the input of these pieces of information, and includes power consumption data DD indicating the power consumption for each facility of each office of the company at each date and time of the period to be analyzed, and the period When acquiring climate condition data DT indicating the climatic conditions (for example, maximum temperature, minimum temperature, average temperature, average humidity, etc.) of the location of each office at each date and time via the communication network 20 and performing power consumption analysis An analysis index value, which is the value of the analysis index used in the above, is generated and output based on the data. The power consumption data DD may be obtained from the database of the power company that supplies power to each business site, and the climate condition data DT has jurisdiction over the location of the Japan Meteorological Agency or each business site. What is necessary is just to acquire it from a weather station or the database of a private weather information service provider.

FIG. 2 is a block diagram illustrating a configuration example of the analysis support apparatus 10.
As shown in FIG. 2, the analysis support apparatus 10 includes a control unit 110, a communication interface (hereinafter abbreviated as “I / F”) unit 120, a user I / F unit 130, a storage unit 140, and the components. A bus 150 is included to mediate data exchange. The control unit 110 is, for example, a CPU (Central Processing Unit). The control unit 110 functions as a control center of the analysis support apparatus 10 by executing the analysis support program 144c stored in the storage unit 140 (more precisely, the nonvolatile storage unit 144). Details of processing executed by the control unit 110 in accordance with the analysis support program 144c will be clarified later.

The communication I / F unit 120 is, for example, a network interface (NIC).
Card) and is connected to the communication network 20. The communication I / F unit 120 receives data transmitted from the communication network 20 and delivers the data to the control unit 110, while sending the data delivered from the control unit 110 to the communication network 20. The communication I / F unit 120 serves as an acquisition unit that acquires the power consumption data DD and the climate condition data DT via the communication network 20.

  The user I / F unit 130 includes an output device such as a liquid crystal display and an input device such as a keyboard and a mouse. On the output device included in the user I / F unit 130, an input screen for prompting input of identification information and the like and an output screen for presenting the calculation result of the analysis index value are displayed. The input device included in the user I / F unit 130 is for causing the user to input identification information D1, company information D2, period information D3, and output format information D4 (to cause the analysis support apparatus 10 to acquire these information). is there. In this embodiment, a display device such as a liquid crystal display is used as an output device that outputs the calculation result of the analysis index value. However, it is of course possible to use a printing device such as a printer device. In the present embodiment, both the input device and the output device are included in the user I / F unit 130, but either one (or both) of these input devices and output devices are connected to the analysis support device 10. Of course, a separate device may be used.

  As shown in FIG. 2, the storage unit 140 includes a volatile storage unit 142 and a nonvolatile storage unit 144. The volatile storage unit 142 is, for example, a RAM (Random Access Memory). The volatile storage unit 142 is used by the control unit 110 as a work area when executing various programs. The non-volatile storage unit 144 is, for example, a hard disk. The non-volatile storage unit 144 stores an analysis index template 144a, an analysis index database 144b, and an analysis support program 144c.

  The analysis support program 144c is a program for causing the control unit 110 to execute analysis support processing that significantly shows the features of the present embodiment. FIG. 3 is a diagram for explaining the outline of the analysis support process. As shown in FIG. 3, the analysis support process of the present embodiment includes an analysis index specifying process SA100 and an analysis index value calculation process SA200.

  The analysis index specifying process SA100 is executed when the identification information D1 and the like are acquired via the input device of the user I / F unit 130. In the analysis index specifying process SA100, the control unit 110 refers to the analysis index template 144a, and the period information D3 of the company in the business category (or business type) indicated by the identification information D1 acquired through the input device of the user I / F unit 130. The analysis index to be noticed when performing the power consumption analysis associated with the performance of the business in the season to which the period indicated by, and the analysis index that is preferably output in the output format indicated by the output format information D4 is specified.

  The analysis index template 144a is data in which an analysis index to be noted when performing resource consumption analysis accompanying business execution of a company is defined for each business type or business category, for each season, and for each output format. FIG. 4 is a diagram illustrating a specific example of the analysis index template 144a. FIG. 4 exemplifies an analysis index template in which a suitable analysis index is defined for each output format when performing a summer power consumption analysis of a supermarket. For example, the analysis index template T1 illustrated in FIG. 4 includes a first graph in which the horizontal axis represents air conditioning power and the vertical axis represents cooling efficiency, the second axis represents refrigeration power, and the vertical axis represents refrigeration efficiency. FIG. 5 is an analysis index template for outputting in a portfolio graph format (see FIG. 5) in which a mark indicating each office is plotted on each of the third graphs in which the horizontal axis represents illumination power and the vertical axis represents illumination efficiency.

  Also, the analysis index template T2 shown in FIG. 4 is an analysis index template for outputting (see FIG. 6) a bar graph of the power consumption of each office for each air conditioning, refrigeration and lighting facility. The analysis index “cooling efficiency” illustrated in FIG. 4 is a value obtained by dividing the air-conditioning power consumption at the time when the temperature exceeds 30 degrees by the temperature. This analysis index “cooling efficiency” is an analysis index that is particularly important when performing an analysis of power consumption in the summer for an industry in which it is important to grasp the power consumption of air conditioning. In addition, what season the period specified as the analysis target belongs to may be specified with reference to a calendar or the like that defines the date and time indicating the start and end of each season.

  The analysis index value calculation process SA200 is executed subsequent to the analysis index specifying process SA100. In the analysis index value calculation process SA200, the control unit 110 firstly includes power consumption data DD indicating the power consumption of the analysis target company (that is, the company indicated by the company information D2) in the period indicated by the period information D3, and The climatic condition data DT indicating the climatic conditions in the period is acquired via the communication network 20. The climate condition data DT may be acquired from the Japan Meteorological Agency database or the like using the location of each office indicated by the company information D2 and the period indicated by the period information D3 as search keys. Next, the control unit 110 specifies the calculation method of the analysis index specified in the analysis index specifying process SA100 with reference to the analysis index database 144b, and sets the analysis index value that is the value of the analysis index as the power consumption data DD. And according to the calculation method using the climate condition data DT and outputting.

  In the analysis index database 144b, calculation method data indicating the calculation method of each analysis index value defined in the analysis index template 144a (specifically, the type of power consumption data from which the analysis index value is calculated is shown). Data and data representing a calculation formula) are stored in advance. FIG. 7 is a diagram illustrating an example of the contents stored in the analysis index database 144b. In the example shown in FIG. 7, for each facility unit such as air conditioning, refrigeration, lighting, kitchen, etc., the target power consumption from the day indicated by the power consumption power data DD (business hours of the analysis target company or Data indicating the criteria for selecting (applicable to meteorological conditions), data indicating the calculation formula for calculating the basic unit, and data indicating the type of parameter when calculating the basic unit such as site area and temperature Stored.

  For example, the analysis target company is a supermarket having three offices in locations A, B, and C, and identification information D1 and company information D2 corresponding to the company are input to the analysis support apparatus 10, 2012. It is assumed that period information D3 indicating a period from July 1 to September 30, 2012 is input, and output format information D4 indicating a portfolio graph format is input. In this case, the control unit 110 executes the above-described analysis index specifying process SA100, and refers to the corresponding analysis index template (that is, the analysis index template T1 in FIG. 4), so that “air conditioning power”, “cooling efficiency”, Each analysis index of “refrigeration power”, “refrigeration efficiency”, “lighting power” and “lighting efficiency” is specified. Next, the control unit 110 executes the above-described analysis index value calculation process SA200, and transmits the climatic condition data DT indicating the climatic conditions of the locations A, B, and C in the period indicated by the period information D3 via the communication network 20. In addition to the acquisition, the power consumption data DD indicating the power consumption of each facility at the locations A, B and C is acquired via the communication network 20. And the control part 110 calculates each said analysis parameter | index value for every establishment based on these electric power consumption data DD and climate condition data DT.

  Specifically, the control unit 110 sets the power consumption of the air-conditioning facilities during business hours for “air-conditioning power” and the refrigeration for “refrigeration power” among the power consumption of each date and time represented by the power consumption data DD. The power consumption of the facility (regardless of whether it is within business hours or not), and the “lighting power” is calculated by totaling the power consumption of the lighting facilities during business hours for each office. Further, the control unit 110 calculates the “cooling efficiency” by totaling values obtained by dividing the power consumption of the air conditioning at the date and time when the temperature is 30 ° C. or more by the temperature and the date and time. Similarly, the control unit 110 calculates “refrigeration efficiency” by dividing “refrigeration power” by the number of refrigeration measures (number of refrigeration facilities), and divides “illumination power” by the number of illuminations to obtain “illumination efficiency”. calculate. Then, the control unit 110 outputs a portfolio graph (see FIG. 5) in which marks corresponding to each business site are plotted based on these six types of analysis index values calculated for each business site, as an output device of the user I / F unit 130. To output. The person in charge of the analysis can perform the power consumption analysis of each office with reference to the portfolio graph output in this way.

  As described above, according to the present embodiment, the identification information D1, the company information D2, the period information D3 indicating the period of the analysis target, and the output format information D4 indicating the output format of the analysis index value are displayed. Just by giving to the analysis support device 10, the analysis index value to be noticed when performing the power consumption analysis accompanying the business execution of the company in the business type is output in the output format indicated by the output format information D4. Even if the person in charge does not have specialized knowledge or sufficient experience, it becomes possible to perform highly accurate analysis based on these analysis index values.

Although one embodiment of the present invention has been described above, it is needless to say that the following modifications may be added to this embodiment.
(1) Although the application example of the present invention to the power consumption analysis has been described in the above embodiment, the application target of the present invention is not limited to the power consumption analysis. For example, the present invention may be applied to analysis of consumption of fossil fuels such as gas and oil, and may be applied to analysis of consumption of water such as drinking water and industrial water.

(2) In the above embodiment, the analysis index template 144a and the analysis index database 144b are stored in advance in the nonvolatile storage unit 144 of the analysis support apparatus 10. However, either one (or both) of the analysis index template 144a and the analysis index database 144b is stored in another device connected to the communication network 20, and the control unit 110 of the analysis support device 10 stores the other You may make it perform the process which refers the analysis parameter | index template 144a (or analysis parameter database 144b) memorize | stored in the apparatus via the communication network 20. FIG.

(3) In the above embodiment, a plurality of types of output formats of analysis index values are prepared. This is to enable multi-faceted analysis from different viewpoints. However, the analysis index value may be output in only one type (for example, only output by a portfolio graph or only output by a bar graph). In such an aspect, it is not necessary for the person in charge of analysis to input the output format information D4. There is no need to set the analysis index template for each output format, and it defines the analysis index that should be noted when analyzing the consumption of resources associated with the performance of the company's business, for each industry or business category, and for each season. I just need it. In addition, it is not essential to provide an analysis index template for each season, and at least the analysis index that should be noted when analyzing the consumption of resources associated with the performance of a company's business is specified for each company's industry or business type. It ’s fine. Further, when the analysis target period is set to a predetermined period from the input time point of the identification information D1 or the company information D2, it is not necessary for the person in charge of analysis to input the period information D3.

(4) The analysis indicator template 144a may be changed by the person in charge of analysis, and update means for saving may be provided in the analysis support apparatus 10 so that the analysis indicator template 144a can be customized according to the analysis target company. Similarly, it is of course possible to provide the analysis support apparatus 10 with update means for changing the stored contents of the analysis index database 144b to the person in charge of analysis. Of course, the customized analysis index template 144a and the analysis index database 144b may be output as electronic data so that they can be reused by other analysis support apparatuses. According to such an aspect, the analysis index template 144a and the analysis index database are used when performing resource consumption analysis of other companies in the business category or the industry similar to the company that has created the analysis index template 144a and the analysis index database 144b. It becomes possible to reduce the trouble of creating 144b.

(5) In the above embodiment, an analysis support program that causes the control unit 110 of the analysis support apparatus 10 to execute an analysis support process that clearly shows the characteristics of the present invention is stored in advance in the nonvolatile storage unit 144 of the analysis support apparatus 10. It was. However, the analysis support program may be distributed by being written on a computer-readable recording medium such as a CD-ROM (Compact Disk-Read Only Memory), or distributed by downloading via a telecommunication line such as the Internet. Also good. This is because by operating a general computer in accordance with the analysis support program distributed in this way, the computer can function as the analysis support apparatus of the present invention.

  DESCRIPTION OF SYMBOLS 1 ... Electric power consumption analysis system, 10 ... Analysis support apparatus, 20 ... Communication network, 110 ... Control part, 120 ... Communication I / F part, 130 ... User I / F part, 140 ... Memory | storage part, 142 ... Volatile memory , 144... Nonvolatile storage unit, 144 a. Analysis index template, 144 b. Analysis index database, 144 c. Analysis support program, 150.

Claims (5)

An acquisition means for acquiring identification information indicating a business type or business type of the company and resource consumption data indicating the resource consumption of the company;
When analyzing the resource consumption corresponding to the business type or business type of the company indicated by the identification information acquired by the acquisition means with reference to an analysis index template in which the type of analysis index is defined for each business type or business type of the company Analytical index identification means for identifying the type of analytical index,
According to the method of calculating the analysis index value defined in association with the type of analysis index specified by the analysis index specifying means, the analysis index value corresponding to the type of analysis index specified by the analysis index specifying means, Analysis index value calculation means for calculating and outputting from the resource consumption data acquired by the acquisition means;
An analysis support apparatus characterized by comprising: The type of analysis index used when analyzing the resource consumption is predetermined for each industry type or business category, for each season,
The acquisition unit acquires resource consumption data indicating resource consumption during a period specified as an analysis target, while the analysis index specifying unit takes into account the season to which the period specified as an analysis target belongs. The analysis support apparatus according to claim 1, wherein the type of the analysis support apparatus is specified. When the analysis index specified by the analysis index specifying means includes a type that needs to be calculated taking into account climatic conditions, the analysis index value calculation means is designated as an analysis target. The analysis support according to claim 2, characterized in that climate condition data indicating climatic conditions in a given period is acquired by the acquisition means, and an analysis index value is calculated in consideration of the climatic conditions indicated by the climatic condition data. apparatus. Before SL analysis index value calculating means refers to the analysis indicator database storing calculation method data indicating a method of calculating the analysis indicators as defined in the analysis indicator template identified by said analyzing index specification unit Analysis Calculate the analysis index value corresponding to the type of index,
The analysis support apparatus according to any one of claims 1 to 3, further comprising an update unit that updates the storage contents of the analysis index database and the analysis index template. On the computer,
When the identification information indicating the business type or business type of the analysis target company is input, the company indicated by the identification information is referred to the analysis index template in which the type of analysis index is defined for each business type or business type of the company. Analytical index identification process to identify the type of analytical index when analyzing resource consumption corresponding to
According to the analysis index calculation method defined in association with the type of the analysis index specified in the analysis index identification process, the resource consumption data indicating the resource consumption of the analysis target company is acquired. An analysis index value calculation process for calculating and outputting an analysis index value corresponding to the type of the analysis index specified in the specific process from the resource consumption data;
A program characterized by having executed.

Images