Information Processing Method, Information Processing Apparatus, and Program

Abstract

This building evaluation method evaluates a space in a building by a plurality of evaluation items used for a predetermined building certification. The building evaluation method includes: an analysis step (S103) in which, using a feature quantity of the space which is set for a first evaluation item and of which a change in the numercal value causes a change in the evaluation value in the first evaluation item, a thermal fluid analysis of the space is performed with respect to each of two or more conditions in which the feature quantity has mutually different numerical values; a calculation step (S108) for calculating, on the basis of the result of the thermal fluid analysis, a correlation coefficient of the evaluation value in each of second evaluation items with respect to the feature quantity; and an output step (S109) for identifying and outputting, among the second evaluation items, a correlation evaluation item in which the calculated correlation coefficient satisfies a predetermined condition, the plurality of evaluation items being the first evaluation item and the second evaluation items.

Description

Technical Field

[0001] The present disclosure relates to a building evaluation method, a building evaluation apparatus, and a program.

Background Art

[0002] Conventionally, technologies related to the evaluation of buildings such as houses have been proposed. For example, Patent Document 1 discloses a building evaluation method in which sensors are installed at various locations in a building and the building is evaluated using information obtained from these sensors.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

[0004] In the evaluation of a building by the above building evaluation method or the like, there are cases where information useful for the design of the building based on the evaluation cannot be provided. Therefore, in view of the above, the present disclosure provides a building evaluation method capable of providing more useful information.

[0005] According to one aspect of the present disclosure Information processing method( A building evaluation method ) is a building evaluation method for evaluating a space in a building by a plurality of evaluation items used for a predetermined building certification, and is a feature amount of the space set for a first evaluation item, and is a feature amount in which an evaluation value in the first evaluation item changes due to a change in a numerical value. Using the feature amount, in each of two or more conditions in which the feature amounts have different numerical values from each other, an analysis step of performing a thermal fluid analysis of the space, and based on the result of the thermal fluid analysis, an evaluation value in each of a second evaluation item is calculated. A calculation step of calculating a correlation coefficient with respect to the feature amount, wherein the plurality of evaluation items are the first evaluation item and the second evaluation item, and an output step of specifying and outputting a correlation evaluation item in which the calculated correlation coefficient satisfies a predetermined condition from among the second evaluation items.

[0006] According to one aspect of the present disclosure Information processing apparatus( a building evaluation device ) is a building evaluation device that evaluates a space in a building based on a plurality of evaluation items used for a predetermined building certification. The building evaluation device uses a feature amount of the space set for a first evaluation item, and the feature amount is such that the evaluation value in the first evaluation item changes due to a change in a numerical value. The building evaluation device includes an analysis unit that performs a thermal fluid analysis of the space for each of two or more conditions in which the feature amounts have different numerical values, a calculation unit that calculates a correlation coefficient of an evaluation value in each of a second evaluation item with respect to the feature amount based on the result of the thermal fluid analysis, and an output unit that specifies and outputs a correlation evaluation item in which the calculated correlation coefficient satisfies a predetermined condition from among the plurality of evaluation items, where the plurality of evaluation items include the first evaluation item and the second evaluation item.

[0007] One aspect of the present disclosure can also be realized as a program for causing a computer to execute the above-described building evaluation method.

[0008] These general or specific aspects may be implemented in a system, an integrated circuit, or a computer-readable recording medium, or may be implemented in any combination of a device, a method, a system, an integrated circuit, a computer program, and a recording medium. The computer-readable recording medium includes, for example, a non-volatile recording medium such as a CD-ROM (Compact Disc-Read Only Memory).

[0009] In the building evaluation method and the like according to one aspect of the present disclosure, more useful information can be provided. Further advantages and effects in one aspect of the present disclosure will be clarified from the specification and the drawings. Such advantages and / or effects are provided by some embodiments and the features described in the specification and the drawings, respectively, but it is not necessarily required that all of them be provided in order to obtain one or more of the same features.

Brief Description of the Drawings

[0010]

Figure 1

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MODE FOR CARRYING OUT THE INVENTION

[0011] (Knowledge underlying the disclosure) In recent years, a building certification system called the WELL Building Standard (registered trademark, hereinafter also referred to as WELL certification) has attracted attention. WELL certification is one of the building certification systems that evaluates a building based on a plurality of evaluation items from a plurality of viewpoints including the viewpoints of human health, wellness, comfort, etc. in addition to the viewpoints of design, construction, and operation. WELL certification is also rapidly spreading in the home country.

[0012] In WELL certification, the evaluation of a building is carried out by evaluating the spaces within the building. The number of evaluation items in WELL certification reaches 100 or more. In the revised version of WELL certification implemented on May 31, 2018 (hereinafter referred to as WELL v2, or simply WELL certification without distinction from the pre-revised WELL certification in some cases), each evaluation item is classified into 10 categories: air, water, nutrition, light, movement, thermal environment, sound, materials, mind, and community. In WELL certification, multiple evaluation items are set for each of these categories. Among them, for some categories such as air, light, and thermal environment, reference values are provided so that the achievement of the main evaluation items can be evaluated numerically.

[0013] For example, in WELL certification, each evaluation item is classified into a mandatory item and a point-awarding item. Mandatory items are those that must be achieved in the certification. Point-awarding items are those that do not have to be achieved (i.e., non-mandatory items). However, in WELL certification, it is necessary to selectively achieve multiple optional evaluation items from among the point-awarding items. That is, point-awarding items are used for awarding points for a building to obtain certification. In WELL certification, the more point-awarding items a building achieves, the higher-grade certification it can obtain.

[0014] In building certification consisting of multiple evaluation items including WELL certification, in order to evaluate a building, operators have carried out environmental measurements at each measurement point with measuring instruments. A method has also been developed to install sensors at multiple measurement points of a building, obtain the results of environmental measurements from multiple sensors, and conduct building evaluation (see Patent Document 1).

[0015] However, in a method based on such measurements in the real space, the evaluation for building certification can only be performed after the building is constructed. If a fatal non - achievement of the evaluation items is discovered, it is assumed that the reconstruction or the like to address this will become large - scale. Therefore, in the present disclosure, paying attention to the increase in available computing resources such as cloud systems and distributed computing that have attracted attention in recent years, a method is used in which a plurality of certification evaluation items are evaluated by numerical analysis using a computer - aided engineering (CAE) system or the like.

[0016] By clarifying the correlation relationship between each evaluation item in conjunction with the numerical analysis, a building evaluation method and the like that can provide more useful information including the correlation relationship between evaluation items, etc. before the construction (design stage) of the building will be described.

[0017] (Summary of the Disclosure) A building evaluation method according to an aspect of the present disclosure is a building evaluation method for evaluating a space in a building by a plurality of evaluation items used for a predetermined building certification, and is a feature amount of a space set for a first evaluation item, a feature amount in which the evaluation value in the first evaluation item changes due to a numerical change. Using this feature amount, in each of two or more conditions in which the feature amounts have different numerical values, an analysis step of performing a thermal - fluid analysis of the space, a calculation step of calculating a correlation coefficient of the evaluation value in each of the second evaluation items with respect to the feature amount based on the result of the thermal - fluid analysis, the plurality of evaluation items being the first evaluation item and the second evaluation item, and an output step of identifying and outputting a correlation evaluation item in which the calculated correlation coefficient satisfies a predetermined condition from among the second evaluation items.

[0018] In such a building evaluation method, among a plurality of evaluation items, an evaluation item that changes in conjunction with a change in the evaluation value in the first evaluation item can be specified as a correlation evaluation item. For example, for the first evaluation item, when the feature amount is changed for the purpose of improving the evaluation value, in the second evaluation item, an evaluation item that decreases due to the change in the evaluation value can be specified. Such information is important when tuning evaluation items in an antinomic relationship to determine the optimal value of the feature amount. Therefore, when tuning evaluation items to search for an optimal feature amount, more useful information can be provided.

[0019] For example, in a predetermined building certification, each of the plurality of evaluation items is classified into an essential item that is an evaluation item essential for a building to obtain certification, or a non-essential item that is an evaluation item not essential for a building to obtain certification. In the output step, among the specified correlation evaluation items, the output priority of the correlation evaluation item corresponding to the essential item is determined to be higher than the output priority of the correlation evaluation item corresponding to the non-essential item, and the correlation evaluation items are output according to the determined output priority.

[0020] According to this, in building certification, overlooking due to output omission can be suppressed for essential items that are in a more important position. Therefore, more useful information can be provided.

[0021] For example, the building evaluation method further includes a display step of displaying the output correlation evaluation items in a manner according to the magnitude of the calculated correlation coefficient.

[0022] According to this, the output correlation evaluation items can be visually confirmed. Therefore, more useful information can be provided.

[0023] For example, the predetermined condition is that the absolute value of the calculated correlation coefficient is greater than a threshold value.

[0024] According to this, it is possible to specify evaluation items with the absolute value of the correlation coefficient greater than the threshold value as correlation evaluation items. Therefore, more useful information can be provided.

[0025] For example, the predetermined condition is that in the descending order of the absolute value of the calculated correlation coefficient, it is included in a predetermined number of evaluation items sequentially selected from the evaluation item with the largest absolute value.

[0026] According to this, it is possible to specify evaluation items included in a predetermined number of evaluation items sequentially selected from the evaluation item with the largest absolute value in the descending order of the absolute value of the calculated correlation coefficient as correlation evaluation items. Therefore, more useful information can be provided.

[0027] For example, in the output step, information regarding the feature amount is output together with the correlation evaluation items.

[0028] According to this, it is possible to display information that allows the feature amount set for one evaluation item to be visually recognized simultaneously with the correlation evaluation item. Therefore, more useful information can be provided.

[0029] For example, in the calculation step, furthermore, the dependence of the evaluation value of the first evaluation item on the feature amount is determined based on the result of the thermal fluid analysis, and in the output step, the reference value that is the criterion for achieving the first evaluation item provided for the first evaluation item, which is the target value of the value of the feature amount required for the evaluation value of the first evaluation item to satisfy, and the relative relationship with the current value that is the value of the feature amount under the current conditions are output as information regarding the feature amount.

[0030] According to this, it is possible to visually display how to change the current value of the feature amount to achieve the target value for achieving the first evaluation item. Therefore, more useful information can be provided.

[0031] For example, each of a plurality of evaluation items consists of two or more sub-evaluation items each provided with a sub-reference value, and when all of the sub-reference values of the two or more sub-evaluation items are satisfied by the evaluation value in the evaluation item, the reference value is satisfied, and the target value is calculated based on the determined dependency using the sub-reference value with the largest difference from the current value among the two or more sub-reference values.

[0032] According to this, when the target value of the evaluation item is achieved, it is possible to avoid a situation where the sub-evaluation item is not achieved and the acquisition of certification cannot be substantially obtained.

[0033] For example, in the building evaluation method, a predetermined building certification is the WELL Building Standard (registered trademark).

[0034] According to this, it is possible to provide information for assisting in obtaining WELL certification using the building evaluation method of the present disclosure. Therefore, more useful information can be provided.

[0035] A program according to one aspect of the present disclosure is a program for causing a computer to execute the building evaluation method described in any one of the above items.

[0036] According to this, using a computer, the same effects as the above-described building evaluation method can be achieved.

[0037] A building evaluation device according to an aspect of the present disclosure is a building evaluation device that evaluates a space in a building based on a plurality of evaluation items used for a predetermined building certification. The building evaluation device includes: an analysis unit that performs a thermal fluid analysis of the space under each of two or more conditions in which characteristic quantities are different numerical values, using a characteristic quantity of the space set for a first evaluation item, the characteristic quantity being such that an evaluation value for the first evaluation item changes due to a change in a numerical value; a calculation unit that calculates a correlation coefficient of an evaluation value for each of second evaluation items with respect to the characteristic quantity based on a result of the thermal fluid analysis; and an output unit that specifies and outputs a correlation evaluation item in which the calculated correlation coefficient satisfies a predetermined condition from among the second evaluation items. The plurality of evaluation items include the first evaluation item and the second evaluation item.

[0038] According to this, the same effects as those of the above-described building evaluation method can be obtained.

[0039] Hereinafter, embodiments will be specifically described with reference to the drawings.

[0040] Note that each of the embodiments described below shows general or specific examples. Numerical values, shapes, materials, components, arrangement positions and connection forms of the components, steps, order of steps, etc. shown in the following embodiments are merely examples and are not intended to limit the scope of the claims. Each drawing is not necessarily drawn precisely. In each drawing, substantially the same components are denoted by the same reference numerals, and redundant descriptions may be omitted or simplified.

[0041] Hereinafter, terms indicating relationships between elements such as parallel and perpendicular, terms indicating shapes of elements such as rectangular, and numerical ranges do not represent strict meanings, but rather mean substantially equivalent ranges, for example, differences of about several percent.

[0042] Hereinafter, embodiments will be specifically described with reference to the drawings. Note that all the embodiments described below show comprehensive or specific examples. The numerical values, shapes, materials, components, arrangement positions and connection forms of the components, steps, order of steps, etc. shown in the following embodiments are merely examples and are not intended to limit the present disclosure. Among the components in the following embodiments, the components not described in the independent claims are described as optional components.

[0043] Note that each figure is a schematic diagram and is not necessarily drawn precisely. In each figure, the same reference numerals are given to substantially the same configurations, and redundant descriptions may be omitted or simplified.

[0044] (Embodiment) [Configuration] First, an example of using the building evaluation device in the present embodiment will be described. FIG. 1 is a schematic diagram showing an example of using the building evaluation device in the embodiment. In FIG. 1, a building evaluation device 100 and a terminal device 200 used by being connected to the building are shown.

[0045] In the present embodiment, the building evaluation device 100 is realized, for example, by being mounted on a cloud server. The user 99 uses the building evaluation device 100 by accessing the building evaluation device 100 via the terminal device 200, for example. The terminal device 200 is a portable device such as a smartphone, a tablet terminal, and a PC, and is carried by the user 99. The user 99 is, for example, a consultant who gives advice on the design of a building that can obtain WELL certification. The user 99 gives advice such as modifying the design of the building that the donor or the like wants to build into a design that can obtain WELL certification or presenting guidelines for the modification through consultations from the donor or the like of the building. The user 99 obtains the basic data related to the building from the donor or the like and modifies the design of the building that can obtain WELL certification based on this basic data.

[0046] For example, user 99 acquires 3D CAD (Computer-Aided Design) data indicating information such as the structure of a building from a donor or the like, and transmits the CAD data to the building evaluation device 100 via the terminal device 200. The user 99 receives and displays the information output from the building evaluation device 100 on the terminal device 200, and makes proposals regarding the correction of the CAD data or the correction policy of the building to the donor or the like. In this way, prior to the construction of the building, communication can be carried out between the user 99 and the donor or the like, and a design of a building for which WELL certification can be obtained can be created. In WELL certification or the like, evaluation is performed based on the performance of equipment such as air conditioning equipment and humidity and heat equipment provided in the building, and thus the basic data includes information regarding these equipment. In the present embodiment, the user 99 acquires BIM (Building Information Modeling) data as information that can include both 3D CAD data and numerical data such as the arrangement positions and performance of equipment and the like.

[0047] Such an embodiment is an example. For example, the building evaluation device 100 may be realized as a web service, and a configuration may be such that an individual user 99 accesses the building evaluation device 100 via his or her own terminal device 200 to create a design of a building for which an individual can obtain WELL certification. The building evaluation device 100 may be operated without going through the terminal device 200. For example, by mounting a part of the functions of the terminal device 200 on a device such as a computer that realizes the building evaluation device 100, the building evaluation device 100 can also be realized as a single device. In this way, the building evaluation device 100 may be realized by a plurality of devices each having a part of the functions, or may be realized by a single device having all the functions.

[0048] Next, with reference to FIG. 2, the functional configuration of the building evaluation device 100 and the like will be described in detail. FIG. 2 is a block diagram showing the functional configuration of a system including the building evaluation device in the embodiment. In FIG. 2, as in FIG. 1, the building evaluation device 100 and the terminal device 200 connected to and used for the building are illustrated.

[0049] In this embodiment, the building evaluation device 100 and the terminal device 200 are communicably connected via the network 30. The network 30 may be any communication network that realizes a communicable connection, and there are no particular limitations on the communication method and the wired or wireless communication mode.

[0050] The building evaluation device 100 in this embodiment is a device that evaluates the space inside a building based on a plurality of evaluation items used for a predetermined building certification. Hereinafter, the predetermined building certification will be described as the WELL certification described above. However, the content of the present disclosure can be applied to any building certification consisting of a plurality of evaluation items such as LEED (registered trademark) certification and CASBEE (registered trademark) certification. The building evaluation device 100 includes a storage unit 11, a communication unit 13, and a control unit 15. The control unit 15 includes an analysis unit 17, a calculation unit 18, and an output unit 19.

[0051] The storage unit 11 is a storage device that stores various types of information used in the operation of the building evaluation device 100. The storage unit 11 is realized by a semiconductor memory, a magnetic storage device, an optical storage device, or the like.

[0052] The communication unit 13 is a communication module that transmits and receives various types of information to and from external devices such as the terminal device 200 via communication for the building evaluation device 100. For example, the communication unit 13 outputs and transmits an image as information to be displayed on the terminal device 200. The image is received by the terminal device 200 via the network 30 and is displayed on a terminal display unit 29 or the like of the terminal device 200 described later.

[0053] The control unit 15 is a functional unit that performs information processing in the building evaluation device 100. The control unit 15 is realized by executing a predetermined program related to each information processing using a processor, a memory, and the like.

[0054] The analysis unit 17 is realized by executing, by the control unit 15, a program related to the information processing by the analysis unit 17. The analysis unit 17 performs a thermal fluid analysis in the space of a building that is the object of evaluation. For this purpose, BIM data of the building is provided to the analysis unit 17. The analysis unit 17 performs a thermal fluid analysis of the space inside the building in accordance with the set analysis conditions based on the BIM data. By performing the thermal fluid analysis by the analysis unit 17, the evaluation values under the set analysis conditions in each of the evaluation items in the WELL certification can be obtained.

[0055] As the analysis conditions in the thermal fluid analysis, various parameters are included such as boundary conditions set for entrances, ventilation openings, windows, etc. arranged at predetermined positions in the space, the opening and closing states of doors and sashes that partition the entrances and windows, the ventilation flow rate from the ventilation openings, the operation settings of facilities such as air conditioning equipment, the CO2 generation amount based on the breathing volume at the maximum number of people in activity in the space, radiant heat from the sun and artificial light, etc., and numerical values, etc. are set for each of them. These numerical values, etc. may use the numerical values incorporated in the BIM data, or may use the values corrected by the user 99, etc. For example, when the user 99 does not make corrections in particular, the doors and sashes are in the closed state, the ventilation flow rate is 0.3 ACH (Air Change per Hour), and the operation settings of the air conditioning equipment planned to be installed, etc. are set as the analysis conditions.

[0056] In the evaluation items based on the substance concentration, etc. included in the evaluation items in the WELL certification, assumed values generally assumed as the initial values of the substance concentration are used. However, when the building evaluation apparatus 100 is used for the purpose of creating a design that can obtain the WELL certification by remodeling the building after construction, the measured values measured in the actual space inside the building may be used.

[0057] For thermal fluid analysis, algorithms such as the Navier-Stokes equations based on the finite element or finite volume method may be used, or algorithms with high affinity for parallel computing such as the lattice Boltzmann method may be used. If the lattice Boltzmann method is used as the algorithm for thermal fluid analysis, when the computer used is a multi-core or many-core processor, there is an advantage that the calculation time can be significantly shortened by using parallel computing. Since thermal fluid analysis is a process involving a huge amount of calculations, in consideration of the speedup of calculations and calculation accuracy, etc., the analysis range (that is, the target space) such as one room, one floor, or one building may be set according to the available computing resources in the building evaluation device 100 and performed.

[0058] The calculation unit 18 is realized by a program related to the information processing by the calculation unit 18 being executed by the control unit 15. The calculation unit 18 performs calculations regarding the correlation between a plurality of evaluation items.

[0059] Specifically, for each of the evaluation items, an amount determined from the parameters of the analysis conditions that can be controlled by changing the evaluation value in the evaluation item and by design changes, equipment changes, and renovations, etc. within the building is set in advance as the characteristic quantity of the space. That is, in the evaluation item, the evaluation value changes by changing the characteristic quantity of the space set for the evaluation item. The characteristic quantity may be, for example, an amount obtained by calculating a plurality of parameters, or the parameter itself may be used when appropriate depending on the evaluation item.

[0060] Here, the characteristic quantity does not only affect one evaluation item, but can affect a plurality of evaluation items in a complex manner. Therefore, when the value of the characteristic quantity is changed to improve the evaluation value of a certain evaluation item, the evaluation value of another evaluation item may decrease due to this change. Therefore, by clarifying the correlation coefficient between another evaluation item and the changed characteristic quantity, the strength of the correlation between one evaluation item and another evaluation item can be quantified.

[0061] In the present embodiment, as described above, the building evaluation apparatus 100 can provide information for determining a feature amount to be changed by clarifying another evaluation item that has a strong correlation with a certain evaluation item.

[0062] The output unit 19 is realized by the control unit 15 executing a program related to information processing by the output unit 19. The output unit 19 specifies an evaluation item whose calculated correlation coefficient satisfies a predetermined condition as a correlation evaluation item, and outputs it to an external device via the communication unit 13.

[0063] First, the output unit 19 acquires information regarding an evaluation item that the user 99 wants to focus on from the user 99. The output unit 19 specifies an evaluation item that satisfies a predetermined condition for the evaluation item that the user 99 wants to focus on. The predetermined condition is, for example, that the absolute value of the calculated correlation coefficient is greater than a threshold value. Thereby, another evaluation item showing a relatively large correlation with a correlation coefficient equal to or greater than the threshold value can be specified. The predetermined condition may be, for example, that it is included in a predetermined number of correlation evaluation items selected in order from the correlation evaluation item having the largest absolute value in the descending order of the absolute value of the calculated correlation coefficient. Thereby, another evaluation item can be specified in order from the one with a large correlation coefficient. It is possible to specify and output only a predetermined number.

[0064] In WELL certification, since it is essential to achieve the mandatory items, such mandatory items may be output with priority. For example, the output unit 19 determines that the output priority of the correlation evaluation item corresponding to the mandatory item among the specified evaluation items is higher than the output priority of the correlation evaluation item corresponding to the non-mandatory item, and outputs the correlation evaluation item according to the determined output priority. Thereby, for the evaluation item that the user 99 focuses on, it is possible to output the one corresponding to the mandatory item among the evaluation items with a large correlation. Since the user 99 can select a feature amount to be changed while confirming the mandatory item associated with the evaluation item to be focused on, it is possible to create a design that can more appropriately obtain WELL certification. That is, the building evaluation apparatus 100 can provide more useful information.

[0065] The terminal device 200 includes a terminal storage unit 21, a terminal communication unit 23, a terminal control unit 25, a terminal input unit 27, and a terminal display unit 29.

[0066] The terminal storage unit 21 is a storage device that stores various types of information used in the operation of the terminal device 200. The terminal storage unit 21 is realized by a semiconductor memory, a magnetic storage device, an optical storage device, and the like.

[0067] The terminal communication unit 23 is a communication module that transmits and receives various types of information via communication between the terminal device 200 and an external device such as the building evaluation device 100. For example, the terminal communication unit 23 transmits the BIM data of the building input from the terminal input unit 27 described later to the building evaluation device 100 via the network 30.

[0068] The terminal control unit 25 is a functional unit that performs information processing in the terminal device 200. The terminal control unit 25 is realized by executing a predetermined program related to each information processing using a processor, a memory, and the like.

[0069] The terminal input unit 27 is a communication port for inputting information to the terminal device 200 by the user 99. The terminal input unit 27 forms a socket, and by connecting an information device having a plug to the socket, the information stored in the information device is acquired. For example, by connecting an information device owned by a client or the like in which BIM data is stored, the BIM data of the client or the like can be acquired by the user 99's terminal device 200. The BIM data acquired by the terminal input unit 27 is transmitted to the building evaluation device 100 via the terminal communication unit 23.

[0070] The terminal display unit 29 is a display device having a display panel composed of an LED, an organic EL, a liquid crystal, or the like. The terminal display unit 29 can display the operation status of the terminal device 200 and the like, and can also display an image or the like acquired from the building evaluation device 100.

[0071] [Operation] Next, the operation of the building evaluation device 100 described above will be described with reference to FIGS. 3 to 8. FIG. 3 is a flowchart showing the operation of a system including the building evaluation device according to the embodiment. Here, it will be described in a state where the evaluation items that the user 99 is interested in are set. That is, the operation of the building evaluation device 100 to analyze and collect the correlation of another evaluation item with respect to the set evaluation item, and output another evaluation item whose correlation satisfies a predetermined condition will be described.

[0072] First, via the terminal device 200, the building evaluation device 100 acquires BIM data (step S101). The analysis unit 17 sets the analysis conditions to the first conditions (step S102), and based on the acquired BIM data, performs a thermal fluid analysis of the target space (analysis step S103).

[0073] The analysis unit 17 calculates the numerical values of the feature quantities under the set analysis conditions (step S104). The numerical values of the feature quantities are calculated using the values of each parameter. The analysis unit 17 comprehensively calculates the evaluation values of another evaluation item under the set analysis conditions (step S105).

[0074] Here, the analysis unit 17 determines whether all the analyses under the predetermined analysis conditions have been performed (step S106). The predetermined analysis conditions are determined by whether a set of the feature quantities and the evaluation values of another evaluation item have been obtained by a preset number of sets. If a part of the analysis under the predetermined analysis conditions has not been performed (No in step S106), the analysis conditions are changed (step S107), and the analysis is restarted from step S103.

[0075] Here, the change in the analysis conditions in step S107 means changing to analysis conditions with different numerical values of feature quantities from the original analysis conditions. That is, by repeating steps S102 to S107, a dataset of evaluation values for each of the other evaluation items for different numerical values of a plurality of different feature quantities is created. According to this dataset, the correlation coefficient between the feature quantity set for the evaluation item that user 99 focuses on and each of the evaluation values of the other evaluation items is calculated. Therefore, the preset number of sets set for the predetermined analysis conditions is set to the number of datasets that can ensure the accuracy of the correlation coefficient.

[0076] When all the analyses under the predetermined analysis conditions have been performed (Yes in step S106), the calculation unit 18 calculates the correlation coefficient of the evaluation value of each evaluation item with respect to the feature quantity (calculation step S108). FIG. 4 is a diagram showing an example of the calculation method of the correlation coefficient calculated in the embodiment. FIG. 4 is a graph plotting the evaluation values of "individual temperature control" (Comfort82) in comfort category 82, which has a relatively large correlation coefficient with the ventilation capacity, with the ventilation capacity, which is the feature quantity of "efficient ventilation" (Air03) in air category 03, being the evaluation item that user 99 focuses on, on the horizontal axis.

[0077] As shown in FIG. 4, as the ventilation capacity, which is the feature quantity of Air03, increases, an increase in the evaluation value is observed in Air03. That is, it can be seen that improving the ventilation capacity increases the evaluation of Air03. On the other hand, as the ventilation capacity, which is the feature quantity of Air03, increases, a decrease in the evaluation value is observed in Comfort82. That is, it can be seen that improving the ventilation capacity decreases the evaluation of Comfort82. From this, it can be seen that there is an antinomy in the feature quantity of the ventilation capacity between the evaluation items of Air03 and Comfort82.

[0078] Referring to FIG. 3 again, the output unit 19 then identifies, from among other evaluation items, the evaluation items for which the correlation coefficient calculated by the calculation unit 18 satisfies a predetermined condition (step S109). The output unit 19 outputs information indicating the identified evaluation items via the communication unit 13 (output step S110). The output information is received by the terminal device 200 by the terminal communication unit 23 and displayed on the terminal display unit 29 (display step S110). An example of this display is shown in FIG. 5. FIG. 5 is the first figure illustrating the information output in the embodiment. FIG. 5 shows an example in which the top three evaluation items with large correlation coefficients are identified. As shown in FIG. 5, on the terminal display unit 29 of the terminal device 200, different information is displayed in each of the four areas where the display surface is divided into areas A1 to A4. Note that the dashed line dividing the areas is shown for convenience and is not actually displayed.

[0079] For example, in area A1, the name and achievement conditions of the evaluation item being focused on are displayed. In the example of FIG. 5, it is displayed that the evaluation item being focused on is "Air Quality Standard" (Air01) of air category No. 01, and the achievement condition is "Particulate matter is XX [ppm] or less".

[0080] In area A2, an illustration related to Air01 of the evaluation item being focused on is displayed.

[0081] In area A3, information regarding the feature amount is displayed. Although not shown, based on the result of the thermal fluid analysis, the calculation unit 18 has previously calculated the dependency of Air01 on the feature amount of the evaluation value (that is, the approximate line of the evaluation value with respect to the feature amount). A graph of the relative relationship between the target value, which is the reference value for achieving Air01, provided for the Air01 being focused on and calculated using this dependency, and the current value, which is the value of the feature amount under the current conditions, is shown.

[0082] Air01 consists of three sub-evaluation items each provided with a sub-reference value. The reference value is satisfied when all of the sub-reference values of the three sub-evaluation items are satisfied by the evaluation value in Air01. Therefore, the above-mentioned target value is set based on the sub-reference value with the largest difference from the current value among the three sub-reference values. This can avoid a situation where the sub-evaluation items are not achieved and the acquisition of certification cannot be substantially obtained when the target value of the evaluation item is achieved.

[0083] In area A4, the specified evaluation items are displayed. Here, the display modes of Air01, Air03 and Air08 which show a positive correlation, and Comfort82 which shows a negative correlation are different. Here, for example, at least one of color and brightness is displayed differently.

[0084] Another example of the display will be described with reference to FIG. 6. FIG. 6 is a second figure exemplifying the information output in the embodiment. For the parts overlapping with FIG. 5 in FIG. 6, the description is omitted by referring to FIG. 5.

[0085] In the example shown in FIG. 6, the content displayed in area A4 is different from the example in FIG. 5. Specifically, both Air03 and Comfort82 are displayed as icons. Specifically, Air03 is displayed by an icon including an illustration that reminds of an evaluation item related to air. Comfort82 is displayed by an icon including an illustration that reminds of an evaluation item related to temperature. The icon of Air03 is displayed larger than the icon of Comfort82. The size of the icon here is determined according to the magnitude of the correlation coefficient. Therefore, it can be seen that the correlation coefficient of Air03 is larger than the correlation coefficient of Comfort82. The positive or negative correlation is indicated by the upper and lower triangular symbols attached next to the icon. Here, for example, an upward triangular symbol is attached to Air03 to indicate a positive correlation, and a downward triangular symbol is attached to Comfort82 to indicate a negative correlation.

[0086] Another example of the display will be described with reference to FIG. 7. FIG. 7 is a third diagram illustrating the information output in the embodiment. Note that in FIG. 7, the description of the portions overlapping with FIG. 6 above is omitted by referring to FIG. 6.

[0087] In the example shown in FIG. 7, a state is shown in which the cursor is placed on the icon of Comfort82 in area A4. When the cursor is placed on the icon by the operation of user 99, a more detailed display may be made in a pop-up as shown in the figure. Here, the current value and the target value for achieving Comfort82 are shown.

[0088] Another example of the display will be described with reference to FIG. 8. FIG. 8 is a fourth diagram illustrating the information output in the embodiment. Note that in FIG. 8, the description of the portions overlapping with FIG. 5 above is omitted by referring to FIG. 5.

[0089] In the example shown in FIG. 8, the terminal display unit 29 of the terminal device 200 is divided into three areas, i.e., an area A1, an area A2, and an area A5 having a size in which area A3 and area A4 are integrated, and different information is displayed in each area. Note that the dashed line dividing the areas is shown for convenience and is not actually displayed.

[0090] In this example, instead of displaying the evaluation items of interest in the center as in the above three examples, information related to each area is displayed for the feature amounts of the evaluation items of interest. For example, in area A1, characters and illustrations indicating that the information is about the ventilation ability, which is a feature amount, are shown.

[0091] In area A2, it is visually shown how which evaluation items are achieved by increasing or decreasing the currently displayed feature amount to what extent.

[0092] Since the target value of one evaluation item corresponding to the currently displayed feature amount (here, corresponding to Air01) and the target values of other evaluation items different from the one evaluation item (here, corresponding to Air03 and Comfort82) when the feature amount is changed are visualized on the change axis of one feature amount, these relationships can be evaluated sensuously. The target values of the other evaluation items are set as the values of the feature amount when the evaluation value satisfies the reference value (i.e., sub-reference value) set in the other evaluation item based on the dependency (i.e., sub-dependency) of the evaluation value in the other evaluation item on the feature amount set in the one evaluation item.

[0093] In area A5, icons of correlated evaluation items as shown in FIG. 6 or FIG. 7 above are displayed. Note that in FIG. 6 or FIG. 7 above, the number of icons is two and the number of specified evaluation items is two, while in this example, three icons are displayed, indicating that the number of specified evaluation items is three. That is, as the predetermined number selected for specifying the evaluation item, a number that changes fluidly may be set according to the display area of the area for displaying information.

[0094] (Other embodiments) As described above regarding the embodiments etc., the present disclosure is not limited to the above embodiments etc.

[0095] Although the components constituting the building evaluation device etc. have been exemplified in the above embodiments etc., the functions of each component included in the building evaluation device etc. may be distributed in any manner among a plurality of parts constituting the building evaluation device etc.

[0096] Forms obtained by applying various modifications conceivable by those skilled in the art to the embodiments etc., or forms realized by arbitrarily combining the components and functions in the embodiments etc. without departing from the spirit of the present disclosure are also included in the present disclosure.

[0097] In the above-described embodiment, each component such as the control unit may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU or a processor reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

[0098] Each component such as the control unit may be realized by hardware. Each component may be a circuit (or an integrated circuit). These circuits may constitute one circuit as a whole, or may be separate circuits respectively. These circuits may be general-purpose circuits or dedicated circuits respectively.

[0099] The general or specific aspects of the present disclosure may be realized by a system, an apparatus, a method, an integrated circuit, a computer program, or a recording medium such as a computer-readable CD-ROM. The general or specific aspects of the present disclosure may be realized by any combination of a system, an apparatus, a method, an integrated circuit, a computer program, and a recording medium.

[0100] The present disclosure may be realized as a building evaluation method performed by a computer such as the building evaluation apparatus of the above-described embodiment, or may be realized as a program for causing a computer to execute the building evaluation method. The present disclosure may be realized as a computer-readable non-transitory recording medium on which such a program is recorded.

Industrial Applicability

[0101] The present disclosure is useful for the evaluation of buildings and applicable to support the acquisition of predetermined authentication and the like.

Explanation of Signs

[0102] 11 Storage unit 13 Communication unit 15 Control unit 17 Analysis unit 18 Calculation unit 19 Output unit 21 Terminal memory unit 23 Terminal communication unit 25 Terminal control unit 27 Terminal input unit 29 Terminal display unit 30 Network 99 User 100 Building evaluation device 200 Terminal device Areas A1, A2, A3, A4, A5

Claims

1. An information processing method executed by a computer to evaluate a space in a building based on a plurality of evaluation items used for a predetermined building certification, using a feature amount of the space set for a first evaluation item, the feature amount being such that an evaluation value in the first evaluation item changes due to a change in a numerical value, and performing a thermal fluid analysis of the space in each of two or more conditions in which the feature amounts have different numerical values; a calculation step of calculating a correlation coefficient of an evaluation value in each of a second evaluation item with respect to the feature amount based on the result of the thermal fluid analysis; the plurality of evaluation items being the first evaluation item and the second evaluation item; and an output step of identifying and outputting a correlation evaluation item among the second evaluation items, the calculated correlation coefficient of which satisfies a predetermined condition. The information processing method.

2. In the predetermined building certification, each of the plurality of evaluation items is classified into an essential item that is an evaluation item essential for the building to obtain certification, or a non-essential item that is an evaluation item not essential for the building to obtain certification, and in the output step, among the identified correlation evaluation items, the output priority of the correlation evaluation item corresponding to the essential item is determined to be higher than the output priority of the correlation evaluation item corresponding to the non-essential item, and the correlation evaluation items are output according to the determined output priority. The information processing method according to claim 1.

3. Further including a display step of displaying the output correlation evaluation items in a manner according to the magnitude of the calculated correlation coefficient. The information processing method according to claim 1 or 2.

4. The predetermined condition is that the absolute value of the calculated correlation coefficient is greater than a threshold value. The information processing method according to any one of claims 1 to 3.

5. The predetermined condition is that, in descending order of the absolute value of the calculated correlation coefficient, the condition is included in a predetermined number of evaluation items selected in order from the evaluation item having the largest absolute value. The information processing method according to any one of claims 1 to 4.

6. In the output step, information regarding the feature amount is output together with the correlation evaluation item. The information processing method according to any one of claims 1 to 5.

7. In the output step, the selected feature amount, the evaluation item corresponding to the selected feature amount, and the correlation evaluation item are output. The information processing method according to any one of claims 1 to 6.

8. In the calculation step, further, based on the result of the thermal fluid analysis, the dependency of the evaluation value of the first evaluation item on the feature amount is determined, In the output step, a target value which is a value of the feature amount necessary for the evaluation value of the first evaluation item to satisfy a reference value which is a criterion for achieving the first evaluation item provided for the first evaluation item, and which is calculated from the reference value based on the determined dependency, and the relative relationship between the current value which is the value of the feature amount under the current conditions are output as information regarding the feature amount The information processing method according to claim 6.

9. Each of the plurality of evaluation items consists of two or more sub-evaluation items each provided with a sub-reference value, All of the sub-reference values of the two or more sub-evaluation items are satisfied so that the reference value is satisfied by the evaluation value in the evaluation item, The target value is calculated based on the determined dependency using the sub-reference value having the largest difference from the current value among the two or more sub-reference values. The information processing method according to claim 8.

10. In the calculation step, further, based on the result of the thermal fluid analysis, the sub-dependency of the evaluation value of the second evaluation item on the feature amount is determined, In the output step, a sub-target value which is a value of the feature amount necessary for the evaluation value of the second evaluation item to satisfy a sub-reference value which is a criterion for achieving the second evaluation item provided for the second evaluation item, and which is calculated from the sub-reference value based on the determined sub-dependency, the relative relationship between the target value, and the current value are output as information regarding the feature amount The information processing method according to claim 8 or 9.

11. The predetermined building certification is WELL Building Standard (registered trademark) The information processing method according to any one of claims 1 to 10.

12. For causing a computer to execute the information processing method according to any one of claims 1 to 11 Program.

13. An information processing apparatus for evaluating a space in a building by a plurality of evaluation items used for a predetermined building certification, An analysis unit that performs a thermal fluid analysis of the space in each of two or more conditions in which the feature amounts are different numerical values, using the feature amount of the space set for the first evaluation item, the feature amount being such that the evaluation value in the first evaluation item changes due to a change in the numerical value A calculation unit that calculates a correlation coefficient of an evaluation value in each of the second evaluation items with respect to the feature amount based on the result of the thermal fluid analysis; the plurality of evaluation items are the first evaluation item and the second evaluation item, An output unit that identifies and outputs a correlation evaluation item in which the calculated correlation coefficient satisfies a predetermined condition from among the second evaluation items, An information processing apparatus.

14. An information processing method executed by a computer for evaluating a space in a building using a plurality of evaluation items used for a predetermined building authentication, A calculation step of calculating a correlation coefficient of an evaluation value in each of the second evaluation items with respect to a feature amount based on the result of a thermal fluid analysis; An output step of identifying and outputting a correlation evaluation item in which the calculated correlation coefficient satisfies a predetermined condition from among the second evaluation items, The plurality of evaluation items are a first evaluation item and the second evaluation item, The thermal fluid analysis is performed on the space for each of two or more conditions in which the feature amounts have different numerical values using the feature amounts, The feature amount is a feature amount of the space set for the first evaluation item, and is a feature amount in which the evaluation value in the first evaluation item changes due to a change in a numerical value An information processing method.

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