JP2008250912A - Energy consumption calculation system and energy consumption calculation method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To accurately calculate information related to energy consumption of equipment, and to display a calculation result intelligibly to a user. <P>SOLUTION: An energy consumption system 1 has: a life pattern extraction section 20 for extracting life pattern information from a life pattern database 10c based on installation information and use information; an operation status estimation section 22 for estimating the operation status of the equipment based on the life pattern information; a first calculation section 24 for calculating first prediction information based on the operation status and a first consumption model in a first consumption model database 10a; a second calculation section 26 for calculating second prediction information based on the use information and a second consumption model in a second consumption model database 10b; an image extraction section 28 for extracting various pieces of image information from an image database 10d based on the installation information and the use information; and an output section 30 for outputting an output image based on the first and second prediction information and the extracted image information. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to an energy consumption calculation system and an energy consumption calculation method for calculating information related to energy consumption of a device.

Conventionally, a method for calculating information related to energy consumption of a device is known. For example, Patent Document 1 below discloses a product information system that calculates a running cost of a product based on customer information and product information, and proposes a product based on the calculation result. Further, in Patent Document 2 below, there is an operation planning device that generates a predicted demand pattern based on an actually measured demand amount, and selects an optimum operation pattern by comparing the pattern with a standard demand pattern. It is disclosed.
JP 2002-288326 A JP 2003-134664 A

  However, neither the product information system disclosed in Patent Document 1 nor the operation planning device disclosed in Patent Document 2 fully considers the operating status of the equipment, and therefore the accuracy of calculation is not sufficiently guaranteed. For example, in the above product demand system, the usage time that is the basis of running cost is based on manual input, and the installation status of equipment that is closely related to energy consumption is not considered, so the calculation accuracy is limited. is there. Moreover, in the said operation planning apparatus, since measured value must be prepared in order to produce | generate a predicted demand pattern, there exists a possibility that an optimal driving | operation pattern may be selected only based on a specific operation condition. Moreover, in the product information system of the above-mentioned Patent Document 1, the calculation result is only displayed as character information, which is not necessarily easy for the user to use.

  The present invention has been made to solve the above-described problem, and calculates energy consumption with high accuracy, and can calculate calculation results so that the user can easily understand the information. It is an object to provide a system and an energy consumption calculation method.

  The energy consumption calculation system of the present invention is an energy consumption calculation system for calculating information related to energy consumption of a device, device information indicating a device, energy type information indicating a type of energy consumed by the device, and the device A first consumption model database for storing a first consumption model in which space information indicating a space where the device is installed and first consumption information related to energy consumption of the device in the space are associated; device information; energy type information User information indicating a user who uses the device indicated by the device information, and second consumption information related to energy consumption when the user uses the device indicated by the device information. A second consumption model database storing two consumption models, user information, and user image data indicated by the user information; User image information associated with the device information, device information, energy type information, device image information associated with the device image data indicated by the device information, and spatial image data represented by the space information and the space information. An image database that stores spatial image information associated with each other, installation information reception means that receives input of installation information in which device information, energy type information, and spatial information are associated with each other, and a calculation target device Use information receiving means for receiving input of use information in which information, energy type information, and user information are associated; spatial information; user information; and the spatial information by the user indicated by the user information. Life pattern receiving means for receiving input of life pattern information associated with the usage time of the space to be used, and installation information receiving means Based on the installed installation information and the life pattern information received by the life pattern receiving means, an operating status estimating means for estimating the operating status of the equipment, the operating status estimated by the operating status estimating means, and a first Based on the first consumption model stored in the consumption model database, the first calculation means for calculating the first prediction information related to the energy consumption in the operating situation, and the usage information received by the usage information receiving means. The second consumption model is extracted from the second consumption model database, and is received by the installation information receiving means, second calculation means for calculating second prediction information related to energy consumption for the usage information based on the extracted second consumption model. The spatial image information including the spatial information included in the installed information and the usage information received by the usage information receiving means. User image information including user information included in the operation information, device image information including device information and energy type information included in the installation information, and device including device information and energy type information included in the use information Image extraction means for extracting image information from the image database, first prediction information calculated by the first calculation means, second prediction information calculated by the second calculation means, and space extracted by the image extraction means Output means for generating an output image based on the image information, user image information, and device image information, and outputting the output image.

  The energy consumption calculation method of the present invention includes device information indicating a device, energy type information indicating a type of energy consumed by the device, space information indicating a space in which the device is installed, and the space in the space. A first consumption model database storing a first consumption model associated with first consumption information related to energy consumption of a device, device information, energy type information, and a user who uses the device indicated by the device information A second consumption model database storing a second consumption model in which user information to be displayed is associated with second consumption information related to energy consumption when the user uses the device indicated by the device information; User image information, device information, energy type information, and device information associated with information and user image data indicated by the user information Device image information associated with image data of the device indicated, and an image database storing spatial image information associated with the space information and image data of the space indicated by the space information, and energy consumption of the device An energy consumption calculation method in an energy consumption calculation system for calculating information relating to an installation information reception step for receiving an input of installation information in which device information, energy type information, and space information are associated, and calculation A usage information reception step for receiving input of usage information in which device information, energy type information, and user information are associated, spatial information, user information, and the user indicated by the user information; Accepts input of life pattern information associated with the usage time of the space indicated by the spatial information A life pattern reception step, an operation state estimation step for estimating the operation state of the device based on the installation information received in the installation information reception step and the life pattern information received in the life pattern reception step, and an operation state estimation step A first calculation step of calculating first prediction information related to energy consumption in the operating status based on the operating status estimated in step 1 and the first consumption model stored in the first consumption model database; A second calculation that extracts a second consumption model corresponding to the usage information received in the step from the second consumption model database, and calculates second prediction information related to energy consumption for the usage information based on the extracted second consumption model. Step and installation information reception step Spatial image information including spatial information included in the attached installation information, user image information including user information included in the usage information received in the usage information receiving step, device information included in the installation information, and An image extraction step for extracting device image information including energy type information and device image information including device information and energy type information included in the usage information from the image database, and a first prediction calculated in the first calculation step An output image is generated based on the information, the second prediction information calculated in the second calculation step, and the spatial image information, user image information, and device image information extracted in the image extraction step, and the output image And an output step of outputting an image.

  According to such an energy consumption calculation system and an energy consumption calculation method, the first consumption model, the second consumption model, and three types of image information are stored in the database in advance. First, the operating status of the device is estimated based on the input life pattern information and installation information. Subsequently, based on the estimated operating status and the first consumption model, first prediction information related to energy consumption in the operating status is calculated. Further, based on the input usage information and the second consumption model, second prediction information related to energy consumption for the usage information is calculated. Further, three types of image information are extracted based on the input installation information and usage information. Then, an output image is generated and output based on the first prediction information, the second prediction information, and the extracted image information. The operating status is information indicating the operating time of a device installed in the space indicated by the extracted life pattern information.

  Thus, since the operation status of the device is estimated based on the space in which the device is installed (installation space) and the life pattern information corresponding to the user of the space, the first prediction information also includes the life pattern information. It will be reflected. The second prediction information reflects the user who uses the device. In general, the amount of energy consumed by a device varies depending on the installation space and the usage time of the space, or varies depending on the attributes and number of users who use the device. Therefore, by introducing a calculation method based on the installation space, the usage time of the space, and the user of the space, information regarding the energy consumption of the device can be accurately calculated. Further, since the energy type information is taken into consideration in the calculation, it is possible to calculate the prediction information corresponding to the type of energy consumed. Furthermore, since the calculation result is output together with images corresponding to the input spatial information, user information, device information, and energy type information, the user can easily understand the calculation result.

  The energy consumption calculation system according to the present invention further includes a life pattern database for storing life pattern information, and the life pattern reception means includes space information included in the installation information received by the installation information reception means and use information reception means. It is preferable that life pattern information including user information included in the received use information is extracted from the life pattern database and the extracted life pattern information is received.

  In this case, life pattern information is extracted and accepted based on the spatial information included in the input installation information and the user information included in the input usage information. Therefore, the user of the energy consumption calculation system can check the calculation result without inputting life pattern information.

  In the energy consumption calculation system of the present invention, the area information receiving means for receiving the area information indicating the area where the space exists and the time information receiving means for receiving the time information indicating the time of the calculation object , And the first consumption model is a device information, energy type information, space information, region information indicating a region where the space exists, time information indicating the time, and region indicated by the region information. The model is associated with the first consumption information at the time indicated by the time information, and the first calculation means is received by the operation status, the regional information received by the regional information receiving means, and the time information receiving means. It is preferable to calculate the first prediction information based on the time information and the first consumption model.

  In this case, a first consumption model that further includes the region where the space exists and the time is provided, and the first prediction information is calculated in consideration of the region and the time. Depending on the equipment, the amount of energy consumed within a certain period of time may vary depending on the local environment and operating period. Therefore, by introducing a calculation method based on the region and time, information on the energy consumption of the device can be calculated with higher accuracy.

  In the energy consumption calculation system of the present invention, the first prediction information is a fee charged based on the energy consumption in the operating state, and the second prediction information is used for the energy consumption for the usage information received by the usage information receiving means. Preferably, the fee is charged based on the fee.

  In this case, since the energy charge is predicted based on the space where the device is installed, the usage time of the space, and the user of the space, the energy charge can be calculated with high accuracy. Moreover, since the predicted energy fee is output together with the image, the user can easily understand the prediction result.

  According to such an energy consumption calculation system and energy consumption calculation method, since prediction information related to energy consumption is calculated based on the space in which the device is installed, the usage time of the space, and the user of the space, the device Can accurately calculate information on energy consumption. Further, since the prediction information is output together with the image, the user can easily understand the calculation result.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the description of the drawings, the same or equivalent elements are denoted by the same reference numerals, and redundant description is omitted.

  First, the energy consumption system 1 which concerns on embodiment is demonstrated using FIG. FIG. 1 is a diagram illustrating a functional configuration of the energy consumption system 1. The energy consumption system 1 is a computer system that predicts energy consumption to be calculated. Here, the calculation target is a set of spaces in which devices are installed, and corresponds to, for example, a detached house or a condominium.

  The energy consumption system 1 includes, as functional components, a storage unit 10, a usage information reception unit 12, an installation information reception unit 14, a regional information reception unit 16, a time information reception unit 18, a life pattern extraction unit 20, and an operation status estimation unit. 22, a first calculation unit 24, a second calculation unit 26, an image extraction unit 28, and an output unit 30.

  The storage unit 10 is means for storing predetermined information, and includes a first consumption model database 10a, a second consumption model database 10b, a life pattern database 10c, and an image database 10d. The storage unit 10 is realized by a database.

  The first consumption model database 10a includes device information indicating a device, energy type information indicating a type of energy consumed by the device, space information indicating a space in which the device is installed, and an area where the space exists. Area information to indicate, time information to indicate time, and energy consumption per unit time when the device is operated in the space in the area (first consumption information, hereinafter also referred to as “unit consumption”) ) Is a database that stores the first consumption model associated therewith.

  The device information is an identifier of a device that consumes predetermined energy. What is used as device information is not limited. For example, a general name such as “heating equipment” may be used as the equipment information, and a specific product name may be used as the equipment information.

  The energy type information is information indicating the type of energy consumed by the device. What is used as energy type information is not limited. For example, it may be defined by the type of energy such as “Electricity” or “Gas”, or the energy supply source may be energy type information such as “Cogeneration system”.

The space information is information for identifying a space in which a device is installed, such as a room, a hall, or a specific outdoor location. As a definition method of the spatial information, for example, a method based on an area such as “6 tatami room”, “20 m ² room”, “mansion 8 tatami mat”, “wooden mortar 6 tatami mat”, etc. A method based on the structure and area of the building, a method based on function and area, such as “living room (12 tatami mats)”, “bedroom (6.5 tatami mats)”, and the like are conceivable. Of course, spatial information may be defined by combining these attributes, or the spatial information may be defined without using an area.

  The area information is information for identifying an area where a space where the device is installed exists. How to define regional information is not limited. For example, the regional information can be configured in units of prefectures or regional units in each prefecture.

  The time information is information for identifying the time and is defined, for example, in units of months or seasons.

  The energy consumption (unit consumption) is an amount of energy consumed when the device is operated for 1 hour. For example, the energy consumption is set in units of watts for electric energy, in units of cubic meters for gas energy, and in units of liters for kerosene.

  In some devices, the amount of energy consumed does not depend on space, region, and time. Examples of such devices include lighting fixtures and televisions. For such devices, for example, the first consumption model with spatial information as “all spaces”, regional information as “all regions”, and time information as “year-round”, spatial information, regional information and time information as The omitted first consumption model may be stored in the first consumption model database 10a. In this case, the energy consumption of each device is treated as information common to all spaces, all regions, and all periods.

  Examples of the first consumption model are shown in FIGS. 2 and 3, the energy type information is displayed in parentheses beside the device information. FIG. 2 shows the first consumption model in the area information “A prefecture” and the period information “January”. In the first consumption model, for example, the unit consumption corresponding to the space information “condominium 6 tatami mats” device information “heating appliance” and energy type information “electricity” is “a12 (watt)”. Since the amount of energy consumed by air-conditioning equipment often depends not only on the location where it is installed, but also on the climate of the region, setting the first consumption model for each region information and time information in this way Meaningful.

  FIG. 3 shows a first consumption model in which some attributes are omitted. FIG. 3A shows a first consumption model in which regional information and time information are omitted. For example, the unit consumption for the space information “4.5 tatami mats”, the device information “incandescent lamp”, and the energy type information “electricity” is “M1” for arbitrary area information and time information. On the other hand, FIG. 3B is a first consumption model in which spatial information is further omitted. For example, the unit consumption for the device information “liquid crystal television 22 type” and the energy type information “electricity” is “S1” for arbitrary spatial information, regional information, and time information. Thus, in the energy consumption system 1, it is possible to set the 1st consumption model flexibly.

  The second consumption model database 10b uses device information, energy type information, user information indicating a user who uses the device indicated by the device information, and the user using the device indicated by the device information. It is a database which stores the 2nd consumption model with which energy consumption (2nd consumption information) in the case was linked | related.

  User information is information for identifying an individual or a group who uses a space. For example, user information can be defined such as “single person”, “3 adults”, “2 adults, 2 children”, and the like. How to define the user information is not limited. For example, user information indicating the age and the presence or absence of a spouse such as “couple (mature)” may be defined.

  FIG. 4 is an example of the second consumption model. In this second consumption model, for example, the energy consumption corresponding to the user information “2 adults, 1 child”, the device information “cooking device”, and the energy type information “electricity” is “X3 (watt)”. .

  The life pattern database 10c stores life pattern information in which spatial information, user information indicating a user of the space indicated by the spatial information, and usage time of the space indicated by the user by the user are associated with each other. The database to store.

  The usage time is information indicating how many hours the user indicated by the user information uses the space indicated by the spatial information (in what time zone). The method of defining the usage time is not limited and may be expressed in either time or time zone. Further, the usage time may be set as “all day”, or may be defined using the day of the week or the date.

  The life pattern information can be created based on survey data created by a public / private organization, for example. FIG. 5 is an example of life pattern information. In FIG. 5, it is defined that the user “2 adults, 2 children” uses the space “living room (6 tatami mats)” as “7: 00 to 22:00”, and the user “ The time in which “Room 2 (6 tatami mats)” is used is defined as “7: 00 to 8:00, 15: 00 to 19:00, 20: 00 to 22:00”.

  The image database 10d includes user image information in which user information is associated with user image data indicated by the user information, device information, energy type information, and device image data indicated by the device information. It is a database that stores the associated device image information and the spatial image information in which the spatial information is associated with the image data of the space indicated by the spatial information.

  FIG. 6 shows an example of user image information. For example, four types of image data “patterns a1 to a4” are associated with the user information “couple (mature)”. The number of image data prepared for each user information is not limited. In the example shown in FIG. 6, user information that takes into account age, gender, and the presence or absence of a spouse is used, but the method for defining user information in the user image information is not limited. For example, user information may be defined regardless of age and gender, such as “two adults and two children”.

  FIG. 7 shows an example of device image information. In FIG. 7, energy type information is displayed in parentheses next to the device information. For example, four types of image data “patterns m1 to m4” are associated with the device information “personal computer” and the energy type information “electricity”. The number of image data prepared for each combination of device information and energy type information is not limited.

  FIG. 8 shows an example of spatial image information. For example, four types of image data “patterns q1 to q4” are associated with the spatial information “4 rooms”. The number of image data prepared for each spatial information is not limited. In the example shown in FIG. 8, spatial information considering the number of rooms is used, but the method of defining spatial information in the spatial image information is not limited. For example, space information that further considers the structure of the building such as “4 apartments” may be used, or space information that considers the function of the space such as “kitchen” and “living room” may be used.

  The usage information reception unit 12 is a usage information reception unit that receives input of usage information in which device information, energy type information, and user information to be calculated are associated. For example, the usage information receiving unit 12 receives usage information in which device information “cooking equipment”, energy type information “electricity”, and user information “two adults and one child” are associated. The usage information reception unit 12 outputs the received usage information to the life pattern extraction unit 20, the second calculation unit 26, and the image extraction unit 28.

  The installation information reception unit 14 is an installation information reception unit that receives an input of installation information in which device information, energy type information, and space information to be calculated are associated. The installation information indicates which device is installed where. For example, the installation information reception unit 14 receives input of installation information in which the device information “heating equipment”, the energy type information “electricity”, and the space information “condominium 6 tatami mats” are associated. The installation information reception unit 14 outputs the received installation information to the life pattern extraction unit 20, the operation status estimation unit 22, and the image extraction unit 28.

  The area information receiving unit 16 is an area information receiving unit that receives an input of area information to be calculated. The area information reception unit 16 outputs the received area information to the first calculation unit 24.

  The time information receiving unit 18 is time information receiving means for receiving time information input to be calculated. The time information reception unit 18 outputs the received time information to the first calculation unit 24.

  In addition, the information reception method in the usage information reception unit 12, the installation information reception unit 14, the regional information reception unit 16, and the time information reception unit 18 is not limited. For example, each receiving unit may receive information transmitted from an input device (not shown), or may be received by reading information stored in advance in a storage device (not shown) such as a database or a memory.

  The life pattern extraction unit 20 accepts input of life pattern information in which space information, user information, and a use time of the space indicated by the space information by the user indicated by the user information are associated with each other. It is a reception means. In particular, the life pattern extraction unit 20 obtains life pattern information including spatial information included in the installation information input from the installation information reception unit 14 and user information included in the usage information input from the use information reception unit 12. Extracted from the life pattern database 10c and accepts the extracted life pattern information. For example, usage information including user information “2 adults, 2 children” and spatial information “building is condominium and room configuration is kitchen (2 tatami mats), living room (6 tatami mats), room 1 (4.5 tatami mats) ), Room 2 (6 tatami mats) and room 3 (6 tatami mats) "is input, the life pattern extraction unit 20 extracts the life pattern information shown in FIG. This life pattern information can be expressed as a Gantt chart shown in FIG. The life pattern extraction unit 20 outputs the extracted life pattern information to the operation status estimation unit 22.

  The operation status estimation unit 22 is an operation status estimation unit that estimates the operation status of the device based on the installation information input from the installation information reception unit 14 and the life pattern information input from the life pattern extraction unit 20.

  Specifically, the operation state estimation unit 22 associates the spatial information included in the installation information with the spatial information included in the life pattern information, thereby calculating the estimated operation time of the device indicated by the device information included in the installation information. The operation estimation information shown is generated. The operation estimation information is a set of data indicating the operation status of one device existing in one space. The operation status estimation unit 22 outputs the generated operation estimation information to the first calculation unit 24.

  For example, when the installation information illustrated in FIG. 10 and the life pattern information illustrated in FIGS. 5 and 9 are input, the operation status estimation unit 22 generates the operation estimation information illustrated in FIG. Note that the operation estimation information illustrated in FIG. 11 is generated on the assumption that the usage time of a space is equal to the operation estimation time of a device installed in the space. Of course, a predetermined program for calculating the estimated operation time of the device may be stored in advance, and the operation status estimation unit 22 may calculate the estimated operation time of the device in more detail using the program. For example, the estimated operation time may be calculated by previously storing the ratio of the operation time with respect to the use time of the space in a memory (not shown) and multiplying the use time by the ratio.

  The first calculation unit 24 receives operation estimation information input from the operation status estimation unit 22 (operation status estimated by the operation status estimation unit 22), regional information input from the regional information reception unit 16, and time information reception Based on the time information input from the unit 18 and the first consumption model stored in the first consumption model database 10a, the first prediction information relating to the energy consumption in the operation state indicated by the operation estimation information is calculated. It is a 1st calculation means.

Specifically, the first calculation unit 24 converts the first consumption model including the device information, the energy type information, and the spatial information included in the operation estimation information, and the input region information and time information into the first consumption model database. Extract from 10a. Subsequently, the first calculation unit 24 multiplies each piece of device information included in the operation estimation information by the energy consumption included in the extracted first consumption model and the operation estimation time included in the operation estimation information. The estimated energy consumption (hereinafter also referred to as “estimated consumption”) is calculated. Then, the first calculation unit 24 outputs the calculated one or more estimated consumption amounts to the output unit 30 as the first prediction information. For example, the first calculation unit 24 includes spatial information “condominium, living (6 tatami mats)”, area information “A prefecture”, time information “January”, and energy type information “electricity” in the operation estimation information shown in FIG. And the estimated consumption E1 corresponding to the combination of the equipment information “heating equipment” is calculated by the following formula.
E1 = a12 × 15.0

In addition, the first calculation unit 24 stores in advance a unit charge (for example, a charge per hour) set for each energy type information in a memory (not shown), and based on the unit charge, an energy charge (hereinafter referred to as an energy charge) It is also possible to calculate “estimated fee”. For example, the first calculation unit 24 uses P, Q, R, and S (yen / hour) as units for energy type information “electricity”, “gas”, “kerosene”, and “cogeneration system”, respectively. Set the price. Then, the first calculation unit 24 includes spatial information “apartment, living (6 tatami mats)”, area information “A prefecture”, time information “January”, and energy type information “electricity” in the operation estimation information shown in FIG. And the estimated charge C1 corresponding to the combination of the device information “heating device” is calculated by the following equation.
C1 = a12 × P × 15.0

  The first calculation unit 24 may set a plurality of unit charges for one energy type information. For example, the first calculation unit 24 may use two types of unit charges of daytime charge P1 (yen / hour) and night charge P2 (yen / hour) for the energy type information “electricity”.

  The first calculation unit 24 can also store a monthly basic charge set for each energy type information in a memory (not shown) in advance, and calculate the monthly energy charge using the basic charge. is there. In this case, the 1st calculation part 24 calculates the energy consumption of 1 month for every apparatus, and totals each calculated energy consumption for every energy classification information. Then, the first calculation unit calculates a metered charge per month by multiplying the total energy consumption by a unit charge, and calculates a monthly energy charge by adding the metered charge and the basic charge. The 1st calculation part 24 can also output the estimated charge for every apparatus, or the energy charge of 1 month to the output part 30 as 1st prediction information.

  The second calculation unit 26 extracts a second consumption model corresponding to the usage information input from the usage information receiving unit 12 from the second consumption model database 10b, and energy for the usage information based on the extracted second consumption model. It is the 2nd calculation means which calculates the 2nd prediction information regarding consumption.

  Specifically, the second calculator 26 extracts a second consumption model including user information, device information, and energy type information included in the usage information from the second consumption model database 10b. Subsequently, the second calculation unit 26 corrects the energy consumption by multiplying the extracted energy consumption by an index indicating thermal efficiency (hereinafter referred to as “thermal efficiency index”) as necessary (hereinafter referred to as corrected energy). Consumption is called “corrected energy consumption”). For this purpose, the second calculation unit 26 stores in advance in a memory (not shown) the thermal efficiency index for each energy type information and device information that uses the thermal efficiency index at the time of calculation.

For example, the 2nd calculation part 26 stores apparatus information "cooking apparatus" and "hot-water supply apparatus" as an apparatus which uses a thermal efficiency index | exponent at the time of calculation. Further, the second calculation unit 26 stores thermal efficiency indexes J, K, L, and 0 for the energy type information “electricity”, “gas”, “kerosene”, and “cogeneration system”. Here, the thermal efficiency index of the energy type information “cogeneration system” being 0 indicates that the equipment reuses the exhaust heat energy from the cogeneration system. When the second consumption model is as shown in FIG. 4 and the usage information including the user information “2 adults”, the device information “cooking equipment”, and the energy type information “electricity” is input, The calculation unit 26 corrects the energy consumption amount X2 with respect to the usage information by the following formula to calculate a corrected energy consumption amount E2.
E2 = X2 × J

  On the other hand, when usage information including user information “2 adults”, device information “washing machine”, and energy type information “electricity” is input, the second calculation unit 26 uses the second consumption model database. The energy consumption W2 extracted from 10b is held as it is. The second calculation unit 26 outputs the extracted energy consumption amount or the calculated corrected energy consumption amount to the output unit 30 as second prediction information.

The second calculator 26 can also calculate an estimated fee for the calculated energy consumption or the corrected energy consumption. For this purpose, the second calculation unit 26 stores the unit fee in the same manner as the first calculation unit 24, and reads out the unit fee as necessary. For example, when usage information including user information “2 adults”, device information “cooking equipment”, and energy type information “electricity” is input, the second calculation unit 26 estimates an estimated fee C2 for the usage information. Is calculated by the following equation.
C2 = X2 × J × P

  In addition, the second calculation unit 26 can store a monthly basic charge in the same manner as the first calculation unit 24, and can calculate a monthly energy charge using the basic charge. The second calculator 26 can output the estimated charge for each device or the energy charge for one month to the output unit 30 as the second prediction information.

  The image extracting unit 28 includes a user including spatial image information including spatial information included in the installation information input from the installation information receiving unit 14 and user information included in the usage information input from the usage information receiving unit 12. Image extraction for extracting image information, device image information including device information and energy type information included in the installation information, and device image information including device information and energy type information included in the usage information from the image database 10d Means. The image extraction unit 28 outputs the extracted spatial image information, device image information, and user image information to the output unit 30.

  An extraction example will be described on the assumption that the image database 10d is as shown in FIGS. When the usage information including the user information “couple (young)” is input from the usage information receiving unit 12, the image extraction unit 28 uses the user image information “pattern b1” corresponding to the user information “couple (young)”. The user image information of one of “˜b4” is extracted at random. Spatial information from the installation information reception unit 14 “Building is condominium and room configuration is kitchen (2 tatami mats), living room (6 tatami mats), room 1 (4.5 tatami mats), room 2 (6 tatami mats) and room 3 (6 tatami mats) When the installation information including “)” is input, the image extraction unit 28 randomly extracts one of the spatial image information “patterns r1 to r4” corresponding to the spatial information “5 rooms”. When the usage information including the combination of the device information “PC” and the energy type information “Electricity” is input from the usage information receiving unit 12, the image extracting unit 28 selects one of the device image information “patterns m1 to m4”. The device image information is extracted at random. When installation information including device information “heating equipment” and energy type information “electricity” is input from the installation information receiving unit 14, the image extraction unit 28 selects one of the device image information “patterns h1 to h4”. Extract image information randomly.

  Note that the image extraction method by the image extraction unit 28 is not limited to random extraction. For example, one piece of image information may be extracted based on identification information indicating a specific image input from an input device (not shown).

  The output unit 30 includes first prediction information input from the first calculation unit 24, second prediction information input from the second calculation unit 26, spatial image information input from the image extraction unit 28, and device image information. And output means for generating an output image based on the user image information and outputting the output image.

  The output unit 30 associates the spatial image information with the device image information based on the installation information received by the installation information receiving unit 14. In addition, the output unit 30 stores in advance in a memory (not shown) information indicating the association between the spatial image information and the user image information. Then, the output unit 30 reads information indicating the association based on the input spatial image information and the user image information, and associates the spatial image information and the user image information based on the read information. .

  The output unit 30 generates an output image 40 as shown in FIG. 12, for example, and outputs it to an output device (not shown) such as a monitor or a printer. The output image 40 includes a spatial image 41 showing four rooms 41a to 41d, device images 42a to 42e, user images 43a to 43c, and a calculation result 44. In the calculation result 44, the estimated charges totaled for each type of energy and the total value of the estimated charges are displayed. The output image generated by the output unit 30 is not limited to that shown in FIG.

  Next, the processing of the energy consumption system 1 shown in FIG. 1 will be described with reference to FIGS. 13 and 14, and the energy consumption calculation method according to the present embodiment will be described. FIG. 13 is a flowchart showing processing of the energy consumption system 1. FIG. 14 is a flowchart showing details of the calculation processing of the second prediction information shown in FIG.

  In the energy consumption system 1, the first consumption model is stored in advance in the first consumption model database 10a (first consumption model storage step), and the second consumption model is stored in the second consumption model database 10b (second consumption model). Storage step), life pattern information is stored in the life pattern database 10c (life pattern storage step), and spatial image information, device image information, and user image information are stored in the image database 10d (image storage step).

  First, input of various information is accepted (step S10). Specifically, the usage information reception unit 12 receives input of usage information (use information reception step), the installation information reception unit 14 receives input of installation information (installation information reception step), and the region information reception unit 16 receives the region. The input of information is received, and the time information receiving unit 18 receives the input of time information. Subsequently, the life pattern extraction unit 20 extracts life pattern information including user information included in the input usage information and spatial information included in the input installation information, and accepts the extracted life pattern information. (Step S12, life pattern reception step). Subsequently, the operating status estimation unit estimates the operating status of the device based on the extracted life pattern information and the input installation information (step S14, operating status estimation step). This estimation is performed by associating the spatial information included in the life pattern information with the spatial information included in the installation information.

  Subsequently, the first calculation unit 24 calculates an energy consumption amount and an energy fee (first prediction information) based on the estimated operation status and the input region information and time information (step S16, first calculation). Step). The energy consumption is calculated from the first consumption model database 10a by calculating the unit consumption corresponding to the device information, energy type information and space information included in the input operation estimation information, and the input regional information and time information. This is performed by extracting and multiplying the extracted unit consumption amount with the estimated operation time included in the operation information. The calculation of the energy charge is performed by multiplying the calculated energy consumption amount with the unit charge stored in advance.

  Subsequently, the second calculation unit 26 calculates an energy consumption amount and an energy fee (second prediction information) based on the input usage information (step S18, second calculation step). The energy consumption is calculated by extracting the unit consumption corresponding to the user information, device information and energy type information included in the input usage information from the second consumption model database 10b. At this time, the correction energy consumption may be calculated using the thermal efficiency index based on the energy type information. The energy fee is calculated by multiplying the extracted energy consumption amount or the calculated corrected energy consumption amount and the unit fee.

  The correction energy consumption calculation process based on the energy type information will be described with reference to FIG. The second calculator 26 extracts energy type information from the usage information to be calculated (step S180). When the extracted energy type information is “electricity” (step S182; YES), the second calculation unit 26 calculates the corrected energy consumption by multiplying the extracted unit consumption by the thermal efficiency index of electricity. (Step S184). On the other hand, when the energy type information to be calculated is not “electricity” (step S182; NO), the second calculation unit 26 determines whether the energy type information is “gas” (step S186). If the energy type information is “gas” (step S186; YES), the second calculation unit 26 calculates the corrected energy consumption by multiplying the extracted unit consumption and the thermal efficiency index of the gas (step S186). S188).

  When the energy type information to be calculated is not “gas” (step S186; NO), the second calculation unit 26 determines whether the energy type information is “kerosene” (step S190). Here, if the energy type information is “kerosene” (step S190; YES), the second calculation unit 26 calculates the corrected energy consumption by multiplying the extracted unit consumption and the thermal efficiency index of kerosene ( Step S192). On the other hand, when the energy type information is not “kerosene” (step S190; NO), the second calculation unit 26 calculates the corrected energy consumption by multiplying the extracted unit consumption by the thermal efficiency index of the cogeneration system ( Step S194).

  Thus, the corrected energy consumption amount of the equipment that reuses the exhaust heat energy from the cogeneration system is calculated using the thermal efficiency index set for the cogeneration system. Preparing the thermal efficiency index for the cogeneration system separately from gas and kerosene does not directly consume fuel such as gas or kerosene, but rather uses the exhaust heat energy supplied from the cogeneration system. This is because it is reused. Of course, the cogeneration system itself consumes fuel such as gas. Therefore, when it is desired to calculate the energy consumption amount of the cogeneration system itself, the first consumption model or the second consumption model for the cogeneration system is stored in advance in the first consumption model database 10a or the second consumption model database 10b. Just keep it.

  Returning to FIG. 13, after the second prediction information is calculated, the image extraction unit 28 extracts spatial image information, device image information, and user image information based on the input usage information and installation information (step S20, image extraction step). Finally, the output unit 30 generates and outputs an output image based on the calculated first prediction information and second prediction information, and the extracted spatial image information, device image information, and user image information ( Step S22, output step).

  As described above, according to the present embodiment, since the operation status of the device is estimated based on the installation location of the device and the life pattern information corresponding to the user of the location, the first prediction information is also the life of the device. The pattern information is reflected. The second prediction information reflects the user who uses the device. Generally, the amount of energy consumed by a device varies depending on the installation location and the usage time of the location, or varies depending on the attributes and number of users who use the device. Therefore, by introducing a calculation method based on the installation location, the usage time of the location, and the user of the location, the energy consumption amount and the energy fee of the device can be calculated with high accuracy.

  In addition, according to the present embodiment, the estimated charge and the corrected energy consumption are calculated based on the energy type information, so the user can output the energy consumption and the energy charge according to the energy to be used for the output image. Can be confirmed. Furthermore, since the calculation results are output together with images corresponding to the input spatial information, user information, device information, and energy type information, the user can easily understand the calculation results and compare and examine the devices and energy used. Can be performed more easily.

  Moreover, according to this embodiment, since life pattern information is extracted and received based on the input installation information and use information, the user of the energy consumption calculation system 1 can obtain the calculation result without inputting the life pattern information. I can confirm.

  In addition, according to the present embodiment, a first consumption model that further includes a region where the installation location of the device exists and a time is provided, and the first prediction information is calculated in consideration of the region and the time. Depending on the equipment, the amount of energy consumed within a certain period of time may vary depending on the local environment and operating period. Therefore, by introducing a calculation method based on the region and time, it is possible to calculate the energy consumption and energy charge of the device with higher accuracy.

  The present invention has been described in detail based on the embodiments. However, the present invention is not limited to the above embodiment. The present invention can be modified in various ways as described below without departing from the scope of the invention.

  In the said embodiment, although the life pattern extraction part 20 extracted the life pattern information, you may comprise the energy consumption system 1 so that the user of the energy consumption system 1 inputs life pattern information directly. In this case, the energy consumption system 1 includes a life pattern reception unit (not shown) that receives input of life pattern information instead of the life pattern extraction unit 20. The life pattern reception unit outputs the received life pattern information to the operation status estimation unit 22. Furthermore, the energy consumption system 1 may be configured so that the user can select whether to directly input life pattern information or to extract life pattern information using the life pattern database 10c.

  Moreover, in the said embodiment, although the 1st consumption model in which apparatus information, energy classification information, space information, area information, time information, and consumption information were linked | related was used, the structure of a 1st consumption model is not limited to this. For example, a first consumption model in which only device information, energy type information, space information, and consumption information are associated may be used.

  Moreover, in the said embodiment, although energy consumption was used as 1st and 2nd consumption information, a unit charge is good also as 1st and 2nd consumption information.

  Moreover, in the said embodiment, although the 2nd calculation part 26 calculated correction | amendment energy consumption using the thermal efficiency index | exponent, the 1st calculation part 24 may calculate correction | amendment energy consumption similarly.

  The hardware configuration of the energy consumption system 1 is not limited. For example, the energy consuming system 1 may be configured by a single computer or a client server type system.

It is a figure which shows the function structure of the energy consumption system which concerns on embodiment. It is a figure which shows the example of a 1st consumption model. It is a figure which shows the example of a 1st consumption model, (a) is a consumption model which abbreviate | omitted area information and time information, (b) is a consumption model which also abbreviate | omitted spatial information further. It is a figure which shows the example of a 2nd consumption model. It is a figure which shows the example of life pattern information. It is an example of user image information. It is an example of apparatus image information. It is an example of space image information. It is a Gantt chart of the life pattern information shown in FIG. It is a figure which shows the example of installation information. It is a figure which shows the example of operation estimation information. It is a figure which shows the example of the image for an output. It is a flowchart which shows the process of the energy consumption system shown in FIG. It is a flowchart which shows the detail of the 2nd prediction information calculation process shown in FIG.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Energy consumption system, 10a ... 1st consumption model database, 10b ... 2nd consumption model database, 10c ... Life pattern database, 10d ... Image database, 12 ... Usage information reception part (use information reception means), 14 ... Installation information Reception unit (installation information reception unit), 16 ... Regional information reception unit (Regional information reception unit), 18 ... Time information reception unit (Time information reception unit), 20 ... Life pattern extraction unit (Life pattern reception unit), 22 ... Operational state estimation unit (operational state estimation unit), 24 ... first calculation unit (first calculation unit), 26 ... second calculation unit (second calculation unit), 28 ... image extraction unit (image extraction unit), 30 ... Output unit (output means).

Claims (5)

An energy consumption calculation system for calculating information on energy consumption of equipment,
Device information indicating a device, energy type information indicating a type of energy consumed by the device, space information indicating a space in which the device is installed, and first consumption information regarding energy consumption of the device in the space A first consumption model database for storing an associated first consumption model;
The device information, the energy type information, the user information indicating the user who uses the device indicated by the device information, and the energy consumption when the user uses the device indicated by the device information. A second consumption model database storing a second consumption model associated with the two consumption information;
User image information in which the user information is associated with the user image data indicated by the user information, the device information, the energy type information, and the image data of the device indicated by the device information. Device image information, and an image database storing spatial image information in which the spatial information is associated with image data of the space indicated by the spatial information,
Installation information receiving means for receiving input of installation information in which the device information, the energy type information, and the spatial information to be calculated are associated;
Usage information receiving means for receiving input of usage information in which the device information, the energy type information, and the user information of the calculation target are associated;
Life pattern reception means for receiving input of life pattern information in which the space information, the user information, and the use time of the space indicated by the space information by the user indicated by the user information are associated;
Based on the installation information received by the installation information reception means and the life pattern information received by the life pattern reception means, an operation status estimation means for estimating the operation status of the device;
A first calculation for calculating first prediction information related to energy consumption in the operating status based on the operating status estimated by the operating status estimating means and the first consumption model stored in the first consumption model database. Means,
A second consumption model corresponding to the usage information received by the usage information receiving means is extracted from the second consumption model database, and second prediction information related to energy consumption for the usage information is extracted based on the extracted second consumption model. Second calculating means for calculating;
Spatial image information including spatial information included in the installation information received by the installation information receiving unit, user image information including user information included in the usage information received from the use information receiving unit, and the installation Image extraction means for extracting device image information including device information and energy type information included in the information, and device image information including device information and energy type information included in the use information, from the image database;
First prediction information calculated by the first calculation means, second prediction information calculated by the second calculation means, spatial image information, user image information, and device image information extracted by the image extraction means Generating an output image based on the output and outputting the output image;
An energy consumption calculation system comprising: A life pattern database for storing the life pattern information;
The life pattern receiving means includes life pattern information including spatial information included in the installation information received by the installation information receiving means and user information included in the use information received by the use information receiving means. Extract from the life pattern database and accept the extracted life pattern information,
The energy consumption calculation system according to claim 1. Area information accepting means for accepting input of area information indicating the area where the space exists, the calculation target;
Time information receiving means for receiving time information indicating the time of the calculation target;
Further comprising
The first consumption model is a region indicated by the device information, the energy type information, the spatial information, regional information indicating a region where the space exists, time information indicating a time, and the region information. Is a model associated with the first consumption information at the time indicated by the time information,
The first calculation means is based on the operation status, the area information received by the area information receiving means, the time information received by the time information receiving means, and the first consumption model. Calculate forecast information,
The energy consumption calculation system according to claim 1 or 2. The first prediction information is a fee charged based on energy consumption in the operating situation,
The second prediction information is a fee charged based on energy consumption for the usage information received by the usage information receiving means.
The energy consumption calculation system according to any one of claims 1 to 3. Device information indicating a device, energy type information indicating a type of energy consumed by the device, space information indicating a space in which the device is installed, and first consumption information regarding energy consumption of the device in the space A first consumption model database storing the associated first consumption model, the device information, the energy type information, user information indicating a user who uses the device indicated by the device information, and the user A second consumption model database storing a second consumption model associated with second consumption information related to energy consumption when the device indicated by the device information is used, and indicated by the user information and the user information. User image information associated with the user image data to be displayed, the device information, the energy type information, and the device image indicated by the device information Device image information associated with the data, and an image database storing spatial image information associated with the spatial information and the image data of the space indicated by the spatial information, and information regarding energy consumption of the device An energy consumption calculation method in an energy consumption calculation system for calculating,
An installation information receiving step for receiving an input of installation information in which the device information, the energy type information, and the spatial information to be calculated are associated;
A usage information reception step for receiving input of usage information in which the device information, the energy type information, and the user information of the calculation target are associated;
A life pattern reception step for receiving an input of life pattern information in which the space information, the user information, and the use time of the space indicated by the space information by the user indicated by the user information are associated;
Based on the installation information received in the installation information reception step and the life pattern information received in the life pattern reception step, an operation status estimation step for estimating the operation status of the device;
A first calculation for calculating first prediction information related to energy consumption in the operating status based on the operating status estimated in the operating status estimating step and the first consumption model stored in the first consumption model database. Steps,
A second consumption model corresponding to the usage information received in the usage information receiving step is extracted from the second consumption model database, and second prediction information related to energy consumption for the usage information is extracted based on the extracted second consumption model. A second calculating step for calculating;
Spatial image information including spatial information included in the installation information received in the installation information reception step, user image information including user information included in the usage information received in the use information reception step, and the installation An image extraction step of extracting device image information including device information and energy type information included in the information and device image information including device information and energy type information included in the use information from the image database;
First prediction information calculated in the first calculation step, second prediction information calculated in the second calculation step, spatial image information, user image information, and device image information extracted in the image extraction step Generating an output image based on the output step, and outputting the output image;
An energy consumption calculation method comprising:

Images