Renovation work proposal device, renovation work proposal method, and renovation work proposal program

Abstract

To propose renovation work based upon objective facts.SOLUTION: A renovation work proposal device comprises: a heat insulation performance estimation part which uses an index indicative of heat insulation performance of a building to estimate the heat insulation performance of the building through nondestructive inspection; a heat image acquisition part which acquires a heat image as an image obtained by visualizing heat of the building captured by using an imaging apparatus capable of visualizing heat accumulated in the building; a heat loss part specification part which uses the acquired heat image and a learned heat loss part specification model for specifying a heat loss part included in the building; a renovation work selection part which selects renovation work effective to the specified heat loss part from a renovation work list; a post-renovation index estimation part which estimates a post-renovation index as an index for a case of renovation on the heat insulation performance through the selected renovation work; a score calculation part which scores the estimated post-renovation index to calculate a score; and a display control part which displays the calculated score.SELECTED DRAWING: Figure 2A

Description

[Technical Field]

[0001] The present invention relates to a repair work proposal device, a repair work proposal method, and a repair work proposal program. [Background technology]

[0002] In the above technical field, Patent Document 1 discloses a technology for extracting the wishes of a customer who wishes to remodel using a checklist of item selections and selecting a construction method according to the extracted wishes (paragraphs

[0017] to

[0019] of the same document, claim 1, etc.). Furthermore, Patent Document 2 discloses a technology for accepting problems that a customer feels, selecting from a storage unit a remodeling method for improving the problems, and displaying the selected method (paragraphs

[0055] ,

[0062] of the same document, claim 1, etc.). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2012-146186 [Patent Document 2] Patent Publication No. 2021-47750 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the techniques described in Patent Documents 1 and 2 propose repair work based on the customer's subjective opinion, and are unable to propose repair work based on objective facts. [Means for solving the problem]

[0005] In order to achieve the above object, the repair work proposal device according to the present invention comprises: an insulation performance estimation unit that estimates the insulation performance of the building by non-destructive testing using an index that represents the insulation performance of the building; a thermal image acquisition unit that acquires a thermal image of the building, the thermal image being an image that visualizes the heat accumulated in the building, captured using an imaging device that can visualize the heat; a heat loss portion identification unit that identifies a heat loss portion included in the building using the acquired thermal image and a trained heat loss portion identification model for identifying a heat loss portion included in the building; a repair work selection unit that selects from a list of repair works effective for the identified heat loss portion; a post-repair index estimation unit that estimates a post-repair index as the index when the thermal insulation performance is repaired by the selected repair work; a score calculation unit that calculates a score by scoring the estimated post-modification index; a display control unit that displays the calculated score; Equipped with.

[0006] In order to achieve the above object, the repair work proposal method according to the present invention includes: an insulation performance estimation step of estimating the insulation performance of the building by non-destructive testing using an index representing the insulation performance of the building; a thermal image acquisition step of acquiring a thermal image of the building, the thermal image being an image that visualizes the heat accumulated in the building, captured using an imaging device that can visualize the heat; a heat loss portion identification step of identifying a heat loss portion included in the building using the acquired thermal image and a trained heat loss portion identification model for identifying a heat loss portion included in the building; a repair work selection step of selecting from a list of repair works effective for the identified heat loss portion; A post-repair index estimation step of estimating a post-repair index as the index when the thermal insulation performance is improved by the selected repair work; a score calculation step of calculating a score by scoring the estimated post-modification index; a display control step of displaying the calculated score; Includes:

[0007] Furthermore, in order to achieve the above object, the renovation work proposal program according to the present invention comprises: an insulation performance estimation step of estimating the insulation performance of the building by non-destructive testing using an index representing the insulation performance of the building; a thermal image acquisition step of acquiring a thermal image of the building, the thermal image being an image that visualizes the heat accumulated in the building, captured using an imaging device that can visualize the heat; a heat loss portion identification step of identifying a heat loss portion included in the building using the acquired thermal image and a trained heat loss portion identification model for identifying a heat loss portion included in the building; a repair work selection step of selecting from a list of repair works effective for the identified heat loss portion; A post-repair index estimation step of estimating a post-repair index as the index when the thermal insulation performance is improved by the selected repair work; a score calculation step of calculating a score by scoring the estimated post-modification index; a display control step of displaying the calculated score; to be executed by the computer. [Effects of the Invention]

[0008] According to the present invention, it is possible to propose repair work based on objective facts. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a diagram for explaining an overview of the operation of the repair work proposal device according to the first embodiment of the present invention. FIG. [Figure 2A] 1 is a block diagram for explaining the configuration of a repair work proposal device according to a first embodiment of the present invention. [Figure 2B] 3 is a diagram for explaining a method for identifying a heat loss portion in the repair work proposal device according to the first embodiment of the present invention. FIG. [Figure 2C] FIG. 10 is another diagram for explaining the method for identifying a heat loss portion in the repair work proposal device according to the first embodiment of the present invention. [Figure 3] 3 is a diagram showing an example of a repair work list table included in the repair work proposal device according to the first embodiment of the present invention. FIG. [Figure 4] 1 is a diagram for explaining the hardware configuration of a repair work proposal device according to a first embodiment of the present invention. FIG. [Figure 5] 3 is a flowchart illustrating a processing procedure of the repair work proposal device according to the first embodiment of the present invention. [Figure 6] FIG. 4 is a block diagram for explaining the configuration of a repair work proposal device according to a second embodiment of the present invention. [Figure 7] FIG. 10 is a diagram showing an example of a repair work cost table of the repair work proposal device according to the second embodiment of the present invention. [Figure 8] FIG. 10 is a diagram illustrating the hardware configuration of a repair work proposal device according to a second embodiment of the present invention. [Figure 9] 10 is a flowchart illustrating a processing procedure of a repair work proposal device according to a second embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, embodiments of the present invention will be described in detail by way of example with reference to the drawings. However, the configurations, numerical values, processing flows, functional elements, etc. described in the following embodiments are merely examples, and are open to modification and alteration, and are not intended to limit the technical scope of the present invention to the following description.

[0011] [First embodiment] A repair work proposal device according to a first embodiment of the present invention will be described with reference to Figures 1 to 5. Figure 1 is a diagram for explaining an overview of a repair work proposal device 100 according to this embodiment.

[0012] First, the energy conservation standards for new homes were established in 1980 under the Energy Conservation Act (1980 Standards), and were strengthened in 1992 and 1999. Currently, the so-called "2016 Energy Conservation Standards" enacted in 2016 are in place. These standards stipulate the insulation and other housing performance that newly constructed homes must meet. As a result, there are homes built before 1980 that do not meet these standards (for example, homes without insulation). Note that energy conservation standards are aspirational targets, and it is possible to build a home even if it does not meet the specified housing performance.

[0013] Of the inhabited housing stock (approximately 52.1 million homes), approximately 13 million were built before 1980, and many of these homes do not meet current energy-saving standards or have insufficient energy-saving performance. According to one survey, while approximately 11% of homes meet current energy-saving standards, approximately 89% of homes overall do not meet the current energy-saving standards. Of the homes that do not meet current energy-saving standards, approximately 30% are uninsulated, etc.

[0014] Among these homes, there are some that do not have the original design drawings from when they were built, or that have drawings but do not conform to the specifications, or that have not been constructed properly, so the design performance is not ensured. As a result, it is difficult and time-consuming to conduct performance surveys to check the insulation performance of the home, which means that renovations (renovations) to improve the home's performance do not progress, or renovations appropriate for the home's performance are not carried out.

[0015] Therefore, the renovation work proposal device 100 of this embodiment selects effective renovation work for a building 101 such as a house, using the thermal insulation performance of the building 101, a thermal image of the building 101, and AI (Artificial Intelligence) for identifying heat loss parts of the building 101. The renovation work proposal device 100 then scores and displays the degree of improvement in the thermal insulation performance due to the selected renovation work. This makes it possible to visually recognize the degree of improvement in the thermal insulation performance of the building 101 due to the renovation work, making it easier to propose effective renovations based on objective indicators rather than renovations based on the customer's subjective opinion, and allowing the customer to proceed with the renovations with their consent.

[0016] The renovation work proposed by the renovation work proposal device 100 may be renovation work for the entire building, renovation work for each floor of the building 101, renovation work for each room of the building 101, or renovation work for each part of the building 101. In this way, when the renovation work is not for the entire building, the renovation work proposal device 100 acquires an indoor thermal image 102 as a thermal image and identifies parts of the room that are the subject of the renovation work from which heat escapes (heat loss parts). Then, the renovation work proposal device 100 proposes renovation work for the bedrooms and dining room of the building 101 as renovation work areas to reduce heat loss from the identified heat loss parts.

[0017] In the illustrated example, the renovation work proposal device 100 proposes floor renovations in the dining room, and floor, wall, ceiling, and window renovations in the bedroom. In this way, the renovation work proposal device 100 uses the indoor thermal image 102 (thermal image), which is objective data, to identify heat loss areas in the building 101 and the room, and proposes renovation work. In other words, since there is no room for the subjectivity of the owner or resident of the building 101 to enter into the proposal of renovation work, the renovation work proposal device 100 can reliably improve the insulation performance of the building 101.

[0018] 2A to 2C, the configuration of the repair work proposal device 100 will be described. The repair work proposal device 100 includes an insulation performance estimation unit 201, a thermal image acquisition unit 202, a heat loss portion identification unit 203, a repair work selection unit 204, a post-repair index estimation unit 205, a score calculation unit 206, and a display control unit 207.

[0019] The thermal insulation performance estimation unit 201 estimates the thermal insulation performance of the building 101 by non-destructive testing using an index representing the thermal insulation performance of the building 101. First, the index representing the thermal insulation performance of the building 101 is at least one of the heat loss coefficient and the average outer heat transmission coefficient of the outer skin.

[0020] Here, the heat loss coefficient (Q value) is calculated as follows: when the temperature difference between indoors and outdoors is 1 [°C], the total floor area is 1 [m 2 Q value is the amount of heat that escapes around the building, and is a number that indicates how difficult it is for heat to escape from the building. The smaller the Q value, the more difficult it is for heat to escape from the building. In other words, a building with a small Q value has less heat escaping from the building and is therefore said to have high insulation performance (low heat loss).

[0021] In addition, the average heat transfer coefficient of the outer skin (U A The heat loss value is the average value of the heat loss from the inside of the house to the outside through the roof (ceiling), exterior walls, floors, openings, etc., over the entire exterior, and is calculated by dividing the total heat loss by the surface area of ​​the exterior. A The smaller the value, the less heat escapes and the higher the building's insulation performance (lower heat loss). Here, the exterior skin area refers to the exterior skin such as the roof (ceiling), exterior walls, floor, openings, etc., which form thermal boundaries, as well as the horizontal part of the earthen floor that comes into contact with the ground.

[0022] The amount of heat (amount of heat loss) escaping from each part of the building 101 (ceiling, floor, window, wall) is calculated using the heat transmission coefficient. Specifically, it is calculated by "amount of heat loss (each part) = heat transmission coefficient of each part × area of ​​each part". Also, the amount of heat (amount of heat loss) escaping through ventilation is calculated by the amount of air exhausted per hour [m 3 ], air 1 [m 3This can be calculated by multiplying the amount of heat stored per unit of room by 0.35 kcal. Specifically, it is calculated as "heat loss (ventilation) = ventilation rate x building volume x 0.35".

[0023] From the above formula, the heat loss coefficient (Q value) can be calculated by adding the total heat loss of each part and the heat loss of ventilation, and dividing the result by the total floor area of ​​the building 101. A value) does not include the heat loss from ventilation, and is calculated based on the total floor area, not the total envelope area. 2 In this way, the heat loss coefficient (Q value) and the average outer heat transfer coefficient (U A value) is calculated.

[0024] The heat insulation performance estimation unit 201 then calculates the heat loss coefficient (Q value) and the average outer wall heat transmission coefficient (U A The current (pre-renovation) thermal insulation performance of the building 101 is estimated using at least one of the above values.

[0025] The thermal image acquisition unit 202 acquires a thermal image, which is an image that visualizes the heat of the building 101, captured using an imaging device that can visualize the heat accumulated in the building 101. Then, the thermal image acquisition unit 202 acquires, as the thermal image, an indoor thermal image 102, which is an image that visualizes indoor heat, which is the heat inside the room of the building 101. Here, the indoor thermal image 102 as a thermal image is an image captured using an infrared camera as the imaging device, and the indoor thermal image 102 (thermal image) is an image that represents the heat distribution inside the room of the building 101 (building 101).

[0026] For example, an owner or resident of the building 101 may capture an image of the interior of the house as the building 101 with an infrared camera, and the captured image data may be transmitted to the renovation work proposal device 100 in real time, or may be temporarily stored in the infrared camera and then transmitted to the renovation work proposal device. The thermal image acquisition unit 202 then acquires the indoor thermal image 102 as the captured image data.

[0027] When acquiring the indoor thermal image 102 in real time, the thermal image acquiring unit 202 connects the infrared camera to the renovation work proposal device 100 via wired or wireless communication and acquires the indoor thermal image 102 directly from the infrared camera. When the indoor thermal image 102 is temporarily stored in the infrared camera, the thermal image acquiring unit 202 may acquire the indoor thermal image 102 from a removable storage device attached to the infrared camera. Alternatively, the thermal image acquiring unit 202 may acquire the indoor thermal image 102 from the storage device via wired or wireless communication. In this way, the thermal image acquiring unit 202 acquires the indoor thermal image 102 directly or indirectly from the infrared camera.

[0028] Furthermore, thermal images and indoor thermal images 102, which are images that visualize the heat in the building 101 or the rooms of the building 101, are images captured by so-called thermography cameras or thermal cameras. These cameras analyze infrared rays and far-infrared rays emitted from an object to create images that graphically represent heat distribution. As a device for capturing thermal images and indoor thermal images 102, for example, a thermography camera for a mobile device such as a smartphone or tablet terminal may be used. By using such a camera, even the owner or resident of the building 101 can easily capture thermal images, etc.

[0029] In order to reliably identify heat loss areas in the building 101, daytime thermal images and indoor thermal images 102 of the building 101 and its interior, as well as nighttime thermal images and indoor thermal images 102 of the building 101 and its interior, are required. That is, since the temperature of the building 101 etc. usually rises during the day and drops at night, it becomes easier to estimate the thermal insulation performance of the building 101 etc. by non-destructive testing. However, since it is difficult for employees of a construction company etc. to stay inside the building 101 etc. and take thermal images etc. at night, thermal images are taken by the owner of the building 101 etc., but the method for taking thermal images etc. is not limited to this method.

[0030] The heat loss portion identification unit 203 identifies the heat loss portion contained in the building 101 using the acquired thermal image and a trained heat loss portion identification model for identifying the heat loss portion contained in the building 101.

[0031] First, the heat loss portion identifying unit 203 detects objects present in the room from the acquired indoor thermal image 102. The detected objects include, for example, walls, floors, ceilings, furniture, etc. In this way, the heat loss portion identifying unit 203 identifies the objects present in the room based on characteristics such as infrared wavelengths.

[0032] Next, for the identified objects, the trained heat loss portion identification model is used to identify which objects are heat loss areas, or areas where heat is flowing from the inside to the outside. Here, the trained heat loss portion identification model is a model obtained by training data (teacher data) such as boundary lines or surfaces of walls, floors, ceilings, and fixtures (windows) that have a temperature difference of 2 degrees or more with adjacent areas and surfaces. The boundary lines or surfaces of walls, etc. refer to the same continuous surfaces (areas with the same conditions, such as facing the outside) that share the boundaries with the floor, ceiling, and windows. The trained heat loss portion identification model is then applied to the indoor thermal image 102 acquired as described above to identify heat loss areas, for example, within the interior of the building 101.

[0033] Here, boundaries and surfaces will be described in detail with reference to the indoor thermal image 102 shown in FIG. 2B. As described above, boundaries are junctions where different structures meet in buildings and other structures. The indoor thermal image 102 shows a wall surface 211 (wall), a ceiling surface 212 (ceiling), a floor surface 213 (floor), a wall surface 214 (wall), and a window surface 215 (window). The boundary between the wall surface 211 and the ceiling surface 212 is a boundary 220. Similarly, the boundary between the wall surface 211 and the wall surface 214 is a boundary 221. The boundary between the wall surface 211 and the floor surface 213 is a boundary 222. The boundary between the wall surface 211 and the window surface 215 is a boundary 223. Looking at the wall surface 214, the boundary between the walls 216 and 217 on the same plane is a boundary 224. By training the boundaries 220-224 identified in this way as training data, it is possible to obtain a trained model that can more reliably and accurately identify structures (walls, floors, ceilings, fixtures) that may become heat loss areas.

[0034] Next, referring to FIG. 2C, a method for identifying heat loss areas (insulated areas) in an identified structure will be described. First, the case of ceiling 230 (between floors + attic) will be described. In the case of ceiling 230, the ceiling 230 is recognized from the indoor thermal image 102, and two or more temperature blocks (block A and block B) with a temperature difference of 2°C or more are extracted from the recognized ceiling 230. That is, ceiling 230 is the ceiling surface of the first floor, and also includes the area directly below the floor and the area directly below the roof of the second floor. These areas do not have insulation, and therefore there is a difference in surface temperature even on the same surface. Then, either block A or block B, whichever has the lower temperature, or both, is identified as a heat loss area and determined to be an area requiring renovation.

[0035] Next, we will explain the case of the ceiling 231 (attic (exterior)) on the second floor (the case of the ceiling on the first floor is almost the same). As in the case of the ceiling 230, the ceiling 231 is recognized from the indoor thermal image 102, and if a rafter is visible near the exterior of the recognized ceiling 231, it is identified as a heat loss area and determined to be an area that needs to be renovated. In this way, since it is believed that there is no insulation material in the area where the rafter is visible, the heat loss area can be identified by determining the presence or absence of insulation material rather than insulation performance.

[0036] Next, we will explain the case of an airtight outlet cover 232 installed on a wall. The airtight outlet cover 232 is recognized from the indoor thermal image 102, and if the temperature around the recognized airtight outlet cover is 2°C or more lower than the median temperature of the same wall, the airtight outlet cover 232 is identified as a heat loss area and a part that needs to be repaired. In this case, there is air leakage from under the floor, and there is an area with a temperature difference around the airtight outlet cover 232.

[0037] Next, consider the case of a window surface 215, for example. First, the window (window surface 215) is identified as an opening. After identifying the window, if the curtains are open and the surface temperature of the window is clearly lower than the surrounding area, it is identified as a heat loss area and determined to be an area that needs repair. Also, if the curtains are closed and the temperature at the bottom of the curtains is clearly lower than the surrounding area, it is identified as a heat loss area and determined to be an area that needs repair. Note that, while the indoor thermal image 102 is usually captured with the curtains open, it is possible that the occupants of the building 101 may wish to close the curtains, so it is possible to identify heat loss areas depending on whether the curtains are open or closed.

[0038] Also, consider the case of floor surface 213, for example. The junction (boundary line 222) between the floor (floor surface 213) and the wall (wall surface 211) is recognized, and if the recognized boundary line 222 is clearly lower in temperature than the surrounding area, it is identified as a heat loss area and determined to be an area requiring renovation. In the case of a floor, the area that can be photographed is limited by carpets and furniture, making it difficult to make a judgment on the entire floor. Therefore, if the insulation performance of boundary line 222, which is the junction, is low, it is estimated that the insulation performance of the floor is also low, and it is determined to be an area of ​​heat loss.

[0039] The renovation work selection unit 204 selects from the renovation work list renovation work that is effective for the identified heat loss portion. The renovation work list includes floor insulation work, wall insulation work, ceiling insulation work, window insulation work (aluminum → resin), window insulation work (interior window), etc. Then, the renovation work selection unit 204 selects from the renovation work list renovation work that will eliminate heat loss from the identified heat loss portion. Floor insulation work in the renovation work list specifically refers to work to reinforce the insulation under the floor by filling or adding high-performance insulation material. Wall insulation work specifically refers to work to reinforce the insulation in the wall by replacing or adding high-performance insulation material. Ceiling insulation work specifically refers to work to reinforce the insulation above the ceiling by replacing or adding high-performance insulation material. Window insulation work specifically refers to work such as replacing window glass with double-glazed glass, replacing aluminum frames with resin-framed sashes, and installing resin-framed interior windows.

[0040] The post-renovation index estimation unit 205 estimates a post-renovation index as an index when the insulation performance is improved by the selected renovation work. That is, the post-renovation index estimation unit 205 estimates an index that represents the insulation performance of a room when the renovation work selected by the renovation work selection unit 204 is carried out in the room of the building 101, for example. By making such an estimation, it is possible to determine the impact of the renovation work on the insulation performance of the building 101, etc., and the effectiveness of the renovation work.

[0041] The score calculation unit 206 converts the estimated post-renovation indicators into scores to calculate the score. For example, the heat loss coefficient (Q value) or the like is converted into a score (point) as an indicator representing the insulation performance of the interior of the building 101 after the renovation work, making it easier to understand the added points due to the renovation work. The score is calculated, for example, as follows: First, the difference between the Q value before the renovation and the Q value after the renovation is calculated. The calculated Q value difference is converted into 1 score per 0.1 to calculate the post-renovation score. The pre-renovation Q value is calculated based on the calculation method described above. The post-renovation Q value is calculated by adding the heat losses of the renovated and non-renovated parts to calculate the total heat loss of the entire building. The post-renovation Q value is then calculated by dividing the total heat loss of the entire building by the total floor area and adding 0.42 (a fixed value) of the heat loss due to ventilation to that value. The score is calculated using the difference between the Q values ​​before and after the renovation calculated in this way. Note that the score calculation method is merely an example, and the score calculation method is not limited to the calculation method shown here.

[0042] The display control unit 207 displays the calculated score. The display control unit 207 displays the calculated score on a display of a mobile terminal such as a smartphone or a tablet terminal. The mobile terminal may be owned by, for example, the owner or resident of the building 101, an employee of a renovation company, or the like.

[0043] Next, an example of a renovation work list table 301 held by the renovation work proposal device 100 will be described with reference to Figure 3. The renovation work list table 301 stores renovation works 312 in association with heat loss portions 311. The heat loss portions 311 are portions of the building 101 where heat loss is occurring, such as indoors, and are portions identified by the heat loss portion identification unit 203. The renovation work 312 is a list of works required to reduce heat loss that are determined corresponding to the heat loss portions, and is work selected by the renovation work selection unit 204. The renovation work proposal device 100 then references the renovation work list table 301 to select the renovation work to be proposed.

[0044] The hardware configuration of the repair work proposal device 100 will be described with reference to FIG. 4. The CPU (Central Processing Unit) 410 is a processor for arithmetic and control, and executes programs to realize the various functional components of the repair work proposal device 100 shown in FIG. 2. The CPU 410 may have multiple processors and execute different programs, modules, tasks, threads, etc. in parallel. The ROM (Read Only Memory) 420 stores fixed data such as initial data and programs, as well as other programs. The network interface 430 communicates with other devices via a network. The CPU 410 is not limited to a single CPU, but may include multiple CPUs or a GPU (Graphics Processing Unit) for image processing. The network interface 430 preferably has a CPU independent of the CPU 410 and writes and reads transmitted and received data to and from the RAM (Random Access Memory) 440. A DMAC (Direct Memory Access Controller) (not shown) is also preferably provided to transfer data between the RAM 440 and the storage 450. The CPU 410 recognizes that data has been received or transferred to the RAM 440 and processes the data accordingly. The CPU 410 also prepares the processing results in the RAM 440, and leaves the subsequent transmission or transfer to the network interface 430 or DMAC.

[0045] The RAM 440 is a random access memory used by the CPU 410 as a temporary storage work area. The RAM 440 stores data necessary for implementing this embodiment. The area is secured. The estimated insulation performance 441 is data on the insulation performance of the building 101 or the interior of the building 101 estimated by non-destructive testing. The thermal imaging data 442 is image data showing the heat distribution in the building 101 or the interior of the building 101 captured using an infrared camera. The renovation work list data 443 is data on a list of work to reduce heat loss for identified heat loss areas. The index data 444 is index data on the insulation performance of the building 101 or the interior of the building 101 before and after renovation.

[0046] The transmitted / received data 445 is data that is transmitted and received via the network interface 430. The RAM 440 also has an application execution area 446 for executing various application modules.

[0047] The storage 450 stores a database, various parameters, and the following data or programs required to implement this embodiment. The storage 450 stores a repair work list table 301. The repair work list table 301 is a table that manages the relationship between the heat loss portion 311 and the repair work 312 shown in FIG. 3.

[0048] The storage 450 further stores an insulation performance estimation module 451, a thermal image acquisition module 452, a heat loss portion identification module 453, a renovation work selection module 454, a post-renovation index estimation module 455, a score calculation module 456, and a display control module 457.

[0049] The insulation performance estimation module 451 is a module that estimates the insulation performance of the building 101 through non-destructive testing. The thermal image acquisition module 452 is a module that uses an infrared camera to acquire thermal images and indoor thermal images 102, which are images that visualize the heat in the building 101 and the rooms of the building 101. The heat loss portion identification module 453 is a module that identifies heat loss portions in the building 101 (the rooms of the building 101) using the estimated insulation performance, the thermal image (the indoor thermal image 102), and a trained heat loss portion identification model. The renovation work selection module 454 is a module that selects renovation work that is effective for the identified heat loss portion from a renovation work list. The post-renovation index estimation module 455 is a module that estimates a post-renovation index as an index when the insulation performance is improved by the selected renovation work. The score calculation module 456 is a module that scores the estimated post-renovation index and calculates a score. The display control module 457 is a module that displays the calculated score. These modules 451 to 457 are read into the application execution area 446 of the RAM 440 and executed by the CPU 410. The control program 458 is a program for controlling the entire repair work proposal device 100.

[0050] The input / output interface 460 interfaces input / output data with input / output devices. A display unit 461 and an operation unit 462 are connected to the input / output interface 460. A storage medium 464 may also be connected to the input / output interface 460. A speaker 463 serving as an audio output unit, a microphone (not shown) serving as an audio input unit, or a GPS position determination unit may also be connected. Note that the RAM 440 and storage 450 shown in FIG. 4 do not include programs or data related to the general-purpose functions of the repair work proposal device 100 or other feasible functions.

[0051] Next, the processing procedure of the repair work proposal device 100 will be described with reference to the flowchart shown in Fig. 5. This flowchart is executed by the CPU 410 in Fig. 4 using the RAM 440, and realizes each functional configuration of the repair work proposal device 100 in Fig. 2.

[0052] In step S501, the insulation performance estimation unit 201 estimates the insulation performance of the building 101 or the like by non-destructive testing. In step S503, the thermal image acquisition unit 202 acquires a thermal image or the like, which is an image that visualizes the heat of the building 101 or the like, using an infrared camera that can visualize the heat accumulated in the building 101 or the like. In step S505, the heat loss portion identification unit 203 identifies a heat loss portion included in the building 101 or the like using the insulation performance, the thermal image, and the trained heat loss portion identification model. In step S507, the renovation work selection unit 204 selects from the renovation work list a renovation work that is effective for the identified heat loss portion. In step S509, the post-renovation index estimation unit 205 estimates a post-renovation index as an index of insulation performance when the insulation performance is improved by the selected renovation work. In step S511, the score calculation unit 206 scores the estimated post-renovation index to calculate a score. In step S513, the display control unit 207 displays the calculated score.

[0053] According to this embodiment, heat loss portions of a building, etc. are identified using a trained model, etc., so that it is possible to propose renovation work based on objective facts, rather than on the subjective opinions of residents of the building, etc. Furthermore, because the renovation work is proposed based on objective facts, there is a greater sense of satisfaction and satisfaction with the building, etc. after the renovation work is completed.

[0054] [Second embodiment] Next, a repair work proposal device according to a second embodiment of the present invention will be described with reference to Figs. 6 to 9. Fig. 6 is a block diagram illustrating the configuration of a repair work proposal device 600 according to this embodiment. The repair work proposal device 600 according to this embodiment differs from the first embodiment in that it includes a cost-effectiveness derivation unit 601. Other configurations and operations are the same as those in the first embodiment, so the same configurations and operations are denoted by the same reference numerals and detailed description thereof will be omitted.

[0055] The renovation work proposal device 600 has a cost-effectiveness derivation unit 601. The cost-effectiveness derivation unit 601 calculates the renovation work costs for the renovation work selected by the renovation work selection unit 204, and derives the cost-effectiveness of the renovation work from the calculated renovation work costs and the score.

[0056] When multiple renovation works are selected, the cost-effectiveness derivation unit 601 adds up the renovation costs of all the selected renovation works.The cost-effectiveness derivation unit 601 then determines the total score when all the selected renovation works are carried out as the score for the renovation works.

[0057] The cost-effectiveness derivation unit 601 may derive the cost-effectiveness based on the value of the renovation cost per point of the score improved by the renovation work, for example, by dividing the total renovation work cost by the difference between the score before the renovation work and the score after the renovation work. Alternatively, the cost-effectiveness of the renovation work may be derived using the increase (or increase rate) in the score before and after the renovation work and the renovation work cost.

[0058] The display control unit 207 displays the derived cost-effectiveness together with the score. For example, the display control unit 207 may display the increase (or increase rate) in the score before and after the construction of the renovation work alongside the renovation work cost. The display control unit 207 displays the score and cost-effectiveness on the display of a mobile terminal such as a smartphone or tablet terminal.

[0059] Next, an example of a renovation work cost table 701 held by the renovation work proposal device 600 will be described with reference to Figure 7. The renovation work cost table 701 stores renovation work costs 711 in association with the renovation work 312. The renovation work costs 711 are the costs for each renovation work 312. The cost-effectiveness derivation unit 601 then derives the cost-effectiveness of the renovation work by referring to the renovation work cost table 701.

[0060] The hardware configuration of the repair work proposal device 600 will be described with reference to Fig. 8. The CPU (Central Processing Unit) 410 is a processor for arithmetic control, and realizes each functional configuration of the repair work proposal device 600 in Fig. 6 by executing a program.

[0061] The RAM 840 is a random access memory used by the CPU 410 as a temporary storage work area. The RAM 840 includes a memory for storing data necessary for implementing this embodiment. The area is reserved. The renovation work cost data 841 is data relating to the cost of the selected renovation work.

[0062] The storage 850 stores databases, various parameters, and the following data or programs required to implement this embodiment. The storage 850 stores a repair work cost table 701. The repair work cost table 701 is a table that manages the relationship between the repair work 312 and the repair work cost 711 shown in FIG. 7.

[0063] The storage 850 further stores a cost-effectiveness derivation module 851. The cost-effectiveness derivation module 851 is a module that calculates the renovation work costs for the selected renovation work and derives the cost-effectiveness of the renovation work from the calculated renovation work costs and the score. This module 851 is read into the application execution area 446 of the RAM 840 by the CPU 410 and executed.

[0064] Next, the processing procedure of the repair work proposal device 600 will be described with reference to the flowchart shown in Fig. 9. This flowchart is executed by the CPU 410 in Fig. 8 using the RAM 840, and realizes each functional configuration of the repair work proposal device 600 in Fig. 6.

[0065] In step S901, the cost-effectiveness derivation unit 601 calculates the construction cost of the selected renovation work. In step S903, the cost-effectiveness derivation unit 601 derives the cost-effectiveness of the renovation work from the calculated renovation work cost and score. In step S905, the display control unit 207 displays the derived cost-effectiveness together with the score.

[0066] According to this embodiment, the advantages of insulation renovation work can be effectively presented to building owners, residents, and the like.

[0067] Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above-described embodiments and can be modified as appropriate. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. Furthermore, systems or devices that combine separate features included in each embodiment in any manner are also included in the scope of the present invention.

[0068] The present invention may also be applied to a system consisting of multiple devices or to a single device. Furthermore, the present invention may also be applied when an information processing program that realizes the functions of the embodiments is supplied to a system or device and executed by a built-in processor. Therefore, the technical scope of the present invention also includes a program installed on a computer to realize the functions of the present invention, a medium storing the program, a WWW (World Wide Web) server from which the program is downloaded, and a processor that executes the program. In particular, the technical scope of the present invention also includes a non-transitory computer-readable medium storing a program that causes a computer to execute at least the processing steps included in the above-described embodiments.

Claims

1. an insulation performance estimation unit that estimates the insulation performance of the building by non-destructive testing using an index that represents the insulation performance of the building; a thermal image acquisition unit that acquires a thermal image of the building, the thermal image being an image that visualizes the heat accumulated in the building, captured using an imaging device that can visualize the heat; a heat loss portion identification unit that identifies a heat loss portion for each part of the building using the acquired thermal image and a trained heat loss portion identification model for identifying a heat loss portion for each part of the building; a repair work selection unit that selects from a list of repair works that are effective for the heat loss portion of each identified part of the building; a post-repair index estimation unit that estimates a post-repair index as the index when the thermal insulation performance is repaired by the selected repair work; a score calculation unit that calculates a score of an improvement degree of the thermal insulation performance improved by the repair work based on the estimated thermal insulation performance and the post-repair index; a display control unit that displays the calculated score; A renovation work proposal device equipped with this.

2. The repair work suggestion device according to claim 1 , wherein the index and the post-repair index are at least one of a heat loss coefficient and an average outer skin heat transfer coefficient.

3. The repair work proposal device according to claim 1 or 2, wherein the thermal image acquisition unit acquires, as the thermal image, an indoor thermal image that is an image that visualizes indoor heat, which is heat inside a room of the building.

4. The repair work proposal device according to claim 3 , wherein the thermal image and the indoor thermal image are images captured using an infrared camera as the imaging device, and are images representing the heat distribution of the building.

5. A cost-effectiveness deriving unit calculates the cost of the renovation work selected by the renovation work selection unit and derives the cost-effectiveness of the renovation work from the calculated renovation work cost and the score, The repair work proposal device according to claim 1 , wherein the display control unit displays the derived cost-effectiveness together with the score.

6. An insulation performance estimation step in which an insulation performance estimation unit estimates the insulation performance of the building by non-destructive testing using an index representing the insulation performance of the building; a thermal image acquisition step in which a thermal image acquisition unit acquires a thermal image, which is an image that visualizes the heat of the building, captured by an imaging device that can visualize the heat accumulated in the building; a heat loss portion identification step in which a heat loss portion identification unit identifies a heat loss portion for each part of the building using the acquired thermal image and a trained heat loss portion identification model for identifying a heat loss portion for each part of the building; A renovation work selection step in which a renovation work selection unit selects from a renovation work list renovation work that is effective for the heat loss portion of each identified part of the building; A post-repair index estimation step in which a post-repair index estimation unit estimates a post-repair index as the index when the thermal insulation performance is improved by the selected repair work; a score calculation step in which a score calculation unit calculates a score of an improvement degree of the thermal insulation performance improved by the repair work based on the estimated thermal insulation performance and the post-repair index; a display control step in which a display control unit displays the calculated score; A method for proposing renovation work, including:

7. an insulation performance estimation step of estimating the insulation performance of the building by non-destructive testing using an index representing the insulation performance of the building; a thermal image acquisition step of acquiring a thermal image of the building, the thermal image being an image that visualizes the heat accumulated in the building, captured using an imaging device that can visualize the heat; a heat loss portion identification step of identifying a heat loss portion for each part of the building using the acquired thermal image and a trained heat loss portion identification model for identifying a heat loss portion for each part of the building; a renovation work selection step of selecting from a list of renovation works effective for the heat loss portion of each identified part of the building; A post-repair index estimation step of estimating a post-repair index as the index when the thermal insulation performance is improved by the selected repair work; A score calculation step of calculating a score of the degree of improvement of the thermal insulation performance by the repair work based on the estimated thermal insulation performance and the post-repair index; a display control step of displaying the calculated score; A renovation work proposal program that runs on a computer.

Images