Information processing device, information processing method, and program

Abstract

To facilitate the formation of a shared understanding among stakeholders with different areas of expertise, and to enable work efficiency and cost optimization through optimal evaluation tailored to the characteristics of each component. [Solution] The user interface provider unit 51 provides the user terminal 2 with a user interface having a function to select an operation mode according to multiple user knowledge levels, a function to acquire target building information, and a function to present output information. The classification unit 52 classifies the components of the target building according to their location and arrangement based on the target building information. The evaluation unit 53 compares the evaluations of multiple evaluation methods for each classified component and selects an evaluation result using an appropriate evaluation method based on the comparison results. The output control unit 55 generates output information indicating the selected evaluation result for each classified component and executes control to present it from the user interface.

Description

Technical Field

[0001] The present invention relates to an information processing apparatus, an information processing method, and a program.

Background Art

[0002] In conventional building energy evaluation techniques, it has generally been common to use either a single evaluation method, which is a performance regulation based on calculation or a specification regulation which is a specification check for each part. In addition, there were also systems (see, for example, Patent Document 1) that simultaneously evaluate the energy consumption performance of a building and the building costs, usability, designability, etc., which are the needs of the building owner. However, these evaluate the building as a whole, and an optimal evaluation method has not been selected according to the characteristics of each component of the building. Furthermore, interface design has not been carried out so that building owners, designers, review agencies, constructors, and building managers, who are building-related persons with different levels of expertise, can use it from their respective positions.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] For the above reasons, in recent years, it has been difficult for building owners, designers, review agencies, constructors, and building managers, who are various stakeholders in the industry, to share a common understanding of energy-saving technologies at the same level, and there has been a situation where the results differ when stakeholders with different knowledge levels conduct evaluations from their respective positions. Furthermore, because the thermal characteristics differ for each component of a building, such as dwelling units, the optimal evaluation method, whether performance-based or specification-based, also differs. However, conventional technologies, including Patent Document 1, either apply a single evaluation method to the entire building or comprehensively evaluate the energy-saving performance of the entire building and the needs of the building owner. There is no function to automatically select the optimal evaluation method according to the characteristics of each component.

[0005] This invention was made in view of the above circumstances, and aims to enable the formation of a common understanding among stakeholders with different areas of expertise, and to improve work efficiency and optimize costs through optimal evaluation tailored to the characteristics of each component. [Means for solving the problem]

[0006] To achieve the above objective, an information processing apparatus according to one aspect of the present invention is: A user interface providing means that provides a user terminal with a user interface having at least the following functions: a function to select an operation mode according to multiple user knowledge levels; a function to acquire information about the target building as target building information according to the selected operation mode; and a function to present output information output from the information processing device. A classification means for classifying the components of the target building according to their location and arrangement based on the target building information obtained through the user interface, An evaluation means that compares the evaluations obtained by each of the multiple evaluation methods for each of the classified components of the target building, and selects the evaluation result of the appropriate evaluation method from among the multiple evaluation methods based on the comparison results, Output control means that generates output information indicating the evaluation result selected by the evaluation means for each classified component of the target building, and performs control to present the output information from the user interface, It is equipped with.

[0007] Each of the information processing method and program according to one aspect of the present invention corresponds to each of the method and program corresponding to the information processing apparatus according to one aspect of the present invention. [Effects of the Invention]

[0008] According to the present invention, it becomes possible to form a common understanding among stakeholders with different areas of expertise, and to improve work efficiency and optimize costs through optimal evaluation tailored to the characteristics of each component. [Brief explanation of the drawing]

[0009] [Figure 1] This figure shows an overview of the service that can be realized by an information processing system to which a server according to one embodiment of the information processing device of the present invention is applied. [Figure 2] This figure shows an example of the configuration of an information processing system to which a server according to one embodiment of the information processing device of the present invention is applied. [Figure 3] Figure 2 is a block diagram showing an example of the server hardware configuration in the information processing system. [Figure 4] This is a functional block diagram showing an example of the functional configuration of the server in Figure 3 that constitutes the information processing system in Figure 2. [Figure 5] Figures 1 to 4 show examples of screens for each user knowledge level in this embodiment. [Figure 6] Figures 1 to 4 are flowcharts of the evaluation method selection process for this embodiment. [Figure 7] Figures 1 to 4 show mockups of the matrix diagram creation and editing screens for this embodiment. [Figure 8] Figures 1 to 4 show the insulation material cost calculation sheet and dwelling unit classification table for this embodiment. [Figure 9] Figures 1 to 4 show examples of thermal insulation cost comparison tables for this embodiment. [Figure 10] Figures 1 to 4 show examples of how to display the evaluation method in a matrix diagram according to this embodiment. [Figure 11] Figures 1 to 4 are conceptual diagrams of this embodiment showing the separation of the input layer, processing layer, and output layer, and future support through database updates. [Figure 12] It is a tabular diagram showing the screen menu configuration of the system for the present embodiment in FIGS. 1 to 4. [Figure 13] It is a diagram showing a list of operation modes provided by the user interface for the present embodiment in FIGS. 1 to 4. [Figure 14] It is a diagram showing an example of heat insulation fitting precautions for the present embodiment in FIGS. 1 to 4. [Figure 15] It is a diagram showing the path from outsourcing to the major transformation to DIS (Digital In-sourcing System) for the present embodiment in FIGS. 1 to 4. [Figure 16] It is a diagram showing the prediction of the business form of an outsourcing-based company and a diagram showing the prediction of the business form of a company aiming at DIS for the present embodiment in FIGS. 1 to 4. [Figure 17] It is a diagram showing the analysis and strategy of the destination and position of the energy-saving support system for the present embodiment in FIGS. 1 to 4. [Figure 18] It is a diagram showing the analysis and strategy of the destination and position of the energy-saving support system for the present embodiment in FIGS. 1 to 4.

Embodiment for Implementing the Invention

[0010] Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[0011] First, referring to FIG. 1, an overview of a service (hereinafter referred to as "this service") that can be realized by an information processing system (see FIG. 2 described later) to which a server according to an embodiment of the information processing apparatus of the present invention is applied will be described. FIG. 1 is a diagram showing an overview of this service that can be realized by an information processing system to which a server according to an embodiment of the information processing apparatus of the present invention is applied.

[0012] This service provides a user interface with selectable operating modes to accommodate diverse user knowledge levels. It classifies building components according to their location and arrangement, compares multiple evaluation methods such as performance-based and specification-based rules for each component, and automatically selects the optimal evaluation method to output the results, thus supporting energy-saving evaluations.

[0013] In this service, each of user terminals 2-1 through 2-n is operated by multiple users, each possessing a different level of user knowledge. For example, in the example in Figure 1, user terminal 2-1 is operated by a beginner-level user who is the building owner. User terminal 2-2 is operated by an intermediate-level user who is the designer. User terminal 2-3 is operated by an advanced-level user who is the reviewing body. User terminal 2-n is operated by the contractor, building manager, etc. It should be noted that the roles of user terminals 2-1 to 2-n described above (including which users operate them) are based solely on the example in Figure 1. In other words, the roles of user terminals 2-1 to 2-n (including which users operate them) are not limited to the example in Figure 1, and different roles may be adopted in other examples (for example, the example in Figure 11). AI3 is a generative AI equipped with LLM, and works in conjunction with Server 1 to provide analysis support and generate suggestions. Server 1 provides each of the multiple users operating each of the user terminals 2-1 through 2-n with a user interface having an operating mode suitable for that user from among multiple user knowledge levels.

[0014] Specifically, for example, in step S1, server 1 provides a user interface to user terminal 2. This user interface has a function that allows users to select an operating mode according to their knowledge level, such as beginner, intermediate, or advanced. In the beginner-level mode (beginner mode), a simple input screen with explanations is provided. In the intermediate-level mode (original standard mode), evaluation based on the company's standard specifications is possible. In the intermediate-level mode (for practitioners only mode), advanced analysis can be performed with detailed parameter settings.

[0015] In step S2, Server 1 acquires information about the target building that has been input according to the selected operation mode as target building information, and classifies the components of the target building according to their location and arrangement based on said target building information. Specifically, for example, if the target building is a 14-story apartment building with 46 units, basic information such as the zoning classification, number of floors, total number of units, structure, and subfloor will be acquired as target building information. The dwelling units are classified by floor level into top-floor units, middle-floor units, and bottom-floor units, and by floor plan level into end-floor units and middle units. This classification is important for accurately evaluating the differences in thermal characteristics depending on the location of the dwelling unit. For example, in a 14-story apartment building with 46 units, the units are automatically classified as follows: 4 units on the top floor (14th floor), 38 units on the middle floors (2nd to 13th floors), 4 units on the bottom floor (1st floor), 28 end units at both ends of each floor, and 18 middle units in the center of each floor. The classification results are visually displayed on the screen as a matrix diagram showing the hierarchical and planar positional relationships, and users can adjust them by dragging.

[0016] In step S3, Server 1 compares the evaluations from multiple evaluation methods for each classified component and selects the evaluation result from the appropriate evaluation method. Here, the multiple evaluation methods include a first evaluation method based on performance specifications and a second evaluation method based on specification specifications. Performance-based regulations offer flexibility but involve complex calculations. On the other hand, specification-based regulations are simpler, but all aspects, such as the thickness of insulation materials, are predetermined. Server 1 compares these evaluation methods according to the conditions of the dwelling unit and automatically selects the optimal evaluation method. At this point, AI3 will provide analytical support. For example, the evaluation based on specifications applies to the middle units on intermediate floors, while the evaluation based on performance applies to the units on the top and bottom floors, as well as the end units.

[0017] In step S4, Server 1 generates cost comparison information showing the relationship between insulation costs and energy-saving performance based on the evaluation results. For example, the total cost, average UA value, and cost breakdown by type of insulation material are compared and displayed for three scenarios: evaluating all dwelling units based solely on performance specifications, evaluating all dwelling units based solely on specifications, and evaluating them using an optimized mixed evaluation.

[0018] In step S5, Server 1 generates output information showing the selected evaluation results for each classified component and executes control to present it through the user interface. For example, the output information may be presented as a matrix showing the layout of the dwelling units, with the evaluation method and insulation specifications applicable to each unit superimposed on the matrix. The evaluation methods are displayed using color coding. For example, in a matrix diagram showing 14 floors and dwelling unit types, evaluations based on performance regulations are displayed in red, while evaluations based on specification regulations are displayed in blue. Additionally, the insulation specifications for each unit are displayed in a pop-up window, allowing you to grasp the overall picture at a glance. Furthermore, the output information also includes the necessary information for generating various documents, such as those for submitting energy-saving compliance assessments, explanations for building owners, and drawings for contractors.

[0019] In step S6, Server 1, in cooperation with AI 3, associates and stores evaluation results with classification information of components, and analyzes the stored data to generate suggested information for optimizing energy-saving performance. For example, AI3 makes optimization suggestions using past evaluation data. Furthermore, Server 1 updates the parameters stored within it to accommodate future changes in energy-saving standards. For example, if energy conservation standards are revised in 2026 and solar thermal energy utilization is added to the evaluation criteria, the server administrator can simply update the parameters, and evaluation under the new standards will be possible without changing the user interface or operating procedures.

[0020] In this way, this service enables the formation of a shared understanding of energy-saving technologies among stakeholders (users) with different levels of knowledge, and by automatically selecting the optimal evaluation method tailored to the characteristics of each component, it becomes possible to simultaneously achieve efficiency in evaluation work and cost optimization.

[0021] As a concrete example, we will explain the case of aiming to meet the ZEH-ORIENTED standard for a 14-story, 46-unit apartment building. The designer (intermediate-level user) operates user terminal 2-2 in intermediate-level mode (original standard mode), inputting basic information in original standard mode and inputting information for each dwelling unit type (step S1). Server 1 automatically generates a matrix diagram from this input information (step S2). At this time, the designer can adjust the placement of some dwelling units by dragging them on user terminal 2-2. Server 1 analyzes the conditions of each dwelling unit and selects the optimal evaluation method (Step S3). On user terminal 2-2, the results of a mixed evaluation of performance and specification requirements are displayed, and cost calculations based on the type, thickness, quantity, and unit price of insulation materials are compared and displayed in three patterns (steps S4 and S5). For example, the total cost is 48.5 million yen with performance requirements only, 34.2 million yen with specification requirements only, and 39.5 million yen with the optimal mix, allowing the building owner to confirm a cost reduction of 1.82 million yen.

[0022] The above explains this service from the perspective of its workflow. The following describes this service from the perspective of its various features, with the service flow explained in no particular order.

[0023] For example, as described above, Server 1 can provide operating modes corresponding to multiple user knowledge levels: a beginner mode for beginners, an original standard mode for intermediate users, and a professional-only mode for advanced users. This allows even clients with limited expertise to easily operate the system, while designers with specialized knowledge can make detailed settings, thus promoting the formation of a common understanding among diverse stakeholders using the same system.

[0024] For example, Server 1 can classify the dwelling units, which are components of the target building, into floor-level classifications of top-floor units, intermediate-floor units, and bottom-floor units, and into plan-level classifications of end-floor units and middle units. This allows for accurate evaluation of differences in thermal characteristics depending on the location of each dwelling unit, enabling the selection of the optimal insulation specifications for each unit's conditions. This makes it possible to achieve both compliance with energy-saving standards and cost reduction while avoiding over-design.

[0025] For example, Server 1 can use multiple evaluation methods, including a first evaluation method based on performance specifications and a second evaluation method based on specification specifications, compare the evaluation results from the first and second evaluation methods, and select the appropriate evaluation method for each classified component. This allows for the optimization of the balance between cost efficiency and energy-saving performance, and enables the proposal of the optimal combination, by using the flexibility of performance regulations and the simplicity of specification regulations according to the conditions of each dwelling unit.

[0026] For example, Server 1 can generate cost comparison information showing the relationship between the insulation cost and energy-saving performance of the target building based on the evaluation results. This visually demonstrates the relationship between insulation costs and energy-saving performance, enabling building owners and designers to make decisions that consider both cost and performance aspects. Because optimal solutions can be found from both economic and environmental perspectives, practical energy-saving measures will be promoted.

[0027] For example, Server 1 can display the layout of dwelling units in a target building in a matrix format and superimpose the evaluation method and insulation specifications applicable to each dwelling unit onto the matrix. This allows for a quick understanding of how evaluation methods are being applied to complex housing unit configurations, thereby facilitating the formation of a shared understanding among stakeholders. Furthermore, because the relationship between the location of the dwelling unit and the evaluation method can be intuitively understood, the impact of design changes can be easily predicted.

[0028] For example, Server 1 can update one or more parameters used to evaluate energy efficiency performance based on changes in energy efficiency standards. This allows for a rapid response to changes in energy conservation standards resulting from shifts in global affairs and environmental policies, ensuring the long-term usefulness of the system. Because the input / output interface can be maintained while only the processing part is updated, it is possible to adapt to the latest standards while minimizing the cost of relearning for the user.

[0029] As explained above, this service not only streamlines the energy efficiency evaluation process for buildings, but also enables stakeholders with varying levels of knowledge to share evaluation results with the same understanding and apply the most suitable evaluation method to each part of the building, thereby optimizing the balance between cost efficiency and energy efficiency.

[0030] Next, with reference to Figure 2, we will describe the configuration of an information processing system to which an information processing system that realizes the provision of the above-mentioned service, i.e., an information processing system to which a server according to one embodiment of the information processing device of the present invention is applied. Figure 2 shows an example of the configuration of an information processing system to which a server according to one embodiment of the information processing device of the present invention is applied.

[0031] The information processing system shown in Figure 2 is configured to include Server 1, user terminals 2-1 to 2-n, AI 3, and external system 4. Server 1, user terminals 2-1 through 2-n, AI 3, and external system 4 are interconnected via a network N such as the Internet. Furthermore, if there is no need to distinguish between user terminals 2-1 through 2-N individually, they will be collectively referred to as user terminal 2.

[0032] Server 1 is an information processing device managed by the service provider of this service (Figure 1). Server 1 performs various processes necessary to realize this service while communicating with user terminal 2, AI 3, and external system 4 as needed. User terminal 2 is an information processing device operated by the building owner, designer, review agency personnel, contractor, building manager, etc., and consists of a smartphone, tablet, personal computer, etc. AI3 refers to generative AI and other technologies installed on servers and other systems of other services. External system 4 is a group of information processing devices that includes external energy-saving calculation software and systems of certification bodies.

[0033] Figure 3 is a block diagram showing an example of the server hardware configuration in the information processing system shown in Figure 2.

[0034] Server 1 comprises a CPU (Central Processing Unit) 11, ROM (Read Only Memory) 12, RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, an input unit 16, an output unit 17, a storage unit 18, a communication unit 19, and a drive 20.

[0035] The CPU 11 executes various processes according to the program recorded in the ROM 12 or the program loaded from the storage unit 18 into the RAM 13. RAM13 also stores data and other information necessary for the CPU11 to perform various processes.

[0036] The CPU 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output interface 15 is also connected to this bus 14. The input / output interface 15 is connected to an input unit 16, an output unit 17, a storage unit 18, a communication unit 19, and a drive 20.

[0037] The input unit 16 is configured, for example, with a keyboard, and is used to input various types of information. The output unit 17 consists of a display such as an LCD and a speaker, and outputs various information as images and sounds. The memory unit 18 is composed of DRAM (Dynamic Random Access Memory) and stores various types of data. The communication unit 19 communicates with other devices (for example, the user terminal 2, AI 3, and external system 4 in Figure 2) via a network N including the Internet.

[0038] The drive 20 is appropriately fitted with removable media 21, such as a magnetic disk, optical disk, magneto-optical disk, or semiconductor memory. The program read from the removable media 21 by drive 20 is installed in the storage unit 18 as needed. Furthermore, the removable media 21 can store various types of data stored in the storage unit 18, just as the storage unit 18 does.

[0039] Although not shown in the diagram, the user terminal 2 in Figure 2, and the information processing devices that make up AI 3 and external systems 4, etc., can also have a configuration that is basically the same as the hardware configuration shown in Figure 3. Therefore, the explanation of the hardware configuration of the user terminal 2, and the information processing devices that constitute AI3 and external systems 4, etc., will be omitted.

[0040] Through the cooperation of various hardware and software components that make up the information processing system in Figure 2, including Server 1 in Figure 3, various processes for providing the service in Figure 1 can be executed.

[0041] Figure 4 is a functional block diagram showing an example of the functional configuration of the server in Figure 3 within the information processing system shown in Figure 2.

[0042] As shown in Figure 4, the CPU 11 of server 1 functions as follows: user interface provision unit 51, classification unit 52, evaluation unit 53, cost comparison information generation unit 54, output control unit 55, proposal information generation unit 56, and update unit 57. Furthermore, one area of ​​the storage unit 18 of server 1 is provided with target building information DB71, classification information DB72, evaluation method DB73, evaluation result DB74, cost information DB75, output information DB76, parameter DB77, proposal information DB78, and AI learning data DB79.

[0043] The user interface provider unit 51 provides the user terminal 2 with a user interface that has at least the following functions: a function to select an operation mode according to a user's knowledge level; a function to acquire information about the target building as target building information according to the selected operation mode; and a function to present output information output from the server 1. Here, the target building information acquired via the user interface is stored in the target building information DB 71. Specifically, the system offers operating modes for beginner, intermediate, and advanced users. The beginner mode displays a simple input screen with explanations. The custom standard mode allows for evaluation based on the company's own standard specifications. The professional mode enables advanced analysis through detailed parameter settings. This allows even clients with limited expertise to easily operate the system, while designers with specialized knowledge can make detailed settings, thus promoting the formation of a common understanding among diverse stakeholders using the same system.

[0044] The classification unit 52 extracts target building information from the target building information DB 71 and classifies the components of the target building according to their location and arrangement based on that target building information. The classification results are stored in the classification information DB 72. For example, dwelling units are classified by their floor location into top-floor units, middle-floor units, and bottom-floor units, and by their floor plan location into end-floor units and middle units. For example, in a 14-story apartment building with 46 units, the units are automatically classified as follows: 4 units on the top floor (14th floor), 38 units on the middle floors (2nd to 13th floors), 4 units on the bottom floor (1st floor), 28 end units at both ends of each floor, and 18 middle units in the center of each floor. This classification allows for accurate evaluation of differences in thermal characteristics depending on the location of each dwelling unit, enabling the selection of the optimal insulation specifications for each unit's conditions. This allows for both compliance with energy-saving standards and cost reduction while avoiding over-design.

[0045] The evaluation unit 53 extracts classification information from the classification information DB 72 and evaluation methods from the evaluation method DB 73. For each component of the classified target building, it compares the evaluations from each of the multiple evaluation methods and, based on the comparison results, selects the evaluation result from the appropriate evaluation method among the multiple evaluation methods. The selected evaluation result is stored in the evaluation result DB 74. Here, the multiple evaluation methods include a first evaluation method based on performance specifications and a second evaluation method based on specification specifications. The evaluation unit 53 compares the evaluation results from the first and second evaluation methods and selects the appropriate evaluation method for each classified component. Specifically, for example, the evaluation based on specifications applies to the middle units on the intermediate floors, while the evaluation based on performance applies to the units on the top and bottom floors, as well as the end units. This allows for the optimization of the balance between cost efficiency and energy-saving performance, and enables the proposal of the optimal combination, by using the flexibility of performance regulations and the simplicity of specification regulations according to the conditions of each dwelling unit. Furthermore, the evaluation unit 53 can adapt to future changes in energy-saving standards by extracting updated parameters from the parameter DB 77 and performing the evaluation.

[0046] The cost comparison information generation unit 54 extracts evaluation results from the evaluation results DB 74 and generates cost comparison information showing the relationship between the insulation cost and energy-saving performance of the target building evaluated by the evaluation unit 53. The generated cost comparison information is stored in the cost information DB 75. For example, the total cost, average UA value, and cost breakdown by type of insulation material are calculated for three scenarios: evaluating all dwelling units based solely on performance specifications, evaluating all dwelling units based solely on specifications, and evaluating a mixed evaluation with optimized specifications. This visually demonstrates the relationship between insulation costs and energy-saving performance, enabling building owners and designers to make decisions that consider both cost and performance aspects.

[0047] The output control unit 55 extracts classification information from the classification information DB 72, evaluation results from the evaluation results DB 74, and cost comparison information from the cost information DB 75. It generates output information showing the evaluation results selected by the evaluation unit 53 for each classified component of the target building, and executes control to present this output information from the user interface via the user interface provision unit 51. The generated output information is also stored in the output information DB 76. For example, the output control unit 55 displays the layout of the dwelling units in the target building in a matrix format and performs a process to superimpose the evaluation method and insulation specifications applicable to each dwelling unit onto the matrix. Specifically, for example, in a matrix diagram showing 14 floors and dwelling unit types, evaluations based on performance regulations are displayed in red, while evaluations based on specification regulations are displayed in blue. Additionally, the insulation specifications for each unit are displayed in a pop-up window, allowing you to grasp the overall picture at a glance. This allows for a quick understanding of how evaluation methods are being applied to complex housing unit configurations, thereby facilitating the formation of a shared understanding among stakeholders. Furthermore, the output control unit 55 extracts proposal information from the proposal information DB 78 and performs control to present the proposal information from the user interface via the user interface provision unit 51.

[0048] The proposal information generation unit 56 extracts evaluation results from the evaluation results DB 74, classification information from the classification information DB 72, and AI learning data from the AI ​​learning data DB 79. In cooperation with AI 3, it analyzes the evaluation results from the evaluation unit 53 in relation to the classification information of the components of the target building, and generates proposal information for optimizing the energy-saving performance of the target building. The generated proposal information is stored in the proposal information DB 78. The analysis results by AI 3 are stored in the AI ​​learning data DB 79. This allows users to accumulate knowledge about energy-saving design by utilizing past evaluation data to provide optimization suggestions, thereby reducing reliance on external sources and simultaneously improving internal skills and operational efficiency.

[0049] The update unit 57 updates the parameters related to energy saving standards stored in the parameter DB 77. By updating one or more parameters used to evaluate energy-saving performance based on changes in energy-saving standards, the evaluation unit 53 can perform the evaluation based on the updated parameters. For example, if the energy conservation standards are revised in 2026 and solar thermal energy utilization is added to the evaluation criteria, the server administrator can simply update the parameters in parameter DB77 to accommodate this change. This allows for rapid response to changes in energy conservation standards resulting from shifts in global affairs and environmental policies. Since only the processing unit can be updated while maintaining the input / output interface, it minimizes the user's relearning costs while enabling compliance with the latest standards.

[0050] In this way, the collaboration of each functional block in Server 1 enables the formation of a shared understanding of energy-saving technologies among stakeholders with different levels of knowledge, and by automatically selecting the optimal evaluation method tailored to the characteristics of each component, it is possible to simultaneously achieve increased efficiency in evaluation work and cost optimization.

[0051] Next, with reference to Figures 5 to 18, we will describe the details of the embodiment shown in Figures 1 to 4 in more detail.

[0052] Figure 5 is a table showing examples of screens for each user knowledge level in the embodiments of Figures 1 to 4. As shown in Figure 5, the user interface provider 51 (for example, Figure 4) provides screens corresponding to three operation modes: beginner mode, intermediate mode (original standard mode), and advanced mode (operator-only mode). The table in Figure 5 shows details of the input parameters according to the user's knowledge level. In mode selection, the beginner mode limits the options to only the beginner mode; the intermediate mode allows selection between the beginner mode and the original pre-set mode; and the advanced mode allows selection of the beginner mode, the original pre-set mode, and the professional-only mode. In inputting building specifications, beginner mode limits the options to default values, intermediate mode allows selection of standard specifications and past performance, and advanced mode allows detailed settings for all items. In the development process, beginner mode limits the options to the planning stage, intermediate mode allows selection between the planning and basic design stages, and advanced mode allows selection of all stages from the planning stage to the post-completion management stage. In terms of building types, beginner mode is limited to apartment buildings, intermediate mode allows selection of apartment buildings and detached houses, and advanced mode allows selection of all building types. Figure 5 shows in detail the configurable ranges for each item, such as area setting, floor number setting, area classification, insulation type, structural type, evaluation method selection setting, energy saving standard method selection, and basic calculation value level setting, in beginner mode, intermediate mode, and advanced mode. In beginner mode, only the minimum number of input fields are displayed, each field is accompanied by an explanation, and default values ​​are set by default. In the intermediate-level Original Standard Mode, users can register and use their company's standard specifications, with items frequently used in practical work being the main focus. In the advanced user mode, which is designed for practitioners, all parameters can be set in detail, allowing for sophisticated analysis. This allows stakeholders with different areas of expertise to use the same system to conduct energy efficiency evaluations, thereby promoting the formation of a shared understanding among stakeholders. Figure 5 shows the specific screen configuration for providing the user interface in step S1 of Figure 1, which is realized by the user interface providing unit 51 (Figure 4).

[0053] Figure 6 is a flowchart of the evaluation method selection process for the embodiments shown in Figures 1 to 4. As shown in Figure 6, the evaluation unit 53 (for example, Figure 4) performs processing with a three-layer structure consisting of an input layer, a processing layer, and an output layer. In the input layer, in step S21, the designer (operator of user terminal 2) performs basic information input. In the basic information input section, you will enter details such as the building overview (energy-saving zone classification, building size, number of floors, floor height, number of dwelling units, etc.), energy-saving performance level (selection of energy-saving standards, low-carbon building level standards, ZEH-M Oriented, ZEH-Oriented, high-level ZEH, etc.), and floor subfloor conditions (presence or absence of double floors or thermal bridge reinforcement, etc.). In step S22, Server 1 saves and stores the entered basic information and executes a process to transition to the next input screen. In step S23, the designer performs the input of building information. In the building information input, for each type of dwelling unit, you will input the length of the exterior wall, the area of ​​the exterior wall, the dimensions and number of openings, the specifications of the insulation material, the insulation details (insulation under beams and on the sides of beams, under the foundation, confirmation of insulation defects, etc.). In step S24, Server 1 saves and stores the entered building information and executes a process to transition to the next input screen. At this time, the entered building information and basic information are stored as target building information in the target building information DB71 (Figure 4). In step S25, the designer creates a matrix diagram. In matrix diagram creation, a building configuration diagram (matrix diagram, birdcage diagram, etc.) is created, and the layout of dwelling units (matrix diagram, birdcage diagram, etc.) is visually displayed on the screen. Steps S21 to S25 correspond to steps S1 (providing the user interface) and S2 (classifying the components) in Figure 1, and the user interface providing unit 51 (Figure 4) and the classification unit 52 (Figure 4) are the main functions of these steps. In the processing layer, in step S26, the processing layer of server 1 performs analysis and processing. In this processing layer, the dwelling unit information classified by the classification unit 52 (Figure 4) is extracted from the database (for example, the target building information DB 71 and classification information DB 72 in Figure 4), and analysis and processing are performed. In this processing layer, the evaluation unit 53 (Figure 4) performs the process of calculating an evaluation value based on the data obtained from the input layer. In step S27, Server 1 retrieves the necessary information from the database required for analysis and processing. In this processing layer, the evaluation unit 53 (Figure 4) compares evaluations using two evaluation methods: performance-based and specification-based, and selects the optimal evaluation method for each dwelling unit. In this processing layer, calculation formulas and parameters to accommodate future standard changes are stored in a database (for example, evaluation method DB73 and parameter DB77 in Figure 4), and when the standards are revised, this database can be updated to allow for flexible adaptation. Steps S26 and S27 correspond to steps S3 (comparison and selection of evaluation methods) and S4 (generation of cost comparison information) in Figure 1, and the evaluation unit 53 (Figure 4) and the cost comparison information generation unit 54 (Figure 4) are the main functions of these steps. In the output layer, in step S28, the output layer performs result output. In step S29, the output layer generates the appropriate format and other necessary documents. In step S30, the designer (operator of user terminal 2) downloads the generated documents (documents for submission to the energy efficiency suitability assessment, etc.). Steps S28 to S30 correspond to steps S5 (matrix display and output information presentation) and S6 (result storage and AI proposal generation) in Figure 1, and are mainly performed by the output control unit 55 (Figure 4) and the proposal information generation unit 56 (Figure 4). In this way, by keeping the input and output layers essentially unchanged and updating the calculation formulas and databases in the processing layer, it becomes possible to flexibly adapt to future changes in standards. Thus, Figure 6 shows the processing flow from steps S1 to S6 in Figure 1 in more detail, particularly emphasizing the flexibility for future adaptation provided by the three-layer structure (input layer, processing layer, and output layer).

[0054] Figure 7 shows a mockup of the matrix diagram creation and editing screen for the embodiment shown in Figures 1 to 4. As shown in Figure 7, the matrix diagram created by the classification unit 52 (for example, Figure 4) is displayed on the screen. The matrix diagram is a grid-like diagram in which each floor of a 14-story building is arranged on the vertical axis, and the dwelling unit types (A, B, C, ...N) are arranged on the horizontal axis. The first floor houses common areas such as parking, shops, a windbreak, and a lounge. Each type of dwelling unit is located on the 2nd to 14th floors, and each cell is labeled with a symbol indicating the type of dwelling unit (A, B, C, D, E, F, G, H, I, J, K, K1, K2, L, M, N, etc.). Users can adjust the arrangement of apartment types by dragging and dropping, and can also combine apartments with each other. On the right side of Figure 7, there is a note that reads, "※Dragping allows you to connect dwelling units, etc.," which allows you to flexibly create a matrix diagram that matches the actual building configuration. This allows for the flexible creation of matrix diagrams that accurately reflect the actual building configuration, making it possible to visually understand the positional relationships of each dwelling unit. Thus, Figure 7 displays the results of the component classification in step S2 of Figure 1 in matrix format, which is generated by the classification unit 52 (Figure 4) and whose display is controlled by the output control unit 55 (Figure 4).

[0055] Figure 8 shows the insulation material cost calculation sheet and dwelling unit classification table for the embodiment shown in Figures 1 to 4. As shown in Figure 8, the classification unit 52 (for example, Figure 4) compiles detailed information for each dwelling unit type, such as the floor, floor area, length of the exterior wall, area of ​​the openings, and type and thickness of the insulation material. At the top of Figure 8, a simplified insulation cost estimation sheet is shown, listing the area, length, type of insulation, thickness, and remarks for each of the insulation areas: the top floor roof (external insulation), the exterior wall of gable unit 1, the exterior wall of gable unit 2, the exterior wall of the middle unit, the floor of the lowest floor, and the insulation reinforcement. For example, the area of ​​the top floor roof (external insulation) is 250.03 square meters, and the thickness of the insulation material is between 20 millimeters and 35 millimeters. The exterior wall area of ​​each end-dwelling unit is 235.89 square meters, and the insulation thickness is 40 to 50 millimeters, and it is installed on the top and bottom floors. The exterior wall area of ​​the second end dwelling unit is 1268.87 square meters, and the insulation thickness is 40 to 50 millimeters, located on the intermediate floor. The exterior wall area of ​​the middle dwelling unit is 190.12 square meters, and the thickness of the insulation material is 40 millimeters. The lowest floor area is 180.99 square meters, and the thickness of the insulation is between 60 and 90 millimeters. The length of the thermal insulation reinforcement is 1327.76 meters, and the thickness of the insulation material is 20 millimeters. The middle to lower part of Figure 8 shows the details of each dwelling unit, with each dwelling unit type (A, B, C, D, E, F, G, H, I, J, K, L, M, N) having detailed information such as floor, classification (end dwelling unit 1, end dwelling unit 2, middle dwelling unit), number of units, floor area, average floor height, dimensions of each of the exterior walls 1 to 4 and their opening areas, exterior wall length, opening area, top floor ceiling area, and bottom floor area. For example, unit type A is located as the lowest floor end unit 1, with a floor area of ​​35.10 square meters and an average floor height of 3219 millimeters. The opening in exterior wall 1 is 4500 mm high, 2140 mm wide, and has an area of ​​2250 square meters, for a total area of ​​4.82 square meters. The opening in exterior wall 3 is 7800 mm high, 1350 mm wide, and has an area of ​​1200 square meters, for a total area of ​​1.62 square meters. The exterior wall is 12.30 meters long, the opening area is 6.44 square meters, and the floor area of ​​the lowest floor is 35.10 square meters. Thus, Figure 8 provides basic data for calculating the quantity of insulation material, as it serves as a detailed summary table of exterior wall length, openings, area, etc., for each type of dwelling unit. Figure 8 shows the detailed data of the component classification in step S2 of Figure 1, which is generated by the classification unit 52 (Figure 4) and stored in the classification information DB 72 (Figure 4).

[0056] Figure 9 shows an example of a thermal insulation cost comparison table for the embodiment shown in Figures 1 to 4. As shown in Figure 9, the cost comparison information generation unit 54 (for example, Figure 4) compares in detail the differences in thermal insulation specifications and cost differences based on two evaluation methods: performance-based specifications and specification-based specifications (guided specification standards). At the top of Figure 9, a ZEH-ORIENTED insulation cost comparison table is shown, with "(Provisional Name) Project" listed as the building name. The insulation details for each part of the building, including the top floor roof (exterior insulation), top floor roof (interior insulation), gable unit 1 exterior wall, gable unit 2 exterior wall, middle unit exterior wall, bottom floor, and insulation reinforcement, are described in detail, including area, length, type of insulation material, assumed insulation performance (thickness, maximum thickness, a unit price), assumed insulation performance (thickness, b unit price per square meter) according to the specification standards (guided specification standards), and cost differences (ba difference in amount). For example, for the top floor roof (external insulation), the area is 250.03 square meters, the type of insulation material is rigid polyurethane foam insulation board type 2, no. 1, the performance specification specifies a thickness of 50 mm and a unit price of 2,300 yen, while the specification specifies a thickness of 40 mm and a unit price of 1,800 yen, resulting in a cost difference of -125,015 yen. For the top floor roof (internal insulation), the area is 250.03 square meters, the insulation material is spray-applied rigid polyurethane foam type A1H, the performance specification specifies a thickness of 35 mm and a unit price of 1,690 yen, while the specification specifies a thickness of 0 mm (none) and a unit price of 0 yen, resulting in a cost difference of -422,551 yen. For the exterior wall of the gable unit 1, the area is 235.89 square meters, and the insulation material is spray-applied rigid polyurethane foam type A1H. The performance specifications stipulate a thickness of 50 mm and a unit price of 2,300 yen, while the specification specifications stipulate a thickness of 35 mm and a unit price of 1,690 yen, resulting in a cost difference of -143,891 yen. For the exterior wall of the second end dwelling unit, the area is 1268.87 square meters, and the insulation material is spray-applied rigid polyurethane foam type A1H. The performance specifications stipulate a thickness of 50 mm and a unit price of 2300 yen, while the specification specifications stipulate a thickness of 35 mm and a unit price of 1690 yen, resulting in a cost difference of -774014 yen. For the exterior walls of the interior units, the area is 190.12 square meters, and the insulation material is spray-applied rigid polyurethane foam type A1H. The performance specifications stipulate a thickness of 40 mm and a unit price of 1800 yen, while the specification specifications stipulate a thickness of 35 mm and a unit price of 1690 yen, resulting in a cost difference of -20913 yen. For the lowest floor, the area is 180.99 square meters, and the insulation material is Type A extruded polystyrene foam insulation board, type 3. The performance specification specifies a thickness of 90 mm and a unit price of 4,850 yen, while the specification specifies a thickness of 60 mm and a unit price of 3,000 yen, resulting in a cost difference of -334,832 yen. Regarding the insulation reinforcement, the length is 1327.76 meters, and the type of insulation material is spray-applied rigid polyurethane foam type A1H (L=450). The unit price is 2600 yen according to both the performance-based regulations and the specification-based regulations, resulting in a cost difference of 0 yen. The total cost difference is -1,821,215 yen, indicating that the specified specifications are approximately 1.82 million yen cheaper. The lower part of Figure 9 shows a comparison of window sashes, which are openings. For each size of window sash (small) of 2 square meters or less, window sash (medium) of approximately 3 square meters, window sash (large) of approximately 5 square meters, and window sash (extra large) of over 5 square meters, it lists performance-based window sashes, specification-based window sashes (guided specification standards), number of locations, unit price, and cost difference. Thus, Figure 9 visually illustrates the relationship between insulation costs and energy-saving performance by providing a detailed comparison table of insulation material types, thicknesses, unit prices, and cost differences between performance-based and specification-based standards. Figure 9 shows the results of cost comparison information generation in step S4 of Figure 1, which is generated by the cost comparison information generation unit 54 (Figure 4) and stored in the cost information DB 75 (Figure 4).

[0057] Figure 10 shows an example of how to display the evaluation method in a matrix diagram for the embodiments shown in Figures 1 to 4. As shown in Figure 10, the output control unit 55 (for example, Figure 4) superimposes the evaluation method applied to each dwelling unit onto the matrix diagram in Figure 7, using different colors. Dwelling units to which performance regulations apply are shown in red, and dwelling units to which specification regulations apply are shown in blue. This allows for a clear overview of which evaluation method is applied to which unit in the entire 14-story, 46-unit apartment building. Additionally, the insulation specifications for each dwelling unit (such as the thickness of insulation in the walls, roof, and floor) are displayed in a pop-up window, making it easy to check detailed information. Figure 10 shows a specific example of matrix display and output information presentation in step S5 of Figure 1, which is realized by the output control unit 55 (Figure 4). Figure 10 visually shows the results of the evaluation using a mix of performance-based and specification-based (guided specification standards). The evaluation method is color-coded in a matrix diagram, allowing for a quick understanding of the overall energy efficiency evaluation of the building.

[0058] Figure 11 is a conceptual diagram illustrating the separation of the input layer, processing layer, and output layer, and future support through database updates, for the embodiments shown in Figures 1 to 4. As shown in Figure 11, in this embodiment, the input layer, processing layer, and output layer are clearly separated into a three-layer structure, and this separation structure allows for flexible adaptation to future changes in standards. In the input layer, the following steps S41 to S45 are performed. Specifically, in step S41, user terminal 2-1 performs basic information input. In step S42, server 1 performs the process of saving and storing the entered basic information and transitioning to the next input screen. Basic information input includes building overview (energy-saving regional classification, area size, number of floors, floor height, number of dwelling units, etc.), energy-saving performance level (selection of energy-saving standards, ZEH level, etc.), and floor underlayment conditions (presence or absence of double floor or thermal bridge reinforcement). In step S43, user terminal 2-1 performs building information input. In step S44, server 1 performs the process of saving and storing the entered building information and transitioning to the next input screen. In building information input, floor area, exterior walls, openings, classification, etc. are registered for each dwelling unit type, and the insulation material to be used in the insulation material summary table is registered. In step S45, the creation of the matrix diagram, the building configuration diagram (matrix diagram, birdcage diagram) is created. At this time, the change input / output mode is implemented (for submission to the review body). Steps S41 through S45 correspond to steps S1 (providing the user interface) and S2 (classifying the components) in Figure 1. In the processing layer, in step S46, Server 1 performs an evaluation process based on the data obtained from the input layer as part of its analysis and processing. The processing layer has a structure that allows for flexible calculation formula updates and the generation of various reference formats to accommodate future changes in standards. Step S46 corresponds to steps S3 (evaluation method comparison and selection) and S4 (cost comparison information generation) in Figure 1. In the output layer, the following steps S47 to S52 are performed. Specifically, in step S47, server 1 performs result output. In step S48, server 1 performs generation of appropriate judgment corresponding forms, etc. In step S49, user terminal 2-2 performs download. In step S50, user terminal 2-1 receives and displays the result output. In step S51, user terminal 2-3 submits construction documents. In step S52, user terminal 2-4 receives and downloads the provided documents, including a specification list, various comparison tables, and various procedural forms. Thus, steps S47 to S52 correspond to steps S5 (matrix display and output information presentation) and S6 (result storage and AI proposal generation) in Figure 1. On the right side of the output layer, a future scenario is shown in which the results obtained in the processing layer are output in an easy-to-understand format. By changing the calculation formulas for future analysis and processing and the values ​​of the database itself, the output results can be changed significantly. The following are examples of cases 1 through 5. Case 1 is an example of a shift away from carbon dioxide reduction assessments. Case 2 is an example of a system for the effective use of carbon dioxide being put into practical use. Case 3 is an example of a new energy system being put into practical use. Case 4 is an example of a shift in the global environment from warming to cooling. Case 5 is an example of a proposal for a new energy-saving lifestyle in Japan. Thus, Figure 11 illustrates a mechanism that allows for flexible adaptation to future standard changes and shifts in global affairs by updating the calculation formulas and database of the processing layer, while essentially keeping the input and output layers unchanged. In other words, Figure 11 shows a specific implementation method for adapting to future standards, which is realized by the update unit 57 (Figure 4) and the parameter DB 77 (Figure 4).

[0059] Figure 12 is a tabular diagram showing the screen menu configuration of the system according to the embodiment shown in Figures 1 to 4. As shown in Figure 12, the user interface provided in this embodiment has a hierarchical menu structure, and the screen transitions in the following order: 0: Introduction, 1: Opening menu, 2: Submenu (Mode menu), 3: Initial setting menu 1 (Planning, Time functions, etc.), 4: Initial setting menu 2 (Proposal for building owner soil materials), 5: Initial setting menu 3 (Building owner, Insulation verification, Default, Various original proposals, Call function), and 6: Flow of detailed work combinations in various modes. Thus, the user interface shown in Figure 12 consists of a hierarchical menu structure ranging from the introduction to various mode selections, initial settings, and workflow, providing a mechanism that allows users to select the appropriate screen according to their knowledge level and stage of work. Figure 12 shows the specific menu configuration for providing the user interface in step S1 of Figure 1, which is realized by the user interface provisioning unit 51 (Figure 4).

[0060] Figure 13 is a diagram showing a list of work modes provided by the user interface of the embodiments shown in Figures 1 to 4. As shown in Figure 13, the user interface of this embodiment has a total of 20 work modes, from work mode 1 to work mode 20, and each work mode corresponds to a specific function and application stage. By systematically organizing the work modes as 1 through 20 in this way, the functionality and application stages of each work mode become clear. As a result, users can select the appropriate work mode according to their work stage and receive consistent energy-saving evaluation support from the planning stage to the post-completion management stage. Figure 13 shows the configuration of the work mode that becomes possible when the user interface is provided in step S1 of Figure 1, and is realized by the user interface providing unit 51 (Figure 4).

[0061] Figure 14 shows an example of precautions regarding thermal insulation installation for the embodiments shown in Figures 1 to 4. As shown in Figure 14, the output control unit 55 (for example, Figure 4) provides a cross-sectional view indicating points to pay attention to during insulation work. Specifically, the construction methods for under-beam insulation and side-beam insulation in the lowest-floor units, the construction methods for under-foundation insulation, and areas where insulation defects should be noted around equipment (pipe penetrations, etc.) are visually shown using cross-sectional diagrams. For example, regarding under-beam insulation, the document outlines points to consider when installing insulation material under beams, and methods for preventing insulation defects at the junction between beams and exterior walls. Regarding beam side insulation, the installation sequence and method for fixing the insulation material to the side of the beam are shown. Regarding insulation under the foundation, methods for arranging insulation material at the junction of the foundation and the floor, and methods for preventing insulation defects in the foundation walls are described. Regarding areas around equipment where insulation defects may be a concern, the method of installing insulation material and sealing the penetrations where pipes and ducts penetrate the insulation layer will be shown. This allows installers to visually understand the key points of insulation work, prevent insulation defects, and ensure energy-saving performance as designed. Figure 14 corresponds to work mode 9 (insulation installation confirmation (precautions) explanation function) in Figure 13, and is implemented by the output control unit 55 (Figure 4).

[0062] Although not shown in the diagram here, the evaluation unit 53 (for example, Figure 4) and the output control unit 55 (for example, Figure 4) can execute the flow of the envelope standard compliance review at each stage from the basic planning stage to the on-site supervision stage. In step S61, during the basic planning stage, basic building information (regional classification, number of floors, structure, subflooring, etc.) is entered, and the target energy-saving performance level (energy-saving standards, low-carbon building level standards, ZEH-M Oriented, ZEH-Oriented, high-level ZEH, etc.) is set. In step S62, during the basic design phase, dwelling unit classification (top floor unit, middle floor unit, bottom floor unit, end unit, middle unit) is performed, and detailed information such as the length of the exterior wall and the area of ​​openings for each dwelling unit is entered. In step S63, during the detailed design phase, evaluations using two evaluation methods—performance-based and specification-based—are compared, and the most suitable evaluation method is selected for each dwelling unit. In step S64, during the detailed design phase, a cost comparison table showing the relationship between insulation costs and energy-saving performance is created and proposed to the client. In step S65, during the detailed design phase, documents necessary for various procedures such as energy efficiency compliance assessment and BELS (Building Energy-efficiency Labeling System) are prepared. In step S66, during the construction phase, a detail drawing showing points to be careful of during insulation work is created and provided to the contractor. In step S67, during the on-site supervision phase, the construction status is confirmed, and if design changes occur, a re-evaluation is carried out. In step S68, after completion, the completion drawings are prepared and handed over to the building manager. Thus, the flow chart consisting of steps S61 to S68 shows a series of flow charts for reviewing compliance with building envelope standards from the basic planning stage to the post-completion stage, and clearly defines the work to be performed at each stage. In other words, the flow consisting of steps S61 to S68 is an extension of the processing of steps S1 to S6 in Figure 1, following the timeline of an actual construction project, and is realized by the evaluation unit 53 (Figure 4) and the output control unit 55 (Figure 4).

[0063] Figure 15 is a diagram illustrating the path from outsourcing to a major shift to a DIS (Digital Insourcing System) in the embodiments shown in Figures 1 to 4. As shown in Figure 15, the time series from the end of the Showa era to 2045 shows a major shift in the construction industry's business model, from being centered on outsourcing to being centered on in-house production utilizing digital technology (DIS: Digital Insourcing System). From the late Showa era to the early Heisei era, outsourcing to external specialists (external personnel) was the mainstream approach. From the mid-Heisei era to the late Heisei era, in addition to outsourcing to external specialists, some digitalization (external / human + digital) progressed. In the early Reiwa era (around 2025), outsourcing and digitalization are progressing in parallel (external and digital). Around 2030, it is predicted that in-house production and digitalization (internal and digital) will become more widespread. Around 2040, it is predicted that advanced in-house digital production (internal digital + AI) utilizing AI3 and AI learning data as shown in Figure 2 will be realized. It is predicted that around 2045, the era of a complete DIS (Digital Insourcing System) (internal AI + DIS) will arrive. In this transition, the system of this embodiment plays an important role in supporting the shift from a business model based on outsourcing to a business model aimed at DIS (Distributed Information System). Specifically, by utilizing this system, energy efficiency evaluation work, which was previously outsourced to external specialists, can now be carried out in-house, resulting in cost reduction and improved operational efficiency. Furthermore, in the future, it will be possible to realize a function in which the AI ​​3 (Figure 2), which has learned from past evaluation data, automatically generates the optimal proposal using the proposal information generation unit 56 (Figure 4) and AI learning data. Figure 15 shows that the system of this embodiment is an important tool for promoting digital transformation (DX) across the entire construction industry and realizing a major shift from outsourcing to DIS.

[0064] Figure 16 shows a diagram illustrating the predicted business model of a company that assumes outsourcing, as well as a diagram illustrating the predicted business model of a company aiming for DIS, based on the embodiments of Figures 1 to 4.

[0065] Figure 16, part HA, is a diagram showing the predicted business model of a company assuming outsourcing, based on the embodiments shown in Figures 1 to 4. As shown in Figure HA, the changes in the arrangement and relationships of management, internal personnel, external personnel, digital technology, AI, AGI (Artificial General Intelligence), and ASI (Superintelligence) in outsourcing-based companies (companies that rely on external services) from the late Showa era to 2045 are illustrated in the time series. In the late Showa era, management and administration were staffed by people, while the main operations relied on external personnel (outsourced contractors). In the early Heisei era, management and administrative positions remained human, with people existing internally and continued to rely on external individuals. During the mid-Heisei period, the management and administrative layers remained human, with a structure where humans and digital systems were integrated internally, and humans and external digital systems existed externally. In the early Reiwa era, management and administrative levels were digitized, and a structure continued where humans and digital systems were deployed internally, while humans and external digital systems existed externally. By 2025, management and administration will be separated into human and digital elements, with humans and digital elements positioned internally, and external digital elements existing externally. By 2030, management and administration will consist of humans and digital entities, with humans and external digital (AI) entities positioned internally, and external AI entities existing externally. By 2040, management and administration will be separated into humans and AI, with humans and internal AI deployed internally, multiple external AIs existing externally, and furthermore, external AGI (Artificial General Intelligence) will emerge. In 2045, it is predicted that the management and administrative layers will consist of humans and AGI, with humans (represented as "???" and their roles unclear) positioned internally, and external ASI (superintelligence) appearing externally. Thus, in companies that rely on outsourcing, as time progresses, their dependence on external entities increases, particularly shifting towards reliance on advanced external intelligence such as AI, AGI, and ASI. This blurs the roles of internal personnel, and ultimately leads to a situation where even management and supervisory levels become dependent on external AGI and ASI, increasing the risk of losing corporate autonomy and competitiveness. Thus, Figure HA visually illustrates the future risks if the system of this embodiment is not implemented and the conventional outsourcing-based management continues.

[0066] Figure 16, part HB, is a diagram showing the predicted business model of a company aiming for DIS according to the embodiments of Figures 1 to 4. As shown in Figure HB, the changes in the arrangement and relationships of management / administrative staff, internal personnel, external personnel, digital technology, AI, DIS, life (creative tasks that should be handled by humans), and rice (routine tasks that should be made more efficient) over time from the late Showa era to 2045 in companies aiming for DIS (DIS / self-reform type companies). In the late Showa era, management and administrative positions were staffed by people, and while there was a certain degree of reliance on external personnel, the proportion of internal personnel was higher compared to companies that assumed outsourcing as shown in Figure 17-HA. In the early Heisei era, management and administrative positions remained human, with people positioned internally to limit reliance on external personnel while maintaining internal operational capabilities. During the mid-Heisei period, management and administration were separated into human and digital elements, with humans and digital elements positioned internally, and external individuals existing externally. In the early Reiwa era, management and administrative roles were separated into humans and AI, with humans and digital systems positioned internally. The concept of "life" (the creative work area that humans should handle) was clarified, resulting in a structure that minimized reliance on external resources. In 2025, management and administration will consist of humans and AI, with a Digital Insourcing System (DIS) implemented internally. The concepts of "life" and "rice" (routine tasks that should be made more efficient) will be clearly separated, and an autonomous work execution system will be established through the internal DIS. In 2030, management and administration will consist of humans and AI, with internal DIS and internal AI in place. The domains of "life" and "rice" will be further clarified, and internal DIS will evolve into AI (referred to as AI under internal DIS). A model will be established where humans focus on creative tasks (life), and routine tasks (rice) are handled by AI. In 2040, management and administration will consist of humans and AI, with multiple internal AI systems deployed. The "life" domain will be maintained and expanded, while the "rice" domain will be entirely handled by AI, creating an environment where humans can concentrate on tasks requiring advanced judgment and creativity. By 2045, it is predicted that management and administration will be primarily staffed by internal personnel, with internal ASIs (superintelligence) deployed within the company. Multiple AIs will support "life" (business operations), while "rice" (business operations) will be entirely handled by AI. In this scenario, a corporate structure will be realized where humans are at the center of management and administration, while fully utilizing AI. Thus, in companies aiming for DIS (Distributed Integrative Services), as time progresses, the use of digital technology and AI within the company will advance, minimizing reliance on external sources. A model will be established where humans can concentrate on creative tasks (life), and routine tasks (rice) will be efficiently handled by AI. Ultimately, humans will be at the center of management and administration, and an autonomous and highly competitive corporate entity will be realized that fully utilizes advanced AI, including internal ASI (Autonomous AI Integration). Thus, Figure HB visually illustrates how a company that has achieved a transition to DIS by utilizing the system of this embodiment can strengthen its sustainable competitiveness and adapt to the AI ​​era while maintaining human-centered management.

[0067] Figure 17 is a diagram showing the analysis and strategy of the goals and positioning of the energy-saving support system according to the embodiments shown in Figures 1 to 4. As shown in Figure 17, the functions of this system are systematically organized in a table format. On the horizontal axis, the development stages are arranged as follows: Stage 1 (Internal and External Standardization Function), Stage 2 (Trial Period with Important Customers), Stage 3 (General Sales Launch (Pilot Operation)), and Stage 4 (General Sales (Major Version Upgrade)). The vertical axis displays function genre, function number, new / old classification, function name, function overview, compatible software, internal efficiency improvement functions, and the status of provision at each stage. In Figure 17, the functions of this system are classified into five functional categories. The first functional category is "Proposal 1 for Functions Not Prevalent in the Business: Startup Function (Insourcing 1)," which includes four functions, No. 1 through 4. Feature No. 1 is the 1-hour proposal creation function, its function overview is an ultra-simple verification function, it is marked with a star in the "Compatible Software, etc." section and also in the "Internal Efficiency Improvement Function" section, and is provided from the first stage. Function No. 2 is a half-day document creation function. Its function overview is a simple verification function, and it is marked with a star in the "Compatible Software, etc." column and also in the "Internal Efficiency Improvement Function" column. It is provided from the first stage. Function No. 3 is a daily document creation function, and its function overview is a simple cost estimation document creation function. It is marked with a star in the "Compatible Software, etc." column and also in the "Internal Efficiency Improvement Function" column, and is provided from the first stage. Function No. 4 is a daily document creation plus function. Its function overview is a thermal insulation specification creation function. It is marked with a star in the "Compatible Software, etc." column and also in the "Internal Efficiency Improvement Function" column, and is provided from the first stage. Features No. 1 through 4 are all labeled "NEW" in both the old and new categories, indicating that they are new features not previously seen in the industry. The second functional category is "Proposals for Businesses Not Prevalent 2: The Path to Professionalism (Insourcing 2)," which includes three functions, No. 5 through 7. Function No. 5 is a function to assist with detailed design and site management. Its function overview is a function for creating detailed insulation detail drawings. It is marked with a star in the "Compatible Software, etc." column and is provided from the second stage onwards. Function No. 6 is a function for becoming an energy-saving practitioner. Its function overview is a function that explains basic knowledge of insulation. It is marked with a star in the section for compatible software, etc., and is provided from the second stage. Function No. 7 is an evaluation method selection advice function. Its function overview is an energy-saving specification comparison and review function. A star mark is displayed in the column for compatible software, etc., and it is provided from the second stage. Functions No. 5 through 7 are all marked as "NEW" in both the old and new categories, indicating that they are new functions designed to support skill development for practitioners. The third functional category consists of existing outsourcing functions, which include seven functions: functions No. 8 through 13 and 16. Function No. 8 is standard calculation (detailed calculation), the function overview is thermal insulation evaluation (performance specification), the column for compatible software etc. states "existing energy-saving software", and the column for in-house efficiency improvement functions states "decision to take action will be made based on the situation". Function No. 9 is a recalculation of the standard calculation (detailed calculation), the function overview is an insulation change consideration (performance specification), the column for compatible software etc. states "existing energy-saving software", and the column for in-house efficiency improvement functions states "decision to take action will be made based on the situation". Function No. 10 is a specification evaluation (specifications and guided specification standards), the function overview is a thermal insulation evaluation (specification regulations), "existing energy-saving software" is written in the "compatible software, etc." column, and "implementation target" is written in the "internal efficiency improvement function" column. Function No. 11 is a specification evaluation change check, the function overview is insulation change consideration (specification specification), "existing energy-saving software" is written in the "compatible software, etc." column, and "implementation target" is written in the "internal efficiency function" column. Function No. 12 is API integration with the Ministry of Land, Infrastructure, Transport and Tourism's primary energy calculation server. The function overview is primary energy evaluation (specification specification), and "existing energy-saving software" is listed in the "compatible software, etc." section, and "implementation target" is listed in the "internal efficiency improvement function" section. Function No. 13 is API integration with the Ministry of Land, Infrastructure, Transport and Tourism's primary energy calculation server. The function overview is primary energy change consideration (performance), and "existing energy-saving software" is listed in the "compatible software, etc." section, and "implementation target" is listed in the "internal efficiency improvement function" section. Function No. 16 is for outputting legal forms, the function description is for application form output (legal form), and the "compatible software, etc." section states "existing energy-saving software." Functions No. 8 through 13 and 16 are all labeled "OLD" in both the new and old classifications, indicating that they are existing functions that work in conjunction with existing energy-saving specialized software and external system 4 (Figure 2). The fourth functional category is a new functionality: the consulting request function, which includes three functions: functions No. 14, 15, and 17. Function No. 14 is for requesting consultations and coordinating advice, the function overview is for requesting detailed energy-saving consultations, and a star mark is displayed in the section for compatible software, etc. Function No. 15 is "Consulting Services Execution," the function overview is "Detailed Energy Saving Consulting Support," and a star mark is displayed in the "Supported Software, etc." column. Function No. 17 is compatible with various review organizations, and its function overview is the import and output of application forms. A star mark is displayed in the column for compatible software, etc. Functions No. 14, 15, and 17 are all labeled "NEW" in both the old and new categories, indicating that they are new functions that complement energy saving calculations through consulting rather than developing new dedicated energy saving calculation software. The fifth functional category is new developments (functional evolution), and includes four functions, Nos. 18 through 21. Function No. 18 is a building management-related function, and is marked with a star in the "Compatible Software, etc." column, and will be provided in the fourth stage. Function No. 19 is a building renovation-related function, and is marked with a star in the "Compatible Software, etc." column, indicating that it will be provided in the fourth stage. Function No. 20 is a BIM integration function, and is marked with a star in the "Compatible Software, etc." column, and will be provided in the fourth stage. Function No. 21 is the AI ​​integration function (integration with AI3 in Figure 2, the proposed information generation unit 56 in Figure 4, and the AI ​​learning data DB 79), and is marked with a star in the column for compatible software, etc., and will be provided in the fourth stage. Functions No. 18 through 21 are both labeled "NEW" in their old and new classifications, indicating that they are planned as future functional enhancements. Thus, Figure 17 illustrates the strategy by which the system of this embodiment will evolve from a simple energy-saving calculation tool to an industry-wide business platform by gradually expanding its functions, and shows the future outlook for result storage, AI proposal generation, and collaboration with external system 4 (Figure 2) in step S6 of Figure 1.

[0068] Figure 18 is a diagram showing the analysis and strategy of the goals and positioning of the energy-saving support system according to the embodiments shown in Figures 1 to 4. Figure 18 shows the development stages of the system to which the present invention is applied, in chronological order from left to right. The leftmost section is labeled "Startup / Project Proposal," indicating the initial stage of this system. To the right of that is written "Second Stage," further to the right is "Third Stage," and on the far right is "Fourth Stage," illustrating how the system develops in stages. At the top of Figure 18, "Existing Outsourcing Services" is listed as "Insulation: Specification Regulations (Specification Standards, Guideline Specification Standards)," indicating the scope of outsourced services in the industry as it has been done in the past. In the center of Figure 18, there is an area labeled "DIS (Digital Insourcing System or Support)," which indicates the scope of the system in this embodiment. Within this DIS area, the functions of the system at each stage are arranged. The second stage describes the integration of existing energy-saving specialized software and existing dedicated business software with the Ministry of Land, Infrastructure, Transport and Tourism's calculation program for "thermal insulation: performance-based calculations (standard calculations, detailed calculations)" and "primary energy evaluation (performance-based calculations)," serving as a "receptacle for outsourcing." The third stage includes "existing outsourcing work," specifically "insulation: performance specifications (standard calculation, detailed calculation)" using "existing specialized software," and further states that it will be "supplemented by consultants." This demonstrates a strategy of complementing energy-saving calculations not by developing new dedicated software, but by integrating with existing software and providing consulting services. Furthermore, the third phase indicates that integration with "existing energy-saving specialized software" and "existing dedicated business software" will continue. The fourth stage includes "new developments (functional advancements)," specifically "BIM integration" and "AI integration," and plans for future functional enhancements through integration with AI3 in Figure 2, the proposed information generation unit 56 in Figure 4, and AI learning data. At the bottom of Figure 20, two functions are arranged cross-sectionally as part of the "Path to Professionalism" feature. The first is the "Path to Professionalism Function: Acquisition of Fundamental and Essential Knowledge," a function provided from the startup phase to the second stage. The second is the "Path to Professionalism Function: Sharing of Knowledge, Awareness, and Technology with Contractors, Review Bodies, and Building Managers," a function provided from the third to the fourth stage. The term "insourcing" in Figure 18 refers to a departure from traditional outsourcing models, enabling companies and organizations to perform specialized tasks internally using digital tools. The system of this embodiment is positioned as a DIS (Digital Insourcing System or Support) that assists in this insourcing process. Figure 18 shows a strategic roadmap illustrating how the system of this embodiment will evolve from the startup stage to the fourth stage, developing in stages that complement and work in conjunction with existing energy-saving specialized software, rather than completely replacing it. Ultimately, it will evolve into a comprehensive platform that drives the digital transformation of the entire building industry by implementing advanced functions such as BIM integration and AI integration. Figure 18 visually illustrates a concrete example of result accumulation, AI proposal generation, and collaboration with external system 4 (Figure 2) in step S6 of Figure 1, clearly showing the position of the system of this embodiment within the overall industry ecosystem and how it will develop in collaboration with other systems and external resources.

[0069] Although one embodiment of the present invention has been described above, the present invention is not limited to the embodiments described above, and any modifications, improvements, etc. that can achieve the objectives of the present invention are considered to be included in the present invention.

[0070] Furthermore, the system configuration shown in Figure 2 and the hardware configuration of Server 1 shown in Figure 3 are merely illustrative examples for achieving the objectives of the present invention and are not particularly limited.

[0071] Furthermore, the functional block diagram shown in Figure 4 is merely illustrative and not particularly limiting. In other words, it is sufficient for the information processing system in Figure 2 to have the functionality to execute the various processes described above as a whole, and the functional blocks and databases used to realize this functionality are not limited to the example in Figure 4.

[0072] Furthermore, the location of the functional blocks and database is not limited to Figure 4, but can be any location. For example, at least a portion of the functional blocks and database located on the server 1 side may be provided on the user terminal 2 side, the AI ​​3 side, the external system 4 side, or other information processing devices (not shown). Furthermore, although AI3 was located outside the server 1 in the above embodiment, it is not limited to this and may be located inside the server 1.

[0073] Furthermore, the series of processes described above can be executed by hardware or by software. Furthermore, a single functional block may consist of hardware alone, software alone, or a combination of both.

[0074] When a series of processes are executed by software, the programs that make up that software are installed on a computer or other device from a network or storage medium. The computer may be a computer that is built into dedicated hardware. Furthermore, a computer can be any computer capable of performing various functions by installing various programs, such as a server, a general-purpose smartphone, or a personal computer.

[0075] Such recording media containing programs may consist not only of removable media (not shown) distributed separately from the main unit of the device to provide the program to the user, but also of recording media provided to the user in a state where they are pre-installed in the main unit of the device.

[0076] In this specification, the step of describing a program to be recorded on a recording medium includes not only processes that are performed chronologically in that order, but also processes that are not necessarily performed chronologically, but are executed in parallel or individually.

[0077] In summary, the information processing device to which the present invention applies only needs to have the following configuration, and can take various forms. That is, the information processing device to which the present invention is applied (for example, Server 1 in Figures 2 to 4) is: A user interface providing means (e.g., user interface providing unit 51 in Figure 4) provides a user terminal (e.g., user terminal 2 in Figure 2) with a user interface that has at least the following functions: a function to select an operation mode (e.g., beginner mode, original standard mode, and professional-only mode in Figure 5) corresponding to multiple user knowledge levels (e.g., beginner level, intermediate level, and advanced level in Figure 5); a function to acquire information about the target building as target building information according to the selected operation mode; and a function to present output information output from the information processing device. Based on the target building information obtained through the user interface, a classification means (for example, the classification unit 52 in Figure 4, the matrix diagram in Figure 7, and the dwelling unit classification table in Figure 8) classifies the components of the target building according to their location and arrangement, For each of the classified components of the target building, an evaluation means (for example, the evaluation unit 53 in Figure 4, steps S26 and S27 in Figure 6, and the color-coded display of evaluation methods in Figure 10) compares the evaluations from each of multiple evaluation methods and selects the evaluation result from the appropriate evaluation method among the multiple evaluation methods based on the comparison results. Output control means (for example, output control unit 55 in Figure 4, steps S28 to S30 in Figure 6) that generates output information indicating the evaluation result selected by the evaluation means for each classified component of the target building, and executes control to present the output information from the user interface, Having that will suffice.

[0078] In this way, it becomes possible to form a common understanding among stakeholders with different areas of expertise, and to improve work efficiency and optimize costs through optimal evaluation tailored to the characteristics of each component.

[0079] Furthermore, the aforementioned user knowledge levels include beginner level, intermediate level, and advanced level. The aforementioned operating modes may include at least a beginner mode corresponding to the beginner level, an original standard mode corresponding to the intermediate level, and a professional-only mode corresponding to the advanced level (for example, Figure 5).

[0080] This allows even clients with limited expertise to easily operate the system, while enabling designers with specialized knowledge to make detailed settings, thus facilitating the formation of a shared understanding among diverse stakeholders using the same system.

[0081] Furthermore, the components of the subject building include dwelling units, The classification means can classify the dwelling units into floor-level units, intermediate-level units, and lower-level units, and into plan-level units, such as end-floor units and middle units (for example, Figures 7 and 8).

[0082] This allows for accurate evaluation of differences in thermal characteristics depending on the location of each dwelling unit, enabling the selection of the optimal insulation specifications for each unit's conditions. This makes it possible to achieve both compliance with energy-saving standards and cost reduction while avoiding over-design.

[0083] Furthermore, the aforementioned multiple evaluation methods include a first evaluation method based on performance specifications and a second evaluation method based on specification specifications. The evaluation means compares the evaluation results from the first evaluation method and the second evaluation method and selects an evaluation method suitable for each of the classified components (for example, Figures 6, 9, and 10). It is possible.

[0084] This allows for the optimization of the balance between cost efficiency and energy-saving performance, and enables the proposal of the optimal combination, by using the flexibility of performance regulations and the simplicity of specification regulations according to the conditions of each dwelling unit.

[0085] Furthermore, the system further includes a cost comparison information generation means (for example, the cost comparison information generation unit 54 in Figure 4, Figure 9) that generates cost comparison information showing the relationship between the thermal insulation cost and energy-saving performance of the target building evaluated by the evaluation means, The output control means can perform control to present the output information, including the cost comparison information, from the user interface.

[0086] This visually demonstrates the relationship between insulation costs and energy efficiency, enabling building owners and designers to make decisions that consider both cost and performance aspects.

[0087] Furthermore, the output control means can display the layout of the dwelling units in the target building in a matrix format and perform a process to superimpose the evaluation method and insulation specifications applicable to each dwelling unit onto the matrix (for example, Figures 7 and 10).

[0088] This allows for a quick understanding of how evaluation methods are being applied to complex housing unit configurations, thereby facilitating the formation of a shared understanding among stakeholders.

[0089] Furthermore, a database (for example, parameter DB77 in Figure 4) is used to store parameters for responding to future changes in energy conservation standards. An update means (for example, the update unit 57 in Figure 4) for updating the parameters stored in the database, Furthermore, The evaluation means can perform an evaluation based on the updated parameters (for example, updating the database in the processing layer of Figure 6).

[0090] This allows for rapid response to changes in energy conservation standards resulting from shifts in global affairs and environmental policies. Since only the processing unit can be updated while maintaining the input / output interface, it minimizes the user's relearning costs while enabling compliance with the latest standards. [Explanation of symbols]

[0091] 1...Server, 2...User terminal, 2-1...User terminal, 2-2...User terminal, 2-3...User terminal, 2-n...User terminal, 3...AI, 4...External system, N...Network, 11...CPU, 12...ROM, 13...RAM, 14...Bus, 15...Input / Output interface, 16...Input section, 17...Output section, 18...Storage section, 19...Communication section, 20...Drive, 21...Removable media 51...User Interface Provision Unit, 52...Classification Unit, 53...Evaluation Unit, 54...Cost Comparison Information Generation Unit, 55...Output Control Unit, 56...Proposal Information Generation Unit, 57...Update Unit, 71...Target Building Information DB, 72...Classification Information DB, 73...Evaluation Method DB, 74...Evaluation Result DB, 75...Cost Information DB, 76...Output Information DB, 77...Parameter DB, 78...Proposal Information DB, 79...AI Learning Data DB,

Claims

1. An information processing device that supports the energy efficiency evaluation of buildings, A user interface providing means that provides a user terminal with a user interface having at least the following functions: a function to select an operation mode according to multiple user knowledge levels; a function to acquire information about the target building as target building information according to the selected operation mode; and a function to present output information output from the information processing device. A classification means for classifying the components of the target building according to their location and arrangement based on the target building information obtained through the user interface, An evaluation means that compares the evaluations obtained by each of the multiple evaluation methods for each of the classified components of the target building, and selects the evaluation result of the appropriate evaluation method from among the multiple evaluation methods based on the comparison results, Output control means that generates output information indicating the evaluation result selected by the evaluation means for each classified component of the target building, and performs control to present the output information from the user interface, An information processing device equipped with the following features.

2. The aforementioned user knowledge levels include beginner, intermediate, and advanced levels. The aforementioned operating modes include at least a beginner mode corresponding to the beginner level, an original standard mode corresponding to the intermediate level, and a professional-only mode corresponding to the advanced level. The information processing apparatus according to claim 1.

3. The components of the aforementioned building include dwelling units, The classification means classifies the dwelling units into floor-level units, intermediate-level units, and lower-level units, and floor-level units, and into plan-level units, The information processing apparatus according to claim 1.

4. The aforementioned multiple evaluation methods include a first evaluation method based on performance specifications and a second evaluation method based on specification specifications. The evaluation means compares the evaluation results obtained by the first evaluation method and the second evaluation method and selects an evaluation method suitable for each of the classified components. The information processing apparatus according to claim 1.

5. The system further comprises cost comparison information generation means for generating cost comparison information showing the relationship between the thermal insulation cost and energy-saving performance of the target building evaluated by the evaluation means, The output control means performs control to present the output information, including the cost comparison information, from the user interface. The information processing apparatus according to claim 1.

6. The output control means performs a process that displays the layout of dwelling units in the target building in a matrix format and superimposes the evaluation method and insulation specifications applicable to each dwelling unit onto the matrix. The information processing apparatus according to claim 1.

7. A database that stores parameters to accommodate future changes in energy conservation standards, An update means for updating the parameters stored in the database, Furthermore, The evaluation means performs the evaluation based on the updated parameters. The information processing apparatus according to claim 1.

8. An information processing method performed by an information processing device that supports the energy efficiency evaluation of buildings, A user interface provision step provides a user terminal with a user interface that has at least the following functions: a function to select an operation mode according to multiple user knowledge levels; a function to acquire information about the target building as target building information according to the selected operation mode; and a function to present output information output from the information processing device. A classification step of classifying the components of the target building according to their location and arrangement based on the target building information obtained through the user interface, An evaluation step in which, for each of the classified components of the target building, the evaluations obtained using multiple evaluation methods are compared, and based on the results of that comparison, the evaluation result of the appropriate evaluation method is selected from among the multiple evaluation methods. Output control step: For each classified component of the target building, generates output information indicating the evaluation result selected in the evaluation step, and performs control to present the output information from the user interface. Information processing methods including

9. A computer that supports the energy efficiency evaluation of buildings, A user interface provision step provides a user terminal with a user interface that has at least the following functions: a function to select an operation mode according to multiple user knowledge levels; a function to acquire information about the target building as target building information according to the selected operation mode; and a function to present output information output from the information processing device. A classification step of classifying the components of the target building according to their location and arrangement based on the target building information obtained through the user interface, An evaluation step in which, for each of the classified components of the target building, the evaluations obtained using multiple evaluation methods are compared, and based on the results of that comparison, the evaluation result of the appropriate evaluation method is selected from among the multiple evaluation methods. Output control step: For each classified component of the target building, generates output information indicating the evaluation result selected in the evaluation step, and performs control to present the output information from the user interface. A program that executes control processes, including those mentioned above.

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